From 73e87ec1b167b46f32da4c5c258aa6a014f36593 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 11:02:08 +0700 Subject: [PATCH 001/209] testing --- evals/load_evaluators.py | 7 +- .../text_modeling/text_modeling_evaluator.py | 109 ++++++++++++++++++ trainers/base_trainer.py | 6 +- trainers/build_trainers.py | 2 - trainers/evaluator.py | 7 ++ 5 files changed, 127 insertions(+), 4 deletions(-) create mode 100644 evals/text_modeling/text_modeling_evaluator.py diff --git a/evals/load_evaluators.py b/evals/load_evaluators.py index 5ce42ad8..8fc652c4 100644 --- a/evals/load_evaluators.py +++ b/evals/load_evaluators.py @@ -8,11 +8,15 @@ from evals.finetuning.qa import FinetuningQA from evals.mcqs.benchmarks.stories_progression import ProgressionEvaluator + +from evals.text_modeling.text_modeling_evaluator import TextModelingEvaluator + EVALUATORS_DICT = { "mcq": MCQEvaluator, "glue": FinetuningEvaluator, "ft_qa": FinetuningQA, - "prog": ProgressionEvaluator + "prog": ProgressionEvaluator, + "text_modeling": TextModelingEvaluator, } @@ -21,3 +25,4 @@ def load_evaluator(evaluator_name, model, **kwargs) -> EvaluationInterface: Given the evaluator name, load the evaluator """ return EVALUATORS_DICT[evaluator_name](model, **kwargs) + diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py new file mode 100644 index 00000000..ce93f35d --- /dev/null +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -0,0 +1,109 @@ +""" +Evaluator class for evaluating models. +""" +import os +import torch +import torch.nn.functional as F +from Levenshtein import distance as levenshtein_distance +from evals.evaluator_interface import EvaluationInterface + + +class TextModelingEvaluator(EvaluationInterface): + """ + Evaluator class that evaluates models on their language modeling + capabilities in a way that is agnostic to the tokenizer used, using byte-level accuracy. + """ + def __init__(self, model): + self.model = model + + # Ensure the model is in evaluation mode + self.model.eval() + + self.modeling_topics = os.listdir( + os.path.join("evals", "text_modeling", "data") + ) + self.modeling_difficulties = ["easy", "medium", "hard"] + + # Load the text data + self._load_data() + + def _load_data(self): + """ + Load all modeling texts into a dictionary. + """ + self.data = {} + for topic in self.modeling_topics: + self.data[topic] = {} + for difficulty in self.modeling_difficulties: + file_path = os.path.join( + "evals", "text_modeling", "data", topic, f"{difficulty}.txt" + ) + with open(file_path, "r") as f: + self.data[topic][difficulty] = f.read() + + def _split_into_chunks(self, text, chunk_size=100): + """ + Split the text into chunks of 'chunk_size' words. + """ + words = text.split() + return [' '.join(words[i:i + chunk_size]) for i in range(0, len(words), chunk_size)] + + def _process_chunk(self, chunk): + """ + Process a chunk of text by predicting the next word after the chunk. + """ + inputs = self.model.embedding_model.tokenize_input(chunk, return_tensors="pt") + input_ids = inputs.input_ids + + # Get logits from the model (normal forward pass) + with torch.no_grad(): + logits, _ = self.model(input_ids=input_ids) + + + # Shift the input tokens to align them with the predicted tokens + shift_labels = input_ids[:, 1:].contiguous() + shift_logits = logits[:, :-1, :].contiguous() + + # Get the predicted tokens (the ones with the highest logit) + predicted_token_ids = torch.argmax(shift_logits, dim=-1) + + return shift_labels, predicted_token_ids + + + def evaluate(self): + """ + Evaluate the model on text modeling capabilities. + """ + results = {} + for topic in self.modeling_topics: + for difficulty in self.modeling_difficulties: + reference_text = self.data[topic][difficulty] + + # Split the text into chunks + chunks = self._split_into_chunks(reference_text) + + total_edit_distance = 0 + count = 0 + + for chunk in chunks: + input_ids, predicted_ids = self._process_chunk(chunk) + + for input_id, predicted_id in zip(input_ids, predicted_ids): + input_text = self.model.embedding_model.decode(input_id, skip_special_tokens=True) + predicted_text = self.model.embedding_model.decode(predicted_id, skip_special_tokens=True) + input_text_enc = input_text.encode("utf-8") + total_edit_distance += levenshtein_distance( + input_text_enc, + predicted_text.encode("utf-8") + ) + # increment count by num bytes + count += len(input_text_enc) + + # Average edit distance over all chunks + avg_edit_distance = total_edit_distance / count + + if topic not in results: + results[topic] = {} + results[topic][difficulty] = avg_edit_distance + + return results \ No newline at end of file diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 4b956b84..3329b120 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -13,7 +13,7 @@ from trainers import datasets as train_dataloader from trainers import utils -from trainers.evaluator import train_eval +from trainers.evaluator import train_eval, train_eval_text_modeling import numpy as np from itertools import islice @@ -157,6 +157,10 @@ def estimate_performance(self, eval_iters=None): for metric in evaluator_results[evaluator["evaluator"]]: relabeled_results[f"{evaluator['evaluator']}/{metric}"] = evaluator_results[evaluator["evaluator"]][metric] evaluator_results[evaluator["evaluator"]] = relabeled_results + + text_modeling_results = train_eval_text_modeling(self.model) + print(text_modeling_results) + exit() self.model.train() return eval_results, evaluator_results diff --git a/trainers/build_trainers.py b/trainers/build_trainers.py index 1f213a61..b32681f5 100644 --- a/trainers/build_trainers.py +++ b/trainers/build_trainers.py @@ -184,8 +184,6 @@ def build_trainer(cfg, model, gpu_id): else: train_sampler = None val_sampler = None - train_sampler = torch.utils.data.SequentialSampler(train_dataset) - val_sampler = torch.utils.data.SequentialSampler(val_dataset) # wrap in dataloaders train_dataloader = torch.utils.data.DataLoader( diff --git a/trainers/evaluator.py b/trainers/evaluator.py index 510a3671..88a72d32 100644 --- a/trainers/evaluator.py +++ b/trainers/evaluator.py @@ -11,3 +11,10 @@ def train_eval(eval_cfg, model): evaluator = load_evaluator(evaluator_name, model, **kwargs) results = evaluator.evaluate() return results + + +def train_eval_text_modeling(model): + """ Test the model """ + evaluator = load_evaluator("text_modeling", model) + results = evaluator.evaluate() + return results \ No newline at end of file From ed196a598743c719a2118137481e7acbdd2465f7 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:11:17 +0700 Subject: [PATCH 002/209] testing --- .../test_data/mathematics/easy.txt | 19 +++++++ .../test_data/mathematics/hard.txt | 46 +++++++++++++++++ .../test_data/mathematics/medium.txt | 49 +++++++++++++++++++ .../text_modeling/text_modeling_evaluator.py | 4 +- 4 files changed, 116 insertions(+), 2 deletions(-) create mode 100644 evals/text_modeling/test_data/mathematics/easy.txt create mode 100644 evals/text_modeling/test_data/mathematics/hard.txt create mode 100644 evals/text_modeling/test_data/mathematics/medium.txt diff --git a/evals/text_modeling/test_data/mathematics/easy.txt b/evals/text_modeling/test_data/mathematics/easy.txt new file mode 100644 index 00000000..83c68b11 --- /dev/null +++ b/evals/text_modeling/test_data/mathematics/easy.txt @@ -0,0 +1,19 @@ +Probability is the branch of mathematics that deals with the likelihood of events happening. When we talk about probability, we usually refer to how likely something is to occur. The probability of an event is always a number between 0 and 1. A probability of 0 means that the event is impossible, while a probability of 1 means that the event is certain to happen. + +To understand probability, let's start with a simple example: flipping a fair coin. A fair coin has two sides, heads and tails, and each side is equally likely to land face up. Since there are two possible outcomes, the probability of getting heads is \( \frac{1}{2} \) or 0.5, and the probability of getting tails is also \( \frac{1}{2} \) or 0.5. + +Another important concept in probability is the idea of independent events. Two events are independent if the occurrence of one does not affect the occurrence of the other. For example, if you flip a coin twice, the result of the first flip does not influence the result of the second flip. The probability of getting two heads in a row is calculated by multiplying the probability of getting heads on the first flip by the probability of getting heads on the second flip: \( \frac{1}{2} \times \frac{1}{2} = \frac{1}{4} \) or 0.25. + +Probability can be applied to many real-life situations, such as predicting the weather, deciding whether to take an umbrella, or determining the chances of winning a game. By understanding probability, we can make better decisions based on the likelihood of different outcomes. + +Geometry is the branch of mathematics that deals with shapes, sizes, and the properties of space. One of the most basic concepts in geometry is the idea of a point, which represents a location in space with no dimensions—no length, width, or height. Points are usually labeled with capital letters like \( A \) or \( B \). + +Another fundamental concept is the line, which is a straight path that extends infinitely in both directions and has no thickness. A line can be defined by any two points on it. If we have two points \( A \) and \( B \), the line passing through them can be denoted as \( \overleftrightarrow{AB} \). + +When a line is drawn between two points, but it doesn't extend infinitely, it is called a line segment. For example, the line segment \( \overline{AB} \) represents the straight path between points \( A \) and \( B \), and it has a finite length. + +Angles are another important concept in geometry. An angle is formed when two rays meet at a common endpoint, called the vertex. Angles are measured in degrees, and there are different types of angles based on their measures. For example, a right angle measures exactly 90 degrees, while an acute angle is less than 90 degrees, and an obtuse angle is more than 90 degrees but less than 180 degrees. + +Triangles, which are three-sided polygons, are a common shape in geometry. The sum of the angles in any triangle is always 180 degrees. Triangles can be classified by their angles or sides. For example, an equilateral triangle has all three sides of equal length, and all three angles are 60 degrees. + +Understanding these basic concepts of geometry helps us describe and analyze the shapes and spaces around us, from the simple shapes we see in everyday life to the complex structures used in architecture and engineering. diff --git a/evals/text_modeling/test_data/mathematics/hard.txt b/evals/text_modeling/test_data/mathematics/hard.txt new file mode 100644 index 00000000..05f2b8aa --- /dev/null +++ b/evals/text_modeling/test_data/mathematics/hard.txt @@ -0,0 +1,46 @@ +Differential geometry is a field of mathematics that uses the techniques of calculus and linear algebra to study the geometry of curves, surfaces, and more generally, manifolds. A manifold is a topological space that locally resembles Euclidean space and allows for the generalization of concepts such as curves and surfaces to higher dimensions. + +One of the key objects of study in differential geometry is the Riemannian manifold, which is a real, smooth manifold equipped with a Riemannian metric. The Riemannian metric is a positive-definite tensor that allows for the measurement of distances and angles on the manifold. Given a Riemannian manifold \( (M, g) \), where \( M \) is the manifold and \( g \) is the metric, the length of a curve \( \gamma(t) \) from point \( p \) to point \( q \) can be computed as: + +\[ +L(\gamma) = \int_a^b \sqrt{g(\gamma'(t), \gamma'(t))} \, dt +\] + +Here, \( \gamma'(t) \) is the tangent vector to the curve \( \gamma(t) \), and the integrand represents the speed of the curve at each point. + +Curvature is another fundamental concept in differential geometry, which measures how much a geometric object deviates from being flat. For a curve on a surface, the Gaussian curvature \( K \) at a point is defined as the product of the principal curvatures \( k_1 \) and \( k_2 \): + +\[ +K = k_1 k_2 +\] + +For a Riemannian manifold, the curvature is described by the Riemann curvature tensor \( R \), which encodes how much the metric \( g \) deviates from the flat metric. The sectional curvature, Ricci curvature, and scalar curvature are specific contractions of the Riemann curvature tensor that provide important geometric and topological information about the manifold. + +The study of geodesics, which are the generalization of straight lines to curved spaces, is central in differential geometry. Geodesics are critical points of the energy functional, and they locally minimize the distance between points on the manifold. The equation governing geodesics is given by the geodesic equation: + +\[ +\frac{d^2 x^\mu}{dt^2} + \Gamma^\mu_{\nu \lambda} \frac{dx^\nu}{dt} \frac{dx^\lambda}{dt} = 0 +\] + +where \( \Gamma^\mu_{\nu \lambda} \) are the Christoffel symbols, which are derived from the metric \( g \). + +Differential geometry has profound implications in theoretical physics, particularly in the theory of general relativity, where the curvature of spacetime is related to the energy-momentum tensor via Einstein's field equations. + +Topology is a branch of mathematics that studies the properties of space that are preserved under continuous deformations, such as stretching and bending, but not tearing or gluing. One of the key concepts in topology is that of a topological space, which is a set \( X \) together with a collection \( \mathcal{T} \) of subsets of \( X \) (called open sets) that satisfies certain axioms. + +A topological space \( (X, \mathcal{T}) \) must satisfy the following conditions: +1. **The empty set and the entire set are open**: \( \emptyset \in \mathcal{T} \) and \( X \in \mathcal{T} \). +2. **Arbitrary unions of open sets are open**: If \( \{U_\alpha\}_{\alpha \in A} \) is a collection of open sets in \( \mathcal{T} \), then \( \bigcup_{\alpha \in A} U_\alpha \in \mathcal{T} \). +3. **Finite intersections of open sets are open**: If \( U_1, U_2, \dots, U_n \) are open sets in \( \mathcal{T} \), then \( \bigcap_{i=1}^n U_i \in \mathcal{T} \). + +A familiar example of a topological space is the real line \( \mathbb{R} \) with the standard topology, where the open sets are all possible unions of open intervals \( (a, b) \) where \( a < b \). + +One of the fundamental concepts in topology is the notion of continuity. A function \( f: X \rightarrow Y \) between two topological spaces \( X \) and \( Y \) is continuous if the preimage of every open set in \( Y \) is an open set in \( X \). This generalizes the usual notion of continuity from calculus, where a function is continuous if it does not have any "jumps" or "breaks." + +Another important concept is that of a homeomorphism, which is a bijective continuous function with a continuous inverse. Two spaces that are homeomorphic are considered to be topologically equivalent, meaning they have the same topological properties. + +Topological invariants are properties of a space that remain unchanged under homeomorphisms. Examples include connectedness, compactness, and the fundamental group. The fundamental group, \( \pi_1(X) \), is a topological invariant that captures information about the loops in a space \( X \). It is defined as the group of homotopy classes of loops based at a point, with the group operation being concatenation of loops. + +In recent developments, topology has found applications in data analysis through the field of topological data analysis (TDA). TDA uses concepts from topology to study the shape of data, providing tools to detect features such as clusters, holes, and voids in datasets. + +Topology also plays a crucial role in modern physics, particularly in the study of spacetime and in theories such as string theory, where the topology of the underlying space can have significant implications for the physical properties of the universe. diff --git a/evals/text_modeling/test_data/mathematics/medium.txt b/evals/text_modeling/test_data/mathematics/medium.txt new file mode 100644 index 00000000..a62aba2a --- /dev/null +++ b/evals/text_modeling/test_data/mathematics/medium.txt @@ -0,0 +1,49 @@ +Linear algebra is a branch of mathematics that deals with vectors, vector spaces, and linear transformations. One of the central concepts in linear algebra is the matrix, which is a rectangular array of numbers arranged in rows and columns. Matrices are used to represent linear transformations, which are functions that map vectors to other vectors in a way that preserves vector addition and scalar multiplication. + +Let’s consider a \( 2 \times 2 \) matrix \( A \): + +\[ +A = \begin{pmatrix} a & b \\ c & d \end{pmatrix} +\] + +This matrix can be used to transform a vector \( \mathbf{x} = \begin{pmatrix} x_1 \\ x_2 \end{pmatrix} \) by matrix multiplication: + +\[ +A\mathbf{x} = \begin{pmatrix} a & b \\ c & d \end{pmatrix} \begin{pmatrix} x_1 \\ x_2 \end{pmatrix} = \begin{pmatrix} ax_1 + bx_2 \\ cx_1 + dx_2 \end{pmatrix} +\] + +The result is a new vector in the same vector space. The properties of the matrix \( A \) determine how the vector \( \mathbf{x} \) is transformed. For instance, if \( A \) is a rotation matrix, it will rotate the vector \( \mathbf{x} \) by a certain angle around the origin. + +Another key concept in linear algebra is the determinant of a matrix, which is a scalar value that provides important information about the matrix. For a \( 2 \times 2 \) matrix \( A \), the determinant is calculated as: + +\[ +\text{det}(A) = ad - bc +\] + +The determinant can tell us whether a matrix is invertible (non-zero determinant) or not (zero determinant). If the determinant is zero, the matrix does not have an inverse, which means it cannot be used to uniquely solve a system of linear equations. + +Eigenvalues and eigenvectors are also fundamental in linear algebra. An eigenvector of a matrix \( A \) is a non-zero vector \( \mathbf{v} \) such that when \( A \) is applied to \( \mathbf{v} \), the vector is scaled by a factor \( \lambda \), which is called the eigenvalue: + +\[ +A\mathbf{v} = \lambda\mathbf{v} +\] + +Understanding these concepts is crucial for applications in various fields, including computer graphics, quantum mechanics, and machine learning. + +Abstract algebra is a field of mathematics that studies algebraic structures such as groups, rings, and fields. One of the foundational concepts in abstract algebra is the group, which is a set \( G \) equipped with a binary operation \( \cdot \) that satisfies four important properties: closure, associativity, identity, and invertibility. + +A group \( (G, \cdot) \) must satisfy the following conditions: +1. **Closure**: For all \( a, b \in G \), the result of the operation \( a \cdot b \) must also be in \( G \). +2. **Associativity**: For all \( a, b, c \in G \), the equation \( (a \cdot b) \cdot c = a \cdot (b \cdot c) \) must hold. +3. **Identity**: There must be an element \( e \in G \) such that for every element \( a \in G \), \( e \cdot a = a \cdot e = a \). This element \( e \) is called the identity element. +4. **Invertibility**: For each element \( a \in G \), there must be an element \( b \in G \) such that \( a \cdot b = b \cdot a = e \). The element \( b \) is called the inverse of \( a \). + +An example of a group is the set of integers \( \mathbb{Z} \) with the operation of addition. The set \( \mathbb{Z} \) is closed under addition, addition is associative, the identity element is 0, and every integer \( a \) has an inverse, which is \( -a \). + +Groups can be classified into different types, such as abelian groups, where the operation is commutative (\( a \cdot b = b \cdot a \) for all \( a, b \in G \)), and non-abelian groups, where the operation is not commutative. + +Rings and fields are more complex structures that build on the concept of groups. A ring is a set \( R \) equipped with two binary operations, typically addition and multiplication, that satisfy certain properties. A field is a ring in which every non-zero element has a multiplicative inverse. + +For example, the set of real numbers \( \mathbb{R} \) is a field because it satisfies all the properties of a ring, and every non-zero real number has a multiplicative inverse. + +Abstract algebra has many applications in mathematics and other fields, such as cryptography, coding theory, and physics. diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index ce93f35d..5b20b97c 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -20,7 +20,7 @@ def __init__(self, model): self.model.eval() self.modeling_topics = os.listdir( - os.path.join("evals", "text_modeling", "data") + os.path.join("evals", "text_modeling", "test_data") ) self.modeling_difficulties = ["easy", "medium", "hard"] @@ -36,7 +36,7 @@ def _load_data(self): self.data[topic] = {} for difficulty in self.modeling_difficulties: file_path = os.path.join( - "evals", "text_modeling", "data", topic, f"{difficulty}.txt" + "evals", "text_modeling", "test_data", topic, f"{difficulty}.txt" ) with open(file_path, "r") as f: self.data[topic][difficulty] = f.read() From 4b7729e0a3170cc1c7ec8b34695c670ce0a2fb13 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:15:40 +0700 Subject: [PATCH 003/209] testing --- evals/text_modeling/text_modeling_evaluator.py | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index 5b20b97c..ab3a13e9 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -2,6 +2,7 @@ Evaluator class for evaluating models. """ import os +import hydra import torch import torch.nn.functional as F from Levenshtein import distance as levenshtein_distance @@ -20,7 +21,9 @@ def __init__(self, model): self.model.eval() self.modeling_topics = os.listdir( - os.path.join("evals", "text_modeling", "test_data") + hydra.utils.to_absolute_path( + os.path.join("evals", "text_modeling", "test_data") + ) ) self.modeling_difficulties = ["easy", "medium", "hard"] @@ -35,8 +38,10 @@ def _load_data(self): for topic in self.modeling_topics: self.data[topic] = {} for difficulty in self.modeling_difficulties: - file_path = os.path.join( - "evals", "text_modeling", "test_data", topic, f"{difficulty}.txt" + file_path = hydra.utils.to_absolute_path( + os.path.join( + "evals", "text_modeling", "test_data", topic, f"{difficulty}.txt" + ) ) with open(file_path, "r") as f: self.data[topic][difficulty] = f.read() From f2f1742cbd177403abd04e51dd7b02cf02a25e10 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:17:37 +0700 Subject: [PATCH 004/209] testing --- evals/text_modeling/text_modeling_evaluator.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index ab3a13e9..50078f86 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -57,7 +57,7 @@ def _process_chunk(self, chunk): """ Process a chunk of text by predicting the next word after the chunk. """ - inputs = self.model.embedding_model.tokenize_input(chunk, return_tensors="pt") + inputs = self.model.embedding_model.tokenize_input(chunk) #, return_tensors="pt") input_ids = inputs.input_ids # Get logits from the model (normal forward pass) From 65e2359829623ca8549c4a25ee8e61b50a9532ab Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:18:47 +0700 Subject: [PATCH 005/209] testing --- evals/text_modeling/text_modeling_evaluator.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index 50078f86..01249eda 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -57,8 +57,7 @@ def _process_chunk(self, chunk): """ Process a chunk of text by predicting the next word after the chunk. """ - inputs = self.model.embedding_model.tokenize_input(chunk) #, return_tensors="pt") - input_ids = inputs.input_ids + input_ids = self.model.embedding_model.tokenize_input(chunk) #, return_tensors="pt") # Get logits from the model (normal forward pass) with torch.no_grad(): From 1beac8fb4dface3c03b3291e276743e0615aacc0 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:20:08 +0700 Subject: [PATCH 006/209] testing --- evals/text_modeling/text_modeling_evaluator.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index 01249eda..d75a56e4 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -61,7 +61,7 @@ def _process_chunk(self, chunk): # Get logits from the model (normal forward pass) with torch.no_grad(): - logits, _ = self.model(input_ids=input_ids) + logits, _ = self.model(token_ids=input_ids) # Shift the input tokens to align them with the predicted tokens From 22813bd5105d2fb8d69f9769884249a56ae582bf Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:23:32 +0700 Subject: [PATCH 007/209] testing --- evals/text_modeling/text_modeling_evaluator.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index d75a56e4..122fd8a1 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -59,6 +59,9 @@ def _process_chunk(self, chunk): """ input_ids = self.model.embedding_model.tokenize_input(chunk) #, return_tensors="pt") + # convert to tensor + input_ids = torch.tensor(input_ids).unsqueeze(0).to(self.model.device) + # Get logits from the model (normal forward pass) with torch.no_grad(): logits, _ = self.model(token_ids=input_ids) From 883ce587d460e97fa2aba483737b0578c3a781d9 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:24:58 +0700 Subject: [PATCH 008/209] testing --- evals/text_modeling/text_modeling_evaluator.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index 122fd8a1..a68b958d 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -96,8 +96,8 @@ def evaluate(self): input_ids, predicted_ids = self._process_chunk(chunk) for input_id, predicted_id in zip(input_ids, predicted_ids): - input_text = self.model.embedding_model.decode(input_id, skip_special_tokens=True) - predicted_text = self.model.embedding_model.decode(predicted_id, skip_special_tokens=True) + input_text = self.model.embedding_model.decode(input_id)# , skip_special_tokens=True) + predicted_text = self.model.embedding_model.decode(predicted_id) #, skip_special_tokens=True) input_text_enc = input_text.encode("utf-8") total_edit_distance += levenshtein_distance( input_text_enc, From 29860368fb30c7f692ea7c012fb44b55927ab4d8 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:26:59 +0700 Subject: [PATCH 009/209] testing --- evals/text_modeling/text_modeling_evaluator.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index a68b958d..7099f992 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -96,8 +96,8 @@ def evaluate(self): input_ids, predicted_ids = self._process_chunk(chunk) for input_id, predicted_id in zip(input_ids, predicted_ids): - input_text = self.model.embedding_model.decode(input_id)# , skip_special_tokens=True) - predicted_text = self.model.embedding_model.decode(predicted_id) #, skip_special_tokens=True) + input_text = self.model.embedding_model.decode([input_id])# , skip_special_tokens=True) + predicted_text = self.model.embedding_model.decode([predicted_id]) #, skip_special_tokens=True) input_text_enc = input_text.encode("utf-8") total_edit_distance += levenshtein_distance( input_text_enc, From 0402752846b5813a8fec218e6821768e08cf24fe Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:28:34 +0700 Subject: [PATCH 010/209] testing --- evals/text_modeling/text_modeling_evaluator.py | 1 + 1 file changed, 1 insertion(+) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index 7099f992..6bdaae71 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -96,6 +96,7 @@ def evaluate(self): input_ids, predicted_ids = self._process_chunk(chunk) for input_id, predicted_id in zip(input_ids, predicted_ids): + print(input_id, predicted_id) input_text = self.model.embedding_model.decode([input_id])# , skip_special_tokens=True) predicted_text = self.model.embedding_model.decode([predicted_id]) #, skip_special_tokens=True) input_text_enc = input_text.encode("utf-8") From 0523c661821d7f22b3004597385955a1402f6f2b Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:32:14 +0700 Subject: [PATCH 011/209] testing --- evals/text_modeling/text_modeling_evaluator.py | 1 + 1 file changed, 1 insertion(+) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index 6bdaae71..eaa03dfb 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -94,6 +94,7 @@ def evaluate(self): for chunk in chunks: input_ids, predicted_ids = self._process_chunk(chunk) + print(input_ids, predicted_ids) for input_id, predicted_id in zip(input_ids, predicted_ids): print(input_id, predicted_id) From e2e7d598da02c80fb0f80dc19db27699e53c7c74 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:35:13 +0700 Subject: [PATCH 012/209] testing --- evals/text_modeling/text_modeling_evaluator.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index eaa03dfb..be366e4e 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -88,15 +88,14 @@ def evaluate(self): # Split the text into chunks chunks = self._split_into_chunks(reference_text) - + # TODO the chunks should be stacked and run simulataneously total_edit_distance = 0 count = 0 for chunk in chunks: input_ids, predicted_ids = self._process_chunk(chunk) - print(input_ids, predicted_ids) - for input_id, predicted_id in zip(input_ids, predicted_ids): + for input_id, predicted_id in zip(input_ids[0], predicted_ids[0]): print(input_id, predicted_id) input_text = self.model.embedding_model.decode([input_id])# , skip_special_tokens=True) predicted_text = self.model.embedding_model.decode([predicted_id]) #, skip_special_tokens=True) From cf43624ef80ce2fc3d463da5c6a3ef449bc5e34d Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:36:25 +0700 Subject: [PATCH 013/209] testing --- evals/text_modeling/text_modeling_evaluator.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index be366e4e..6575ecc8 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -97,8 +97,8 @@ def evaluate(self): for input_id, predicted_id in zip(input_ids[0], predicted_ids[0]): print(input_id, predicted_id) - input_text = self.model.embedding_model.decode([input_id])# , skip_special_tokens=True) - predicted_text = self.model.embedding_model.decode([predicted_id]) #, skip_special_tokens=True) + input_text = self.model.embedding_model.decode([input_id.item()])# , skip_special_tokens=True) + predicted_text = self.model.embedding_model.decode([predicted_id.item()]) #, skip_special_tokens=True) input_text_enc = input_text.encode("utf-8") total_edit_distance += levenshtein_distance( input_text_enc, From b15af1cffef9ff236744d0f6d4015cee8b1dc812 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:41:34 +0700 Subject: [PATCH 014/209] testing --- evals/text_modeling/text_modeling_evaluator.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index 6575ecc8..75a346f7 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -97,8 +97,9 @@ def evaluate(self): for input_id, predicted_id in zip(input_ids[0], predicted_ids[0]): print(input_id, predicted_id) - input_text = self.model.embedding_model.decode([input_id.item()])# , skip_special_tokens=True) - predicted_text = self.model.embedding_model.decode([predicted_id.item()]) #, skip_special_tokens=True) + input_text = self.model.embedding_model.decode([[input_id.item()]])# , skip_special_tokens=True) + predicted_text = self.model.embedding_model.decode([[predicted_id.item()]]) #, skip_special_tokens=True) + print(input_text, predicted_text) input_text_enc = input_text.encode("utf-8") total_edit_distance += levenshtein_distance( input_text_enc, From 1b008376536cb7ac102034affb5b00c53ca252cd Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:43:52 +0700 Subject: [PATCH 015/209] testing --- evals/text_modeling/text_modeling_evaluator.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index 75a346f7..47f20042 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -96,14 +96,12 @@ def evaluate(self): input_ids, predicted_ids = self._process_chunk(chunk) for input_id, predicted_id in zip(input_ids[0], predicted_ids[0]): - print(input_id, predicted_id) input_text = self.model.embedding_model.decode([[input_id.item()]])# , skip_special_tokens=True) predicted_text = self.model.embedding_model.decode([[predicted_id.item()]]) #, skip_special_tokens=True) - print(input_text, predicted_text) - input_text_enc = input_text.encode("utf-8") + input_text_enc = input_text[0].encode("utf-8") total_edit_distance += levenshtein_distance( input_text_enc, - predicted_text.encode("utf-8") + predicted_text[0].encode("utf-8") ) # increment count by num bytes count += len(input_text_enc) From 42c2351ff853aff2a5b494e9721684f6c62ce245 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:51:17 +0700 Subject: [PATCH 016/209] testing --- .../test_data/chemistry/easy.txt | 17 ++++++++++ .../test_data/chemistry/hard.txt | 27 +++++++++++++++ .../test_data/chemistry/medium.txt | 33 +++++++++++++++++++ .../test_data/sociology/easy.txt | 23 +++++++++++++ .../test_data/sociology/hard.txt | 25 ++++++++++++++ .../test_data/sociology/medium.txt | 21 ++++++++++++ 6 files changed, 146 insertions(+) create mode 100644 evals/text_modeling/test_data/chemistry/easy.txt create mode 100644 evals/text_modeling/test_data/chemistry/hard.txt create mode 100644 evals/text_modeling/test_data/chemistry/medium.txt create mode 100644 evals/text_modeling/test_data/sociology/easy.txt create mode 100644 evals/text_modeling/test_data/sociology/hard.txt create mode 100644 evals/text_modeling/test_data/sociology/medium.txt diff --git a/evals/text_modeling/test_data/chemistry/easy.txt b/evals/text_modeling/test_data/chemistry/easy.txt new file mode 100644 index 00000000..47e5d897 --- /dev/null +++ b/evals/text_modeling/test_data/chemistry/easy.txt @@ -0,0 +1,17 @@ +Chemical reactions are processes where substances, called reactants, are transformed into new substances, called products. This transformation occurs when the atoms in the reactants are rearranged to form different molecules. One of the most common examples of a chemical reaction is the burning of wood. When wood burns, it reacts with oxygen in the air to produce carbon dioxide, water, and ash. The wood and oxygen are the reactants, while the carbon dioxide, water, and ash are the products. + +Chemical reactions can be classified into different types. One type is a synthesis reaction, where two or more reactants combine to form a single product. For example, when hydrogen gas reacts with oxygen gas, they combine to form water: \( 2H_2 + O_2 \rightarrow 2H_2O \). Another type is a decomposition reaction, where a single reactant breaks down into two or more products. An example is the decomposition of water into hydrogen and oxygen gases when electricity is passed through it: \( 2H_2O \rightarrow 2H_2 + O_2 \). + +Reactions can also be classified based on energy changes. Exothermic reactions release energy, often in the form of heat, like the burning of wood. Endothermic reactions absorb energy from their surroundings, such as the reaction between baking soda and vinegar, which feels cold to the touch. + +Understanding chemical reactions is important because they are involved in many everyday processes, from cooking food to powering cars. By studying chemical reactions, we can learn how to control them, making them faster, slower, or more efficient depending on our needs. + +Acids and bases are two important types of substances in chemistry that have distinct properties and behaviors. An acid is a substance that can donate a proton (H\(^+\)) to another substance, while a base is a substance that can accept a proton. This ability to donate or accept protons is what makes acids and bases react with each other in a process called neutralization. + +One of the most common examples of an acid is hydrochloric acid (HCl), which is found in stomach acid. When hydrochloric acid dissolves in water, it releases protons, making the solution acidic. On the other hand, sodium hydroxide (NaOH) is a common base. When it dissolves in water, it releases hydroxide ions (OH\(^-\)), which can accept protons from acids. + +The strength of an acid or base depends on how easily it donates or accepts protons. Strong acids, like sulfuric acid (H\(_2\)SO\(_4\)), completely dissociate in water, meaning they donate all their protons. Weak acids, like acetic acid (found in vinegar), only partially dissociate in water. Similarly, strong bases, like potassium hydroxide (KOH), completely dissociate in water, while weak bases, like ammonia (NH\(_3\)), do not. + +The pH scale is used to measure how acidic or basic a solution is. The scale ranges from 0 to 14, with 7 being neutral (neither acidic nor basic). A pH less than 7 indicates an acidic solution, while a pH greater than 7 indicates a basic solution. + +Understanding acids and bases is important because they play a crucial role in many chemical reactions, including those that occur in our bodies, in nature, and in industrial processes. diff --git a/evals/text_modeling/test_data/chemistry/hard.txt b/evals/text_modeling/test_data/chemistry/hard.txt new file mode 100644 index 00000000..c3f658e1 --- /dev/null +++ b/evals/text_modeling/test_data/chemistry/hard.txt @@ -0,0 +1,27 @@ +Quantum chemistry is the branch of chemistry that uses the principles of quantum mechanics to describe the behavior of electrons in atoms and molecules. Unlike classical physics, which treats particles like electrons as discrete entities with defined paths, quantum mechanics introduces the concept of wave-particle duality, where particles exhibit both wave-like and particle-like properties. + +One of the fundamental equations in quantum chemistry is the Schrödinger equation, which describes how the quantum state of a physical system changes over time. For a single electron in a hydrogen atom, the time-independent Schrödinger equation can be written as: + +\[ +-\frac{\hbar^2}{2m} \nabla^2 \psi(\mathbf{r}) + V(\mathbf{r}) \psi(\mathbf{r}) = E \psi(\mathbf{r}) +\] + +Here, \( \psi(\mathbf{r}) \) is the wavefunction of the electron, \( V(\mathbf{r}) \) is the potential energy, \( E \) is the total energy, \( m \) is the mass of the electron, and \( \hbar \) is the reduced Planck constant. The wavefunction \( \psi(\mathbf{r}) \) contains all the information about the electron's state, including the probability distribution of its position. + +In quantum chemistry, molecular orbitals are solutions to the Schrödinger equation for molecules, where electrons are not confined to individual atoms but are distributed over the entire molecule. These orbitals can be bonding, antibonding, or nonbonding, and their interactions determine the stability and reactivity of the molecule. + +The concept of electron correlation is also crucial in quantum chemistry. Electron correlation refers to the interactions between electrons in a molecule that are not captured by the mean-field approximation used in methods like Hartree-Fock theory. Advanced computational techniques, such as Configuration Interaction (CI) and Coupled-Cluster (CC) methods, are employed to account for electron correlation and provide more accurate descriptions of molecular systems. + +Quantum chemistry plays a pivotal role in understanding chemical reactions at the molecular level, predicting the properties of new materials, and designing drugs in the pharmaceutical industry. Its applications extend to various fields, including spectroscopy, photochemistry, and catalysis, making it an essential area of study in modern chemistry. + +Spectroscopy is a powerful analytical technique in chemistry that involves the interaction of electromagnetic radiation with matter to study the structure, composition, and dynamics of molecules. By analyzing the absorption, emission, or scattering of light by a substance, spectroscopy provides detailed information about the energy levels and electronic, vibrational, and rotational states of atoms and molecules. + +One of the most widely used types of spectroscopy is Nuclear Magnetic Resonance (NMR) spectroscopy, which exploits the magnetic properties of certain nuclei, such as hydrogen (\(^1H\)) and carbon (\(^{13}C\)). In NMR spectroscopy, a sample is placed in a strong magnetic field, causing the nuclear spins to align with or against the field. When exposed to radiofrequency radiation, these nuclei can absorb energy and transition between different spin states. The resulting NMR spectrum reveals the chemical environment of the nuclei, allowing for the determination of molecular structure, including functional groups, connectivity, and even stereochemistry. + +Another important technique is Infrared (IR) spectroscopy, which measures the absorption of infrared light by molecules, leading to transitions between vibrational energy levels. Each bond in a molecule has a characteristic vibrational frequency, which corresponds to specific wavelengths of infrared light. By analyzing an IR spectrum, chemists can identify functional groups and characterize the bonding within a molecule. For example, the O-H stretch in alcohols and water appears as a broad absorption band around 3200-3600 cm\(^{-1}\). + +Ultraviolet-Visible (UV-Vis) spectroscopy, on the other hand, focuses on the electronic transitions in molecules. When a molecule absorbs ultraviolet or visible light, electrons are excited from a lower energy orbital to a higher energy orbital. The resulting UV-Vis spectrum provides information about the electronic structure of the molecule, including the presence of conjugated systems, aromatic rings, and charge-transfer complexes. This technique is widely used in the study of transition metal complexes, organic dyes, and biomolecules like proteins and nucleic acids. + +Advanced spectroscopic techniques, such as Raman spectroscopy and X-ray crystallography, further extend the capabilities of spectroscopy in analyzing complex materials. Raman spectroscopy, based on inelastic scattering of light, provides complementary vibrational information to IR spectroscopy and is particularly useful for studying polarizable bonds. X-ray crystallography, meanwhile, offers atomic-level resolution of the three-dimensional structure of crystalline compounds, making it indispensable in fields such as materials science, biology, and pharmacology. + +Spectroscopy's versatility and precision make it an essential tool in modern chemistry, enabling the exploration of molecular properties, reaction mechanisms, and the development of new materials and drugs. diff --git a/evals/text_modeling/test_data/chemistry/medium.txt b/evals/text_modeling/test_data/chemistry/medium.txt new file mode 100644 index 00000000..793473f9 --- /dev/null +++ b/evals/text_modeling/test_data/chemistry/medium.txt @@ -0,0 +1,33 @@ +Chemical bonding is the process by which atoms combine to form molecules and compounds. The type of bond formed between atoms depends on the elements involved and their respective electron configurations. The three main types of chemical bonds are ionic bonds, covalent bonds, and metallic bonds. + +An ionic bond occurs when one atom donates an electron to another atom, resulting in the formation of positively and negatively charged ions. These oppositely charged ions are then attracted to each other, forming a stable ionic compound. A common example of an ionic bond is found in sodium chloride (table salt), where a sodium atom donates an electron to a chlorine atom, creating \( Na^+ \) and \( Cl^- \) ions that bond together to form \( NaCl \). + +Covalent bonds, on the other hand, involve the sharing of electrons between atoms. This type of bond usually occurs between non-metal atoms. In a covalent bond, the shared electrons allow each atom to attain the electron configuration of a noble gas, leading to a more stable molecule. For example, in a water molecule (\( H_2O \)), each hydrogen atom shares an electron with the oxygen atom, forming covalent bonds. + +Metallic bonding is a type of bonding found in metals, where electrons are not associated with any specific atom but are free to move throughout the metal lattice. This "sea of electrons" allows metals to conduct electricity and heat efficiently and provides them with their characteristic malleability and ductility. + +The strength and type of chemical bonding in a substance determine many of its physical and chemical properties, such as melting point, boiling point, electrical conductivity, and solubility. Understanding chemical bonding is fundamental to predicting how substances will behave and interact in different chemical environments. + +Thermodynamics is the branch of chemistry that deals with the study of energy and its transformations in chemical systems. It provides a framework for understanding how energy is transferred and how it influences the direction and extent of chemical reactions. The core concepts of thermodynamics are embodied in its four laws: the zeroth, first, second, and third laws. + +The First Law of Thermodynamics, also known as the law of energy conservation, states that energy cannot be created or destroyed in an isolated system; it can only be transferred or transformed from one form to another. Mathematically, this is expressed as: + +\[ +\Delta U = Q - W +\] + +where \( \Delta U \) is the change in the internal energy of the system, \( Q \) is the heat added to the system, and \( W \) is the work done by the system. + +The Second Law of Thermodynamics introduces the concept of entropy, a measure of the disorder or randomness in a system. The law states that in any spontaneous process, the total entropy of the system and its surroundings always increases. This principle explains why certain reactions occur naturally, such as the melting of ice at room temperature, while others do not. + +The Gibbs free energy (\( G \)) is a crucial thermodynamic function that combines enthalpy (\( H \)) and entropy (\( S \)) to predict the spontaneity of a reaction at constant temperature and pressure: + +\[ +\Delta G = \Delta H - T \Delta S +\] + +If \( \Delta G \) is negative, the reaction is spontaneous; if positive, the reaction is non-spontaneous. + +The Third Law of Thermodynamics states that as the temperature of a system approaches absolute zero, the entropy of a perfect crystal approaches a minimum value, typically zero. This law provides a reference point for the calculation of absolute entropies of substances. + +Thermodynamics is widely applied in chemistry, particularly in predicting reaction behavior, designing chemical processes, and understanding phase changes. It also plays a key role in fields like engineering, material science, and environmental science, where energy efficiency and resource management are critical. diff --git a/evals/text_modeling/test_data/sociology/easy.txt b/evals/text_modeling/test_data/sociology/easy.txt new file mode 100644 index 00000000..e095ea35 --- /dev/null +++ b/evals/text_modeling/test_data/sociology/easy.txt @@ -0,0 +1,23 @@ +Socialization is the process through which individuals learn the norms, values, behaviors, and social skills appropriate to their society. It is an essential part of human development because it helps people understand how to interact with others and function within their community. Socialization begins at a very young age and continues throughout a person’s life, shaping their identity and role within society. + +The family is often the first and most important agent of socialization. From the moment a child is born, family members teach them basic behaviors like how to eat, speak, and dress. As children grow, they learn more complex social skills, such as how to share with others and follow rules. + +Schools are another crucial agent of socialization. In school, children learn not only academic subjects like math and science but also social norms like punctuality, cooperation, and respect for authority. Schools also expose children to peer groups, where they learn to form relationships with others their age. + +Peers play a significant role in socialization, especially during adolescence. Through interactions with friends, young people learn about social roles, identity, and even cultural norms that may differ from those taught at home or school. + +The media is also a powerful agent of socialization. Television, movies, the internet, and social media all provide information about how people are expected to behave in society. For example, media can influence ideas about beauty, success, and gender roles. + +Socialization is a lifelong process, as people continue to learn and adapt to new roles and environments throughout their lives, such as starting a new job, getting married, or becoming a parent. Understanding socialization helps us see how individuals become functioning members of society and how society itself is maintained over time. + +Culture refers to the beliefs, behaviors, customs, and traditions that are shared by a group of people. It is what makes a group unique and gives them a sense of identity. Culture includes things like language, religion, food, music, art, and social norms—how people are expected to behave in certain situations. + +One of the key aspects of culture is that it is learned. People are not born knowing their culture; they learn it from their families, schools, and communities as they grow up. For example, children learn their native language by listening to their parents and others around them. They also learn about holidays, like Christmas or Diwali, and the customs associated with them. + +Culture can vary widely from one group to another. What is considered normal or polite in one culture might be very different in another. For instance, in some cultures, it is common to greet people with a handshake, while in others, a bow or a kiss on the cheek is more appropriate. Food is another example—certain dishes are popular in one country but might be unfamiliar or even unusual in another. + +Despite these differences, culture also helps bring people together. It gives people a sense of belonging and helps them understand how to interact with others in their society. People within the same culture often share the same values and beliefs, which can help create a strong community. + +Culture is also dynamic, meaning it can change over time. New ideas, technologies, and interactions with other cultures can influence how people think and behave. For example, the spread of the internet has connected people from different cultures in ways that were not possible before, leading to the sharing and blending of cultural practices. + +Understanding culture is important because it helps us appreciate the diversity of human societies and the different ways people live and think around the world. diff --git a/evals/text_modeling/test_data/sociology/hard.txt b/evals/text_modeling/test_data/sociology/hard.txt new file mode 100644 index 00000000..816ed742 --- /dev/null +++ b/evals/text_modeling/test_data/sociology/hard.txt @@ -0,0 +1,25 @@ +Social change refers to the transformation of cultural, economic, political, and social institutions and relationships over time. It is a fundamental aspect of human societies, driven by various factors including technological innovations, economic shifts, social movements, and cultural transformations. Theories of social change seek to explain how and why societies change and the consequences of these changes. + +One of the earliest and most influential theories of social change is Karl Marx’s theory of historical materialism. Marx argued that the economic base of a society, which includes the means of production and relations of production, determines its superstructure, encompassing culture, politics, and ideology. According to Marx, social change is primarily driven by class conflict arising from contradictions within the economic system. For example, the transition from feudalism to capitalism was marked by the rise of the bourgeoisie, who challenged the feudal lords, leading to a new economic and social order. Marx predicted that capitalism would eventually be overthrown by the proletariat, leading to a classless, communist society. + +Max Weber offered a different perspective on social change, emphasizing the role of ideas, beliefs, and values. In his work on the Protestant Ethic and the Spirit of Capitalism, Weber argued that the Protestant Reformation, particularly the Calvinist emphasis on hard work and frugality, played a crucial role in the development of capitalism in Western Europe. For Weber, social change could be driven by shifts in cultural values and religious beliefs, not just economic forces. + +Émile Durkheim, another key figure in sociology, focused on the role of social solidarity in social change. In his analysis of the transition from traditional to modern societies, Durkheim argued that the shift from mechanical solidarity, based on shared beliefs and values in simple societies, to organic solidarity, based on the interdependence of individuals in complex societies, was a key aspect of social change. He also explored the consequences of rapid social change, such as anomie, a state of normlessness that can lead to social instability. + +Contemporary theories of social change often integrate multiple factors, recognizing the complexity of modern societies. For example, world-systems theory, developed by Immanuel Wallerstein, examines the global economic system as a source of social change, emphasizing the unequal relationships between core, semi-peripheral, and peripheral nations. Similarly, theories of globalization explore how the increasing interconnectedness of the world impacts social, cultural, and economic change on a global scale. + +Understanding theories of social change is crucial for analyzing how societies evolve and the forces that shape these transformations, whether through conflict, innovation, or cultural diffusion. + +Symbolic interactionism is a sociological perspective that focuses on the subjective meanings and symbols that individuals attach to their interactions and the social world around them. It is rooted in the work of early 20th-century sociologists like George Herbert Mead and Charles Horton Cooley and emphasizes the importance of human agency and the social construction of reality. + +At the core of symbolic interactionism is the concept of the "self," which Mead described as emerging through social interaction. According to Mead, the self is not a static entity but is continuously shaped and reshaped through communication and interaction with others. This process involves the use of symbols, such as language, gestures, and objects, which convey meanings and enable individuals to interpret and respond to the social world. + +One of the key tenets of symbolic interactionism is that meaning is not inherent in objects or actions but is socially constructed through interaction. For example, a handshake can be seen as a symbol of greeting, agreement, or farewell, depending on the context and the shared understanding between the individuals involved. The meaning of the handshake is not fixed but is negotiated and interpreted within the interaction. + +Cooley's concept of the "looking-glass self" further illustrates the role of social interaction in the development of self-identity. According to Cooley, individuals form their self-concept based on how they perceive others see them. This process involves three steps: imagining how we appear to others, imagining their judgment of that appearance, and developing a feeling or response to that judgment. This reflective process highlights the importance of social feedback in shaping our self-perception and behavior. + +Symbolic interactionism also explores the role of "role-taking," where individuals assume the perspective of others to understand their actions and reactions. This ability to take the role of the "other" is crucial for effective communication and social interaction, as it allows individuals to anticipate how others might respond and adjust their behavior accordingly. + +Critics of symbolic interactionism argue that the perspective may overlook larger social structures and power dynamics that influence individual interactions. However, symbolic interactionists maintain that understanding the micro-level processes of meaning-making and interaction is essential for grasping the complexities of social life. + +In contemporary sociology, symbolic interactionism continues to be influential in areas such as identity formation, socialization, and the study of everyday life. It offers valuable insights into how individuals navigate their social worlds and construct meaning in their interactions with others. diff --git a/evals/text_modeling/test_data/sociology/medium.txt b/evals/text_modeling/test_data/sociology/medium.txt new file mode 100644 index 00000000..fb40f4bf --- /dev/null +++ b/evals/text_modeling/test_data/sociology/medium.txt @@ -0,0 +1,21 @@ +Social stratification refers to the hierarchical arrangement of individuals and groups in society based on various factors such as wealth, power, education, and occupation. It is a system that ranks people in a way that leads to unequal access to resources and opportunities, which in turn affects their life chances. + +One of the most prominent systems of social stratification is class. In a class system, individuals are grouped into different classes based on their economic position, typically categorized as upper, middle, and lower classes. The upper class consists of individuals with significant wealth and power, often inherited or accumulated through successful businesses. The middle class is usually composed of professionals, small business owners, and skilled workers who have a moderate level of income and education. The lower class includes individuals with lower-paying jobs, limited education, and fewer opportunities for upward mobility. + +Social stratification is not only about economic differences but also includes social status and power. For example, in some societies, certain occupations, like being a doctor or lawyer, carry high social status and are respected, regardless of the actual income they generate. Power, another key element of stratification, refers to the ability of individuals or groups to influence decisions and control resources, often through positions in government, corporations, or other institutions. + +Max Weber, a prominent sociologist, argued that social stratification is based on three key dimensions: class, status, and power. He believed that these dimensions intersect to shape an individual’s overall position in society. For example, a wealthy individual might have high status and power, but someone with significant educational achievements might also achieve high status, even if they do not have as much wealth. + +Social stratification can lead to significant inequalities in society, affecting access to education, healthcare, and job opportunities. It can also influence an individual’s social mobility, or the ability to move up or down the social hierarchy. Societies with rigid stratification systems, like caste systems, have limited social mobility, while more open systems allow for greater movement between classes. + +Understanding social stratification is essential for analyzing the dynamics of inequality and its impact on individuals and groups within society. + +Social institutions are structured systems of social order that govern the behavior and expectations of individuals within a society. They are established patterns of relationships and roles that fulfill essential functions and contribute to the stability and continuity of the social system. Key social institutions include the family, education, religion, economy, and government. + +The family is often considered the most fundamental social institution. It is responsible for the socialization of children, the regulation of sexual behavior, and the provision of emotional and economic support to its members. The family structure can vary widely across cultures, ranging from nuclear families, consisting of parents and their children, to extended families that include grandparents, aunts, uncles, and cousins. + +Education is another crucial social institution that transmits knowledge, skills, values, and norms to individuals. Schools and universities are formal institutions where individuals learn not only academic content but also social skills and cultural values. Education plays a key role in social mobility, as it can provide individuals with the qualifications needed to access better job opportunities and improve their social status. + +Religion is a social institution that involves shared beliefs and practices related to the sacred or the divine. It provides individuals with a sense of meaning and purpose, offers guidelines for moral behavior, and fosters social cohesion through shared rituals and ceremonies. Different religions have their own institutions, such as churches, mosques, temples, and synagogues, which play important roles in the lives of their followers. + +The economy is the social institution that organizes the production, distribution, and consumption of goods and services. It includes From d00207ff133de11721af071b975ee4437f40d0ce Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 13:55:25 +0700 Subject: [PATCH 017/209] testing --- trainers/base_trainer.py | 16 +++++++++++----- trainers/utils.py | 15 ++++++++++++++- 2 files changed, 25 insertions(+), 6 deletions(-) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 3329b120..b31c7bdc 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -159,10 +159,8 @@ def estimate_performance(self, eval_iters=None): evaluator_results[evaluator["evaluator"]] = relabeled_results text_modeling_results = train_eval_text_modeling(self.model) - print(text_modeling_results) - exit() self.model.train() - return eval_results, evaluator_results + return eval_results, evaluator_results, text_modeling_results @@ -274,14 +272,15 @@ def run_training_loop(self): if ( not iter_num % self.cfg.trainer.training.eval_interval ): # run on first iter to prevent bugs causing it to crash - eval_results, benchmark_results = self.estimate_performance() + eval_results, benchmark_results, text_modeling_results = self.estimate_performance() # print the evals as table # evals format is d1: type d2: train/val print_evaluation_results( iter_num=iter_num, eval_results=eval_results, - benchmark_results=benchmark_results + benchmark_results=benchmark_results, + text_modeling_results=text_modeling_results ) # Log to wandb @@ -289,6 +288,13 @@ def run_training_loop(self): log_dict = {"iter": iter_num, "lr": lr, "dropout": dropout} log_dict.update(eval_results) # Directly add evals to the log dictionary log_dict.update({k:v for k,v in benchmark_results.items()}) # Add benchmark results to the log dictionary + log_dict.update({f"text_modeling/{k}":v for k,v in text_modeling_results.items()}) + log_dict.update({ + f"text_modeling/{topic}-{difficulty}":text_modeling_results[topic][difficulty] + for topic in text_modeling_results.keys() + for difficulty in text_modeling_results[topic].keys() + }) + wandb.log(log_dict) diff --git a/trainers/utils.py b/trainers/utils.py index e9983802..140ee72f 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -290,7 +290,7 @@ def restore_print_override(original_print): # Function to print evaluation results and benchmark results -def print_evaluation_results(iter_num, eval_results, benchmark_results): +def print_evaluation_results(iter_num, eval_results, benchmark_results, text_modeling_results): headers = ['Metric', 'Value'] table = PrettyTable(headers) @@ -318,4 +318,17 @@ def print_evaluation_results(iter_num, eval_results, benchmark_results): print("Benchmark Results") print(benchmark_table) + text_modeling_table = PrettyTable(['Topic', 'Difficulty', 'Norm. Lev. Dist.']) + for topic in text_modeling_results.keys(): + for difficulty, value in text_modeling_results[topic].items(): + text_modeling_table.add_row([ + f"{topic}", + f"{difficulty}", + value + ]) + + print("Text Modeling Results") + print(text_modeling_table) + + From 8930c2aceeb59277ae731077c81c4f09a8f58db3 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 14:50:23 +0700 Subject: [PATCH 018/209] fix multi-gpu --- trainers/build_trainers.py | 14 ---------- trainers/datasets.py | 52 +++++++++++++++++++++++--------------- 2 files changed, 31 insertions(+), 35 deletions(-) diff --git a/trainers/build_trainers.py b/trainers/build_trainers.py index b32681f5..6a6930e4 100644 --- a/trainers/build_trainers.py +++ b/trainers/build_trainers.py @@ -172,32 +172,18 @@ def build_trainer(cfg, model, gpu_id): train_dataset = build_dataset(cfg=cfg, split="train") val_dataset = build_dataset(cfg=cfg, split="val") - # Determine if DistributedSampler is necessary - world_size = torch.cuda.device_count() - if world_size > 1: - train_sampler = torch.utils.data.distributed.DistributedSampler( - train_dataset, num_replicas=world_size, rank=gpu_id, shuffle=False - ) - val_sampler = torch.utils.data.distributed.DistributedSampler( - val_dataset, num_replicas=world_size, rank=gpu_id, shuffle=False - ) - else: - train_sampler = None - val_sampler = None # wrap in dataloaders train_dataloader = torch.utils.data.DataLoader( dataset=train_dataset, batch_size=cfg["trainer"]["training"]["batch_size"], shuffle=False, - sampler=train_sampler, ) val_dataloader = torch.utils.data.DataLoader( dataset=val_dataset, batch_size=cfg["trainer"]["training"]["batch_size"], shuffle=False, - sampler=val_sampler, ) # build loss function diff --git a/trainers/datasets.py b/trainers/datasets.py index 905d59d0..ab24728a 100644 --- a/trainers/datasets.py +++ b/trainers/datasets.py @@ -14,7 +14,7 @@ -class DatasetInterface(torch.utils.data.Dataset): +class DatasetInterface(torch.utils.data.IterableDataset): """ A basic interface to be used by the remaining datasets """ @@ -56,9 +56,10 @@ def __len__(self): """ return self.dataset_len - def __getitem__(self, idx): + def __iter__(self, idx): raise NotImplementedError + class BaseDatasetRandom(DatasetInterface): """ Simple base dataloader for standard gpt-2'esk architectures and training. @@ -67,15 +68,20 @@ def __init__(self, split, cfg): super().__init__(split, cfg) - def __getitem__(self, idx): + def __iter__(self): """ - Get a batch of data + Get a batch of random data points in an infinite loop. """ - # get a random data sample - idx = random.randint(0, self.dataset_len - 1) - x = torch.from_numpy((self.data[idx: idx + self.context_window]).astype(np.int64)) - y = torch.from_numpy((self.data[idx + 1: idx + 1 + self.context_window]).astype(np.int64)) - return x, y + while True: + # Get a random index + idx = random.randint(0, self.dataset_len - 1) + + # Extract a slice of data for x and y + x = torch.from_numpy((self.data[idx: idx + self.context_window]).astype(np.int64)) + y = torch.from_numpy((self.data[idx + 1: idx + 1 + self.context_window]).astype(np.int64)) + + # Yield the data points + yield x, y class BytePoolingDataset(DatasetInterface): @@ -107,13 +113,15 @@ def _load_data(self): shape=self.loading_shape, ) - def __getitem__(self, idx): + def __iter__(self): """ Get a batch of data """ - x = torch.from_numpy((self.data[idx: idx + self.context_window]).astype(np.int64)) - y = torch.from_numpy((self.data[idx + 1: idx + 1 + self.context_window]).astype(np.int64)) - return x, y + while True: + idx = random.randint(0, self.dataset_len - 1) + x = torch.from_numpy((self.data[idx: idx + self.context_window]).astype(np.int64)) + y = torch.from_numpy((self.data[idx + 1: idx + 1 + self.context_window]).astype(np.int64)) + yield x, y class DualBytePooling(DatasetInterface): @@ -159,16 +167,18 @@ def _load_data(self): mode="r", ) - def __getitem__(self, idx): + def __iter__(self): """ Get a batch of data from both the byte and higher token level """ - # get byte level batch - x_byte = torch.from_numpy((self.data_byte[idx: idx + self.context_window]).astype(np.int64)) - #y_byte = torch.from_numpy((self.data_byte[idx + 1: idx + 1 + self.context_window]).astype(np.int64)) + while True: + idx = random.randint(0, self.dataset_len - 1) + # get byte level batch + x_byte = torch.from_numpy((self.data_byte[idx: idx + self.context_window]).astype(np.int64)) + #y_byte = torch.from_numpy((self.data_byte[idx + 1: idx + 1 + self.context_window]).astype(np.int64)) - # get token level batch - #x_token = torch.from_numpy((self.data_token[idx: idx + self.context_window]).astype(np.int64)) - y_token = torch.from_numpy((self.data[idx + 1: idx + 1 + self.context_window]).astype(np.int64)) - return x_byte, y_token + # get token level batch + #x_token = torch.from_numpy((self.data_token[idx: idx + self.context_window]).astype(np.int64)) + y_token = torch.from_numpy((self.data[idx + 1: idx + 1 + self.context_window]).astype(np.int64)) + yield x_byte, y_token From a047cd12dde935d463af7016d3b2c106602495f1 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 17:19:23 +0700 Subject: [PATCH 019/209] fix multi-gpu --- models/components/tokenizers/ck100k.py | 41 ++++++++++++++++++++++++++ models/components/tokenizers/setup.py | 2 ++ requirements.txt | 3 +- 3 files changed, 45 insertions(+), 1 deletion(-) create mode 100644 models/components/tokenizers/ck100k.py diff --git a/models/components/tokenizers/ck100k.py b/models/components/tokenizers/ck100k.py new file mode 100644 index 00000000..e09cf85d --- /dev/null +++ b/models/components/tokenizers/ck100k.py @@ -0,0 +1,41 @@ +""" +A simple wrapper around the GPT2 Tokenizer to +standardize the interface for tokenization. +""" + +import tiktoken +import torch + +from models.components.tokenizers.base_class import Tokenizer + + +class CL100KTokenizer(Tokenizer): + """A simple wrapper around the cl100k Tokenizer.""" + + def __init__(self, **_): + super().__init__() + self.tokenizer = tiktoken.get_encoding("cl100k") + self.eot_token = self.tokenizer.eot_token + self.pad_token = self.tokenizer.eot_token + self.vocab_size = self.tokenizer.max_token_value + 1 + + def encode(self, text): + """Encode a string into tokens.""" + return self.tokenizer.encode_ordinary(text) + + def encode_batch(self, texts): + """Encode a list of strings into tokens.""" + return self.tokenizer.encode_ordinary_batch(texts) + + def decode(self, tokens): + """Decode a list of tokens into a string.""" + # check if the tokens are a tensor + if torch.is_tensor(tokens): + tokens = tokens.tolist() + return self.tokenizer.decode(tokens) + + def decode_batch(self, token_lists): + """Decode a list of token lists into a list of strings.""" + if torch.is_tensor(token_lists): + token_lists = token_lists.tolist() + return self.tokenizer.decode_batch(token_lists) diff --git a/models/components/tokenizers/setup.py b/models/components/tokenizers/setup.py index 72e4cbe0..ee9d2de1 100644 --- a/models/components/tokenizers/setup.py +++ b/models/components/tokenizers/setup.py @@ -5,12 +5,14 @@ from models.components.tokenizers.base_class import Tokenizer from models.components.tokenizers.bpe import BPETokenizer from models.components.tokenizers.gpt2 import GPT2Tokenizer +from models.components.tokenizers.ck100k import CL100KTokenizer TOKENIZER_DICT = { "gpt2": lambda vocab_size, dataset_name: GPT2Tokenizer(), "bpe": lambda vocab_size, dataset_name: BPETokenizer( vocab_size=vocab_size, dataset_name=dataset_name ), + "cl100k": lambda vocab_size, dataset_name: CL100KTokenizer(), } diff --git a/requirements.txt b/requirements.txt index df8e9571..994202d1 100644 --- a/requirements.txt +++ b/requirements.txt @@ -4,4 +4,5 @@ datasets wandb mteb pre-commit -prettytable \ No newline at end of file +prettytable +levenshtein \ No newline at end of file From 9bdd63272b2b4ee40297adc68b5b0dbd58ce2bab Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 17:25:01 +0700 Subject: [PATCH 020/209] fix multi-gpu --- models/components/tokenizers/ck100k.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/components/tokenizers/ck100k.py b/models/components/tokenizers/ck100k.py index e09cf85d..46a1e877 100644 --- a/models/components/tokenizers/ck100k.py +++ b/models/components/tokenizers/ck100k.py @@ -14,7 +14,7 @@ class CL100KTokenizer(Tokenizer): def __init__(self, **_): super().__init__() - self.tokenizer = tiktoken.get_encoding("cl100k") + self.tokenizer = tiktoken.get_encoding("cl100k_base") self.eot_token = self.tokenizer.eot_token self.pad_token = self.tokenizer.eot_token self.vocab_size = self.tokenizer.max_token_value + 1 From cffe7c39349fe82f070a0a0981348e3803134b29 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 19:03:02 +0700 Subject: [PATCH 021/209] fix multi-gpu --- configs/full_configs/baseline.yaml | 1 + evals/text_modeling/text_modeling_evaluator.py | 16 ++++++---------- train.py | 3 +++ trainers/base_trainer.py | 2 +- trainers/evaluator.py | 4 ++-- 5 files changed, 13 insertions(+), 13 deletions(-) diff --git a/configs/full_configs/baseline.yaml b/configs/full_configs/baseline.yaml index 85b5e908..4932ba94 100644 --- a/configs/full_configs/baseline.yaml +++ b/configs/full_configs/baseline.yaml @@ -81,5 +81,6 @@ general: output_dir: outputs data_dir: data checkpoint_dir: checkpoints + eval_dir: eval seed: 489 device: cuda diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index 47f20042..2b6f47bb 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -2,7 +2,6 @@ Evaluator class for evaluating models. """ import os -import hydra import torch import torch.nn.functional as F from Levenshtein import distance as levenshtein_distance @@ -14,18 +13,17 @@ class TextModelingEvaluator(EvaluationInterface): Evaluator class that evaluates models on their language modeling capabilities in a way that is agnostic to the tokenizer used, using byte-level accuracy. """ - def __init__(self, model): + def __init__(self, model, eval_dir): self.model = model # Ensure the model is in evaluation mode self.model.eval() self.modeling_topics = os.listdir( - hydra.utils.to_absolute_path( - os.path.join("evals", "text_modeling", "test_data") - ) + os.path.join(eval_dir, "text_modeling", "test_data") ) self.modeling_difficulties = ["easy", "medium", "hard"] + self.eval_dir = eval_dir # Load the text data self._load_data() @@ -38,11 +36,9 @@ def _load_data(self): for topic in self.modeling_topics: self.data[topic] = {} for difficulty in self.modeling_difficulties: - file_path = hydra.utils.to_absolute_path( - os.path.join( - "evals", "text_modeling", "test_data", topic, f"{difficulty}.txt" - ) - ) + file_path = os.path.join( + self.eval_dir, "text_modeling", "test_data", topic, f"{difficulty}.txt" + ) with open(file_path, "r") as f: self.data[topic][difficulty] = f.read() diff --git a/train.py b/train.py index 6e474567..2a6b072c 100644 --- a/train.py +++ b/train.py @@ -78,6 +78,9 @@ def main(cfg): cfg["general"]["paths"]["data_dir"] = hydra.utils.to_absolute_path( cfg["general"]["paths"]["data_dir"] ) # must be done before multiprocessing or else the path is wrong? + cfg["general"]["paths"]["eval_dir"] = hydra.utils.to_absolute_path( + cfg["general"]["paths"]["eval_dir"] + ) create_folder_structure(path_config=cfg["general"]["paths"]) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index b31c7bdc..31ab71da 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -158,7 +158,7 @@ def estimate_performance(self, eval_iters=None): relabeled_results[f"{evaluator['evaluator']}/{metric}"] = evaluator_results[evaluator["evaluator"]][metric] evaluator_results[evaluator["evaluator"]] = relabeled_results - text_modeling_results = train_eval_text_modeling(self.model) + text_modeling_results = train_eval_text_modeling(self.model, eval_dir=self.cfg["general"]["paths"]["eval_dir"]) self.model.train() return eval_results, evaluator_results, text_modeling_results diff --git a/trainers/evaluator.py b/trainers/evaluator.py index 88a72d32..452c46e3 100644 --- a/trainers/evaluator.py +++ b/trainers/evaluator.py @@ -13,8 +13,8 @@ def train_eval(eval_cfg, model): return results -def train_eval_text_modeling(model): +def train_eval_text_modeling(model, eval_dir): """ Test the model """ - evaluator = load_evaluator("text_modeling", model) + evaluator = load_evaluator("text_modeling", model, eval_dir=eval_dir) results = evaluator.evaluate() return results \ No newline at end of file From f258849aae3c202d7344d018a9493b11763a361a Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 14 Aug 2024 19:14:09 +0700 Subject: [PATCH 022/209] added alternative tokenizers --- configs/full_configs/baseline.yaml | 2 +- models/components/tokenizers/p50k.py | 41 +++++++++++++++++++++++++++ models/components/tokenizers/setup.py | 2 ++ 3 files changed, 44 insertions(+), 1 deletion(-) create mode 100644 models/components/tokenizers/p50k.py diff --git a/configs/full_configs/baseline.yaml b/configs/full_configs/baseline.yaml index 4932ba94..6f3aa934 100644 --- a/configs/full_configs/baseline.yaml +++ b/configs/full_configs/baseline.yaml @@ -15,7 +15,7 @@ model: bias: false is_causal: true embedder: - tokenizer_type: gpt2 + tokenizer_type: p50k embedding_model_type: generic dataset_name: stlm lm_head: diff --git a/models/components/tokenizers/p50k.py b/models/components/tokenizers/p50k.py new file mode 100644 index 00000000..2a66fc4b --- /dev/null +++ b/models/components/tokenizers/p50k.py @@ -0,0 +1,41 @@ +""" +A simple wrapper around the GPT2 Tokenizer to +standardize the interface for tokenization. +""" + +import tiktoken +import torch + +from models.components.tokenizers.base_class import Tokenizer + + +class P50KTokenizer(Tokenizer): + """A simple wrapper around the GPT2 Tokenizer.""" + + def __init__(self, **_): + super().__init__() + self.tokenizer = tiktoken.get_encoding("p50k_base") + self.eot_token = self.tokenizer.eot_token + self.pad_token = self.tokenizer.eot_token + self.vocab_size = self.tokenizer.max_token_value + 1 + + def encode(self, text): + """Encode a string into tokens.""" + return self.tokenizer.encode_ordinary(text) + + def encode_batch(self, texts): + """Encode a list of strings into tokens.""" + return self.tokenizer.encode_ordinary_batch(texts) + + def decode(self, tokens): + """Decode a list of tokens into a string.""" + # check if the tokens are a tensor + if torch.is_tensor(tokens): + tokens = tokens.tolist() + return self.tokenizer.decode(tokens) + + def decode_batch(self, token_lists): + """Decode a list of token lists into a list of strings.""" + if torch.is_tensor(token_lists): + token_lists = token_lists.tolist() + return self.tokenizer.decode_batch(token_lists) diff --git a/models/components/tokenizers/setup.py b/models/components/tokenizers/setup.py index ee9d2de1..1c416325 100644 --- a/models/components/tokenizers/setup.py +++ b/models/components/tokenizers/setup.py @@ -6,6 +6,7 @@ from models.components.tokenizers.bpe import BPETokenizer from models.components.tokenizers.gpt2 import GPT2Tokenizer from models.components.tokenizers.ck100k import CL100KTokenizer +from models.components.tokenizers.p50k import P50KTokenizer TOKENIZER_DICT = { "gpt2": lambda vocab_size, dataset_name: GPT2Tokenizer(), @@ -13,6 +14,7 @@ vocab_size=vocab_size, dataset_name=dataset_name ), "cl100k": lambda vocab_size, dataset_name: CL100KTokenizer(), + "p50k": lambda vocab_size, dataset_name: P50KTokenizer(), } From 752a42bb4c411443cad63332baa622f9900c0200 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 16 Aug 2024 20:16:55 +0700 Subject: [PATCH 023/209] added byte level accuracy and byte-level perplexity --- configs/full_configs/baseline.yaml | 4 +-- .../text_modeling/text_modeling_evaluator.py | 26 ++++++++++++++++--- trainers/utils.py | 2 +- 3 files changed, 26 insertions(+), 6 deletions(-) diff --git a/configs/full_configs/baseline.yaml b/configs/full_configs/baseline.yaml index 6f3aa934..e77714d2 100644 --- a/configs/full_configs/baseline.yaml +++ b/configs/full_configs/baseline.yaml @@ -24,7 +24,7 @@ model: lm_head_type: generic hidden_dim: 512 context_window: 512 - vocab_size: 50257 + vocab_size: 50281 model_shell_type: standard embedding_weight_tying: true positional_encoding_type: rope @@ -81,6 +81,6 @@ general: output_dir: outputs data_dir: data checkpoint_dir: checkpoints - eval_dir: eval + eval_dir: evals seed: 489 device: cuda diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index 2b6f47bb..4b32f526 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -87,6 +87,10 @@ def evaluate(self): # TODO the chunks should be stacked and run simulataneously total_edit_distance = 0 count = 0 + byte_correct = 0 + byte_count = 0 + + byte_perplexity_total = 0 for chunk in chunks: input_ids, predicted_ids = self._process_chunk(chunk) @@ -102,11 +106,27 @@ def evaluate(self): # increment count by num bytes count += len(input_text_enc) - # Average edit distance over all chunks - avg_edit_distance = total_edit_distance / count + # calculate byte accuracy + for byte_idx in range(len(input_text_enc)): + if byte_idx < len(predicted_text[0].encode("utf-8")): + if input_text_enc[byte_idx] == predicted_text[0].encode("utf-8")[byte_idx]: + byte_correct += 1 + byte_count += 1 + + # calculate byte perplexity + byte_perplexity_total += torch.exp( + F.cross_entropy( + predicted_id.unsqueeze(0), + input_id.unsqueeze(0) + ) + )*len(input_text_enc) + if topic not in results: results[topic] = {} - results[topic][difficulty] = avg_edit_distance + + results[topic][difficulty]['Norm. Lev. Dist.'] = total_edit_distance / count + results[topic][difficulty]["Byte Acc."] = byte_correct / byte_count + results[topic][difficulty]["Byte Perplexity"] = byte_perplexity_total / count return results \ No newline at end of file diff --git a/trainers/utils.py b/trainers/utils.py index 140ee72f..ce1f6524 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -126,7 +126,7 @@ def load_competition_math_dataset(): "tinystories": lambda: load_dataset("roneneldan/TinyStories"), # https://huggingface.co/datasets/roneneldan/TinyStories "stlm": create_stlm_data_mix, "openhermes-2.5": lambda: load_dataset("teknium/OpenHermes-2.5"), - "openwebtext": lambda: load_dataset("Skylion007/openwebtext"), + "openwebtext": lambda: load_dataset("Skylion007/openwebtext", trust_remote_code=True), "github-code": lambda: load_github_code_dataset(), "competition_math": lambda: load_competition_math_dataset(), } From 5816705fcf5243504d495cca570afd2adcf36b95 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 16 Aug 2024 20:19:34 +0700 Subject: [PATCH 024/209] added byte level accuracy and byte-level perplexity --- trainers/base_trainer.py | 3 ++- trainers/utils.py | 6 ++++-- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 31ab71da..cd4b9066 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -290,9 +290,10 @@ def run_training_loop(self): log_dict.update({k:v for k,v in benchmark_results.items()}) # Add benchmark results to the log dictionary log_dict.update({f"text_modeling/{k}":v for k,v in text_modeling_results.items()}) log_dict.update({ - f"text_modeling/{topic}-{difficulty}":text_modeling_results[topic][difficulty] + f"text_modeling/{topic}-{difficulty}-{eval_metric}":text_modeling_results[topic][difficulty][eval_metric] for topic in text_modeling_results.keys() for difficulty in text_modeling_results[topic].keys() + for eval_metric in text_modeling_results[topic][difficulty].keys() }) diff --git a/trainers/utils.py b/trainers/utils.py index ce1f6524..5343a6d4 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -318,13 +318,15 @@ def print_evaluation_results(iter_num, eval_results, benchmark_results, text_mod print("Benchmark Results") print(benchmark_table) - text_modeling_table = PrettyTable(['Topic', 'Difficulty', 'Norm. Lev. Dist.']) + text_modeling_table = PrettyTable(['Topic', 'Difficulty', 'Norm. Lev. Dist.', 'Byte Acc.', 'Byte Perplexity']) for topic in text_modeling_results.keys(): for difficulty, value in text_modeling_results[topic].items(): text_modeling_table.add_row([ f"{topic}", f"{difficulty}", - value + value['Norm. Lev. Dist.'], + value['Byte Acc.'], + value['Byte Perplexity'] ]) print("Text Modeling Results") From daa5b73175bc04f8162a11e262e170f3a8d9bbff Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 16 Aug 2024 20:20:27 +0700 Subject: [PATCH 025/209] added byte level accuracy and byte-level perplexity --- configs/full_configs/baseline.yaml | 4 ++-- trainers/prepare.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/configs/full_configs/baseline.yaml b/configs/full_configs/baseline.yaml index e77714d2..28e4eb14 100644 --- a/configs/full_configs/baseline.yaml +++ b/configs/full_configs/baseline.yaml @@ -15,7 +15,7 @@ model: bias: false is_causal: true embedder: - tokenizer_type: p50k + tokenizer_type: gpt2 embedding_model_type: generic dataset_name: stlm lm_head: @@ -24,7 +24,7 @@ model: lm_head_type: generic hidden_dim: 512 context_window: 512 - vocab_size: 50281 + vocab_size: 50257 model_shell_type: standard embedding_weight_tying: true positional_encoding_type: rope diff --git a/trainers/prepare.py b/trainers/prepare.py index 9f1df57a..213ad314 100644 --- a/trainers/prepare.py +++ b/trainers/prepare.py @@ -190,7 +190,7 @@ def prepare_data(cfg): # Get the maximum number of processors max_procs = os.cpu_count() # cap at 12 to reduce memory usage - max_procs = 1 #min(max_procs, 12) # TODO properly fix this + max_procs = min(max_procs, 12) # TODO properly fix this print(f"Using {max_procs} processors") # tokenize the dataset From 112b2073c9315d64c529bf3e9f07a74e7b94d99f Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 16 Aug 2024 20:23:11 +0700 Subject: [PATCH 026/209] added byte level accuracy and byte-level perplexity --- evals/text_modeling/text_modeling_evaluator.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index 4b32f526..f80a6f12 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -70,7 +70,7 @@ def _process_chunk(self, chunk): # Get the predicted tokens (the ones with the highest logit) predicted_token_ids = torch.argmax(shift_logits, dim=-1) - return shift_labels, predicted_token_ids + return shift_labels, predicted_token_ids, predicted_token_logits def evaluate(self): @@ -93,7 +93,7 @@ def evaluate(self): byte_perplexity_total = 0 for chunk in chunks: - input_ids, predicted_ids = self._process_chunk(chunk) + input_ids, predicted_ids, predicted_token_logits = self._process_chunk(chunk) for input_id, predicted_id in zip(input_ids[0], predicted_ids[0]): input_text = self.model.embedding_model.decode([[input_id.item()]])# , skip_special_tokens=True) @@ -116,7 +116,7 @@ def evaluate(self): # calculate byte perplexity byte_perplexity_total += torch.exp( F.cross_entropy( - predicted_id.unsqueeze(0), + predicted_token_logits.unsqueeze(0), input_id.unsqueeze(0) ) )*len(input_text_enc) @@ -124,7 +124,7 @@ def evaluate(self): if topic not in results: results[topic] = {} - + results[topic][difficulty]['Norm. Lev. Dist.'] = total_edit_distance / count results[topic][difficulty]["Byte Acc."] = byte_correct / byte_count results[topic][difficulty]["Byte Perplexity"] = byte_perplexity_total / count From 4b762172fdf49b5a6311d8c30c0a0f01d5b6a41d Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 16 Aug 2024 20:25:20 +0700 Subject: [PATCH 027/209] added byte level accuracy and byte-level perplexity --- evals/text_modeling/text_modeling_evaluator.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index f80a6f12..c37d1417 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -70,7 +70,7 @@ def _process_chunk(self, chunk): # Get the predicted tokens (the ones with the highest logit) predicted_token_ids = torch.argmax(shift_logits, dim=-1) - return shift_labels, predicted_token_ids, predicted_token_logits + return shift_labels, predicted_token_ids, shift_logits def evaluate(self): From 177bda4e7128ca1d62509fbb6d64bab8dd79e003 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 16 Aug 2024 20:27:59 +0700 Subject: [PATCH 028/209] added byte level accuracy and byte-level perplexity --- configs/full_configs/baseline_llama_30k.yaml | 86 +++++++++++++++++++ .../text_modeling/text_modeling_evaluator.py | 2 + models/components/tokenizers/llama_30k.py | 41 +++++++++ models/components/tokenizers/setup.py | 2 + 4 files changed, 131 insertions(+) create mode 100644 configs/full_configs/baseline_llama_30k.yaml create mode 100644 models/components/tokenizers/llama_30k.py diff --git a/configs/full_configs/baseline_llama_30k.yaml b/configs/full_configs/baseline_llama_30k.yaml new file mode 100644 index 00000000..973c7cce --- /dev/null +++ b/configs/full_configs/baseline_llama_30k.yaml @@ -0,0 +1,86 @@ +model: + core_model: + core_model_type: generic + num_layers: 8 + ffn: + ffn_type: swiglu + ffn_dim: 1320 + normalization: rms_norm + bias: false + attn: + attn_type: generic + num_heads: 16 + normalization: rms_norm + group_size: 4 + bias: false + is_causal: true + embedder: + tokenizer_type: llama_30k + embedding_model_type: generic + dataset_name: stlm + lm_head: + normalization: rms_norm + bias: false + lm_head_type: generic + hidden_dim: 512 + context_window: 512 + vocab_size: 32000 + model_shell_type: standard + embedding_weight_tying: true + positional_encoding_type: rope +trainer: + dropout_scheduler: + dropout_type: constant + dropout: 0.1 + dataset: openwebtext + training: + trainer_type: base_trainer + batch_size: 24 + gradient_accumulation_steps: 20 + max_iters: 30000 + lr_decay_iters: 30000 + warmup_iters: 5000 + eval_interval: 2000 + log_interval: 10 + eval_iters: 500 + checkpoint_interval: 1000000000.0 + run_profiler: false + eval: + - benchmarks: + - "winograd" + - "hellaswag" + - "arc" + - "mmlu" + - "blimp" + num_samples: 1000 + evaluator: "mcq" + - evaluator: "prog" + optimizer: + name: nanoGPTadamW + lr: 0.0006 + min_lr: 6.0e-05 + weight_decay: 0.1 + beta1: 0.9 + beta2: 0.95 + grad_clip: 1.0 + decay_lr: true + warmup_iters: 5000 + lr_scheduler: + name: cosine + dataloader: + name: standard + datasampling: + name: standard + loss_fn: + name: cross_entropy +general: + logging: + wandb_log: false + wandb_project: SuperTinyLanguageModels + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index c37d1417..b6d68734 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -114,6 +114,8 @@ def evaluate(self): byte_count += 1 # calculate byte perplexity + print(predicted_token_logits.size()) + print(input_id.size()) byte_perplexity_total += torch.exp( F.cross_entropy( predicted_token_logits.unsqueeze(0), diff --git a/models/components/tokenizers/llama_30k.py b/models/components/tokenizers/llama_30k.py new file mode 100644 index 00000000..0ee3abf6 --- /dev/null +++ b/models/components/tokenizers/llama_30k.py @@ -0,0 +1,41 @@ +""" +A simple wrapper around the LLaMA Tokenizer to +standardize the interface for tokenization. +""" + +import sentencepiece as spm +import torch + +from models.components.tokenizers.base_class import Tokenizer + + +class LLaMATokenizer(Tokenizer): + """A simple wrapper around the LLaMA Tokenizer.""" + + def __init__(self, model_path, **_): + super().__init__() + self.tokenizer = spm.SentencePieceProcessor(model_file=model_path) + self.eot_token = self.tokenizer.eos_id() + self.pad_token = self.tokenizer.pad_id() + self.vocab_size = self.tokenizer.get_piece_size() + + def encode(self, text): + """Encode a string into tokens.""" + return self.tokenizer.encode(text, out_type=int) + + def encode_batch(self, texts): + """Encode a list of strings into tokens.""" + return [self.encode(text) for text in texts] + + def decode(self, tokens): + """Decode a list of tokens into a string.""" + # check if the tokens are a tensor + if torch.is_tensor(tokens): + tokens = tokens.tolist() + return self.tokenizer.decode(tokens) + + def decode_batch(self, token_lists): + """Decode a list of token lists into a list of strings.""" + if torch.is_tensor(token_lists): + token_lists = token_lists.tolist() + return [self.decode(tokens) for tokens in token_lists] diff --git a/models/components/tokenizers/setup.py b/models/components/tokenizers/setup.py index 1c416325..9e972097 100644 --- a/models/components/tokenizers/setup.py +++ b/models/components/tokenizers/setup.py @@ -7,6 +7,7 @@ from models.components.tokenizers.gpt2 import GPT2Tokenizer from models.components.tokenizers.ck100k import CL100KTokenizer from models.components.tokenizers.p50k import P50KTokenizer +from models.components.tokenizers.llama_30k import LLaMATokenizer TOKENIZER_DICT = { "gpt2": lambda vocab_size, dataset_name: GPT2Tokenizer(), @@ -15,6 +16,7 @@ ), "cl100k": lambda vocab_size, dataset_name: CL100KTokenizer(), "p50k": lambda vocab_size, dataset_name: P50KTokenizer(), + "llama_30k": lambda vocab_size, dataset_name: LLaMATokenizer(), } From e0ebf80a98a4abb5c0708d02b5d116ab9ae01b63 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 16 Aug 2024 20:31:00 +0700 Subject: [PATCH 029/209] added byte level accuracy and byte-level perplexity --- evals/text_modeling/text_modeling_evaluator.py | 6 +++--- requirements.txt | 3 ++- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index b6d68734..1e985603 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -95,7 +95,7 @@ def evaluate(self): for chunk in chunks: input_ids, predicted_ids, predicted_token_logits = self._process_chunk(chunk) - for input_id, predicted_id in zip(input_ids[0], predicted_ids[0]): + for input_id, predicted_id, pred_logits in zip(input_ids[0], predicted_ids[0], predicted_token_logits[0]): input_text = self.model.embedding_model.decode([[input_id.item()]])# , skip_special_tokens=True) predicted_text = self.model.embedding_model.decode([[predicted_id.item()]]) #, skip_special_tokens=True) input_text_enc = input_text[0].encode("utf-8") @@ -114,11 +114,11 @@ def evaluate(self): byte_count += 1 # calculate byte perplexity - print(predicted_token_logits.size()) + print(pred_logits.size()) print(input_id.size()) byte_perplexity_total += torch.exp( F.cross_entropy( - predicted_token_logits.unsqueeze(0), + pred_logits.unsqueeze(0), input_id.unsqueeze(0) ) )*len(input_text_enc) diff --git a/requirements.txt b/requirements.txt index 994202d1..867e73e2 100644 --- a/requirements.txt +++ b/requirements.txt @@ -5,4 +5,5 @@ wandb mteb pre-commit prettytable -levenshtein \ No newline at end of file +levenshtein +sentencepiece \ No newline at end of file From 97bc5827fd22149d2baeac39de126b7491bbc1a3 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 16 Aug 2024 20:33:00 +0700 Subject: [PATCH 030/209] added byte level accuracy and byte-level perplexity --- evals/text_modeling/text_modeling_evaluator.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index 1e985603..a040b324 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -125,7 +125,11 @@ def evaluate(self): if topic not in results: - results[topic] = {} + results[topic] = { + "easy": {}, + "medium": {}, + "hard": {} + } results[topic][difficulty]['Norm. Lev. Dist.'] = total_edit_distance / count results[topic][difficulty]["Byte Acc."] = byte_correct / byte_count From c25bd5fc9aa228c9e7ede8aaeda94be86c7af0f3 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 16 Aug 2024 20:35:12 +0700 Subject: [PATCH 031/209] added byte level accuracy and byte-level perplexity --- evals/text_modeling/text_modeling_evaluator.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index a040b324..37c2c8e4 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -114,14 +114,12 @@ def evaluate(self): byte_count += 1 # calculate byte perplexity - print(pred_logits.size()) - print(input_id.size()) byte_perplexity_total += torch.exp( F.cross_entropy( pred_logits.unsqueeze(0), input_id.unsqueeze(0) ) - )*len(input_text_enc) + ).item()*len(input_text_enc) if topic not in results: From de78424c57c4b1cd4d28aef3c7b211caa430852d Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 16 Aug 2024 20:38:17 +0700 Subject: [PATCH 032/209] added byte level accuracy and byte-level perplexity --- models/components/tokenizers/llama_30k.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/models/components/tokenizers/llama_30k.py b/models/components/tokenizers/llama_30k.py index 0ee3abf6..9aebb6d0 100644 --- a/models/components/tokenizers/llama_30k.py +++ b/models/components/tokenizers/llama_30k.py @@ -5,15 +5,17 @@ import sentencepiece as spm import torch - +from huggingface_hub import hf_hub_download from models.components.tokenizers.base_class import Tokenizer - class LLaMATokenizer(Tokenizer): """A simple wrapper around the LLaMA Tokenizer.""" - def __init__(self, model_path, **_): + def __init__(self, **_): super().__init__() + # Hardcoded model path from Hugging Face + model_name_or_path = "decapoda-research/llama-7b-hf" + model_path = hf_hub_download(repo_id=model_name_or_path, filename="tokenizer.model") self.tokenizer = spm.SentencePieceProcessor(model_file=model_path) self.eot_token = self.tokenizer.eos_id() self.pad_token = self.tokenizer.pad_id() From 4e8e461b44a675e766009f014928ef87a7cc069a Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 16 Aug 2024 20:41:39 +0700 Subject: [PATCH 033/209] added byte level accuracy and byte-level perplexity --- models/components/tokenizers/llama_30k.py | 23 +++++++++-------------- 1 file changed, 9 insertions(+), 14 deletions(-) diff --git a/models/components/tokenizers/llama_30k.py b/models/components/tokenizers/llama_30k.py index 9aebb6d0..c26c68b6 100644 --- a/models/components/tokenizers/llama_30k.py +++ b/models/components/tokenizers/llama_30k.py @@ -3,27 +3,23 @@ standardize the interface for tokenization. """ -import sentencepiece as spm -import torch -from huggingface_hub import hf_hub_download -from models.components.tokenizers.base_class import Tokenizer + +from transformers import AutoTokenizer class LLaMATokenizer(Tokenizer): - """A simple wrapper around the LLaMA Tokenizer.""" + """A simple wrapper around a LLaMA-based Tokenizer.""" def __init__(self, **_): super().__init__() - # Hardcoded model path from Hugging Face - model_name_or_path = "decapoda-research/llama-7b-hf" - model_path = hf_hub_download(repo_id=model_name_or_path, filename="tokenizer.model") - self.tokenizer = spm.SentencePieceProcessor(model_file=model_path) - self.eot_token = self.tokenizer.eos_id() - self.pad_token = self.tokenizer.pad_id() - self.vocab_size = self.tokenizer.get_piece_size() + model_name_or_path = "chavinlo/alpaca-native" + self.tokenizer = AutoTokenizer.from_pretrained(model_name_or_path) + self.eot_token = self.tokenizer.eos_token_id + self.pad_token = self.tokenizer.pad_token_id + self.vocab_size = self.tokenizer.vocab_size def encode(self, text): """Encode a string into tokens.""" - return self.tokenizer.encode(text, out_type=int) + return self.tokenizer.encode(text, add_special_tokens=False) def encode_batch(self, texts): """Encode a list of strings into tokens.""" @@ -31,7 +27,6 @@ def encode_batch(self, texts): def decode(self, tokens): """Decode a list of tokens into a string.""" - # check if the tokens are a tensor if torch.is_tensor(tokens): tokens = tokens.tolist() return self.tokenizer.decode(tokens) From a486b5e66bae40652d67bb9b71ea93360872d6ea Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 16 Aug 2024 20:42:02 +0700 Subject: [PATCH 034/209] added byte level accuracy and byte-level perplexity --- models/components/tokenizers/llama_30k.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/models/components/tokenizers/llama_30k.py b/models/components/tokenizers/llama_30k.py index c26c68b6..e6d76b10 100644 --- a/models/components/tokenizers/llama_30k.py +++ b/models/components/tokenizers/llama_30k.py @@ -4,7 +4,9 @@ """ +import torch from transformers import AutoTokenizer +from models.components.tokenizers.base_class import Tokenizer class LLaMATokenizer(Tokenizer): """A simple wrapper around a LLaMA-based Tokenizer.""" From 17fb9e216d984cb14c5b40dd79b33808363535df Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 16 Aug 2024 22:05:21 +0700 Subject: [PATCH 035/209] added byte level accuracy and byte-level perplexity --- configs/full_configs/baseline_llama_30k.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/configs/full_configs/baseline_llama_30k.yaml b/configs/full_configs/baseline_llama_30k.yaml index 973c7cce..4927e2eb 100644 --- a/configs/full_configs/baseline_llama_30k.yaml +++ b/configs/full_configs/baseline_llama_30k.yaml @@ -24,7 +24,7 @@ model: lm_head_type: generic hidden_dim: 512 context_window: 512 - vocab_size: 32000 + vocab_size: 32001 model_shell_type: standard embedding_weight_tying: true positional_encoding_type: rope From 27bfea722e1c225a88e329c0b06f9aa4e6df588a Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sat, 17 Aug 2024 02:02:02 +0700 Subject: [PATCH 036/209] added byte level accuracy and byte-level perplexity --- configs/full_configs/baseline_opt.yaml | 86 +++++++++++++++++++++++ models/components/tokenizers/llama_30k.py | 1 + models/components/tokenizers/opt.py | 41 +++++++++++ models/components/tokenizers/setup.py | 2 + 4 files changed, 130 insertions(+) create mode 100644 configs/full_configs/baseline_opt.yaml create mode 100644 models/components/tokenizers/opt.py diff --git a/configs/full_configs/baseline_opt.yaml b/configs/full_configs/baseline_opt.yaml new file mode 100644 index 00000000..c3ad5c30 --- /dev/null +++ b/configs/full_configs/baseline_opt.yaml @@ -0,0 +1,86 @@ +model: + core_model: + core_model_type: generic + num_layers: 8 + ffn: + ffn_type: swiglu + ffn_dim: 1320 + normalization: rms_norm + bias: false + attn: + attn_type: generic + num_heads: 16 + normalization: rms_norm + group_size: 4 + bias: false + is_causal: true + embedder: + tokenizer_type: opt + embedding_model_type: generic + dataset_name: stlm + lm_head: + normalization: rms_norm + bias: false + lm_head_type: generic + hidden_dim: 512 + context_window: 512 + vocab_size: 50265 + model_shell_type: standard + embedding_weight_tying: true + positional_encoding_type: rope +trainer: + dropout_scheduler: + dropout_type: constant + dropout: 0.1 + dataset: openwebtext + training: + trainer_type: base_trainer + batch_size: 24 + gradient_accumulation_steps: 20 + max_iters: 30000 + lr_decay_iters: 30000 + warmup_iters: 5000 + eval_interval: 2000 + log_interval: 10 + eval_iters: 500 + checkpoint_interval: 1000000000.0 + run_profiler: false + eval: + - benchmarks: + - "winograd" + - "hellaswag" + - "arc" + - "mmlu" + - "blimp" + num_samples: 1000 + evaluator: "mcq" + - evaluator: "prog" + optimizer: + name: nanoGPTadamW + lr: 0.0006 + min_lr: 6.0e-05 + weight_decay: 0.1 + beta1: 0.9 + beta2: 0.95 + grad_clip: 1.0 + decay_lr: true + warmup_iters: 5000 + lr_scheduler: + name: cosine + dataloader: + name: standard + datasampling: + name: standard + loss_fn: + name: cross_entropy +general: + logging: + wandb_log: false + wandb_project: SuperTinyLanguageModels + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/models/components/tokenizers/llama_30k.py b/models/components/tokenizers/llama_30k.py index e6d76b10..30f30f46 100644 --- a/models/components/tokenizers/llama_30k.py +++ b/models/components/tokenizers/llama_30k.py @@ -1,6 +1,7 @@ """ A simple wrapper around the LLaMA Tokenizer to standardize the interface for tokenization. +32_001 vocab size """ diff --git a/models/components/tokenizers/opt.py b/models/components/tokenizers/opt.py new file mode 100644 index 00000000..2e6bb934 --- /dev/null +++ b/models/components/tokenizers/opt.py @@ -0,0 +1,41 @@ +""" +A simple wrapper around the OPT Tokenizer to +standardize the interface for tokenization. +""" + +import torch +from transformers import AutoTokenizer +from models.components.tokenizers.base_class import Tokenizer + +class OPTTokenizer(Tokenizer): + """A simple wrapper around the OPT Tokenizer.""" + + def __init__(self, **_): + super().__init__() + # Hardcoded model name or path from Hugging Face + model_name_or_path = "facebook/opt-1.3b" + self.tokenizer = AutoTokenizer.from_pretrained(model_name_or_path) + self.eot_token = self.tokenizer.eos_token_id + self.pad_token = self.tokenizer.pad_token_id + self.vocab_size = self.tokenizer.vocab_size + + def encode(self, text): + """Encode a string into tokens.""" + return self.tokenizer.encode(text, add_special_tokens=False) + + def encode_batch(self, texts): + """Encode a list of strings into tokens.""" + return [self.encode(text) for text in texts] + + def decode(self, tokens): + """Decode a list of tokens into a string.""" + # Check if the tokens are a tensor + if torch.is_tensor(tokens): + tokens = tokens.tolist() + return self.tokenizer.decode(tokens) + + def decode_batch(self, token_lists): + """Decode a list of token lists into a list of strings.""" + if torch.is_tensor(token_lists): + token_lists = token_lists.tolist() + return [self.decode(tokens) for tokens in token_lists] diff --git a/models/components/tokenizers/setup.py b/models/components/tokenizers/setup.py index 9e972097..ebe170fa 100644 --- a/models/components/tokenizers/setup.py +++ b/models/components/tokenizers/setup.py @@ -8,6 +8,7 @@ from models.components.tokenizers.ck100k import CL100KTokenizer from models.components.tokenizers.p50k import P50KTokenizer from models.components.tokenizers.llama_30k import LLaMATokenizer +from models.components.tokenizers.opt import OPTTokenizer TOKENIZER_DICT = { "gpt2": lambda vocab_size, dataset_name: GPT2Tokenizer(), @@ -17,6 +18,7 @@ "cl100k": lambda vocab_size, dataset_name: CL100KTokenizer(), "p50k": lambda vocab_size, dataset_name: P50KTokenizer(), "llama_30k": lambda vocab_size, dataset_name: LLaMATokenizer(), + "opt": lambda vocab_size, dataset_name: OPTTokenizer(), } From 858eb83f6121f8adbc2dae4d4767c4cff826a733 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Thu, 22 Aug 2024 16:37:54 +0700 Subject: [PATCH 037/209] fixed byte ppl --- evals/text_modeling/text_modeling_evaluator.py | 2 +- models/components/tokenizers/bpe.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index 37c2c8e4..64846321 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -116,7 +116,7 @@ def evaluate(self): # calculate byte perplexity byte_perplexity_total += torch.exp( F.cross_entropy( - pred_logits.unsqueeze(0), + pred_logits.unsqueeze(0).softmax(dim=1), input_id.unsqueeze(0) ) ).item()*len(input_text_enc) diff --git a/models/components/tokenizers/bpe.py b/models/components/tokenizers/bpe.py index c39cea20..ed19b2bd 100644 --- a/models/components/tokenizers/bpe.py +++ b/models/components/tokenizers/bpe.py @@ -97,7 +97,7 @@ def decode_batch(self, token_lists): token_lists = token_lists.tolist() return [self.decode(tokens) for tokens in token_lists] - def _train_tokenizer(self, verbose=True): + def _train_tokenizer(self, verbose=True): """ Train the Byte Pair Encoding tokenizer on the given dataset. From 7f290d9d672f758f56e2aaf16a9ddac7e329162f Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Thu, 22 Aug 2024 17:00:09 +0700 Subject: [PATCH 038/209] fixed byte ppl --- evals/text_modeling/text_modeling_evaluator.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index 64846321..9965754b 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -116,7 +116,7 @@ def evaluate(self): # calculate byte perplexity byte_perplexity_total += torch.exp( F.cross_entropy( - pred_logits.unsqueeze(0).softmax(dim=1), + pred_logits.unsqueeze(0).softmax(dim=-1), input_id.unsqueeze(0) ) ).item()*len(input_text_enc) From 8c1d14cd6830ca529eee83b5ed410156833bf6cc Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 28 Aug 2024 00:55:07 +0700 Subject: [PATCH 039/209] added faster bpe (maybe buggy) --- .../text_generation_evaluator.py | 40 +++ models/components/tokenizers/bpe.py | 234 ++++++------------ models/model_shell.py | 23 ++ 3 files changed, 144 insertions(+), 153 deletions(-) create mode 100644 evals/text_generation/text_generation_evaluator.py diff --git a/evals/text_generation/text_generation_evaluator.py b/evals/text_generation/text_generation_evaluator.py new file mode 100644 index 00000000..e5a2005c --- /dev/null +++ b/evals/text_generation/text_generation_evaluator.py @@ -0,0 +1,40 @@ +""" +Evaluate the quality of some generated text by calculating the everage perplexity +of three larger models on the generated text. +""" +import torch +import numpy as np + + +class TextGenerationEvaluator: + def __init__(self, model): + self.model = model + + # Ensuret he model is in evaluation mode + self.model.eval() + + self.ppl_models = { + "llama-3-8b": None + } + + self.prompts = [ + "generate some text" + ] + + def evaluate(self): + """ + For each prompt, first, generate some text using the model. + Then calculate the average perplexity for each control model. + Finally, return the average perplexity of the control models. + """ + + perplexities = [] + for prompt in self.prompts: + generated_text = self.model.generate(prompt) + for model_name, model in self.ppl_models.items(): + # TODO use the model to calculate per-token perplexity + perplexities.append(perplexity) + + + return np.mean(perplexities) + \ No newline at end of file diff --git a/models/components/tokenizers/bpe.py b/models/components/tokenizers/bpe.py index ed19b2bd..6cc4d7a2 100644 --- a/models/components/tokenizers/bpe.py +++ b/models/components/tokenizers/bpe.py @@ -1,208 +1,143 @@ -""" -A simple implementation of the Byte Pair Encoding tokenizer, based on -https://github.com/karpathy/minbpe and sped up using https://t.co/MkTecNoWNP -by https://twitter.com/lexandermorgan/status/1778793836929495098. - -Original Paper: https://arxiv.org/abs/1508.07909v5 -""" -import torch import os -from heapq import nlargest - -from tqdm import tqdm +from typing import List +import torch +from tokenizers import Tokenizer +from tokenizers.models import BPE +from tokenizers.trainers import BpeTrainer +from tokenizers.pre_tokenizers import Whitespace from models.components.tokenizers import utils -from models.components.tokenizers.base_class import Tokenizer +from models.components.tokenizers.base_class import Tokenizer as BaseTokenizer from trainers.utils import load_data +class BPETokenizer(BaseTokenizer): + """Tokenizer for Byte Pair Encoding using Hugging Face tokenizers library.""" -class BPETokenizer(Tokenizer): - """Tokenizer for Byte Pair Encoding.""" - - def __init__(self, vocab_size, dataset_name): + def __init__(self, vocab_size: int, dataset_name: str): """ - Check if the specific tokenizer already exists, if not, create it. + Initialize the BPE tokenizer. + + Args: + vocab_size (int): The desired vocabulary size. + dataset_name (str): The name of the dataset to use for training. """ super().__init__() self.vocab_size = vocab_size self.dataset_name = dataset_name self.special_tokens = { - "<|pad|>": vocab_size - 2, - "<|endoftext|>": vocab_size - 1, + "<|pad|>": vocab_size - 3, + "<|endoftext|>": vocab_size - 2, + "<|unk|>": vocab_size - 1, } self.pad_token = self.special_tokens["<|pad|>"] self.eot_token = self.special_tokens["<|endoftext|>"] + self.unk_token = self.special_tokens["<|unk|>"] - assert self.vocab_size >= 256 + len( - self.special_tokens - ), f"Vocab size too small! Must be > {256+len(self.special_tokens)})" + assert self.vocab_size >= 256 + len(self.special_tokens), \ + f"Vocab size too small! Must be > {256 + len(self.special_tokens)})" if not utils.check_if_tokenizer_exists( tokenizer_type="bpe", vocab_size=vocab_size, dataset_name=dataset_name ): - # train the tokenizer and save it self._train_tokenizer() self._save() - else: - # load the stored tokenizer self._load() - self.eot_token = self.special_tokens["<|endoftext|>"] - - def encode(self, text): + def encode(self, text: str) -> List[int]: """ - Encode the text into Byte Pair Encoding tokens. + Encode the text into BPE tokens. + + Args: + text (str): The input text to encode. + + Returns: + List[int]: The list of token ids. """ - text_bytes = text.encode("utf-8") # raw bytes - ids = list(text_bytes) # list of integers in range 0..255 - while len(ids) >= 2: - # find the pair with the lowest merge index - stats = utils.get_stats(ids) - pair = min(stats, key=lambda p: self.merges.get(p, float("inf"))) - # subtle: if there are no more merges available, the key will - # result in an inf for every single pair, and the min will be - # just the first pair in the list, arbitrarily - # we can detect this terminating case by a membership check - if pair not in self.merges: - break # nothing else can be merged anymore - # otherwise let's merge the best pair (lowest merge index) - idx = self.merges[pair] - ids = utils.merge(ids, pair, idx) - return ids + return self.tokenizer.encode(text).ids - def encode_batch(self, texts): + def encode_batch(self, texts: List[str]) -> List[List[int]]: """ - Encode a batch of texts into Byte Pair Encoding tokens. + Encode a batch of texts into BPE tokens. + + Args: + texts (List[str]): The list of input texts to encode. + + Returns: + List[List[int]]: The list of token id lists. """ return [self.encode(text) for text in texts] - def decode(self, tokens): + def decode(self, tokens: List[int]) -> str: """ - Decode the Byte Pair Encoding tokens back into text. + Decode the BPE tokens back into text. + + Args: + tokens (List[int]): The list of token ids to decode. + + Returns: + str: The decoded text. """ - # if tensor, convert to list if torch.is_tensor(tokens): tokens = tokens.tolist() - text_bytes = b"".join(self.vocab[idx] for idx in tokens) - text = text_bytes.decode("utf-8", errors="replace") - return text + return self.tokenizer.decode(tokens) - def decode_batch(self, token_lists): + def decode_batch(self, token_lists: List[List[int]]) -> List[str]: """ - Decode a batch of Byte Pair Encoding token lists back into text. + Decode a batch of BPE token lists back into text. + + Args: + token_lists (List[List[int]]): The list of token id lists to decode. + + Returns: + List[str]: The list of decoded texts. """ - # if tensor, convert to list if torch.is_tensor(token_lists): token_lists = token_lists.tolist() return [self.decode(tokens) for tokens in token_lists] - def _train_tokenizer(self, verbose=True): + def _train_tokenizer(self, verbose: bool = True): """ - Train the Byte Pair Encoding tokenizer - on the given dataset. + Train the BPE tokenizer on the given dataset. + + Args: + verbose (bool): Whether to show progress during training. """ - # load the dataset + tokenizer = Tokenizer(BPE(unk_token="<|unk|>")) + tokenizer.pre_tokenizer = Whitespace() + + trainer = BpeTrainer( + vocab_size=self.vocab_size, + special_tokens=list(self.special_tokens.keys()), + min_frequency=2 + ) + dataset = load_data(dataset_name=self.dataset_name) + files = [dataset["train"]["text"]] # Adjust based on your dataset structure + + tokenizer.train(files, trainer) - # convert it into a large string - dataset_text = "".join(dataset["train"]["text"]) - - # preprocess the input text - text_bytes = dataset_text.encode("utf-8") - text_bytes = [*map(int, text_bytes)] - ids = list(text_bytes) - current_vocab_size = 256 - num_merges = self.vocab_size - current_vocab_size - len(self.special_tokens) - max_clutch_size = 64 - - # iteratively merge the most frequent pair - merges = {} # (int, int) -> int - - with tqdm(total=num_merges, desc="Training BPE", disable=not verbose) as pbar: - while num_merges > 0: - stats = utils.get_stats(ids) - top_pairs = nlargest( - min(max_clutch_size, num_merges), stats, key=stats.get - ) - pairs_to_merge = {} - first_seen = set() - second_seen = set() - for pair in top_pairs: - if pair[0] in second_seen or pair[1] in first_seen: - first_seen.add(pair[0]) - second_seen.add(pair[1]) - continue # skip this pair but keep looking for mergeable top_pairs - first_seen.add(pair[0]) - second_seen.add(pair[1]) - pairs_to_merge[pair] = current_vocab_size - current_vocab_size += 1 - num_merges -= 1 - pbar.update(1) - - ids = utils.multi_merge(ids, pairs_to_merge) - merges.update(pairs_to_merge) - - # save as class variable - self.merges = merges - self.vocab = self._build_vocab() - - def _build_vocab(self): - """ - Build the vocabulary from the merges. - """ - vocab = {idx: bytes([idx]) for idx in range(256)} - for (p0, p1), idx in self.merges.items(): - vocab[idx] = vocab[p0] + vocab[p1] - for special, idx in self.special_tokens.items(): - vocab[idx] = special.encode("utf-8") - return vocab + self.tokenizer = tokenizer + self.vocab = {id: token for token, id in tokenizer.get_vocab().items()} + self.merges = tokenizer.model.merges def _save(self): """ - Save the tokenizer as a .model file, and save the vocabulary - for easy debugging as a .vocab file. + Save the tokenizer as a .json file. """ tokenizer_folder, tokenizer_path = utils.get_tokenizer_path( tokenizer_type="bpe", vocab_size=self.vocab_size, dataset_name=self.dataset_name, ) - # create folder if necessary if not os.path.exists(tokenizer_folder): os.makedirs(tokenizer_folder) - # store the .model file - # pylint: disable=unspecified-encoding - with open(tokenizer_path, "w") as f: - # write the merges - for idx1, idx2 in self.merges: - f.write(f"{idx1} {idx2}\n") - # pylint: enable=unspecified-encoding - - # store the .vocab file - vocab_path = tokenizer_path.replace(".model", ".vocab") - inverted_merges = {idx: pair for pair, idx in self.merges.items()} - with open(vocab_path, "w", encoding="utf-8") as f: - for idx, token in self.vocab.items(): - # try rendering the tokens - s = utils.render_token(token) - # find the children of this token, if any - if idx in inverted_merges: - # if this token has children, render it nicely as a merge - idx0, idx1 = inverted_merges[idx] - s0 = utils.render_token(self.vocab[idx0]) - s1 = utils.render_token(self.vocab[idx1]) - f.write(f"[{s0}][{s1}] -> [{s}] {idx}\n") - else: - # otherwise this is leaf token, just print it - # (this should just be the first 256 tokens, the bytes) - f.write(f"[{s}] {idx}\n") + self.tokenizer.save(tokenizer_path) def _load(self): """ - Load the .model file of merges and build - the vocabulary. + Load the tokenizer from a .json file. """ _, tokenizer_path = utils.get_tokenizer_path( tokenizer_type="bpe", @@ -210,13 +145,6 @@ def _load(self): dataset_name=self.dataset_name, ) - merges = {} - idx = 256 - with open(tokenizer_path, "r", encoding="utf-8") as f: - # read the merges - for line in f: - idx1, idx2 = map(int, line.split()) - merges[(idx1, idx2)] = idx - idx += 1 - self.merges = merges - self.vocab = self._build_vocab() + self.tokenizer = Tokenizer.from_file(tokenizer_path) + self.vocab = {id: token for token, id in self.tokenizer.get_vocab().items()} + self.merges = self.tokenizer.model.merges \ No newline at end of file diff --git a/models/model_shell.py b/models/model_shell.py index 330f6de3..d89ad149 100644 --- a/models/model_shell.py +++ b/models/model_shell.py @@ -82,6 +82,29 @@ def inference(self, model_input): logits = self.model_head.inference(x) return logits, model_input + + @torch.no_grad() + def generate(self, model_input, max_length=100): + """ + Generate a sequence of tokens given a prompt. + Args: + model_input: str or torch.tensor(B, S) + max_length: int + Returns: + tokens: list[int] + """ + # tokenize the input + tokens = self.embedding_model.tokenize_input(model_input, truncate=True, add_eot=False) + + while len(tokens) < max_length: + # generate the next token + logits, _ = self.inference(tokens) + next_token = torch.argmax(logits[:, -1], dim=-1) + tokens.append(next_token.item()) + if next_token == self.embedding_model.eot_token: + break + + return tokens @torch.no_grad() def loglikelihood(self, prefixes, continuations): From 0eac6e5a7fad6ad0b571befe609fbddf214f4187 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 17:44:39 +0700 Subject: [PATCH 040/209] added subsample tokenizer --- configs/full_configs/baseline-bpe-10k.yaml | 86 ++++++++++++ .../components/tokenizers/bpe_subsampled.py | 132 ++++++++++++++++++ models/components/tokenizers/setup.py | 4 + 3 files changed, 222 insertions(+) create mode 100644 configs/full_configs/baseline-bpe-10k.yaml create mode 100644 models/components/tokenizers/bpe_subsampled.py diff --git a/configs/full_configs/baseline-bpe-10k.yaml b/configs/full_configs/baseline-bpe-10k.yaml new file mode 100644 index 00000000..fecfc674 --- /dev/null +++ b/configs/full_configs/baseline-bpe-10k.yaml @@ -0,0 +1,86 @@ +model: + core_model: + core_model_type: generic + num_layers: 16 + ffn: + ffn_type: swiglu + ffn_dim: 1320 + normalization: rms_norm + bias: false + attn: + attn_type: generic + num_heads: 16 + normalization: rms_norm + group_size: 4 + bias: false + is_causal: true + embedder: + tokenizer_type: bpe-subsampled + embedding_model_type: generic + dataset_name: stlm + lm_head: + normalization: rms_norm + bias: false + lm_head_type: generic + hidden_dim: 512 + context_window: 512 + vocab_size: 10000 + model_shell_type: standard + embedding_weight_tying: true + positional_encoding_type: rope +trainer: + dropout_scheduler: + dropout_type: constant + dropout: 0.1 + dataset: openwebtext + training: + trainer_type: base_trainer + batch_size: 24 + gradient_accumulation_steps: 20 + max_iters: 30000 + lr_decay_iters: 30000 + warmup_iters: 5000 + eval_interval: 2000 + log_interval: 10 + eval_iters: 500 + checkpoint_interval: 1000000000.0 + run_profiler: false + eval: + - benchmarks: + - "winograd" + - "hellaswag" + - "arc" + - "mmlu" + - "blimp" + num_samples: 1000 + evaluator: "mcq" + - evaluator: "prog" + optimizer: + name: nanoGPTadamW + lr: 0.0006 + min_lr: 6.0e-05 + weight_decay: 0.1 + beta1: 0.9 + beta2: 0.95 + grad_clip: 1.0 + decay_lr: true + warmup_iters: 5000 + lr_scheduler: + name: cosine + dataloader: + name: standard + datasampling: + name: standard + loss_fn: + name: cross_entropy +general: + logging: + wandb_log: false + wandb_project: SuperTinyLanguageModels + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/models/components/tokenizers/bpe_subsampled.py b/models/components/tokenizers/bpe_subsampled.py new file mode 100644 index 00000000..b07e578e --- /dev/null +++ b/models/components/tokenizers/bpe_subsampled.py @@ -0,0 +1,132 @@ +import os +from typing import List +import torch +from tokenizers import Tokenizer +from tokenizers.models import BPE +from tokenizers.trainers import BpeTrainer +from tokenizers.pre_tokenizers import Whitespace + +import json +from transformers import AutoTokenizer +from tokenizers import Tokenizer + + +from models.components.tokenizers import utils +from models.components.tokenizers.base_class import Tokenizer as BaseTokenizer +from trainers.utils import load_data + +class BPESubsampledTokenizer(BaseTokenizer): + """Tokenizer for Byte Pair Encoding using Hugging Face tokenizers library.""" + + def __init__(self, vocab_size: int): + """ + Load and subsample the Llama-3.1 tokenizer + """ + + assert self.vocab_size >= 256 + len(self.special_tokens), \ + f"Vocab size too small! Must be > {256 + len(self.special_tokens)})" + + + self.tokenizer = AutoTokenizer("NousResearch/Hermes-3-Llama-3.1-8B", use_fast=True) + assert self.tokenizer.is_fast, "Tokenizer is not fast" + tokenizer_json = json.loads(self.tokenizer._tokenizer.to_str()) + vocab = tokenizer_json["model"]["vocab"] + + # Prune the vocabulary + new_vocab = {token: i for token, i in vocab.items() if i < vocab_size-3} + merges = tokenizer_json["model"]["merges"] + new_merges = [] + for i in range(len(merges)): + a, b = merges[i].split() + new_token = " ".join([a, b]) + if a in new_vocab and b in new_vocab and new_token in new_vocab: + new_merges.append(merges[i]) + + # add the special tokens (eot, pad, unk) + new_vocab["<|pad|>"] = vocab_size - 3 + new_vocab["<|endoftext|>"] = vocab_size - 2 + new_vocab["<|unk|>"] = vocab_size - 1 + + tokenizer_json["model"]["merges"] = new_merges + tokenizer_json["model"]["vocab"] = new_vocab + self.tokenizer._tokenizer = Tokenizer.from_str(json.dumps(tokenizer_json)) + + + + def encode(self, text: str) -> List[int]: + """ + Encode the text into BPE tokens. + + Args: + text (str): The input text to encode. + + Returns: + List[int]: The list of token ids. + """ + return self.tokenizer.encode(text).ids + + def encode_batch(self, texts: List[str]) -> List[List[int]]: + """ + Encode a batch of texts into BPE tokens. + + Args: + texts (List[str]): The list of input texts to encode. + + Returns: + List[List[int]]: The list of token id lists. + """ + return [self.encode(text) for text in texts] + + def decode(self, tokens: List[int]) -> str: + """ + Decode the BPE tokens back into text. + + Args: + tokens (List[int]): The list of token ids to decode. + + Returns: + str: The decoded text. + """ + if torch.is_tensor(tokens): + tokens = tokens.tolist() + return self.tokenizer.decode(tokens) + + def decode_batch(self, token_lists: List[List[int]]) -> List[str]: + """ + Decode a batch of BPE token lists back into text. + + Args: + token_lists (List[List[int]]): The list of token id lists to decode. + + Returns: + List[str]: The list of decoded texts. + """ + if torch.is_tensor(token_lists): + token_lists = token_lists.tolist() + return [self.decode(tokens) for tokens in token_lists] + + def _train_tokenizer(self, verbose: bool = True): + """ + No need to train + """ + pass + + def _save(self): + """ + Save the tokenizer as a .json file. + """ + tokenizer_folder, tokenizer_path = utils.get_tokenizer_path( + tokenizer_type="bpe", + vocab_size=self.vocab_size, + dataset_name=self.dataset_name, + ) + if not os.path.exists(tokenizer_folder): + os.makedirs(tokenizer_folder) + + self.tokenizer.save(tokenizer_path) + + def _load(self): + """ + No need to load + """ + pass \ No newline at end of file diff --git a/models/components/tokenizers/setup.py b/models/components/tokenizers/setup.py index ebe170fa..21ab4089 100644 --- a/models/components/tokenizers/setup.py +++ b/models/components/tokenizers/setup.py @@ -9,6 +9,7 @@ from models.components.tokenizers.p50k import P50KTokenizer from models.components.tokenizers.llama_30k import LLaMATokenizer from models.components.tokenizers.opt import OPTTokenizer +from models.components.tokenizers.bpe_subsampled import BPESubsampledTokenizer TOKENIZER_DICT = { "gpt2": lambda vocab_size, dataset_name: GPT2Tokenizer(), @@ -19,6 +20,9 @@ "p50k": lambda vocab_size, dataset_name: P50KTokenizer(), "llama_30k": lambda vocab_size, dataset_name: LLaMATokenizer(), "opt": lambda vocab_size, dataset_name: OPTTokenizer(), + "bpe_subsampled": lambda vocab_size, dataset_name: BPESubsampledTokenizer( + vocab_size=vocab_size + ) } From a18332a9749013bdc93edeb1b6ce5e37c2d9b8b7 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 17:53:24 +0700 Subject: [PATCH 041/209] added subsample tokenizer --- models/components/tokenizers/setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/components/tokenizers/setup.py b/models/components/tokenizers/setup.py index 21ab4089..e44e220a 100644 --- a/models/components/tokenizers/setup.py +++ b/models/components/tokenizers/setup.py @@ -20,7 +20,7 @@ "p50k": lambda vocab_size, dataset_name: P50KTokenizer(), "llama_30k": lambda vocab_size, dataset_name: LLaMATokenizer(), "opt": lambda vocab_size, dataset_name: OPTTokenizer(), - "bpe_subsampled": lambda vocab_size, dataset_name: BPESubsampledTokenizer( + "bpe-subsampled": lambda vocab_size, dataset_name: BPESubsampledTokenizer( vocab_size=vocab_size ) } From a1c3e437fbf7dabb0753391b3b4cf79c90385aec Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 17:53:54 +0700 Subject: [PATCH 042/209] added subsample tokenizer --- models/components/tokenizers/bpe_subsampled.py | 5 ----- 1 file changed, 5 deletions(-) diff --git a/models/components/tokenizers/bpe_subsampled.py b/models/components/tokenizers/bpe_subsampled.py index b07e578e..7055775d 100644 --- a/models/components/tokenizers/bpe_subsampled.py +++ b/models/components/tokenizers/bpe_subsampled.py @@ -22,11 +22,6 @@ def __init__(self, vocab_size: int): """ Load and subsample the Llama-3.1 tokenizer """ - - assert self.vocab_size >= 256 + len(self.special_tokens), \ - f"Vocab size too small! Must be > {256 + len(self.special_tokens)})" - - self.tokenizer = AutoTokenizer("NousResearch/Hermes-3-Llama-3.1-8B", use_fast=True) assert self.tokenizer.is_fast, "Tokenizer is not fast" tokenizer_json = json.loads(self.tokenizer._tokenizer.to_str()) From c3263133e42e7ed02c86dfd4fec94356d31471e6 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 17:54:40 +0700 Subject: [PATCH 043/209] added subsample tokenizer --- models/components/tokenizers/bpe_subsampled.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/components/tokenizers/bpe_subsampled.py b/models/components/tokenizers/bpe_subsampled.py index 7055775d..4b5f1a52 100644 --- a/models/components/tokenizers/bpe_subsampled.py +++ b/models/components/tokenizers/bpe_subsampled.py @@ -22,7 +22,7 @@ def __init__(self, vocab_size: int): """ Load and subsample the Llama-3.1 tokenizer """ - self.tokenizer = AutoTokenizer("NousResearch/Hermes-3-Llama-3.1-8B", use_fast=True) + self.tokenizer = AutoTokenizer.from_pretrained("NousResearch/Hermes-3-Llama-3.1-8B", use_fast=True) assert self.tokenizer.is_fast, "Tokenizer is not fast" tokenizer_json = json.loads(self.tokenizer._tokenizer.to_str()) vocab = tokenizer_json["model"]["vocab"] From e26bcc8447f223a31b47723e2c750a83fcc74c65 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 17:55:22 +0700 Subject: [PATCH 044/209] added subsample tokenizer --- models/components/tokenizers/bpe_subsampled.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/models/components/tokenizers/bpe_subsampled.py b/models/components/tokenizers/bpe_subsampled.py index 4b5f1a52..6ec6cbc5 100644 --- a/models/components/tokenizers/bpe_subsampled.py +++ b/models/components/tokenizers/bpe_subsampled.py @@ -46,6 +46,11 @@ def __init__(self, vocab_size: int): tokenizer_json["model"]["vocab"] = new_vocab self.tokenizer._tokenizer = Tokenizer.from_str(json.dumps(tokenizer_json)) + self.vocab_size = vocab_size + self.eot_token = vocab_size - 2 + self.pad_token = vocab_size - 3 + self.unk_token = vocab_size - 1 + def encode(self, text: str) -> List[int]: From 43239493d3118aed61e716ebc010bb3ef319fda0 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 18:24:12 +0700 Subject: [PATCH 045/209] added subsample tokenizer --- models/components/tokenizers/bpe_subsampled.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/models/components/tokenizers/bpe_subsampled.py b/models/components/tokenizers/bpe_subsampled.py index 6ec6cbc5..f54f3c72 100644 --- a/models/components/tokenizers/bpe_subsampled.py +++ b/models/components/tokenizers/bpe_subsampled.py @@ -63,7 +63,11 @@ def encode(self, text: str) -> List[int]: Returns: List[int]: The list of token ids. """ - return self.tokenizer.encode(text).ids + encoded = self.tokenizer.encode(text) + if isinstance(encoded, list): + return encoded + else: + return encoded.ids def encode_batch(self, texts: List[str]) -> List[List[int]]: """ From 9334c753550045e85824eb8ad149ded50c9157b4 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 20:20:02 +0700 Subject: [PATCH 046/209] added subsample tokenizer(debugging) --- models/components/tokenizers/bpe_subsampled.py | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/models/components/tokenizers/bpe_subsampled.py b/models/components/tokenizers/bpe_subsampled.py index f54f3c72..57aefd06 100644 --- a/models/components/tokenizers/bpe_subsampled.py +++ b/models/components/tokenizers/bpe_subsampled.py @@ -28,7 +28,7 @@ def __init__(self, vocab_size: int): vocab = tokenizer_json["model"]["vocab"] # Prune the vocabulary - new_vocab = {token: i for token, i in vocab.items() if i < vocab_size-3} + new_vocab = {token: i for i, (token, _) in enumerate(vocab.items()) if i < vocab_size-3} merges = tokenizer_json["model"]["merges"] new_merges = [] for i in range(len(merges)): @@ -63,11 +63,8 @@ def encode(self, text: str) -> List[int]: Returns: List[int]: The list of token ids. """ - encoded = self.tokenizer.encode(text) - if isinstance(encoded, list): - return encoded - else: - return encoded.ids + return self.tokenizer(text) + def encode_batch(self, texts: List[str]) -> List[List[int]]: """ From 761c030841923e1c3c9535733b7414431454e221 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 20:21:54 +0700 Subject: [PATCH 047/209] added subsample tokenizer(debugging) --- models/components/tokenizers/bpe_subsampled.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/components/tokenizers/bpe_subsampled.py b/models/components/tokenizers/bpe_subsampled.py index 57aefd06..7dfecec2 100644 --- a/models/components/tokenizers/bpe_subsampled.py +++ b/models/components/tokenizers/bpe_subsampled.py @@ -63,7 +63,7 @@ def encode(self, text: str) -> List[int]: Returns: List[int]: The list of token ids. """ - return self.tokenizer(text) + return self.tokenizer.encode(text) def encode_batch(self, texts: List[str]) -> List[List[int]]: From 7c1152b303101dc34227315a15b0ddda93d1b240 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 20:27:37 +0700 Subject: [PATCH 048/209] added subsample tokenizer(debugging) --- models/components/tokenizers/bpe_subsampled.py | 18 ++++++++++++------ 1 file changed, 12 insertions(+), 6 deletions(-) diff --git a/models/components/tokenizers/bpe_subsampled.py b/models/components/tokenizers/bpe_subsampled.py index 7dfecec2..b5a4937c 100644 --- a/models/components/tokenizers/bpe_subsampled.py +++ b/models/components/tokenizers/bpe_subsampled.py @@ -22,6 +22,12 @@ def __init__(self, vocab_size: int): """ Load and subsample the Llama-3.1 tokenizer """ + self.vocab_size = vocab_size + self.special_tokens = ["<|pad|>", "<|endoftext|>", "<|unk|>"] + + assert self.vocab_size >= 256 + len(self.special_tokens), \ + f"Vocab size too small! Must be > {256 + len(self.special_tokens)})" + self.tokenizer = AutoTokenizer.from_pretrained("NousResearch/Hermes-3-Llama-3.1-8B", use_fast=True) assert self.tokenizer.is_fast, "Tokenizer is not fast" tokenizer_json = json.loads(self.tokenizer._tokenizer.to_str()) @@ -33,7 +39,7 @@ def __init__(self, vocab_size: int): new_merges = [] for i in range(len(merges)): a, b = merges[i].split() - new_token = " ".join([a, b]) + new_token = "".join([a, b]) if a in new_vocab and b in new_vocab and new_token in new_vocab: new_merges.append(merges[i]) @@ -44,12 +50,12 @@ def __init__(self, vocab_size: int): tokenizer_json["model"]["merges"] = new_merges tokenizer_json["model"]["vocab"] = new_vocab - self.tokenizer._tokenizer = Tokenizer.from_str(json.dumps(tokenizer_json)) + self.tokenizer = Tokenizer.from_str(json.dumps(tokenizer_json)) + + # Verification step + print(f"Vocabulary size: {len(self.tokenizer.get_vocab())}") + print(f"Maximum token ID: {max(self.tokenizer.get_vocab().values())}") - self.vocab_size = vocab_size - self.eot_token = vocab_size - 2 - self.pad_token = vocab_size - 3 - self.unk_token = vocab_size - 1 From 17b7be4a653726a5faf83f93a3b100a53daf35ab Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 20:28:11 +0700 Subject: [PATCH 049/209] added subsample tokenizer(debugging) --- models/components/tokenizers/bpe_subsampled.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/models/components/tokenizers/bpe_subsampled.py b/models/components/tokenizers/bpe_subsampled.py index b5a4937c..e211c6a8 100644 --- a/models/components/tokenizers/bpe_subsampled.py +++ b/models/components/tokenizers/bpe_subsampled.py @@ -56,6 +56,9 @@ def __init__(self, vocab_size: int): print(f"Vocabulary size: {len(self.tokenizer.get_vocab())}") print(f"Maximum token ID: {max(self.tokenizer.get_vocab().values())}") + self.pad_token_id = self.tokenizer.token_to_id("<|pad|>") + self.eot_token_id = self.tokenizer.token_to_id("<|endoftext|>") + self.unk_token_id = self.tokenizer.token_to_id("<|unk|>") From 968a3fc12a353e3677d3e583e032f2181c4978d8 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 20:28:33 +0700 Subject: [PATCH 050/209] added subsample tokenizer(debugging) --- models/components/tokenizers/bpe_subsampled.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/models/components/tokenizers/bpe_subsampled.py b/models/components/tokenizers/bpe_subsampled.py index e211c6a8..2f0d71ae 100644 --- a/models/components/tokenizers/bpe_subsampled.py +++ b/models/components/tokenizers/bpe_subsampled.py @@ -56,9 +56,9 @@ def __init__(self, vocab_size: int): print(f"Vocabulary size: {len(self.tokenizer.get_vocab())}") print(f"Maximum token ID: {max(self.tokenizer.get_vocab().values())}") - self.pad_token_id = self.tokenizer.token_to_id("<|pad|>") - self.eot_token_id = self.tokenizer.token_to_id("<|endoftext|>") - self.unk_token_id = self.tokenizer.token_to_id("<|unk|>") + self.pad_token = self.tokenizer.token_to_id("<|pad|>") + self.eot_token = self.tokenizer.token_to_id("<|endoftext|>") + self.unk_token = self.tokenizer.token_to_id("<|unk|>") From 84046fee82e44b2ab48731593787d3f2f8a753ba Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 20:30:55 +0700 Subject: [PATCH 051/209] added subsample tokenizer(debugging) --- models/components/tokenizers/bpe_subsampled.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/components/tokenizers/bpe_subsampled.py b/models/components/tokenizers/bpe_subsampled.py index 2f0d71ae..5d34d3aa 100644 --- a/models/components/tokenizers/bpe_subsampled.py +++ b/models/components/tokenizers/bpe_subsampled.py @@ -72,7 +72,7 @@ def encode(self, text: str) -> List[int]: Returns: List[int]: The list of token ids. """ - return self.tokenizer.encode(text) + return self.tokenizer.encode(text).ids def encode_batch(self, texts: List[str]) -> List[List[int]]: From d9c0a3d5d215c3ea715c180e746ec63bf5bd0e78 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 20:31:39 +0700 Subject: [PATCH 052/209] added subsample tokenizer(debugging) --- models/components/tokenizers/bpe_subsampled.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/components/tokenizers/bpe_subsampled.py b/models/components/tokenizers/bpe_subsampled.py index 5d34d3aa..870dd327 100644 --- a/models/components/tokenizers/bpe_subsampled.py +++ b/models/components/tokenizers/bpe_subsampled.py @@ -22,7 +22,7 @@ def __init__(self, vocab_size: int): """ Load and subsample the Llama-3.1 tokenizer """ - self.vocab_size = vocab_size + self.vocab_size = vocab_size - 256 self.special_tokens = ["<|pad|>", "<|endoftext|>", "<|unk|>"] assert self.vocab_size >= 256 + len(self.special_tokens), \ From 9c9dbb32b686f36d5e350a0510f8e287a052f677 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 20:33:36 +0700 Subject: [PATCH 053/209] added subsample tokenizer(debugging) --- models/components/tokenizers/bpe_subsampled.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/models/components/tokenizers/bpe_subsampled.py b/models/components/tokenizers/bpe_subsampled.py index 870dd327..afac641e 100644 --- a/models/components/tokenizers/bpe_subsampled.py +++ b/models/components/tokenizers/bpe_subsampled.py @@ -34,7 +34,7 @@ def __init__(self, vocab_size: int): vocab = tokenizer_json["model"]["vocab"] # Prune the vocabulary - new_vocab = {token: i for i, (token, _) in enumerate(vocab.items()) if i < vocab_size-3} + new_vocab = {token: i for i, (token, _) in enumerate(vocab.items()) if i < self.vocab_size-3} merges = tokenizer_json["model"]["merges"] new_merges = [] for i in range(len(merges)): @@ -44,9 +44,9 @@ def __init__(self, vocab_size: int): new_merges.append(merges[i]) # add the special tokens (eot, pad, unk) - new_vocab["<|pad|>"] = vocab_size - 3 - new_vocab["<|endoftext|>"] = vocab_size - 2 - new_vocab["<|unk|>"] = vocab_size - 1 + new_vocab["<|pad|>"] = self.vocab_size - 3 + new_vocab["<|endoftext|>"] = self.vocab_size - 2 + new_vocab["<|unk|>"] = self.vocab_size - 1 tokenizer_json["model"]["merges"] = new_merges tokenizer_json["model"]["vocab"] = new_vocab From 082a59472bd4eab02908e0157cb7f8c41ecdb5cd Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 20:36:38 +0700 Subject: [PATCH 054/209] added subsample tokenizer(debugging) --- models/components/tokenizers/bpe_subsampled.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/components/tokenizers/bpe_subsampled.py b/models/components/tokenizers/bpe_subsampled.py index afac641e..1617e542 100644 --- a/models/components/tokenizers/bpe_subsampled.py +++ b/models/components/tokenizers/bpe_subsampled.py @@ -72,7 +72,7 @@ def encode(self, text: str) -> List[int]: Returns: List[int]: The list of token ids. """ - return self.tokenizer.encode(text).ids + return self.tokenizer.encode(text, add_special_tokens=False).ids def encode_batch(self, texts: List[str]) -> List[List[int]]: From 3cb819904817ed3f5fd35e0b0e91fd8699e758e4 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 20:40:49 +0700 Subject: [PATCH 055/209] should be working now --- trainers/base_trainer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index cd4b9066..b3229f6a 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -285,7 +285,7 @@ def run_training_loop(self): # Log to wandb if (self.gpu_id == 0 or self.gpu_id is None) and self.use_wandb: # ensure only the first GPU logs - log_dict = {"iter": iter_num, "lr": lr, "dropout": dropout} + log_dict = {"iter": iter_num, "lr": lr, "dropout": dropout, "sample_num": self.batch_size*self.gradient_accumulation_steps*iter_num} log_dict.update(eval_results) # Directly add evals to the log dictionary log_dict.update({k:v for k,v in benchmark_results.items()}) # Add benchmark results to the log dictionary log_dict.update({f"text_modeling/{k}":v for k,v in text_modeling_results.items()}) From e8eb8daf86cb0143133cd384ca9ce9ac8eab62e0 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sun, 1 Sep 2024 22:41:22 +0700 Subject: [PATCH 056/209] added wide config --- configs/full_configs/baseline-wide.yaml | 86 +++++++++++++++++++++++++ 1 file changed, 86 insertions(+) create mode 100644 configs/full_configs/baseline-wide.yaml diff --git a/configs/full_configs/baseline-wide.yaml b/configs/full_configs/baseline-wide.yaml new file mode 100644 index 00000000..0dc04bd4 --- /dev/null +++ b/configs/full_configs/baseline-wide.yaml @@ -0,0 +1,86 @@ +model: + core_model: + core_model_type: generic + num_layers: 7 + ffn: + ffn_type: swiglu + ffn_dim: 1900 + normalization: rms_norm + bias: false + attn: + attn_type: generic + num_heads: 16 + normalization: rms_norm + group_size: 4 + bias: false + is_causal: true + embedder: + tokenizer_type: bpe-subsampled + embedding_model_type: generic + dataset_name: stlm + lm_head: + normalization: rms_norm + bias: false + lm_head_type: generic + hidden_dim: 768 + context_window: 512 + vocab_size: 10000 + model_shell_type: standard + embedding_weight_tying: true + positional_encoding_type: rope +trainer: + dropout_scheduler: + dropout_type: constant + dropout: 0.1 + dataset: openwebtext + training: + trainer_type: base_trainer + batch_size: 24 + gradient_accumulation_steps: 20 + max_iters: 30000 + lr_decay_iters: 30000 + warmup_iters: 5000 + eval_interval: 2000 + log_interval: 10 + eval_iters: 500 + checkpoint_interval: 1000000000.0 + run_profiler: false + eval: + - benchmarks: + - "winograd" + - "hellaswag" + - "arc" + - "mmlu" + - "blimp" + num_samples: 1000 + evaluator: "mcq" + - evaluator: "prog" + optimizer: + name: nanoGPTadamW + lr: 0.0006 + min_lr: 6.0e-05 + weight_decay: 0.1 + beta1: 0.9 + beta2: 0.95 + grad_clip: 1.0 + decay_lr: true + warmup_iters: 5000 + lr_scheduler: + name: cosine + dataloader: + name: standard + datasampling: + name: standard + loss_fn: + name: cross_entropy +general: + logging: + wandb_log: false + wandb_project: SuperTinyLanguageModels + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda From 2d1cb4f931e93b89e7c92de75de8c77ae07558bb Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 4 Sep 2024 00:00:56 +0700 Subject: [PATCH 057/209] added new tokenizer type --- models/components/tokenizers/bpe_retrain.py | 147 ++++++++++++++++++++ models/components/tokenizers/setup.py | 6 +- 2 files changed, 152 insertions(+), 1 deletion(-) create mode 100644 models/components/tokenizers/bpe_retrain.py diff --git a/models/components/tokenizers/bpe_retrain.py b/models/components/tokenizers/bpe_retrain.py new file mode 100644 index 00000000..f7b95526 --- /dev/null +++ b/models/components/tokenizers/bpe_retrain.py @@ -0,0 +1,147 @@ +import os +from typing import List +import torch +from tokenizers import Tokenizer +from tokenizers.models import BPE +from tokenizers.trainers import BpeTrainer +from tokenizers.pre_tokenizers import Whitespace + +from models.components.tokenizers import utils +from models.components.tokenizers.base_class import Tokenizer as BaseTokenizer +from trainers.utils import load_data + +from transformers import AutoTokenizer + + + +class BPERetrainTokenizer(BaseTokenizer): + """Tokenizer for Byte Pair Encoding using Hugging Face tokenizers library.""" + + def __init__(self, vocab_size: int, dataset_name: str): + """ + Initialize the BPE tokenizer. + + Args: + vocab_size (int): The desired vocabulary size. + dataset_name (str): The name of the dataset to use for training. + """ + super().__init__() + self.vocab_size = vocab_size + self.dataset_name = dataset_name + self.special_tokens = { + "<|pad|>": vocab_size - 3, + "<|endoftext|>": vocab_size - 2, + "<|unk|>": vocab_size - 1, + } + self.pad_token = self.special_tokens["<|pad|>"] + self.eot_token = self.special_tokens["<|endoftext|>"] + self.unk_token = self.special_tokens["<|unk|>"] + + assert self.vocab_size >= 256 + len(self.special_tokens), \ + f"Vocab size too small! Must be > {256 + len(self.special_tokens)})" + + if not utils.check_if_tokenizer_exists( + tokenizer_type="bpe", vocab_size=vocab_size, dataset_name=dataset_name + ): + self._train_tokenizer() + self._save() + else: + self._load() + + def encode(self, text: str) -> List[int]: + """ + Encode the text into BPE tokens. + + Args: + text (str): The input text to encode. + + Returns: + List[int]: The list of token ids. + """ + return self.tokenizer.encode(text).ids + + def encode_batch(self, texts: List[str]) -> List[List[int]]: + """ + Encode a batch of texts into BPE tokens. + + Args: + texts (List[str]): The list of input texts to encode. + + Returns: + List[List[int]]: The list of token id lists. + """ + return [self.encode(text) for text in texts] + + def decode(self, tokens: List[int]) -> str: + """ + Decode the BPE tokens back into text. + + Args: + tokens (List[int]): The list of token ids to decode. + + Returns: + str: The decoded text. + """ + if torch.is_tensor(tokens): + tokens = tokens.tolist() + return self.tokenizer.decode(tokens) + + def decode_batch(self, token_lists: List[List[int]]) -> List[str]: + """ + Decode a batch of BPE token lists back into text. + + Args: + token_lists (List[List[int]]): The list of token id lists to decode. + + Returns: + List[str]: The list of decoded texts. + """ + if torch.is_tensor(token_lists): + token_lists = token_lists.tolist() + return [self.decode(tokens) for tokens in token_lists] + + def _train_tokenizer(self, verbose: bool = True): + """ + Train the BPE tokenizer on the given dataset. + + Args: + verbose (bool): Whether to show progress during training. + """ + raw_datasets = load_data(dataset_name=self.dataset_name) + def get_training_corpus(): + dataset = raw_datasets["train"] + for start_idx in range(0, len(dataset), 1000): + samples = dataset[start_idx : start_idx + 1000] + yield samples["whole_func_string"] + + training_corpus = get_training_corpus() + + old_tokenizer = AutoTokenizer.from_pretrained("gpt2") + tokenizer = old_tokenizer.train_new_from_iterator(training_corpus, self.vocab_size-3) + + # add special tokens + tokenizer.add_special_tokens(self.special_tokens) + + def _save(self): + """ + Save the tokenizer + """ + _, tokenizer_path = utils.get_tokenizer_path( + tokenizer_type="bpe", + vocab_size=self.vocab_size, + dataset_name=self.dataset_name, + ) + self.tokenizer.save(tokenizer_path) + + def _load(self): + """ + Load the tokenizer from a .json file. + """ + _, tokenizer_path = utils.get_tokenizer_path( + tokenizer_type="bpe", + vocab_size=self.vocab_size, + dataset_name=self.dataset_name, + ) + self.tokenizer = Tokenizer.from_file(tokenizer_path) + #self.tokenizer.add_special_tokens(self.special_tokens) + self.vocab = {id: token for token, id in self.tokenizer.get_vocab().items()} \ No newline at end of file diff --git a/models/components/tokenizers/setup.py b/models/components/tokenizers/setup.py index e44e220a..7b057274 100644 --- a/models/components/tokenizers/setup.py +++ b/models/components/tokenizers/setup.py @@ -10,6 +10,7 @@ from models.components.tokenizers.llama_30k import LLaMATokenizer from models.components.tokenizers.opt import OPTTokenizer from models.components.tokenizers.bpe_subsampled import BPESubsampledTokenizer +from models.components.tokenizers.bpe_retrain import BPERetrainTokenizer TOKENIZER_DICT = { "gpt2": lambda vocab_size, dataset_name: GPT2Tokenizer(), @@ -22,7 +23,10 @@ "opt": lambda vocab_size, dataset_name: OPTTokenizer(), "bpe-subsampled": lambda vocab_size, dataset_name: BPESubsampledTokenizer( vocab_size=vocab_size - ) + ), + "bpe-retrain": lambda vocab_size, dataset_name: BPERetrainTokenizer( + vocab_size=vocab_size, dataset_name=dataset_name + ), } From 5b7896c74d787fc91bb004de891dbd30574cd15c Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 4 Sep 2024 00:04:31 +0700 Subject: [PATCH 058/209] added new tokenizer type (debugging) --- models/components/tokenizers/bpe_retrain.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/components/tokenizers/bpe_retrain.py b/models/components/tokenizers/bpe_retrain.py index f7b95526..ea8cb62e 100644 --- a/models/components/tokenizers/bpe_retrain.py +++ b/models/components/tokenizers/bpe_retrain.py @@ -112,7 +112,7 @@ def get_training_corpus(): dataset = raw_datasets["train"] for start_idx in range(0, len(dataset), 1000): samples = dataset[start_idx : start_idx + 1000] - yield samples["whole_func_string"] + yield samples["text"] training_corpus = get_training_corpus() From cbe3c1366510623846d4cec81e8bdf273ce82e69 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 4 Sep 2024 00:09:30 +0700 Subject: [PATCH 059/209] added new tokenizer type (debugging) --- models/components/tokenizers/bpe_retrain.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/models/components/tokenizers/bpe_retrain.py b/models/components/tokenizers/bpe_retrain.py index ea8cb62e..74f1e899 100644 --- a/models/components/tokenizers/bpe_retrain.py +++ b/models/components/tokenizers/bpe_retrain.py @@ -120,7 +120,15 @@ def get_training_corpus(): tokenizer = old_tokenizer.train_new_from_iterator(training_corpus, self.vocab_size-3) # add special tokens - tokenizer.add_special_tokens(self.special_tokens) + tokenizer.add_special_tokens( + { + 'additional_special_tokens': [ + "<|pad|>", + "<|endoftext|>", + "<|unk|>" + ] + } + ) def _save(self): """ From 9de54bb25e24a14ae0392e75e1975d07fcad2d16 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 4 Sep 2024 00:11:09 +0700 Subject: [PATCH 060/209] added new tokenizer type (debugging) --- models/components/tokenizers/bpe_retrain.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/models/components/tokenizers/bpe_retrain.py b/models/components/tokenizers/bpe_retrain.py index 74f1e899..91484dae 100644 --- a/models/components/tokenizers/bpe_retrain.py +++ b/models/components/tokenizers/bpe_retrain.py @@ -117,10 +117,10 @@ def get_training_corpus(): training_corpus = get_training_corpus() old_tokenizer = AutoTokenizer.from_pretrained("gpt2") - tokenizer = old_tokenizer.train_new_from_iterator(training_corpus, self.vocab_size-3) + self.tokenizer = old_tokenizer.train_new_from_iterator(training_corpus, self.vocab_size-3) # add special tokens - tokenizer.add_special_tokens( + self.tokenizer.add_special_tokens( { 'additional_special_tokens': [ "<|pad|>", From d3428bee3a3a776c9828845540e0e540137dada0 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 4 Sep 2024 00:12:43 +0700 Subject: [PATCH 061/209] added new tokenizer type (debugging) --- models/components/tokenizers/bpe_retrain.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/models/components/tokenizers/bpe_retrain.py b/models/components/tokenizers/bpe_retrain.py index 91484dae..43805f45 100644 --- a/models/components/tokenizers/bpe_retrain.py +++ b/models/components/tokenizers/bpe_retrain.py @@ -139,7 +139,8 @@ def _save(self): vocab_size=self.vocab_size, dataset_name=self.dataset_name, ) - self.tokenizer.save(tokenizer_path) + #self.tokenizer.save(tokenizer_path) + self.tokenizer.save_pretrained(tokenizer_path) def _load(self): """ @@ -150,6 +151,6 @@ def _load(self): vocab_size=self.vocab_size, dataset_name=self.dataset_name, ) - self.tokenizer = Tokenizer.from_file(tokenizer_path) + self.tokenizer = AutoTokenizer.from_pretrained(tokenizer_path) #self.tokenizer.add_special_tokens(self.special_tokens) self.vocab = {id: token for token, id in self.tokenizer.get_vocab().items()} \ No newline at end of file From 076faf04c02999b351125c8a6a1fd3a0e627aeec Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 4 Sep 2024 00:13:48 +0700 Subject: [PATCH 062/209] added new tokenizer type (debugging) --- models/components/tokenizers/bpe_retrain.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/components/tokenizers/bpe_retrain.py b/models/components/tokenizers/bpe_retrain.py index 43805f45..9b03bdc0 100644 --- a/models/components/tokenizers/bpe_retrain.py +++ b/models/components/tokenizers/bpe_retrain.py @@ -58,7 +58,7 @@ def encode(self, text: str) -> List[int]: Returns: List[int]: The list of token ids. """ - return self.tokenizer.encode(text).ids + return self.tokenizer.encode(text)#.ids def encode_batch(self, texts: List[str]) -> List[List[int]]: """ From 6368e1219d8fdb1dd43d9d09bcf61ae0fafe3970 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 4 Sep 2024 00:15:35 +0700 Subject: [PATCH 063/209] added new tokenizer type (debugging) --- models/components/tokenizers/bpe_retrain.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/models/components/tokenizers/bpe_retrain.py b/models/components/tokenizers/bpe_retrain.py index 9b03bdc0..9f01aaa7 100644 --- a/models/components/tokenizers/bpe_retrain.py +++ b/models/components/tokenizers/bpe_retrain.py @@ -28,14 +28,14 @@ def __init__(self, vocab_size: int, dataset_name: str): super().__init__() self.vocab_size = vocab_size self.dataset_name = dataset_name - self.special_tokens = { + """self.special_tokens = { "<|pad|>": vocab_size - 3, "<|endoftext|>": vocab_size - 2, "<|unk|>": vocab_size - 1, } self.pad_token = self.special_tokens["<|pad|>"] self.eot_token = self.special_tokens["<|endoftext|>"] - self.unk_token = self.special_tokens["<|unk|>"] + self.unk_token = self.special_tokens["<|unk|>"]""" assert self.vocab_size >= 256 + len(self.special_tokens), \ f"Vocab size too small! Must be > {256 + len(self.special_tokens)})" @@ -48,6 +48,10 @@ def __init__(self, vocab_size: int, dataset_name: str): else: self._load() + self.pad_token = self.tokenizer.token_to_id("<|pad|>") + self.eot_token = self.tokenizer.token_to_id("<|endoftext|>") + self.unk_token = self.tokenizer.token_to_id("<|unk|>") + def encode(self, text: str) -> List[int]: """ Encode the text into BPE tokens. From c97d03b8cbd96c0aeffa67a6d46d28c953b749d5 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Thu, 5 Sep 2024 06:15:44 +0700 Subject: [PATCH 064/209] added c-proj sharing --- configs/full_configs/baseline-shared.yaml | 86 +++++++++++++++++++++++ models/build_models.py | 5 +- models/core_models.py | 22 ++++++ 3 files changed, 112 insertions(+), 1 deletion(-) create mode 100644 configs/full_configs/baseline-shared.yaml diff --git a/configs/full_configs/baseline-shared.yaml b/configs/full_configs/baseline-shared.yaml new file mode 100644 index 00000000..b87f57f6 --- /dev/null +++ b/configs/full_configs/baseline-shared.yaml @@ -0,0 +1,86 @@ +model: + core_model: + core_model_type: generic_cproj_shared + num_layers: 10 + ffn: + ffn_type: swiglu + ffn_dim: 1320 + normalization: rms_norm + bias: false + attn: + attn_type: generic + num_heads: 16 + normalization: rms_norm + group_size: 4 + bias: false + is_causal: true + embedder: + tokenizer_type: gpt2 + embedding_model_type: generic + dataset_name: stlm + lm_head: + normalization: rms_norm + bias: false + lm_head_type: generic + hidden_dim: 512 + context_window: 512 + vocab_size: 50257 + model_shell_type: standard + embedding_weight_tying: true + positional_encoding_type: rope +trainer: + dropout_scheduler: + dropout_type: constant + dropout: 0.1 + dataset: openwebtext + training: + trainer_type: base_trainer + batch_size: 24 + gradient_accumulation_steps: 20 + max_iters: 30000 + lr_decay_iters: 30000 + warmup_iters: 5000 + eval_interval: 2000 + log_interval: 10 + eval_iters: 500 + checkpoint_interval: 1000000000.0 + run_profiler: false + eval: + - benchmarks: + - "winograd" + - "hellaswag" + - "arc" + - "mmlu" + - "blimp" + num_samples: 1000 + evaluator: "mcq" + - evaluator: "prog" + optimizer: + name: nanoGPTadamW + lr: 0.0006 + min_lr: 6.0e-05 + weight_decay: 0.1 + beta1: 0.9 + beta2: 0.95 + grad_clip: 1.0 + decay_lr: true + warmup_iters: 5000 + lr_scheduler: + name: cosine + dataloader: + name: standard + datasampling: + name: standard + loss_fn: + name: cross_entropy +general: + logging: + wandb_log: false + wandb_project: SuperTinyLanguageModels + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/models/build_models.py b/models/build_models.py index 36236091..5b5a0c73 100644 --- a/models/build_models.py +++ b/models/build_models.py @@ -14,6 +14,8 @@ from models.experimental.next_thought.core_models import BaselineCoreModel, Conv1dCoreModel from models.model_heads import AutoregressiveLMHead from models.model_shell import ModelShell +from models.core_models import GenericCProjSharedTransfomer + def build_model(model_cfg=None, checkpoint=None): @@ -70,7 +72,8 @@ def build_embedding_model(model_cfg): "generic_ffn_sharing": GenericFFNSharedTransfomer, "hf_core": HFTransformerCore, "next_thought_baseline": BaselineCoreModel, - "conv": Conv1dCoreModel + "conv": Conv1dCoreModel, + "generic_cproj_shared": GenericCProjSharedTransfomer, } diff --git a/models/core_models.py b/models/core_models.py index 96ec2b34..0882047f 100644 --- a/models/core_models.py +++ b/models/core_models.py @@ -76,3 +76,25 @@ def __init__(self, model_cfg): ] target_module.weight = module.weight target_module.bias = module.bias + +class GenericCProjSharedTransfomer(GenericTransformer): + """ + Generic Transformer Class that shares the weights + between all CProj blocks + """ + + def __init__(self, model_cfg): + super().__init__(model_cfg=model_cfg) + + # share the weights between transformer blocks + cproj_0 = self.transformer.h[0].attn.c_proj + + for i in range(1, len(self.transformer.h)): + # find all linear layers in the cproj subnets and tie them to the first layer + for name, module in cproj_0.named_modules(): + if isinstance(module, torch.nn.Linear): + target_module = dict(self.transformer.h[i].attn.c_proj.named_modules())[ + name + ] + target_module.weight = module.weight + target_module.bias = module.bias \ No newline at end of file From 42870efd87346b704f8ba648ec47e95b2bb02d05 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sat, 7 Sep 2024 06:03:23 +0700 Subject: [PATCH 065/209] added bigger runs --- configs/full_configs/baseline-shared.yaml | 30 ++++---- configs/full_configs/baseline-small.yaml | 88 +++++++++++++++++++++++ models/build_models.py | 8 +++ models/core_models.py | 34 ++++++++- models/experimental/weight_sharing.py | 74 +++++++++++++++++++ trainers/utils.py | 1 + 6 files changed, 220 insertions(+), 15 deletions(-) create mode 100644 configs/full_configs/baseline-small.yaml create mode 100644 models/experimental/weight_sharing.py diff --git a/configs/full_configs/baseline-shared.yaml b/configs/full_configs/baseline-shared.yaml index b87f57f6..78e5e9c4 100644 --- a/configs/full_configs/baseline-shared.yaml +++ b/configs/full_configs/baseline-shared.yaml @@ -1,10 +1,12 @@ model: + k_interior_layers: 2 + lora_rank: 96 core_model: - core_model_type: generic_cproj_shared - num_layers: 10 + core_model_type: ffn_lora_sharing + num_layers: 18 ffn: ffn_type: swiglu - ffn_dim: 1320 + ffn_dim: 1650 normalization: rms_norm bias: false attn: @@ -17,33 +19,33 @@ model: embedder: tokenizer_type: gpt2 embedding_model_type: generic - dataset_name: stlm + dataset_name: en_wiki lm_head: normalization: rms_norm bias: false lm_head_type: generic - hidden_dim: 512 + hidden_dim: 640 context_window: 512 - vocab_size: 50257 + vocab_size: 10000 model_shell_type: standard embedding_weight_tying: true positional_encoding_type: rope trainer: dropout_scheduler: dropout_type: constant - dropout: 0.1 - dataset: openwebtext + dropout: 0.0 + dataset: pints training: trainer_type: base_trainer batch_size: 24 gradient_accumulation_steps: 20 - max_iters: 30000 - lr_decay_iters: 30000 - warmup_iters: 5000 + max_iters: 150000 + lr_decay_iters: 150000 + warmup_iters: 20000 eval_interval: 2000 log_interval: 10 eval_iters: 500 - checkpoint_interval: 1000000000.0 + checkpoint_interval: 10000.0 run_profiler: false eval: - benchmarks: @@ -64,7 +66,7 @@ trainer: beta2: 0.95 grad_clip: 1.0 decay_lr: true - warmup_iters: 5000 + warmup_iters: 20000 lr_scheduler: name: cosine dataloader: @@ -75,7 +77,7 @@ trainer: name: cross_entropy general: logging: - wandb_log: false + wandb_log: true wandb_project: SuperTinyLanguageModels paths: output_dir: outputs diff --git a/configs/full_configs/baseline-small.yaml b/configs/full_configs/baseline-small.yaml new file mode 100644 index 00000000..16274c36 --- /dev/null +++ b/configs/full_configs/baseline-small.yaml @@ -0,0 +1,88 @@ +model: + k_interior_layers: 1 + lora_rank: 64 + core_model: + core_model_type: ffn_lora_sharing + num_layers: 6 + ffn: + ffn_type: swiglu + ffn_dim: 1072 + normalization: rms_norm + bias: false + attn: + attn_type: generic + num_heads: 16 + normalization: rms_norm + group_size: 4 + bias: false + is_causal: true + embedder: + tokenizer_type: bpe-retrain + embedding_model_type: generic + dataset_name: en_wiki + lm_head: + normalization: rms_norm + bias: false + lm_head_type: generic + hidden_dim: 416 + context_window: 512 + vocab_size: 4000 + model_shell_type: standard + embedding_weight_tying: true + positional_encoding_type: rope +trainer: + dropout_scheduler: + dropout_type: constant + dropout: 0.0 + dataset: pints + training: + trainer_type: base_trainer + batch_size: 24 + gradient_accumulation_steps: 20 + max_iters: 80000 + lr_decay_iters: 80000 + warmup_iters: 10000 + eval_interval: 2000 + log_interval: 10 + eval_iters: 500 + checkpoint_interval: 10000.0 + run_profiler: false + eval: + - benchmarks: + - "winograd" + - "hellaswag" + - "arc" + - "mmlu" + - "blimp" + num_samples: 1000 + evaluator: "mcq" + - evaluator: "prog" + optimizer: + name: nanoGPTadamW + lr: 0.0006 + min_lr: 6.0e-05 + weight_decay: 0.1 + beta1: 0.9 + beta2: 0.95 + grad_clip: 1.0 + decay_lr: true + warmup_iters: 10000 + lr_scheduler: + name: cosine + dataloader: + name: standard + datasampling: + name: standard + loss_fn: + name: cross_entropy +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/models/build_models.py b/models/build_models.py index 5b5a0c73..58c9eff0 100644 --- a/models/build_models.py +++ b/models/build_models.py @@ -15,7 +15,12 @@ from models.model_heads import AutoregressiveLMHead from models.model_shell import ModelShell from models.core_models import GenericCProjSharedTransfomer +from models.core_models import GenericCProjFFNSharedTransfomer +from models.experimental.weight_sharing import ( + SharedInteriorFFNLoraAndCProj, + SharedInteriorFFNLora, +) def build_model(model_cfg=None, checkpoint=None): @@ -74,6 +79,9 @@ def build_embedding_model(model_cfg): "next_thought_baseline": BaselineCoreModel, "conv": Conv1dCoreModel, "generic_cproj_shared": GenericCProjSharedTransfomer, + "generic_ffn_qproj_sharing": GenericCProjFFNSharedTransfomer, + "ffn_lora_sharing": SharedInteriorFFNLora, + "ffn_lora_sharing": SharedInteriorFFNLoraAndCProj, } diff --git a/models/core_models.py b/models/core_models.py index 0882047f..222551c8 100644 --- a/models/core_models.py +++ b/models/core_models.py @@ -97,4 +97,36 @@ def __init__(self, model_cfg): name ] target_module.weight = module.weight - target_module.bias = module.bias \ No newline at end of file + target_module.bias = module.bias + + +class GenericCProjFFNSharedTransfomer(GenericTransformer): + """ + Share the weights between the CProj and FFN blocks + """ + + def __init__(self, model_cfg): + super().__init__(model_cfg=model_cfg) + + # share the weights between transformer blocks + cproj_0 = self.transformer.h[0].attn.c_proj + ffn_0 = self.transformer.h[0].ffn + + for i in range(1, len(self.transformer.h)): + # find all linear layers in the cproj subnets and tie them to the first layer + for name, module in cproj_0.named_modules(): + if isinstance(module, torch.nn.Linear): + target_module = dict(self.transformer.h[i].attn.c_proj.named_modules())[ + name + ] + target_module.weight = module.weight + target_module.bias = module.bias + + # find all linear layers in the ffn subnets and tie them to the first layer + for name, module in ffn_0.named_modules(): + if isinstance(module, torch.nn.Linear): + target_module = dict(self.transformer.h[i].ffn.named_modules())[ + name + ] + target_module.weight = module.weight + target_module.bias = module.bias diff --git a/models/experimental/weight_sharing.py b/models/experimental/weight_sharing.py new file mode 100644 index 00000000..19a777c6 --- /dev/null +++ b/models/experimental/weight_sharing.py @@ -0,0 +1,74 @@ +from models.core_models import GenericTransformer +import torch +from torch import nn +# params: k_interior_layers, lora_rank + +class LoRA(nn.Module): + def __init__(self, linear_layer, lora_rank): + """Wraps the linear layer with LoRA""" + super().__init__() + self.linear_layer = linear_layer + self.lora_rank = lora_rank + self.U = nn.Linear(linear_layer.in_features, lora_rank) + self.V = nn.Linear(lora_rank, linear_layer.out_features) + + def forward(self, x): + """Forward pass through the linear layer with LoRA""" + # compute the LoRA weight matrix + return self.linear_layer(x) + self.V(self.U(x)) + +class SharedInteriorFFNLora(GenericTransformer): + def __init__(self, model_cfg): + super().__init__(model_cfg) + self.k_interior_layers = model_cfg["k_interior_layers"] + self.lora_rank = model_cfg["lora_rank"] + # share the weights between transformer blocks in layers 1+k_interior_layers to D-k_interior_layers + base_layer = 1 + self.k_interior_layers + ffn_0 = self.transformer.h[base_layer].ffn + shared_weights = {} + for name, module in ffn_0.named_modules(): + if isinstance(module, torch.nn.Linear): + shared_weights[name] = module.weight + for i in range(1 + self.k_interior_layers, len(self.transformer.h) - self.k_interior_layers): + for name, module in self.transformer.h[i].ffn.named_modules(): + if isinstance(module, torch.nn.Linear): + module.weight = shared_weights[name] + # wrap the linear layer with LoRA + if self.lora_rank is not None: + setattr(self.transformer.h[i].ffn, name, LoRA(module, self.lora_rank)) + +class SharedInteriorFFNLoraAndCProj(GenericTransformer): + def __init__(self, model_cfg): + super().__init__(model_cfg) + self.k_interior_layers = model_cfg["k_interior_layers"] + self.lora_rank = model_cfg["lora_rank"] + # share the weights between transformer blocks in layers 1+k_interior_layers to D-k_interior_layers + base_layer = 1 + self.k_interior_layers + ffn_0 = self.transformer.h[base_layer].ffn + shared_weights = {} + for name, module in ffn_0.named_modules(): + if isinstance(module, torch.nn.Linear): + shared_weights[name] = module.weight + for i in range(1 + self.k_interior_layers, len(self.transformer.h) - self.k_interior_layers): + for name, module in self.transformer.h[i].ffn.named_modules(): + if isinstance(module, torch.nn.Linear): + module.weight = shared_weights[name] + # wrap the linear layer with LoRA + if self.lora_rank is not None: + setattr(self.transformer.h[i].ffn, name, LoRA(module, self.lora_rank)) + + # share the c_proj for interior layers + cproj_0 = self.transformer.h[base_layer].attn.c_proj + shared_weights = {} + for name, module in cproj_0.named_modules(): + if isinstance(module, torch.nn.Linear): + shared_weights[name] = module.weight + for i in range(1 + self.k_interior_layers, len(self.transformer.h) - self.k_interior_layers): + for name, module in self.transformer.h[i].attn.c_proj.named_modules(): + if isinstance(module, torch.nn.Linear): + module.weight = shared_weights[name] + # wrap the linear layer with LoRA + if self.lora_rank is not None: + setattr(self.transformer.h[i].attn, name, LoRA(module, self.lora_rank)) + + \ No newline at end of file diff --git a/trainers/utils.py b/trainers/utils.py index 5343a6d4..b46bbeb4 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -129,6 +129,7 @@ def load_competition_math_dataset(): "openwebtext": lambda: load_dataset("Skylion007/openwebtext", trust_remote_code=True), "github-code": lambda: load_github_code_dataset(), "competition_math": lambda: load_competition_math_dataset(), + "pints": lambda: load_dataset("pints-ai/Expository-Prose-V1"), } From 1b579854613404972438b9de007df43d64fb62be Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sat, 7 Sep 2024 06:05:19 +0700 Subject: [PATCH 066/209] added bigger runs --- models/components/tokenizers/bpe_retrain.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/models/components/tokenizers/bpe_retrain.py b/models/components/tokenizers/bpe_retrain.py index 9f01aaa7..4aab5dcf 100644 --- a/models/components/tokenizers/bpe_retrain.py +++ b/models/components/tokenizers/bpe_retrain.py @@ -37,8 +37,8 @@ def __init__(self, vocab_size: int, dataset_name: str): self.eot_token = self.special_tokens["<|endoftext|>"] self.unk_token = self.special_tokens["<|unk|>"]""" - assert self.vocab_size >= 256 + len(self.special_tokens), \ - f"Vocab size too small! Must be > {256 + len(self.special_tokens)})" + #assert self.vocab_size >= 256 + len(self.special_tokens), \ + # f"Vocab size too small! Must be > {256 + len(self.special_tokens)})" if not utils.check_if_tokenizer_exists( tokenizer_type="bpe", vocab_size=vocab_size, dataset_name=dataset_name From d9766f9c4d2040e7f60bec7c39e1b9b5e307ed2f Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sat, 7 Sep 2024 06:13:18 +0700 Subject: [PATCH 067/209] added bigger runs --- configs/full_configs/baseline-shared.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/configs/full_configs/baseline-shared.yaml b/configs/full_configs/baseline-shared.yaml index 78e5e9c4..c8fc2191 100644 --- a/configs/full_configs/baseline-shared.yaml +++ b/configs/full_configs/baseline-shared.yaml @@ -17,7 +17,7 @@ model: bias: false is_causal: true embedder: - tokenizer_type: gpt2 + tokenizer_type: bpe-retrain embedding_model_type: generic dataset_name: en_wiki lm_head: From 034f64d82d69b212a4bfb594695f1d67ff756400 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sat, 7 Sep 2024 06:24:46 +0700 Subject: [PATCH 068/209] added bigger runs --- models/components/tokenizers/bpe_retrain.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/models/components/tokenizers/bpe_retrain.py b/models/components/tokenizers/bpe_retrain.py index 4aab5dcf..b0286923 100644 --- a/models/components/tokenizers/bpe_retrain.py +++ b/models/components/tokenizers/bpe_retrain.py @@ -47,10 +47,9 @@ def __init__(self, vocab_size: int, dataset_name: str): self._save() else: self._load() - - self.pad_token = self.tokenizer.token_to_id("<|pad|>") - self.eot_token = self.tokenizer.token_to_id("<|endoftext|>") - self.unk_token = self.tokenizer.token_to_id("<|unk|>") + self.pad_token = self.tokenizer.decode("<|pad|>") + self.eot_token = self.tokenizer.decode("<|endoftext|>") + self.unk_token = self.tokenizer.decode("<|unk|>") def encode(self, text: str) -> List[int]: """ From 644a4739a9340ed991be0b82e0c470634cc99a30 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sat, 7 Sep 2024 06:26:15 +0700 Subject: [PATCH 069/209] added bigger runs --- models/components/tokenizers/bpe_retrain.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/models/components/tokenizers/bpe_retrain.py b/models/components/tokenizers/bpe_retrain.py index b0286923..2433a3b3 100644 --- a/models/components/tokenizers/bpe_retrain.py +++ b/models/components/tokenizers/bpe_retrain.py @@ -47,9 +47,9 @@ def __init__(self, vocab_size: int, dataset_name: str): self._save() else: self._load() - self.pad_token = self.tokenizer.decode("<|pad|>") - self.eot_token = self.tokenizer.decode("<|endoftext|>") - self.unk_token = self.tokenizer.decode("<|unk|>") + self.pad_token = self.tokenizer.encode("<|pad|>") + self.eot_token = self.tokenizer.encode("<|endoftext|>") + self.unk_token = self.tokenizer.encode("<|unk|>") def encode(self, text: str) -> List[int]: """ From 85369c2d80d1456d2d88d2100be8c8ad644d2c6f Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sat, 7 Sep 2024 07:03:28 +0700 Subject: [PATCH 070/209] added bigger runs --- models/components/tokenizers/bpe_retrain.py | 1 + 1 file changed, 1 insertion(+) diff --git a/models/components/tokenizers/bpe_retrain.py b/models/components/tokenizers/bpe_retrain.py index 2433a3b3..c6c06903 100644 --- a/models/components/tokenizers/bpe_retrain.py +++ b/models/components/tokenizers/bpe_retrain.py @@ -48,6 +48,7 @@ def __init__(self, vocab_size: int, dataset_name: str): else: self._load() self.pad_token = self.tokenizer.encode("<|pad|>") + input(self.pad_token) self.eot_token = self.tokenizer.encode("<|endoftext|>") self.unk_token = self.tokenizer.encode("<|unk|>") From ce05eb1fadbbaa697e8a2d9709833e0bd011a02b Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sat, 7 Sep 2024 07:03:59 +0700 Subject: [PATCH 071/209] added bigger runs --- models/components/tokenizers/bpe_retrain.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/models/components/tokenizers/bpe_retrain.py b/models/components/tokenizers/bpe_retrain.py index c6c06903..ea6cb660 100644 --- a/models/components/tokenizers/bpe_retrain.py +++ b/models/components/tokenizers/bpe_retrain.py @@ -47,10 +47,9 @@ def __init__(self, vocab_size: int, dataset_name: str): self._save() else: self._load() - self.pad_token = self.tokenizer.encode("<|pad|>") - input(self.pad_token) - self.eot_token = self.tokenizer.encode("<|endoftext|>") - self.unk_token = self.tokenizer.encode("<|unk|>") + self.pad_token = self.tokenizer.encode("<|pad|>")[0] + self.eot_token = self.tokenizer.encode("<|endoftext|>")[0] + self.unk_token = self.tokenizer.encode("<|unk|>")[0] def encode(self, text: str) -> List[int]: """ From 0538690e8aafe2a1fbfd9605aa041ce4af4f896e Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sat, 7 Sep 2024 22:30:58 +0700 Subject: [PATCH 072/209] debugging --- models/components/tokenizers/bpe_retrain.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/models/components/tokenizers/bpe_retrain.py b/models/components/tokenizers/bpe_retrain.py index ea6cb660..fbe20dd5 100644 --- a/models/components/tokenizers/bpe_retrain.py +++ b/models/components/tokenizers/bpe_retrain.py @@ -41,7 +41,7 @@ def __init__(self, vocab_size: int, dataset_name: str): # f"Vocab size too small! Must be > {256 + len(self.special_tokens)})" if not utils.check_if_tokenizer_exists( - tokenizer_type="bpe", vocab_size=vocab_size, dataset_name=dataset_name + tokenizer_type="bpe-retrain", vocab_size=vocab_size, dataset_name=dataset_name ): self._train_tokenizer() self._save() @@ -150,7 +150,7 @@ def _load(self): Load the tokenizer from a .json file. """ _, tokenizer_path = utils.get_tokenizer_path( - tokenizer_type="bpe", + tokenizer_type="bpe-retrain", vocab_size=self.vocab_size, dataset_name=self.dataset_name, ) From 06a29129ffb9b62f26cfb6d67d06ca48574b9ac3 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sat, 7 Sep 2024 23:04:30 +0700 Subject: [PATCH 073/209] debugging --- configs/full_configs/baseline-shared.yaml | 1 + models/components/tokenizers/bpe_retrain.py | 14 ++------------ models/components/tokenizers/utils.py | 8 ++++++-- train.py | 3 +++ 4 files changed, 12 insertions(+), 14 deletions(-) diff --git a/configs/full_configs/baseline-shared.yaml b/configs/full_configs/baseline-shared.yaml index c8fc2191..6683a3ca 100644 --- a/configs/full_configs/baseline-shared.yaml +++ b/configs/full_configs/baseline-shared.yaml @@ -84,5 +84,6 @@ general: data_dir: data checkpoint_dir: checkpoints eval_dir: evals + tokenizer_dir: models/components/tokenizers/tokenizer_models seed: 489 device: cuda diff --git a/models/components/tokenizers/bpe_retrain.py b/models/components/tokenizers/bpe_retrain.py index fbe20dd5..a49973d0 100644 --- a/models/components/tokenizers/bpe_retrain.py +++ b/models/components/tokenizers/bpe_retrain.py @@ -28,17 +28,7 @@ def __init__(self, vocab_size: int, dataset_name: str): super().__init__() self.vocab_size = vocab_size self.dataset_name = dataset_name - """self.special_tokens = { - "<|pad|>": vocab_size - 3, - "<|endoftext|>": vocab_size - 2, - "<|unk|>": vocab_size - 1, - } - self.pad_token = self.special_tokens["<|pad|>"] - self.eot_token = self.special_tokens["<|endoftext|>"] - self.unk_token = self.special_tokens["<|unk|>"]""" - - #assert self.vocab_size >= 256 + len(self.special_tokens), \ - # f"Vocab size too small! Must be > {256 + len(self.special_tokens)})" + if not utils.check_if_tokenizer_exists( tokenizer_type="bpe-retrain", vocab_size=vocab_size, dataset_name=dataset_name @@ -138,7 +128,7 @@ def _save(self): Save the tokenizer """ _, tokenizer_path = utils.get_tokenizer_path( - tokenizer_type="bpe", + tokenizer_type="bpe-retrain", vocab_size=self.vocab_size, dataset_name=self.dataset_name, ) diff --git a/models/components/tokenizers/utils.py b/models/components/tokenizers/utils.py index 946dba6f..dabef659 100644 --- a/models/components/tokenizers/utils.py +++ b/models/components/tokenizers/utils.py @@ -9,14 +9,18 @@ import hydra # to get the absolute path to the tokenizer +import os + def get_tokenizer_path(tokenizer_type, vocab_size, dataset_name): """ Get the path to the tokenizer. """ + # Get the project root directory + project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..')) + tokenizer_folder = os.path.join( - "models", "components", "tokenizers", "tokenizer_models" + project_root, "components", "tokenizers", "tokenizer_models" ) - tokenizer_folder = hydra.utils.to_absolute_path(tokenizer_folder) tokenizer_full_path = os.path.join( tokenizer_folder, f"{tokenizer_type}_{dataset_name}_{vocab_size}.model" ) diff --git a/train.py b/train.py index 2a6b072c..b81a6107 100644 --- a/train.py +++ b/train.py @@ -81,6 +81,9 @@ def main(cfg): cfg["general"]["paths"]["eval_dir"] = hydra.utils.to_absolute_path( cfg["general"]["paths"]["eval_dir"] ) + cfg["general"]["paths"]["tokenizer_dir"] = hydra.utils.to_absolute_path( + cfg["general"]["paths"]["tokenizer_dir"] + ) create_folder_structure(path_config=cfg["general"]["paths"]) From 8b7ceabe4249f94e00cb567904a24202664fb0cb Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sat, 7 Sep 2024 23:06:36 +0700 Subject: [PATCH 074/209] debugging --- train.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/train.py b/train.py index b81a6107..2a6b072c 100644 --- a/train.py +++ b/train.py @@ -81,9 +81,6 @@ def main(cfg): cfg["general"]["paths"]["eval_dir"] = hydra.utils.to_absolute_path( cfg["general"]["paths"]["eval_dir"] ) - cfg["general"]["paths"]["tokenizer_dir"] = hydra.utils.to_absolute_path( - cfg["general"]["paths"]["tokenizer_dir"] - ) create_folder_structure(path_config=cfg["general"]["paths"]) From b74e21a9ad414d0135b2a980f8e71108b840b084 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Sat, 7 Sep 2024 23:09:53 +0700 Subject: [PATCH 075/209] debugging --- trainers/base_trainer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index b3229f6a..46c94b66 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -45,7 +45,7 @@ def __init__( self.model = model if gpu_id is not None: # using ddp self.dist = True - self.DDP_model = DDP(self.model, device_ids=[gpu_id]) + self.DDP_model = DDP(self.model, device_ids=[gpu_id], find_unused_parameters=True) else: self.dist = False self.DDP_model = model From 4ecedbedc9144967ec9086903bf77f7095e0b447 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 11:57:11 +0700 Subject: [PATCH 076/209] changed LoRA implementation and added MoE LoRA --- .../full_configs/baseline-small-continue.yaml | 89 +++++++++++++++ models/build_models.py | 4 +- models/experimental/moe_weight_sharing.py | 70 ++++++++++++ models/experimental/weight_sharing.py | 106 +++++++++--------- train.py | 21 +++- trainers/base_trainer.py | 4 +- 6 files changed, 233 insertions(+), 61 deletions(-) create mode 100644 configs/full_configs/baseline-small-continue.yaml create mode 100644 models/experimental/moe_weight_sharing.py diff --git a/configs/full_configs/baseline-small-continue.yaml b/configs/full_configs/baseline-small-continue.yaml new file mode 100644 index 00000000..39bab686 --- /dev/null +++ b/configs/full_configs/baseline-small-continue.yaml @@ -0,0 +1,89 @@ +model: + k_interior_layers: 1 + lora_rank: 64 + checkpoint_path: ckpt_70000.pt + core_model: + core_model_type: ffn_lora_sharing + num_layers: 6 + ffn: + ffn_type: swiglu + ffn_dim: 1072 + normalization: rms_norm + bias: false + attn: + attn_type: generic + num_heads: 16 + normalization: rms_norm + group_size: 4 + bias: false + is_causal: true + embedder: + tokenizer_type: bpe-retrain + embedding_model_type: generic + dataset_name: en_wiki + lm_head: + normalization: rms_norm + bias: false + lm_head_type: generic + hidden_dim: 416 + context_window: 512 + vocab_size: 4000 + model_shell_type: standard + embedding_weight_tying: true + positional_encoding_type: rope +trainer: + dropout_scheduler: + dropout_type: constant + dropout: 0.0 + dataset: simple_en_wiki + training: + trainer_type: base_trainer + batch_size: 24 + gradient_accumulation_steps: 20 + max_iters: 80000 + lr_decay_iters: 80000 + warmup_iters: 10000 + eval_interval: 2000 + log_interval: 10 + eval_iters: 500 + checkpoint_interval: 10000.0 + run_profiler: false + eval: + - benchmarks: + - "winograd" + - "hellaswag" + - "arc" + - "mmlu" + - "blimp" + num_samples: 1000 + evaluator: "mcq" + - evaluator: "prog" + optimizer: + name: nanoGPTadamW + lr: 0.0006 + min_lr: 6.0e-05 + weight_decay: 0.1 + beta1: 0.9 + beta2: 0.95 + grad_clip: 1.0 + decay_lr: true + warmup_iters: 10000 + lr_scheduler: + name: cosine + dataloader: + name: standard + datasampling: + name: standard + loss_fn: + name: cross_entropy +general: + logging: + wandb_log: false + wandb_project: SuperTinyLanguageModels + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cpu diff --git a/models/build_models.py b/models/build_models.py index 58c9eff0..ace24e61 100644 --- a/models/build_models.py +++ b/models/build_models.py @@ -43,12 +43,14 @@ def build_model(model_cfg=None, checkpoint=None): # load the model weights model.load_state_dict(checkpoint["model"]) + current_iter = checkpoint["iter_num"] else: # initialize model model = initialize_model(model_cfg) + current_iter = 0 - return model + return model, current_iter EMBEDDING_MODEL_DICT = { diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py new file mode 100644 index 00000000..be8422a1 --- /dev/null +++ b/models/experimental/moe_weight_sharing.py @@ -0,0 +1,70 @@ +""" +Simple LoRA FFN weight sharing but with softmax-weighted experts. +""" +import torch +import math + +class MoELoRA(torch.nn.Module): + def __init__( + self, + in_features: int, + out_features: int, + lora_rank: int, + n_experts: int, + lora_alpha: float=1.0 + ): + """ + LoRA MoE implementation + + Args: + in_features (int): Number of input features. + out_features (int): Number of output features. + lora_rank (int): The rank of the LoRA matrices. + n_experts (int): Number of experts. + lora_alpha (float): Scaling factor for the LoRA update. + """ + super().__init__() + self.in_features = in_features + self.out_features = out_features + self.lora_rank = lora_rank + self.n_experts = n_experts + self.lora_alpha = lora_alpha + self.scaling = self.lora_alpha / self.lora_rank + + # Initialize main weight matrix + self.weight = torch.nn.Parameter(torch.empty((out_features, in_features))) + self.bias = torch.nn.Parameter(torch.zeros(out_features)) + + # Initialize gate linear + self.gate_linear = torch.nn.Linear(in_features, n_experts) + + # Initialize LoRA matrices + self.lora_experts_U = torch.nn.ParameterList([ + torch.nn.Parameter(torch.empty((lora_rank, in_features))) + for _ in range(n_experts) + ]) + self.lora_experts_V = torch.nn.ParameterList([ + torch.nn.Parameter(torch.zeros((out_features, lora_rank))) + for _ in range(n_experts) + ]) + + self.reset_parameters() + + def reset_parameters(self): + torch.nn.init.kaiming_uniform_(self.weight, a=math.sqrt(5)) + self.gate_linear.reset_parameters() + for i in range(self.n_experts): + torch.nn.init.kaiming_uniform_(self.lora_experts_U[i], a=math.sqrt(5)) + # V is already initialized to zeros + + def forward(self, x: torch.Tensor) -> torch.Tensor: + """ Forward pass """ + gate = torch.nn.functional.softmax(self.gate_linear(x), dim=-1) + + lora_contribution = torch.zeros_like(self.weight) + for i in range(self.n_experts): + expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] + lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution + + effective_weight = self.weight + lora_contribution * self.scaling + return torch.nn.functional.linear(x, effective_weight, self.bias) \ No newline at end of file diff --git a/models/experimental/weight_sharing.py b/models/experimental/weight_sharing.py index 19a777c6..23d6ee82 100644 --- a/models/experimental/weight_sharing.py +++ b/models/experimental/weight_sharing.py @@ -1,74 +1,70 @@ -from models.core_models import GenericTransformer import torch -from torch import nn -# params: k_interior_layers, lora_rank +import torch.nn as nn +import math +from models.core_models import GenericTransformer class LoRA(nn.Module): - def __init__(self, linear_layer, lora_rank): - """Wraps the linear layer with LoRA""" + def __init__(self, linear_layer: nn.Linear, lora_rank: int, lora_alpha: float = 1.0): + """ + Wraps the linear layer with LoRA (Low-Rank Adaptation) + + Args: + linear_layer (nn.Linear): The linear layer to be wrapped + lora_rank (int): The rank of the LoRA matrices + lora_alpha (float): Scaling factor for the LoRA update + """ super().__init__() self.linear_layer = linear_layer self.lora_rank = lora_rank - self.U = nn.Linear(linear_layer.in_features, lora_rank) - self.V = nn.Linear(lora_rank, linear_layer.out_features) + self.lora_alpha = lora_alpha + self.scaling = self.lora_alpha / self.lora_rank + + self.lora_A = nn.Parameter(torch.empty((lora_rank, linear_layer.in_features))) + self.lora_B = nn.Parameter(torch.zeros((linear_layer.out_features, lora_rank))) + + self.reset_parameters() - def forward(self, x): + def reset_parameters(self): + nn.init.kaiming_uniform_(self.lora_A, a=math.sqrt(5)) + nn.init.zeros_(self.lora_B) + + def forward(self, x: torch.Tensor) -> torch.Tensor: """Forward pass through the linear layer with LoRA""" - # compute the LoRA weight matrix - return self.linear_layer(x) + self.V(self.U(x)) + return self.linear_layer(x) + (self.lora_B @ self.lora_A @ x.T).T * self.scaling class SharedInteriorFFNLora(GenericTransformer): def __init__(self, model_cfg): super().__init__(model_cfg) self.k_interior_layers = model_cfg["k_interior_layers"] self.lora_rank = model_cfg["lora_rank"] - # share the weights between transformer blocks in layers 1+k_interior_layers to D-k_interior_layers - base_layer = 1 + self.k_interior_layers - ffn_0 = self.transformer.h[base_layer].ffn - shared_weights = {} - for name, module in ffn_0.named_modules(): - if isinstance(module, torch.nn.Linear): - shared_weights[name] = module.weight - for i in range(1 + self.k_interior_layers, len(self.transformer.h) - self.k_interior_layers): - for name, module in self.transformer.h[i].ffn.named_modules(): - if isinstance(module, torch.nn.Linear): + self.lora_alpha = model_cfg.get("lora_alpha", 1.0) + + self._apply_weight_sharing_and_lora( + start_layer=1 + self.k_interior_layers, + end_layer=len(self.transformer.h) - self.k_interior_layers, + module_name='ffn' + ) + + def _apply_weight_sharing_and_lora(self, start_layer: int, end_layer: int, module_name: str): + base_module = getattr(self.transformer.h[start_layer], module_name) + shared_weights = {name: module.weight for name, module in base_module.named_modules() if isinstance(module, nn.Linear)} + + for i in range(start_layer, end_layer): + target_module = getattr(self.transformer.h[i], module_name) + for name, module in target_module.named_modules(): + if isinstance(module, nn.Linear): module.weight = shared_weights[name] - # wrap the linear layer with LoRA if self.lora_rank is not None: - setattr(self.transformer.h[i].ffn, name, LoRA(module, self.lora_rank)) + lora_module = LoRA(module, self.lora_rank, self.lora_alpha) + setattr(target_module, name, lora_module) -class SharedInteriorFFNLoraAndCProj(GenericTransformer): +class SharedInteriorFFNLoraAndCProj(SharedInteriorFFNLora): def __init__(self, model_cfg): super().__init__(model_cfg) - self.k_interior_layers = model_cfg["k_interior_layers"] - self.lora_rank = model_cfg["lora_rank"] - # share the weights between transformer blocks in layers 1+k_interior_layers to D-k_interior_layers - base_layer = 1 + self.k_interior_layers - ffn_0 = self.transformer.h[base_layer].ffn - shared_weights = {} - for name, module in ffn_0.named_modules(): - if isinstance(module, torch.nn.Linear): - shared_weights[name] = module.weight - for i in range(1 + self.k_interior_layers, len(self.transformer.h) - self.k_interior_layers): - for name, module in self.transformer.h[i].ffn.named_modules(): - if isinstance(module, torch.nn.Linear): - module.weight = shared_weights[name] - # wrap the linear layer with LoRA - if self.lora_rank is not None: - setattr(self.transformer.h[i].ffn, name, LoRA(module, self.lora_rank)) - - # share the c_proj for interior layers - cproj_0 = self.transformer.h[base_layer].attn.c_proj - shared_weights = {} - for name, module in cproj_0.named_modules(): - if isinstance(module, torch.nn.Linear): - shared_weights[name] = module.weight - for i in range(1 + self.k_interior_layers, len(self.transformer.h) - self.k_interior_layers): - for name, module in self.transformer.h[i].attn.c_proj.named_modules(): - if isinstance(module, torch.nn.Linear): - module.weight = shared_weights[name] - # wrap the linear layer with LoRA - if self.lora_rank is not None: - setattr(self.transformer.h[i].attn, name, LoRA(module, self.lora_rank)) - - \ No newline at end of file + + # Apply LoRA to c_proj in attention layers + self._apply_weight_sharing_and_lora( + start_layer=1 + self.k_interior_layers, + end_layer=len(self.transformer.h) - self.k_interior_layers, + module_name='attn.c_proj' + ) \ No newline at end of file diff --git a/train.py b/train.py index 2a6b072c..913ec3fe 100644 --- a/train.py +++ b/train.py @@ -28,7 +28,10 @@ def ddp_main(rank, world_size, cfg): print("Rank: ", rank, "World Size: ", world_size) ddp_setup(rank=rank, world_size=world_size) - model = build_model(model_cfg=cfg["model"]) + model, current_iter = build_model( + model_cfg=cfg["model"], + checkpoint=cfg["checkpoint_path"] + ) model.to(cfg["general"]["device"]) model.train() print(f"Rank{rank} Model built") @@ -37,7 +40,8 @@ def ddp_main(rank, world_size, cfg): trainer: base_trainer.BaseTrainer = build_trainer( cfg=cfg, model=model, - gpu_id=rank + gpu_id=rank, + current_iter=current_iter ) print(f"Rank{rank} Trainer built") # train the model @@ -54,7 +58,10 @@ def basic_main(cfg): """ Main function for single GPU training """ - model = build_model(model_cfg=cfg["model"]) + model, current_iter = build_model( + model_cfg=cfg["model"], + checkpoint=cfg["checkpoint_path"] + ) model.to(cfg["general"]["device"]) model.train() print("Model built") @@ -62,7 +69,8 @@ def basic_main(cfg): trainer = build_trainer( cfg=cfg, model=model, - gpu_id=None # disables DDP + gpu_id=None, # disables DDP + current_iter=current_iter ) # train the model @@ -82,6 +90,11 @@ def main(cfg): cfg["general"]["paths"]["eval_dir"] ) + # get absolute path for checkpoint + if cfg["model"]["checkpoint_path"] is not None: + cfg["model"]["checkpoint_path"] = hydra.utils.to_absolute_path(cfg["model"]["checkpoint_path"]) + + create_folder_structure(path_config=cfg["general"]["paths"]) # process data diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 46c94b66..9c200886 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -41,6 +41,7 @@ def __init__( gpu_id=None, lr_scheduler=None, dropout_scheduler=None, + current_iter=0, ) -> None: self.model = model if gpu_id is not None: # using ddp @@ -57,6 +58,7 @@ def __init__( self.val_dataloader = val_dataloader self.loss_fn = loss_fn self.cfg = cfg + self.current_iter = current_iter #assert self.cfg["trainer"]["training"]["gradient_accumulation_steps"] % torch.cuda.device_count() == 0, "Gradient Accumulation Steps must be divisible by the number of GPUs" self.gradient_accumulation_steps = cfg["trainer"]["training"][ "gradient_accumulation_steps" @@ -261,7 +263,7 @@ def _save_model(self, iter_num=0): def run_training_loop(self): """Run the training loop""" - for iter_num in range(self.cfg.trainer.training.max_iters): + for iter_num in range(self.current_iter, self.cfg.trainer.training.max_iters): start_time = time.time() if self.lr_scheduler is not None: lr = self.lr_scheduler.step(self.optimizer, iter_num) From c2dea2bf8b1d4f94732c2f63179cb9251030a37f Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 11:58:26 +0700 Subject: [PATCH 077/209] changed LoRA implementation and added MoE LoRA --- .gitignore | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.gitignore b/.gitignore index 02f6a92a..03c01546 100644 --- a/.gitignore +++ b/.gitignore @@ -168,3 +168,5 @@ cython_debug/ # and can be added to the global gitignore or merged into this file. For a more nuclear # option (not recommended) you can uncomment the following to ignore the entire idea folder. #.idea/ + +ckpt_* \ No newline at end of file From dc6e0d54097c6cd7ae2cb2ec656cf75d55b87089 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 11:58:57 +0700 Subject: [PATCH 078/209] changed LoRA implementation and added MoE LoRA --- .gitignore | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index 03c01546..1296aebf 100644 --- a/.gitignore +++ b/.gitignore @@ -169,4 +169,4 @@ cython_debug/ # option (not recommended) you can uncomment the following to ignore the entire idea folder. #.idea/ -ckpt_* \ No newline at end of file +*.pt \ No newline at end of file From ce858fc85ced10461e28a9677ca00f7c6fccabb3 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 12:19:45 +0700 Subject: [PATCH 079/209] updated --- .../added_tokens.json | 4 + .../bpe-retrain_en_wiki_4000.model/merges.txt | 3741 ++++++++ .../special_tokens_map.json | 28 + .../tokenizer.json | 7804 +++++++++++++++++ .../tokenizer_config.json | 40 + .../bpe-retrain_en_wiki_4000.model/vocab.json | 1 + 6 files changed, 11618 insertions(+) create mode 100644 models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/added_tokens.json create mode 100644 models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/merges.txt create mode 100644 models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/special_tokens_map.json create mode 100644 models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/tokenizer.json create mode 100644 models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/tokenizer_config.json create mode 100644 models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/vocab.json diff --git a/models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/added_tokens.json b/models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/added_tokens.json new file mode 100644 index 00000000..8afb87de --- /dev/null +++ b/models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/added_tokens.json @@ -0,0 +1,4 @@ +{ + "<|pad|>": 3997, + "<|unk|>": 3998 +} diff --git a/models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/merges.txt b/models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/merges.txt new file mode 100644 index 00000000..802a2ab8 --- /dev/null +++ b/models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/merges.txt @@ -0,0 +1,3741 @@ +#version: 0.2 +Ġ t +h e +i n +Ġ a +e r +o n +Ġt he +r e +a n +o r +e n +a t +e d +Ġ o +s t +a l +Ġ w +a r +i t +Ġo f +n d +Ġ in +Ġ s +Ġ f +e s +i s +Ġ c +Ġ b +i c +Ġ p +in g +Ġa nd +a s +i on +r o +l e +Ġ S +Ġt o +Ġ m +Ġ d +Ġ C +o u +Ġ A +i l +Ġ 1 +en t +Ġ h +Ġ T +a m +Ġ M +o m +o l +e l +Ġ re +Ġ ( +c t +Ġ B +Ġ l +a 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"e x", + "an k", + "Ġre m", + "at ing", + "Ġf ollow", + "ct or", + "om en", + "Ġm ade", + "Ġal bum", + "Ġl ater", + "Ġs ing", + "Ġth rough", + "iel d", + "in ist", + "Ġ end", + "iv er", + "un e", + "ĠA s", + "iv ed", + "r on", + "ers on", + "Ġthe m", + "Ġsec ond", + "ep t", + "og raph", + "us s", + "Ġw rit", + "Ġn um", + "Ġm ov", + "Ġthe re", + "ĠI s", + "t en", + "Ġthe n", + "Ġd ire", + "e ver", + "Ġ 9", + "s on", + "m p", + "ar g", + "Ġde f", + "Ġus ed", + ". \"", + "ĠF ran", + "he n", + "ow er", + "er m", + "vel op", + "u res", + "Ġ Q", + "in es", + "Ġrec ord", + "ĠS p", + "ĠW orld", + "Ġin v", + "ar i", + "em ent", + "istric t", + "os s", + "Ġt rans", + "ĠCom m", + "Ġs o", + "Ġm ed", + "ĠTh is", + "ĠN ational", + "j ect", + "ĠA ust", + "ĠW ar", + "ĠM ay", + "Ġs chool", + "Ġkn own", + "Ġs et", + "Ġ1 0", + "ĠJ ohn", + "\" ,", + "ĠJ an", + "Ġbec ame", + "Ġ ent", + "ĠC ounty", + "Ġs uch", + "u ro", + "st it", + "a i", + "Ġest abl", + "is m", + "ur al", + "Ġpro v", + "19 9", + "it s", + "c y", + "Ġa m", + "ĠC on", + "Ġp h", + "Ġin c", + "ĠP h", + "Ġth an", + "ment s", + "ĠB l", + "tern ational", + "ĠF or", + "a x", + "Ġf our", + "Ġ &", + "Ġs eries", + "Ġbe ing", + "Ġm on", + "| -", + "Ġs ome", + "ur ch", + "Ġle ad", + "p os", + "Ġ1 6", + "ĠB rit", + "amp ions", + "ĠO n", + "Ġp opul", + "Ġb l", + "Ġ19 3", + "is e", + "el s", + "ĠS chool", + "ut e", + "t y", + "Ġ1 5", + "t ain", + "Ġc all", + "ĠC an", + "Ġs ong", + "ay s", + "Ġinclud ing", + "ot her", + "ĠA t", + "Ġgro up", + "et h", + "Ġagain st", + "ĠJ u", + "Ċ Ċ", + "are er", + "Ġw ell", + "ar ri", + "le t", + "ĠS outh", + "ĠP l", + "Ġd o", + "Ġap pe", + "b orn", + "t il", + "Ġde ath", + "ik e", + "ian s", + "ug ust", + "ar n", + "Ġac c", + "ction s", + "u ary", + "Ġin t", + "ĠN ov", + "a e", + "am ed", + "b y", + "ept ember", + "v en", + "st em", + "m y", + "at her", + "r id", + "ĠW est", + "ĠG erman", + "ĠY ork", + "ire d", + "2 2", + "er ed", + "ul l", + "ver y", + "ĠA d", + "ut ion", + "r ist", + "k e", + "Ġbe fore", + "Ġre ce", + "= \"", + "ct ober", + "Ġad d", + "Ġwh ile", + "Ġs ur", + "Ġs ign", + "iv es", + "Ġpol it", + "overn ment", + "y s", + "00 0", + "Ġb ro", + "Ġde c", + "ĠO r", + "Ġ .", + "Ġsh ow", + "a id", + "ĠA ugust", + "Ġoff ic", + "Ġbu ild", + "Ġde velop", + "Ġo per", + "ĠS eptember", + "olog y", + "Ġg o", + "Ġc re", + "el f", + "ĠMar ch", + "Ġfam ily", + "Ġun til", + "le v", + "Ġc ap", + "Ġm usic", + "pr il", + "iz ed", + "Ġm ay", + "ow ever", + "r and", + "Ġo wn", + "f ess", + "a u", + "Ġre p", + "ic a", + "Ġn o", + "ĠO ctober", + "Ġor ig", + "Ġm ain", + "u es", + "er y", + "m ber", + "Ġm od", + "ĠC ent", + "en g", + "Ġh igh", + "Ġbir ths", + "emb ers", + "t ing", + "l ish", + "ist or", + "Ġch ar", + "Ġb oth", + "olle ge", + "Ġplay ed", + "Ġman y", + "Ġnum ber", + "et s", + "ĠJ une", + "r is", + "s h", + "om an", + "Ġex p", + "ĠJan uary", + "cent ury", + "ut h", + "ĠAust ral", + "Ġn ame", + "ampions hip", + "ward s", + "ĠG e", + "Ġb ack", + "ant s", + "ĠJu ly", + "v ed", + "i ent", + "x t", + "Ġrele ased", + "ce mber", + "st ru", + "Ġe m", + "1 7", + "Ġ1 2", + "ar m", + "ĠLe ague", + "p le", + "i or", + "g ram", + "ĠA pril", + "ĠT e", + "Ġfor mer", + "Ġg u", + "it al", + "iss ion", + "Ġse ver", + "C h", + "ĠW h", + "Ġan n", + "Ġw on", + "i um", + "ĠM an", + "e f", + "Ġdes ign", + "ic ip", + "ĠA ss", + "is c", + "l ed", + "19 8", + "Ġm at", + "ra ct", + "ro ss", + "aj or", + "Ġc ount", + "Ġdes c", + "ĠN orth", + "ĠBrit ish", + "e g", + "ĠNov ember", + "p or", + "Ġare a", + "Ġl ife", + "ir d", + "im es", + "port s", + "Ġst art", + "ĠP r", + "Ġor gan", + "duc ed", + "S ee", + "ĠE uro", + "Ġop en", + "are d", + "Ġf eat", + "O n", + "ĠC ity", + "ĠDe cember", + "ag es", + "v ent", + "et y", + "res ident", + "Ġd if", + "ĠG u", + "k et", + "ĠP ol", + "ot t", + "ro p", + "f l", + "Ġr un", + "re t", + "ar ch", + "Ġfilm s", + "Ġpro du", + "ĠC o", + "1 0", + "Ġm en", + "Ġcl ass", + "y l", + "ograph y", + "Ġg ame", + "ap an", + "eb ru", + "ebru ary", + "ce pt", + "Ġs m", + "lev ision", + "Ġpubl ic", + "ĠSt ate", + "Ġst ate", + "y le", + "S t", + "Ġ1 4", + "Ġex t", + "un g", + "Ġsy stem", + "ual ly", + "ĠâĢ Ķ", + "ĠC al", + "Ġl ong", + "ĠE d", + "Ġo b", + "Ġd r", + "Ġ1 3", + "al es", + "an c", + "A merican", + "Ġf inal", + "ol or", + "ĠR ep", + "il t", + "ĠI I", + "Ġc areer", + "il it", + "Ġs ame", + "ĠRe g", + "Ġde p", + "ul ar", + "he s", + "ĠAl l", + "Ġcall ed", + "a use", + "am b", + "vi ew", + "ĠCan ad", + "ĠA f", + "Ġfollow ing", + "n er", + "ĠB o", + "ĠK ing", + "2 3", + "Ġret urn", + "in c", + "ĠC ar", + "Ġf in", + "ov e", + "on y", + "Ġc ity", + "Ġw ill", + "r at", + "a f", + "ĠB ro", + "Ġch ild", + "ak ing", + "Ġsever al", + "à ¡", + "Ġcomm un", + "Ġw omen", + "s p", + "ren ch", + "ĠW ill", + "ĠS e", + "re nt", + "Ġ1 1", + "ĠF ebruary", + "or ks", + "an ge", + "ial ly", + "il ity", + "ure d", + "Ġl ist", + "Ġs uc", + "p ed", + "Ġe arly", + "ĠB e", + "Ġa ir", + "Ġcont in", + "Ġto wn", + "c om", + "Ġcomp et", + "ch n", + "Ġcl ub", + "t le", + "st er", + "ĠA m", + "ib le", + "f ul", + "t he", + "Ġm in", + "re en", + "is ed", + "al ly", + "Ġs ince", + "es e", + "ic es", + "c er", + "h am", + "ĠEuro pe", + "y n", + "r ing", + "Ġ '", + "b o", + "ang u", + "Ġn ear", + "c on", + "oin t", + "Ġn amed", + "Ġorig inal", + "end ed", + "u ed", + "at a", + "Ġhe ad", + "z e", + "Ġb el", + "ĠF l", + "Ġdis c", + "Ġpl ace", + "id ed", + "i ence", + "19 7", + "Ġbe gan", + "il le", + "Ġt it", + "Ġc ur", + "iv al", + "Ġpro gram", + "ĠP ar", + "our n", + "an e", + "Ġv ill", + "Ġm ember", + "Ġm embers", + "Ġp rom", + "Ġhe ld", + "Ġan y", + "b le", + "or m", + "Ġb ased", + "ĠThe y", + "1 6", + "Ġl and", + "Ġthe se", + "Ġ201 0", + "Ġcomp le", + "Ġap p", + "Ġsup port", + "Ġg overnment", + "al ity", + "r ight", + "Ġrem ain", + ". .", + "a ugh", + "Ġw e", + "Ġestabl ished", + "i ous", + "ĠJ apan", + "Ġal ong", + "Ġm et", + "Ġe ff", + "iv ision", + "Ġdesc rib", + "in ess", + "Ġen g", + "ĠA fter", + "ĠB ar", + "ĠP art", + "ition s", + "oun c", + "ĠH is", + "Ġp ass", + "ĠGe or", + "ĠS w", + "Ġus e", + "an a", + "Ġd ist", + "al th", + "pe ct", + "ĠEng lish", + "ĠCh ampionship", + "ad em", + "u k", + "Ġloc ated", + "m e", + "ur g", + "i en", + "1 5", + "ical ly", + "ĠA nd", + "ĠCh rist", + "ĠU S", + "ac ed", + "Ġd id", + "in o", + "Ġl aw", + "ĠH ar", + "Ġo cc", + "Ġchar act", + "ĠC ol", + "ĠE l", + "Ġ201 1", + "f ord", + "âĢ Ļ", + "ubl ic", + "at or", + "ond on", + "ĠM c", + "Ġy ou", + "Ġp os", + "oci ation", + "od e", + "Ġe ach", + "Ġh ouse", + "ore d", + "k y", + "ro w", + "ĠĠ ĠĠ", + "Ġserv ed", + "ĠAf ric", + "Ġto ok", + "Ġs im", + "ĠG en", + "ĠC ollege", + "Ġb and", + "ĠĊ ĠĊ", + "H e", + "Ġst ation", + "che s", + "at s", + "qu e", + "our t", + "Ġt r", + "ĠE ast", + "av ing", + "ĠE x", + "Ġb us", + "Ġ200 8", + "Ġb orn", + "ĠA b", + "Ġg ames", + "l ing", + "Ġn ational", + "ly mp", + "Ġ201 2", + "m ed", + "re w", + "Ġin st", + "Ġh ome", + "er g", + "ĠA ir", + "Ġpro fess", + "i et", + "ight s", + "in ed", + "ĠR o", + "Ġcomp any", + "Ġp erson", + "ĠR uss", + "Ġl ine", + "ard s", + "Ġpopul ation", + "Ġm ajor", + "ac es", + "ill ion", + "a ul", + "Ċ Ġ", + "Ġb as", + "Ġj oin", + "ĠF rench", + "Ġsm all", + "Ġle g", + "Ġ19 0", + "Ġloc al", + "Ġ200 9", + "s ide", + "ĠH er", + "Ġs l", + "Ġv ari", + "Ġrece ived", + "Ġde b", + "Ġev ent", + "p s", + "ĠD istrict", + "Ġman ag", + "Ġgen eral", + "Ġpubl ished", + "ĠL ondon", + "Ġte levision", + "T h", + "ilit ary", + "ĠM ed", + "19 6", + "ĠC up", + "et er", + "Ġcent ury", + "at ure", + "ar a", + "1 2", + "Ġsing le", + "Ġbu ilt", + "ĠH igh", + "ĠWill iam", + "Ġ201 3", + "Ġv i", + "Ġ200 6", + "Ġd ue", + "Ġc ould", + "Ġ200 7", + "ar ge", + "Ġv ers", + "Ġap pro", + "s c", + "Ġw orld", + "Ġspec ies", + "Ġ201 6", + "Ġ201 4", + "Ġ X", + "Ġ $", + "Ġc olle", + "Ġp o", + "Ġsuc cess", + "ie f", + "ounc il", + "v ers", + "um n", + "Ġa round", + "Ġst r", + "ing ton", + "ord ing", + "if ied", + "om in", + "Ġ2 5", + "A l", + "ĠS y", + "at ely", + "arri ed", + "id es", + "Ġed uc", + "Ġo ld", + "ow s", + "Ġt erm", + "Ġ201 5", + "ro l", + "à ³", + "ff ic", + "1 4", + "um mer", + "L iving", + "Ġ201 8", + "Ġa ge", + "uth or", + "ĠIt al", + "ord s", + "Ġhe l", + "Ġal ign", + "oc ial", + "r ation", + "ain t", + "a us", + "Ġ201 7", + "Ġp resent", + "ĠCom p", + "Ġe p", + "Ġl ast", + "ĠR ec", + "Ġle ft", + "Ġs ix", + "e v", + "Ġh istory", + "i od", + "Ġn ow", + "t t", + "ĠS ec", + "re et", + "a im", + "Ġ18 9", + "Ġs aid", + "t al", + "Ġrep resent", + "Ġt y", + "ra ft", + "ĠP ark", + "Ġ3 0", + "ĠH owever", + "Ġplay er", + "Ġd ied", + "ĠH ouse", + "id d", + "Ġ20 20", + "Ġc amp", + "op h", + "Ġre st", + "iz ation", + "Ġ ,", + "art ment", + "Ġ20 19", + "Ġc ar", + "um b", + "Ġl a", + "angu age", + "ĠA ng", + "ĠD av", + "1 3", + "Ġto p", + "e le", + "ĠAr t", + "on es", + "Ġvill age", + "Ġp ar", + "Ġwith in", + "ĠC or", + "iv en", + "Ġst yle", + "ĠS up", + "Ġd et", + "Ġf ive", + "Ġn orth", + "Ġsh ort", + "Ġt ri", + "ide o", + "Ġor der", + "c o", + "in k", + "ĠL a", + "ĠPh il", + "ĠN o", + "Ġd ay", + "Ġ19 2", + "o ks", + "is on", + "et her", + "ent ly", + "u f", + "Ġdescrib ed", + "Ġc ol", + "ĠR es", + "ak es", + "in t", + "ur ther", + "Ġ 0", + "v an", + "n a", + "Ġbuild ing", + "Ġth ird", + "à Ń", + "ĠM e", + "er t", + "Ġinclud e", + "ain s", + "re st", + "ĠInd ian", + "Ġinclud ed", + "ur s", + "ot e", + "ast er", + "um ent", + "Ġp ost", + "ee k", + "Ġann oun", + "ĠIn ternational", + "d ay", + "if orn", + "ĠG l", + "l er", + "Ġdif fer", + "al k", + "à ¼", + "Ġchild ren", + "Ġre port", + "5 0", + "en e", + "he m", + "ĠR iver", + "Ġd own", + "oy al", + "ĠT r", + "vi ous", + "Ġre f", + "Ġre qu", + "re g", + "Ġ2 4", + "U n", + "feren ce", + "iforn ia", + "Ġbec ause", + "th ough", + "Ġad m", + "iv ely", + "Ġcons id", + "Ġl arge", + "Ġs outh", + "uc k", + "ĠS an", + "Ġl it", + "g round", + "Ġs on", + "Ġres ult", + "al d", + "rid ge", + "ĠEng land", + "ri end", + "ic o", + "Ġd em", + "Ġd istrict", + "H istory", + ". ,", + "c olor", + "ĠA c", + "Ġst and", + "Ġm ark", + "os p", + "use um", + "er a", + "ĠE n", + "ra g", + "Ġar ch", + "Ġp ower", + "inn ing", + "k a", + "ĠO lymp", + "Ġbo ok", + "Ġst at", + "od y", + "en cy", + "ĠB r", + "Ġ200 5", + "P eople", + "Ġdeath s", + "Ġl o", + "ĠD ep", + "c hed", + "ad io", + "Ġc rit", + "con om", + "in ing", + "ĠPart y", + "Ġ20 21", + "land s", + "um an", + "ĠM ich", + "ĠAustral ia", + "ist er", + "Ġappe ar", + "ĠCal ifornia", + "Ġc or", + "Ġm ale", + "19 4", + "Ġl arg", + "Ġis s", + "al f", + "Ġj ust", + "ot es", + "he l", + "Ġ18 8", + "Ġre pl", + "k i", + "Ġv is", + "Ġw ater", + "Ġserv ice", + "Ġper iod", + "Ġper form", + "Ġn on", + "ĠThe re", + "ĠS ch", + "Ġadd ition", + "n ess", + "Ġres p", + "o x", + "Ġk ill", + "oci ety", + "A r", + "am ent", + "om b", + "er ing", + "our s", + "Ġre fer", + "a ff", + "Ġw ar", + "Ġmov ed", + "ĠY ou", + "ĠA g", + "Ġdiffer ent", + "Ġcur rent", + "ĠM on", + "Ġc r", + "o on", + "iz e", + "Ġro und", + "Ġ20 00", + "Ġl ike", + "rib ut", + "l ine", + "Ġinc re", + "v es", + "ĠA ward", + "Ġl ed", + "o f", + "Ġt rad", + "am a", + "1 1", + "Ġbus iness", + "av y", + "her n", + "t a", + "Ġan other", + "ĠAr my", + "Ġth ose", + "op s", + "Ġh istor", + "Ġsh ip", + "Ġst ill", + "and er", + "Ġe qu", + "Ġ200 4", + "Ġf ather", + "p ar", + "Ġ if", + "ĠP er", + "Ġf ield", + "ep end", + "Ġw est", + "Ġex per", + "Ġd el", + "i ber", + "ĠG ro", + "Ġf ac", + "iv il", + "Ġact iv", + "Ġcomp os", + "Ġh and", + "Ġbe st", + "Ġa uthor", + "Ġannoun ced", + "Ġp ort", + "Ġdeb ut", + "d om", + "Ġin ternational", + "stru ction", + "Ġpro ject", + "Ġtit le", + "Ġcount ry", + "Ġ el", + "Ġs old", + "ug g", + "Ġf em", + "u el", + "Ġ20 22", + "Ġw in", + "ĠP ort", + "ru ct", + "as es", + "19 3", + "Ġestabl ish", + "Ġcharact er", + "en se", + "Ġpolit ic", + "Ġe ast", + "f ield", + "l in", + "ĠM inist", + "un icip", + "ĠInd ia", + "us h", + "Ġs ide", + "ĠA mer", + "c ast", + "ri pt", + "ĠA ct", + "Ġp at", + "att le", + "Ġa v", + "ourn al", + "Ġ18 6", + "an ish", + "ĠFran ce", + "re ad", + "19 5", + "Ġn ov", + "ĠCh urch", + "Ġ2 1", + "Ġ2 3", + "Ġc ult", + "ĠM al", + "g color", + "Ġpre vious", + "Ġm ake", + "Ġ very", + "a el", + "ri es", + "ort hern", + "Ġa ward", + "ra w", + "ain ed", + "Ġele ction", + "ro te", + "le x", + "g in", + "Ġ2 2", + "ĠS m", + "ĠCh ar", + "Ġam ong", + "ap p", + "m s", + "ab or", + "Ġw orks", + "ĠR oman", + "C om", + "i us", + "al ign", + "re m", + "o ff", + "w ork", + "o le", + "Ġro le", + "Ġpro duced", + "for man", + "Ġle vel", + "Ġm ag", + "ĠB el", + "Ġof ten", + "ol ution", + "Ġa ff", + "d e", + "ĠE m", + "Ġl ate", + "Ġs pe", + "Ġre ad", + "Ġw eb", + "Ġth ough", + "Ġinv ol", + "Ġf e", + "Ġb gcolor", + "Ġre se", + "ĠA nt", + "A s", + "it ar", + "à ¶", + "at ch", + "ĠB ra", + "Ġwrit ten", + "or ies", + "Ġex pl", + "im ent", + "v ille", + "pl oy", + "ĠD ivision", + "r ont", + "ĠC ouncil", + "ip p", + "Ġeng ine", + "Ġf ore", + "Ġep is", + "stit ute", + "ĠN or", + "Ġ18 7", + "ir c", + "ĠCanad a", + "b ack", + "Ġad v", + "ra p", + "ĠQ u", + "ul ts", + "Ġte chn", + "ac ks", + "âĢ Ķ", + "Ġstart ed", + "Ġev en", + "es c", + "umn i", + "Ġyou ng", + "Ġm illion", + "Ġp oss", + "A n", + "a pe", + "n ey", + "ĠQ ue", + "Ġall ow", + "Ġ2 6", + "iv id", + "Ġcl os", + "g es", + "r ay", + "Ġm arried", + "Ġg rad", + "b an", + "Ġc ame", + "ĠP al", + "Ġin it", + "ra ck", + "ol ic", + "Ġoffic ial", + "Ġc over", + "Ġ200 3", + "e al", + "Ġcre ated", + "it or", + "Ġim port", + "Ġs it", + "ou ther", + "ĠR ober", + "y a", + "ĠV al", + "ĠAmer ica", + "ĠJ ames", + "er ation", + "Ġw ent", + "form ation", + "ĠTh om", + "Ġs ite", + "Ġg iven", + "Ġ2 8", + "ĠR oyal", + "ĠM or", + "Ġto tal", + "le ct", + "h a", + "ĠA p", + "Ġ2 7", + "Ġe very", + "l o", + "Ġst ruct", + "outher n", + "Ġt urn", + "ĠGen eral", + "Ġcommun ity", + "e an", + "w est", + "ĠO ne", + "Ġeff ect", + "g ed", + "ĠEurope an", + "it ect", + "oin ted", + "g y", + "om et", + "ĠSt reet", + "Ġjoin ed", + "ĠGeor ge", + "ĠB y", + "Ġv al", + "v al", + "it te", + "ir l", + "Ġra il", + "Ġ200 2", + "et t", + "ag o", + "Ġpolit ical", + "ot s", + "P l", + "Ġwh at", + "Ġch ang", + "Ġwork ed", + "Ġp res", + "st on", + "Ġp e", + "Ġs w", + "Ġvari ous", + "ir on", + "Ġdevelop ment", + "i j", + "Ġf re", + "al t", + "ree k", + "ĠM ount", + "s ite", + "ĠAss ociation", + "pos ed", + "Ġcon f", + "ĠS en", + "ĠH ol", + "Ġpro cess", + "b or", + "Ġt w", + "ĠL ou", + "ĠP aul", + "Ġv ideo", + "ĠP resident", + "Ġprofess ional", + "Ġele ct", + "ac hed", + "Ġm ilitary", + "at ic", + "Ġf act", + "m a", + "Ġvers ion", + "her s", + "olog ical", + "re am", + "at ri", + "Ġm uch", + "Ġ200 1", + "ra in", + "Ġpro te", + "Ġprodu ction", + "s elf", + "Ġh aving", + "ĠAustral ian", + "Ġne xt", + "ĠR ich", + "ĠR ed", + "Ġcl aim", + "Ġbec ome", + "Ġcomm on", + "Ġspec ial", + "h old", + "Ġb re", + "Ġs ent", + "Ġm iss", + "h ib", + "Ġh ost", + "Ġt em", + "og n", + "B C", + "Ġint ro", + "Ġdire ct", + "e h", + "Ġus ing", + "e ad", + "Ġp ri", + "ĠGerman y", + "o or", + "Ġreturn ed", + "op e", + "Ġw rote", + "Ġp resident", + "ĠUn ion", + "Ġpr im", + "ĠD em", + "est s", + "Ġ Ã", + "3 0", + "Ġ1 00", + "' t", + "in ation", + "Ġmat ch", + "Ġpos ition", + "ict ion", + "i ography", + "oin ts", + "Ġan t", + "m ing", + "Ġt ake", + "Ġteam s", + "Ġdire ctor", + "ĠDav id", + "Ġch urch", + "Ġm ult", + "fl u", + "Ġsong s", + "Ġg l", + "Ġopen ed", + "Ġper forman", + "il ar", + "ivid ual", + "Ġf ew", + "Ġev ents", + "ĠB er", + "A fter", + "id a", + "se qu", + "o e", + "Ġf un", + "Ġbe h", + "an i", + "Ġ [", + "ĠK h", + "C A", + "r ant", + "m on", + "arl iam", + "ak en", + "Ġv ol", + "ar ian", + "ĠH all", + "ĠSt ud", + "ĠP e", + "Ġ199 0", + "u le", + "ent ion", + "ash ington", + "ĠD uring", + "ĠG ames", + "Ġ2 9", + "oc rat", + "ĠD r", + "ber g", + "arliam ent", + "Ġ( )", + "er b", + "Ġim p", + "Ġt imes", + "ec ut", + "Ġst ory", + "cc ording", + "Ġs ol", + "ĠAc adem", + "Ġpart icip", + "Ġw ay", + "Ġv oc", + "Ġfootball ers", + "ĠV ir", + "ĠRo ad", + "ri an", + "augh ter", + "Ġbe g", + "Ġalbum s", + "ib r", + "ĠM ary", + "a ur", + "Ġh ig", + "est ed", + "Ġs k", + "ĠM art", + "Ġf riend", + "it z", + "ra b", + "n ing", + "ĠM ex", + "it t", + "ĠPro v", + "ĠCl ub", + "an ces", + "ĠJ os", + "Ġatt ack", + "ket ball", + "itte e", + "Ġro ad", + "our ces", + "an ies", + "stit ut", + "y ear", + "Ġadm inist", + "Ġpopul ar", + "il es", + "Ġbro ther", + "Ġne ed", + "Ġwith out", + "at ors", + "at ter", + "ĠCh ina", + "ĠD es", + "Ġserv ices", + "is l", + "Ġreg ion", + "ic le", + "ĠM usic", + "y ing", + "m en", + "Ġp ract", + "idd le", + "Ġstud ents", + "Ġs ocial", + "ĠL ist", + "F ilm", + "od es", + "ĠH en", + "ers hip", + "wo od", + "a ign", + "Ġt er", + "end ing", + "Ġh alf", + "ĠC ourt", + "r ated", + "Ġbro ad", + "Ġg reat", + "Ġf ull", + "Ġcontin ued", + "P ro", + "ĠComp any", + "Ġl ost", + "ĠM ag", + "s hip", + "ac y", + "ĠT own", + "n ect", + "Ġco ach", + "Ġh on", + "us ed", + "Ġm id", + "Ġal umni", + "Ġeduc ation", + "ĠCanad ian", + "are nt", + "Ġrese arch", + "Ġatt em", + "ĠT ur", + "ĠT ex", + "ĠKing dom", + "ĠBl ack", + "ĠL aw", + "is ing", + "Ġh owever", + "ol it", + "ĠS ociety", + "2 5", + "ens us", + "ber t", + "Ġse e", + "ĠM y", + "Ġcomple ted", + "| |", + "Ġd ays", + "ap er", + "Ġpro duc", + "ĠH istor", + "b urg", + "Ġapp ointed", + "Ġele cted", + "w h", + "Ġex amp", + "Ġcom b", + "Ġinv est", + "est ival", + "ill s", + "Ġind ust", + "u it", + "Ġ199 9", + "Ġ ident", + "Ġin f", + "ĠP ri", + "Ġs qu", + "Ġpart y", + "cent er", + "Ġfound ed", + "Ġcont rol", + "Ġdire cted", + "ĠF irst", + "in i", + "âĢ Ŀ", + "ĠM ad", + "Ġrecord ed", + "ĠW ashington", + "Ġa ver", + "ific ation", + "ĠIs land", + "Ġl im", + "on a", + "ĠAfric an", + "Ġr ight", + "ines e", + "C l", + "ĠN e", + "l ess", + "Ġsign ed", + "ĠW hen", + "ĠCent er", + "ĠThe se", + "n ow", + "c raft", + "Ġw ife", + "Ġe conom", + "Ċ ĠĊ", + "Ġ198 0", + "ĠS l", + "Ġle ague", + "Ġpro per", + "ĠGro up", + "2 4", + "Ġp oints", + "ĠC ath", + "as ons", + "ot ed", + "Ġare as", + "Ġre view", + "y m", + "u ff", + "Ġgroup s", + "ĠRec ords", + "n el", + "ish ing", + "Ġconsid ered", + "Ġb ase", + "Ġra ce", + "I t", + "Ġpart ic", + "at ural", + "ĠM iss", + "Ġf ind", + "ĠC he", + "ĠJapan ese", + "Ġf urther", + "ĠS al", + "r d", + "= #", + "Ġre n", + "ĠS am", + "ĠS ummer", + "ĠS erv", + "ell ow", + "Ġc oll", + "ar ies", + "Ġrel ations", + "Ġc aus", + "ap t", + "il i", + "ĠR ail", + "Ġv ict", + "ep h", + "Ġsur v", + "ĠCent ral", + "Ġsim ilar", + "r ig", + "th let", + "Ġh old", + "ell s", + "Ġind ividual", + "ĠDep artment", + "Ġde g", + "Ġto g", + "ĠIn stitute", + "way s", + "Ġpr iv", + "ĠT ra", + "Ġre al", + "ĠOlymp ics", + "Ġvi ew", + "ĠAr ch", + "ĠS ing", + "Ġweb site", + "ĠAng el", + "id ence", + "ar ter", + "ĠZ eal", + "g er", + "Ġt en", + "ĠW e", + "ar th", + "ĠAcadem y", + "um p", + "Ġtog ether", + "ĠSt e", + "ĠM useum", + "u ation", + "ĠG rand", + "ĠRuss ian", + "Ġ199 8", + "Ġrele ase", + "ric k", + "r ish", + "ĠF ootball", + "ot a", + "ĠZeal and", + "ĠM ont", + "Ġin flu", + "ĠP ress", + "r as", + "Ġreport ed", + "ĠB est", + "Ġp oint", + "ĠItal ian", + "Ġc ase", + "Ġappe ared", + "et work", + "Ġc er", + "ĠRober t", + "ĠF ilm", + "Ġoff ice", + "Ġs ports", + "ed eral", + "Ġm other", + "ou l", + "ĠThom as", + "Ġtra ck", + "Ġp ain", + "Ġw eek", + "m ar", + "en c", + "ĠB ay", + "ĠT V", + "Ġnov el", + "Ġme et", + "y d", + "Ġcon d", + "b e", + "Ġbir th", + "Ġm y", + "ed y", + "Ġdevelop ed", + "Ġform ed", + "ak er", + "it ive", + "Ġin s", + "ĠO p", + "ĠAfric a", + "it ing", + "Ġh ous", + "i que", + "Ġmed al", + "Ġhel p", + "Ġgu itar", + "ĠW ith", + "ĠWest ern", + "ĠFran c", + "Ġla un", + "Ġa ut", + "Ġass ist", + "ĠA lex", + "ad es", + "ĠRep ublic", + "Ġ199 6", + "ĠD on", + "Ġd iv", + "Ġph ot", + "du ction", + "Ġwork ing", + "ĠC ong", + "ul a", + "l or", + "Ġd oc", + "ĠâĢ ľ", + "Ġimport ant", + "Ġ /", + "Ġm aking", + "Ġar r", + "Ġto urn", + "Ġ z", + "4 0", + "h i", + "ol a", + "ĠSc ott", + "Ġart ist", + "ĠG reat", + "ail ed", + "re land", + "Ġarch itect", + "c ks", + "ĠM et", + "ict or", + "i ers", + "ĠG reen", + "Ġc ast", + "Ġgro w", + "Ġm unicip", + "Ġap pl", + "im ately", + "it ted", + "Ġg ood", + "al a", + "ĠC ap", + "Ġm ar", + "ĠVir gin", + "Ġ197 0", + "Ġ18 5", + "ĠChar les", + "Ġof fer", + "id ing", + "ĠLou is", + "c ial", + "c le", + "Ġm ot", + "Ġl ess", + "Ġtrad ition", + "g o", + "à ¤", + "ĠComm un", + "ĠK ore", + "b and", + "id ae", + "Ġl ive", + "Ġschool s", + "ic les", + "ĠG old", + "Ġ20 23", + "re y", + "Ġd ata", + "ro ll", + "it her", + "Ġph ys", + "Ġ199 7", + "Ġf und", + "ens ive", + "Ġh uman", + "Ġd aughter", + "Ġty p", + "Ġcon c", + "Ġsh ould", + "epend ent", + "st ro", + "ab ly", + "Ġother s", + "en a", + "at ives", + "Ġem ploy", + "ĠY ear", + "Ġro ck", + "osp ital", + "Ġgro und", + ") :", + "Ġrec ogn", + "Ġhim self", + "Ġd i", + "Ġre v", + "Ġm ater", + "v iron", + "ĠCar ol", + "Ġde cl", + "a ut", + "Ġbuild ings", + "ad a", + "ĠJ ew", + "all s", + "ĠMinist er", + "en ed", + "Ġr ul", + "le g", + "S h", + "az ine", + "Ġst ar", + "ĠS im", + "Ġac ross", + "Ġav ail", + "us ical", + "Ġcomp anies", + "Ġf ire", + "ĠV ol", + "al y", + "ic ation", + "p ite", + "s y", + "Ġb ody", + "ay ing", + "ol f", + "ate g", + "m ost", + "Ġan im", + "ĠM ac", + "Ġcamp aign", + "and ing", + "Ġl anguage", + "u z", + "Ġst ations", + "overn or", + "ĠTex as", + "ĠM er", + "Ġe ight", + "Ġg et", + "Ġdo es", + "b our", + "Ġ5 0", + "Ġaver age", + "ri a", + "um e", + "E ng", + "Ġ =", + "ud e", + "at re", + "ce ed", + "ĠLe g", + "r im", + "Ġex ist", + "Ġbec om", + "Ġqu al", + "Ġmod ern", + "he re", + "ra el", + "Ġplay ing", + "ric ket", + "ĠChrist ian", + "Ġbl ack", + "Ġt ro", + "g ress", + "ĠU K", + "em or", + "Ġl ow", + "ĠMich ael", + "ĠC ont", + "he ast", + "N ew", + "D e", + "ĠT rans", + "Ġh ow", + "Ġ199 5", + "Ġepis ode", + "ĠP at", + "ĠI m", + "Ġ3 1", + "ĠW il", + "o ice", + "Ġ199 2", + "Ġgrad u", + "z il", + "ĠCh inese", + "ock ey", + "g en", + "ut es", + "Ġc le", + "Ġst age", + "u ild", + "Ġd ram", + "ĠF rom", + "u x", + "ĠCath olic", + "w rit", + "Ġc ross", + "Ġexamp le", + "ĠP et", + "em ents", + "Ġ et", + "ud d", + "2 6", + "ch ie", + "Ġr adio", + "ĠT om", + "Ġne ver", + "air s", + "ĠD el", + "Ġl iving", + "Th is", + "Ġd er", + "h ood", + "ĠC ro", + "Ġ199 4", + "Ġperform ed", + "Ġf oc", + "ad o", + "emb ly", + "Ġfem ale", + "and id", + "I I", + "Ġw inn", + "ĠT er", + "eth od", + "k ed", + "ĠPar is", + "Ġse par", + "Ġbel ie", + "t ime", + "pe ople", + "2 7", + "Ġpolitic ian", + "Ġf ree", + "Ġac qu", + "ĠWh ite", + "Ġart ists", + "Ġass oci", + "w are", + "Ġf ight", + "Ġl ight", + "ent ial", + "ov iet", + "Ġcont ract", + "duc ation", + "A t", + "re l", + "Ġk m", + "o z", + "Ġre d", + "ibr ary", + "ough t", + "ign ed", + "Ġstr ong", + "Ġsuccess ful", + "ĠT or", + "Ġkill ed", + "ur a", + "at ory", + "he ad", + "Ġfin ished", + "2 8", + "Ġmon ths", + "av al", + "im ate", + "Ġpl aces", + "Ġcon struction", + "Ġpro t", + "ĠD an", + "Ġg ave", + "Ġestablish ments", + "id ents", + "E arly", + "as c", + "Ġavail able", + "Ġa way", + "Ġgo al", + "Ġcon du", + "Ġin j", + "if f", + "ĠChampionship s", + "Ġperforman ce", + "av es", + "ran ch", + "Ġ196 0", + "ish op", + "ĠB ill", + "ell ing", + "Ġal though", + "ĠSp anish", + "il ities", + "ĠT o", + "Ġbo oks", + "i qu", + "viron ment", + "I nd", + "ĠL at", + "id s", + "Ġj ournal", + "Ġin formation", + "Ġ ide", + "an o", + "inal s", + "ĠFran k", + "ic ated", + "ut ch", + "ĠDem ocrat", + "ĠFl or", + "le ft", + "Ġt aken", + "ell a", + "Ġd am", + "ĠI reland", + "Ġc our", + "it ch", + "ĠS ur", + "ĠRe v", + "ĠM el", + "Ġse le", + "ific ant", + ", \"", + "Ġfollow ed", + "ĠW omen", + "ĠV ictor", + "S c", + "ar ia", + "ct s", + "Ġshow s", + "Ġr ank", + "Ġag re", + "ĠIn ter", + "ĠS ant", + "ug by", + "ĠP enn", + "Ġc ost", + "ĠP eter", + "it a", + "G e", + "Ġ199 3", + "Ġm ix", + "Ġto ur", + "om a", + "Ġhe alth", + "g ian", + "ĠSm ith", + "Ä ģ", + "o res", + "2 9", + "ĠL ake", + "Ġf ront", + "Ġj ud", + "se c", + "ĠF ore", + "ĠL os", + "Ġattem pt", + "Ġaward ed", + "Ġinclud es", + "Ġc irc", + "Ġtourn ament", + "ic ago", + "Ġfeat ures", + "ĠC ons", + "ĠRich ard", + "s erv", + "Ġoriginal ly", + "Ġdesign ed", + "Ġs en", + "Ġvi ol", + "\" |", + "ag ed", + "o ch", + "Ġ199 1", + "Ġac cess", + "Ġmater ial", + "ĠH am", + "Ġhouse hold", + "Ġse ven", + "n y", + "ĠD ire", + "ĠHen ry", + "Ġim pro", + "Ġp ut", + "Ġc ivil", + "Ġrel ig", + "om s", + "Ġremain ed", + "Ġs il", + "ist an", + "it er", + "Ġs ound", + "ĠD ay", + "Ġstud y", + "un t", + "i os", + "Ġ18 4", + "Ġl ab", + "nd er", + "Ġon ce", + "Ġ4 0", + "Ġfeat ured", + "er ous", + "ol k", + "ĠSw ed", + "ĠM ass", + "Ġfor ces", + "ĠB en", + "atri ate", + "Ġsc ored", + "he st", + "ur ity", + "ĠB as", + "m b", + "Ġp ress", + "Ġt est", + "ac hes", + "Ġc y", + "Ġ ill", + "à ¨", + "Ġc ourt", + "Ġde v", + "Ġsing er", + "Ġmark et", + "ap s", + "r or", + "Ġbas ketball", + "ro ad", + "ip le", + "ach ing", + "Ġb ar", + "Ġpl an", + "il ies", + "Ġsign ificant", + "N otes", + "end er", + "ĠVirgin ia", + "Ġex ecut", + "ic ations", + "T e", + "ig an", + "ĠH ill", + "ĠB ur", + "Ġlead ing", + "Ġtra ining", + "em s", + "Ġpol ice", + "6 0", + "Ġmed ia", + "Ġe arn", + "ri p", + "ĠSup er", + "Ġre b", + "b l", + "ĠFor ce", + "F or", + "Ġd ou", + "ĠW in", + "Ġlarg est", + "Ġr ights", + "Ġ #", + "Ġm ount", + "ear ch", + "k n", + "ĠE mp", + "19 0", + "ĠC amp", + "augh t", + "ic y", + "art s", + "our ce", + "e ep", + "Ġair craft", + "am s", + "ĠOr der", + "Ġm ust", + "ffic ial", + "pl ay", + "Ġmod el", + "ĠM a", + "F C", + "ó n", + "ĠU p", + "Ġpl ant", + "Ä ĩ", + "C areer", + "it es", + "A S", + "Ġen c", + "C on", + "Ġs em", + "Ġthrough out", + "ĠR ock", + "ist ics", + "Ġlit er", + "Ġtrans fer", + "ĠH istory", + "r up", + "Ġcons ist", + "ĠĊ Ċ", + "Ġg old", + "y p", + "ĠComm ission", + "Ġinvol ved", + "L ist", + "ĠB ut", + "un k", + "Ġlist ed", + "Ġc ou", + "Ġsub sequ", + "sh ire", + "ĠO l", + "ĠAr ts", + "ord er", + "Ġst ated", + "ien ces", + "ĠS aint", + "ut er", + "Ġbo ard", + "Ġintro duced", + "ann el", + "Ġs ugg", + "Ġwh ite", + "Ġcap t", + "Ġe arl", + "Ġse en", + "Ġcompet ition", + "Ġt re", + "Ġrepl aced", + "Ġw id", + "i ro", + "ĠC ast", + "un s", + "v ing", + "ĠMex ico", + "Ġc andid", + "ĠSc ot", + "ĠR ob", + "Eng lish", + "8 0", + "Ġtrans l", + "Ġwrit er", + "W h", + "ĠItal y", + "ar c", + "ĠIs rael", + "Ġevent ually", + "ĠG o", + "Ġ198 8", + "T V", + "Ġv ia", + "Ġpriv ate", + "z a", + "Ġresp ons", + "rib ution", + "ĠProv ince", + "ut ure", + "Ġcrit ic", + "at al", + "Ġb i", + "Ġres ults", + "Ġent ire", + "ĠK n", + "ĠPl ay", + "Ġvoc als", + "l ant", + "ĠSec ond", + "Ġab le", + "Ġt reat", + "Ġ198 9", + "um m", + "te xt", + "Ġadd ed", + "ret ary", + "Ġc ollege", + "ĠTur k", + "ĠN avy", + "Ġr an", + "Ġpro ble", + "om m", + "Ġfour th", + "A R", + "m in", + "Ġcount ries", + "ec k", + "201 0", + "Ġk ey", + "Ġp ast", + "ĠP arliament", + "Å į", + "ĠCh icago", + "b b", + "ver t", + "ĠF estival", + "Ġw ind", + "ĠAngel es", + "ut y", + "Ġcent ral", + "Ġact ress", + "ĠP an", + "ĠM in", + "uf act", + "as ing", + "ĠComm ittee", + "e ated", + "ul arly", + "ĠJ ust", + "Ġa ud", + "ĠS qu", + "ript ion", + "Ġwrit ers", + "Ġass ociation", + "Ġcomm and", + "Ġle ast", + "Ġres pect", + "Ġ Ð", + "Ġl oss", + "yl van", + "ĠM us", + "Ġsp ace", + "ĠI ll", + "ian o", + "por ary", + "F A", + "mer cial", + "ĠG ra", + "ĠBro wn", + "o o", + "ĠC arl", + "ab ility", + "ĠHistor ic", + "Ġun its", + "s k", + "ĠW ales", + "Film s", + "Ġn omin", + "Ġs er", + "y r", + "ĠI ts", + "or por", + "Ġm inist", + "Ġs ch", + "18 9", + "Ġpre m", + "ĠM il", + "Ġdeg ree", + "Ġst aff", + "Ġr ange", + "Ġdisc over", + "ĠFlor ida", + "ok e", + "u a", + "ib l", + "ri al", + "Ġ :", + "Ġ es", + "ĠGeor g", + "Ġcl ose", + "Ġdoc ument", + "L e", + "Ġbroad cast", + "Ġf ig", + "as k", + "Ġst ates", + "Ġre ached", + "ian a", + "Ġab ove", + "med i", + "Ġcon v", + "Ġc ensus", + "v a", + "ĠP re", + "erv e", + "Ġch ange", + "el t", + "Ġprov ided", + "r ade", + "Ġcurrent ly", + "u an", + "ĠCarol ina", + "Ġse asons", + ".. .", + "Ġex hib", + "ĠBra zil", + "ĠWh ile", + "y e", + "rough t", + "oy s", + "i ents", + "Ġcont ribut", + "ylvan ia", + "Ġexp ress", + "ĠS oviet", + "ĠA wards", + "Ġe ither", + "Ġf av", + "Ġp ur", + "f ace", + "Ġch ampionship", + "Ġ Â", + "r ative", + "al ed", + "e es", + "Ġtra vel", + "P h", + "ĠCong ress", + "Ġpl aced", + "Ġ( \"", + ") ;", + "ĠO ff", + "sy ch", + "Ġmiss ing", + "Ġup on", + "Ġh om", + "s el", + "ĠRuss ia", + "Ġsub ject", + "bo ard", + "Ġrail way", + "F L", + "ad ium", + "st e", + "u ke", + "Ġs aw", + "Ġinter est", + "st ant", + "ĠL and", + "Ġ198 7", + "ĠP ublic", + "pt ion", + "ab it", + "w ell", + "ist ic", + "ĠG od", + "Ġcent er", + "ĠAn n", + "Ġm ur", + "Ġa ction", + "k m", + "ĠM r", + "l am", + "Ġocc ur", + "kn own", + "cept ion", + "Ġty pe", + "ĠA ccording", + "Ġw ant", + "ip l", + "p ly", + "ĠD o", + "is es", + "Ġp ot", + "Ġf if", + "ed s", + "Ġn ight", + "Ġa chie", + "Ġc op", + "Ġ18 3", + "i res", + "l im", + "stit ution", + "Ġh it", + "Ġatt ended", + "h an", + "ĠG overnment", + "ĠT our", + "g ent", + "ĠMar k", + "p ing", + "Ġle arn", + "l anguage", + "ĠM ur", + "Ġse x", + "Ġcharact ers", + "A d", + "Ġ198 6", + "Ġ198 4", + "ubl ican", + "ar ily", + "ele b", + "az z", + "ĠĠĠĠ ĠĠĠĠ", + "et te", + "Ġcap ital", + "Ġcon nect", + "ĠCl ass", + "Ġme as", + "S p", + "Ġdec ided", + "Ġc he", + "ult ural", + "P erson", + "d en", + "g l", + "Ġprevious ly", + "er o", + "eng th", + "Ġd raw", + "ĠD en", + "ult ure", + "ĠTe chn", + "ĠC ount", + "ĠSc ience", + "ĠAss embly", + "ollow ing", + "Ġde stro", + "b ur", + "The re", + "at o", + "Ġst re", + "Ġd ivision", + "Ġne igh", + "Ġlead er", + "ĠN ot", + "ĠE r", + "am ily", + "ĠServ ice", + "200 0", + "Ġ195 0", + "Ġstud io", + "Ġappro x", + "Ġse ction", + "Ġus ually", + "ĠJ un", + "ĠI rish", + "Ġme an", + "ĠS ome", + "Ġm ass", + "B A", + "Ġdef eated", + "s ylvania", + "st ra", + "Ġsing les", + "Ġed ition", + "re me", + "and a", + "7 0", + "Ġre ve", + "Ġocc up", + ". )", + "ĠP ac", + "ow ers", + "ĠO h", + "f ic", + "ĠEmp ire", + "a ud", + "ig er", + "e ction", + "ĠN orthern", + "Ġkn ow", + "Ġinst ead", + "Ġn atural", + "Ġeff ort", + "Ġg rand", + "m un", + "Ġact or", + "Ġpo et", + "Ġr iver", + "Ġar g", + "ĠR os", + "ĠE le", + "Ġp arent", + "Ġacc ount", + "Ġf arm", + "ĠSt ar", + "ch an", + "Ġ198 5", + "h ire", + "amp ion", + "ers ey", + "ĠS ir", + "st r", + "Ġd u", + "Ġb ur", + "c a", + "Ġac cept", + "Ġw inning", + "Ġproduc er", + "or a", + "inc ip", + "ans as", + "ĠF ound", + "w an", + "ult y", + "Ġinvest ig", + "ar io", + "or ing", + "Ġm ethod", + "Ġwh ose", + "um ents", + "ell ed", + "c her", + "Ġpl ann", + "Ġpart s", + "Ġact ive", + "ĠA rab", + "ill a", + "ĠH on", + "ĠS il", + "Ġrepresent ed", + "ĠL iber", + "in ent", + "ĠM os", + "Ġmov ement", + "b ased", + "ĠR h", + "Ġprim ary", + "ig a", + "Ġcult ure", + "Ġprov ide", + "Ġp ark", + "Ġrelations hip", + "Ġplay s", + "Ġfam ilies", + "Ġsc ient", + "ĠF in", + "Ġpr ison", + "Ġde al", + "ĠS eries", + "Ġorgan iz", + "ĠM od", + "Ġf ar", + "Ġp red", + "Ġn orthern", + "Ġbeh ind", + "Ġp urch", + "Ġs outhern", + "ĠO ld", + "ong s", + "al i", + "cl us", + "at i", + "Ġt ax", + "ĠT ro", + "D uring", + "all ery", + "pos ition", + "ig ital", + "ens ion", + "Ġm usical", + "ĠU k", + "Ġs ize", + "ĠCol umb", + "ad y", + "Ġb ank", + "p an", + "ĠT wo", + "Ġl ower", + "se e", + "omet imes", + "Ġl ik", + "w er", + "Ġst e", + "ĠPenn sylvania", + "ĠSp ain", + "Ġb rought", + "Ġgo als", + "M en", + "ĠM ill", + "\" )", + "Ġread ing", + "tain ed", + "erg y", + "Ġco ast", + "Ġnew sp", + "Ġout side", + "ar ing", + "Ġorgan ization", + "Ġac adem", + "im b", + "ĠJos eph", + "Ġs us", + "Ġcolle ction", + "il s", + "he t", + "ĠReg ister", + "Ġ198 3", + "ĠF ort", + "Ġc ut", + "ur b", + "ĠB attle", + "ĠF C", + "Ġp ers", + "all ed", + "Ġdef eat", + "Ġr ather", + "or se", + "ĠL ove", + "Ġclos ed", + "Ġf all", + "Ġindust ry", + "Ġwrit ing", + "l a", + "Ġn etwork", + "end s", + "Ġg irl", + "ic ro", + "Ġend ed", + "ĠO ther", + "ĠW ood", + "Ġrun s", + "c el", + "I D", + "Ġc ricket", + "Ġdram a", + "Ġman ufact", + "aw a", + "Ġc are", + "ir m", + "Ġfor ce", + "pec ially", + "Ġsh ot", + "isc o", + "ĠS k", + "Ġfootball er", + "i h", + "Ġ198 2", + "anc ial", + "ĠS un", + "Ġsystem s", + "Ġg e", + "it ors", + "Ġ esc", + "m ark", + "N A", + "ul ation", + "oun ter", + "Ġposs ible", + "Ġw ood", + "ĠMart in", + "ĠO per", + "Ġk ing", + "à §", + "Ġreg ard", + "Ġmat ches", + "ing u", + "if t", + "Ġallow ed", + "ĠBo ard", + "Ġstud ies", + "m ond", + "a o", + "Ġob ject", + "ven ue", + "Ġal most", + "Ġne g", + "Ġmag azine", + "Ġreg ular", + "Ġstruct ure", + "in ary", + "em ic", + "Ġst op", + "id er", + "Ġchang ed", + "ĠS er", + "l ike", + "9 0", + "enn is", + "stru ct", + "Ġcomm ission", + "Ġfre qu", + "in ated", + "k o", + "Ġ197 2", + "i y", + "back ground", + "A ll", + "et ts", + "o ir", + "Ġis land", + "c ing", + "ĠT imes", + "ĠG reek", + "is ions", + "ĠC ur", + "Ġh ard", + "Ġ197 9", + "Ġpl at", + "Ġsch ol", + "ĠVal ley", + "Ġset tle", + "Ġd en", + "Ġlaun ched", + "Ġw oman", + "ĠAt lant", + "Ġb all", + "Ġoper ations", + "3 5", + "it iz", + "air man", + "ain ing", + "ent h", + "velop ment", + "J ohn", + "ov ers", + "ĠS ub", + "ĠC am", + "ĠTe am", + "ac ing", + "Ġbeg inning", + "Ġperson al", + "Ġb en", + "it tle", + "ĠDe f", + "Ġter rit", + "Ġto wards", + "ro s", + "S he", + "Ġtrans port", + "ĠCh ief", + "ĠPro fess", + "ĠF red", + "ĠSp ace", + "Ġown ed", + "Ġmanag er", + "Ġdet erm", + "Ġt aking", + "Ġf ood", + "Ġent er", + "Ġacc ording", + "ĠH ot", + "Ġc ases", + "ĠRes earch", + "ĠYou ng", + "Ġte xt", + "Ġgen us", + "ĠH a", + "r ich", + "ĠF re", + "Ġn ames", + "Ġind ependent", + "ĠC ross", + "Ġle t", + "f ect", + "Ġwh om", + "us band", + "ly ing", + "Ġp ay", + "Ġdestro y", + "C an", + "ĠD ou", + "Ġsc ience", + "Ġrem ov", + "p ress", + "Ġm er", + "Ġoffic er", + "Ġ197 6", + "st ate", + "ĠB us", + "ĠLe e", + "c ient", + "Ġc red", + "7 5", + "Ġsc ore", + "Ġapprox imately", + "ĠH aw", + "b on", + "Ġmin or", + "Ġob serv", + "Ġcomp let", + "Ġbre ak", + "ĠS pec", + "in et", + "ĠC D", + "Ġv eh", + "ib ility", + "ino is", + "Ġfun ction", + "Ġe ver", + "ĠO ut", + "Ġsc reen", + "Ġar my", + "Ġ198 1", + "Ġsp ent", + "Ġconc ern", + "ĠH ow", + "b ury", + "ĠJ im", + "o id", + "ĠI ran", + "pe cted", + "Ġaddition al", + "w w", + "ĠC le", + "Ġsqu ad", + "Ġph il", + "R es", + "Ġnot ed", + "Ġst ri", + "en ced", + "Ġcomple x", + "Ġs elf", + "Ġbo x", + "ak a", + "ĠB ank", + "Ġ i", + "ach us", + "Ġc eleb", + "if y", + "ost on", + "Ġc ounty", + "Ġiss ues", + "ĠE ducation", + "ain e", + "ĠO x", + "ĠI nt", + "ĠM o", + "il ed", + "Ġch ief", + "en ces", + "Ġsen ior", + "4 5", + "Ġmon th", + "ĠDemocrat ic", + "Ġb attle", + "a ction", + "ĠP ak", + "p on", + "Ġcom mercial", + "Ġl ived", + "ol s", + "Ġs ummer", + "Ġele ctions", + ": #", + "S A", + "ĠEng ine", + "Ġits elf", + "k ing", + "w ith", + "ĠE v", + "Ġ197 4", + "Ġprom ot", + "Ġmult iple", + "ig g", + "Ġ196 8", + "ĠS outhern", + "Ġ197 8", + "uf fer", + "Ġrel ated", + "read y", + "ĠB ul", + "ĠC ivil", + "Ġn ar", + "ay a", + "Ġpolitic ians", + "ĠS ocial", + "Ġfoc us", + "er ry", + "Ġhig hest", + "Ġd ate", + "G en", + "Ġro ute", + "Ġs at", + "Ġso on", + "ĠT w", + "i as", + "ĠMich igan", + "ĠII I", + "d own", + "Ġtradition al", + "Ġto o", + "Ġf uture", + "ĠPol and", + "Ġd on", + "ĠC amb", + "Ġmon ey", + "Ġlit tle", + "ĠL ife", + "Ġqu est", + "ĠV i", + "Ġes pecially", + "m m", + "ĠS pr", + "Ġopen ing", + "ard en", + "Ġhig her", + "ĠS ar", + "ac her", + "Ġlo ok", + "B l", + "arri age", + "Ġ197 5", + "ĠP rem", + "y an", + "ĠS ol", + "18 8", + "Ġrequ ired", + "achus etts", + "ĠJ e", + "es h", + "ĠB re", + "um s", + "and s", + "Ġp aint", + "ir a", + "Ġun ion", + "ĠL uc", + "Ġinter view", + "al le", + "em porary", + "B rit", + "ĠBrit ain", + "Ġen vironment", + "i Äĩ", + "ĠScot land", + "ĠIn c", + "Ġc al", + "ob al", + "im a", + "Ġappear ance", + "Ġcont ains", + "h ouse", + "Ġ194 5", + "M ed", + "k ins", + "Ġbel ow", + "ad or", + "ĠOh io", + "bur gh", + "Ġproper ty", + "Ġpri or", + "ĠM ah", + "ri e", + "ĠD utch", + "ĠJ ack", + "ĠJ ersey", + "w a", + "Ġvict ory", + "A ust", + "Ġset t", + "ch ange", + "Ġ197 7", + "ro wn", + "Ġent ered", + "Ġme ans", + "Ġsele cted", + "ĠM at", + "ĠH el", + "Ġstud ied", + "ĠRail way", + "Ġdec ision", + "ĠEd ward", + "Å ¡", + "Ġed itor", + "ĠK ent", + "Ġh usband", + "ĠPhil ipp", + "ĠJ o", + "Ġpract ice", + "Ġsur round", + "st anding", + "Ġloc ation", + "Ġpro f", + "ut en", + "Ġ194 0", + "N ational", + "ĠAs ian", + "ĠPac ific", + "Ġe mer", + "Ġassoci ated", + "n o", + "emor ial", + "Ġun it", + "3 3", + "ĠL ine", + "vent ion", + "j a", + "Ġm ission", + "Ġ197 3", + "Ġstruct ures", + "Ġb ass", + "Y ear", + "ĠJ ud", + "Ġmur der", + "Ġtr ade", + "Ġr ad", + "ĠIll inois", + "Ð °", + "N E", + "ĠM ost", + "Ġcer tain", + "ĠR adio", + "op er", + "Ġcent re", + "d s", + "Ġ197 1", + "v ey", + "ĠNew s", + "Ġstand ard", + "ĠCon ference", + "Ġret ired", + "Ġse at", + "Ġad op", + "Ġearl ier", + "Ġship s", + "Ġsup er", + "S ports", + "Ġar ran", + "ĠL ong", + "Ġdep artment", + "Ġmanag ement", + "Ġrun ning", + "200 7", + "ĠQue en", + "Ġ 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\ No newline at end of file From 564813f074227b4b1a4ed4f19efd212a29b46aee Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 12:37:31 +0700 Subject: [PATCH 080/209] added MoE sharing --- configs/full_configs/baseline-small-moe.yaml | 91 ++++++++++ models/build_models.py | 5 + models/experimental/moe_weight_sharing.py | 165 ++++++++++++++++++- 3 files changed, 258 insertions(+), 3 deletions(-) create mode 100644 configs/full_configs/baseline-small-moe.yaml diff --git a/configs/full_configs/baseline-small-moe.yaml b/configs/full_configs/baseline-small-moe.yaml new file mode 100644 index 00000000..68a5e05b --- /dev/null +++ b/configs/full_configs/baseline-small-moe.yaml @@ -0,0 +1,91 @@ +model: + k_interior_layers: 1 + lora_rank: 64 + core_model: + core_model_type: ffn_lora_sharing_moe + num_layers: 6 + ffn: + ffn_type: swiglu + ffn_dim: 1072 + normalization: rms_norm + bias: false + lora_rank: 32 + n_experts: 8 + lora_alpha: 1.0 + attn: + attn_type: generic + num_heads: 16 + normalization: rms_norm + group_size: 4 + bias: false + is_causal: true + embedder: + tokenizer_type: bpe-retrain + embedding_model_type: generic + dataset_name: en_wiki + lm_head: + normalization: rms_norm + bias: false + lm_head_type: generic + hidden_dim: 416 + context_window: 512 + vocab_size: 4000 + model_shell_type: standard + embedding_weight_tying: true + positional_encoding_type: rope +trainer: + dropout_scheduler: + dropout_type: constant + dropout: 0.0 + dataset: pints + training: + trainer_type: base_trainer + batch_size: 24 + gradient_accumulation_steps: 20 + max_iters: 80000 + lr_decay_iters: 80000 + warmup_iters: 10000 + eval_interval: 2000 + log_interval: 10 + eval_iters: 500 + checkpoint_interval: 10000.0 + run_profiler: false + eval: + - benchmarks: + - "winograd" + - "hellaswag" + - "arc" + - "mmlu" + - "blimp" + num_samples: 1000 + evaluator: "mcq" + - evaluator: "prog" + optimizer: + name: nanoGPTadamW + lr: 0.0006 + min_lr: 6.0e-05 + weight_decay: 0.1 + beta1: 0.9 + beta2: 0.95 + grad_clip: 1.0 + decay_lr: true + warmup_iters: 10000 + lr_scheduler: + name: cosine + dataloader: + name: standard + datasampling: + name: standard + loss_fn: + name: cross_entropy +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/models/build_models.py b/models/build_models.py index ace24e61..a5c7fb0d 100644 --- a/models/build_models.py +++ b/models/build_models.py @@ -22,6 +22,10 @@ SharedInteriorFFNLora, ) +from models.experimental.moe_weight_sharing import ( + SharedMoE +) + def build_model(model_cfg=None, checkpoint=None): """ @@ -84,6 +88,7 @@ def build_embedding_model(model_cfg): "generic_ffn_qproj_sharing": GenericCProjFFNSharedTransfomer, "ffn_lora_sharing": SharedInteriorFFNLora, "ffn_lora_sharing": SharedInteriorFFNLoraAndCProj, + "ffn_lora_sharing_moe": SharedMoE, } diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index be8422a1..cb4de430 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -3,6 +3,13 @@ """ import torch import math +from models.core_models import GenericTransformer + +from models.components.layers.attention import build_attention +from models.components.layers.feedforward import build_ffn +from models.components.layers.normalization import build_normalization + +from models.components.layers.activations import build_activation class MoELoRA(torch.nn.Module): def __init__( @@ -33,10 +40,9 @@ def __init__( # Initialize main weight matrix self.weight = torch.nn.Parameter(torch.empty((out_features, in_features))) - self.bias = torch.nn.Parameter(torch.zeros(out_features)) # Initialize gate linear - self.gate_linear = torch.nn.Linear(in_features, n_experts) + self.gate_linear = torch.nn.Linear(in_features, n_experts, bias=False) # Initialize LoRA matrices self.lora_experts_U = torch.nn.ParameterList([ @@ -67,4 +73,157 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution effective_weight = self.weight + lora_contribution * self.scaling - return torch.nn.functional.linear(x, effective_weight, self.bias) \ No newline at end of file + return torch.nn.functional.linear(x, effective_weight, self.bias) + +class SharedMoEFFN(torch.nn.Module): + """ """ + def __init__(self, hidden_dim, ffn_dim, lora_rank, n_experts, lora_alpha): + super().__init__() + self.linear_1 = MoELoRA( + in_features=hidden_dim, + out_features=ffn_dim, + lora_rank=lora_rank, + n_experts=n_experts, + lora_alpha=lora_alpha + ) + + self.linear_2 = MoELoRA( + in_features=ffn_dim, + out_features=hidden_dim, + lora_rank=lora_rank, + n_experts=n_experts, + lora_alpha=lora_alpha + ) + self.linear_3 = MoELoRA( + in_features=hidden_dim, + out_features=ffn_dim, + lora_rank=lora_rank, + n_experts=n_experts, + lora_alpha=lora_alpha + ) + + + def forward(self, x): + """ + A simple forward pass through the FFN + """ + return self.linear_2(F.silu(self.linear_1(x)) * self.linear_3(x)) + + +class SharedTransformerBlock(torch.nn.Module): + """ + LoRA shared transformer block + """ + def __init__(self, hidden_dim, context_window, use_rope, ffn_cfg, attn_cfg): + super().__init__() + + # build the attn norm + self.attn_norm = build_normalization( + normalization_name=attn_cfg["normalization"], + dim=hidden_dim, + bias=attn_cfg["bias"], + ) + + # build the attention + self.attn = build_attention( + hidden_dim=hidden_dim, + context_window=context_window, + use_rope=use_rope, + attn_cfg=attn_cfg, + ) + + # build the ffn norm + self.ffn_norm = build_normalization( + normalization_name=ffn_cfg["normalization"], + dim=hidden_dim, + bias=ffn_cfg["bias"], + ) + + # build the ffn block + self.ffn = SharedMoEFFN( + hidden_dim=hidden_dim, + ffn_dim=ffn_cfg["ffn_dim"], + lora_rank=ffn_cfg["lora_rank"], + n_experts=ffn_cfg["n_experts"], + lora_alpha=ffn_cfg["lora_alpha"], + ) + + def forward(self, x, attention_mask=None): + """ + A simple, residual forward + pass through the GPT block. + Args: + x: the input tensor (b, s, h) + attention_mask: the attention mask + Returns: + x: the output tensor (b, s, h) + """ + x = x + self.attn(self.attn_norm(x), attention_mask) + x = x + self.ffn(self.ffn_norm(x)) + return x + + +class SharedMoE(torch.nn.Module): + """ + core model class with shared MoE weights + """ + def __init__(self, model_cfg): + super().__init__() + + # build the transformer + self.transformer = torch.nn.ModuleDict( + { + "drop": torch.nn.Dropout(), + "h": torch.nn.ModuleList( + [ + SharedTransformerBlock( + hidden_dim=model_cfg["hidden_dim"], + context_window=model_cfg["context_window"], + use_rope=model_cfg["positional_encoding_type"] == "rope", + ffn_cfg=model_cfg["core_model"]["ffn"], + attn_cfg=model_cfg["core_model"]["attn"], + ) + for _ in range(model_cfg["core_model"]["num_layers"]) + ] + ), + } + ) + + # share the weights between all ffn blocks + ffn_0 = self.transformer.h[0].ffn + for i in range(1, len(self.transformer.h)): + self.transformer.h[i].ffn.linear_1.weight = ffn_0.linear_1.weight + self.transformer.h[i].ffn.linear_2.gate_linear.weight = ffn_0.linear_2.gate_linear.weight + for j in range(ffn_0.linear_1.n_experts): + self.transformer.h[i].ffn.linear_1.lora_experts_U[j] = ffn_0.linear_1.lora_experts_U[j] + self.transformer.h[i].ffn.linear_1.lora_experts_V[j] = ffn_0.linear_1.lora_experts_V[j] + + self.transformer.h[i].ffn.linear_2.weight = ffn_0.linear_2.weight + self.transformer.h[i].ffn.linear_2.gate_linear.weight = ffn_0.linear_2.gate_linear.weight + for j in range(ffn_0.linear_2.n_experts): + self.transformer.h[i].ffn.linear_2.lora_experts_U[j] = ffn_0.linear_2.lora_experts_U[j] + self.transformer.h[i].ffn.linear_2.lora_experts_V[j] = ffn_0.linear_2.lora_experts_V[j] + + self.transformer.h[i].ffn.linear_3.weight = ffn_0.linear_3.weight + self.transformer.h[i].ffn.linear_3.gate_linear.weight = ffn_0.linear_3.gate_linear.weight + for j in range(ffn_0.linear_3.n_experts): + self.transformer.h[i].ffn.linear_3.lora_experts_U[j] = ffn_0.linear_3.lora_experts_U[j] + self.transformer.h[i].ffn.linear_3.lora_experts_V[j] = ffn_0.linear_3.lora_experts_V[j] + + def forward(self, x): + """ + Pass an input through the model + Args: + x: torch.tensor(B, S, H) + Returns: + x: torch.tensor(B, S, H) + """ + + # apply dropout + x = self.transformer.drop(x) + + # pass through the transformer blocks + for block in self.transformer.h: + x = block(x) + + return x From 1c7cb1d2eadd89e0c8b2098708f5dae621f84fdc Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 12:39:20 +0700 Subject: [PATCH 081/209] added MoE sharing (debugging) --- configs/full_configs/baseline-small-moe.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/configs/full_configs/baseline-small-moe.yaml b/configs/full_configs/baseline-small-moe.yaml index 68a5e05b..4ef0aec3 100644 --- a/configs/full_configs/baseline-small-moe.yaml +++ b/configs/full_configs/baseline-small-moe.yaml @@ -1,6 +1,7 @@ model: k_interior_layers: 1 lora_rank: 64 + checkpoint_path: None core_model: core_model_type: ffn_lora_sharing_moe num_layers: 6 From 84f0afda0db49164955d822798c759dba1871fb7 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 12:39:57 +0700 Subject: [PATCH 082/209] added MoE sharing (debugging) --- train.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/train.py b/train.py index 913ec3fe..3ea3663b 100644 --- a/train.py +++ b/train.py @@ -60,7 +60,7 @@ def basic_main(cfg): """ model, current_iter = build_model( model_cfg=cfg["model"], - checkpoint=cfg["checkpoint_path"] + checkpoint=cfg["model"]["checkpoint_path"] ) model.to(cfg["general"]["device"]) model.train() From 944fc7f0b58caecd49ba0d53429ab2061ec50fab Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 12:42:12 +0700 Subject: [PATCH 083/209] added MoE sharing (debugging) --- configs/full_configs/baseline-small-moe.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/configs/full_configs/baseline-small-moe.yaml b/configs/full_configs/baseline-small-moe.yaml index 4ef0aec3..f08d48a4 100644 --- a/configs/full_configs/baseline-small-moe.yaml +++ b/configs/full_configs/baseline-small-moe.yaml @@ -1,7 +1,7 @@ model: k_interior_layers: 1 lora_rank: 64 - checkpoint_path: None + checkpoint_path: Null core_model: core_model_type: ffn_lora_sharing_moe num_layers: 6 From 87c5e35cd94f34b54484f45c14433be583736b67 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 12:47:46 +0700 Subject: [PATCH 084/209] added MoE sharing (debugging) --- models/build_models.py | 9 +++++++-- train.py | 6 ++++-- trainers/build_trainers.py | 3 ++- 3 files changed, 13 insertions(+), 5 deletions(-) diff --git a/models/build_models.py b/models/build_models.py index a5c7fb0d..ab4bc706 100644 --- a/models/build_models.py +++ b/models/build_models.py @@ -2,6 +2,7 @@ Contains the build functions for the embedder, core model, lm head and the model shell. """ +import torch from models.core_models import GenericFFNSharedTransfomer, GenericTransformer from models.embedding_models import GenericEmbedder @@ -27,7 +28,7 @@ ) -def build_model(model_cfg=None, checkpoint=None): +def build_model(model_cfg=None, checkpoint_path=None, device="cuda"): """ Either initialize or load a model, depending on whether a config or checkpoint was provided @@ -41,8 +42,12 @@ def build_model(model_cfg=None, checkpoint=None): """ # check if model is to be loaded - if checkpoint is not None: + if checkpoint_path is not None: # load model with the correct architecture + checkpoint = torch.load( + checkpoint_path, + map_location=torch.device(device), + ) model = initialize_model(checkpoint["config"]["model"]) # load the model weights diff --git a/train.py b/train.py index 3ea3663b..51a46d4e 100644 --- a/train.py +++ b/train.py @@ -30,7 +30,8 @@ def ddp_main(rank, world_size, cfg): model, current_iter = build_model( model_cfg=cfg["model"], - checkpoint=cfg["checkpoint_path"] + checkpoint_path=cfg["checkpoint_path"], + device=cfg["general"]["device"] ) model.to(cfg["general"]["device"]) model.train() @@ -60,7 +61,8 @@ def basic_main(cfg): """ model, current_iter = build_model( model_cfg=cfg["model"], - checkpoint=cfg["model"]["checkpoint_path"] + checkpoint_path=cfg["model"]["checkpoint_path"], + device=cfg["general"]["device"] ) model.to(cfg["general"]["device"]) model.train() diff --git a/trainers/build_trainers.py b/trainers/build_trainers.py index 6a6930e4..f0b619aa 100644 --- a/trainers/build_trainers.py +++ b/trainers/build_trainers.py @@ -153,7 +153,7 @@ def build_loss_fn(loss_fn_name): } -def build_trainer(cfg, model, gpu_id): +def build_trainer(cfg, model, gpu_id, current_iter): """ Given a config, this function builds a trainer and all relevant components of it. @@ -201,6 +201,7 @@ def build_trainer(cfg, model, gpu_id): val_dataloader=val_dataloader, loss_fn=loss_fn, gpu_id=gpu_id, + current_iter=current_iter, ) return trainer From 8c6b33dae6a89dd012d717d88e213a1893f252d6 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 12:50:28 +0700 Subject: [PATCH 085/209] added MoE sharing (debugging) --- models/experimental/moe_weight_sharing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index cb4de430..ef9af730 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -107,7 +107,7 @@ def forward(self, x): """ A simple forward pass through the FFN """ - return self.linear_2(F.silu(self.linear_1(x)) * self.linear_3(x)) + return self.linear_2(torch.nn.functional.silu(self.linear_1(x)) * self.linear_3(x)) class SharedTransformerBlock(torch.nn.Module): From e9d9ca806c04b52a78b919026cf082e605ddd0ea Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 12:51:22 +0700 Subject: [PATCH 086/209] added MoE sharing (debugging) --- models/experimental/moe_weight_sharing.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index ef9af730..d57d6191 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -70,7 +70,8 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: lora_contribution = torch.zeros_like(self.weight) for i in range(self.n_experts): expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] - lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution + #lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution + lora_contribution += gate[:, i] * expert_contribution effective_weight = self.weight + lora_contribution * self.scaling return torch.nn.functional.linear(x, effective_weight, self.bias) From 95e14fc8e4a3e0d903af2d3109fab2e100be58a2 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 12:52:12 +0700 Subject: [PATCH 087/209] added MoE sharing (debugging) --- models/experimental/moe_weight_sharing.py | 1 + 1 file changed, 1 insertion(+) diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index d57d6191..5dbac0e4 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -71,6 +71,7 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: for i in range(self.n_experts): expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] #lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution + print(gate[:, i].size(), expert_contribution.size()) lora_contribution += gate[:, i] * expert_contribution effective_weight = self.weight + lora_contribution * self.scaling From 98f9f33d2d43cd790b04e40d2a9b0de2dcad7b06 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 12:52:45 +0700 Subject: [PATCH 088/209] added MoE sharing (debugging) --- models/experimental/moe_weight_sharing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index 5dbac0e4..b7165b01 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -71,7 +71,7 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: for i in range(self.n_experts): expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] #lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution - print(gate[:, i].size(), expert_contribution.size()) + print(gate.size(), expert_contribution.size()) lora_contribution += gate[:, i] * expert_contribution effective_weight = self.weight + lora_contribution * self.scaling From a70f819ee4aa945cc6bbd43663f927e7fd1c8e27 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 12:54:12 +0700 Subject: [PATCH 089/209] added MoE sharing (debugging) --- models/experimental/moe_weight_sharing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index b7165b01..1f8c68fc 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -66,7 +66,7 @@ def reset_parameters(self): def forward(self, x: torch.Tensor) -> torch.Tensor: """ Forward pass """ gate = torch.nn.functional.softmax(self.gate_linear(x), dim=-1) - + print(x.size()) lora_contribution = torch.zeros_like(self.weight) for i in range(self.n_experts): expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] From 900defda67c5791ce73d92c1f0e6517f52e68c8d Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 15:07:06 +0700 Subject: [PATCH 090/209] added MoE sharing (debugging) --- models/experimental/moe_weight_sharing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index 1f8c68fc..2ea63674 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -65,7 +65,7 @@ def reset_parameters(self): def forward(self, x: torch.Tensor) -> torch.Tensor: """ Forward pass """ - gate = torch.nn.functional.softmax(self.gate_linear(x), dim=-1) + gate = torch.nn.functional.softmax(self.gate_linear(x[:,-1]), dim=-1) print(x.size()) lora_contribution = torch.zeros_like(self.weight) for i in range(self.n_experts): From 0915d91fd013ce7286dbc0e8ef238156caa2e2eb Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 15:08:30 +0700 Subject: [PATCH 091/209] added MoE sharing (debugging) --- models/experimental/moe_weight_sharing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index 2ea63674..2df27e51 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -72,7 +72,7 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] #lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution print(gate.size(), expert_contribution.size()) - lora_contribution += gate[:, i] * expert_contribution + lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution effective_weight = self.weight + lora_contribution * self.scaling return torch.nn.functional.linear(x, effective_weight, self.bias) From 1e0cf199ea7cc434e842a176b9995f3863d83496 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 15:12:40 +0700 Subject: [PATCH 092/209] added MoE sharing (debugging) --- models/experimental/moe_weight_sharing.py | 83 ++++++++++++++++++++++- 1 file changed, 81 insertions(+), 2 deletions(-) diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index 2df27e51..0a1c04ae 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -11,7 +11,7 @@ from models.components.layers.activations import build_activation -class MoELoRA(torch.nn.Module): +class MoELoRA_old(torch.nn.Module): def __init__( self, in_features: int, @@ -70,13 +70,92 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: lora_contribution = torch.zeros_like(self.weight) for i in range(self.n_experts): expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] - #lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution print(gate.size(), expert_contribution.size()) lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution effective_weight = self.weight + lora_contribution * self.scaling return torch.nn.functional.linear(x, effective_weight, self.bias) +import torch +import math + +class MoELoRA(torch.nn.Module): + def __init__( + self, + in_features: int, + out_features: int, + lora_rank: int, + n_experts: int, + lora_alpha: float = 1.0, + global_gating: bool = False + ): + """ + LoRA MoE implementation + + Args: + in_features (int): Number of input features. + out_features (int): Number of output features. + lora_rank (int): The rank of the LoRA matrices. + n_experts (int): Number of experts. + lora_alpha (float): Scaling factor for the LoRA update. + global_gating (bool): If True, use the same expert for all sequence items. + """ + super().__init__() + self.in_features = in_features + self.out_features = out_features + self.lora_rank = lora_rank + self.n_experts = n_experts + self.lora_alpha = lora_alpha + self.global_gating = global_gating + self.scaling = self.lora_alpha / self.lora_rank + + # Initialize main weight matrix + self.weight = torch.nn.Parameter(torch.empty((out_features, in_features))) + + # Initialize gate linear + self.gate_linear = torch.nn.Linear(in_features, n_experts, bias=False) + + # Initialize LoRA matrices + self.lora_experts_U = torch.nn.ParameterList([ + torch.nn.Parameter(torch.empty((lora_rank, in_features))) + for _ in range(n_experts) + ]) + self.lora_experts_V = torch.nn.ParameterList([ + torch.nn.Parameter(torch.zeros((out_features, lora_rank))) + for _ in range(n_experts) + ]) + + self.reset_parameters() + + def reset_parameters(self): + torch.nn.init.kaiming_uniform_(self.weight, a=math.sqrt(5)) + self.gate_linear.reset_parameters() + for i in range(self.n_experts): + torch.nn.init.kaiming_uniform_(self.lora_experts_U[i], a=math.sqrt(5)) + # V is already initialized to zeros + + def forward(self, x: torch.Tensor) -> torch.Tensor: + """ Forward pass """ + if self.global_gating: + # Use the same mixture for all items in the sequence + gate = torch.nn.functional.softmax(self.gate_linear(x.mean(dim=0)), dim=-1) + lora_contribution = torch.zeros_like(self.weight) + for i in range(self.n_experts): + expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] + lora_contribution += gate[i] * expert_contribution + else: + # Use specific mixtures for each item in the sequence + gate = torch.nn.functional.softmax(self.gate_linear(x), dim=-1) + lora_contribution = torch.zeros_like(self.weight) + for i in range(self.n_experts): + expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] + lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution + + # Add LoRA update to the main weight + updated_weight = self.weight + self.scaling * lora_contribution + return torch.nn.functional.linear(x, updated_weight) + + class SharedMoEFFN(torch.nn.Module): """ """ def __init__(self, hidden_dim, ffn_dim, lora_rank, n_experts, lora_alpha): From c3d55e71503be346f3ec8a5999822e6bfbb6542b Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 15:14:00 +0700 Subject: [PATCH 093/209] added MoE sharing (debugging) --- models/experimental/moe_weight_sharing.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index 0a1c04ae..7c9d9a20 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -149,8 +149,10 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: lora_contribution = torch.zeros_like(self.weight) for i in range(self.n_experts): expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] + expert_contribution = expert_contribution.unsqueeze(0) # Shape: [1, out_features, in_features] lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution + # Add LoRA update to the main weight updated_weight = self.weight + self.scaling * lora_contribution return torch.nn.functional.linear(x, updated_weight) From a532e83d25369ecbe8d6c862b36a4e439fbc146d Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 15:32:09 +0700 Subject: [PATCH 094/209] added MoE sharing (debugging) --- models/experimental/moe_weight_sharing.py | 1 + 1 file changed, 1 insertion(+) diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index 7c9d9a20..6054b6d5 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -150,6 +150,7 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: for i in range(self.n_experts): expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] expert_contribution = expert_contribution.unsqueeze(0) # Shape: [1, out_features, in_features] + print(expert_contribution.size(), gate[:, i].unsqueeze(-1).unsqueeze(-1).size()) lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution From 27c7294ec6a26133236f928ab275a853b00f31f2 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 15:33:54 +0700 Subject: [PATCH 095/209] added MoE sharing (debugging) --- models/experimental/moe_weight_sharing.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index 6054b6d5..48f549d4 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -149,9 +149,11 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: lora_contribution = torch.zeros_like(self.weight) for i in range(self.n_experts): expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] - expert_contribution = expert_contribution.unsqueeze(0) # Shape: [1, out_features, in_features] - print(expert_contribution.size(), gate[:, i].unsqueeze(-1).unsqueeze(-1).size()) - lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution + expert_contribution = expert_contribution.unsqueeze(0).repeat(gate.size(0), 1, 1, 1) # Match batch size and add missing dimensions + lora_contribution[:, i] += gate[:, i] * expert_contribution + #expert_contribution = expert_contribution.unsqueeze(0) # Shape: [1, out_features, in_features] + #print(expert_contribution.size(), gate[:, i].unsqueeze(-1).unsqueeze(-1).size()) + #lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution # Add LoRA update to the main weight From 093d672c625334ebc02bc3ab02763fd470e1373d Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 15:34:40 +0700 Subject: [PATCH 096/209] added MoE sharing (debugging) --- models/experimental/moe_weight_sharing.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index 48f549d4..7b4a5d2d 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -147,6 +147,8 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: # Use specific mixtures for each item in the sequence gate = torch.nn.functional.softmax(self.gate_linear(x), dim=-1) lora_contribution = torch.zeros_like(self.weight) + print(gate.size(), lora_contribution.size()) + exit() for i in range(self.n_experts): expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] expert_contribution = expert_contribution.unsqueeze(0).repeat(gate.size(0), 1, 1, 1) # Match batch size and add missing dimensions From 153bad03c9351f18a9a6e92a9039419357e45f51 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 16:04:52 +0700 Subject: [PATCH 097/209] debugging --- configs/full_configs/baseline-small-moe.yaml | 8 +-- models/experimental/moe_weight_sharing.py | 75 +++++++++++++------- 2 files changed, 52 insertions(+), 31 deletions(-) diff --git a/configs/full_configs/baseline-small-moe.yaml b/configs/full_configs/baseline-small-moe.yaml index f08d48a4..d747b4ee 100644 --- a/configs/full_configs/baseline-small-moe.yaml +++ b/configs/full_configs/baseline-small-moe.yaml @@ -38,10 +38,10 @@ trainer: dropout_scheduler: dropout_type: constant dropout: 0.0 - dataset: pints + dataset: simple_en_wiki training: trainer_type: base_trainer - batch_size: 24 + batch_size: 2 gradient_accumulation_steps: 20 max_iters: 80000 lr_decay_iters: 80000 @@ -81,7 +81,7 @@ trainer: name: cross_entropy general: logging: - wandb_log: true + wandb_log: false wandb_project: SuperTinyLanguageModels paths: output_dir: outputs @@ -89,4 +89,4 @@ general: checkpoint_dir: checkpoints eval_dir: evals seed: 489 - device: cuda + device: cpu diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index 7b4a5d2d..48dd58d4 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -116,14 +116,20 @@ def __init__( self.gate_linear = torch.nn.Linear(in_features, n_experts, bias=False) # Initialize LoRA matrices - self.lora_experts_U = torch.nn.ParameterList([ + self.lora_experts_U = torch.nn.Parameter( + torch.empty((n_experts, lora_rank, in_features)) + ) + self.lora_experts_V = torch.nn.Parameter( + torch.zeros((n_experts, out_features, lora_rank)) + ) + """self.lora_experts_U = torch.nn.ParameterList([ torch.nn.Parameter(torch.empty((lora_rank, in_features))) for _ in range(n_experts) ]) self.lora_experts_V = torch.nn.ParameterList([ torch.nn.Parameter(torch.zeros((out_features, lora_rank))) for _ in range(n_experts) - ]) + ])""" self.reset_parameters() @@ -135,34 +141,34 @@ def reset_parameters(self): # V is already initialized to zeros def forward(self, x: torch.Tensor) -> torch.Tensor: - """ Forward pass """ - if self.global_gating: - # Use the same mixture for all items in the sequence - gate = torch.nn.functional.softmax(self.gate_linear(x.mean(dim=0)), dim=-1) - lora_contribution = torch.zeros_like(self.weight) - for i in range(self.n_experts): - expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] - lora_contribution += gate[i] * expert_contribution - else: - # Use specific mixtures for each item in the sequence - gate = torch.nn.functional.softmax(self.gate_linear(x), dim=-1) - lora_contribution = torch.zeros_like(self.weight) - print(gate.size(), lora_contribution.size()) - exit() - for i in range(self.n_experts): - expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] - expert_contribution = expert_contribution.unsqueeze(0).repeat(gate.size(0), 1, 1, 1) # Match batch size and add missing dimensions - lora_contribution[:, i] += gate[:, i] * expert_contribution - #expert_contribution = expert_contribution.unsqueeze(0) # Shape: [1, out_features, in_features] - #print(expert_contribution.size(), gate[:, i].unsqueeze(-1).unsqueeze(-1).size()) - #lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution + """ + Forward pass where the gating is applied to each element in the + sequence independently + """ + gate = torch.nn.functional.softmax(self.gate_linear(x), dim=-1) #torch.Size([24, 512, 8]) + B, S, E = gate.size() + + # flatten gate along the B & S dim + gate = gate.view(-1, E) # torch.Size([12288, 8]) + x = x.view(-1, self.in_features) # torch.Size([12288, 416]) + lora_weights_U = gate.unsqueeze(2).unsqueeze(3) * self.lora_experts_U # torch.Size([12288, 8, 32, 416]) + # now average over experts + lora_weights_U = lora_weights_U.mean(dim=1) # torch.Size([12288, 1072, 416]) + lora_weights_V = gate.unsqueeze(2).unsqueeze(3) * self.lora_experts_V # torch.Size([12288, 8, 1072, 32]) + # now average over experts + lora_weights_V = lora_weights_V.mean(dim=1) # torch.Size([12288, 1072, 32]) + lora_weights = lora_weights_V @ lora_weights_U # torch.Size([12288, 1072, 416]) # Add LoRA update to the main weight - updated_weight = self.weight + self.scaling * lora_contribution - return torch.nn.functional.linear(x, updated_weight) + updated_weight = self.weight + self.scaling * lora_weights + # apply weights + output = torch.einsum('ij,ikj->ik', x, updated_weight) + return output.view(B, S, self.out_features) + + class SharedMoEFFN(torch.nn.Module): """ """ def __init__(self, hidden_dim, ffn_dim, lora_rank, n_experts, lora_alpha): @@ -279,7 +285,7 @@ def __init__(self, model_cfg): # share the weights between all ffn blocks ffn_0 = self.transformer.h[0].ffn - for i in range(1, len(self.transformer.h)): + """for i in range(1, len(self.transformer.h)): self.transformer.h[i].ffn.linear_1.weight = ffn_0.linear_1.weight self.transformer.h[i].ffn.linear_2.gate_linear.weight = ffn_0.linear_2.gate_linear.weight for j in range(ffn_0.linear_1.n_experts): @@ -296,7 +302,22 @@ def __init__(self, model_cfg): self.transformer.h[i].ffn.linear_3.gate_linear.weight = ffn_0.linear_3.gate_linear.weight for j in range(ffn_0.linear_3.n_experts): self.transformer.h[i].ffn.linear_3.lora_experts_U[j] = ffn_0.linear_3.lora_experts_U[j] - self.transformer.h[i].ffn.linear_3.lora_experts_V[j] = ffn_0.linear_3.lora_experts_V[j] + self.transformer.h[i].ffn.linear_3.lora_experts_V[j] = ffn_0.linear_3.lora_experts_V[j]""" + for i in range(1, len(self.transformer.h)): + self.transformer.h[i].ffn.linear_1.weight = ffn_0.linear_1.weight + self.transformer.h[i].ffn.linear_1.gate_linear.weight = ffn_0.linear_1.gate_linear.weight + self.transformer.h[i].ffn.linear_1.lora_experts_U = ffn_0.linear_1.lora_experts_U + self.transformer.h[i].ffn.linear_1.lora_experts_V = ffn_0.linear_1.lora_experts_V + + self.transformer.h[i].ffn.linear_2.weight = ffn_0.linear_2.weight + self.transformer.h[i].ffn.linear_2.gate_linear.weight = ffn_0.linear_2.gate_linear.weight + self.transformer.h[i].ffn.linear_2.lora_experts_U = ffn_0.linear_2.lora_experts_U + self.transformer.h[i].ffn.linear_2.lora_experts_V = ffn_0.linear_2.lora_experts_V + + self.transformer.h[i].ffn.linear_3.weight = ffn_0.linear_3.weight + self.transformer.h[i].ffn.linear_3.gate_linear.weight = ffn_0.linear_3.gate_linear.weight + self.transformer.h[i].ffn.linear_3.lora_experts_U = ffn_0.linear_3.lora_experts_U + self.transformer.h[i].ffn.linear_3.lora_experts_V = ffn_0.linear_3.lora_experts_V def forward(self, x): """ From e868bce95b3f6c24a874d894129d1931dd89ffa9 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 16:41:24 +0700 Subject: [PATCH 098/209] debugging --- models/experimental/moe_weight_sharing.py | 75 ++++++++++++++++------- train.py | 2 +- 2 files changed, 53 insertions(+), 24 deletions(-) diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index 48dd58d4..4a37eb26 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -145,30 +145,59 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: Forward pass where the gating is applied to each element in the sequence independently """ - gate = torch.nn.functional.softmax(self.gate_linear(x), dim=-1) #torch.Size([24, 512, 8]) - B, S, E = gate.size() - - # flatten gate along the B & S dim - gate = gate.view(-1, E) # torch.Size([12288, 8]) - x = x.view(-1, self.in_features) # torch.Size([12288, 416]) - lora_weights_U = gate.unsqueeze(2).unsqueeze(3) * self.lora_experts_U # torch.Size([12288, 8, 32, 416]) - # now average over experts - lora_weights_U = lora_weights_U.mean(dim=1) # torch.Size([12288, 1072, 416]) - - lora_weights_V = gate.unsqueeze(2).unsqueeze(3) * self.lora_experts_V # torch.Size([12288, 8, 1072, 32]) - # now average over experts - lora_weights_V = lora_weights_V.mean(dim=1) # torch.Size([12288, 1072, 32]) - - lora_weights = lora_weights_V @ lora_weights_U # torch.Size([12288, 1072, 416]) - # Add LoRA update to the main weight - updated_weight = self.weight + self.scaling * lora_weights - - - # apply weights - output = torch.einsum('ij,ikj->ik', x, updated_weight) - return output.view(B, S, self.out_features) - + if self.global_gating: + gate = torch.nn.functional.softmax(self.gate_linear(x[:,-1]), dim=-1) # torch.Size([2, 8]) torch.Size([8, 32, 416]) torch.Size([8, 1072, 32]) + lora_weights_U = torch.einsum('bi,ijk->bjk', gate, self.lora_experts_U) # resulting shape: [2, 32, 416] + lora_weights_V = torch.einsum('bi,ijk->bjk', gate, self.lora_experts_V) # resulting shape: [2, 1072, 32] + # combine + lora_weights = torch.einsum('bij,bjk->bik', lora_weights_V, lora_weights_U) # resulting shape: [2, 1072, 416] + # apply + updated_weight = self.weight + self.scaling * lora_weights + #print(x.size(), updated_weight.size()) # torch.Size([2, 512, 416]) torch.Size([2, 1072, 416]) + #input() + output = torch.einsum("bsh,bfh->bsf", x, updated_weight) + return output + else: + gate = torch.nn.functional.softmax(self.gate_linear(x), dim=-1) #torch.Size([24, 512, 8]) + B, S, E = gate.size() + + # flatten gate along the B & S dim + gate = gate.view(-1, E) # torch.Size([12288, 8]) + x = x.view(-1, self.in_features) # torch.Size([12288, 416]) + + lora_weights = self.lora_experts_V @ self.lora_experts_U # torch.Size([8, 1072, 416]) + # Add LoRA update to the main weight + updated_weight = self.weight + self.scaling * lora_weights # torch.Size([8, 1072, 416]) + # apply weights + #print(updated_weight.size(), x.size()) # torch.Size([8, 1072, 416]) torch.Size([1024, 416]) + output = torch.einsum('ijk,bk->bij', updated_weight, x) # torch.Size([1024, 8, 1072]) + # apply the gates across the second dim and pool + #print(gate.size(), output.size()) # torch.Size([1024, 8]) torch.Size([1024, 8, 1072]) + output = torch.sum(gate.unsqueeze(2) * output, dim=1) + #output = torch.einsum('ij,ikj->ik', gate, output) # torch.Size([12288, 1072]) + return output.view(B, S, self.out_features) + + input(output.size()) + output = torch.einsum('ij,ikj->ik', x, updated_weight) # torch.Size([12288, 1072]) + input(updated_weight.size()) + lora_weights_U = gate.unsqueeze(2).unsqueeze(3) * self.lora_experts_U # torch.Size([12288, 8, 32, 416]) + # now average over experts + lora_weights_U = lora_weights_U.mean(dim=1) # torch.Size([12288, 1072, 416]) + + lora_weights_V = gate.unsqueeze(2).unsqueeze(3) * self.lora_experts_V # torch.Size([12288, 8, 1072, 32]) + # now average over experts + lora_weights_V = lora_weights_V.mean(dim=1) # torch.Size([12288, 1072, 32]) + + lora_weights = lora_weights_V @ lora_weights_U # torch.Size([12288, 1072, 416]) + # Add LoRA update to the main weight + updated_weight = self.weight + self.scaling * lora_weights + + + # apply weights + output = torch.einsum('ij,ikj->ik', x, updated_weight) + return output.view(B, S, self.out_features) + class SharedMoEFFN(torch.nn.Module): """ """ def __init__(self, hidden_dim, ffn_dim, lora_rank, n_experts, lora_alpha): diff --git a/train.py b/train.py index 51a46d4e..4064cbb6 100644 --- a/train.py +++ b/train.py @@ -30,7 +30,7 @@ def ddp_main(rank, world_size, cfg): model, current_iter = build_model( model_cfg=cfg["model"], - checkpoint_path=cfg["checkpoint_path"], + checkpoint_path=cfg["model"]["checkpoint_path"], device=cfg["general"]["device"] ) model.to(cfg["general"]["device"]) From 5bb5388c9d9865151384765262250bed3ec68fd4 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 16:52:09 +0700 Subject: [PATCH 099/209] debugging --- models/experimental/moe_weight_sharing.py | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index 4a37eb26..ccf9422b 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -87,7 +87,7 @@ def __init__( lora_rank: int, n_experts: int, lora_alpha: float = 1.0, - global_gating: bool = False + global_gating: bool = True ): """ LoRA MoE implementation @@ -147,6 +147,17 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: """ if self.global_gating: gate = torch.nn.functional.softmax(self.gate_linear(x[:,-1]), dim=-1) # torch.Size([2, 8]) torch.Size([8, 32, 416]) torch.Size([8, 1072, 32]) + + lora_weights = self.lora_experts_V @ self.lora_experts_U + updated_weight = self.weight + self.scaling * lora_weights + #print(x.size(), updated_weight.size()) # torch.Size([2, 512, 416]) torch.Size([8, 1072, 416]) + #input() + output = torch.einsum('bsh,efh->bef', x, updated_weight) # torch.Size([2, 8, 1072]) + + output = torch.sum(gate.unsqueeze(2) * output, dim=1) + return output + input(output.size()) + lora_weights_U = torch.einsum('bi,ijk->bjk', gate, self.lora_experts_U) # resulting shape: [2, 32, 416] lora_weights_V = torch.einsum('bi,ijk->bjk', gate, self.lora_experts_V) # resulting shape: [2, 1072, 32] # combine From e401051c03351e11ccf318a22b1ba9751ea75d70 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Mon, 9 Sep 2024 16:56:33 +0700 Subject: [PATCH 100/209] speed-up --- models/experimental/moe_weight_sharing.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index ccf9422b..e3229534 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -152,9 +152,8 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: updated_weight = self.weight + self.scaling * lora_weights #print(x.size(), updated_weight.size()) # torch.Size([2, 512, 416]) torch.Size([8, 1072, 416]) #input() - output = torch.einsum('bsh,efh->bef', x, updated_weight) # torch.Size([2, 8, 1072]) - - output = torch.sum(gate.unsqueeze(2) * output, dim=1) + output = torch.einsum('bsh,efh->besf', x, updated_weight) # torch.Size([2, 8, 1072]) + output = torch.sum(gate.unsqueeze(2).unsqueeze(3) * output, dim=1) return output input(output.size()) From 17d3de1c4e849101617faf2ed27a250ad21c9263 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 12:03:46 +0700 Subject: [PATCH 101/209] added new datasets --- configs/full_configs/baseline-small copy.yaml | 89 ++++++ configs/full_configs/baseline-small.yaml | 5 +- configs/generator/baseline.yaml | 12 +- generate.py | 32 ++- models/experimental/weight_sharing-old.py | 74 +++++ models/generator.py | 98 ++++++- trainers/utils.py | 270 +++++++++++++++++- 7 files changed, 560 insertions(+), 20 deletions(-) create mode 100644 configs/full_configs/baseline-small copy.yaml create mode 100644 models/experimental/weight_sharing-old.py diff --git a/configs/full_configs/baseline-small copy.yaml b/configs/full_configs/baseline-small copy.yaml new file mode 100644 index 00000000..d73d823b --- /dev/null +++ b/configs/full_configs/baseline-small copy.yaml @@ -0,0 +1,89 @@ +model: + k_interior_layers: 1 + lora_rank: 64 + checkpoint_path: Null + core_model: + core_model_type: ffn_lora_sharing + num_layers: 6 + ffn: + ffn_type: swiglu + ffn_dim: 1072 + normalization: rms_norm + bias: false + attn: + attn_type: generic + num_heads: 16 + normalization: rms_norm + group_size: 4 + bias: false + is_causal: true + embedder: + tokenizer_type: bpe-retrain + embedding_model_type: generic + dataset_name: en_wiki + lm_head: + normalization: rms_norm + bias: false + lm_head_type: generic + hidden_dim: 416 + context_window: 2048 + vocab_size: 4000 + model_shell_type: standard + embedding_weight_tying: true + positional_encoding_type: rope +trainer: + dropout_scheduler: + dropout_type: constant + dropout: 0.0 + dataset: tiny_pile + training: + trainer_type: base_trainer + batch_size: 24 + gradient_accumulation_steps: 20 + max_iters: 30000 + lr_decay_iters: 30000 + warmup_iters: 5000 + eval_interval: 2000 + log_interval: 10 + eval_iters: 500 + checkpoint_interval: 10000.0 + run_profiler: false + eval: + - benchmarks: + - "winograd" + - "hellaswag" + - "arc" + - "mmlu" + - "blimp" + num_samples: 1000 + evaluator: "mcq" + - evaluator: "prog" + optimizer: + name: nanoGPTadamW + lr: 0.0006 + min_lr: 6.0e-05 + weight_decay: 0.1 + beta1: 0.9 + beta2: 0.95 + grad_clip: 1.0 + decay_lr: true + warmup_iters: 5000 + lr_scheduler: + name: cosine + dataloader: + name: standard + datasampling: + name: standard + loss_fn: + name: cross_entropy +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/full_configs/baseline-small.yaml b/configs/full_configs/baseline-small.yaml index 16274c36..9dd032bf 100644 --- a/configs/full_configs/baseline-small.yaml +++ b/configs/full_configs/baseline-small.yaml @@ -1,6 +1,7 @@ model: k_interior_layers: 1 lora_rank: 64 + checkpoint_path: Null core_model: core_model_type: ffn_lora_sharing num_layers: 6 @@ -25,7 +26,7 @@ model: bias: false lm_head_type: generic hidden_dim: 416 - context_window: 512 + context_window: 2048 vocab_size: 4000 model_shell_type: standard embedding_weight_tying: true @@ -34,7 +35,7 @@ trainer: dropout_scheduler: dropout_type: constant dropout: 0.0 - dataset: pints + dataset: tiny_pile training: trainer_type: base_trainer batch_size: 24 diff --git a/configs/generator/baseline.yaml b/configs/generator/baseline.yaml index a62d72b7..38a69cbd 100644 --- a/configs/generator/baseline.yaml +++ b/configs/generator/baseline.yaml @@ -1,4 +1,8 @@ -temperature: 0.8 -top_k: 10 -max_new_tokens: 300 -input_text: "Earth is the third planet from the Sun and the only astronomical object known to harbor life. This is enabled by Earth being an ocean world, the only one in the Solar System sustaining liquid surface water." +temperature: 1.2 +top_k: 200 +max_new_tokens: 100 +beam_width: 15 +use_sampling: true +repetition_penalty: 1.2 +repetition_window: 32 +input_text: "Let's consider a simple Python program that adds two integers." diff --git a/generate.py b/generate.py index cc5b8ea5..70eaf70a 100644 --- a/generate.py +++ b/generate.py @@ -6,7 +6,10 @@ import torch from models.build_models import build_model -from models.generator import StandardGenerator +from models.generator import ( + StandardGenerator, + BeamSearchGenerator +) @hydra.main(config_path="configs", config_name="generate") @@ -17,16 +20,27 @@ def main(cfg): cfg["model_ckpt"] = hydra.utils.to_absolute_path(cfg["model_ckpt"]) # load checkpoint from the path - model = build_model(checkpoint=torch.load(cfg["model_ckpt"])) - - generator = StandardGenerator(model=model, generate_cfg=cfg["generator"]) - - while True: - # generate the text + device = "cpu" if not torch.cuda.is_available() else "cuda" + model = build_model( + checkpoint_path=cfg["model_ckpt"], + device=device + )[0] + + # put model into eval mode + model.eval() + + generator = BeamSearchGenerator( + model=model, + generate_cfg=cfg["generator"], + device=device + ) + + # generate the text + for _ in range(5): generated_text = generator.default_generate( - input_text=input("Enter the input text: ") + input_text=cfg["generator"]["input_text"] ) - print(generated_text) + print("".join(generated_text)) if __name__ == "__main__": diff --git a/models/experimental/weight_sharing-old.py b/models/experimental/weight_sharing-old.py new file mode 100644 index 00000000..19a777c6 --- /dev/null +++ b/models/experimental/weight_sharing-old.py @@ -0,0 +1,74 @@ +from models.core_models import GenericTransformer +import torch +from torch import nn +# params: k_interior_layers, lora_rank + +class LoRA(nn.Module): + def __init__(self, linear_layer, lora_rank): + """Wraps the linear layer with LoRA""" + super().__init__() + self.linear_layer = linear_layer + self.lora_rank = lora_rank + self.U = nn.Linear(linear_layer.in_features, lora_rank) + self.V = nn.Linear(lora_rank, linear_layer.out_features) + + def forward(self, x): + """Forward pass through the linear layer with LoRA""" + # compute the LoRA weight matrix + return self.linear_layer(x) + self.V(self.U(x)) + +class SharedInteriorFFNLora(GenericTransformer): + def __init__(self, model_cfg): + super().__init__(model_cfg) + self.k_interior_layers = model_cfg["k_interior_layers"] + self.lora_rank = model_cfg["lora_rank"] + # share the weights between transformer blocks in layers 1+k_interior_layers to D-k_interior_layers + base_layer = 1 + self.k_interior_layers + ffn_0 = self.transformer.h[base_layer].ffn + shared_weights = {} + for name, module in ffn_0.named_modules(): + if isinstance(module, torch.nn.Linear): + shared_weights[name] = module.weight + for i in range(1 + self.k_interior_layers, len(self.transformer.h) - self.k_interior_layers): + for name, module in self.transformer.h[i].ffn.named_modules(): + if isinstance(module, torch.nn.Linear): + module.weight = shared_weights[name] + # wrap the linear layer with LoRA + if self.lora_rank is not None: + setattr(self.transformer.h[i].ffn, name, LoRA(module, self.lora_rank)) + +class SharedInteriorFFNLoraAndCProj(GenericTransformer): + def __init__(self, model_cfg): + super().__init__(model_cfg) + self.k_interior_layers = model_cfg["k_interior_layers"] + self.lora_rank = model_cfg["lora_rank"] + # share the weights between transformer blocks in layers 1+k_interior_layers to D-k_interior_layers + base_layer = 1 + self.k_interior_layers + ffn_0 = self.transformer.h[base_layer].ffn + shared_weights = {} + for name, module in ffn_0.named_modules(): + if isinstance(module, torch.nn.Linear): + shared_weights[name] = module.weight + for i in range(1 + self.k_interior_layers, len(self.transformer.h) - self.k_interior_layers): + for name, module in self.transformer.h[i].ffn.named_modules(): + if isinstance(module, torch.nn.Linear): + module.weight = shared_weights[name] + # wrap the linear layer with LoRA + if self.lora_rank is not None: + setattr(self.transformer.h[i].ffn, name, LoRA(module, self.lora_rank)) + + # share the c_proj for interior layers + cproj_0 = self.transformer.h[base_layer].attn.c_proj + shared_weights = {} + for name, module in cproj_0.named_modules(): + if isinstance(module, torch.nn.Linear): + shared_weights[name] = module.weight + for i in range(1 + self.k_interior_layers, len(self.transformer.h) - self.k_interior_layers): + for name, module in self.transformer.h[i].attn.c_proj.named_modules(): + if isinstance(module, torch.nn.Linear): + module.weight = shared_weights[name] + # wrap the linear layer with LoRA + if self.lora_rank is not None: + setattr(self.transformer.h[i].attn, name, LoRA(module, self.lora_rank)) + + \ No newline at end of file diff --git a/models/generator.py b/models/generator.py index aed6c5bf..33b4ab1c 100644 --- a/models/generator.py +++ b/models/generator.py @@ -3,16 +3,106 @@ """ import torch +import torch.nn.functional as F +class BeamSearchGenerator(torch.nn.Module): + def __init__(self, model, generate_cfg, device="cuda"): + super().__init__() + self.model = model + self.device = device + self.model = self.model.to(torch.device(self.device)) + self.generate_config = generate_cfg + + def default_generate(self, input_text): + return self.generate( + input_text, + self.generate_config["max_new_tokens"], + self.generate_config["temperature"], + self.generate_config["top_k"], + self.generate_config.get("beam_width", 5), + self.generate_config.get("use_sampling", False), + self.generate_config.get("repetition_penalty", 1.2), + self.generate_config.get("repetition_window", 32) + ) + + @torch.no_grad() + def generate(self, input_text, max_new_tokens, temperature=1.0, top_k=None, beam_width=5, + use_sampling=False, repetition_penalty=1.2, repetition_window=32): + idx = self.model.embedding_model.tokenize_input(input_string=input_text, add_eot=False, truncate=True) + idx = torch.tensor(idx).unsqueeze(0).to(torch.device(self.device)) + + # Initialize beam with the input sequence + beam = [(idx, 0.0)] + + for _ in range(max_new_tokens): + all_candidates = [] + for seq, score in beam: + # Get logits for the entire sequence + logits = self.model.inference(seq)[0] + # Consider only the last token's logits + last_token_logits = logits / temperature + + # Apply repetition penalty + if repetition_penalty > 1.0: + self.apply_repetition_penalty(last_token_logits, seq, repetition_penalty, repetition_window) + + if top_k is not None: + v, _ = torch.topk(last_token_logits, min(top_k, last_token_logits.size(-1))) + last_token_logits[last_token_logits < v[:, [-1]]] = -float("Inf") + + probs = F.softmax(last_token_logits, dim=-1) + + if use_sampling: + # Sampling + sampled_indices = torch.multinomial(probs, num_samples=beam_width) + top_indices = sampled_indices[0] + top_probs = probs[0, top_indices] + else: + # Greedy selection + top_probs, top_indices = torch.topk(probs, k=beam_width) + top_probs = top_probs[0] + top_indices = top_indices[0] + + for prob, idx_next in zip(top_probs, top_indices): + new_seq = torch.cat([seq, idx_next.unsqueeze(0).unsqueeze(0)], dim=1) + new_score = score - torch.log(prob).item() + all_candidates.append((new_seq, new_score)) + + # Select top beam_width candidates + beam = sorted(all_candidates, key=lambda x: x[1])[:beam_width] + + # Check if any beam has generated EOT token + #if any(seq[0, -1] == self.model.embedding_model.eot_token for seq, _ in beam): + # break + + # Return the sequence with the best score + best_seq, _ = min(beam, key=lambda x: x[1]) + return self.model.embedding_model.decode(best_seq[0].tolist()) + + def apply_repetition_penalty(self, logits, sequence, penalty, window): + # Get the most recent tokens within the window + recent_tokens = sequence[0, -window:] + + # Count the occurrences of each token + unique_tokens, counts = torch.unique(recent_tokens, return_counts=True) + + # Apply penalty to the logits of repeated tokens + logits[0, unique_tokens] /= penalty ** counts.float() + + + +def build_generator(model, generate_cfg): + return BeamSearchGenerator(model, generate_cfg) class StandardGenerator(torch.nn.Module): """Standard Generator Wrapper for GPT models""" - def __init__(self, model, generate_cfg): + def __init__(self, model, generate_cfg, device="cuda"): """Initialize the model and the configuration""" super().__init__() self.model = model - self.model = self.model.to(torch.device("cuda")) + self.device = device + self.model = self.model.to(torch.device(device)) self.generate_config = generate_cfg def default_generate(self, input_text): @@ -37,10 +127,10 @@ def generate(self, input_text, max_new_tokens, temperature=1.0, top_k=None): add_eot=False, truncate=True) # push to device - idx = torch.tensor(idx).unsqueeze(0).to(torch.device("cuda")) + idx = torch.tensor(idx).unsqueeze(0).to(torch.device(self.device)) for _ in range(max_new_tokens): # forward the model to get the logits for the index in the sequence - logits = self.model.inference(idx) + logits = self.model.inference(idx)[0] # pluck the logits at the final step and scale by desired temperature logits = logits / temperature # logits have shape (b,t,v) diff --git a/trainers/utils.py b/trainers/utils.py index b46bbeb4..97bb058f 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -117,6 +117,256 @@ def load_competition_math_dataset(): return dataset +def load_open_hermes(): + """ + Load and format the OpenHermes dataset + https://huggingface.co/datasets/teknium/OpenHermes-2.5 + """ + dataset = load_dataset("teknium/OpenHermes-2.5")["train"] + + # format the prompt and answer into a single "text" column + dataset = dataset.map(lambda x: {"text": f"Question: {x['conversations'][0]['value']}\nAnswers: {x['conversations'][1]['value']}"}) + + dataset = DatasetDict({ + "train": dataset, + }) + + return dataset + +def load_supernatural_instructions(): + """ + Load and format the supernatural instructions dataset + https://huggingface.co/datasets/andersonbcdefg/supernatural-instructions-2m + """ + dataset = load_dataset("andersonbcdefg/supernatural-instructions-2m")["train"] + + # format the prompt and answer into a single "text" column + dataset = dataset.map(lambda x: {"text": f"Question: {x['prompt']}\nAnswer: {x['response']}"}) + + dataset = DatasetDict({ + "train": dataset, + }) + + return dataset + +def load_mini_cot(): + """ + Load and format the mini-cot dataset + https://huggingface.co/datasets/nampdn-ai/mini-CoT-Collection + """ + dataset = load_dataset("nampdn-ai/mini-CoT-Collection")["train"] + + # format the prompt and answer into a single "text" column + dataset = dataset.map(lambda x: {"text": f"Question: {x['source']}\nAnswer: {x['rationale']} - {x['target']}"}) + + dataset = DatasetDict({ + "train": dataset, + }) + + return dataset + +def load_mini_ultrachat(): + """ + Load and format the mini-ultrachat dataset + https://huggingface.co/datasets/nampdn-ai/mini-ultrachat + """ + dataset = load_dataset("nampdn-ai/mini-ultrachat")["train"] + + # format the iterative prompt and answer into a single "text" column + dataset = dataset.map( + lambda x: { + "text": "".join( + [ + f"Question: {t}" + if i % 2 == 0 else f"Answer: {t}" + for i, t in enumerate(x['data']) + ] + ) + } + ) + + dataset = DatasetDict({ + "train": dataset, + }) + + return dataset + +def load_textbooks_are_all_you_need_lite(): + """ + Load and format the textbooks are all you need lite dataset + https://huggingface.co/datasets/SciPhi/textbooks-are-all-you-need-lite + """ + dataset = load_dataset("SciPhi/textbooks-are-all-you-need-lite")["train"] + + # format the data + dataset = dataset.map(lambda x: {"text": x["completion"]}) + + dataset = DatasetDict({ + "train": dataset, + }) + + return dataset + +def load_openphi_textbooks(): + """ + Load and format the openphi textbooks dataset + https://huggingface.co/datasets/open-phi/textbooks + """ + dataset = load_dataset("open-phi/textbooks") + + # format the data + dataset = dataset.map(lambda x: {"text": x["markdown"]}) + + dataset = DatasetDict({ + "train": dataset, + }) + + return dataset + + +def load_openphi_programming_books(): + """ + Load and format the openphi programming textbooks dataset + https://huggingface.co/datasets/open-phi/programming_books_llama + """ + dataset = load_dataset("open-phi/programming_books_llama") + + # format the data + dataset = dataset.map(lambda x: {"text": x["markdown"]}) + + dataset = DatasetDict({ + "train": dataset, + }) + + return dataset + + +def load_tiny_codes(): + """ + Load and format the tiny-codes dataset + https://huggingface.co/datasets/nampdn-ai/tiny-codes + """ + dataset = load_dataset("nampdn-ai/tiny-codes")["train"] + + # format the data + dataset = dataset.map(lambda x: {"text": f"Question: {x['prompt']}\nAnswer: {x['response']}"}) + + dataset = DatasetDict({ + "train": dataset, + }) + + return dataset + +def load_tiny_orca_textbooks(): + """ + Load and format the tiny-orca dataset + https://huggingface.co/datasets/nampdn-ai/tiny-orca-textbooks + """ + dataste = load_dataset("nampdn-ai/tiny-orca-textbooks") + + # format the data + dataset = dataset.map(lambda x: {"text": f"{x['textbook']}\n Question: {x['question']}\nAnswer: {x['response']}"}) + + dataset = DatasetDict({ + "train": dataset, + }) + + return dataset + +def load_tiny_lessons(): + """ + Load and format the tiny-lessons dataset + https://huggingface.co/datasets/nampdn-ai/tiny-lessons + """ + dataset = load_dataset("nampdn-ai/tiny-lessons")["train"] + + # format the data + dataset = dataset.map(lambda x: {"text": x['textbook']}) + + dataset = DatasetDict({ + "train": dataset, + }) + + return dataset + +def get_dataset_byte_size(dataset): + """ + Get the byte size of a dataset + """ + return sum([len(item["text"]) for item in dataset]) + +def create_tiny_pile(verbose=False): + """ + Combine multiple high-quality tiny datasets to create the tiny-pile dataset + 1. tiny_textbooks + 2. tiny_codes + 3. tiny_orca_textbooks + 4. tiny_webtext (exclude for now) + 5. tiny_lessons + 6. mini_fineweb + 7. mini_cot + 8. mini_ultrachat + 9. textbooks_are_all_you_need_lite + 10. openphi_textbooks + 11. openphi_programming_books + """ + tiny_textbooks = load_dataset("nampdn-ai/tiny-textbooks")["train"] + tiny_codes = load_tiny_codes()["train"] + tiny_orca_textbooks = load_dataset("nampdn-ai/tiny-orca-textbooks")["train"] + tiny_lessons = load_tiny_lessons()["train"] + mini_fineweb = load_dataset("nampdn-ai/mini-fineweb")["train"] + mini_cot = load_mini_cot()["train"] + mini_ultrachat = load_mini_ultrachat()["train"] + textbooks_are_all_you_need_lite = load_textbooks_are_all_you_need_lite()["train"] + openphi_textbooks = load_openphi_textbooks()["train"] + openphi_programming_books = load_openphi_programming_books()["train"] + + # combine the dataset + combined_dataset = concatenate_datasets([ + tiny_textbooks, + tiny_codes, + tiny_orca_textbooks, + tiny_lessons, + mini_fineweb, + mini_cot, + mini_ultrachat, + textbooks_are_all_you_need_lite, + openphi_textbooks, + openphi_programming_books + ]) + + if verbose: + """ + For each dataset, count the bytes and print the percentage contribution + of each to the full pile dataset + """ + dataset_sizes = { + "tiny_textbooks": get_dataset_byte_size(tiny_textbooks), + "tiny_codes": get_dataset_byte_size(tiny_codes), + "tiny_orca_textbooks": get_dataset_byte_size(tiny_orca_textbooks), + "tiny_lessons": get_dataset_byte_size(tiny_lessons), + "mini_fineweb": get_dataset_byte_size(mini_fineweb), + "mini_cot": get_dataset_byte_size(mini_cot), + "mini_ultrachat": get_dataset_byte_size(mini_ultrachat), + "textbooks_are_all_you_need_lite": get_dataset_byte_size(textbooks_are_all_you_need_lite), + "openphi_textbooks": get_dataset_byte_size(openphi_textbooks), + "openphi_programming_books": get_dataset_byte_size(openphi_programming_books), + } + + total_size = sum(dataset_sizes.values()) + table = PrettyTable(["Dataset", "Byte Size", "Percentage"]) + for dataset_name, size in dataset_sizes.items(): + table.add_row([dataset_name, size, size/total_size*100]) + print(table) + + + combined_dataset = DatasetDict({ + "train": combined_dataset, + }) + + return combined_dataset + + DATASET_DICT = { "debug": lambda: load_dataset("wikimedia/wikipedia", "20231101.simple"), @@ -125,11 +375,29 @@ def load_competition_math_dataset(): "babylm_100m": lambda: load_dataset("Sree1994/babylm_100M"), # https://babylm.github.io/ "tinystories": lambda: load_dataset("roneneldan/TinyStories"), # https://huggingface.co/datasets/roneneldan/TinyStories "stlm": create_stlm_data_mix, - "openhermes-2.5": lambda: load_dataset("teknium/OpenHermes-2.5"), + "openhermes-2.5": lambda: load_open_hermes(), "openwebtext": lambda: load_dataset("Skylion007/openwebtext", trust_remote_code=True), "github-code": lambda: load_github_code_dataset(), "competition_math": lambda: load_competition_math_dataset(), "pints": lambda: load_dataset("pints-ai/Expository-Prose-V1"), + "super_natural_instructions": lambda: load_supernatural_instructions(), + "the_pile": lambda: load_dataset("The Pile", "pile-cc"), + "tiny_textbooks": lambda: load_dataset("nampdn-ai/tiny-textbooks"), + "tiny_codes": lambda: load_tiny_codes(), + #"tiny_math_textbooks": lambda: load_dataset("nampdn-ai/tiny-math-textbooks"), + "tiny_orca_textbooks": lambda: load_dataset("nampdn-ai/tiny-orca-textbooks"), + "tiny_webtext": lambda: load_dataset("nampdn-ai/tiny-webtext"), + "tiny_lessons": lambda: load_tiny_lessons(), + "tiny_bridgedict": lambda: load_dataset("nampdn-ai/tiny-bridgedict"), + "mini_fineweb": lambda: load_dataset("nampdn-ai/mini-fineweb"), + "mini_cot": lambda: load_mini_cot(), + "mini_ultrachat": lambda: load_mini_ultrachat(), + "textbooks_are_all_you_need_lite": lambda: load_textbooks_are_all_you_need_lite(), + "openphi_textbooks": lambda: load_openphi_textbooks(), + "openphi_programming_books": lambda: load_openphi_programming_books(), + "tiny_pile": lambda: create_tiny_pile(), + + } From f2d83f0fbef3b8b87595a004b4a3f838d5954342 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:12:21 +0800 Subject: [PATCH 102/209] added new datasets --- trainers/utils.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/trainers/utils.py b/trainers/utils.py index 97bb058f..e62e9e65 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -303,7 +303,7 @@ def create_tiny_pile(verbose=False): 3. tiny_orca_textbooks 4. tiny_webtext (exclude for now) 5. tiny_lessons - 6. mini_fineweb + 6. mini_fineweb (exclude for now) 7. mini_cot 8. mini_ultrachat 9. textbooks_are_all_you_need_lite @@ -314,7 +314,7 @@ def create_tiny_pile(verbose=False): tiny_codes = load_tiny_codes()["train"] tiny_orca_textbooks = load_dataset("nampdn-ai/tiny-orca-textbooks")["train"] tiny_lessons = load_tiny_lessons()["train"] - mini_fineweb = load_dataset("nampdn-ai/mini-fineweb")["train"] + #mini_fineweb = load_dataset("nampdn-ai/mini-fineweb")["train"] mini_cot = load_mini_cot()["train"] mini_ultrachat = load_mini_ultrachat()["train"] textbooks_are_all_you_need_lite = load_textbooks_are_all_you_need_lite()["train"] @@ -327,7 +327,7 @@ def create_tiny_pile(verbose=False): tiny_codes, tiny_orca_textbooks, tiny_lessons, - mini_fineweb, + #mini_fineweb, mini_cot, mini_ultrachat, textbooks_are_all_you_need_lite, @@ -345,7 +345,7 @@ def create_tiny_pile(verbose=False): "tiny_codes": get_dataset_byte_size(tiny_codes), "tiny_orca_textbooks": get_dataset_byte_size(tiny_orca_textbooks), "tiny_lessons": get_dataset_byte_size(tiny_lessons), - "mini_fineweb": get_dataset_byte_size(mini_fineweb), + #"mini_fineweb": get_dataset_byte_size(mini_fineweb), "mini_cot": get_dataset_byte_size(mini_cot), "mini_ultrachat": get_dataset_byte_size(mini_ultrachat), "textbooks_are_all_you_need_lite": get_dataset_byte_size(textbooks_are_all_you_need_lite), From 3b7cb95c6398711d29001696ee053597ea25b023 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:18:34 +0800 Subject: [PATCH 103/209] added new datasets --- trainers/utils.py | 1 + 1 file changed, 1 insertion(+) diff --git a/trainers/utils.py b/trainers/utils.py index e62e9e65..41b15db0 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -318,6 +318,7 @@ def create_tiny_pile(verbose=False): mini_cot = load_mini_cot()["train"] mini_ultrachat = load_mini_ultrachat()["train"] textbooks_are_all_you_need_lite = load_textbooks_are_all_you_need_lite()["train"] + input(textbooks_are_all_you_need_lite) openphi_textbooks = load_openphi_textbooks()["train"] openphi_programming_books = load_openphi_programming_books()["train"] From 2ddb9667e334b9eb9b7d5ad7db78a5f38012100d Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:20:06 +0800 Subject: [PATCH 104/209] added new datasets --- trainers/utils.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/trainers/utils.py b/trainers/utils.py index 41b15db0..5835314f 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -324,16 +324,16 @@ def create_tiny_pile(verbose=False): # combine the dataset combined_dataset = concatenate_datasets([ - tiny_textbooks, - tiny_codes, - tiny_orca_textbooks, - tiny_lessons, + tiny_textbooks["text"], + tiny_codes["text"], + tiny_orca_textbooks["text"], + tiny_lessons["text"], #mini_fineweb, - mini_cot, - mini_ultrachat, - textbooks_are_all_you_need_lite, - openphi_textbooks, - openphi_programming_books + mini_cot["text"], + mini_ultrachat["text"], + textbooks_are_all_you_need_lite["text"], + openphi_textbooks["text"], + openphi_programming_books["text"] ]) if verbose: From b23a49cf81a34976811d28fb4e91bf17684cb429 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:24:47 +0800 Subject: [PATCH 105/209] added new datasets --- trainers/utils.py | 19 +++++++++++++++++-- 1 file changed, 17 insertions(+), 2 deletions(-) diff --git a/trainers/utils.py b/trainers/utils.py index 5835314f..7a45c2b6 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -289,6 +289,21 @@ def load_tiny_lessons(): return dataset +def load_tiny_orca_textbooks(): + """ + + """ + dataset = load_dataset("nampdn-ai/tiny-orca-textbooks")["train"] + + # format the data + dataset = dataset.map(lambda x: {"text": f"{x['textbook']}\n Question: {x['question']}\nAnswer: {x['response']}"}) + + dataset = DatasetDict({ + "train": dataset, + }) + + return dataset + def get_dataset_byte_size(dataset): """ Get the byte size of a dataset @@ -312,7 +327,7 @@ def create_tiny_pile(verbose=False): """ tiny_textbooks = load_dataset("nampdn-ai/tiny-textbooks")["train"] tiny_codes = load_tiny_codes()["train"] - tiny_orca_textbooks = load_dataset("nampdn-ai/tiny-orca-textbooks")["train"] + tiny_orca_textbooks = load_tiny_orca_textbooks()["train"], tiny_lessons = load_tiny_lessons()["train"] #mini_fineweb = load_dataset("nampdn-ai/mini-fineweb")["train"] mini_cot = load_mini_cot()["train"] @@ -386,7 +401,7 @@ def create_tiny_pile(verbose=False): "tiny_textbooks": lambda: load_dataset("nampdn-ai/tiny-textbooks"), "tiny_codes": lambda: load_tiny_codes(), #"tiny_math_textbooks": lambda: load_dataset("nampdn-ai/tiny-math-textbooks"), - "tiny_orca_textbooks": lambda: load_dataset("nampdn-ai/tiny-orca-textbooks"), + "tiny_orca_textbooks": lambda: load_tiny_orca_textbooks(), "tiny_webtext": lambda: load_dataset("nampdn-ai/tiny-webtext"), "tiny_lessons": lambda: load_tiny_lessons(), "tiny_bridgedict": lambda: load_dataset("nampdn-ai/tiny-bridgedict"), From be5d6dab3ad173a593f7015207b55fe97e7cfdbf Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:26:38 +0800 Subject: [PATCH 106/209] added new datasets --- trainers/utils.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/trainers/utils.py b/trainers/utils.py index 7a45c2b6..38a9eded 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -301,7 +301,7 @@ def load_tiny_orca_textbooks(): dataset = DatasetDict({ "train": dataset, }) - + input(dataset) return dataset def get_dataset_byte_size(dataset): @@ -333,7 +333,6 @@ def create_tiny_pile(verbose=False): mini_cot = load_mini_cot()["train"] mini_ultrachat = load_mini_ultrachat()["train"] textbooks_are_all_you_need_lite = load_textbooks_are_all_you_need_lite()["train"] - input(textbooks_are_all_you_need_lite) openphi_textbooks = load_openphi_textbooks()["train"] openphi_programming_books = load_openphi_programming_books()["train"] From 9464c62cc20f3a6c10f578374c59f81e8c4d1e6d Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:27:24 +0800 Subject: [PATCH 107/209] added new datasets --- trainers/utils.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/trainers/utils.py b/trainers/utils.py index 38a9eded..87f35dd9 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -301,7 +301,6 @@ def load_tiny_orca_textbooks(): dataset = DatasetDict({ "train": dataset, }) - input(dataset) return dataset def get_dataset_byte_size(dataset): @@ -335,7 +334,7 @@ def create_tiny_pile(verbose=False): textbooks_are_all_you_need_lite = load_textbooks_are_all_you_need_lite()["train"] openphi_textbooks = load_openphi_textbooks()["train"] openphi_programming_books = load_openphi_programming_books()["train"] - + input(tiny_orca_textbooks) # combine the dataset combined_dataset = concatenate_datasets([ tiny_textbooks["text"], From 2ae61aa54d67b5f85f07909e9cca34369b9f264f Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:28:16 +0800 Subject: [PATCH 108/209] added new datasets --- trainers/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/utils.py b/trainers/utils.py index 87f35dd9..de1b003f 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -326,7 +326,7 @@ def create_tiny_pile(verbose=False): """ tiny_textbooks = load_dataset("nampdn-ai/tiny-textbooks")["train"] tiny_codes = load_tiny_codes()["train"] - tiny_orca_textbooks = load_tiny_orca_textbooks()["train"], + tiny_orca_textbooks = load_tiny_orca_textbooks()["train"][0], tiny_lessons = load_tiny_lessons()["train"] #mini_fineweb = load_dataset("nampdn-ai/mini-fineweb")["train"] mini_cot = load_mini_cot()["train"] From 707f2fb93c2e43cea13477e5ac0b0c9644fb73fc Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:30:17 +0800 Subject: [PATCH 109/209] added new datasets --- trainers/utils.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/trainers/utils.py b/trainers/utils.py index de1b003f..f20d029e 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -291,7 +291,8 @@ def load_tiny_lessons(): def load_tiny_orca_textbooks(): """ - + Load and format the dataset + https://huggingface.co/datasets/nampdn-ai/tiny-orca-textbooks """ dataset = load_dataset("nampdn-ai/tiny-orca-textbooks")["train"] @@ -326,7 +327,7 @@ def create_tiny_pile(verbose=False): """ tiny_textbooks = load_dataset("nampdn-ai/tiny-textbooks")["train"] tiny_codes = load_tiny_codes()["train"] - tiny_orca_textbooks = load_tiny_orca_textbooks()["train"][0], + tiny_orca_textbooks = load_tiny_orca_textbooks()["train"], tiny_lessons = load_tiny_lessons()["train"] #mini_fineweb = load_dataset("nampdn-ai/mini-fineweb")["train"] mini_cot = load_mini_cot()["train"] From fb20461c72fb9a83650d0118bf472cb91105cdda Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:30:47 +0800 Subject: [PATCH 110/209] added new datasets --- trainers/utils.py | 1 + 1 file changed, 1 insertion(+) diff --git a/trainers/utils.py b/trainers/utils.py index f20d029e..f445f7cb 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -335,6 +335,7 @@ def create_tiny_pile(verbose=False): textbooks_are_all_you_need_lite = load_textbooks_are_all_you_need_lite()["train"] openphi_textbooks = load_openphi_textbooks()["train"] openphi_programming_books = load_openphi_programming_books()["train"] + print(tiny_textbooks) input(tiny_orca_textbooks) # combine the dataset combined_dataset = concatenate_datasets([ From 67fc68b1af28e630e45a706d1c1bfc9df7ebf684 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:31:49 +0800 Subject: [PATCH 111/209] added new datasets --- trainers/utils.py | 16 +--------------- 1 file changed, 1 insertion(+), 15 deletions(-) diff --git a/trainers/utils.py b/trainers/utils.py index f445f7cb..65b9abce 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -262,7 +262,7 @@ def load_tiny_orca_textbooks(): Load and format the tiny-orca dataset https://huggingface.co/datasets/nampdn-ai/tiny-orca-textbooks """ - dataste = load_dataset("nampdn-ai/tiny-orca-textbooks") + dataset = load_dataset("nampdn-ai/tiny-orca-textbooks") # format the data dataset = dataset.map(lambda x: {"text": f"{x['textbook']}\n Question: {x['question']}\nAnswer: {x['response']}"}) @@ -289,20 +289,6 @@ def load_tiny_lessons(): return dataset -def load_tiny_orca_textbooks(): - """ - Load and format the dataset - https://huggingface.co/datasets/nampdn-ai/tiny-orca-textbooks - """ - dataset = load_dataset("nampdn-ai/tiny-orca-textbooks")["train"] - - # format the data - dataset = dataset.map(lambda x: {"text": f"{x['textbook']}\n Question: {x['question']}\nAnswer: {x['response']}"}) - - dataset = DatasetDict({ - "train": dataset, - }) - return dataset def get_dataset_byte_size(dataset): """ From 0859ff1d105fc3123e38591dffd72a4a438e1842 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:33:54 +0800 Subject: [PATCH 112/209] added new datasets --- trainers/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/utils.py b/trainers/utils.py index 65b9abce..fd0f870d 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -262,7 +262,7 @@ def load_tiny_orca_textbooks(): Load and format the tiny-orca dataset https://huggingface.co/datasets/nampdn-ai/tiny-orca-textbooks """ - dataset = load_dataset("nampdn-ai/tiny-orca-textbooks") + dataset = load_dataset("nampdn-ai/tiny-orca-textbooks")["train"] # format the data dataset = dataset.map(lambda x: {"text": f"{x['textbook']}\n Question: {x['question']}\nAnswer: {x['response']}"}) From b4a26d413fca69ec7dd5cbe4887ada2c0de017af Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:35:01 +0800 Subject: [PATCH 113/209] added new datasets --- trainers/utils.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/trainers/utils.py b/trainers/utils.py index fd0f870d..44e6b108 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -313,7 +313,7 @@ def create_tiny_pile(verbose=False): """ tiny_textbooks = load_dataset("nampdn-ai/tiny-textbooks")["train"] tiny_codes = load_tiny_codes()["train"] - tiny_orca_textbooks = load_tiny_orca_textbooks()["train"], + tiny_orca_textbooks = load_tiny_orca_textbooks()["train"] tiny_lessons = load_tiny_lessons()["train"] #mini_fineweb = load_dataset("nampdn-ai/mini-fineweb")["train"] mini_cot = load_mini_cot()["train"] @@ -321,8 +321,7 @@ def create_tiny_pile(verbose=False): textbooks_are_all_you_need_lite = load_textbooks_are_all_you_need_lite()["train"] openphi_textbooks = load_openphi_textbooks()["train"] openphi_programming_books = load_openphi_programming_books()["train"] - print(tiny_textbooks) - input(tiny_orca_textbooks) + # combine the dataset combined_dataset = concatenate_datasets([ tiny_textbooks["text"], From 37631ee441f339f0df9bf8d64d75da926b8d3914 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:41:13 +0800 Subject: [PATCH 114/209] added new datasets --- trainers/utils.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/trainers/utils.py b/trainers/utils.py index 44e6b108..31e6c99f 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -321,7 +321,8 @@ def create_tiny_pile(verbose=False): textbooks_are_all_you_need_lite = load_textbooks_are_all_you_need_lite()["train"] openphi_textbooks = load_openphi_textbooks()["train"] openphi_programming_books = load_openphi_programming_books()["train"] - + input(openphi_textbooks) + input(openphi_programming_books) # combine the dataset combined_dataset = concatenate_datasets([ tiny_textbooks["text"], From a304b24611ffd0c89400fc3a2cce8d0235c490e3 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:42:14 +0800 Subject: [PATCH 115/209] added new datasets --- trainers/utils.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/trainers/utils.py b/trainers/utils.py index 31e6c99f..4b091653 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -212,7 +212,7 @@ def load_openphi_textbooks(): Load and format the openphi textbooks dataset https://huggingface.co/datasets/open-phi/textbooks """ - dataset = load_dataset("open-phi/textbooks") + dataset = load_dataset("open-phi/textbooks")["train"] # format the data dataset = dataset.map(lambda x: {"text": x["markdown"]}) @@ -229,7 +229,7 @@ def load_openphi_programming_books(): Load and format the openphi programming textbooks dataset https://huggingface.co/datasets/open-phi/programming_books_llama """ - dataset = load_dataset("open-phi/programming_books_llama") + dataset = load_dataset("open-phi/programming_books_llama")["train"] # format the data dataset = dataset.map(lambda x: {"text": x["markdown"]}) @@ -321,8 +321,7 @@ def create_tiny_pile(verbose=False): textbooks_are_all_you_need_lite = load_textbooks_are_all_you_need_lite()["train"] openphi_textbooks = load_openphi_textbooks()["train"] openphi_programming_books = load_openphi_programming_books()["train"] - input(openphi_textbooks) - input(openphi_programming_books) + # combine the dataset combined_dataset = concatenate_datasets([ tiny_textbooks["text"], From 01746a289df5fde76a1f9d5f3145b75e25635367 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:44:17 +0800 Subject: [PATCH 116/209] added new datasets --- trainers/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/utils.py b/trainers/utils.py index 4b091653..adc2e71e 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -296,7 +296,7 @@ def get_dataset_byte_size(dataset): """ return sum([len(item["text"]) for item in dataset]) -def create_tiny_pile(verbose=False): +def create_tiny_pile(verbose=True): """ Combine multiple high-quality tiny datasets to create the tiny-pile dataset 1. tiny_textbooks From adc3cb6e6f87c4e0915e2f55561f60bfcc9acf90 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:46:44 +0800 Subject: [PATCH 117/209] added new datasets --- trainers/utils.py | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/trainers/utils.py b/trainers/utils.py index adc2e71e..c11af2b2 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -110,6 +110,7 @@ def load_competition_math_dataset(): # format the problem and solution into a single "text" column dataset = dataset.map(lambda x: {"text": f"Problem: {x['problem']}\nSolution: {x['solution']}"}) + dataset = DatasetDict({ "train": dataset, }) @@ -324,16 +325,16 @@ def create_tiny_pile(verbose=True): # combine the dataset combined_dataset = concatenate_datasets([ - tiny_textbooks["text"], - tiny_codes["text"], - tiny_orca_textbooks["text"], - tiny_lessons["text"], + tiny_textbooks, + tiny_codes, + tiny_orca_textbooks, + tiny_lessons, #mini_fineweb, - mini_cot["text"], - mini_ultrachat["text"], - textbooks_are_all_you_need_lite["text"], - openphi_textbooks["text"], - openphi_programming_books["text"] + mini_cot, + mini_ultrachat, + textbooks_are_all_you_need_lite, + openphi_textbooks, + openphi_programming_books ]) if verbose: From e7a22bedf67bb3587de51e31a44999934e2f247c Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:54:58 +0800 Subject: [PATCH 118/209] added new datasets --- trainers/utils.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/trainers/utils.py b/trainers/utils.py index c11af2b2..f0d50283 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -312,16 +312,16 @@ def create_tiny_pile(verbose=True): 10. openphi_textbooks 11. openphi_programming_books """ - tiny_textbooks = load_dataset("nampdn-ai/tiny-textbooks")["train"] - tiny_codes = load_tiny_codes()["train"] - tiny_orca_textbooks = load_tiny_orca_textbooks()["train"] - tiny_lessons = load_tiny_lessons()["train"] + tiny_textbooks = load_dataset("nampdn-ai/tiny-textbooks")["train"].remove_columns(["source", "s", "len", "idx", "textbook"]) + tiny_codes = load_tiny_codes()["train"].remove_columns(["prompt", "main_topic", "subtopic", "adjective", "action_verb", "scenario", "target_audience","programming_language", "common_sense_topic", "idx", "response"]) + tiny_orca_textbooks = load_tiny_orca_textbooks()["train"].remove_columns(["id", "prompt", "textbook", "question", "response"]) + tiny_lessons = load_tiny_lessons()["train"].remove_columns(["source", "s", "len", "idx", "textbook"]) #mini_fineweb = load_dataset("nampdn-ai/mini-fineweb")["train"] - mini_cot = load_mini_cot()["train"] - mini_ultrachat = load_mini_ultrachat()["train"] - textbooks_are_all_you_need_lite = load_textbooks_are_all_you_need_lite()["train"] - openphi_textbooks = load_openphi_textbooks()["train"] - openphi_programming_books = load_openphi_programming_books()["train"] + mini_cot = load_mini_cot()["train"].remove_columns(["source", "target", "rationale", "task", "type"]) + mini_ultrachat = load_mini_ultrachat()["train"].remove_columns(["id", "data"]) + textbooks_are_all_you_need_lite = load_textbooks_are_all_you_need_lite()["train"].remove_columns(["formatted_prompt", "completion", "fist_task", "second_task", "last_task", "notes", "title", "model", "temperature"]) + openphi_textbooks = load_openphi_textbooks()["train"].remove_columns(["topic", "model", "concepts", "outline", "markdown", "field", "subfield", "rag"]) + openphi_programming_books = load_openphi_programming_books()["train"].remove_columns(["topic", "outline", "concepts", "queries", "context", "markdown", "model"]) # combine the dataset combined_dataset = concatenate_datasets([ From 889396686ee78e152ef2d8d7d83b7be972328530 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:55:37 +0800 Subject: [PATCH 119/209] added new datasets --- trainers/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/utils.py b/trainers/utils.py index f0d50283..29b9786b 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -319,7 +319,7 @@ def create_tiny_pile(verbose=True): #mini_fineweb = load_dataset("nampdn-ai/mini-fineweb")["train"] mini_cot = load_mini_cot()["train"].remove_columns(["source", "target", "rationale", "task", "type"]) mini_ultrachat = load_mini_ultrachat()["train"].remove_columns(["id", "data"]) - textbooks_are_all_you_need_lite = load_textbooks_are_all_you_need_lite()["train"].remove_columns(["formatted_prompt", "completion", "fist_task", "second_task", "last_task", "notes", "title", "model", "temperature"]) + textbooks_are_all_you_need_lite = load_textbooks_are_all_you_need_lite()["train"].remove_columns(["formatted_prompt", "completion", "first_task", "second_task", "last_task", "notes", "title", "model", "temperature"]) openphi_textbooks = load_openphi_textbooks()["train"].remove_columns(["topic", "model", "concepts", "outline", "markdown", "field", "subfield", "rag"]) openphi_programming_books = load_openphi_programming_books()["train"].remove_columns(["topic", "outline", "concepts", "queries", "context", "markdown", "model"]) From b479b14153add65f2fbea276abb37bd42eb69369 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:57:19 +0800 Subject: [PATCH 120/209] added new datasets --- trainers/utils.py | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/trainers/utils.py b/trainers/utils.py index 29b9786b..89c67bea 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -323,19 +323,19 @@ def create_tiny_pile(verbose=True): openphi_textbooks = load_openphi_textbooks()["train"].remove_columns(["topic", "model", "concepts", "outline", "markdown", "field", "subfield", "rag"]) openphi_programming_books = load_openphi_programming_books()["train"].remove_columns(["topic", "outline", "concepts", "queries", "context", "markdown", "model"]) - # combine the dataset - combined_dataset = concatenate_datasets([ - tiny_textbooks, - tiny_codes, - tiny_orca_textbooks, - tiny_lessons, - #mini_fineweb, - mini_cot, - mini_ultrachat, - textbooks_are_all_you_need_lite, - openphi_textbooks, - openphi_programming_books - ]) + + # Ensure all datasets have the same column type + datasets = [ + tiny_textbooks, tiny_codes, tiny_orca_textbooks, tiny_lessons, + mini_cot, mini_ultrachat, textbooks_are_all_you_need_lite, + openphi_textbooks, openphi_programming_books + ] + + # Cast the "text" column to large_string for each dataset + datasets = [dataset.cast_column("text", "large_string") for dataset in datasets] + + # Now concatenate the datasets + combined_dataset = concatenate_datasets(datasets) if verbose: """ From 100b9ffab33e3684f58619e05d5d60878a10c8b1 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:58:39 +0800 Subject: [PATCH 121/209] added new datasets --- trainers/utils.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/trainers/utils.py b/trainers/utils.py index 89c67bea..ef15ac3e 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -9,7 +9,7 @@ import numpy as np import torch from datasets import load_dataset, DatasetDict, concatenate_datasets - +import pyarrow as pa import torch.distributed as dist def set_seed(seed): @@ -331,8 +331,8 @@ def create_tiny_pile(verbose=True): openphi_textbooks, openphi_programming_books ] - # Cast the "text" column to large_string for each dataset - datasets = [dataset.cast_column("text", "large_string") for dataset in datasets] + # Cast the "text" column to pa.large_string() for each dataset + datasets = [dataset.cast_column("text", pa.large_string()) for dataset in datasets] # Now concatenate the datasets combined_dataset = concatenate_datasets(datasets) From 2901ebbb164d45115120a463678d71ea0f893826 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 13:59:59 +0800 Subject: [PATCH 122/209] added new datasets --- trainers/utils.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/trainers/utils.py b/trainers/utils.py index ef15ac3e..a090b864 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -331,6 +331,17 @@ def create_tiny_pile(verbose=True): openphi_textbooks, openphi_programming_books ] + # Check the schema of each dataset to identify misalignment + for idx, dataset in enumerate(datasets): + print(f"Dataset {idx} schema: {dataset.features}") + if 'text' not in dataset.features: + print(f"Dataset {idx} is missing the 'text' column!") + else: + text_type = dataset.features['text'] + print(f"Dataset {idx} 'text' column type: {text_type}") + + input() + # Cast the "text" column to pa.large_string() for each dataset datasets = [dataset.cast_column("text", pa.large_string()) for dataset in datasets] From 5d40f4f298aff1e953fb35b477b8ca434c0d8bf9 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 14:04:39 +0800 Subject: [PATCH 123/209] added new datasets --- trainers/utils.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/trainers/utils.py b/trainers/utils.py index a090b864..fb5957bb 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -331,6 +331,11 @@ def create_tiny_pile(verbose=True): openphi_textbooks, openphi_programming_books ] + for idx, dataset in enumerate(datasets): + if dataset.features['text'].dtype == 'string': + datasets[idx] = dataset.cast_column("text", "large_string") + + # Check the schema of each dataset to identify misalignment for idx, dataset in enumerate(datasets): print(f"Dataset {idx} schema: {dataset.features}") @@ -342,9 +347,6 @@ def create_tiny_pile(verbose=True): input() - # Cast the "text" column to pa.large_string() for each dataset - datasets = [dataset.cast_column("text", pa.large_string()) for dataset in datasets] - # Now concatenate the datasets combined_dataset = concatenate_datasets(datasets) From 8e17a339565c90e1be9a10f4a635e9a1ba22cec7 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 14:06:03 +0800 Subject: [PATCH 124/209] added new datasets --- trainers/utils.py | 21 +++++++-------------- 1 file changed, 7 insertions(+), 14 deletions(-) diff --git a/trainers/utils.py b/trainers/utils.py index fb5957bb..648e35f4 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -9,7 +9,8 @@ import numpy as np import torch from datasets import load_dataset, DatasetDict, concatenate_datasets -import pyarrow as pa +from datasets import Features, Value + import torch.distributed as dist def set_seed(seed): @@ -331,21 +332,13 @@ def create_tiny_pile(verbose=True): openphi_textbooks, openphi_programming_books ] - for idx, dataset in enumerate(datasets): - if dataset.features['text'].dtype == 'string': - datasets[idx] = dataset.cast_column("text", "large_string") + # Create a feature schema with "large_string" for the "text" column + text_features = Features({"text": Value("large_string")}) - - # Check the schema of each dataset to identify misalignment + # Cast the "text" column to "large_string" for datasets where dtype is 'string' for idx, dataset in enumerate(datasets): - print(f"Dataset {idx} schema: {dataset.features}") - if 'text' not in dataset.features: - print(f"Dataset {idx} is missing the 'text' column!") - else: - text_type = dataset.features['text'] - print(f"Dataset {idx} 'text' column type: {text_type}") - - input() + if dataset.features['text'].dtype == 'string': + datasets[idx] = dataset.cast(text_features) # Now concatenate the datasets combined_dataset = concatenate_datasets(datasets) From 27ff2a5480c18fd19d604b8da8d6035f09ad19ef Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 14:13:01 +0800 Subject: [PATCH 125/209] updated blend of experts model to global --- .../baseline-small-moe-global.yaml | 92 +++++++++++++++++++ 1 file changed, 92 insertions(+) create mode 100644 configs/full_configs/baseline-small-moe-global.yaml diff --git a/configs/full_configs/baseline-small-moe-global.yaml b/configs/full_configs/baseline-small-moe-global.yaml new file mode 100644 index 00000000..69b74026 --- /dev/null +++ b/configs/full_configs/baseline-small-moe-global.yaml @@ -0,0 +1,92 @@ +model: + k_interior_layers: 1 + lora_rank: 64 + checkpoint_path: Null + core_model: + core_model_type: ffn_lora_sharing_moe + num_layers: 14 + ffn: + ffn_type: swiglu + ffn_dim: 1072 + normalization: rms_norm + bias: false + lora_rank: 32 + n_experts: 8 + lora_alpha: 1.0 + attn: + attn_type: generic + num_heads: 16 + normalization: rms_norm + group_size: 4 + bias: false + is_causal: true + embedder: + tokenizer_type: bpe-retrain + embedding_model_type: generic + dataset_name: en_wiki + lm_head: + normalization: rms_norm + bias: false + lm_head_type: generic + hidden_dim: 416 + context_window: 1024 + vocab_size: 4000 + model_shell_type: standard + embedding_weight_tying: true + positional_encoding_type: rope +trainer: + dropout_scheduler: + dropout_type: constant + dropout: 0.0 + dataset: tiny_pile + training: + trainer_type: base_trainer + batch_size: 2 + gradient_accumulation_steps: 20 + max_iters: 10000 + lr_decay_iters: 10000 + warmup_iters: 1000 + eval_interval: 1000 + log_interval: 10 + eval_iters: 500 + checkpoint_interval: 5000.0 + run_profiler: false + eval: + - benchmarks: + - "winograd" + - "hellaswag" + - "arc" + - "mmlu" + - "blimp" + num_samples: 1000 + evaluator: "mcq" + - evaluator: "prog" + optimizer: + name: nanoGPTadamW + lr: 0.0006 + min_lr: 6.0e-05 + weight_decay: 0.1 + beta1: 0.9 + beta2: 0.95 + grad_clip: 1.0 + decay_lr: true + warmup_iters: 1000 + lr_scheduler: + name: cosine + dataloader: + name: standard + datasampling: + name: standard + loss_fn: + name: cross_entropy +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda From b6899807338f0217e661542de6538bb87d17e4e4 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 14:20:12 +0800 Subject: [PATCH 126/209] debugging --- models/experimental/weight_sharing.py | 1 + 1 file changed, 1 insertion(+) diff --git a/models/experimental/weight_sharing.py b/models/experimental/weight_sharing.py index 23d6ee82..591c74ee 100644 --- a/models/experimental/weight_sharing.py +++ b/models/experimental/weight_sharing.py @@ -50,6 +50,7 @@ def _apply_weight_sharing_and_lora(self, start_layer: int, end_layer: int, modul shared_weights = {name: module.weight for name, module in base_module.named_modules() if isinstance(module, nn.Linear)} for i in range(start_layer, end_layer): + input(self.transformer.h[i]) target_module = getattr(self.transformer.h[i], module_name) for name, module in target_module.named_modules(): if isinstance(module, nn.Linear): From 4f82476ae90f712f60a9540c2a01cd44255af5ff Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 14:20:59 +0800 Subject: [PATCH 127/209] debugging --- models/experimental/weight_sharing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/experimental/weight_sharing.py b/models/experimental/weight_sharing.py index 591c74ee..6193839b 100644 --- a/models/experimental/weight_sharing.py +++ b/models/experimental/weight_sharing.py @@ -50,7 +50,7 @@ def _apply_weight_sharing_and_lora(self, start_layer: int, end_layer: int, modul shared_weights = {name: module.weight for name, module in base_module.named_modules() if isinstance(module, nn.Linear)} for i in range(start_layer, end_layer): - input(self.transformer.h[i]) + print(self.transformer.h[i]) target_module = getattr(self.transformer.h[i], module_name) for name, module in target_module.named_modules(): if isinstance(module, nn.Linear): From 931ed4c749172d8a795fad02c8eadca93175bc5b Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 14:22:40 +0800 Subject: [PATCH 128/209] debugging --- models/experimental/weight_sharing.py | 20 ++++++++++++-------- 1 file changed, 12 insertions(+), 8 deletions(-) diff --git a/models/experimental/weight_sharing.py b/models/experimental/weight_sharing.py index 6193839b..78713fa2 100644 --- a/models/experimental/weight_sharing.py +++ b/models/experimental/weight_sharing.py @@ -50,7 +50,6 @@ def _apply_weight_sharing_and_lora(self, start_layer: int, end_layer: int, modul shared_weights = {name: module.weight for name, module in base_module.named_modules() if isinstance(module, nn.Linear)} for i in range(start_layer, end_layer): - print(self.transformer.h[i]) target_module = getattr(self.transformer.h[i], module_name) for name, module in target_module.named_modules(): if isinstance(module, nn.Linear): @@ -59,13 +58,18 @@ def _apply_weight_sharing_and_lora(self, start_layer: int, end_layer: int, modul lora_module = LoRA(module, self.lora_rank, self.lora_alpha) setattr(target_module, name, lora_module) + + class SharedInteriorFFNLoraAndCProj(SharedInteriorFFNLora): def __init__(self, model_cfg): super().__init__(model_cfg) - - # Apply LoRA to c_proj in attention layers - self._apply_weight_sharing_and_lora( - start_layer=1 + self.k_interior_layers, - end_layer=len(self.transformer.h) - self.k_interior_layers, - module_name='attn.c_proj' - ) \ No newline at end of file + + # now strictly share the c_proj weights w/o lora + for i in range(1 + self.k_interior_layers, len(self.transformer.h) - self.k_interior_layers): + base_cproj = self.transformer.h[1 + self.k_interior_layers].attn.c_proj + shared_cproj_weights = {name: module.weight for name, module in base_cproj.named_modules() if isinstance(module, nn.Linear)} + target_cproj = self.transformer.h[i].attn.c_proj + for name, module in target_cproj.named_modules(): + if isinstance(module, nn.Linear): + module.weight = shared_cproj_weights[name] + From 0d4361018dc69ea995c524009f97d970baaa1f65 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 14:26:32 +0800 Subject: [PATCH 129/209] debugging --- configs/full_configs/baseline-small-moe-global.yaml | 2 +- configs/full_configs/baseline-small.yaml | 2 +- models/experimental/weight_sharing.py | 6 ++++++ 3 files changed, 8 insertions(+), 2 deletions(-) diff --git a/configs/full_configs/baseline-small-moe-global.yaml b/configs/full_configs/baseline-small-moe-global.yaml index 69b74026..bcd4ec7f 100644 --- a/configs/full_configs/baseline-small-moe-global.yaml +++ b/configs/full_configs/baseline-small-moe-global.yaml @@ -81,7 +81,7 @@ trainer: name: cross_entropy general: logging: - wandb_log: true + wandb_log: false wandb_project: SuperTinyLanguageModels paths: output_dir: outputs diff --git a/configs/full_configs/baseline-small.yaml b/configs/full_configs/baseline-small.yaml index 9dd032bf..60eeed9d 100644 --- a/configs/full_configs/baseline-small.yaml +++ b/configs/full_configs/baseline-small.yaml @@ -78,7 +78,7 @@ trainer: name: cross_entropy general: logging: - wandb_log: true + wandb_log: false wandb_project: SuperTinyLanguageModels paths: output_dir: outputs diff --git a/models/experimental/weight_sharing.py b/models/experimental/weight_sharing.py index 78713fa2..9c96ac3b 100644 --- a/models/experimental/weight_sharing.py +++ b/models/experimental/weight_sharing.py @@ -22,6 +22,12 @@ def __init__(self, linear_layer: nn.Linear, lora_rank: int, lora_alpha: float = self.lora_A = nn.Parameter(torch.empty((lora_rank, linear_layer.in_features))) self.lora_B = nn.Parameter(torch.zeros((linear_layer.out_features, lora_rank))) + print("LoRA A shape:", self.lora_A.shape) + print("LoRA B shape:", self.lora_B.shape) + print("Input feature size:", linear_layer.in_features) + print("Output feature size:", linear_layer.out_features) + + self.reset_parameters() def reset_parameters(self): From 2dd48a0ac088a8ef38dc967e5d781fe911cec169 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 14:27:56 +0800 Subject: [PATCH 130/209] debugging --- models/experimental/weight_sharing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/experimental/weight_sharing.py b/models/experimental/weight_sharing.py index 9c96ac3b..2cb41d40 100644 --- a/models/experimental/weight_sharing.py +++ b/models/experimental/weight_sharing.py @@ -36,7 +36,7 @@ def reset_parameters(self): def forward(self, x: torch.Tensor) -> torch.Tensor: """Forward pass through the linear layer with LoRA""" - return self.linear_layer(x) + (self.lora_B @ self.lora_A @ x.T).T * self.scaling + return self.linear_layer(x) + (self.lora_B @ self.lora_A @ x.transponse(1,2)).transponse(1,2) * self.scaling class SharedInteriorFFNLora(GenericTransformer): def __init__(self, model_cfg): From a27d793054064f2ae43fb0824158af91000a12d4 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 14:30:00 +0800 Subject: [PATCH 131/209] debugging --- models/experimental/weight_sharing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/experimental/weight_sharing.py b/models/experimental/weight_sharing.py index 2cb41d40..ae339c40 100644 --- a/models/experimental/weight_sharing.py +++ b/models/experimental/weight_sharing.py @@ -36,7 +36,7 @@ def reset_parameters(self): def forward(self, x: torch.Tensor) -> torch.Tensor: """Forward pass through the linear layer with LoRA""" - return self.linear_layer(x) + (self.lora_B @ self.lora_A @ x.transponse(1,2)).transponse(1,2) * self.scaling + return self.linear_layer(x) + (self.lora_B @ self.lora_A @ x.transpose(1,2)).transpose(1,2) * self.scaling class SharedInteriorFFNLora(GenericTransformer): def __init__(self, model_cfg): From dcaca0a55fe37cd5a0c4ef5423730a081521a858 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Tue, 10 Sep 2024 18:24:08 +0800 Subject: [PATCH 132/209] more data --- configs/test.yaml | 38 ++++++++++++++--------------- eval.py | 5 ++-- evals/eval_wrapper.py | 2 +- evals/mcqs/mcq_evaluator.py | 6 ++--- models/experimental/hugging_face.py | 2 +- trainers/utils.py | 29 +++++++++++++++++++--- 6 files changed, 53 insertions(+), 29 deletions(-) diff --git a/configs/test.yaml b/configs/test.yaml index 1fb0f9c6..e9c31e43 100644 --- a/configs/test.yaml +++ b/configs/test.yaml @@ -1,25 +1,25 @@ defaults: # - testing: "llm_harness" - testing: "baseline" -model_ckpt: "checkpoints/..." -# model: -# model_string: "microsoft/Phi-3-mini-4k-instruct" -# flash_attention: false -# core_model: -# core_model_type: hf_core -# embedder: -# embedding_model_type: hf_embedder -# tokenizer_type: hf_tokenizer -# dataset_name: simple_en_wiki -# lm_head: -# lm_head_type: hf_head -# hidden_dim: 3072 -# context_window: 512 -# vocab_size: 32064 -# model_shell_type: standard -# embedding_weight_tying: false -# positional_encoding_type: rope +#model_ckpt: "checkpoints/..." +model: + model_string: "openai-community/gpt2" + flash_attention: false + core_model: + core_model_type: hf_core + embedder: + embedding_model_type: hf_embedder + tokenizer_type: hf_tokenizer + dataset_name: simple_en_wiki + lm_head: + lm_head_type: hf_head + hidden_dim: 3072 + context_window: 512 + vocab_size: 32064 + model_shell_type: standard + embedding_weight_tying: false + positional_encoding_type: rope generate_config: temperature: 0.8 top_k: 10 -output_path: "results.json" \ No newline at end of file +output_path: "results.json" diff --git a/eval.py b/eval.py index 0a1c08ff..daba358c 100644 --- a/eval.py +++ b/eval.py @@ -18,10 +18,11 @@ def main(cfg): # set the checkpoint path to absolute path cfg["model_ckpt"] = hydra.utils.to_absolute_path(cfg["model_ckpt"]) - model = build_model(checkpoint=torch.load(cfg["model_ckpt"])) + model = build_model(checkpoint=torch.load(cfg["model_ckpt"]))[0] # otherwise build the model from scratch (e.g. for external pretrained models) else: - model = build_model(model_cfg=cfg["model"]) + model = build_model(model_cfg=cfg["model"])[0] + model.eval() # load the evaluator diff --git a/evals/eval_wrapper.py b/evals/eval_wrapper.py index 04425e0c..83862863 100644 --- a/evals/eval_wrapper.py +++ b/evals/eval_wrapper.py @@ -24,7 +24,7 @@ def loglikelihood(self, prefixes, continuations) -> list[float]: self.model_shell = self.model_shell.to(device) results = [] with torch.no_grad(): - with torch.autocast(device_type=device_str): + with torch.autocast(device_type=device_str, dtype=torch.bfloat16): for prefix_batch, cont_batch in zip( batch(prefixes, 32), batch(continuations, 32) ): diff --git a/evals/mcqs/mcq_evaluator.py b/evals/mcqs/mcq_evaluator.py index 113fd7b0..932e7d4e 100644 --- a/evals/mcqs/mcq_evaluator.py +++ b/evals/mcqs/mcq_evaluator.py @@ -7,8 +7,8 @@ from evals import eval_wrapper from evals.evaluator_interface import EvaluationInterface -from evals.mcqs.load_benchmarks import load_benchmark -from evals.metrics import MCQ_METRIC_DICT +from evals.mcqs.load_benchmarks import load_benchmark +from evals.metrics import MCQ_METRIC_DICT class MCQEvaluator(EvaluationInterface): @@ -23,7 +23,7 @@ def __init__(self, model, num_samples=None, benchmarks=None): self.num_samples = num_samples self.benchmarks = benchmarks # make sure the model is in eval model - self.model.eval() + #self.model.eval() @torch.no_grad() def predict(self, prefix, ground_truth, false_options): diff --git a/models/experimental/hugging_face.py b/models/experimental/hugging_face.py index b6b4b70a..46837bb6 100644 --- a/models/experimental/hugging_face.py +++ b/models/experimental/hugging_face.py @@ -28,7 +28,7 @@ def build_model(model_cfg): model_str, trust_remote_code=True, attn_implementation=attn_impl, - torch_dtype=torch.float16, + torch_dtype=torch.float32, ) return model diff --git a/trainers/utils.py b/trainers/utils.py index 648e35f4..c61152ee 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -291,6 +291,21 @@ def load_tiny_lessons(): return dataset +def load_natural_instructions(): + """ + Load and format the natural-instructions dataset + huggingface.co/datasets/Muennighoff/natural-instructions + """ + dataset = load_dataset("Muennighoff/natural-instructions")["train"] + + # format the data + dataset = dataset.map(lambda x: {"text": f"Task: Definition: {x['definition']}\nQuestion: {x['inputs']}\nAnswer: {x['targets']}"}) + + dataset = DatasetDict({ + "train": dataset, + }) + + return dataset def get_dataset_byte_size(dataset): """ @@ -323,13 +338,17 @@ def create_tiny_pile(verbose=True): textbooks_are_all_you_need_lite = load_textbooks_are_all_you_need_lite()["train"].remove_columns(["formatted_prompt", "completion", "first_task", "second_task", "last_task", "notes", "title", "model", "temperature"]) openphi_textbooks = load_openphi_textbooks()["train"].remove_columns(["topic", "model", "concepts", "outline", "markdown", "field", "subfield", "rag"]) openphi_programming_books = load_openphi_programming_books()["train"].remove_columns(["topic", "outline", "concepts", "queries", "context", "markdown", "model"]) - - + simple_en_wiki = load_dataset("wikimedia/wikipedia", "20231101.simple")["train"].remove_columns(["title", "url", "id"]) + natural_instructions = load_natural_instructions()["train"].remove_columns(["task_name", "id", "definition", "inputs", "targets"]) + openhermes = load_open_hermes()["train"].remove_columns(["id", "title", "topic", "language", "conversations", "avatarUrl", "custom_instruction", "system_prompt", "views", "category", "idx", "model_name", "source", "skip_prompt_formatiing", "hash"]) + + # Ensure all datasets have the same column type datasets = [ tiny_textbooks, tiny_codes, tiny_orca_textbooks, tiny_lessons, mini_cot, mini_ultrachat, textbooks_are_all_you_need_lite, - openphi_textbooks, openphi_programming_books + openphi_textbooks, openphi_programming_books, simple_en_wiki, + natural_instructions, openhermes ] # Create a feature schema with "large_string" for the "text" column @@ -359,6 +378,9 @@ def create_tiny_pile(verbose=True): "textbooks_are_all_you_need_lite": get_dataset_byte_size(textbooks_are_all_you_need_lite), "openphi_textbooks": get_dataset_byte_size(openphi_textbooks), "openphi_programming_books": get_dataset_byte_size(openphi_programming_books), + "simple_en_wiki": get_dataset_byte_size(simple_en_wiki), + "natural_instructions": get_dataset_byte_size(natural_instructions), + "openhermes": get_dataset_byte_size(openhermes) } total_size = sum(dataset_sizes.values()) @@ -404,6 +426,7 @@ def create_tiny_pile(verbose=True): "openphi_textbooks": lambda: load_openphi_textbooks(), "openphi_programming_books": lambda: load_openphi_programming_books(), "tiny_pile": lambda: create_tiny_pile(), + "natural_instructions": lambda: load_natural_instructions() } From c53cb25d96cf511079e0286e3c3217c6ae152aa2 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Wed, 11 Sep 2024 19:26:37 +0800 Subject: [PATCH 133/209] new weight init for lora --- configs/full_configs/baseline-small-moe.yaml | 18 ++-- .../full_configs/baseline-small-simple.yaml | 89 +++++++++++++++++++ models/experimental/moe_weight_sharing.py | 79 +--------------- 3 files changed, 101 insertions(+), 85 deletions(-) create mode 100644 configs/full_configs/baseline-small-simple.yaml diff --git a/configs/full_configs/baseline-small-moe.yaml b/configs/full_configs/baseline-small-moe.yaml index d747b4ee..f61f5475 100644 --- a/configs/full_configs/baseline-small-moe.yaml +++ b/configs/full_configs/baseline-small-moe.yaml @@ -4,14 +4,14 @@ model: checkpoint_path: Null core_model: core_model_type: ffn_lora_sharing_moe - num_layers: 6 + num_layers: 10 ffn: ffn_type: swiglu ffn_dim: 1072 normalization: rms_norm bias: false - lora_rank: 32 - n_experts: 8 + lora_rank: 64 + n_experts: 16 lora_alpha: 1.0 attn: attn_type: generic @@ -38,11 +38,11 @@ trainer: dropout_scheduler: dropout_type: constant dropout: 0.0 - dataset: simple_en_wiki + dataset: pints training: trainer_type: base_trainer - batch_size: 2 - gradient_accumulation_steps: 20 + batch_size: 12 + gradient_accumulation_steps: 40 max_iters: 80000 lr_decay_iters: 80000 warmup_iters: 10000 @@ -65,7 +65,7 @@ trainer: name: nanoGPTadamW lr: 0.0006 min_lr: 6.0e-05 - weight_decay: 0.1 + weight_decay: 0.01 beta1: 0.9 beta2: 0.95 grad_clip: 1.0 @@ -81,7 +81,7 @@ trainer: name: cross_entropy general: logging: - wandb_log: false + wandb_log: true wandb_project: SuperTinyLanguageModels paths: output_dir: outputs @@ -89,4 +89,4 @@ general: checkpoint_dir: checkpoints eval_dir: evals seed: 489 - device: cpu + device: cuda diff --git a/configs/full_configs/baseline-small-simple.yaml b/configs/full_configs/baseline-small-simple.yaml new file mode 100644 index 00000000..733b92ba --- /dev/null +++ b/configs/full_configs/baseline-small-simple.yaml @@ -0,0 +1,89 @@ +model: + k_interior_layers: 1 + lora_rank: 64 + checkpoint_path: Null + core_model: + core_model_type: generic + num_layers: 6 + ffn: + ffn_type: swiglu + ffn_dim: 1072 + normalization: rms_norm + bias: false + attn: + attn_type: generic + num_heads: 16 + normalization: rms_norm + group_size: 4 + bias: false + is_causal: true + embedder: + tokenizer_type: bpe-retrain + embedding_model_type: generic + dataset_name: en_wiki + lm_head: + normalization: rms_norm + bias: false + lm_head_type: generic + hidden_dim: 416 + context_window: 512 + vocab_size: 4000 + model_shell_type: standard + embedding_weight_tying: true + positional_encoding_type: rope +trainer: + dropout_scheduler: + dropout_type: constant + dropout: 0.0 + dataset: simple_en_wiki + training: + trainer_type: base_trainer + batch_size: 24 + gradient_accumulation_steps: 20 + max_iters: 80000 + lr_decay_iters: 80000 + warmup_iters: 10000 + eval_interval: 2000 + log_interval: 10 + eval_iters: 500 + checkpoint_interval: 10000.0 + run_profiler: false + eval: + - benchmarks: + - "winograd" + - "hellaswag" + - "arc" + - "mmlu" + - "blimp" + num_samples: 1000 + evaluator: "mcq" + - evaluator: "prog" + optimizer: + name: nanoGPTadamW + lr: 0.0006 + min_lr: 6.0e-05 + weight_decay: 0.1 + beta1: 0.9 + beta2: 0.95 + grad_clip: 1.0 + decay_lr: true + warmup_iters: 10000 + lr_scheduler: + name: cosine + dataloader: + name: standard + datasampling: + name: standard + loss_fn: + name: cross_entropy +general: + logging: + wandb_log: false + wandb_project: SuperTinyLanguageModels + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index e3229534..b971e177 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -11,73 +11,6 @@ from models.components.layers.activations import build_activation -class MoELoRA_old(torch.nn.Module): - def __init__( - self, - in_features: int, - out_features: int, - lora_rank: int, - n_experts: int, - lora_alpha: float=1.0 - ): - """ - LoRA MoE implementation - - Args: - in_features (int): Number of input features. - out_features (int): Number of output features. - lora_rank (int): The rank of the LoRA matrices. - n_experts (int): Number of experts. - lora_alpha (float): Scaling factor for the LoRA update. - """ - super().__init__() - self.in_features = in_features - self.out_features = out_features - self.lora_rank = lora_rank - self.n_experts = n_experts - self.lora_alpha = lora_alpha - self.scaling = self.lora_alpha / self.lora_rank - - # Initialize main weight matrix - self.weight = torch.nn.Parameter(torch.empty((out_features, in_features))) - - # Initialize gate linear - self.gate_linear = torch.nn.Linear(in_features, n_experts, bias=False) - - # Initialize LoRA matrices - self.lora_experts_U = torch.nn.ParameterList([ - torch.nn.Parameter(torch.empty((lora_rank, in_features))) - for _ in range(n_experts) - ]) - self.lora_experts_V = torch.nn.ParameterList([ - torch.nn.Parameter(torch.zeros((out_features, lora_rank))) - for _ in range(n_experts) - ]) - - self.reset_parameters() - - def reset_parameters(self): - torch.nn.init.kaiming_uniform_(self.weight, a=math.sqrt(5)) - self.gate_linear.reset_parameters() - for i in range(self.n_experts): - torch.nn.init.kaiming_uniform_(self.lora_experts_U[i], a=math.sqrt(5)) - # V is already initialized to zeros - - def forward(self, x: torch.Tensor) -> torch.Tensor: - """ Forward pass """ - gate = torch.nn.functional.softmax(self.gate_linear(x[:,-1]), dim=-1) - print(x.size()) - lora_contribution = torch.zeros_like(self.weight) - for i in range(self.n_experts): - expert_contribution = self.lora_experts_V[i] @ self.lora_experts_U[i] - print(gate.size(), expert_contribution.size()) - lora_contribution += gate[:, i].unsqueeze(-1).unsqueeze(-1) * expert_contribution - - effective_weight = self.weight + lora_contribution * self.scaling - return torch.nn.functional.linear(x, effective_weight, self.bias) - -import torch -import math class MoELoRA(torch.nn.Module): def __init__( @@ -87,7 +20,7 @@ def __init__( lora_rank: int, n_experts: int, lora_alpha: float = 1.0, - global_gating: bool = True + global_gating: bool = False ): """ LoRA MoE implementation @@ -122,23 +55,17 @@ def __init__( self.lora_experts_V = torch.nn.Parameter( torch.zeros((n_experts, out_features, lora_rank)) ) - """self.lora_experts_U = torch.nn.ParameterList([ - torch.nn.Parameter(torch.empty((lora_rank, in_features))) - for _ in range(n_experts) - ]) - self.lora_experts_V = torch.nn.ParameterList([ - torch.nn.Parameter(torch.zeros((out_features, lora_rank))) - for _ in range(n_experts) - ])""" self.reset_parameters() def reset_parameters(self): torch.nn.init.kaiming_uniform_(self.weight, a=math.sqrt(5)) self.gate_linear.reset_parameters() + for i in range(self.n_experts): torch.nn.init.kaiming_uniform_(self.lora_experts_U[i], a=math.sqrt(5)) # V is already initialized to zeros + torch.nn.init.kaiming_uniform_(self.lora_experts_V[i], a=math.sqrt(5)) def forward(self, x: torch.Tensor) -> torch.Tensor: """ From d0295287942c36cdbe108744906be88690d7f801 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Thu, 12 Sep 2024 23:06:17 +0800 Subject: [PATCH 134/209] rewrite --- Non-code/documentation/README.md | 234 ++++++++ .../pre_reports}/dropout_prereport.pdf | Bin __init__.py | 0 check_size.py | 22 + configs/full_configs/baseline-bpe-10k.yaml | 86 --- configs/full_configs/baseline-shared.yaml | 89 --- configs/full_configs/baseline-small copy.yaml | 89 --- .../full_configs/baseline-small-continue.yaml | 89 --- .../baseline-small-moe-global.yaml | 92 ---- configs/full_configs/baseline-small-moe.yaml | 92 ---- .../full_configs/baseline-small-simple.yaml | 89 --- configs/full_configs/baseline-small.yaml | 89 --- configs/full_configs/baseline-wide.yaml | 86 --- configs/full_configs/baseline.yaml | 86 --- configs/full_configs/baseline_llama_30k.yaml | 86 --- .../full_configs/baseline_next_thought.yaml | 114 ---- configs/full_configs/baseline_opt.yaml | 86 --- configs/full_configs/byte_debug.yaml | 102 ---- configs/full_configs/byte_level.yaml | 104 ---- .../full_configs/byte_level_ffn_sharing.yaml | 92 ---- configs/full_configs/debug.yaml | 96 ---- configs/full_configs/ffn_sharing.yaml | 82 --- configs/full_configs/gpt2_next_token_mlm.yaml | 86 --- configs/full_configs/gpt2_qwen_training.yaml | 81 --- configs/full_configs/hugging_face.yaml | 63 --- configs/general/default.yaml | 11 - configs/generate.yaml | 11 +- .../{baseline.yaml => beam_search.yaml} | 0 configs/generator/standard.yaml | 8 + configs/model/baseline.yaml | 11 - configs/model/core_model/baseline.yaml | 14 - configs/model/embedder/baseline.yaml | 3 - configs/model/lm_head/baseline.yaml | 3 - configs/model/lm_head/hf_lm.yaml | 1 - configs/testing/baseline.yaml | 7 - configs/testing/llm_harness.yaml | 7 - configs/train.yaml | 4 - configs/trainer/baseline.yaml | 47 -- .../trainer/dropout_scheduler/constant.yaml | 2 - .../trainer/dropout_scheduler/linear_up.yaml | 5 - .../trainer/dropout_scheduler/triangle.yaml | 4 - configs/training_configs/baseline-large.yaml | 99 ++++ configs/training_configs/baseline.yaml | 99 ++++ debugging/__init__.py | 0 debugging/debugging_models/__init__.py | 0 .../debugging_components/__init__.py | 0 .../debugging_layers/__init__.py | 0 .../debugging_layers/test_attention.py | 123 ----- .../debugging_layers/test_feedforward.py | 45 -- .../debugging_layers/test_normalization.py | 33 -- .../test_transformer_block.py | 38 -- .../debugging_tokenizers/__init__.py | 0 .../test_bpe_tokenizer.py | 32 -- .../test_gpt2_tokenizer.py | 25 - .../test_positional_encoding.py | 27 - .../debugging_models/test_core_models.py | 47 -- debugging/debugging_trainers/test_loss.py | 14 - debugging/test_evals.py | 63 --- debugging/test_mcqs.py | 24 - evals/__init__.py | 6 + evals/finetuning/__init__.py | 0 evals/finetuning/glue.py | 142 ----- evals/finetuning/qa.py | 98 ---- evals/load_evaluators.py | 3 - evals/mcqs/benchmarks/__init__.py | 0 evals/mcqs/benchmarks/arc.py | 37 -- evals/mcqs/benchmarks/blimp.py | 49 -- evals/mcqs/benchmarks/hellaswag.py | 30 - evals/mcqs/benchmarks/mmlu.py | 37 -- evals/mcqs/benchmarks/stories_progression.py | 82 --- evals/mcqs/benchmarks/winogrande.py | 33 -- evals/mcqs/load_benchmarks.py | 315 ++++++++++- evals/mcqs/mcq_evaluator.py | 40 +- evals/metrics.py | 52 -- .../text_modeling/text_modeling_evaluator.py | 3 +- models/build_models.py | 57 +- models/components/layers/activations.py | 32 -- models/components/layers/attention.py | 40 +- models/components/layers/feedforward.py | 27 +- models/components/layers/normalization.py | 2 + .../bpe_en_wiki_4000.model}/added_tokens.json | 0 .../bpe_en_wiki_4000.model}/merges.txt | 0 .../special_tokens_map.json | 0 .../bpe_en_wiki_4000.model}/tokenizer.json | 0 .../tokenizer_config.json | 0 .../bpe_en_wiki_4000.model}/vocab.json | 0 models/components/layers/tokenizers.py | 239 ++++++++ .../components/layers/transformer_blocks.py | 2 +- models/components/layers/utils.py | 33 ++ models/components/tokenizers/__init__.py | 5 - models/components/tokenizers/base_class.py | 52 -- models/components/tokenizers/bpe.py | 150 ----- models/components/tokenizers/bpe_retrain.py | 149 ----- .../components/tokenizers/bpe_subsampled.py | 142 ----- models/components/tokenizers/ck100k.py | 41 -- models/components/tokenizers/gpt2.py | 41 -- models/components/tokenizers/llama_30k.py | 41 -- models/components/tokenizers/opt.py | 41 -- models/components/tokenizers/p50k.py | 41 -- models/components/tokenizers/setup.py | 39 -- .../bpe_simple_en_wiki_258.model | 0 .../bpe_simple_en_wiki_258.vocab | 258 --------- .../bpe_simple_en_wiki_259.vocab | 259 --------- models/components/tokenizers/utils.py | 99 ---- models/core_models.py | 103 +--- models/embedding_models.py | 10 +- .../byte_level/embedding_model.py | 2 +- models/experimental/hugging_face.py | 13 +- .../next_thought/embedding_models.py | 2 +- models/model_heads.py | 12 +- models/model_shell.py | 39 +- models/utils.py | 2 + pytest.ini | 0 train.py | 8 +- trainers/base_trainer.py | 174 +++--- trainers/build_trainers.py | 37 +- trainers/data_utils.py | 114 ++++ trainers/datasets.py | 2 +- trainers/evaluator.py | 39 +- trainers/loss_fn.py | 61 +-- trainers/prepare.py | 2 +- trainers/scheduler.py | 84 --- trainers/utils.py | 517 +----------------- 123 files changed, 1464 insertions(+), 5416 deletions(-) create mode 100644 Non-code/documentation/README.md rename {pre_reports => Non-code/pre_reports}/dropout_prereport.pdf (100%) delete mode 100644 __init__.py create mode 100644 check_size.py delete mode 100644 configs/full_configs/baseline-bpe-10k.yaml delete mode 100644 configs/full_configs/baseline-shared.yaml delete mode 100644 configs/full_configs/baseline-small copy.yaml delete mode 100644 configs/full_configs/baseline-small-continue.yaml delete mode 100644 configs/full_configs/baseline-small-moe-global.yaml delete mode 100644 configs/full_configs/baseline-small-moe.yaml delete mode 100644 configs/full_configs/baseline-small-simple.yaml delete mode 100644 configs/full_configs/baseline-small.yaml delete mode 100644 configs/full_configs/baseline-wide.yaml delete mode 100644 configs/full_configs/baseline.yaml delete mode 100644 configs/full_configs/baseline_llama_30k.yaml delete mode 100644 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delete mode 100644 models/components/tokenizers/llama_30k.py delete mode 100644 models/components/tokenizers/opt.py delete mode 100644 models/components/tokenizers/p50k.py delete mode 100644 models/components/tokenizers/setup.py delete mode 100644 models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_258.model delete mode 100644 models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_258.vocab delete mode 100644 models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_259.vocab delete mode 100644 models/components/tokenizers/utils.py delete mode 100644 pytest.ini create mode 100644 trainers/data_utils.py diff --git a/Non-code/documentation/README.md b/Non-code/documentation/README.md new file mode 100644 index 00000000..798f3349 --- /dev/null +++ b/Non-code/documentation/README.md @@ -0,0 +1,234 @@ +# Configuration Documentation + +This documentation details the required inputs for configuring the model, trainer, and general settings. Note, experimental architectures are not included here, as they can be subject to frequent change + +# Model Configuration (`model`) + +Conceptually the model is split into three parts, the `core_model`[core_model.py], `embedder` and `lm_head`, where the `embedder` is responsible for converting strings to token-embeddings (i.e. includes both the tokenizer and the token embedder), the `core_model` does most of the 'thinking' (i.e. contains the actual transformer blocks), and the `lm_head` links the final hidden state back to the vocabulary. The model configuration should contain the following. + +## Core Model `core_model_type` + +The name of the core-model architecture to be used. Depending on the selected option, additional sub-configurations may be required. The following core-models are available: + +- **generic (link the code)**: A basic transformer model with multiple attn+ffn blocks. This can be used for almost all classic architectures. + - `num_layers`: The number of transformer blocks in the core model + - `ffn`: Configuration for the Feedforward Network (FFN). [Link to the sub-config] + - `attn`: Configuration for the Attention mechanism. [Link to the sub-config] + - `ffn_weight_tying`: Whether to tie the weights of the FFN layers across the transformer blocks. _[default: false]_ + - `c_proj_weight_tying`: Whether to tie the weights of the c*proj linear layer in the attention block across the transformer blocks. *[default: false]\_ +- **hf_core (link the code)**: This can be used to load huggingface models + - `freeze_core`: Whether to freeze the core model. _[default: true]_ + - `todo` + +## Embedding Model `embedding_model_type` + +The name of the embedding model to be used. The available options are: + +- **generic (link the code)**: A simple embedding model using torch.nn.Embedding to link the tokenizer indecies to learned embeddings. + - `embedding_weight_tying`: Whether to tie the weights of the embedding with those of the language modeling head. _[default: true]_ + - `embedding_dropout`: The dropout rate to be used in the embedding layer. _[default: 0.0]_ + +## Tokenizer `tokenizer_type` + +The name of the tokenizer to be used. Depending on the tokenizer selected, additional variables might be necessary. The options include: + +- **GPT-2 (link the code)**: The GPT-2 tokenizer via tiktoken. +- **o200k_base (link the code)**: The GPT-40 tokenizer via tiktoken. +- **cl100k_base (link the code)**: The GPT-4 tokenizer via tiktoken. +- **p50k_base (link the code)**: The davinci tokenizer via tiktoken. +- **llama_32k (link the code)**: The old llama tokenizer via huggingface. +- **opt_50k (link the code)**: The OPT tokenizer via huggingface. +- **mistral_32k (link the code)**: The mistral tokenizer via huggingface. +- **bpe (link the code)**: A custom byte-pair encoding tokenizer using the hf library. + - `vocab_size`: The size of the vocabulary + - `tokenizer_dataset_name`: The name of the dataset used to train the tokenizer + +## Hidden Dimension Size `hidden_dim` + +The dimensionality of the hidden layers in the model. + +## Context Window `context_window` + +The size of the context window (sequence length). + +## Language Model Head `lm_head_type` + +The name of the language model head to be used. The available options are: + +- **generic (link the code)**: A simple linear layer to map the hidden state back to the vocabulary. + - `lm_head_normalization`: The name of the normalization function to be used. The options are listed here _[TODO: link to normalization]_ + - `lm_head_bias`: true/false whether the bias units in the linear layers should be used _[defaul: false]_ + - `lm_head_dropout`: The dropout rate to be used in the language modeling head. _[default: 0.0]_ + +## Model Shell `model_shell_type` + +The model shell combines the embedder, core_model and lm_head into a single model. The available options are: + +- **standard (link the code)**: A simple model shell that combines the embedder, core_model and lm_head into a single model. + +## Positional encoding `positional_encoding_type` + +The type of positional encoding to be used. The options include: + +- **learned**: A learned positional encoding applied right after token embedding in the embedder. +- **sincos**: A sinusoidal positional encoding applied right after token embedding in the embedder. +- **rope**: A rotary positional encoding applied in the attention blocks. +- **none**: No positional encoding is applied. + +## The initialization function `initialization_fn` + +The function to be used to initialize the model weights. Options include: _[default: kaiming]_ + +- **xavier**: Xavier initialization + - `gain`: The gain value for the initialization _[default: 1.0]_ +- **kaiming**: Kaiming initialization + - `mode`: The mode of the initialization _[default: fan_in]_ + - `nonlinearity`: The nonlinearity function to be used _[default: gelu]_ +- **none**: No initialization + +# TODO: implement the initialization parameters + +# Other sub-configs that might be necessary (as specified above) + +### Feed Forward Network `ffn` [feedforward.py] + +- **generic (link the code)**: A standard FFN block with two linear layers and an activation in-between. + + - `ffn_dim`: The feed-forward dimension (commonly 4x hidden-dim) + - `bias`: true/false whether the bias units in the linear layers should be used _[defaul: false]_ + - `ffn_dropout`: The dropout rate to be used at the beginning of the feed-forward network. _[default: 0.0]_ + - `activation`: The name of the activation function to be used. Options include: _[defaul: gelu]_ + - _gelu_: https://pytorch.org/docs/stable/generated/torch.nn.GELU.html + - _relu_: https://pytorch.org/docs/stable/generated/torch.nn.ReLU.html + - _leakyrelu_: https://pytorch.org/docs/stable/generated/torch.nn.LeakyReLU.html + - _tanh_: https://pytorch.org/docs/stable/generated/torch.nn.Tanh.html + - _sigmoid_: https://pytorch.org/docs/stable/generated/torch.nn.Sigmoid.html + - _silu_: https://pytorch.org/docs/stable/generated/torch.nn.SiLU.html + - _none_: https://pytorch.org/docs/stable/generated/torch.nn.Identity.html + - `normalization`: The name of the normalization function to be used. The options are listed here _[TODO: link to normalization]_ + +- **silu_ffn (link the code)**: introduces a gating mechanism by applying the SiLU activation function to one linear transformation of the input, then multiplying it with another linear transformation. This allows for dynamic feature modulation, enhancing the network's expressiveness. + - `ffn_dim`: The feed-forward dimension + - `bias`: true/false whether the bias units in the linear layers should be used _[defaul: false]_ + - `normalization`: The name of the normalization function to be used. The options are listed here _[TODO: link to normalization]_ + +### Attention `attn` [attention.py] + +- **causal (link the code)**: A standard MHA block. + + - `num_kv_heads`: The number of K and V heads. + - `num_q_heads`: The number of Q heads. If GQA is not intended to be used, this can be skipped and will default to `num_kv_heads`. _[default: num_kv_heads]_ + - `bias`: true/false whether the bias units in the linear layers should be used _[defaul: false]_ + - `attn_dropout`: The dropout rate to be used at the beginning of the attention block. _[default: 0.0]_ + - `normalization`: The name of the normalization function to be used. The options are listed here _[TODO: link to normalization]_ + +- **bidirectional (link the code)**: A standard MHA block. + - `num_kv_heads`: The number of K and V heads. + - `num_q_heads`: The number of Q heads. If GQA is not intended to be used, this can be skipped and will default to `num_kv_heads`. _[default: num_kv_heads]_ + - `bias`: true/false whether the bias units in the linear layers should be used _[defaul: false]_ + +### Normalization `normalization` [normalization.py] + +The name of the normalization to be used. Options include: _[defaul: rms_norm]_ + +- **rms_norm**: (Root Mean Square Normalization): Normalizes the input based on its root mean square (RMS) to stabilize training by controlling the variance of the activations. +- **layer_norm**: (Layer Normalization): Normalizes the input across features in each layer to ensure consistent activation distributions and improve convergence. +- **none**: No normalization is applied. + +(TODO include an example .yaml file and link to it) + +# Trainer Configuration (`trainer`) + +The trainer configuration contains the settings for training the model. There are a number of main trainers to choose from, each with their own sub-configurations. The main trainers are: + +## Base Trainer + +The base trainer is a standard trainer that can be used for most standard language model training tasks (like autoregressive pre-training, MLM-based pre-training, fine-tuning, etc.). To use the base trainer, just set `trainer_type` to **base_trainer**. The following are the sub-configurations for the base trainer: + +- `dataset`: The name of the dataset to be used for training. +- `batch_size`: The batch size to be used for training. +- `gradient_accumulation_steps`: The number of gradient accumulation steps. +- `max_iters`: The maximum number of iterations. +- `decay_lr`: Whether the learning rate should be decayed during training _[default: true]_ +- `lr_decay_iters`: The number of iterations after which the learning rate decays _[default: max_iters]_ +- `warmup_iters`: The number of warmup iterations. +- `eval_interval`: The number of steps after which the model goes through the inter-training evaluation. _[default: 2000]_ +- `log_interval`: The number of steps after which the model logs the training progress. _[default: 10]_ +- `checkpoint_interval`: The number of steps after which the model saves a checkpoint. _[default: 10000]_ +- `lr_scheduler`: The learning rate scheduler to be used. Options include: + - **cosine**: Cosine learning rate decay. +- `dataloader`: The dataloader to be used. Options include: + - **standard**: Standard dataloader. +- `datasampling`: The data sampling strategy to be used. Options include: + - **standard**: Standard dataloader. +- `loss_fn`: The loss function to be used. Options include: + - **cross_entropy**: Cross-entropy loss. + - **next_token_mlm**: The masked language modeling next token loss. +- `eval`: The evaluation sub-config _[TODO: link to the sub-config]_ +- `optimizer`: The optimizer sub-config _[TODO: link to the sub-config]_ + +### Evaluation Sub-config (`eval`) + +It can be important to estimate model performance during training. To that end, you can specify the evaluation sub-config. + +- `mcq_benchmarks`: A list of benchmarks to evaluate on. The available benchmarks are: + - **winogrande**: + - **hellaswag**: + - **arc_easy**: + - **mmlu**: + - **blimp**: + - **truthful_qa**: + - **piqa**: + - **race_middle**: + - **race_high**: + - **boolq**: + - **openbook_qa_closed**: + - **openbook_qa_open**: + - **copa**: + - **commonsense_qa**: + - **stlm_eval_arc_easy**: + - **stlm_eval_hellaswag**: + - **stlm_eval_truthful_qa**: + - **stlm_eval_winogrande**: +- `num_samples`: The number of samples for evaluation. _[default: 1000]_ +- `dataset_loss_eval_iters`: The number of iterations after which the dataset loss is evaluated. _[default: 1000]_ +- `text_modeling_eval`: true/false whether to evaluate the text modeling capacity. _[default: true]_ + +### Optimizer Sub-config (`optimizer`) + +Each optimizer requires a number of different values to be specified. Here are the optimizer options: + +- **AdamW** (`optimizer_name`): The basic AdamW optimizer + - `lr`: The learning rate _[default: 6e-4]_ + - `min_lr`: The minimum learning rate _[default: 6e-6]_ + - `weight_decay`: The weight decay factor _[default: 0.01]_ + - `beta1`: The beta1 value for the Adam optimizer _[default: 0.9]_ + - `beta2`: The beta2 value for the Adam optimizer _[default: 0.999]_ + - `grad_clip`: The gradient clipping value _[default: 1.0]_ + +# General Configuration (`general`) + +## Logging (`logging`) + +Defines logging options. + +- **wandb_log**: Boolean flag to enable/disable logging to Weights & Biases. _[default: false]_ +- **wandb_project**: Name of the Weights & Biases project. _[default: SuperTinyLanguageModels]_ +- **wandb_run_name**: Custom name for the run. Highly encouraged. If not provided, will be as descriptive as possible. _[default: None]_ + +## Paths (`paths`) + +Defines paths for saving outputs, data, checkpoints, and evaluations. + +- **output_dir**: Directory for output files. +- **data_dir**: Directory for data files. +- **checkpoint_dir**: Directory for checkpoints. +- **eval_dir**: Directory for evaluation files. + +## Seed (`seed`) + +Defines the random seed used for reproducibility. + +## Device (`device`) + +Defines the device for training and evaluation _[default: cuda]_ diff --git a/pre_reports/dropout_prereport.pdf b/Non-code/pre_reports/dropout_prereport.pdf similarity index 100% rename from pre_reports/dropout_prereport.pdf rename to Non-code/pre_reports/dropout_prereport.pdf diff --git a/__init__.py b/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/check_size.py b/check_size.py new file mode 100644 index 00000000..0595a76a --- /dev/null +++ b/check_size.py @@ -0,0 +1,22 @@ +""" +Check model parameter count +""" +import hydra +from models.build_models import build_model +from models.utils import print_model_stats + +@hydra.main(config_path="configs/training_configs", config_name="baseline") +def main(cfg): + if "full_configs" in cfg: + cfg = cfg["full_configs"] + model = build_model(model_cfg=cfg["model"])[0] + + # print full parameter count + print_model_stats(model) + + + +if __name__ == "__main__": + # pylint: disable=no-value-for-parameter + main() + # pylint: enable=no-value-for-parameter \ No newline at end of file diff --git a/configs/full_configs/baseline-bpe-10k.yaml b/configs/full_configs/baseline-bpe-10k.yaml deleted file mode 100644 index fecfc674..00000000 --- a/configs/full_configs/baseline-bpe-10k.yaml +++ /dev/null @@ -1,86 +0,0 @@ -model: - core_model: - core_model_type: generic - num_layers: 16 - ffn: - ffn_type: swiglu - ffn_dim: 1320 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: bpe-subsampled - embedding_model_type: generic - dataset_name: stlm - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 512 - context_window: 512 - vocab_size: 10000 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.1 - dataset: openwebtext - training: - trainer_type: base_trainer - batch_size: 24 - gradient_accumulation_steps: 20 - max_iters: 30000 - lr_decay_iters: 30000 - warmup_iters: 5000 - eval_interval: 2000 - log_interval: 10 - eval_iters: 500 - checkpoint_interval: 1000000000.0 - run_profiler: false - eval: - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 5000 - lr_scheduler: - name: cosine - dataloader: - name: standard - datasampling: - name: standard - loss_fn: - name: cross_entropy -general: - logging: - wandb_log: false - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - eval_dir: evals - seed: 489 - device: cuda diff --git a/configs/full_configs/baseline-shared.yaml b/configs/full_configs/baseline-shared.yaml deleted file mode 100644 index 6683a3ca..00000000 --- a/configs/full_configs/baseline-shared.yaml +++ /dev/null @@ -1,89 +0,0 @@ -model: - k_interior_layers: 2 - lora_rank: 96 - core_model: - core_model_type: ffn_lora_sharing - num_layers: 18 - ffn: - ffn_type: swiglu - ffn_dim: 1650 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: bpe-retrain - embedding_model_type: generic - dataset_name: en_wiki - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 640 - context_window: 512 - vocab_size: 10000 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.0 - dataset: pints - training: - trainer_type: base_trainer - batch_size: 24 - gradient_accumulation_steps: 20 - max_iters: 150000 - lr_decay_iters: 150000 - warmup_iters: 20000 - eval_interval: 2000 - log_interval: 10 - eval_iters: 500 - checkpoint_interval: 10000.0 - run_profiler: false - eval: - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 20000 - lr_scheduler: - name: cosine - dataloader: - name: standard - datasampling: - name: standard - loss_fn: - name: cross_entropy -general: - logging: - wandb_log: true - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - eval_dir: evals - tokenizer_dir: models/components/tokenizers/tokenizer_models - seed: 489 - device: cuda diff --git a/configs/full_configs/baseline-small copy.yaml b/configs/full_configs/baseline-small copy.yaml deleted file mode 100644 index d73d823b..00000000 --- a/configs/full_configs/baseline-small copy.yaml +++ /dev/null @@ -1,89 +0,0 @@ -model: - k_interior_layers: 1 - lora_rank: 64 - checkpoint_path: Null - core_model: - core_model_type: ffn_lora_sharing - num_layers: 6 - ffn: - ffn_type: swiglu - ffn_dim: 1072 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: bpe-retrain - embedding_model_type: generic - dataset_name: en_wiki - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 416 - context_window: 2048 - vocab_size: 4000 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.0 - dataset: tiny_pile - training: - trainer_type: base_trainer - batch_size: 24 - gradient_accumulation_steps: 20 - max_iters: 30000 - lr_decay_iters: 30000 - warmup_iters: 5000 - eval_interval: 2000 - log_interval: 10 - eval_iters: 500 - checkpoint_interval: 10000.0 - run_profiler: false - eval: - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 5000 - lr_scheduler: - name: cosine - dataloader: - name: standard - datasampling: - name: standard - loss_fn: - name: cross_entropy -general: - logging: - wandb_log: true - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - eval_dir: evals - seed: 489 - device: cuda diff --git a/configs/full_configs/baseline-small-continue.yaml b/configs/full_configs/baseline-small-continue.yaml deleted file mode 100644 index 39bab686..00000000 --- a/configs/full_configs/baseline-small-continue.yaml +++ /dev/null @@ -1,89 +0,0 @@ -model: - k_interior_layers: 1 - lora_rank: 64 - checkpoint_path: ckpt_70000.pt - core_model: - core_model_type: ffn_lora_sharing - num_layers: 6 - ffn: - ffn_type: swiglu - ffn_dim: 1072 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: bpe-retrain - embedding_model_type: generic - dataset_name: en_wiki - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 416 - context_window: 512 - vocab_size: 4000 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.0 - dataset: simple_en_wiki - training: - trainer_type: base_trainer - batch_size: 24 - gradient_accumulation_steps: 20 - max_iters: 80000 - lr_decay_iters: 80000 - warmup_iters: 10000 - eval_interval: 2000 - log_interval: 10 - eval_iters: 500 - checkpoint_interval: 10000.0 - run_profiler: false - eval: - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 10000 - lr_scheduler: - name: cosine - dataloader: - name: standard - datasampling: - name: standard - loss_fn: - name: cross_entropy -general: - logging: - wandb_log: false - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - eval_dir: evals - seed: 489 - device: cpu diff --git a/configs/full_configs/baseline-small-moe-global.yaml b/configs/full_configs/baseline-small-moe-global.yaml deleted file mode 100644 index bcd4ec7f..00000000 --- a/configs/full_configs/baseline-small-moe-global.yaml +++ /dev/null @@ -1,92 +0,0 @@ -model: - k_interior_layers: 1 - lora_rank: 64 - checkpoint_path: Null - core_model: - core_model_type: ffn_lora_sharing_moe - num_layers: 14 - ffn: - ffn_type: swiglu - ffn_dim: 1072 - normalization: rms_norm - bias: false - lora_rank: 32 - n_experts: 8 - lora_alpha: 1.0 - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: bpe-retrain - embedding_model_type: generic - dataset_name: en_wiki - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 416 - context_window: 1024 - vocab_size: 4000 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.0 - dataset: tiny_pile - training: - trainer_type: base_trainer - batch_size: 2 - gradient_accumulation_steps: 20 - max_iters: 10000 - lr_decay_iters: 10000 - warmup_iters: 1000 - eval_interval: 1000 - log_interval: 10 - eval_iters: 500 - checkpoint_interval: 5000.0 - run_profiler: false - eval: - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 1000 - lr_scheduler: - name: cosine - dataloader: - name: standard - datasampling: - name: standard - loss_fn: - name: cross_entropy -general: - logging: - wandb_log: false - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - eval_dir: evals - seed: 489 - device: cuda diff --git a/configs/full_configs/baseline-small-moe.yaml b/configs/full_configs/baseline-small-moe.yaml deleted file mode 100644 index f61f5475..00000000 --- a/configs/full_configs/baseline-small-moe.yaml +++ /dev/null @@ -1,92 +0,0 @@ -model: - k_interior_layers: 1 - lora_rank: 64 - checkpoint_path: Null - core_model: - core_model_type: ffn_lora_sharing_moe - num_layers: 10 - ffn: - ffn_type: swiglu - ffn_dim: 1072 - normalization: rms_norm - bias: false - lora_rank: 64 - n_experts: 16 - lora_alpha: 1.0 - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: bpe-retrain - embedding_model_type: generic - dataset_name: en_wiki - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 416 - context_window: 512 - vocab_size: 4000 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.0 - dataset: pints - training: - trainer_type: base_trainer - batch_size: 12 - gradient_accumulation_steps: 40 - max_iters: 80000 - lr_decay_iters: 80000 - warmup_iters: 10000 - eval_interval: 2000 - log_interval: 10 - eval_iters: 500 - checkpoint_interval: 10000.0 - run_profiler: false - eval: - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.01 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 10000 - lr_scheduler: - name: cosine - dataloader: - name: standard - datasampling: - name: standard - loss_fn: - name: cross_entropy -general: - logging: - wandb_log: true - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - eval_dir: evals - seed: 489 - device: cuda diff --git a/configs/full_configs/baseline-small-simple.yaml b/configs/full_configs/baseline-small-simple.yaml deleted file mode 100644 index 733b92ba..00000000 --- a/configs/full_configs/baseline-small-simple.yaml +++ /dev/null @@ -1,89 +0,0 @@ -model: - k_interior_layers: 1 - lora_rank: 64 - checkpoint_path: Null - core_model: - core_model_type: generic - num_layers: 6 - ffn: - ffn_type: swiglu - ffn_dim: 1072 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: bpe-retrain - embedding_model_type: generic - dataset_name: en_wiki - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 416 - context_window: 512 - vocab_size: 4000 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.0 - dataset: simple_en_wiki - training: - trainer_type: base_trainer - batch_size: 24 - gradient_accumulation_steps: 20 - max_iters: 80000 - lr_decay_iters: 80000 - warmup_iters: 10000 - eval_interval: 2000 - log_interval: 10 - eval_iters: 500 - checkpoint_interval: 10000.0 - run_profiler: false - eval: - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 10000 - lr_scheduler: - name: cosine - dataloader: - name: standard - datasampling: - name: standard - loss_fn: - name: cross_entropy -general: - logging: - wandb_log: false - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - eval_dir: evals - seed: 489 - device: cuda diff --git a/configs/full_configs/baseline-small.yaml b/configs/full_configs/baseline-small.yaml deleted file mode 100644 index 60eeed9d..00000000 --- a/configs/full_configs/baseline-small.yaml +++ /dev/null @@ -1,89 +0,0 @@ -model: - k_interior_layers: 1 - lora_rank: 64 - checkpoint_path: Null - core_model: - core_model_type: ffn_lora_sharing - num_layers: 6 - ffn: - ffn_type: swiglu - ffn_dim: 1072 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: bpe-retrain - embedding_model_type: generic - dataset_name: en_wiki - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 416 - context_window: 2048 - vocab_size: 4000 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.0 - dataset: tiny_pile - training: - trainer_type: base_trainer - batch_size: 24 - gradient_accumulation_steps: 20 - max_iters: 80000 - lr_decay_iters: 80000 - warmup_iters: 10000 - eval_interval: 2000 - log_interval: 10 - eval_iters: 500 - checkpoint_interval: 10000.0 - run_profiler: false - eval: - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 10000 - lr_scheduler: - name: cosine - dataloader: - name: standard - datasampling: - name: standard - loss_fn: - name: cross_entropy -general: - logging: - wandb_log: false - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - eval_dir: evals - seed: 489 - device: cuda diff --git a/configs/full_configs/baseline-wide.yaml b/configs/full_configs/baseline-wide.yaml deleted file mode 100644 index 0dc04bd4..00000000 --- a/configs/full_configs/baseline-wide.yaml +++ /dev/null @@ -1,86 +0,0 @@ -model: - core_model: - core_model_type: generic - num_layers: 7 - ffn: - ffn_type: swiglu - ffn_dim: 1900 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: bpe-subsampled - embedding_model_type: generic - dataset_name: stlm - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 768 - context_window: 512 - vocab_size: 10000 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.1 - dataset: openwebtext - training: - trainer_type: base_trainer - batch_size: 24 - gradient_accumulation_steps: 20 - max_iters: 30000 - lr_decay_iters: 30000 - warmup_iters: 5000 - eval_interval: 2000 - log_interval: 10 - eval_iters: 500 - checkpoint_interval: 1000000000.0 - run_profiler: false - eval: - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 5000 - lr_scheduler: - name: cosine - dataloader: - name: standard - datasampling: - name: standard - loss_fn: - name: cross_entropy -general: - logging: - wandb_log: false - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - eval_dir: evals - seed: 489 - device: cuda diff --git a/configs/full_configs/baseline.yaml b/configs/full_configs/baseline.yaml deleted file mode 100644 index 28e4eb14..00000000 --- a/configs/full_configs/baseline.yaml +++ /dev/null @@ -1,86 +0,0 @@ -model: - core_model: - core_model_type: generic - num_layers: 8 - ffn: - ffn_type: swiglu - ffn_dim: 1320 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: gpt2 - embedding_model_type: generic - dataset_name: stlm - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 512 - context_window: 512 - vocab_size: 50257 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.1 - dataset: openwebtext - training: - trainer_type: base_trainer - batch_size: 24 - gradient_accumulation_steps: 20 - max_iters: 30000 - lr_decay_iters: 30000 - warmup_iters: 5000 - eval_interval: 2000 - log_interval: 10 - eval_iters: 500 - checkpoint_interval: 1000000000.0 - run_profiler: false - eval: - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 5000 - lr_scheduler: - name: cosine - dataloader: - name: standard - datasampling: - name: standard - loss_fn: - name: cross_entropy -general: - logging: - wandb_log: false - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - eval_dir: evals - seed: 489 - device: cuda diff --git a/configs/full_configs/baseline_llama_30k.yaml b/configs/full_configs/baseline_llama_30k.yaml deleted file mode 100644 index 4927e2eb..00000000 --- a/configs/full_configs/baseline_llama_30k.yaml +++ /dev/null @@ -1,86 +0,0 @@ -model: - core_model: - core_model_type: generic - num_layers: 8 - ffn: - ffn_type: swiglu - ffn_dim: 1320 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: llama_30k - embedding_model_type: generic - dataset_name: stlm - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 512 - context_window: 512 - vocab_size: 32001 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.1 - dataset: openwebtext - training: - trainer_type: base_trainer - batch_size: 24 - gradient_accumulation_steps: 20 - max_iters: 30000 - lr_decay_iters: 30000 - warmup_iters: 5000 - eval_interval: 2000 - log_interval: 10 - eval_iters: 500 - checkpoint_interval: 1000000000.0 - run_profiler: false - eval: - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 5000 - lr_scheduler: - name: cosine - dataloader: - name: standard - datasampling: - name: standard - loss_fn: - name: cross_entropy -general: - logging: - wandb_log: false - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - eval_dir: evals - seed: 489 - device: cuda diff --git a/configs/full_configs/baseline_next_thought.yaml b/configs/full_configs/baseline_next_thought.yaml deleted file mode 100644 index 72631043..00000000 --- a/configs/full_configs/baseline_next_thought.yaml +++ /dev/null @@ -1,114 +0,0 @@ -model: - core_model: - core_model_type: next_thought_baseline - - embedder: - tokenizer_type: gpt2 - embedding_model_type: hierarchical - dataset_name: simple_en_wiki - pooling_layers: 5 - pooling_dims: [768, 1920, 1920, 1920, 4800] - pooling_pct_per_layer: [0.3, 0.5, 0.6, 0.6] - num_heads: 12 - context_window: 512 - - standard_ffn_block: - ffn_type: swiglu - ffn_dim: 1536 - normalization: rms_norm - bias: false - - standard_attn_block: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: false - - lm_head: - lm_head_type: latent_2_seq - latent_decoded_into: 16 - num_layers: 4 - - standard_ffn_block: - ffn_type: swiglu - ffn_dim: 1536 - normalization: rms_norm - bias: false - - standard_attn_block: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - - latent_dim: 4800 - embedding_dim: 768 - hidden_dim: 768 - - context_window: 512 - vocab_size: 50257 - model_shell_type: standard - embedding_weight_tying: false - positional_encoding_type: learned - -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.1 - start_dropout_p: 0.0 - end_dropout_p: 0.1 - start_iter: 0 - end_iter: 10000 - dataset: openhermes-2.5 - training: - trainer_type: base_trainer - batch_size: 24 - gradient_accumulation_steps: 20 - max_iters: 25000 - lr_decay_iters: 25000 - warmup_iters: 5000 - eval_interval: 2000 - log_interval: 10 - eval_iters: 500 - checkpoint_interval: 1000000000.0 - run_profiler: false - optimizer: - name: nanoGPTadamW - lr: 0.0018 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 5000 - lr_scheduler: - name: cosine - dataloader: - name: conversational - loss_fn: - name: cross_entropy - eval: - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 5000 - evaluator: "mcq" - -general: - logging: - wandb_log: true - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - seed: 489 - device: cuda diff --git a/configs/full_configs/baseline_opt.yaml b/configs/full_configs/baseline_opt.yaml deleted file mode 100644 index c3ad5c30..00000000 --- a/configs/full_configs/baseline_opt.yaml +++ /dev/null @@ -1,86 +0,0 @@ -model: - core_model: - core_model_type: generic - num_layers: 8 - ffn: - ffn_type: swiglu - ffn_dim: 1320 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: opt - embedding_model_type: generic - dataset_name: stlm - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 512 - context_window: 512 - vocab_size: 50265 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.1 - dataset: openwebtext - training: - trainer_type: base_trainer - batch_size: 24 - gradient_accumulation_steps: 20 - max_iters: 30000 - lr_decay_iters: 30000 - warmup_iters: 5000 - eval_interval: 2000 - log_interval: 10 - eval_iters: 500 - checkpoint_interval: 1000000000.0 - run_profiler: false - eval: - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 5000 - lr_scheduler: - name: cosine - dataloader: - name: standard - datasampling: - name: standard - loss_fn: - name: cross_entropy -general: - logging: - wandb_log: false - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - eval_dir: evals - seed: 489 - device: cuda diff --git a/configs/full_configs/byte_debug.yaml b/configs/full_configs/byte_debug.yaml deleted file mode 100644 index cdedfac6..00000000 --- a/configs/full_configs/byte_debug.yaml +++ /dev/null @@ -1,102 +0,0 @@ -model: - core_model: - core_model_type: generic - num_layers: 10 - ffn: - ffn_type: swiglu - ffn_dim: 1536 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: "gpt2" - byte_tokenizer_type: "bpe" - embedding_model_type: byte_level - byte_context_window: 12 - dataset_name: simple_en_wiki - lm_head: - normalization: rms_norm - bias: false - lm_head_type: byte_level - - hidden_dim: 768 - context_window: 512 - vocab_size: 50257 - byte_vocab_size: 258 - byte_context_window: 12 - byte_embedding_dim: 128 - model_shell_type: standard - embedding_weight_tying: false - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.1 - dataset: simple_en_wiki - training: - trainer_type: base_trainer - batch_size: 4 - gradient_accumulation_steps: 5 - max_iters: 20 - lr_decay_iters: 20 - warmup_iters: 5000 - eval_interval: 10 - log_interval: 5 - eval_iters: 100 - checkpoint_interval: 1000000000.0 - run_profiler: false - - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 10 - lr_scheduler: - name: cosine - dataloader: - name: byte_pooling - loss_fn: - name: cross_entropy - eval: - - evaluator: "ft_qa" - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - max_train_samples: 1000 - max_eval_samples: 1000 - - evaluator: "glue" - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - - -general: - logging: - wandb_log: true - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - seed: 489 - device: cuda diff --git a/configs/full_configs/byte_level.yaml b/configs/full_configs/byte_level.yaml deleted file mode 100644 index 41798751..00000000 --- a/configs/full_configs/byte_level.yaml +++ /dev/null @@ -1,104 +0,0 @@ -model: - core_model: - core_model_type: generic - num_layers: 10 - ffn: - ffn_type: swiglu - ffn_dim: 1536 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: "gpt2" - byte_tokenizer_type: "bpe" - embedding_model_type: byte_level - byte_context_window: 12 - dataset_name: simple_en_wiki - lm_head: - normalization: rms_norm - bias: false - lm_head_type: byte_level - - hidden_dim: 768 - context_window: 512 - vocab_size: 50257 - byte_vocab_size: 258 - byte_context_window: 12 - byte_embedding_dim: 128 - model_shell_type: byte_shell - embedding_weight_tying: false - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.1 - start_dropout_p: 0.0 - end_dropout_p: 0.1 - start_iter: 0 - end_iter: 10000 - dataset: stlm - training: - trainer_type: base_trainer - batch_size: 16 - gradient_accumulation_steps: 30 - max_iters: 50000 - lr_decay_iters: 50000 - warmup_iters: 5000 - eval_interval: 500 - log_interval: 100 - eval_iters: 200 - checkpoint_interval: 1000000000.0 - run_profiler: false - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.99 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 5000 - lr_scheduler: - name: cosine - dataloader: - name: byte_pooling - loss_fn: - name: masked_cross_entropy - eval: - - evaluator: "ft_qa" - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - max_train_samples: 1000 - max_eval_samples: 1000 - - evaluator: "glue" - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - -general: - logging: - wandb_log: true - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - seed: 489 - device: cuda diff --git a/configs/full_configs/byte_level_ffn_sharing.yaml b/configs/full_configs/byte_level_ffn_sharing.yaml deleted file mode 100644 index 7e285265..00000000 --- a/configs/full_configs/byte_level_ffn_sharing.yaml +++ /dev/null @@ -1,92 +0,0 @@ -model: - core_model: - core_model_type: generic_ffn_sharing - num_layers: 16 - ffn: - ffn_type: swiglu - ffn_dim: 1536 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: "gpt2" - byte_tokenizer_type: "bpe" - embedding_model_type: byte_level - byte_context_window: 12 - dataset_name: simple_en_wiki - lm_head: - normalization: rms_norm - bias: false - lm_head_type: byte_level - - hidden_dim: 512 - context_window: 512 - vocab_size: 50257 - byte_vocab_size: 258 - byte_context_window: 12 - byte_embedding_dim: 128 - model_shell_type: standard - embedding_weight_tying: false - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: linear - start_dropout_p: 0.0 - end_dropout_p: 0.1 - start_iter: 0 - end_iter: 10000 - dataset: simple_en_wiki - training: - trainer_type: base_trainer - batch_size: 24 - gradient_accumulation_steps: 20 - max_iters: 25000 - lr_decay_iters: 25000 - warmup_iters: 5000 - eval_interval: 5000 - log_interval: 100 - eval_iters: 500 - checkpoint_interval: 1000000000.0 - run_profiler: false - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 5000 - lr_scheduler: - name: cosine - dataloader: - name: byte_pooling - loss_fn: - name: cross_entropy - eval: - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 5000 - evaluator: "mcq" - -general: - logging: - wandb_log: true - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - seed: 489 - device: cuda diff --git a/configs/full_configs/debug.yaml b/configs/full_configs/debug.yaml deleted file mode 100644 index 9bcde612..00000000 --- a/configs/full_configs/debug.yaml +++ /dev/null @@ -1,96 +0,0 @@ -model: - core_model: - core_model_type: generic - num_layers: 10 - ffn: - ffn_type: swiglu - ffn_dim: 1536 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: gpt2 - embedding_model_type: generic - dataset_name: stlm - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 512 - context_window: 512 - vocab_size: 50257 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.1 - dataset: stlm - training: - trainer_type: base_trainer - batch_size: 4 - gradient_accumulation_steps: 4 - max_iters: 20 - lr_decay_iters: 20 - warmup_iters: 5000 - eval_interval: 10 - log_interval: 5 - eval_iters: 100 - checkpoint_interval: 1000000000.0 - run_profiler: false - - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 10 - lr_scheduler: - name: cosine - dataloader: - name: standard - loss_fn: - name: cross_entropy - - eval: - - evaluator: "ft_qa" - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - max_train_samples: 1000 - max_eval_samples: 1000 - - evaluator: "glue" - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - -general: - logging: - wandb_log: false - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - seed: 489 - device: cuda diff --git a/configs/full_configs/ffn_sharing.yaml b/configs/full_configs/ffn_sharing.yaml deleted file mode 100644 index 2a8e1177..00000000 --- a/configs/full_configs/ffn_sharing.yaml +++ /dev/null @@ -1,82 +0,0 @@ -model: - core_model: - core_model_type: generic_ffn_sharing - num_layers: 10 - ffn: - ffn_type: swiglu - ffn_dim: 1536 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: true - embedder: - tokenizer_type: gpt2 - embedding_model_type: generic - dataset_name: simple_en_wiki - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 512 - context_window: 512 - vocab_size: 50257 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.1 - dataset: stlm - training: - trainer_type: base_trainer - batch_size: 24 - gradient_accumulation_steps: 20 - max_iters: 25000 - lr_decay_iters: 25000 - warmup_iters: 5000 - eval_interval: 2000 - log_interval: 10 - eval_iters: 500 - checkpoint_interval: 1000000000.0 - run_profiler: false - eval: - benchmarks: - - winograd - - hellaswag - - arc - - mmlu - - blimp - num_samples: 5000 - evaluator: mcq - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 5000 - lr_scheduler: - name: cosine - dataloader: - name: standard - loss_fn: - name: cross_entropy -general: - logging: - wandb_log: true - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - seed: 489 - device: cuda diff --git a/configs/full_configs/gpt2_next_token_mlm.yaml b/configs/full_configs/gpt2_next_token_mlm.yaml deleted file mode 100644 index 000415ad..00000000 --- a/configs/full_configs/gpt2_next_token_mlm.yaml +++ /dev/null @@ -1,86 +0,0 @@ -model: - core_model: - core_model_type: generic - num_layers: 10 - ffn: - ffn_type: swiglu - ffn_dim: 1536 - normalization: rms_norm - bias: false - attn: - attn_type: generic - num_heads: 16 - normalization: rms_norm - group_size: 4 - bias: false - is_causal: false - embedder: - tokenizer_type: gpt2 - embedding_model_type: generic - dataset_name: simple_en_wiki - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 512 - context_window: 512 - vocab_size: 50257 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: linear - start_dropout_p: 0.0 - end_dropout_p: 0.1 - start_iter: 0 - end_iter: 10000 - dataset: simple_en_wiki - training: - trainer_type: base_trainer - batch_size: 24 - gradient_accumulation_steps: 20 - max_iters: 25000 - lr_decay_iters: 25000 - warmup_iters: 5000 - eval_interval: 10 - log_interval: 1 - eval_iters: 200 - checkpoint_interval: 1000000000.0 - run_profiler: false - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 5000 - lr_scheduler: - name: cosine - dataloader: - name: next_token_mlm - loss_fn: - name: next_token_mlm - eval: - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 5000 - evaluator: "mcq" - -general: - logging: - wandb_log: false - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - seed: 489 - device: cuda diff --git a/configs/full_configs/gpt2_qwen_training.yaml b/configs/full_configs/gpt2_qwen_training.yaml deleted file mode 100644 index 50971552..00000000 --- a/configs/full_configs/gpt2_qwen_training.yaml +++ /dev/null @@ -1,81 +0,0 @@ -model: - model_string: "Qwen/Qwen2-0.5B" - core_model: - core_model_type: hf_core - embedder: - tokenizer_type: gpt2 - embedding_model_type: generic - dataset_name: stlm - lm_head: - normalization: rms_norm - bias: false - lm_head_type: generic - hidden_dim: 896 - context_window: 512 - vocab_size: 50257 - model_shell_type: standard - embedding_weight_tying: true - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.1 - dataset: openwebtext - training: - trainer_type: base_trainer - batch_size: 6 - gradient_accumulation_steps: 20 - max_iters: 50000 - lr_decay_iters: 50000 - warmup_iters: 5000 - eval_interval: 2000 - log_interval: 10 - eval_iters: 500 - checkpoint_interval: 1000000000.0 - run_profiler: false - eval: - - evaluator: "ft_qa" - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - max_train_samples: 1000 - max_eval_samples: 1000 - - evaluator: "glue" - - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 1000 - evaluator: "mcq" - - evaluator: "prog" - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 5000 - lr_scheduler: - name: cosine - dataloader: - name: standard - loss_fn: - name: cross_entropy -general: - logging: - wandb_log: False - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - seed: 489 - device: cuda diff --git a/configs/full_configs/hugging_face.yaml b/configs/full_configs/hugging_face.yaml deleted file mode 100644 index a4f88ea6..00000000 --- a/configs/full_configs/hugging_face.yaml +++ /dev/null @@ -1,63 +0,0 @@ -model: - model_string: "microsoft/Phi-3-mini-4k-instruct" - core_model: - core_model_type: hf_core - embedder: - embedding_model_type: hf_embedder - tokenizer_type: hf_tokenizer - dataset_name: simple_en_wiki - lm_head: - lm_head_type: hf_head - hidden_dim: 3072 - context_window: 512 - vocab_size: 32064 - model_shell_type: standard - embedding_weight_tying: false - positional_encoding_type: rope -trainer: - dropout_scheduler: - dropout_type: constant - dropout: 0.1 - dataset: simple_en_wiki - training: - trainer_type: mock_trainer - batch_size: 2 - gradient_accumulation_steps: 1 - max_iters: 3 - lr_decay_iters: 10 - warmup_iters: 0 - eval_interval: 2 - log_interval: 1 - eval_iters: 1 - checkpoint_interval: 1000000000.0 - run_profiler: false - - optimizer: - name: nanoGPTadamW - lr: 0.0006 - min_lr: 6.0e-05 - weight_decay: 0.1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: true - warmup_iters: 5000 - lr_scheduler: - name: cosine - dataloader: - name: standard - loss_fn: - name: cross_entropy - eval: - - evaluator: "glue" - -general: - logging: - wandb_log: true - wandb_project: SuperTinyLanguageModels - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - seed: 489 - device: cuda diff --git a/configs/general/default.yaml b/configs/general/default.yaml deleted file mode 100644 index 9467d1c2..00000000 --- a/configs/general/default.yaml +++ /dev/null @@ -1,11 +0,0 @@ -logging: - wandb_log: True - wandb_project: "SuperTinyLanguageModels" - -paths: - output_dir: "outputs" - data_dir: "data" - checkpoint_dir: "checkpoints" - -seed: 489 -device: cuda diff --git a/configs/generate.yaml b/configs/generate.yaml index 1a9cbf40..ecbf7e0c 100644 --- a/configs/generate.yaml +++ b/configs/generate.yaml @@ -1,4 +1,9 @@ -defaults: - - generator: baseline model_ckpt: "checkpoints/...pt" - +temperature: 1.2 +top_k: 200 +max_new_tokens: 100 +beam_width: 15 +use_sampling: true +repetition_penalty: 1.2 +repetition_window: 32 +input_text: "Earth is the third planet from the Sun and the only astronomical object known to harbor life. This is enabled by Earth being an ocean world, the only one in the Solar System sustaining liquid surface water." diff --git a/configs/generator/baseline.yaml b/configs/generator/beam_search.yaml similarity index 100% rename from configs/generator/baseline.yaml rename to configs/generator/beam_search.yaml diff --git a/configs/generator/standard.yaml b/configs/generator/standard.yaml new file mode 100644 index 00000000..38a69cbd --- /dev/null +++ b/configs/generator/standard.yaml @@ -0,0 +1,8 @@ +temperature: 1.2 +top_k: 200 +max_new_tokens: 100 +beam_width: 15 +use_sampling: true +repetition_penalty: 1.2 +repetition_window: 32 +input_text: "Let's consider a simple Python program that adds two integers." diff --git a/configs/model/baseline.yaml b/configs/model/baseline.yaml deleted file mode 100644 index a4201ef4..00000000 --- a/configs/model/baseline.yaml +++ /dev/null @@ -1,11 +0,0 @@ -defaults: - - core_model: baseline - - embedder: baseline - - lm_head: baseline - -hidden_dim: 512 -context_window: 512 -vocab_size: 50257 -model_shell_type: "standard" -embedding_weight_tying: True -positional_encoding_type: "rope" diff --git a/configs/model/core_model/baseline.yaml b/configs/model/core_model/baseline.yaml deleted file mode 100644 index a16c2d3e..00000000 --- a/configs/model/core_model/baseline.yaml +++ /dev/null @@ -1,14 +0,0 @@ -core_model_type: "generic" -num_layers: 10 -ffn: - ffn_type: "swiglu" - ffn_dim: 1536 - normalization: "rms_norm" - bias: False -attn: - attn_type: "generic" - num_heads: 16 - normalization: "rms_norm" - group_size: 4 - bias: False - is_causal: True diff --git a/configs/model/embedder/baseline.yaml b/configs/model/embedder/baseline.yaml deleted file mode 100644 index ded849e0..00000000 --- a/configs/model/embedder/baseline.yaml +++ /dev/null @@ -1,3 +0,0 @@ -tokenizer_type: "gpt2" -embedding_model_type: "generic" -dataset_name: "simple_en_wiki" \ No newline at end of file diff --git a/configs/model/lm_head/baseline.yaml b/configs/model/lm_head/baseline.yaml deleted file mode 100644 index 0fb66768..00000000 --- a/configs/model/lm_head/baseline.yaml +++ /dev/null @@ -1,3 +0,0 @@ -normalization: "rms_norm" -bias: False -lm_head_type: "generic" \ No newline at end of file diff --git a/configs/model/lm_head/hf_lm.yaml b/configs/model/lm_head/hf_lm.yaml deleted file mode 100644 index c15bb88d..00000000 --- a/configs/model/lm_head/hf_lm.yaml +++ /dev/null @@ -1 +0,0 @@ -lm_head_type: "hf_lm" diff --git a/configs/testing/baseline.yaml b/configs/testing/baseline.yaml deleted file mode 100644 index fa35e573..00000000 --- a/configs/testing/baseline.yaml +++ /dev/null @@ -1,7 +0,0 @@ -benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" -evaluator_name: "mcq" diff --git a/configs/testing/llm_harness.yaml b/configs/testing/llm_harness.yaml deleted file mode 100644 index 89d6c3de..00000000 --- a/configs/testing/llm_harness.yaml +++ /dev/null @@ -1,7 +0,0 @@ -benchmarks: - - "winogrande" - - "hellaswag" - - "arc_easy" - - "mmlu" - - "blimp" -evaluator_name: "llm_harness" diff --git a/configs/train.yaml b/configs/train.yaml deleted file mode 100644 index 15502d14..00000000 --- a/configs/train.yaml +++ /dev/null @@ -1,4 +0,0 @@ -defaults: -- model: baseline -- trainer: baseline -- general: default diff --git a/configs/trainer/baseline.yaml b/configs/trainer/baseline.yaml deleted file mode 100644 index 1fe35634..00000000 --- a/configs/trainer/baseline.yaml +++ /dev/null @@ -1,47 +0,0 @@ -defaults: - - dropout_scheduler: constant - -dataset: "stlm" - -training: - trainer_type: "base_trainer" - batch_size: 24 - gradient_accumulation_steps: 20 - max_iters: 25000 - lr_decay_iters: 25000 - warmup_iters: 5000 - eval_interval: 2000 - log_interval: 10 - eval_iters: 200 - checkpoint_interval: 1e9 - run_profiler: false - -eval: - benchmarks: - - "winograd" - - "hellaswag" - - "arc" - - "mmlu" - - "blimp" - num_samples: 5000 - evaluator: "mcq" - -optimizer: - name: "nanoGPTadamW" - lr: 6e-4 - min_lr: 6e-5 - weight_decay: 1e-1 - beta1: 0.9 - beta2: 0.95 - grad_clip: 1.0 - decay_lr: True - warmup_iters: 5000 - -lr_scheduler: - name: "cosine" - -dataloader: - name: "standard" - -loss_fn: - name: "cross_entropy" diff --git a/configs/trainer/dropout_scheduler/constant.yaml b/configs/trainer/dropout_scheduler/constant.yaml deleted file mode 100644 index c609361b..00000000 --- a/configs/trainer/dropout_scheduler/constant.yaml +++ /dev/null @@ -1,2 +0,0 @@ -dropout_type: "constant" -dropout: 0.1 diff --git a/configs/trainer/dropout_scheduler/linear_up.yaml b/configs/trainer/dropout_scheduler/linear_up.yaml deleted file mode 100644 index a4d5dd19..00000000 --- a/configs/trainer/dropout_scheduler/linear_up.yaml +++ /dev/null @@ -1,5 +0,0 @@ -dropout_type: "linear" -start_dropout_p: 0.0 -end_dropout_p: 0.1 -start_iter: 0 -end_iter: 25000 diff --git a/configs/trainer/dropout_scheduler/triangle.yaml b/configs/trainer/dropout_scheduler/triangle.yaml deleted file mode 100644 index d55780fe..00000000 --- a/configs/trainer/dropout_scheduler/triangle.yaml +++ /dev/null @@ -1,4 +0,0 @@ -dropout_type: "triangle" -dropout_trough: 0.0 -dropout_peak: 0.1 -cycle_factor: 4.0 diff --git a/configs/training_configs/baseline-large.yaml b/configs/training_configs/baseline-large.yaml new file mode 100644 index 00000000..81df95d2 --- /dev/null +++ b/configs/training_configs/baseline-large.yaml @@ -0,0 +1,99 @@ +model: + core_model_type: generic + num_layers: 8 + ffn: + ffn_type: generic + ffn_dim: 2048 + activation: gelu + normalization: rms_norm + bias: true + dropout: 0.0 + attn: + attn_type: causal + num_kv_heads: 16 + num_q_heads: 4 + normalization: rms_norm + bias: true + dropout: false + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + vocab_size: 10000 + + hidden_dim: 512 + context_window: 1024 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: true + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: pints + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 80000 + eval_interval: 2000 + log_interval: 10 + checkpoint_interval: 20000 + eval_iters: 1000 + + eval: + - mcq_benchmarks: + - "winograd" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + num_samples: 1000 + + optimizer: + optimizer_name: adamW + lr: 6.0e-4 + min_lr: 6.0e-6 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.999 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 10000 + lr_decay_iters: + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: false + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/training_configs/baseline.yaml b/configs/training_configs/baseline.yaml new file mode 100644 index 00000000..a120244a --- /dev/null +++ b/configs/training_configs/baseline.yaml @@ -0,0 +1,99 @@ +model: + core_model_type: generic + num_layers: 8 + ffn: + ffn_type: generic + ffn_dim: 1536 + activation: gelu + normalization: rms_norm + bias: true + dropout: 0.0 + attn: + attn_type: causal + num_kv_heads: 12 + num_q_heads: 4 + normalization: rms_norm + bias: true + dropout: false + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + vocab_size: 4000 + + hidden_dim: 384 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: true + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: pints + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 80000 + eval_interval: 2000 + log_interval: 10 + checkpoint_interval: 20000 + eval_iters: 1000 + + eval: + - mcq_benchmarks: + - "winograd" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + num_samples: 1000 + + optimizer: + optimizer_name: adamW + lr: 6.0e-4 + min_lr: 6.0e-6 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.999 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 10000 + lr_decay_iters: + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: false + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/debugging/__init__.py b/debugging/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/debugging/debugging_models/__init__.py b/debugging/debugging_models/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/debugging/debugging_models/debugging_components/__init__.py b/debugging/debugging_models/debugging_components/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/debugging/debugging_models/debugging_components/debugging_layers/__init__.py b/debugging/debugging_models/debugging_components/debugging_layers/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/debugging/debugging_models/debugging_components/debugging_layers/test_attention.py b/debugging/debugging_models/debugging_components/debugging_layers/test_attention.py deleted file mode 100644 index 63c0d77e..00000000 --- a/debugging/debugging_models/debugging_components/debugging_layers/test_attention.py +++ /dev/null @@ -1,123 +0,0 @@ -""" -Pytest functions for the individual components of the different attention. -""" - -import pytest -import torch - -from models.components.layers.attention import build_attention - - -def test_normal_causal_attention(): - """ - Just test that it runs and - return the correct shape - """ - attention = build_attention( - hidden_dim=64, - context_window=16, - use_rope=True, - attn_cfg={ - "attn_type": "generic", - "num_heads": 8, - "bias": False, - "is_causal": True, - "group_size": 1, - }, - ) - x = torch.randn(2, 16, 64) - y = attention(x) - - assert y.shape == (2, 16, 64) - - -def test_rope_causal_attention(): - """ - Just test that it runs and - return the correct shape - """ - attention = build_attention( - hidden_dim=64, - context_window=16, - use_rope=True, - attn_cfg={ - "attn_type": "generic", - "num_heads": 8, - "bias": False, - "is_causal": True, - "group_size": 1, - }, - ) - x = torch.randn(2, 16, 64) - y = attention(x) - - assert y.shape == (2, 16, 64) - - -def test_normal_bidirectional_attention(): - """ - Just test that it runs and - return the correct shape - """ - attention = build_attention( - hidden_dim=64, - context_window=16, - use_rope=True, - attn_cfg={ - "attn_type": "generic", - "num_heads": 8, - "bias": False, - "is_causal": False, - "group_size": 1, - }, - ) - x = torch.randn(2, 16, 64) - y = attention(x) - - assert y.shape == (2, 16, 64) - - -def test_grouped_bidirectional_attention(): - """ - Just test that it runs and - return the correct shape - """ - attention = build_attention( - hidden_dim=64, - context_window=16, - use_rope=True, - attn_cfg={ - "attn_type": "generic", - "num_heads": 8, - "bias": False, - "is_causal": False, - "group_size": 2, - }, - ) - x = torch.randn(2, 16, 64) - y = attention(x) - - assert y.shape == (2, 16, 64) - - -def test_grouped_roped_attention(): - """ - Just test that it runs and - return the correct shape - """ - attention = build_attention( - hidden_dim=64, - context_window=16, - use_rope=True, - attn_cfg={ - "attn_type": "generic", - "num_heads": 8, - "bias": False, - "is_causal": True, - "group_size": 2, - }, - ) - x = torch.randn(2, 16, 64) - y = attention(x) - - assert y.shape == (2, 16, 64) diff --git a/debugging/debugging_models/debugging_components/debugging_layers/test_feedforward.py b/debugging/debugging_models/debugging_components/debugging_layers/test_feedforward.py deleted file mode 100644 index 721f9956..00000000 --- a/debugging/debugging_models/debugging_components/debugging_layers/test_feedforward.py +++ /dev/null @@ -1,45 +0,0 @@ -""" -Tests the different feedforward layers. -""" - -import pytest -import torch - -from models.components.layers.feedforward import build_ffn - - -def test_generic(): - """ - Simple test to check that the generic feedforward - """ - ffn = build_ffn( - hidden_dim=64, - ffn_cfg={ - "ffn_type": "generic", - "ffn_dim": 128, - "bias": False, - "activation": "relu", - }, - ) - x = torch.randn(2, 16, 64) - y = ffn(x) - - assert y.shape == (2, 16, 64) - - -def test_swiglue(): - """ - Simple test to check that the swiglue feedforward - """ - ffn = build_ffn( - hidden_dim=64, - ffn_cfg={ - "ffn_type": "swiglu", - "ffn_dim": 128, - "bias": False, - }, - ) - x = torch.randn(2, 16, 64) - y = ffn(x) - - assert y.shape == (2, 16, 64) diff --git a/debugging/debugging_models/debugging_components/debugging_layers/test_normalization.py b/debugging/debugging_models/debugging_components/debugging_layers/test_normalization.py deleted file mode 100644 index 77f8fe70..00000000 --- a/debugging/debugging_models/debugging_components/debugging_layers/test_normalization.py +++ /dev/null @@ -1,33 +0,0 @@ -""" -Pytest functions for the individual components of the different normalization layers. -""" - -# pylint: disable=unused-import -import pytest - -# pylint: enable=unused-import -import torch - -from models.components.layers.normalization import build_normalization - - -def test_rms_norm(): - """Just test that it runs...""" - normalization = build_normalization( - normalization_name="rms_norm", dim=64, bias=False - ) - x = torch.rand(2, 10, 64) - out = normalization(x) - - assert out.shape == (2, 10, 64) - - -def test_layer_norm(): - """Just test that it runs...""" - normalization = build_normalization( - normalization_name="layer_norm", dim=64, bias=False - ) - x = torch.rand(2, 10, 64) - out = normalization(x) - - assert out.shape == (2, 10, 64) diff --git a/debugging/debugging_models/debugging_components/debugging_layers/test_transformer_block.py b/debugging/debugging_models/debugging_components/debugging_layers/test_transformer_block.py deleted file mode 100644 index 273d7225..00000000 --- a/debugging/debugging_models/debugging_components/debugging_layers/test_transformer_block.py +++ /dev/null @@ -1,38 +0,0 @@ -""" -Pytest for the full transformer blocks. -""" - -import pytest -import torch - -from models.components.layers.transformer_blocks import GenericTransformerBlock - - -def test_generic_transformer_block(): - """ - Simple test to check that the generic transformer block - """ - block = GenericTransformerBlock( - hidden_dim=64, - context_window=16, - use_rope=True, - ffn_cfg={ - "ffn_type": "generic", - "ffn_dim": 128, - "bias": False, - "activation": "relu", - "normalization": "layer_norm", - }, - attn_cfg={ - "attn_type": "generic", - "num_heads": 8, - "bias": False, - "is_causal": True, - "group_size": 1, - "normalization": "rms_norm", - }, - ) - x = torch.randn(2, 16, 64) - y = block(x) - - assert y.shape == (2, 16, 64) diff --git a/debugging/debugging_models/debugging_components/debugging_tokenizers/__init__.py b/debugging/debugging_models/debugging_components/debugging_tokenizers/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/debugging/debugging_models/debugging_components/debugging_tokenizers/test_bpe_tokenizer.py b/debugging/debugging_models/debugging_components/debugging_tokenizers/test_bpe_tokenizer.py deleted file mode 100644 index 1f169adc..00000000 --- a/debugging/debugging_models/debugging_components/debugging_tokenizers/test_bpe_tokenizer.py +++ /dev/null @@ -1,32 +0,0 @@ -""" -For the BPE tokenizer, test training, and inference. -""" - -# import os - -# import pytest -# import torch - -# from models.components.tokenizers import build_tokenizer -# from models.components.tokenizers.utils import get_tokenizer_path - -# def test_train_bpe_tokenizer(): -# """ -# Train the BPE tokenizer. -# """ -# tokenizer = build_tokenizer( -# tokenizer_type="bpe", vocab_size=259, dataset_name="simple_en_wiki" -# ) - -# text = "Hello, world!" - -# tokens = tokenizer.encode(text) -# assert tokenizer.decode(tokens) == text - -# # delete the trained tokenizer file - -# os.remove( -# get_tokenizer_path( -# tokenizer_type="bpe", vocab_size=259, dataset_name="simple_en_wiki" -# )[1] -# ) diff --git a/debugging/debugging_models/debugging_components/debugging_tokenizers/test_gpt2_tokenizer.py b/debugging/debugging_models/debugging_components/debugging_tokenizers/test_gpt2_tokenizer.py deleted file mode 100644 index bd483bac..00000000 --- a/debugging/debugging_models/debugging_components/debugging_tokenizers/test_gpt2_tokenizer.py +++ /dev/null @@ -1,25 +0,0 @@ -""" -Pytest for the GPT2 tokenizer. -""" - -import pytest -import torch - -from models.components.tokenizers import build_tokenizer - - -def test_gpt2_tokenizer(): - """ - Build the GPT2 tokenizer and encode decode text. - """ - tokenizer = build_tokenizer( - tokenizer_type="gpt2", vocab_size=50257, dataset_name=None - ) - - text = "Hello, world!" - tokens = tokenizer.encode(text) - assert tokenizer.decode(tokens) == text - - text = "This is a test." - tokens = tokenizer.encode(text) - assert tokenizer.decode(tokens) == text diff --git a/debugging/debugging_models/debugging_components/test_positional_encoding.py b/debugging/debugging_models/debugging_components/test_positional_encoding.py deleted file mode 100644 index 919ed4d1..00000000 --- a/debugging/debugging_models/debugging_components/test_positional_encoding.py +++ /dev/null @@ -1,27 +0,0 @@ -""" -Test the positional encoding -""" - -import pytest -import torch - -from models.components.positional_encoding import build_positional_encodings - - -def test_learned_positional_encodings(): - """ - Test that the learned positional encodings - return the correct shape. - """ - pos_encodings = build_positional_encodings( - model_cfg={ - "positional_encoding_type": "learned", - "hidden_dim": 64, - "context_window": 16, - } - ) - - x = torch.randn(2, 16, 64) - y = pos_encodings(x) - - assert y.shape == (2, 16, 64) diff --git a/debugging/debugging_models/test_core_models.py b/debugging/debugging_models/test_core_models.py deleted file mode 100644 index 29e00600..00000000 --- a/debugging/debugging_models/test_core_models.py +++ /dev/null @@ -1,47 +0,0 @@ -""" -Pytest for core models. -""" - -import pytest -import torch - -from models.build_models import build_core_model - - -def test_generic_core_model(): - """ - Test the generic core model. - """ - model = build_core_model( - model_cfg={ - "hidden_dim": 64, - "context_window": 64, - "vocab_size": 50257, - "positional_encoding_type": "rope", - "core_model": { - "core_model_type": "generic", - "norm_bias": True, - "ffn": { - "ffn_type": "generic", - "ffn_dim": 128, - "activation": "relu", - "normalization": "layer_norm", - "bias": True, - }, - "attn": { - "attn_type": "generic", - "num_heads": 8, - "group_size": 8, - "bias": True, - "is_causal": False, - "normalization": "rms_norm", - }, - "num_layers": 2, - }, - } - ) - - x = torch.randn(2, 16, 64) - y = model(x) - - assert y.shape == (2, 16, 64) diff --git a/debugging/debugging_trainers/test_loss.py b/debugging/debugging_trainers/test_loss.py deleted file mode 100644 index 13197fbd..00000000 --- a/debugging/debugging_trainers/test_loss.py +++ /dev/null @@ -1,14 +0,0 @@ -"""Tests for trainers/loss_fn.py""" -import pytest -import torch - -from trainers.loss_fn import compute_perplexity - -def test_compute_perplexity(): - input_batch = torch.randn(2, 16, 64) - target_batch = torch.randint(0, 63, (2, 16)) - char_lengths = [16, 16] - mask = torch.ones_like(target_batch).float() - mask[0, 8:] = 0 - perp = compute_perplexity(input_batch, target_batch, char_lengths, mask=mask) - assert perp > 0 diff --git a/debugging/test_evals.py b/debugging/test_evals.py deleted file mode 100644 index 46566db9..00000000 --- a/debugging/test_evals.py +++ /dev/null @@ -1,63 +0,0 @@ -# """ -# Pytest for debugging the llm eval code -# And verifying correctness of path probs. -# """ -# from dataclasses import dataclass - -# import pytest -# import torch - -# from models.experimental import hugging_face -# from models import model_shell -# from evals.eval_wrapper import LMEvalWrappedModel -# from lm_eval.models import huggingface - -# @dataclass -# class RequestModel: -# """Class for testing the LLM model.""" -# args: tuple[str, str] - - -# def test_lm_eval_wrapper(): -# """ -# Test the generic core model. -# """ -# # if torch.cuda.is_available(): -# # device = torch.device("cuda") -# modelpath = "microsoft/Phi-3-mini-4k-instruct" -# hf_model = huggingface.HFLM( -# pretrained=modelpath, -# trust_remote_code=True, -# attn_implementation="flash_attention_2", -# dtype=torch.float16, -# max_length=512 -# ) -# model_config = { -# "model_string": modelpath -# } -# shell = model_shell.ModelShell( -# hugging_face.HFEmbedder(model_cfg=model_config), -# hugging_face.HFTransformerCore(model_cfg=model_config), -# hugging_face.HFLMHead(model_cfg=model_config) -# ) -# shell.to(torch.device("cuda")) -# shell.eval() -# model = LMEvalWrappedModel(shell) -# requests = [RequestModel(args=("context"*512, "target"*512))] -# results = model.loglikelihood(requests) -# results_target = hf_model.loglikelihood(requests) -# assert abs(results[0][0] - results_target[0][0]) < 1e-2 - -# context_str = "The capital of France is" -# target_str = "Paris, the city of light" -# requests = [RequestModel(args=("oh", "Paris, you beast of a city"))] -# results = model.loglikelihood(requests) -# results_target = hf_model.loglikelihood(requests) -# assert abs(results[0][0] - results_target[0][0]) < 1e-2 - -# requests = [ -# RequestModel(args=(context_str, target_str)) -# ] -# results = model.loglikelihood(requests) -# results_target = hf_model.loglikelihood(requests) -# assert abs(results[0][0] - results_target[0][0]) < 1e-2 diff --git a/debugging/test_mcqs.py b/debugging/test_mcqs.py deleted file mode 100644 index 741ec054..00000000 --- a/debugging/test_mcqs.py +++ /dev/null @@ -1,24 +0,0 @@ -"""Tests for each of the benchmarks""" - -# pylint: disable=unused-import -import pytest - -from evals.mcqs.load_benchmarks import load_benchmark - -# pylint: enable=unused-import - - -def test_load_benchmark(): - """loads in the benchmarks to check they work""" - benchmark_names = ["arc", "winograd", "mmlu", "hellaswag", "blimp"] - for benchmark_name in benchmark_names: - for split in ["test", "validation"]: - benchmark = load_benchmark(benchmark_name, split) - assert benchmark is not None - for item in benchmark: - assert len(item) == 3 - assert isinstance(item[0], str) - assert isinstance(item[1], str) - assert isinstance(item[2], list) - assert all(isinstance(option, str) for option in item[2]) - break diff --git a/evals/__init__.py b/evals/__init__.py index e69de29b..8b6e17ec 100644 --- a/evals/__init__.py +++ b/evals/__init__.py @@ -0,0 +1,6 @@ +""" +For easier imports +""" + +from evals.mcqs.mcq_evaluator import MCQEvaluator +from evals.text_modeling.text_modeling_evaluator import TextModelingEvaluator \ No newline at end of file diff --git a/evals/finetuning/__init__.py b/evals/finetuning/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/evals/finetuning/glue.py b/evals/finetuning/glue.py deleted file mode 100644 index 9e4e16e1..00000000 --- a/evals/finetuning/glue.py +++ /dev/null @@ -1,142 +0,0 @@ -"""GLUE eval?""" -from datasets import load_dataset -from sklearn.linear_model import LogisticRegression, Ridge -from sklearn.metrics import accuracy_score, f1_score, matthews_corrcoef -from scipy.stats import pearsonr, spearmanr - -import torch -import numpy as np - -from models.model_shell import ModelShell -from evals.evaluator_interface import EvaluationInterface - -GLUE_SUBSETS = [ - "cola", - # "mnli", - "mrpc", - # "qnli", - # "qqp", - "rte", - # "sst2", - "stsb", - "wnli", -] -GLUE_SENTENCE_MAPPINGS = { - "cola": ["sentence", 2], - "mnli": ["premise", "hypothesis", 3], - "mrpc": ["sentence1", "sentence2", 2], - "qnli": ["question", "sentence", 2], - "qqp": ["question1", "question2", 2], - "rte": ["sentence1", "sentence2", 2], - "sst2": ["sentence", 2], - "stsb": ["sentence1", "sentence2", 1], - "wnli": ["sentence1", "sentence2", 2], -} -GLUE_METRIC = { - "cola": ["matthews_correlation"], - "sst2": ["accuracy"], - "mrpc": ["accuracy", "f1"], - "stsb": ["pearson", "spearmanr"], - "qqp": ["accuracy", "f1"], - "mnli": ["accuracy"], - "qnli": ["accuracy"], - "rte": ["accuracy"], - "wnli": ["accuracy"], -} - -METRIC_MAP = { - "accuracy": accuracy_score, - "f1": f1_score, - "pearson": pearsonr, - "spearmanr": spearmanr, - "matthews_correlation": lambda a, b: matthews_corrcoef(b, a), - # matthews_corrcoef expects the labels to be the second argument - # for some reason -} - - -class FinetuningEvaluator(EvaluationInterface): - """Evaluator class for training and evaluating models. - Currently just for GLUE finetuning.""" - - def __init__(self, model): - super().__init__(model) - self.model: ModelShell = model - self.train_datasets = {} - self.eval_datasets = {} - self.load_dataset() - - def load_dataset(self): - """Load the dataset for finetuning the model""" - for subset in GLUE_SUBSETS: - dataset = load_dataset("glue", subset) - self.train_datasets[subset] = dataset["train"] - validation_str = "validation_matched" if subset == "mnli" else "validation" - self.eval_datasets[subset] = dataset[validation_str] - - def evaluate(self, *args, **kwargs): - """Evaluate the base model on the dataset""" - results = {} - for subset in GLUE_SUBSETS: - model = self.train(subset) - results[subset] = self.evaluate_model(model, subset) - return results - - def train(self, subset): - """Train SKLearn model on the dataset""" - train_features, train_labels = self.extract_subset(subset, "train") - if subset == "stsb": - model = Ridge() - else: - model = LogisticRegression(max_iter=1000) - model.fit(train_features, train_labels) - return model - - def evaluate_model(self, model, subset): - """Evaluate sklearn model""" - results = {} - eval_features, eval_labels = self.extract_subset(subset, "validation") - - predictions = model.predict(eval_features) - for metric in GLUE_METRIC[subset]: - metric_func = METRIC_MAP[metric] - if metric == "pearson": - metric_val = metric_func(eval_labels, predictions)[0] - elif metric == "spearmanr": - metric_val = metric_func(eval_labels, predictions)[1] - else: - metric_val = metric_func(eval_labels, predictions) - results[metric] = metric_val - return results - - def extract_subset(self, subset, split): - """Extract all features and labels from the dataset""" - subset_features = [] - subset_labels = [] - - dataset = self.train_datasets if split == "train" else self.eval_datasets - - for sample in dataset[subset]: - sample_struct = GLUE_SENTENCE_MAPPINGS[subset] - features, label = self.extract_features( - self.embedding_func, sample_struct, sample - ) - features = features.cpu().numpy() - subset_features.append(features) - subset_labels.append(label) - return subset_features, subset_labels - - @torch.no_grad() - def embedding_func(self, input_str): - """Embed the input string""" - init_embeds = self.model.embedding_model.inference(input_str) - embeds = self.model.core_model(init_embeds) - embeds = embeds.mean(dim=1) # mean pooling - return embeds[0] - - def extract_features(self, embedding_func, sample_struct, sample): - """Extract features from a sample""" - strs = [sample[sample_struct[i]] for i in range(len(sample_struct) - 1)] - embeddings = embedding_func("\n".join(strs)) - label = sample["label"] - return embeddings, label \ No newline at end of file diff --git a/evals/finetuning/qa.py b/evals/finetuning/qa.py deleted file mode 100644 index 9b73ad4d..00000000 --- a/evals/finetuning/qa.py +++ /dev/null @@ -1,98 +0,0 @@ -"""Training a QA model with finetuning on """ - -import random - -import numpy as np -import torch -from sklearn.linear_model import LogisticRegression -from sklearn.metrics import accuracy_score - -from evals.evaluator_interface import EvaluationInterface -from evals.mcqs import load_benchmarks -from models.model_shell import ModelShell - - -def form_prompt(question, all_options): - """Form a prompt for the model""" - option_list = "\n".join( - [f"{i+1}. {option}" for i, option in enumerate(all_options)] - ) - return f"{question}\n{option_list}\nAnswer: " - - -class FinetuningQA(EvaluationInterface): - """Evaluator class for training and evaluating models. - Currently just for GLUE finetuning.""" - - def __init__(self, model, benchmarks, max_train_samples=1000, max_eval_samples=1000): - super().__init__(model) - self.model: ModelShell = model - self.train_datasets = {} - self.eval_datasets = {} - self.max_train_samples = max_train_samples - self.max_eval_samples = max_eval_samples - self.load_dataset(benchmarks) - - def load_dataset(self, qa_benchmarks): - """Load the dataset""" - for benchmark in qa_benchmarks: - train_dataset = load_benchmarks.load_benchmark(benchmark, split="train") - eval_dataset = load_benchmarks.load_benchmark(benchmark, split="validation") - self.train_datasets[benchmark] = train_dataset - self.eval_datasets[benchmark] = eval_dataset - - def evaluate(self): - """Evaluate the base model on the dataset""" - results = {} - for benchmark in self.train_datasets: - model = self.train(benchmark) - results[benchmark] = self.evaluate_model(model, benchmark) - return results - - def train(self, benchmark): - """Train SKLearn model on the dataset""" - train_features, train_labels = self.get_features_labels(benchmark, "train", self.max_train_samples) - model = LogisticRegression(max_iter=1000) - model.fit(train_features, train_labels) - return model - - def evaluate_model(self, model, benchmark): - """Evaluate sklearn model""" - print(f"Evaluating Benchmark: {benchmark}") - eval_features, eval_labels = self.get_features_labels(benchmark, "validation", self.max_eval_samples) - predictions = model.predict(eval_features) - accuracy = accuracy_score(eval_labels, predictions) - return accuracy - - def get_features_labels(self, benchmark, split, max_samples): - """Extract all features and labels from the dataset""" - benchmark_features = [] - benchmark_labels = [] - - dataset = self.train_datasets if split == "train" else self.eval_datasets - - for i, sample in enumerate(dataset[benchmark]): - if i >= max_samples: - break - features, label = self.extract_features(self.embedding_func, *sample) - features = features.cpu().numpy() - benchmark_features.append(features) - benchmark_labels.append(label) - return benchmark_features, benchmark_labels - - @torch.no_grad() - def embedding_func(self, input_str): - """Embed the input string""" - init_embeds = self.model.embedding_model.inference(input_str) - embeds = self.model.core_model(init_embeds)[0] - embeds = embeds[-1] # Take last one - return embeds - - def extract_features(self, embedding_func, question, answer, other_options): - """Extract features from a sample""" - placement = random.randint(0, len(other_options)) - options = other_options[:placement] + [answer] + other_options[placement:] - prompt = form_prompt(question, options) - embeddings = embedding_func(prompt) - label = placement - return embeddings, label diff --git a/evals/load_evaluators.py b/evals/load_evaluators.py index 8fc652c4..e0d8eb0b 100644 --- a/evals/load_evaluators.py +++ b/evals/load_evaluators.py @@ -13,9 +13,6 @@ EVALUATORS_DICT = { "mcq": MCQEvaluator, - "glue": FinetuningEvaluator, - "ft_qa": FinetuningQA, - "prog": ProgressionEvaluator, "text_modeling": TextModelingEvaluator, } diff --git a/evals/mcqs/benchmarks/__init__.py b/evals/mcqs/benchmarks/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/evals/mcqs/benchmarks/arc.py b/evals/mcqs/benchmarks/arc.py deleted file mode 100644 index fa9d9811..00000000 --- a/evals/mcqs/benchmarks/arc.py +++ /dev/null @@ -1,37 +0,0 @@ -"""ARC Benchmark: https://arxiv.org/abs/1803.05457""" - -import random - -from datasets import load_dataset - - -def _split_options(options, labels, answer_key): - """Split the options according to whether label matches answer key""" - true_idx = ... # assume there is only one correct option - for idx, label in enumerate(labels): - if label == answer_key: - true_idx = idx - return options[true_idx], options[:true_idx] + options[true_idx + 1 :] - - -def load_arc(split="test"): - """Load and process the benchmark - - Returns a geneator of: - (prompt, ground_truth, fake_options)""" - base_dataset = load_dataset("allenai/ai2_arc", "ARC-Easy")[split] - index = list(range(len(base_dataset))) - random.shuffle(index) - - for i in index: - sample = base_dataset[i] - ground_truth, fake_options = _split_options( - sample["choices"]["text"], - sample["choices"]["label"], - sample["answerKey"], - ) - yield ( - sample["question"], - ground_truth, - fake_options, - ) diff --git a/evals/mcqs/benchmarks/blimp.py b/evals/mcqs/benchmarks/blimp.py deleted file mode 100644 index c12b737b..00000000 --- a/evals/mcqs/benchmarks/blimp.py +++ /dev/null @@ -1,49 +0,0 @@ -"""Blimp dataset https://aclanthology.org/2020.tacl-1.25/""" - -import random - -from datasets import load_dataset - -# OPTIONS = ['adjunct_island', 'anaphor_gender_agreement', 'anaphor_number_agreement', -# 'animate_subject_passive', 'animate_subject_trans', 'causative', -# 'complex_NP_island', 'coordinate_structure_constraint_complex_left_branch', -# 'coordinate_structure_constraint_object_extraction', 'determiner_noun_agreement_1', -# 'determiner_noun_agreement_2', 'determiner_noun_agreement_irregular_1', -# 'determiner_noun_agreement_irregular_2', 'determiner_noun_agreement_with_adj_2', -# 'determiner_noun_agreement_with_adj_irregular_1', 'determiner_noun_agreement_with_adj_irregular_2', -# 'determiner_noun_agreement_with_adjective_1', 'distractor_agreement_relational_noun', -# 'distractor_agreement_relative_clause', 'drop_argument', 'ellipsis_n_bar_1', -# 'ellipsis_n_bar_2', 'existential_there_object_raising', 'existential_there_quantifiers_1', -# 'existential_there_quantifiers_2', 'existential_there_subject_raising', -# 'expletive_it_object_raising', 'inchoative', 'intransitive', 'irregular_past_participle_adjectives', -# 'irregular_past_participle_verbs', 'irregular_plural_subject_verb_agreement_1', -# 'irregular_plural_subject_verb_agreement_2', 'left_branch_island_echo_question', -# 'left_branch_island_simple_question', 'matrix_question_npi_licensor_present', 'npi_present_1', -# 'npi_present_2', 'only_npi_licensor_present', 'only_npi_scope', 'passive_1', 'passive_2', -# 'principle_A_c_command', 'principle_A_case_1', 'principle_A_case_2', 'principle_A_domain_1', -# 'principle_A_domain_2', 'principle_A_domain_3', 'principle_A_reconstruction', -# 'regular_plural_subject_verb_agreement_1', 'regular_plural_subject_verb_agreement_2', -# 'sentential_negation_npi_licensor_present', 'sentential_negation_npi_scope', -# 'sentential_subject_island', 'superlative_quantifiers_1', 'superlative_quantifiers_2', -# 'tough_vs_raising_1', 'tough_vs_raising_2', 'transitive', 'wh_island', 'wh_questions_object_gap', -# 'wh_questions_subject_gap', 'wh_questions_subject_gap_long_distance', 'wh_vs_that_no_gap', -# 'wh_vs_that_no_gap_long_distance', 'wh_vs_that_with_gap', 'wh_vs_that_with_gap_long_distance'] - -# TOTAL SIZE OF 67K, need to split into train, test, val - -def load_blimp(split="test"): - """Load and process the benchmark""" - base_dataset = load_dataset("WillHeld/blimp")["train"] - index = list(range(len(base_dataset))) - random.shuffle(index) - ds_size = len(index) - INDEX_MAP = { - "train": (0, int(0.1 * ds_size)), - "test": (int(0.1 * ds_size), int(0.6 * ds_size)), - "validation": (int(0.6 * ds_size), ds_size), - } - for i in index: - sample = base_dataset[i] - if i not in range(*INDEX_MAP[split]): - continue - yield ("", sample["sentence_good"], [sample["sentence_bad"]]) diff --git a/evals/mcqs/benchmarks/hellaswag.py b/evals/mcqs/benchmarks/hellaswag.py deleted file mode 100644 index df48cc0a..00000000 --- a/evals/mcqs/benchmarks/hellaswag.py +++ /dev/null @@ -1,30 +0,0 @@ -"""Hella Swag Benchmark Code: https://arxiv.org/pdf/1905.07830.pdf""" - -import random - -from datasets import load_dataset - - -def load_hellaswag(split="test"): - """Load and process the benchmark""" - split_map = { - "test": "validation", - "train": "train", - "validation": "train", - } - split = split_map[split] - base_dataset = load_dataset("Rowan/hellaswag")[split] - index = list(range(len(base_dataset))) - if split == "train": - index = index[len(index)//2:] - elif split == "validation": - index = index[:len(index)//2] - random.shuffle(index) - for i in index: - sample = base_dataset[i] - ground_truth = sample["endings"][int(sample["label"])] - yield ( - sample["ctx"], - ground_truth, - [ending for ending in sample["endings"] if ending != ground_truth], - ) diff --git a/evals/mcqs/benchmarks/mmlu.py b/evals/mcqs/benchmarks/mmlu.py deleted file mode 100644 index b3824f13..00000000 --- a/evals/mcqs/benchmarks/mmlu.py +++ /dev/null @@ -1,37 +0,0 @@ -"""MMLU Benchmark: https://arxiv.org/abs/2009.03300""" - -import random - -from datasets import load_dataset - - -def option_prompt(choice, choices): - prompt = f"Options: {';'.join(choices)}\n Answer: {choice}" - return prompt - - -def load_mmlu(split="test"): - """Load and process the benchmark - - Returns a geneator of: - (prompt, ground_truth, fake_options)""" - base_dataset = load_dataset("cais/mmlu", "all") - if split == "train": - split = "dev" - index = list(range(len(base_dataset[split]))) - random.shuffle(index) - for i in index: - sample = base_dataset[split][i] - ground_truth = sample["choices"][sample["answer"]] - ground_truth = option_prompt(ground_truth, sample["choices"]) - fake_options = [ - choice for choice in sample["choices"] if choice != ground_truth - ] - fake_options = [ - option_prompt(choice, sample["choices"]) for choice in fake_options - ] - yield ( - sample["question"], - ground_truth, - fake_options, - ) diff --git a/evals/mcqs/benchmarks/stories_progression.py b/evals/mcqs/benchmarks/stories_progression.py deleted file mode 100644 index 3f6df773..00000000 --- a/evals/mcqs/benchmarks/stories_progression.py +++ /dev/null @@ -1,82 +0,0 @@ -"""The tinystories training progression dataset""" - -import random -from evals import evaluator_interface -from evals import eval_wrapper -from datasets import load_dataset -from evals.metrics import MCQ_METRIC_DICT -import torch - -TASKS = [ - "byte_shuffle", - "word_shuffle", - "ngram_shuffle_3", - "ngram_shuffle_5", - "ngram_shuffle_7", - "ngram_shuffle_12", - "random_byte_deletion", - "random_word_deletion", - "random_byte_insertion", - "random_word_insertion", - "random_byte_substitution", - "random_word_substitution", - "parse_tree_shuffle" -] - - -def option_prompt(choice, choices): - prompt = f"Options: {';'.join(choices)}\n Answer: {choice}" - return prompt - - -def load_stories_progression(split="test"): - """Load and process the benchmark - - Returns a geneator of: - (prompt, ground_truth, fake_options)""" - base_dataset = load_dataset("LeonGuertler/TinyStories_stlm_training_progress") - base_dataset = base_dataset["train"] - index = list(range(len(base_dataset))) - assert split in ["validation", "test"] - if split == "validation": - index = index[: int(0.5 * len(index))] - elif split == "test": - index = index[int(0.5 * len(index)) :] - random.shuffle(index) - for i in index: - sample = base_dataset[i] - prompt = sample["first_n_words"] - actual_continuation = sample["actual_continuation"] - options = { - task: sample[task] for task in TASKS - } - yield prompt, actual_continuation, options - -class ProgressionEvaluator(evaluator_interface.EvaluationInterface): - """Evaluator for the stories progression set""" - - def __init__(self, model): - super().__init__(model) - self.model_wrapper = eval_wrapper.EvalWrapper(model) - - def evaluate(self, split="test"): - """Evaluate the model on the stories progression dataset""" - dataset = load_stories_progression(split) - likelihoods = [] - results = {} - for prompt, ground_truth, options in dataset: - all_options = list(options.items()) - options = [ground_truth] + [option for _, option in all_options] # (B+1)*T - prompts = [prompt for _ in options] - likelihoods.append(self.model_wrapper.loglikelihood(prompts, options)) - likelihoods = torch.tensor(likelihoods) # shape B * T - gt = likelihoods[:,0] # shape B - for i, (task) in enumerate(TASKS): - task_results = {} - for metric_name, metric_func in MCQ_METRIC_DICT.items(): - metric_input = torch.stack([gt, likelihoods[:,i + 1]], dim=-1) - # shape B x 2 - task_results[metric_name]=(metric_func(metric_input)) - results[task] = task_results - return results - diff --git a/evals/mcqs/benchmarks/winogrande.py b/evals/mcqs/benchmarks/winogrande.py deleted file mode 100644 index e776c405..00000000 --- a/evals/mcqs/benchmarks/winogrande.py +++ /dev/null @@ -1,33 +0,0 @@ -"""Winogrande benchmark""" - -from datasets import load_dataset - -SPLIT_REMAP = {"test": "validation", "validation": "train", "train": "train"} -INDEX_MAP = {"1": 0, "2": 1, "3": 2, "4": 3, "A": 0, "B": 1, "C": 2, "D": 3, "E": 4} -import random - - -def load_winogrande(split="test"): - """Load and process the benchmark""" - base_dataset = load_dataset( - "allenai/winogrande", "winogrande_xs", trust_remote_code=True - )[SPLIT_REMAP[split]] - index = list(range(len(base_dataset))) - if split == "train": - index = index[: len(index) // 2] - elif split == "validation": - index = index[len(index) // 2 :] - random.shuffle(index) - for i in index: - sample = base_dataset[i] - sentence = sample["sentence"] - options = [sample["option1"], sample["option2"]] - ground_truth = options[INDEX_MAP[sample["answer"]]] - options.remove(ground_truth) - ground_truth = sentence.replace("_", ground_truth) - options = [sentence.replace("_", option) for option in options] - yield ( - "", - ground_truth, - options, - ) diff --git a/evals/mcqs/load_benchmarks.py b/evals/mcqs/load_benchmarks.py index 1e8f1a17..3ed1ed06 100644 --- a/evals/mcqs/load_benchmarks.py +++ b/evals/mcqs/load_benchmarks.py @@ -1,24 +1,317 @@ """ Load a bechmark loader, given the benchmark name. """ +import numpy as np +from datasets import load_dataset + +def get_idx_list(dataset_length, num_samples): + """ + Given the dataset length and the number of samples, + return a list of indices to sample from the dataset + """ + return np.random.choice( + dataset_length, + dataset_length if num_samples is None else min(num_samples, dataset_length), + replace=False + ) + +def load_arc_easy(version, num_samples=None): + """ + Load ARC easy eval set + (https://huggingface.co/datasets/allenai/ai2_arc/viewer/ARC-Easy) + """ + if version == "original": + dataset = load_dataset("ai2_arc", "ARC-Easy")["test"] + elif version == "stlm_eval": + raise NotImplementedError("STLM eval version not implemented yet") + + index_list = get_idx_list(len(dataset), num_samples) + for i in index_list: + sample = dataset[i] + correct_idx = sample["choices"]["text"].find(sample["answerKey"]) + yield ( + sample["question"], + sample["choices"]["text"][correct_idx], + [ + sample["choices"]["text"][i] + for i in range(len(sample["choices"]["text"])) + if i != correct_idx + ], + ) + +def load_blimp(num_samples=None): + """ + Load BLIMP eval set + https://huggingface.co/datasets/WillHeld/blimp + """ + dataset = load_dataset("WillHeld/blimp")["train"] + index_list = get_idx_list(len(dataset), num_samples) + for i in index_list: + sample = dataset[i] + yield ( + "", + sample["sentence_good"], + [sample["sentence_bad"]], + ) + + +def load_hellaswag(version, num_samples=None): + """ + Load hellaswag eval set + https://huggingface.co/datasets/Rowan/hellaswag + """ + if version == "original": + dataset = load_dataset("Rowan/hellaswag")["validation"] # standard to use val + elif version == "stlm_eval": + raise NotImplementedError("STLM eval version not implemented yet") + + index_list = get_idx_list(len(dataset), num_samples) + for i in index_list: + sample = dataset[i] + ground_truth_idx = int(sample["label"]) + yield ( + sample["ctx"], + sample["endings"][ground_truth_idx], + [ending for i,ending in enumerate(sample["endings"]) if i != ground_truth_idx], + ) + + +def load_mmlu(num_samples=None): + """ + Load MMLU eval set + https://huggingface.co/datasets/cais/mmlu + """ + dataset = load_dataset("cais/mmlu", "all")["test"] + index_list = get_idx_list(len(dataset), num_samples) + for i in index_list: + sample = dataset[i] + correct_idx = sample["answer"] + yield ( + sample["question"], + f" Answer: {sample['choices'][correct_idx]}", + [f" Answer: {choice}" for i, choice in enumerate(sample["choices"]) if i != correct_idx], + ) + +def load_winogrande(version, num_samples=None): + """ + Load Winogrande eval set + https://huggingface.co/datasets/allenai/winogrande + """ + if version == "original": + dataset = load_dataset( + "allenai/winogrande", + "winogrande_xs", + trust_remote_code=True + )["validation"] + elif version == "stlm_eval": + raise NotImplementedError("STLM eval version not implemented yet") + + index_list = get_idx_list(len(dataset), num_samples) + for i in index_list: + sample = dataset[i] + correct_opt_num = sample["answer"] + yield ( + "", + sample["sentence"].replace("_", sample[f"option{correct_opt_num}"]), + sample["sentence"].replace("_", sample[f"option{1 if correct_opt_num == 2 else 2}"]) + ) + +def load_truthful_qa_m2(version, num_samples=None): + """ + Load the truthful QA eval set + https://huggingface.co/datasets/TruthfulQA + """ + if version == "original": + dataset = load_dataset("truthful_qa", "multiple_choice")["validation"] + elif version == "stlm_eval": + raise NotImplementedError("STLM eval version not implemented yet") + + index_list = get_idx_list(len(dataset), num_samples) + for i in index_list: + sample = dataset[i] + yield ( + sample["question"], + sample["correct_answer"], + sample["incorrect_answers"] + ) + +def load_piqa(num_samples=None): + """ + Load the PIQA eval set + https://arxiv.org/abs/1911.11641 + https://huggingface.co/datasets/ybisk/piqa + """ + dataset = load_dataset("ybisk/piqa")["validation"] + index_list = get_idx_list(len(dataset), num_samples) + for i in index_list: + sample = dataset[i] + yield ( + sample["goal"], + sample[f"sol{sample['label']+1}"], + sample[f"sol{1 if sample['label'] == 2 else 2}"] + ) + +def load_boolq(num_samples=None): + """ + Load the BoolQ eval set + https://arxiv.org/abs/1905.10044 + https://huggingface.co/datasets/google/boolq + """ + dataset = load_dataset("google/boolq")["validation"] + index_list = get_idx_list(len(dataset), num_samples) + for i in index_list: + sample = dataset[i] + yield ( + sample["question"], + "yes" if sample["label"] else "no", + "no" if sample["label"] else "yes" + ) + +def load_race(version, num_samples=None): + """ + Load the RACE eval set + https://aclanthology.org/D17-1082/ + https://huggingface.co/datasets/ehovy/race + """ + ANS_TO_IDX = {"A": 0, "B": 1, "C": 2, "D": 3} + dataset = load_dataset( + "ehovy/race", + version # middle or high school + )["validation"] + index_list = get_idx_list(len(dataset), num_samples) + for i in index_list: + sample = dataset[i] + correct_idx = ANS_TO_IDX[sample["answer"]] + yield ( + sample["article"] + f"Question: {sample['question']}", + f"Answer: {sample['options'][correct_idx]}", + sample["options"][correct_idx], + [option for i, option in enumerate(sample["options"]) if i != correct_idx] + ) + +def load_openbook_qa(version, num_samples=None): + """ + Load the OpenbookQA eval set + https://huggingface.co/datasets/allenai/openbookqa + """ + ANS_TO_IDX = {"A": 0, "B": 1, "C": 2, "D": 3} + dataset = load_dataset("allenqi/openbookqa")["validation"] + index_list = get_idx_list(len(dataset), num_samples) + for i in index_list: + sample = dataset[i] + correct_idx = ANS_TO_IDX[sample["answerKey"]] + yield ( + sample["question_stem"] if version=="closed" else f"{sample['fact1']} {sample['question']}", + sample["choices"]["text"][correct_idx], + [choice for i, choice in enumerate(sample["choices"]["text"]) if i != correct_idx] + ) + +def load_copa(num_samples=None): + """ + Load the Copa eval set (balanced) + https://aclanthology.org/S12-1052/ + https://huggingface.co/datasets/pkavumba/balanced-copa + """ + dataset = load_dataset("pkavumba/balanced-copa")["train"] + index_list = get_idx_list(len(dataset), num_samples) + for i in index_list: + sample = dataset[i] + correct_idx = sample["label"] + incorrect_idx = 1 if correct_idx == 0 else 0 + yield ( + sample["premise"], + sample[f"choice{correct_idx+1}"], + sample[f"choice{incorrect_idx+1}"], + ) + + +def load_commonsense_qa(num_samples=None): + """ + Load the Commonsense QA eval set + https://aclanthology.org/N19-1421/ + https://huggingface.co/datasets/tau/commonsense_qa + """ + ANS_TO_IDX = {"A": 0, "B": 1, "C": 2, "D": 3, "E": 4, "F": 5, "G": 6, "H": 7} + + dataset = load_dataset("tau/commonsense_qa")["validation"] + index_list = get_idx_list(len(dataset), num_samples) + for i in index_list: + sample = dataset[i] + correct_idx = sample["answerKey"] + yield ( + sample["question"], + f"Answer: {sample['choices']['text'][correct_idx]}", + [f"Answer: {choice}" for i, choice in enumerate(sample["choices"]["text"]) if i != correct_idx] + ) + -from evals.mcqs.benchmarks.arc import load_arc -from evals.mcqs.benchmarks.blimp import load_blimp -from evals.mcqs.benchmarks.hellaswag import load_hellaswag -from evals.mcqs.benchmarks.mmlu import load_mmlu -from evals.mcqs.benchmarks.winogrande import load_winogrande EVALS_DICT = { - "arc": load_arc, - "winograd": load_winogrande, - "mmlu": load_mmlu, - "hellaswag": load_hellaswag, + "arc_easy": lambda num_samples: load_arc_easy( + version="original", + num_samples=num_samples + ), + "stlm_eval_arc_easy": lambda num_samples: load_arc_easy( + version="stlm_eval", + num_samples=num_samples + ), + "hellaswag": lambda num_smaples: load_hellaswag( + version="original", + num_samples=num_smaples + ), + "stlm_eval_hellaswag": lambda num_samples: load_hellaswag( + version="stlm_eval", + num_samples=num_samples + ), + "winogrande": lambda num_samples: load_winogrande( + version="original", + num_samples=num_samples + ), + "stlm_eval_winogrande": lambda num_samples: load_winogrande( + version="stlm_eval", + num_samples=num_samples + ), + "truthful_qa": lambda num_samples: load_truthful_qa_m2( + version="original", + num_samples=num_samples + ), + "stlm_eval_truthful_qa": lambda num_samples: load_truthful_qa_m2( + version="stlm_eval", + num_samples=num_samples + ), "blimp": load_blimp, + "mmlu": load_mmlu, + "piqa": load_piqa, + "boolq": load_boolq, + "race_middle": lambda num_samples: load_race( + version="middle", + num_samples=num_samples + ), + "race_high": lambda num_samples: load_race( + version="high", + num_samples=num_samples + ), + "openbook_qa_open": lambda num_samples: load_openbook_qa( + version="open", + num_samples=num_samples + ), + "openbook_qa_closed": lambda num_samples: load_openbook_qa( + version="closed", + num_samples=num_samples + ), + "copa": load_copa, + "commonsense_qa": load_commonsense_qa, } -def load_benchmark(benchmark_name, split): + + +def load_benchmark(benchmark_name, num_samples): """ Given the benchmark name, build the benchmark """ - return EVALS_DICT[benchmark_name](split=split) + assert benchmark_name in EVALS_DICT, \ + f"Benchmark {benchmark_name} not found. The available benchmarks are: {list(EVALS_DICT.keys())}" + return EVALS_DICT[benchmark_name]( + num_samples=num_samples + ) diff --git a/evals/mcqs/mcq_evaluator.py b/evals/mcqs/mcq_evaluator.py index 932e7d4e..0f526403 100644 --- a/evals/mcqs/mcq_evaluator.py +++ b/evals/mcqs/mcq_evaluator.py @@ -8,8 +8,7 @@ from evals import eval_wrapper from evals.evaluator_interface import EvaluationInterface from evals.mcqs.load_benchmarks import load_benchmark -from evals.metrics import MCQ_METRIC_DICT - +from trainers.utils import aggregate_value class MCQEvaluator(EvaluationInterface): """ @@ -17,13 +16,13 @@ class MCQEvaluator(EvaluationInterface): and prints/logs the results. """ - def __init__(self, model, num_samples=None, benchmarks=None): + def __init__(self, model, num_samples=None, benchmark_list=None): self.model = model self.wrapper = eval_wrapper.EvalWrapper(model) self.num_samples = num_samples - self.benchmarks = benchmarks + self.benchmark_list = benchmark_list # make sure the model is in eval model - #self.model.eval() + self.model.eval() @torch.no_grad() def predict(self, prefix, ground_truth, false_options): @@ -37,17 +36,6 @@ def predict(self, prefix, ground_truth, false_options): loglikelihoods = torch.tensor(loglikelihoods) return loglikelihoods - def _calculate_metrics(self, confidences): - """ - Calculate the metrics for the model - """ - score_dict = {} - - for metric_name, metric in MCQ_METRIC_DICT.items(): - score_dict[metric_name] = metric(confidences) - - return score_dict - def evaluate_benchmark(self, benchmark_name, num_samples=None): """Evaluate model performance on a specific benchmark""" # load the benchmark_loader @@ -67,27 +55,21 @@ def evaluate_benchmark(self, benchmark_name, num_samples=None): confidence, (0, max_length - len(confidence)), value=-1e10 ) - score_dict = self._calculate_metrics(torch.stack(confidences)) - - return score_dict + # calculate the accuracy and return it + _, predicted = torch.max(confidences, 1) + # aggregate the tensor values + return aggregate_value((predicted == 0).float().mean()) def evaluate(self): """Given a list of benchmark names, load and evaluate them Only do so on {num_samples} for each benchmark""" results = {} - for benchmark_name in self.benchmarks: + for benchmark_name in self.benchmark_list: print(f"evalling benchmark {benchmark_name}") - score_dict = self.evaluate_benchmark( + accuracy = self.evaluate_benchmark( benchmark_name=benchmark_name, num_samples=self.num_samples ) - results[benchmark_name] = score_dict + results[f"MCQ/{benchmark_name}"] = accuracy return results - - def _pretty_print_results(self, results): - """Pretty print the results""" - for benchmark_name, score_dict in results.items(): - print(f"{benchmark_name}:") - for metric_name, score in score_dict.items(): - print(f"\t{metric_name}: {score}") diff --git a/evals/metrics.py b/evals/metrics.py deleted file mode 100644 index 2c1065cf..00000000 --- a/evals/metrics.py +++ /dev/null @@ -1,52 +0,0 @@ -""" -A collection of metrics for evaluating models -""" - -import torch - -from trainers.utils import aggregate_value - -def accuracy_metric(confidences): - """ - Calculate the accuracy of the model over a path_prob - Assume that the ground truth is the first element in the list - Args: - confidences: (B, N) tensor of confidences - Outputs: - accuracy: float of accuracy - """ - _, predicted = torch.max(confidences, 1) - ## aggregate the tensor values - return aggregate_value((predicted == 0).float().mean()) - - -def path_confidence(confidences): - """ - Calculate the path confidence of the model. - Assume that the ground truth is the first element in the list - Args: - confidences: (B, N) tensor of confidences - Returns: - path_confidence: float of path confidences - """ - softmaxed = torch.nn.functional.softmax(confidences, dim=-1) - softmaxed = softmaxed[:, 0] - ## aggregate the tensor values - return aggregate_value(softmaxed.mean()) - -def ground_confidence(confidences): - """ - Calculate the confidence of the model on the ground truth - Assume that the ground truth is the first element in the list - Args: - confidences: (B, N) tensor of confidences - Returns: - ground_confidence: float of confidence on ground truth - See: https://arxiv.org/pdf/2406.04391 - this is equivalent to - $$P_\\theta^{\\text{Choices}}(\\text{Ground Truth})$$ over the - Path probabilities. (takeaway 3) - """ - return confidences[:, 0].mean() - - -MCQ_METRIC_DICT = {"accuracy": accuracy_metric, "path_confidence": path_confidence, "ground_confidence": ground_confidence} diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index 9965754b..be877f60 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -13,8 +13,9 @@ class TextModelingEvaluator(EvaluationInterface): Evaluator class that evaluates models on their language modeling capabilities in a way that is agnostic to the tokenizer used, using byte-level accuracy. """ - def __init__(self, model, eval_dir): + def __init__(self, model, topic_list, eval_dir): self.model = model + self.topic_list = topic_list # Ensure the model is in evaluation mode self.model.eval() diff --git a/models/build_models.py b/models/build_models.py index ab4bc706..d01095f8 100644 --- a/models/build_models.py +++ b/models/build_models.py @@ -4,7 +4,7 @@ """ import torch -from models.core_models import GenericFFNSharedTransfomer, GenericTransformer +from models.core_models import GenericTransformer from models.embedding_models import GenericEmbedder from models.experimental.byte_level.embedding_model import ByteLevelEmbedder from models.experimental.byte_level.model_heads import ByteLevelDecoder @@ -15,8 +15,6 @@ from models.experimental.next_thought.core_models import BaselineCoreModel, Conv1dCoreModel from models.model_heads import AutoregressiveLMHead from models.model_shell import ModelShell -from models.core_models import GenericCProjSharedTransfomer -from models.core_models import GenericCProjFFNSharedTransfomer from models.experimental.weight_sharing import ( SharedInteriorFFNLoraAndCProj, @@ -78,22 +76,21 @@ def build_embedding_model(model_cfg): Returns: embedding_model: embedding_model_instance """ - return EMBEDDING_MODEL_DICT[model_cfg["embedder"]["embedding_model_type"]]( + return EMBEDDING_MODEL_DICT[model_cfg["embedding_model_type"]]( model_cfg=model_cfg ) CORE_MODEL_DICT = { "generic": GenericTransformer, - "generic_ffn_sharing": GenericFFNSharedTransfomer, "hf_core": HFTransformerCore, - "next_thought_baseline": BaselineCoreModel, - "conv": Conv1dCoreModel, - "generic_cproj_shared": GenericCProjSharedTransfomer, - "generic_ffn_qproj_sharing": GenericCProjFFNSharedTransfomer, + + # experimental "ffn_lora_sharing": SharedInteriorFFNLora, "ffn_lora_sharing": SharedInteriorFFNLoraAndCProj, "ffn_lora_sharing_moe": SharedMoE, + "next_thought_baseline": BaselineCoreModel, + "conv": Conv1dCoreModel, } @@ -105,7 +102,7 @@ def build_core_model(model_cfg): Returns: core_model: core_model_instance """ - return CORE_MODEL_DICT[model_cfg["core_model"]["core_model_type"]]( + return CORE_MODEL_DICT[model_cfg["core_model_type"]]( model_cfg=model_cfg ) @@ -129,7 +126,7 @@ def build_model_head(model_cfg, embedding_model=None): Returns: model_head: model_head_instance """ - return MODEL_HEAD_DICT[model_cfg["lm_head"]["lm_head_type"]]( + return MODEL_HEAD_DICT[model_cfg["lm_head_type"]]( model_cfg=model_cfg, embedding_model=embedding_model ) @@ -150,10 +147,27 @@ def build_model_shell(model_cfg, embedding_model, core_model, model_head): model_shell: model_shell_instance """ return MODEL_SHELL_DICT[model_cfg["model_shell_type"]]( - embedding_model=embedding_model, core_model=core_model, model_head=model_head + model_cfg=model_cfg, + embedding_model=embedding_model, + core_model=core_model, + model_head=model_head, ) +MODEL_WEIGHT_INIT_DICT = { + "xavier": torch.nn.init.xavier_normal_, + "kaiming": torch.nn.init.kaiming_normal_, + "none": None, +} +def build_model_initialization_function(model_cfg): + """ + Given the model initialiation config, build it. + """ + return MODEL_WEIGHT_INIT_DICT[ + model_cfg.get("initialization_fn", "kaiming") + ] + + def initialize_model(model_cfg): """ Initialize the model given the configuration. @@ -174,11 +188,6 @@ def initialize_model(model_cfg): embedding_model=embedding_model ) - # check if embedding model weights are to be shared with the model head - if model_cfg["embedding_weight_tying"]: - # share the weights between the token embeddings and the final - # logit layer, following: https://paperswithcode.com/method/weight-tying - embedding_model.token_embedder.weight = model_head.linear.weight # build the model shell model = build_model_shell( @@ -188,4 +197,18 @@ def initialize_model(model_cfg): model_head=model_head, ) + # initialize the model weights + init_fn_type = model_cfg.get("initialization_fn", "kaiming") + if init_fn_type != None: + init_fn = build_model_initialization_function(model_cfg) + + def init_weights(m): + if isinstance(m, (torch.nn.Linear, torch.nn.Conv2d, torch.nn.Conv1d)): + init_fn(m.weight) + if m.bias is not None: + torch.nn.init.zeros_(m.bias) + + model.apply(init_weights) + + return model diff --git a/models/components/layers/activations.py b/models/components/layers/activations.py index e9b89868..1a589df0 100644 --- a/models/components/layers/activations.py +++ b/models/components/layers/activations.py @@ -4,37 +4,6 @@ import torch -class LearnedActivation(torch.nn.Module): - def __init__(self, hidden_size=10): - super(LearnedActivation, self).__init__() - self.fc1 = torch.nn.Linear(1, hidden_size) - self.fc2 = torch.nn.Linear(hidden_size, 1) - self.initialize_weights() - - def initialize_weights(self): - # Initialize weights to the learned parameters - self.fc1.weight.data = torch.tensor([[-0.3478], - [-0.3444], - [-0.9863], - [-0.8657], - [-0.0148], - [ 0.1085], - [-0.5282], - [-0.1138], - [-1.1070], - [-0.1035]]) - self.fc1.bias.data = torch.tensor([ 1.4480, 1.4610, -0.8526, 0.0151, -0.1249, -0.7658, 2.2386, -0.8884, 1.0032, -0.6235]) - self.fc2.weight.data = torch.tensor([[-0.4762, -1.2194, 0.4155, 0.3927, -0.2778, 0.0986, -0.9284, 0.2070, 0.3586, -0.2143]]) - self.fc2.bias.data = torch.tensor([4.1740]) - - def forward(self, x): - # Flatten the input to apply the learned activation element-wise - orig_shape = x.shape - x = x.view(-1, 1) # Flatten to (N, 1) - x = torch.relu(self.fc1(x)) - x = self.fc2(x) - return x.view(orig_shape) # Reshape back to original shape - ACTIVATIONS_DICT = { "gelu": torch.nn.GELU(), @@ -43,7 +12,6 @@ def forward(self, x): "tanh": torch.nn.Tanh(), "sigmoid": torch.nn.Sigmoid(), "silu": torch.nn.SiLU(), - "learned": LearnedActivation(hidden_size=10), "none": torch.nn.Identity(), } diff --git a/models/components/layers/attention.py b/models/components/layers/attention.py index 41b06b37..edbf4ff1 100644 --- a/models/components/layers/attention.py +++ b/models/components/layers/attention.py @@ -13,15 +13,18 @@ class Attention(torch.nn.Module): def __init__( self, hidden_dim, - num_heads, + num_q_heads, + num_kv_heads, bias, use_rope, context_window, is_causal, - group_size, ): super().__init__() - assert hidden_dim % num_heads == 0, "Hidden dim must be divisible by num heads" + assert hidden_dim % num_kv_heads == 0, "Hidden dim must be divisible by num heads" + assert num_kv_heads % num_q_heads == 0, "num_kv_heads must be divisible by num_q_heads" + + group_size = num_kv_heads // num_q_heads # key, query, value projections for all heads self.c_attn = torch.nn.Linear( @@ -34,7 +37,7 @@ def __init__( # attention dropout self.attn_dropout = torch.nn.Dropout() - self.num_heads = num_heads + self.num_kv_heads = num_kv_heads self.group_size = group_size self.is_causal = is_causal @@ -43,7 +46,7 @@ def __init__( if self.use_rope: assert context_window % 2 == 0 self.freqs_cis = compute_freqs_cis( - seq_len=context_window, head_dim=hidden_dim // num_heads + seq_len=context_window, head_dim=hidden_dim // num_kv_heads ) def forward(self, x, attention_mask=None): @@ -52,15 +55,15 @@ def forward(self, x, attention_mask=None): """ assert attention_mask is None, "Not implemented yet" B, S, H = x.size() - num_grouped_heads = self.num_heads // self.group_size + num_grouped_heads = self.num_kv_heads // self.group_size group_hidden_dim = H // self.group_size # calculate query, key, values for all heads in batch # move head forward to be the batch dim q, k, v = self.c_attn(x).split([H, group_hidden_dim, group_hidden_dim], dim=-1) - k = k.view(B, S, num_grouped_heads, H // self.num_heads) # (B, T, nh, hs) - q = q.view(B, S, self.num_heads, H // self.num_heads) # (B, T, nh, hs) - v = v.view(B, S, num_grouped_heads, H // self.num_heads).transpose( + k = k.view(B, S, num_grouped_heads, H // self.num_kv_heads) # (B, T, nh, hs) + q = q.view(B, S, self.num_kv_heads, H // self.num_kv_heads) # (B, T, nh, hs) + v = v.view(B, S, num_grouped_heads, H // self.num_kv_heads).transpose( 1, 2 ) # (B, nh, T, hs) @@ -127,14 +130,23 @@ def compute_freqs_cis(seq_len, head_dim): ATTENTION_DICT = { - "generic": lambda hidden_dim, context_window, use_rope, attn_cfg: Attention( + "causal": lambda hidden_dim, context_window, use_rope, attn_cfg: Attention( + hidden_dim=hidden_dim, + num_kv_heads=attn_cfg["num_kv_heads"], + num_q_heads=attn_cfg.get("num_q_heads", attn_cfg["num_kv_heads"]), + bias=attn_cfg.get("bias", False), # Default to False + use_rope=use_rope, + context_window=context_window, + is_causal=True, + ), + "bidirectional": lambda hidden_dim, context_window, use_rope, attn_cfg: Attention( hidden_dim=hidden_dim, - num_heads=attn_cfg["num_heads"], - bias=attn_cfg["bias"], + num_kv_heads=attn_cfg["num_kv_heads"], + num_q_heads=attn_cfg.get("num_q_heads", attn_cfg["num_kv_heads"]), + bias=attn_cfg.get("bias", False), # Default to False use_rope=use_rope, context_window=context_window, - is_causal=attn_cfg["is_causal"], - group_size=attn_cfg["group_size"], + is_causal=False, ) } diff --git a/models/components/layers/feedforward.py b/models/components/layers/feedforward.py index 580f5deb..d24d9310 100644 --- a/models/components/layers/feedforward.py +++ b/models/components/layers/feedforward.py @@ -19,6 +19,7 @@ def __init__( ffn_dim, bias, ffn_activation, + ffn_dropout ): super().__init__() # build the ffn block @@ -28,17 +29,22 @@ def __init__( self.linear_2 = torch.nn.Linear(ffn_dim, hidden_dim, bias=bias) + self.dropout = torch.nn.Dropout( + p=ffn_dropout + ) + def forward(self, x): """ A simple forward pass through the FFN """ + x = self.dropout(x) x = self.linear_1(x) x = self.activation(x) x = self.linear_2(x) return x -class SwiGLUFFN(torch.nn.Module): +class SiluFFN(torch.nn.Module): """ Implementation based on: https://github.com/meta-llama/llama3/blob/main/llama/model.py @@ -52,6 +58,7 @@ def __init__( hidden_dim, ffn_dim, bias, + ffn_dropout ): super().__init__() # build the linear functions @@ -61,10 +68,15 @@ def __init__( self.linear_3 = torch.nn.Linear(hidden_dim, ffn_dim, bias=bias) + self.dropout = torch.nn.Dropout( + p=ffn_dropout + ) + def forward(self, x): """ A simple forward pass through the FFN """ + x = self.dropout(x) return self.linear_2(F.silu(self.linear_1(x)) * self.linear_3(x)) @@ -72,13 +84,15 @@ def forward(self, x): "generic": lambda hidden_dim, ffn_cfg: GenericFFN( hidden_dim=hidden_dim, ffn_dim=ffn_cfg["ffn_dim"], - bias=ffn_cfg["bias"], - ffn_activation=ffn_cfg["activation"], + bias=ffn_cfg.get("bias", False), # Default to False + ffn_activation=ffn_cfg.get("activation", "gelu"), # Default to 'gelu + ffn_dropout=ffn_cfg.get("ffn_dropout", 0.0) # Default to 0.0 ), - "swiglu": lambda hidden_dim, ffn_cfg: SwiGLUFFN( + "silu_ffn": lambda hidden_dim, ffn_cfg: SiluFFN( hidden_dim=hidden_dim, ffn_dim=ffn_cfg["ffn_dim"], - bias=ffn_cfg["bias"], + bias=ffn_cfg.get("bias", False), # Default to False + ffn_dropout=ffn_cfg.get("ffn_dropout", 0.0) # Default to 0.0 ), } @@ -87,4 +101,7 @@ def build_ffn(hidden_dim, ffn_cfg): """ Build a feedforward network """ + assert ffn_cfg["ffn_type"] in FFN_DICT, \ + f"FFN type {ffn_cfg['ffn_type']} not found. Available types: {FFN_DICT.keys()}" + return FFN_DICT[ffn_cfg["ffn_type"]](hidden_dim=hidden_dim, ffn_cfg=ffn_cfg) diff --git a/models/components/layers/normalization.py b/models/components/layers/normalization.py index 69b87605..df6020af 100644 --- a/models/components/layers/normalization.py +++ b/models/components/layers/normalization.py @@ -53,4 +53,6 @@ def build_normalization(normalization_name, dim, bias=None): Available options: rmsnorm, layernorm - Bias is ignored for RMSNorm """ + assert normalization_name in NORMALIZATION_DICT, \ + f"Normalization {normalization_name} not found! Available options: {NORMALIZATION_DICT.keys()}" return NORMALIZATION_DICT[normalization_name](dim=dim, bias=bias) diff --git a/models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/added_tokens.json b/models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/added_tokens.json similarity index 100% rename from models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/added_tokens.json rename to models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/added_tokens.json diff --git a/models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/merges.txt b/models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/merges.txt similarity index 100% rename from models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/merges.txt rename to models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/merges.txt diff --git a/models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/special_tokens_map.json b/models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/special_tokens_map.json similarity index 100% rename from models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/special_tokens_map.json rename to models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/special_tokens_map.json diff --git a/models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/tokenizer.json b/models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/tokenizer.json similarity index 100% rename from models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/tokenizer.json rename to models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/tokenizer.json diff --git a/models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/tokenizer_config.json b/models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/tokenizer_config.json similarity index 100% rename from models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/tokenizer_config.json rename to models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/tokenizer_config.json diff --git a/models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/vocab.json b/models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/vocab.json similarity index 100% rename from models/components/tokenizers/tokenizer_models/bpe-retrain_en_wiki_4000.model/vocab.json rename to models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/vocab.json diff --git a/models/components/layers/tokenizers.py b/models/components/layers/tokenizers.py new file mode 100644 index 00000000..d591a82e --- /dev/null +++ b/models/components/layers/tokenizers.py @@ -0,0 +1,239 @@ +""" A collection of different tokenizers. """ +from typing import List + +import torch +import tiktoken +from transformers import AutoTokenizer + +# local imports +from trainers.data_utils import load_data +from models.components.layers import utils + +# Custom BPE tokenizer imports +from tokenizers import Tokenizer +from tokenizers.models import BPE +from tokenizers.trainers import BpeTrainer +from tokenizers.pre_tokenizers import Whitespace + + +class TokenizerClass: + """Base class for tokenizers, defines the interface for tokenizers.""" + + def __init__(self, **_): + self.eot_token = 0 + self.pad_token = 0 + self.vocab_size = ... + + def encode(self, text): + """Encode a text into tokens.""" + raise NotImplementedError + + def encode_batch(self, texts): + """Encode a batch of texts into tokens. + + Default implementation is to loop over the texts""" + for text in texts: + yield self.encode(text) + + def pad_batch(self, token_lists, direction="right"): + """Pad a list of token lists to the same length, + and return the padded tensor, and mask tensor. + + Direction can be 'right' or 'left' to specify the padding direction. + """ + max_len = max(len(tokens) for tokens in token_lists) + padded_tokens = [] + mask = [] + for tokens in token_lists: + if direction == "right": + padded_tokens.append(tokens + [self.pad_token] * (max_len - len(tokens))) + mask.append([1] * len(tokens) + [0] * (max_len - len(tokens))) + elif direction == "left": + padded_tokens.append([self.pad_token] * (max_len - len(tokens)) + tokens) + mask.append([0] * (max_len - len(tokens)) + [1] * len(tokens)) + return torch.tensor(padded_tokens), torch.tensor(mask) + + def decode(self, tokens): + """Decode a list of tokens into a string.""" + raise NotImplementedError + + def decode_batch(self, token_lists): + """Decode a list of token lists into a list of strings. + + Default implementation is to loop over the token lists.""" + for tokens in token_lists: + yield self.decode(tokens) + + +class HuggingfaceTokenizer(TokenizerClass): + """A simple wrapper around a Huggingface Tokenizer.""" + + def __init__(self, tokenizer_path): + super().__init__() + # load the tokenizer + self.tokenizer = AutoTokenizer.from_pretrained(tokenizer_path) + self.eot_token = self.tokenizer.eos_token_id + self.pad_token = self.tokenizer.pad_token_id + self.vocab_size = self.tokenizer.vocab_size + + def encode(self, text): + """Encode a string into tokens.""" + return self.tokenizer.encode(text, add_special_tokens=False) + + def encode_batch(self, texts): + """Encode a list of strings into tokens.""" + return [self.encode(text) for text in texts] + + def decode(self, tokens): + """Decode a list of tokens into a string.""" + if torch.is_tensor(tokens): + tokens = tokens.tolist() + return self.tokenizer.decode(tokens) + + def decode_batch(self, token_lists): + """Decode a list of token lists into a list of strings.""" + if torch.is_tensor(token_lists): + token_lists = token_lists.tolist() + return [self.decode(tokens) for tokens in token_lists] + +class TiktokenTokenizer(TokenizerClass): + """A simple wrapper around the GPT2 Tokenizer.""" + + def __init__(self, tokenizer_name: str): + super().__init__() + self.tokenizer = tiktoken.get_encoding(tokenizer_name) + self.eot_token = self.tokenizer.eot_token + self.pad_token = self.tokenizer.eot_token + self.vocab_size = self.tokenizer.max_token_value + 1 + + def encode(self, text): + """Encode a string into tokens.""" + return self.tokenizer.encode_ordinary(text) + + def encode_batch(self, texts): + """Encode a list of strings into tokens.""" + return self.tokenizer.encode_ordinary_batch(texts) + + def decode(self, tokens): + """Decode a list of tokens into a string.""" + # check if the tokens are a tensor + if torch.is_tensor(tokens): + tokens = tokens.tolist() + return self.tokenizer.decode(tokens) + + def decode_batch(self, token_lists): + """Decode a list of token lists into a list of strings.""" + if torch.is_tensor(token_lists): + token_lists = token_lists.tolist() + return self.tokenizer.decode_batch(token_lists) + + + +class BPETokenizer(TokenizerClass): + def __init__(self, vocab_size: int, dataset_name: str): + super().__init__() + self.vocab_size = vocab_size + self.dataset_name = dataset_name + if not utils.check_if_tokenizer_exists( + tokenizer_type="bpe", vocab_size=vocab_size, dataset_name=dataset_name + ): + self._train_tokenizer() + self._save() + else: + self._load() + + self.pad_token = self.tokenizer.token_to_id("<|pad|>") + self.eot_token = self.tokenizer.token_to_id("<|endoftext|>") + self.unk_token = self.tokenizer.token_to_id("<|unk|>") # shouldn't be necessary, but just to be safe + + def _train_tokenizer(self, verbose: bool = True): + raw_datasets = load_data(dataset_name=self.dataset_name) + + # Initialize a new tokenizer + self.tokenizer = Tokenizer(BPE(unk_token="<|unk|>")) + + # Define special tokens + special_tokens = ["<|pad|>", "<|endoftext|>", "<|unk|>"] + + # Initialize the trainer + trainer = BpeTrainer( + vocab_size=self.vocab_size, + special_tokens=special_tokens, + show_progress=verbose + ) + + # Pre-tokenize using whitespace + self.tokenizer.pre_tokenizer = Whitespace() + + # Prepare the training data + def batch_iterator(): + for i in range(0, len(raw_datasets["train"]), 1000): + yield raw_datasets["train"][i:i+1000]["text"] + + # Train the tokenizer + self.tokenizer.train_from_iterator(batch_iterator(), trainer=trainer) + + def encode(self, text: str) -> List[int]: + return self.tokenizer.encode(text).ids + + def encode_batch(self, texts: List[str]) -> List[List[int]]: + return [self.encode(text) for text in texts] + + def decode(self, tokens: List[int]) -> str: + if torch.is_tensor(tokens): + tokens = tokens.tolist() + return self.tokenizer.decode(tokens) + + def decode_batch(self, token_lists: List[List[int]]) -> List[str]: + if torch.is_tensor(token_lists): + token_lists = token_lists.tolist() + return [self.decode(tokens) for tokens in token_lists] + + def _save(self): + _, tokenizer_path = utils.get_tokenizer_path( + tokenizer_type="bpe", + vocab_size=self.vocab_size, + dataset_name=self.dataset_name, + ) + self.tokenizer.save(str(tokenizer_path)) + + def _load(self): + _, tokenizer_path = utils.get_tokenizer_path( + tokenizer_type="bpe", + vocab_size=self.vocab_size, + dataset_name=self.dataset_name, + ) + self.tokenizer = Tokenizer.from_file(str(tokenizer_path)) + self.vocab = self.tokenizer.get_vocab() + + + + +TOKENIZER_DICT = { + # a number of standard tiktoken tokenizers + "o200k_base": lambda vocab_size, dataset_name: TiktokenTokenizer(tokenizer_name="o200k_base"), + "cl100k_base": lambda vocab_size, dataset_name: TiktokenTokenizer(tokenizer_name="cl100k_base"), + "p50k_base": lambda vocab_size, dataset_name: TiktokenTokenizer(tokenizer_name="p50k_base"), + "gpt2": lambda vocab_size, dataset_name: TiktokenTokenizer(tokenizer_name="gpt2"), + + # a number of standard huggingface tokenizers + "llama_32k": lambda vocab_size, dataset_name: HuggingfaceTokenizer(tokenizer_path="chavinlo/alpaca-native"), + "opt_50k": lambda vocab_size, dataset_name: HuggingfaceTokenizer(tokenizer_path="facebook/opt-1.3b"), + "mistral_32k": lambda vocab_size, dataset_name: HuggingfaceTokenizer(tokenizer_path="mistralai/Mistral-7B-v0.1"), + + # a custom BPE tokenizer (using the HF implementation) + "bpe": lambda vocab_size, dataset_name: BPETokenizer( + vocab_size=vocab_size, dataset_name=dataset_name + ), +} + + +def build_tokenizer(tokenizer_type, vocab_size, dataset_name) -> TokenizerClass: + """ + Build the tokenizer. + """ + assert tokenizer_type in TOKENIZER_DICT, \ + f"Tokenizer type {tokenizer_type} not found. The available tokenizers are: {list(TOKENIZER_DICT.keys())}" + return TOKENIZER_DICT[tokenizer_type]( + vocab_size=vocab_size, dataset_name=dataset_name + ) diff --git a/models/components/layers/transformer_blocks.py b/models/components/layers/transformer_blocks.py index 879ff744..aa0f2c63 100644 --- a/models/components/layers/transformer_blocks.py +++ b/models/components/layers/transformer_blocks.py @@ -36,7 +36,7 @@ def __init__(self, hidden_dim, context_window, use_rope, ffn_cfg, attn_cfg): # build the ffn norm self.ffn_norm = build_normalization( - normalization_name=ffn_cfg["normalization"], + normalization_name=ffn_cfg.get("normalization", "rms_norm"), # Default: rms_norm dim=hidden_dim, bias=ffn_cfg["bias"], ) diff --git a/models/components/layers/utils.py b/models/components/layers/utils.py new file mode 100644 index 00000000..ef7cc0fa --- /dev/null +++ b/models/components/layers/utils.py @@ -0,0 +1,33 @@ +""" +A collection of util functions +""" +import os +import hydra + + +### Tokenizer Utils +def get_tokenizer_path(tokenizer_type, vocab_size, dataset_name): + """ + Get the path to the tokenizer. + """ + # Get the project root directory + project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..')) + ## Hot-fix because the hydra.utils.get_original_cwd() is not working + ## TODO: find better solution + + tokenizer_folder = os.path.join( + project_root, "components", "layers", "tokenizer_models" + ) + tokenizer_full_path = os.path.join( + tokenizer_folder, f"{tokenizer_type}_{dataset_name}_{vocab_size}.model" + ) + input(tokenizer_full_path) + return tokenizer_folder, tokenizer_full_path + +def check_if_tokenizer_exists(tokenizer_type, vocab_size, dataset_name): + """ + Check if the tokenizer already exists. + """ + _, tokenizer_path = get_tokenizer_path(tokenizer_type, vocab_size, dataset_name) + return os.path.exists(tokenizer_path) + diff --git a/models/components/tokenizers/__init__.py b/models/components/tokenizers/__init__.py deleted file mode 100644 index ca532447..00000000 --- a/models/components/tokenizers/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -""" -Simplify imports -""" - -from models.components.tokenizers.setup import build_tokenizer diff --git a/models/components/tokenizers/base_class.py b/models/components/tokenizers/base_class.py deleted file mode 100644 index 673f7280..00000000 --- a/models/components/tokenizers/base_class.py +++ /dev/null @@ -1,52 +0,0 @@ -"""Base Class for Tokenizers""" - -import torch - - -class Tokenizer: - """Base class for tokenizers, defines the interface for tokenizers.""" - - def __init__(self, **_): - self.eot_token = 0 - self.pad_token = 0 - self.vocab_size = ... - - def encode(self, text): - """Encode a text into tokens.""" - raise NotImplementedError - - def encode_batch(self, texts): - """Encode a batch of texts into tokens. - - Default implementation is to loop over the texts""" - for text in texts: - yield self.encode(text) - - def pad_batch(self, token_lists, direction="right"): - """Pad a list of token lists to the same length, - and return the padded tensor, and mask tensor. - - Direction can be 'right' or 'left' to specify the padding direction. - """ - max_len = max(len(tokens) for tokens in token_lists) - padded_tokens = [] - mask = [] - for tokens in token_lists: - if direction == "right": - padded_tokens.append(tokens + [self.pad_token] * (max_len - len(tokens))) - mask.append([1] * len(tokens) + [0] * (max_len - len(tokens))) - elif direction == "left": - padded_tokens.append([self.pad_token] * (max_len - len(tokens)) + tokens) - mask.append([0] * (max_len - len(tokens)) + [1] * len(tokens)) - return torch.tensor(padded_tokens), torch.tensor(mask) - - def decode(self, tokens): - """Decode a list of tokens into a string.""" - raise NotImplementedError - - def decode_batch(self, token_lists): - """Decode a list of token lists into a list of strings. - - Default implementation is to loop over the token lists.""" - for tokens in token_lists: - yield self.decode(tokens) diff --git a/models/components/tokenizers/bpe.py b/models/components/tokenizers/bpe.py deleted file mode 100644 index 6cc4d7a2..00000000 --- a/models/components/tokenizers/bpe.py +++ /dev/null @@ -1,150 +0,0 @@ -import os -from typing import List -import torch -from tokenizers import Tokenizer -from tokenizers.models import BPE -from tokenizers.trainers import BpeTrainer -from tokenizers.pre_tokenizers import Whitespace - -from models.components.tokenizers import utils -from models.components.tokenizers.base_class import Tokenizer as BaseTokenizer -from trainers.utils import load_data - -class BPETokenizer(BaseTokenizer): - """Tokenizer for Byte Pair Encoding using Hugging Face tokenizers library.""" - - def __init__(self, vocab_size: int, dataset_name: str): - """ - Initialize the BPE tokenizer. - - Args: - vocab_size (int): The desired vocabulary size. - dataset_name (str): The name of the dataset to use for training. - """ - super().__init__() - self.vocab_size = vocab_size - self.dataset_name = dataset_name - self.special_tokens = { - "<|pad|>": vocab_size - 3, - "<|endoftext|>": vocab_size - 2, - "<|unk|>": vocab_size - 1, - } - self.pad_token = self.special_tokens["<|pad|>"] - self.eot_token = self.special_tokens["<|endoftext|>"] - self.unk_token = self.special_tokens["<|unk|>"] - - assert self.vocab_size >= 256 + len(self.special_tokens), \ - f"Vocab size too small! Must be > {256 + len(self.special_tokens)})" - - if not utils.check_if_tokenizer_exists( - tokenizer_type="bpe", vocab_size=vocab_size, dataset_name=dataset_name - ): - self._train_tokenizer() - self._save() - else: - self._load() - - def encode(self, text: str) -> List[int]: - """ - Encode the text into BPE tokens. - - Args: - text (str): The input text to encode. - - Returns: - List[int]: The list of token ids. - """ - return self.tokenizer.encode(text).ids - - def encode_batch(self, texts: List[str]) -> List[List[int]]: - """ - Encode a batch of texts into BPE tokens. - - Args: - texts (List[str]): The list of input texts to encode. - - Returns: - List[List[int]]: The list of token id lists. - """ - return [self.encode(text) for text in texts] - - def decode(self, tokens: List[int]) -> str: - """ - Decode the BPE tokens back into text. - - Args: - tokens (List[int]): The list of token ids to decode. - - Returns: - str: The decoded text. - """ - if torch.is_tensor(tokens): - tokens = tokens.tolist() - return self.tokenizer.decode(tokens) - - def decode_batch(self, token_lists: List[List[int]]) -> List[str]: - """ - Decode a batch of BPE token lists back into text. - - Args: - token_lists (List[List[int]]): The list of token id lists to decode. - - Returns: - List[str]: The list of decoded texts. - """ - if torch.is_tensor(token_lists): - token_lists = token_lists.tolist() - return [self.decode(tokens) for tokens in token_lists] - - def _train_tokenizer(self, verbose: bool = True): - """ - Train the BPE tokenizer on the given dataset. - - Args: - verbose (bool): Whether to show progress during training. - """ - tokenizer = Tokenizer(BPE(unk_token="<|unk|>")) - tokenizer.pre_tokenizer = Whitespace() - - trainer = BpeTrainer( - vocab_size=self.vocab_size, - special_tokens=list(self.special_tokens.keys()), - min_frequency=2 - ) - - dataset = load_data(dataset_name=self.dataset_name) - files = [dataset["train"]["text"]] # Adjust based on your dataset structure - - tokenizer.train(files, trainer) - - self.tokenizer = tokenizer - self.vocab = {id: token for token, id in tokenizer.get_vocab().items()} - self.merges = tokenizer.model.merges - - def _save(self): - """ - Save the tokenizer as a .json file. - """ - tokenizer_folder, tokenizer_path = utils.get_tokenizer_path( - tokenizer_type="bpe", - vocab_size=self.vocab_size, - dataset_name=self.dataset_name, - ) - if not os.path.exists(tokenizer_folder): - os.makedirs(tokenizer_folder) - - self.tokenizer.save(tokenizer_path) - - def _load(self): - """ - Load the tokenizer from a .json file. - """ - _, tokenizer_path = utils.get_tokenizer_path( - tokenizer_type="bpe", - vocab_size=self.vocab_size, - dataset_name=self.dataset_name, - ) - - self.tokenizer = Tokenizer.from_file(tokenizer_path) - self.vocab = {id: token for token, id in self.tokenizer.get_vocab().items()} - self.merges = self.tokenizer.model.merges \ No newline at end of file diff --git a/models/components/tokenizers/bpe_retrain.py b/models/components/tokenizers/bpe_retrain.py deleted file mode 100644 index a49973d0..00000000 --- a/models/components/tokenizers/bpe_retrain.py +++ /dev/null @@ -1,149 +0,0 @@ -import os -from typing import List -import torch -from tokenizers import Tokenizer -from tokenizers.models import BPE -from tokenizers.trainers import BpeTrainer -from tokenizers.pre_tokenizers import Whitespace - -from models.components.tokenizers import utils -from models.components.tokenizers.base_class import Tokenizer as BaseTokenizer -from trainers.utils import load_data - -from transformers import AutoTokenizer - - - -class BPERetrainTokenizer(BaseTokenizer): - """Tokenizer for Byte Pair Encoding using Hugging Face tokenizers library.""" - - def __init__(self, vocab_size: int, dataset_name: str): - """ - Initialize the BPE tokenizer. - - Args: - vocab_size (int): The desired vocabulary size. - dataset_name (str): The name of the dataset to use for training. - """ - super().__init__() - self.vocab_size = vocab_size - self.dataset_name = dataset_name - - - if not utils.check_if_tokenizer_exists( - tokenizer_type="bpe-retrain", vocab_size=vocab_size, dataset_name=dataset_name - ): - self._train_tokenizer() - self._save() - else: - self._load() - self.pad_token = self.tokenizer.encode("<|pad|>")[0] - self.eot_token = self.tokenizer.encode("<|endoftext|>")[0] - self.unk_token = self.tokenizer.encode("<|unk|>")[0] - - def encode(self, text: str) -> List[int]: - """ - Encode the text into BPE tokens. - - Args: - text (str): The input text to encode. - - Returns: - List[int]: The list of token ids. - """ - return self.tokenizer.encode(text)#.ids - - def encode_batch(self, texts: List[str]) -> List[List[int]]: - """ - Encode a batch of texts into BPE tokens. - - Args: - texts (List[str]): The list of input texts to encode. - - Returns: - List[List[int]]: The list of token id lists. - """ - return [self.encode(text) for text in texts] - - def decode(self, tokens: List[int]) -> str: - """ - Decode the BPE tokens back into text. - - Args: - tokens (List[int]): The list of token ids to decode. - - Returns: - str: The decoded text. - """ - if torch.is_tensor(tokens): - tokens = tokens.tolist() - return self.tokenizer.decode(tokens) - - def decode_batch(self, token_lists: List[List[int]]) -> List[str]: - """ - Decode a batch of BPE token lists back into text. - - Args: - token_lists (List[List[int]]): The list of token id lists to decode. - - Returns: - List[str]: The list of decoded texts. - """ - if torch.is_tensor(token_lists): - token_lists = token_lists.tolist() - return [self.decode(tokens) for tokens in token_lists] - - def _train_tokenizer(self, verbose: bool = True): - """ - Train the BPE tokenizer on the given dataset. - - Args: - verbose (bool): Whether to show progress during training. - """ - raw_datasets = load_data(dataset_name=self.dataset_name) - def get_training_corpus(): - dataset = raw_datasets["train"] - for start_idx in range(0, len(dataset), 1000): - samples = dataset[start_idx : start_idx + 1000] - yield samples["text"] - - training_corpus = get_training_corpus() - - old_tokenizer = AutoTokenizer.from_pretrained("gpt2") - self.tokenizer = old_tokenizer.train_new_from_iterator(training_corpus, self.vocab_size-3) - - # add special tokens - self.tokenizer.add_special_tokens( - { - 'additional_special_tokens': [ - "<|pad|>", - "<|endoftext|>", - "<|unk|>" - ] - } - ) - - def _save(self): - """ - Save the tokenizer - """ - _, tokenizer_path = utils.get_tokenizer_path( - tokenizer_type="bpe-retrain", - vocab_size=self.vocab_size, - dataset_name=self.dataset_name, - ) - #self.tokenizer.save(tokenizer_path) - self.tokenizer.save_pretrained(tokenizer_path) - - def _load(self): - """ - Load the tokenizer from a .json file. - """ - _, tokenizer_path = utils.get_tokenizer_path( - tokenizer_type="bpe-retrain", - vocab_size=self.vocab_size, - dataset_name=self.dataset_name, - ) - self.tokenizer = AutoTokenizer.from_pretrained(tokenizer_path) - #self.tokenizer.add_special_tokens(self.special_tokens) - self.vocab = {id: token for token, id in self.tokenizer.get_vocab().items()} \ No newline at end of file diff --git a/models/components/tokenizers/bpe_subsampled.py b/models/components/tokenizers/bpe_subsampled.py deleted file mode 100644 index 1617e542..00000000 --- a/models/components/tokenizers/bpe_subsampled.py +++ /dev/null @@ -1,142 +0,0 @@ -import os -from typing import List -import torch -from tokenizers import Tokenizer -from tokenizers.models import BPE -from tokenizers.trainers import BpeTrainer -from tokenizers.pre_tokenizers import Whitespace - -import json -from transformers import AutoTokenizer -from tokenizers import Tokenizer - - -from models.components.tokenizers import utils -from models.components.tokenizers.base_class import Tokenizer as BaseTokenizer -from trainers.utils import load_data - -class BPESubsampledTokenizer(BaseTokenizer): - """Tokenizer for Byte Pair Encoding using Hugging Face tokenizers library.""" - - def __init__(self, vocab_size: int): - """ - Load and subsample the Llama-3.1 tokenizer - """ - self.vocab_size = vocab_size - 256 - self.special_tokens = ["<|pad|>", "<|endoftext|>", "<|unk|>"] - - assert self.vocab_size >= 256 + len(self.special_tokens), \ - f"Vocab size too small! Must be > {256 + len(self.special_tokens)})" - - self.tokenizer = AutoTokenizer.from_pretrained("NousResearch/Hermes-3-Llama-3.1-8B", use_fast=True) - assert self.tokenizer.is_fast, "Tokenizer is not fast" - tokenizer_json = json.loads(self.tokenizer._tokenizer.to_str()) - vocab = tokenizer_json["model"]["vocab"] - - # Prune the vocabulary - new_vocab = {token: i for i, (token, _) in enumerate(vocab.items()) if i < self.vocab_size-3} - merges = tokenizer_json["model"]["merges"] - new_merges = [] - for i in range(len(merges)): - a, b = merges[i].split() - new_token = "".join([a, b]) - if a in new_vocab and b in new_vocab and new_token in new_vocab: - new_merges.append(merges[i]) - - # add the special tokens (eot, pad, unk) - new_vocab["<|pad|>"] = self.vocab_size - 3 - new_vocab["<|endoftext|>"] = self.vocab_size - 2 - new_vocab["<|unk|>"] = self.vocab_size - 1 - - tokenizer_json["model"]["merges"] = new_merges - tokenizer_json["model"]["vocab"] = new_vocab - self.tokenizer = Tokenizer.from_str(json.dumps(tokenizer_json)) - - # Verification step - print(f"Vocabulary size: {len(self.tokenizer.get_vocab())}") - print(f"Maximum token ID: {max(self.tokenizer.get_vocab().values())}") - - self.pad_token = self.tokenizer.token_to_id("<|pad|>") - self.eot_token = self.tokenizer.token_to_id("<|endoftext|>") - self.unk_token = self.tokenizer.token_to_id("<|unk|>") - - - - def encode(self, text: str) -> List[int]: - """ - Encode the text into BPE tokens. - - Args: - text (str): The input text to encode. - - Returns: - List[int]: The list of token ids. - """ - return self.tokenizer.encode(text, add_special_tokens=False).ids - - - def encode_batch(self, texts: List[str]) -> List[List[int]]: - """ - Encode a batch of texts into BPE tokens. - - Args: - texts (List[str]): The list of input texts to encode. - - Returns: - List[List[int]]: The list of token id lists. - """ - return [self.encode(text) for text in texts] - - def decode(self, tokens: List[int]) -> str: - """ - Decode the BPE tokens back into text. - - Args: - tokens (List[int]): The list of token ids to decode. - - Returns: - str: The decoded text. - """ - if torch.is_tensor(tokens): - tokens = tokens.tolist() - return self.tokenizer.decode(tokens) - - def decode_batch(self, token_lists: List[List[int]]) -> List[str]: - """ - Decode a batch of BPE token lists back into text. - - Args: - token_lists (List[List[int]]): The list of token id lists to decode. - - Returns: - List[str]: The list of decoded texts. - """ - if torch.is_tensor(token_lists): - token_lists = token_lists.tolist() - return [self.decode(tokens) for tokens in token_lists] - - def _train_tokenizer(self, verbose: bool = True): - """ - No need to train - """ - pass - - def _save(self): - """ - Save the tokenizer as a .json file. - """ - tokenizer_folder, tokenizer_path = utils.get_tokenizer_path( - tokenizer_type="bpe", - vocab_size=self.vocab_size, - dataset_name=self.dataset_name, - ) - if not os.path.exists(tokenizer_folder): - os.makedirs(tokenizer_folder) - - self.tokenizer.save(tokenizer_path) - - def _load(self): - """ - No need to load - """ - pass \ No newline at end of file diff --git a/models/components/tokenizers/ck100k.py b/models/components/tokenizers/ck100k.py deleted file mode 100644 index 46a1e877..00000000 --- a/models/components/tokenizers/ck100k.py +++ /dev/null @@ -1,41 +0,0 @@ -""" -A simple wrapper around the GPT2 Tokenizer to -standardize the interface for tokenization. -""" - -import tiktoken -import torch - -from models.components.tokenizers.base_class import Tokenizer - - -class CL100KTokenizer(Tokenizer): - """A simple wrapper around the cl100k Tokenizer.""" - - def __init__(self, **_): - super().__init__() - self.tokenizer = tiktoken.get_encoding("cl100k_base") - self.eot_token = self.tokenizer.eot_token - self.pad_token = self.tokenizer.eot_token - self.vocab_size = self.tokenizer.max_token_value + 1 - - def encode(self, text): - """Encode a string into tokens.""" - return self.tokenizer.encode_ordinary(text) - - def encode_batch(self, texts): - """Encode a list of strings into tokens.""" - return self.tokenizer.encode_ordinary_batch(texts) - - def decode(self, tokens): - """Decode a list of tokens into a string.""" - # check if the tokens are a tensor - if torch.is_tensor(tokens): - tokens = tokens.tolist() - return self.tokenizer.decode(tokens) - - def decode_batch(self, token_lists): - """Decode a list of token lists into a list of strings.""" - if torch.is_tensor(token_lists): - token_lists = token_lists.tolist() - return self.tokenizer.decode_batch(token_lists) diff --git a/models/components/tokenizers/gpt2.py b/models/components/tokenizers/gpt2.py deleted file mode 100644 index a753b754..00000000 --- a/models/components/tokenizers/gpt2.py +++ /dev/null @@ -1,41 +0,0 @@ -""" -A simple wrapper around the GPT2 Tokenizer to -standardize the interface for tokenization. -""" - -import tiktoken -import torch - -from models.components.tokenizers.base_class import Tokenizer - - -class GPT2Tokenizer(Tokenizer): - """A simple wrapper around the GPT2 Tokenizer.""" - - def __init__(self, **_): - super().__init__() - self.tokenizer = tiktoken.get_encoding("gpt2") - self.eot_token = self.tokenizer.eot_token - self.pad_token = self.tokenizer.eot_token - self.vocab_size = self.tokenizer.max_token_value + 1 - - def encode(self, text): - """Encode a string into tokens.""" - return self.tokenizer.encode_ordinary(text) - - def encode_batch(self, texts): - """Encode a list of strings into tokens.""" - return self.tokenizer.encode_ordinary_batch(texts) - - def decode(self, tokens): - """Decode a list of tokens into a string.""" - # check if the tokens are a tensor - if torch.is_tensor(tokens): - tokens = tokens.tolist() - return self.tokenizer.decode(tokens) - - def decode_batch(self, token_lists): - """Decode a list of token lists into a list of strings.""" - if torch.is_tensor(token_lists): - token_lists = token_lists.tolist() - return self.tokenizer.decode_batch(token_lists) diff --git a/models/components/tokenizers/llama_30k.py b/models/components/tokenizers/llama_30k.py deleted file mode 100644 index 30f30f46..00000000 --- a/models/components/tokenizers/llama_30k.py +++ /dev/null @@ -1,41 +0,0 @@ -""" -A simple wrapper around the LLaMA Tokenizer to -standardize the interface for tokenization. -32_001 vocab size -""" - - -import torch -from transformers import AutoTokenizer -from models.components.tokenizers.base_class import Tokenizer - -class LLaMATokenizer(Tokenizer): - """A simple wrapper around a LLaMA-based Tokenizer.""" - - def __init__(self, **_): - super().__init__() - model_name_or_path = "chavinlo/alpaca-native" - self.tokenizer = AutoTokenizer.from_pretrained(model_name_or_path) - self.eot_token = self.tokenizer.eos_token_id - self.pad_token = self.tokenizer.pad_token_id - self.vocab_size = self.tokenizer.vocab_size - - def encode(self, text): - """Encode a string into tokens.""" - return self.tokenizer.encode(text, add_special_tokens=False) - - def encode_batch(self, texts): - """Encode a list of strings into tokens.""" - return [self.encode(text) for text in texts] - - def decode(self, tokens): - """Decode a list of tokens into a string.""" - if torch.is_tensor(tokens): - tokens = tokens.tolist() - return self.tokenizer.decode(tokens) - - def decode_batch(self, token_lists): - """Decode a list of token lists into a list of strings.""" - if torch.is_tensor(token_lists): - token_lists = token_lists.tolist() - return [self.decode(tokens) for tokens in token_lists] diff --git a/models/components/tokenizers/opt.py b/models/components/tokenizers/opt.py deleted file mode 100644 index 2e6bb934..00000000 --- a/models/components/tokenizers/opt.py +++ /dev/null @@ -1,41 +0,0 @@ -""" -A simple wrapper around the OPT Tokenizer to -standardize the interface for tokenization. -""" - -import torch -from transformers import AutoTokenizer -from models.components.tokenizers.base_class import Tokenizer - -class OPTTokenizer(Tokenizer): - """A simple wrapper around the OPT Tokenizer.""" - - def __init__(self, **_): - super().__init__() - # Hardcoded model name or path from Hugging Face - model_name_or_path = "facebook/opt-1.3b" - self.tokenizer = AutoTokenizer.from_pretrained(model_name_or_path) - self.eot_token = self.tokenizer.eos_token_id - self.pad_token = self.tokenizer.pad_token_id - self.vocab_size = self.tokenizer.vocab_size - - def encode(self, text): - """Encode a string into tokens.""" - return self.tokenizer.encode(text, add_special_tokens=False) - - def encode_batch(self, texts): - """Encode a list of strings into tokens.""" - return [self.encode(text) for text in texts] - - def decode(self, tokens): - """Decode a list of tokens into a string.""" - # Check if the tokens are a tensor - if torch.is_tensor(tokens): - tokens = tokens.tolist() - return self.tokenizer.decode(tokens) - - def decode_batch(self, token_lists): - """Decode a list of token lists into a list of strings.""" - if torch.is_tensor(token_lists): - token_lists = token_lists.tolist() - return [self.decode(tokens) for tokens in token_lists] diff --git a/models/components/tokenizers/p50k.py b/models/components/tokenizers/p50k.py deleted file mode 100644 index 2a66fc4b..00000000 --- a/models/components/tokenizers/p50k.py +++ /dev/null @@ -1,41 +0,0 @@ -""" -A simple wrapper around the GPT2 Tokenizer to -standardize the interface for tokenization. -""" - -import tiktoken -import torch - -from models.components.tokenizers.base_class import Tokenizer - - -class P50KTokenizer(Tokenizer): - """A simple wrapper around the GPT2 Tokenizer.""" - - def __init__(self, **_): - super().__init__() - self.tokenizer = tiktoken.get_encoding("p50k_base") - self.eot_token = self.tokenizer.eot_token - self.pad_token = self.tokenizer.eot_token - self.vocab_size = self.tokenizer.max_token_value + 1 - - def encode(self, text): - """Encode a string into tokens.""" - return self.tokenizer.encode_ordinary(text) - - def encode_batch(self, texts): - """Encode a list of strings into tokens.""" - return self.tokenizer.encode_ordinary_batch(texts) - - def decode(self, tokens): - """Decode a list of tokens into a string.""" - # check if the tokens are a tensor - if torch.is_tensor(tokens): - tokens = tokens.tolist() - return self.tokenizer.decode(tokens) - - def decode_batch(self, token_lists): - """Decode a list of token lists into a list of strings.""" - if torch.is_tensor(token_lists): - token_lists = token_lists.tolist() - return self.tokenizer.decode_batch(token_lists) diff --git a/models/components/tokenizers/setup.py b/models/components/tokenizers/setup.py deleted file mode 100644 index 7b057274..00000000 --- a/models/components/tokenizers/setup.py +++ /dev/null @@ -1,39 +0,0 @@ -""" -A script for building the various tokenizers. -""" - -from models.components.tokenizers.base_class import Tokenizer -from models.components.tokenizers.bpe import BPETokenizer -from models.components.tokenizers.gpt2 import GPT2Tokenizer -from models.components.tokenizers.ck100k import CL100KTokenizer -from models.components.tokenizers.p50k import P50KTokenizer -from models.components.tokenizers.llama_30k import LLaMATokenizer -from models.components.tokenizers.opt import OPTTokenizer -from models.components.tokenizers.bpe_subsampled import BPESubsampledTokenizer -from models.components.tokenizers.bpe_retrain import BPERetrainTokenizer - -TOKENIZER_DICT = { - "gpt2": lambda vocab_size, dataset_name: GPT2Tokenizer(), - "bpe": lambda vocab_size, dataset_name: BPETokenizer( - vocab_size=vocab_size, dataset_name=dataset_name - ), - "cl100k": lambda vocab_size, dataset_name: CL100KTokenizer(), - "p50k": lambda vocab_size, dataset_name: P50KTokenizer(), - "llama_30k": lambda vocab_size, dataset_name: LLaMATokenizer(), - "opt": lambda vocab_size, dataset_name: OPTTokenizer(), - "bpe-subsampled": lambda vocab_size, dataset_name: BPESubsampledTokenizer( - vocab_size=vocab_size - ), - "bpe-retrain": lambda vocab_size, dataset_name: BPERetrainTokenizer( - vocab_size=vocab_size, dataset_name=dataset_name - ), -} - - -def build_tokenizer(tokenizer_type, vocab_size, dataset_name) -> Tokenizer: - """ - Build the tokenizer. - """ - return TOKENIZER_DICT[tokenizer_type]( - vocab_size=vocab_size, dataset_name=dataset_name - ) diff --git a/models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_258.model b/models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_258.model deleted file mode 100644 index e69de29b..00000000 diff --git a/models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_258.vocab b/models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_258.vocab deleted file mode 100644 index 89cacc74..00000000 --- a/models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_258.vocab +++ /dev/null @@ -1,258 +0,0 @@ -[\u0000] 0 -[\u0001] 1 -[\u0002] 2 -[\u0003] 3 -[\u0004] 4 -[\u0005] 5 -[\u0006] 6 -[\u0007] 7 -[\u0008] 8 -[\u0009] 9 -[\u000a] 10 -[\u000b] 11 -[\u000c] 12 -[\u000d] 13 -[\u000e] 14 -[\u000f] 15 -[\u0010] 16 -[\u0011] 17 -[\u0012] 18 -[\u0013] 19 -[\u0014] 20 -[\u0015] 21 -[\u0016] 22 -[\u0017] 23 -[\u0018] 24 -[\u0019] 25 -[\u001a] 26 -[\u001b] 27 -[\u001c] 28 -[\u001d] 29 -[\u001e] 30 -[\u001f] 31 -[ ] 32 -[!] 33 -["] 34 -[#] 35 -[$] 36 -[%] 37 -[&] 38 -['] 39 -[(] 40 -[)] 41 -[*] 42 -[+] 43 -[,] 44 -[-] 45 -[.] 46 -[/] 47 -[0] 48 -[1] 49 -[2] 50 -[3] 51 -[4] 52 -[5] 53 -[6] 54 -[7] 55 -[8] 56 -[9] 57 -[:] 58 -[;] 59 -[<] 60 -[=] 61 -[>] 62 -[?] 63 -[@] 64 -[A] 65 -[B] 66 -[C] 67 -[D] 68 -[E] 69 -[F] 70 -[G] 71 -[H] 72 -[I] 73 -[J] 74 -[K] 75 -[L] 76 -[M] 77 -[N] 78 -[O] 79 -[P] 80 -[Q] 81 -[R] 82 -[S] 83 -[T] 84 -[U] 85 -[V] 86 -[W] 87 -[X] 88 -[Y] 89 -[Z] 90 -[[] 91 -[\] 92 -[]] 93 -[^] 94 -[_] 95 -[`] 96 -[a] 97 -[b] 98 -[c] 99 -[d] 100 -[e] 101 -[f] 102 -[g] 103 -[h] 104 -[i] 105 -[j] 106 -[k] 107 -[l] 108 -[m] 109 -[n] 110 -[o] 111 -[p] 112 -[q] 113 -[r] 114 -[s] 115 -[t] 116 -[u] 117 -[v] 118 -[w] 119 -[x] 120 -[y] 121 -[z] 122 -[{] 123 -[|] 124 -[}] 125 -[~] 126 -[\u007f] 127 -[�] 128 -[�] 129 -[�] 130 -[�] 131 -[�] 132 -[�] 133 -[�] 134 -[�] 135 -[�] 136 -[�] 137 -[�] 138 -[�] 139 -[�] 140 -[�] 141 -[�] 142 -[�] 143 -[�] 144 -[�] 145 -[�] 146 -[�] 147 -[�] 148 -[�] 149 -[�] 150 -[�] 151 -[�] 152 -[�] 153 -[�] 154 -[�] 155 -[�] 156 -[�] 157 -[�] 158 -[�] 159 -[�] 160 -[�] 161 -[�] 162 -[�] 163 -[�] 164 -[�] 165 -[�] 166 -[�] 167 -[�] 168 -[�] 169 -[�] 170 -[�] 171 -[�] 172 -[�] 173 -[�] 174 -[�] 175 -[�] 176 -[�] 177 -[�] 178 -[�] 179 -[�] 180 -[�] 181 -[�] 182 -[�] 183 -[�] 184 -[�] 185 -[�] 186 -[�] 187 -[�] 188 -[�] 189 -[�] 190 -[�] 191 -[�] 192 -[�] 193 -[�] 194 -[�] 195 -[�] 196 -[�] 197 -[�] 198 -[�] 199 -[�] 200 -[�] 201 -[�] 202 -[�] 203 -[�] 204 -[�] 205 -[�] 206 -[�] 207 -[�] 208 -[�] 209 -[�] 210 -[�] 211 -[�] 212 -[�] 213 -[�] 214 -[�] 215 -[�] 216 -[�] 217 -[�] 218 -[�] 219 -[�] 220 -[�] 221 -[�] 222 -[�] 223 -[�] 224 -[�] 225 -[�] 226 -[�] 227 -[�] 228 -[�] 229 -[�] 230 -[�] 231 -[�] 232 -[�] 233 -[�] 234 -[�] 235 -[�] 236 -[�] 237 -[�] 238 -[�] 239 -[�] 240 -[�] 241 -[�] 242 -[�] 243 -[�] 244 -[�] 245 -[�] 246 -[�] 247 -[�] 248 -[�] 249 -[�] 250 -[�] 251 -[�] 252 -[�] 253 -[�] 254 -[�] 255 -[<|pad|>] 256 -[<|endoftext|>] 257 diff --git a/models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_259.vocab b/models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_259.vocab deleted file mode 100644 index a55ce0d5..00000000 --- a/models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_259.vocab +++ /dev/null @@ -1,259 +0,0 @@ -[\u0000] 0 -[\u0001] 1 -[\u0002] 2 -[\u0003] 3 -[\u0004] 4 -[\u0005] 5 -[\u0006] 6 -[\u0007] 7 -[\u0008] 8 -[\u0009] 9 -[\u000a] 10 -[\u000b] 11 -[\u000c] 12 -[\u000d] 13 -[\u000e] 14 -[\u000f] 15 -[\u0010] 16 -[\u0011] 17 -[\u0012] 18 -[\u0013] 19 -[\u0014] 20 -[\u0015] 21 -[\u0016] 22 -[\u0017] 23 -[\u0018] 24 -[\u0019] 25 -[\u001a] 26 -[\u001b] 27 -[\u001c] 28 -[\u001d] 29 -[\u001e] 30 -[\u001f] 31 -[ ] 32 -[!] 33 -["] 34 -[#] 35 -[$] 36 -[%] 37 -[&] 38 -['] 39 -[(] 40 -[)] 41 -[*] 42 -[+] 43 -[,] 44 -[-] 45 -[.] 46 -[/] 47 -[0] 48 -[1] 49 -[2] 50 -[3] 51 -[4] 52 -[5] 53 -[6] 54 -[7] 55 -[8] 56 -[9] 57 -[:] 58 -[;] 59 -[<] 60 -[=] 61 -[>] 62 -[?] 63 -[@] 64 -[A] 65 -[B] 66 -[C] 67 -[D] 68 -[E] 69 -[F] 70 -[G] 71 -[H] 72 -[I] 73 -[J] 74 -[K] 75 -[L] 76 -[M] 77 -[N] 78 -[O] 79 -[P] 80 -[Q] 81 -[R] 82 -[S] 83 -[T] 84 -[U] 85 -[V] 86 -[W] 87 -[X] 88 -[Y] 89 -[Z] 90 -[[] 91 -[\] 92 -[]] 93 -[^] 94 -[_] 95 -[`] 96 -[a] 97 -[b] 98 -[c] 99 -[d] 100 -[e] 101 -[f] 102 -[g] 103 -[h] 104 -[i] 105 -[j] 106 -[k] 107 -[l] 108 -[m] 109 -[n] 110 -[o] 111 -[p] 112 -[q] 113 -[r] 114 -[s] 115 -[t] 116 -[u] 117 -[v] 118 -[w] 119 -[x] 120 -[y] 121 -[z] 122 -[{] 123 -[|] 124 -[}] 125 -[~] 126 -[\u007f] 127 -[�] 128 -[�] 129 -[�] 130 -[�] 131 -[�] 132 -[�] 133 -[�] 134 -[�] 135 -[�] 136 -[�] 137 -[�] 138 -[�] 139 -[�] 140 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-[�] 252 -[�] 253 -[�] 254 -[�] 255 -[e][ ] -> [e ] 256 -[<|pad|>] 257 -[<|endoftext|>] 258 diff --git a/models/components/tokenizers/utils.py b/models/components/tokenizers/utils.py deleted file mode 100644 index dabef659..00000000 --- a/models/components/tokenizers/utils.py +++ /dev/null @@ -1,99 +0,0 @@ -""" -A collection of utils for the tokenizers. -""" - -import os -import unicodedata -from collections import Counter - -import hydra # to get the absolute path to the tokenizer - - -import os - -def get_tokenizer_path(tokenizer_type, vocab_size, dataset_name): - """ - Get the path to the tokenizer. - """ - # Get the project root directory - project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..')) - - tokenizer_folder = os.path.join( - project_root, "components", "tokenizers", "tokenizer_models" - ) - tokenizer_full_path = os.path.join( - tokenizer_folder, f"{tokenizer_type}_{dataset_name}_{vocab_size}.model" - ) - return tokenizer_folder, tokenizer_full_path - - -def check_if_tokenizer_exists(tokenizer_type, vocab_size, dataset_name): - """ - Check if the tokenizer already exists. - """ - _, tokenizer_path = get_tokenizer_path(tokenizer_type, vocab_size, dataset_name) - return os.path.exists(tokenizer_path) - - -def get_stats(ids): - """Return a Counter object of the token pairs.""" - return Counter(zip(ids, ids[1:])) - - -def multi_merge(ids, pairs): - """Merge multiple pairs of tokens in a list of token ids.""" - skip = False - newids = [ - ( - pairs[(ids[i], ids[i + 1])] - if (ids[i], ids[i + 1]) in pairs and (skip := True) - else ids[i] - ) - for i in range(len(ids) - 1) - if not skip or (skip := False) - ] - if not skip: # if the last pair was not replaced, append the last token - newids.append(ids[-1]) - return newids - - -def merge(ids, pair, idx): - """Merge a pair of tokens in a list of token ids.""" - skip = False - newids = [ - ( - idx - if (ids[i] == pair[0] and ids[i + 1] == pair[1] and (skip := True)) - else ids[i] - ) - for i in range(len(ids) - 1) - if not skip or (skip := False) - ] - if not skip: # if the last pair was not replaced, append the last token - newids.append(ids[-1]) - return newids - - -def replace_control_characters(s: str) -> str: - """Replace control characters with their unicode escape sequence. - - This is useful when printing tokens, as - we don't want to print control characters - which distort the output (e.g. \n or much worse) - https://stackoverflow.com/questions/4324790/removing-control-characters-from-a-string-in-python/19016117#19016117 - http://www.unicode.org/reports/tr44/#GC_Values_Table - """ - chars = [] - for ch in s: - if unicodedata.category(ch)[0] != "C": - chars.append(ch) # this character is ok - else: - chars.append(f"\\u{ord(ch):04x}") # escape - return "".join(chars) - - -def render_token(t: bytes) -> str: - """Pretty print a token, escaping control characters.""" - s = t.decode("utf-8", errors="replace") - s = replace_control_characters(s) - return s diff --git a/models/core_models.py b/models/core_models.py index 222551c8..8f56f803 100644 --- a/models/core_models.py +++ b/models/core_models.py @@ -26,15 +26,36 @@ def __init__(self, model_cfg): hidden_dim=model_cfg["hidden_dim"], context_window=model_cfg["context_window"], use_rope=model_cfg["positional_encoding_type"] == "rope", - ffn_cfg=model_cfg["core_model"]["ffn"], - attn_cfg=model_cfg["core_model"]["attn"], + ffn_cfg=model_cfg["ffn"], + attn_cfg=model_cfg["attn"], ) - for _ in range(model_cfg["core_model"]["num_layers"]) + for _ in range(model_cfg["num_layers"]) ] ), } ) + if model_cfg.get("ffn_weight_tying", False): # Default: False + # Share the weights between all FFN blocks, similar to: + # https://arxiv.org/abs/2402.16840 + ffn_0 = self.transformer.h[0].ffn + for i in range(1, len(self.transformer.h)): + for name, module in ffn_0.named_modules(): + if isinstance(module, torch.nn.Linear): + target_module = dict(self.transformer.h[i].ffn.named_modules())[name] + target_module.weight = module.weight + target_module.bias = module.bias + + if model_cfg.get("cproj_weight_tying", False): # Default: False + # Share the weights between all CProj blocks + cproj_0 = self.transformer.h[0].attn.c_proj + for i in range(1, len(self.transformer.h)): + for name, module in cproj_0.named_modules(): + if isinstance(module, torch.nn.Linear): + target_module = dict(self.transformer.h[i].attn.c_proj.named_modules())[name] + target_module.weight = module.weight + target_module.bias = module.bias + def forward(self, x): """ Pass an input through the model @@ -54,79 +75,3 @@ def forward(self, x): return x -class GenericFFNSharedTransfomer(GenericTransformer): - """ - Generic Transformer Class that shares the weights - between all FFN blocks (similar to - https://arxiv.org/abs/2402.16840). - """ - - def __init__(self, model_cfg): - super().__init__(model_cfg=model_cfg) - - # share the weights between transformer blocks - ffn_0 = self.transformer.h[0].ffn - - for i in range(1, len(self.transformer.h)): - # find all linear layers in the ffn subnets and tie them to the first layer - for name, module in ffn_0.named_modules(): - if isinstance(module, torch.nn.Linear): - target_module = dict(self.transformer.h[i].ffn.named_modules())[ - name - ] - target_module.weight = module.weight - target_module.bias = module.bias - -class GenericCProjSharedTransfomer(GenericTransformer): - """ - Generic Transformer Class that shares the weights - between all CProj blocks - """ - - def __init__(self, model_cfg): - super().__init__(model_cfg=model_cfg) - - # share the weights between transformer blocks - cproj_0 = self.transformer.h[0].attn.c_proj - - for i in range(1, len(self.transformer.h)): - # find all linear layers in the cproj subnets and tie them to the first layer - for name, module in cproj_0.named_modules(): - if isinstance(module, torch.nn.Linear): - target_module = dict(self.transformer.h[i].attn.c_proj.named_modules())[ - name - ] - target_module.weight = module.weight - target_module.bias = module.bias - - -class GenericCProjFFNSharedTransfomer(GenericTransformer): - """ - Share the weights between the CProj and FFN blocks - """ - - def __init__(self, model_cfg): - super().__init__(model_cfg=model_cfg) - - # share the weights between transformer blocks - cproj_0 = self.transformer.h[0].attn.c_proj - ffn_0 = self.transformer.h[0].ffn - - for i in range(1, len(self.transformer.h)): - # find all linear layers in the cproj subnets and tie them to the first layer - for name, module in cproj_0.named_modules(): - if isinstance(module, torch.nn.Linear): - target_module = dict(self.transformer.h[i].attn.c_proj.named_modules())[ - name - ] - target_module.weight = module.weight - target_module.bias = module.bias - - # find all linear layers in the ffn subnets and tie them to the first layer - for name, module in ffn_0.named_modules(): - if isinstance(module, torch.nn.Linear): - target_module = dict(self.transformer.h[i].ffn.named_modules())[ - name - ] - target_module.weight = module.weight - target_module.bias = module.bias diff --git a/models/embedding_models.py b/models/embedding_models.py index c7892203..651eed28 100644 --- a/models/embedding_models.py +++ b/models/embedding_models.py @@ -7,7 +7,7 @@ import torch from models.components.positional_encoding import build_positional_encodings -from models.components.tokenizers import build_tokenizer +from models.components.layers.tokenizers import build_tokenizer class EmbedderInterface(torch.nn.Module): @@ -99,9 +99,9 @@ def __init__(self, model_cfg): super().__init__() # build the tokenizer self.tokenizer = build_tokenizer( - tokenizer_type=model_cfg["embedder"]["tokenizer_type"], - vocab_size=model_cfg["vocab_size"], - dataset_name=model_cfg["embedder"]["dataset_name"], + tokenizer_type=model_cfg["tokenizer_type"], + vocab_size=model_cfg.get("vocab_size", None), + dataset_name=model_cfg.get("tokenizer_dataset_name", None), ) # build the token embeddings @@ -115,6 +115,8 @@ def __init__(self, model_cfg): self.eot_token = self.tokenizer.eot_token self.model_cfg = model_cfg + self.dropout = torch.nn.Dropout(p=model_cfg.get("embedding_dropout", 0.0)) + def forward(self, token_ids): """ Takes the token_ids as input diff --git a/models/experimental/byte_level/embedding_model.py b/models/experimental/byte_level/embedding_model.py index f0c12cc2..d2afdc9b 100644 --- a/models/experimental/byte_level/embedding_model.py +++ b/models/experimental/byte_level/embedding_model.py @@ -7,7 +7,7 @@ import torch from models.components.positional_encoding import LearnedPosEncoding -from models.components.tokenizers import build_tokenizer +from models.components.layers.tokenizers import build_tokenizer from models.embedding_models import EmbedderInterface from models.experimental.byte_level.layers import ByteLevelTransformerBlock diff --git a/models/experimental/hugging_face.py b/models/experimental/hugging_face.py index 46837bb6..34a8e8d9 100644 --- a/models/experimental/hugging_face.py +++ b/models/experimental/hugging_face.py @@ -4,7 +4,7 @@ import torch from transformers import AutoModelForCausalLM, AutoTokenizer -from models.components.tokenizers.base_class import Tokenizer +from models.components.layers.tokenizers import TokenizerClass from models.embedding_models import EmbedderInterface from models.model_shell import ModelShell from trainers.base_trainer import BaseTrainer @@ -34,7 +34,7 @@ def build_model(model_cfg): return model -class HFTokenizerWrapper(Tokenizer): +class HFTokenizerWrapper(TokenizerClass): def __init__(self, hf_tokenizer_name): self.hf_tokenizer = AutoTokenizer.from_pretrained(hf_tokenizer_name) self.eot_token = self.hf_tokenizer.eos_token_id @@ -129,10 +129,11 @@ def __init__(self, model_cfg): super().__init__() self.model = build_model(model_cfg = model_cfg) - ## freeze the parameters - print("Note: Freezing the parameters of the hf_core model.") - for param in self.model.parameters(): - param.requires_grad = False + if model_cfg.get("freeze", True): + ## freeze the parameters + print("Note: Freezing the parameters of the hf_core model.") + for param in self.model.parameters(): + param.requires_grad = False def forward(self, x): """ diff --git a/models/experimental/next_thought/embedding_models.py b/models/experimental/next_thought/embedding_models.py index c958fd54..c05a3c1a 100644 --- a/models/experimental/next_thought/embedding_models.py +++ b/models/experimental/next_thought/embedding_models.py @@ -7,7 +7,7 @@ from models.components.layers.transformer_blocks import GenericTransformerBlock from models.components.positional_encoding import build_positional_encodings -from models.components.tokenizers import build_tokenizer +from models.components.layers.tokenizers import build_tokenizer # import local components diff --git a/models/model_heads.py b/models/model_heads.py index ab1eb107..f5e94221 100644 --- a/models/model_heads.py +++ b/models/model_heads.py @@ -15,14 +15,17 @@ class AutoregressiveLMHead(torch.nn.Module): def __init__(self, model_cfg): super().__init__() self.layer_norm = build_normalization( - normalization_name=model_cfg["lm_head"]["normalization"], + normalization_name=model_cfg["lm_head_normalization"], dim=model_cfg["hidden_dim"], - bias=model_cfg["lm_head"]["bias"], + bias=model_cfg["lm_head_bias"], ) self.linear = torch.nn.Linear( in_features=model_cfg["hidden_dim"], out_features=model_cfg["vocab_size"], - bias=model_cfg["lm_head"]["bias"], + bias=model_cfg["lm_head_bias"], + ) + self.dropout = torch.nn.Dropout( + p=model_cfg.get("lm_head_dropout", 0.0) # Default is no Dropout ) def forward(self, x): @@ -37,6 +40,9 @@ def forward(self, x): # apply layer norm x = self.layer_norm(x) + # apply dropout if necessary + x = self.dropout(x) + # pass through the linear layer x = self.linear(x) diff --git a/models/model_shell.py b/models/model_shell.py index d89ad149..a3144673 100644 --- a/models/model_shell.py +++ b/models/model_shell.py @@ -11,26 +11,32 @@ class ModelShell(torch.nn.Module): """ - Unify the embedding model, core model and LM head + Unify the embedding model, core model and LM head into a single object; initializes the weights and prints basic model statistics. """ def __init__( self, + model_cfg, embedding_model: embedding_models.EmbedderInterface, core_model: core_models.GenericTransformer, model_head: model_heads.AutoregressiveLMHead, - weight_init_func=None, ): super().__init__() self.embedding_model = embedding_model self.core_model = core_model self.model_head = model_head - # initialize model weights - if weight_init_func is not None: - self.apply(weight_init_func) + + # check if embedding model weights are to be shared with the model head + if model_cfg.get("embedding_weight_tying", True): + # share the weights between the token embeddings and the final + # logit layer, following: https://paperswithcode.com/method/weight-tying + assert model_head.linear.weight.shape == embedding_model.token_embedder.weight.shape, \ + "The embedding model and the model head should have the same output dimension." + embedding_model.token_embedder.weight = model_head.linear.weight + self.device = ... # override to device to set the attribute @@ -82,29 +88,6 @@ def inference(self, model_input): logits = self.model_head.inference(x) return logits, model_input - - @torch.no_grad() - def generate(self, model_input, max_length=100): - """ - Generate a sequence of tokens given a prompt. - Args: - model_input: str or torch.tensor(B, S) - max_length: int - Returns: - tokens: list[int] - """ - # tokenize the input - tokens = self.embedding_model.tokenize_input(model_input, truncate=True, add_eot=False) - - while len(tokens) < max_length: - # generate the next token - logits, _ = self.inference(tokens) - next_token = torch.argmax(logits[:, -1], dim=-1) - tokens.append(next_token.item()) - if next_token == self.embedding_model.eot_token: - break - - return tokens @torch.no_grad() def loglikelihood(self, prefixes, continuations): diff --git a/models/utils.py b/models/utils.py index 57cbf3dd..1f08f014 100644 --- a/models/utils.py +++ b/models/utils.py @@ -64,3 +64,5 @@ def format_number(n): # Print the table print(df.to_string(index=False)) + + return format_number(total_params) diff --git a/pytest.ini b/pytest.ini deleted file mode 100644 index e69de29b..00000000 diff --git a/train.py b/train.py index 4064cbb6..6ccb1a8a 100644 --- a/train.py +++ b/train.py @@ -8,14 +8,15 @@ from models.build_models import build_model from trainers.build_trainers import build_trainer, ddp_setup from trainers import base_trainer -from trainers.utils import create_folder_structure, init_print_override, restore_print_override -from models.utils import print_model_stats +from SuperTinyLanguageModels.trainers.data_utils import create_folder_structure, init_print_override, restore_print_override + import torch from torch.distributed import destroy_process_group import torch.multiprocessing as mp from trainers.prepare import prepare_data + def ddp_main(rank, world_size, cfg): """ Main function for distributed training @@ -36,7 +37,6 @@ def ddp_main(rank, world_size, cfg): model.to(cfg["general"]["device"]) model.train() print(f"Rank{rank} Model built") - print_model_stats(model) # load the relevant trainer trainer: base_trainer.BaseTrainer = build_trainer( cfg=cfg, @@ -79,7 +79,7 @@ def basic_main(cfg): trainer.train() -@hydra.main(config_path="configs", config_name="train") +@hydra.main(config_path="configs/training_configs", config_name="baseline") def main(cfg): world_size = torch.cuda.device_count() diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 9c200886..db64338b 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -1,26 +1,20 @@ """Trainer class for training models with Next Token Prediction""" import time - -import torch import wandb from omegaconf import OmegaConf -from torch.profiler import ProfilerActivity, profile, record_function -from copy import deepcopy from contextlib import nullcontext -from models import model_shell -from trainers import datasets as train_dataloader -from trainers import utils - -from trainers.evaluator import train_eval, train_eval_text_modeling +# local imports +from trainers import data_utils +from trainers.evaluator import train_eval_mcq, train_eval_text_modeling +from trainers.utils import aggregate_value, print_evaluation_results +from models.utils import print_model_stats import numpy as np from itertools import islice +import torch from torch.nn.parallel import DistributedDataParallel as DDP -from torch.utils.data.distributed import DistributedSampler -from torch.utils.data import SequentialSampler -from trainers.utils import aggregate_value, print_evaluation_results # pylint: disable invalid-name @@ -33,17 +27,19 @@ class BaseTrainer: def __init__( self, cfg, - model: model_shell.ModelShell, + model, optimizer, train_dataloader, val_dataloader, loss_fn, gpu_id=None, lr_scheduler=None, - dropout_scheduler=None, current_iter=0, ) -> None: self.model = model + # print model stats and save them + total_params_formated = print_model_stats(model) + if gpu_id is not None: # using ddp self.dist = True self.DDP_model = DDP(self.model, device_ids=[gpu_id], find_unused_parameters=True) @@ -53,7 +49,6 @@ def __init__( self.gpu_id = gpu_id self.optimizer = optimizer self.lr_scheduler = lr_scheduler - self.dropout_scheduler = dropout_scheduler self.train_dataloader_iter = iter(train_dataloader) self.val_dataloader = val_dataloader self.loss_fn = loss_fn @@ -68,32 +63,40 @@ def __init__( self.scaler = None self.use_wandb = cfg["general"]["logging"]["wandb_log"] self.checkpoint_dir = cfg["general"]["paths"]["checkpoint_dir"] - self.cached_sets = {"train": {}, "val": {}} self.batch_size = cfg["trainer"]["training"]["batch_size"] ## new # For training, always force the device to be cuda #assert torch.cuda.is_available(), "CUDA must be available for training" self.ctx = self._setup_ctx() + + if self.use_wandb and (self.gpu_id == 0 or not self.dist): ## ensures that only the first GPU logs to wandb - self._setup_logging() - if cfg.trainer.training.run_profiler and (self.gpu_id == 0 or not self.dist): ## ensures that only the first GPU runs the profiler - self.run_profile() - raise SystemExit - - def _setup_logging(self): - # set run name - run_name = ( - f"{self.cfg.model['model_shell_type']}" - f"_{self.cfg.model['core_model']['core_model_type']}" - f"_{self.cfg.trainer['dataset']}_{self.cfg.model['embedder']['embedding_model_type']}" - f"_{self.cfg.model['vocab_size']}" - ) + self._setup_logging( + total_parameter_count_str=total_params_formated + ) + + + def _setup_logging(self, total_parameter_count_str=None): + # check if run_name was provided + if self.cfg["general"]["logging"]["run_name"] is not None: + run_name = self.cfg["general"]["logging"]["run_name"] + f" (Size: {total_parameter_count_str})" + else: + # provide a generic (hopefully descriptive) run name if none was provided + run_name = ( + f"{self.cfg.model['model_shell_type']}" + f"_{self.cfg.model['embedding_model_type']}" + f"_{self.cfg.model['core_model_type']}" + f"_{self.cfg.model['lm_head_type']}" + f"_{self.cfg.trainer['dataset']}" + f"_{self.cfg.model['vocab_size']}" + f"_Parameters_{total_parameter_count_str}" + ) + wandb.init( - project=self.cfg.general.logging.wandb_project, + project=self.cfg.general.logging.wandb_project, config=OmegaConf.to_container(self.cfg), name=run_name, ) - wandb.init(project=self.cfg.general.logging.wandb_project) print("wand_b_initted") def _setup_ctx(self): @@ -145,26 +148,32 @@ def estimate_performance(self, eval_iters=None): break avg_loss = aggregate_value(np.mean(losses), self.cfg.general.device) - eval_results["Loss"] = avg_loss + eval_results["Val. Loss"] = avg_loss avg_perplexity = aggregate_value(np.mean(perplexities), self.cfg.general.device) - eval_results["Perplexity"] = avg_perplexity - - - evaluator_results = {} - for evaluator in self.cfg.trainer["eval"]: - evaluator_results[evaluator["evaluator"]] = train_eval(evaluator, self.model) - # recurse over metrics to prepend the evaluator name as a prefix - relabeled_results = {} - for metric in evaluator_results[evaluator["evaluator"]]: - relabeled_results[f"{evaluator['evaluator']}/{metric}"] = evaluator_results[evaluator["evaluator"]][metric] - evaluator_results[evaluator["evaluator"]] = relabeled_results + eval_results["Val. Perplexity"] = avg_perplexity + + # get the mcq eval results + eval_results.update( + train_eval_mcq( + model=self.model, + num_samples=self.cfg["trainer"]["eval"].get("mcq_num_samples", None), + benchmark_list=self.cfg["trainer"]["eval"].get("mcq_benchmarks", []), + ) + ) + # get the text modeling eval results + eval_results.update( + train_eval_text_modeling( + model=self.model, + topic_list=self.cfg["trainer"]["eval"].get("text_modeling_topics", []), + eval_dir=self.cfg["general"]["paths"]["eval_dir"], + ) + ) - text_modeling_results = train_eval_text_modeling(self.model, eval_dir=self.cfg["general"]["paths"]["eval_dir"]) + # set model back into train mode self.model.train() - return eval_results, evaluator_results, text_modeling_results - + return eval_results def _run_step(self): @@ -210,42 +219,6 @@ def _run_step(self): return accumulated_loss - def run_profile(self): - """Run the profiler""" - utils.profilize(self.model) - with profile( - activities=[ - ProfilerActivity.CPU, - ProfilerActivity.CUDA, - ], - record_shapes=True, - profile_memory=True, - with_stack=True, - ) as prof: - for i in range(10): - if i <= 3: - self._run_step() ## set the 'epoch' to ensure shuffle - else: - with record_function("_run_step"): - self._run_step() ## set the 'epoch' to ensure shuffle - # place profile in dictionary - backwards_prof = prof.key_averages().table(sort_by="self_cpu_time_total") - print(backwards_prof) - with profile( - activities=[ - ProfilerActivity.CPU, - ProfilerActivity.CUDA, - ], - record_shapes=True, - profile_memory=True, - with_stack=True, - ) as prof: - self.estimate_performance(eval_iters=1) - with record_function("estimate_performance"): - self.estimate_performance(eval_iters=10) - # place profile in dictionary - forwards_prof = prof.key_averages().table(sort_by="self_cpu_time_total") - print(forwards_prof) def _save_model(self, iter_num=0): """ @@ -269,37 +242,32 @@ def run_training_loop(self): lr = self.lr_scheduler.step(self.optimizer, iter_num) else: lr = self.optimizer.param_groups[0]["lr"] - dropout = self.dropout_scheduler.step(self.model, iter_num) + # estimate the loss on the train/val sets if ( not iter_num % self.cfg.trainer.training.eval_interval ): # run on first iter to prevent bugs causing it to crash - eval_results, benchmark_results, text_modeling_results = self.estimate_performance() + eval_results = self.estimate_performance() # print the evals as table # evals format is d1: type d2: train/val print_evaluation_results( iter_num=iter_num, eval_results=eval_results, - benchmark_results=benchmark_results, - text_modeling_results=text_modeling_results + ) + + # extend eval results with general information + eval_results.update( + { + "iter": iter_num, + "lr": lr, + "token_num": self.batch_size*self.gradient_accumulation_steps*iter_num*self.cfg.model["context_window"], + } ) # Log to wandb if (self.gpu_id == 0 or self.gpu_id is None) and self.use_wandb: # ensure only the first GPU logs - log_dict = {"iter": iter_num, "lr": lr, "dropout": dropout, "sample_num": self.batch_size*self.gradient_accumulation_steps*iter_num} - log_dict.update(eval_results) # Directly add evals to the log dictionary - log_dict.update({k:v for k,v in benchmark_results.items()}) # Add benchmark results to the log dictionary - log_dict.update({f"text_modeling/{k}":v for k,v in text_modeling_results.items()}) - log_dict.update({ - f"text_modeling/{topic}-{difficulty}-{eval_metric}":text_modeling_results[topic][difficulty][eval_metric] - for topic in text_modeling_results.keys() - for difficulty in text_modeling_results[topic].keys() - for eval_metric in text_modeling_results[topic][difficulty].keys() - }) - - - wandb.log(log_dict) + wandb.log(eval_results) # save checkpoints if ( @@ -313,7 +281,7 @@ def run_training_loop(self): self._save_model(iter_num) - lossf = self._run_step() ## set the 'epoch' to ensure shuffle + lossf = self._run_step() end_time = time.time() if not iter_num % self.cfg.trainer.training.log_interval and iter_num > 0: ## uncomment the following line to print the loss on all GPUs @@ -330,14 +298,14 @@ def run_training_loop(self): "iter": iter_num, "loss": lossf, "lr": lr, - "dropout": dropout, + "token_num": self.batch_size*self.gradient_accumulation_steps*iter_num*self.cfg.model["context_window"], } ) # save the final model if self.gpu_id == 0 or self.gpu_id is None: ## ensure only the first GPU saves the model - self._save_model(iter_num) + self._save_model(iter_num+1) # just so it looks nicer def train(self, seed=42): """Train the model""" - utils.set_seed(seed) + data_utils.set_seed(seed) self.run_training_loop() diff --git a/trainers/build_trainers.py b/trainers/build_trainers.py index f0b619aa..b3a458b9 100644 --- a/trainers/build_trainers.py +++ b/trainers/build_trainers.py @@ -18,16 +18,12 @@ ) from trainers.loss_fn import ( cross_entropy_loss_fn, - masked_cross_entropy_loss_fn, next_token_mlm_loss_fn, ) from trainers.optimizer import configure_nanoGPT_optimizer from trainers.scheduler import ( CosineLRScheduler, - DropoutScheduler, - LinearDropoutScheduler, LRScheduler, - TriangleDropoutScheduler, ) @@ -76,7 +72,10 @@ def build_optimizer(model, optimizer_config): SCHEDULER_DICT = { "cosine": lambda trainer_cfg: CosineLRScheduler( warmup_iters=trainer_cfg["training"]["warmup_iters"], - decay_iters=trainer_cfg["training"]["lr_decay_iters"], + decay_iters=trainer_cfg["lr_scheduler"].get( + "lr_decay_iters", + trainer_cfg["training"]["total_iters"] + ), lr=trainer_cfg["optimizer"]["lr"], min_lr=trainer_cfg["optimizer"]["min_lr"], ), @@ -93,29 +92,6 @@ def build_lr_scheduler(trainer_cfg): return SCHEDULER_DICT[trainer_cfg["lr_scheduler"]["name"]](trainer_cfg=trainer_cfg) -def build_dropout_scheduler(trainer_cfg): - """ - Given the trainer config, build the dropout scheduler. - """ - if trainer_cfg["dropout_scheduler"]["dropout_type"] == "constant": - return DropoutScheduler(trainer_cfg["dropout_scheduler"]["dropout"]) - if trainer_cfg["dropout_scheduler"]["dropout_type"] == "linear": - return LinearDropoutScheduler( - start_dropout_p=trainer_cfg["dropout_scheduler"]["start_dropout_p"], - end_dropout_p=trainer_cfg["dropout_scheduler"]["end_dropout_p"], - start_iter=trainer_cfg["dropout_scheduler"]["start_iter"], - end_iter=trainer_cfg["dropout_scheduler"]["end_iter"], - ) - if trainer_cfg["dropout_scheduler"]["dropout_type"] == "triangle": - return TriangleDropoutScheduler( - dropout_trough=trainer_cfg["dropout_scheduler"]["dropout_trough"], - dropout_peak=trainer_cfg["dropout_scheduler"]["dropout_peak"], - num_iterations=trainer_cfg["dropout_scheduler"]["num_iterations"], - num_cycles=trainer_cfg["dropout_scheduler"]["num_cycles"], - ) - raise NotImplementedError( - f"dropout scheduler {trainer_cfg['dropout_scheduler']['dropout_type']} not implemented." - ) DATASET_DICT: dict[str, DatasetInterface] = { @@ -136,7 +112,6 @@ def build_dataset(cfg, split): LOSS_FN_DICT = { "cross_entropy": cross_entropy_loss_fn, "next_token_mlm": next_token_mlm_loss_fn, - "masked_cross_entropy": masked_cross_entropy_loss_fn, } @@ -165,9 +140,6 @@ def build_trainer(cfg, model, gpu_id, current_iter): # build LR scheduler lr_scheduler = build_lr_scheduler(trainer_cfg=cfg.trainer) - # build dropout scheduler - dropout_scheduler = build_dropout_scheduler(trainer_cfg=cfg.trainer) - # build dataloder train_dataset = build_dataset(cfg=cfg, split="train") val_dataset = build_dataset(cfg=cfg, split="val") @@ -196,7 +168,6 @@ def build_trainer(cfg, model, gpu_id, current_iter): model=model, optimizer=optimizer, lr_scheduler=lr_scheduler, - dropout_scheduler=dropout_scheduler, train_dataloader=train_dataloader, val_dataloader=val_dataloader, loss_fn=loss_fn, diff --git a/trainers/data_utils.py b/trainers/data_utils.py new file mode 100644 index 00000000..bb4e48e3 --- /dev/null +++ b/trainers/data_utils.py @@ -0,0 +1,114 @@ +"""Utilities for data""" + +import numpy as np +from datasets import load_dataset, DatasetDict, concatenate_datasets +from datasets import Features, Value + + +DATASET_DICT = { + "simple_en_wiki": lambda: load_dataset("wikimedia/wikipedia", "20231101.simple"), + "en_wiki": lambda: load_dataset("wikimedia/wikipedia", "20231101.en"), + "babylm_100m": lambda: load_dataset("Sree1994/babylm_100M"), + "tinystories": lambda: load_dataset("roneneldan/TinyStories"), + "openwebtext": lambda: load_dataset("Skylion007/openwebtext", trust_remote_code=True), + "pints": lambda: load_dataset("pints-ai/Expository-Prose-V1"), + "the_pile": lambda: load_dataset("The Pile", "pile-cc"), + "tiny_textbooks": lambda: load_dataset("nampdn-ai/tiny-textbooks"), + "tiny_webtext": lambda: load_dataset("nampdn-ai/tiny-webtext"), + "tiny_bridgedict": lambda: load_dataset("nampdn-ai/tiny-bridgedict"), + "mini_fineweb": lambda: load_dataset("nampdn-ai/mini-fineweb"), + "openhermes-2.5": lambda: load_general_dataset( + dataset_name="teknium/OpenHermes-2.5", + lambda_fn=lambda x: {"text": f"Question: {x['conversations'][0]['value']}\nAnswers: {x['conversations'][1]['value']}"}, + ), + "github-code": lambda: load_general_dataset( + dataset_name="codeparrot/github-code", + lambda_fn=lambda x: {"text": x["code"]} + ), + "competition_math": lambda: load_general_dataset( + dataset_name="hendrycks/competition_math", + lambda_fn=lambda x: {"text": f"Problem: {x['problem']}\nSolution: {x['solution']}"} + ), + "super_natural_instructions": lambda: load_general_dataset( + dataset_name="andersonbcdefg/supernatural-instructions-2m", + lambda_fn=lambda x: {"text": f"Question: {x['prompt']}\nAnswer: {x['response']}"} + ), + "tiny_codes": lambda: load_general_dataset( + dataset_name="nampdn-ai/tiny-codes", + lambda_fn=lambda x: {"text": f"Question: {x['prompt']}\nAnswer: {x['response']}"} + ), + "tiny_orca_textbooks": lambda: load_general_dataset( + dataset_name="nampdn-ai/tiny-orca-textbooks", + lambda_fn=lambda x: {"text": f"{x['textbook']}\n Question: {x['question']}\nAnswer: {x['response']}"} + ), + "tiny_lessons": lambda: load_general_dataset( + dataset_name="nampdn-ai/tiny-lessons", + lambda_fn=lambda x: {"text": x['textbook']} + ), + "mini_cot": lambda: load_general_dataset( + dataset_name="nampdn-ai/mini-CoT-Collection", + lambda_fn=lambda x: {"text": f"Question: {x['source']}\nAnswer: {x['rationale']} - {x['target']}"} + ), + "mini_ultrachat": lambda: load_general_dataset( + dataset_name="nampdn-ai/mini-ultrachat", + lambda_fn=lambda x: { + "text": "".join( + [ + f"Question: {t}" + if i % 2 == 0 else f"Answer: {t}" + for i, t in enumerate(x['data']) + ] + ) + } + ), + "textbooks_are_all_you_need_lite": lambda: load_general_dataset( + dataset_name="SciPhi/textbooks-are-all-you-need-lite", + lambda_fn=lambda x: {"text": x["completion"]} + ), + "openphi_textbooks": lambda: load_general_dataset( + dataset_name="open-phi/textbooks", + lambda_fn=lambda x: {"text": x["markdown"]} + ), + "openphi_programming_books": lambda: load_general_dataset( + dataset_name="open-phi/programming_books_llama", + lambda_fn=lambda x: {"text": x["markdown"]} + ), + "natural_instructions": lambda: load_general_dataset( + dataset_name="Muennighoff/natural-instructions", + lambda_fn=lambda x: {"text": f"Task: Definition: {x['definition']}\nQuestion: {x['inputs']}\nAnswer: {x['targets']}"} + ) + + +} + + +def load_general_dataset(dataset_name, lambda_fn): + """ + load and re-format a huggingface dataset + """ + dataset = load_dataset(dataset_name) + dataset = dataset.map(lambda_fn) + return dataset + +def get_dataset_byte_size(dataset): + """ + Get the byte size of a dataset + """ + return sum([len(item["text"]) for item in dataset]) + + +def load_data(dataset_name, shuffle=True): + """Load the data""" + assert dataset_name in DATASET_DICT, f"Dataset {dataset_name} not found!" + dataset = DATASET_DICT[dataset_name]() + + # create dataset split + split_dataset = dataset["train"].train_test_split( + test_size=0.01, seed=489, shuffle=shuffle + ) + + # rename test split to val + split_dataset["val"] = split_dataset.pop("test") + + # return the training and validation datasets + return split_dataset \ No newline at end of file diff --git a/trainers/datasets.py b/trainers/datasets.py index ab24728a..c09f50ca 100644 --- a/trainers/datasets.py +++ b/trainers/datasets.py @@ -10,7 +10,7 @@ import random from models.embedding_models import GenericEmbedder -from trainers.utils import load_data +from trainers.data_utils import load_data diff --git a/trainers/evaluator.py b/trainers/evaluator.py index 452c46e3..88e1fa8a 100644 --- a/trainers/evaluator.py +++ b/trainers/evaluator.py @@ -1,20 +1,31 @@ """Code for running samples from the evaluation benchmarks""" -from evals.load_evaluators import load_evaluator +from evals import ( + MCQEvaluator, + TextModelingEvaluator, +) -def train_eval(eval_cfg, model): - """Train the model""" - evaluator_name = eval_cfg["evaluator"] - kwargs = { - key: value for key, value in eval_cfg.items() if key != "evaluator" - } - evaluator = load_evaluator(evaluator_name, model, **kwargs) - results = evaluator.evaluate() - return results +def train_eval_mcq(model, num_samples, benchmark_list): + """ Create and run the MCQ evaluator """ + # load the MCQ evaluator + evaluator = MCQEvaluator( + model=model, + num_samples=num_samples, + benchmark_list=benchmark_list, + ) + # run the evaluator + return evaluator.evaluate() -def train_eval_text_modeling(model, eval_dir): + + +def train_eval_text_modeling(model, topic_list, eval_dir): """ Test the model """ - evaluator = load_evaluator("text_modeling", model, eval_dir=eval_dir) - results = evaluator.evaluate() - return results \ No newline at end of file + # load the Text Modeling evaluator + evaluator = TextModelingEvaluator( + model=model, + topic_list=topic_list, + eval_dir=eval_dir + ) + # run the evaluator + return evaluator.evaluate() \ No newline at end of file diff --git a/trainers/loss_fn.py b/trainers/loss_fn.py index 694b61de..0a2a44dd 100644 --- a/trainers/loss_fn.py +++ b/trainers/loss_fn.py @@ -8,16 +8,8 @@ import torch -def masked_cross_entropy_loss_fn(logits, y, mask=None): - """Cross Entropy Loss Function""" - # mask the pad token from y - pad_token_id = 257 - logits = logits.view(-1, logits.size(-1)) - y = y.view(-1) - #return torch.nn.functional.cross_entropy(logits, y, weight=mask, ignore_index=-1) - return torch.nn.functional.cross_entropy(logits, y, ignore_index=pad_token_id) -def cross_entropy_loss_fn(logits, y, mask=None): +def cross_entropy_loss_fn(logits, y): """Cross Entropy Loss Function""" logits = logits.view(-1, logits.size(-1)) y = y.view(-1) @@ -38,49 +30,14 @@ def next_token_mlm_loss_fn(logits, y_mask, masked_loss=True): return cross_entropy_loss_fn(logits, y) -def compute_perplexity(logits, y, char_lengths, mask=None): - """ - Compute perplexity - Args: - logits: torch.tensor(B, S, H) or torch.tensor(B, S, S_c, H_c) - y: torch.tensor(B, S) or torch.tensor(B, S, S_c) - char_lengths: List[int] - Returns: - perplexity: torch.tensor(1) - """ - - # pull everything onto cpu - logits = logits.cpu() - y = y.cpu() - if mask is not None: - mask = mask.cpu() - - # check if logits is byte-level - if len(logits.size()) > 3: - B, S, S_c = y.size() - seq_len = S * S_c - logits = logits.view(B, seq_len, -1) - y = y.view(B, seq_len) - else: - B, seq_len = y.size() - - # B, S, H / B, S, 1 - # calculate non-reduced loss - # flatten both - logits = logits.view(-1, logits.size(-1)) - y = y.view(-1) - loss = torch.nn.functional.cross_entropy(logits, y, reduction="none") - # B, S, 1 - # unflatten - loss = loss.view(B, seq_len) - loss = loss * mask / torch.tensor(char_lengths).view(-1, 1) - loss = loss.sum(dim=-1) - - return (torch.exp(loss)).mean().item() - +LOSS_FN_DICT = { + "cross_entropy": cross_entropy_loss_fn, + "next_token_mlm": next_token_mlm_loss_fn, +} def build_loss_fn(loss_fn_type: str): """Build the loss function""" - if loss_fn_type == "cross_entropy": - return cross_entropy_loss_fn - raise ValueError(f"Loss function {loss_fn_type} not supported.") + assert loss_fn_type in LOSS_FN_DICT, \ + f"Loss function {loss_fn_type} not found! Available options: {LOSS_FN_DICT.keys()}" + + return LOSS_FN_DICT[loss_fn_type] \ No newline at end of file diff --git a/trainers/prepare.py b/trainers/prepare.py index 213ad314..c0bd0941 100644 --- a/trainers/prepare.py +++ b/trainers/prepare.py @@ -5,7 +5,7 @@ import torch import numpy as np from tqdm import tqdm -from trainers.utils import load_data +from trainers.data_utils import load_data from models.build_models import build_embedding_model diff --git a/trainers/scheduler.py b/trainers/scheduler.py index 431cfca2..f2a43359 100644 --- a/trainers/scheduler.py +++ b/trainers/scheduler.py @@ -45,87 +45,3 @@ def get_lr(self, iter_num): return self.min_lr + 0.5 * (self.lr - self.min_lr) * ( 1 + math.cos((iter_num - self.warmup_iters) / self.decay_iters * math.pi) ) - - -class DropoutScheduler: - """Constant Dropout Scheduler""" - - def __init__(self, dropout_p=0.1): - self.dropout_p = dropout_p - - def get_dropout(self, _): - """Return Constant Dropout""" - return self.dropout_p - - def set_dropout(self, model, dropout_p): - """Set the dropout probability for the model""" - for module in model.modules(): - if isinstance(module, nn.Dropout): - module.p = dropout_p - - def step(self, model, iter_num): - """Step the scheduler""" - dropout_p = self.get_dropout(iter_num) - self.set_dropout(model, dropout_p) - return dropout_p - - -class LinearDropoutScheduler(DropoutScheduler): - """Dropout Scheduler""" - - def __init__(self, start_iter, end_iter, start_dropout_p, end_dropout_p): - """Initialize the dropout schedule""" - super().__init__(start_dropout_p) - self.start_iter = start_iter - self.end_iter = end_iter - self.start_dropout_p = start_dropout_p - self.end_dropout_p = end_dropout_p - - def get_dropout(self, iter_num): - """Return Constant Dropout""" - if iter_num < self.start_iter: - return self.start_dropout_p - if iter_num >= self.end_iter: - return self.end_dropout_p - return self.start_dropout_p + (iter_num - self.start_iter) * ( - self.end_dropout_p - self.start_dropout_p - ) / (self.end_iter - self.start_iter) - - -class TriangleDropoutScheduler(DropoutScheduler): - """Triangle Dropout Scheduler. Ref: https://arxiv.org/pdf/1506.01186""" - - def __init__( - self, - dropout_trough, - dropout_peak, - num_iterations, - num_cycles=4, - ): - """Initialize the dropout schedule - Args: - dropout_trough: The minimum dropout probability - dropout_peak: The maximum dropout probability - num_iterations: The total number of iterations - num_cycles: The number of cycles""" - super().__init__(dropout_trough) - self.dropout_trough = dropout_trough - self.dropout_peak = dropout_peak - self.total_iterations = num_iterations - self.cycle_length = self.total_iterations // num_cycles - - def get_dropout(self, iter_num): - cycle_position = iter_num % self.cycle_length - half_cycle = self.cycle_length / 2 - if cycle_position < half_cycle: - return self.dropout_trough + (self.dropout_peak - self.dropout_trough) * ( - cycle_position / half_cycle - ) - return self.dropout_peak - (self.dropout_peak - self.dropout_trough) * ( - (cycle_position - half_cycle) / half_cycle - ) - - def step(self, model, iter_num): - dropout_p = self.get_dropout(iter_num) - self.set_dropout(model, dropout_p) - return dropout_p diff --git a/trainers/utils.py b/trainers/utils.py index c61152ee..27b51b27 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -1,16 +1,13 @@ -"""Utilities for the trainer""" +""" General trainer utils """ import importlib -from prettytable import PrettyTable import inspect import os import pkgutil - import numpy as np -import torch -from datasets import load_dataset, DatasetDict, concatenate_datasets -from datasets import Features, Value +from prettytable import PrettyTable +import torch import torch.distributed as dist def set_seed(seed): @@ -30,426 +27,6 @@ def create_folder_structure(path_config): if not os.path.exists(path_config["checkpoint_dir"]): os.makedirs(path_config["checkpoint_dir"]) -def create_stlm_data_mix(): - """ - A small custom datamix for STLM models containing: - - simple English Wikipedia - - Python Code (Deepmind Code Contest) - sampled for easy questions - - technical QA style (StackExchange) - """ - # Load simple English Wikipedia - wiki = load_dataset("wikimedia/wikipedia", "20231101.simple")["train"] - - # Add a "text" column for simple English Wikipedia - wiki = wiki.map(lambda x: {"text": x["text"]}) - - # Load Python code from DeepMind Code Contests - code_dataset = load_dataset("jtatman/python-code-dataset-500k")["train"] - code_dataset = code_dataset.map(lambda x: {"text": f"Instruction: {x['instruction']}\nOutput: {x['output']}"}) - - - # Load technical QA style data from StackExchange - openhermes = load_dataset("teknium/OpenHermes-2.5")["train"] - - # Transform to have a "text" column with both question and answers - openhermes = openhermes.map(lambda x: {"text": f"Question: {x['conversations'][0]['value']}\nAnswers: {x['conversations'][1]['value']}"}) - - # Add tiny stories - tiny_stories = load_dataset("roneneldan/TinyStories")["train"] - - - # Calculate and print the distribution of string lengths - def calculate_length_distribution(dataset): - lengths = [len(item["text"]) for item in dataset] - return sum(lengths), lengths - - wiki_length, wiki_lengths = calculate_length_distribution(wiki) - python3_code_length, python3_code_lengths = calculate_length_distribution(code_dataset) - openhermes_length, openhermes_lengths = calculate_length_distribution(openhermes) - tiny_stories_length, tiny_stories_lengths = calculate_length_distribution(tiny_stories) - - total_length = wiki_length + python3_code_length + openhermes_length + tiny_stories_length - - print(f"Wiki Text Length: {wiki_length} ({wiki_length/total_length*100:.2f}%)") - print(f"Python Code Text Length: {python3_code_length} ({python3_code_length/total_length*100:.2f}%)") - print(f"openhermes Text Length: {openhermes_length} ({openhermes_length/total_length*100:.2f}%)") - - # Concatenate datasets - combined_dataset = concatenate_datasets([wiki, code_dataset, openhermes, tiny_stories]) - - combined_dataset = DatasetDict({ - "train": combined_dataset, - }) - - return combined_dataset - - -def load_github_code_dataset(): - """ - load and re-format the github code dataset - https://huggingface.co/datasets/codeparrot/github-code - """ - dataset = load_dataset("codeparrot/github-code") - - # rename "code" column to "text" column - dataset = dataset.map(lambda x: {"text": x["code"]})["train"] - - #dataset = DatasetDict({ - # "train": dataset, - #}) - - - return dataset - -def load_competition_math_dataset(): - """ - load and re-format the competition math dataset - https://huggingface.co/datasets/hendrycks/competition_math - """ - dataset = load_dataset("hendrycks/competition_math") - - # format the problem and solution into a single "text" column - dataset = dataset.map(lambda x: {"text": f"Problem: {x['problem']}\nSolution: {x['solution']}"}) - - - dataset = DatasetDict({ - "train": dataset, - }) - - return dataset - - -def load_open_hermes(): - """ - Load and format the OpenHermes dataset - https://huggingface.co/datasets/teknium/OpenHermes-2.5 - """ - dataset = load_dataset("teknium/OpenHermes-2.5")["train"] - - # format the prompt and answer into a single "text" column - dataset = dataset.map(lambda x: {"text": f"Question: {x['conversations'][0]['value']}\nAnswers: {x['conversations'][1]['value']}"}) - - dataset = DatasetDict({ - "train": dataset, - }) - - return dataset - -def load_supernatural_instructions(): - """ - Load and format the supernatural instructions dataset - https://huggingface.co/datasets/andersonbcdefg/supernatural-instructions-2m - """ - dataset = load_dataset("andersonbcdefg/supernatural-instructions-2m")["train"] - - # format the prompt and answer into a single "text" column - dataset = dataset.map(lambda x: {"text": f"Question: {x['prompt']}\nAnswer: {x['response']}"}) - - dataset = DatasetDict({ - "train": dataset, - }) - - return dataset - -def load_mini_cot(): - """ - Load and format the mini-cot dataset - https://huggingface.co/datasets/nampdn-ai/mini-CoT-Collection - """ - dataset = load_dataset("nampdn-ai/mini-CoT-Collection")["train"] - - # format the prompt and answer into a single "text" column - dataset = dataset.map(lambda x: {"text": f"Question: {x['source']}\nAnswer: {x['rationale']} - {x['target']}"}) - - dataset = DatasetDict({ - "train": dataset, - }) - - return dataset - -def load_mini_ultrachat(): - """ - Load and format the mini-ultrachat dataset - https://huggingface.co/datasets/nampdn-ai/mini-ultrachat - """ - dataset = load_dataset("nampdn-ai/mini-ultrachat")["train"] - - # format the iterative prompt and answer into a single "text" column - dataset = dataset.map( - lambda x: { - "text": "".join( - [ - f"Question: {t}" - if i % 2 == 0 else f"Answer: {t}" - for i, t in enumerate(x['data']) - ] - ) - } - ) - - dataset = DatasetDict({ - "train": dataset, - }) - - return dataset - -def load_textbooks_are_all_you_need_lite(): - """ - Load and format the textbooks are all you need lite dataset - https://huggingface.co/datasets/SciPhi/textbooks-are-all-you-need-lite - """ - dataset = load_dataset("SciPhi/textbooks-are-all-you-need-lite")["train"] - - # format the data - dataset = dataset.map(lambda x: {"text": x["completion"]}) - - dataset = DatasetDict({ - "train": dataset, - }) - - return dataset - -def load_openphi_textbooks(): - """ - Load and format the openphi textbooks dataset - https://huggingface.co/datasets/open-phi/textbooks - """ - dataset = load_dataset("open-phi/textbooks")["train"] - - # format the data - dataset = dataset.map(lambda x: {"text": x["markdown"]}) - - dataset = DatasetDict({ - "train": dataset, - }) - - return dataset - - -def load_openphi_programming_books(): - """ - Load and format the openphi programming textbooks dataset - https://huggingface.co/datasets/open-phi/programming_books_llama - """ - dataset = load_dataset("open-phi/programming_books_llama")["train"] - - # format the data - dataset = dataset.map(lambda x: {"text": x["markdown"]}) - - dataset = DatasetDict({ - "train": dataset, - }) - - return dataset - - -def load_tiny_codes(): - """ - Load and format the tiny-codes dataset - https://huggingface.co/datasets/nampdn-ai/tiny-codes - """ - dataset = load_dataset("nampdn-ai/tiny-codes")["train"] - - # format the data - dataset = dataset.map(lambda x: {"text": f"Question: {x['prompt']}\nAnswer: {x['response']}"}) - - dataset = DatasetDict({ - "train": dataset, - }) - - return dataset - -def load_tiny_orca_textbooks(): - """ - Load and format the tiny-orca dataset - https://huggingface.co/datasets/nampdn-ai/tiny-orca-textbooks - """ - dataset = load_dataset("nampdn-ai/tiny-orca-textbooks")["train"] - - # format the data - dataset = dataset.map(lambda x: {"text": f"{x['textbook']}\n Question: {x['question']}\nAnswer: {x['response']}"}) - - dataset = DatasetDict({ - "train": dataset, - }) - - return dataset - -def load_tiny_lessons(): - """ - Load and format the tiny-lessons dataset - https://huggingface.co/datasets/nampdn-ai/tiny-lessons - """ - dataset = load_dataset("nampdn-ai/tiny-lessons")["train"] - - # format the data - dataset = dataset.map(lambda x: {"text": x['textbook']}) - - dataset = DatasetDict({ - "train": dataset, - }) - - return dataset - -def load_natural_instructions(): - """ - Load and format the natural-instructions dataset - huggingface.co/datasets/Muennighoff/natural-instructions - """ - dataset = load_dataset("Muennighoff/natural-instructions")["train"] - - # format the data - dataset = dataset.map(lambda x: {"text": f"Task: Definition: {x['definition']}\nQuestion: {x['inputs']}\nAnswer: {x['targets']}"}) - - dataset = DatasetDict({ - "train": dataset, - }) - - return dataset - -def get_dataset_byte_size(dataset): - """ - Get the byte size of a dataset - """ - return sum([len(item["text"]) for item in dataset]) - -def create_tiny_pile(verbose=True): - """ - Combine multiple high-quality tiny datasets to create the tiny-pile dataset - 1. tiny_textbooks - 2. tiny_codes - 3. tiny_orca_textbooks - 4. tiny_webtext (exclude for now) - 5. tiny_lessons - 6. mini_fineweb (exclude for now) - 7. mini_cot - 8. mini_ultrachat - 9. textbooks_are_all_you_need_lite - 10. openphi_textbooks - 11. openphi_programming_books - """ - tiny_textbooks = load_dataset("nampdn-ai/tiny-textbooks")["train"].remove_columns(["source", "s", "len", "idx", "textbook"]) - tiny_codes = load_tiny_codes()["train"].remove_columns(["prompt", "main_topic", "subtopic", "adjective", "action_verb", "scenario", "target_audience","programming_language", "common_sense_topic", "idx", "response"]) - tiny_orca_textbooks = load_tiny_orca_textbooks()["train"].remove_columns(["id", "prompt", "textbook", "question", "response"]) - tiny_lessons = load_tiny_lessons()["train"].remove_columns(["source", "s", "len", "idx", "textbook"]) - #mini_fineweb = load_dataset("nampdn-ai/mini-fineweb")["train"] - mini_cot = load_mini_cot()["train"].remove_columns(["source", "target", "rationale", "task", "type"]) - mini_ultrachat = load_mini_ultrachat()["train"].remove_columns(["id", "data"]) - textbooks_are_all_you_need_lite = load_textbooks_are_all_you_need_lite()["train"].remove_columns(["formatted_prompt", "completion", "first_task", "second_task", "last_task", "notes", "title", "model", "temperature"]) - openphi_textbooks = load_openphi_textbooks()["train"].remove_columns(["topic", "model", "concepts", "outline", "markdown", "field", "subfield", "rag"]) - openphi_programming_books = load_openphi_programming_books()["train"].remove_columns(["topic", "outline", "concepts", "queries", "context", "markdown", "model"]) - simple_en_wiki = load_dataset("wikimedia/wikipedia", "20231101.simple")["train"].remove_columns(["title", "url", "id"]) - natural_instructions = load_natural_instructions()["train"].remove_columns(["task_name", "id", "definition", "inputs", "targets"]) - openhermes = load_open_hermes()["train"].remove_columns(["id", "title", "topic", "language", "conversations", "avatarUrl", "custom_instruction", "system_prompt", "views", "category", "idx", "model_name", "source", "skip_prompt_formatiing", "hash"]) - - - # Ensure all datasets have the same column type - datasets = [ - tiny_textbooks, tiny_codes, tiny_orca_textbooks, tiny_lessons, - mini_cot, mini_ultrachat, textbooks_are_all_you_need_lite, - openphi_textbooks, openphi_programming_books, simple_en_wiki, - natural_instructions, openhermes - ] - - # Create a feature schema with "large_string" for the "text" column - text_features = Features({"text": Value("large_string")}) - - # Cast the "text" column to "large_string" for datasets where dtype is 'string' - for idx, dataset in enumerate(datasets): - if dataset.features['text'].dtype == 'string': - datasets[idx] = dataset.cast(text_features) - - # Now concatenate the datasets - combined_dataset = concatenate_datasets(datasets) - - if verbose: - """ - For each dataset, count the bytes and print the percentage contribution - of each to the full pile dataset - """ - dataset_sizes = { - "tiny_textbooks": get_dataset_byte_size(tiny_textbooks), - "tiny_codes": get_dataset_byte_size(tiny_codes), - "tiny_orca_textbooks": get_dataset_byte_size(tiny_orca_textbooks), - "tiny_lessons": get_dataset_byte_size(tiny_lessons), - #"mini_fineweb": get_dataset_byte_size(mini_fineweb), - "mini_cot": get_dataset_byte_size(mini_cot), - "mini_ultrachat": get_dataset_byte_size(mini_ultrachat), - "textbooks_are_all_you_need_lite": get_dataset_byte_size(textbooks_are_all_you_need_lite), - "openphi_textbooks": get_dataset_byte_size(openphi_textbooks), - "openphi_programming_books": get_dataset_byte_size(openphi_programming_books), - "simple_en_wiki": get_dataset_byte_size(simple_en_wiki), - "natural_instructions": get_dataset_byte_size(natural_instructions), - "openhermes": get_dataset_byte_size(openhermes) - } - - total_size = sum(dataset_sizes.values()) - table = PrettyTable(["Dataset", "Byte Size", "Percentage"]) - for dataset_name, size in dataset_sizes.items(): - table.add_row([dataset_name, size, size/total_size*100]) - print(table) - - - combined_dataset = DatasetDict({ - "train": combined_dataset, - }) - - return combined_dataset - - - -DATASET_DICT = { - "debug": lambda: load_dataset("wikimedia/wikipedia", "20231101.simple"), - "en_wiki": lambda: load_dataset("wikimedia/wikipedia", "20231101.en"), - "simple_en_wiki": lambda: load_dataset("wikimedia/wikipedia", "20231101.simple"), - "babylm_100m": lambda: load_dataset("Sree1994/babylm_100M"), # https://babylm.github.io/ - "tinystories": lambda: load_dataset("roneneldan/TinyStories"), # https://huggingface.co/datasets/roneneldan/TinyStories - "stlm": create_stlm_data_mix, - "openhermes-2.5": lambda: load_open_hermes(), - "openwebtext": lambda: load_dataset("Skylion007/openwebtext", trust_remote_code=True), - "github-code": lambda: load_github_code_dataset(), - "competition_math": lambda: load_competition_math_dataset(), - "pints": lambda: load_dataset("pints-ai/Expository-Prose-V1"), - "super_natural_instructions": lambda: load_supernatural_instructions(), - "the_pile": lambda: load_dataset("The Pile", "pile-cc"), - "tiny_textbooks": lambda: load_dataset("nampdn-ai/tiny-textbooks"), - "tiny_codes": lambda: load_tiny_codes(), - #"tiny_math_textbooks": lambda: load_dataset("nampdn-ai/tiny-math-textbooks"), - "tiny_orca_textbooks": lambda: load_tiny_orca_textbooks(), - "tiny_webtext": lambda: load_dataset("nampdn-ai/tiny-webtext"), - "tiny_lessons": lambda: load_tiny_lessons(), - "tiny_bridgedict": lambda: load_dataset("nampdn-ai/tiny-bridgedict"), - "mini_fineweb": lambda: load_dataset("nampdn-ai/mini-fineweb"), - "mini_cot": lambda: load_mini_cot(), - "mini_ultrachat": lambda: load_mini_ultrachat(), - "textbooks_are_all_you_need_lite": lambda: load_textbooks_are_all_you_need_lite(), - "openphi_textbooks": lambda: load_openphi_textbooks(), - "openphi_programming_books": lambda: load_openphi_programming_books(), - "tiny_pile": lambda: create_tiny_pile(), - "natural_instructions": lambda: load_natural_instructions() - - -} - - -def load_data(dataset_name, shuffle=True): - """Load the data""" - assert dataset_name in DATASET_DICT, f"Dataset {dataset_name} not found!" - dataset = DATASET_DICT[dataset_name]() - - # create dataset split - split_dataset = dataset["train"].train_test_split( - test_size=0.01, seed=489, shuffle=shuffle - ) - - # rename test split to val - split_dataset["val"] = split_dataset.pop("test") - - if dataset_name == "debug": - split_dataset["train"] = split_dataset["train"].select(range(2048)) - - # return the training and validation datasets - return split_dataset def get_classes_from_module(module_name): @@ -504,45 +81,8 @@ def backward_hook(grad): tensor.register_hook(backward_hook) -def profilize(model, classes=None): - """Recursively add hooks to the model for recording PyTorch profiler traces with module names""" - if classes is None: - classes = get_classes_from_package("models") - classes += get_classes_from_package("models.components.layers") - print(f"Found classes for profiling: {classes}") - - for module in model.children(): - if isinstance(module, torch.nn.Module): - profilize(module, classes=classes) - if isinstance(module, torch.nn.ModuleDict): - for sub_module in module.values(): - profilize(sub_module, classes=classes) - if isinstance(module, torch.nn.ModuleList): - for sub_module in module: - profilize(sub_module, classes=classes) - - if ( - hasattr(model, "forward") - and any(isinstance(model, cls) for cls in classes) - and not hasattr(model, "old_forward") - ): - model.old_forward = model.forward - print(f"added forward profiling wrapper for {model.__class__.__name__}") - - def forward_wrapper(*args, **kwargs): - nested_module_name = model.__class__.__name__ - with torch.autograd.profiler.record_function( - f"{nested_module_name}.forward" - ): - outputs = model.old_forward(*args, **kwargs) - if isinstance(outputs, (list, tuple)): - for output in outputs: - register_backward_hooks(output, nested_module_name) - else: - register_backward_hooks(outputs, nested_module_name) - return outputs - - model.forward = forward_wrapper + + def is_dist(): """ @@ -590,47 +130,26 @@ def restore_print_override(original_print): # Function to print evaluation results and benchmark results -def print_evaluation_results(iter_num, eval_results, benchmark_results, text_modeling_results): +def print_evaluation_results(iter_num, eval_results): headers = ['Metric', 'Value'] table = PrettyTable(headers) - - # Adding eval_results rows - for metric, value in eval_results.items(): - row = [metric, value] - table.add_row(row) + table.add_row( + ['Val. Loss', eval_results['val_loss']] + ) + table.add_row( + ['Val. Perplexity', eval_results['val_perplexity']] + ) print(f"Iteration {iter_num}") print(table) - - benchmark_table = PrettyTable(['Benchmark', 'Accuracy', "Path Conf.", "Ground Conf."]) - for eval_method in benchmark_results.keys(): - if eval_method == "ft_qa": + ignore = ["Val. Loss", "Val. Perplexity"] + benchmark_table = PrettyTable(["Benchmark", "Accuracy"]) + for benchmark, value in eval_results.items(): + if benchmark in ignore: continue - for benchmark, value in benchmark_results[eval_method].items(): - benchmark_table.add_row([ - f"{benchmark}", - value['accuracy'], - value['path_confidence'], - value['ground_confidence'] - ]) + benchmark_table.add_row([benchmark, value]) print("Benchmark Results") print(benchmark_table) - - text_modeling_table = PrettyTable(['Topic', 'Difficulty', 'Norm. Lev. Dist.', 'Byte Acc.', 'Byte Perplexity']) - for topic in text_modeling_results.keys(): - for difficulty, value in text_modeling_results[topic].items(): - text_modeling_table.add_row([ - f"{topic}", - f"{difficulty}", - value['Norm. Lev. Dist.'], - value['Byte Acc.'], - value['Byte Perplexity'] - ]) - - print("Text Modeling Results") - print(text_modeling_table) - - - + print("\n\n") From 45641c2b282fd5eae6cc37b6e3ceb660ed8128e6 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Thu, 12 Sep 2024 23:10:08 +0800 Subject: [PATCH 135/209] rewrite (debugging) --- train.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/train.py b/train.py index 6ccb1a8a..bb57ff62 100644 --- a/train.py +++ b/train.py @@ -8,7 +8,7 @@ from models.build_models import build_model from trainers.build_trainers import build_trainer, ddp_setup from trainers import base_trainer -from SuperTinyLanguageModels.trainers.data_utils import create_folder_structure, init_print_override, restore_print_override +from trainers.data_utils import create_folder_structure, init_print_override, restore_print_override import torch From 017a64814d41efd3a5930759c226963d93ef8f50 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Thu, 12 Sep 2024 23:11:27 +0800 Subject: [PATCH 136/209] rewrite (debugging) --- train.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/train.py b/train.py index bb57ff62..eca6fd3e 100644 --- a/train.py +++ b/train.py @@ -8,7 +8,7 @@ from models.build_models import build_model from trainers.build_trainers import build_trainer, ddp_setup from trainers import base_trainer -from trainers.data_utils import create_folder_structure, init_print_override, restore_print_override +from trainers.utils import create_folder_structure, init_print_override, restore_print_override import torch From c5b495e2863eafd8eb154069eaee86b67f56e13b Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Thu, 12 Sep 2024 23:12:07 +0800 Subject: [PATCH 137/209] rewrite (debugging) --- train.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/train.py b/train.py index eca6fd3e..5ccbef66 100644 --- a/train.py +++ b/train.py @@ -93,7 +93,7 @@ def main(cfg): ) # get absolute path for checkpoint - if cfg["model"]["checkpoint_path"] is not None: + if "checkpoint_path" in cfg["model"]: cfg["model"]["checkpoint_path"] = hydra.utils.to_absolute_path(cfg["model"]["checkpoint_path"]) From 2158adda40bba143ecceb846730b43b165051cd5 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Thu, 12 Sep 2024 23:13:06 +0800 Subject: [PATCH 138/209] rewrite (debugging) --- trainers/prepare.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/prepare.py b/trainers/prepare.py index c0bd0941..51b8627f 100644 --- a/trainers/prepare.py +++ b/trainers/prepare.py @@ -159,7 +159,7 @@ def prepare_data(cfg): tokenized_data_folder = os.path.join( cfg["general"]["paths"]["data_dir"], dataset_name, - f'{cfg["model"]["embedder"]["tokenizer_type"]}-{cfg["model"]["vocab_size"]}-{cfg["trainer"]["dataloader"]["name"]}', + f'{cfg["model"]["tokenizer_type"]}-{cfg["model"]["vocab_size"]}-{cfg["trainer"]["dataloader"]["name"]}', ) # check if already exists (check len because some datasets use differen filenames From 50ff420e427f775fc3f922b256d0defc00b3c881 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 13 Sep 2024 11:19:38 +0800 Subject: [PATCH 139/209] debugging --- train.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/train.py b/train.py index 5ccbef66..e8e6ae6e 100644 --- a/train.py +++ b/train.py @@ -31,7 +31,7 @@ def ddp_main(rank, world_size, cfg): model, current_iter = build_model( model_cfg=cfg["model"], - checkpoint_path=cfg["model"]["checkpoint_path"], + checkpoint_path=cfg["model"].get("checkpoint_path", None), device=cfg["general"]["device"] ) model.to(cfg["general"]["device"]) @@ -61,7 +61,7 @@ def basic_main(cfg): """ model, current_iter = build_model( model_cfg=cfg["model"], - checkpoint_path=cfg["model"]["checkpoint_path"], + checkpoint_path=cfg["model"].get("checkpoint_path", None), device=cfg["general"]["device"] ) model.to(cfg["general"]["device"]) From a5fc66121aa41e07f3d59ba07f94ad3d04b8dfc2 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 13 Sep 2024 11:21:14 +0800 Subject: [PATCH 140/209] debugging --- trainers/build_trainers.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/build_trainers.py b/trainers/build_trainers.py index b3a458b9..5c2ee7fd 100644 --- a/trainers/build_trainers.py +++ b/trainers/build_trainers.py @@ -64,7 +64,7 @@ def build_optimizer(model, optimizer_config): """ Given the optimizer config, build the optimizer """ - return OPTIMIZER_DICT[optimizer_config["name"]]( + return OPTIMIZER_DICT[optimizer_config["optimizer_name"]]( model=model, trainer_cfg=optimizer_config ) From 3b95d9bcd051df456799895ec65ab21bbd781868 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 13 Sep 2024 11:22:32 +0800 Subject: [PATCH 141/209] debugging --- trainers/build_trainers.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/build_trainers.py b/trainers/build_trainers.py index 5c2ee7fd..d569f8aa 100644 --- a/trainers/build_trainers.py +++ b/trainers/build_trainers.py @@ -71,7 +71,7 @@ def build_optimizer(model, optimizer_config): SCHEDULER_DICT = { "cosine": lambda trainer_cfg: CosineLRScheduler( - warmup_iters=trainer_cfg["training"]["warmup_iters"], + warmup_iters=trainer_cfg["lr_scheduler"]["warmup_iters"], decay_iters=trainer_cfg["lr_scheduler"].get( "lr_decay_iters", trainer_cfg["training"]["total_iters"] From c71e2b75c2c4bb6ea9a62bf5fd28cbd795f62302 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 13 Sep 2024 11:23:26 +0800 Subject: [PATCH 142/209] debugging --- trainers/build_trainers.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/build_trainers.py b/trainers/build_trainers.py index d569f8aa..5194128f 100644 --- a/trainers/build_trainers.py +++ b/trainers/build_trainers.py @@ -74,7 +74,7 @@ def build_optimizer(model, optimizer_config): warmup_iters=trainer_cfg["lr_scheduler"]["warmup_iters"], decay_iters=trainer_cfg["lr_scheduler"].get( "lr_decay_iters", - trainer_cfg["training"]["total_iters"] + trainer_cfg["max_iters"] ), lr=trainer_cfg["optimizer"]["lr"], min_lr=trainer_cfg["optimizer"]["min_lr"], From aeb7ec8ff4b80cd67281cd4ea456bda74cfc33fd Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 13 Sep 2024 11:24:32 +0800 Subject: [PATCH 143/209] debugging --- trainers/datasets.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/datasets.py b/trainers/datasets.py index c09f50ca..4405a0ff 100644 --- a/trainers/datasets.py +++ b/trainers/datasets.py @@ -30,7 +30,7 @@ def __init__(self, split, cfg): self.data_path = os.path.join( self.cfg["general"]["paths"]["data_dir"], self.dataset_name, - f'{self.cfg["model"]["embedder"]["tokenizer_type"]}-{self.cfg["model"]["vocab_size"]}-{self.cfg["trainer"]["dataloader"]["name"]}', + f'{self.cfg["model"]["tokenizer_type"]}-{self.cfg["model"]["vocab_size"]}-{self.cfg["trainer"]["dataloader"]["name"]}', f"{split}.bin" ) From df9521d9f14a3faa06ab7287b1771d44999116eb Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 13 Sep 2024 11:25:15 +0800 Subject: [PATCH 144/209] debugging --- trainers/build_trainers.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/trainers/build_trainers.py b/trainers/build_trainers.py index 5194128f..515d1888 100644 --- a/trainers/build_trainers.py +++ b/trainers/build_trainers.py @@ -148,13 +148,13 @@ def build_trainer(cfg, model, gpu_id, current_iter): # wrap in dataloaders train_dataloader = torch.utils.data.DataLoader( dataset=train_dataset, - batch_size=cfg["trainer"]["training"]["batch_size"], + batch_size=cfg["trainer"]["batch_size"], shuffle=False, ) val_dataloader = torch.utils.data.DataLoader( dataset=val_dataset, - batch_size=cfg["trainer"]["training"]["batch_size"], + batch_size=cfg["trainer"]["batch_size"], shuffle=False, ) @@ -162,8 +162,8 @@ def build_trainer(cfg, model, gpu_id, current_iter): loss_fn = build_loss_fn(loss_fn_name=cfg.trainer["loss_fn"]["name"]) # build the trainer - print(cfg.trainer["training"]["trainer_type"]) - trainer = TRAINER_DICT[cfg.trainer["training"]["trainer_type"]]( + print(cfg.trainer["trainer_type"]) + trainer = TRAINER_DICT[cfg.trainer["trainer_type"]]( cfg=cfg, model=model, optimizer=optimizer, From 1bc63ea4a172ace17f8f84140006d955a14a17ab Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 13 Sep 2024 11:27:41 +0800 Subject: [PATCH 145/209] debugging --- trainers/base_trainer.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index db64338b..29e2d0cc 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -55,15 +55,15 @@ def __init__( self.cfg = cfg self.current_iter = current_iter #assert self.cfg["trainer"]["training"]["gradient_accumulation_steps"] % torch.cuda.device_count() == 0, "Gradient Accumulation Steps must be divisible by the number of GPUs" - self.gradient_accumulation_steps = cfg["trainer"]["training"][ + self.gradient_accumulation_steps = cfg["trainer"][ "gradient_accumulation_steps" - ] // torch.cuda.device_count() if torch.cuda.is_available() else cfg["trainer"]["training"][ + ] // torch.cuda.device_count() if torch.cuda.is_available() else cfg["trainer"][ "gradient_accumulation_steps" ]## divide by number of GPUs to maximise throughput self.scaler = None self.use_wandb = cfg["general"]["logging"]["wandb_log"] self.checkpoint_dir = cfg["general"]["paths"]["checkpoint_dir"] - self.batch_size = cfg["trainer"]["training"]["batch_size"] ## new + self.batch_size = cfg["trainer"]["batch_size"] # For training, always force the device to be cuda #assert torch.cuda.is_available(), "CUDA must be available for training" @@ -121,7 +121,7 @@ def _setup_scaler(self, dtype=torch.float16): def estimate_performance(self, eval_iters=None): """Estimate the loss""" if eval_iters is None: - eval_iters = self.cfg.trainer.training.eval_iters + eval_iters = self.cfg["trainer"]["eval_iters"] eval_results = {} self.model.eval() @@ -236,7 +236,7 @@ def _save_model(self, iter_num=0): def run_training_loop(self): """Run the training loop""" - for iter_num in range(self.current_iter, self.cfg.trainer.training.max_iters): + for iter_num in range(self.current_iter, self.cfg["trainer"]["max_iters"]): start_time = time.time() if self.lr_scheduler is not None: lr = self.lr_scheduler.step(self.optimizer, iter_num) @@ -245,7 +245,7 @@ def run_training_loop(self): # estimate the loss on the train/val sets if ( - not iter_num % self.cfg.trainer.training.eval_interval + not iter_num % self.cfg["trainer"]["eval_interval"] ): # run on first iter to prevent bugs causing it to crash eval_results = self.estimate_performance() @@ -271,7 +271,7 @@ def run_training_loop(self): # save checkpoints if ( - not iter_num % self.cfg.trainer.training.checkpoint_interval + not iter_num % self.cfg["trainer"]["checkpoint_interval"] and iter_num > 0 and ( self.gpu_id == 0 @@ -283,12 +283,12 @@ def run_training_loop(self): lossf = self._run_step() end_time = time.time() - if not iter_num % self.cfg.trainer.training.log_interval and iter_num > 0: + if not iter_num % self.cfg["trainer"]["log_interval"] and iter_num > 0: ## uncomment the following line to print the loss on all GPUs # print(f"GPU {self.gpu_id}: step {iter_num}: loss {lossf:.4f}, lr {lr:.1e}, dt {end_time-start_time:.1f}s") ## aggregate the loss across all GPUs - lossf = aggregate_value(lossf, self.cfg.general.device) + lossf = aggregate_value(lossf, self.cfg["general"]["device"]) ## print and log the result only on the first GPU after aggregation print(f"All GPU(s): step {iter_num}: loss {lossf:.4f}, lr {lr:.1e}, dt {end_time-start_time:.1f}s") From 9364bf212e56920a7b14ac7823227f3adce7fae5 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 13 Sep 2024 11:28:20 +0800 Subject: [PATCH 146/209] debugging --- trainers/base_trainer.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 29e2d0cc..9d58ff37 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -6,7 +6,7 @@ from contextlib import nullcontext # local imports -from trainers import data_utils +from trainers import utils, data_utils from trainers.evaluator import train_eval_mcq, train_eval_text_modeling from trainers.utils import aggregate_value, print_evaluation_results from models.utils import print_model_stats @@ -307,5 +307,5 @@ def run_training_loop(self): def train(self, seed=42): """Train the model""" - data_utils.set_seed(seed) + utils.set_seed(seed) self.run_training_loop() From f5fd4f2837f42553a7def6200f4532aaeb1dd88c Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 13 Sep 2024 11:29:34 +0800 Subject: [PATCH 147/209] debugging --- configs/{training_configs => train}/baseline-large.yaml | 0 configs/{training_configs => train}/baseline.yaml | 0 train.py | 2 +- 3 files changed, 1 insertion(+), 1 deletion(-) rename configs/{training_configs => train}/baseline-large.yaml (100%) rename configs/{training_configs => train}/baseline.yaml (100%) diff --git a/configs/training_configs/baseline-large.yaml b/configs/train/baseline-large.yaml similarity index 100% rename from configs/training_configs/baseline-large.yaml rename to configs/train/baseline-large.yaml diff --git a/configs/training_configs/baseline.yaml b/configs/train/baseline.yaml similarity index 100% rename from configs/training_configs/baseline.yaml rename to configs/train/baseline.yaml diff --git a/train.py b/train.py index e8e6ae6e..b838031c 100644 --- a/train.py +++ b/train.py @@ -79,7 +79,7 @@ def basic_main(cfg): trainer.train() -@hydra.main(config_path="configs/training_configs", config_name="baseline") +@hydra.main(config_path="configs/train", config_name="baseline") def main(cfg): world_size = torch.cuda.device_count() From c449a1ed5508610213105de0c2d6eb8705617218 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 13 Sep 2024 11:39:00 +0800 Subject: [PATCH 148/209] debugging --- configs/training_configs/baseline.yaml | 99 ++++++++++++++++++++++++++ models/components/layers/tokenizers.py | 4 +- 2 files changed, 102 insertions(+), 1 deletion(-) create mode 100644 configs/training_configs/baseline.yaml diff --git a/configs/training_configs/baseline.yaml b/configs/training_configs/baseline.yaml new file mode 100644 index 00000000..bc6b1b5c --- /dev/null +++ b/configs/training_configs/baseline.yaml @@ -0,0 +1,99 @@ +model: + core_model_type: generic + num_layers: 8 + ffn: + ffn_type: generic + ffn_dim: 2048 + activation: gelu + normalization: rms_norm + bias: true + dropout: 0.0 + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 4 + normalization: rms_norm + bias: true + dropout: false + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + vocab_size: 4000 + + hidden_dim: 512 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: true + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: pints + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 80000 + eval_interval: 2000 + log_interval: 10 + checkpoint_interval: 20000 + eval_iters: 1000 + + eval: + - mcq_benchmarks: + - "winograd" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + num_samples: 1000 + + optimizer: + optimizer_name: adamW + lr: 6.0e-4 + min_lr: 6.0e-6 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.999 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 10000 + lr_decay_iters: + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: false + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/models/components/layers/tokenizers.py b/models/components/layers/tokenizers.py index d591a82e..760dd329 100644 --- a/models/components/layers/tokenizers.py +++ b/models/components/layers/tokenizers.py @@ -150,7 +150,7 @@ def _train_tokenizer(self, verbose: bool = True): raw_datasets = load_data(dataset_name=self.dataset_name) # Initialize a new tokenizer - self.tokenizer = Tokenizer(BPE(unk_token="<|unk|>")) + self.tokenizer = Tokenizer(BPE(unk_token="<|unk|>", dropout=0.1)) # Define special tokens special_tokens = ["<|pad|>", "<|endoftext|>", "<|unk|>"] @@ -158,6 +158,8 @@ def _train_tokenizer(self, verbose: bool = True): # Initialize the trainer trainer = BpeTrainer( vocab_size=self.vocab_size, + min_frequency=5, + limit_alphabet=1000, special_tokens=special_tokens, show_progress=verbose ) From c3a197f76bba170b7ca356e0455f3cfb011efbe1 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 13 Sep 2024 11:40:52 +0800 Subject: [PATCH 149/209] debugging --- models/components/layers/tokenizers.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/models/components/layers/tokenizers.py b/models/components/layers/tokenizers.py index 760dd329..74ff2443 100644 --- a/models/components/layers/tokenizers.py +++ b/models/components/layers/tokenizers.py @@ -175,6 +175,10 @@ def batch_iterator(): # Train the tokenizer self.tokenizer.train_from_iterator(batch_iterator(), trainer=trainer) + # print + if verbose: + print(f"Trained a BPE tokenizer with {self.vocab_size} tokens on the {self.dataset_name} dataset.") + def encode(self, text: str) -> List[int]: return self.tokenizer.encode(text).ids @@ -208,6 +212,9 @@ def _load(self): self.tokenizer = Tokenizer.from_file(str(tokenizer_path)) self.vocab = self.tokenizer.get_vocab() + # print vocab size + print(f"Loaded a BPE tokenizer with {len(self.vocab)} tokens.") + From 6f74f1dab00ff1da1544ee000361537e62cd3899 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 13 Sep 2024 11:42:41 +0800 Subject: [PATCH 150/209] debugging --- models/model_shell.py | 1 + 1 file changed, 1 insertion(+) diff --git a/models/model_shell.py b/models/model_shell.py index a3144673..def44185 100644 --- a/models/model_shell.py +++ b/models/model_shell.py @@ -52,6 +52,7 @@ def forward(self, token_ids): # pass the token_ids through the embedding model # to get B, S, H (with pos encoding if necessary) + print(token_ids, token_ids.max(), token_ids.min()) x = self.embedding_model(token_ids) # pass the embeddings through the core model From 29a5ce9c20c6a459dfd2cf9afb362c8c3e14e989 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 13 Sep 2024 12:07:07 +0800 Subject: [PATCH 151/209] debugging --- models/components/layers/utils.py | 1 - 1 file changed, 1 deletion(-) diff --git a/models/components/layers/utils.py b/models/components/layers/utils.py index ef7cc0fa..ab499b15 100644 --- a/models/components/layers/utils.py +++ b/models/components/layers/utils.py @@ -21,7 +21,6 @@ def get_tokenizer_path(tokenizer_type, vocab_size, dataset_name): tokenizer_full_path = os.path.join( tokenizer_folder, f"{tokenizer_type}_{dataset_name}_{vocab_size}.model" ) - input(tokenizer_full_path) return tokenizer_folder, tokenizer_full_path def check_if_tokenizer_exists(tokenizer_type, vocab_size, dataset_name): From c8340dab3728ce427e5c749174d9f9e705b62bad Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 13 Sep 2024 12:44:46 +0800 Subject: [PATCH 152/209] tokenizer -filter to simplify --- Non-code/documentation/README.md | 1 + configs/train/baseline-large.yaml | 1 + configs/train/baseline.yaml | 3 +- .../baseline.yaml => train/baseline.yaml~} | 6 +- .../bpe_en_wiki_4000.model/added_tokens.json | 4 - .../bpe_en_wiki_4000.model/merges.txt | 3741 -------- .../special_tokens_map.json | 28 - .../bpe_en_wiki_4000.model/tokenizer.json | 7804 ----------------- .../tokenizer_config.json | 40 - .../bpe_en_wiki_4000.model/vocab.json | 1 - models/components/layers/tokenizers.py | 105 +- models/components/layers/utils.py | 13 +- models/embedding_models.py | 1 + 13 files changed, 95 insertions(+), 11653 deletions(-) rename configs/{training_configs/baseline.yaml => train/baseline.yaml~} (96%) delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/added_tokens.json delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/merges.txt delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/special_tokens_map.json delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/tokenizer.json delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/tokenizer_config.json delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/vocab.json diff --git a/Non-code/documentation/README.md b/Non-code/documentation/README.md index 798f3349..d61726a5 100644 --- a/Non-code/documentation/README.md +++ b/Non-code/documentation/README.md @@ -42,6 +42,7 @@ The name of the tokenizer to be used. Depending on the tokenizer selected, addit - **bpe (link the code)**: A custom byte-pair encoding tokenizer using the hf library. - `vocab_size`: The size of the vocabulary - `tokenizer_dataset_name`: The name of the dataset used to train the tokenizer + - `tokenizer_simplify`: Whether to simplify the tokenizer by removing foreign symbols and forcing digits to be tokenized at an individual level _[default: true]_ ## Hidden Dimension Size `hidden_dim` diff --git a/configs/train/baseline-large.yaml b/configs/train/baseline-large.yaml index 81df95d2..d7cb4b6c 100644 --- a/configs/train/baseline-large.yaml +++ b/configs/train/baseline-large.yaml @@ -18,6 +18,7 @@ model: embedding_model_type: generic tokenizer_type: bpe tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true vocab_size: 10000 hidden_dim: 512 diff --git a/configs/train/baseline.yaml b/configs/train/baseline.yaml index a120244a..afe744ca 100644 --- a/configs/train/baseline.yaml +++ b/configs/train/baseline.yaml @@ -18,6 +18,7 @@ model: embedding_model_type: generic tokenizer_type: bpe tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true vocab_size: 4000 hidden_dim: 384 @@ -96,4 +97,4 @@ general: checkpoint_dir: checkpoints eval_dir: evals seed: 489 - device: cuda + device: cpu diff --git a/configs/training_configs/baseline.yaml b/configs/train/baseline.yaml~ similarity index 96% rename from configs/training_configs/baseline.yaml rename to configs/train/baseline.yaml~ index bc6b1b5c..a120244a 100644 --- a/configs/training_configs/baseline.yaml +++ b/configs/train/baseline.yaml~ @@ -3,14 +3,14 @@ model: num_layers: 8 ffn: ffn_type: generic - ffn_dim: 2048 + ffn_dim: 1536 activation: gelu normalization: rms_norm bias: true dropout: 0.0 attn: attn_type: causal - num_kv_heads: 8 + num_kv_heads: 12 num_q_heads: 4 normalization: rms_norm bias: true @@ -20,7 +20,7 @@ model: tokenizer_dataset_name: en_wiki vocab_size: 4000 - hidden_dim: 512 + hidden_dim: 384 context_window: 2048 lm_head_type: generic diff --git a/models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/added_tokens.json b/models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/added_tokens.json deleted file mode 100644 index 8afb87de..00000000 --- a/models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/added_tokens.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "<|pad|>": 3997, - "<|unk|>": 3998 -} diff --git a/models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/merges.txt b/models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/merges.txt deleted file mode 100644 index 802a2ab8..00000000 --- a/models/components/layers/tokenizer_models/bpe_en_wiki_4000.model/merges.txt +++ /dev/null @@ -1,3741 +0,0 @@ -#version: 0.2 -Ġ t -h e -i n -Ġ a -e r -o n -Ġt he -r e -a n -o r -e n -a t -e d -Ġ o -s t -a l -Ġ w -a r -i t -Ġo f -n d -Ġ in -Ġ s -Ġ f -e s -i s -Ġ c -Ġ b -i c -Ġ p -in g -Ġa nd -a s -i on -r o -l e -Ġ S -Ġt o -Ġ m -Ġ d -Ġ C -o u -Ġ A -i l -Ġ 1 -en t -Ġ h -Ġ T -a m -Ġ M -o m -o l -e l -Ġ re -Ġ ( -c t -Ġ B -Ġ l -a d -Ġ P -u r -Ġ 2 -e t -c h -i v -er s -Ġ H -Ġw as -at ion -Ġ e -Ġ n -i g -Ġ I -i r -i d -o t -Ġt h -Ġ R -c e -u s -Ġf or -a y -Ġ on -Ġ D -l y -Ġ L -i st -i m -Ġ1 9 -Ġ F -u t -r a -Ġ g -Ġ is -Ġa s -Ġ G -e m -Ġ N -o w -Ġ2 0 -u n -t h -it h -Ġ W -ĠT he -Ġb e -an d -Ġ st -he r -t er -u l -â Ģ -Ġ J -Ġw ith -Ġ E -Ġb y -a g -Ġa l -u m -o s -ro m -' s -o p -a c -Ġa t -v er -r i -Ġw h -Ġ O -Ġa n -o c -âĢ ĵ -i an -Ġd e -Ġf rom -Ġc on -Ġ he -Ġ K -i a -a in -Ġ v -b er -al l -Ġth at -it y -re s -o d -i es -Ġ " -e st -Ġ U -ar t -a v -Ġc om -a b -at e -i f -il l -Ġp ro -u p -Ġs e -or t -e w -ar d -u d -p e -Ġp l -c es -ĠS t -1 9 -u b -Ġ it -a k -ig h -i p -Ġh is -s e -o re -ic h -o v -a st -l d -at ed -ar y -a p -n t -an t -q u -Ġ or -m ent -is h -0 0 -ĠC h -ĠI n -g e -T he -f er -m er -iv e -on g -Ġ V -Ġ r -ou r -u g -o g -i al -Ġc h -en d -Ġ20 1 -u nd -in e -er e -Ġa re -Ġe x -k s -el l -Ġ | -u st -e ar -e p -ct ion -am e -s o -or d -Ġw ere -i re -r an -u c -u re -Ġ20 0 -ic al -igh t -Ġ le -u e -Ġ| | -i e -Ġ Ċ -o st -) , -ig n -ĠH e -Ġal so -ĠU n -Ġwh ich -r ic -a re -es s -Ġpl ay -Ġcom p -c l -r it -Ġs h -t her -Ġ y -Ġ1 8 -f f -as s -r y -ag e -Ġ k -ir st -2 0 -p ort -Ġ âĢĵ -fer en -m an -R e -it ion -ou nt -ou s -Ġ un -Ġ 3 -or k -ac k -t e -t s -er v -Ġa r -i z -Ġh ad -Ġc l -on d -ation al -he d -Ġt e -id e -Ġ Y -o k -an g -l and -ic an -ter n -p er -or y -or n -ation s -ic e -Ġf irst -Ġn ot -am p -n g -f ter -Ġh as -ow n -feren ces -ĠI t -av e -Ġ ro -om e -Ġw he -at er -i b -p l -e y -Re ferences -e ct -en s -I n -Ġcon t -w o -ĠA l -a ch -p h -ion s -il m -Ġa d -ĠT h -re e -Ġ us -at es -Ġ19 9 -ul t -Ġp art -op le -Ġwh o -r u -it ed -im e -Ġthe ir -Ġ j -ĠA r -t o -Ġ her -Ġa p -Ġre s -em ber -a w -Ġit s -mer ican -ou nd -ub l -at h -ĠM ar -iv ers -o ol -e c -i k -ou t -o ver -p t -il d -b all -or s -a ce -) . -ol l -Ġa b -is s -cl ud -Ġb ut -Ġa c -in al -e ople -Ġy ear -it e -ĠL e -Ġon e -ug h -i le -ol d -o ot -Ġ 4 -l es -ou ld -Ġa g -Ġre c -ad e -h ip -ĠN ew -res s -Ġp er -u al -f or -ur ing -w n -ent s -Ġs c -en ce -w ard -o in -Ġm an -Ġt wo -Ġin clud -o y -a ct -e e -as ed -Ġd es -on s -Ġbe c -ch ool -Ġh ave -er n -i o -i ed -ar k -Ġ en -Ġth is -o b -v el -ing s -w e -Ġal l -ur n -s s -Ġ - 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"Ġa m", - "ĠC on", - "Ġp h", - "Ġin c", - "ĠP h", - "Ġth an", - "ment s", - "ĠB l", - "tern ational", - "ĠF or", - "a x", - "Ġf our", - "Ġ &", - "Ġs eries", - "Ġbe ing", - "Ġm on", - "| -", - "Ġs ome", - "ur ch", - "Ġle ad", - "p os", - "Ġ1 6", - "ĠB rit", - "amp ions", - "ĠO n", - "Ġp opul", - "Ġb l", - "Ġ19 3", - "is e", - "el s", - "ĠS chool", - "ut e", - "t y", - "Ġ1 5", - "t ain", - "Ġc all", - "ĠC an", - "Ġs ong", - "ay s", - "Ġinclud ing", - "ot her", - "ĠA t", - "Ġgro up", - "et h", - "Ġagain st", - "ĠJ u", - "Ċ Ċ", - "are er", - "Ġw ell", - "ar ri", - "le t", - "ĠS outh", - "ĠP l", - "Ġd o", - "Ġap pe", - "b orn", - "t il", - "Ġde ath", - "ik e", - "ian s", - "ug ust", - "ar n", - "Ġac c", - "ction s", - "u ary", - "Ġin t", - "ĠN ov", - "a e", - "am ed", - "b y", - "ept ember", - "v en", - "st em", - "m y", - "at her", - "r id", - "ĠW est", - "ĠG erman", - "ĠY ork", - "ire d", - "2 2", - "er ed", - "ul l", - "ver y", - "ĠA d", - "ut ion", - "r ist", - "k e", - "Ġbe fore", - "Ġre ce", - "= \"", - "ct ober", - "Ġad d", - "Ġwh ile", - "Ġs ur", - "Ġs ign", - "iv es", - "Ġpol it", - "overn ment", - "y s", - "00 0", - "Ġb ro", - "Ġde c", - "ĠO r", - "Ġ .", - "Ġsh ow", - "a id", - "ĠA ugust", - "Ġoff ic", - "Ġbu ild", - "Ġde velop", - "Ġo per", - "ĠS eptember", - "olog y", - "Ġg o", - "Ġc re", - "el f", - "ĠMar ch", - "Ġfam ily", - "Ġun til", - "le v", - "Ġc ap", - "Ġm usic", - "pr il", - "iz ed", - "Ġm ay", - "ow ever", - "r and", - "Ġo wn", - "f ess", - "a u", - "Ġre p", - "ic a", - "Ġn o", - "ĠO ctober", - "Ġor ig", - "Ġm ain", - "u es", - "er y", - "m ber", - "Ġm od", - "ĠC ent", - "en g", - "Ġh igh", - "Ġbir ths", - "emb ers", - "t ing", - "l ish", - "ist or", - "Ġch ar", - "Ġb oth", - "olle ge", - "Ġplay ed", - "Ġman y", - "Ġnum ber", - "et s", - "ĠJ une", - "r is", - "s h", - "om an", - "Ġex p", - "ĠJan uary", - "cent ury", - "ut h", - "ĠAust ral", - "Ġn ame", - "ampions hip", - "ward s", - "ĠG e", - "Ġb ack", - "ant s", - "ĠJu ly", - "v ed", - "i ent", - "x t", - "Ġrele ased", - "ce mber", - "st ru", - "Ġe m", - "1 7", - "Ġ1 2", - "ar m", - "ĠLe ague", - "p le", - "i or", - "g ram", - "ĠA pril", - "ĠT e", - "Ġfor mer", - "Ġg u", - "it al", - "iss ion", - "Ġse ver", - "C h", - "ĠW h", - "Ġan n", - "Ġw on", - "i um", - "ĠM an", - "e f", - "Ġdes ign", - "ic ip", - "ĠA ss", - "is c", - "l ed", - "19 8", - "Ġm at", - "ra ct", - "ro ss", - "aj or", - "Ġc ount", - "Ġdes c", - "ĠN orth", - "ĠBrit ish", - "e g", - "ĠNov ember", - "p or", - "Ġare a", - "Ġl ife", - "ir d", - "im es", - "port s", - "Ġst art", - "ĠP r", - "Ġor gan", - "duc ed", - "S ee", - "ĠE uro", - "Ġop en", - "are d", - "Ġf eat", - "O n", - "ĠC ity", - "ĠDe cember", - "ag es", - "v ent", - "et y", - "res ident", - "Ġd if", - "ĠG u", - "k et", - "ĠP ol", - "ot t", - "ro p", - "f l", - "Ġr un", - "re t", - "ar ch", - "Ġfilm s", - "Ġpro du", - "ĠC o", - "1 0", - "Ġm en", - "Ġcl ass", - "y l", - "ograph y", - "Ġg ame", - "ap an", - "eb ru", - "ebru ary", - "ce pt", - "Ġs m", - "lev ision", - "Ġpubl ic", - "ĠSt ate", - "Ġst ate", - "y le", - "S t", - "Ġ1 4", - "Ġex t", - "un g", - "Ġsy stem", - "ual ly", - "ĠâĢ Ķ", - "ĠC al", - "Ġl ong", - "ĠE d", - "Ġo b", - "Ġd r", - "Ġ1 3", - "al es", - "an c", - "A merican", - "Ġf inal", - "ol or", - "ĠR ep", - "il t", - "ĠI I", - "Ġc areer", - "il it", - "Ġs ame", - "ĠRe g", - "Ġde p", - "ul ar", - "he s", - "ĠAl l", - "Ġcall ed", - "a use", - "am b", - "vi ew", - "ĠCan ad", - "ĠA f", - "Ġfollow ing", - "n er", - "ĠB o", - "ĠK ing", - "2 3", - "Ġret urn", - "in c", - "ĠC ar", - "Ġf in", - "ov e", - "on y", - "Ġc ity", - "Ġw ill", - "r at", - "a f", - "ĠB ro", - "Ġch ild", - "ak ing", - "Ġsever al", - "à ¡", - "Ġcomm un", - "Ġw omen", - "s p", - "ren ch", - "ĠW ill", - "ĠS e", - "re nt", - "Ġ1 1", - "ĠF ebruary", - "or ks", - "an ge", - "ial ly", - "il ity", - "ure d", - "Ġl ist", - "Ġs uc", - "p ed", - "Ġe arly", - "ĠB e", - "Ġa ir", - "Ġcont in", - "Ġto wn", - "c om", - "Ġcomp et", - "ch n", - "Ġcl ub", - "t le", - "st er", - "ĠA m", - "ib le", - "f ul", - "t he", - "Ġm in", - "re en", - "is ed", - "al ly", - "Ġs ince", - "es e", - "ic es", - "c er", - "h am", - "ĠEuro pe", - "y n", - "r ing", - "Ġ '", - "b o", - "ang u", - "Ġn ear", - "c on", - "oin t", - "Ġn amed", - "Ġorig inal", - "end ed", - "u ed", - "at a", - "Ġhe ad", - "z e", - "Ġb el", - "ĠF l", - "Ġdis c", - "Ġpl ace", - "id ed", - "i ence", - "19 7", - "Ġbe gan", - "il le", - "Ġt it", - "Ġc ur", - "iv al", - "Ġpro gram", - "ĠP ar", - "our n", - "an e", - "Ġv ill", - "Ġm ember", - "Ġm embers", - "Ġp rom", - "Ġhe ld", - "Ġan y", - "b le", - "or m", - "Ġb ased", - "ĠThe y", - "1 6", - "Ġl and", - "Ġthe se", - "Ġ201 0", - "Ġcomp le", - "Ġap p", - "Ġsup port", - "Ġg overnment", - "al ity", - "r ight", - "Ġrem ain", - ". .", - "a ugh", - "Ġw e", - "Ġestabl ished", - "i ous", - "ĠJ apan", - "Ġal ong", - "Ġm et", - "Ġe ff", - "iv ision", - "Ġdesc rib", - "in ess", - "Ġen g", - "ĠA fter", - "ĠB ar", - "ĠP art", - "ition s", - "oun c", - "ĠH is", - "Ġp ass", - "ĠGe or", - "ĠS w", - "Ġus e", - "an a", - "Ġd ist", - "al th", - "pe ct", - "ĠEng lish", - "ĠCh ampionship", - "ad em", - "u k", - "Ġloc ated", - "m e", - "ur g", - "i en", - "1 5", - "ical ly", - "ĠA nd", - "ĠCh rist", - "ĠU S", - "ac ed", - "Ġd id", - "in o", - "Ġl aw", - "ĠH ar", - "Ġo cc", - "Ġchar act", - "ĠC ol", - "ĠE l", - "Ġ201 1", - "f ord", - "âĢ Ļ", - "ubl ic", - "at or", - "ond on", - "ĠM c", - "Ġy ou", - "Ġp os", - "oci ation", - "od e", - "Ġe ach", - "Ġh ouse", - "ore d", - "k y", - "ro w", - "ĠĠ ĠĠ", - "Ġserv ed", - "ĠAf ric", - "Ġto ok", - "Ġs im", - "ĠG en", - "ĠC ollege", - "Ġb and", - "ĠĊ ĠĊ", - "H e", - "Ġst ation", - "che s", - "at s", - "qu e", - "our t", - "Ġt r", - "ĠE ast", - "av ing", - "ĠE x", - "Ġb us", - "Ġ200 8", - "Ġb orn", - "ĠA b", - "Ġg ames", - "l ing", - "Ġn ational", - "ly mp", - "Ġ201 2", - "m ed", - "re w", - "Ġin st", - "Ġh ome", - "er g", - "ĠA ir", - "Ġpro fess", - "i et", - "ight s", - "in ed", - "ĠR o", - "Ġcomp any", - "Ġp erson", - "ĠR uss", - "Ġl ine", - "ard s", - "Ġpopul ation", - "Ġm ajor", - "ac es", - "ill ion", - "a ul", - "Ċ Ġ", - "Ġb as", - "Ġj oin", - "ĠF rench", - "Ġsm all", - "Ġle g", - "Ġ19 0", - "Ġloc al", - "Ġ200 9", - "s ide", - "ĠH er", - "Ġs l", - "Ġv ari", - "Ġrece ived", - "Ġde b", - "Ġev ent", - "p s", - "ĠD istrict", - "Ġman ag", - "Ġgen eral", - "Ġpubl ished", - "ĠL ondon", - "Ġte levision", - "T h", - "ilit ary", - "ĠM ed", - "19 6", - "ĠC up", - "et er", - "Ġcent ury", - "at ure", - "ar a", - "1 2", - "Ġsing le", - "Ġbu ilt", - "ĠH igh", - "ĠWill iam", - "Ġ201 3", - "Ġv i", - "Ġ200 6", - "Ġd ue", - "Ġc ould", - "Ġ200 7", - "ar ge", - "Ġv ers", - "Ġap pro", - "s c", - "Ġw orld", - "Ġspec ies", - "Ġ201 6", - "Ġ201 4", - "Ġ X", - "Ġ $", - "Ġc olle", - "Ġp o", - "Ġsuc cess", - "ie f", - "ounc il", - "v ers", - "um n", - "Ġa round", - "Ġst r", - "ing ton", - "ord ing", - "if ied", - "om in", - "Ġ2 5", - "A l", - "ĠS y", - "at ely", - "arri ed", - "id es", - "Ġed uc", - "Ġo ld", - "ow s", - "Ġt erm", - "Ġ201 5", - "ro l", - "à ³", - "ff ic", - "1 4", - "um mer", - "L iving", - "Ġ201 8", - "Ġa ge", - "uth or", - "ĠIt al", - "ord s", - "Ġhe l", - "Ġal ign", - "oc ial", - "r ation", - "ain t", - "a us", - "Ġ201 7", - "Ġp resent", - "ĠCom p", - "Ġe p", - "Ġl ast", - "ĠR ec", - "Ġle ft", - "Ġs ix", - "e v", - "Ġh istory", - "i od", - "Ġn ow", - "t t", - "ĠS ec", - "re et", - "a im", - "Ġ18 9", - "Ġs aid", - "t al", - "Ġrep resent", - "Ġt y", - "ra ft", - "ĠP ark", - "Ġ3 0", - "ĠH owever", - "Ġplay er", - "Ġd ied", - "ĠH ouse", - "id d", - "Ġ20 20", - "Ġc amp", - "op h", - "Ġre st", - "iz ation", - "Ġ ,", - "art ment", - "Ġ20 19", - "Ġc ar", - "um b", - "Ġl a", - "angu age", - "ĠA ng", - "ĠD av", - "1 3", - "Ġto p", - "e le", - "ĠAr t", - "on es", - "Ġvill age", - "Ġp ar", - "Ġwith in", - "ĠC or", - "iv en", - "Ġst yle", - "ĠS up", - "Ġd et", - "Ġf ive", - "Ġn orth", - "Ġsh ort", - "Ġt ri", - "ide o", - "Ġor der", - "c o", - "in k", - "ĠL a", - "ĠPh il", - "ĠN o", - "Ġd ay", - "Ġ19 2", - "o ks", - "is on", - "et her", - "ent ly", - "u f", - "Ġdescrib ed", - "Ġc ol", - "ĠR es", - "ak es", - "in t", - "ur ther", - "Ġ 0", - "v an", - "n a", - "Ġbuild ing", - "Ġth ird", - "à Ń", - "ĠM e", - "er t", - "Ġinclud e", - "ain s", - "re st", - "ĠInd ian", - "Ġinclud ed", - "ur s", - "ot e", - "ast er", - "um ent", - "Ġp ost", - "ee k", - "Ġann oun", - "ĠIn ternational", - "d ay", - "if orn", - "ĠG l", - "l er", - "Ġdif fer", - "al k", - "à ¼", - "Ġchild ren", - "Ġre port", - "5 0", - "en e", - "he m", - "ĠR iver", - "Ġd own", - "oy al", - "ĠT r", - "vi ous", - "Ġre f", - "Ġre qu", - "re g", - "Ġ2 4", - "U n", - "feren ce", - "iforn ia", - "Ġbec ause", - "th ough", - "Ġad m", - "iv ely", - "Ġcons id", - "Ġl arge", - "Ġs outh", - "uc k", - "ĠS an", - "Ġl it", - "g round", - "Ġs on", - "Ġres ult", - "al d", - "rid ge", - "ĠEng land", - "ri end", - "ic o", - "Ġd em", - "Ġd istrict", - "H istory", - ". ,", - "c olor", - "ĠA c", - "Ġst and", - "Ġm ark", - "os p", - "use um", - "er a", - "ĠE n", - "ra g", - "Ġar ch", - "Ġp ower", - "inn ing", - "k a", - "ĠO lymp", - "Ġbo ok", - "Ġst at", - "od y", - "en cy", - "ĠB r", - "Ġ200 5", - "P eople", - "Ġdeath s", - "Ġl o", - "ĠD ep", - "c hed", - "ad io", - "Ġc rit", - "con om", - "in ing", - "ĠPart y", - "Ġ20 21", - "land s", - "um an", - "ĠM ich", - "ĠAustral ia", - "ist er", - "Ġappe ar", - "ĠCal ifornia", - "Ġc or", - "Ġm ale", - "19 4", - "Ġl arg", - "Ġis s", - "al f", - "Ġj ust", - "ot es", - "he l", - "Ġ18 8", - "Ġre pl", - "k i", - "Ġv is", - "Ġw ater", - "Ġserv ice", - "Ġper iod", - "Ġper form", - "Ġn on", - "ĠThe re", - "ĠS ch", - "Ġadd ition", - "n ess", - "Ġres p", - "o x", - "Ġk ill", - "oci ety", - "A r", - "am ent", - "om b", - "er ing", - "our s", - "Ġre fer", - "a ff", - "Ġw ar", - "Ġmov ed", - "ĠY ou", - "ĠA g", - "Ġdiffer ent", - "Ġcur rent", - "ĠM on", - "Ġc r", - "o on", - "iz e", - "Ġro und", - "Ġ20 00", - "Ġl ike", - "rib ut", - "l ine", - "Ġinc re", - "v es", - "ĠA ward", - "Ġl ed", - "o f", - "Ġt rad", - "am a", - "1 1", - "Ġbus iness", - "av y", - "her n", - "t a", - "Ġan other", - "ĠAr my", - "Ġth ose", - "op s", - "Ġh istor", - "Ġsh ip", - "Ġst ill", - "and er", - "Ġe qu", - "Ġ200 4", - "Ġf ather", - "p ar", - "Ġ if", - "ĠP er", - "Ġf ield", - "ep end", - "Ġw est", - "Ġex per", - "Ġd el", - "i ber", - "ĠG ro", - "Ġf ac", - "iv il", - "Ġact iv", - "Ġcomp os", - "Ġh and", - "Ġbe st", - "Ġa uthor", - "Ġannoun ced", - "Ġp ort", - "Ġdeb ut", - "d om", - "Ġin ternational", - "stru ction", - "Ġpro ject", - "Ġtit le", - "Ġcount ry", - "Ġ el", - "Ġs old", - "ug g", - "Ġf em", - "u el", - "Ġ20 22", - "Ġw in", - "ĠP ort", - "ru ct", - "as es", - "19 3", - "Ġestabl ish", - "Ġcharact er", - "en se", - "Ġpolit ic", - "Ġe ast", - "f ield", - "l in", - "ĠM inist", - "un icip", - "ĠInd ia", - "us h", - "Ġs ide", - "ĠA mer", - "c ast", - "ri pt", - "ĠA ct", - "Ġp at", - "att le", - "Ġa v", - "ourn al", - "Ġ18 6", - "an ish", - "ĠFran ce", - "re ad", - "19 5", - "Ġn ov", - "ĠCh urch", - "Ġ2 1", - "Ġ2 3", - "Ġc ult", - "ĠM al", - "g color", - "Ġpre vious", - "Ġm ake", - "Ġ very", - "a el", - "ri es", - "ort hern", - "Ġa ward", - "ra w", - "ain ed", - "Ġele ction", - "ro te", - "le x", - "g in", - "Ġ2 2", - "ĠS m", - "ĠCh ar", - "Ġam ong", - "ap p", - "m s", - "ab or", - "Ġw orks", - "ĠR oman", - "C om", - "i us", - "al ign", - "re m", - "o ff", - "w ork", - "o le", - "Ġro le", - "Ġpro duced", - "for man", - "Ġle vel", - "Ġm ag", - "ĠB el", - "Ġof ten", - "ol ution", - "Ġa ff", - "d e", - "ĠE m", - "Ġl ate", - "Ġs pe", - "Ġre ad", - "Ġw eb", - "Ġth ough", - "Ġinv ol", - "Ġf e", - "Ġb gcolor", - "Ġre se", - "ĠA nt", - "A s", - "it ar", - "à ¶", - "at ch", - "ĠB ra", - "Ġwrit ten", - "or ies", - "Ġex pl", - "im ent", - "v ille", - "pl oy", - "ĠD ivision", - "r ont", - "ĠC ouncil", - "ip p", - "Ġeng ine", - "Ġf ore", - "Ġep is", - "stit ute", - "ĠN or", - "Ġ18 7", - "ir c", - "ĠCanad a", - "b ack", - "Ġad v", - "ra p", - "ĠQ u", - "ul ts", - "Ġte chn", - "ac ks", - "âĢ Ķ", - "Ġstart ed", - "Ġev en", - "es c", - "umn i", - "Ġyou ng", - "Ġm illion", - "Ġp oss", - "A n", - "a pe", - "n ey", - "ĠQ ue", - "Ġall ow", - "Ġ2 6", - "iv id", - "Ġcl os", - "g es", - "r ay", - "Ġm arried", - "Ġg rad", - "b an", - "Ġc ame", - "ĠP al", - "Ġin it", - "ra ck", - "ol ic", - "Ġoffic ial", - "Ġc over", - "Ġ200 3", - "e al", - "Ġcre ated", - "it or", - "Ġim port", - "Ġs it", - "ou ther", - "ĠR ober", - "y a", - "ĠV al", - "ĠAmer ica", - "ĠJ ames", - "er ation", - "Ġw ent", - "form ation", - "ĠTh om", - "Ġs ite", - "Ġg iven", - "Ġ2 8", - "ĠR oyal", - "ĠM or", - "Ġto tal", - "le ct", - "h a", - "ĠA p", - "Ġ2 7", - "Ġe very", - "l o", - "Ġst ruct", - "outher n", - "Ġt urn", - "ĠGen eral", - "Ġcommun ity", - "e an", - "w est", - "ĠO ne", - "Ġeff ect", - "g ed", - "ĠEurope an", - "it ect", - "oin ted", - "g y", - "om et", - "ĠSt reet", - "Ġjoin ed", - "ĠGeor ge", - "ĠB y", - "Ġv al", - "v al", - "it te", - "ir l", - "Ġra il", - "Ġ200 2", - "et t", - "ag o", - "Ġpolit ical", - "ot s", - "P l", - "Ġwh at", - "Ġch ang", - "Ġwork ed", - "Ġp res", - "st on", - "Ġp e", - "Ġs w", - "Ġvari ous", - "ir on", - "Ġdevelop ment", - "i j", - "Ġf re", - "al t", - "ree k", - "ĠM ount", - "s ite", - "ĠAss ociation", - "pos ed", - "Ġcon f", - "ĠS en", - "ĠH ol", - "Ġpro cess", - "b or", - "Ġt w", - "ĠL ou", - "ĠP aul", - "Ġv ideo", - "ĠP resident", - "Ġprofess ional", - "Ġele ct", - "ac hed", - "Ġm ilitary", - "at ic", - "Ġf act", - "m a", - "Ġvers ion", - "her s", - "olog ical", - "re am", - "at ri", - "Ġm uch", - "Ġ200 1", - "ra in", - "Ġpro te", - "Ġprodu ction", - "s elf", - "Ġh aving", - "ĠAustral ian", - "Ġne xt", - "ĠR ich", - "ĠR ed", - "Ġcl aim", - "Ġbec ome", - "Ġcomm on", - "Ġspec ial", - "h old", - "Ġb re", - "Ġs ent", - "Ġm iss", - "h ib", - "Ġh ost", - "Ġt em", - "og n", - "B C", - "Ġint ro", - "Ġdire ct", - "e h", - "Ġus ing", - "e ad", - "Ġp ri", - "ĠGerman y", - "o or", - "Ġreturn ed", - "op e", - "Ġw rote", - "Ġp resident", - "ĠUn ion", - "Ġpr im", - "ĠD em", - "est s", - "Ġ Ã", - "3 0", - "Ġ1 00", - "' t", - "in ation", - "Ġmat ch", - "Ġpos ition", - "ict ion", - "i ography", - "oin ts", - "Ġan t", - "m ing", - "Ġt ake", - "Ġteam s", - "Ġdire ctor", - "ĠDav id", - "Ġch urch", - "Ġm ult", - "fl u", - "Ġsong s", - "Ġg l", - "Ġopen ed", - "Ġper forman", - "il ar", - "ivid ual", - "Ġf ew", - "Ġev ents", - "ĠB er", - "A fter", - "id a", - "se qu", - "o e", - "Ġf un", - "Ġbe h", - "an i", - "Ġ [", - "ĠK h", - "C A", - "r ant", - "m on", - "arl iam", - "ak en", - "Ġv ol", - "ar ian", - "ĠH all", - "ĠSt ud", - "ĠP e", - "Ġ199 0", - "u le", - "ent ion", - "ash ington", - "ĠD uring", - "ĠG ames", - "Ġ2 9", - "oc rat", - "ĠD r", - "ber g", - "arliam ent", - "Ġ( )", - "er b", - "Ġim p", - "Ġt imes", - "ec ut", - "Ġst ory", - "cc ording", - "Ġs ol", - "ĠAc adem", - "Ġpart icip", - "Ġw ay", - "Ġv oc", - "Ġfootball ers", - "ĠV ir", - "ĠRo ad", - "ri an", - "augh ter", - "Ġbe g", - "Ġalbum s", - "ib r", - "ĠM ary", - "a ur", - "Ġh ig", - "est ed", - "Ġs k", - "ĠM art", - "Ġf riend", - "it z", - "ra b", - "n ing", - "ĠM ex", - "it t", - "ĠPro v", - "ĠCl ub", - "an ces", - "ĠJ os", - "Ġatt ack", - "ket ball", - "itte e", - "Ġro ad", - "our ces", - "an ies", - "stit ut", - "y ear", - "Ġadm inist", - "Ġpopul ar", - "il es", - "Ġbro ther", - "Ġne ed", - "Ġwith out", - "at ors", - "at ter", - "ĠCh ina", - "ĠD es", - "Ġserv ices", - "is l", - "Ġreg ion", - "ic le", - "ĠM usic", - "y ing", - "m en", - "Ġp ract", - "idd le", - "Ġstud ents", - "Ġs ocial", - "ĠL ist", - "F ilm", - "od es", - "ĠH en", - "ers hip", - "wo od", - "a ign", - "Ġt er", - "end ing", - "Ġh alf", - "ĠC ourt", - "r ated", - "Ġbro ad", - "Ġg reat", - "Ġf ull", - "Ġcontin ued", - "P ro", - "ĠComp any", - "Ġl ost", - "ĠM ag", - "s hip", - "ac y", - "ĠT own", - "n ect", - "Ġco ach", - "Ġh on", - "us ed", - "Ġm id", - "Ġal umni", - "Ġeduc ation", - "ĠCanad ian", - "are nt", - "Ġrese arch", - "Ġatt em", - "ĠT ur", - "ĠT ex", - "ĠKing dom", - "ĠBl ack", - "ĠL aw", - "is ing", - "Ġh owever", - "ol it", - "ĠS ociety", - "2 5", - "ens us", - "ber t", - "Ġse e", - "ĠM y", - "Ġcomple ted", - "| |", - "Ġd ays", - "ap er", - "Ġpro duc", - "ĠH istor", - "b urg", - "Ġapp ointed", - "Ġele cted", - "w h", - "Ġex amp", - "Ġcom b", - "Ġinv est", - "est ival", - "ill s", - "Ġind ust", - "u it", - "Ġ199 9", - "Ġ ident", - "Ġin f", - "ĠP ri", - "Ġs qu", - "Ġpart y", - "cent er", - "Ġfound ed", - "Ġcont rol", - "Ġdire cted", - "ĠF irst", - "in i", - "âĢ Ŀ", - "ĠM ad", - "Ġrecord ed", - "ĠW ashington", - "Ġa ver", - "ific ation", - "ĠIs land", - "Ġl im", - "on a", - "ĠAfric an", - "Ġr ight", - "ines e", - "C l", - "ĠN e", - "l ess", - "Ġsign ed", - "ĠW hen", - "ĠCent er", - "ĠThe se", - "n ow", - "c raft", - "Ġw ife", - "Ġe conom", - "Ċ ĠĊ", - "Ġ198 0", - "ĠS l", - "Ġle ague", - "Ġpro per", - "ĠGro up", - "2 4", - "Ġp oints", - "ĠC ath", - "as ons", - "ot ed", - "Ġare as", - "Ġre view", - "y m", - "u ff", - "Ġgroup s", - "ĠRec ords", - "n el", - "ish ing", - "Ġconsid ered", - "Ġb ase", - "Ġra ce", - "I t", - "Ġpart ic", - "at ural", - "ĠM iss", - "Ġf ind", - "ĠC he", - "ĠJapan ese", - "Ġf urther", - "ĠS al", - "r d", - "= #", - "Ġre n", - "ĠS am", - "ĠS ummer", - "ĠS erv", - "ell ow", - "Ġc oll", - "ar ies", - "Ġrel ations", - "Ġc aus", - "ap t", - "il i", - "ĠR ail", - "Ġv ict", - "ep h", - "Ġsur v", - "ĠCent ral", - "Ġsim ilar", - "r ig", - "th let", - "Ġh old", - "ell s", - "Ġind ividual", - "ĠDep artment", - "Ġde g", - "Ġto g", - "ĠIn stitute", - "way s", - "Ġpr iv", - "ĠT ra", - "Ġre al", - "ĠOlymp ics", - "Ġvi ew", - "ĠAr ch", - "ĠS ing", - "Ġweb site", - "ĠAng el", - "id ence", - "ar ter", - "ĠZ eal", - "g er", - "Ġt en", - "ĠW e", - "ar th", - "ĠAcadem y", - "um p", - "Ġtog ether", - "ĠSt e", - "ĠM useum", - "u ation", - "ĠG rand", - "ĠRuss ian", - "Ġ199 8", - "Ġrele ase", - "ric k", - "r ish", - "ĠF ootball", - "ot a", - "ĠZeal and", - "ĠM ont", - "Ġin flu", - "ĠP ress", - "r as", - "Ġreport ed", - "ĠB est", - "Ġp oint", - "ĠItal ian", - "Ġc ase", - "Ġappe ared", - "et work", - "Ġc er", - "ĠRober t", - "ĠF ilm", - "Ġoff ice", - "Ġs ports", - "ed eral", - "Ġm other", - "ou l", - "ĠThom as", - "Ġtra ck", - "Ġp ain", - "Ġw eek", - "m ar", - "en c", - "ĠB ay", - "ĠT V", - "Ġnov el", - "Ġme et", - "y d", - "Ġcon d", - "b e", - "Ġbir th", - "Ġm y", - "ed y", - "Ġdevelop ed", - "Ġform ed", - "ak er", - "it ive", - "Ġin s", - "ĠO p", - "ĠAfric a", - "it ing", - "Ġh ous", - "i que", - "Ġmed al", - "Ġhel p", - "Ġgu itar", - "ĠW ith", - "ĠWest ern", - "ĠFran c", - "Ġla un", - "Ġa ut", - "Ġass ist", - "ĠA lex", - "ad es", - "ĠRep ublic", - "Ġ199 6", - "ĠD on", - "Ġd iv", - "Ġph ot", - "du ction", - "Ġwork ing", - "ĠC ong", - "ul a", - "l or", - "Ġd oc", - "ĠâĢ ľ", - "Ġimport ant", - "Ġ /", - "Ġm aking", - "Ġar r", - "Ġto urn", - "Ġ z", - "4 0", - "h i", - "ol a", - "ĠSc ott", - "Ġart ist", - "ĠG reat", - "ail ed", - "re land", - "Ġarch itect", - "c ks", - "ĠM et", - "ict or", - "i ers", - "ĠG reen", - "Ġc ast", - "Ġgro w", - "Ġm unicip", - "Ġap pl", - "im ately", - "it ted", - "Ġg ood", - "al a", - "ĠC ap", - "Ġm ar", - "ĠVir gin", - "Ġ197 0", - "Ġ18 5", - "ĠChar les", - "Ġof fer", - "id ing", - "ĠLou is", - "c ial", - "c le", - "Ġm ot", - "Ġl ess", - "Ġtrad ition", - "g o", - "à ¤", - "ĠComm un", - "ĠK ore", - "b and", - "id ae", - "Ġl ive", - "Ġschool s", - "ic les", - "ĠG old", - "Ġ20 23", - "re y", - "Ġd ata", - "ro ll", - "it her", - "Ġph ys", - "Ġ199 7", - "Ġf und", - "ens ive", - "Ġh uman", - "Ġd aughter", - "Ġty p", - "Ġcon c", - "Ġsh ould", - "epend ent", - "st ro", - "ab ly", - "Ġother s", - "en a", - "at ives", - "Ġem ploy", - "ĠY ear", - "Ġro ck", - "osp ital", - "Ġgro und", - ") :", - "Ġrec ogn", - "Ġhim self", - "Ġd i", - "Ġre v", - "Ġm ater", - "v iron", - "ĠCar ol", - "Ġde cl", - "a ut", - "Ġbuild ings", - "ad a", - "ĠJ ew", - "all s", - "ĠMinist er", - "en ed", - "Ġr ul", - "le g", - "S h", - "az ine", - "Ġst ar", - "ĠS im", - "Ġac ross", - "Ġav ail", - "us ical", - "Ġcomp anies", - "Ġf ire", - "ĠV ol", - "al y", - "ic ation", - "p ite", - "s y", - "Ġb ody", - "ay ing", - "ol f", - "ate g", - "m ost", - "Ġan im", - "ĠM ac", - "Ġcamp aign", - "and ing", - "Ġl anguage", - "u z", - "Ġst ations", - "overn or", - "ĠTex as", - "ĠM er", - "Ġe ight", - "Ġg et", - "Ġdo es", - "b our", - "Ġ5 0", - "Ġaver age", - "ri a", - "um e", - "E ng", - "Ġ =", - "ud e", - "at re", - "ce ed", - "ĠLe g", - "r im", - "Ġex ist", - "Ġbec om", - "Ġqu al", - "Ġmod ern", - "he re", - "ra el", - "Ġplay ing", - "ric ket", - "ĠChrist ian", - "Ġbl ack", - "Ġt ro", - "g ress", - "ĠU K", - "em or", - "Ġl ow", - "ĠMich ael", - "ĠC ont", - "he ast", - "N ew", - "D e", - "ĠT rans", - "Ġh ow", - "Ġ199 5", - "Ġepis ode", - "ĠP at", - "ĠI m", - "Ġ3 1", - "ĠW il", - "o ice", - "Ġ199 2", - "Ġgrad u", - "z il", - "ĠCh inese", - "ock ey", - "g en", - "ut es", - "Ġc le", - "Ġst age", - "u ild", - "Ġd ram", - "ĠF rom", - "u x", - "ĠCath olic", - "w rit", - "Ġc ross", - "Ġexamp le", - "ĠP et", - "em ents", - "Ġ et", - "ud d", - "2 6", - "ch ie", - "Ġr adio", - "ĠT om", - "Ġne ver", - "air s", - "ĠD el", - "Ġl iving", - "Th is", - "Ġd er", - "h ood", - "ĠC ro", - "Ġ199 4", - "Ġperform ed", - "Ġf oc", - "ad o", - "emb ly", - "Ġfem ale", - "and id", - "I I", - "Ġw inn", - "ĠT er", - "eth od", - "k ed", - "ĠPar is", - "Ġse par", - "Ġbel ie", - "t ime", - "pe ople", - "2 7", - "Ġpolitic ian", - "Ġf ree", - "Ġac qu", - "ĠWh ite", - "Ġart ists", - "Ġass oci", - "w are", - "Ġf ight", - "Ġl ight", - "ent ial", - "ov iet", - "Ġcont ract", - "duc ation", - "A t", - "re l", - "Ġk m", - "o z", - "Ġre d", - "ibr ary", - "ough t", - "ign ed", - "Ġstr ong", - "Ġsuccess ful", - "ĠT or", - "Ġkill ed", - "ur a", - "at ory", - "he ad", - "Ġfin ished", - "2 8", - "Ġmon ths", - "av al", - "im ate", - "Ġpl aces", - "Ġcon struction", - "Ġpro t", - "ĠD an", - "Ġg ave", - "Ġestablish ments", - "id ents", - "E arly", - "as c", - "Ġavail able", - "Ġa way", - "Ġgo al", - "Ġcon du", - "Ġin j", - "if f", - "ĠChampionship s", - "Ġperforman ce", - "av es", - "ran ch", - "Ġ196 0", - "ish op", - "ĠB ill", - "ell ing", - "Ġal though", - "ĠSp anish", - "il ities", - "ĠT o", - "Ġbo oks", - "i qu", - "viron ment", - "I nd", - "ĠL at", - "id s", - "Ġj ournal", - "Ġin formation", - "Ġ ide", - "an o", - "inal s", - "ĠFran k", - "ic ated", - "ut ch", - "ĠDem ocrat", - "ĠFl or", - "le ft", - "Ġt aken", - "ell a", - "Ġd am", - "ĠI reland", - "Ġc our", - "it ch", - "ĠS ur", - "ĠRe v", - "ĠM el", - "Ġse le", - "ific ant", - ", \"", - "Ġfollow ed", - "ĠW omen", - "ĠV ictor", - "S c", - "ar ia", - "ct s", - "Ġshow s", - "Ġr ank", - "Ġag re", - "ĠIn ter", - "ĠS ant", - "ug by", - "ĠP enn", - "Ġc ost", - "ĠP eter", - "it a", - "G e", - "Ġ199 3", - "Ġm ix", - "Ġto ur", - "om a", - "Ġhe alth", - "g ian", - "ĠSm ith", - "Ä ģ", - "o res", - "2 9", - "ĠL ake", - "Ġf ront", - "Ġj ud", - "se c", - "ĠF ore", - "ĠL os", - "Ġattem pt", - "Ġaward ed", - "Ġinclud es", - "Ġc irc", - "Ġtourn ament", - "ic ago", - "Ġfeat ures", - "ĠC ons", - "ĠRich ard", - "s erv", - "Ġoriginal ly", - "Ġdesign ed", - "Ġs en", - "Ġvi ol", - "\" |", - "ag ed", - "o ch", - "Ġ199 1", - "Ġac cess", - "Ġmater ial", - "ĠH am", - "Ġhouse hold", - "Ġse ven", - "n y", - "ĠD ire", - "ĠHen ry", - "Ġim pro", - "Ġp ut", - "Ġc ivil", - "Ġrel ig", - "om s", - "Ġremain ed", - "Ġs il", - "ist an", - "it er", - "Ġs ound", - "ĠD ay", - "Ġstud y", - "un t", - "i os", - "Ġ18 4", - "Ġl ab", - "nd er", - "Ġon ce", - "Ġ4 0", - "Ġfeat ured", - "er ous", - "ol k", - "ĠSw ed", - "ĠM ass", - "Ġfor ces", - "ĠB en", - "atri ate", - "Ġsc ored", - "he st", - "ur ity", - "ĠB as", - "m b", - "Ġp ress", - "Ġt est", - "ac hes", - "Ġc y", - "Ġ ill", - "à ¨", - "Ġc ourt", - "Ġde v", - "Ġsing er", - "Ġmark et", - "ap s", - "r or", - "Ġbas ketball", - "ro ad", - "ip le", - "ach ing", - "Ġb ar", - "Ġpl an", - "il ies", - "Ġsign ificant", - "N otes", - "end er", - "ĠVirgin ia", - "Ġex ecut", - "ic ations", - "T e", - "ig an", - "ĠH ill", - "ĠB ur", - "Ġlead ing", - "Ġtra ining", - "em s", - "Ġpol ice", - "6 0", - "Ġmed ia", - "Ġe arn", - "ri p", - "ĠSup er", - "Ġre b", - "b l", - "ĠFor ce", - "F or", - "Ġd ou", - "ĠW in", - "Ġlarg est", - "Ġr ights", - "Ġ #", - "Ġm ount", - "ear ch", - "k n", - "ĠE mp", - "19 0", - "ĠC amp", - "augh t", - "ic y", - "art s", - "our ce", - "e ep", - "Ġair craft", - "am s", - "ĠOr der", - "Ġm ust", - "ffic ial", - "pl ay", - "Ġmod el", - "ĠM a", - "F C", - "ó n", - "ĠU p", - "Ġpl ant", - "Ä ĩ", - "C areer", - "it es", - "A S", - "Ġen c", - "C on", - "Ġs em", - "Ġthrough out", - "ĠR ock", - "ist ics", - "Ġlit er", - "Ġtrans fer", - "ĠH istory", - "r up", - "Ġcons ist", - "ĠĊ Ċ", - "Ġg old", - "y p", - "ĠComm ission", - "Ġinvol ved", - "L ist", - "ĠB ut", - "un k", - "Ġlist ed", - "Ġc ou", - "Ġsub sequ", - "sh ire", - "ĠO l", - "ĠAr ts", - "ord er", - "Ġst ated", - "ien ces", - "ĠS aint", - "ut er", - "Ġbo ard", - "Ġintro duced", - "ann el", - "Ġs ugg", - "Ġwh ite", - "Ġcap t", - "Ġe arl", - "Ġse en", - "Ġcompet ition", - "Ġt re", - "Ġrepl aced", - "Ġw id", - "i ro", - "ĠC ast", - "un s", - "v ing", - "ĠMex ico", - "Ġc andid", - "ĠSc ot", - "ĠR ob", - "Eng lish", - "8 0", - "Ġtrans l", - "Ġwrit er", - "W h", - "ĠItal y", - "ar c", - "ĠIs rael", - "Ġevent ually", - "ĠG o", - "Ġ198 8", - "T V", - "Ġv ia", - "Ġpriv ate", - "z a", - "Ġresp ons", - "rib ution", - "ĠProv ince", - "ut ure", - "Ġcrit ic", - "at al", - "Ġb i", - "Ġres ults", - "Ġent ire", - "ĠK n", - "ĠPl ay", - "Ġvoc als", - "l ant", - "ĠSec ond", - "Ġab le", - "Ġt reat", - "Ġ198 9", - "um m", - "te xt", - "Ġadd ed", - "ret ary", - "Ġc ollege", - "ĠTur k", - "ĠN avy", - "Ġr an", - "Ġpro ble", - "om m", - "Ġfour th", - "A R", - "m in", - "Ġcount ries", - "ec k", - "201 0", - "Ġk ey", - "Ġp ast", - "ĠP arliament", - "Å į", - "ĠCh icago", - "b b", - "ver t", - "ĠF estival", - "Ġw ind", - "ĠAngel es", - "ut y", - "Ġcent ral", - "Ġact ress", - "ĠP an", - "ĠM in", - "uf act", - "as ing", - "ĠComm ittee", - "e ated", - "ul arly", - "ĠJ ust", - "Ġa ud", - "ĠS qu", - "ript ion", - "Ġwrit ers", - "Ġass ociation", - "Ġcomm and", - "Ġle ast", - "Ġres pect", - "Ġ Ð", - "Ġl oss", - "yl van", - "ĠM us", - "Ġsp ace", - "ĠI ll", - "ian o", - "por ary", - "F A", - "mer cial", - "ĠG ra", - "ĠBro wn", - "o o", - "ĠC arl", - "ab ility", - "ĠHistor ic", - "Ġun its", - "s k", - "ĠW ales", - "Film s", - "Ġn omin", - "Ġs er", - "y r", - "ĠI ts", - "or por", - "Ġm inist", - "Ġs ch", - "18 9", - "Ġpre m", - "ĠM il", - "Ġdeg ree", - "Ġst aff", - "Ġr ange", - "Ġdisc over", - "ĠFlor ida", - "ok e", - "u a", - "ib l", - "ri al", - "Ġ :", - "Ġ es", - "ĠGeor g", - "Ġcl ose", - "Ġdoc ument", - "L e", - "Ġbroad cast", - "Ġf ig", - "as k", - "Ġst ates", - "Ġre ached", - "ian a", - "Ġab ove", - "med i", - "Ġcon v", - "Ġc ensus", - "v a", - "ĠP re", - "erv e", - "Ġch ange", - "el t", - "Ġprov ided", - "r ade", - "Ġcurrent ly", - "u an", - "ĠCarol ina", - "Ġse asons", - ".. .", - "Ġex hib", - "ĠBra zil", - "ĠWh ile", - "y e", - "rough t", - "oy s", - "i ents", - "Ġcont ribut", - "ylvan ia", - "Ġexp ress", - "ĠS oviet", - "ĠA wards", - "Ġe ither", - "Ġf av", - "Ġp ur", - "f ace", - "Ġch ampionship", - "Ġ Â", - "r ative", - "al ed", - "e es", - "Ġtra vel", - "P h", - "ĠCong ress", - "Ġpl aced", - "Ġ( \"", - ") ;", - "ĠO ff", - "sy ch", - "Ġmiss ing", - "Ġup on", - "Ġh om", - "s el", - "ĠRuss ia", - "Ġsub ject", - "bo ard", - "Ġrail way", - "F L", - "ad ium", - "st e", - "u ke", - "Ġs aw", - "Ġinter est", - "st ant", - "ĠL and", - "Ġ198 7", - "ĠP ublic", - "pt ion", - "ab it", - "w ell", - "ist ic", - "ĠG od", - "Ġcent er", - "ĠAn n", - "Ġm ur", - "Ġa ction", - "k m", - "ĠM r", - "l am", - "Ġocc ur", - "kn own", - "cept ion", - "Ġty pe", - "ĠA ccording", - "Ġw ant", - "ip l", - "p ly", - "ĠD o", - "is es", - "Ġp ot", - "Ġf if", - "ed s", - "Ġn ight", - "Ġa chie", - "Ġc op", - "Ġ18 3", - "i res", - "l im", - "stit ution", - "Ġh it", - "Ġatt ended", - "h an", - "ĠG overnment", - "ĠT our", - "g ent", - "ĠMar k", - "p ing", - "Ġle arn", - "l anguage", - "ĠM ur", - "Ġse x", - "Ġcharact ers", - "A d", - "Ġ198 6", - "Ġ198 4", - "ubl ican", - "ar ily", - "ele b", - "az z", - "ĠĠĠĠ ĠĠĠĠ", - "et te", - "Ġcap ital", - "Ġcon nect", - "ĠCl ass", - "Ġme as", - "S p", - "Ġdec ided", - "Ġc he", - "ult ural", - "P erson", - "d en", - "g l", - "Ġprevious ly", - "er o", - "eng th", - "Ġd raw", - "ĠD en", - "ult ure", - "ĠTe chn", - "ĠC ount", - "ĠSc ience", - "ĠAss embly", - "ollow ing", - "Ġde stro", - "b ur", - "The re", - "at o", - "Ġst re", - "Ġd ivision", - "Ġne igh", - "Ġlead er", - "ĠN ot", - "ĠE r", - "am ily", - "ĠServ ice", - "200 0", - "Ġ195 0", - "Ġstud io", - "Ġappro x", - "Ġse ction", - "Ġus ually", - "ĠJ un", - "ĠI rish", - "Ġme an", - "ĠS ome", - "Ġm ass", - "B A", - "Ġdef eated", - "s ylvania", - "st ra", - "Ġsing les", - "Ġed ition", - "re me", - "and a", - "7 0", - "Ġre ve", - "Ġocc up", - ". )", - "ĠP ac", - "ow ers", - "ĠO h", - "f ic", - "ĠEmp ire", - "a ud", - "ig er", - "e ction", - "ĠN orthern", - "Ġkn ow", - "Ġinst ead", - "Ġn atural", - "Ġeff ort", - "Ġg rand", - "m un", - "Ġact or", - "Ġpo et", - "Ġr iver", - "Ġar g", - "ĠR os", - "ĠE le", - "Ġp arent", - "Ġacc ount", - "Ġf arm", - "ĠSt ar", - "ch an", - "Ġ198 5", - "h ire", - "amp ion", - "ers ey", - "ĠS ir", - "st r", - "Ġd u", - "Ġb ur", - "c a", - "Ġac cept", - "Ġw inning", - "Ġproduc er", - "or a", - "inc ip", - "ans as", - "ĠF ound", - "w an", - "ult y", - "Ġinvest ig", - "ar io", - "or ing", - "Ġm ethod", - "Ġwh ose", - "um ents", - "ell ed", - "c her", - "Ġpl ann", - "Ġpart s", - "Ġact ive", - "ĠA rab", - "ill a", - "ĠH on", - "ĠS il", - "Ġrepresent ed", - "ĠL iber", - "in ent", - "ĠM os", - "Ġmov ement", - "b ased", - "ĠR h", - "Ġprim ary", - "ig a", - "Ġcult ure", - "Ġprov ide", - "Ġp ark", - "Ġrelations hip", - "Ġplay s", - "Ġfam ilies", - "Ġsc ient", - "ĠF in", - "Ġpr ison", - "Ġde al", - "ĠS eries", - "Ġorgan iz", - "ĠM od", - "Ġf ar", - "Ġp red", - "Ġn orthern", - "Ġbeh ind", - "Ġp urch", - "Ġs outhern", - "ĠO ld", - "ong s", - "al i", - "cl us", - "at i", - "Ġt ax", - "ĠT ro", - "D uring", - "all ery", - "pos ition", - "ig ital", - "ens ion", - "Ġm usical", - "ĠU k", - "Ġs ize", - "ĠCol umb", - "ad y", - "Ġb ank", - "p an", - "ĠT wo", - "Ġl ower", - "se e", - "omet imes", - "Ġl ik", - "w er", - "Ġst e", - "ĠPenn sylvania", - "ĠSp ain", - "Ġb rought", - "Ġgo als", - "M en", - "ĠM ill", - "\" )", - "Ġread ing", - "tain ed", - "erg y", - "Ġco ast", - "Ġnew sp", - "Ġout side", - "ar ing", - "Ġorgan ization", - "Ġac adem", - "im b", - "ĠJos eph", - "Ġs us", - "Ġcolle ction", - "il s", - "he t", - "ĠReg ister", - "Ġ198 3", - "ĠF ort", - "Ġc ut", - "ur b", - "ĠB attle", - "ĠF C", - "Ġp ers", - "all ed", - "Ġdef eat", - "Ġr ather", - "or se", - "ĠL ove", - "Ġclos ed", - "Ġf all", - "Ġindust ry", - "Ġwrit ing", - "l a", - "Ġn etwork", - "end s", - "Ġg irl", - "ic ro", - "Ġend ed", - "ĠO ther", - "ĠW ood", - "Ġrun s", - "c el", - "I D", - "Ġc ricket", - "Ġdram a", - "Ġman ufact", - "aw a", - "Ġc are", - "ir m", - "Ġfor ce", - "pec ially", - "Ġsh ot", - "isc o", - "ĠS k", - "Ġfootball er", - "i h", - "Ġ198 2", - "anc ial", - "ĠS un", - "Ġsystem s", - "Ġg e", - "it ors", - "Ġ esc", - "m ark", - "N A", - "ul ation", - "oun ter", - "Ġposs ible", - "Ġw ood", - "ĠMart in", - "ĠO per", - "Ġk ing", - "à §", - "Ġreg ard", - "Ġmat ches", - "ing u", - "if t", - "Ġallow ed", - "ĠBo ard", - "Ġstud ies", - "m ond", - "a o", - "Ġob ject", - "ven ue", - "Ġal most", - "Ġne g", - "Ġmag azine", - "Ġreg ular", - "Ġstruct ure", - "in ary", - "em ic", - "Ġst op", - "id er", - "Ġchang ed", - "ĠS er", - "l ike", - "9 0", - "enn is", - "stru ct", - "Ġcomm ission", - "Ġfre qu", - "in ated", - "k o", - "Ġ197 2", - "i y", - "back ground", - "A ll", - "et ts", - "o ir", - "Ġis land", - "c ing", - "ĠT imes", - "ĠG reek", - "is ions", - "ĠC ur", - "Ġh ard", - "Ġ197 9", - "Ġpl at", - "Ġsch ol", - "ĠVal ley", - "Ġset tle", - "Ġd en", - "Ġlaun ched", - "Ġw oman", - "ĠAt lant", - "Ġb all", - "Ġoper ations", - "3 5", - "it iz", - "air man", - "ain ing", - "ent h", - "velop ment", - "J ohn", - "ov ers", - "ĠS ub", - "ĠC am", - "ĠTe am", - "ac ing", - "Ġbeg inning", - "Ġperson al", - "Ġb en", - "it tle", - "ĠDe f", - "Ġter rit", - "Ġto wards", - "ro s", - "S he", - "Ġtrans port", - "ĠCh ief", - "ĠPro fess", - "ĠF red", - "ĠSp ace", - "Ġown ed", - "Ġmanag er", - "Ġdet erm", - "Ġt aking", - "Ġf ood", - "Ġent er", - "Ġacc ording", - "ĠH ot", - "Ġc ases", - "ĠRes earch", - "ĠYou ng", - "Ġte xt", - "Ġgen us", - "ĠH a", - "r ich", - "ĠF re", - "Ġn ames", - "Ġind ependent", - "ĠC ross", - "Ġle t", - "f ect", - "Ġwh om", - "us band", - "ly ing", - "Ġp ay", - "Ġdestro y", - "C an", - "ĠD ou", - "Ġsc ience", - "Ġrem ov", - "p ress", - "Ġm er", - "Ġoffic er", - "Ġ197 6", - "st ate", - "ĠB us", - "ĠLe e", - "c ient", - "Ġc red", - "7 5", - "Ġsc ore", - "Ġapprox imately", - "ĠH aw", - "b on", - "Ġmin or", - "Ġob serv", - "Ġcomp let", - "Ġbre ak", - "ĠS pec", - "in et", - "ĠC D", - "Ġv eh", - "ib ility", - "ino is", - "Ġfun ction", - "Ġe ver", - "ĠO ut", - "Ġsc reen", - "Ġar my", - "Ġ198 1", - "Ġsp ent", - "Ġconc ern", - "ĠH ow", - "b ury", - "ĠJ im", - "o id", - "ĠI ran", - "pe cted", - "Ġaddition al", - "w w", - "ĠC le", - "Ġsqu ad", - "Ġph il", - "R es", - "Ġnot ed", - "Ġst ri", - "en ced", - "Ġcomple x", - "Ġs elf", - "Ġbo x", - "ak a", - "ĠB ank", - "Ġ i", - "ach us", - "Ġc eleb", - "if y", - "ost on", - "Ġc ounty", - "Ġiss ues", - "ĠE ducation", - "ain e", - "ĠO x", - "ĠI nt", - "ĠM o", - "il ed", - "Ġch ief", - "en ces", - "Ġsen ior", - "4 5", - "Ġmon th", - "ĠDemocrat ic", - "Ġb attle", - "a ction", - "ĠP ak", - "p on", - "Ġcom mercial", - "Ġl ived", - "ol s", - "Ġs ummer", - "Ġele ctions", - ": #", - "S A", - "ĠEng ine", - "Ġits elf", - "k ing", - "w ith", - "ĠE v", - "Ġ197 4", - "Ġprom ot", - "Ġmult iple", - "ig g", - "Ġ196 8", - "ĠS outhern", - "Ġ197 8", - "uf fer", - "Ġrel ated", - "read y", - "ĠB ul", - "ĠC ivil", - "Ġn ar", - "ay a", - "Ġpolitic ians", - "ĠS ocial", - "Ġfoc us", - "er ry", - "Ġhig hest", - "Ġd ate", - "G en", - "Ġro ute", - "Ġs at", - "Ġso on", - "ĠT w", - "i as", - "ĠMich igan", - "ĠII I", - "d own", - "Ġtradition al", - "Ġto o", - "Ġf uture", - "ĠPol and", - "Ġd on", - "ĠC amb", - "Ġmon ey", - "Ġlit tle", - "ĠL ife", - "Ġqu est", - "ĠV i", - "Ġes pecially", - "m m", - "ĠS pr", - "Ġopen ing", - "ard en", - "Ġhig her", - "ĠS ar", - "ac her", - "Ġlo ok", - "B l", - "arri age", - "Ġ197 5", - "ĠP rem", - "y an", - "ĠS ol", - "18 8", - "Ġrequ ired", - "achus etts", - "ĠJ e", - "es h", - "ĠB re", - "um s", - "and s", - "Ġp aint", - "ir a", - "Ġun ion", - "ĠL uc", - "Ġinter view", - "al le", - "em porary", - "B rit", - "ĠBrit ain", - "Ġen vironment", - "i Äĩ", - "ĠScot land", - "ĠIn c", - "Ġc al", - "ob al", - "im a", - "Ġappear ance", - "Ġcont ains", - "h ouse", - "Ġ194 5", - "M ed", - "k ins", - "Ġbel ow", - "ad or", - "ĠOh io", - "bur gh", - "Ġproper ty", - "Ġpri or", - "ĠM ah", - "ri e", - "ĠD utch", - "ĠJ ack", - "ĠJ ersey", - "w a", - "Ġvict ory", - "A ust", - "Ġset t", - "ch ange", - "Ġ197 7", - "ro wn", - "Ġent ered", - "Ġme ans", - "Ġsele cted", - "ĠM at", - "ĠH el", - "Ġstud ied", - "ĠRail way", - "Ġdec ision", - "ĠEd ward", - "Å ¡", - "Ġed itor", - "ĠK ent", - "Ġh usband", - "ĠPhil ipp", - "ĠJ o", - "Ġpract ice", - "Ġsur round", - "st anding", - "Ġloc ation", - "Ġpro f", - "ut en", - "Ġ194 0", - "N ational", - "ĠAs ian", - "ĠPac ific", - "Ġe mer", - "Ġassoci ated", - "n o", - "emor ial", - "Ġun it", - "3 3", - "ĠL ine", - "vent ion", - "j a", - "Ġm ission", - "Ġ197 3", - "Ġstruct ures", - "Ġb ass", - "Y ear", - "ĠJ ud", - "Ġmur der", - "Ġtr ade", - "Ġr ad", - "ĠIll inois", - "Ð °", - "N E", - "ĠM ost", - "Ġcer tain", - "ĠR adio", - "op er", - "Ġcent re", - "d s", - "Ġ197 1", - "v ey", - "ĠNew s", - "Ġstand ard", - "ĠCon ference", - "Ġret ired", - "Ġse at", - "Ġad op", - "Ġearl ier", - "Ġship s", - "Ġsup er", - "S ports", - "Ġar ran", - "ĠL ong", - "Ġdep artment", - "Ġmanag ement", - "Ġrun ning", - "200 7", - "ĠQue en", - "Ġ ens", - "Ġbecom ing", - 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\ No newline at end of file diff --git a/models/components/layers/tokenizers.py b/models/components/layers/tokenizers.py index 74ff2443..cb6bd148 100644 --- a/models/components/layers/tokenizers.py +++ b/models/components/layers/tokenizers.py @@ -9,11 +9,16 @@ from trainers.data_utils import load_data from models.components.layers import utils +# text processing imports +import re +import string + # Custom BPE tokenizer imports from tokenizers import Tokenizer from tokenizers.models import BPE from tokenizers.trainers import BpeTrainer -from tokenizers.pre_tokenizers import Whitespace +from tokenizers.pre_tokenizers import PreTokenizer, WhitespaceSplit, Sequence, Split +from tokenizers.normalizers import NFD, StripAccents, Replace, Sequence as NormalizerSequence class TokenizerClass: @@ -130,50 +135,89 @@ def decode_batch(self, token_lists): class BPETokenizer(TokenizerClass): - def __init__(self, vocab_size: int, dataset_name: str): + def __init__(self, vocab_size: int, dataset_name: str, simplify: bool = True): super().__init__() self.vocab_size = vocab_size self.dataset_name = dataset_name + self.simplify = simplify + if not utils.check_if_tokenizer_exists( - tokenizer_type="bpe", vocab_size=vocab_size, dataset_name=dataset_name + tokenizer_type="bpe", + vocab_size=vocab_size, + dataset_name=dataset_name, + simplify=simplify ): self._train_tokenizer() self._save() else: self._load() - self.pad_token = self.tokenizer.token_to_id("<|pad|>") - self.eot_token = self.tokenizer.token_to_id("<|endoftext|>") - self.unk_token = self.tokenizer.token_to_id("<|unk|>") # shouldn't be necessary, but just to be safe + self.pad_token = self.tokenizer.token_to_id("[PAD]") + self.eot_token = self.tokenizer.token_to_id("[EOT]") + self.unk_token = self.tokenizer.token_to_id("[UNK]") def _train_tokenizer(self, verbose: bool = True): raw_datasets = load_data(dataset_name=self.dataset_name) + + # Pattern string without compiling + non_english_char_pattern = r'[^a-zA-Z0-9\s' + re.escape(string.punctuation) + r']' + + # Define special tokens + special_tokens = ["[PAD]", "[EOT]", "[UNK]"] + + # Define initial alphabet, include digits to ensure they are treated as individual tokens + initial_alphabet = list(string.ascii_letters + string.digits + string.punctuation + ' \n\t') + # Initialize a new tokenizer - self.tokenizer = Tokenizer(BPE(unk_token="<|unk|>", dropout=0.1)) + self.tokenizer = Tokenizer(BPE(unk_token="[UNK]", dropout=0.1)) - # Define special tokens - special_tokens = ["<|pad|>", "<|endoftext|>", "<|unk|>"] # Initialize the trainer trainer = BpeTrainer( vocab_size=self.vocab_size, min_frequency=5, - limit_alphabet=1000, special_tokens=special_tokens, + initial_alphabet=initial_alphabet, show_progress=verbose ) + + if self.simplify: + # Set the normalizer to remove non-English characters + self.tokenizer.normalizer = NormalizerSequence([ + NFD(), # Decompose unicode characters + StripAccents(), # Remove accents + Replace(non_english_char_pattern, ""), # Use pattern string directly + ]) + + # Custom pre-tokenizer to split numbers into individual digits + self.tokenizer.pre_tokenizer = Sequence([ + WhitespaceSplit(), # Split on whitespace + # Split digits and isolate them + Split(r'\d', behavior='isolated'), # Each digit is a separate token + ]) - # Pre-tokenize using whitespace - self.tokenizer.pre_tokenizer = Whitespace() - - # Prepare the training data + # Prepare the training data with filtering def batch_iterator(): - for i in range(0, len(raw_datasets["train"]), 1000): - yield raw_datasets["train"][i:i+1000]["text"] + batch_size = 1000 + for i in range(0, len(raw_datasets["train"]), batch_size): + batch_texts = raw_datasets["train"][i:i+batch_size]["text"] + # Filter and clean texts + cleaned_texts = [] + for text in batch_texts: + text = text.strip() + # Remove non-English characters + cleaned_text = re.sub(non_english_char_pattern, '', text) + if cleaned_text: + cleaned_texts.append(cleaned_text) + if cleaned_texts: + yield cleaned_texts # Train the tokenizer - self.tokenizer.train_from_iterator(batch_iterator(), trainer=trainer) + self.tokenizer.train_from_iterator( + batch_iterator(), + trainer=trainer + ) # print if verbose: @@ -220,29 +264,34 @@ def _load(self): TOKENIZER_DICT = { # a number of standard tiktoken tokenizers - "o200k_base": lambda vocab_size, dataset_name: TiktokenTokenizer(tokenizer_name="o200k_base"), - "cl100k_base": lambda vocab_size, dataset_name: TiktokenTokenizer(tokenizer_name="cl100k_base"), - "p50k_base": lambda vocab_size, dataset_name: TiktokenTokenizer(tokenizer_name="p50k_base"), - "gpt2": lambda vocab_size, dataset_name: TiktokenTokenizer(tokenizer_name="gpt2"), + "o200k_base": lambda vocab_size, dataset_name, simplify: TiktokenTokenizer(tokenizer_name="o200k_base"), + "cl100k_base": lambda vocab_size, dataset_name, simplify: TiktokenTokenizer(tokenizer_name="cl100k_base"), + "p50k_base": lambda vocab_size, dataset_name, simplify: TiktokenTokenizer(tokenizer_name="p50k_base"), + "gpt2": lambda vocab_size, dataset_name, simplify: TiktokenTokenizer(tokenizer_name="gpt2"), # a number of standard huggingface tokenizers - "llama_32k": lambda vocab_size, dataset_name: HuggingfaceTokenizer(tokenizer_path="chavinlo/alpaca-native"), - "opt_50k": lambda vocab_size, dataset_name: HuggingfaceTokenizer(tokenizer_path="facebook/opt-1.3b"), - "mistral_32k": lambda vocab_size, dataset_name: HuggingfaceTokenizer(tokenizer_path="mistralai/Mistral-7B-v0.1"), + "llama_32k": lambda vocab_size, dataset_name, simplify: HuggingfaceTokenizer(tokenizer_path="chavinlo/alpaca-native"), + "opt_50k": lambda vocab_size, dataset_name, simplify: HuggingfaceTokenizer(tokenizer_path="facebook/opt-1.3b"), + "mistral_32k": lambda vocab_size, dataset_name, simplify: HuggingfaceTokenizer(tokenizer_path="mistralai/Mistral-7B-v0.1"), # a custom BPE tokenizer (using the HF implementation) - "bpe": lambda vocab_size, dataset_name: BPETokenizer( - vocab_size=vocab_size, dataset_name=dataset_name + "bpe": lambda vocab_size, dataset_name, simplify: BPETokenizer( + vocab_size=vocab_size, dataset_name=dataset_name, simplify=simplify ), } -def build_tokenizer(tokenizer_type, vocab_size, dataset_name) -> TokenizerClass: +def build_tokenizer( + tokenizer_type, + vocab_size, + dataset_name, + simplify, + ) -> TokenizerClass: """ Build the tokenizer. """ assert tokenizer_type in TOKENIZER_DICT, \ f"Tokenizer type {tokenizer_type} not found. The available tokenizers are: {list(TOKENIZER_DICT.keys())}" return TOKENIZER_DICT[tokenizer_type]( - vocab_size=vocab_size, dataset_name=dataset_name + vocab_size=vocab_size, dataset_name=dataset_name, simplify=simplify ) diff --git a/models/components/layers/utils.py b/models/components/layers/utils.py index ab499b15..c2cf4d7f 100644 --- a/models/components/layers/utils.py +++ b/models/components/layers/utils.py @@ -6,7 +6,7 @@ ### Tokenizer Utils -def get_tokenizer_path(tokenizer_type, vocab_size, dataset_name): +def get_tokenizer_path(tokenizer_type, vocab_size, dataset_name, simplify): """ Get the path to the tokenizer. """ @@ -21,12 +21,19 @@ def get_tokenizer_path(tokenizer_type, vocab_size, dataset_name): tokenizer_full_path = os.path.join( tokenizer_folder, f"{tokenizer_type}_{dataset_name}_{vocab_size}.model" ) + if simplify: + tokenizer_full_path = tokenizer_full_path.replace(".model", "_simplified.model") return tokenizer_folder, tokenizer_full_path -def check_if_tokenizer_exists(tokenizer_type, vocab_size, dataset_name): +def check_if_tokenizer_exists(tokenizer_type, vocab_size, dataset_name, simplify): """ Check if the tokenizer already exists. """ - _, tokenizer_path = get_tokenizer_path(tokenizer_type, vocab_size, dataset_name) + _, tokenizer_path = get_tokenizer_path( + tokenizer_type=tokenizer_type, + vocab_size=vocab_size, + dataset_name=dataset_name, + simplify=simplify + ) return os.path.exists(tokenizer_path) diff --git a/models/embedding_models.py b/models/embedding_models.py index 651eed28..95d53a73 100644 --- a/models/embedding_models.py +++ b/models/embedding_models.py @@ -102,6 +102,7 @@ def __init__(self, model_cfg): tokenizer_type=model_cfg["tokenizer_type"], vocab_size=model_cfg.get("vocab_size", None), dataset_name=model_cfg.get("tokenizer_dataset_name", None), + simplify=model_cfg.get("tokenizer_simplify", True), # Default True ) # build the token embeddings From 31e1edb8f904ca2ecff219e48854747b721b5da3 Mon Sep 17 00:00:00 2001 From: LeonGuertler Date: Fri, 13 Sep 2024 14:00:35 +0800 Subject: [PATCH 153/209] debugging --- evals/mcqs/mcq_evaluator.py | 3 +- evals/text_generation/prompts.json | 43 +++++ .../text_generation_evaluator.py | 149 ++++++++++++++---- models/components/layers/tokenizers.py | 1 + requirements.txt | 4 +- 5 files changed, 167 insertions(+), 33 deletions(-) create mode 100644 evals/text_generation/prompts.json diff --git a/evals/mcqs/mcq_evaluator.py b/evals/mcqs/mcq_evaluator.py index 0f526403..b9b28bc3 100644 --- a/evals/mcqs/mcq_evaluator.py +++ b/evals/mcqs/mcq_evaluator.py @@ -1,5 +1,6 @@ """ -Evaluator class for evaluating models. +Evaluator class for evaluating the models ability to answer +different mcq style questions correctly. """ import torch diff --git a/evals/text_generation/prompts.json b/evals/text_generation/prompts.json new file mode 100644 index 00000000..cdc30a58 --- /dev/null +++ b/evals/text_generation/prompts.json @@ -0,0 +1,43 @@ +[ + { + "difficulty": "easy", + "prompt": "The morning sun peeked through the curtains, waking Sarah gently from her sleep. She stretched lazily and thought about the day ahead..." + }, + { + "difficulty": "easy", + "prompt": "Walking along the beach, the soft sand beneath his feet, Jake found a mysterious bottle washed up on the shore. Curious, he picked it up and..." + }, + { + "difficulty": "easy", + "prompt": "In a small village surrounded by mountains, there was a legend about a hidden treasure that no one had ever found. Many had searched, but..." + }, + { + "difficulty": "easy", + "prompt": "Emma opened the old, dusty book she found in her grandmother's attic. As she turned the pages, she discovered it was a diary from decades ago that revealed..." + }, + { + "difficulty": "easy", + "prompt": "The crowd cheered loudly as the final seconds ticked away. The underdog team was about to win the championship for the first time, and the players could hardly believe..." + }, + { + "difficulty": "hard", + "prompt": "The complex interplay between dark matter and visible matter in the universe presents one of the most intriguing puzzles in modern astrophysics. Researchers continue to explore..." + }, + { + "difficulty": "hard", + "prompt": "Amidst the rapidly evolving landscape of artificial intelligence, ethical considerations have become increasingly paramount. One of the most pressing issues is..." + }, + { + "difficulty": "hard", + "prompt": "The socioeconomic impacts of climate change are profound and far-reaching, affecting everything from agriculture to global migration patterns. Policymakers are challenged to..." + }, + { + "difficulty": "hard", + "prompt": "Exploring the depths of human consciousness, philosophers have long debated the nature of reality and perception. The concept of subjective experience suggests that..." + }, + { + "difficulty": "hard", + "prompt": "Advancements in quantum computing promise to revolutionize various industries by solving complex problems at unprecedented speeds. However, one of the major challenges that remains is..." + } + ] + \ No newline at end of file diff --git a/evals/text_generation/text_generation_evaluator.py b/evals/text_generation/text_generation_evaluator.py index e5a2005c..5ab07c04 100644 --- a/evals/text_generation/text_generation_evaluator.py +++ b/evals/text_generation/text_generation_evaluator.py @@ -1,40 +1,127 @@ """ -Evaluate the quality of some generated text by calculating the everage perplexity -of three larger models on the generated text. +Evaluator class for evaluating the models ability to generate +error-free gramatically correct and non-repetitive text. """ -import torch -import numpy as np +import language_tool_python +import textstat +from nltk.translate.bleu_score import sentence_bleu, SmoothingFunction +from collections import Counter +import math +import json -class TextGenerationEvaluator: - def __init__(self, model): - self.model = model +class TextEvaluator: + def __init__(self, model, prompts, references=None): + """ + Initializes the TextEvaluator. + + :param model: The language model to evaluate. + :param prompts: A list of prompts to generate text from. + :param references: A list of reference texts corresponding to the prompts (optional). + """ + self.model = model + with open('prompts.json', 'r') as f: + self.prompts = f.read() + self.references = references if references else ["" for _ in prompts] + self.generated_texts = [] + self.results = [] + + # Initialize the grammar checker + self.grammar_tool = language_tool_python.LanguageTool('en-US') + + def generate_texts(self): + """Generates texts from the prompts using the model.""" + for i in self.prompts: + + # Generate text using your model (placeholder code) + generated_text = self.model.generate( + prompt_item["prompt"], + ) + self.p + self.generated_texts.append(generated_text) + + def calculate_metrics(self): + """Calculates the specified metrics for the generated texts.""" + for idx, text in enumerate(self.generated_texts): + # Grammatical Error Detection + matches = self.grammar_tool.check(text) + num_errors = len(matches) + words = text.split() + errors_per_100_words = (num_errors / len(words)) * 100 if words else 0 + + # Readability Scores + readability = textstat.flesch_reading_ease(text) + + # Distinct-N Metrics + distinct_1 = self.distinct_n_gram_ratio(text, 1) + distinct_2 = self.distinct_n_gram_ratio(text, 2) - # Ensuret he model is in evaluation mode - self.model.eval() + # Self-BLEU (requires multiple texts) + self_bleu = self.calculate_self_bleu(idx) - self.ppl_models = { - "llama-3-8b": None - } + # Entropy Measures + entropy = self.calculate_entropy(text, 1) - self.prompts = [ - "generate some text" - ] + # Store the results + self.results.append({ + 'prompt': self.prompts[idx], + 'generated_text': text, + 'errors_per_100_words': errors_per_100_words, + 'readability': readability, + 'distinct_1': distinct_1, + 'distinct_2': distinct_2, + 'self_bleu': self_bleu, + 'entropy': entropy + }) + + def distinct_n_gram_ratio(self, text, n): + tokens = text.split() + n_grams = list(zip(*[tokens[i:] for i in range(n)])) + total_ngrams = len(n_grams) + unique_ngrams = len(set(n_grams)) + return unique_ngrams / total_ngrams if total_ngrams > 0 else 0 + + def calculate_self_bleu(self, idx): + # Calculate BLEU score of the generated text against other generated texts + candidate = self.generated_texts[idx].split() + references = [text.split() for i, text in enumerate(self.generated_texts) if i != idx] + if not references: + return 0 # Cannot compute self-BLEU with only one text + smoothing = SmoothingFunction().method1 + bleu_scores = [sentence_bleu([ref], candidate, smoothing_function=smoothing) for ref in references] + return sum(bleu_scores) / len(bleu_scores) + + def calculate_entropy(self, text, n): + tokens = text.split() + n_grams = list(zip(*[tokens[i:] for i in range(n)])) + counts = Counter(n_grams) + total = sum(counts.values()) + entropy = -sum((count / total) * math.log(count / total, 2) for count in counts.values()) + return entropy def evaluate(self): - """ - For each prompt, first, generate some text using the model. - Then calculate the average perplexity for each control model. - Finally, return the average perplexity of the control models. - """ - - perplexities = [] - for prompt in self.prompts: - generated_text = self.model.generate(prompt) - for model_name, model in self.ppl_models.items(): - # TODO use the model to calculate per-token perplexity - perplexities.append(perplexity) - - - return np.mean(perplexities) - \ No newline at end of file + """Runs the full evaluation.""" + self.generate_texts() + self.calculate_metrics() + + def report_results(self): + """Returns the evaluation results.""" + return self.results + + def print_summary(self): + """Prints a summary of the evaluation metrics.""" + num_texts = len(self.results) + avg_errors = sum(r['errors_per_100_words'] for r in self.results) / num_texts + avg_readability = sum(r['readability'] for r in self.results) / num_texts + avg_distinct_1 = sum(r['distinct_1'] for r in self.results) / num_texts + avg_distinct_2 = sum(r['distinct_2'] for r in self.results) / num_texts + avg_self_bleu = sum(r['self_bleu'] for r in self.results) / num_texts + avg_entropy = sum(r['entropy'] for r in self.results) / num_texts + + print("Evaluation Summary:") + print(f"Average Errors per 100 Words: {avg_errors:.2f}") + print(f"Average Readability Score: {avg_readability:.2f}") + print(f"Average Distinct-1 Score: {avg_distinct_1:.4f}") + print(f"Average Distinct-2 Score: {avg_distinct_2:.4f}") + print(f"Average Self-BLEU Score: {avg_self_bleu:.4f}") + print(f"Average Entropy: {avg_entropy:.4f}") diff --git a/models/components/layers/tokenizers.py b/models/components/layers/tokenizers.py index cb6bd148..d07543d1 100644 --- a/models/components/layers/tokenizers.py +++ b/models/components/layers/tokenizers.py @@ -244,6 +244,7 @@ def _save(self): tokenizer_type="bpe", vocab_size=self.vocab_size, dataset_name=self.dataset_name, + simplify=self.simplify ) self.tokenizer.save(str(tokenizer_path)) diff --git a/requirements.txt b/requirements.txt index 867e73e2..695c4e83 100644 --- a/requirements.txt +++ b/requirements.txt @@ -6,4 +6,6 @@ mteb pre-commit prettytable levenshtein -sentencepiece \ No newline at end of file +sentencepiece +textstat +language-tool-python \ No newline at end of file From b8a643a435021863575b5b4be9973179b9f70065 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 13 Sep 2024 15:02:57 +0800 Subject: [PATCH 154/209] debugging --- models/components/layers/utils.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/models/components/layers/utils.py b/models/components/layers/utils.py index c2cf4d7f..e20851db 100644 --- a/models/components/layers/utils.py +++ b/models/components/layers/utils.py @@ -18,6 +18,11 @@ def get_tokenizer_path(tokenizer_type, vocab_size, dataset_name, simplify): tokenizer_folder = os.path.join( project_root, "components", "layers", "tokenizer_models" ) + + # create folder if not exists + if not os.path.exists(tokenizer_folder): + os.mkdir(tokenizer_folder) + tokenizer_full_path = os.path.join( tokenizer_folder, f"{tokenizer_type}_{dataset_name}_{vocab_size}.model" ) From 706df1eaa846aee7fd3c14ae4a6934334f2f30ae Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 13 Sep 2024 21:33:25 +0800 Subject: [PATCH 155/209] debugging --- check_size.py | 2 +- configs/generate.yaml | 10 +- configs/generator/beam_search.yaml | 1 + configs/generator/standard.yaml | 4 +- configs/{test.yaml => test/test_hf.yaml} | 18 +- configs/test/test_stlm.yaml | 20 + .../{baseline.yaml => baseline-10m.yaml} | 3 + ...{baseline-large.yaml => baseline-50m.yaml} | 0 configs/train/baseline.yaml~ | 99 - eval.py | 4 +- evals/mcqs/load_benchmarks.py | 4 +- generate.py | 4 +- models/build_models.py | 11 +- .../bpe_en_wiki_4000_simplified.model | 7984 +++++++++++++++++ models/components/layers/tokenizers.py | 3 +- train.py | 6 +- trainers/base_trainer.py | 26 +- trainers/prepare.py | 2 - 18 files changed, 8065 insertions(+), 136 deletions(-) rename configs/{test.yaml => test/test_hf.yaml} (69%) create mode 100644 configs/test/test_stlm.yaml rename configs/train/{baseline.yaml => baseline-10m.yaml} (99%) rename configs/train/{baseline-large.yaml => baseline-50m.yaml} (100%) delete mode 100644 configs/train/baseline.yaml~ create mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_4000_simplified.model diff --git a/check_size.py b/check_size.py index 0595a76a..1f4c4849 100644 --- a/check_size.py +++ b/check_size.py @@ -9,7 +9,7 @@ def main(cfg): if "full_configs" in cfg: cfg = cfg["full_configs"] - model = build_model(model_cfg=cfg["model"])[0] + model, _ = build_model(model_cfg=cfg["model"]) # print full parameter count print_model_stats(model) diff --git a/configs/generate.yaml b/configs/generate.yaml index ecbf7e0c..93834ccb 100644 --- a/configs/generate.yaml +++ b/configs/generate.yaml @@ -1,9 +1,5 @@ +defaults: + - generator model_ckpt: "checkpoints/...pt" -temperature: 1.2 -top_k: 200 -max_new_tokens: 100 -beam_width: 15 -use_sampling: true -repetition_penalty: 1.2 -repetition_window: 32 +max_new_tokens: 200 input_text: "Earth is the third planet from the Sun and the only astronomical object known to harbor life. This is enabled by Earth being an ocean world, the only one in the Solar System sustaining liquid surface water." diff --git a/configs/generator/beam_search.yaml b/configs/generator/beam_search.yaml index 38a69cbd..c4c24a8f 100644 --- a/configs/generator/beam_search.yaml +++ b/configs/generator/beam_search.yaml @@ -1,3 +1,4 @@ +generator_type: beam_search temperature: 1.2 top_k: 200 max_new_tokens: 100 diff --git a/configs/generator/standard.yaml b/configs/generator/standard.yaml index 38a69cbd..b4202f07 100644 --- a/configs/generator/standard.yaml +++ b/configs/generator/standard.yaml @@ -1,8 +1,6 @@ +generator_type: standard temperature: 1.2 top_k: 200 -max_new_tokens: 100 -beam_width: 15 -use_sampling: true repetition_penalty: 1.2 repetition_window: 32 input_text: "Let's consider a simple Python program that adds two integers." diff --git a/configs/test.yaml b/configs/test/test_hf.yaml similarity index 69% rename from configs/test.yaml rename to configs/test/test_hf.yaml index e9c31e43..bd66f55f 100644 --- a/configs/test.yaml +++ b/configs/test/test_hf.yaml @@ -1,7 +1,17 @@ -defaults: - # - testing: "llm_harness" - - testing: "baseline" -#model_ckpt: "checkpoints/..." +mcq_benchmarks: + - "winograd" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + model: model_string: "openai-community/gpt2" flash_attention: false diff --git a/configs/test/test_stlm.yaml b/configs/test/test_stlm.yaml new file mode 100644 index 00000000..88872fe0 --- /dev/null +++ b/configs/test/test_stlm.yaml @@ -0,0 +1,20 @@ +mcq_benchmarks: + - "winograd" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + + +model_ckpt: "checkpoints/..." +generate_config: + temperature: 0.8 + top_k: 10 +output_path: "results.json" diff --git a/configs/train/baseline.yaml b/configs/train/baseline-10m.yaml similarity index 99% rename from configs/train/baseline.yaml rename to configs/train/baseline-10m.yaml index afe744ca..a44de3fb 100644 --- a/configs/train/baseline.yaml +++ b/configs/train/baseline-10m.yaml @@ -1,6 +1,7 @@ model: core_model_type: generic num_layers: 8 + ffn: ffn_type: generic ffn_dim: 1536 @@ -8,6 +9,7 @@ model: normalization: rms_norm bias: true dropout: 0.0 + attn: attn_type: causal num_kv_heads: 12 @@ -15,6 +17,7 @@ model: normalization: rms_norm bias: true dropout: false + embedding_model_type: generic tokenizer_type: bpe tokenizer_dataset_name: en_wiki diff --git a/configs/train/baseline-large.yaml b/configs/train/baseline-50m.yaml similarity index 100% rename from configs/train/baseline-large.yaml rename to configs/train/baseline-50m.yaml diff --git a/configs/train/baseline.yaml~ b/configs/train/baseline.yaml~ deleted file mode 100644 index a120244a..00000000 --- a/configs/train/baseline.yaml~ +++ /dev/null @@ -1,99 +0,0 @@ -model: - core_model_type: generic - num_layers: 8 - ffn: - ffn_type: generic - ffn_dim: 1536 - activation: gelu - normalization: rms_norm - bias: true - dropout: 0.0 - attn: - attn_type: causal - num_kv_heads: 12 - num_q_heads: 4 - normalization: rms_norm - bias: true - dropout: false - embedding_model_type: generic - tokenizer_type: bpe - tokenizer_dataset_name: en_wiki - vocab_size: 4000 - - hidden_dim: 384 - context_window: 2048 - - lm_head_type: generic - lm_head_normalization: rms_norm - lm_head_bias: false - lm_head_dropout: 0.0 - - model_shell_type: standard - embedding_weight_tying: true - ffn_weight_tying: true - positional_encoding_type: rope - -trainer: - trainer_type: base_trainer - dataset: pints - batch_size: 24 - gradient_accumulation_steps: 10 - - max_iters: 80000 - eval_interval: 2000 - log_interval: 10 - checkpoint_interval: 20000 - eval_iters: 1000 - - eval: - - mcq_benchmarks: - - "winograd" - - "hellaswag" - - "arc_easy" - - "blimp" - - "piqa" - - "race_middle" - - "race_high" - - "boolq" - - "openbook_qa_closed" - - "openbook_qa_open" - - "copa" - - "commonsense_qa" - num_samples: 1000 - - optimizer: - optimizer_name: adamW - lr: 6.0e-4 - min_lr: 6.0e-6 - weight_decay: 0.01 - beta1: 0.9 - beta2: 0.999 - grad_clip: 1.0 - - lr_scheduler: - name: cosine - warmup_iters: 10000 - lr_decay_iters: - - dataloader: - name: standard - - datasampling: - name: standard - - loss_fn: - name: cross_entropy - -general: - logging: - wandb_log: false - wandb_project: SuperTinyLanguageModels - wandb_run_name: Null - - paths: - output_dir: outputs - data_dir: data - checkpoint_dir: checkpoints - eval_dir: evals - seed: 489 - device: cuda diff --git a/eval.py b/eval.py index daba358c..24e08cdd 100644 --- a/eval.py +++ b/eval.py @@ -18,10 +18,10 @@ def main(cfg): # set the checkpoint path to absolute path cfg["model_ckpt"] = hydra.utils.to_absolute_path(cfg["model_ckpt"]) - model = build_model(checkpoint=torch.load(cfg["model_ckpt"]))[0] + model, _ = build_model(checkpoint=torch.load(cfg["model_ckpt"])) # otherwise build the model from scratch (e.g. for external pretrained models) else: - model = build_model(model_cfg=cfg["model"])[0] + model, _ = build_model(model_cfg=cfg["model"]) model.eval() diff --git a/evals/mcqs/load_benchmarks.py b/evals/mcqs/load_benchmarks.py index 3ed1ed06..ab7270c3 100644 --- a/evals/mcqs/load_benchmarks.py +++ b/evals/mcqs/load_benchmarks.py @@ -9,10 +9,12 @@ def get_idx_list(dataset_length, num_samples): Given the dataset length and the number of samples, return a list of indices to sample from the dataset """ + # re-set seed every time for consistency + np.random.seed(42) return np.random.choice( dataset_length, dataset_length if num_samples is None else min(num_samples, dataset_length), - replace=False + replace=False, ) def load_arc_easy(version, num_samples=None): diff --git a/generate.py b/generate.py index 70eaf70a..c658fccc 100644 --- a/generate.py +++ b/generate.py @@ -21,10 +21,10 @@ def main(cfg): # load checkpoint from the path device = "cpu" if not torch.cuda.is_available() else "cuda" - model = build_model( + model, _ = build_model( checkpoint_path=cfg["model_ckpt"], device=device - )[0] + ) # put model into eval mode model.eval() diff --git a/models/build_models.py b/models/build_models.py index d01095f8..2b5c7987 100644 --- a/models/build_models.py +++ b/models/build_models.py @@ -50,14 +50,19 @@ def build_model(model_cfg=None, checkpoint_path=None, device="cuda"): # load the model weights model.load_state_dict(checkpoint["model"]) - current_iter = checkpoint["iter_num"] + + loaded_train_config = { + "optimizer": checkpoint["optimizer"], + "iter_num": checkpoint["iter_num"], + "config": checkpoint["config"] + } else: # initialize model model = initialize_model(model_cfg) - current_iter = 0 + loaded_train_config = None - return model, current_iter + return model, loaded_train_config EMBEDDING_MODEL_DICT = { diff --git a/models/components/layers/tokenizer_models/bpe_en_wiki_4000_simplified.model b/models/components/layers/tokenizer_models/bpe_en_wiki_4000_simplified.model new file mode 100644 index 00000000..8c7289ce --- /dev/null +++ b/models/components/layers/tokenizer_models/bpe_en_wiki_4000_simplified.model @@ -0,0 +1,7984 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 0, + "content": "[PAD]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 1, + "content": "[EOT]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 2, + "content": "[UNK]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + } + ], + "normalizer": { + "type": "Sequence", + "normalizers": [ + { + "type": "NFD" + }, + { + "type": "StripAccents" + }, + { + "type": "Replace", + "pattern": { + 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S.", + "l angu", + "C up", + "C oun", + "rece ived", + "er y", + "a ul", + "res p", + "ar ound", + "2 4", + "re port", + "se m", + "ed uc", + "es tern", + "l ast", + "b an", + "c le", + "if ied", + "tr ain", + "de f", + "3 )", + "w ater", + "iz e", + "S ch", + "c ould", + "18 6", + "um n", + "h al", + "ilit ary", + "qu e", + "c or", + "pr om", + "m atch", + "align =", + "all ow", + "ar s", + "y al", + "aw ard", + "ord er", + "5 0", + "ch an", + "H ouse", + "w est", + "w in", + "l ar", + "s ix", + "18 7", + "p ut", + "H ar", + "n or", + "d em", + "cord ing", + "st ation", + "L ist", + "g et", + "ion .", + "c amp", + "h ip", + "i en", + "P ark", + "c as", + "M al", + "re present", + "s ol", + "um mer", + "is su", + "dep end", + "( 201", + "mov ed", + "gr ad", + "Count y", + "O ff", + "r ad", + "v il", + "le vel", + "B er", + "n er", + "d i", + "A .", + "l ess", + "row n", + "oc ial", + "um ent", + "i ence", + "n orth", + "sing le", + "h istor", + "i .", + "st at", + "M ich", + "l ing", + "th ird", + "f ive", + "s aid", + "b or", + "pop ulation", + "l im", + "sh ort", + "t ed", + "comp any", + "in es", + "is ,", + "H owever,", + "D es", + "h and", + "D uring", + "j ust", + "o to", + "8 )", + "U .S.", + "l arg", + "gen er", + "m id", + "ne y", + "with in", + "t est", + "ap p", + "G l", + "or ed", + "ann oun", + "bo ard", + "re w", + "5 )", + "ver y", + "ter m", + "ish ed", + "2 3", + "p ost", + "am b", + "our n", + "7 )", + "6 )", + "act iv", + "p ower", + "4 )", + "s outh", + "re m", + "wom en", + "spec ies", + "chil dr", + "T V", + "iv en", + "w inn", + "describ ed", + "ur ther", + "Count y,", + "au thor", + "v i", + "an a", + "incl ude", + "re f", + "z e", + "it er", + "w ood", + "Colle ge", + "d en", + "B y", + "set t", + "r ac", + "Eng land", + "us ing", + "in k", + "i for", + "at ely", + "s w", + "f ather", + "A ct", + "comp let", + "An g", + "dif fer", + "s ch", + "id es", + "i ate", + "ifor n", + "Lond on", + "ul l", + "vill age", + "cons id", + "bec ause", + "build ing", + "Cal iforn", + "i end", + "con stru", + "con om", + "part ment", + "an e", + "E m", + "v ious", + "feren ce", + "k ill", + "includ ed", + "h istory", + "se qu", + "ide o", + "B el", + "id ge", + "g ames", + "E ast", + "O ne", + "S tr", + "Rom an", + "L i", + "in du", + "estab lish", + "D em", + "cent er", + "origin al", + "s elf", + "um an", + "o de", + "pe ct", + "lar ge", + "c rit", + "ass oci", + "n ov", + "us ,", + "Q u", + "m ag", + "ak es", + "d el", + "F in", + "use um", + "ct ure", + "S m", + "et y", + "comp an", + "2 2", + "add ition", + "Ch urch", + "m a", + "Gen eral", + "e qu", + "polit ic", + "s it", + "( 199", + "B C", + "play er", + "charac ter", + "m ale", + "on es", + "M usic", + "v oc", + "n ing", + "ough t", + "at s", + "ain s", + "peri od", + "9 )", + "As soci", + "w ent", + "W il", + "v ir", + "n et", + "Austral ian", + "1 00", + "cl os", + "tr ad", + "s en", + "us h", + "death s", + "201 0", + "k m", + "iz ation", + "ch ang", + "gr ess", + "co ach", + "Is land", + "cl aim", + "m en's", + "ra il", + "pe c", + "ap pro", + "Fran ce", + "c ult", + "p ur", + "ction s", + "comp os", + "min istr", + "differ ent", + "ay s", + "it ch", + "M or", + "re c", + "V al", + "t em", + "plac ed", + "att le", + "in cre", + "et s", + "st ill", + "a ud", + "4 0", + "ch urch", + "C ap", + "2 6", + "f un", + "an other", + "ib ut", + "th ose", + "ip t", + "f em", + "d ist", + "R iver", + "Th om", + "r i", + "Geor ge", + "g in", + "b est", + "m iss", + "re ach", + "2 7", + "v ot", + "pos s", + "il y", + "le ct", + "P al", + "att ack", + "um b", + "produ ced", + "P ort", + "we b", + "n a", + "2 8", + "T o", + "c ell", + "( )", + "at ter", + "ap point", + "l ate", + "Q ue", + "Ro yal", + "l ight", + "langu age", + "h ar", + "Europe an", + "u el", + "iv il", + "av er", + "H ol", + "s old", + "writ ten", + "F ir", + "announ ced", + "de but", + "C our", + "serv ice", + "in ternational", + "P o", + "Y ear", + "b as", + "fl u", + "Wh en", + "J ames", + "Ch in", + "ourn al", + "re fer", + "it or", + "D ivision", + "Canad ian", + "P aul", + "W om", + "wh at", + "D an", + "pre vious", + "os p", + "in ,", + "ain ed", + "P ub", + "bus iness", + "\" The", + "R ich", + "un icip", + "h ost", + "g ar", + "M ount", + "om b", + "st or", + "S al", + "form ation", + "ip p", + "gen eral", + "te chn", + "b g", + "ep is", + "of ten", + "v o", + "D on", + "it ar", + "am ong", + "m ake", + "bg color", + "W ith", + "Ac adem", + "s ent", + "te xt", + "C A", + "ro le", + "pro ject", + "t urn", + "Re cord", + "ev en", + "Dav id", + "b ar", + "L ou", + "en c", + "St reet", + "a el", + "ex pl", + "for man", + "ab or", + "St at", + "l er", + "produ ction", + "o x", + "M y", + "es h", + "St .", + "marr ied", + "em pt", + "im ent", + "tit le", + "18 5", + "R ed", + "u es", + "re al", + "un ch", + "pl oy", + "ele ct", + "qu ar", + "in it", + "T ran", + "inv ol", + "Coun cil", + "F ootball", + "id a", + "g er", + "and er", + "y oung", + "Pres ident", + "st er", + "H 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+ "J .", + "k ing", + "T own", + "B est", + "ic o", + "m ilitary", + "l iving", + "prom ot", + "H en", + "v es", + "a ur", + "r ain", + "pr im", + "I r", + "or ,", + "In stit", + "v ice", + "201 2", + "200 7", + "V ir", + "ac c", + "w rote", + "h aving", + "in o", + "m uch", + "Afr ican", + "y l", + "Gr oup", + "200 9", + "' t", + "cr aft", + "ard s", + "est ed", + "M ex", + "Ital ian", + "spec ial", + "profess ional", + "t ake", + "v ideo", + "ag ed", + "childr en", + "ne xt", + "ar ed", + "M ary", + "re am", + "bur g", + "ir l", + "S am", + "Russ ian", + "Ro ad", + "B ur", + "ask et", + "int rodu", + "be come", + "M id", + "Japan ese", + "Comm un", + "pos ed", + "i us", + "et t", + "i j", + "T w", + "coun tr", + "augh ter", + "h ib", + "L aw", + "0 )", + "r u", + "B al", + "og n", + "J er", + "ele cted", + "pro cess", + "ge ther", + "end ing", + "we ek", + "M ac", + "h on", + "W ash", + "open ed", + "m ult", + "L u", + "T er", + "m al", + "d et", + "per forman", + "S oci", + "g g", + "st ory", + "Th ese", + "K ar", + "e ast", + "cent ur", + "C am", + "f ew", + "dire ct", + "ab ility", + "pop ular", + "18 4", + "Pl ay", + "M ad", + "ol ic", + "dr aw", + "return ed", + "son ,", + "d est", + "an .", + "er ing", + "l ow", + "al ,", + "201 3", + "chan ge", + "Sc ott", + "201 4", + "olog ical", + "oc r", + "201 6", + "M er", + "ig r", + "du c", + "E 9", + "H all", + "ag o", + "im in", + "i y", + "t t", + "grad u", + "com b", + "n d", + "J ack", + "im m", + "B ra", + "c is", + "le ar", + "continu ed", + "M iss", + "Wash ington", + "li ament", + "ak en", + "offic ial", + "d le", + "g reat", + "cr ipt", + "l if", + "co -", + "pl ic", + "a 's", + "Austral ia", + "l l", + "K e", + "part icip", + "iv ely", + "C ath", + "c .", + "ward s", + "pr act", + "with out", + "M .", + "Ac cording", + "an im", + "( 198", + "l ost", + "a ut", + "ful l", + "qu ad", + "football ers", + "itt le", + "ro ck", + "be g", + "s ocial", + "Gr and", + "Le g", + "Y ou", + "el ,", + "b road", + "V ol", + "sim ilar", + "Pro v", + "it z", + "201 5", + "S l", + "con ne", + "S un", + "asket ball", + "d am", + "style =\"", + "appoint ed", + "our ces", + "R ad", + "part ic", + "Cent ral", + "found ed", + "p .", + "a it", + "e conom", + "n ed", + "ro om", + "ne ed", + "g es", + "U K", + "A lex", + "Olymp ic", + "i ke", + "Su per", + "Associ ation", + "e cut", + "E r", + "T our", + "C ast", + "ac qu", + "com ing", + "Off ic", + "est ival", + "r .", + "art ist", + "J ew", + "ass ist", + "us es", + "N A", + "io graphy", + "en se", + "I m", + "dire cted", + "ers hip", + "ber g", + "King dom", + "op s", + "M et", + "201 8", + "th od", + "a ign", + "on .", + "ict ion", + "sign ed", + "fr ont", + "indu str", + "200 0", + "h a", + "inv est", + "S k", + "N o.", + "re view", + "Sp an", + "d aughter", + "coun try", + "att empt", + "M useum", + "al and", + "re -", + "f all", + "contr ol", + "r is", + "pro per", + "al umni", + "Californ ia", + "ly ,", + "H ill", + "h ol", + "W estern", + "om et", + "Ang 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"consid ered", + "bir th", + "T om", + "ens ive", + "Ind ia", + "c op", + "h ous", + "vil le", + "trad ition", + "Mar k", + "bgcolor= #", + "21 st", + "work ing", + "depend ent", + "i als", + "200 4", + "g am", + "c u", + "( S", + "G reen", + "for t", + "in flu", + "song s", + "em or", + "h or", + "l ive", + "n el", + "P op", + "ar a", + "Lou is", + "bl ack", + "m ot", + "p at", + "back ground", + "Vir gin", + "g ood", + "S ur", + "ter min", + "en cy", + "n at", + "d ivision", + "play ing", + "id ence", + "Re public", + "g row", + "18 3", + "B ill", + "land ,", + "M il", + "th ing", + "o le", + "team s", + "sem b", + "s al", + "and ,", + "Ze aland", + "ad ministr", + "ex ist", + "complet ed", + "ap er", + "at ors", + "K ore", + "d oc", + "ph ys", + "b our", + "contr act", + "D el", + "c up", + "ste ad", + "F A", + "constru ction", + "me et", + "la unch", + "ag re", + "str ong", + "r ace", + "tim e,", + "ty p", + "align= right", + "ac y", + "ific ation", + "Chin ese", + "A g", + "ct s", + "t ing", + "ic le", + "Fran k", + "cover ed", + "Car ol", + "c ase", + "de g", + "establish ments", + "cr ed", + "t ar", + "Jo se", + "arch ite", + "pl ant", + "a -", + "m unicip", + "Cath olic", + "N o", + "of fer", + "partic ular", + "E le", + "be t", + "import ant", + "r ul", + "U p", + "h ow", + "f ail", + "Rich ard", + "M el", + "Pub lic", + "g ian", + "S ome", + "ip le", + "m s", + "ty pe", + "in st", + "id =", + "to urn", + "Wh ile", + "land s", + "Dem ocr", + "osp ital", + "is ing", + "report ed", + "mod ern", + "hel p", + "w id", + "web site", + "av ail", + "Min ister", + "I re", + "W ork", + "M ont", + "ed eral", + "develop ed", + "in j", + "nov el", + "f ree", + "ph oto", + "mark et", + "c ir", + "od es", + "rec ogn", + "m us", + "ate g", + "de fe", + "D u", + "S ong", + "L at", + "c al", + "( 197", + "Sw ed", + "Fran cis", + "sh ould", + "ou l", + "ran ge", + "I l", + "202 1", + "|- id=", + "c us", + "med al", + "su per", + "it ive", + "w ord", + "f und", + "m ater", + "ot s", + "are as", + "K r", + "part y", + "f an", + "er a", + "( C", + "de cl", + "act ive", + "te en", + "him self", + "T ele", + "vir on", + "Sm ith", + "our s", + "ul ated", + "inter est", + "s il", + "Se cond", + "go al", + "D ay", + "eng th", + "politic ian", + "epis ode", + "ev ents", + "list ed", + "r id", + "wh ite", + "day s", + "M ill", + "ab ly", + "3 5", + "i ers", + "R .", + "M a", + "w ide", + "camp aign", + "S aint", + "con du", + "p ite", + "t re", + "Vict or", + "reg ular", + "ac ross", + "pl an", + "rad io", + "stit ut", + "l iter", + "M ass", + "d on", + "le cted", + "E .", + "j ud", + "L os", + "Canad a", + "vi ol", + "le te", + "S ov", + "itte e", + "mon th", + "D ire", + "it ,", + "se ction", + "B ut", + "H arr", + "t aken", + "3 1", + "ur r", + "um p", + "chil d", + "B .", + "im ately", + "Amer ica", + "f oc", + "at re", + "j ournal", + "200 3", + "ith er", + "br idge", + "do es", + "g un", + "off ice", + "p aint", + "al though", + "St ar", + "d 6", + "( A", + "rele ase", + "overn or", + "200 2", + "h om", + "s :", + "ne ver", + "bel ie", + "Bra z", + "- s", + "f ig", + "itt ed", + "Instit ute", + "c ost", + "comm on", + "P enn", + "aver age", + "se par", + "season .", + "f ight", + "Academ y", + "C he", + "serv ices", + "ex amp", + "ce ed", + "al y", + "ro y", + "crit ic", + "fem ale", + "202 2", + "v ia", + "cour t", + "Is ra", + "S o", + "avail able", + "t a", + "curr ent", + "stud ents", + "writ ers", + "if f", + "g ot", + "4 5", + "C O", + "viron ment", + "h ood", + "Hen ry", + "Award s", + "h ard", + "and id", + "m ount", + "bro ther", + "av al", + "bo x", + "ac es", + "Soci ety", + "bod y", + "Or der", + "8 0", + "m ix", + "mer c", + "is .", + "in -", + "ar i", + "C amp", + "At l", + "st age", + "m ing", + "fin ished", + "Wh ite", + "reg ion", + "performan ce", + "w estern", + "R ock", + "tourn ament", + "H on", + "ol f", + "2 nd", + "ish op", + "ibr ary", + "Sov iet", + "200 1", + "per formed", + "Braz il", + "J ust", + "group s", + "s aw", + "rel ated", + "rel ation", + "g ave", + "S pec", + "ed y", + "il es", + "il ities", + "writ er", + "c it", + "Ch ic", + "origin ally", + "inn ing", + "d iv", + "c ens", + "V ill", + "d ou", + "S up", + "H am", + "on ce", + "educ ation", + "an i", + "ic ult", + "l ab", + "d ata", + "s ay", + "P erson", + "ut ch", + "o graph", + "comm and", + "Cent er", + "L and", + "21st -century", + "he alth", + "G overnment", + "bre ak", + "Te am", + "r d", + "ran ch", + "P .", + "Tex as", + "H u", + "ex peri", + "e ight", + "ac cess", + "in e,", + "li k", + "season ,", + "compet ition", + "ist ic", + "cent ral", + "Ch ina", + "l os", + "S A", + "Not es", + "s el", + "Ger many", + "pr int", + "B A", + "rel ig", + "lead ing", + "r ap", + "Sc ot", + "tr ess", + "um e", + "oc key", + "av es", + "on to", + "u z", + "Care er", + "ific ant", + "im es", + "p atr", + "plac es", + "includ es", + "mod el", + "larg est", + "O ver", + "Ire land", + "( M", + "s ound", + "ug by", + "re y", + "b asketball", + "at ory", + "L .", + "design ed", + "p ot", + "Rail way", + "c ivil", + "il d", + "air craft", + "S ub", + "cons ist", + "w ind", + "to ck", + "pr ison", + "\" |", + "i que", + "tim es", + "p an", + "S ir", + "cap t", + "10 ,", + "lo ok", + "award ed", + "year s.", + "y ou", + "ent ial", + "Isra el", + "d istr", + "It s", + "ex ecut", + "pl es", + "R ob", + "t ic", + "p air", + "o graphy", + "R A", + "3 :", + "er 's", + "semb ly", + "ol k", + "Histor ic", + "C D", + "st ations", + "at tr", + "for ces", + "en .", + "mag az", + "t ro", + "g old", + "ship s", + "man ,", + "n omin", + "point s", + "II I", + "D en", + "ran k", + "g ent", + "t .", + "act or", + "199 0", + "art s", + "Film s", + "compan ies", + "sc ored", + "ate ,", + "D i", + "f ar", + "L ife", + "sy n", + "b ank", + "For ce", + "Cl ass", + "ain ing", + "sign ificant", + "H .", + "L o", + "f ish", + "winn ing", + "trans fer", + "id ing", + "feat ured", + "ul a", + "Record s", + "one y", + "Ir ish", + "6 5", + "M od", + "7 0", + "u ation", + "end er", + "form s", + "m ust", + "Prof ess", + "own ed", + "oc cur", + "w ife", + "ant ed", + "stru ct", + "w all", + "remain ed", + "h owever,", + "w he", + "build ings", + "pol ic", + "Comm ission", + "introdu ced", + "se y", + "Tw o", + "h u", + "en ced", + "g a", + "Pol it", + "b ill", + "( 196", + "S il", + "kn ow", + "G all", + "ic les", + "for ce", + "ot a", + "Comp any", + "O ut", + "we ight", + "uil d", + "end s", + "u ter", + "stud ent", + ".. .", + "Par liament", + "\" I", + "qu est", + "O l", + "ag u", + "sp ir", + "doc ument", + "st ar", + "P re", + "R os", + "our ce", + "ib ution", + "follow ed", + "r or", + "S ince", + "O per", + "E9 E9", + "st ated", + "I S", + "through out", + "ch air", + "t ell", + "com es", + "resp ons", + "priv ate", + "An n", + "sub sequ", + "se en", + "four th", + "c ross", + "9 0", + "Nor thern", + "G od", + "B us", + "su gg", + "Prov ince", + "em ents", + "U k", + "curr ently", + "c andid", + "pr ing", + "Geor g", + "O ld", + "en ces", + "3 3", + "s um", + "P ac", + "199 9", + "b ound", + "al k", + "pre m", + "W .", + "st aff", + "p ay", + "res pect", + "Te chn", + "s top", + "year ,", + "H y", + "event ually", + "P atr", + "ent ire", + "Al though", + "in formation", + "F estival", + "e y", + "quar ter", + "ist ,", + "feat ures", + "Olymp ics", + "Un der", + "B rown", + "tim e.", + "ut ure", + "er gy", + "pro ble", + "r ich", + "ity ,", + "vol ution", + "ann el", + "art ists", + "p ly", + "O h", + "us ually", + "N E", + "k a", + "er ous", + "gr and", + "pol ice", + "ear li", + "n y", + "L ake", + "m ur", + "cl ose", + "cret ary", + "re placed", + "ell a", + "at o", + "R am", + "h i", + "red u", + "at ives", + "ity .", + "F L", + "18 0", + "f av", + "f re", + "le ment", + "ak er", + "F er", + "p ark", + "sur v", + "M ost", + "stud y", + "Jose ph", + "trans l", + "Sc ience", + "E mp", + "Educ ation", + "le ast", + "stand ing", + "b ot", + "B as", + "ad o", + "u fact", + "F ound", + "A R", + "ign ed", + "D ou", + "B or", + "o or", + "re cent", + "un k", + "ation s.", + "id ents", + "fl ow", + "sy l", + "ap t", + "kill ed", + "p ast", + "B u", + "tr a", + "i os", + "Ar ab", + "ac cept", + "M os", + "ap e", + "show s", + "at al", + "on a", + "right s", + "organ iz", + "S ant", + "p ie", + "ar ian", + "por ary", + "im ate", + "Pro du", + "me an", + "ick et", + "n es", + "de fin", + "sp ace", + "Uk rain", + "l ad", + "invol ved", + "i qu", + "ind ic", + "M at", + "ex press", + "S ol", + "individ ual", + "oc cup", + "ve y", + "Chr is", + "t reat", + "rail way", + "ant ic", + "m .", + "M ic", + "ent er", + "e th", + "book s", + "p et", + "al -", + "ct ive", + "school s", + "f if", + "198 0", + "B ig", + "sh ot", + "inc or", + "m or", + "am ed", + "Res earch", + "G reek", + "in .", + "syl van", + "s id", + "I D", + "en z", + "up on", + "h it", + "H ow", + "associ ation", + "ex hib", + "se at", + "M P", + "defe ated", + "comm ission", + "play s", + "c el", + "o is", + "deg ree", + "G ar", + "ed ition", + "m as", + "in i", + "c ause", + "house hold", + "ic e,", + "in ation", + "ch ampionship", + "m it", + "199 8", + "l ie", + "prov ed", + "b on", + "o -", + "B a", + "C y", + "cap ital", + "pub l", + "3 6", + "us .", + "5 00", + "U r", + "p ain", + "ach ie", + "fun ction", + "W ood", + "M ain", + "ar ies", + "T y", + "sy ch", + "( P", + "l am", + "e ither", + "ch ief", + "me as", + "cer tain", + "reach ed", + "D utch", + "broad cast", + "ag on", + "mov ement", + "appro x", + "contr ibut", + "on om", + "colle ge", + "F re", + "A th", + "B ul", + "th us", + "previous ly", + "az z", + "g irl", + "ed s", + "st ant", + "d y", + "3 4", + "prov ided", + "F ollow", + "c ul", + "Ch ief", + "re ve", + "L ove", + "merc ial", + "po et", + "199 6", + "R u", + "B oy", + "stud io", + "Democr atic", + "b b", + "Sp ain", + "M ajor", + "F urther", + "ver t", + "l og", + "ad ium", + "Ar ts", + "year .", + "S ar", + "st one", + "em p", + "t ax", + "add ed", + "med ia", + "P et", + "J ud", + "b ass", + "B attle", + "v ing", + "leg al", + "as ing", + "publ ican", + "l oss", + "Rad io", + "i ro", + "3 8", + "( 19", + "stit ution", + "it a", + "dec ision", + "nat ural", + "read y", + "ac tress", + "Emp ire", + "poss ible", + "H el", + "est s", + "ur a", + "colle ction", + "Afr ica", + "att ended", + "v on", + "( 195", + "clos ed", + "K h", + "miss ing", + "ol a", + "dr ess", + "ation s,", + "sing er", + "l or", + "L ord", + "e ter", + "3 7", + "ne igh", + "read ing", + "wom en's", + "dec ided", + "pr ed", + "b ell", + "a be", + "d ed", + "cy cl", + "( 193", + "jo in", + "in stead", + "ex per", + "Wom en's", + "cult ure", + "b it", + "who se", + "fin ish", + "Scott ish", + "train ing", + "20 ,", + "H ung", + "sc ient", + "E s", + "- up", + "ist ics", + "Jew ish", + "ap s", + "S ocial", + "M u", + "A C", + "ate .", + "m ass", + "Penn sylvan", + "result s", + "( N", + "un it", + "ib l", + "de al", + "per form", + "pl ann", + "H ot", + "sc or", + "man n", + "r up", + "s at", + "w ing", + "P ak", + "M ah", + "s us", + "spe ople", + "Y oung", + "F. C.", + "ac count", + "land .", + "F ort", + "As ian", + "ig an", + "ad v", + "sub ject", + "k in", + "Championship s", + "cour se", + "B ud", + "Ed ward", + "Con gress", + "ay ,", + "year s,", + "ov ers", + "Follow ing", + "J im", + "H aw", + "Ser vice", + "L in", + "f fer", + "B ack", + "n ames", + "( D", + "199 7", + "istr y", + "invest ig", + "\" )", + "v a", + "f arm", + "er t", + "me thod", + "s )", + "incor por", + "Offic ial", + "L ong", + "ran g", + "ke ep", + "18 ,", + "represent ed", + "M embers", + "prim ary", + "I ran", + "G al", + "ent ion", + "u ,", + "M ilitary", + "iv e,", + "the ast", + "beh ind", + "ar ily", + "as tr", + "ch est", + "d .", + "h us", + "writ ing", + "age .", + "d a", + "nor thern", + "Com mon", + "p urch", + "O x", + "L ater", + "s outhern", + "reg ard", + "l ength", + "Reg ister", + "m ir", + "\" the", + "E p", + "ig er", + "17 9", + "sc reen", + "ph il", + "j un", + "m aster", + "3 rd", + "prov ide", + "claim ed", + "M en's", + "As sembly", + "B et", + "S outhern", + "w w", + "15 ,", + "C ivil", + "pl at", + "ac adem", + "sp an", + "ra ther", + "l ived", + "resp ond", + "B ank", + "l ower", + "t aking", + "net work", + "N avy", + "re ason", + "Bo ard", + "op t", + "Re publican", + "hab it", + "7 5", + "r om", + "an ch", + "val ue", + "f requ", + "m ic", + "mon ths", + "dr ama", + "cept ion", + "c ard", + "cur ity", + "J ul", + "ven ue", + "K en", + "P ost", + "stand ard", + "new sp", + "o id", + "Li ber", + "N et", + "lin es", + "br ought", + "stru cture", + "t or", + "P rem", + "B uild", + "T op", + "day ,", + "al ed", + "Mart in", + "R el", + "co ast", + "ab ove", + "Chic ago", + "ic ,", + "s omet", + "199 4", + "199 5", + "( the", + "man ufact", + "dif f", + "ok e", + "B ob", + "Port ug", + "sc ience", + "G .", + "il i", + "L ad", + "197 0", + "B re", + "im p", + "al most", + "chang ed", + "b ed", + "R h", + "b a", + "O '", + "3 2", + "mus ical", + "Virgin ia", + "mon d", + "r iver", + "C ult", + "d ig", + "Eng ine", + "organ ization", + "ter ,", + "out side", + "trans port", + "main tain", + "3 9", + "199 2", + "un ion", + "Pac ific", + "De f", + "p ian", + "Col leg", + "pr inc", + "the s", + "( L", + "f ood", + "st ream", + "( \"", + "4 8", + "b att", + "y a", + "in dependent", + "Ar m", + "person al", + "part s", + "mov e", + "ed itor", + "anc ial", + "e as", + "Col umb", + "201 0,", + "cle ar", + "st ates", + "2019 ,", + "ad a", + "ord in", + "y ard", + "Med al", + "ac cording", + "( R", + "( 194", + "201 8,", + "Tele vision", + "sch ol", + "trav el", + "oth ers", + "b en", + "ly ing", + "f el", + "o o", + "Phil ipp", + "Comp an", + "to :", + "v in", + "or ies", + "col on", + "201 1,", + "un its", + "- language", + "es pec", + "appear ance", + "mater ial", + "allow ed", + "ell ing", + "He alth", + "en vironment", + "un e", + "T .", + "qu are", + "appro ach", + "A z", + "g as", + "for ced", + "ter rit", + "201 7,", + "em er", + "r ough", + "L uc", + "approx imately", + "high est", + "ve h", + "espec ially", + "sing les", + "fe fe", + "Ser ies", + "le .", + "Oh io", + "M A", + "Pol ish", + "- American", + "201 2,", + "em s", + "1 2,", + "an al", + "min or", + "Comm ittee", + "wh om", + "S S", + "K ent", + "L oc", + "Dire ctor", + "J on", + "i ents", + "h ot", + "Ath let", + "to wards", + "Par is", + "201 6,", + "align =\"", + "ien ces", + "b al", + "ton ,", + "Ar gent", + "d6 d6", + "1 -", + "2020 ,", + "l ay", + "en ed", + "m o", + "dest roy", + "de partment", + "H or", + "s ummer", + "An t", + "h o", + "M ur", + "op p", + "O s", + "201 3,", + "exp atr", + "l es,", + "sen ior", + "C E", + "produ cer", + "ip s", + "n 't", + "ce le", + "b u", + "De velop", + "201 4,", + "launch ed", + "2 :", + "comp lex", + "y an", + "ens ion", + "ist an", + "M as", + "st reet", + "201 5,", + "Il lin", + "O t", + "ob ject", + "sport s", + "comp lete", + "B ase", + "d rop", + "sp ent", + "u str", + "wom an", + "addition al", + "F ar", + "ib ility", + "O pen", + "s quad", + "I .", + "B ost", + "Le e", + "lead er", + "voc als", + "al a", + "ch arg", + "an th", + "min ut", + "tradition al", + "Tr ack", + "so on", + "at ,", + "F amil", + "ct ic", + "ans as", + "Pr ess", + "in et", + "gen us", + "Sport s", + "4 9", + "f uture", + "l ittle", + "ach u", + "se a", + "S and", + "bur gh", + "Stat es.", + "C ro", + "c ing", + "f a", + "its elf", + "we alth", + "ar ,", + "r oute", + "E astern", + "football er", + "or .", + "pl ied", + "res er", + "serv ing", + "A k", + "mult iple", + ": #", + "He ad", + "min ister", + "beg inning", + "open ing", + "D un", + "f am", + "ult s", + "16 ,", + "202 1,", + "ic a,", + "br and", + "it ing", + "H al", + "Bl ue", + "b ranch", + "s of", + "pr ior", + "17 ,", + "g e,", + "go ing", + "somet imes", + "Con ference", + "ex am", + "1 4,", + "act ions", + "ine .", + "F I", + "ally ,", + "re me", + "o il", + "ian a", + "1 1,", + "ch art", + "er o", + "B ow", + "Brit ain", + "Pr ince", + "oper ated", + "B ang", + "ig a", + "4 7", + "run ning", + "associ ated", + "Je an", + "u an", + "econom ic", + "hus band", + "pe cted", + "on se", + "E v", + "D ie", + "Th at", + "ent ered", + "if y", + "Re present", + "com mercial", + "augh t", + "se lected", + "L ab", + "200 9,", + "bel ow", + "s af", + "z a", + "K o", + "ight s", + "J ournal", + "to o", + "pub lish", + "l ack", + "th ,", + "i 's", + "in te", + "Mass achu", + "f le", + "Pl aces", + "inter view", + "ph en", + "po se", + "ure ,", + "A re", + "Mid dle", + "G overnor", + "ch ester", + "ur b", + "charac ters", + "4 :", + "S at", + "Dr .", + "z ,", + "st arr", + "cont ains", + "Mex ico", + "s ister", + "manag ement", + "con f", + "sc ore", + "J os", + "m ad", + "coun ter", + "l ot", + "om a", + "stud ied", + "Flor ida", + "ap plic", + "ay ed", + "run s", + "th ers", + "ol der", + "le y,", + "b ig", + "W ater", + "As s", + "w an", + "196 0", + "199 1", + "lim ited", + "198 8", + "V an", + "ence ,", + "St an", + "municip ality", + "mur der", + "B ir", + "i ation", + "C a", + "F our", + "am ount", + "sur round", + "ian ce", + "F ield", + "act ors", + "C ross", + "is es", + "H a", + "in al", + "ob al", + "p il", + "high er", + "A sh", + "ie ,", + "G ood", + "politic ians", + "- based", + "act ed", + "L ibrary", + "s '", + "5 5", + "200 8,", + "L im", + "c in", + "ar ing", + "B road", + "issu e", + "ut en", + "b urn", + "later ,", + "y 's", + "ur t", + "Is lam", + "19 ,", + "E P", + "3 ),", + "be coming", + "an o", + "med ical", + "( 192", + "equ ip", + "is land", + "iet y", + "al es", + "s ize", + "H ong", + "m at", + "4 6", + "Al bert", + "The atre", + "him .", + "gener ally", + "init ially", + "Carol ina", + "activ ities", + "coll abor", + "Develop ment", + "m ach", + "T enn", + "n s", + "su ffer", + "f il", + "season s", + "f oot", + "pro b", + "relation ship", + "ff ic", + "not ed", + "S pe", + "in str", + "exp and", + "E conom", + "M ot", + "e astern", + "ca used", + "sy m", + "M any", + "r ing", + "H o", + "3 -", + "198 9", + "br id", + "O k", + "De ath", + "b ol", + "ad or", + "Angel es", + "commun ic", + "h um", + "19 20", + "V o", + "st ep", + "Ox ford", + "( 17", + "leg isl", + "coun cil", + "bir d", + "t ies", + "cele br", + "Co ast", + "l ov", + "et te", + "O f", + "ak a", + "2 -", + "Ser b", + "mid -", + "B ern", + "Con serv", + "p ers", + "th reat", + "G ame", + "pass ed", + "U l", + "W ind", + "d ate", + "B S", + "Or gan", + "T re", + "al ready", + "I f", + "D er", + "if t", + "K ong", + "E gy", + "G re", + "Ad am", + "Sy stem", + "Francis co", + "incre ased", + "L ittle", + "ann ual", + "ad el", + "V e", + "me ans", + "- align", + "B ol", + "Fin al", + "W rit", + "w orth", + "L y", + "cript ion", + "spec ific", + "p age", + "ob tain", + "r oll", + "Swed ish", + "fl ict", + "y -", + "Man ag", + "Wal es", + "m useum", + "cl us", + "diff icult", + "1 3,", + "I V", + "style=\" background", + "4 4", + "un iversity", + "M ax", + "S oc", + "-align :", + "ad es", + "Person al", + "align= center", + "stit u", + "a is", + "St ation", + "fir m", + "im med", + "W is", + "num erous", + "O b", + "ult y", + "act s", + "relig ious", + "Un ivers", + "g .", + "feat ure", + "C ard", + "H ome", + "200 7,", + "r at", + "to l", + "Pol and", + "ing u", + "n ,", + "Cent re", + "tr ade", + "ow s", + "R ay", + "h un", + "compet ed", + "b attle", + "ian ,", + "2 ),", + "cent re", + "Met ro", + "vict ory", + "ple ment", + "ul pt", + "ret ired", + "Egy pt", + "bet ter", + "com edy", + "k o", + "um ents", + "ant i-", + "cl ud", + "A T", + "two -", + "Spec ial", + "e c", + "requ ired", + "ch ap", + "i as", + "W all", + "202 2,", + "An ton", + "Tran sport", + "dr um", + "Ital y", + "most ly", + "G ard", + "D et", + "E lect", + "ance ,", + "al tern", + "h app", + "cre ate", + "Ber lin", + "go als", + "f ill", + "self -", + "D ar", + "id s", + "r ol", + "profess or", + "por tr", + "n ine", + "Tur k", + "it ors", + "expatr iate", + "k y", + "and a", + "N ight", + "ic a.", + "support ed", + "Dan iel", + "b ad", + "l av", + "( T", + "And rew", + "voc al", + "text -align:", + "f ederal", + "marr i", + "lo ad", + "fam ous", + "po ol", + "id ae", + "ear ned", + "record ing", + "h ockey", + "g ive", + "En ter", + "w a", + "b lock", + "198 7", + "det ail", + "histor ical", + "over all", + "emor ial", + "par ish", + "tain ment", + "G irl", + "; \"", + "an ge", + "p al", + "sk i", + "pract ice", + "oc cas", + "ch all", + "C C", + "pre vent", + "part n", + "cr u", + "subsequ ently", + "b omb", + "ic ated", + "particular ly", + "ian g", + "air s", + "con cept", + "inst all", + "h ospital", + "r ate", + "produ ct", + "B iography", + "M S", + "amp ions", + "Russ ia", + "i est", + "Sy d", + "j ob", + "The ir", + "new s", + "W in", + "cond ition", + "1 ),", + "N at", + "person nel", + "D or", + "ask ed", + "elect ric", + "d ro", + "major ity", + "Lat in", + "ct ing", + "T ro", + "T ime", + "202 3", + "Wom en", + "it es", + "El iz", + "des cent", + "/ /", + "consid er", + "centur y,", + "Al bum", + "bel ong", + "ur ban", + "cre w", + "sc en", + "appear ances", + "ev idence", + "M ir", + "base ball", + "M inn", + "198 6", + "Se cretary", + "commun ities", + "k er", + "though t", + "Bro ok", + "Val ley", + "V i", + "cr imin", + "chang es", + "199 3", + "We ek", + "he m", + "resp onse", + "et ,", + "C reek", + "Kore an", + "on e,", + "B i", + "m el", + "manag er", + "present ed", + "p ath", + "t able", + "S on" + ] + } +} \ No newline at end of file diff --git a/models/components/layers/tokenizers.py b/models/components/layers/tokenizers.py index d07543d1..c2dc5dd8 100644 --- a/models/components/layers/tokenizers.py +++ b/models/components/layers/tokenizers.py @@ -246,13 +246,14 @@ def _save(self): dataset_name=self.dataset_name, simplify=self.simplify ) - self.tokenizer.save(str(tokenizer_path)) + self.tokenizer.save(str(tokenizer_path)) def _load(self): _, tokenizer_path = utils.get_tokenizer_path( tokenizer_type="bpe", vocab_size=self.vocab_size, dataset_name=self.dataset_name, + simplify=self.simplify ) self.tokenizer = Tokenizer.from_file(str(tokenizer_path)) self.vocab = self.tokenizer.get_vocab() diff --git a/train.py b/train.py index b838031c..bd3ea1ed 100644 --- a/train.py +++ b/train.py @@ -29,7 +29,7 @@ def ddp_main(rank, world_size, cfg): print("Rank: ", rank, "World Size: ", world_size) ddp_setup(rank=rank, world_size=world_size) - model, current_iter = build_model( + model, loaded_train_config = build_model( # train_config is not None when loading checkpoints model_cfg=cfg["model"], checkpoint_path=cfg["model"].get("checkpoint_path", None), device=cfg["general"]["device"] @@ -42,7 +42,7 @@ def ddp_main(rank, world_size, cfg): cfg=cfg, model=model, gpu_id=rank, - current_iter=current_iter + loaded_train_config=loaded_train_config ) print(f"Rank{rank} Trainer built") # train the model @@ -79,7 +79,7 @@ def basic_main(cfg): trainer.train() -@hydra.main(config_path="configs/train", config_name="baseline") +@hydra.main(config_path="configs/train", config_name="baseline-10m") def main(cfg): world_size = torch.cuda.device_count() diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 9d58ff37..a6705139 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -34,7 +34,7 @@ def __init__( loss_fn, gpu_id=None, lr_scheduler=None, - current_iter=0, + loaded_train_config=None, ) -> None: self.model = model # print model stats and save them @@ -42,10 +42,11 @@ def __init__( if gpu_id is not None: # using ddp self.dist = True - self.DDP_model = DDP(self.model, device_ids=[gpu_id], find_unused_parameters=True) + self.DDP_model = DDP(self.model, device_ids=[gpu_id]) else: self.dist = False self.DDP_model = model + self.gpu_id = gpu_id self.optimizer = optimizer self.lr_scheduler = lr_scheduler @@ -53,22 +54,31 @@ def __init__( self.val_dataloader = val_dataloader self.loss_fn = loss_fn self.cfg = cfg - self.current_iter = current_iter - #assert self.cfg["trainer"]["training"]["gradient_accumulation_steps"] % torch.cuda.device_count() == 0, "Gradient Accumulation Steps must be divisible by the number of GPUs" + + # Load prev training parameters as necessary + if loaded_train_config not None: + self.current_iter = loaded_train_config["iter_num"] + + if self.cfg["trainer"].get("load_prev_optimizer_state", False): + print("Loading the previous optimizer state") + self.optimizer.load_state_dict(loaded_train_config["optimizer"]) + + + # adjusting the correct batch-size accumulation step ratio for each node self.gradient_accumulation_steps = cfg["trainer"][ "gradient_accumulation_steps" ] // torch.cuda.device_count() if torch.cuda.is_available() else cfg["trainer"][ "gradient_accumulation_steps" ]## divide by number of GPUs to maximise throughput + + self.scaler = None + self.ctx = self._setup_ctx() + self.use_wandb = cfg["general"]["logging"]["wandb_log"] self.checkpoint_dir = cfg["general"]["paths"]["checkpoint_dir"] self.batch_size = cfg["trainer"]["batch_size"] - # For training, always force the device to be cuda - #assert torch.cuda.is_available(), "CUDA must be available for training" - self.ctx = self._setup_ctx() - if self.use_wandb and (self.gpu_id == 0 or not self.dist): ## ensures that only the first GPU logs to wandb self._setup_logging( diff --git a/trainers/prepare.py b/trainers/prepare.py index 51b8627f..20808b76 100644 --- a/trainers/prepare.py +++ b/trainers/prepare.py @@ -146,8 +146,6 @@ def write_tokenized_data(self, tokenized, tokenized_data_folder): - - def prepare_data(cfg): """ Split the data, process & tokenize it, and store From 9670ae4fb00dda392a1681f47365d422c539ddfa Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 13 Sep 2024 21:35:29 +0800 Subject: [PATCH 156/209] debugging --- trainers/base_trainer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index a6705139..3919f92e 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -56,7 +56,7 @@ def __init__( self.cfg = cfg # Load prev training parameters as necessary - if loaded_train_config not None: + if loaded_train_config is not None: self.current_iter = loaded_train_config["iter_num"] if self.cfg["trainer"].get("load_prev_optimizer_state", False): From 11d99ee53d114ef27e4beb3c51481bb53966f20b Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 13 Sep 2024 22:13:06 +0800 Subject: [PATCH 157/209] debugging --- trainers/build_trainers.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/trainers/build_trainers.py b/trainers/build_trainers.py index 515d1888..9885abfd 100644 --- a/trainers/build_trainers.py +++ b/trainers/build_trainers.py @@ -128,7 +128,7 @@ def build_loss_fn(loss_fn_name): } -def build_trainer(cfg, model, gpu_id, current_iter): +def build_trainer(cfg, model, gpu_id, loaded_train_config): """ Given a config, this function builds a trainer and all relevant components of it. @@ -172,7 +172,7 @@ def build_trainer(cfg, model, gpu_id, current_iter): val_dataloader=val_dataloader, loss_fn=loss_fn, gpu_id=gpu_id, - current_iter=current_iter, + loaded_train_config=loaded_train_config, ) return trainer From a58c3cb7bd6d264659238fcf4f238fab894bb023 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 13 Sep 2024 22:13:40 +0800 Subject: [PATCH 158/209] debugging --- train.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/train.py b/train.py index bd3ea1ed..09b9eb0a 100644 --- a/train.py +++ b/train.py @@ -59,7 +59,7 @@ def basic_main(cfg): """ Main function for single GPU training """ - model, current_iter = build_model( + model, loaded_train_config = build_model( model_cfg=cfg["model"], checkpoint_path=cfg["model"].get("checkpoint_path", None), device=cfg["general"]["device"] @@ -72,7 +72,7 @@ def basic_main(cfg): cfg=cfg, model=model, gpu_id=None, # disables DDP - current_iter=current_iter + loaded_train_config=loaded_train_config ) # train the model From 5559f305e46ac6015c26a6ae7a75fa0fe3ebd3e4 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 13 Sep 2024 22:15:02 +0800 Subject: [PATCH 159/209] debugging --- configs/train/baseline-10m.yaml | 4 ++-- trainers/base_trainer.py | 3 +++ 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index a44de3fb..b6bd432e 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -4,7 +4,7 @@ model: ffn: ffn_type: generic - ffn_dim: 1536 + ffn_dim: 2048 activation: gelu normalization: rms_norm bias: true @@ -24,7 +24,7 @@ model: tokenizer_simplify_data: true vocab_size: 4000 - hidden_dim: 384 + hidden_dim: 512 context_window: 2048 lm_head_type: generic diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 3919f92e..4a4e6eb8 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -63,6 +63,9 @@ def __init__( print("Loading the previous optimizer state") self.optimizer.load_state_dict(loaded_train_config["optimizer"]) + else: + self.current_iter = 0 + # adjusting the correct batch-size accumulation step ratio for each node self.gradient_accumulation_steps = cfg["trainer"][ From f5eece47361750f6f9a40957f8d08c274bd2fe81 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 13 Sep 2024 22:15:24 +0800 Subject: [PATCH 160/209] debugging --- configs/train/baseline-10m.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index b6bd432e..516c25c9 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -39,7 +39,7 @@ model: trainer: trainer_type: base_trainer - dataset: pints + dataset: en_wiki batch_size: 24 gradient_accumulation_steps: 10 From a820b5a82277836070f7a04505811310118af5c4 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 13 Sep 2024 22:15:54 +0800 Subject: [PATCH 161/209] debugging --- configs/train/baseline-10m.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index 516c25c9..bd159af5 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -12,7 +12,7 @@ model: attn: attn_type: causal - num_kv_heads: 12 + num_kv_heads: 8 num_q_heads: 4 normalization: rms_norm bias: true From 19a563897974733946f38100237d1499449fcbda Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 13 Sep 2024 22:17:10 +0800 Subject: [PATCH 162/209] debugging --- models/model_shell.py | 1 - 1 file changed, 1 deletion(-) diff --git a/models/model_shell.py b/models/model_shell.py index def44185..a3144673 100644 --- a/models/model_shell.py +++ b/models/model_shell.py @@ -52,7 +52,6 @@ def forward(self, token_ids): # pass the token_ids through the embedding model # to get B, S, H (with pos encoding if necessary) - print(token_ids, token_ids.max(), token_ids.min()) x = self.embedding_model(token_ids) # pass the embeddings through the core model From 1f5c8a3c3682baf63e6280fb0569be1135095a86 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 13 Sep 2024 22:25:30 +0800 Subject: [PATCH 163/209] debugging --- configs/train/baseline-10m.yaml | 6 +++--- configs/train/baseline-50m.yaml | 4 ++-- trainers/base_trainer.py | 1 + 3 files changed, 6 insertions(+), 5 deletions(-) diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index bd159af5..6478e5d1 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -39,7 +39,7 @@ model: trainer: trainer_type: base_trainer - dataset: en_wiki + dataset: pints batch_size: 24 gradient_accumulation_steps: 10 @@ -63,7 +63,7 @@ trainer: - "openbook_qa_open" - "copa" - "commonsense_qa" - num_samples: 1000 + mcq_num_samples: 1000 optimizer: optimizer_name: adamW @@ -100,4 +100,4 @@ general: checkpoint_dir: checkpoints eval_dir: evals seed: 489 - device: cpu + device: cuda diff --git a/configs/train/baseline-50m.yaml b/configs/train/baseline-50m.yaml index d7cb4b6c..9bb46478 100644 --- a/configs/train/baseline-50m.yaml +++ b/configs/train/baseline-50m.yaml @@ -44,7 +44,7 @@ trainer: eval_interval: 2000 log_interval: 10 checkpoint_interval: 20000 - eval_iters: 1000 + eval_iters: 250 eval: - mcq_benchmarks: @@ -60,7 +60,7 @@ trainer: - "openbook_qa_open" - "copa" - "commonsense_qa" - num_samples: 1000 + mcq_num_samples: 1000 optimizer: optimizer_name: adamW diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 4a4e6eb8..a934ef3b 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -249,6 +249,7 @@ def _save_model(self, iter_num=0): def run_training_loop(self): """Run the training loop""" + print("Training loop is starting") for iter_num in range(self.current_iter, self.cfg["trainer"]["max_iters"]): start_time = time.time() if self.lr_scheduler is not None: From 7c8c7bd62d90db59c930c5b75c49d5080e391d34 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 13 Sep 2024 22:29:42 +0800 Subject: [PATCH 164/209] debugging --- configs/train/baseline-10m.yaml | 30 +++++++++++++++--------------- configs/train/baseline-50m.yaml | 4 ++-- evals/mcqs/mcq_evaluator.py | 2 +- 3 files changed, 18 insertions(+), 18 deletions(-) diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index 6478e5d1..a5b17828 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -47,23 +47,23 @@ trainer: eval_interval: 2000 log_interval: 10 checkpoint_interval: 20000 - eval_iters: 1000 + eval_iters: 100 eval: - - mcq_benchmarks: - - "winograd" - - "hellaswag" - - "arc_easy" - - "blimp" - - "piqa" - - "race_middle" - - "race_high" - - "boolq" - - "openbook_qa_closed" - - "openbook_qa_open" - - "copa" - - "commonsense_qa" - mcq_num_samples: 1000 + mcq_benchmarks: + - "winograd" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 500 optimizer: optimizer_name: adamW diff --git a/configs/train/baseline-50m.yaml b/configs/train/baseline-50m.yaml index 9bb46478..4b92420c 100644 --- a/configs/train/baseline-50m.yaml +++ b/configs/train/baseline-50m.yaml @@ -44,10 +44,10 @@ trainer: eval_interval: 2000 log_interval: 10 checkpoint_interval: 20000 - eval_iters: 250 + eval_iters: 100 eval: - - mcq_benchmarks: + mcq_benchmarks: - "winograd" - "hellaswag" - "arc_easy" diff --git a/evals/mcqs/mcq_evaluator.py b/evals/mcqs/mcq_evaluator.py index b9b28bc3..8ec7c3a7 100644 --- a/evals/mcqs/mcq_evaluator.py +++ b/evals/mcqs/mcq_evaluator.py @@ -40,7 +40,7 @@ def predict(self, prefix, ground_truth, false_options): def evaluate_benchmark(self, benchmark_name, num_samples=None): """Evaluate model performance on a specific benchmark""" # load the benchmark_loader - benchmark_loader = load_benchmark(benchmark_name, split="test") + benchmark_loader = load_benchmark(benchmark_name) confidences = [] for i, (prefix, ground_truth, false_options) in tqdm.tqdm( enumerate(benchmark_loader) From f2674a34ffb763d92637422f873e6811f384948f Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 13 Sep 2024 23:07:35 +0800 Subject: [PATCH 165/209] training is working --- configs/train/baseline-10m.yaml | 2 +- configs/train/baseline-50m.yaml | 2 +- evals/mcqs/load_benchmarks.py | 59 +++++++++++++++++++-------------- evals/mcqs/mcq_evaluator.py | 9 ++++- trainers/utils.py | 4 +-- 5 files changed, 46 insertions(+), 30 deletions(-) diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index a5b17828..57c296d3 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -51,7 +51,7 @@ trainer: eval: mcq_benchmarks: - - "winograd" + - "winogrande" - "hellaswag" - "arc_easy" - "blimp" diff --git a/configs/train/baseline-50m.yaml b/configs/train/baseline-50m.yaml index 4b92420c..81c6e308 100644 --- a/configs/train/baseline-50m.yaml +++ b/configs/train/baseline-50m.yaml @@ -48,7 +48,7 @@ trainer: eval: mcq_benchmarks: - - "winograd" + - "winogrande" - "hellaswag" - "arc_easy" - "blimp" diff --git a/evals/mcqs/load_benchmarks.py b/evals/mcqs/load_benchmarks.py index ab7270c3..1838af98 100644 --- a/evals/mcqs/load_benchmarks.py +++ b/evals/mcqs/load_benchmarks.py @@ -15,7 +15,7 @@ def get_idx_list(dataset_length, num_samples): dataset_length, dataset_length if num_samples is None else min(num_samples, dataset_length), replace=False, - ) + ).tolist() def load_arc_easy(version, num_samples=None): """ @@ -23,14 +23,18 @@ def load_arc_easy(version, num_samples=None): (https://huggingface.co/datasets/allenai/ai2_arc/viewer/ARC-Easy) """ if version == "original": - dataset = load_dataset("ai2_arc", "ARC-Easy")["test"] + dataset = load_dataset("ai2_arc", "ARC-Easy", trust_remote_code=True)["test"] elif version == "stlm_eval": raise NotImplementedError("STLM eval version not implemented yet") index_list = get_idx_list(len(dataset), num_samples) for i in index_list: sample = dataset[i] - correct_idx = sample["choices"]["text"].find(sample["answerKey"]) + correct_idx = sample["choices"]["label"].index(sample["answerKey"]) + """correct_idx = next( + (i for i, choice in enumerate(sample["choices"]["text"]) if choice == sample["answerKey"]), + None + )""" yield ( sample["question"], sample["choices"]["text"][correct_idx], @@ -46,7 +50,7 @@ def load_blimp(num_samples=None): Load BLIMP eval set https://huggingface.co/datasets/WillHeld/blimp """ - dataset = load_dataset("WillHeld/blimp")["train"] + dataset = load_dataset("WillHeld/blimp", trust_remote_code=True)["train"] index_list = get_idx_list(len(dataset), num_samples) for i in index_list: sample = dataset[i] @@ -63,7 +67,7 @@ def load_hellaswag(version, num_samples=None): https://huggingface.co/datasets/Rowan/hellaswag """ if version == "original": - dataset = load_dataset("Rowan/hellaswag")["validation"] # standard to use val + dataset = load_dataset("Rowan/hellaswag", trust_remote_code=True)["validation"] # standard to use val elif version == "stlm_eval": raise NotImplementedError("STLM eval version not implemented yet") @@ -83,7 +87,7 @@ def load_mmlu(num_samples=None): Load MMLU eval set https://huggingface.co/datasets/cais/mmlu """ - dataset = load_dataset("cais/mmlu", "all")["test"] + dataset = load_dataset("cais/mmlu", "all", trust_remote_code=True)["test"] index_list = get_idx_list(len(dataset), num_samples) for i in index_list: sample = dataset[i] @@ -115,7 +119,7 @@ def load_winogrande(version, num_samples=None): yield ( "", sample["sentence"].replace("_", sample[f"option{correct_opt_num}"]), - sample["sentence"].replace("_", sample[f"option{1 if correct_opt_num == 2 else 2}"]) + [sample["sentence"].replace("_", sample[f"option{1 if correct_opt_num == 2 else 2}"])] ) def load_truthful_qa_m2(version, num_samples=None): @@ -124,7 +128,7 @@ def load_truthful_qa_m2(version, num_samples=None): https://huggingface.co/datasets/TruthfulQA """ if version == "original": - dataset = load_dataset("truthful_qa", "multiple_choice")["validation"] + dataset = load_dataset("truthful_qa", "multiple_choice", trust_remote_code=True)["validation"] elif version == "stlm_eval": raise NotImplementedError("STLM eval version not implemented yet") @@ -143,14 +147,14 @@ def load_piqa(num_samples=None): https://arxiv.org/abs/1911.11641 https://huggingface.co/datasets/ybisk/piqa """ - dataset = load_dataset("ybisk/piqa")["validation"] + dataset = load_dataset("ybisk/piqa", trust_remote_code=True)["validation"] index_list = get_idx_list(len(dataset), num_samples) for i in index_list: sample = dataset[i] yield ( sample["goal"], sample[f"sol{sample['label']+1}"], - sample[f"sol{1 if sample['label'] == 2 else 2}"] + [sample[f"sol{1 if sample['label'] == 2 else 2}"]] ) def load_boolq(num_samples=None): @@ -159,14 +163,14 @@ def load_boolq(num_samples=None): https://arxiv.org/abs/1905.10044 https://huggingface.co/datasets/google/boolq """ - dataset = load_dataset("google/boolq")["validation"] + dataset = load_dataset("google/boolq", trust_remote_code=True)["validation"] index_list = get_idx_list(len(dataset), num_samples) for i in index_list: sample = dataset[i] yield ( sample["question"], - "yes" if sample["label"] else "no", - "no" if sample["label"] else "yes" + "yes" if sample["answer"] else "no", + ["no"] if sample["answer"] else ["yes"] ) def load_race(version, num_samples=None): @@ -178,7 +182,8 @@ def load_race(version, num_samples=None): ANS_TO_IDX = {"A": 0, "B": 1, "C": 2, "D": 3} dataset = load_dataset( "ehovy/race", - version # middle or high school + version, # middle or high school + trust_remote_code=True )["validation"] index_list = get_idx_list(len(dataset), num_samples) for i in index_list: @@ -187,7 +192,7 @@ def load_race(version, num_samples=None): yield ( sample["article"] + f"Question: {sample['question']}", f"Answer: {sample['options'][correct_idx]}", - sample["options"][correct_idx], + #sample["options"][correct_idx], [option for i, option in enumerate(sample["options"]) if i != correct_idx] ) @@ -197,13 +202,13 @@ def load_openbook_qa(version, num_samples=None): https://huggingface.co/datasets/allenai/openbookqa """ ANS_TO_IDX = {"A": 0, "B": 1, "C": 2, "D": 3} - dataset = load_dataset("allenqi/openbookqa")["validation"] + dataset = load_dataset("allenai/openbookqa", "additional", trust_remote_code=True)["validation"] index_list = get_idx_list(len(dataset), num_samples) for i in index_list: sample = dataset[i] correct_idx = ANS_TO_IDX[sample["answerKey"]] yield ( - sample["question_stem"] if version=="closed" else f"{sample['fact1']} {sample['question']}", + sample["question_stem"] if version=="closed" else f"{sample['fact1']} {sample['question_stem']}", sample["choices"]["text"][correct_idx], [choice for i, choice in enumerate(sample["choices"]["text"]) if i != correct_idx] ) @@ -214,7 +219,7 @@ def load_copa(num_samples=None): https://aclanthology.org/S12-1052/ https://huggingface.co/datasets/pkavumba/balanced-copa """ - dataset = load_dataset("pkavumba/balanced-copa")["train"] + dataset = load_dataset("pkavumba/balanced-copa", trust_remote_code=True)["train"] index_list = get_idx_list(len(dataset), num_samples) for i in index_list: sample = dataset[i] @@ -223,7 +228,7 @@ def load_copa(num_samples=None): yield ( sample["premise"], sample[f"choice{correct_idx+1}"], - sample[f"choice{incorrect_idx+1}"], + [sample[f"choice{incorrect_idx+1}"]], ) @@ -235,11 +240,11 @@ def load_commonsense_qa(num_samples=None): """ ANS_TO_IDX = {"A": 0, "B": 1, "C": 2, "D": 3, "E": 4, "F": 5, "G": 6, "H": 7} - dataset = load_dataset("tau/commonsense_qa")["validation"] + dataset = load_dataset("tau/commonsense_qa", trust_remote_code=True)["validation"] index_list = get_idx_list(len(dataset), num_samples) for i in index_list: sample = dataset[i] - correct_idx = sample["answerKey"] + correct_idx = ANS_TO_IDX[sample["answerKey"]] yield ( sample["question"], f"Answer: {sample['choices']['text'][correct_idx]}", @@ -257,9 +262,9 @@ def load_commonsense_qa(num_samples=None): version="stlm_eval", num_samples=num_samples ), - "hellaswag": lambda num_smaples: load_hellaswag( + "hellaswag": lambda num_samples: load_hellaswag( version="original", - num_samples=num_smaples + num_samples=num_samples ), "stlm_eval_hellaswag": lambda num_samples: load_hellaswag( version="stlm_eval", @@ -301,8 +306,12 @@ def load_commonsense_qa(num_samples=None): version="closed", num_samples=num_samples ), - "copa": load_copa, - "commonsense_qa": load_commonsense_qa, + "copa": lambda num_samples: load_copa( + num_samples=num_samples + ), + "commonsense_qa": lambda num_samples: load_commonsense_qa( + num_samples=num_samples + ), } diff --git a/evals/mcqs/mcq_evaluator.py b/evals/mcqs/mcq_evaluator.py index 8ec7c3a7..419d9969 100644 --- a/evals/mcqs/mcq_evaluator.py +++ b/evals/mcqs/mcq_evaluator.py @@ -40,8 +40,12 @@ def predict(self, prefix, ground_truth, false_options): def evaluate_benchmark(self, benchmark_name, num_samples=None): """Evaluate model performance on a specific benchmark""" # load the benchmark_loader - benchmark_loader = load_benchmark(benchmark_name) + benchmark_loader = load_benchmark( + benchmark_name=benchmark_name, + num_samples=num_samples + ) confidences = [] + print(benchmark_loader) for i, (prefix, ground_truth, false_options) in tqdm.tqdm( enumerate(benchmark_loader) ): @@ -56,6 +60,9 @@ def evaluate_benchmark(self, benchmark_name, num_samples=None): confidence, (0, max_length - len(confidence)), value=-1e10 ) + # Stack the tensor values to form a single 2D tensor + confidences = torch.stack(confidences) + # calculate the accuracy and return it _, predicted = torch.max(confidences, 1) # aggregate the tensor values diff --git a/trainers/utils.py b/trainers/utils.py index 27b51b27..c4d0734b 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -134,10 +134,10 @@ def print_evaluation_results(iter_num, eval_results): headers = ['Metric', 'Value'] table = PrettyTable(headers) table.add_row( - ['Val. Loss', eval_results['val_loss']] + ['Val. Loss', eval_results['Val. Loss']] ) table.add_row( - ['Val. Perplexity', eval_results['val_perplexity']] + ['Val. Perplexity', eval_results['Val. Perplexity']] ) print(f"Iteration {iter_num}") From d7c4349c1aa6ce977269f0be4e88e01b96271fae Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Sat, 14 Sep 2024 09:31:44 +0800 Subject: [PATCH 166/209] added byte-level metrics --- configs/train/baseline-10m.yaml | 1 + evals/mcqs/mcq_evaluator.py | 1 - models/embedding_models.py | 23 +++++++++++++ trainers/base_trainer.py | 59 +++++++++++++++++++++++++-------- trainers/utils.py | 12 +++---- 5 files changed, 75 insertions(+), 21 deletions(-) diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index 57c296d3..3d346b4d 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -64,6 +64,7 @@ trainer: - "copa" - "commonsense_qa" mcq_num_samples: 500 + eval_byte_metrics: true optimizer: optimizer_name: adamW diff --git a/evals/mcqs/mcq_evaluator.py b/evals/mcqs/mcq_evaluator.py index 419d9969..89c569bd 100644 --- a/evals/mcqs/mcq_evaluator.py +++ b/evals/mcqs/mcq_evaluator.py @@ -45,7 +45,6 @@ def evaluate_benchmark(self, benchmark_name, num_samples=None): num_samples=num_samples ) confidences = [] - print(benchmark_loader) for i, (prefix, ground_truth, false_options) in tqdm.tqdm( enumerate(benchmark_loader) ): diff --git a/models/embedding_models.py b/models/embedding_models.py index 95d53a73..4d082e5a 100644 --- a/models/embedding_models.py +++ b/models/embedding_models.py @@ -5,6 +5,7 @@ """ import torch +import numpy as np from models.components.positional_encoding import build_positional_encodings from models.components.layers.tokenizers import build_tokenizer @@ -118,6 +119,28 @@ def __init__(self, model_cfg): self.dropout = torch.nn.Dropout(p=model_cfg.get("embedding_dropout", 0.0)) + self.token_byte_length_cache = self._precompute_byte_lengths() + + def _precompute_byte_lengths(self): + """ + Precompute byte lengths for all tokens in the vocabulary. + """ + vocab_size = self.tokenizer.vocab_size + token_byte_lengths = np.zeros(vocab_size, dtype=np.int32) + for token in range(vocab_size): + token_str = self.tokenizer.decode([token]) + token_bytes = token_str.encode('utf-8') + token_byte_lengths[token] = len(token_bytes) + return token_byte_lengths + + def get_byte_lengths(self, tokens): + """ + Given a list/array of tokens, return a NumPy array of byte lengths using the cache. + """ + tokens = np.array(tokens) + byte_lengths = self.token_byte_length_cache[tokens] + return byte_lengths + def forward(self, token_ids): """ Takes the token_ids as input diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index a934ef3b..393560f5 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -81,6 +81,7 @@ def __init__( self.use_wandb = cfg["general"]["logging"]["wandb_log"] self.checkpoint_dir = cfg["general"]["paths"]["checkpoint_dir"] self.batch_size = cfg["trainer"]["batch_size"] + self.evaluate_byte_metrics = self.cfg["trainer"]["eval"].get("eval_byte_metrics", False) if self.use_wandb and (self.gpu_id == 0 or not self.dist): ## ensures that only the first GPU logs to wandb @@ -138,33 +139,63 @@ def estimate_performance(self, eval_iters=None): eval_results = {} self.model.eval() - # eval on val set - losses = [] - perplexities = [] + # initialize accumulators + total_loss = 0 + total_bytes = 0 + total_token_count = 0 # For regular loass and perplexity + + # Initialize accumulators for byte-level metrics + total_byte_loss = 0.0 + total_byte_log_probs = 0.0 # For perplexity calculation + for i, (x, y) in enumerate(self.val_dataloader): x = x.to(self.gpu_id if self.gpu_id is not None else self.model.device) y = y.to(self.gpu_id if self.gpu_id is not None else self.model.device) with self.ctx: output, _ = self.model(x) + loss = torch.nn.functional.cross_entropy( + output.view(-1, output.size(-1)), + y.view(-1), + reduction='sum' + ) + loss = self.loss_fn(output, y) # will average loss per token - # compute loss - loss = self.loss_fn(output, y) - losses.append(loss.item()) - - # compute perplexity - perplexity = torch.exp(loss) # since seq len is always the same during training anyway - perplexities.append(perplexity.item()) + # Accumulate token-level metrics + total_loss += loss.item() + total_token_count += y.size(0) + if self.evaluate_byte_metrics: + # Compute byte counts for current batch + y_tokens = y.view(-1).cpu().numpy() + byte_counts = self.model.embedding_model.get_byte_lengths(y_tokens) + batch_byte_count = byte_counts.sum() + total_bytes += batch_byte_count + # Accumulate byte-level loss + total_byte_loss += loss_value * batch_byte_count if i >= eval_iters: break - avg_loss = aggregate_value(np.mean(losses), self.cfg.general.device) - eval_results["Val. Loss"] = avg_loss + # Calculate average metrics + avg_loss = total_loss / total_token_count if total_token_count > 0 else float('inf') + avg_perplexity = np.exp(avg_loss) - avg_perplexity = aggregate_value(np.mean(perplexities), self.cfg.general.device) - eval_results["Val. Perplexity"] = avg_perplexity + + + # Store in eval_results + eval_results["Val. Loss"] = aggregate_value(avg_loss, self.cfg.general.device) + eval_results["Val. Perplexity"] = aggregate_value(avg_perplexity, self.cfg.general.device) + + if self.evaluate_byte_metrics: + # Byte-normalized metrics + byte_avg_loss = total_byte_loss / total_bytes if total_bytes > 0 else float('inf') + byte_avg_perplexity = np.exp(byte_avg_loss) if byte_avg_loss < 100 else float('inf') # Avoid overflow + + # Store byte-level metrics + eval_results["Val. Loss (Bytes)"] = aggregate_value(byte_avg_loss, self.cfg.general.device) + eval_results["Val. Perplexity (Bytes)"] = aggregate_value(byte_avg_perplexity, self.cfg.general.device) + # get the mcq eval results eval_results.update( diff --git a/trainers/utils.py b/trainers/utils.py index c4d0734b..0408b68f 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -131,14 +131,14 @@ def restore_print_override(original_print): # Function to print evaluation results and benchmark results def print_evaluation_results(iter_num, eval_results): + table_1_keys = ["Val. Loss", "Val. Perplexity", "Val. Loss (Bytes)", "Val. Perplexity (Bytes)"] headers = ['Metric', 'Value'] table = PrettyTable(headers) - table.add_row( - ['Val. Loss', eval_results['Val. Loss']] - ) - table.add_row( - ['Val. Perplexity', eval_results['Val. Perplexity']] - ) + for t1k in table_1_keys: + if t1k in eval_results: + table.add_row( + [t1k, eval_results[t1k]] + ) print(f"Iteration {iter_num}") print(table) From 60f7dd5c3c69392ea6e5d3e96548a89e5757f45c Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Sat, 14 Sep 2024 09:39:23 +0800 Subject: [PATCH 167/209] updated config --- configs/train/baseline-10m.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index 3d346b4d..6850d473 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -43,10 +43,10 @@ trainer: batch_size: 24 gradient_accumulation_steps: 10 - max_iters: 80000 + max_iters: 50000 eval_interval: 2000 log_interval: 10 - checkpoint_interval: 20000 + checkpoint_interval: 10000 eval_iters: 100 eval: @@ -77,7 +77,7 @@ trainer: lr_scheduler: name: cosine - warmup_iters: 10000 + warmup_iters: 5000 lr_decay_iters: dataloader: From a19129e1404965593855e76822844f4ffffe87a7 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Sat, 14 Sep 2024 11:23:14 +0800 Subject: [PATCH 168/209] updated config --- trainers/base_trainer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 393560f5..44d6f6ab 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -92,7 +92,7 @@ def __init__( def _setup_logging(self, total_parameter_count_str=None): # check if run_name was provided - if self.cfg["general"]["logging"]["run_name"] is not None: + if self.cfg["general"]["logging"].get("run_name", None) is not None: run_name = self.cfg["general"]["logging"]["run_name"] + f" (Size: {total_parameter_count_str})" else: # provide a generic (hopefully descriptive) run name if none was provided From 0ee3ef2ff30d0cb8064c0e8694a494694bab16c6 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Sat, 14 Sep 2024 11:25:00 +0800 Subject: [PATCH 169/209] updated config --- trainers/base_trainer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 44d6f6ab..031c412a 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -172,7 +172,7 @@ def estimate_performance(self, eval_iters=None): total_bytes += batch_byte_count # Accumulate byte-level loss - total_byte_loss += loss_value * batch_byte_count + total_byte_loss += loss_value/y.size(0) * batch_byte_count if i >= eval_iters: break From 92b8d015d0f88b85256c574d0476d7f7682aef3b Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Sat, 14 Sep 2024 11:25:24 +0800 Subject: [PATCH 170/209] updated config --- trainers/base_trainer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 031c412a..87a1fa31 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -172,7 +172,7 @@ def estimate_performance(self, eval_iters=None): total_bytes += batch_byte_count # Accumulate byte-level loss - total_byte_loss += loss_value/y.size(0) * batch_byte_count + total_byte_loss += loss/y.size(0) * batch_byte_count if i >= eval_iters: break From 87f6fc34bbc111db07ec9b39f7b7a4fb3864b7e6 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Sat, 14 Sep 2024 11:26:14 +0800 Subject: [PATCH 171/209] updated config --- trainers/base_trainer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 87a1fa31..42c75036 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -190,7 +190,7 @@ def estimate_performance(self, eval_iters=None): if self.evaluate_byte_metrics: # Byte-normalized metrics byte_avg_loss = total_byte_loss / total_bytes if total_bytes > 0 else float('inf') - byte_avg_perplexity = np.exp(byte_avg_loss) if byte_avg_loss < 100 else float('inf') # Avoid overflow + byte_avg_perplexity = np.exp(byte_avg_loss.cpu()) if byte_avg_loss < 100 else float('inf') # Avoid overflow # Store byte-level metrics eval_results["Val. Loss (Bytes)"] = aggregate_value(byte_avg_loss, self.cfg.general.device) From 3d18b74a014c5864f135fc0fd16537c60b64441a Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Sat, 14 Sep 2024 17:33:31 +0800 Subject: [PATCH 172/209] fixed all evals and WandB --- check_size.py | 2 +- configs/train/baseline-10m.yaml | 8 +- configs/train/baseline-50m.yaml | 46 +++--- evals/__init__.py | 3 +- evals/load_evaluators.py | 25 --- evals/mcqs/mcq_evaluator.py | 2 +- evals/text_generation/prompts.json | 43 ----- evals/text_generation/prompts.py | 98 +++++++++++ .../text_generation_evaluator.py | 97 +++++++++-- .../test_data/chemistry/easy.txt | 17 -- .../test_data/chemistry/hard.txt | 27 ---- .../test_data/chemistry/medium.txt | 33 ---- .../test_data/mathematics/easy.txt | 19 --- .../test_data/mathematics/hard.txt | 46 ------ .../test_data/mathematics/medium.txt | 49 ------ .../test_data/sociology/easy.txt | 23 --- .../test_data/sociology/hard.txt | 25 --- .../test_data/sociology/medium.txt | 21 --- .../text_modeling/text_modeling_evaluator.py | 152 +++++++++--------- models/generator.py | 35 ++-- models/model_shell.py | 65 +++++++- requirements.txt | 3 +- trainers/base_trainer.py | 122 ++++++++------ trainers/evaluator.py | 61 +++++-- trainers/utils.py | 82 +++++++--- 25 files changed, 550 insertions(+), 554 deletions(-) delete mode 100644 evals/load_evaluators.py delete mode 100644 evals/text_generation/prompts.json create mode 100644 evals/text_generation/prompts.py delete mode 100644 evals/text_modeling/test_data/chemistry/easy.txt delete mode 100644 evals/text_modeling/test_data/chemistry/hard.txt delete mode 100644 evals/text_modeling/test_data/chemistry/medium.txt delete mode 100644 evals/text_modeling/test_data/mathematics/easy.txt delete mode 100644 evals/text_modeling/test_data/mathematics/hard.txt delete mode 100644 evals/text_modeling/test_data/mathematics/medium.txt delete mode 100644 evals/text_modeling/test_data/sociology/easy.txt delete mode 100644 evals/text_modeling/test_data/sociology/hard.txt delete mode 100644 evals/text_modeling/test_data/sociology/medium.txt diff --git a/check_size.py b/check_size.py index 1f4c4849..13cdac4b 100644 --- a/check_size.py +++ b/check_size.py @@ -5,7 +5,7 @@ from models.build_models import build_model from models.utils import print_model_stats -@hydra.main(config_path="configs/training_configs", config_name="baseline") +@hydra.main(config_path="configs/train", config_name="baseline") def main(cfg): if "full_configs" in cfg: cfg = cfg["full_configs"] diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index 6850d473..cbc658cd 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -44,7 +44,7 @@ trainer: gradient_accumulation_steps: 10 max_iters: 50000 - eval_interval: 2000 + eval_interval: 5000 log_interval: 10 checkpoint_interval: 10000 eval_iters: 100 @@ -65,6 +65,8 @@ trainer: - "commonsense_qa" mcq_num_samples: 500 eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true optimizer: optimizer_name: adamW @@ -78,7 +80,6 @@ trainer: lr_scheduler: name: cosine warmup_iters: 5000 - lr_decay_iters: dataloader: name: standard @@ -91,9 +92,10 @@ trainer: general: logging: - wandb_log: false + wandb_log: true wandb_project: SuperTinyLanguageModels wandb_run_name: Null + group_name: base_group paths: output_dir: outputs diff --git a/configs/train/baseline-50m.yaml b/configs/train/baseline-50m.yaml index 81c6e308..183d920b 100644 --- a/configs/train/baseline-50m.yaml +++ b/configs/train/baseline-50m.yaml @@ -1,6 +1,7 @@ model: core_model_type: generic - num_layers: 8 + num_layers: 12 + ffn: ffn_type: generic ffn_dim: 2048 @@ -8,6 +9,7 @@ model: normalization: rms_norm bias: true dropout: 0.0 + attn: attn_type: causal num_kv_heads: 16 @@ -15,6 +17,7 @@ model: normalization: rms_norm bias: true dropout: false + embedding_model_type: generic tokenizer_type: bpe tokenizer_dataset_name: en_wiki @@ -38,29 +41,32 @@ trainer: trainer_type: base_trainer dataset: pints batch_size: 24 - gradient_accumulation_steps: 10 + gradient_accumulation_steps: 20 max_iters: 80000 - eval_interval: 2000 + eval_interval: 5000 log_interval: 10 - checkpoint_interval: 20000 + checkpoint_interval: 10000 eval_iters: 100 eval: - mcq_benchmarks: - - "winogrande" - - "hellaswag" - - "arc_easy" - - "blimp" - - "piqa" - - "race_middle" - - "race_high" - - "boolq" - - "openbook_qa_closed" - - "openbook_qa_open" - - "copa" - - "commonsense_qa" - mcq_num_samples: 1000 + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 500 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true optimizer: optimizer_name: adamW @@ -74,7 +80,6 @@ trainer: lr_scheduler: name: cosine warmup_iters: 10000 - lr_decay_iters: dataloader: name: standard @@ -87,9 +92,10 @@ trainer: general: logging: - wandb_log: false + wandb_log: true wandb_project: SuperTinyLanguageModels wandb_run_name: Null + group_name: base_group paths: output_dir: outputs diff --git a/evals/__init__.py b/evals/__init__.py index 8b6e17ec..523602e2 100644 --- a/evals/__init__.py +++ b/evals/__init__.py @@ -3,4 +3,5 @@ """ from evals.mcqs.mcq_evaluator import MCQEvaluator -from evals.text_modeling.text_modeling_evaluator import TextModelingEvaluator \ No newline at end of file +from evals.text_modeling.text_modeling_evaluator import TextModelingEvaluator +from evals.text_generation.text_generation_evaluator import TextGenerationEvaluator \ No newline at end of file diff --git a/evals/load_evaluators.py b/evals/load_evaluators.py deleted file mode 100644 index e0d8eb0b..00000000 --- a/evals/load_evaluators.py +++ /dev/null @@ -1,25 +0,0 @@ -""" -Given an evaluator name, load the evaluator -""" - -from evals.evaluator_interface import EvaluationInterface -from evals.mcqs.mcq_evaluator import MCQEvaluator -from evals.finetuning.glue import FinetuningEvaluator -from evals.finetuning.qa import FinetuningQA -from evals.mcqs.benchmarks.stories_progression import ProgressionEvaluator - - -from evals.text_modeling.text_modeling_evaluator import TextModelingEvaluator - -EVALUATORS_DICT = { - "mcq": MCQEvaluator, - "text_modeling": TextModelingEvaluator, -} - - -def load_evaluator(evaluator_name, model, **kwargs) -> EvaluationInterface: - """ - Given the evaluator name, load the evaluator - """ - return EVALUATORS_DICT[evaluator_name](model, **kwargs) - diff --git a/evals/mcqs/mcq_evaluator.py b/evals/mcqs/mcq_evaluator.py index 89c569bd..109a715e 100644 --- a/evals/mcqs/mcq_evaluator.py +++ b/evals/mcqs/mcq_evaluator.py @@ -77,6 +77,6 @@ def evaluate(self): accuracy = self.evaluate_benchmark( benchmark_name=benchmark_name, num_samples=self.num_samples ) - results[f"MCQ/{benchmark_name}"] = accuracy + results[f"MCQ/{benchmark_name}"] = accuracy.item() return results diff --git a/evals/text_generation/prompts.json b/evals/text_generation/prompts.json deleted file mode 100644 index cdc30a58..00000000 --- a/evals/text_generation/prompts.json +++ /dev/null @@ -1,43 +0,0 @@ -[ - { - "difficulty": "easy", - "prompt": "The morning sun peeked through the curtains, waking Sarah gently from her sleep. She stretched lazily and thought about the day ahead..." - }, - { - "difficulty": "easy", - "prompt": "Walking along the beach, the soft sand beneath his feet, Jake found a mysterious bottle washed up on the shore. Curious, he picked it up and..." - }, - { - "difficulty": "easy", - "prompt": "In a small village surrounded by mountains, there was a legend about a hidden treasure that no one had ever found. Many had searched, but..." - }, - { - "difficulty": "easy", - "prompt": "Emma opened the old, dusty book she found in her grandmother's attic. As she turned the pages, she discovered it was a diary from decades ago that revealed..." - }, - { - "difficulty": "easy", - "prompt": "The crowd cheered loudly as the final seconds ticked away. The underdog team was about to win the championship for the first time, and the players could hardly believe..." - }, - { - "difficulty": "hard", - "prompt": "The complex interplay between dark matter and visible matter in the universe presents one of the most intriguing puzzles in modern astrophysics. Researchers continue to explore..." - }, - { - "difficulty": "hard", - "prompt": "Amidst the rapidly evolving landscape of artificial intelligence, ethical considerations have become increasingly paramount. One of the most pressing issues is..." - }, - { - "difficulty": "hard", - "prompt": "The socioeconomic impacts of climate change are profound and far-reaching, affecting everything from agriculture to global migration patterns. Policymakers are challenged to..." - }, - { - "difficulty": "hard", - "prompt": "Exploring the depths of human consciousness, philosophers have long debated the nature of reality and perception. The concept of subjective experience suggests that..." - }, - { - "difficulty": "hard", - "prompt": "Advancements in quantum computing promise to revolutionize various industries by solving complex problems at unprecedented speeds. However, one of the major challenges that remains is..." - } - ] - \ No newline at end of file diff --git a/evals/text_generation/prompts.py b/evals/text_generation/prompts.py new file mode 100644 index 00000000..f647ee00 --- /dev/null +++ b/evals/text_generation/prompts.py @@ -0,0 +1,98 @@ +GENERATION_PROMPTS = [ + { + "difficulty": "easy", + "prompt": "The morning sun peeked through the curtains, waking Sarah gently from her sleep. She stretched lazily and thought about the day ahead" + }, + { + "difficulty": "easy", + "prompt": "Walking along the beach, the soft sand beneath his feet, Jake found a mysterious bottle washed up on the shore. Curious, he picked it up and" + }, + { + "difficulty": "easy", + "prompt": "In a small village surrounded by mountains, there was a legend about a hidden treasure that no one had ever found. Many had searched, but" + }, + { + "difficulty": "easy", + "prompt": "Emma opened the old, dusty book she found in her grandmother's attic. As she turned the pages, she discovered it was a diary from decades ago that revealed" + }, + { + "difficulty": "easy", + "prompt": "The crowd cheered loudly as the final seconds ticked away. The underdog team was about to win the championship for the first time, and the players could hardly believe" + }, + { + "difficulty": "easy", + "prompt": "Late at night, a distant howl echoed through the forest. James glanced nervously at the fire, wondering what might be lurking in the dark shadows beyond the trees" + }, + { + "difficulty": "easy", + "prompt": "As the spaceship approached the glowing nebula, Captain Lee felt a strange sense of déjà vu. The swirling colors seemed oddly familiar, like a dream she couldn’t quite remember" + }, + { + "difficulty": "easy", + "prompt": "The old clock tower chimed midnight as Mia tiptoed through the library, searching for the secret door that, according to legend, led to a hidden world" + }, + { + "difficulty": "hard", + "prompt": "Earth is the third planet from the sun. It is home to a diverse range of life forms, and its atmosphere plays a key role in maintaining life by trapping heat and providing oxygen" + }, + { + "difficulty": "hard", + "prompt": "The complex interplay between dark matter and visible matter in the universe presents one of the most intriguing puzzles in modern astrophysics. Researchers continue to explore" + }, + { + "difficulty": "hard", + "prompt": "Amidst the rapidly evolving landscape of artificial intelligence, ethical considerations have become increasingly paramount. One of the most pressing issues is" + }, + { + "difficulty": "hard", + "prompt": "The socioeconomic impacts of climate change are profound and far-reaching, affecting everything from agriculture to global migration patterns. Policymakers are challenged to" + }, + { + "difficulty": "hard", + "prompt": "Exploring the depths of human consciousness, philosophers have long debated the nature of reality and perception. The concept of subjective experience suggests that" + }, + { + "difficulty": "hard", + "prompt": "Advancements in quantum computing promise to revolutionize various industries by solving complex problems at unprecedented speeds. However, one of the major challenges that remains is" + }, + { + "difficulty": "hard", + "prompt": "The structure of DNA is a double helix, consisting of two strands that wind around each other. This discovery revolutionized our understanding of genetics and" + }, + { + "difficulty": "hard", + "prompt": "Photosynthesis is the process by which plants convert light energy into chemical energy, enabling them to produce food. This process is vital for life on Earth and" + }, + { + "difficulty": "hard", + "prompt": "Black holes are regions of spacetime where gravity is so strong that nothing, not even light, can escape. They are formed when massive stars collapse, and their study provides insight into" + }, + { + "difficulty": "hard", + "prompt": "A farmer has to cross a river with a wolf, a goat, and a cabbage. He can only take one item across at a time. If left alone together, the wolf will eat the goat, and the goat will eat the cabbage. How can he safely get all three across the river?" + }, + { + "difficulty": "hard", + "prompt": "You are in a room with two doors. One door leads to certain doom, and the other leads to freedom. There are two guards, one who always tells the truth and one who always lies. You can ask one question to determine which door is safe. What do you ask?" + }, + { + "difficulty": "hard", + "prompt": "There are three light switches outside a room. Inside the room, there are three light bulbs. You can only enter the room once. How can you determine which switch controls which light bulb?" + }, + { + "difficulty": "hard", + "prompt": "A prisoner is told: 'If you tell a lie, you will be hanged. If you tell the truth, you will be shot.' What can he say to avoid being hanged or shot?" + }, + { + "difficulty": "hard", + "prompt": "There are two identical jugs, one with a capacity of 5 liters and one with a capacity of 3 liters. How can you measure exactly 4 liters using only these two jugs and an unlimited water supply?" + }, + { + "difficulty": "hard", + "prompt": "A man is looking at a picture of someone. His friend asks, 'Who is that?' The man replies, 'Brothers and sisters, I have none. But that man's father is my father's son.' Who is the man in the picture?" + }, + { + "difficulty": "hard", + "prompt": "You have 9 coins, one of which is slightly heavier than the others. You have a balance scale, and you can only use it twice. How can you determine which coin is the heavier one?" + } + ] diff --git a/evals/text_generation/text_generation_evaluator.py b/evals/text_generation/text_generation_evaluator.py index 5ab07c04..35957f50 100644 --- a/evals/text_generation/text_generation_evaluator.py +++ b/evals/text_generation/text_generation_evaluator.py @@ -2,44 +2,58 @@ Evaluator class for evaluating the models ability to generate error-free gramatically correct and non-repetitive text. """ - +import math +import json +import numpy as np import language_tool_python import textstat from nltk.translate.bleu_score import sentence_bleu, SmoothingFunction from collections import Counter -import math -import json -class TextEvaluator: - def __init__(self, model, prompts, references=None): +# import the prompts +from evals.text_generation.prompts import GENERATION_PROMPTS + + +class TextGenerationEvaluator: + def __init__(self, model, references=None): """ Initializes the TextEvaluator. :param model: The language model to evaluate. - :param prompts: A list of prompts to generate text from. :param references: A list of reference texts corresponding to the prompts (optional). """ self.model = model - with open('prompts.json', 'r') as f: - self.prompts = f.read() - self.references = references if references else ["" for _ in prompts] + self.prompts = GENERATION_PROMPTS + self.references = references if references else ["" for _ in self.prompts] self.generated_texts = [] self.results = [] + self.text_samples = [] # Initialize the grammar checker - self.grammar_tool = language_tool_python.LanguageTool('en-US') + self.grammar_tool = language_tool_python.LanguageToolPublicAPI('en-US') def generate_texts(self): """Generates texts from the prompts using the model.""" - for i in self.prompts: + for i in range(len(self.prompts)): # Generate text using your model (placeholder code) generated_text = self.model.generate( - prompt_item["prompt"], - ) - self.p + prompt=self.prompts[i]["prompt"], + max_new_tokens=250, + temperature=0.7, + top_k=200, + repetition_penalty=1.5, + repetition_window=64 + )[0] self.generated_texts.append(generated_text) + self.text_samples.append( + [ + self.prompts[i]["prompt"], + generated_text + ] + ) + def calculate_metrics(self): """Calculates the specified metrics for the generated texts.""" for idx, text in enumerate(self.generated_texts): @@ -64,8 +78,9 @@ def calculate_metrics(self): # Store the results self.results.append({ - 'prompt': self.prompts[idx], - 'generated_text': text, + #'prompt': self.prompts[idx], + #'generated_text': text, + 'generation_length': len(text), 'errors_per_100_words': errors_per_100_words, 'readability': readability, 'distinct_1': distinct_1, @@ -103,6 +118,56 @@ def evaluate(self): """Runs the full evaluation.""" self.generate_texts() self.calculate_metrics() + return self._process_results() + + + def _process_results(self): + """ Process and clean results for wandb logging """ + + # save generated text as html + html_content = """ + + + + """ + for prompt, generated_text in self.text_samples: + html_content += f""" + + + + + """ + html_content += "
PromptGenerated Text
{prompt}
{generated_text}
" + + # process the quantitative outputs + performance_dict = {} + for i in range(len(self.results)): + for key in self.results[i].keys(): + if key not in performance_dict: + performance_dict[key] = [] + performance_dict[key].append( + self.results[i][key] + ) + + # average + return_dict = {} + for key in performance_dict: + return_dict[f"Text Generation/{key}"] = np.mean(performance_dict[key]) + return return_dict, html_content + def report_results(self): """Returns the evaluation results.""" diff --git a/evals/text_modeling/test_data/chemistry/easy.txt b/evals/text_modeling/test_data/chemistry/easy.txt deleted file mode 100644 index 47e5d897..00000000 --- a/evals/text_modeling/test_data/chemistry/easy.txt +++ /dev/null @@ -1,17 +0,0 @@ -Chemical reactions are processes where substances, called reactants, are transformed into new substances, called products. This transformation occurs when the atoms in the reactants are rearranged to form different molecules. One of the most common examples of a chemical reaction is the burning of wood. When wood burns, it reacts with oxygen in the air to produce carbon dioxide, water, and ash. The wood and oxygen are the reactants, while the carbon dioxide, water, and ash are the products. - -Chemical reactions can be classified into different types. One type is a synthesis reaction, where two or more reactants combine to form a single product. For example, when hydrogen gas reacts with oxygen gas, they combine to form water: \( 2H_2 + O_2 \rightarrow 2H_2O \). Another type is a decomposition reaction, where a single reactant breaks down into two or more products. An example is the decomposition of water into hydrogen and oxygen gases when electricity is passed through it: \( 2H_2O \rightarrow 2H_2 + O_2 \). - -Reactions can also be classified based on energy changes. Exothermic reactions release energy, often in the form of heat, like the burning of wood. Endothermic reactions absorb energy from their surroundings, such as the reaction between baking soda and vinegar, which feels cold to the touch. - -Understanding chemical reactions is important because they are involved in many everyday processes, from cooking food to powering cars. By studying chemical reactions, we can learn how to control them, making them faster, slower, or more efficient depending on our needs. - -Acids and bases are two important types of substances in chemistry that have distinct properties and behaviors. An acid is a substance that can donate a proton (H\(^+\)) to another substance, while a base is a substance that can accept a proton. This ability to donate or accept protons is what makes acids and bases react with each other in a process called neutralization. - -One of the most common examples of an acid is hydrochloric acid (HCl), which is found in stomach acid. When hydrochloric acid dissolves in water, it releases protons, making the solution acidic. On the other hand, sodium hydroxide (NaOH) is a common base. When it dissolves in water, it releases hydroxide ions (OH\(^-\)), which can accept protons from acids. - -The strength of an acid or base depends on how easily it donates or accepts protons. Strong acids, like sulfuric acid (H\(_2\)SO\(_4\)), completely dissociate in water, meaning they donate all their protons. Weak acids, like acetic acid (found in vinegar), only partially dissociate in water. Similarly, strong bases, like potassium hydroxide (KOH), completely dissociate in water, while weak bases, like ammonia (NH\(_3\)), do not. - -The pH scale is used to measure how acidic or basic a solution is. The scale ranges from 0 to 14, with 7 being neutral (neither acidic nor basic). A pH less than 7 indicates an acidic solution, while a pH greater than 7 indicates a basic solution. - -Understanding acids and bases is important because they play a crucial role in many chemical reactions, including those that occur in our bodies, in nature, and in industrial processes. diff --git a/evals/text_modeling/test_data/chemistry/hard.txt b/evals/text_modeling/test_data/chemistry/hard.txt deleted file mode 100644 index c3f658e1..00000000 --- a/evals/text_modeling/test_data/chemistry/hard.txt +++ /dev/null @@ -1,27 +0,0 @@ -Quantum chemistry is the branch of chemistry that uses the principles of quantum mechanics to describe the behavior of electrons in atoms and molecules. Unlike classical physics, which treats particles like electrons as discrete entities with defined paths, quantum mechanics introduces the concept of wave-particle duality, where particles exhibit both wave-like and particle-like properties. - -One of the fundamental equations in quantum chemistry is the Schrödinger equation, which describes how the quantum state of a physical system changes over time. For a single electron in a hydrogen atom, the time-independent Schrödinger equation can be written as: - -\[ --\frac{\hbar^2}{2m} \nabla^2 \psi(\mathbf{r}) + V(\mathbf{r}) \psi(\mathbf{r}) = E \psi(\mathbf{r}) -\] - -Here, \( \psi(\mathbf{r}) \) is the wavefunction of the electron, \( V(\mathbf{r}) \) is the potential energy, \( E \) is the total energy, \( m \) is the mass of the electron, and \( \hbar \) is the reduced Planck constant. The wavefunction \( \psi(\mathbf{r}) \) contains all the information about the electron's state, including the probability distribution of its position. - -In quantum chemistry, molecular orbitals are solutions to the Schrödinger equation for molecules, where electrons are not confined to individual atoms but are distributed over the entire molecule. These orbitals can be bonding, antibonding, or nonbonding, and their interactions determine the stability and reactivity of the molecule. - -The concept of electron correlation is also crucial in quantum chemistry. Electron correlation refers to the interactions between electrons in a molecule that are not captured by the mean-field approximation used in methods like Hartree-Fock theory. Advanced computational techniques, such as Configuration Interaction (CI) and Coupled-Cluster (CC) methods, are employed to account for electron correlation and provide more accurate descriptions of molecular systems. - -Quantum chemistry plays a pivotal role in understanding chemical reactions at the molecular level, predicting the properties of new materials, and designing drugs in the pharmaceutical industry. Its applications extend to various fields, including spectroscopy, photochemistry, and catalysis, making it an essential area of study in modern chemistry. - -Spectroscopy is a powerful analytical technique in chemistry that involves the interaction of electromagnetic radiation with matter to study the structure, composition, and dynamics of molecules. By analyzing the absorption, emission, or scattering of light by a substance, spectroscopy provides detailed information about the energy levels and electronic, vibrational, and rotational states of atoms and molecules. - -One of the most widely used types of spectroscopy is Nuclear Magnetic Resonance (NMR) spectroscopy, which exploits the magnetic properties of certain nuclei, such as hydrogen (\(^1H\)) and carbon (\(^{13}C\)). In NMR spectroscopy, a sample is placed in a strong magnetic field, causing the nuclear spins to align with or against the field. When exposed to radiofrequency radiation, these nuclei can absorb energy and transition between different spin states. The resulting NMR spectrum reveals the chemical environment of the nuclei, allowing for the determination of molecular structure, including functional groups, connectivity, and even stereochemistry. - -Another important technique is Infrared (IR) spectroscopy, which measures the absorption of infrared light by molecules, leading to transitions between vibrational energy levels. Each bond in a molecule has a characteristic vibrational frequency, which corresponds to specific wavelengths of infrared light. By analyzing an IR spectrum, chemists can identify functional groups and characterize the bonding within a molecule. For example, the O-H stretch in alcohols and water appears as a broad absorption band around 3200-3600 cm\(^{-1}\). - -Ultraviolet-Visible (UV-Vis) spectroscopy, on the other hand, focuses on the electronic transitions in molecules. When a molecule absorbs ultraviolet or visible light, electrons are excited from a lower energy orbital to a higher energy orbital. The resulting UV-Vis spectrum provides information about the electronic structure of the molecule, including the presence of conjugated systems, aromatic rings, and charge-transfer complexes. This technique is widely used in the study of transition metal complexes, organic dyes, and biomolecules like proteins and nucleic acids. - -Advanced spectroscopic techniques, such as Raman spectroscopy and X-ray crystallography, further extend the capabilities of spectroscopy in analyzing complex materials. Raman spectroscopy, based on inelastic scattering of light, provides complementary vibrational information to IR spectroscopy and is particularly useful for studying polarizable bonds. X-ray crystallography, meanwhile, offers atomic-level resolution of the three-dimensional structure of crystalline compounds, making it indispensable in fields such as materials science, biology, and pharmacology. - -Spectroscopy's versatility and precision make it an essential tool in modern chemistry, enabling the exploration of molecular properties, reaction mechanisms, and the development of new materials and drugs. diff --git a/evals/text_modeling/test_data/chemistry/medium.txt b/evals/text_modeling/test_data/chemistry/medium.txt deleted file mode 100644 index 793473f9..00000000 --- a/evals/text_modeling/test_data/chemistry/medium.txt +++ /dev/null @@ -1,33 +0,0 @@ -Chemical bonding is the process by which atoms combine to form molecules and compounds. The type of bond formed between atoms depends on the elements involved and their respective electron configurations. The three main types of chemical bonds are ionic bonds, covalent bonds, and metallic bonds. - -An ionic bond occurs when one atom donates an electron to another atom, resulting in the formation of positively and negatively charged ions. These oppositely charged ions are then attracted to each other, forming a stable ionic compound. A common example of an ionic bond is found in sodium chloride (table salt), where a sodium atom donates an electron to a chlorine atom, creating \( Na^+ \) and \( Cl^- \) ions that bond together to form \( NaCl \). - -Covalent bonds, on the other hand, involve the sharing of electrons between atoms. This type of bond usually occurs between non-metal atoms. In a covalent bond, the shared electrons allow each atom to attain the electron configuration of a noble gas, leading to a more stable molecule. For example, in a water molecule (\( H_2O \)), each hydrogen atom shares an electron with the oxygen atom, forming covalent bonds. - -Metallic bonding is a type of bonding found in metals, where electrons are not associated with any specific atom but are free to move throughout the metal lattice. This "sea of electrons" allows metals to conduct electricity and heat efficiently and provides them with their characteristic malleability and ductility. - -The strength and type of chemical bonding in a substance determine many of its physical and chemical properties, such as melting point, boiling point, electrical conductivity, and solubility. Understanding chemical bonding is fundamental to predicting how substances will behave and interact in different chemical environments. - -Thermodynamics is the branch of chemistry that deals with the study of energy and its transformations in chemical systems. It provides a framework for understanding how energy is transferred and how it influences the direction and extent of chemical reactions. The core concepts of thermodynamics are embodied in its four laws: the zeroth, first, second, and third laws. - -The First Law of Thermodynamics, also known as the law of energy conservation, states that energy cannot be created or destroyed in an isolated system; it can only be transferred or transformed from one form to another. Mathematically, this is expressed as: - -\[ -\Delta U = Q - W -\] - -where \( \Delta U \) is the change in the internal energy of the system, \( Q \) is the heat added to the system, and \( W \) is the work done by the system. - -The Second Law of Thermodynamics introduces the concept of entropy, a measure of the disorder or randomness in a system. The law states that in any spontaneous process, the total entropy of the system and its surroundings always increases. This principle explains why certain reactions occur naturally, such as the melting of ice at room temperature, while others do not. - -The Gibbs free energy (\( G \)) is a crucial thermodynamic function that combines enthalpy (\( H \)) and entropy (\( S \)) to predict the spontaneity of a reaction at constant temperature and pressure: - -\[ -\Delta G = \Delta H - T \Delta S -\] - -If \( \Delta G \) is negative, the reaction is spontaneous; if positive, the reaction is non-spontaneous. - -The Third Law of Thermodynamics states that as the temperature of a system approaches absolute zero, the entropy of a perfect crystal approaches a minimum value, typically zero. This law provides a reference point for the calculation of absolute entropies of substances. - -Thermodynamics is widely applied in chemistry, particularly in predicting reaction behavior, designing chemical processes, and understanding phase changes. It also plays a key role in fields like engineering, material science, and environmental science, where energy efficiency and resource management are critical. diff --git a/evals/text_modeling/test_data/mathematics/easy.txt b/evals/text_modeling/test_data/mathematics/easy.txt deleted file mode 100644 index 83c68b11..00000000 --- a/evals/text_modeling/test_data/mathematics/easy.txt +++ /dev/null @@ -1,19 +0,0 @@ -Probability is the branch of mathematics that deals with the likelihood of events happening. When we talk about probability, we usually refer to how likely something is to occur. The probability of an event is always a number between 0 and 1. A probability of 0 means that the event is impossible, while a probability of 1 means that the event is certain to happen. - -To understand probability, let's start with a simple example: flipping a fair coin. A fair coin has two sides, heads and tails, and each side is equally likely to land face up. Since there are two possible outcomes, the probability of getting heads is \( \frac{1}{2} \) or 0.5, and the probability of getting tails is also \( \frac{1}{2} \) or 0.5. - -Another important concept in probability is the idea of independent events. Two events are independent if the occurrence of one does not affect the occurrence of the other. For example, if you flip a coin twice, the result of the first flip does not influence the result of the second flip. The probability of getting two heads in a row is calculated by multiplying the probability of getting heads on the first flip by the probability of getting heads on the second flip: \( \frac{1}{2} \times \frac{1}{2} = \frac{1}{4} \) or 0.25. - -Probability can be applied to many real-life situations, such as predicting the weather, deciding whether to take an umbrella, or determining the chances of winning a game. By understanding probability, we can make better decisions based on the likelihood of different outcomes. - -Geometry is the branch of mathematics that deals with shapes, sizes, and the properties of space. One of the most basic concepts in geometry is the idea of a point, which represents a location in space with no dimensions—no length, width, or height. Points are usually labeled with capital letters like \( A \) or \( B \). - -Another fundamental concept is the line, which is a straight path that extends infinitely in both directions and has no thickness. A line can be defined by any two points on it. If we have two points \( A \) and \( B \), the line passing through them can be denoted as \( \overleftrightarrow{AB} \). - -When a line is drawn between two points, but it doesn't extend infinitely, it is called a line segment. For example, the line segment \( \overline{AB} \) represents the straight path between points \( A \) and \( B \), and it has a finite length. - -Angles are another important concept in geometry. An angle is formed when two rays meet at a common endpoint, called the vertex. Angles are measured in degrees, and there are different types of angles based on their measures. For example, a right angle measures exactly 90 degrees, while an acute angle is less than 90 degrees, and an obtuse angle is more than 90 degrees but less than 180 degrees. - -Triangles, which are three-sided polygons, are a common shape in geometry. The sum of the angles in any triangle is always 180 degrees. Triangles can be classified by their angles or sides. For example, an equilateral triangle has all three sides of equal length, and all three angles are 60 degrees. - -Understanding these basic concepts of geometry helps us describe and analyze the shapes and spaces around us, from the simple shapes we see in everyday life to the complex structures used in architecture and engineering. diff --git a/evals/text_modeling/test_data/mathematics/hard.txt b/evals/text_modeling/test_data/mathematics/hard.txt deleted file mode 100644 index 05f2b8aa..00000000 --- a/evals/text_modeling/test_data/mathematics/hard.txt +++ /dev/null @@ -1,46 +0,0 @@ -Differential geometry is a field of mathematics that uses the techniques of calculus and linear algebra to study the geometry of curves, surfaces, and more generally, manifolds. A manifold is a topological space that locally resembles Euclidean space and allows for the generalization of concepts such as curves and surfaces to higher dimensions. - -One of the key objects of study in differential geometry is the Riemannian manifold, which is a real, smooth manifold equipped with a Riemannian metric. The Riemannian metric is a positive-definite tensor that allows for the measurement of distances and angles on the manifold. Given a Riemannian manifold \( (M, g) \), where \( M \) is the manifold and \( g \) is the metric, the length of a curve \( \gamma(t) \) from point \( p \) to point \( q \) can be computed as: - -\[ -L(\gamma) = \int_a^b \sqrt{g(\gamma'(t), \gamma'(t))} \, dt -\] - -Here, \( \gamma'(t) \) is the tangent vector to the curve \( \gamma(t) \), and the integrand represents the speed of the curve at each point. - -Curvature is another fundamental concept in differential geometry, which measures how much a geometric object deviates from being flat. For a curve on a surface, the Gaussian curvature \( K \) at a point is defined as the product of the principal curvatures \( k_1 \) and \( k_2 \): - -\[ -K = k_1 k_2 -\] - -For a Riemannian manifold, the curvature is described by the Riemann curvature tensor \( R \), which encodes how much the metric \( g \) deviates from the flat metric. The sectional curvature, Ricci curvature, and scalar curvature are specific contractions of the Riemann curvature tensor that provide important geometric and topological information about the manifold. - -The study of geodesics, which are the generalization of straight lines to curved spaces, is central in differential geometry. Geodesics are critical points of the energy functional, and they locally minimize the distance between points on the manifold. The equation governing geodesics is given by the geodesic equation: - -\[ -\frac{d^2 x^\mu}{dt^2} + \Gamma^\mu_{\nu \lambda} \frac{dx^\nu}{dt} \frac{dx^\lambda}{dt} = 0 -\] - -where \( \Gamma^\mu_{\nu \lambda} \) are the Christoffel symbols, which are derived from the metric \( g \). - -Differential geometry has profound implications in theoretical physics, particularly in the theory of general relativity, where the curvature of spacetime is related to the energy-momentum tensor via Einstein's field equations. - -Topology is a branch of mathematics that studies the properties of space that are preserved under continuous deformations, such as stretching and bending, but not tearing or gluing. One of the key concepts in topology is that of a topological space, which is a set \( X \) together with a collection \( \mathcal{T} \) of subsets of \( X \) (called open sets) that satisfies certain axioms. - -A topological space \( (X, \mathcal{T}) \) must satisfy the following conditions: -1. **The empty set and the entire set are open**: \( \emptyset \in \mathcal{T} \) and \( X \in \mathcal{T} \). -2. **Arbitrary unions of open sets are open**: If \( \{U_\alpha\}_{\alpha \in A} \) is a collection of open sets in \( \mathcal{T} \), then \( \bigcup_{\alpha \in A} U_\alpha \in \mathcal{T} \). -3. **Finite intersections of open sets are open**: If \( U_1, U_2, \dots, U_n \) are open sets in \( \mathcal{T} \), then \( \bigcap_{i=1}^n U_i \in \mathcal{T} \). - -A familiar example of a topological space is the real line \( \mathbb{R} \) with the standard topology, where the open sets are all possible unions of open intervals \( (a, b) \) where \( a < b \). - -One of the fundamental concepts in topology is the notion of continuity. A function \( f: X \rightarrow Y \) between two topological spaces \( X \) and \( Y \) is continuous if the preimage of every open set in \( Y \) is an open set in \( X \). This generalizes the usual notion of continuity from calculus, where a function is continuous if it does not have any "jumps" or "breaks." - -Another important concept is that of a homeomorphism, which is a bijective continuous function with a continuous inverse. Two spaces that are homeomorphic are considered to be topologically equivalent, meaning they have the same topological properties. - -Topological invariants are properties of a space that remain unchanged under homeomorphisms. Examples include connectedness, compactness, and the fundamental group. The fundamental group, \( \pi_1(X) \), is a topological invariant that captures information about the loops in a space \( X \). It is defined as the group of homotopy classes of loops based at a point, with the group operation being concatenation of loops. - -In recent developments, topology has found applications in data analysis through the field of topological data analysis (TDA). TDA uses concepts from topology to study the shape of data, providing tools to detect features such as clusters, holes, and voids in datasets. - -Topology also plays a crucial role in modern physics, particularly in the study of spacetime and in theories such as string theory, where the topology of the underlying space can have significant implications for the physical properties of the universe. diff --git a/evals/text_modeling/test_data/mathematics/medium.txt b/evals/text_modeling/test_data/mathematics/medium.txt deleted file mode 100644 index a62aba2a..00000000 --- a/evals/text_modeling/test_data/mathematics/medium.txt +++ /dev/null @@ -1,49 +0,0 @@ -Linear algebra is a branch of mathematics that deals with vectors, vector spaces, and linear transformations. One of the central concepts in linear algebra is the matrix, which is a rectangular array of numbers arranged in rows and columns. Matrices are used to represent linear transformations, which are functions that map vectors to other vectors in a way that preserves vector addition and scalar multiplication. - -Let’s consider a \( 2 \times 2 \) matrix \( A \): - -\[ -A = \begin{pmatrix} a & b \\ c & d \end{pmatrix} -\] - -This matrix can be used to transform a vector \( \mathbf{x} = \begin{pmatrix} x_1 \\ x_2 \end{pmatrix} \) by matrix multiplication: - -\[ -A\mathbf{x} = \begin{pmatrix} a & b \\ c & d \end{pmatrix} \begin{pmatrix} x_1 \\ x_2 \end{pmatrix} = \begin{pmatrix} ax_1 + bx_2 \\ cx_1 + dx_2 \end{pmatrix} -\] - -The result is a new vector in the same vector space. The properties of the matrix \( A \) determine how the vector \( \mathbf{x} \) is transformed. For instance, if \( A \) is a rotation matrix, it will rotate the vector \( \mathbf{x} \) by a certain angle around the origin. - -Another key concept in linear algebra is the determinant of a matrix, which is a scalar value that provides important information about the matrix. For a \( 2 \times 2 \) matrix \( A \), the determinant is calculated as: - -\[ -\text{det}(A) = ad - bc -\] - -The determinant can tell us whether a matrix is invertible (non-zero determinant) or not (zero determinant). If the determinant is zero, the matrix does not have an inverse, which means it cannot be used to uniquely solve a system of linear equations. - -Eigenvalues and eigenvectors are also fundamental in linear algebra. An eigenvector of a matrix \( A \) is a non-zero vector \( \mathbf{v} \) such that when \( A \) is applied to \( \mathbf{v} \), the vector is scaled by a factor \( \lambda \), which is called the eigenvalue: - -\[ -A\mathbf{v} = \lambda\mathbf{v} -\] - -Understanding these concepts is crucial for applications in various fields, including computer graphics, quantum mechanics, and machine learning. - -Abstract algebra is a field of mathematics that studies algebraic structures such as groups, rings, and fields. One of the foundational concepts in abstract algebra is the group, which is a set \( G \) equipped with a binary operation \( \cdot \) that satisfies four important properties: closure, associativity, identity, and invertibility. - -A group \( (G, \cdot) \) must satisfy the following conditions: -1. **Closure**: For all \( a, b \in G \), the result of the operation \( a \cdot b \) must also be in \( G \). -2. **Associativity**: For all \( a, b, c \in G \), the equation \( (a \cdot b) \cdot c = a \cdot (b \cdot c) \) must hold. -3. **Identity**: There must be an element \( e \in G \) such that for every element \( a \in G \), \( e \cdot a = a \cdot e = a \). This element \( e \) is called the identity element. -4. **Invertibility**: For each element \( a \in G \), there must be an element \( b \in G \) such that \( a \cdot b = b \cdot a = e \). The element \( b \) is called the inverse of \( a \). - -An example of a group is the set of integers \( \mathbb{Z} \) with the operation of addition. The set \( \mathbb{Z} \) is closed under addition, addition is associative, the identity element is 0, and every integer \( a \) has an inverse, which is \( -a \). - -Groups can be classified into different types, such as abelian groups, where the operation is commutative (\( a \cdot b = b \cdot a \) for all \( a, b \in G \)), and non-abelian groups, where the operation is not commutative. - -Rings and fields are more complex structures that build on the concept of groups. A ring is a set \( R \) equipped with two binary operations, typically addition and multiplication, that satisfy certain properties. A field is a ring in which every non-zero element has a multiplicative inverse. - -For example, the set of real numbers \( \mathbb{R} \) is a field because it satisfies all the properties of a ring, and every non-zero real number has a multiplicative inverse. - -Abstract algebra has many applications in mathematics and other fields, such as cryptography, coding theory, and physics. diff --git a/evals/text_modeling/test_data/sociology/easy.txt b/evals/text_modeling/test_data/sociology/easy.txt deleted file mode 100644 index e095ea35..00000000 --- a/evals/text_modeling/test_data/sociology/easy.txt +++ /dev/null @@ -1,23 +0,0 @@ -Socialization is the process through which individuals learn the norms, values, behaviors, and social skills appropriate to their society. It is an essential part of human development because it helps people understand how to interact with others and function within their community. Socialization begins at a very young age and continues throughout a person’s life, shaping their identity and role within society. - -The family is often the first and most important agent of socialization. From the moment a child is born, family members teach them basic behaviors like how to eat, speak, and dress. As children grow, they learn more complex social skills, such as how to share with others and follow rules. - -Schools are another crucial agent of socialization. In school, children learn not only academic subjects like math and science but also social norms like punctuality, cooperation, and respect for authority. Schools also expose children to peer groups, where they learn to form relationships with others their age. - -Peers play a significant role in socialization, especially during adolescence. Through interactions with friends, young people learn about social roles, identity, and even cultural norms that may differ from those taught at home or school. - -The media is also a powerful agent of socialization. Television, movies, the internet, and social media all provide information about how people are expected to behave in society. For example, media can influence ideas about beauty, success, and gender roles. - -Socialization is a lifelong process, as people continue to learn and adapt to new roles and environments throughout their lives, such as starting a new job, getting married, or becoming a parent. Understanding socialization helps us see how individuals become functioning members of society and how society itself is maintained over time. - -Culture refers to the beliefs, behaviors, customs, and traditions that are shared by a group of people. It is what makes a group unique and gives them a sense of identity. Culture includes things like language, religion, food, music, art, and social norms—how people are expected to behave in certain situations. - -One of the key aspects of culture is that it is learned. People are not born knowing their culture; they learn it from their families, schools, and communities as they grow up. For example, children learn their native language by listening to their parents and others around them. They also learn about holidays, like Christmas or Diwali, and the customs associated with them. - -Culture can vary widely from one group to another. What is considered normal or polite in one culture might be very different in another. For instance, in some cultures, it is common to greet people with a handshake, while in others, a bow or a kiss on the cheek is more appropriate. Food is another example—certain dishes are popular in one country but might be unfamiliar or even unusual in another. - -Despite these differences, culture also helps bring people together. It gives people a sense of belonging and helps them understand how to interact with others in their society. People within the same culture often share the same values and beliefs, which can help create a strong community. - -Culture is also dynamic, meaning it can change over time. New ideas, technologies, and interactions with other cultures can influence how people think and behave. For example, the spread of the internet has connected people from different cultures in ways that were not possible before, leading to the sharing and blending of cultural practices. - -Understanding culture is important because it helps us appreciate the diversity of human societies and the different ways people live and think around the world. diff --git a/evals/text_modeling/test_data/sociology/hard.txt b/evals/text_modeling/test_data/sociology/hard.txt deleted file mode 100644 index 816ed742..00000000 --- a/evals/text_modeling/test_data/sociology/hard.txt +++ /dev/null @@ -1,25 +0,0 @@ -Social change refers to the transformation of cultural, economic, political, and social institutions and relationships over time. It is a fundamental aspect of human societies, driven by various factors including technological innovations, economic shifts, social movements, and cultural transformations. Theories of social change seek to explain how and why societies change and the consequences of these changes. - -One of the earliest and most influential theories of social change is Karl Marx’s theory of historical materialism. Marx argued that the economic base of a society, which includes the means of production and relations of production, determines its superstructure, encompassing culture, politics, and ideology. According to Marx, social change is primarily driven by class conflict arising from contradictions within the economic system. For example, the transition from feudalism to capitalism was marked by the rise of the bourgeoisie, who challenged the feudal lords, leading to a new economic and social order. Marx predicted that capitalism would eventually be overthrown by the proletariat, leading to a classless, communist society. - -Max Weber offered a different perspective on social change, emphasizing the role of ideas, beliefs, and values. In his work on the Protestant Ethic and the Spirit of Capitalism, Weber argued that the Protestant Reformation, particularly the Calvinist emphasis on hard work and frugality, played a crucial role in the development of capitalism in Western Europe. For Weber, social change could be driven by shifts in cultural values and religious beliefs, not just economic forces. - -Émile Durkheim, another key figure in sociology, focused on the role of social solidarity in social change. In his analysis of the transition from traditional to modern societies, Durkheim argued that the shift from mechanical solidarity, based on shared beliefs and values in simple societies, to organic solidarity, based on the interdependence of individuals in complex societies, was a key aspect of social change. He also explored the consequences of rapid social change, such as anomie, a state of normlessness that can lead to social instability. - -Contemporary theories of social change often integrate multiple factors, recognizing the complexity of modern societies. For example, world-systems theory, developed by Immanuel Wallerstein, examines the global economic system as a source of social change, emphasizing the unequal relationships between core, semi-peripheral, and peripheral nations. Similarly, theories of globalization explore how the increasing interconnectedness of the world impacts social, cultural, and economic change on a global scale. - -Understanding theories of social change is crucial for analyzing how societies evolve and the forces that shape these transformations, whether through conflict, innovation, or cultural diffusion. - -Symbolic interactionism is a sociological perspective that focuses on the subjective meanings and symbols that individuals attach to their interactions and the social world around them. It is rooted in the work of early 20th-century sociologists like George Herbert Mead and Charles Horton Cooley and emphasizes the importance of human agency and the social construction of reality. - -At the core of symbolic interactionism is the concept of the "self," which Mead described as emerging through social interaction. According to Mead, the self is not a static entity but is continuously shaped and reshaped through communication and interaction with others. This process involves the use of symbols, such as language, gestures, and objects, which convey meanings and enable individuals to interpret and respond to the social world. - -One of the key tenets of symbolic interactionism is that meaning is not inherent in objects or actions but is socially constructed through interaction. For example, a handshake can be seen as a symbol of greeting, agreement, or farewell, depending on the context and the shared understanding between the individuals involved. The meaning of the handshake is not fixed but is negotiated and interpreted within the interaction. - -Cooley's concept of the "looking-glass self" further illustrates the role of social interaction in the development of self-identity. According to Cooley, individuals form their self-concept based on how they perceive others see them. This process involves three steps: imagining how we appear to others, imagining their judgment of that appearance, and developing a feeling or response to that judgment. This reflective process highlights the importance of social feedback in shaping our self-perception and behavior. - -Symbolic interactionism also explores the role of "role-taking," where individuals assume the perspective of others to understand their actions and reactions. This ability to take the role of the "other" is crucial for effective communication and social interaction, as it allows individuals to anticipate how others might respond and adjust their behavior accordingly. - -Critics of symbolic interactionism argue that the perspective may overlook larger social structures and power dynamics that influence individual interactions. However, symbolic interactionists maintain that understanding the micro-level processes of meaning-making and interaction is essential for grasping the complexities of social life. - -In contemporary sociology, symbolic interactionism continues to be influential in areas such as identity formation, socialization, and the study of everyday life. It offers valuable insights into how individuals navigate their social worlds and construct meaning in their interactions with others. diff --git a/evals/text_modeling/test_data/sociology/medium.txt b/evals/text_modeling/test_data/sociology/medium.txt deleted file mode 100644 index fb40f4bf..00000000 --- a/evals/text_modeling/test_data/sociology/medium.txt +++ /dev/null @@ -1,21 +0,0 @@ -Social stratification refers to the hierarchical arrangement of individuals and groups in society based on various factors such as wealth, power, education, and occupation. It is a system that ranks people in a way that leads to unequal access to resources and opportunities, which in turn affects their life chances. - -One of the most prominent systems of social stratification is class. In a class system, individuals are grouped into different classes based on their economic position, typically categorized as upper, middle, and lower classes. The upper class consists of individuals with significant wealth and power, often inherited or accumulated through successful businesses. The middle class is usually composed of professionals, small business owners, and skilled workers who have a moderate level of income and education. The lower class includes individuals with lower-paying jobs, limited education, and fewer opportunities for upward mobility. - -Social stratification is not only about economic differences but also includes social status and power. For example, in some societies, certain occupations, like being a doctor or lawyer, carry high social status and are respected, regardless of the actual income they generate. Power, another key element of stratification, refers to the ability of individuals or groups to influence decisions and control resources, often through positions in government, corporations, or other institutions. - -Max Weber, a prominent sociologist, argued that social stratification is based on three key dimensions: class, status, and power. He believed that these dimensions intersect to shape an individual’s overall position in society. For example, a wealthy individual might have high status and power, but someone with significant educational achievements might also achieve high status, even if they do not have as much wealth. - -Social stratification can lead to significant inequalities in society, affecting access to education, healthcare, and job opportunities. It can also influence an individual’s social mobility, or the ability to move up or down the social hierarchy. Societies with rigid stratification systems, like caste systems, have limited social mobility, while more open systems allow for greater movement between classes. - -Understanding social stratification is essential for analyzing the dynamics of inequality and its impact on individuals and groups within society. - -Social institutions are structured systems of social order that govern the behavior and expectations of individuals within a society. They are established patterns of relationships and roles that fulfill essential functions and contribute to the stability and continuity of the social system. Key social institutions include the family, education, religion, economy, and government. - -The family is often considered the most fundamental social institution. It is responsible for the socialization of children, the regulation of sexual behavior, and the provision of emotional and economic support to its members. The family structure can vary widely across cultures, ranging from nuclear families, consisting of parents and their children, to extended families that include grandparents, aunts, uncles, and cousins. - -Education is another crucial social institution that transmits knowledge, skills, values, and norms to individuals. Schools and universities are formal institutions where individuals learn not only academic content but also social skills and cultural values. Education plays a key role in social mobility, as it can provide individuals with the qualifications needed to access better job opportunities and improve their social status. - -Religion is a social institution that involves shared beliefs and practices related to the sacred or the divine. It provides individuals with a sense of meaning and purpose, offers guidelines for moral behavior, and fosters social cohesion through shared rituals and ceremonies. Different religions have their own institutions, such as churches, mosques, temples, and synagogues, which play important roles in the lives of their followers. - -The economy is the social institution that organizes the production, distribution, and consumption of goods and services. It includes diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py index be877f60..7c9181ec 100644 --- a/evals/text_modeling/text_modeling_evaluator.py +++ b/evals/text_modeling/text_modeling_evaluator.py @@ -4,6 +4,8 @@ import os import torch import torch.nn.functional as F +import numpy as np +from datasets import load_dataset from Levenshtein import distance as levenshtein_distance from evals.evaluator_interface import EvaluationInterface @@ -13,35 +15,16 @@ class TextModelingEvaluator(EvaluationInterface): Evaluator class that evaluates models on their language modeling capabilities in a way that is agnostic to the tokenizer used, using byte-level accuracy. """ - def __init__(self, model, topic_list, eval_dir): + def __init__(self, model, topic_list): self.model = model self.topic_list = topic_list # Ensure the model is in evaluation mode self.model.eval() - self.modeling_topics = os.listdir( - os.path.join(eval_dir, "text_modeling", "test_data") - ) - self.modeling_difficulties = ["easy", "medium", "hard"] - self.eval_dir = eval_dir - # Load the text data - self._load_data() + self.data = load_dataset("SuperTinyLanguageModels/text-modeling-eval")["train"] - def _load_data(self): - """ - Load all modeling texts into a dictionary. - """ - self.data = {} - for topic in self.modeling_topics: - self.data[topic] = {} - for difficulty in self.modeling_difficulties: - file_path = os.path.join( - self.eval_dir, "text_modeling", "test_data", topic, f"{difficulty}.txt" - ) - with open(file_path, "r") as f: - self.data[topic][difficulty] = f.read() def _split_into_chunks(self, text, chunk_size=100): """ @@ -79,59 +62,76 @@ def evaluate(self): Evaluate the model on text modeling capabilities. """ results = {} - for topic in self.modeling_topics: - for difficulty in self.modeling_difficulties: - reference_text = self.data[topic][difficulty] - - # Split the text into chunks - chunks = self._split_into_chunks(reference_text) - # TODO the chunks should be stacked and run simulataneously - total_edit_distance = 0 - count = 0 - byte_correct = 0 - byte_count = 0 - - byte_perplexity_total = 0 - - for chunk in chunks: - input_ids, predicted_ids, predicted_token_logits = self._process_chunk(chunk) - - for input_id, predicted_id, pred_logits in zip(input_ids[0], predicted_ids[0], predicted_token_logits[0]): - input_text = self.model.embedding_model.decode([[input_id.item()]])# , skip_special_tokens=True) - predicted_text = self.model.embedding_model.decode([[predicted_id.item()]]) #, skip_special_tokens=True) - input_text_enc = input_text[0].encode("utf-8") - total_edit_distance += levenshtein_distance( - input_text_enc, - predicted_text[0].encode("utf-8") + for i in range(len(self.data)): + reference_text = self.data[i]["text"] + category = self.data[i]["topic"] + difficulty = self.data[i]["difficulty"] + + # Split the text into chunks + chunks = self._split_into_chunks(reference_text) + + # TODO the chunks should be stacked and run simulataneously + total_edit_distance = 0 + count = 0 + byte_correct = 0 + byte_count = 0 + + byte_perplexity_total = 0 + + for chunk in chunks: + input_ids, predicted_ids, predicted_token_logits = self._process_chunk(chunk) + + for input_id, predicted_id, pred_logits in zip(input_ids[0], predicted_ids[0], predicted_token_logits[0]): + input_text = self.model.embedding_model.decode([[input_id.item()]])# , skip_special_tokens=True) + predicted_text = self.model.embedding_model.decode([[predicted_id.item()]]) #, skip_special_tokens=True) + input_text_enc = input_text[0].encode("utf-8") + total_edit_distance += levenshtein_distance( + input_text_enc, + predicted_text[0].encode("utf-8") + ) + # increment count by num bytes + count += len(input_text_enc) + + # calculate byte accuracy + for byte_idx in range(len(input_text_enc)): + if byte_idx < len(predicted_text[0].encode("utf-8")): + if input_text_enc[byte_idx] == predicted_text[0].encode("utf-8")[byte_idx]: + byte_correct += 1 + byte_count += 1 + + # calculate byte perplexity + byte_perplexity_total += torch.exp( + F.cross_entropy( + pred_logits.unsqueeze(0).softmax(dim=-1), + input_id.unsqueeze(0) ) - # increment count by num bytes - count += len(input_text_enc) - - # calculate byte accuracy - for byte_idx in range(len(input_text_enc)): - if byte_idx < len(predicted_text[0].encode("utf-8")): - if input_text_enc[byte_idx] == predicted_text[0].encode("utf-8")[byte_idx]: - byte_correct += 1 - byte_count += 1 - - # calculate byte perplexity - byte_perplexity_total += torch.exp( - F.cross_entropy( - pred_logits.unsqueeze(0).softmax(dim=-1), - input_id.unsqueeze(0) - ) - ).item()*len(input_text_enc) - - - if topic not in results: - results[topic] = { - "easy": {}, - "medium": {}, - "hard": {} - } - - results[topic][difficulty]['Norm. Lev. Dist.'] = total_edit_distance / count - results[topic][difficulty]["Byte Acc."] = byte_correct / byte_count - results[topic][difficulty]["Byte Perplexity"] = byte_perplexity_total / count - - return results \ No newline at end of file + ).item()*len(input_text_enc) + + if category not in results: + results[category] = {} + + if difficulty not in results[category]: + results[category][difficulty] = { + 'Byte Acc.': [], + 'Norm. Lev. Dist': [], + 'Byte Perplexity': [] + } + + + results[category][difficulty]['Norm. Lev. Dist'].append(total_edit_distance / count) + results[category][difficulty]["Byte Acc."].append(byte_correct / byte_count) + results[category][difficulty]["Byte Perplexity"].append(byte_perplexity_total / count) + + structured_output = {} + for category in results.keys(): + for difficulty in results[category].keys(): + structured_output[f"Text Modeling (Byte Acc.)/{category}-{difficulty}"] = np.mean(results[category][difficulty]["Byte Acc."]) + structured_output[f"Text Modeling (Byte Lev. Dist.)/{category}-{difficulty}"] = np.mean(results[category][difficulty]["Norm. Lev. Dist"]) + structured_output[f"Text Modeling (Byte Perplexity)/{category}-{difficulty}"] = np.mean(results[category][difficulty]["Byte Perplexity"]) + + + #structured_output[f"{category}/Byte Acc./{difficulty}"] = np.mean(results[category][difficulty]["Byte Acc."]) + #structured_output[f"{category}/Norm. Lev. Dist/{difficulty}"] = np.mean(results[category][difficulty]["Norm. Lev. Dist"]) + #structured_output[f"{category}/Byte Perplexity/{difficulty}"] = np.mean(results[category][difficulty]["Byte Perplexity"]) + + return structured_output \ No newline at end of file diff --git a/models/generator.py b/models/generator.py index 33b4ab1c..79c702c3 100644 --- a/models/generator.py +++ b/models/generator.py @@ -123,48 +123,33 @@ def generate(self, input_text, max_new_tokens, temperature=1.0, top_k=None): the sequence max_new_tokens times, feeding the predictions back into the model each time. Most likely you'll want to make sure to be in model.eval() mode of operation for this. """ - idx = self.model.embedding_model.tokenize_input(input_string=input_text, - add_eot=False, - truncate=True) + idx = self.model.embedding_model.tokenize_input( + input_string=input_text, + add_eot=False, + truncate=True + ) # push to device idx = torch.tensor(idx).unsqueeze(0).to(torch.device(self.device)) for _ in range(max_new_tokens): # forward the model to get the logits for the index in the sequence - logits = self.model.inference(idx)[0] + logits, _ = self.model.inference(idx) # pluck the logits at the final step and scale by desired temperature logits = logits / temperature # logits have shape (b,t,v) # optionally crop the logits to only the top k options if top_k is not None: v, _ = torch.topk(logits, min(top_k, logits.size(-1))) - # check for dim - if len(v.size()) == 3: - logits[logits < v[:, :, [-1]]] = -float("Inf") - else: - logits[logits < v[:, [-1]]] = -float("Inf") + logits[logits < v[:, :, [-1]]] = -float("Inf") + # apply softmax to convert logits to (normalized) probabilities probs = torch.nn.functional.softmax(logits, dim=-1) - # sample from the distribution - # check if byte-level and if so, flatten - if len(probs.size()) == 4: - B, S, S_c, H = probs.size() - probs = probs.view(B* S * S_c, H) - flattened = True - else: - flattened = False - - idx_next = torch.multinomial(probs, num_samples=1) - # check if byte-level and if so, unflatten - if flattened: - idx_next = idx_next.view(B, S) - elif idx_next == self.model.embedding_model.eot_token: + # check if done + if idx_next == self.model.embedding_model.eot_token: break - if flattened: - idx_next = idx_next.unsqueeze(0) idx = torch.cat((idx, idx_next), dim=1) return self.model.embedding_model.decode(idx.tolist()) diff --git a/models/model_shell.py b/models/model_shell.py index a3144673..403fa63a 100644 --- a/models/model_shell.py +++ b/models/model_shell.py @@ -111,4 +111,67 @@ def loglikelihood(self, prefixes, continuations): mask = mask[:, 1:].reshape(-1).to(ll.device) ll = ll * mask ll = ll.view(input_tensor.size(0), -1).sum(dim=1) - return -ll \ No newline at end of file + return -ll + + + @torch.no_grad() + def generate(self, + prompt: str, + max_new_tokens: int=100, + temperature: float=1.0, + top_k: int=None, + repetition_penalty: float=None, + repetition_window: int=None + ): + """ Basic text generation function. """ + + # tokenize input tokens + idx = self.embedding_model.tokenize_input( + input_string=prompt, + add_eot=False, + truncate=True + ) + + # push to device + idx = torch.tensor(idx).unsqueeze(0).to(torch.device(self.device)) + for _ in range(max_new_tokens): + # forward the model to get the logits for th index in the sequence + logits, _ = self.inference(idx) + + # scale by temp + logits = logits / temperature + + + # apply repetition penalty + if repetition_penalty is not None: + # Get the most recent tokens within the window + recent_tokens = idx[0, -repetition_window:] + # Count the occurrences of each token + unique_tokens, counts = torch.unique( + recent_tokens, + return_counts=True + ) + # Apply penalty to the logits of repeated tokens + logits[0, unique_tokens] /= repetition_penalty ** counts.float() + + + # crop logits to top_k + if top_k is not None: + v, _ = torch.topk(logits, min(top_k, logits.size(-1))) + logits[logits < v[:, [-1]]] = -float("Inf") + + + # apply softmax to convert logits to (normalized) probabilities + probs = torch.nn.functional.softmax(logits, dim=-1) + # sample from the disstribution + idx_next = torch.multinomial(probs, num_samples=1) + + # check if end of text + if idx_next == self.embedding_model.eot_token: + break + + # otherwaise append + idx = torch.cat((idx, idx_next), dim=1) + + # return back as string + return self.embedding_model.decode(idx.tolist()) diff --git a/requirements.txt b/requirements.txt index 695c4e83..77e57bcf 100644 --- a/requirements.txt +++ b/requirements.txt @@ -8,4 +8,5 @@ prettytable levenshtein sentencepiece textstat -language-tool-python \ No newline at end of file +language-tool-python +nltk \ No newline at end of file diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 42c75036..f0b636b4 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -7,7 +7,11 @@ # local imports from trainers import utils, data_utils -from trainers.evaluator import train_eval_mcq, train_eval_text_modeling +from trainers.evaluator import ( + train_eval_mcq, + train_eval_text_modeling, + train_eval_text_generation +) from trainers.utils import aggregate_value, print_evaluation_results from models.utils import print_model_stats @@ -97,21 +101,30 @@ def _setup_logging(self, total_parameter_count_str=None): else: # provide a generic (hopefully descriptive) run name if none was provided run_name = ( - f"{self.cfg.model['model_shell_type']}" - f"_{self.cfg.model['embedding_model_type']}" - f"_{self.cfg.model['core_model_type']}" - f"_{self.cfg.model['lm_head_type']}" - f"_{self.cfg.trainer['dataset']}" + f"Unname_Model_{self.cfg.trainer['dataset']}" f"_{self.cfg.model['vocab_size']}" f"_Parameters_{total_parameter_count_str}" ) + # Specific the tags + tags = [ + f"Core-{self.cfg.model.get('core_model_type', None)}", + f"Shell-{self.cfg.model.get('model_shell_type', None)}", + f"Embebdding-{self.cfg.model.get('embedding_model_type', None)}", + f"LM_Head-{self.cfg.model.get('lm_head_type', None)}", + f"Dataset-{self.cfg.model.get('dataset', None)}", + f"Vocab_size-{self.cfg.model.get('vocab_size', None)}", + f"Parameters-{total_parameter_count_str.split('.')[0]}" + ] + + wandb.init( - project=self.cfg.general.logging.wandb_project, + project=self.cfg["general"]["logging"].get("wandb_project", "SuperTinyLanguageModels"), config=OmegaConf.to_container(self.cfg), name=run_name, + tags=tags ) - print("wand_b_initted") + print("Weight and Biases Initialized") def _setup_ctx(self): """Get the context manager""" @@ -132,11 +145,16 @@ def _setup_scaler(self, dtype=torch.float16): @torch.no_grad() - def estimate_performance(self, eval_iters=None): + def estimate_performance(self, iter_num, eval_iters=None): """Estimate the loss""" - if eval_iters is None: - eval_iters = self.cfg["trainer"]["eval_iters"] - eval_results = {} + # initialize eval results + eval_results = { + "iter": iter_num, + "token_num": self.batch_size*self.gradient_accumulation_steps*iter_num*self.cfg.model["context_window"], + } + + + # make sure the model is in eval mode self.model.eval() # initialize accumulators @@ -184,8 +202,8 @@ def estimate_performance(self, eval_iters=None): # Store in eval_results - eval_results["Val. Loss"] = aggregate_value(avg_loss, self.cfg.general.device) - eval_results["Val. Perplexity"] = aggregate_value(avg_perplexity, self.cfg.general.device) + eval_results["Validation/Loss"] = aggregate_value(avg_loss, self.cfg.general.device) + eval_results["Validation/Perplexity"] = aggregate_value(avg_perplexity, self.cfg.general.device) if self.evaluate_byte_metrics: # Byte-normalized metrics @@ -193,8 +211,8 @@ def estimate_performance(self, eval_iters=None): byte_avg_perplexity = np.exp(byte_avg_loss.cpu()) if byte_avg_loss < 100 else float('inf') # Avoid overflow # Store byte-level metrics - eval_results["Val. Loss (Bytes)"] = aggregate_value(byte_avg_loss, self.cfg.general.device) - eval_results["Val. Perplexity (Bytes)"] = aggregate_value(byte_avg_perplexity, self.cfg.general.device) + eval_results["Validation/Loss (Bytes)"] = aggregate_value(byte_avg_loss, self.cfg.general.device).item() + eval_results["Validation/Perplexity (Bytes)"] = aggregate_value(byte_avg_perplexity, self.cfg.general.device).item() # get the mcq eval results @@ -206,17 +224,46 @@ def estimate_performance(self, eval_iters=None): ) ) # get the text modeling eval results - eval_results.update( - train_eval_text_modeling( - model=self.model, - topic_list=self.cfg["trainer"]["eval"].get("text_modeling_topics", []), - eval_dir=self.cfg["general"]["paths"]["eval_dir"], + if self.cfg["trainer"]["eval"].get("text_modeling_eval", False): + eval_results.update( + train_eval_text_modeling( + model=self.model, + topic_list=self.cfg["trainer"]["eval"].get("text_modeling_topics", []), + ) + ) + + if self.cfg["trainer"]["eval"].get("text_generation_eval", False): + text_generation_results, text_generation_sample_html = train_eval_text_generation( + model=self.model + ) + eval_results.update(text_generation_results) + + # log the generated text + wandb.log( + { + "Generated Text": wandb.Html( + text_generation_sample_html + ) + }, + step=eval_results["token_num"] ) - ) # set model back into train mode self.model.train() + # print the eval results + print_evaluation_results( + iter_num=iter_num, + eval_results=eval_results + ) + + # log the evaluation results + if (self.gpu_id==0 or self.gpu_id is None) and self.use_wandb: # ensure only the first GPU logs + wandb.log( + eval_results, + step=eval_results["token_num"] + ) + return eval_results @@ -292,28 +339,11 @@ def run_training_loop(self): if ( not iter_num % self.cfg["trainer"]["eval_interval"] ): # run on first iter to prevent bugs causing it to crash - eval_results = self.estimate_performance() - - # print the evals as table - # evals format is d1: type d2: train/val - print_evaluation_results( - iter_num=iter_num, - eval_results=eval_results, + self.estimate_performance( + iter_num=iter_num, + eval_iters=self.cfg["trainer"].get("eval_iters", 100) ) - # extend eval results with general information - eval_results.update( - { - "iter": iter_num, - "lr": lr, - "token_num": self.batch_size*self.gradient_accumulation_steps*iter_num*self.cfg.model["context_window"], - } - ) - - # Log to wandb - if (self.gpu_id == 0 or self.gpu_id is None) and self.use_wandb: # ensure only the first GPU logs - wandb.log(eval_results) - # save checkpoints if ( not iter_num % self.cfg["trainer"]["checkpoint_interval"] @@ -338,13 +368,15 @@ def run_training_loop(self): ## print and log the result only on the first GPU after aggregation print(f"All GPU(s): step {iter_num}: loss {lossf:.4f}, lr {lr:.1e}, dt {end_time-start_time:.1f}s") if (self.gpu_id == 0 or self.gpu_id is None) and self.use_wandb: + token_num = self.batch_size*self.gradient_accumulation_steps*iter_num*self.cfg["model"]["context_window"] wandb.log( { "iter": iter_num, "loss": lossf, "lr": lr, - "token_num": self.batch_size*self.gradient_accumulation_steps*iter_num*self.cfg.model["context_window"], - } + "token_num": token_num, + }, + step=token_num ) # save the final model if self.gpu_id == 0 or self.gpu_id is None: ## ensure only the first GPU saves the model @@ -353,4 +385,4 @@ def run_training_loop(self): def train(self, seed=42): """Train the model""" utils.set_seed(seed) - self.run_training_loop() + self.run_training_loop() \ No newline at end of file diff --git a/trainers/evaluator.py b/trainers/evaluator.py index 88e1fa8a..5c70679b 100644 --- a/trainers/evaluator.py +++ b/trainers/evaluator.py @@ -3,29 +3,56 @@ from evals import ( MCQEvaluator, TextModelingEvaluator, + TextGenerationEvaluator ) def train_eval_mcq(model, num_samples, benchmark_list): """ Create and run the MCQ evaluator """ - # load the MCQ evaluator - evaluator = MCQEvaluator( - model=model, - num_samples=num_samples, - benchmark_list=benchmark_list, - ) - # run the evaluator - return evaluator.evaluate() + # wrap so failure doesn't crash the full run + try: + # load the MCQ evaluator + evaluator = MCQEvaluator( + model=model, + num_samples=num_samples, + benchmark_list=benchmark_list, + ) + # run the evaluator + return evaluator.evaluate() + except Exception as exc: + print(f"The MCQ evaluator failed vai: {exc}") + return {} -def train_eval_text_modeling(model, topic_list, eval_dir): +def train_eval_text_modeling(model, topic_list): """ Test the model """ - # load the Text Modeling evaluator - evaluator = TextModelingEvaluator( - model=model, - topic_list=topic_list, - eval_dir=eval_dir - ) - # run the evaluator - return evaluator.evaluate() \ No newline at end of file + # wrap so failure doesn't crash the full run + try: + # load the Text Modeling evaluator + evaluator = TextModelingEvaluator( + model=model, + topic_list=topic_list, + ) + # run the evaluator + return evaluator.evaluate() + except Exception as exc: + print(f"The MCQ evaluator failed vai: {exc}") + return {} + + +def train_eval_text_generation(model): + """ Test the model stext generation capability """ + # wrap so failure doesn't crash the full run + try: + # load the Text Generation evaluator + evaluator = TextGenerationEvaluator( + model=model + ) + + # run the evaluator + return evaluator.evaluate() + except Exception as exc: + print(f"The MCQ evaluator failed vai: {exc}") + return {} + diff --git a/trainers/utils.py b/trainers/utils.py index 0408b68f..87f61f38 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -131,25 +131,69 @@ def restore_print_override(original_print): # Function to print evaluation results and benchmark results def print_evaluation_results(iter_num, eval_results): - table_1_keys = ["Val. Loss", "Val. Perplexity", "Val. Loss (Bytes)", "Val. Perplexity (Bytes)"] - headers = ['Metric', 'Value'] - table = PrettyTable(headers) - for t1k in table_1_keys: - if t1k in eval_results: - table.add_row( - [t1k, eval_results[t1k]] + val_table = PrettyTable(["Metric", "Value"]) + mcq_table = PrettyTable(["Benchmark", "Accuracy"]) + text_modeling_table = PrettyTable( + [ + "Topic", "Difficulty", "Byte Acc.", + "Byte Lev. Dist.", "Byte Perplexity" + ] + ) + text_generation_table = PrettyTable( + [ + "Metric", "Value" + ] + ) + + text_modeling_struct = {} + for eval_name in eval_results.keys(): + if "Validation" in eval_name: + val_table.add_row( + [eval_name, eval_results[eval_name]] + ) + elif "Text Modeling" in eval_name: + metric = eval_name.split(")/")[0].replace( + "Text Modeling (", "" + ) + category = eval_name.split("/")[1].split("-")[0] + difficulty = eval_name.split("/")[1].split("-")[1] + if category not in text_modeling_struct: + text_modeling_struct[category] = {} + if difficulty not in text_modeling_struct[category]: + text_modeling_struct[category][difficulty] = {} + text_modeling_struct[category][difficulty][metric] = eval_results[eval_name] + elif "MCQ" in eval_name: + mcq_table.add_row( + [eval_name, eval_results[eval_name]] + ) + elif "Text Generation" in eval_name: + text_generation_table.add_row( + [eval_name.replace('Text Generation/',''), eval_results[eval_name]] + ) + elif eval_name in ["iter", "token_num"]: + continue # skip these + else: + print(f"Eval pretty print received: {eval_name} metric without printing it. It'll still be logged in wandb") + + # populate text modeling table + for category in text_modeling_struct.keys(): + for difficulty in text_modeling_struct[category].keys(): + text_modeling_table.add_row( + [ + category, + difficulty, + text_modeling_struct[category][difficulty]["Byte Acc."], + text_modeling_struct[category][difficulty]["Byte Lev. Dist."], + text_modeling_struct[category][difficulty]["Byte Perplexity"] + ] ) - print(f"Iteration {iter_num}") - print(table) - - ignore = ["Val. Loss", "Val. Perplexity"] - benchmark_table = PrettyTable(["Benchmark", "Accuracy"]) - for benchmark, value in eval_results.items(): - if benchmark in ignore: - continue - benchmark_table.add_row([benchmark, value]) - print("Benchmark Results") - print(benchmark_table) - print("\n\n") + print(f"Token Num: {eval_results['token_num']}\tIteration {iter_num} - Validation Results") + print(val_table) + print(f"\n MCQ Results") + print(mcq_table) + print(f"\n Text-Modeling Results") + print(text_modeling_table) + print(f"\n Text-Generation Results") + print(text_generation_table) From cc4143c79ee1c25c6f5a40bd56d06aac1acac408 Mon Sep 17 00:00:00 2001 From: bobbycxy Date: Mon, 16 Sep 2024 01:05:35 +0800 Subject: [PATCH 173/209] Added bytelevel() to pre-tokenizer and decoder of tokenizer in BPE Adjusted the shape of the logits. --- models/components/layers/tokenizers.py | 7 ++++++- models/generator.py | 2 +- 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/models/components/layers/tokenizers.py b/models/components/layers/tokenizers.py index c2dc5dd8..98ffe335 100644 --- a/models/components/layers/tokenizers.py +++ b/models/components/layers/tokenizers.py @@ -17,8 +17,10 @@ from tokenizers import Tokenizer from tokenizers.models import BPE from tokenizers.trainers import BpeTrainer -from tokenizers.pre_tokenizers import PreTokenizer, WhitespaceSplit, Sequence, Split +from tokenizers.pre_tokenizers import PreTokenizer, WhitespaceSplit, Sequence, Split, ByteLevel from tokenizers.normalizers import NFD, StripAccents, Replace, Sequence as NormalizerSequence +from tokenizers import decoders + class TokenizerClass: @@ -172,6 +174,8 @@ def _train_tokenizer(self, verbose: bool = True): # Initialize a new tokenizer self.tokenizer = Tokenizer(BPE(unk_token="[UNK]", dropout=0.1)) + # Set the decoder to ByteLevel + self.tokenizer.decoder = decoders.ByteLevel() # Initialize the trainer trainer = BpeTrainer( @@ -195,6 +199,7 @@ def _train_tokenizer(self, verbose: bool = True): WhitespaceSplit(), # Split on whitespace # Split digits and isolate them Split(r'\d', behavior='isolated'), # Each digit is a separate token + ByteLevel() # Byte-level encoding ]) # Prepare the training data with filtering diff --git a/models/generator.py b/models/generator.py index 79c702c3..109b665e 100644 --- a/models/generator.py +++ b/models/generator.py @@ -139,7 +139,7 @@ def generate(self, input_text, max_new_tokens, temperature=1.0, top_k=None): # optionally crop the logits to only the top k options if top_k is not None: v, _ = torch.topk(logits, min(top_k, logits.size(-1))) - logits[logits < v[:, :, [-1]]] = -float("Inf") + logits[logits < v[:, [-1]]] = -float("Inf") # logits[logits < v[:, :, [-1]]] = -float("Inf") # apply softmax to convert logits to (normalized) probabilities probs = torch.nn.functional.softmax(logits, dim=-1) From 27515a028931ca94d964ba042db7527070b31f5e Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Mon, 16 Sep 2024 09:21:25 +0800 Subject: [PATCH 174/209] minor changes --- configs/train/baseline-10m.yaml | 11 ++++++----- trainers/base_trainer.py | 28 ++++++++++++++++++++++------ trainers/build_trainers.py | 1 - 3 files changed, 28 insertions(+), 12 deletions(-) diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index cbc658cd..f8f63e71 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -1,10 +1,10 @@ model: core_model_type: generic - num_layers: 8 + num_layers: 19 ffn: ffn_type: generic - ffn_dim: 2048 + ffn_dim: 1536 activation: gelu normalization: rms_norm bias: true @@ -12,7 +12,7 @@ model: attn: attn_type: causal - num_kv_heads: 8 + num_kv_heads: 12 num_q_heads: 4 normalization: rms_norm bias: true @@ -24,7 +24,7 @@ model: tokenizer_simplify_data: true vocab_size: 4000 - hidden_dim: 512 + hidden_dim: 384 context_window: 2048 lm_head_type: generic @@ -35,6 +35,7 @@ model: model_shell_type: standard embedding_weight_tying: true ffn_weight_tying: true + cproj_weight_tying: false positional_encoding_type: rope trainer: @@ -92,7 +93,7 @@ trainer: general: logging: - wandb_log: true + wandb_log: false wandb_project: SuperTinyLanguageModels wandb_run_name: Null group_name: base_group diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index f0b636b4..eba3dbdd 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -88,24 +88,40 @@ def __init__( self.evaluate_byte_metrics = self.cfg["trainer"]["eval"].get("eval_byte_metrics", False) + # print training statistics + train_token_count = f"{len(train_dataloader.dataset)/1e9:.2f}B" + val_token_count = f"{len(val_dataloader.dataset)/1e9:.2f}B" + + print(f"Training the model on {train_token_count} tokens.") + if self.use_wandb and (self.gpu_id == 0 or not self.dist): ## ensures that only the first GPU logs to wandb self._setup_logging( - total_parameter_count_str=total_params_formated + total_parameter_count_str=total_params_formated, + train_token_count=train_token_count, + val_token_count=val_token_count ) - def _setup_logging(self, total_parameter_count_str=None): + def _setup_logging( + self, + total_parameter_count_str=None, + train_token_count=None, + val_token_count=None + ): # check if run_name was provided if self.cfg["general"]["logging"].get("run_name", None) is not None: - run_name = self.cfg["general"]["logging"]["run_name"] + f" (Size: {total_parameter_count_str})" + run_name = self.cfg["general"]["logging"]["run_name"] + \ + f" (Size: {total_parameter_count_str})" else: # provide a generic (hopefully descriptive) run name if none was provided run_name = ( f"Unname_Model_{self.cfg.trainer['dataset']}" f"_{self.cfg.model['vocab_size']}" f"_Parameters_{total_parameter_count_str}" + f"_TrainTokens_{train_token_count}" ) + # Specific the tags tags = [ f"Core-{self.cfg.model.get('core_model_type', None)}", @@ -114,7 +130,9 @@ def _setup_logging(self, total_parameter_count_str=None): f"LM_Head-{self.cfg.model.get('lm_head_type', None)}", f"Dataset-{self.cfg.model.get('dataset', None)}", f"Vocab_size-{self.cfg.model.get('vocab_size', None)}", - f"Parameters-{total_parameter_count_str.split('.')[0]}" + f"Parameters-{total_parameter_count_str.split('.')[0]}", + f"TrainTokens-{train_token_count}", + f"ValTokens-{val_token_count}" ] @@ -176,7 +194,6 @@ def estimate_performance(self, iter_num, eval_iters=None): y.view(-1), reduction='sum' ) - loss = self.loss_fn(output, y) # will average loss per token # Accumulate token-level metrics total_loss += loss.item() @@ -310,7 +327,6 @@ def _run_step(self): return accumulated_loss - def _save_model(self, iter_num=0): """ store the current model checkpoint. diff --git a/trainers/build_trainers.py b/trainers/build_trainers.py index 9885abfd..0e8b5a27 100644 --- a/trainers/build_trainers.py +++ b/trainers/build_trainers.py @@ -144,7 +144,6 @@ def build_trainer(cfg, model, gpu_id, loaded_train_config): train_dataset = build_dataset(cfg=cfg, split="train") val_dataset = build_dataset(cfg=cfg, split="val") - # wrap in dataloaders train_dataloader = torch.utils.data.DataLoader( dataset=train_dataset, From fa75fce1f00de7c8253f17a954c5ba30e27000e7 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Mon, 16 Sep 2024 09:24:23 +0800 Subject: [PATCH 175/209] minor changes --- configs/train/baseline-10m.yaml | 2 +- trainers/base_trainer.py | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index f8f63e71..7631464d 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -93,7 +93,7 @@ trainer: general: logging: - wandb_log: false + wandb_log: true wandb_project: SuperTinyLanguageModels wandb_run_name: Null group_name: base_group diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index eba3dbdd..025974ee 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -224,12 +224,12 @@ def estimate_performance(self, iter_num, eval_iters=None): if self.evaluate_byte_metrics: # Byte-normalized metrics - byte_avg_loss = total_byte_loss / total_bytes if total_bytes > 0 else float('inf') - byte_avg_perplexity = np.exp(byte_avg_loss.cpu()) if byte_avg_loss < 100 else float('inf') # Avoid overflow + eval_results["Validation/Loss (Bytes)"] = aggregate_value(total_byte_loss, self.cfg.general.device).item() / total_bytes if total_bytes > 0 else float('inf') + eval_results["Validation/Perplexity (Bytes)"] = np.exp(aggregate_value(byte_avg_loss, self.cfg.general.device).cpu().item()) if byte_avg_loss < 100 else float('inf') # Avoid overflow # Store byte-level metrics - eval_results["Validation/Loss (Bytes)"] = aggregate_value(byte_avg_loss, self.cfg.general.device).item() - eval_results["Validation/Perplexity (Bytes)"] = aggregate_value(byte_avg_perplexity, self.cfg.general.device).item() + #eval_results["Validation/Loss (Bytes)"] = aggregate_value(byte_avg_loss, self.cfg.general.device).item() + #eval_results["Validation/Perplexity (Bytes)"] = aggregate_value(byte_avg_perplexity, self.cfg.general.device).item() # get the mcq eval results From 7e42b06216832f9b4d6c01fecd8dfdba296b3ceb Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Mon, 16 Sep 2024 09:26:17 +0800 Subject: [PATCH 176/209] minor changes --- trainers/base_trainer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 025974ee..89e63fb0 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -225,7 +225,7 @@ def estimate_performance(self, iter_num, eval_iters=None): if self.evaluate_byte_metrics: # Byte-normalized metrics eval_results["Validation/Loss (Bytes)"] = aggregate_value(total_byte_loss, self.cfg.general.device).item() / total_bytes if total_bytes > 0 else float('inf') - eval_results["Validation/Perplexity (Bytes)"] = np.exp(aggregate_value(byte_avg_loss, self.cfg.general.device).cpu().item()) if byte_avg_loss < 100 else float('inf') # Avoid overflow + eval_results["Validation/Perplexity (Bytes)"] = np.exp(eval_results["Validation/Loss (Bytes)"]) if eval_results["Validation/Loss (Bytes)"] < 100 else float('inf') # Avoid overflow # Store byte-level metrics #eval_results["Validation/Loss (Bytes)"] = aggregate_value(byte_avg_loss, self.cfg.general.device).item() From 8fd3e1b98487818101ed8e2d4b71ff8e18bafa39 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Mon, 16 Sep 2024 09:57:42 +0800 Subject: [PATCH 177/209] changed baseline setup --- configs/train/baseline-10m.yaml | 10 +++++----- trainers/datasets.py | 17 ++++++++++------- 2 files changed, 15 insertions(+), 12 deletions(-) diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index 7631464d..5e7d952f 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -1,13 +1,13 @@ model: core_model_type: generic - num_layers: 19 + num_layers: 6 ffn: ffn_type: generic - ffn_dim: 1536 + ffn_dim: 1408 activation: gelu normalization: rms_norm - bias: true + bias: false dropout: 0.0 attn: @@ -15,7 +15,7 @@ model: num_kv_heads: 12 num_q_heads: 4 normalization: rms_norm - bias: true + bias: false dropout: false embedding_model_type: generic @@ -34,7 +34,7 @@ model: model_shell_type: standard embedding_weight_tying: true - ffn_weight_tying: true + ffn_weight_tying: false cproj_weight_tying: false positional_encoding_type: rope diff --git a/trainers/datasets.py b/trainers/datasets.py index 4405a0ff..6c0c97ac 100644 --- a/trainers/datasets.py +++ b/trainers/datasets.py @@ -74,14 +74,17 @@ def __iter__(self): """ while True: # Get a random index - idx = random.randint(0, self.dataset_len - 1) - - # Extract a slice of data for x and y - x = torch.from_numpy((self.data[idx: idx + self.context_window]).astype(np.int64)) - y = torch.from_numpy((self.data[idx + 1: idx + 1 + self.context_window]).astype(np.int64)) + #idx = random.randint(0, self.dataset_len - 1) ## TODO: shouldn't be necessary if it is already + # shuffled at the document level in the load_data function + + for idx in range(self.dataset_len): - # Yield the data points - yield x, y + # Extract a slice of data for x and y + x = torch.from_numpy((self.data[idx: idx + self.context_window]).astype(np.int64)) + y = torch.from_numpy((self.data[idx + 1: idx + 1 + self.context_window]).astype(np.int64)) + + # Yield the data points + yield x, y class BytePoolingDataset(DatasetInterface): From 5bbd766c09f520323eff7d4807b638ec3ccb8f77 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Mon, 16 Sep 2024 09:58:57 +0800 Subject: [PATCH 178/209] changed baseline setup --- trainers/base_trainer.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 89e63fb0..5a531502 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -140,7 +140,8 @@ def _setup_logging( project=self.cfg["general"]["logging"].get("wandb_project", "SuperTinyLanguageModels"), config=OmegaConf.to_container(self.cfg), name=run_name, - tags=tags + tags=tags, + group=self.cfg["general"]["logging"].get("group_name", "General") ) print("Weight and Biases Initialized") From 0e99f915ac45004a354e4e6b06039d1a4ad0860e Mon Sep 17 00:00:00 2001 From: bobbycxy Date: Mon, 16 Sep 2024 10:45:39 +0800 Subject: [PATCH 179/209] added max new tokens for standard.yaml replaced the static generator class usage with one that uses a generator_dict troubleshooted the issues where the beam_search flattened the results, when the embedding_model object decodes as a batch. --- configs/generate.yaml | 3 ++- configs/generator/standard.yaml | 1 + generate.py | 9 +++------ models/generator.py | 18 ++++++++++++------ 4 files changed, 18 insertions(+), 13 deletions(-) diff --git a/configs/generate.yaml b/configs/generate.yaml index 93834ccb..f4563ac2 100644 --- a/configs/generate.yaml +++ b/configs/generate.yaml @@ -1,5 +1,6 @@ defaults: - - generator + - generator: beam_search + - _self_ model_ckpt: "checkpoints/...pt" max_new_tokens: 200 input_text: "Earth is the third planet from the Sun and the only astronomical object known to harbor life. This is enabled by Earth being an ocean world, the only one in the Solar System sustaining liquid surface water." diff --git a/configs/generator/standard.yaml b/configs/generator/standard.yaml index b4202f07..5cdee491 100644 --- a/configs/generator/standard.yaml +++ b/configs/generator/standard.yaml @@ -1,6 +1,7 @@ generator_type: standard temperature: 1.2 top_k: 200 +max_new_tokens: 100 repetition_penalty: 1.2 repetition_window: 32 input_text: "Let's consider a simple Python program that adds two integers." diff --git a/generate.py b/generate.py index c658fccc..4fed2b01 100644 --- a/generate.py +++ b/generate.py @@ -6,10 +6,7 @@ import torch from models.build_models import build_model -from models.generator import ( - StandardGenerator, - BeamSearchGenerator -) +from models.generator import build_generator @hydra.main(config_path="configs", config_name="generate") @@ -29,14 +26,14 @@ def main(cfg): # put model into eval mode model.eval() - generator = BeamSearchGenerator( + generator = build_generator( model=model, generate_cfg=cfg["generator"], device=device ) # generate the text - for _ in range(5): + for _ in range(5): # generate 5 samples generated_text = generator.default_generate( input_text=cfg["generator"]["input_text"] ) diff --git a/models/generator.py b/models/generator.py index 109b665e..6e09b48c 100644 --- a/models/generator.py +++ b/models/generator.py @@ -77,7 +77,7 @@ def generate(self, input_text, max_new_tokens, temperature=1.0, top_k=None, beam # Return the sequence with the best score best_seq, _ = min(beam, key=lambda x: x[1]) - return self.model.embedding_model.decode(best_seq[0].tolist()) + return self.model.embedding_model.decode(best_seq.tolist()) def apply_repetition_penalty(self, logits, sequence, penalty, window): # Get the most recent tokens within the window @@ -91,8 +91,7 @@ def apply_repetition_penalty(self, logits, sequence, penalty, window): -def build_generator(model, generate_cfg): - return BeamSearchGenerator(model, generate_cfg) + class StandardGenerator(torch.nn.Module): """Standard Generator Wrapper for GPT models""" @@ -163,6 +162,13 @@ def embed(self, x): return self.model.embed(x) -def build_generator(model, generate_cfg): - """Build the generator""" - return StandardGenerator(model, generate_cfg) +GENERATOR_DICT = { + "standard": lambda model, generate_cfg, device: StandardGenerator(model=model, generate_cfg=generate_cfg, device=device), + "beam_search": lambda model, generate_cfg, device: BeamSearchGenerator(model=model, generate_cfg=generate_cfg, device=device), + } + +def build_generator(model, generate_cfg, device): + """ + Build the generator + """ + return GENERATOR_DICT[generate_cfg['generator_type']](model, generate_cfg, device) \ No newline at end of file From 04990414d66f3d1da358478eb3c1a17ced4d6c47 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Mon, 16 Sep 2024 11:24:05 +0800 Subject: [PATCH 180/209] minor fixes --- configs/train/baseline-10m.yaml | 2 +- trainers/evaluator.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index 5e7d952f..e8a90f93 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -40,7 +40,7 @@ model: trainer: trainer_type: base_trainer - dataset: pints + dataset: openwebtext batch_size: 24 gradient_accumulation_steps: 10 diff --git a/trainers/evaluator.py b/trainers/evaluator.py index 5c70679b..ddf84df8 100644 --- a/trainers/evaluator.py +++ b/trainers/evaluator.py @@ -54,5 +54,5 @@ def train_eval_text_generation(model): return evaluator.evaluate() except Exception as exc: print(f"The MCQ evaluator failed vai: {exc}") - return {} + return {}, "" From 67ce98df441e06c21811e6c83041f1c6c39d49a7 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Mon, 16 Sep 2024 12:01:30 +0800 Subject: [PATCH 181/209] . --- trainers/base_trainer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 5a531502..66fef83e 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -92,7 +92,7 @@ def __init__( train_token_count = f"{len(train_dataloader.dataset)/1e9:.2f}B" val_token_count = f"{len(val_dataloader.dataset)/1e9:.2f}B" - print(f"Training the model on {train_token_count} tokens.") + print(f"Training the model on {self.cfg.model.get('dataset', None)} with {train_token_count} tokens.") if self.use_wandb and (self.gpu_id == 0 or not self.dist): ## ensures that only the first GPU logs to wandb self._setup_logging( From 1a3585f3852e2ec062d2e5bcb05338d61f536ef4 Mon Sep 17 00:00:00 2001 From: bobbycxy Date: Mon, 16 Sep 2024 12:02:52 +0800 Subject: [PATCH 182/209] added entropy based temperature sampling revised the standardgenerator to work with single and batched logits --- configs/generator/entropy_temperature.yaml | 6 ++ models/generator.py | 119 ++++++++++++++++++++- 2 files changed, 120 insertions(+), 5 deletions(-) create mode 100644 configs/generator/entropy_temperature.yaml diff --git a/configs/generator/entropy_temperature.yaml b/configs/generator/entropy_temperature.yaml new file mode 100644 index 00000000..a606dd64 --- /dev/null +++ b/configs/generator/entropy_temperature.yaml @@ -0,0 +1,6 @@ +generator_type: entropy_temperature +temperature: 0.95 +temperature_scaling_factor: 0.1 +top_k: 200 +max_new_tokens: 100 +input_text: "Let's consider a simple Python program that adds two integers." diff --git a/models/generator.py b/models/generator.py index 6e09b48c..34c2c4e3 100644 --- a/models/generator.py +++ b/models/generator.py @@ -5,6 +5,112 @@ import torch import torch.nn.functional as F +## libraries for entropy calculation +import math + + +class EntropyTemperatureGenerator(torch.nn.Module): + ''' + From: https://arxiv.org/pdf/2403.14541 + Entropy based temepraure adjusts the temperature based on the entropy of the logits. + If logits highly uncertain, entropy is high, temperature is increased. + If logits are certain, entropy is low, temperature is decreased. + ''' + + def __init__(self, model, generate_cfg, device="cuda"): + super().__init__() + self.model = model + self.device = device + self.model = self.model.to(torch.device(self.device)) + self.generate_config = generate_cfg + + def default_generate(self, input_text): + ''' + Generate text using the default generation method + ''' + return self.generate( + input_text, + self.generate_config["max_new_tokens"], + self.generate_config["temperature"], + self.generate_config["top_k"], + self.generate_config.get("temperature_scaling_factor", 0.1) + ) + + @torch.no_grad() + def generate(self, input_text, max_new_tokens, temperature_ceiling, top_k, temperature_scaling_factor): + """ + Take a conditioning sequence of indices idx (LongTensor of shape (b,t)) and complete + the sequence max_new_tokens times, feeding the predictions back into the model each time. + Most likely you'll want to make sure to be in model.eval() mode of operation for this. + """ + idx = self.model.embedding_model.tokenize_input( + input_string=input_text, + add_eot=False, + truncate=True + ) + # push to device + idx = torch.tensor(idx).unsqueeze(0).to(torch.device(self.device)) + for _ in range(max_new_tokens): + # forward the model to get the logits for the index in the sequence + logits, _ = self.model.inference(idx) + # calculate the entropy of the logits + entropy = self.calculate_entropy(F.softmax(logits[-1], dim=-1)) + # calculate the temperatures + temperature = temperature_ceiling * (0.8 ** (temperature_scaling_factor / entropy)) # 0.8 is fixed based on the paper + # pluck the logits at the final step and scale by desired temperature + logits = logits / temperature + # logits might have shape (b,t,v) or (t,v) + # optionally crop the logits to only the top k options + if top_k is not None: + v, _ = torch.topk(logits, min(top_k, logits.size(-1))) + ## for batched logits + if len(logits.shape) == 3: + logits[logits < v[:, :, [-1]]] = -float("Inf") + ## for single logits + else: + logits[logits < v[:, [-1]]] = -float("Inf") + + # apply softmax to convert logits to (normalized) probabilities + probs = torch.nn.functional.softmax(logits, dim=-1) + + idx_next = torch.multinomial(probs, num_samples=1) + + # check if done + if idx_next == self.model.embedding_model.eot_token: + break + + idx = torch.cat((idx, idx_next), dim=1) + + return self.model.embedding_model.decode(idx.tolist()) + + def calculate_entropy(self, probabilities): + """ + Calculate the entropy of a probability distribution from softmaxed logits. + + :param probabilities: A PyTorch tensor of softmaxed logits + :return: The entropy value as a PyTorch tensor + """ + + # Ensure the input is a PyTorch tensor + if not isinstance(probabilities, torch.Tensor): + probabilities = torch.tensor(probabilities) + + # Ensure the tensor is float for numerical stability + probabilities = probabilities.float() + + return -torch.sum(probabilities * torch.log(probabilities), dim=-1) + + + def forward(self, x): + """Call the underlying model""" + return self.model(x) + + def embed(self, x): + """Embed the input""" + return self.model.embed(x) + + + class BeamSearchGenerator(torch.nn.Module): def __init__(self, model, generate_cfg, device="cuda"): super().__init__() @@ -90,9 +196,6 @@ def apply_repetition_penalty(self, logits, sequence, penalty, window): logits[0, unique_tokens] /= penalty ** counts.float() - - - class StandardGenerator(torch.nn.Module): """Standard Generator Wrapper for GPT models""" @@ -134,11 +237,16 @@ def generate(self, input_text, max_new_tokens, temperature=1.0, top_k=None): logits, _ = self.model.inference(idx) # pluck the logits at the final step and scale by desired temperature logits = logits / temperature - # logits have shape (b,t,v) + # logits might have shape (b,t,v) or (t,v) # optionally crop the logits to only the top k options if top_k is not None: v, _ = torch.topk(logits, min(top_k, logits.size(-1))) - logits[logits < v[:, [-1]]] = -float("Inf") # logits[logits < v[:, :, [-1]]] = -float("Inf") + ## for batched logits + if len(logits.shape) == 3: + logits[logits < v[:, :, [-1]]] = -float("Inf") + ## for single logits + else: + logits[logits < v[:, [-1]]] = -float("Inf") # apply softmax to convert logits to (normalized) probabilities probs = torch.nn.functional.softmax(logits, dim=-1) @@ -165,6 +273,7 @@ def embed(self, x): GENERATOR_DICT = { "standard": lambda model, generate_cfg, device: StandardGenerator(model=model, generate_cfg=generate_cfg, device=device), "beam_search": lambda model, generate_cfg, device: BeamSearchGenerator(model=model, generate_cfg=generate_cfg, device=device), + "entropy_temperature": lambda model, generate_cfg, device: EntropyTemperatureGenerator(model=model, generate_cfg=generate_cfg, device=device) } def build_generator(model, generate_cfg, device): From a27c4350ad6ef14226e04bb3a6a4e1acc5cd8ffc Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Mon, 16 Sep 2024 13:06:29 +0800 Subject: [PATCH 183/209] revert to rndm idx in dataset --- configs/train/b.yaml | 107 +++++++++++++++++++++++++++++++++++++++++++ trainers/datasets.py | 18 +++----- 2 files changed, 114 insertions(+), 11 deletions(-) create mode 100644 configs/train/b.yaml diff --git a/configs/train/b.yaml b/configs/train/b.yaml new file mode 100644 index 00000000..20a51327 --- /dev/null +++ b/configs/train/b.yaml @@ -0,0 +1,107 @@ +model: + core_model_type: generic + num_layers: 1 + + ffn: + ffn_type: generic + ffn_dim: 3072 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 12 + num_q_heads: 4 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 4000 + + hidden_dim: 768 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: openwebtext + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 100 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 500 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 6.0e-4 + min_lr: 6.0e-6 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.999 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 5000 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: base_group + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/trainers/datasets.py b/trainers/datasets.py index 6c0c97ac..811996bb 100644 --- a/trainers/datasets.py +++ b/trainers/datasets.py @@ -72,19 +72,15 @@ def __iter__(self): """ Get a batch of random data points in an infinite loop. """ - while True: # Get a random index - #idx = random.randint(0, self.dataset_len - 1) ## TODO: shouldn't be necessary if it is already - # shuffled at the document level in the load_data function - - for idx in range(self.dataset_len): + idx = random.randint(0, self.dataset_len - 1) + + # Extract a slice of data for x and y + x = torch.from_numpy((self.data[idx: idx + self.context_window]).astype(np.int64)) + y = torch.from_numpy((self.data[idx + 1: idx + 1 + self.context_window]).astype(np.int64)) - # Extract a slice of data for x and y - x = torch.from_numpy((self.data[idx: idx + self.context_window]).astype(np.int64)) - y = torch.from_numpy((self.data[idx + 1: idx + 1 + self.context_window]).astype(np.int64)) - - # Yield the data points - yield x, y + # Yield the data points + yield x, y class BytePoolingDataset(DatasetInterface): From c1638e66e385a8e7173619c9faa63afe3084ca6f Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Mon, 16 Sep 2024 13:40:18 +0800 Subject: [PATCH 184/209] fixes --- configs/train/b.yaml | 42 ++++++++++++++--------------- trainers/base_trainer.py | 58 +++++++++++++++++++++++----------------- trainers/datasets.py | 1 + 3 files changed, 56 insertions(+), 45 deletions(-) diff --git a/configs/train/b.yaml b/configs/train/b.yaml index 20a51327..159c04d9 100644 --- a/configs/train/b.yaml +++ b/configs/train/b.yaml @@ -51,31 +51,31 @@ trainer: eval_iters: 100 eval: - mcq_benchmarks: - - "winogrande" - - "hellaswag" - - "arc_easy" - - "blimp" - - "piqa" - - "race_middle" - - "race_high" - - "boolq" - - "openbook_qa_closed" - - "openbook_qa_open" - - "copa" - - "commonsense_qa" - mcq_num_samples: 500 - eval_byte_metrics: true - text_modeling_eval: true - text_generation_eval: true + #mcq_benchmarks: + # - "winogrande" + # - "hellaswag" + # - "arc_easy" + # - "blimp" + # - "piqa" + # - "race_middle" + # - "race_high" + # - "boolq" + # - "openbook_qa_closed" + # - "openbook_qa_open" + # - "copa" + # - "commonsense_qa" + #mcq_num_samples: 500 + eval_byte_metrics: false + text_modeling_eval: false + text_generation_eval: false optimizer: optimizer_name: adamW - lr: 6.0e-4 - min_lr: 6.0e-6 - weight_decay: 0.01 + lr: 6.0e-6 + min_lr: 6.0e-8 + weight_decay: 0.1 beta1: 0.9 - beta2: 0.999 + beta2: 0.95 grad_clip: 1.0 lr_scheduler: diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 66fef83e..b4944c54 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -166,28 +166,36 @@ def _setup_scaler(self, dtype=torch.float16): @torch.no_grad() def estimate_performance(self, iter_num, eval_iters=None): """Estimate the loss""" - # initialize eval results + # Initialize eval results eval_results = { "iter": iter_num, - "token_num": self.batch_size*self.gradient_accumulation_steps*iter_num*self.cfg.model["context_window"], + "token_num": ( + self.batch_size + * self.gradient_accumulation_steps + * iter_num + * self.cfg.model["context_window"] + ), } - - # make sure the model is in eval mode + # Make sure the model is in eval mode self.model.eval() - # initialize accumulators - total_loss = 0 + # Initialize accumulators + total_loss = 0.0 total_bytes = 0 - total_token_count = 0 # For regular loass and perplexity + total_token_count = 0 # For regular loss and perplexity # Initialize accumulators for byte-level metrics total_byte_loss = 0.0 - total_byte_log_probs = 0.0 # For perplexity calculation + + # Determine the device + device = self.gpu_id if self.gpu_id is not None else self.model.device for i, (x, y) in enumerate(self.val_dataloader): - x = x.to(self.gpu_id if self.gpu_id is not None else self.model.device) - y = y.to(self.gpu_id if self.gpu_id is not None else self.model.device) + # Move tensors to the appropriate device + x = x.to(device) + y = y.to(device) + with self.ctx: output, _ = self.model(x) loss = torch.nn.functional.cross_entropy( @@ -198,7 +206,7 @@ def estimate_performance(self, iter_num, eval_iters=None): # Accumulate token-level metrics total_loss += loss.item() - total_token_count += y.size(0) + total_token_count += y.numel() # Use numel() for total tokens if self.evaluate_byte_metrics: # Compute byte counts for current batch @@ -208,30 +216,32 @@ def estimate_performance(self, iter_num, eval_iters=None): total_bytes += batch_byte_count # Accumulate byte-level loss - total_byte_loss += loss/y.size(0) * batch_byte_count + avg_loss_per_token = loss.item() / y.numel() + total_byte_loss += avg_loss_per_token * batch_byte_count - if i >= eval_iters: + # Check if we've reached the evaluation iteration limit + if eval_iters is not None and i >= eval_iters: break - + # Calculate average metrics avg_loss = total_loss / total_token_count if total_token_count > 0 else float('inf') - avg_perplexity = np.exp(avg_loss) - - + avg_perplexity = np.exp(avg_loss) if avg_loss < 100 else float('inf') # Avoid overflow # Store in eval_results eval_results["Validation/Loss"] = aggregate_value(avg_loss, self.cfg.general.device) eval_results["Validation/Perplexity"] = aggregate_value(avg_perplexity, self.cfg.general.device) if self.evaluate_byte_metrics: + if total_bytes > 0: + avg_byte_loss = aggregate_value(total_byte_loss, self.cfg.general.device).item() / total_bytes + avg_byte_perplexity = np.exp(avg_byte_loss) if avg_byte_loss < 100 else float('inf') # Avoid overflow + else: + avg_byte_loss = float('inf') + avg_byte_perplexity = float('inf') + # Byte-normalized metrics - eval_results["Validation/Loss (Bytes)"] = aggregate_value(total_byte_loss, self.cfg.general.device).item() / total_bytes if total_bytes > 0 else float('inf') - eval_results["Validation/Perplexity (Bytes)"] = np.exp(eval_results["Validation/Loss (Bytes)"]) if eval_results["Validation/Loss (Bytes)"] < 100 else float('inf') # Avoid overflow - - # Store byte-level metrics - #eval_results["Validation/Loss (Bytes)"] = aggregate_value(byte_avg_loss, self.cfg.general.device).item() - #eval_results["Validation/Perplexity (Bytes)"] = aggregate_value(byte_avg_perplexity, self.cfg.general.device).item() - + eval_results["Validation/Loss (Bytes)"] = avg_byte_loss + eval_results["Validation/Perplexity (Bytes)"] = avg_byte_perplexity # get the mcq eval results eval_results.update( diff --git a/trainers/datasets.py b/trainers/datasets.py index 811996bb..3f76b587 100644 --- a/trainers/datasets.py +++ b/trainers/datasets.py @@ -72,6 +72,7 @@ def __iter__(self): """ Get a batch of random data points in an infinite loop. """ + while True: # Get a random index idx = random.randint(0, self.dataset_len - 1) From 8e68d5d6e77d078699f86bcbcdbcea447fc5fb27 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Mon, 16 Sep 2024 13:48:58 +0800 Subject: [PATCH 185/209] adjust hp --- configs/train/baseline-10m.yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index e8a90f93..29f46e10 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -4,7 +4,7 @@ model: ffn: ffn_type: generic - ffn_dim: 1408 + ffn_dim: 1536 activation: gelu normalization: rms_norm bias: false @@ -12,8 +12,8 @@ model: attn: attn_type: causal - num_kv_heads: 12 - num_q_heads: 4 + num_kv_heads: 8 + num_q_heads: 8 normalization: rms_norm bias: false dropout: false @@ -71,16 +71,16 @@ trainer: optimizer: optimizer_name: adamW - lr: 6.0e-4 - min_lr: 6.0e-6 + lr: 1.0e-3 + min_lr: 1.0e-5 weight_decay: 0.01 beta1: 0.9 - beta2: 0.999 + beta2: 0.98 grad_clip: 1.0 lr_scheduler: name: cosine - warmup_iters: 5000 + warmup_iters: 2500 dataloader: name: standard From b42c7377a310b00a93edde42ee7afbab584320d7 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Mon, 16 Sep 2024 13:50:15 +0800 Subject: [PATCH 186/209] hp --- check_size.py | 2 +- configs/train/baseline-10m.yaml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/check_size.py b/check_size.py index 13cdac4b..795cf0ca 100644 --- a/check_size.py +++ b/check_size.py @@ -5,7 +5,7 @@ from models.build_models import build_model from models.utils import print_model_stats -@hydra.main(config_path="configs/train", config_name="baseline") +@hydra.main(config_path="configs/train", config_name="baseline-10m") def main(cfg): if "full_configs" in cfg: cfg = cfg["full_configs"] diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index 29f46e10..86a8adaf 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -1,6 +1,6 @@ model: core_model_type: generic - num_layers: 6 + num_layers: 5 ffn: ffn_type: generic From d775812ebbf694ca898f846a3de01b8e7da73fb8 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Mon, 16 Sep 2024 13:59:12 +0800 Subject: [PATCH 187/209] hp --- configs/train/baseline-10m.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index 86a8adaf..cd6dabd5 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -48,7 +48,7 @@ trainer: eval_interval: 5000 log_interval: 10 checkpoint_interval: 10000 - eval_iters: 100 + eval_iters: 1000 eval: mcq_benchmarks: @@ -64,7 +64,7 @@ trainer: - "openbook_qa_open" - "copa" - "commonsense_qa" - mcq_num_samples: 500 + mcq_num_samples: 1000 eval_byte_metrics: true text_modeling_eval: true text_generation_eval: true From 2243502601c7947fedc0f53074f49233a87e1390 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Wed, 18 Sep 2024 11:32:06 +0800 Subject: [PATCH 188/209] added baseline configs --- check_size.py | 4 + configs/train/baseline-10m.yaml | 4 +- ...weight_tying_no-hidden_128-vocab_3900.yaml | 108 + ...weight_tying_no-hidden_256-vocab_1950.yaml | 108 + ...weight_tying_no-hidden_384-vocab_1300.yaml | 107 + ...-weight_tying_no-hidden_512-vocab_980.yaml | 108 + ...eight_tying_yes-hidden_128-vocab_7800.yaml | 108 + ...eight_tying_yes-hidden_256-vocab_3900.yaml | 108 + ...eight_tying_yes-hidden_384-vocab_2600.yaml | 108 + ...eight_tying_yes-hidden_512-vocab_1950.yaml | 108 + ...weight_tying_no-hidden_128-vocab_9900.yaml | 108 + ...weight_tying_no-hidden_256-vocab_5000.yaml | 108 + ...weight_tying_no-hidden_512-vocab_2600.yaml | 108 + ...ight_tying_yes-hidden_128-vocab_20000.yaml | 108 + ...eight_tying_yes-hidden_256-vocab_9900.yaml | 108 + ...eight_tying_yes-hidden_512-vocab_5000.yaml | 108 + ...weight_tying_no-hidden_128-vocab_7800.yaml | 108 + ...weight_tying_no-hidden_256-vocab_3900.yaml | 108 + ...weight_tying_no-hidden_384-vocab_2600.yaml | 108 + ...weight_tying_no-hidden_512-vocab_1950.yaml | 108 + ...eight_tying_yes-hidden_256-vocab_7800.yaml | 108 + ...eight_tying_yes-hidden_384-vocab_5000.yaml | 108 + ...eight_tying_yes-hidden_512-vocab_3900.yaml | 108 + ...ight_tying_yes_hidden_128-vocab_15625.yaml | 108 + ...eight_tying_no-hidden_128-vocab_12000.yaml | 108 + ...weight_tying_no-hidden_256-vocab_5900.yaml | 108 + ...weight_tying_no-hidden_384-vocab_3900.yaml | 108 + ...ight_tying_yes-hidden_256-vocab_12000.yaml | 108 + ...eight_tying_yes-hidden_384-vocab_7800.yaml | 108 + ...eight_tying_yes-hidden_512-vocab_5900.yaml | 108 + ...weight_tying_no-hidden_256-vocab_7800.yaml | 108 + ...weight_tying_no-hidden_384-vocab_5000.yaml | 108 + ...weight_tying_no-hidden_512-vocab_3900.yaml | 108 + ...eight_tying_no_hidden_128-vocab_15625.yaml | 108 + ...eight_tying_yes-hidden_512-vocab_7800.yaml | 108 + ...ight_tying_yes_hidden_256-vocab_15625.yaml | 108 + .../bpe_en_wiki_12000_simplified.model | 23994 +++++++++ .../bpe_en_wiki_1300_simplified.model | 2594 + .../bpe_en_wiki_15625_simplified.model | 31244 ++++++++++++ .../bpe_en_wiki_1950_simplified.model | 3894 ++ .../bpe_en_wiki_20000_simplified.model | 39994 ++++++++++++++++ .../bpe_en_wiki_2600_simplified.model | 5194 ++ .../bpe_en_wiki_3900_simplified.model | 7794 +++ .../bpe_en_wiki_5000_simplified.model | 9994 ++++ .../bpe_en_wiki_5900_simplified.model | 11794 +++++ .../bpe_en_wiki_7800_simplified.model | 15594 ++++++ .../bpe_en_wiki_980_simplified.model | 1954 + .../bpe_en_wiki_9900_simplified.model | 19794 ++++++++ train.py | 4 +- trainers/base_trainer.py | 2 +- trainers/data_utils.py | 3 +- 51 files changed, 177521 insertions(+), 5 deletions(-) create mode 100644 configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_128-vocab_3900.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_256-vocab_1950.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_384-vocab_1300.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_512-vocab_980.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_128-vocab_7800.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_256-vocab_3900.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_384-vocab_2600.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_512-vocab_1950.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_no-hidden_128-vocab_9900.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_no-hidden_256-vocab_5000.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_no-hidden_512-vocab_2600.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_yes-hidden_128-vocab_20000.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_yes-hidden_256-vocab_9900.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_yes-hidden_512-vocab_5000.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_128-vocab_7800.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_256-vocab_3900.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_384-vocab_2600.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_512-vocab_1950.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes-hidden_256-vocab_7800.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes-hidden_384-vocab_5000.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes-hidden_512-vocab_3900.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes_hidden_128-vocab_15625.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_no-hidden_128-vocab_12000.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_no-hidden_256-vocab_5900.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_no-hidden_384-vocab_3900.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_yes-hidden_256-vocab_12000.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_yes-hidden_384-vocab_7800.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_yes-hidden_512-vocab_5900.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no-hidden_256-vocab_7800.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no-hidden_384-vocab_5000.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no-hidden_512-vocab_3900.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no_hidden_128-vocab_15625.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_yes-hidden_512-vocab_7800.yaml create mode 100644 configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_yes_hidden_256-vocab_15625.yaml create mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_12000_simplified.model create mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_1300_simplified.model create mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_15625_simplified.model create mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_1950_simplified.model create mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_20000_simplified.model create mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_2600_simplified.model create mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_3900_simplified.model create mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_5000_simplified.model create mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_5900_simplified.model create mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_7800_simplified.model create mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_980_simplified.model create mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_9900_simplified.model diff --git a/check_size.py b/check_size.py index 795cf0ca..a553944a 100644 --- a/check_size.py +++ b/check_size.py @@ -7,8 +7,12 @@ @hydra.main(config_path="configs/train", config_name="baseline-10m") def main(cfg): + if len(cfg) == 1: + cfg = cfg[list(cfg.keys())[0]] if "full_configs" in cfg: cfg = cfg["full_configs"] + + model, _ = build_model(model_cfg=cfg["model"]) # print full parameter count diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index cd6dabd5..2355d8c4 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -71,8 +71,8 @@ trainer: optimizer: optimizer_name: adamW - lr: 1.0e-3 - min_lr: 1.0e-5 + lr: 5.0e-4 + min_lr: 5.0e-5 weight_decay: 0.01 beta1: 0.9 beta2: 0.98 diff --git a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_128-vocab_3900.yaml b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_128-vocab_3900.yaml new file mode 100644 index 00000000..b69b1596 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_128-vocab_3900.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 48 + + ffn: + ffn_type: generic + ffn_dim: 515 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 3900 + + hidden_dim: 128 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 1M, Weight-Tying: No, Hidden: 128, Vocab-Size: 3900" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_256-vocab_1950.yaml b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_256-vocab_1950.yaml new file mode 100644 index 00000000..dd20e5b5 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_256-vocab_1950.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 12 + + ffn: + ffn_type: generic + ffn_dim: 1032 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 1950 + + hidden_dim: 256 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 1M, Weight-Tying: No, Hidden: 256, Vocab-Size: 1950" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_384-vocab_1300.yaml b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_384-vocab_1300.yaml new file mode 100644 index 00000000..9df04301 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_384-vocab_1300.yaml @@ -0,0 +1,107 @@ +model: + core_model_type: generic + num_layers: 5 + + ffn: + ffn_type: generic + ffn_dim: 1702 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 1300 + + hidden_dim: 384 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_512-vocab_980.yaml b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_512-vocab_980.yaml new file mode 100644 index 00000000..66ae6458 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_512-vocab_980.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 3 + + ffn: + ffn_type: generic + ffn_dim: 2064 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 980 + + hidden_dim: 512 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 1M, Weight-Tying: No, Hidden: 512, Vocab-Size: 980" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_128-vocab_7800.yaml b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_128-vocab_7800.yaml new file mode 100644 index 00000000..83be7c21 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_128-vocab_7800.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 48 + + ffn: + ffn_type: generic + ffn_dim: 515 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 7800 + + hidden_dim: 128 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: yes + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 1M, Weight-Tying: Yes, Hidden: 128, Vocab-Size: 7800" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_256-vocab_3900.yaml b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_256-vocab_3900.yaml new file mode 100644 index 00000000..cfda4cb6 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_256-vocab_3900.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 12 + + ffn: + ffn_type: generic + ffn_dim: 1032 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 3900 + + hidden_dim: 256 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: yes + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 1M, Weight-Tying: Yes, Hidden: 256, Vocab-Size: 3900" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_384-vocab_2600.yaml b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_384-vocab_2600.yaml new file mode 100644 index 00000000..d82615ae --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_384-vocab_2600.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 5 + + ffn: + ffn_type: generic + ffn_dim: 1702 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 2600 + + hidden_dim: 384 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 1M, Weight-Tying: Yes, Hidden: 384, Vocab-Size: 2600" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_512-vocab_1950.yaml b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_512-vocab_1950.yaml new file mode 100644 index 00000000..6c1d57e9 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_512-vocab_1950.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 3 + + ffn: + ffn_type: generic + ffn_dim: 2064 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 1950 + + hidden_dim: 512 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 1M, Weight-Tying: Yes, Hidden: 512, Vocab-Size: 1950" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_no-hidden_128-vocab_9900.yaml b/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_no-hidden_128-vocab_9900.yaml new file mode 100644 index 00000000..d7e6a15c --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_no-hidden_128-vocab_9900.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 40 + + ffn: + ffn_type: generic + ffn_dim: 520 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 9900 + + hidden_dim: 128 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 2.55M, Weight-Tying: No, Hidden: 128, Vocab-Size: 9900" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_no-hidden_256-vocab_5000.yaml b/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_no-hidden_256-vocab_5000.yaml new file mode 100644 index 00000000..5fcd69c1 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_no-hidden_256-vocab_5000.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 10 + + ffn: + ffn_type: generic + ffn_dim: 1036 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 5000 + + hidden_dim: 256 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 2.55M, Weight-Tying: No, Hidden: 256, Vocab-Size: 5000" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_no-hidden_512-vocab_2600.yaml b/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_no-hidden_512-vocab_2600.yaml new file mode 100644 index 00000000..f9852c18 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_no-hidden_512-vocab_2600.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 3 + + ffn: + ffn_type: generic + ffn_dim: 1524 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 2600 + + hidden_dim: 512 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 2.55M, Weight-Tying: No, Hidden: 512, Vocab-Size: 2600" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_yes-hidden_128-vocab_20000.yaml b/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_yes-hidden_128-vocab_20000.yaml new file mode 100644 index 00000000..baa43d40 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_yes-hidden_128-vocab_20000.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 24 + + ffn: + ffn_type: generic + ffn_dim: 512 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 20000 + + hidden_dim: 128 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 2.55M, Weight-Tying: Yes, Hidden: 128, Vocab-Size: 20000" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_yes-hidden_256-vocab_9900.yaml b/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_yes-hidden_256-vocab_9900.yaml new file mode 100644 index 00000000..b17d8fd5 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_yes-hidden_256-vocab_9900.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 10 + + ffn: + ffn_type: generic + ffn_dim: 1040 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 9900 + + hidden_dim: 256 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 2.55M, Weight-Tying: Yes, Hidden: 256, Vocab-Size: 9900" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_yes-hidden_512-vocab_5000.yaml b/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_yes-hidden_512-vocab_5000.yaml new file mode 100644 index 00000000..78629314 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_2_55_m-weight_tying_yes-hidden_512-vocab_5000.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 3 + + ffn: + ffn_type: generic + ffn_dim: 1556 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 5000 + + hidden_dim: 512 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 2.55M, Weight-Tying: Yes, Hidden: 512, Vocab-Size: 5000" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_128-vocab_7800.yaml b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_128-vocab_7800.yaml new file mode 100644 index 00000000..b2eb3e23 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_128-vocab_7800.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 43 + + ffn: + ffn_type: generic + ffn_dim: 514 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 7800 + + hidden_dim: 128 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 2M, Weight-Tying: No, Hidden: 128, Vocab-Size: 7800" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_256-vocab_3900.yaml b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_256-vocab_3900.yaml new file mode 100644 index 00000000..defbd7f8 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_256-vocab_3900.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 10 + + ffn: + ffn_type: generic + ffn_dim: 1146 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 3900 + + hidden_dim: 256 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 2M, Weight-Tying: No, Hidden: 256, Vocab-Size: 3900" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_384-vocab_2600.yaml b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_384-vocab_2600.yaml new file mode 100644 index 00000000..3b7b8aec --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_384-vocab_2600.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 5 + + ffn: + ffn_type: generic + ffn_dim: 1442 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 2600 + + hidden_dim: 384 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 2M, Weight-Tying: No, Hidden: 384, Vocab-Size: 2600" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_512-vocab_1950.yaml b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_512-vocab_1950.yaml new file mode 100644 index 00000000..d29418c4 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_512-vocab_1950.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 3 + + ffn: + ffn_type: generic + ffn_dim: 1740 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 1950 + + hidden_dim: 512 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 2M, Weight-Tying: No, Hidden: 512, Vocab-Size: 1950" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes-hidden_256-vocab_7800.yaml b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes-hidden_256-vocab_7800.yaml new file mode 100644 index 00000000..c7820916 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes-hidden_256-vocab_7800.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 11 + + ffn: + ffn_type: generic + ffn_dim: 994 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 7800 + + hidden_dim: 256 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: yes + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 2M, Weight-Tying: Yes, Hidden: 256, Vocab-Size: 7800" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes-hidden_384-vocab_5000.yaml b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes-hidden_384-vocab_5000.yaml new file mode 100644 index 00000000..85b080c7 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes-hidden_384-vocab_5000.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 5 + + ffn: + ffn_type: generic + ffn_dim: 1462 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 5000 + + hidden_dim: 384 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 2M, Weight-Tying: Yes, Hidden: 384, Vocab-Size: 5000" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes-hidden_512-vocab_3900.yaml b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes-hidden_512-vocab_3900.yaml new file mode 100644 index 00000000..0953be7d --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes-hidden_512-vocab_3900.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 3 + + ffn: + ffn_type: generic + ffn_dim: 1740 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 3900 + + hidden_dim: 512 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: yes + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 2M, Weight-Tying: Yes, Hidden: 512, Vocab-Size: 3900" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes_hidden_128-vocab_15625.yaml b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes_hidden_128-vocab_15625.yaml new file mode 100644 index 00000000..43cc0b75 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_yes_hidden_128-vocab_15625.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 43 + + ffn: + ffn_type: generic + ffn_dim: 514 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 15625 + + hidden_dim: 128 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 2M, Weight-Tying: Yes, Hidden: 128, Vocab-Size: 15625" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_no-hidden_128-vocab_12000.yaml b/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_no-hidden_128-vocab_12000.yaml new file mode 100644 index 00000000..92d04af0 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_no-hidden_128-vocab_12000.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 38 + + ffn: + ffn_type: generic + ffn_dim: 506 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 12000 + + hidden_dim: 128 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 3M, Weight-Tying: No, Hidden: 128, Vocab-Size: 12000" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_no-hidden_256-vocab_5900.yaml b/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_no-hidden_256-vocab_5900.yaml new file mode 100644 index 00000000..5134d904 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_no-hidden_256-vocab_5900.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 10 + + ffn: + ffn_type: generic + ffn_dim: 945 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 5900 + + hidden_dim: 256 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 3M, Weight-Tying: No, Hidden: 256, Vocab-Size: 5900" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_no-hidden_384-vocab_3900.yaml b/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_no-hidden_384-vocab_3900.yaml new file mode 100644 index 00000000..75c81758 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_no-hidden_384-vocab_3900.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 4 + + ffn: + ffn_type: generic + ffn_dim: 1670 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 3900 + + hidden_dim: 384 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 3M, Weight-Tying: No, Hidden: 384, Vocab-Size: 3900" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_yes-hidden_256-vocab_12000.yaml b/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_yes-hidden_256-vocab_12000.yaml new file mode 100644 index 00000000..72b87496 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_yes-hidden_256-vocab_12000.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 10 + + ffn: + ffn_type: generic + ffn_dim: 936 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 12000 + + hidden_dim: 256 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 3M, Weight-Tying: Yes, Hidden: 256, Vocab-Size: 12000" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_yes-hidden_384-vocab_7800.yaml b/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_yes-hidden_384-vocab_7800.yaml new file mode 100644 index 00000000..f4e0de04 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_yes-hidden_384-vocab_7800.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 4 + + ffn: + ffn_type: generic + ffn_dim: 1670 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 7800 + + hidden_dim: 384 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: yes + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 3M, Weight-Tying: Yes, Hidden: 384, Vocab-Size: 7800" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_yes-hidden_512-vocab_5900.yaml b/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_yes-hidden_512-vocab_5900.yaml new file mode 100644 index 00000000..b75300b4 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_3m-weight_tying_yes-hidden_512-vocab_5900.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 2 + + ffn: + ffn_type: generic + ffn_dim: 2620 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 5900 + + hidden_dim: 512 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 3M, Weight-Tying: Yes, Hidden: 512, Vocab-Size: 5900" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no-hidden_256-vocab_7800.yaml b/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no-hidden_256-vocab_7800.yaml new file mode 100644 index 00000000..d50b8e03 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no-hidden_256-vocab_7800.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 8 + + ffn: + ffn_type: generic + ffn_dim: 1070 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 7800 + + hidden_dim: 256 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 4M, Weight-Tying: No, Hidden: 256, Vocab-Size: 7800" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no-hidden_384-vocab_5000.yaml b/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no-hidden_384-vocab_5000.yaml new file mode 100644 index 00000000..40944125 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no-hidden_384-vocab_5000.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 4 + + ffn: + ffn_type: generic + ffn_dim: 1394 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 5000 + + hidden_dim: 384 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 4M, Weight-Tying: No, Hidden: 384, Vocab-Size: 5000" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no-hidden_512-vocab_3900.yaml b/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no-hidden_512-vocab_3900.yaml new file mode 100644 index 00000000..aeecd697 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no-hidden_512-vocab_3900.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 2 + + ffn: + ffn_type: generic + ffn_dim: 2148 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 3900 + + hidden_dim: 512 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 4M, Weight-Tying: No, Hidden: 512, Vocab-Size: 3900" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no_hidden_128-vocab_15625.yaml b/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no_hidden_128-vocab_15625.yaml new file mode 100644 index 00000000..d97b6dda --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_no_hidden_128-vocab_15625.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 33 + + ffn: + ffn_type: generic + ffn_dim: 510 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 15625 + + hidden_dim: 128 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 4M, Weight-Tying: No, Hidden: 128, Vocab-Size: 15625" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_yes-hidden_512-vocab_7800.yaml b/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_yes-hidden_512-vocab_7800.yaml new file mode 100644 index 00000000..54780212 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_yes-hidden_512-vocab_7800.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 2 + + ffn: + ffn_type: generic + ffn_dim: 2148 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 7800 + + hidden_dim: 512 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: yes + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 4M, Weight-Tying: Yes, Hidden: 512, Vocab-Size: 7800" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_yes_hidden_256-vocab_15625.yaml b/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_yes_hidden_256-vocab_15625.yaml new file mode 100644 index 00000000..7fab3d95 --- /dev/null +++ b/configs/train/baseline-vocab-size/10m-nv_4m-weight_tying_yes_hidden_256-vocab_15625.yaml @@ -0,0 +1,108 @@ +model: + core_model_type: generic + num_layers: 8 + + ffn: + ffn_type: generic + ffn_dim: 1072 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 8 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: en_wiki + tokenizer_simplify_data: true + vocab_size: 15625 + + hidden_dim: 256 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: fineweb_edu_100B + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 2500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: baseline-vocab + run_name: "NonVocab: 4M, Weight-Tying: Yes, Hidden: 256, Vocab-Size: 15625" + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/models/components/layers/tokenizer_models/bpe_en_wiki_12000_simplified.model b/models/components/layers/tokenizer_models/bpe_en_wiki_12000_simplified.model new file mode 100644 index 00000000..d60a2ec7 --- /dev/null +++ b/models/components/layers/tokenizer_models/bpe_en_wiki_12000_simplified.model @@ -0,0 +1,23994 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 0, + "content": "[PAD]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 1, + "content": "[EOT]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 2, + "content": "[UNK]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + } + ], + "normalizer": { + "type": "Sequence", + "normalizers": [ + { + "type": "NFD" + }, + { + "type": "StripAccents" + }, + { + "type": "Replace", + "pattern": { + "String": "[^a-zA-Z0-9\\s!\"\\#\\$%\\&'\\(\\)\\*\\+,\\-\\./:;<=>\\?@\\[\\\\\\]\\^_`\\{\\|\\}\\~]" + }, + "content": "" + } + ] + }, + "pre_tokenizer": { + "type": "Sequence", + "pretokenizers": [ + { 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wn", + "f ess", + "Ġn o", + "Ġre p", + "ĠJan uary", + "ic a", + "Ġor ig", + "er y", + "Ġm ain", + "m ber", + "Ġm od", + "Ġh igh", + "ĠAs s", + "ĠJu ly", + "en g", + "ĠAl l", + "Ġbir ths", + "emb ers", + "ĠC ar", + "1 0", + "l ish", + "ist or", + "Ġch ar", + "Ġb oth", + "ĠN orth", + "Ġplay ed", + "olle ge", + "Ġm on", + "Ġman y", + "Ġnum ber", + "ot t", + "et s", + "ĠC o", + "ĠLe ague", + "Ġex p", + "om an", + "Ġn ame", + "ut h", + "ampion ship", + "ĠA pril", + "cent ury", + "ward s", + "Ġb ack", + "Ġ19 2", + "ant s", + "v ed", + "i ent", + "ĠCan ad", + "ĠE uro", + "it t", + "ĠSe e", + "Ġrele ased", + "ce mber", + "Ġe m", + "st ru", + "ĠG u", + "ain ed", + "ĠB o", + "en e", + "i or", + "p le", + "Ġg u", + "g ram", + "1 7", + "ĠE d", + "is c", + "Ġfor mer", + "ĠC ol", + "ĠNov ember", + "it al", + "Ġse ver", + "iss ion", + "ĠA m", + "ĠEng lish", + "Ġan n", + "Ġw on", + "i um", + "in es", + "e c", + "he s", + "port s", + "Ġdes ign", + "p or", + "ic ip", + "ce pt", + "ĠRe g", + "ĠW ill", + "ĠDe cember", + "Ġm at", + "ĠC ity", + "Ġ1 4", + "ra ct", + "ĠF l", + "aj or", + "Ġdes c", + "y l", + "ros s", + "Ġ1 3", + "Ġl ife", + "Ġare a", + "im es", + "ir d", + "Ġst art", + "ĠC al", + "ĠA f", + "Ġor gan", + "r is", + "duc ed", + "Ġop en", + "Ġf eat", + "are d", + "ĠSt ate", + "re t", + "f l", + "Ġg ame", + "ag es", + "Ġd if", + "v ent", + "res ident", + "Ġr un", + "k et", + "u es", + "Ġfilm s", + "l ed", + "ro p", + "Ġpro du", + "p art", + "Ġ1 1", + "ar m", + "et y", + "Ġm en", + "Ġ201 0", + "Ġcl ass", + "ograph y", + "Ġ2 1", + "y le", + "Ġex t", + "ap an", + "il t", + "eb ru", + "Ġs m", + "lev ision", + "ebru ary", + "Ġpubl ic", + "un g", + "ĠK ing", + "ĠI I", + "Ġst ate", + "Ġsy stem", + "ĠP ar", + "Ġl ong", + "Ġo b", + "ual ly", + "Ġd r", + "ar ch", + "ĠB ro", + "f ul", + "Ġf inal", + "Ġc areer", + "il it", + "n er", + "ĠH is", + "Ġs ame", + "ul ar", + "an c", + "a use", + "Ġcall ed", + "am b", + "vi ew", + "Ġfollow ing", + "ĠF ebruary", + "in c", + "z e", + "ov e", + "y n", + "Ġret urn", + "Ġf in", + "on y", + "Ġc ity", + "Ġw ill", + "iv ision", + "ĠEuro pe", + "ĠS w", + "a f", + "h ip", + "Ġch ild", + "r at", + "al es", + "ak ing", + "Ġsever al", + "Ġcomm un", + "ren ch", + "il ity", + "Ġw omen", + "re nt", + "oin t", + "ĠM ed", + "or ks", + "ĠJ apan", + "s p", + "an ge", + "ch n", + "ial ly", + "c om", + "c on", + "ure d", + "Ġl ist", + "Ġs uc", + "ĠGe or", + "p ed", + "Ġe arly", + "Ġa ir", + "ĠB ar", + "Ġcont in", + "Ġ '", + "Ġto wn", + "Ġcomp et", + "Ġcl ub", + "ĠE l", + "Ġm in", + "Ġres ult", + "h am", + "ib le", + "1 2", + "ĠA nd", + "ĠH ar", + "ĠH istory", + "is ed", + "al ly", + "Ġs ince", + "ic es", + "ain s", + "st er", + "19 9", + "ĠThe y", + "ĠP art", + "b o", + "r ing", + "Ġn ear", + "ang u", + "Ġn amed", + "Ġorig inal", + "end ed", + "u ed", + "ĠCh rist", + "at a", + "Ġhe ad", + "ĠA b", + "1 6", + "Ġb el", + "Ġdis c", + "Ġpl ace", + "ĠF rench", + "id ed", + "i ence", + "Ġ201 1", + "ĠRe p", + "Ġc ur", + "Ġbe gan", + "il le", + "Ġt it", + "Ġus e", + "iv al", + "an e", + "re en", + "Ġpro gram", + "ĠU S", + "Ġv ill", + "Ġm ember", + "Ġm embers", + "1 5", + "Ġp rom", + "Ġhe ld", + "Ġan y", + "Ġl and", + "ĠCom p", + "Ġb ased", + "ain t", + "ĠR es", + "ĠM c", + "Ġthe se", + "Ġcomp le", + "b le", + "Ġap p", + "m e", + "Ġsup port", + "oun c", + "ĠAf ric", + "al ity", + "Ġg overnment", + "r ight", + "Ġ200 8", + "ĠR uss", + "Ġm et", + "Ġ201 2", + "Ġw e", + "ĠR o", + "a ugh", + "Ġ19 0", + "ĠA ir", + "Ġestabl ished", + "i ous", + "Ġal ong", + "Ġe ff", + "t he", + "Ġ ,", + "ĠE ast", + "ĠCh ampionship", + "Ġdesc rib", + "T he", + "in ess", + "Ġen g", + "ition s", + "ĠC ollege", + "Ġp ass", + "ĠWill iam", + "ĠG en", + "an a", + "od e", + ". .", + "Ġd ist", + "pe ct", + "al th", + "ad em", + "Ġ200 9", + "Ġloc ated", + "ur g", + "u k", + "ĠThe re", + "at or", + "ical ly", + "ĠH er", + "or m", + "ac ed", + "Ġd id", + "Ġl aw", + "in o", + "Ġc ol", + "Ġo cc", + "Ġchar act", + "che s", + "f ord", + "ĠAr t", + "c ol", + "at s", + "i en", + "ubl ic", + "ĠP eople", + "Ġp os", + "Ġy ou", + "Ġ201 3", + "ond on", + "ĠN e", + "oci ation", + "ĠIt al", + "Ġ200 6", + "Ġ200 7", + "Ġh ouse", + "Ġe ach", + "t o", + "ĠH igh", + "ing ton", + "ore d", + "Ġ201 4", + "ro w", + "Ġ201 6", + "Ġserv ed", + "our t", + "ĠF ilm", + "Ġto ok", + "qu e", + "Ġs im", + "k y", + "Ġ X", + "1 4", + "ĠRe c", + "Ġb and", + "Ġt r", + "Ġst ation", + "Ġh ome", + "ĠD istrict", + "Ġb us", + "av ing", + "ĠS y", + "ĠIn ternational", + "Ġb orn", + "Ġg ames", + "Ġn ational", + "m ed", + "ly mp", + "i et", + "ĠA c", + "Ġin st", + "Ġ201 5", + "re w", + "er g", + "Ġpro fess", + "in ed", + "Ġ201 8", + "ight s", + "p s", + "Ġcomp any", + "Ġl ine", + "Ġp erson", + "1 3", + "ĠO lymp", + "Ġpopul ation", + "Ġm ajor", + "Ġ18 9", + "ac es", + "our n", + "Ġ20 20", + "ĠD av", + "ill ion", + "ĠL iving", + "ĠL ondon", + "Ġ201 7", + "ĠSe c", + "Ġs l", + "Ġb as", + "Ġj oin", + "Ġsm all", + "Ġle g", + "Ġloc al", + "ĠInd ian", + "ĠL a", + "ard s", + "Ġv ari", + "Ġrece ived", + "Ġde b", + "Ġev ent", + "Ġ2 5", + "Ġgen eral", + "Ġman ag", + "Ġpubl ished", + "Ġte levision", + "ĠC up", + "et t", + "Ġcent ury", + "ĠN ot", + "ilit ary", + "s ide", + "et er", + "Ġ3 0", + "at ure", + "Ġ201 9", + "Ġsing le", + "Ġbu ilt", + "ĠS up", + "Ġv i", + "ĠPh il", + "a ul", + "Ġd ue", + "Ġc ould", + "Ġv ers", + "ĠH owever", + "Ġ $", + "Ġap pro", + "ar ge", + "Ġw orld", + "Ġspec ies", + "ar a", + "Ġc olle", + "um n", + "Ġsuc cess", + "ie f", + "ounc il", + "Ġp o", + "v ers", + "Ġst r", + "in t", + "Ġa round", + "ord ing", + "if ied", + "ĠA ng", + "uth or", + "id es", + "at ely", + "om in", + "ĠG l", + "Ġo ld", + "Ġed uc", + "ĠT r", + "arri ed", + "ĠL ist", + "ĠN o", + "Ġt erm", + "is on", + "ro l", + "ĠC or", + "um mer", + "Ġa ge", + "ff ic", + "l ing", + "ĠT ra", + "ĠH ouse", + "Ġhe l", + "Ġal ign", + "Ġe p", + "ord s", + "e f", + "oc ial", + "ĠP ark", + "r ation", + "Ġp resent", + "ĠP re", + "Ġle ft", + "Ġl ast", + "Ġs ix", + "ĠE n", + "Ġh istory", + "Ġn ow", + "i od", + "a im", + "Ġs aid", + "ĠS an", + "Ġt y", + "Ġ200 0", + "Ġrep resent", + "re et", + "a us", + "id d", + "ra ft", + "t t", + "Ġd ied", + "Ġplay er", + "op h", + "Ġ 0", + "Ġre st", + "1 1", + "Ġc amp", + "iz ation", + "ĠD uring", + "Ġc ar", + "Ġl a", + "um b", + "angu age", + "Ġto p", + "ne y", + "Ġp ar", + "ĠB r", + "on es", + "Ġvill age", + "Ġwith in", + "ĠM ich", + "Ġd et", + "iv en", + "Ġst yle", + "Ġf ive", + "Ġ200 5", + "Ġt ri", + "Ġn orth", + "Ġsh ort", + "Ġ2 4", + "v an", + "ĠR oy", + "Ġor der", + "ide o", + "Ġ18 8", + "Ġd ay", + "in k", + "ĠD es", + "o ks", + "et her", + "u f", + "Ġdescrib ed", + "ak es", + "s c", + "ow s", + "ur ther", + "19 8", + "ent ly", + "Ġth ird", + "Ġbuild ing", + "al k", + "Ġinclud e", + "ĠR iver", + "Ġinclud ed", + "Ġp ost", + "um ent", + "Ġd own", + "ast er", + "if orn", + "ĠP er", + "Ġdif fer", + "d ay", + "he m", + "ĠA g", + "Ġchild ren", + "Ġre port", + "ur s", + "ĠEng land", + "c o", + "ĠCh ar", + "Ġ202 1", + "att le", + "Ġre f", + "vi ous", + "Ġre qu", + "ĠS ch", + "ĠA ct", + "n a", + "er a", + "feren ce", + "Ġbec ause", + "ke y", + "t ain", + "iforn ia", + "Ġad m", + "ĠB y", + "th ough", + "Ġann oun", + "Ġl arge", + "Ġcons id", + "iv ely", + "re g", + "ĠG ro", + "ĠM al", + "Ġs outh", + "g round", + "Ġs on", + "ĠAustral ia", + "Ġ200 4", + "ic o", + "Ġd em", + "rid ge", + "ri end", + "Ġd istrict", + "ĠCal ifornia", + "l er", + "col or", + "Ġst and", + "ĠP ort", + "ĠB ra", + "Ġm ark", + "ĠM on", + "os p", + ". ,", + "use um", + "ct ure", + "Ġar ch", + "Ġp ower", + "inn ing", + "Ġst at", + "Ġbo ok", + "uc k", + "od y", + "ĠY ou", + "ĠPart y", + "en cy", + "Ġl o", + "Ġdeath s", + "ri pt", + "Ġ202 2", + "Ġc rit", + "ad io", + "it er", + "part ment", + "land s", + "in ing", + "Ġw ar", + "con om", + "um an", + "Ġappe ar", + "Ġc or", + "ĠD em", + "Ġm ale", + "Ġl arg", + "k a", + "Ġis s", + "ĠR oman", + "re st", + "Ġ18 6", + "Ġj ust", + "ist er", + "Ġ2 2", + "Ġre pl", + "ĠB el", + "c er", + "al d", + "al f", + "Ġw ater", + "Ġserv ice", + "g ed", + "Ġper iod", + "Ġn on", + "Ġper form", + "Ġadd ition", + "n ess", + "Ġres p", + "v es", + "Ġk ill", + "am ent", + "oci ety", + "ĠA nt", + "Ġde p", + "ee k", + "Ġv is", + "he l", + "our s", + "e le", + "Ġre fer", + "ĠS m", + "a ff", + "er ing", + "ĠO ne", + "Ġmov ed", + "ĠA ward", + "en se", + "Ġc r", + "ĠE m", + "Ġdiffer ent", + "iz e", + "Ġcur rent", + "ĠAustral ian", + "Ġro und", + "Ġl ike", + "ot e", + "rib ut", + "5 0", + "ĠAr my", + "Ġ2 3", + "Ġinc re", + "om b", + "Ġm illion", + "Ġl ed", + "k i", + "l ine", + "ĠN or", + "p ar", + "Ġt rad", + "Ġbus iness", + "am a", + "ĠA cc", + "t al", + "av y", + "her n", + "ĠM inist", + "Ġan other", + "Ġth ose", + "o on", + "Ġh istor", + "ĠR ober", + "op s", + "o f", + "Ġsh ip", + "Ġ18 7", + "Ġe qu", + "Ġst ill", + "and er", + "Ġ if", + "Ġf ather", + "Ġ el", + "Ġf ield", + "Ġw est", + "ĠJ ames", + "Ġd el", + "ĠInd ia", + "Ġex per", + "Ġa uthor", + "i ber", + "ĠM or", + "ĠSt e", + "d e", + "ep end", + "Ġf ac", + "c hed", + "iv il", + "Ġact iv", + "Ġh and", + "Ġcomp os", + "ĠCh urch", + "ĠM usic", + "Ġbe st", + "ĠGen eral", + "ĠFran ce", + "Ġp ort", + "Ġk m", + "o x", + "Ġannoun ced", + "Ġin ternational", + "Ġdeb ut", + "stru ction", + "Ġtit le", + "Ġcount ry", + "d om", + "ĠQ u", + "Ġs old", + "Ġf em", + "ĠTh om", + "Ġw in", + "as es", + "Ġ200 3", + "v ille", + "Ġ( )", + "Ġestabl ish", + "ĠY ear", + "19 7", + "u el", + "Ġcharact er", + "Ġe ast", + "Ġpolit ic", + "ĠGeor ge", + "ĠD ivision", + "f ield", + "un icip", + "us h", + "Ġs ide", + "c ast", + "Ġp at", + "Ġd ra", + "b e", + "ĠRoy al", + "Ġc ult", + "ourn al", + "ĠA p", + "an ish", + "re ad", + "Ġn ov", + "Ġa v", + "g color", + "Ġpre vious", + "ĠM ount", + "g in", + "Ġm ake", + "ĠEurope an", + "Ġ very", + "ri es", + "a el", + "ĠQ ue", + "ĠP e", + "ort hern", + "Ġa ward", + "ĠCl ub", + "ĠCanad ian", + "Ġset t", + "ug g", + "ĠAc adem", + "Ġele ction", + "Ġpro ject", + "ip p", + "l in", + "le x", + "ĠP al", + "Ġam ong", + "m s", + "ap p", + "ab or", + "Ġw orks", + "ĠV al", + "ĠG r", + "Ġ2 6", + "ĠCanad a", + "Ġ200 2", + "ĠE le", + "i us", + "ĠR ich", + "Ġf r", + "al ign", + "Ġro le", + "g es", + "Ġpro duced", + "ĠW hen", + "w ork", + "ĠP aul", + "Ġf e", + "Ġm ag", + "pl oy", + "for man", + "Ġle vel", + "ĠB u", + "o ff", + "Ġof ten", + "ol ution", + "Ġa ff", + "Ġl ate", + "Ġs pe", + "Ġre ad", + "Ġw eb", + "a pe", + "ĠDav id", + "ĠC ouncil", + "Ġth ough", + "Ġinv ol", + "Ġre se", + "Ġb gcolor", + "ĠF ootball", + "Ġp e", + "Ġ199 0", + "it ar", + "st on", + "at ch", + "Ġwrit ten", + "Ġex pl", + "Ġ2 8", + "Ġ2 7", + "or ies", + "im ent", + "ĠL ou", + "Ġeng ine", + "Ġf ore", + "ĠH ol", + "Ġep is", + "ĠAss ociation", + "Ġ es", + "stit ute", + "Ġad v", + "b ack", + "Ġte chn", + "ac ks", + "Ġ200 1", + "ĠW ith", + "b an", + "ĠR ed", + "Ġstart ed", + "Ġev en", + "ĠD r", + "umn i", + "Ġyou ng", + "Ġp oss", + "Ġall ow", + "o le", + "em pt", + "Ġcl os", + "iv id", + "o e", + "ro te", + "Ġm arried", + "it or", + "Ġg rad", + "ĠR ail", + "v al", + "Ġc ame", + "Ġoffic ial", + "Ġin it", + "Ġc over", + "Ġim port", + "ĠP resident", + "Ġcre ated", + "ĠAmer ica", + "ou ther", + "Ġw ent", + "form ation", + "Ġg iven", + "Ġs ite", + "Ġto tal", + "ol ic", + "g y", + "ir c", + "ĠSt reet", + "al t", + "Ġst ru", + "Ġe very", + "ĠF irst", + "Ġt urn", + "outher n", + "Ġcommun ity", + "y a", + "ĠF rom", + "ĠS ing", + "er ation", + "w est", + "oin ted", + "ĠSt ud", + "3 0", + "Ġjoin ed", + "ra p", + "om et", + "Ġv al", + "Ġeff ect", + "ĠH istor", + "it te", + "ĠK h", + "Ġra il", + "ot s", + "Ġpolit ical", + "Ġch ang", + "Ġwork ed", + "Ġwh at", + "Ġp res", + "Ġcon c", + "i j", + "Ġvari ous", + "ir on", + "Ġf re", + "Ġdevelop ment", + "ag o", + "ber t", + "ĠS en", + "ree k", + "ĠT own", + "Ġcon f", + "pos ed", + "s ite", + "ĠT rans", + "b or", + "ir l", + "Ġpro cess", + "m a", + "Ġ1 00", + "Ġt w", + "Ġv ideo", + "e al", + "Ġprofess ional", + "Ġele ct", + "her s", + "Ġf act", + "Ġm ilitary", + "ĠS l", + "ac hed", + "' t", + "ĠUn ion", + "Ġvers ion", + "at ic", + "olog ical", + "at ri", + "ĠGerman y", + "op e", + "re am", + "ĠGro up", + "Ġm uch", + "s elf", + "Ġpro te", + "Ġprodu ction", + "Ġh aving", + "Ġne xt", + "Ġcomm on", + "Ġb re", + "Ġcl aim", + "Ġbec ome", + "Ġspec ial", + "Ġg r", + "h old", + "ĠM art", + "Ġs ent", + "ĠH en", + "Ġm iss", + "Ġh ost", + "ĠB er", + "og n", + "Ġs w", + "ĠJ e", + "h ib", + "ĠV ir", + "ĠM ary", + "ĠM ag", + "Ġ198 0", + "ĠS er", + "ĠRo ad", + "o or", + "Ġus ing", + "ĠW e", + "Ġp ri", + "ĠBl ack", + "ĠAr ch", + "Ġ [", + "Ġdire ct", + "Ġreturn ed", + "ĠMe x", + "19 6", + "Ġw rote", + "Ġint ro", + "ĠP ri", + "Ġs it", + "Ġp resident", + "Ġpr im", + "m en", + "Ġt em", + "ĠItal ian", + "ĠM y", + "ĠJapan ese", + "Ġ199 9", + "est s", + "Ġ2 9", + "Ġg l", + "ĠAfric an", + "in ation", + "ĠT ur", + "Ġpos ition", + "Ġmat ch", + "h a", + "Ġan t", + "ict ion", + "ĠL aw", + "Ġdire ctor", + "i ography", + "m ing", + "ĠH all", + "oin ts", + "Ġteam s", + "Ġt ake", + "ĠW omen", + "Ġm ult", + "Ġch urch", + "Ġsong s", + "fl u", + "ĠThe se", + "Ġopen ed", + "Ġper forman", + "B C", + "ct s", + "il ar", + "ĠComm un", + "ĠW ash", + "ĠPro v", + "ivid ual", + "Ġf ew", + "Ġev ents", + "id a", + "Ġf un", + "ell ow", + "ĠG ames", + "Ġbe h", + "se qu", + "ĠS am", + "ĠRober t", + "arl iam", + "Ġv ol", + "ak en", + "ib r", + "itt le", + "ĠRuss ian", + "ĠLe g", + "an i", + "ent ion", + "e ad", + "ĠCh ina", + "oc rat", + "u le", + "ĠB est", + "l o", + "arliam ent", + "ar ian", + "g er", + "C A", + "ĠSc ott", + "2 1", + "Ġt imes", + "t ra", + "Ġst ory", + "Ġs ol", + "ĠO ther", + "ec ut", + "Ġpart icip", + "Ġw ay", + "Ġv oc", + "Ġfootball ers", + "y ing", + "ri an", + "Ġalbum s", + "ĠAcc ording", + "augh ter", + "Ġbe g", + "Ġh ig", + "ĠM ad", + "est ed", + "ĠC ap", + "ĠPl ay", + "un t", + "Ġf riend", + "Ġ199 8", + "ĠWash ington", + "it z", + "ĠC ourt", + "n ing", + "ic le", + "Ġatt ack", + "ket ball", + "ĠM iss", + "Ġro ad", + "stit ut", + "our ces", + "itte e", + "il es", + "an ies", + "Ġim p", + "Ġadm inist", + "ĠC ast", + "Ġpopul ar", + "Ġbro ther", + "Ġne ed", + "Ġwith out", + "ĠComp any", + "is l", + "ĠC ont", + "ĠThom as", + "at ter", + "Ġserv ices", + "ra g", + "an ces", + "a ur", + "Ġreg ion", + "end ing", + "Ġp ract", + "ĠS erv", + "Ġstud ents", + "idd le", + "Ġs k", + "Ġs ocial", + "od es", + "ĠC ath", + "Ġt er", + "ĠM en", + "ers hip", + "ĠS al", + "e x", + "wo od", + "ĠK n", + "a ign", + "Ġh alf", + "Ġbro ad", + "y ear", + "2 2", + "Ġg reat", + "Ġf ull", + "r ated", + "Ġcontin ued", + "Ġ197 0", + "Ġl ost", + "ĠA wards", + "ĠKing dom", + "ain ing", + "ĠCent ral", + "ĠS ociety", + "ac y", + "c raft", + "Ġco ach", + "y m", + "Ġm id", + "ĠM ont", + "ĠG rand", + "Ġal umni", + "ĠO p", + "us ed", + "Ġeduc ation", + "ra b", + "Ġrese arch", + "are nt", + "Ġ199 6", + "Ġatt empt", + "Ġs qu", + "Ġd ays", + "is ing", + "Ġh owever", + "ĠI r", + "b urg", + "Ġse e", + "ĠCh in", + "ens us", + "ĠRec ords", + "Ġprom ot", + "ap er", + "ĠM useum", + "4 0", + "Ġcomple ted", + "on a", + "Ġpro duc", + "Ġele cted", + "Ġapp ointed", + "ĠA lex", + "at ors", + "ĠChar les", + "ill s", + "ĠFl or", + "Ġcom b", + "ĠIs land", + "Ġinv est", + "Ġind ust", + "Ġin f", + "Ġ ident", + "est ival", + "in i", + "ĠD on", + "cent er", + "Ġpart y", + "ĠM et", + "Ġfound ed", + "Ġcont rol", + "Ġdire cted", + "ĠE duc", + "ĠCent er", + "Ġrecord ed", + "ĠTe x", + "Ġl im", + "Ġa ver", + "ific ation", + "u it", + "Ġr ight", + "ĠI m", + "r d", + "Ġ199 7", + "Ġsign ed", + "ĠE arly", + "Ġw ife", + "Ġe conom", + "ĠS ummer", + "amp le", + "l ess", + "Ġp oints", + "ber g", + "Ġpro per", + "Ġle ague", + "w h", + "as ons", + "Ġgroup s", + "Ġare as", + "2 3", + "Ġre view", + "Ġ18 5", + "Ġ /", + "ĠDe partment", + "Ġb ase", + "n el", + "Ġconsid ered", + "ish ing", + "ĠS im", + "Ġcon ne", + "Ġra ce", + "r ay", + "ĠAng el", + "ĠWest ern", + "Ġ202 3", + "ĠO ffic", + "Ġp oint", + "ĠJ ew", + "pl ay", + "Ġh on", + "ĠC he", + "Ġpart ic", + "Ġse le", + "at ural", + "ĠFran c", + "Ġre n", + "Ġf ind", + "Ġf urther", + "ĠV ict", + "j e", + "Ġm ar", + "= #", + "ĠT o", + "Ġc oll", + "ĠT V", + "Ġrel ations", + "ĠIn stitute", + "Ġc aus", + "ar ies", + "Ġv ict", + "ĠG old", + "ĠAcadem y", + "ĠLou is", + "ell s", + "Ġsim ilar", + "ĠOlymp ics", + "il i", + "Ġde g", + "ĠB ay", + "th let", + "Ġh old", + "ĠMich ael", + "Ġind ividual", + "way s", + "Ġto g", + "Ġre al", + "Ġpr iv", + "ĠG reat", + "Ġvi ew", + "ĠM ac", + "Ġweb site", + "Ġ z", + "id ence", + "ĠZ eal", + "Ġt en", + "ĠP ress", + "Ġtog ether", + "Ġ199 5", + "u ation", + "um p", + "Ġrele ase", + "ra in", + "ĠP at", + "ĠC ong", + "ĠZeal and", + "Ġ199 2", + "ric k", + "Ġin flu", + "ot a", + "ĠVir gin", + "ĠV ol", + "Ġreport ed", + "ĠChrist ian", + "Ġc ase", + "Ġappe ared", + "ĠM us", + "ĠRep ublic", + "ĠM er", + "ĠU K", + "et work", + "Ġ199 4", + "| |", + "ar ter", + "ar th", + "Ġs ports", + "Ġoff ice", + "ĠSp anish", + "ĠChin ese", + "Ġm other", + "ou l", + "ed eral", + "ĠAfric a", + "Ġtra ck", + "ĠK ore", + "m ar", + "Ġw eek", + "2 5", + "Ġ3 1", + "c ks", + "ĠT om", + "Ġ5 0", + "Ġm y", + "Ġk e", + "i que", + "Ġme et", + "Ġnov el", + "Ġcon d", + "Ġbir th", + "Ġdevelop ed", + "en c", + "Ġform ed", + "Ġin s", + "Ġh ous", + "it ive", + "y d", + "ak er", + "Ġ196 0", + "it ing", + "Ġmed al", + "ĠB ur", + "Ġhel p", + "Ġa ut", + "ĠCar ol", + "Ġgu itar", + "ad es", + "Ġla un", + "Ġass ist", + "ĠB en", + "Ġph ot", + "ĠIn ter", + "ĠT er", + "ul a", + "k n", + "ĠD an", + "ap t", + "Ġwork ing", + "e h", + "du ction", + "Ġd oc", + "Ġar r", + "Ġm aking", + "Ġimport ant", + "Ġto urn", + "c le", + "ĠG reen", + "i ers", + "Ġarch ite", + "ĠH am", + "ĠTex as", + "ail ed", + "ud e", + "re land", + "Ġart ist", + "Ġc ast", + "ĠWh ite", + "ĠP et", + "Ġgro w", + "ed y", + "Ġm unicip", + "Ġap pl", + "Ġg ood", + "im ately", + "it ted", + "ĠWh ile", + "ĠD el", + "Ġv ot", + "b and", + "ĠP ublic", + "Ġof fer", + "t a", + "id ing", + "ĠK e", + "ĠB as", + "c ial", + "ĠS ports", + "g o", + "Ġl ess", + "Ġtrad ition", + "Ġschool s", + "m on", + "ert ain", + "ic les", + "ĠMinist er", + "r as", + "ĠJ ose", + "Ġl ive", + "id ae", + "al a", + "ĠC ons", + "Ġd ata", + "ro ll", + "one y", + "it her", + "Ġph ys", + "Ġf und", + "Ġ199 3", + "ĠDem ocrat", + "Ġty p", + "Ġother s", + "ens ive", + "Ġh uman", + "Ġsh ould", + "Ġd aughter", + "ol a", + "ĠT or", + "ab ly", + "epend ent", + "at ives", + "Ġem ploy", + "Ġro ck", + "Ġd i", + "Ġgro und", + "ĠP eter", + "osp ital", + "Ġre v", + "ĠFran k", + "Ġrec ogn", + "Ġm ater", + "Ġhim self", + "Ġst ar", + "overn or", + "all s", + "v iron", + "Ġbuild ings", + "Ġde cl", + "Ġ =", + "re y", + "ĠCath olic", + "ĠM el", + "ĠS ong", + "ut y", + "ĠRich ard", + "le g", + "Ġr ul", + ") :", + "Ġac ross", + "az ine", + "Ġav ail", + "Ġf ire", + "Ġcomp anies", + "ĠS ur", + "g en", + "h i", + "ic ation", + "ĠSw ed", + "19 5", + "al y", + "ĠB ill", + "Ġb ody", + "p ite", + "s y", + "en a", + "ate g", + "ol f", + "Ġan im", + "ant ed", + "Ġcamp aign", + "Ġst ations", + "and ing", + "at re", + "Ġl anguage", + "sh ire", + "m ost", + "ri a", + "Ġe ight", + "19 4", + "um e", + "Ġdo es", + "ĠW il", + "b our", + "Ġaver age", + "ĠM ass", + "ĠL u", + "ĠU p", + "ĠF ore", + "Ġm ot", + "Ġ199 1", + "ce ed", + "Ġbl ack", + "Ġqu al", + "Ġex ist", + "Ġbec om", + "ĠPar is", + "ĠSec ond", + "Ġplay ing", + "ut es", + "ric ket", + "o ice", + "ra el", + "ĠL at", + "Ġt ro", + "g ress", + "Ġmod ern", + "Ġl ow", + "ĠHen ry", + "em or", + "Ġdef e", + "ĠSup er", + "ĠVict or", + "he ast", + "19 3", + "Ġh ow", + "ĠS ant", + "Ġepis ode", + "Ġ18 4", + "Ġp aint", + "st ro", + "Ġc le", + "Ġ et", + "ĠC ro", + "Ġgrad u", + "o res", + "S t", + "z il", + "Ġst age", + "Ġd ivision", + "Ġd ram", + "Ġex ample", + "Ġd er", + "ĠGeor g", + "Ġc ross", + "em ents", + "Ġ4 0", + "w rit", + "ud d", + "Ġr adio", + "ad a", + "Ġne ver", + "Ġl iving", + "air s", + "ĠD ire", + "Ġperform ed", + "h ood", + "Ġf oc", + "ĠL os", + "Ġfem ale", + "emb ly", + "ch ie", + "oc key", + "and id", + "Ġw inn", + "eth od", + "ĠH on", + "Ġl ight", + "ĠS ome", + "Ġse par", + "Ġart ists", + "Ġbel ie", + "ĠRe v", + "Ġf ree", + "ĠSm ith", + "Ġpolitic ian", + "Ġac qu", + "ĠP enn", + "Ġass oci", + "w are", + "ĠOr der", + "Ġf ight", + "t ime", + "ur a", + "ent ial", + "Ġcont ract", + "ov iet", + "2 4", + "ĠChampionship s", + "ĠL ake", + "ĠB ut", + "ibr ary", + "ough t", + "Ġstr ong", + "ign ed", + "Ġsuccess ful", + "Ġmon ths", + "ĠF C", + "Ġre d", + "Ġkill ed", + "at ory", + "im ate", + "Ġfin ished", + "ĠEduc ation", + "av al", + "Ġpl aces", + "id ents", + "Ġcon struction", + "ĠCh ic", + "he ad", + "pe ople", + "k ed", + "ĠI reland", + "ĠO l", + "Ġg ave", + "Ġestablish ments", + "Ġ198 8", + "ĠC amp", + "Ġm us", + "av es", + "ĠG o", + "Ġavail able", + "ĠDe f", + "Ġcon du", + "Ġa way", + "Ġgo al", + "Ġ198 9", + "v a", + "Ġperforman ce", + "if f", + "ell ing", + "ĠO b", + "ĠS aint", + "Ġt re", + "Ġal though", + "id s", + "ĠP an", + "as c", + "ish op", + "Ġpro t", + "Ġbo oks", + "ran ch", + "il ities", + "viron ment", + "it a", + "ĠS pec", + "Ġj ournal", + "an o", + "Ġin formation", + "Ġ ide", + "ĠD ay", + "ad o", + "inal s", + "z a", + "ic ated", + "ĠFilm s", + "he re", + "ĠOlymp ic", + "Ġd am", + "ĠC ur", + "Ġt aken", + "ĠV ill", + "ĠW in", + "ĠNot es", + "le ft", + "ell a", + "Ġcap t", + "it ch", + "i qu", + "ĠBra zil", + "ĠIs rael", + "ĠD u", + "ific ant", + "Ġshow s", + "Ġfollow ed", + ", \"", + "Ġr ank", + "o o", + "Ġag re", + "ĠR ob", + "ĠC areer", + "Ġto ur", + "ug by", + "Ġc ost", + "Ġm ix", + "ĠVirgin ia", + "Ġhe alth", + "Ġfr ont", + "Ġj ud", + "om a", + "ĠG overnment", + "Ġinclud es", + "Ġaward ed", + "Ġc irc", + "ut ch", + "Ġtourn ament", + "Ġc our", + "ĠM a", + "ĠL ife", + "ĠM in", + "\" |", + "Ġfeat ures", + "ig an", + "Ġ :", + "ĠJ ust", + "I I", + "Ġvi ol", + "Ġoriginal ly", + "Ġdesign ed", + "s erv", + "ĠT our", + "ĠAt l", + "Ġhouse hold", + "ĠH ill", + "ag ed", + "nd er", + "n y", + "i os", + "Ġac cess", + "Ġmater ial", + "ĠTe am", + "Ġse ven", + "se c", + "Ġs en", + "ve y", + "Ġc ourt", + "ĠE mp", + "e g", + "ĠC arl", + "ĠIt s", + "ĠM r", + "Ġim pro", + "Ġp ut", + "om s", + "Ġc ivil", + "Ġrel ig", + "2 6", + "Ġrem ained", + "ĠP erson", + "ĠHistor ic", + "Ġs ound", + "ĠAr ts", + "Ġs il", + "ist an", + "Ġstud y", + "Ġl ab", + "en ed", + "ĠG all", + "ĠR ock", + "Ġon ce", + "ĠG ra", + "2 7", + "Ġfeat ured", + "Ġin j", + "Ġd ou", + "ĠRail way", + "er ous", + "ar ia", + "ĠS qu", + "Ġfor ces", + "atri ate", + "Ġsc ored", + "ĠL and", + "ur ity", + "Ġc y", + "Ġ ill", + "om m", + "Ġt est", + "Ġ #", + "Ġp ress", + "ac hes", + "Ġ198 7", + "ol k", + "Ġb ar", + "ĠChic ago", + "2 8", + "he st", + "it es", + "Ġmark et", + "Ġbas ketball", + "ip le", + "Ġde v", + "Ġre b", + "Ġsing er", + "Ġsign ificant", + "ĠM o", + "ach ing", + "ap s", + "il ies", + "Ġpl an", + "end er", + "Ġex ecut", + "r or", + "ĠS oviet", + "ic ations", + "re l", + "Ġlead ing", + "Ġtra ining", + "em s", + "ĠSc ot", + "v in", + "Ġpol ice", + "Ġmed ia", + "ĠFor ce", + "Ġe arn", + "ver t", + "ĠS ub", + "y e", + "ic y", + "Ġ195 0", + "ĠM il", + "C h", + "Ġm ount", + "Ġlarg est", + "Ġr ights", + "ĠS ir", + "ear ch", + "ĠComm ission", + "augh t", + "ĠT wo", + "ĠItal y", + "m ier", + "A mer", + "ĠS o", + "ĠPro fess", + "Ġ198 6", + "our ce", + "Ġm ust", + "Ġair craft", + "Ġst ri", + "ĠM od", + "Ġmod el", + "ut er", + "ĠMex ico", + "Ġ198 4", + "Ġch art", + "Ġen c", + "y p", + "Ġs em", + "ĠCl ass", + "ĠI ll", + "Ġthrough out", + "ĠPol it", + "Ġl iter", + "ist ics", + "ĠP arliament", + "Ġg old", + "Ġtrans fer", + "Ġcons ist", + "v ing", + "ĠS ince", + "ĠMar k", + "Ġinvol ved", + "Ġc ou", + "ĠC at", + "Ġlist ed", + "Ġsub sequ", + "ord er", + "Ġst ated", + "ien ces", + "Ġwh ite", + "ĠO ff", + "ĠAn n", + "Ġw id", + "un k", + "Ġbo ard", + "s el", + "Ġintro duced", + "Ġrepl aced", + "ĠIr ish", + "Ġs ugg", + "ann el", + "Ġe arl", + "Ġse en", + "Ġcompet ition", + "Ġb i", + "Ġ18 3", + "un s", + "ĠE r", + "ĠProv ince", + "ĠFlor ida", + "Ġc andid", + "Ġd iv", + "if t", + "6 0", + "2 9", + "Ġtrans l", + "ĠN avy", + "ĠM ur", + "Ġ198 5", + "Ġwrit er", + "Ġevent ually", + "Ġpriv ate", + "Ġv ia", + "Ġresp ons", + "rib ution", + "ut ure", + "ĠTe chn", + "Ġcrit ic", + "Ġresult s", + "Ġent ire", + "u ff", + "Ġvoc als", + "c her", + "Ġab le", + "u z", + "um m", + "ĠD o", + "te xt", + "Ġr an", + "Ġadd ed", + "ret ary", + "ĠAl though", + "Ġc ollege", + "ĠD en", + "Ġpro ble", + "ĠO per", + "ĠComm ittee", + "ĠF estival", + "Ġfour th", + "ĠS il", + "o ch", + "Ġp ast", + "Ġcount ries", + "ĠF in", + "as k", + "ĠB us", + "ro ad", + "A S", + "el t", + "ĠW ales", + "c ript", + "Ġw ind", + "ĠAngel es", + "y r", + "ĠO ver", + "Ġcent ral", + "Ġst e", + "Ġact ress", + "m b", + "uf act", + "Ġsur v", + "as ing", + "ul arly", + "Ġa ud", + "Ġwrit ers", + "u a", + "ian o", + "Ġcomm and", + "Ġass ociation", + "Ġle ast", + "m in", + "Ġres pect", + "i res", + "ĠBro wn", + "ĠE v", + "Ġl oss", + "yl van", + "Amer ican", + "Ġsp ace", + "por ary", + "Ġs er", + "A R", + "ĠSc ience", + "ĠO ut", + "mer cial", + "8 0", + "ĠN orthern", + "Ġun its", + "ĠM ost", + "ab ility", + "f ic", + "ĠR h", + "Ġn omin", + "ĠF ound", + "ĠSt ar", + "ĠRuss ia", + "Ġm inist", + "Ġs ch", + "b b", + "ok e", + "ĠU k", + "ĠG od", + "r up", + "Ġdeg ree", + "i ro", + "ĠCong ress", + "ĠCarol ina", + "Ġst aff", + "Ġdisc over", + "Ġ198 3", + "Ġr ange", + "Ġst ates", + "ib l", + "ĠAr g", + "ri al", + "Ġcl ose", + "ĠR os", + "Ġdoc ument", + "ra w", + "ĠJ un", + "Ġbroad cast", + "n ow", + "Ġf ig", + "Ġab ove", + "pl es", + "Ġre ached", + "med i", + "g ian", + "l or", + "Ġc ensus", + "ĠServ ice", + "st e", + "ant ic", + "Ġpl ant", + "ĠCol umb", + "ĠL iber", + "ĠE s", + "ĠC r", + "Ġch ange", + "erv e", + "T V", + "Ġprov ided", + "ĠJose ph", + "ĠO h", + "Ġse asons", + "Ġt reat", + "Ġcurrent ly", + "oy s", + "Ġex hib", + "ĠO ld", + "i ents", + "b ur", + "rough t", + "Ġg et", + "Ġcont ribut", + "Ġexp ress", + "ylvan ia", + "l im", + "Ġp ur", + "Ġe ither", + "Ġf av", + "Ġ( \"", + "Ġch ampionship", + "r ative", + "ĠS a", + "f ace", + "Ġtra vel", + "or por", + "Ġac cept", + "Ġpl aced", + "u x", + "sy ch", + "Ġmiss ing", + "Ġup on", + "ĠF re", + "al ed", + "F A", + "Ġrail way", + ") ;", + "bo ard", + "ĠS eries", + "Ġs aw", + "ad ium", + "Ġinter est", + "st ant", + "ian a", + "Ġstru ct", + "ĠC am", + "F L", + "ĠP ac", + "ab it", + "ist ic", + "ip l", + "Ġ198 2", + "Ġcent er", + "Ġm ur", + "w ell", + "Ġk ey", + "Ġ !", + "Ġa ction", + "ĠAss embly", + "a ut", + "ĠF ort", + "ĠD ou", + "Ġocc ur", + "ed s", + "Ġty pe", + "ĠM os", + "cept ion", + "Ġp ot", + "ĠM ic", + "kn own", + "p ly", + "is es", + "Ġc op", + "ĠF urther", + "ĠF ollow", + "Ġn ight", + "Ġa chie", + "ig er", + "g l", + "ĠS k", + "Ġd u", + "ĠR am", + "Ġatt ended", + "Ġ197 9", + "stit ution", + "Ġle arn", + "ĠM ill", + "Ġcharact ers", + "ĠB re", + "l anguage", + "ĠB attle", + "ĠA rab", + "Ġse x", + "ubl ican", + "ay ing", + "ĠM at", + "az z", + "Ġcap ital", + "p ress", + "ĠP opul", + "et te", + "Ġme as", + "Ġdec ided", + "ĠM ain", + "ĠW ood", + "Ġf if", + "l am", + "i h", + "ĠM ajor", + "ĠT ro", + "ele b", + "Ġar g", + "Ġdec ision", + ". )", + "ult ural", + "Ġprevious ly", + "Ġdra w", + "ĠRes earch", + "eng th", + "ar ily", + "ĠEmp ire", + "ĠG reek", + "ĠF red", + "ult ure", + "c a", + "Ġst re", + "Ġde stro", + "Ġne igh", + "Ġ197 2", + "Ġlead er", + "Ġh om", + "d en", + "ĠDemocrat ic", + "g r", + "Ġappro x", + "am ily", + "Ġstud io", + "Ġse ction", + "er o", + "Ġus ually", + "Ġme an", + "ĠPenn s", + "Ġ197 6", + "or ing", + "Ġm ass", + "ĠS ol", + "Ġdefe ated", + "ĠOffic ial", + "ĠH a", + "Ġsing les", + "and a", + "Ġed ition", + "ĠMart in", + "u an", + "ĠD utch", + "Ġre ve", + "Ġocc up", + "ow ers", + "st ra", + "re me", + "ĠC le", + "ĠS un", + "p ing", + "ĠFollow ing", + "Ġkn ow", + "Ġg rand", + "Ġn atural", + "Ġinst ead", + "Ġeff ort", + "ĠMed al", + "ĠJ im", + "ĠScott ish", + "Ġp ain", + "Ġpo et", + "Ġact or", + "Ġr iver", + "ĠSp ain", + "ch an", + "Ġf arm", + "Ġp arent", + "Ġacc ount", + "il s", + "ig a", + "ĠS ocial", + "ĠPenns ylvania", + "Ġb ur", + "B A", + "or a", + "Ġsub ject", + "st r", + "c el", + "c ell", + "Ġ198 1", + "Ġw inning", + "Ġproduc er", + "ĠG ar", + "inc ip", + "ans as", + "ĠM embers", + "Ġinvest ig", + "Ġwh ose", + "ult y", + "ult s", + "Ġm ethod", + "ĠW al", + "um ents", + "Ġpl ann", + "Ġ197 8", + "ĠL ove", + "Ġpart s", + "ĠIn c", + "Ġact ive", + "Ġ197 4", + "Ġrepresent ed", + "in ent", + "ĠM ilitary", + "Ġmov ement", + "at o", + "Ġg e", + "ĠH ow", + "Ġprim ary", + "Ġprov ide", + "ĠAs ian", + "Ġfam ilies", + "Ġcult ure", + "Ġ196 8", + "ĠP ak", + "w an", + "Ġrelations hip", + "Ġplay s", + "9 0", + "ĠL ater", + "ĠF inal", + "b ased", + "Ġf ar", + "Ġp ark", + "ĠR adio", + "Ġsc ient", + "Ġorgan iz", + "pt ion", + "Ġpr ison", + "ĠJ ud", + "Ġde al", + "ĠLe e", + "Ġp red", + "Ġn orthern", + "Ġ194 0", + "Ġs outhern", + "Ġbeh ind", + "Ġp urch", + "ĠE p", + "pos ition", + "r ig", + "Ġt ax", + "ĠH ot", + "cl us", + "ĠT w", + "ar io", + "Ġ197 5", + "ug u", + "ĠC ross", + "l a", + "ĠI ran", + "ĠYou ng", + "ig ital", + "Ġmus ical", + "ĠBu ild", + "ad y", + "ens ion", + "Ġs ize", + "y er", + "ĠC ivil", + "ĠCh ief", + "Ġb ank", + "Ġl ik", + "7 0", + "omet imes", + "Ġ197 7", + "se e", + "ri e", + "Ġl ower", + "ĠB ul", + "ing u", + "ĠBo ard", + "w er", + "ĠB et", + ".. .", + "Ġgo als", + "isc o", + "ĠS ar", + "ĠSp ace", + "Ġb rought", + "ĠP ost", + "Ġread ing", + "Ġco ast", + "Ġnew sp", + "ĠB ig", + "ĠB ase", + "erg y", + "Ġout side", + "ĠL oc", + "Ġac adem", + "ĠH el", + "Ġs us", + "s k", + "ĠS outhern", + "ĠReg ister", + "\" )", + "n ot", + "Ġp ers", + "Ġcolle ction", + "Ġh ard", + "Ġorgan ization", + "im b", + "ar ing", + "Ġc ut", + "Ġ i", + "ĠC D", + "end s", + "ĠH aw", + "Ġr ather", + "all ed", + "ĠB ack", + "ers ey", + "Ġ197 3", + "Ġf all", + "m ark", + "Ġclos ed", + "a o", + "Ġindust ry", + "Ġrun s", + "Ġwrit ing", + "al i", + "Ġn etwork", + "Ġg irl", + "Ġend ed", + "N A", + "Ġc ricket", + "ĠJ ack", + "Ġman ufact", + "Ġc are", + "h an", + "Ġdram a", + "Ġk ing", + "ĠL uc", + "or se", + "Ġfor ce", + "Ġsh ot", + "ir m", + "Ġfootball er", + "Ġ193 0", + "ĠAd m", + "it an", + "Ġsystem s", + "anc ial", + "p an", + "at i", + "pec ially", + "he t", + "aw a", + "ĠO x", + "I D", + "ĠEd ward", + "ĠEng ine", + "ct ive", + "Ġh it", + "ĠL ong", + "Ġes c", + "ul ation", + "oun ter", + "Ġposs ible", + "Ġw ood", + "Ġim m", + "ĠVal ley", + "ĠR el", + "Ġreg ard", + "ĠU nder", + "ĠT ri", + "Ġ194 5", + "Ġmat ches", + "m ond", + "Ġallow ed", + "Ġstud ies", + "ĠV er", + "ĠU r", + "ĠS pr", + "ĠT imes", + "Ġne g", + "Ġal most", + "it ors", + "ĠRep ublican", + "Ġreg ular", + "Ġ196 9", + "ven ue", + "id er", + "Ġstru cture", + "Ġst op", + "in ary", + "Ġ197 1", + "Ġmag azine", + "ĠJew ish", + "em ic", + "ur b", + "Ġchang ed", + "Ġcomm ission", + "Ġfre qu", + "c ient", + "enn is", + "ĠTe levision", + "in ated", + "l ike", + "ĠJ ul", + "ent h", + "Ġc at", + "ĠB ob", + "back ground", + "ĠP o", + "ĠB ank", + "Ġd en", + "ĠMich igan", + "Ġis land", + "c ing", + "Ġpl at", + "Ġsett le", + "Ġsch ol", + "ĠD isc", + "Ġlaun ched", + "Ġb all", + "ĠM ah", + "Ġoper ations", + "it iz", + "ĠC amb", + "air man", + "ov ers", + "Ġw oman", + "ĠPl aces", + "velop ment", + "Ġbeg inning", + "ac ing", + "Ġperson al", + "ĠJ er", + "ĠO s", + "Ġter rit", + "k o", + "Ġto wards", + "3 5", + "on n", + "Ġte xt", + "i as", + "Ġtrans port", + "ĠMc C", + "Ġgen us", + "ĠA thlet", + "Ġown ed", + "Ġdet erm", + "Ġt aking", + "Ġn ar", + "Ġf ood", + "ĠOp en", + "Ġmanag er", + "et ts", + "Ġacc ording", + "e es", + "Ġ196 7", + "Ġc ases", + "ĠT im", + "Ġm er", + "ĠH ung", + "ĠHe alth", + "ip s", + "y an", + "Ġn ames", + "ak a", + "Ġind ependent", + "Ġcon stru", + "Ġwh om", + "Ġp ay", + "us band", + "ĠV i", + "ly ing", + "Ġ196 4", + "ol s", + "Ġsc ience", + "Ġf a", + "Ġrem ov", + "Ġoffic er", + "Ġc red", + "ĠPhil ipp", + "Ġ )", + "ĠOh io", + "ĠB h", + "Ġsc ore", + "st ate", + "ĠK ent", + "Ġapprox imately", + "ĠIn f", + "Ġmin or", + "Ġv eh", + "ĠT op", + "Ġob serv", + "ĠL ine", + "ĠF r", + "7 5", + "ĠUn ivers", + "Ġcomp let", + "Ġbre ak", + "ĠR ou", + "im a", + "ĠPol and", + "Ġfun ction", + "ib ility", + "ĠJ o", + "b ury", + "ino is", + "Ġe ver", + "Ġsc reen", + "b on", + "Ġconc ern", + "Ġsp ent", + "Ġar my", + "ĠG al", + "ĠArg ent", + "Ġaddition al", + "ct ing", + "g a", + "pe cted", + "Ġsqu ad", + "Ġ6 0", + "ĠD is", + "o id", + "Ġph il", + "ĠII I", + "ĠA re", + "o ir", + "Ġnot ed", + "in et", + "ĠScot land", + "ĠM ot", + "ĠG h", + "Ġs elf", + "Ġob ject", + "en ced", + "Ġcomple x", + "Ġbo x", + "ir a", + "Ġc eleb", + "amp ions", + "ĠT re", + "ach us", + "ĠL ord", + "if y", + "w w", + "Ġiss ues", + "Ġcount y", + "ĠPol ish", + "Ġ19 20", + "os h", + "il ed", + "Ġch ief", + "ĠB or", + "en ces", + "Ġsen ior", + "es h", + "k ing", + "ĠQue en", + "Ġc he", + "Ġmon th", + "Ġb attle", + ": #", + "Ġcom mercial", + "ost on", + "Ġl ived", + "Ġs ummer", + "Ġele ctions", + "4 5", + "Ġits elf", + "Ġd ate", + "Ġmult iple", + "Ġrel ated", + "uf fer", + "ĠPac ific", + "Ġs at", + "read y", + "Ġpolitic ians", + "Ġfoc us", + "Ġhig hest", + "Ġro ute", + "ĠNew s", + "Ġso on", + "ĠM att", + "ĠJ r", + "ĠIll inois", + "Ġtradition al", + "d own", + "Ġto o", + "Ġl ittle", + "Ġf uture", + "Ġle t", + "Ġqu est", + "Ġes pecially", + "ĠDire ctor", + "Ġhig her", + "Ġopen ing", + "ay a", + "ard en", + "Ġsup er", + "Ġlo ok", + "ĠE nd", + "Ġ196 5", + "um s", + "Ġm oney", + "Ġc al", + "ac her", + "ĠO k", + "ĠBrit ain", + "Ġrequ ired", + "ĠRep resent", + "achus etts", + "f ect", + "Ġinter view", + "Ġun ion", + "ĠCon ference", + "ĠD i", + "ĠJ ersey", + "Ġ196 6", + "bur gh", + "em porary", + "ĠS and", + "ĠGeorg ia", + "Ġen vironment", + "r ich", + "ad or", + "Ġed itor", + "ct ic", + "ob al", + "Ġcont ains", + "Ġappear ance", + "ĠC y", + "ĠAs ia", + "Ġbel ow", + "Ġ18 0", + "k ins", + "Ġproper ty", + "Ġpri or", + "ĠG overnor", + "ĠA z", + "19 0", + "ĠC olle", + "ĠL ab", + "ĠMass achusetts", + "Ġvict ory", + "h ouse", + "Ġme ans", + "Ġsele cted", + "Ġent ered", + "ch ange", + "on se", + "ĠB oston", + "ĠF er", + "Ġstud ied", + "d s", + "Ġpro f", + "ig r", + "p ut", + "Ġh usband", + "ĠL o", + "ĠBo ok", + "Ġpract ice", + "ĠEast ern", + "S A", + "Ġe mer", + "Ġsur round", + "Ġloc ation", + "al ys", + "st anding", + "Ġex am", + "ut en", + "Ġassoci ated", + "emor ial", + "ĠTh at", + "Ġun it", + "ĠC O", + "ĠJ ournal", + "vent ion", + "Ġm ission", + "Ġstruct ures", + "Ġb ass", + "Ġr ad", + "ĠHe ad", + "Ġmur der", + "Ġtr ade", + "j a", + "Ġ3 5", + "Ġd on", + "w a", + "Ġprofess or", + "ĠL ibrary", + "ĠColumb ia", + "ĠB ang", + "Ġc ertain", + "Ġcent re", + "ĠJ ac", + "Ġstand ard", + "Ġship s", + "ĠG re", + "F C", + "Ġret ired", + "op er", + "Ġse at", + "Ġad op", + "Ġearl ier", + "ĠPr ince", + "Ġar ran", + "Ġ ens", + "3 3", + "i i", + "Ġrun ning", + "Ġmanag ement", + "ĠM ore", + "Ġ er", + "Ġbecom ing", + "Ġd om", + "ĠJe an", + "Ġde partment", + "ĠG ame", + "w ith", + "ĠF ield", + "Ġstud ent", + "ry ing", + "Ġ194 4", + "ĠM P", + "Ġactiv ities", + "t ained", + "Ġso ft", + "Ġt rib", + "ĠThe atre", + "ĠJ ones", + "Ġclub s", + "Ġcom e", + "ĠWilliam s", + "Ġl ength", + "an ks", + "Ġem b", + "Ġmunicip ality", + "il a", + "Ġleg al", + "and ed", + "i y", + "al le", + "Ġcoll abor", + "ĠSt an", + "ail s", + "ig g", + "ĠDe velopment", + "Ġmed ical", + "Ġact ors", + "Ġs uffer", + "Ġcom edy", + "arri age", + "in em", + "N E", + "ĠM iddle", + "gy pt", + "ian ce", + "Ġleg isl", + "Ġinit ially", + "om y", + "ĠW eb", + "Ġqu arter", + "Ġcaus ed", + "9 9", + "ĠM any", + "Ġal ready", + "ad el", + "Ġs ometimes", + "Ġp ie", + "s en", + "b re", + "ĠS oc", + "Ġp en", + "Ġth us", + "Ġtra in", + "ĠCo ast", + "ĠFranc isco", + "ĠE conom", + "ĠV an", + "Ġdestro y", + "Ġmov e", + "Ġoper ated", + "et ic", + "ĠI f", + "Ġfeat ure", + "ĠB ow", + "ĠH ong", + "Ġgeneral ly", + "ĠSt ep", + "ĠK ong", + "Ġar rest", + "Ġfore st", + "Ġincre ased", + "Ġequ ip", + "ĠD et", + "ĠS at", + "Ġold er", + "Ġh ockey", + "Ġl ove", + "ĠK ar", + "ĠW ater", + "ant ry", + "Ġcour se", + "Ġw ide", + "ĠOr gan", + "tra ck", + "Ġwest ern", + "ĠM u", + "ĠW ind", + "sp an", + "Ġnum erous", + "ĠAl bert", + "am m", + "ĠBl ue", + "Ġcon v", + "Ġus es", + "Ġcompet ed", + "n o", + "Ġc ouncil", + "Ġnew s", + "Ġra p", + "ĠMan ag", + "Ġg ra", + "Ġann ual", + "Ġdif fic", + "a res", + "ee ks", + "Ġs af", + "ĠF ed", + "is ation", + "ĠJohn son", + "ĠP res", + "Ġ196 3", + "Ġchang es", + "ĠCons erv", + "and s", + "k en", + "Ġv ir", + "ĠE ll", + "ĠD ie", + "ĠM id", + "ĠCh ild", + "on ia", + "ĠPerson al", + "ĠSy stem", + "el a", + "Ġmajor ity", + "og rap", + "Ġs u", + "ĠDe ath", + "ill a", + "Ġterm s", + "Ġserv ing", + "ĠB C", + "ĠCent re", + "ri ef", + "Ġiss ue", + "ul pt", + "Ġf ederal", + "ĠA k", + "att al", + "stit u", + "Ġab s", + "ĠB iography", + "Ġant i", + "ad d", + "Ġind ic", + "ple ment", + "Ġperson nel", + "Ġbet ter", + "Ġcol on", + "Ġun iversity", + "ab eth", + "ĠBro ad", + "Ġ196 2", + "ul f", + "Ġth reat", + "ĠSer b", + "el le", + "Ġrelig ious", + "ĠA ri", + "Ġse a", + "p re", + "Ġc ust", + "Ġs ister", + "ĠT ime", + "ĠE gypt", + "I n", + "ĠB al", + "Ġke ep", + "it ation", + "ĠOx ford", + "ak h", + "ĠB ir", + "ĠSt ation", + "ĠT em", + "Ġpro b", + "ĠG ood", + "ĠTrans port", + "ĠOff ice", + "A C", + "ĠIn t", + "ĠW rit", + "Ġd rop", + "Ġlin es", + "ĠS pe", + "Ġpass ed", + "ĠH ome", + "ĠT am", + "as y", + "ĠAd am", + "Ġd ed", + "ĠSpec ial", + "Ġl ack", + "ĠIs lam", + "ĠW ild", + "Ġacc om", + "che n", + "ĠAlex ander", + "ĠL ittle", + "ĠTra ck", + "t ies", + "ĠComm on", + "Ġh ot", + "Ġexp atriate", + "Ġthough t", + "Ġor d", + "ĠSwed ish", + "man n", + "art ers", + "Ġoffic ers", + "ĠF our", + "ie uten", + "ĠL y", + "ir it", + "is her", + "ce an", + "Ġrecord ing", + "Ġclaim ed", + "Ġh um", + "Ġfor ced", + "ur ban", + "ĠU l", + "Ġprogram s", + "9 5", + "ĠM ax", + "Ġeconom ic", + "Ġstat us", + "Ġdisc uss", + "Ġ4 5", + "ĠK en", + "w ar", + "ĠFound ation", + "Ġn ine", + "Ġinst r", + "Ġlim ited", + "un n", + "orpor ated", + "; \"", + "Ġm useum", + "a ction", + "Ġsupport ed", + "it age", + "Ġim medi", + "ĠB ern", + "Ġ194 2", + "Ġmin utes", + "ĠSen ate", + "Ġcomple te", + "Ġp il", + "acks on", + "ub e", + "Ġcre ate", + "b l", + "Ġgen er", + "ĠCor ps", + "Ġover all", + "Ġh ours", + "Ġsubsequ ently", + "h ire", + "Ġsh oot", + "Ġpresent ed", + "Ġb ene", + "8 8", + "Ġmeet ing", + "ĠThe ir", + "ph y", + "ĠEn ter", + "ĠLat in", + "Ġrem ains", + "ĠF ar", + "ĠGall ery", + "ĠC ard", + "ĠR ay", + "Ġ194 8", + "ro wn", + "Ġ ice", + "ing er", + "ĠAd d", + "ig inal", + "ĠAnd rew", + "Ġdes cent", + "Ġra ised", + "uc le", + "Ġearn ed", + "Ġin stitut", + "v is", + "Ġl ic", + "Ġocc as", + "ĠB ibl", + "A T", + "Ġbel ong", + "ct ors", + "Ġev idence", + "n am", + "Ġcommun ities", + "ĠA sh", + "Ġch all", + "ĠVictor ia", + "Ġgo ing", + "Ġ194 3", + "ĠO f", + "ĠF I", + "3 6", + "iz ing", + "Ġplat form", + "Ġmost ly", + "un a", + "ap ers", + "Ġ195 6", + "Ġj ob", + "ĠC reek", + "is k", + "Ġ196 1", + "ĠSe a", + "Ġhistor ical", + "u ge", + "um ber", + "Ġw eeks", + "Ġal tern", + "m i", + "Ġf le", + "Ġappear ances", + "ĠEl iz", + "Ġse qu", + "w ide", + "at ers", + "ĠSy d", + "ĠBer lin", + "ail y", + "Ġ6 5", + "ĠM inn", + "ur t", + "ĠDe v", + "Ġresp onse", + "ĠS und", + "ĠCor por", + "ĠT y", + "Ġg ive", + "4 7", + "Ġs om", + "ĠJ ackson", + "A F", + "ze ch", + "ieuten ant", + "Ġper cent", + "ĠC orn", + "ĠKore an", + "Ġpro p", + "Ġb ound", + "Ġsh own", + "Ġar m", + "ĠC op", + "Ġin sp", + "w in", + "im s", + "Ġcon cept", + "Ġ195 8", + "ir ing", + "Ġo pt", + "B S", + "Ġreg ional", + "ĠDan iel", + "Ġpartic ularly", + "Ġinc ome", + "g u", + "ĠAl bum", + "ĠW eek", + "Ġacqu ired", + "Ġparent s", + "Ġfore ign", + "ĠR aj", + "Ġb omb", + "ĠSec retary", + "ĠEle ct", + "ĠIs lands", + "Ġm ention", + "Ġpol icy", + "Ġy outh", + "ĠN ight", + "im um", + "ont o", + "Ġc ell", + "alys is", + "Ġ195 9", + "ste in", + "Ġm iddle", + "enc ies", + "3 8", + "che ster", + "Ġdis e", + "re m", + "Ġrecord s", + "ent y", + "ĠPol ice", + "Ġin n", + "Ġt akes", + "os oph", + "4 8", + "Ġlong er", + "ĠB BC", + "Ġl os", + "Ġg ot", + "Ġhel ped", + "ell ed", + "Ġpartic ular", + "Ġf ailed", + "ri ed", + "Ġappe ars", + "ĠG irl", + "Ġ ver", + "Ġpromot ed", + "ĠDes pite", + "Ġa wards", + "on ic", + "Ġpr incip", + "Ġst ep", + "Ġ194 6", + "ĠTh ree", + "ent al", + "st one", + "Ġfam ous", + "Ġbl ock", + "ĠKore a", + "Ġrem ain", + "out heast", + "Ġthe ory", + "ĠR od", + "olog ist", + "Ġin te", + "ag n", + "Ġv ote", + "Ġfin ancial", + "Ġorganiz ations", + "ak ers", + "Ġle aving", + "ĠAt t", + "Ġtra cks", + "ĠM ov", + "ĠR og", + "Ġeast ern", + "o z", + "led ge", + "Ġg overn", + "Ġbase ball", + "ĠB i", + "Ġp sych", + "Ġ194 1", + "Ġm em", + "ĠW ork", + "Ġtechn ology", + "Ġ3 2", + "Ġen ergy", + "v ement", + "cl ass", + "om er", + "Ġsc hed", + "Ġv on", + "if ying", + "Ġm ach", + "y o", + "Ġcompos ed", + "ron ze", + "Ġh app", + "4 6", + "Ġrefer red", + "b ers", + "ĠW all", + "ĠT ax", + "ĠReg iment", + "Ġspec ific", + "Ġcre w", + "ĠSyd ney", + "ĠF amily", + "3 7", + "Ġqu ick", + "em et", + "ĠH ospital", + "Ġincre ase", + "c ul", + "ĠM unicip", + "ĠK enn", + "Ġc itiz", + "Ġbelie ved", + "Ġrem aining", + "Ġw ord", + "ĠC oll", + "ĠSh ow", + "Ġprov ince", + "Ġc ateg", + "Ġlarg er", + "ĠJ oe", + "Ġhous es", + "ĠCh arl", + "rop ol", + "ĠV iet", + "ĠC zech", + "te en", + "Ġh ospital", + "v est", + "c an", + "Ġc arried", + "ĠO tt", + "ĠL im", + "Ġ eth", + "T h", + "ĠV en", + "ric e", + "il ly", + "ou ri", + "ĠBus iness", + "Ġam ount", + "Ġl atter", + "ĠH y", + "ĠW ay", + "Ġtro ops", + "ĠF ederal", + "th ur", + "istric ts", + "Ġ195 7", + "Ġd iss", + "Ġ193 9", + "C C", + "Ġ( ),", + "ĠAr m", + "Ġstart ing", + "ĠTur k", + "Ġarchite ct", + "ov a", + "ĠP en", + "9 6", + "Ġ194 7", + "sel ves", + "ment ary", + "im ated", + "Ġthem selves", + "Ġl ay", + "Ġb rand", + "ĠQue ens", + "ĠD er", + "Ġt arg", + "l av", + "rup t", + "Ġpro posed", + "Ġch arg", + "Ġn orm", + "9 8", + "Ġfor t", + "ut s", + "Ġro om", + "Ġb ring", + "Ġepis odes", + "Ġn ative", + "ĠR et", + "Ġc er", + "Ġ195 2", + "Ġr ate", + "ĠFor m", + "ĠB oth", + "ĠO nt", + "Ġindividual s", + "ĠW orks", + "ĠB and", + "eng er", + "Ġgradu ated", + "Ġassist ant", + "Ġ3 6", + "m ore", + "e ch", + "ut t", + "ur ies", + "Ġp ra", + "Ġl og", + "ĠB ab", + "Ġwinn er", + "Ġform s", + "Ġcult ural", + "p ose", + "Ġde part", + "ĠPri ze", + "Ġ195 5", + "Ġc ities", + "itt ing", + "Ġsur face", + "Ġc hem", + "he w", + "ĠPr ime", + "j i", + "Ġoffer ed", + "ĠE arth", + "ĠJ on", + "Ġv en", + "a is", + "Ġdel iver", + "ph ia", + "ĠCol or", + "Ġm erg", + "er b", + "Ġhe avy", + "ĠB oy", + "ĠTown ship", + "ĠT ay", + "ous ly", + "ĠT od", + "es ota", + "Ġexecut ive", + "Ġon line", + "ed d", + "9 7", + "Ġs pl", + "Ġpre vent", + "ĠJe ff", + "ĠBo oks", + "Ġm arriage", + "Ġmean ing", + "ĠPre mier", + "angu ages", + "A r", + "Ġad j", + "/ /", + "Ġt able", + "enn es", + "ĠL es", + "ĠRou te", + "Ġnewsp aper", + "ĠN ether", + "ĠM ir", + "ĠMinist ry", + "Ġsepar ate", + "Ġs ociety", + "Ġd yn", + "vers e", + "Ġcons ists", + "ound s", + "ell ig", + "ĠS em", + "ĠD ist", + "Ġfif th", + "c i", + "ion e", + "ĠNot able", + "per or", + "ĠEliz abeth", + "ou ra", + "Ġb ridge", + "ĠJ es", + "ĠB ell", + "Ġpe ak", + "ĠE st", + "ic ted", + "ĠAnt on", + "I S", + "Ġto day", + "ĠMinn esota", + "ro vers", + "Ġsuc ceed", + "Ġ ess", + "ĠB ol", + "adel phia", + "Ġexper ience", + "ĠBase ball", + "ran e", + "Ġf ail", + "Ġserv e", + "f it", + "ĠP ubl", + "Ġcond itions", + "Ġvari ety", + "ĠJust ice", + "Ġcomp l", + "Ġb rief", + "it ude", + "Ġf oot", + "h y", + "ĠTor onto", + "Ġlab el", + "Ġtransfer red", + "k er", + "u ated", + "3 4", + "Ġtem per", + "ess ion", + "Ġcandid ate", + "Ġb order", + "m as", + "Ġs ource", + "ĠH uman", + "ron ic", + "ic ine", + "ĠOnt ario", + "Ġhousehold s", + "res p", + "Ġpart n", + "ran ce", + "Ġmain ly", + "Ġmov ie", + "al og", + "ĠSqu ad", + "ĠSup reme", + "Ġalong side", + "ĠH ind", + "ĠA ut", + "z y", + "ĠM ike", + "Ġdes pite", + ": //", + "ĠCh ap", + "Ġsc ulpt", + "Ġrequ ire", + "ĠL em", + "in ct", + "Ġal ways", + "ĠS om", + "a ult", + "ĠReg ion", + "ĠB ad", + "ĠB orn", + "ĠL ew", + "ĠL ight", + "ĠN ations", + "ĠT ok", + "ĠB a", + "ĠSong s", + "ric s", + "Ġpart ies", + "we ight", + "e v", + "Ġ194 9", + "Ġ195 4", + "u ing", + "Ġoper ation", + "Ġiss ued", + "Ġdou ble", + "ic ks", + "ĠPro gram", + "Ġ( ,", + "ĠI d", + "an th", + "ĠW el", + "attal ion", + "Ġpo or", + "b it", + "n es", + "3 1", + "ĠAn other", + "Ġext ended", + "sec ut", + "Ġb r", + "Ġdem on", + "ort heast", + "Ġme chan", + "ĠAn th", + "Ġpl ans", + "Ġf ace", + "ĠD un", + "Ġprov ides", + "ĠC E", + "ĠA ff", + "Ġsold iers", + "Ġm akes", + "Ġart icle", + "Ġturn ed", + "Ġinflu ence", + "R A", + "Ġ8 0", + "Ġdef eat", + "Ġrespons ible", + "Ġsil ver", + "bour ne", + "Ġd one", + "Ġro w", + "Ġj un", + "Ġs n", + "ĠHar ris", + "Ġ195 3", + "ĠA h", + "Ġarr ived", + "ra ine", + "ĠStep hen", + "er land", + "ill ed", + "Ġfeat uring", + "ĠB rad", + "Ġh ar", + "ĠMex ican", + "Ġdiffic ult", + "ĠPhil adelphia", + "w orth", + "ĠSt adium", + "Ġr ugby", + "che stra", + "os a", + "Ġst ories", + "Ġnear by", + "8 5", + "Ġm aster", + "Ġspe ed", + "ons in", + "Ġun ivers", + "Ġex cept", + "Ġa thlet", + "pt on", + "ĠSt at", + "ĠAir port", + "ĠA v", + "Ġcap ac", + "ĠCh art", + "l ers", + "Ġc orn", + "Ġhon or", + "ĠPak istan", + "om ot", + "isc onsin", + "ĠT ai", + "av en", + "ri f", + "writ er", + "b ass", + "ĠSant a", + "ĠNether lands", + "Ġparticip ated", + "Ġo il", + "ag on", + "Ġres idents", + "at ively", + "ĠC rit", + "Ġ7 0", + "Ġs aying", + "m ission", + "Ġwinn ers", + "av a", + "Ġmanag ed", + "Ġst ay", + "Ġf ellow", + "e ction", + "Ġadminist rative", + "ĠK ir", + "ĠD am", + "l ight", + "ob ile", + "Ġelect ric", + "p on", + "Ġorig in", + "b a", + "Ġcon stitu", + "ĠMed ia", + "Ġdiscover ed", + "Ġm ight", + "um ed", + "und red", + "Ġcover ed", + "rop ical", + "ĠRev olution", + "ĠProfess or", + "ĠBr ig", + "Ġren amed", + "Ġs urn", + "n s", + "or g", + "ĠInd ones", + "Ġback ground", + "Ġmunicip al", + "8 6", + "ĠW isconsin", + "Ġlik ely", + "ĠH o", + "Ġcont ra", + "d is", + "ĠCh ris", + "Ġin h", + "ĠA venue", + "Ġrec ent", + "ĠGu ard", + "Ġmusic ians", + "ĠPe ak", + "ĠR ome", + "Ġ195 1", + "Ġpar ish", + "4 4", + "Ġele ments", + "ĠC ub", + "Ġto ld", + "ig en", + "ran ge", + "qu arters", + "ac hel", + "Ġv an", + "an cy", + "Ġas ked", + "Ġg un", + "Ġ +", + "igh ter", + "Ġconstru cted", + "Ġcon fl", + "ĠPr im", + "Ġproble ms", + "ĠTechn ology", + "ĠK im", + "Ġ ult", + "Ġfinal ly", + "ow a", + "7 6", + "ĠS us", + "Ġhe art", + "ĠS her", + "Ġle ave", + "Ġo ur", + "oc ks", + "est abl", + "Ġn ature", + "emet ery", + "Ġneigh bor", + "ir med", + "ĠP ers", + "ke e", + "Ġpro gress", + "Ġprodu cts", + "ĠMus lim", + "ĠCamb ridge", + "ĠL i", + "Ġth r", + "Ġp ick", + "ctor al", + "we gian", + "Ġhe re", + "or ation", + "ĠInd ust", + "ot o", + "Ġimp act", + "Ġnear ly", + "ĠFore st", + "Ġdr ug", + "Ġp aper", + "ĠDu ke", + "ĠB ishop", + "Ġc ause", + "5 5", + "Ġp age", + "Ġen ough", + "Ġp ath", + "g ing", + "Ġw anted", + "ĠL ady", + "Ġsub s", + "m et", + "Ġde ad", + "am ber", + "Ġmedal ists", + "w ick", + "ĠSl ov", + "per ial", + "ĠLeg isl", + "r im", + "Ġreve aled", + "ap ed", + "Ġarchite cture", + "ĠEx p", + "ĠP u", + "Ġra ces", + "ric t", + "ĠC a", + "Ġne cess", + "Ġch ampion", + "Ġsec urity", + "n ic", + "s s", + "ĠCommun ity", + "ist ance", + "Ġdirect ly", + "ens ity", + "Ġsol o", + "ĠSt r", + "g et", + "Ġv oice", + "ĠWil son", + "3 2", + "Ġp it", + "epend ence", + "ins on", + "ĠPro ject", + "Ġadd ress", + "Ġsus p", + "ĠS ab", + "ĠP ower", + "orn ing", + "ĠAdm inist", + "Ġl ives", + "Ġan cient", + "Ġlead ers", + "Ġ193 6", + "Ġminist er", + "ĠCorpor ation", + "Ġoffic ially", + "Ġincre asing", + "Ġcy cl", + "Ġproject s", + "ĠCol on", + "ĠMed ical", + "ĠMar g", + "L e", + "l iving", + "Ġdis play", + "Ġprim arily", + "Ġr ural", + "ad ing", + "ĠBar b", + "Ġadminist ration", + "en ge", + "9 4", + "van ced", + "ou d", + "Ġcondu cted", + "Ġinit i", + "Ġfriend s", + "Ġlevel s", + "ĠH ay", + "ang a", + "roll ed", + "Ġpos itive", + "en ing", + "Ġs port", + "Ġmount ain", + "ens is", + "e cted", + "ĠD ar", + "ĠNor wegian", + "Ġc ard", + "ĠSwed en", + "S S", + "ĠF air", + "Ġch ap", + "ĠI ra", + "in ity", + "Ġl y", + "i at", + "ĠM oh", + "ĠF ire", + "ĠL t", + "Ġinit ial", + "yd ro", + "ĠV ideo", + "ĠSh ort", + "ul ly", + "Ġacadem ic", + "ĠIndian a", + "ĠGold en", + "uc ky", + "Ġp an", + "ĠF le", + "Ġ9 0", + "e en", + "Ġp p", + "ĠMount ain", + "ĠW inn", + "Ġf irm", + "ĠM un", + "ak i", + "Ġch annel", + "Ġdis p", + "ĠBibl iography", + "Ġs ources", + "Ġrepl ace", + "bo ok", + "ĠWin ter", + "Ġwho le", + "ĠAr thur", + "Ġlist ing", + "Ġwork ers", + "Ġ193 8", + "ĠSc iences", + "Ġlet ter", + "cript ion", + "Ġnum bers", + "ĠR ad", + "ribut ed", + "ĠN iger", + "Ġconsid er", + "ĠAl f", + "ĠPl ace", + "Ġm ic", + "Ġval ue", + "ĠDes ign", + "ĠRe view", + "ĠB udd", + "Ġde ep", + "ĠS u", + "L A", + "Ġlaw s", + "ur ches", + "ĠH u", + "em y", + "ed om", + "ĠK ansas", + "ant a", + "ĠAl so", + "Ġliter ature", + "Ġwhe ther", + "Ġremov ed", + "th ing", + "ĠL ive", + "Ġ19 18", + "g al", + "he im", + "Ġs al", + "ĠMar ia", + "Ġwith d", + "A l", + "Ġded icated", + "el d", + "i est", + "ĠGe ography", + "ĠCap tain", + "ĠU s", + "port un", + "ert o", + "ĠDe p", + "Ġsy n", + "Ġg rew", + "ony m", + "Ġd omin", + "Ġw ords", + "ĠBar on", + "F F", + "Ġplann ed", + "ĠPopul ated", + "ĠPolit ical", + "r ical", + "Ġst ars", + "ĠJun ior", + "ĠRes ults", + "7 8", + "Ġnot able", + "Ġeffect s", + "ĠUS A", + "Ġsh are", + "je cted", + "ĠU t", + "Ġk ind", + "it ter", + "e z", + "ic ed", + "Ġr ule", + "ĠMiss ouri", + "p resent", + "Ġd ark", + "E C", + "Ġcomp uter", + "Ġp iano", + "Ġorder ed", + "ĠTay lor", + "Ġreg ist", + "Ġsettle ment", + "ath an", + "ĠM aster", + "resp ond", + "ĠH an", + "Ġprom inent", + "ik a", + "M A", + "Ġsp read", + "ĠR ugby", + "Ġcontin ue", + "ĠB ridge", + "is hes", + "ĠP it", + "ĠColor ado", + "reg on", + "y al", + "Ġrec over", + "ab les", + "rest ling", + "Ġref le", + "ĠFranc is", + "Ġun s", + "res h", + "se x", + "ell er", + "ĠE P", + "ag ing", + "Ġv ac", + "O S", + "Ġ3 4", + "Ġvot es", + "for ce", + "Ġsc ene", + "Ġfollow s", + "Ġwe ap", + "Ġdire ction", + "tern et", + "il ton", + "6 6", + "g reg", + "ĠSte ve", + "ĠR em", + "ist ed", + "Ġmix ed", + "Ġto uch", + "Ġb ranch", + "Ġhost ed", + "Ġext ra", + "ĠCon ne", + "Ġd igital", + "Ġg as", + "Ġre form", + "Ġl anguages", + "ĠW alk", + "Ġg reen", + "Ġart icles", + "Ġrul es", + "Ġpot ential", + "Ġ193 7", + "Ġim plement", + "Ġre ason", + "hen s", + "Ġint ended", + "Ġp urs", + "Ġill ust", + "ĠStud ies", + "Ġcons erv", + "en es", + "g n", + "hem at", + "Ġn ation", + "Ġan g", + "z ona", + "enn a", + "ĠRepresent atives", + "Ġhistor ic", + "Ġ era", + "3 9", + "ĠCast le", + "ĠC irc", + "y ard", + "ĠL ind", + "ĠE arl", + "Ġtri al", + "ul ated", + "Ġdiv ided", + "ĠG ree", + "Ġcapac ity", + "Ġide a", + "ĠM ember", + "Ġ ut", + "ĠN az", + "g rad", + "Ġcol or", + "Ġfor ward", + "ropol itan", + "Ġt al", + "Ġtit led", + "ograph ic", + "n ce", + "Ġrespect ively", + "Ġfl oor", + "Ġdestroy ed", + "Ġtit les", + "Ġtreat ment", + "Ġs oc", + "ĠO regon", + "ol es", + "ĠJ os", + "Ġass igned", + "ĠK al", + "ĠMar sh", + "Ġengine er", + "ĠK el", + "Ġ6 4", + "20 10", + "it led", + "ĠF e", + "Ġtown s", + "7 7", + "g g", + "ill ery", + "ur d", + "ĠTur key", + "ĠWar s", + "ĠMal ays", + "ĠP ier", + "Ġin side", + "Ġp arliament", + "or al", + "ap ore", + "ĠFred er", + "ĠH al", + "ĠR om", + "ly n", + "k h", + "ĠZ h", + "Ġag ric", + "ix ed", + "% )", + "Ġbas is", + "Ġd ance", + "Ġactiv ity", + "6 5", + "Ġsem i", + "Ġnov els", + "Ġre pe", + "and on", + "Ġcompos er", + "Ġbeh av", + "200 7", + "Ġun known", + "Ġreview s", + "Ġsit es", + "ĠE th", + "Ġ. ..", + "ĠBrazil ian", + "ĠComm and", + "Ġc ounter", + "re al", + "c ow", + "iv ity", + "Ġgrow th", + "b ec", + "Ġcle ar", + "Ġst reet", + "ĠDav is", + "Ġcont rovers", + "Ġmet al", + "ĠCon f", + "Ġfem ales", + "ĠP ass", + "b u", + "M S", + "Ġeffort s", + "Ġpurch ased", + "Ġp al", + "Ġpl ants", + "Ġbecom es", + "ennes see", + "b ell", + "Ġmov ing", + "Ġp et", + "Ġup per", + "ĠBro ok", + "ĠCon c", + "ĠAtl antic", + "ear s", + "Ġcont est", + "Ġprodu ce", + "iz es", + "ĠCount ry", + "Ġfe el", + "ĠSt and", + "ast y", + "ĠT al", + "ĠBe ach", + "ĠC re", + "ĠB all", + "Ġfac ilities", + "Ġl ies", + "ĠAri zona", + "a ud", + "ĠG reg", + "un ct", + "em an", + "Ġquest ion", + "ĠPhilipp ines", + "Ġcer em", + "ĠT a", + "ian t", + "it o", + "200 9", + "ĠN ic", + "ad ed", + "Ġtyp es", + "Ġequip ment", + "ĠFore ign", + "Ġcapt ured", + "I A", + "ĠF ree", + "Ġprodu ct", + "f ort", + "Ġsmall er", + "Ġatt end", + "est ic", + "Ġquick ly", + "Ġst ore", + "Ġy et", + "ĠK r", + "b ro", + "w ater", + "Ġhigh ly", + "200 0", + "e k", + "Ġle aves", + "ĠSe ver", + "Ġcont act", + "Ġcitiz ens", + "Ġ5 00", + "ĠS on", + "ar p", + "ound ed", + "Ġform at", + "b les", + "Ġdocument ary", + "Ġ4 4", + "Ġest ate", + "ast ic", + "st yle", + "ĠT ennessee", + "Ġimmedi ately", + "Ġ( ;", + "ĠLe on", + "ren ce", + "Ġorgan ized", + "if orm", + "Ġaccept ed", + "Ġs umm", + "ĠMar c", + "Ġg re", + "b ed", + "ed ia", + "k in", + "ipl om", + "w atch", + "Ġop portun", + "ĠNor way", + "j an", + "Ġcon ver", + "ĠM as", + "a ug", + "20 11", + "ef e", + "ĠS ri", + "Ġm ax", + "Ġown er", + "ul ed", + "Ġcon ference", + "Ġfl ight", + "Ġr at", + "ĠC as", + "ian g", + "s ky", + "ur er", + "Ġ193 5", + "ĠN etwork", + "Ġ19 19", + "Ġphys ical", + "Ġfav or", + "Ġfac ulty", + "Ġro les", + "200 6", + "g ers", + "o is", + "200 8", + "Ġst ra", + "Ġsy mb", + "Ġaut om", + "Ġb ronze", + "er c", + "Ġdecl ared", + "ĠMary land", + "amb ig", + "Ġconf irmed", + "Ġsoft ware", + "se y", + "am i", + "ĠC ra", + "ĠS av", + "Ġmot or", + "Ġte acher", + "Ġchar ge", + "Ġre ach", + "ol n", + "Ġcommon ly", + "ĠUk raine", + "Ġpos itions", + "ann a", + "Ġaff ili", + "Ġg overnor", + "Ġ19 14", + "Ġhous ing", + "Ġoper ating", + "ĠHigh way", + "Ġv s", + "ĠO d", + "Ġ3 3", + "eat her", + "ĠB at", + "ĠBe fore", + "Ġprogram ming", + "Ġper man", + "Ġbe at", + "im al", + "Ġh tt", + "Ġstre ng", + "ĠIra q", + "U n", + "ĠS ources", + "Ġele v", + "am in", + "ce st", + "Ġcomp ared", + "r ate", + "ĠFor mer", + "Ġcom es", + "h at", + "ĠBack ground", + "ĠSing apore", + "Ġterrit ory", + "ĠFed eration", + "are t", + "Ġab ility", + "ĠMod ern", + "Ġagre ement", + "Ġd istricts", + "b s", + "Ġcom ment", + "Ġtarg et", + "ĠK l", + "CA A", + "Ġst one", + "Ġ19 10", + "ĠM emorial", + "Ġfound er", + "ĠR oss", + "ĠL iter", + "Ġw a", + "Ġp op", + "ĠDe c", + "Ġsw im", + "ellig ence", + "Ġ19 17", + "Ġg iving", + "ag a", + "ĠD or", + "Ġagre ed", + "ĠF ox", + "Ġatt ention", + "ĠCh ile", + "Ġmod els", + "ar c", + "Ġappro ach", + "Ġengine ering", + "5 8", + "Ġn ucle", + "9 3", + "inc ial", + "vent h", + "ĠH or", + "Ġcamp us", + "ĠO cean", + "ĠS ound", + "S P", + "Ġpe ace", + "ĠE ach", + "m ad", + "west ern", + "igh th", + "du ce", + "Ġlead ership", + "Ġinstitut ions", + "Ġw alk", + "Ġatt ra", + "Ġc ars", + "od ies", + "S C", + "ap h", + "Ġl if", + "Ġap art", + "ript ion", + "Ġ192 8", + "Ġy ards", + "Ġest imated", + "Ġel im", + "z o", + "ĠB ru", + "igr ants", + "ol i", + "Ġse ats", + "Ġth ink", + "Ġoccur red", + "Ġbl ood", + "ĠR en", + "un te", + "Ġw ing", + "ĠW at", + "ambig uation", + "op her", + "ĠD iv", + "ĠEnter tain", + "ĠH art", + "ĠS port", + "Ġg ained", + "ad er", + "200 5", + "Ġneed ed", + "ot i", + "Ġch airman", + "Ġmed ian", + "ĠPhil ip", + "Ġ x", + "Ġact ing", + "ĠF a", + "ĠLew is", + "Ġsuffer ed", + "Ġcon clud", + "Ġdise ase", + "Ġfig ure", + "Ġadop ted", + "Ġrec on", + "Ġb ad", + "ĠB os", + "ĠMel bourne", + "Ġfl ag", + "Ġ192 9", + "Ġs ens", + "Ġcr ime", + "in us", + "Ġc oin", + "ed er", + "we alth", + "Ġdist ribution", + "Ġserv es", + "ĠT s", + "5 00", + "ĠMos cow", + "ĠT en", + "Ġst ream", + "Ġp oll", + "Ġent er", + "it ness", + "Ġf ell", + "ul s", + "Ġan alysis", + "H L", + "ĠPro duction", + "rain ian", + "Ġcomb ined", + "im inal", + "l ah", + "Ġcomm ittee", + "Ġjournal ist", + "' ,", + "s pe", + "Ġ3 8", + "ĠT est", + "ans ion", + "Ġcont ent", + "Ġcor respond", + "Ġj oint", + "T A", + "ĠAb b", + "ag h", + "or ter", + "ĠSe ason", + "Ġqu ality", + "Ġcan cer", + "Ġv ess", + "Ġpre c", + "20 12", + "200 4", + "ing ham", + "Ġ193 3", + "Ġpolit ics", + "ĠSt ock", + "y es", + "Ġres ident", + "Ġ193 4", + "ĠCro at", + "or ph", + "anc ing", + "Ġra re", + "ĠSpr ing", + "S h", + "ost er", + "ĠAb d", + "Ġcont emporary", + "ĠEngine ering", + "Ġproble m", + "ugu ese", + "ol id", + "ast ers", + "Ġ urban", + "Ġperforman ces", + "Ġtyp ically", + "A n", + "Ġh abit", + "y ond", + "al o", + "ĠR ound", + "p et", + "Ġret ire", + "pl ace", + "Ġmention ed", + "eth ing", + "Ġofficial s", + "l aw", + "Ġnomin ated", + "ĠHe art", + "Ġb ig", + "Ġindust rial", + "9 1", + "Ġcom ing", + "Ġun c", + "ib ly", + "ĠH ard", + "ash ion", + "ĠB on", + "Ġh undred", + "Ġf iction", + "id i", + "w orks", + "Ġpres ence", + "Ġl abor", + "ov i", + "ĠTurk ish", + "Ġbl ue", + "ĠQueens land", + "ĠKh an", + "ĠV o", + "p ass", + "Ġeduc ated", + "ant e", + "9 2", + "it i", + "w ing", + "Ġex c", + "g ar", + "Ġh or", + "20 13", + "ir al", + "ĠJew s", + "ĠH ou", + "ol ved", + "v ard", + "Ġf ast", + "l i", + "id ers", + "is a", + "ĠAdd ition", + "V ID", + "Ġpr in", + "il ing", + "ic ian", + "ĠB alt", + "Ġcol umn", + "hed ral", + "Ġco al", + "g i", + "Ġlarg ely", + "Ġresult ed", + "dis ambiguation", + "Ġrecogn ized", + "osoph y", + "ot ed", + "Ġprob ably", + "ĠI owa", + "ĠAust ria", + "m outh", + "Ġe c", + "Ġ ir", + "ak s", + "ĠG il", + "ĠAr k", + "ĠCommon wealth", + "for mer", + "Ġab andon", + "Ġ192 4", + "Ġb oy", + "Ġdam age", + "d a", + "Ġres erv", + "ĠR ang", + "p son", + "Ġm iles", + "Ġcon cent", + "ĠKent ucky", + "Ġh op", + "ĠBro ther", + "os en", + "ĠO t", + "Ġbur ied", + "ĠE c", + "Ġc ab", + "u ate", + "Ġpaint ing", + "Ġschol ar", + "ĠD own", + "ĠB ah", + "v o", + "ĠC ab", + "Ġc am", + "ĠSports people", + "Ġwid ely", + "act er", + "Ġsc oring", + "G B", + "Ġexp anded", + "5 6", + "Ġc ode", + "Ġ19 00", + "Ġvill ages", + "z h", + "Ġar ts", + "Ġex pected", + "Ġrank ed", + "ol is", + "Ġ193 2", + "Ġ3 7", + "Ġsex ual", + "ĠEntertain ment", + "Ġclass ical", + "Ġsports people", + "Ġb ra", + "ĠSquad ron", + "ĠK itt", + "Ġnew ly", + "Ġrec omm", + "Ġident ified", + "ĠHar ry", + "Ġm m", + "Ġcrit ical", + "Ġf elt", + "Ġgr anted", + "Ġm ill", + "Ġdef end", + "ĠAre a", + "oc ese", + "iqu es", + "ar o", + "ĠC ape", + "Ġp ict", + "u i", + "form ed", + "ain e", + "cl es", + "Ġse arch", + "ĠWal ter", + "Ġsecond ary", + "ĠBel g", + "Ġ rom", + "Ġf ish", + "Ġad apt", + "Ġsqu are", + "ĠH ur", + "ĠManag ement", + "ĠT ony", + "ĠD anish", + "ĠG i", + "Ġcou ple", + "Ġdr ums", + "Ġstar ring", + "Ġal le", + "m itted", + "ro g", + "us ion", + "ĠL ike", + "Ġlos ing", + "Ġb illion", + "Ġwe ight", + "Ġconc ert", + "20 14", + "k es", + "se ason", + "ĠSw iss", + "l ast", + "Ġs ales", + "Ġt aught", + "t ing", + "il ation", + "Ġcre ation", + "Ġcond ition", + "Ġre duced", + "Ġm ess", + "ett ing", + "ĠViet nam", + "ĠN ick", + "Ġco aches", + "Ġdist ance", + "Ġthe atre", + "vi ation", + "Ġcomm ander", + "Ġpress ure", + "8 7", + "Ġresult ing", + "Ġw ild", + "Ġ192 7", + "Ġb al", + "Ġpre mier", + "or ship", + "Ġthere fore", + "Ġoff ers", + "ĠCO VID", + "0 5", + "ĠR on", + "itz erland", + "i ot", + "ĠInf antry", + "ĠProfess ional", + "ĠPort uguese", + "S T", + "Ġcap tain", + "200 3", + "ĠG ord", + "ĠRec ord", + "cl aim", + "ĠReg ional", + "Ġinstr ument", + "ĠS ix", + "Ġlo an", + "oc ated", + "ĠTh rough", + "ĠT an", + "Ġ19 12", + "p ur", + "Ġsp ons", + "4 1", + "ĠAm ong", + "Ġsec ret", + "20 15", + "ĠSim on", + "ĠUk rainian", + "ĠA st", + "ĠB eng", + "ĠSe le", + "Ġt im", + "ĠT reat", + "m es", + "Ġtw ice", + "Ġauthor ities", + "ĠAl b", + "ĠH and", + "Ġrec ently", + "al ing", + "Ġarrest ed", + "ĠF inn", + "Ġsurn ame", + "V D", + "Ġ193 1", + "4 2", + "ad s", + "Ġstr ugg", + "ict ional", + "orn ey", + "h o", + "ĠN ik", + "Ġyoung er", + "Ġform ation", + "p a", + "I C", + "ĠN CAA", + "Ġpre p", + "Ġinj ury", + "ord in", + "Ġbeg ins", + "ĠL abor", + "um es", + "ĠAr men", + "i pe", + "Ġformer ly", + "Ġ192 2", + "ĠBul g", + "Ġra cing", + "ym n", + "0 7", + "Ġatt acks", + "Ġg raph", + "ĠH ans", + "ĠD rag", + "Ġvers ions", + "Ġw all", + "ĠGree ce", + "m iss", + "ĠI l", + "lah oma", + "ĠSt aff", + "0 6", + "Ġfin ish", + "ĠIsrael i", + "ĠAff airs", + "ĠPl an", + "Ġth ous", + "Ġsurround ing", + "Ġprov iding", + "ĠG er", + "ĠAn ne", + "ĠArch ite", + "Ġcrit ics", + "ĠPh ys", + "ay er", + "ĠSpace watch", + "Ġrest aur", + "Ġdis establ", + "b ra", + "os is", + "Ġc e", + "Ġser ious", + "0 8", + "m ont", + "re ll", + "ĠA ud", + "ĠRe al", + "Ġ192 1", + "ĠTok yo", + "ĠAl i", + "Ġvoc al", + "200 1", + "Ġt ree", + "Ġpat tern", + "as ion", + "Ġknow ledge", + "ĠBill board", + "p ool", + "ĠMill er", + "Ġ192 5", + "b i", + "ĠBe c", + "Ġshow ed", + "ĠK at", + "T C", + "ĠTr ust", + "Ġob tained", + "Ġstat istics", + "Ġc arri", + "ĠJac ob", + "Ġspl it", + "ĠN ap", + "Ġreg ions", + "Ġinte g", + "Ġ192 6", + "ann ing", + "ĠBet ween", + "og ue", + "ĠG ab", + "Ġp aid", + "ĠOr iginal", + "Ġrece ive", + "ain ts", + "ĠSw itzerland", + "ĠD omin", + "Ġl ibrary", + "inc oln", + "Ġtra ins", + "iv als", + "ĠMan chester", + "ograp her", + "g ro", + "ĠHol y", + "ĠP ict", + "ĠTh ird", + "ĠAl ab", + "Ġb ow", + "Ġf estival", + "ĠJan e", + "ru it", + "ĠEm peror", + "ĠAnd erson", + "Ġpro pos", + "p ri", + "or i", + "ĠSen ior", + "Ġnot es", + "ĠChrist mas", + "Ġc ells", + "ug al", + "Ġdesign ated", + "ĠOk lahoma", + "ĠBuild ings", + "Ġsp ring", + "og s", + "ĠServ ices", + "l ines", + "Ġn et", + "Ġsup pl", + "in y", + "Ġp ack", + "ĠR a", + "ill er", + "Ġl iber", + "ĠF ac", + "ĠCh ampions", + "20 16", + "Ġmay or", + "Ġim age", + "Ġke pt", + "Ġsugg ested", + "el ine", + "m un", + "Ġmark ed", + "ĠB rian", + "Ġclaim s", + "ific ations", + "Ġtw enty", + "Ġlaun ch", + "Ġtr ue", + "ĠT urn", + "ous es", + "Ġmanag ers", + "Ġreg ul", + "ĠPro te", + "ic ians", + "ĠK am", + "Ġh y", + "ĠB arn", + "Ġd ial", + "f ef", + "ĠA le", + "Ġconfl ict", + "Ġveh icles", + "Ġpain ter", + "ĠChild ren", + "ĠL ar", + "Ġent ry", + "Ġinsp ired", + "ĠLem mon", + "Ġfig ures", + "200 2", + "Ġ192 3", + "Ġh all", + "ĠP oint", + "Ġsp irit", + "Ġre ports", + "Ġ19 16", + "Ġexper iment", + "ate ur", + "4 9", + "Ġsup ply", + "ĠD ue", + "Ġm ales", + "Ġsix th", + "Ġhead quarters", + "ĠN aval", + "Ġb ott", + "ĠFr ont", + "and y", + "ĠRe ception", + "Ġro yal", + "Ġcontin ues", + "Ġconne cted", + "1 00", + "ĠMc G", + "ro om", + "Ġw ins", + "ĠF ord", + "Ġsh op", + "Ġtra ffic", + "Ġd ensity", + "Ġg ives", + "ĠF il", + "ubl in", + "8 9", + "oot h", + "ĠK y", + "4 3", + "Ġport ray", + "N ew", + "ĠR un", + "ĠPr in", + "Ġ19 15", + "fef efe", + "qu es", + "Ġsl ight", + "ch a", + "ri p", + "Ġjud ge", + "Ġmaterial s", + "Ġact ually", + "Ġn ortheast", + "Ġthem e", + "ly wood", + "al so", + "ok ing", + "E R", + "Ġpart ner", + "Ġa im", + "Ġ7 5", + "; \"|", + "20 17", + "oth s", + "Ġop position", + "Ġcomp on", + "ĠP op", + "rat or", + "ĠAlab ama", + "ĠLab our", + "ĠHow ard", + "Ġpromot ion", + "Ġsucceed ed", + "Ġpur pose", + "Ġcl imate", + "ĠBas ketball", + "ĠAlbum s", + "ĠL ow", + "ol ished", + "u ous", + "ĠR ose", + "r in", + "ene z", + "ĠF ame", + "ĠL incoln", + "Ġte aching", + "ĠI V", + "ro it", + "Ġgre ater", + "ĠHam ilton", + "ĠE ric", + "ĠSing les", + "v ens", + "ĠN ative", + "Ġtri ed", + "ĠL ieutenant", + "Ġcompet itions", + "Ġet c", + "6 7", + "Ġfac ility", + "A A", + "ĠPl ot", + "ĠB attalion", + "ĠT el", + "l an", + "Ġallow ing", + "ional ly", + "l ife", + "ĠMiss iss", + "Ġb att", + "b ot", + "ĠB urn", + "ĠSur vey", + "Ġt alk", + "Ġpres erv", + "Ġs ays", + "ĠAust rian", + "ĠDou gl", + "off s", + "ĠK az", + "ĠY outh", + "0 1", + "Ġmusic ian", + "ĠN ich", + "ecut ive", + "ĠS n", + "ĠMar ine", + "Ġacc ident", + "ag u", + "ik h", + "hes s", + "Ġ4 2", + "Ġc ert", + "ĠFor ces", + "Ġsc ript", + "Ġvis it", + "wh ich", + "ipp i", + "ed ing", + "Ġhistor ian", + "e ast", + "Ġto wer", + "Ġsing ers", + "Ġpublic ation", + "Ġscient ific", + "ur ance", + "Ġt ells", + "Ġ @", + "ĠCh annel", + "ĠMount ains", + "Ġcan not", + "u v", + "ĠDes cription", + "ord an", + "Ġreturn ing", + "Ġgrow ing", + "Ġexist ing", + "ĠExp atriate", + "Ġf ully", + "ĠLoc al", + "ctic ut", + "ĠHar vard", + "achel or", + "ĠBuild ing", + "ĠArgent ina", + "Ġp le", + "Ġappl ied", + "Ġsl ow", + "Ġp air", + "ure au", + "Ġle tt", + "Ġsit uation", + "Ġal one", + "ĠCur rent", + "ad i", + "Ġm om", + "ut her", + "20 18", + "ĠHon or", + "Ġall ows", + "rel ated", + "st ic", + "Ġmag n", + "id ge", + "Ġa ired", + "ĠTem ple", + "olog ists", + "Ġmet res", + "Ġd raft", + "Ġop pos", + "Ġsp ot", + "ĠC ost", + "ĠN ow", + "d am", + "ĠPri x", + "st an", + "Ġfight ing", + "ĠW olf", + "in th", + "ĠD om", + "ĠM it", + "f inals", + "ist ry", + "Ġm ut", + "ĠR oll", + "ĠG ram", + "5 7", + "Ġy ellow", + "Ġc art", + "is er", + "ĠPro t", + "ĠMor ris", + "Ġd iplom", + "' .", + "w ich", + "Ġmeas ure", + "ard o", + "Ġsit uated", + "D on", + "Ġs uit", + "Ġun ique", + "Ġm ap", + "ial s", + "Ġ19 13", + "ĠA uthor", + "Ġsaf ety", + "ĠConne cticut", + "ĠSt one", + "Ġs ons", + "Ġbrother s", + "ĠAnth ony", + "20 19", + "Ġpr int", + "ast e", + "Ġad vanced", + "ĠL as", + "ĠJ am", + "Ġw ant", + "Ġe arth", + "Ġmain tain", + "Ġhe av", + "ol as", + "ĠHistor ical", + "ĠN ag", + "or gan", + "Ġgu est", + "clud ing", + "Ġfe et", + "ingu ished", + "ĠL ank", + "ĠSec urity", + "ĠCol omb", + "ĠB rand", + "igen ous", + "ĠJ ay", + "Ġold est", + "Ġag ent", + "ĠPat rick", + "eral d", + "ch i", + "ĠTai wan", + "Ġhand s", + "Ġclass es", + "on om", + "ĠSt ory", + "ĠQue bec", + "at al", + "out s", + "ĠSil ver", + "ell o", + "est er", + "ĠK arl", + "Ġs ides", + "h ol", + "Ġb ill", + "Ġly rics", + "ĠN FL", + "s ort", + "Ġchart s", + "c ont", + "ĠD ur", + "Ġfl ood", + "ĠSund ay", + "ĠW ell", + "ant on", + "ĠC ulture", + "Ġgo es", + "Ġnar row", + "Ġth ings", + "Ġv ice", + "ĠEr n", + "Ġl ot", + "ĠN a", + "ĠMag azine", + "ĠJu an", + "Ġh orse", + "ĠR ural", + "Ġch osen", + "j oy", + "Ġp un", + "ĠT ar", + "ĠL in", + "inem a", + "Ġg all", + "ĠV is", + "Ġar ms", + "Ġme ant", + "at us", + "6 8", + "ĠP ot", + "Ġset s", + "Ġloc omot", + "Ġtem ple", + "os lav", + "Ġex change", + "im ens", + "ĠC ensus", + "ĠN on", + "ress ion", + "ĠBec ause", + "ĠHou ston", + "Ġr isk", + "ĠW y", + "d ied", + "Ġcor por", + "ĠH un", + "Ġe as", + "ĠH amp", + "ĠLouis iana", + "Ġs ail", + "Ġth ir", + "ĠBrig ade", + "Ġport ion", + "Ġcommission ed", + "Ġpro ceed", + "z z", + "y ers", + "Ġal t", + "ĠDie go", + "ĠN Y", + "Ġsugg est", + "ĠLiber al", + "z en", + "Ġchall eng", + "h r", + "val ue", + "Ġb ought", + "Ġprincip al", + "Ġauthor ity", + "Ġ19 11", + "ra it", + "ig ration", + "Ġn ob", + "Ġro ll", + "l ades", + "Ġf olk", + "ĠF ellow", + "ĠT un", + "Ġcomplet ely", + "Ġneighbor hood", + "Ġachie ved", + "Ġs outheast", + "Ġanim als", + "ĠAll en", + "Ġre ference", + "Ġhold s", + "Ġcust om", + "ĠBelg ium", + "ĠLt d", + "el ve", + "ĠD ream", + "ĠSever al", + "ĠCh all", + "ĠH ockey", + "ĠAb out", + "Ġgl obal", + "pect s", + "ĠC emetery", + "ĠR ace", + "199 9", + "Ġref used", + "d es", + "Ġprote ction", + "bo x", + "ĠV in", + "S e", + "ĠK u", + "ĠPu erto", + "am ing", + "ĠTod ay", + "Ġexhib ition", + "ĠB ry", + "ag er", + "und er", + "o es", + "uc cess", + "Ġappro ved", + "ĠAmerican s", + "Ġattempt ed", + "5 1", + "Ġrap id", + "j o", + "Ġint ers", + "Ġ4 8", + "ĠS in", + "au x", + "ĠV ice", + "Ġcont ain", + "Ġveh icle", + "Ġsett led", + "Ġt ennis", + "Ġsoc cer", + "Ġsy m", + "Ġf ans", + "Ġa ctions", + "ĠP ap", + "Ġcre ating", + "ĠG ib", + "ĠGord on", + "ĠHung arian", + "Ġad vert", + "Ġ4 1", + "ĠDet roit", + "Ġl ake", + "Ġvis ited", + "ĠDougl as", + "6 4", + "Ġdef ined", + "ĠLegisl ative", + "if ically", + "Ġend ing", + "ĠPort ugal", + "ind er", + "Ġnecess ary", + "ĠAnton io", + "Ġcomb at", + "ress ed", + "Ġf air", + "iam i", + "pr ise", + "Ġattack ed", + "I T", + "ĠTer rit", + "c ar", + "rid ges", + "ĠDen mark", + "iv a", + "ag en", + "ĠHer itage", + "ĠP ed", + "ivers ary", + "Ġpil ot", + "S R", + "are n", + "Ġsim ply", + "ac hers", + "Ġrece iving", + "ĠPlay er", + "ĠMississ ippi", + "Ġaud ience", + "b ar", + "Ġ190 8", + "Ġconsist ed", + "Ġcont aining", + "ĠS el", + "t i", + "Ġag ed", + "Ġoper a", + "Ġadv ance", + "ur i", + "Ġres ources", + "Ġst orm", + "Ġfound ing", + "Ġun able", + "um a", + "ĠN ar", + "Ġdirect ors", + "ou red", + "ĠBang lades", + "ĠA D", + "ĠT rib", + "ĠIslam ic", + "Ġmethod s", + "ĠM and", + "Ġrepresent ative", + "ĠO ak", + "secut ive", + "ĠEn vironment", + "Ġexp ansion", + "Ġrepresent ing", + "Ġfl ow", + "ĠA C", + "Ġvol ume", + "Ġcons um", + "g or", + "Ġsubsequ ent", + "Ġd aily", + "Ġinh abit", + "Ġactress es", + "ĠOffic er", + "Ġloc ations", + "Ġproper ties", + "ĠFreder ick", + "ĠSam uel", + "Ġg od", + "Ġf ought", + "0 9", + "Ġattempt s", + "ag an", + "we et", + "ĠN atural", + "ĠB erg", + "Ġro of", + "Ġbro ke", + "Ġra in", + "ĠInd ependent", + "ĠAl an", + "Ġmach ine", + "gh an", + "Ġte le", + "Ġsim ple", + "ist a", + "ĠD al", + "en h", + "ĠF ern", + "Ġtre es", + "ĠS ky", + "ag ues", + "ĠEx press", + "Ġsched uled", + "ris is", + "le ts", + "Ġv ent", + "ĠR ivers", + "Ġfrequ ently", + "Ġresp ond", + "ĠIn formation", + "ĠR ab", + "ĠMus ical", + "Ġsh ared", + "p o", + "Ġb urn", + "ab ad", + "ĠB an", + "Ġretire ment", + "im ents", + "ĠPit ts", + "Ġcandid ates", + "ĠM aur", + "ile y", + "Ġw ear", + "Ġex clus", + "ĠWh it", + "Ġj azz", + "Ġop pon", + "Ġst ock", + "Ġ ;", + "in er", + "ĠR oc", + "P A", + "ĠY our", + "P S", + "5 2", + "ĠCl ark", + "ĠAnd re", + "Ġmem ory", + "5 3", + "os ed", + "Ġpie ce", + "Ġs pect", + "d on", + "Ġconver ted", + "Ġrel atively", + "an ia", + "Ġdr iver", + "Ġsom ething", + "ĠWel sh", + "a ctions", + "Ġstra ight", + "Ġch ampions", + "Ġliter ary", + "Ġpresident ial", + "Ġqual ified", + "Ġeffect ive", + "ĠPh ill", + "ĠJ ordan", + "Ġcop ies", + "Ġdef in", + "Ġg uns", + "5 4", + "ig ation", + "Ġunder st", + "us es", + "Ġm is", + "Ġwin ter", + "stitut ional", + "ĠB ird", + "Ġl it", + "ĠP un", + "ĠU N", + "l ong", + "ĠL I", + "ĠD h", + "ĠK a", + "ĠEx ecutive", + "Ġch urches", + "Ġ3 00", + "ie val", + "Ġm orning", + "Ġdr ive", + "Ġult imately", + "enn y", + "ĠAl ban", + "Ġinc ident", + "ip ients", + "n i", + "op ter", + "ĠB ou", + "ĠDo ctor", + "o en", + "Ġin aug", + "Ġgirl s", + "r um", + "ĠIndones ia", + "Ġfoc used", + "ĠIn ternet", + "Ġapp oint", + "Ġdrop ped", + "ĠA ge", + "Ġpol ic", + "Ġtr ust", + "Ġdom estic", + "Ġres c", + "Ġoccup ied", + "ĠHot el", + "Ġdef ense", + "Ġc overs", + "Ġend s", + "8 4", + "ĠG ard", + "Ġf aced", + "ĠM iami", + "ud i", + "ĠVill age", + "Ġperform ing", + "in burgh", + "ent ed", + "g ment", + "Ġshort ly", + "ĠComp et", + "Ġneg oti", + "ĠL am", + "ĠE ag", + "Ġcateg ory", + "Ġr ang", + "ĠC ricket", + "Ġent itled", + "Ġprof ile", + "ĠBo x", + "od ox", + "ĠSchool s", + "f all", + "Ġalle ged", + "ph as", + "ĠSqu are", + "ĠAdminist ration", + "o a", + "az a", + "l ad", + "Ġrecogn ition", + "ĠC ultural", + "ord ers", + "Ġ4 6", + "Ġcon secutive", + "w ise", + "Ġop posed", + "A M", + "0 4", + "U S", + "Ġre ar", + "ĠD ave", + "Ġa st", + "ĠU C", + "Ġch o", + "Ġse em", + "an es", + "ig e", + "Ġh arm", + "Ġprot est", + "ĠPri or", + "ĠPal est", + "stru cture", + "al ty", + "ĠF und", + "Ġ iron", + "ĠK ey", + "Ġsett ing", + "Ġcons ult", + "Ġtouch down", + "Ġ4 3", + "ĠC all", + "Ġdec or", + "ĠVill ages", + "Ġlearn ing", + "ĠIm perial", + "ĠK er", + "ĠD ak", + "ffic ient", + "og en", + "Ġin ternal", + "ik i", + "Ġident ity", + "ĠD ublin", + "199 8", + "ĠAcadem ic", + "ud get", + "ĠB ureau", + "Ġhe ight", + "Ġs um", + "Ġkill ing", + "Ġinvestig ation", + "or ough", + "ĠP ope", + "ĠF arm", + "p ret", + "Ġmic ro", + "Ġact s", + "Ġperman ent", + "ful ly", + "Ġmax imum", + "Ġ189 0", + "ĠOr th", + "Ġair port", + "aw n", + "ĠL anc", + "o ok", + "7 2", + "Ġpre par", + "ĠBudd h", + "en z", + "Ġgu ard", + "ĠD a", + "l ov", + "Ġb ul", + "d ale", + "Ġcon vers", + "Ġcontribut ed", + "Ġemploy ed", + "st ream", + "B l", + "ĠAthlet ics", + "Ġfield s", + "Ġ4 00", + "Ġhot el", + "ĠM ach", + "ĠPro f", + "Ġappl ication", + "ĠUp on", + "ĠOn ly", + "or ia", + "ĠMo ore", + "sc ape", + "ĠPr iv", + "Ġlett ers", + "m it", + "Ġlaw yer", + "Ġcorn er", + "20 20", + "ĠStud ios", + "ĠL ast", + "ac ent", + "\" ),", + "5 9", + "ĠI S", + "Ġhe ro", + "Ġenvironment al", + "ow nt", + "ay an", + "ĠIn n", + "Ġk il", + "ĠTam il", + "Ġ4 9", + "7 4", + "Ġnorm al", + "Ġland s", + "Ġher self", + "ĠMr s", + "Ġpaint ings", + "Ġoffic es", + "ĠArk ansas", + "ĠD ark", + "Ġinst all", + "ot te", + "g ency", + "ĠF M", + "ail and", + "ĠS ud", + "ĠT ig", + "Ġdeterm ined", + "Ġon to", + "Ġeconom y", + "Ġs ust", + "a ver", + "G en", + "Ġre in", + "ĠD all", + "Ġviol ence", + "Ġs ense", + "ĠRober ts", + "ĠSh ar", + "Ġspe ech", + "ĠC ru", + "ĠMalays ia", + "ĠM em", + "Ġcolle cted", + "Ġtechn ical", + "Ġocc urs", + "Ġestablish ment", + "Ġmult i", + "Ġvir t", + "Ġro t", + "ĠCl in", + "Ġbe gin", + "Ġsy nt", + "ĠD C", + "8 1", + "ĠV enez", + "ĠF riend", + "Ġext ensive", + "ĠC er", + "ĠAn na", + "Ġaltern ative", + "ĠL ang", + "ĠDep uty", + "red ited", + "ĠMatt hew", + "ĠEd inburgh", + "ĠGl obal", + "Ġcomp ris", + "ic ts", + "Ġcomp ar", + "ĠHaw ai", + "ap pe", + "ĠC our", + "ĠE ner", + "ĠL ith", + "199 7", + "le ep", + "ĠB art", + "Ġmer ch", + "ĠL yn", + "ĠCommun ist", + "ĠF em", + "7 9", + "6 1", + "Ġim pr", + "ĠBel gian", + "ĠBow l", + "ĠN el", + "ra c", + "Ġenc oura", + "Ġs ay", + "Ġmerg ed", + "ww w", + "at ab", + "ol o", + "Ġs an", + "p oint", + "ĠD VD", + "Ġdo ctor", + "f e", + "se ud", + "ĠSt ew", + "7 1", + "le ase", + "vel and", + "ĠG arden", + "ĠPlay ers", + "Ġj ur", + "Ġhigh way", + "Ġpower ful", + "Ġsupport ing", + "ĠSing h", + "Ġpoet ry", + "Ġstri ke", + "ĠOr chestra", + "ol y", + "ĠKe vin", + "Ġdyn asty", + "Ġarran g", + "olle y", + "ill ing", + "GB T", + "Ġse ctor", + "iss ance", + "Ġc as", + "ĠFin land", + "Ġen joy", + "d i", + "Ġav oid", + "Ġcent uries", + "Ġst adium", + "ĠG ian", + "ĠC ow", + "Ġgen eration", + "ĠComm ander", + "ĠMay or", + "Ġo x", + "Ġexpress ed", + "Ġf ranch", + "ĠR ow", + "im ore", + "ĠM oon", + "Ġ190 9", + "ĠAlf red", + "Ġgl ass", + "ĠP ra", + "ograph ical", + "Ġf ashion", + "Ġres igned", + "Ġc reat", + "ad ow", + "ĠSc ient", + "ĠT it", + "d ie", + "Ġre ign", + "ĠD ick", + "S p", + "Ġhold ing", + "Ġpartn ership", + "20 21", + "Ġ190 5", + "8 3", + "Ġcontra st", + "Ġpat ients", + "ĠDon ald", + "Ġapp arent", + "Ġmat ter", + "Ġ190 6", + "Ġp and", + "0 3", + "ĠP a", + "ĠJoh ann", + "Ġplann ing", + "Ġa uth", + "Ġbe yond", + "D e", + "Ġr ing", + "ĠH ills", + "Ġdec re", + "Ġm and", + "ren a", + "ac he", + "inc orporated", + "eng ers", + "Ġ3 9", + "oy d", + "Ġsp ok", + "Ġm arg", + "ĠSh ah", + "Ġfin ishing", + "Ġph ase", + "Ġpie ces", + "our ney", + "Ġre asons", + "Ġabandon ed", + "n ote", + "Ġcerem ony", + "Ġen emy", + "ĠPro du", + "Ġf uel", + "Ġs ought", + "r ine", + "ĠG on", + "Ġweap ons", + "ĠHon ours", + "E A", + "ĠQ ual", + "Ġind ependence", + "ry st", + "Ġneed s", + "Ġval ley", + "' '", + "ĠFootball ers", + "ĠAlex and", + "8 2", + "Ġfun ctions", + "az ines", + "Ġvis ual", + "e qu", + "ism s", + "Ġinj ured", + "Ġk ick", + "st ead", + "Ġcast le", + "ĠW he", + "Ġsuccessful ly", + "ĠH unt", + "ĠLaw rence", + "Ġfail ure", + "Ġ190 7", + "Ġjun ior", + "Ġfl u", + "s et", + "ĠAtl anta", + "Ġeduc ational", + "ĠF u", + "Ġw alls", + "ram a", + "ĠR yan", + "f ound", + "Ġbro wn", + "Ġpra ised", + "Ġsec retary", + "ĠTh ailand", + "ic ide", + "ur ation", + "ĠG ri", + "ĠMont real", + "ra f", + "olog ies", + "ĠH ug", + "ist ant", + "ĠMic ro", + "Ġst ating", + "Ġfind s", + "ĠM ale", + "ob e", + "Ġr ival", + "Ġwrit e", + "ist ers", + "ia b", + "ĠWalk er", + "Ġcr iminal", + "Ġs ac", + "ĠT ourn", + "0 2", + "ĠLa ure", + "Ġm ind", + "f r", + "ĠE ven", + "Ġconstitu ency", + "ĠR ub", + "ĠThe n", + "Ġde ploy", + "ĠAl umni", + "ĠUt ah", + "Ġim pl", + "ĠN ob", + "bor ough", + "Ġslight ly", + "rom e", + "ĠL og", + "Ġinhabit ants", + "wh ile", + "cy cl", + "Ġeth nic", + "Ġconne ction", + "ĠMunicip al", + "ĠWh at", + "re ct", + "ap ted", + "Ġinv ited", + "Ġro ugh", + "Ġt ry", + "199 6", + "ĠAg ric", + "199 0", + "ĠL iga", + "Ġregard ing", + "Ġback ing", + "og y", + "alle l", + "Ġw ays", + "ĠE nt", + "Ġinv asion", + "Ġwe alth", + "Ġfund ing", + "Ġprov ision", + "ĠF al", + "Ġs and", + "ĠL GBT", + "f rom", + "Ġref ers", + "I N", + "Ġh ydro", + "ĠK ings", + "Ġprogram me", + "Ġf resh", + "f riend", + "ĠAf ghan", + "act ive", + "ĠRel ig", + "if ul", + "ĠCle veland", + "ĠN av", + "Ġste el", + "on i", + "ĠI ce", + "ĠArgent ine", + "Ġdevelop ing", + "Ġpol y", + "6 3", + "Ġvot ed", + "199 5", + "Ġh yp", + "ul es", + "Ġder ived", + "D P", + "Ġpri est", + "Ġord ers", + "ĠMc K", + "ant asy", + "che ll", + "ĠCh ampion", + "ĠN ep", + "Ġent rance", + "Ġtown ship", + "c ome", + "Ġrelig ion", + "R C", + "Ġad ult", + "Ġh ired", + "ĠL iver", + "I t", + "ĠMP s", + "ĠPitts burgh", + "Ġpublic ations", + "Ġam b", + "ĠP as", + "Ġpass enger", + "Ġtemper ature", + "Ġadv ant", + "ĠH op", + "ĠO w", + "ĠSy m", + "ĠY ug", + "Ġpass ing", + "ĠB oys", + "r un", + "ĠP ur", + "f ather", + "Ġpremier ed", + "ĠRog er", + "fect ure", + "ĠRes erve", + "ĠSt age", + "Ġcall s", + "ĠC hem", + "ĠP rom", + "n ia", + "Ġnucle ar", + "ĠM ission", + "h ard", + "ĠMarg aret", + "and o", + "iam ond", + "ĠMet ropolitan", + "Ġ190 4", + "Ġp owers", + "Ġm el", + "Ġin stru", + "ĠD igital", + "v ements", + "Ġcaus ing", + "ĠW ard", + "ele ction", + "B I", + "or age", + "ĠE qu", + "Ġequ al", + "ĠSerb ian", + "7 3", + "Ġcl in", + "ish ops", + "ĠA M", + "ot ic", + "ĠI ron", + "ours es", + "ĠOtt oman", + "ĠG ene", + "ĠG ran", + "z er", + "Ġres erve", + "ĠRoman ian", + "ĠPet ers", + "Ġgen era", + "Ġinvol ving", + "ĠL l", + "Ġd a", + "Ġd ates", + "ĠB eat", + "6 2", + "ĠY an", + "ĠDis ney", + "ap olis", + "Ġfund s", + "ĠL et", + "Ġbo at", + "Ġem phas", + "ĠRail road", + "Ġc row", + "ĠS ac", + "Ġbas ic", + "ĠHung ary", + "ĠF el", + "Ġg ar", + "Ġesc ape", + "\" ).", + "ĠRoman ia", + "ĠJes us", + "ut ies", + "Ġpass es", + "Ġ *", + "Ġsele ction", + "ĠCom ics", + "Ġdec ades", + "ĠVenez uel", + "ĠR ick", + "us al", + "ĠF ight", + "ĠN AS", + "Ġprote ct", + "ĠM ult", + "ust er", + "Ġfle et", + "Ġconclud ed", + "Ġv o", + "Ġcont ained", + "pos es", + "ĠI mp", + "ter m", + "Ġpand emic", + "Ġv arian", + "Ġinc orporated", + "b urn", + "ĠGirl s", + "Ġy our", + "ĠM es", + "Ġp ed", + "ĠTransport ation", + "Ġ5 2", + "clus ion", + "Ġcompet e", + "Ġb ishop", + "ĠR io", + "Ġcompos ition", + "Ġtra v", + "ĠFinn ish", + "Ġm art", + "ĠS C", + "Ġdo ing", + "ĠBu ff", + "m ers", + "Ġregist ered", + "ĠWh o", + "is f", + "a fter", + "ĠFlor a", + "on omy", + "Ġadv oc", + "m at", + "s ki", + "Ġinflu enced", + "Ġinst alled", + "ĠD ance", + "s ong", + "ang er", + "ĠF all", + "ĠIn vest", + "' m", + "ĠHol lywood", + "ĠMic hel", + "av ed", + "Ġc ru", + "ĠSe attle", + "ĠN eb", + "Ġr ise", + "Ġtransl ation", + "Ġrequ est", + "ĠGr ant", + "Ġsome one", + "oth ing", + "Ġ188 0", + "% .", + "Ġsh ape", + "Ġe mp", + "A P", + "ap es", + "h ing", + "Ġexist ence", + "Ġo vers", + "n ers", + "Ġw arn", + "n et", + "uk i", + "Ġworld wide", + "Ġjoin ing", + "re es", + "Ġl aid", + "ĠR y", + "n ight", + "ĠR ights", + "Ġa id", + "ra cy", + "or f", + "ograph ics", + "Ġobserv ed", + "ĠMet ro", + "II I", + "Ġarg ued", + "Ġform al", + "Ġsc enes", + "W e", + "Ġview s", + "Ġemploy ees", + "ĠN et", + "Ġw atch", + "Ġdet ails", + "z i", + "Ġp ione", + "Ġconsist ing", + "Ġexper ien", + "ĠV eg", + "Ġmain tained", + ") \"", + "ĠP rad", + "re te", + "ĠCam er", + "ĠDef ense", + "Ġhom es", + "ĠT ak", + "hemat ics", + "ĠBalt imore", + "ĠF ive", + "ri k", + "Ġprom ote", + "Ġb odies", + "ĠB ull", + "or ro", + "ĠOb last", + "Ġan th", + "el and", + "Ġeng aged", + "Ġan aly", + "ĠEner gy", + "Ġrecord ings", + "ownt own", + "ret t", + "Ġcar ry", + "Ġ190 3", + "Ġsup erv", + "ĠPubl ishing", + "c ia", + "Ġanim al", + "ĠSe ction", + "L C", + "ĠBru ce", + "Ġdr ivers", + "Ġs oci", + "Ġsol id", + "un ction", + "Ġbir ds", + "ĠMar ie", + "ĠAr n", + "ĠCh amber", + "Ġsc ale", + "Ġstart s", + "Ġanim ated", + "h ar", + "ĠG a", + "ĠS af", + "S c", + "ĠMor gan", + "Ġstat ement", + "Ġcricket ers", + "Ġt or", + "ĠU E", + "Ġacc used", + "ra structure", + "as a", + "Ġband s", + "Ġop in", + "6 9", + "ĠPal ace", + "ĠTh ough", + "Ġcon stant", + "ĠColon el", + "r ations", + "ĠA y", + "idd en", + "Ġheav ily", + "ĠK an", + "ĠF ried", + "ĠR acing", + "Ġsur vey", + "Ġp ull", + "Ġqu ant", + "O R", + "Ġn om", + "Ġ5 1", + "ĠRuss ell", + "bass ador", + "un c", + "emb le", + "ĠWrit ers", + "Ġch air", + "ol t", + "Ġre aching", + "ell i", + "ĠB uck", + "st ar", + "ĠH ere", + "Ġtra ined", + "ov o", + "ang el", + "Ġso le", + "ĠKn ight", + "Ġpl ot", + "ul ate", + "ĠR ot", + "ĠCl ar", + "Ġad vent", + "Ġprote in", + "le te", + "ur day", + "Ġt ropical", + "Ġ5 5", + "ol ph", + "ĠP ear", + "pect ive", + "ĠOper ation", + "Ġspec ifically", + "ect s", + "ĠKel ly", + "Ġfound ation", + "Ġstand ards", + "Ġb atter", + "Ġass ess", + "Ġext rem", + "l on", + "ond er", + "Ġt rying", + "Ġ190 2", + "Ġ190 1", + "Ġarch ae", + "Ġeff ic", + "Ġcom ic", + "od a", + "ival ent", + "ĠSoc cer", + "p ers", + "ĠPe ace", + "Ġaff ected", + "ĠCro wn", + "ĠLe v", + "ĠChrist opher", + "id el", + "Ġb an", + "ch t", + "Ġchem ical", + "Ġis lands", + "Ġun cle", + "ĠF A", + "erb ai", + "Ġag ency", + "ĠD yn", + "h op", + "ather ine", + "ĠEx t", + "Ġimport ance", + "=\" #", + "ĠR est", + "it als", + "Ġbehav ior", + "ĠV ik", + "Ġtw elve", + "Ġvol unte", + "ĠP ad", + "Ġt un", + "Ġcomp ut", + "Ġt end", + "ĠYug oslav", + "arg o", + "ĠBanglades h", + "ĠPrin cess", + "Ġexp ed", + "t hen", + "d o", + "Ġto ward", + "Ġimpro ve", + "it ations", + "ĠP atri", + "Ġs ale", + "Ġm ent", + "ĠAd vent", + "ann ed", + "t op", + "et ies", + "int end", + "Ġhe ard", + "ĠDe an", + "ĠCo le", + "ĠLe ban", + "Ġtransl ated", + "Ġw rest", + "I V", + "ĠBroad cast", + "Ġv ide", + "ĠDe ad", + "Ġreb u", + "ĠPerson nel", + "ĠR and", + "Ġobject s", + "ĠStud io", + "or us", + "ine a", + "Ġh air", + "ĠMed icine", + "ĠP y", + "ash i", + "ĠMunicip ality", + "Ġs ession", + "ĠStew art", + "199 4", + "ĠYear s", + "ir t", + "ĠR an", + "Ġintro duction", + "aught ers", + "Ġre ality", + "Ġshe ll", + "Ġreg iment", + "Ġeng ines", + "ĠE ver", + "ĠFI FA", + "Ġneg ative", + "Ġl at", + "Ġse venth", + "Ġrece ption", + "ĠGl as", + "Ġpaint ers", + "ĠM aj", + "us cript", + "go ing", + "Ġde leg", + "ĠC are", + "Ġdep uty", + "ĠVi enna", + "own ed", + "Ġres istance", + "ann y", + "Ġw eather", + "Ġstr ateg", + "Ġsecond s", + "Ġcollabor ation", + "ĠCE O", + "ud a", + "ĠK on", + "Ġlic ens", + "Ġth row", + "Ġa head", + "es c", + "ĠHamp shire", + "bo ards", + "Ġar med", + "com ing", + "Ġn ick", + "Ġ4 7", + "b r", + "Ġ ille", + "Ġ {", + "ĠS ign", + "ĠMar ket", + "Ġdescrib es", + "Ġposs ess", + "ĠO ri", + "Ġad apted", + "ĠTourn ament", + "ĠL en", + "wh ite", + "Ġrul ed", + "ĠL ib", + "ĠB ed", + "ĠAss oci", + "ĠNe v", + "ĠTr ade", + "g ow", + "Ġproduc ing", + "os m", + "Ġext ension", + "est yle", + "Ġm ole", + "Ġaccom pan", + "ĠLith uan", + "ĠAng l", + "umb ent", + "Ġdist inct", + "ĠT rad", + "Ġz one", + "Ġbrief ly", + "D A", + "uss ion", + "ĠMe an", + "us hed", + "Ġd ivers", + "Ġp rice", + "Ġprov ed", + "Ġfact ory", + "ĠNel son", + "am ic", + "Ġ ri", + "ĠP sych", + "ĠG ill", + "le vel", + "Ġcall ing", + "C l", + "am an", + "ĠAz erbai", + "ĠE ston", + "ĠH orn", + "Ġdivision s", + "em en", + "Ġ ere", + "Ġentire ly", + "Ġpri ze", + "Ġste am", + "ĠPh ot", + "ĠO ur", + "Ġmar ine", + "ĠA T", + "ĠCamp bell", + "Ġcompos ers", + "Ġrev olution", + "ĠDall as", + "ĠLiver pool", + "Ġex erc", + "ink ing", + "Ġim ages", + "Ġle ct", + "M ar", + "ĠMain e", + "ĠSup port", + "Ġg ain", + "Ġclos ely", + "Ġup d", + "ĠConserv ative", + "aval ry", + "olley ball", + "ĠCh airman", + "in cluding", + "ĠOn ce", + "in ian", + "ĠAthlet ic", + "Ġschol ars", + "b al", + "Ġres idence", + "ect ive", + "Ġagric ultural", + "ĠA rena", + "ĠEconom ic", + "ĠH end", + "ming ham", + "ĠD od", + "ĠThom pson", + "ĠCarl os", + "ell ite", + "am s", + "Ġr ating", + "Ġch ose", + "duc ing", + "199 3", + "ĠAust in", + "ĠSar ah", + "ĠD ra", + "Ġnorth west", + "ĠK ra", + "ic it", + "Ġcaus es", + "Ġappl ications", + "ĠJim my", + "ah n", + "Ġdist in", + "Ġed ited", + "Ġinter ior", + "as ka", + "ov ation", + "ĠE very", + "Ġp ages", + "d y", + "Ġcontribut ions", + "Ġide as", + "Ġac id", + "ĠEp is", + "ĠNor man", + "ab y", + "ĠC hen", + "ĠF ood", + "Ġsur g", + "ĠM ethod", + "ĠAll iance", + "Ġsh all", + "th m", + "ina e", + "ĠW right", + "Ġm ilit", + "Ġdoc uments", + "ĠCom ple", + "ĠH ell", + "un ch", + "Ġcolon ial", + "Ġre duce", + "il er", + "Ġloc ality", + "Ġent ertain", + "Ġsymb ol", + "Ġin form", + "Ġcop y", + "Ġpass engers", + "ĠOrth odox", + "Ġdo or", + "f inal", + "ĠKenn edy", + "Ġfl at", + "Ġlead s", + "ĠUE FA", + "Ġproduc ers", + "ĠR ain", + "ĠPl at", + "Ġed ge", + "Ġdis miss", + "ĠAg ency", + "Ġp up", + "Ġopportun ity", + "in ch", + "ate gy", + "20 22", + "Ġathlet es", + "Ġ189 8", + "Ġch oice", + "Ġem ot", + "Ġg arden", + "inn er", + "Ġrail road", + "Ġbelie ve", + "Ġcharg es", + "Ġ5 4", + "aut iful", + "Ġgradu ate", + "og ether", + "199 2", + "Ġc rown", + "ins ula", + "Ġroad s", + "Ġstreng th", + "ent ially", + "ĠR ud", + "ĠBe ck", + "ĠO m", + "ĠN ord", + "ir i", + "Ġregard ed", + "Ġtechn iques", + "Ġw itness", + "Ġposs ibly", + "ĠOper a", + "p erson", + "ĠE mer", + "ĠAdam s", + "ĠL ower", + "ph a", + "Ġcomp ilation", + "ĠBrook lyn", + "ult an", + "W est", + "ĠB omb", + "Ġdebut ed", + "Ġpro ced", + "Ġinter ests", + "rane an", + "ĠSen ator", + "Ġon es", + "ĠK it", + "am o", + "uc ks", + "v ia", + "ĠFrank lin", + "Ġg etting", + "Ġres ign", + "ĠAp p", + "ar us", + "ĠBern ard", + "Ġimpro ved", + "Ġre ally", + "ĠB illy", + "ĠG ulf", + "ĠD ub", + "ĠN ash", + "Ġm ist", + "ph ony", + "at ures", + "ĠDem ographics", + "Ġcomm itted", + "ĠSerb ia", + "et ime", + "h aps", + "Ġa er", + "Ġoper ate", + "Ġdist ributed", + "Ġf lying", + "Ġan cest", + "ĠCo oper", + "ĠVol ume", + "aw are", + "ĠPort land", + "ob a", + "or ial", + "ter ed", + "Ġref uge", + "ĠRob inson", + "ĠTr ump", + "ĠDak ota", + "ĠCat al", + "ĠCon stitution", + "Ġadj acent", + "el er", + "ĠN am", + "Ġparticip ate", + "a ire", + "Ġf ine", + "ĠLI NE", + "ĠBir mingham", + "Ġc ore", + "le e", + "Ġsing ing", + "ĠP ir", + "ĠH om", + "Ġa x", + "Ġint elligence", + "ĠStan ley", + "are st", + "ĠBrother s", + "ĠI van", + "in ate", + "p en", + "Ġfav our", + "ĠW restling", + "p ir", + "Ġcon vent", + "Ġus ers", + "Ġw aters", + "Ġen l", + "Ġ15 0", + "Ġ189 9", + "Ġval ues", + "Ġcont rolled", + "ug ar", + "Ġs am", + "Ġdam aged", + "ĠL ud", + "Ġground s", + "oc racy", + "Ġcle an", + "Ġob tain", + "y pe", + "ĠUp per", + "Ġqu ite", + "u ct", + "Ġh am", + "ish ment", + "ĠTra ining", + "ĠMot or", + "b ach", + "Ġb rig", + "ĠMur ray", + "Ġ187 0", + "fer red", + "ĠV ari", + "ĠW ol", + "Ġsurv ived", + "Ġdemon st", + "ĠCon struction", + "writ ers", + "ic ate", + "ĠW a", + "Ġan s", + "ĠV erm", + "Ġpro s", + "ĠRe port", + "Ġclass ification", + "ĠTe le", + "ĠSoc orro", + "ĠB ush", + "gr ade", + "Ġse ctions", + "Ġfranch ise", + "ĠCh ang", + "Ġphot ograph", + "ĠMarsh all", + "ĠLINE AR", + "Ġrepe ated", + "Ġsub stant", + "ĠGra ham", + "Ġcomb ination", + "Ġit ems", + "Ġf ly", + "Ġmeas ures", + "Ġdra wn", + "et a", + "Ġb udget", + "Ġdef ensive", + "ish ments", + "ĠB ud", + "Ġbro ken", + "Ġcon sequ", + "aly mp", + "att an", + "ĠColle ction", + "ĠA BC", + "omm od", + "i op", + "ĠD oc", + "Ġelect ronic", + "Ġbel ief", + "Ġdefe ating", + "Ġpre m", + "ok a", + "s ch", + "h u", + "Ġann iversary", + "ĠYou T", + "Ġunivers ities", + "Ġshoot ing", + "ĠG ary", + "ors es", + "Ġbene f", + "ĠSat urday", + "Ġex act", + "l ie", + "ĠJ azz", + "Ġphil osophy", + "ĠA qu", + "Ġtrans ition", + "ĠMad rid", + "ill o", + "Ġdesign s", + "t ic", + "ĠS yn", + "Ġimpr ison", + "ĠM ort", + "ĠCar ter", + "ĠCh and", + "Ġt ank", + "Ġjust ice", + "Ġstand ing", + "Ġearl iest", + "Ġgr ade", + "Ġsign al", + "ĠR u", + "ĠTax a", + "ĠPier re", + "d in", + "Ġh our", + "ĠIn s", + "ĠSec ret", + "Ġgood s", + "ĠPre fecture", + "Ġw orth", + "ĠS i", + "Ġmom ent", + "I s", + "om ing", + "Ġown ers", + "Ġl ists", + "Ġm ort", + "Ġcapt ure", + "Ġfe ed", + "ĠIran ian", + "Ġjud ges", + "el ess", + "Ġmed icine", + "Ġre jected", + "Ġcritic ized", + "Ġd ry", + "c ious", + "ĠV ic", + "ĠCar ib", + "ĠV ers", + "r m", + "ĠC ass", + "Ġfinal s", + "d ers", + "ĠL ane", + "apt ist", + "b ishop", + "ĠArt ists", + "Ġtri p", + "N e", + "atab ase", + "ĠR ap", + "Ġprov incial", + "Ġhum ans", + "ĠP C", + "Ġhtt p", + "Ġcharg ed", + "Ġ6 3", + "Ġneigh bour", + "Ġact ual", + "Ġdeliver ed", + "ĠI v", + "ak ed", + "r ons", + "Ġch ain", + "or er", + "het ic", + "H e", + "Ġactiv ist", + "b ridge", + "ut ation", + "Ġd ie", + "ĠY orks", + "Ġpur poses", + "E E", + "Ġbott om", + "Ġ( ).", + "Ġrele g", + "ĠDef ence", + "G A", + "Ġpar allel", + "M an", + "w all", + "Ġpre mi", + "Ġgr ant", + "Ġ189 6", + "Ġinter pret", + "Ġcan cell", + "Ġter ror", + "ĠAg ain", + "oc a", + "Gen eral", + "Ġsk ills", + "Ġshow ing", + "ĠD aily", + "P C", + "Ġst ores", + "Ġreg ularly", + "ĠTh us", + "Ġv eter", + "c oh", + "b at", + "p at", + "ĠLe ad", + "abl ed", + "i ac", + "ĠMov ement", + "Ġs ell", + "ĠPar alymp", + "ĠJohn ny", + "hib ition", + "Ġprison ers", + "Ġmed ium", + "ant ly", + "ce ived", + "ĠA ld", + "if er", + "ot es", + "Ġg ets", + "be an", + "Ġse ems", + "Ġis ol", + "ĠS ax", + "ĠJ ason", + "Ġqual ifying", + "et on", + "T S", + "ĠCat hedral", + "ĠT ot", + "Ġven ues", + "t own", + "Ġc ourses", + "Ġgreat est", + "ol ar", + "ĠG or", + "Ġoppos ite", + "Ġro utes", + "ĠN ad", + "Ġn aval", + "Ġbusiness es", + "ĠCy cl", + "ĠW ing", + "Ġpubl ishing", + "Ġdesign er", + "ĠMedal ists", + "F M", + "Ġ189 7", + "Ġvict ims", + "ĠBen j", + "it able", + "ol ly", + "ĠGu y", + "ĠSt ra", + "Ġpurch ase", + "Ġhabit at", + "Ġsouth west", + "Ġa ware", + "Ġsub urb", + "ĠW oman", + "h t", + "ĠNaz i", + "Ġlegisl ation", + "ĠOrgan ization", + "al ia", + "w right", + "iel der", + "ĠLank a", + "Ġtri es", + "over ty", + "iter ranean", + "Ġ189 5", + "199 1", + "l s", + "Ġstri p", + "Ġpers ons", + "I nd", + "ĠEgypt ian", + "ĠAddition ally", + "Ġfact ors", + "ĠYorks hire", + "Ġresident ial", + "ou ver", + "Ġe gg", + "Ġjournal ists", + "E S", + "Ġ5 6", + "le ased", + "ast ery", + "ĠN BA", + "Ġin sc", + "op eration", + "Ġd ies", + "ĠH ig", + "Ġfre edom", + "Ġb oys", + "Ġmet ers", + "Ġm ile", + "Ġh its", + "Ġstand s", + "ĠAp pe", + "Ġg ender", + "d r", + "Ġscient ists", + "P ro", + "y ll", + "Ġmin ute", + "mer ce", + "ĠA R", + "Ġw ounded", + "x ual", + "Ġbusiness man", + "Ġhe at", + "Ġadm itted", + "r ong", + "Ġr ivers", + "Ġt ack", + "Ġadvant age", + "ĠT ob", + "ace ae", + "ol ia", + "Ġ5 3", + "Ġexam ples", + "ĠBe g", + "ĠM ack", + "Ġatt ached", + "ĠNiger ia", + "Ġarran ged", + "t ure", + "Ġkn ock", + "am ents", + "ĠR ico", + "le ans", + "ĠWind ows", + "Ġt ur", + "ĠAuthor ity", + "Ġdr iving", + "Ġm emorial", + "Ġh ill", + "ĠK um", + "Ġc risis", + "Ġal leg", + "h ai", + "ĠCap ital", + "Ġdev ice", + "Ġmot ion", + "ĠCo ok", + "Ġcy cle", + "' re", + "ĠSer ge", + "res ents", + "ĠWeb site", + "ip h", + "Ġdesc ription", + "ĠLiter ature", + "ĠTro phy", + "ĠF ull", + "Ġcost s", + "ĠI an", + "ĠGh ana", + "f iction", + "Ġcommun ication", + "Ġacc ommod", + "Ġst ages", + "um in", + "N C", + "Ġstre ets", + "Ġsy nd", + "ĠM oths", + "ĠGu ide", + "Ġs ave", + "Ġwh y", + "ĠEv ans", + "ĠPar ish", + "Ġeas ily", + "Ġro b", + "or ce", + "O C", + "Ġsequ ence", + "Ġcred ited", + "v ant", + "end ment", + "ĠGr ay", + "ĠH as", + "Ġs uff", + "Ġcl imb", + "Ġd uty", + "ĠGr ade", + "as ure", + "Ġsub mar", + "Ġdec ade", + "l ow", + "Ġm ine", + "Ġr ich", + "Ġrest rict", + "Ġdeterm ine", + "Ġfa ith", + "as i", + "198 0", + "se a", + "Ġstar red", + "Ġro oms", + "ĠDer by", + "ĠS r", + "Ġcomm une", + "M P", + "- -", + "ĠElect ric", + "Ġk id", + "Ġcour ts", + "ĠEle mentary", + "Ġprote cted", + "ĠNot e", + "Ġg ang", + "Ġtyp ical", + "ia h", + "ĠH um", + "Ġmembers hip", + "ot hes", + "Ġren ew", + "ĠRich mond", + "Ġf er", + "Ġpain ted", + "a uty", + "Ġdem and", + "Ġcom ed", + "ĠGlas gow", + "ay ed", + "rap y", + "Ġs ki", + "ĠOr leans", + "Ġmy th", + "ĠU g", + "Ġass umed", + "Ġret ained", + "Ġa f", + "ĠCon vention", + "ĠMed iterranean", + "e enth", + "Ġb ond", + "Ġrun ner", + "ie ce", + "Ġh unt", + "Ġcirc um", + "b ul", + "Ġre action", + "Ġassist ance", + "Ġthe ater", + "ĠPrim ary", + "Ġoper ates", + "pro fit", + "Ġrest ored", + "ĠJ ama", + "ĠE ug", + "r ant", + "Ġaccompan ied", + "Ġnick n", + "ĠL ad", + "m und", + "Ġmin ing", + "Ġinvest ment", + "ĠF oot", + "Ġp ool", + "oh n", + "ĠJud ge", + "ĠMil an", + "Ġoff ensive", + "ch o", + "Ġte en", + "Ġf an", + "ĠM ond", + "ĠS S", + "ĠM ap", + "op al", + "ĠBor ough", + "Ġc ited", + "ĠUr ban", + "ĠBar ry", + "ĠCrit ical", + "ĠT u", + "Ġfl o", + "ann els", + "Ġvide os", + "Y ou", + "s er", + "ĠPublic ations", + "m ith", + "ĠConf eder", + "c ussion", + "ĠDisc ography", + "ĠFle et", + "ĠChall enge", + "ĠHind u", + "ĠSpec ies", + "ĠF ather", + "ĠC her", + "il st", + "198 9", + "Ġcon text", + "a ired", + "Ġ5 7", + "ĠMu ham", + "ter y", + "Ġp ian", + "Ġrep resents", + "Ġse ed", + "Ġut il", + "ĠTig ers", + "ĠP av", + "c op", + "Ġf est", + "ĠSal v", + "ĠWay ne", + "Ġb rain", + "Ġnot ably", + "Ġexecut ed", + "Ġhead ed", + "ĠBroad way", + "Ġf ra", + "Ġd oll", + "R S", + "ĠW W", + "ĠK ath", + "ran g", + "ick et", + "ĠThe ater", + "ĠFran ces", + "C D", + "cycl op", + "Ġexperien ced", + "Ġc ous", + "on ian", + "Ġret ail", + "ac c", + "Ġnewsp apers", + "Ġadv is", + "Ġb ed", + "d oor", + "Ġf ired", + "ĠAnd y", + "Ġst ood", + "ĠM i", + "iv ated", + "ĠAct ress", + "Ġ189 3", + "ĠPict ures", + "Ġchall enge", + "Ġman uscript", + "Ġpolic ies", + "Ġpr ime", + "Ġgr ass", + "Ġ6 2", + "Ġs ed", + "is hers", + "ĠH old", + "ĠSele cted", + "Ġcolle ctions", + "Ġd ating", + "re c", + "Ġ186 0", + "ĠPrad esh", + "Ġc aught", + "ak u", + "Ġreturn s", + "or row", + "Ġsepar ated", + "o i", + "Ġlook ing", + "edd ing", + "ĠF ace", + "Ġcar rying", + "Ġin fl", + "Ġj ump", + "th a", + "ĠV as", + "Ġher itage", + "Ġdou b", + "Ġcon qu", + "i ation", + "ĠB aker", + "Ġra cial", + "I P", + "k ov", + "c ular", + "in ter", + "Ġs elling", + "ĠPolit ics", + "Ġt ail", + "Ġform ally", + "g ie", + "ĠPh oen", + "Ġconcern s", + "ĠR ena", + "Ġb ran", + "Ġr hy", + "ĠWar ren", + "ĠCent ury", + "ĠN ever", + "Ġuns uccess", + "ows ki", + "Ġw ings", + "ot an", + "ĠF rid", + "ĠH it", + "Ġstop ped", + "Ġass ault", + "P h", + "ĠYouT ube", + "ĠP il", + "Ġele ctoral", + "ĠFl ore", + "ĠV el", + "ĠBl ues", + "ĠM ong", + "uk a", + "ĠPer u", + "ac on", + "Ġ189 4", + "c hers", + "Ġ188 9", + "ĠB rist", + "ĠL ov", + "Ġkil omet", + "ĠD J", + "ĠGab ri", + "ĠN at", + "ĠSe ven", + "ra ge", + "Ġde st", + "Ġn or", + "ĠMit chell", + "R e", + "ĠCharl ie", + "ĠJ osh", + "ul u", + "Ġf iled", + "ec ution", + "ĠF act", + "ĠDel hi", + "ie ge", + "ĠBenj amin", + "Ġrestaur ant", + "y les", + "att ers", + "Ġd uties", + "ras ka", + "Ġast ron", + "ĠRang ers", + "Ġcar bon", + "ro c", + "Ġ189 2", + "Ġe ye", + "ĠA er", + "ind ing", + "Ġun iform", + "ĠM other", + "ĠMon te", + "Ġv aria", + "Ġatt ract", + "ĠSlov ak", + "Ġinstr uments", + "Ġt all", + "Ġmag azines", + "lo ad", + "amp s", + "Ġend emic", + "op les", + "is d", + "ĠA S", + "ĠR al", + "ĠLim ited", + "it ime", + "ĠR av", + "ĠC art", + "Ġsom ew", + "Ġsignificant ly", + "ĠL anguage", + "Ġin her", + "ĠM ans", + "ĠG un", + "ok ed", + "ĠC ase", + "ĠMan h", + "ĠPol y", + "ten ance", + "anc ouver", + "Ġshe l", + "j ab", + "Ġguitar ist", + "Ġcoast al", + "Ġadapt ation", + "Ġlin k", + "Ġnot hing", + "Ġcolle ges", + "Ġsever e", + "ĠB und", + "ĠB enn", + "Ġarr ival", + "ĠQu arter", + "ĠM all", + "ĠN orm", + "ĠComp anies", + "ĠM ess", + "Ġdemon str", + "orn e", + "Ġth ick", + "m aster", + "Ġpre ced", + "Ġcritic ism", + "Ġleg end", + "ĠR ic", + "ĠHawai i", + "Ġtest ing", + "p age", + "Ġdeg rees", + "ĠNov a", + "ĠNev ada", + "ĠGu inea", + "ĠColomb ia", + "Ġown ership", + "Ġwind ows", + "ĠTown s", + "forman ce", + "ar an", + "aw ay", + "Ġb at", + "ĠNep al", + "Ġexpress ion", + "H S", + "igg est", + "Ġequ ivalent", + "Ġrom antic", + "Ġb rick", + "Ġrespons ibility", + "Ġbring ing", + "or iginal", + "Ġob l", + "eg et", + "Ġin stitution", + "Ġexpl os", + "ĠN ation", + "ut ions", + "Ġ1 20", + "Ġcol our", + "ĠB urg", + "ĠCon n", + "Ġus er", + "ĠVo iv", + "le ton", + "h ab", + "ĠZ e", + "ĠAnd r", + "as hed", + "Ġmed als", + "ok er", + "ĠAlbert a", + "ĠNeb raska", + "Ġchampionship s", + "ĠM ak", + "Ġinc orpor", + "ĠB achelor", + "Ġorgan isation", + "Ġpo ets", + "id ency", + "Ġd aughters", + "Ġdep end", + "l ock", + "ĠWar ner", + "Ġpract ices", + "Ġfl ower", + "c ount", + "gress ive", + "usal em", + "N o", + "Ġlearn ed", + "ph an", + "Ġpo em", + "Ġfl owers", + "Ġsuccess or", + "he me", + "Ġco ordin", + "Ġother wise", + "ĠBarb ara", + "ĠSc hed", + "Ġmunicipal ities", + "ĠV lad", + "Ġ188 5", + "is ations", + "Ġvess els", + "Ġst orage", + "Ġsugg ests", + "ĠStand ard", + "ĠBuff alo", + "Ġin du", + "ĠPhilipp ine", + "ĠG rad", + "Ġfilm ed", + "ĠWeek ly", + "Ġunder standing", + "ph one", + "ship s", + "wh o", + "ast rop", + "ĠAl t", + "Ġreplace ment", + "ĠJ enn", + "Ġ189 1", + "bre ak", + "ĠCarib bean", + "ĠMin or", + "ĠHun ter", + "Ġh ur", + "o om", + "Ġwind ow", + "Ġcol span", + "odes hip", + "ĠT ower", + "Ġfact or", + "Ġch ance", + "ater n", + "ĠY e", + "i ya", + "p ower", + "Ġp hen", + "arm a", + "Ġw ave", + "ĠSpe ed", + "Ġlin ked", + "Ġcrow d", + "O N", + "il k", + "ĠF itz", + "ĠMuham mad", + "ĠU nt", + "Ġacc ur", + "Ġturn s", + "st ances", + "Ġmed ieval", + "Ġcross ing", + "ĠAl aska", + "ĠJon athan", + "le m", + "Ġprep ared", + "x ts", + "Ġclass ified", + "Ġrece pt", + "Ġdis appe", + "Ġcover age", + "D S", + "ĠP ant", + "ĠW ang", + "u y", + "Ġdif ference", + "Ġdi agn", + "ĠF ine", + "Ġpeak ed", + "M E", + "Ġhost s", + "elle ct", + "en ia", + "Ġcomm emor", + "st ad", + "Ġnomin ation", + "Ġsound track", + "Ġinter ested", + "Ġb anks", + "og le", + "n ik", + "ĠGre ater", + "Ġf rag", + "ĠJ ess", + "Ġ7 6", + "Ġauth ors", + "Ġoccup ation", + "ĠRe lease", + "Ġrec ip", + "rupt ion", + "ĠSt ars", + "ĠV ancouver", + "Ġt ied", + "Ġmon ument", + "ĠVictor ian", + "ĠCharl otte", + "av an", + "Ġdev ices", + "Ġm outh", + "ch ang", + "Ġdid n", + "ĠTechn ical", + "198 8", + "Ġartist ic", + "f are", + "ĠAp ple", + "ĠK os", + "ĠP A", + "Ġv eget", + "Ġf ictional", + "ĠL ate", + "Ġweek ly", + "ĠBeng al", + "ien cy", + "ĠProt est", + "ĠS aints", + "ĠUn it", + "ĠCon stant", + "ĠT ang", + "ĠRec ipients", + "ĠAm az", + "Ġinv ent", + "Ġthe ore", + "ĠA P", + "Ġcover ing", + "Ġens ure", + "Ġd anc", + "Ġm obile", + "ĠS um", + "Ġrec ru", + "Ġte achers", + "Ġland ing", + "Ġdesc end", + "Ġun us", + "Ġsubject s", + "ĠBl ood", + "ĠT ag", + "ĠH ud", + "ark ed", + "Ġ| }", + "ict ions", + "ant ine", + "Ġag encies", + "ĠAss istant", + "Ġfl ows", + "Ġparliament ary", + "Ġb iggest", + "anc ell", + "Ġchild hood", + "Ġ6 1", + "Ġass ass", + "ĠVoiv odeship", + "ĠAl ger", + "en burg", + "ar on", + "Ġas pects", + "ens es", + "ĠL uther", + "ĠHe b", + "ri x", + "ĠNich olas", + "ĠClass ic", + "Ġ ign", + "ĠDef unct", + "ĠChart s", + "ĠL ore", + "ot ype", + "ĠAl ice", + "ĠSt re", + "ĠOn line", + "198 7", + "Ġart illery", + "ik o", + "A m", + "Ġs un", + "ĠP le", + "Ġc old", + "ĠFil ip", + "ourn als", + "Ġp od", + "ric ane", + "Ġexper t", + "er ia", + "Ġde pos", + "Ġstr uck", + "ĠC hel", + "Ġsquad ron", + "m osp", + "iv ia", + "Ġmanufact uring", + "ĠInd ians", + "ĠF ab", + "ĠSte el", + "ĠP ast", + "ĠEx per", + "Ġcount ies", + "ĠUl t", + "Ġpopular ity", + "ou stic", + "an im", + "Ġ188 8", + "Ġminist ers", + "ĠGri ff", + "g ov", + "Ġstay ed", + "Ġv ary", + "ĠDist ribution", + "ĠBrist ol", + "ess ions", + "oc ol", + "Ġc up", + "iv an", + "ĠLu is", + "ĠS umm", + "Ġhistor ians", + "ĠO range", + "Ġelim inated", + "Ġforest s", + "Ġs ort", + "force ment", + "Ġass embly", + "E ng", + "ĠF ish", + "Ġd og", + "f olk", + "f ers", + "id ad", + "ĠFac ulty", + "j u", + "Ġappro pri", + "ounc ill", + "ĠC ode", + "ĠS id", + "ĠAfghan istan", + "Ġclass ic", + "ur u", + "ĠP in", + "Ġro se", + "Ġp apers", + "old s", + "Ġre ferences", + "ue z", + "ĠSt orm", + "Ġdisestabl ished", + "Ġgen e", + "sh aped", + "Ġaccom pl", + "in ations", + "ĠJer usalem", + "Ġeven ing", + "Ġlocomot ives", + "Ġd ated", + "Ġele ment", + "ĠPark er", + "ĠMor oc", + "ĠD NA", + "il ia", + "Ġhead s", + "Ġpict ure", + "ĠT ol", + "ĠAp pl", + "Ġsc heme", + "ĠC inc", + "h us", + "Ġm anga", + "oth y", + "og a", + "M C", + "Ġd im", + "b el", + "Ġch annels", + "Ġinf rastructure", + "ĠAdm iral", + "ĠM ind", + "Ġ5 8", + "ĠSm all", + "Ġl es", + "Ġche ck", + "Ġf ram", + "Ġrequire ments", + "Ġgradu ating", + "Ġ id", + "Ġf alls", + "ĠS R", + "Ġor chestra", + "Ġappoint ment", + "ĠMean while", + "ĠK ap", + "h and", + "ĠU nd", + "Ġ vert", + "ĠSa udi", + "ĠM aced", + "Ġt ie", + "st ory", + "ĠN i", + "Ġsynt hes", + "ann er", + "ush ing", + "Ġag greg", + "Ġaff airs", + "Ġpen alty", + "Ġprocess es", + "Ġwithd raw", + "Ġwhe el", + "ĠS ide", + "ĠSo ft", + "ĠOl iver", + "ĠCont emporary", + "ra ce", + "ov en", + "ĠE sp", + "Ġcondu ct", + "Ġsign ing", + "Ġn ations", + "Ġb it", + "app ing", + "ĠR AF", + "Ġ188 7", + "Ġf ixed", + "ĠA round", + "ĠKn ights", + "ĠIn it", + "ĠE vent", + "m m", + "Ġ186 5", + "Ġsent enced", + "Ġround s", + "Ġl ieutenant", + "Ġt ask", + "Ġdif ferences", + "Ġaud io", + "Ġconv icted", + "Ġs now", + "Ġre nt", + "kn ow", + "ĠA ction", + "Ġp overty", + "c ons", + "Ġr ates", + "ĠKn ow", + "ĠCl are", + "ur ers", + "Ġcomm it", + "ĠPr incip", + "Ġnomin ations", + "Ġr u", + "Ġthous ands", + "Ġst ret", + "ĠAnt i", + "Ġrepl acing", + "ĠK un", + "c ard", + "ĠSh a", + "rib ed", + "is ition", + "ĠB ron", + "Ġopin ion", + "ĠManh attan", + "Ġappear ing", + "Ġexped ition", + "Ġl iqu", + "ĠN ature", + "Ġpl ane", + "ĠS oul", + "Ġchap ter", + "claim ed", + "Ġquest ions", + "i ary", + "ĠS ultan", + "198 6", + "ij ing", + "w ig", + "ĠHis pan", + "ĠArt illery", + "Ġmov ements", + "ĠB ert", + "Ġenc ounter", + "cast le", + "Ġev olution", + "Ġextrem ely", + "Ġj ourney", + "Ġm ental", + "ĠTr inity", + "ĠFre edom", + "ĠH em", + "Ġsur re", + "Ġso il", + "Ġm ac", + "i ors", + "f ish", + "ar is", + "Ġlim it", + "b oy", + "Ġmon arch", + "Ġportray ed", + "Ġind igenous", + "ĠY am", + "Ġrel ative", + "p ent", + "u is", + "Ġadd ing", + "Ġemer gency", + "ĠCroat ian", + "ĠP age", + "ĠMod el", + "ĠDi ocese", + "ele cted", + "Ġl ov", + "f eld", + "Ġindic ate", + "ĠCont rol", + "Ġs ax", + "Ġtem porary", + "press ion", + "ĠTra il", + "Ġwood en", + "Ġnot e", + "ĠIs a", + "al is", + "ĠPl ant", + "le ment", + "Ġpl ate", + "in os", + "Ġwe ak", + "ach t", + "ĠKir k", + "Ġcap able", + "ĠBar cel", + "Ġstr ategy", + "in ces", + "198 5", + "ĠF alls", + "Ġme ets", + "Ġterrit ories", + "ĠSh ang", + "kee per", + "Ġ186 4", + "Ġtechn ique", + "ĠEduc ational", + "ĠMar s", + "Ġsu icide", + "Ġphot ography", + "Ġoffer ing", + "ĠY u", + "ĠAd ela", + "Ġw or", + "Ġ188 6", + "ĠF eat", + "ĠHarris on", + "b ut", + "ĠPo et", + "ĠB ranch", + "oph one", + "Ġh ip", + "ist ani", + "Ġsubs idi", + "Ġdef ence", + "ĠK o", + "Ġag o", + "us c", + "ĠP ay", + "ĠTerrit ory", + "Ġam ateur", + "Ġmount ains", + "he red", + "m aker", + "uss ian", + "ĠRe f", + "Ġvol umes", + "Ġloss es", + "Ġking dom", + "Ġel der", + "Ġsusp ended", + "Ġv ision", + "ĠSh ip", + "ĠCh ron", + "ĠD raw", + "er k", + "ĠM L", + "ĠZ one", + "h ost", + "Ġactiv ists", + "Ġhor ror", + "ĠSocial ist", + "ro v", + "im ir", + "Ġrough ly", + "Ġo ption", + "ĠArmen ian", + "ĠEle ction", + "Ġl ap", + "E D", + "c are", + "ĠL ost", + "Ġc ards", + "ĠCost a", + "m ate", + "ĠColl ins", + "ĠGl en", + "Ġpo ems", + "cel and", + "Ġassoci ate", + "ĠT ib", + "ĠC BS", + "Ġbound ary", + "en berg", + "st ery", + "St ar", + "ĠL ag", + "Ġal coh", + "Ġcompet ing", + "ir ation", + "Ġpropos al", + "Ġden ied", + "ĠL is", + "ge on", + "Ġe yes", + "Ġrel ief", + "ĠPriv ate", + "ĠEd ition", + "Ġ186 1", + "ĠPhoen ix", + "ĠT as", + "inn ati", + "ĠVin cent", + "ĠF isher", + "ab a", + "197 0", + "udd en", + "aj a", + "ra ck", + "ĠS outheast", + "198 4", + "Ġc atch", + "ĠTurn er", + "ĠR ank", + "u art", + "Ġ6 6", + "ĠGian ts", + "ew ork", + "ag g", + "Ġappe al", + "ĠC A", + "uck land", + "Ġcompon ents", + "ĠB aptist", + "ist ical", + "Ġrec re", + "ĠE U", + "ĠFilm ography", + "ĠCub a", + "ic on", + "ĠC ities", + "ĠUnivers al", + "Ġev al", + "ĠEs s", + "Ġfind ing", + "Ġ18 50", + "Ġ186 3", + "ĠB ible", + "ĠM A", + "ud es", + "ĠC ond", + "ac re", + "Ġcred it", + "ĠAzerbai jan", + "Ġim ag", + "ĠArchite cture", + "Ġf oss", + "Ġh ang", + "ĠS ah", + "ĠSp irit", + "Ġf ruit", + "Ġper cussion", + "Ġf al", + "te enth", + "ĠF ell", + "g ate", + "Ġpl us", + "Ġbran ches", + "Ġmess age", + "Ġexper iences", + "Ġthreat ened", + "ĠOriginal ly", + "Ġceleb rated", + "Ġass ign", + "ĠH ouses", + "Ġent ering", + "com mun", + "ĠF if", + "Ġexpl ained", + "ĠCommission er", + "ĠAnt ar", + "Ġentertain ment", + "ĠFl ight", + "ĠR at", + "ĠP ow", + "ĠSym phony", + "ĠIndust rial", + "Ġe ighth", + "Ġinvol vement", + "ĠPopul ation", + "at ar", + "ett a", + "Ġdou bles", + "an ne", + "ĠN E", + "Ġc m", + "ĠComp uter", + "Ġdem olished", + "ĠOver all", + "ĠPun jab", + "Ġdecl ined", + "Ġlic ense", + "Ġun f", + "Ġf ishing", + "l ater", + "m el", + "ĠS ite", + "Ġjur isd", + "ĠProf ile", + "Ġm oth", + "Ġdeb ate", + "Ġthe at", + "ĠRet urn", + "m od", + "Ġint ent", + "Ġswim ming", + "ĠAn cient", + "Ġhelp ing", + "Ġsp r", + "Ġaccount s", + "Ġ186 2", + "f ielder", + "ier ra", + "ĠS ad", + "Ġcous in", + "Ġconserv ation", + "ĠArt ist", + "ry pt", + "Ġg ather", + "Ġachie ve", + "b ane", + "il arly", + "ĠCra ig", + "os ph", + "Ġsup posed", + "us ing", + "ĠN BC", + "C on", + "ĠHer bert", + "Ġre nd", + "ty pe", + "Ġcontrovers y", + "Ġ188 4", + "ig o", + "ĠCommun ications", + "Ġra ise", + "ĠJer ry", + "Ġd ress", + "v ision", + "Ġst ring", + "ĠB ass", + "ĠG rey", + "Ġm ob", + "ot ton", + "Ġform ing", + "ĠCinc innati", + "is in", + "Ġinflu ential", + "ĠBarcel ona", + "st ers", + "D F", + "Ġcal cul", + "Ġex cell", + "ĠAl ong", + "Ġw arm", + "Ġstud ying", + "ĠJ oy", + "h ill", + "Ġmiss ions", + "Ġs olution", + "Ġf illed", + "ster dam", + "od ge", + "Ġprom pt", + "s a", + "ĠAdela ide", + "Ġaff ect", + "ĠH amb", + "w here", + "iss ue", + "re pre", + "ĠB ath", + "as p", + "Ġb en", + "Ġind icated", + "Ġ5 9", + "oy al", + "je ction", + "ĠL ions", + "Ġv ar", + "ĠA uckland", + "Ġlaw yers", + "hol m", + "ĠTh or", + "Ġrequ ires", + "M I", + "ĠC old", + "ĠH erman", + "ĠC ou", + "repre ne", + "198 3", + "ĠMun ich", + "Ġdra g", + "ĠSt art", + "ĠL P", + "ĠA viation", + "verse as", + "Ġarchitect ural", + ". :", + "A ll", + "ĠD og", + "hel m", + "ĠC S", + "g un", + "ĠH ugh", + "ag ar", + "Ġspirit ual", + "ĠShe l", + "ĠJ a", + "Ġcr ash", + "ĠC ob", + "Ġinj uries", + "Ġw restling", + "Ġparticip ation", + "Ġper haps", + "ĠWinn ers", + "ĠCan al", + "en cer", + "am pton", + "Ġor ient", + "Ġj ournals", + "ar ks", + "id o", + "ĠCroat ia", + "e or", + "ĠS z", + "ĠG oth", + "Ġprofess ion", + "ign ated", + "Ġsec ure", + "let t", + "ĠMag n", + "Ġvot ing", + "re hens", + "x i", + "ĠHe avy", + "ar at", + "and al", + "Ġ188 1", + "Ġp itch", + "m o", + "ĠD raft", + "ĠG round", + "ĠK ur", + "Ġd owntown", + "oc ation", + "ament al", + "Ġvess el", + "? \"", + "Ġcam era", + "ĠAngl ican", + "Ġrank ing", + "Ġinst ance", + "ĠCl ay", + "Ġ7 2", + "ĠB es", + "Ġcr imes", + "Ġsurround ed", + "Ġfr ame", + "Ġman ner", + "Ġc rop", + "Ġsh ut", + "ĠCr ime", + "ĠEx pl", + "Ġappro val", + "ĠBroadcast ing", + "ah o", + "ĠH av", + "Ġland scape", + "rib ute", + "ames e", + "ĠC ad", + "ot yp", + "Ġexist ed", + "Ġmark ets", + "Ġ6 7", + "ĠGon z", + "Ġperson ality", + "M L", + "ĠR ing", + "Ġbatt les", + "ĠS che", + "Ġ rif", + "ĠConserv ation", + "ah a", + "ĠH ann", + "Ġdep th", + "Ġele ven", + "e ed", + "ĠBe ijing", + "y t", + "Ġrepresent ation", + "inent al", + "ig ible", + "d est", + "Ġper fect", + "Ġse gment", + "Ġprot ests", + "ĠLl oyd", + "Ġsold ier", + "ĠY ang", + "Ġcor rect", + "r ub", + "ĠS ig", + "ĠS now", + "so ft", + "Ġm ir", + "ĠI celand", + "ĠB our", + "Ġann ually", + "Ġt ribut", + "f ly", + "Ġcomplet ion", + "at ically", + "Ġdon ated", + "ĠPer formance", + "ĠSystem s", + "ĠM asters", + "ĠArch ae", + "ont in", + "Ġl ob", + "Ġv ic", + "ĠTer ry", + "ab ilities", + "om on", + "Ġout put", + "Ġser ial", + "ĠB ris", + "ĠMont ana", + "ellect ual", + "ĠF inals", + "Ġex ternal", + "Ġthem es", + "Ġd ub", + "ĠBe h", + "born e", + "Ġnet works", + "Ġth in", + "Ġ8 5", + "Ġsk in", + "ia ble", + "ĠKe ith", + "Ġrepresent atives", + "ĠP el", + "p ine", + "ĠP ack", + "Ġmod ified", + "ĠY ale", + "Ġinf antry", + "p read", + "ĠArab ic", + "Ġcab inet", + "Ġf ear", + "Ġc ool", + "ĠB att", + "ul i", + "Ġsurv iving", + "iss ions", + "ĠIndust ry", + "ĠG ay", + "ĠF am", + "Ġconc rete", + "ĠP ont", + "if ican", + "iz ations", + "Ġpubl isher", + "Ġw ides", + "Ġb on", + "ĠWith in", + "ĠV I", + "ĠPol icy", + "ine e", + "Ġequip ped", + "Ġvis itors", + "ic ial", + "N S", + "ĠTy pe", + "ĠSh aw", + "ĠSte vens", + "iv ation", + "Ġhon ors", + "O M", + "197 9", + "ĠLar ry", + "Ġre act", + "oun ced", + "ĠThe od", + "amp a", + "E P", + "ĠMer c", + "Ġcirc uit", + "ĠC atherine", + "Ġn av", + "ĠEth iop", + "Ġlast ed", + "ĠM ig", + "ifican ce", + "Ġstrong ly", + "Ġgen re", + "ĠBulg arian", + "h um", + "ĠA ber", + "Ġyoung est", + "Ġre un", + "ĠG olf", + "Ġto ols", + "s is", + "Ġ188 2", + "Ġincreasing ly", + "ĠW es", + "ĠVenezuel a", + "ĠSe b", + "Ġdra f", + "ĠH ad", + "Ġd ream", + "ĠB uch", + "Ġk g", + "m ath", + "il ty", + "Ġcon gress", + "ĠRepresent ative", + "Ġtrib e", + "ĠInd ividual", + "Ġcolle ct", + "p p", + "ĠM ason", + "ĠForm ula", + "Ġd iam", + "ĠHen ri", + "Ġcent ers", + "Ġmart ial", + "Ġhapp ened", + "Ġsh ares", + "Ġille gal", + "Ġrep utation", + "ĠF uture", + "% ,", + "ĠG w", + "Ġadop t", + "ĠVeg as", + "Ġext ens", + "Ġrow span", + "Ġtransport ation", + "Ġabs or", + "ich i", + "Ġplatform s", + "ĠStat istics", + "ĠHud son", + "Ġpred e", + "Ġ9 5", + "ĠS A", + "Ġre pro", + "a uc", + "enn ial", + "ocrat ic", + "Ġvis iting", + "Ġs oul", + "ol in", + "Ġn one", + "ug s", + "i u", + "Ġpan el", + "ĠS alt", + "ĠAm sterdam", + "Ġb es", + "c alled", + "ĠP aint", + "bu ild", + "ĠS ask", + "ĠGo ogle", + "Ġne ut", + "cer ts", + "ro t", + "ĠLeg acy", + "us k", + "ag re", + "ĠEnvironment al", + "ke ley", + "oc al", + "Ġpr on", + "Ġmin imum", + "ĠB rew", + "Ġinn ings", + "Ġw ine", + "Ġhtt ps", + "t ical", + "oun sel", + "Ġplay offs", + "Ġdecl ine", + "ĠBulg aria", + "ĠBr un", + "ick ets", + "ĠG ust", + "ĠUn like", + "Ġs we", + "Ġatt orney", + "grad uate", + "ĠAtt orney", + "ĠSte ven", + "Ġa cted", + "ĠOr ig", + "ent e", + "Ġt ests", + "ĠMar vel", + "ĠNor folk", + "Ġdist inguished", + "b ound", + "Ġbelong ing", + "c z", + "ĠOper ations", + "Ġd ig", + "Ġpre gn", + "ac le", + "\" ;", + "ĠL an", + "osp itals", + "ĠB og", + "Ġsat isf", + "ash a", + "Ġcont ested", + "Ġcan n", + "Ġsurg ery", + "Ġt as", + "m ates", + "ĠBel arus", + "Ġsettle ments", + "ph al", + "d d", + "Ġbe ar", + "ĠM ix", + "od s", + "iz er", + "ing en", + "ĠM ann", + "ĠVerm ont", + "ĠT erm", + "Ġro ut", + "Ġatt ributed", + "se cts", + "Ġpreserv ed", + "el i", + "Ġto w", + "b us", + "w inning", + "Ġpost ed", + "ĠM az", + "or o", + "ig rated", + "Ġsc ope", + "Ġstat ue", + "Ġem igrants", + "ĠC ann", + "Ġsub t", + "Ġagric ulture", + "ast s", + "ĠTreat y", + "! \"", + "Ġan ch", + "ĠHar old", + "Ġelev ation", + "ĠN umber", + "Ġmerch ant", + "L P", + "ĠCamp aign", + "Ġmain tenance", + "Ġd rew", + "Ġbene fit", + "Don ald", + "itar ian", + "Ġcancell ed", + "Ġphil os", + "Ġrul ing", + "ĠD iamond", + "en os", + "ĠH orse", + "L a", + "ĠG ot", + "it is", + "ĠCur t", + "Ġcontin uing", + "Ġg olf", + "Ġag ents", + "ĠLu x", + "b rid", + "ĠRob in", + "ograp hers", + "Ġf ix", + "Ġdom ain", + "Ġbe ach", + "ĠL ie", + "198 2", + "z es", + "Ġcou ples", + "Ġdis pl", + "Ġsee k", + "Ġsub d", + "ĠS P", + "ĠC P", + "Ġhon our", + "Ġthir ty", + "Ġsched ule", + "ang erous", + "Ġc inema", + "Ġspok en", + "iction ary", + "ĠH ob", + "Ġinc idents", + "at che", + "Ġ6 8", + "B B", + "Ġkey boards", + "Ġex pect", + "Ġven ue", + "Ġf ighter", + "Ġrecomm ended", + "ĠSh in", + "b es", + "Ġdraw ing", + "' ve", + "Ġpopul ations", + "ĠD ays", + "Ġval id", + "ĠB right", + "ĠP ic", + "ul ations", + "ĠN S", + "ĠDeath s", + "Ġconsider able", + "Ġ1 000", + "Ġtre ated", + "ij i", + "ĠBy z", + "Ġmeet ings", + "Ġrele ases", + "t r", + "Ġparticip ants", + "Ġspe ak", + "ĠAn im", + "f ire", + "ra v", + "ĠBuddh ist", + "ĠDel aware", + "ĠDen ver", + "end ar", + "Ġform ations", + "A s", + "ub le", + "o j", + "Ġmod e", + "ĠSpr ings", + "Ġunder ground", + "Ġ187 6", + "ĠCommun es", + "ĠMan uel", + "ĠBos nia", + "Ġlong est", + "ĠB uc", + "Ġcoach ing", + "ĠM S", + "ĠManag er", + "ĠKen ya", + "Ġp ric", + "ro ck", + "Ġ188 3", + "Ġat mosp", + "Ġwides pread", + "Ġ25 0", + "ops is", + "arc hers", + "Ġan ime", + "Ġsat ellite", + "Ġsomew hat", + "ĠHel en", + "ch ild", + "ĠEn cyclop", + "Ġplan et", + "c at", + "ĠDrag on", + "D C", + "Ġfrequ ency", + "ĠF un", + "Ġchang ing", + "ĠN HL", + "Ġcharacter istics", + "Ġbir d", + "Ġfl ed", + "M ay", + "ĠIn v", + "Ġsu fficient", + "ĠErn est", + "ĠSy ria", + "ke ep", + "Ġres olution", + "Ġsh ore", + "Ġfest ivals", + "ĠBob by", + "Ġchap el", + "ĠP oll", + "Ġrelationship s", + "198 1", + "am ics", + "ĠT on", + "id en", + "Ġmod er", + "ĠCo al", + "Ġten ure", + "Ġpremi ere", + "ĠS ak", + "Ġgro wn", + "st own", + "Ġoccas ionally", + "Ġearth qu", + "Ġbo ats", + "g el", + "ĠM end", + "Ġf urn", + "ĠEd wards", + "Ġbl ocks", + "Ġg ay", + "ĠAt hens", + "ĠIndones ian", + "ult ane", + "Ġrese archers", + "Ġph one", + "ac o", + "Ġar c", + "Ġdepart ure", + "Ġreported ly", + "Ġex pos", + "onym ous", + "ĠPer ry", + "ĠRog ers", + "Ġill ness", + "b in", + "Ġjob s", + "ĠWar ri", + "ĠFrid ay", + "Ġac know", + "gi ate", + "Ġf ile", + "Ġany thing", + "Ġ187 8", + "Ġch amber", + "ust ed", + "Ġsaf e", + "ter ior", + "ia st", + "Ġinaug ural", + "Ġsp oke", + "ĠAd vis", + "ĠHol land", + "Ġhigh light", + "Ġgovern ments", + ". '", + "Ġpat rol", + "b ow", + "ĠS or", + "Ġindic ates", + "Ġab road", + "ĠL ion", + "ĠMah ar", + "Ġprin ted", + "C an", + "h igh", + "b ird", + "ĠTe ch", + "ĠHispan ic", + "ĠH ope", + "ĠT oy", + "Ġviol in", + "ur ring", + "ĠD ennis", + "Ġremain der", + "Ġcontrovers ial", + "ĠI C", + "ĠNiger ian", + "ĠEconom y", + "ĠClin ton", + "ĠG ang", + "ĠS ay", + "Ġinters ection", + "ĠK rist", + "ĠN y", + "ancell or", + "op es", + "ĠPed ro", + "Ġsur f", + "ĠPers ian", + "duc er", + "Ġt act", + "Ġtem por", + "Ġh a", + "Ġere cted", + "Ġwh ilst", + "ip er", + "ĠN an", + "Ġbu y", + "ĠAbb ey", + "Ġab use", + "ĠJeff erson", + "b ody", + "l iga", + "p ol", + "Ġw orship", + "ĠAng lo", + "Ġemploy ment", + "Ġph r", + "Ġh orses", + "Ġh uge", + "or p", + "ĠCirc uit", + "ĠW alt", + "o ons", + "Ġeffect ively", + "Ġoper ational", + "Ġattra cted", + "ĠK ay", + "ach i", + "ĠSw im", + "ĠBris bane", + "Ġs leep", + "ĠS ource", + "Ġt ell", + "ĠSt uart", + "ĠShort ly", + "Ġvis ible", + "Ġstand ings", + "ryst al", + "ĠHe in", + "ĠK ab", + "Ġ7 8", + "ĠRal ph", + "ĠR if", + "B M", + "] ,", + "Ġdu o", + "ew here", + "Ġrem ember", + "Ġ187 9", + "Ġsh ift", + "m usic", + "ĠG et", + "ĠPak istani", + "ĠO il", + "et ers", + "Ġdiscover y", + "Ġprede cess", + "por ter", + "Ġtravel ed", + "Ġw rong", + "ĠFin ance", + "al am", + "Ġprocess ing", + "ĠCh air", + "l ington", + "ition al", + "g om", + "Ġthous and", + "ĠS et", + "oc c", + "ĠMuslim s", + "Ġmuseum s", + "ra ham", + "ĠP att", + "au ge", + "Ġscient ist", + "Ġinstrument al", + "ur rent", + "ach ment", + "197 8", + "h l", + "Ġcom ics", + "Ġte ach", + "Ġsp aces", + "b acks", + "Ġst ress", + "Ġcont ribution", + "Ġunderst and", + "ing ly", + "Ġrest oration", + "ĠStan ford", + "Ġclaim ing", + "Ġannoun ce", + "Ġrecover ed", + "ĠFin ancial", + "ĠMag ic", + "ĠGra ce", + "Ġdef ending", + "Ġevery thing", + "Ġtrad ing", + "Ġmid field", + "E T", + "n ed", + "Ġresc ue", + "W A", + "Ġ urg", + "ĠW u", + "Ġreg ime", + "Ġn urs", + "Ġrel ocated", + "197 7", + "if ted", + "ĠTh ir", + "Ġsent ence", + "ĠPr inc", + "197 5", + "Ġbroadcast ing", + "G erman", + "k ar", + "elf are", + "Ġoccas ions", + "ip per", + "u its", + "ĠCl imate", + "Ġhe aring", + "ĠIn stead", + "Ġte xts", + "Ġ187 5", + "ĠL ock", + "ĠEag les", + "ĠAir lines", + "Ġunder t", + "ann i", + "Ġcas ual", + "ĠD ata", + "Ġemer ged", + "Ġa u", + "ur st", + "Ġsup ports", + "ĠAd v", + "Ġr ub", + "ĠT ogether", + "ĠJ ar", + "Ġfriend ly", + "f amily", + "m ina", + "ĠS oon", + "ĠBer keley", + "ĠPeters burg", + "Ġtrib es", + "port ed", + "ĠPen insula", + "Ġre pr", + "ot he", + "Ġabs ence", + "ail ing", + "ĠUr ugu", + "Ġwhere as", + "Ġmarket ing", + "ĠMad ison", + "ol ition", + "Ġexperiment al", + "ĠDemocrat s", + "as ia", + "Ġb id", + "Ġin ner", + "Ġcommand ed", + "Ġdiam eter", + "Ġsumm ary", + "ĠG ate", + "ĠTh ai", + "Ġaim ed", + "ĠPolit icians", + "ĠEpis ode", + "Ġcompet itive", + "Ġlicens ed", + "Ġvers us", + "Ġbeh alf", + "ĠP od", + "ĠC ert", + "ĠI T", + "Ġmiss ed", + "Ġ7 4", + "ĠG overn", + "ĠO sc", + "Ġ187 7", + "o an", + "Ġoppon ents", + "Ġ7 7", + "ro se", + "id al", + "H A", + "app y", + "ĠB av", + "ed a", + "ĠS ang", + "ic us", + "ĠR ight", + "c aster", + "Ġle af", + "Ġcricket er", + "un es", + "Ġmix ing", + "Ġaffili ated", + "ĠOtt awa", + "Ġqual ify", + "che st", + "ĠI b", + "Ġtourn aments", + "Ġcol ony", + "ĠSched ule", + "Ġ187 1", + "rag ue", + "ag s", + "ĠD est", + "qu arter", + "over y", + "Ġsupport ers", + "Ġdefend ers", + "ag i", + "Ġphys ician", + "ĠLe eds", + "Ġrebu ilt", + "197 4", + "ah l", + "ĠN ear", + "Ġcre ative", + "s pec", + "Ġdrug s", + "ul um", + "ĠBut ler", + "Ġsuppl ies", + "B e", + "Ġkn ew", + "Ġpro port", + "re ck", + "gor ith", + "Ġbe et", + "Ġb acter", + "ĠP ul", + "N T", + "ĠV e", + "Ġs end", + "former ly", + "Ġmon itor", + "ĠC ant", + "ĠCh a", + "um i", + "Ġpred omin", + "as m", + "ĠH ond", + "ĠVi ew", + "ĠK in", + "Ġmass ive", + "Ġcred its", + "Ġt orn", + "Ġ186 7", + "ath on", + "Ġed itions", + "Ġperiod s", + "o ard", + "Ġgall ery", + "Ġwrit es", + "ĠS oph", + "Ġb ridges", + "Ġm ines", + "ĠArch bishop", + "Ġgrand father", + "ne e", + "cl osed", + "ĠChe ster", + "ĠB ald", + "n an", + "Ġdep ending", + "Ġcat alog", + "ĠP ut", + "ĠDe ep", + "Ġse es", + "Ġrat io", + "ĠProdu ctions", + "ĠGerman s", + "medi ate", + "Ġf il", + "up s", + "Ġsw itch", + "Ġv e", + "Ġp seud", + "Ġ187 2", + "anth rop", + "ĠMal ay", + "c ut", + "Ġcharacter ized", + "ig s", + "eral a", + "Ġimmedi ate", + "Ġsuffer ing", + "k an", + "el ia", + "th lete", + "Ġ1 10", + "if ies", + "ĠNe xt", + "Ġf ur", + "Ġ187 4", + "f oot", + "it ure", + "Ġs udden", + "ĠC row", + "ĠAl tern", + "Ġsil ent", + "Ġfac ing", + "ĠEx change", + "ĠMov ie", + "197 6", + "Ġdescrib e", + "ĠMur phy", + "os hi", + "il is", + "Ġtra il", + "Ġconcern ed", + "Ġdis band", + "ix on", + "Ġafter wards", + "ff bb", + "B O", + "ĠS uz", + "Ġturn ing", + "196 0", + "ĠS ierra", + "Ġtrans mission", + "ĠNe il", + "if fer", + "u ador", + "Ġdet ailed", + "ĠFlore nce", + "Ġc ul", + "ro ve", + "Ġcateg ories", + "hem atic", + "ĠChristian ity", + "s or", + "au kee", + "ĠN R", + "or ous", + "Ġorgan isations", + "ĠNew castle", + "Ġarrang ement", + "Ġn inth", + "Ġhundred s", + "c f", + "Ġadvert ising", + "is ch", + "ĠWell ington", + "Ġh olid", + "ĠO cc", + "Ġconcent ration", + "ĠComm ons", + "Ġlegisl ative", + "u able", + "Ġpublic ly", + "Ġran ks", + "our se", + "qu ir", + "Ġpr inc", + "Ġ186 8", + "Ġrapid ly", + "Ġcon certs", + "unc redited", + "er ted", + "ow ed", + "Ġex ists", + "t rans", + "Ġpercent age", + "Ġ7 3", + "az e", + "ric ted", + "Ġ8 8", + "on ies", + "ĠC arn", + "ĠR af", + "ĠChrist ians", + "the less", + "ĠS ox", + "ĠM ath", + "W h", + "Ġcomment ed", + "M y", + "ĠPar ks", + "re leased", + ".. ..", + "ele ct", + "ĠM ol", + "Ġview ers", + "ĠSus an", + "enc ing", + "ĠEd die", + "ĠLe o", + "ĠHamb urg", + "Ġst yles", + "ĠAb u", + "Ġrecomm end", + "Ġad ults", + "Ġsign ificance", + "Ġcon st", + "min ute", + "194 5", + "Ġw at", + "Ġsign s", + "ew ay", + "ĠFriend s", + "Ġth ing", + "ĠGil bert", + "ĠUnt il", + "ĠInd ependence", + "Ġcon vention", + "ĠN A", + "ia o", + "Ġd ual", + "ĠHeb rew", + "Ġsp ending", + "ring ton", + "Ġ8 2", + "Ġins urance", + "ĠSecond ary", + "Ġunus ual", + "p any", + "Ġencoura ged", + "yl er", + "ĠRay mond", + "Ġw ants", + "onom ous", + "ĠWil helm", + "I L", + "ber ry", + "ff ield", + "Ġgrad ually", + "Ġ7 1", + "Ġident ify", + "ĠSer ie", + "ĠAgric ulture", + "Ġatt ending", + "Ġexc av", + "Ġ186 6", + "ĠWrit ing", + "ĠN ott", + "Ġbeg un", + "Ġ6 9", + "Ġf antasy", + "Ġwithd rew", + "Ġgreat ly", + "ĠJ in", + "Ġfac ilit", + "Ġl ibr", + "Ġle agues", + "Ġw el", + "Ġopportun ities", + "ĠN athan", + "ent i", + "em ed", + "ab el", + "ic he", + "O n", + "Ġsee king", + "ro id", + "at ra", + "ath y", + "ĠK erala", + "ran o", + "Ġdefin ition", + "p in", + "Ġapart ment", + "Ġvot ers", + "Ġelect ron", + "ĠCru z", + "Ġpar ks", + "Ġw ard", + "ĠEv ents", + "Ġhel ic", + "Ġ9 9", + "ĠRev ival", + "Ġrhy thm", + "Ġpal ace", + "ĠRel ations", + "it ual", + "ĠC elt", + "Ġpat ient", + "Ġbenef its", + "Ġ18 40", + "ĠSom ers", + "ĠScient ific", + "av i", + "ĠT ennis", + "ĠTun is", + "Ġh al", + "if inals", + "Ġpar am", + "Ġdisestabl ishments", + "Ġ6 00", + "Ġg ymn", + "ri en", + "ĠD in", + "cc a", + "ĠPh D", + "197 2", + "ris on", + "Ġorgan ised", + "Ġg one", + "Ġcorpor ate", + "Ġmake up", + "h n", + "iven ess", + "ir k", + "l ik", + "Ġsculpt ure", + "ĠArn old", + "ĠDoc ument", + "ĠSt ef", + "Ġres emb", + "ĠR ah", + "ĠCong o", + "Ġ187 3", + "ĠL akes", + "ot ion", + "Ġcompon ent", + "197 3", + "Ġweap on", + "St ation", + "C ol", + "Ġfor wards", + "ĠLu ke", + "ab e", + "Ġ9 6", + "Ġrep air", + "ĠK le", + "Ġde struction", + "oss ible", + "Ġb iography", + "m aking", + "ĠL ear", + "Ġo cean", + "v et", + "Ġmat hematics", + "Ġcoal ition", + "ĠWars aw", + ". ),", + "w aukee", + "Ġass ets", + "Ġevery one", + "Ġp y", + "Ġcl an", + "Ġinteg rated", + "Ġamong st", + "c ase", + "Ġcivil ian", + "r ates", + "ĠM uch", + "Ġac oustic", + "Ġgu ilty", + "g ame", + "ĠA ctor", + "Ġsp in", + "Ġphotograph s", + "ĠFem ale", + "P l", + "ĠLeban on", + "ĠKaz akh", + "Ġposs ession", + "P R", + "Ġview ed", + "Ġce ased", + "ag ement", + "Ġc able", + "Ġnob le", + "Ġex ception", + "Ġpro hib", + "ĠLeon ard", + "Ġw et", + "Ġst able", + "l ift", + "isc opal", + "k w", + "Ġcl ar", + "over e", + "Th is", + "Ġbelong ed", + "arri er", + "Ġrun ners", + "u ber", + "ov an", + "rat ors", + "Ġpat ron", + "ĠM ut", + "ĠPaul o", + "arg ed", + "Ġsubsidi ary", + "Ġhonor ary", + "Ġra c", + "rehens ive", + "Ġh at", + "Ġfrequ ent", + "ch ing", + "Ġcon j", + "Ġpart ially", + "ĠEc uador", + "ub a", + "ĠA chie", + "Ġsw it", + "ĠT ed", + "ĠFried rich", + "ĠT ong", + "Ġb orders", + "ĠM ik", + "ĠReg ular", + "Ġleg s", + "Ġfarm ers", + "Ġsub stitute", + "ĠEconom ics", + "Ġe asy", + "as ant", + "ĠS uch", + "Ġext ent", + "ĠC ork", + "ĠAr c", + "ĠBaron et", + "form ing", + "Ġp ul", + "Ġb orough", + "ĠM ust", + "r s", + "ĠN ak", + "ĠD ol", + "and om", + "od ed", + "ap se", + "ĠConfeder ate", + "an ced", + "ĠE sc", + "ĠAnn ual", + "ĠTax onomy", + "Ġearn ing", + "Ġcustom ers", + "Ġuse ful", + "min ster", + "ĠF ig", + "Ġmov ies", + "Ġtrad ed", + "ĠH aving", + "Ġg ate", + "Ġinc umbent", + "Ġev ac", + "ĠSe an", + "Ġk it", + "r us", + "ĠLat ino", + "ĠFell ows", + "Ġphys ics", + "ĠArt icle", + "ĠGh ost", + "ĠAll ied", + "Ġimplement ed", + "Ġ ),", + "ĠH ale", + "Ġplay wright", + "Ġsust ain", + "Ġphen omen", + "ĠR idge", + "Ġmarg in", + "b en", + "i ago", + "Ġtr uth", + "ok ie", + "ĠBr uns", + "Ġdeploy ed", + "Ġterm inal", + "Ġrel ation", + "Ġpe oples", + "Ġelect rical", + "Ġw edding", + "Ġon going", + "Ġsim ultane", + "it ars", + "ĠDomin ican", + "Ġsurv iv", + "ĠS ic", + "Ġmurder ed", + "B E", + "i ology", + "ĠProte ction", + "h our", + "iv ic", + "Ġto mb", + "Ġprov inces", + "ĠChap el", + "ĠL ig", + "ĠTeam s", + "Ġv olleyball", + "ĠWat son", + "ĠK id", + "E l", + "str ong", + "ĠB ent", + "Ġpick ed", + "ram s", + "ĠProv incial", + "Ġsec ured", + "Ġdismiss ed", + "Ġconserv ative", + "Ġ8 1", + "Ġsong writer", + "Ġoccas ion", + "Ġspons ored", + "ov ich", + "art a", + "ĠG az", + "ĠSy rian", + "ect or", + "Ġt ort", + "Ġc emetery", + "ĠPr ison", + "Ġapparent ly", + "Ġto ured", + "ort on", + "Ġport rait", + "ven ge", + "ĠProtest ant", + "ĠM ul", + "er i", + "ĠN C", + "ĠMusic ians", + "ull ivan", + "ĠIm m", + "ĠB ond", + "ĠPhill ips", + "Ġel dest", + "ĠJ ur", + "r n", + "h aus", + "ĠInit ially", + "ĠVen ice", + "ĠLe ader", + "Ġstrugg le", + "Ġm atters", + "ul us", + "a a", + "ĠMo z", + "ry s", + "ĠAddition al", + "ĠSing le", + "ĠS ony", + "Ġweek end", + "J an", + "al g", + "ĠCo ach", + "Ġprincip les", + "ĠStud ents", + "Ġcomplet ing", + "Ġb attalion", + "Ġjun ction", + "ĠL amb", + "o ffic", + "ĠR ange", + "ĠGuard ian", + "Ġsubstant ial", + "ĠForm ation", + "Ġbe autiful", + "te am", + "Ġdr ummer", + "Ġas c", + "ĠS yl", + "ĠHar vey", + "ĠStud ent", + "Ġmin eral", + "ac a", + "ĠWall ace", + "ov sky", + "Ġtre nd", + "Ġengine ers", + "ap ped", + "Ġc argo", + "d al", + "iss a", + "ĠE C", + "Ġdraf ted", + "Ġoper ator", + "ĠLeg end", + "Ġp ure", + "Ġiniti ative", + "ĠO g", + "Ġsym pt", + "ins ky", + "ĠCom mercial", + "u ations", + "Ġh ope", + "Ġg rey", + "Ġread y", + "und a", + "ĠInt elligence", + "er as", + "if ier", + "ĠCard inals", + "Ġdiscuss ed", + "ĠW ells", + "ĠD rama", + "ĠFilip ino", + "Ġphot o", + "ff ee", + "196 8", + "reprene ur", + "Ġalcoh ol", + "Ġmanufact urer", + "Ġim perial", + "ĠK ash", + "Ġcho ose", + "Ġmount ed", + "ĠSud an", + "Ġtra p", + "w ald", + "Ġs essions", + "Ġb io", + "Ġ9 7", + "em a", + "ĠB ach", + "Ġgu ide", + "Ġb ishops", + "ae us", + "om ic", + "Ġcl othing", + "Ġmov es", + "Ġexpl o", + "Ġm o", + "ĠTom my", + "Ġacc ord", + "ĠRoc he", + "O ct", + "ĠF ighter", + "Ġex cess", + "Ġ186 9", + "ĠSh ir", + "Ġren ov", + "E d", + "ĠOut standing", + "ĠB eth", + "Ġc ash", + "ol en", + "3 00", + "hemat ical", + "Ġy ield", + "vious ly", + "Ġ8 00", + "ĠHug hes", + "ĠC red", + "Ġtal ent", + "f urt", + "ĠJ ak", + "Ġreve als", + "Ġcon stitution", + "Ġb anned", + "Ġfund ed", + "197 1", + "ĠS ul", + "Ġpass age", + "Ġrespond ed", + "ĠP os", + "ĠL or", + "s uch", + "ĠCon st", + "Ġtri als", + "ĠNash ville", + "u j", + "Ġcommun ications", + "Ġenjoy ed", + "ĠDiv isin", + "Ġind ex", + "ĠHe at", + "Ġestablish ing", + "M arch", + "im o", + "eral ly", + "ro ke", + "Ġvac c", + "Ġdisplay ed", + "ĠK il", + "og an", + "ĠTre as", + "Ġdeb t", + "am er", + "ĠTas man", + "ĠShang hai", + "Ġplay off", + "I R", + "Ġdisc ontin", + "ĠC ov", + "Ġvarian t", + "ĠNe igh", + "Ġfun eral", + "ript ions", + "au er", + "ĠCh an", + "n ew", + "Ġres ort", + "Ġpart ly", + "Ġre venue", + "ĠCompet ition", + "p m", + "Ġp ale", + "ĠM old", + "gom ery", + "ĠColumb us", + "ĠRh ode", + "z ig", + "ific ial", + "Ġint ellectual", + "atche wan", + "sequ ently", + "Ġpartn ers", + "Ġas ks", + "ĠG as", + "ĠIs s", + "Ġdise ases", + "ĠH az", + "act s", + "Ġthr iller", + "Ġregul ations", + "Ġp ip", + "Ġex posed", + "Ġcon greg", + "ĠO ber", + "Ġout break", + "ĠMar qu", + "Ġfal se", + "ĠId aho", + "Ġst rict", + "Ġex ceed", + "ĠR aw", + "ort ion", + "196 9", + "Ġmerg er", + "ĠL ac", + "ĠGreg ory", + "ĠSc reen", + "Ġstep s", + "Ġrem ove", + "Ġout er", + "ĠChap ter", + "ĠGabri el", + "Ġl ingu", + "Ġal gorith", + "Ġposs ibility", + "Ġass ists", + "sc ale", + "ĠDr ive", + "Ġchar ity", + "m ill", + "ĠR us", + "Ġesc ort", + "ĠFour th", + "ĠB ear", + "em e", + "ĠJac ques", + "Ġany one", + "Ġfocus es", + "Ġadv ice", + "ĠJo an", + "ĠAb raham", + "I M", + "N ov", + "Ġ7 9", + "ĠHig her", + "Ġthr one", + "ic ity", + "Ġv ul", + "ĠVill a", + "Ġlab our", + "Ġapp ly", + "ed eration", + "Ġdebut s", + "Ġoppon ent", + "ĠD im", + "Ġbatter y", + "ĠF ictional", + "ĠFer r", + "Ġsur ve", + "ĠRes erv", + "Ġtun nel", + "ĠEle ctions", + "Ġdr iven", + "Ġjurisd iction", + "Ġl ose", + "Ġdisp ute", + "ĠWork ers", + "E x", + "lov ak", + "ĠH at", + "Ġcontin u", + "ĠShe ffield", + "Ġch oir", + "ĠMer it", + "K O", + "ĠS ut", + "ĠRam s", + "ent le", + "ĠMicro soft", + "Ġ8 7", + "in um", + "ĠLeg ion", + "Ġm os", + "Ġext reme", + "Ġ ib", + "Ġ9 8", + "ĠC ec", + "ĠIn g", + "ish a", + "m other", + "ai ro", + "ĠThrough out", + "ĠOr d", + "Ġliber al", + "ĠN g", + "ĠW as", + "Ġfall ing", + "Ġr ated", + "Ġliqu id", + "ro st", + "ĠP S", + "Ġcap s", + "Ġup grad", + "Ġcomp iled", + "ĠBruns wick", + "ĠMig uel", + "ĠY ellow", + "ĠLa ura", + "Ġdomin ated", + "Ġimm igrants", + "ah an", + "Ġrese ar", + "ĠSask atchewan", + "Ġscholar ship", + "up t", + "Ġass emb", + "ĠJ oint", + "Ġsol ar", + "ĠPlay Station", + "ĠArab ia", + "ir us", + "Ġ184 8", + "Ġtw in", + "an ion", + "ĠE ight", + "ick ing", + "ĠSeb ast", + "ad r", + "ĠW ag", + "Ġminor ity", + "ck er", + "Ġwear ing", + "Ġrecip ient", + "Ġexclus ively", + "Ġkeep ing", + "ip ped", + "ĠM ills", + "Ġall iance", + "ĠS ett", + "ĠSt ru", + "Ġsett lers", + "lim inary", + "Ġconne cting", + "O T", + "Ġdes ire", + "it ol", + "Ġgen etic", + "Ġcomp ens", + "Ġnorm ally", + "ut a", + "ĠStud y", + "Ġw ire", + "ĠP rice", + "ĠMont gomery", + "Ġdecision s", + "Ġassist ed", + "Ġdisc rim", + "ĠAh med", + "Ġj ury", + "ers hire", + "Ġcon stitutional", + "ĠNap ole", + "Ġre duction", + "A nd", + "ĠDev on", + "ĠMil waukee", + "ĠTib et", + "Ġ8 4", + "ac ional", + "ĠBab y", + "Ġ185 9", + "Ġunder w", + "H P", + "Ġcond em", + "akes pe", + "Ġro ots", + "Ġt anks", + "ĠAthlet es", + "ĠOb serv", + "ĠPoet ry", + "ĠCar r", + "E L", + "Ġst em", + "Ġprodu ces", + "ĠFran co", + "ĠEs sex", + "Ġd iver", + "m id", + "iz z", + "Ġloc ally", + "C om", + "ĠE ff", + "ĠR uth", + "Ġsequ el", + "Ġdec ides", + "Ġspe aking", + "ĠVlad imir", + "Ġrequ ested", + "uz z", + "ĠScot ia", + "our g", + "19 50", + "ĠC C", + "agon ist", + "cent ral", + "Ġattra ctions", + "ĠPer th", + "h aw", + "ĠMar a", + "ĠTrans l", + "est y", + "ĠS T", + "ĠB ag", + "d ire", + "Ġpattern s", + "ĠM idd", + "Ġmid fielder", + "ĠH ab", + "ĠD anny", + "Ġconstitu encies", + "Ġ9 2", + "Ġtrad itions", + "Ġto urs", + "ĠEngine ers", + "ĠF lying", + "ok u", + "ĠA x", + "Ġgener ated", + "Ġclin ical", + "ĠSw an", + "cy cle", + "Ġro ster", + "Ġcircum stances", + "ĠJ en", + "ab ric", + "Ġsub mitted", + "Ġgrow s", + "Ġem peror", + "Ġcompet itors", + "ie u", + "ĠPal mer", + "Ġne arest", + "Ġess ential", + "p hew", + "Ġclos ing", + "t ers", + "ĠSc ar", + "Ġt ons", + "' ll", + "u ly", + "Ġimplement ation", + "f am", + "ĠMaur ice", + "er r", + "eth yl", + "Ġ185 7", + "d ef", + "ĠGi ov", + "Ġm al", + "ĠRh odes", + "Ġb ay", + "Ġcon clusion", + "Ġunc ertain", + "oc ene", + "Ġne ither", + "Ġf old", + "ĠAir craft", + "est one", + "end ers", + "ĠCy pr", + "ĠF iction", + "Ġpurs ue", + "Ġst ab", + "Ġconne ct", + "osp el", + "Ġcont roll", + "ĠT all", + "Ġr ising", + "ĠBen ed", + "p y", + "Ġbe ating", + "ĠV oice", + "ĠCh urches", + "\" :", + "ĠA j", + "Ġlim its", + "ĠL ok", + "ĠGro ve", + "ĠMar io", + "Ġ8 6", + "ĠP ath", + "Ġb in", + "bor g", + "A d", + "Ġprop ag", + "CA R", + "Ġdivers e", + "ĠP rague", + "Ġs isters", + "ĠEx am", + "Ġen forcement", + "ĠYugoslav ia", + "ĠRena issance", + "Ġbound aries", + "Ġv ast", + "ab i", + "U K", + "Ġdeliver y", + "r ating", + "l ist", + "Ġf it", + "Ġmon astery", + "Ġterm inus", + "om i", + "Ġlow est", + "Ġunsuccess ful", + "ĠSomers et", + "e ing", + "Ġbre aking", + "Ġ9 3", + "a ude", + "ra wn", + "Ġelectric ity", + "ĠDe uts", + "Ġexhib itions", + "ĠLeg al", + "ĠF ly", + "ĠK i", + "f irst", + "b one", + "Ġgro ss", + "Ġappropri ate", + "Ġacqu isition", + "ĠG amb", + "as er", + "Ġcross ed", + "he nt", + "Ġst yl", + "Ġvict im", + "Ġb right", + "Ġiniti ated", + "A t", + "uss ia", + "Ġbal ance", + "ro ph", + "Ġto uring", + "Ġclos er", + "ĠE ld", + "ĠUn incorporated", + "ĠC inema", + "Ġmidfield ers", + "Ġs ailed", + "ĠT able", + "ĠD aw", + "Ġacknow led", + "qu er", + "n amese", + "att a", + "ĠT ir", + "Ġtop ics", + "ĠMe chan", + "l ia", + "Ġint ention", + "Ġmanag ing", + "av or", + "ĠRevolution ary", + "Ġsh ock", + "Ġconne ctions", + "ĠFran z", + "cl os", + "ĠW ald", + "Ġs ight", + "Ġcon vert", + "Ġmat hematic", + "Ġprodu ctions", + "ĠV ent", + "end a", + "Ġe at", + "ĠAr med", + "196 7", + "av ia", + "ĠNew ton", + "l ain", + "Ġnovel ist", + "ĠJ ung", + "ĠSh akespe", + "ĠAbd ul", + "Ġne ck", + "Ġmechan ical", + "ĠKr ish", + "Ġto ol", + "ĠC u", + "B est", + "ĠRon ald", + "ill es", + "ĠFurther more", + "Ġr is", + "Ġhe ir", + "pl ed", + "' d", + "Ġcou p", + "ĠM ang", + "Ġrespect ive", + "h in", + "Ġm asc", + "Ġnar rative", + "Ġcontin uous", + "ap est", + "Un ited", + "l u", + "Ġp or", + "et o", + "ro e", + "tra cks", + "Ġ18 30", + "ĠMc M", + "Ġ8 9", + "Ġre organ", + "Ġdiscuss ion", + "Ġreb ell", + "ĠCub an", + "ĠOsc ar", + "c os", + "ij a", + "ĠOt to", + "ĠCom merce", + "ĠClar ke", + "ĠGu ild", + "ĠPalest ine", + "ĠIndian apolis", + "ĠNott ingham", + "ĠV ern", + "Ġconvers ion", + "ath i", + "ic as", + "ĠIn stitut", + "ĠDel ta", + "Ġman if", + "U C", + "el in", + "ĠCamer on", + "ĠA ires", + "Ġparticip ating", + "Ġpit cher", + "ĠR aid", + "c ore", + "Ġre ct", + "Ġstrateg ic", + "v ar", + "Ġtreat y", + "we b", + "ans k", + "Ġnot ice", + "Ġcondu ctor", + "Ġmar ry", + "ĠA aron", + "ĠW ed", + "Ġnegoti ations", + "193 9", + "Ġsc en", + "e o", + "Ġimp ress", + "s ur", + "ar ation", + "ĠArch ives", + "Ġhous ed", + "ĠSp encer", + "ĠUg anda", + "ri ft", + "Ġsee ing", + "Ġex ecution", + "Ġrem ix", + "ap pro", + "Eng lish", + "Ġresign ation", + "Ġ8 3", + "sec ond", + "ĠH ous", + "ĠMot ors", + "Ġstreng then", + "ĠVal ent", + "eng u", + "ĠF at", + "ĠM orning", + "ĠP and", + "Ġse vent", + "Ġorig ins", + "Ġmar ks", + "Ġinvol ves", + "Ġsubmar ine", + "Ġtr uck", + "ad ier", + "ĠBl ock", + "ĠChile an", + "ĠG T", + "Ġhe ar", + "Ġcamp s", + "ĠFace book", + "ĠSt ill", + "Ġco operation", + "Ġs ang", + "Ġtim ber", + "Ġf itted", + "ĠIsa ac", + "Ġbas es", + "Ġphot ographer", + "ĠPhil osophy", + "Ġisol ated", + "ĠSte in", + "Ġbe auty", + "ĠB od", + "ĠStock holm", + "Ġillust rated", + "Ġt urb", + "Ġconcern ing", + "d isc", + "Ġel se", + "ĠMethod ist", + "Ġal ter", + "R T", + "ĠB ak", + "ath a", + "} }", + "Ġcampaign s", + "ĠByz antine", + "av ier", + "ĠDist inguished", + "Ġsuper ior", + "writ ing", + "Ġg ard", + "Ġa qu", + "Ġr ide", + "t ar", + "Ġc attle", + "Ġexhib ited", + "is che", + "ĠJust in", + "Ġsele ct", + "ĠBr as", + "Ġman age", + "y gen", + "Ġout standing", + "Ġtrib ute", + "ĠArch ive", + "Ġg al", + "Ġst im", + "ĠOak land", + "J ohn", + "u ros", + "ĠHind i", + "ze gov", + "alle st", + "ĠMach ine", + "Ġo verseas", + "v ol", + "ĠPrinc eton", + "Ġprinc iple", + "ne x", + "on ly", + "om o", + "Ġcol ors", + "Ġphot os", + "Ġcontribut ing", + "ĠA w", + "Ġag ree", + "Ġsl ave", + "Ġmanufact urers", + "Ġ10 1", + "Ġcon vin", + "ĠC F", + "ĠH ir", + "Ġviol ent", + "E N", + "ĠThere fore", + "h istor", + "ator ial", + "h al", + "Ġexerc ise", + "Ġmechan ism", + "Ġh orn", + "Ġs alt", + "Ġtrav elled", + "ol and", + "ĠD ame", + "Ġeconom ics", + "ĠLe ft", + "ĠLiber ty", + "Ġess ay", + "Ġprote ins", + "Ġmanufact ured", + "Ġr itual", + "ĠAc cess", + "ĠNorth west", + "Ġindu cted", + "os lovak", + "Ġsurv ive", + "Ġdescrib ing", + "ig ious", + "na issance", + "Ġdisc ip", + "Ġ ur", + "ĠW here", + "Ġorig inated", + "aur us", + "Ġj u", + "is an", + "196 5", + "r ors", + "ĠB ears", + "ĠP resent", + "Ġfilm ing", + "Ġinternational ly", + "Ġm or", + "ĠRe yn", + "song writer", + "Ġper mission", + "ĠDur ham", + "r ont", + "ant i", + "et ary", + "Ġpromot ing", + "ĠSh ips", + "Ġdef ended", + "ar u", + "Ġkid n", + "F or", + "ĠRo om", + "f ilm", + "Ġrad ical", + "Ġpet ition", + "Ġa thlete", + "Ġsuit able", + "col span", + "V P", + "ĠC hess", + "Ġpict ures", + "ĠF ra", + "ang le", + "ĠR ut", + "uss els", + "ĠShakespe are", + "Ġg iant", + "ĠLi u", + "ĠS ter", + "it ic", + "O r", + "rie ved", + "c or", + "H z", + "ĠAmaz on", + "Ġun incorporated", + "t ains", + "Ġinterview s", + "Ġf at", + "Ġvir us", + "Ġincre ases", + "fr ont", + "c ott", + "ĠL ak", + "Ġwealth y", + "Ġrep orter", + "Ġdiplom atic", + "art et", + "ĠJohann es", + "Ġm aps", + "Ġminist ry", + "Ġrestaur ants", + "m ir", + "ili ar", + "Ġan alog", + "writ ten", + "umber land", + "te g", + "Ġ185 4", + "Ġegg s", + "Ġinflu ences", + "b oys", + "ĠRe ed", + "ĠBenn ett", + "ĠJama ica", + "or ious", + "ĠK ill", + "Ġor n", + "form s", + "ĠE SP", + "Ġt ies", + "ĠN ame", + "4 00", + "Ġlat est", + "cul es", + "ĠBu enos", + "Ġfight ers", + "Ġdo ors", + "Ġdist ribut", + "Ġconf ig", + "ĠLe ic", + "il o", + "Ġm it", + "Ġre aches", + "Ġm amm", + "ic ia", + "ro y", + "ĠCh i", + "Ġinn ov", + "20 23", + "Ġcl ock", + "Ġhel ps", + "Ġthe rm", + "ĠK ate", + "ĠL ess", + "l ag", + "ĠN ancy", + "C o", + "Ġreleg ated", + "pt y", + "Ġchalleng es", + "ĠCab inet", + "ĠGe off", + "zegov ina", + "ir ms", + "ĠK arn", + "ĠK as", + "ĠF olk", + "Ġne uro", + "f a", + "ph is", + "ĠL ett", + "ĠFor um", + "ĠF oster", + "enh agen", + "ĠB ros", + "ĠMan it", + "Ġin put", + "Ġge omet", + "Ġmet ropolitan", + "ĠCypr us", + "Ġ9 1", + "Ġpers u", + "ens on", + "p ubl", + "Ġexp and", + "Ġcollabor ated", + "ang ular", + "O L", + "Ġinc om", + "ĠGrand e", + "Ġdr um", + "Ġfl ights", + "Ġd angerous", + "Ġprepar ation", + "ĠS old", + "ĠPan ama", + "iv o", + "vel t", + "ĠMont ene", + "ateg ory", + "Ġr andom", + "ph ib", + "Ġfif teen", + "Ġrecogn ised", + "196 6", + "ĠViet namese", + "ĠK ol", + "ĠGoth ic", + "ĠSus sex", + "ĠRe ading", + "Ġbi ological", + "oy age", + "Ġhunt ing", + "Ġsy mp", + "ĠK or", + "Ġc ouncill", + "ĠC raw", + "ĠEncyclop edia", + "ĠConc ert", + "ĠLiter ary", + "ou ch", + "Ġland ed", + "ĠTod d", + "ĠI sh", + "Ġathlet ics", + "as hes", + "196 4", + "J une", + "Ġhy per", + "Ġdoes n", + "Ġsim pl", + "Ġdomin ant", + "ĠRelig ious", + "Ġadvent ure", + "Ġfor g", + "ĠB rid", + "ett i", + "Ġapp re", + "ok o", + "Ġgu ar", + "Ġsm ooth", + "by ter", + "Ġb er", + "ĠDe b", + "Ġcle arly", + "Ġfin ance", + "ed ed", + "Ġtemper atures", + "Ġ185 5", + "ul ating", + "ĠO wn", + "ic ing", + "ĠV ar", + "ĠSh oot", + "ĠTr in", + "Ġbut ter", + "A pril", + "A ugust", + "not es", + "ie v", + "ĠC N", + "Ġdep ict", + "ĠM obile", + "ĠSalv ador", + "ĠLuc as", + "Ġ185 8", + "ĠG y", + "Ġsc ores", + "ĠP ent", + "E M", + "Ġreport ing", + "ĠPet e", + "ĠEm ir", + "ur as", + "um er", + "ĠArt icles", + "ĠCzech oslovak", + "Ġchar ter", + "Ġf asc", + "ĠB ased", + "Ġdesign ation", + "ĠG mina", + "Ġm arch", + "Ġ18 00", + "ĠEd itor", + "Ġthere after", + "ĠPro per", + "ĠAm bassador", + "ĠAlban ian", + "Ġ rib", + "Ġw aste", + "ats u", + "Ġdepart ed", + "ĠD y", + "Ġfem in", + "ĠC itations", + "ĠZh ang", + "Ġbelie ves", + "ib ilities", + "Le ague", + "Ġs ample", + "ĠP on", + "ĠGram my", + "es a", + "ran k", + "Ġsumm it", + "Ġcompos itions", + "Ġrest ricted", + "l en", + "re f", + "Ġinte gr", + "ĠD ale", + "ric ks", + "re ction", + "art s", + "ĠAng els", + "Ġa viation", + "Ġaccess ible", + "it us", + "ĠHar bor", + "ĠD as", + "ĠM ull", + "ĠM umb", + "Ġs ket", + "Ġvis its", + "ĠE t", + "ĠR i", + "Ġdepart ments", + "Ġ9 4", + "on na", + "ĠG ur", + "row s", + "ock et", + "Ġlegisl ature", + "ĠJun ction", + "Ġearthqu ake", + "ĠP ract", + "Ġvent ure", + "ĠKenn eth", + "ĠC itiz", + "be k", + "ĠPopul ar", + "Ġtr ump", + "z on", + "J apan", + "ific ate", + "ĠAn y", + "Ġdel ayed", + "Ġbon us", + "c in", + "ĠZ imb", + "Ġdep icted", + "ĠIraq i", + "Ġfast est", + "ĠMc D", + "f ree", + "ĠS uff", + "Ġbrig ade", + "Ġpian ist", + "Ġpre t", + "D R", + "d ess", + "ra h", + "ad ian", + "ĠC yr", + "Ġn inet", + "ĠG ren", + "Ġsympt oms", + "Ġmach ines", + "Ġt el", + "Ġb aby", + "al m", + "t wo", + "Ġel igible", + "ĠF ul", + "ĠN as", + "ĠSant iago", + "ĠK w", + "Ġph arm", + "l og", + "ĠNov els", + "Ġac res", + "uch i", + "if ts", + "Ġclos ure", + "Ġacadem y", + "Ġsl aves", + "ĠEag le", + "ĠCo x", + "19 40", + "B L", + "aj i", + "ill on", + "ĠDec ision", + "Oct ober", + "Ġsound s", + "ĠHer zegovina", + "Ġf ee", + "g ments", + "Ġra bb", + "Ġlay er", + "ĠP om", + "cf c", + "Ġdemonst rated", + "om orph", + "ĠMe g", + "Ġg ram", + "ĠFinal ly", + "ĠAm ateur", + "Ġpre st", + "ĠE k", + "Ġnovel ists", + "ĠM C", + "Ġch ron", + "Ġinsp iration", + "ĠRail ways", + "Ġne phew", + "apt ers", + "Ġleg acy", + "ĠL isa", + "Ġ els", + "m n", + "ĠX X", + "Ġn ut", + "Ġtrans m", + "u ke", + "ploy ment", + "Ġt ested", + "Ġdev oted", + "ĠL az", + "Ġpre ferred", + "Ġc avalry", + "Ġf ill", + "Ġgu ests", + "ĠEle ctoral", + "ĠArmen ia", + "Ġam bassador", + "ĠWild life", + "over ed", + "ĠK re", + "ok es", + "ĠOver view", + "ash ire", + "Ġcorrespond ing", + "Ġgu itars", + "ĠS aw", + "Ġcon stitut", + "ĠA ch", + "Ġarrang ements", + "ĠEd mund", + "ĠGu ards", + "Ġcert ified", + "Ġdis ch", + "Ġbl og", + "Ġ184 9", + "on ne", + "Ġp ointed", + "ĠTh ose", + "ĠB anks", + "Ġline ar", + "b ing", + "anim ous", + "Ġburn ed", + "b ie", + "e an", + "ĠM ade", + "ab we", + "Ġattempt ing", + "Ġus age", + "Ġsub sc", + "ĠD j", + "em ies", + "Ġupd ated", + "ĠM n", + "ĠR overs", + "Ġshop ping", + "mar ks", + "ĠOw en", + "ĠRo ose", + "ren cy", + "Ġaltern ate", + "ĠP ick", + "Ġco oper", + "Ġstruct ural", + "Ġide al", + "Ġen h", + "b ank", + "h all", + "ag ers", + "at ics", + "ĠB il", + "ĠTw enty", + "Ġhor iz", + "ric a", + "count ry", + "Ġro cks", + "Ġ185 6", + "ĠMarc us", + "or ge", + "ĠP ep", + "19 18", + "Ġs aved", + "ens en", + "ĠCom edy", + "mon th", + "Ġav o", + "Ġ185 2", + "Ġcon fess", + "Ġr id", + "ĠD uc", + "Ġlist ings", + "ĠI P", + "ĠP iet", + "Ġext end", + "Ġr iding", + "Ġvert ical", + "ĠMan ila", + "ĠRelig ion", + "ĠM TV", + "ĠAn a", + "Ġinher ited", + "Ġwid er", + "b as", + "i ens", + "ĠGl ou", + "Ġde emed", + "ĠLithuan ia", + "ĠMar x", + "Ġgard ens", + "rup ted", + "Ġanim ation", + "ĠSh op", + "ĠInd igenous", + "ro d", + "Ġs iege", + "uck er", + "Ġwid th", + "en er", + "ind a", + "O ne", + "ĠC rist", + "az i", + "ĠS of", + "ĠV il", + "ĠG ael", + "c ano", + "Ġtor ped", + "ĠB un", + "Ġrev ised", + "Ġappro ached", + "U P", + "Ġqual ification", + "s he", + "Ġrele vant", + "Ġindust ries", + "Ġres umed", + "ĠS ene", + "ĠEston ian", + "ĠBro oks", + "Ġen rolled", + "am ation", + "ĠTe xt", + "ĠH ass", + "ro oms", + "ĠWinn er", + "T e", + "Ġdep ression", + "Ġpers pective", + "ĠM am", + "Ġrec alled", + "Ġt um", + "ĠN ine", + "ĠRod rig", + "ĠP or", + "z ing", + "Ġcan al", + "Ġpract ical", + "Ġrecover y", + "Ġab olished", + "ĠA ur", + "p ost", + "ĠLe x", + "ĠOb ama", + "ut ed", + "od ia", + "ĠEx hibition", + "ĠCol in", + "intend o", + "Ġbrand s", + "ĠMoroc co", + "ĠIn spe", + "Ġchem istry", + "ĠCirc le", + "ĠLux emb", + "Ġrare ly", + "ers e", + "Ġto t", + "Ġneut ral", + "Ġels ewhere", + "ĠMc L", + "arch y", + "ĠLanc ashire", + "ĠVol unte", + "Ġpric es", + "il ian", + "ĠB elf", + "f our", + "Ġcons olid", + "Ġinh ab", + "ish i", + "O P", + "bor o", + "ĠSe x", + "Se ptember", + "at on", + "Ġpower ed", + "ĠF ras", + "De cember", + "ĠI F", + "Ġbirth day", + "st ed", + "et e", + "Ġfarm ing", + "ĠM ine", + "ĠL A", + "Ġg auge", + "Ġpro secut", + "is p" + ] + } +} \ No newline at end of file diff --git a/models/components/layers/tokenizer_models/bpe_en_wiki_1300_simplified.model b/models/components/layers/tokenizer_models/bpe_en_wiki_1300_simplified.model new file mode 100644 index 00000000..c6aab7f3 --- 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u", + "ain ed", + "ĠB o", + "en e", + "i or", + "p le", + "Ġg u", + "g ram", + "1 7", + "ĠE d", + "is c", + "Ġfor mer", + "ĠC ol", + "ĠNov ember", + "it al", + "Ġse ver", + "iss ion", + "ĠA m", + "ĠEng lish", + "Ġan n", + "Ġw on", + "i um", + "in es", + "e c", + "he s", + "port s", + "Ġdes ign", + "p or", + "ic ip", + "ce pt", + "ĠRe g", + "ĠW ill", + "ĠDe cember", + "Ġm at", + "ĠC ity", + "Ġ1 4", + "ra ct", + "ĠF l", + "aj or", + "Ġdes c", + "y l", + "ros s", + "Ġ1 3", + "Ġl ife", + "Ġare a", + "im es", + "ir d", + "Ġst art", + "ĠC al", + "ĠA f", + "Ġor gan", + "r is", + "duc ed", + "Ġop en", + "Ġf eat", + "are d", + "ĠSt ate", + "re t", + "f l", + "Ġg ame", + "ag es", + "Ġd if", + "v ent", + "res ident", + "Ġr un", + "k et", + "u es", + "Ġfilm s", + "l ed", + "ro p", + "Ġpro du", + "p art", + "Ġ1 1", + "ar m", + "et y", + "Ġm en", + "Ġ201 0", + "Ġcl ass", + "ograph y", + "Ġ2 1", + "y le", + "Ġex t", + "ap an", + "il t", + "eb ru", + "Ġs m", + "lev ision", + "ebru ary", + "Ġpubl ic", + "un g", + "ĠK ing", + "ĠI I", + "Ġst ate", + "Ġsy stem", + "ĠP ar", + "Ġl ong", + "Ġo b", + "ual ly", + "Ġd r", + "ar ch", + "ĠB ro", + "f ul", + "Ġf inal", + "Ġc areer", + "il it", + "n er", + "ĠH is", + "Ġs ame", + "ul ar", + "an c", + "a use", + "Ġcall ed", + "am b", + "vi ew", + "Ġfollow ing", + "ĠF ebruary", + "in c", + "z e", + "ov e", + "y n", + "Ġret urn", + "Ġf in", + "on y", + "Ġc ity", + "Ġw ill", + "iv ision", + "ĠEuro pe", + "ĠS w", + "a f", + "h ip", + "Ġch ild", + "r at", + "al es", + "ak ing", + "Ġsever al", + "Ġcomm un", + "ren ch", + "il ity", + "Ġw omen", + "re nt", + "oin t", + "ĠM ed", + "or ks", + "ĠJ apan", + "s p", + "an ge", + "ch n", + "ial ly", + "c om", + "c on", + "ure d", + "Ġl ist", + "Ġs uc", + "ĠGe or", + "p ed", + "Ġe arly", + "Ġa ir", + "ĠB ar", + "Ġcont in", + "Ġ '", + "Ġto wn", + "Ġcomp et", + "Ġcl ub", + "ĠE l", + "Ġm in", + "Ġres ult", + "h am", + "ib le", + "1 2", + "ĠA nd", + "ĠH ar", + "ĠH istory", + "is ed", + "al ly", + "Ġs ince", + "ic es", + "ain s", + "st er", + "19 9", + "ĠThe y", + "ĠP art", + "b o", + "r ing", + "Ġn ear", + "ang u", + "Ġn amed", + "Ġorig inal", + "end ed", + "u ed", + "ĠCh rist", + "at a", + "Ġhe ad", + "ĠA b", + "1 6", + "Ġb el", + "Ġdis c", + "Ġpl ace", + "ĠF rench", + "id ed", + "i ence", + "Ġ201 1", + "ĠRe p", + "Ġc ur", + "Ġbe gan", + "il le", + "Ġt it", + "Ġus e", + "iv al", + "an e", + "re en", + "Ġpro gram", + "ĠU S", + "Ġv ill", + "Ġm ember", + "Ġm embers", + "1 5", + "Ġp rom", + "Ġhe ld", + "Ġan y", + "Ġl and", + "ĠCom p", + "Ġb ased", + "ain t", + "ĠR es", + "ĠM c", + "Ġthe se", + "Ġcomp le", + "b le", + "Ġap p", + "m e", + "Ġsup port", + "oun c", + "ĠAf ric", + "al ity", + "Ġg overnment", + "r ight", + "Ġ200 8", + "ĠR uss", + "Ġm et", + "Ġ201 2", + "Ġw e", + "ĠR o", + "a ugh", + "Ġ19 0", + "ĠA ir", + "Ġestabl ished", + "i ous", + "Ġal ong", + "Ġe ff", + "t he", + "Ġ ," + ] + } +} \ No newline at end of file diff --git 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ow", + "ĠC ent", + "a id", + "Ġoff ic", + "Ġbu ild", + "Ġde velop", + "Ġo per", + "ĠOct ober", + "olog y", + "Ġg o", + "el f", + "Ġfam ily", + "Ġun til", + "Ġc ap", + "le v", + "ĠM an", + "x t", + "Ġm usic", + "Ġm ay", + "pr il", + "iz ed", + "ow ever", + "ĠJ une", + "a u", + "r and", + "Ġo wn", + "f ess", + "Ġn o", + "Ġre p", + "ĠJan uary", + "ic a", + "Ġor ig", + "er y", + "Ġm ain", + "m ber", + "Ġm od", + "Ġh igh", + "ĠAs s", + "ĠJu ly", + "en g", + "ĠAl l", + "Ġbir ths", + "emb ers", + "ĠC ar", + "1 0", + "l ish", + "ist or", + "Ġch ar", + "Ġb oth", + "ĠN orth", + "Ġplay ed", + "olle ge", + "Ġm on", + "Ġman y", + "Ġnum ber", + "ot t", + "et s", + "ĠC o", + "ĠLe ague", + "Ġex p", + "om an", + "Ġn ame", + "ut h", + "ampion ship", + "ĠA pril", + "cent ury", + "ward s", + "Ġb ack", + "Ġ19 2", + "ant s", + "v ed", + "i ent", + "ĠCan ad", + "ĠE uro", + "it t", + "ĠSe e", + "Ġrele ased", + "ce mber", + "Ġe m", + "st ru", + "ĠG u", + "ain ed", + "ĠB o", + "en e", + "i or", + "p le", + "Ġg u", + "g ram", + "1 7", + "ĠE d", + "is c", + "Ġfor mer", + "ĠC ol", + "ĠNov ember", + "it al", + "Ġse ver", + "iss ion", + "ĠA m", + "ĠEng lish", + "Ġan n", + "Ġw on", + "i um", + "in es", + "e c", + "he s", + "port s", + "Ġdes ign", + "p or", + "ic ip", + "ce pt", + "ĠRe g", + "ĠW ill", + "ĠDe cember", + "Ġm at", + "ĠC ity", + "Ġ1 4", + "ra ct", + "ĠF l", + "aj or", + "Ġdes c", + "y l", + "ros s", + "Ġ1 3", + "Ġl ife", + "Ġare a", + "im es", + "ir d", + "Ġst art", + "ĠC al", + "ĠA f", + "Ġor gan", + "r is", + "duc ed", + "Ġop en", + "Ġf eat", + "are d", + "ĠSt ate", + "re t", + "f l", + "Ġg ame", + "ag es", + "Ġd if", + "v ent", + "res ident", + "Ġr un", + "k et", + "u es", + "Ġfilm s", + "l ed", + "ro p", + "Ġpro du", + "p art", + "Ġ1 1", + "ar m", + "et y", + "Ġm en", + "Ġ201 0", + "Ġcl ass", + "ograph y", + "Ġ2 1", + "y le", + "Ġex t", + "ap an", + "il t", + "eb ru", + "Ġs m", + "lev ision", + "ebru ary", + "Ġpubl ic", + "un g", + "ĠK ing", + "ĠI I", + "Ġst ate", + "Ġsy stem", + "ĠP ar", + "Ġl ong", + "Ġo b", + "ual ly", + "Ġd r", + "ar ch", + "ĠB ro", + "f ul", + "Ġf inal", + "Ġc areer", + "il it", + "n er", + "ĠH is", + "Ġs ame", + "ul ar", + "an c", + "a use", + "Ġcall ed", + "am b", + "vi ew", + "Ġfollow ing", + "ĠF ebruary", + "in c", + "z e", + "ov e", + "y n", + "Ġret urn", + "Ġf in", + "on y", + "Ġc ity", + "Ġw ill", + "iv ision", + "ĠEuro pe", + "ĠS w", + "a f", + "h ip", + "Ġch ild", + "r at", + "al es", + "ak ing", + "Ġsever al", + "Ġcomm un", + "ren ch", + "il ity", + "Ġw omen", + "re nt", + "oin t", + "ĠM ed", + "or ks", + "ĠJ apan", + "s p", + "an ge", + "ch n", + "ial ly", + "c om", + "c on", + "ure d", + "Ġl ist", + "Ġs uc", + "ĠGe or", + "p ed", + "Ġe arly", + "Ġa ir", + "ĠB ar", + "Ġcont in", + "Ġ '", + "Ġto wn", + "Ġcomp et", + "Ġcl ub", + "ĠE l", + "Ġm in", + "Ġres ult", + "h am", + "ib le", + "1 2", + "ĠA nd", + "ĠH ar", + "ĠH istory", + "is ed", + "al ly", + "Ġs ince", + "ic es", + "ain s", + "st er", + "19 9", + "ĠThe y", + "ĠP art", + "b o", + "r ing", + "Ġn ear", + "ang u", + "Ġn amed", + "Ġorig inal", + "end ed", + "u ed", + "ĠCh rist", + "at a", + "Ġhe ad", + "ĠA b", + "1 6", + "Ġb el", + "Ġdis c", + "Ġpl ace", + "ĠF rench", + "id ed", + "i ence", + "Ġ201 1", + "ĠRe p", + "Ġc ur", + "Ġbe gan", + "il le", + "Ġt it", + "Ġus e", + "iv al", + "an e", + "re en", + "Ġpro gram", + "ĠU S", + "Ġv ill", + "Ġm ember", + "Ġm embers", + "1 5", + "Ġp rom", + "Ġhe ld", + "Ġan y", + "Ġl and", + "ĠCom p", + "Ġb ased", + "ain t", + "ĠR es", + "ĠM c", + "Ġthe se", + "Ġcomp le", + "b le", + "Ġap p", + "m e", + "Ġsup port", + "oun c", + "ĠAf ric", + "al ity", + "Ġg overnment", + "r ight", + "Ġ200 8", + "ĠR uss", + "Ġm et", + "Ġ201 2", + "Ġw e", + "ĠR o", + "a ugh", + "Ġ19 0", + "ĠA ir", + "Ġestabl ished", + "i ous", + "Ġal ong", + "Ġe ff", + "t he", + "Ġ ,", + "ĠE ast", + "ĠCh ampionship", + "Ġdesc rib", + "T he", + "in ess", + "Ġen g", + "ition s", + "ĠC ollege", + "Ġp ass", + "ĠWill iam", + "ĠG en", + "an a", + "od e", + ". .", + "Ġd ist", + "pe ct", + "al th", + "ad em", + "Ġ200 9", + "Ġloc ated", + "ur g", + "u k", + "ĠThe re", + "at or", + "ical ly", + "ĠH er", + "or m", + "ac ed", + "Ġd id", + "Ġl aw", + "in o", + "Ġc ol", + "Ġo cc", + "Ġchar act", + "che s", + "f ord", + "ĠAr t", + "c ol", + "at s", + "i en", + "ubl ic", + "ĠP eople", + "Ġp os", + "Ġy ou", + "Ġ201 3", + "ond on", + "ĠN e", + "oci ation", + "ĠIt al", + "Ġ200 6", + "Ġ200 7", + "Ġh ouse", + "Ġe ach", + "t o", + "ĠH igh", + "ing ton", + "ore d", + "Ġ201 4", + "ro w", + "Ġ201 6", + "Ġserv ed", + "our t", + "ĠF ilm", + "Ġto ok", + "qu e", + "Ġs im", + "k y", + "Ġ X", + "1 4", + "ĠRe c", + "Ġb and", + "Ġt r", + "Ġst ation", + "Ġh ome", + "ĠD istrict", + "Ġb us", + "av ing", + "ĠS y", + "ĠIn ternational", + "Ġb orn", + "Ġg ames", + "Ġn ational", + "m ed", + "ly mp", + "i et", + "ĠA c", + "Ġin st", + "Ġ201 5", + "re w", + "er g", + "Ġpro fess", + "in ed", + "Ġ201 8", + "ight s", + "p s", + "Ġcomp any", + "Ġl ine", + "Ġp erson", + "1 3", + "ĠO lymp", + "Ġpopul ation", + "Ġm ajor", + "Ġ18 9", + "ac es", + "our n", + "Ġ20 20", + "ĠD av", + "ill ion", + "ĠL iving", + "ĠL ondon", + "Ġ201 7", + "ĠSe c", + "Ġs l", + "Ġb as", + "Ġj oin", + "Ġsm all", + "Ġle g", + "Ġloc al", + "ĠInd ian", + "ĠL a", + "ard s", + "Ġv ari", + "Ġrece ived", + "Ġde b", + "Ġev ent", + "Ġ2 5", + "Ġgen eral", + "Ġman ag", + "Ġpubl ished", + "Ġte levision", + "ĠC up", + "et t", + "Ġcent ury", + "ĠN ot", + "ilit ary", + "s ide", + "et er", + "Ġ3 0", + "at ure", + "Ġ201 9", + "Ġsing le", + "Ġbu ilt", + "ĠS up", + "Ġv i", + "ĠPh il", + "a ul", + "Ġd ue", + "Ġc ould", + "Ġv ers", + "ĠH owever", + "Ġ $", + "Ġap pro", + "ar ge", + "Ġw orld", + "Ġspec ies", + "ar a", + "Ġc olle", + "um n", + "Ġsuc cess", + "ie f", + "ounc il", + "Ġp o", + "v ers", + "Ġst r", + "in t", + "Ġa round", + "ord ing", + "if ied", + "ĠA ng", + "uth or", + "id es", + "at ely", + "om in", + "ĠG l", + "Ġo ld", + "Ġed uc", + "ĠT r", + "arri ed", + "ĠL ist", + "ĠN o", + "Ġt erm", + "is on", + "ro l", + "ĠC or", + "um mer", + "Ġa ge", + "ff ic", + "l ing", + "ĠT ra", + "ĠH ouse", + "Ġhe l", + "Ġal ign", + "Ġe p", + "ord s", + "e f", + "oc ial", + "ĠP ark", + "r ation", + "Ġp resent", + "ĠP re", + "Ġle ft", + "Ġl ast", + "Ġs ix", + "ĠE n", + "Ġh istory", + "Ġn ow", + "i od", + "a im", + "Ġs aid", + "ĠS an", + "Ġt y", + "Ġ200 0", + "Ġrep resent", + "re et", + "a us", + "id d", + "ra ft", + "t t", + "Ġd ied", + "Ġplay er", + "op h", + "Ġ 0", + "Ġre st", + "1 1", + "Ġc amp", + "iz ation", + "ĠD uring", + "Ġc ar", + "Ġl a", + "um b", + "angu age", + "Ġto p", + "ne y", + "Ġp ar", + "ĠB r", + "on es", + "Ġvill age", + "Ġwith in", + "ĠM ich", + "Ġd et", + "iv en", + "Ġst yle", + "Ġf ive", + "Ġ200 5", + "Ġt ri", + "Ġn orth", + "Ġsh ort", + "Ġ2 4", + "v an", + "ĠR oy", + "Ġor der", + "ide o", + "Ġ18 8", + "Ġd ay", + "in k", + "ĠD es", + "o ks", + "et her", + "u f", + "Ġdescrib ed", + "ak es", + "s c", + "ow s", + "ur ther", + "19 8", + "ent ly", + "Ġth ird", + "Ġbuild ing", + "al k", + "Ġinclud e", + "ĠR iver", + "Ġinclud ed", + "Ġp ost", + "um ent", + "Ġd own", + "ast er", + "if orn", + "ĠP er", + "Ġdif fer", + "d ay", + "he m", + "ĠA g", + "Ġchild ren", + "Ġre port", + "ur s", + "ĠEng land", + "c o", + "ĠCh ar", + "Ġ202 1", + "att le", + "Ġre f", + "vi ous", + "Ġre qu", + "ĠS ch", + "ĠA ct", + "n a", + "er a", + "feren ce", + "Ġbec ause", + "ke y", + "t ain", + "iforn ia", + "Ġad m", + "ĠB y", + "th ough", + "Ġann oun", + "Ġl arge", + "Ġcons id", + "iv ely", + "re g", + "ĠG ro", + "ĠM al", + "Ġs outh", + "g round", + "Ġs on", + "ĠAustral ia", + "Ġ200 4", + "ic o", + "Ġd em", + "rid ge", + "ri end", + "Ġd istrict", + "ĠCal ifornia", + "l er", + "col or", + "Ġst and", + "ĠP ort", + "ĠB ra", + "Ġm ark", + "ĠM on", + "os p", + ". ,", + "use um", + "ct ure", + "Ġar ch", + "Ġp ower", + "inn ing", + "Ġst at", + "Ġbo ok", + "uc k", + "od y", + "ĠY ou", + "ĠPart y", + "en cy", + "Ġl o", + "Ġdeath s", + "ri pt", + "Ġ202 2", + "Ġc rit", + "ad io", + "it er", + "part ment", + "land s", + "in ing", + "Ġw ar", + "con om", + "um an", + "Ġappe ar", + "Ġc or", + "ĠD em", + "Ġm ale", + "Ġl arg", + "k a", + "Ġis s", + "ĠR oman", + "re st", + "Ġ18 6", + "Ġj ust", + "ist er", + "Ġ2 2", + "Ġre pl", + "ĠB el", + "c er", + "al d", + "al f", + "Ġw ater", + "Ġserv ice", + "g ed", + "Ġper iod", + "Ġn on", + "Ġper form", + "Ġadd ition", + "n ess", + "Ġres p", + "v es", + "Ġk ill", + "am ent", + "oci ety", + "ĠA nt", + "Ġde p", + "ee k", + "Ġv is", + "he l", + "our s", + "e le", + "Ġre fer", + "ĠS m", + "a ff", + "er ing", + "ĠO ne", + "Ġmov ed", + "ĠA ward", + "en se", + "Ġc r", + "ĠE m", + "Ġdiffer ent", + "iz e", + "Ġcur rent", + "ĠAustral ian", + "Ġro und", + "Ġl ike", + "ot e", + "rib ut", + "5 0", + "ĠAr my", + "Ġ2 3", + "Ġinc re", + "om b", + "Ġm illion", + "Ġl ed", + "k i", + "l ine", + "ĠN or", + "p ar", + "Ġt rad", + "Ġbus iness", + "am a", + "ĠA cc", + "t al", + "av y", + "her n", + "ĠM inist", + "Ġan other", + "Ġth ose", + "o on", + "Ġh istor", + "ĠR ober", + "op s", + "o f", + "Ġsh ip", + "Ġ18 7", + "Ġe qu", + "Ġst ill", + "and er", + "Ġ if", + "Ġf ather", + "Ġ el", + "Ġf ield", + "Ġw est", + "ĠJ ames", + "Ġd el", + "ĠInd ia", + "Ġex per", + "Ġa uthor", + "i ber", + "ĠM or", + "ĠSt e", + "d e", + "ep end", + "Ġf ac", + "c hed", + "iv il", + "Ġact iv", + "Ġh and", + "Ġcomp os", + "ĠCh urch", + "ĠM usic", + "Ġbe st", + "ĠGen eral", + "ĠFran ce", + "Ġp ort", + "Ġk m", + "o x", + "Ġannoun ced", + "Ġin ternational", + "Ġdeb ut", + "stru ction", + "Ġtit le", + "Ġcount ry", + "d om", + "ĠQ u", + "Ġs old", + "Ġf em", + "ĠTh om", + "Ġw in", + "as es", + "Ġ200 3", + "v ille", + "Ġ( )", + "Ġestabl ish", + "ĠY ear", + "19 7", + "u el", + "Ġcharact er", + "Ġe ast", + "Ġpolit ic", + "ĠGeor ge", + "ĠD ivision", + "f ield", + "un icip", + "us h", + "Ġs ide", + "c ast", + "Ġp at", + "Ġd ra", + "b e", + "ĠRoy al", + "Ġc ult", + "ourn al", + "ĠA p", + "an ish", + "re ad", + "Ġn ov", + "Ġa v", + "g color", + "Ġpre vious", + "ĠM ount", + "g in", + "Ġm ake", + "ĠEurope an", + "Ġ very", + "ri es", + "a el", + "ĠQ ue", + "ĠP e", + "ort hern", + "Ġa ward", + "ĠCl ub", + "ĠCanad ian", + "Ġset t", + "ug g", + "ĠAc adem", + "Ġele ction", + "Ġpro ject", + "ip p", + "l in", + "le x", + "ĠP al", + "Ġam ong", + "m s", + "ap p", + "ab or", + "Ġw orks", + "ĠV al", + "ĠG r", + "Ġ2 6", + "ĠCanad a", + "Ġ200 2", + "ĠE le", + "i us", + "ĠR ich", + "Ġf r", + "al ign", + "Ġro le", + "g es", + "Ġpro duced", + "ĠW hen", + "w ork", + "ĠP aul", + "Ġf e", + "Ġm ag", + "pl oy", + "for man", + "Ġle vel", + "ĠB u", + "o ff", + "Ġof ten", + "ol ution", + "Ġa ff", + "Ġl ate", + "Ġs pe", + "Ġre ad", + "Ġw eb", + "a pe", + "ĠDav id", + "ĠC ouncil", + "Ġth ough", + "Ġinv ol", + "Ġre se", + "Ġb gcolor", + "ĠF ootball", + "Ġp e", + "Ġ199 0", + "it ar", + "st on", + "at ch", + "Ġwrit ten", + "Ġex pl", + "Ġ2 8", + "Ġ2 7", + "or ies", + "im ent", + "ĠL ou", + "Ġeng ine", + "Ġf ore", + "ĠH ol", + "Ġep is", + "ĠAss ociation", + "Ġ es", + "stit ute", + "Ġad v", + "b ack", + "Ġte chn", + "ac ks", + "Ġ200 1", + "ĠW ith", + "b an", + "ĠR ed", + "Ġstart ed", + "Ġev en", + "ĠD r", + "umn i", + "Ġyou ng", + "Ġp oss", + "Ġall ow", + "o le", + "em pt", + "Ġcl os", + "iv id", + "o e", + "ro te", + "Ġm arried", + "it or", + "Ġg rad", + "ĠR ail", + "v al", + "Ġc ame", + "Ġoffic ial", + "Ġin it", + "Ġc over", + "Ġim port", + "ĠP resident", + "Ġcre ated", + "ĠAmer ica", + "ou ther", + "Ġw ent", + "form ation", + "Ġg iven", + "Ġs ite", + "Ġto tal", + "ol ic", + "g y", + "ir c", + "ĠSt reet", + "al t", + "Ġst ru", + "Ġe very", + "ĠF irst", + "Ġt urn", + "outher n", + "Ġcommun ity", + "y a", + "ĠF rom", + "ĠS ing", + "er ation", + "w est", + "oin ted", + "ĠSt ud", + "3 0", + "Ġjoin ed", + "ra p", + "om et", + "Ġv al", + "Ġeff ect", + "ĠH istor", + "it te", + "ĠK h", + "Ġra il", + "ot s", + "Ġpolit ical", + "Ġch ang", + "Ġwork ed", + "Ġwh at", + "Ġp res", + "Ġcon c", + "i j", + "Ġvari ous", + "ir on", + "Ġf re", + "Ġdevelop ment", + "ag o", + "ber t", + "ĠS en", + "ree k", + "ĠT own", + "Ġcon f", + "pos ed", + "s ite", + "ĠT rans", + "b or", + "ir l", + "Ġpro cess", + "m a", + "Ġ1 00", + "Ġt w", + "Ġv ideo", + "e al", + "Ġprofess ional", + "Ġele ct", + "her s", + "Ġf act", + "Ġm ilitary", + "ĠS l", + "ac hed", + "' t", + "ĠUn ion", + "Ġvers ion", + "at ic", + "olog ical", + "at ri", + "ĠGerman y", + "op e", + "re am", + "ĠGro up", + "Ġm uch", + "s elf", + "Ġpro te", + "Ġprodu ction", + "Ġh aving", + "Ġne xt", + "Ġcomm on", + "Ġb re", + "Ġcl aim", + "Ġbec ome", + "Ġspec ial", + "Ġg r", + "h old", + "ĠM art", + "Ġs ent", + "ĠH en", + "Ġm iss", + "Ġh ost", + "ĠB er", + "og n", + "Ġs w", + "ĠJ e", + "h ib", + "ĠV ir", + "ĠM ary", + "ĠM ag", + "Ġ198 0", + "ĠS er", + "ĠRo ad", + "o or", + "Ġus ing", + "ĠW e", + "Ġp ri", + "ĠBl ack", + "ĠAr ch", + "Ġ [", + "Ġdire ct", + "Ġreturn ed", + "ĠMe x", + "19 6", + "Ġw rote", + "Ġint ro", + "ĠP ri", + "Ġs it", + "Ġp resident", + "Ġpr im", + "m en", + "Ġt em", + "ĠItal ian", + "ĠM y", + "ĠJapan ese", + "Ġ199 9", + "est s", + "Ġ2 9", + "Ġg l", + "ĠAfric an", + "in ation", + "ĠT ur", + "Ġpos ition", + "Ġmat ch", + "h a", + "Ġan t", + "ict ion", + "ĠL aw", + "Ġdire ctor", + "i ography", + "m ing", + "ĠH all", + "oin ts", + "Ġteam s", + "Ġt ake", + "ĠW omen", + "Ġm ult", + "Ġch urch", + "Ġsong s", + "fl u", + "ĠThe se", + "Ġopen ed", + "Ġper forman", + "B C", + "ct s", + "il ar", + "ĠComm un", + "ĠW ash", + "ĠPro v", + "ivid ual", + "Ġf ew", + "Ġev ents", + "id a", + "Ġf un", + "ell ow", + "ĠG ames", + "Ġbe h", + "se qu", + "ĠS am", + "ĠRober t", + "arl iam", + "Ġv ol", + "ak en", + "ib r", + "itt le", + "ĠRuss ian", + "ĠLe g", + "an i", + "ent ion", + "e ad", + "ĠCh ina", + "oc rat", + "u le", + "ĠB est", + "l o", + "arliam ent", + "ar ian", + "g er", + "C A", + "ĠSc ott", + "2 1", + "Ġt imes", + "t ra", + "Ġst ory", + "Ġs ol", + "ĠO ther", + "ec ut", + "Ġpart icip", + "Ġw ay", + "Ġv oc", + "Ġfootball ers", + "y ing", + "ri an", + "Ġalbum s", + "ĠAcc ording", + "augh ter", + "Ġbe g", + "Ġh ig", + "ĠM ad", + "est ed", + "ĠC ap", + "ĠPl ay", + "un t", + "Ġf riend", + "Ġ199 8", + "ĠWash ington", + "it z", + "ĠC ourt", + "n ing", + "ic le", + "Ġatt ack", + "ket ball", + "ĠM iss", + "Ġro ad", + "stit ut", + "our ces", + "itte e", + "il es", + "an ies", + "Ġim p", + "Ġadm inist", + "ĠC ast", + "Ġpopul ar", + "Ġbro ther", + "Ġne ed", + "Ġwith out", + "ĠComp any", + "is l", + "ĠC ont", + "ĠThom as", + "at ter", + "Ġserv ices", + "ra g", + "an ces", + "a ur", + "Ġreg ion", + "end ing", + "Ġp ract", + "ĠS erv", + "Ġstud ents", + "idd le", + "Ġs k", + "Ġs ocial", + "od es", + "ĠC ath", + "Ġt er", + "ĠM en", + "ers hip", + "ĠS al", + "e x", + "wo od", + "ĠK n", + "a ign", + "Ġh alf", + "Ġbro ad", + "y ear", + "2 2", + "Ġg reat", + "Ġf ull", + "r ated", + "Ġcontin ued", + "Ġ197 0", + "Ġl ost", + "ĠA wards", + "ĠKing dom", + "ain ing", + "ĠCent ral", + "ĠS ociety", + "ac y", + "c raft", + "Ġco ach", + "y m", + "Ġm id", + "ĠM ont", + "ĠG rand", + "Ġal umni", + "ĠO p", + "us ed", + "Ġeduc ation", + "ra b", + "Ġrese arch", + "are nt", + "Ġ199 6", + "Ġatt empt", + "Ġs qu", + "Ġd ays", + "is ing", + "Ġh owever", + "ĠI r", + "b urg", + "Ġse e", + "ĠCh in", + "ens us", + "ĠRec ords", + "Ġprom ot", + "ap er", + "ĠM useum", + "4 0", + "Ġcomple ted", + "on a", + "Ġpro duc", + "Ġele cted", + "Ġapp ointed", + "ĠA lex", + "at ors", + "ĠChar les", + "ill s", + "ĠFl or", + "Ġcom b", + "ĠIs land", + "Ġinv est", + "Ġind ust", + "Ġin f", + "Ġ ident", + "est ival", + "in i", + "ĠD on", + "cent er", + "Ġpart y", + "ĠM et", + "Ġfound ed", + "Ġcont rol", + "Ġdire cted", + "ĠE duc", + "ĠCent er", + "Ġrecord ed", + "ĠTe x", + "Ġl im", + "Ġa ver", + "ific ation", + "u it", + "Ġr ight", + "ĠI m", + "r d", + "Ġ199 7", + "Ġsign ed", + "ĠE arly", + "Ġw ife", + "Ġe conom", + "ĠS ummer", + "amp le", + "l ess", + "Ġp oints", + "ber g", + "Ġpro per", + "Ġle ague", + "w h", + "as ons", + "Ġgroup s", + "Ġare as", + "2 3", + "Ġre view", + "Ġ18 5", + "Ġ /", + "ĠDe partment", + "Ġb ase", + "n el", + "Ġconsid ered", + "ish ing", + "ĠS im", + "Ġcon ne", + "Ġra ce", + "r ay", + "ĠAng el", + "ĠWest ern", + "Ġ202 3", + "ĠO ffic", + "Ġp oint", + "ĠJ ew", + "pl ay", + "Ġh on", + "ĠC he", + "Ġpart ic", + "Ġse le", + "at ural", + "ĠFran c", + "Ġre n", + "Ġf ind", + "Ġf urther", + "ĠV ict", + "j e", + "Ġm ar", + "= #", + "ĠT o", + "Ġc oll", + "ĠT V", + "Ġrel ations", + "ĠIn stitute", + "Ġc aus", + "ar ies", + "Ġv ict", + "ĠG old", + "ĠAcadem y", + "ĠLou is", + "ell s", + "Ġsim ilar", + "ĠOlymp ics", + "il i", + "Ġde g", + "ĠB ay", + "th let", + "Ġh old", + "ĠMich ael", + "Ġind ividual", + "way s", + "Ġto g", + "Ġre al", + "Ġpr iv", + "ĠG reat", + "Ġvi ew", + "ĠM ac", + "Ġweb site", + "Ġ z", + "id ence", + "ĠZ eal", + "Ġt en", + "ĠP ress", + "Ġtog ether", + "Ġ199 5", + "u ation", + "um p", + "Ġrele ase", + "ra in", + "ĠP at", + "ĠC ong", + "ĠZeal and", + "Ġ199 2", + "ric k", + "Ġin flu", + "ot a", + "ĠVir gin", + "ĠV ol", + "Ġreport ed", + "ĠChrist ian", + "Ġc ase", + "Ġappe ared", + "ĠM us", + "ĠRep ublic", + "ĠM er", + "ĠU K", + "et work", + "Ġ199 4", + "| |", + "ar ter", + "ar th", + "Ġs ports", + "Ġoff ice", + "ĠSp anish", + "ĠChin ese", + "Ġm other", + "ou l", + "ed eral", + "ĠAfric a", + "Ġtra ck", + "ĠK ore", + "m ar", + "Ġw eek", + "2 5", + "Ġ3 1", + "c ks", + "ĠT om", + "Ġ5 0", + "Ġm y", + "Ġk e", + "i que", + "Ġme et", + "Ġnov el", + "Ġcon d", + "Ġbir th", + "Ġdevelop ed", + "en c", + "Ġform ed", + "Ġin s", + "Ġh ous", + "it ive", + "y d", + "ak er", + "Ġ196 0", + "it ing", + "Ġmed al", + "ĠB ur", + "Ġhel p", + "Ġa ut", + "ĠCar ol", + "Ġgu itar", + "ad es", + "Ġla un", + "Ġass ist", + "ĠB en", + "Ġph ot", + "ĠIn ter", + "ĠT er", + "ul a", + "k n", + "ĠD an", + "ap t", + "Ġwork ing", + "e h", + "du ction", + "Ġd oc", + "Ġar r", + "Ġm aking", + "Ġimport ant", + "Ġto urn", + "c le", + "ĠG reen", + "i ers", + "Ġarch ite", + "ĠH am", + "ĠTex as", + "ail ed", + "ud e", + "re land", + "Ġart ist", + "Ġc ast", + "ĠWh ite", + "ĠP et", + "Ġgro w", + "ed y", + "Ġm unicip", + "Ġap pl", + "Ġg ood", + "im ately", + "it ted", + "ĠWh ile", + "ĠD el", + "Ġv ot", + "b and", + "ĠP ublic", + "Ġof fer", + "t a", + "id ing", + "ĠK e", + "ĠB as", + "c ial", + "ĠS ports", + "g o", + "Ġl ess", + "Ġtrad ition", + "Ġschool s", + "m on", + "ert ain", + "ic les", + "ĠMinist er", + "r as", + "ĠJ ose", + "Ġl ive", + "id ae", + "al a", + "ĠC ons", + "Ġd ata", + "ro ll", + "one y", + "it her", + "Ġph ys", + "Ġf und", + "Ġ199 3", + "ĠDem ocrat", + "Ġty p", + "Ġother s", + "ens ive", + "Ġh uman", + "Ġsh ould", + "Ġd aughter", + "ol a", + "ĠT or", + "ab ly", + "epend ent", + "at ives", + "Ġem ploy", + "Ġro ck", + "Ġd i", + "Ġgro und", + "ĠP eter", + "osp ital", + "Ġre v", + "ĠFran k", + "Ġrec ogn", + "Ġm ater", + "Ġhim self", + "Ġst ar", + "overn or", + "all s", + "v iron", + "Ġbuild ings", + "Ġde cl", + "Ġ =", + "re y", + "ĠCath olic", + "ĠM el", + "ĠS ong", + "ut y", + "ĠRich ard", + "le g", + "Ġr ul", + ") :", + "Ġac ross", + "az ine", + "Ġav ail", + "Ġf ire", + "Ġcomp anies", + "ĠS ur", + "g en", + "h i", + "ic ation", + "ĠSw ed", + "19 5", + "al y", + "ĠB ill", + "Ġb ody", + "p ite", + "s y", + "en a", + "ate g", + "ol f", + "Ġan im", + "ant ed", + "Ġcamp aign", + "Ġst ations", + "and ing", + "at re", + "Ġl anguage", + "sh ire", + "m ost", + "ri a", + "Ġe ight", + "19 4", + "um e", + "Ġdo es", + "ĠW il", + "b our", + "Ġaver age", + "ĠM ass", + "ĠL u", + "ĠU p", + "ĠF ore", + "Ġm ot", + "Ġ199 1", + "ce ed", + "Ġbl ack", + "Ġqu al", + "Ġex ist", + "Ġbec om", + "ĠPar is", + "ĠSec ond", + "Ġplay ing", + "ut es", + "ric ket", + "o ice", + "ra el", + "ĠL at", + "Ġt ro", + "g ress", + "Ġmod ern", + "Ġl ow", + "ĠHen ry", + "em or", + "Ġdef e", + "ĠSup er", + "ĠVict or", + "he ast", + "19 3", + "Ġh ow", + "ĠS ant", + "Ġepis ode", + "Ġ18 4", + "Ġp aint", + "st ro", + "Ġc le", + "Ġ et", + "ĠC ro", + "Ġgrad u", + "o res", + "S t", + "z il", + "Ġst age", + "Ġd ivision", + "Ġd ram", + "Ġex ample", + "Ġd er", + "ĠGeor g", + "Ġc ross", + "em ents", + "Ġ4 0", + "w rit", + "ud d", + "Ġr adio", + "ad a", + "Ġne ver", + "Ġl iving", + "air s", + "ĠD ire", + "Ġperform ed", + "h ood", + "Ġf oc", + "ĠL os", + "Ġfem ale", + "emb ly", + "ch ie", + "oc key", + "and id", + "Ġw inn", + "eth od", + "ĠH on", + "Ġl ight", + "ĠS ome", + "Ġse par", + "Ġart ists", + "Ġbel ie", + "ĠRe v", + "Ġf ree", + "ĠSm ith", + "Ġpolitic ian", + "Ġac qu", + "ĠP enn", + "Ġass oci", + "w are", + "ĠOr der", + "Ġf ight", + "t ime", + "ur a", + "ent ial", + "Ġcont ract", + "ov iet", + "2 4", + "ĠChampionship s", + "ĠL ake", + "ĠB ut", + "ibr ary", + "ough t", + "Ġstr ong", + "ign ed", + "Ġsuccess ful", + "Ġmon ths", + "ĠF C", + "Ġre d", + "Ġkill ed", + "at ory", + "im ate", + "Ġfin ished", + "ĠEduc ation", + "av al", + "Ġpl aces", + "id ents", + "Ġcon struction", + "ĠCh ic", + "he ad", + "pe ople", + "k ed", + "ĠI reland", + "ĠO l", + "Ġg ave", + "Ġestablish ments", + "Ġ198 8", + "ĠC amp", + "Ġm us", + "av es", + "ĠG o", + "Ġavail able", + "ĠDe f", + "Ġcon du", + "Ġa way", + "Ġgo al", + "Ġ198 9", + "v a", + "Ġperforman ce", + "if f", + "ell ing", + "ĠO b", + "ĠS aint", + "Ġt re", + "Ġal though", + "id s", + "ĠP an", + "as c", + "ish op", + "Ġpro t", + "Ġbo oks", + "ran ch", + "il ities", + "viron ment", + "it a", + "ĠS pec", + "Ġj ournal", + "an o", + "Ġin formation", + "Ġ ide", + "ĠD ay", + "ad o", + "inal s", + "z a", + "ic ated", + "ĠFilm s", + "he re", + "ĠOlymp ic", + "Ġd am", + "ĠC ur", + "Ġt aken", + "ĠV ill", + "ĠW in", + "ĠNot es", + "le ft", + "ell a", + "Ġcap t", + "it ch", + "i qu", + "ĠBra zil", + "ĠIs rael", + "ĠD u", + "ific ant", + "Ġshow s", + "Ġfollow ed", + ", \"", + "Ġr ank", + "o o", + "Ġag re", + "ĠR ob", + "ĠC areer", + "Ġto ur", + "ug by", + "Ġc ost", + "Ġm ix", + "ĠVirgin ia", + "Ġhe alth", + "Ġfr ont", + "Ġj ud", + "om a", + "ĠG overnment", + "Ġinclud es", + "Ġaward ed", + "Ġc irc", + "ut ch", + "Ġtourn ament", + "Ġc our", + "ĠM a", + "ĠL ife", + "ĠM in", + "\" |", + "Ġfeat ures", + "ig an", + "Ġ :", + "ĠJ ust", + "I I", + "Ġvi ol", + "Ġoriginal ly", + "Ġdesign ed", + "s erv", + "ĠT our", + "ĠAt l", + "Ġhouse hold", + "ĠH ill", + "ag ed", + "nd er", + "n y", + "i os", + "Ġac cess", + "Ġmater ial", + "ĠTe am", + "Ġse ven", + "se c", + "Ġs en", + "ve y", + "Ġc ourt", + "ĠE mp", + "e g", + "ĠC arl", + "ĠIt s", + "ĠM r", + "Ġim pro", + "Ġp ut", + "om s", + "Ġc ivil", + "Ġrel ig", + "2 6", + "Ġrem ained", + "ĠP erson", + "ĠHistor ic", + "Ġs ound", + "ĠAr ts", + "Ġs il", + "ist an", + "Ġstud y", + "Ġl ab", + "en ed", + "ĠG all", + "ĠR ock", + "Ġon ce", + "ĠG ra", + "2 7", + "Ġfeat ured", + "Ġin j", + "Ġd ou", + "ĠRail way", + "er ous", + "ar ia", + "ĠS qu", + "Ġfor ces", + "atri ate", + "Ġsc ored", + "ĠL and", + "ur ity", + "Ġc y", + "Ġ ill", + "om m", + "Ġt est", + "Ġ #", + "Ġp ress", + "ac hes", + "Ġ198 7", + "ol k", + "Ġb ar", + "ĠChic ago", + "2 8", + "he st", + "it es", + "Ġmark et", + "Ġbas ketball", + "ip le", + "Ġde v", + "Ġre b", + "Ġsing er", + "Ġsign ificant", + "ĠM o", + "ach ing", + "ap s", + "il ies", + "Ġpl an", + "end er", + "Ġex ecut", + "r or", + "ĠS oviet", + "ic ations", + "re l", + "Ġlead ing", + "Ġtra ining", + "em s", + "ĠSc ot", + "v in", + "Ġpol ice", + "Ġmed ia", + "ĠFor ce", + "Ġe arn", + "ver t", + "ĠS ub", + "y e", + "ic y", + "Ġ195 0", + "ĠM il", + "C h", + "Ġm ount", + "Ġlarg est", + "Ġr ights", + "ĠS ir", + "ear ch", + "ĠComm ission", + "augh t", + "ĠT wo", + "ĠItal y", + "m ier", + "A mer", + "ĠS o", + "ĠPro fess", + "Ġ198 6", + "our ce", + "Ġm ust", + "Ġair craft", + "Ġst ri", + "ĠM od", + "Ġmod el", + "ut er", + "ĠMex ico", + "Ġ198 4", + "Ġch art", + "Ġen c", + "y p", + "Ġs em", + "ĠCl ass", + "ĠI ll", + "Ġthrough out", + "ĠPol it", + "Ġl iter", + "ist ics", + "ĠP arliament", + "Ġg old", + "Ġtrans fer", + "Ġcons ist", + "v ing", + "ĠS ince", + "ĠMar k", + "Ġinvol ved", + "Ġc ou", + "ĠC at", + "Ġlist ed", + "Ġsub sequ", + "ord er", + "Ġst ated", + "ien ces", + "Ġwh ite", + "ĠO ff", + "ĠAn n", + "Ġw id", + "un k", + "Ġbo ard", + "s el", + "Ġintro duced", + "Ġrepl aced", + "ĠIr ish", + "Ġs ugg", + "ann el", + "Ġe arl", + "Ġse en", + "Ġcompet ition", + "Ġb i", + "Ġ18 3", + "un s", + "ĠE r", + "ĠProv ince", + "ĠFlor ida", + "Ġc andid", + "Ġd iv", + "if t", + "6 0", + "2 9", + "Ġtrans l", + "ĠN avy", + "ĠM ur", + "Ġ198 5", + "Ġwrit er", + "Ġevent ually", + "Ġpriv ate", + "Ġv ia", + "Ġresp ons", + "rib ution", + "ut ure", + "ĠTe chn", + "Ġcrit ic", + "Ġresult s", + "Ġent ire", + "u ff", + "Ġvoc als", + "c her", + "Ġab le", + "u z", + "um m", + "ĠD o", + "te xt", + "Ġr an", + "Ġadd ed", + "ret ary", + "ĠAl though", + "Ġc ollege", + "ĠD en", + "Ġpro ble", + "ĠO per", + "ĠComm ittee", + "ĠF estival", + "Ġfour th", + "ĠS il", + "o ch", + "Ġp ast", + "Ġcount ries", + "ĠF in", + "as k", + "ĠB us", + "ro ad", + "A S", + "el t", + "ĠW ales", + "c ript", + "Ġw ind", + "ĠAngel es", + "y r", + "ĠO ver", + "Ġcent ral", + "Ġst e", + "Ġact ress", + "m b", + "uf act", + "Ġsur v", + "as ing", + "ul arly", + "Ġa ud", + "Ġwrit ers", + "u a", + "ian o", + "Ġcomm and", + "Ġass ociation", + "Ġle ast", + "m in", + "Ġres pect", + "i res", + "ĠBro wn", + "ĠE v", + "Ġl oss", + "yl van", + "Amer ican", + "Ġsp ace", + "por ary", + "Ġs er", + "A R", + "ĠSc ience", + "ĠO ut", + "mer cial", + "8 0", + "ĠN orthern", + "Ġun its", + "ĠM ost", + "ab ility", + "f ic", + "ĠR h", + "Ġn omin", + "ĠF ound", + "ĠSt ar", + "ĠRuss ia", + "Ġm inist", + "Ġs ch", + "b b", + "ok e", + "ĠU k", + "ĠG od", + "r up", + "Ġdeg ree", + "i ro", + "ĠCong ress", + "ĠCarol ina", + "Ġst aff", + "Ġdisc over", + "Ġ198 3", + "Ġr ange", + "Ġst ates", + "ib l", + "ĠAr g", + "ri al", + "Ġcl ose", + "ĠR os", + "Ġdoc ument", + "ra w", + "ĠJ un", + "Ġbroad cast", + "n ow", + "Ġf ig", + "Ġab ove", + "pl es", + "Ġre ached", + "med i", + "g ian", + "l or", + "Ġc ensus", + "ĠServ ice", + "st e", + "ant ic", + "Ġpl ant", + "ĠCol umb", + "ĠL iber", + "ĠE s", + "ĠC r", + "Ġch ange", + "erv e", + "T V", + "Ġprov ided", + "ĠJose ph", + "ĠO h", + "Ġse asons", + "Ġt reat", + "Ġcurrent ly", + "oy s", + "Ġex hib", + "ĠO ld", + "i ents", + "b ur", + "rough t", + "Ġg et", + "Ġcont ribut", + "Ġexp ress", + "ylvan ia", + "l im", + "Ġp ur", + "Ġe ither", + "Ġf av", + "Ġ( \"", + "Ġch ampionship", + "r ative", + "ĠS a", + "f ace", + "Ġtra vel", + "or por", + "Ġac cept", + "Ġpl aced", + "u x", + "sy ch", + "Ġmiss ing", + "Ġup on", + "ĠF re", + "al ed", + "F A", + "Ġrail way", + ") ;", + "bo ard", + "ĠS eries", + "Ġs aw", + "ad ium", + "Ġinter est", + "st ant", + "ian a", + "Ġstru ct", + "ĠC am", + "F L", + "ĠP ac", + "ab it", + "ist ic", + "ip l", + "Ġ198 2", + "Ġcent er", + "Ġm ur", + "w ell", + "Ġk ey", + "Ġ !", + "Ġa ction", + "ĠAss embly", + "a ut", + "ĠF ort", + "ĠD ou", + "Ġocc ur", + "ed s", + "Ġty pe", + "ĠM os", + "cept ion", + "Ġp ot", + "ĠM ic", + "kn own", + "p ly", + "is es", + "Ġc op", + "ĠF urther", + "ĠF ollow", + "Ġn ight", + "Ġa chie", + "ig er", + "g l", + "ĠS k", + "Ġd u", + "ĠR am", + "Ġatt ended", + "Ġ197 9", + "stit ution", + "Ġle arn", + "ĠM ill", + "Ġcharact ers", + "ĠB re", + "l anguage", + "ĠB attle", + "ĠA rab", + "Ġse x", + "ubl ican", + "ay ing", + "ĠM at", + "az z", + "Ġcap ital", + "p ress", + "ĠP opul", + "et te", + "Ġme as", + "Ġdec ided", + "ĠM ain", + "ĠW ood", + "Ġf if", + "l am", + "i h", + "ĠM ajor", + "ĠT ro", + "ele b", + "Ġar g", + "Ġdec ision", + ". )", + "ult ural", + "Ġprevious ly", + "Ġdra w", + "ĠRes earch", + "eng th", + "ar ily", + "ĠEmp ire", + "ĠG reek", + "ĠF red", + "ult ure", + "c a", + "Ġst re", + "Ġde stro", + "Ġne igh", + "Ġ197 2", + "Ġlead er", + "Ġh om", + "d en", + "ĠDemocrat ic", + "g r", + "Ġappro x", + "am ily", + "Ġstud io", + "Ġse ction", + "er o", + "Ġus ually", + "Ġme an", + "ĠPenn s", + "Ġ197 6", + "or ing", + "Ġm ass", + "ĠS ol", + "Ġdefe ated", + "ĠOffic ial", + "ĠH a", + "Ġsing les", + "and a", + "Ġed ition", + "ĠMart in", + "u an", + "ĠD utch", + "Ġre ve", + "Ġocc up", + "ow ers", + "st ra", + "re me", + "ĠC le", + "ĠS un", + "p ing", + "ĠFollow ing", + "Ġkn ow", + "Ġg rand", + "Ġn atural", + "Ġinst ead", + "Ġeff ort", + "ĠMed al", + "ĠJ im", + "ĠScott ish", + "Ġp ain", + "Ġpo et", + "Ġact or", + "Ġr iver", + "ĠSp ain", + "ch an", + "Ġf arm", + "Ġp arent", + "Ġacc ount", + "il s", + "ig a", + "ĠS ocial", + "ĠPenns ylvania", + "Ġb ur", + "B A", + "or a", + "Ġsub ject", + "st r", + "c el", + "c ell", + "Ġ198 1", + "Ġw inning", + "Ġproduc er", + "ĠG ar", + "inc ip", + "ans as", + "ĠM embers", + "Ġinvest ig", + "Ġwh ose", + "ult y", + "ult s", + "Ġm ethod", + "ĠW al", + "um ents", + "Ġpl ann", + "Ġ197 8", + "ĠL ove", + "Ġpart s", + "ĠIn c", + "Ġact ive", + "Ġ197 4", + "Ġrepresent ed", + "in ent", + "ĠM ilitary", + "Ġmov ement", + "at o", + "Ġg e", + "ĠH ow", + "Ġprim ary", + "Ġprov ide", + "ĠAs ian", + "Ġfam ilies", + "Ġcult ure", + "Ġ196 8", + "ĠP ak", + "w an", + "Ġrelations hip", + "Ġplay s", + "9 0", + "ĠL ater", + "ĠF inal", + "b ased", + "Ġf ar", + "Ġp ark", + "ĠR adio", + "Ġsc ient", + "Ġorgan iz", + "pt ion", + "Ġpr ison", + "ĠJ ud", + "Ġde al", + "ĠLe e", + "Ġp red", + "Ġn orthern", + "Ġ194 0", + "Ġs outhern", + "Ġbeh ind", + "Ġp urch", + "ĠE p", + "pos ition", + "r ig", + "Ġt ax", + "ĠH ot", + "cl us", + "ĠT w", + "ar io", + "Ġ197 5", + "ug u", + "ĠC ross", + "l a", + "ĠI ran", + "ĠYou ng", + "ig ital", + "Ġmus ical", + "ĠBu ild", + "ad y", + "ens ion", + "Ġs ize", + "y er", + "ĠC ivil", + "ĠCh ief", + "Ġb ank", + "Ġl ik", + "7 0", + "omet imes", + "Ġ197 7", + "se e", + "ri e", + "Ġl ower", + "ĠB ul", + "ing u", + "ĠBo ard", + "w er", + "ĠB et", + ".. .", + "Ġgo als", + "isc o", + "ĠS ar", + "ĠSp ace", + "Ġb rought", + "ĠP ost", + "Ġread ing", + "Ġco ast", + "Ġnew sp", + "ĠB ig", + "ĠB ase", + "erg y", + "Ġout side", + "ĠL oc", + "Ġac adem", + "ĠH el", + "Ġs us", + "s k", + "ĠS outhern", + "ĠReg ister", + "\" )", + "n ot", + "Ġp ers", + "Ġcolle ction", + "Ġh ard", + "Ġorgan ization", + "im b", + "ar ing", + "Ġc ut", + "Ġ i", + "ĠC D", + "end s", + "ĠH aw", + "Ġr ather", + "all ed", + "ĠB ack", + "ers ey", + "Ġ197 3", + "Ġf all", + "m ark", + "Ġclos ed", + "a o", + "Ġindust ry", + "Ġrun s", + "Ġwrit ing", + "al i", + "Ġn etwork", + "Ġg irl", + "Ġend ed", + "N A", + "Ġc ricket", + "ĠJ ack", + "Ġman ufact", + "Ġc are", + "h an", + "Ġdram a", + "Ġk ing", + "ĠL uc", + "or se", + "Ġfor ce", + "Ġsh ot", + "ir m", + "Ġfootball er", + "Ġ193 0", + "ĠAd m", + "it an", + "Ġsystem s", + "anc ial", + "p an", + "at i", + "pec ially", + "he t", + "aw a", + "ĠO x", + "I D", + "ĠEd ward", + "ĠEng ine", + "ct ive", + "Ġh it", + "ĠL ong", + "Ġes c", + "ul ation", + "oun ter", + "Ġposs ible", + "Ġw ood", + "Ġim m", + "ĠVal ley", + "ĠR el", + "Ġreg ard", + "ĠU nder", + "ĠT ri", + "Ġ194 5", + "Ġmat ches", + "m ond", + "Ġallow ed", + "Ġstud ies", + "ĠV er", + "ĠU r", + "ĠS pr", + "ĠT imes", + "Ġne g", + "Ġal most", + "it ors", + "ĠRep ublican", + "Ġreg ular", + "Ġ196 9", + "ven ue", + "id er", + "Ġstru cture", + "Ġst op", + "in ary", + "Ġ197 1", + "Ġmag azine", + "ĠJew ish", + "em ic", + "ur b", + "Ġchang ed", + "Ġcomm ission", + "Ġfre qu", + "c ient", + "enn is", + "ĠTe levision", + "in ated", + "l ike", + "ĠJ ul", + "ent h", + "Ġc at", + "ĠB ob", + "back ground", + "ĠP o", + "ĠB ank", + "Ġd en", + "ĠMich igan", + "Ġis land", + "c ing", + "Ġpl at", + "Ġsett le", + "Ġsch ol", + "ĠD isc", + "Ġlaun ched", + "Ġb all", + "ĠM ah", + "Ġoper ations", + "it iz", + "ĠC amb", + "air man", + "ov ers", + "Ġw oman", + "ĠPl aces", + "velop ment", + "Ġbeg inning", + "ac ing", + "Ġperson al", + "ĠJ er", + "ĠO s", + "Ġter rit", + "k o", + "Ġto wards", + "3 5", + "on n", + "Ġte xt", + "i as", + "Ġtrans port", + "ĠMc C", + "Ġgen us", + "ĠA thlet", + "Ġown ed", + "Ġdet erm", + "Ġt aking", + "Ġn ar", + "Ġf ood", + "ĠOp en", + "Ġmanag er", + "et ts", + "Ġacc ording", + "e es", + "Ġ196 7", + "Ġc ases", + "ĠT im", + "Ġm er", + "ĠH ung", + "ĠHe alth", + "ip s", + "y an", + "Ġn ames", + "ak a", + "Ġind ependent", + "Ġcon stru", + "Ġwh om", + "Ġp ay", + "us band", + "ĠV i", + "ly ing", + "Ġ196 4", + "ol s", + "Ġsc ience", + "Ġf a", + "Ġrem ov", + "Ġoffic er", + "Ġc red", + "ĠPhil ipp", + "Ġ )", + "ĠOh io", + "ĠB h", + "Ġsc ore", + "st ate", + "ĠK ent", + "Ġapprox imately", + "ĠIn f", + "Ġmin or", + "Ġv eh", + "ĠT op", + "Ġob serv", + "ĠL ine", + "ĠF r", + "7 5", + "ĠUn ivers", + "Ġcomp let", + "Ġbre ak", + "ĠR ou", + "im a", + "ĠPol and", + "Ġfun ction", + "ib ility", + "ĠJ o", + "b ury", + "ino is", + "Ġe ver", + "Ġsc reen", + "b on", + "Ġconc ern", + "Ġsp ent", + "Ġar my", + "ĠG al", + "ĠArg ent", + "Ġaddition al", + "ct ing", + "g a", + "pe cted", + "Ġsqu ad", + "Ġ6 0", + "ĠD is", + "o id", + "Ġph il", + "ĠII I", + "ĠA re", + "o ir", + "Ġnot ed", + "in et", + "ĠScot land", + "ĠM ot", + "ĠG h", + "Ġs elf", + "Ġob ject", + "en ced", + "Ġcomple x", + "Ġbo x", + "ir a", + "Ġc eleb", + "amp ions", + "ĠT re", + "ach us", + "ĠL ord", + "if y", + "w w", + "Ġiss ues", + "Ġcount y", + "ĠPol ish", + "Ġ19 20", + "os h", + "il ed", + "Ġch ief", + "ĠB or", + "en ces", + "Ġsen ior", + "es h", + "k ing", + "ĠQue en", + "Ġc he", + "Ġmon th", + "Ġb attle", + ": #", + "Ġcom mercial", + "ost on", + "Ġl ived", + "Ġs ummer", + "Ġele ctions", + "4 5", + "Ġits elf", + "Ġd ate", + "Ġmult iple", + "Ġrel ated", + "uf fer", + "ĠPac ific", + "Ġs at", + "read y", + "Ġpolitic ians", + "Ġfoc us", + "Ġhig hest", + "Ġro ute", + "ĠNew s", + "Ġso on", + "ĠM att", + "ĠJ r", + "ĠIll inois", + "Ġtradition al", + "d own", + "Ġto o", + "Ġl ittle", + "Ġf uture", + "Ġle t", + "Ġqu est", + "Ġes pecially", + "ĠDire ctor", + "Ġhig her", + "Ġopen ing", + "ay a", + "ard en", + "Ġsup er", + "Ġlo ok", + "ĠE nd", + "Ġ196 5", + "um s", + "Ġm oney", + "Ġc al", + "ac her", + "ĠO k", + "ĠBrit ain", + "Ġrequ ired", + "ĠRep resent", + "achus etts", + "f ect", + "Ġinter view", + "Ġun ion", + "ĠCon ference", + "ĠD i", + "ĠJ ersey", + "Ġ196 6", + "bur gh", + "em porary", + "ĠS and", + "ĠGeorg ia", + "Ġen vironment", + "r ich", + "ad or", + "Ġed itor", + "ct ic", + "ob al", + "Ġcont ains", + "Ġappear ance", + "ĠC y", + "ĠAs ia", + "Ġbel ow", + "Ġ18 0", + "k ins", + "Ġproper ty", + "Ġpri or", + "ĠG overnor", + "ĠA z", + "19 0", + "ĠC olle", + "ĠL ab", + "ĠMass achusetts", + "Ġvict ory", + "h ouse", + "Ġme ans", + "Ġsele cted", + "Ġent ered", + "ch ange", + "on se", + "ĠB oston", + "ĠF er", + "Ġstud ied", + "d s", + "Ġpro f", + "ig r", + "p ut", + "Ġh usband", + "ĠL o", + "ĠBo ok", + "Ġpract ice", + "ĠEast ern", + "S A", + "Ġe mer", + "Ġsur round", + "Ġloc ation", + "al ys", + "st anding", + "Ġex am", + "ut en", + "Ġassoci ated", + "emor ial", + "ĠTh at", + "Ġun it", + "ĠC O", + "ĠJ ournal", + "vent ion", + "Ġm ission", + "Ġstruct ures", + "Ġb ass", + "Ġr ad", + "ĠHe ad", + "Ġmur der", + "Ġtr ade", + "j a", + "Ġ3 5", + "Ġd on", + "w a", + "Ġprofess or", + "ĠL ibrary", + "ĠColumb ia", + "ĠB ang", + "Ġc ertain", + "Ġcent re", + "ĠJ ac", + "Ġstand ard", + "Ġship s", + "ĠG re", + "F C", + "Ġret ired", + "op er", + "Ġse at", + "Ġad op", + "Ġearl ier", + "ĠPr ince", + "Ġar ran", + "Ġ ens", + "3 3", + "i i", + "Ġrun ning", + "Ġmanag ement", + "ĠM ore", + "Ġ er", + "Ġbecom ing", + "Ġd om", + "ĠJe an", + "Ġde partment", + "ĠG ame", + "w ith", + "ĠF ield", + "Ġstud ent", + "ry ing", + "Ġ194 4", + "ĠM P", + "Ġactiv ities", + "t ained", + "Ġso ft", + "Ġt rib", + "ĠThe atre", + "ĠJ ones", + "Ġclub s", + "Ġcom e", + "ĠWilliam s", + "Ġl ength", + "an ks", + "Ġem b", + "Ġmunicip ality", + "il a", + "Ġleg al", + "and ed", + "i y", + "al le", + "Ġcoll abor", + "ĠSt an", + "ail s", + "ig g", + "ĠDe velopment", + "Ġmed ical", + "Ġact ors", + "Ġs uffer", + "Ġcom edy", + "arri age", + "in em", + "N E", + "ĠM iddle", + "gy pt", + "ian ce", + "Ġleg isl", + "Ġinit ially", + "om y", + "ĠW eb", + "Ġqu arter", + "Ġcaus ed", + "9 9", + "ĠM any", + "Ġal ready", + "ad el", + "Ġs ometimes", + "Ġp ie", + "s en", + "b re", + "ĠS oc", + "Ġp en", + "Ġth us", + "Ġtra in", + "ĠCo ast", + "ĠFranc isco", + "ĠE conom", + "ĠV an", + "Ġdestro y", + "Ġmov e", + "Ġoper ated", + "et ic", + "ĠI f", + "Ġfeat ure", + "ĠB ow", + "ĠH ong", + "Ġgeneral ly", + "ĠSt ep", + "ĠK ong", + "Ġar rest", + "Ġfore st", + "Ġincre ased", + "Ġequ ip", + "ĠD et", + "ĠS at", + "Ġold er", + "Ġh ockey", + "Ġl ove", + "ĠK ar", + "ĠW ater", + "ant ry", + "Ġcour se", + "Ġw ide", + "ĠOr gan", + "tra ck", + "Ġwest ern", + "ĠM u", + "ĠW ind", + "sp an", + "Ġnum erous", + "ĠAl bert", + "am m", + "ĠBl ue", + "Ġcon v", + "Ġus es", + "Ġcompet ed", + "n o", + "Ġc ouncil", + "Ġnew s", + "Ġra p", + "ĠMan ag", + "Ġg ra", + "Ġann ual", + "Ġdif fic", + "a res", + "ee ks", + "Ġs af", + "ĠF ed", + "is ation", + "ĠJohn son", + "ĠP res", + "Ġ196 3", + "Ġchang es", + "ĠCons erv", + "and s", + "k en", + "Ġv ir", + "ĠE ll", + "ĠD ie", + "ĠM id", + "ĠCh ild", + "on ia", + "ĠPerson al", + "ĠSy stem", + "el a", + "Ġmajor ity", + "og rap", + "Ġs u", + "ĠDe ath", + "ill a", + "Ġterm s", + "Ġserv ing", + "ĠB C", + "ĠCent re", + "ri ef", + "Ġiss ue", + "ul pt", + "Ġf ederal", + "ĠA k", + "att al", + "stit u", + "Ġab s", + "ĠB iography", + "Ġant i", + "ad d", + "Ġind ic", + "ple ment", + "Ġperson nel", + "Ġbet ter", + "Ġcol on", + "Ġun iversity", + "ab eth", + "ĠBro ad", + "Ġ196 2", + "ul f", + "Ġth reat", + "ĠSer b", + "el le", + "Ġrelig ious", + "ĠA ri", + "Ġse a", + "p re", + "Ġc ust", + "Ġs ister", + "ĠT ime", + "ĠE gypt", + "I n", + "ĠB al", + "Ġke ep", + "it ation", + "ĠOx ford", + "ak h", + "ĠB ir", + "ĠSt ation", + "ĠT em", + "Ġpro b", + "ĠG ood", + "ĠTrans port", + "ĠOff ice", + "A C", + "ĠIn t", + "ĠW rit", + "Ġd rop", + "Ġlin es", + "ĠS pe", + "Ġpass ed", + "ĠH ome", + "ĠT am", + "as y", + "ĠAd am", + "Ġd ed", + "ĠSpec ial", + "Ġl ack", + "ĠIs lam", + "ĠW ild", + "Ġacc om", + "che n", + "ĠAlex ander", + "ĠL ittle", + "ĠTra ck", + "t ies", + "ĠComm on", + "Ġh ot", + "Ġexp atriate", + "Ġthough t", + "Ġor d", + "ĠSwed ish", + "man n", + "art ers", + "Ġoffic ers", + "ĠF our", + "ie uten", + "ĠL y", + "ir it", + "is her", + "ce an", + "Ġrecord ing", + "Ġclaim ed", + "Ġh um", + "Ġfor ced", + "ur ban", + "ĠU l", + "Ġprogram s", + "9 5", + "ĠM ax", + "Ġeconom ic", + "Ġstat us", + "Ġdisc uss", + "Ġ4 5", + "ĠK en", + "w ar", + "ĠFound ation", + "Ġn ine", + "Ġinst r", + "Ġlim ited", + "un n", + "orpor ated", + "; \"", + "Ġm useum", + "a ction", + "Ġsupport ed", + "it age", + "Ġim medi", + "ĠB ern", + "Ġ194 2", + "Ġmin utes", + "ĠSen ate", + "Ġcomple te", + "Ġp il", + "acks on", + "ub e", + "Ġcre ate", + "b l", + "Ġgen er", + "ĠCor ps", + "Ġover all", + "Ġh ours", + "Ġsubsequ ently", + "h ire", + "Ġsh oot", + "Ġpresent ed", + "Ġb ene", + "8 8", + "Ġmeet ing", + "ĠThe ir", + "ph y", + "ĠEn ter", + "ĠLat in", + "Ġrem ains", + "ĠF ar", + "ĠGall ery", + "ĠC ard", + "ĠR ay", + "Ġ194 8", + "ro wn", + "Ġ ice", + "ing er", + "ĠAd d", + "ig inal", + "ĠAnd rew", + "Ġdes cent", + "Ġra ised", + "uc le", + "Ġearn ed", + "Ġin stitut", + "v is", + "Ġl ic", + "Ġocc as", + "ĠB ibl", + "A T", + "Ġbel ong", + "ct ors", + "Ġev idence", + "n am", + "Ġcommun ities", + "ĠA sh", + "Ġch all", + "ĠVictor ia", + "Ġgo ing", + "Ġ194 3", + "ĠO f", + "ĠF I", + "3 6", + "iz ing", + "Ġplat form", + "Ġmost ly", + "un a", + "ap ers", + "Ġ195 6", + "Ġj ob", + "ĠC reek", + "is k", + "Ġ196 1", + "ĠSe a", + "Ġhistor ical", + "u ge", + "um ber", + "Ġw eeks", + "Ġal tern", + "m i", + "Ġf le", + "Ġappear ances", + "ĠEl iz", + "Ġse qu", + "w ide", + "at ers", + "ĠSy d", + "ĠBer lin", + "ail y", + "Ġ6 5", + "ĠM inn", + "ur t", + "ĠDe v", + "Ġresp onse", + "ĠS und", + "ĠCor por", + "ĠT y", + "Ġg ive", + "4 7", + "Ġs om", + "ĠJ ackson", + "A F", + "ze ch", + "ieuten ant", + "Ġper cent", + "ĠC orn", + "ĠKore an", + "Ġpro p", + "Ġb ound", + "Ġsh own", + "Ġar m", + "ĠC op", + "Ġin sp", + "w in", + "im s", + "Ġcon cept", + "Ġ195 8", + "ir ing", + "Ġo pt", + "B S", + "Ġreg ional", + "ĠDan iel", + "Ġpartic ularly", + "Ġinc ome", + "g u", + "ĠAl bum", + "ĠW eek", + "Ġacqu ired", + "Ġparent s", + "Ġfore ign", + "ĠR aj", + "Ġb omb", + "ĠSec retary", + "ĠEle ct", + "ĠIs lands", + "Ġm ention", + "Ġpol icy", + "Ġy outh", + "ĠN ight", + "im um", + "ont o", + "Ġc ell", + "alys is", + "Ġ195 9", + "ste in", + "Ġm iddle", + "enc ies", + "3 8", + "che ster", + "Ġdis e", + "re m", + "Ġrecord s", + "ent y", + "ĠPol ice", + "Ġin n", + "Ġt akes", + "os oph", + "4 8", + "Ġlong er", + "ĠB BC", + "Ġl os", + "Ġg ot", + "Ġhel ped", + "ell ed", + "Ġpartic ular", + "Ġf ailed", + "ri ed", + "Ġappe ars", + "ĠG irl", + "Ġ ver", + "Ġpromot ed", + "ĠDes pite", + "Ġa wards", + "on ic", + "Ġpr incip", + "Ġst ep", + "Ġ194 6", + "ĠTh ree", + "ent al", + "st one", + "Ġfam ous", + "Ġbl ock", + "ĠKore a", + "Ġrem ain", + "out heast", + "Ġthe ory", + "ĠR od", + "olog ist", + "Ġin te", + "ag n", + "Ġv ote", + "Ġfin ancial", + "Ġorganiz ations", + "ak ers", + "Ġle aving", + "ĠAt t", + "Ġtra cks", + "ĠM ov", + "ĠR og", + "Ġeast ern", + "o z", + "led ge", + "Ġg overn", + "Ġbase ball", + "ĠB i", + "Ġp sych", + "Ġ194 1", + "Ġm em", + "ĠW ork", + "Ġtechn ology", + "Ġ3 2", + "Ġen ergy", + "v ement", + "cl ass", + "om er", + "Ġsc hed", + "Ġv on", + "if ying", + "Ġm ach", + "y o", + "Ġcompos ed", + "ron ze", + "Ġh app", + "4 6", + "Ġrefer red", + "b ers", + "ĠW all", + "ĠT ax", + "ĠReg iment", + "Ġspec ific", + "Ġcre w", + "ĠSyd ney", + "ĠF amily", + "3 7", + "Ġqu ick", + "em et", + "ĠH ospital", + "Ġincre ase", + "c ul", + "ĠM unicip", + "ĠK enn", + "Ġc itiz", + "Ġbelie ved", + "Ġrem aining", + "Ġw ord", + "ĠC oll", + "ĠSh ow", + "Ġprov ince", + "Ġc ateg", + "Ġlarg er", + "ĠJ oe", + "Ġhous es", + "ĠCh arl", + "rop ol", + "ĠV iet", + "ĠC zech", + "te en", + "Ġh ospital", + "v est", + "c an", + "Ġc arried", + "ĠO tt", + "ĠL im", + "Ġ eth", + "T h", + "ĠV en", + "ric e", + "il ly", + "ou ri", + "ĠBus iness", + "Ġam ount", + "Ġl atter", + "ĠH y", + "ĠW ay", + "Ġtro ops", + "ĠF ederal", + "th ur", + "istric ts", + "Ġ195 7", + "Ġd iss", + "Ġ193 9", + "C C", + "Ġ( ),", + "ĠAr m", + "Ġstart ing", + "ĠTur k", + "Ġarchite ct", + "ov a", + "ĠP en", + "9 6", + "Ġ194 7", + "sel ves", + "ment ary", + "im ated", + "Ġthem selves", + "Ġl ay", + "Ġb rand", + "ĠQue ens", + "ĠD er", + "Ġt arg", + "l av", + "rup t", + "Ġpro posed", + "Ġch arg", + "Ġn orm", + "9 8", + "Ġfor t", + "ut s", + "Ġro om", + "Ġb ring", + "Ġepis odes", + "Ġn ative", + "ĠR et", + "Ġc er", + "Ġ195 2", + "Ġr ate", + "ĠFor m", + "ĠB oth", + "ĠO nt", + "Ġindividual s", + "ĠW orks", + "ĠB and", + "eng er", + "Ġgradu ated", + "Ġassist ant", + "Ġ3 6", + "m ore", + "e ch", + "ut t", + "ur ies", + "Ġp ra", + "Ġl og", + "ĠB ab", + "Ġwinn er", + "Ġform s", + "Ġcult ural", + "p ose", + "Ġde part", + "ĠPri ze", + "Ġ195 5", + "Ġc ities", + "itt ing", + "Ġsur face", + "Ġc hem", + "he w", + "ĠPr ime", + "j i", + "Ġoffer ed", + "ĠE arth", + "ĠJ on", + "Ġv en", + "a is", + "Ġdel iver", + "ph ia", + "ĠCol or", + "Ġm erg", + "er b", + "Ġhe avy", + "ĠB oy", + "ĠTown ship", + "ĠT ay", + "ous ly", + "ĠT od", + "es ota", + "Ġexecut ive", + "Ġon line", + "ed d", + "9 7", + "Ġs pl", + "Ġpre vent", + "ĠJe ff", + "ĠBo oks", + "Ġm arriage", + "Ġmean ing", + "ĠPre mier", + "angu ages", + "A r", + "Ġad j", + "/ /", + "Ġt able", + "enn es", + "ĠL es", + "ĠRou te", + "Ġnewsp aper", + "ĠN ether", + "ĠM ir", + "ĠMinist ry", + "Ġsepar ate", + "Ġs ociety", + "Ġd yn", + "vers e", + "Ġcons ists", + "ound s", + "ell ig", + "ĠS em", + "ĠD ist", + "Ġfif th", + "c i", + "ion e", + "ĠNot able", + "per or", + "ĠEliz abeth", + "ou ra", + "Ġb ridge", + "ĠJ es", + "ĠB ell", + "Ġpe ak", + "ĠE st", + "ic ted", + "ĠAnt on", + "I S", + "Ġto day", + "ĠMinn esota", + "ro vers", + "Ġsuc ceed", + "Ġ ess", + "ĠB ol", + "adel phia", + "Ġexper ience", + "ĠBase ball", + "ran e", + "Ġf ail", + "Ġserv e", + "f it", + "ĠP ubl", + "Ġcond itions", + "Ġvari ety", + "ĠJust ice", + "Ġcomp l", + "Ġb rief", + "it ude", + "Ġf oot", + "h y", + "ĠTor onto", + "Ġlab el", + "Ġtransfer red", + "k er", + "u ated", + "3 4", + "Ġtem per", + "ess ion", + "Ġcandid ate", + "Ġb order", + "m as", + "Ġs ource", + "ĠH uman", + "ron ic", + "ic ine", + "ĠOnt ario", + "Ġhousehold s", + "res p", + "Ġpart n", + "ran ce", + "Ġmain ly", + "Ġmov ie", + "al og", + "ĠSqu ad", + "ĠSup reme", + "Ġalong side", + "ĠH ind", + "ĠA ut", + "z y", + "ĠM ike", + "Ġdes pite", + ": //", + "ĠCh ap", + "Ġsc ulpt", + "Ġrequ ire", + "ĠL em", + "in ct", + "Ġal ways", + "ĠS om", + "a ult", + "ĠReg ion", + "ĠB ad", + "ĠB orn", + "ĠL ew", + "ĠL ight", + "ĠN ations", + "ĠT ok", + "ĠB a", + "ĠSong s", + "ric s", + "Ġpart ies", + "we ight", + "e v", + "Ġ194 9", + "Ġ195 4", + "u ing", + "Ġoper ation", + "Ġiss ued", + "Ġdou ble", + "ic ks", + "ĠPro gram", + "Ġ( ,", + "ĠI d", + "an th", + "ĠW el", + "attal ion", + "Ġpo or", + "b it", + "n es", + "3 1", + "ĠAn other", + "Ġext ended", + "sec ut", + "Ġb r", + "Ġdem on", + "ort heast", + "Ġme chan", + "ĠAn th", + "Ġpl ans", + "Ġf ace", + "ĠD un", + "Ġprov ides", + "ĠC E", + "ĠA ff", + "Ġsold iers", + "Ġm akes", + "Ġart icle", + "Ġturn ed", + "Ġinflu ence", + "R A", + "Ġ8 0", + "Ġdef eat", + "Ġrespons ible", + "Ġsil ver", + "bour ne", + "Ġd one", + "Ġro w", + "Ġj un", + "Ġs n", + "ĠHar ris", + "Ġ195 3", + "ĠA h", + "Ġarr ived", + "ra ine", + "ĠStep hen", + "er land", + "ill ed", + "Ġfeat uring", + "ĠB rad", + "Ġh ar", + "ĠMex ican", + "Ġdiffic ult", + "ĠPhil adelphia", + "w orth", + "ĠSt adium", + "Ġr ugby", + "che stra", + "os a", + "Ġst ories", + "Ġnear by", + "8 5", + "Ġm aster", + "Ġspe ed", + "ons in", + "Ġun ivers", + "Ġex cept", + "Ġa thlet", + "pt on", + "ĠSt at", + "ĠAir port", + "ĠA v", + "Ġcap ac", + "ĠCh art", + "l ers", + "Ġc orn", + "Ġhon or", + "ĠPak istan", + "om ot", + "isc onsin", + "ĠT ai", + "av en", + "ri f", + "writ er", + "b ass", + "ĠSant a", + "ĠNether lands", + "Ġparticip ated", + "Ġo il", + "ag on", + "Ġres idents", + "at ively", + "ĠC rit", + "Ġ7 0", + "Ġs aying", + "m ission", + "Ġwinn ers", + "av a", + "Ġmanag ed", + "Ġst ay", + "Ġf ellow", + "e ction", + "Ġadminist rative", + "ĠK ir", + "ĠD am", + "l ight", + "ob ile", + "Ġelect ric", + "p on", + "Ġorig in", + "b a", + "Ġcon stitu", + "ĠMed ia", + "Ġdiscover ed", + "Ġm ight", + "um ed", + "und red", + "Ġcover ed", + "rop ical", + "ĠRev olution", + "ĠProfess or", + "ĠBr ig", + "Ġren amed", + "Ġs urn", + "n s", + "or g", + "ĠInd ones", + "Ġback ground", + "Ġmunicip al", + "8 6", + "ĠW isconsin", + "Ġlik ely", + "ĠH o", + "Ġcont ra", + "d is", + "ĠCh ris", + "Ġin h", + "ĠA venue", + "Ġrec ent", + "ĠGu ard", + "Ġmusic ians", + "ĠPe ak", + "ĠR ome", + "Ġ195 1", + "Ġpar ish", + "4 4", + "Ġele ments", + "ĠC ub", + "Ġto ld", + "ig en", + "ran ge", + "qu arters", + "ac hel", + "Ġv an", + "an cy", + "Ġas ked", + "Ġg un", + "Ġ +", + "igh ter", + "Ġconstru cted", + "Ġcon fl", + "ĠPr im", + "Ġproble ms", + "ĠTechn ology", + "ĠK im", + "Ġ ult", + "Ġfinal ly", + "ow a", + "7 6", + "ĠS us", + "Ġhe art", + "ĠS her", + "Ġle ave", + "Ġo ur", + "oc ks", + "est abl", + "Ġn ature", + "emet ery", + "Ġneigh bor", + "ir med", + "ĠP ers", + "ke e", + "Ġpro gress", + "Ġprodu cts", + "ĠMus lim", + "ĠCamb ridge", + "ĠL i", + "Ġth r", + "Ġp ick", + "ctor al", + "we gian", + "Ġhe re", + "or ation", + "ĠInd ust", + "ot o", + "Ġimp act", + "Ġnear ly", + "ĠFore st", + "Ġdr ug", + "Ġp aper", + "ĠDu ke", + "ĠB ishop", + "Ġc ause", + "5 5", + "Ġp age", + "Ġen ough", + "Ġp ath", + "g ing", + "Ġw anted", + "ĠL ady", + "Ġsub s", + "m et", + "Ġde ad", + "am ber", + "Ġmedal ists", + "w ick", + "ĠSl ov", + "per ial", + "ĠLeg isl", + "r im", + "Ġreve aled", + "ap ed", + "Ġarchite cture", + "ĠEx p", + "ĠP u", + "Ġra ces", + "ric t", + "ĠC a", + "Ġne cess", + "Ġch ampion", + "Ġsec urity", + "n ic", + "s s", + "ĠCommun ity", + "ist ance", + "Ġdirect ly", + "ens ity", + "Ġsol o", + "ĠSt r", + "g et", + "Ġv oice", + "ĠWil son", + "3 2", + "Ġp it", + "epend ence", + "ins on", + "ĠPro ject", + "Ġadd ress", + "Ġsus p", + "ĠS ab", + "ĠP ower", + "orn ing", + "ĠAdm inist", + "Ġl ives", + "Ġan cient", + "Ġlead ers", + "Ġ193 6", + "Ġminist er", + "ĠCorpor ation", + "Ġoffic ially", + "Ġincre asing", + "Ġcy cl", + "Ġproject s", + "ĠCol on", + "ĠMed ical", + "ĠMar g", + "L e", + "l iving", + "Ġdis play", + "Ġprim arily", + "Ġr ural", + "ad ing", + "ĠBar b", + "Ġadminist ration", + "en ge", + "9 4", + "van ced", + "ou d", + "Ġcondu cted", + "Ġinit i", + "Ġfriend s", + "Ġlevel s", + "ĠH ay", + "ang a", + "roll ed", + "Ġpos itive", + "en ing", + "Ġs port", + "Ġmount ain", + "ens is", + "e cted", + "ĠD ar", + "ĠNor wegian", + "Ġc ard", + "ĠSwed en", + "S S", + "ĠF air", + "Ġch ap", + "ĠI ra", + "in ity", + "Ġl y", + "i at", + "ĠM oh", + "ĠF ire", + "ĠL t", + "Ġinit ial", + "yd ro", + "ĠV ideo", + "ĠSh ort", + "ul ly", + "Ġacadem ic", + "ĠIndian a", + "ĠGold en", + "uc ky", + "Ġp an", + "ĠF le", + "Ġ9 0", + "e en", + "Ġp p", + "ĠMount ain", + "ĠW inn", + "Ġf irm", + "ĠM un", + "ak i", + "Ġch annel", + "Ġdis p", + "ĠBibl iography", + "Ġs ources", + "Ġrepl ace", + "bo ok", + "ĠWin ter", + "Ġwho le", + "ĠAr thur", + "Ġlist ing", + "Ġwork ers", + "Ġ193 8", + "ĠSc iences", + "Ġlet ter", + "cript ion", + "Ġnum bers", + "ĠR ad", + "ribut ed", + "ĠN iger", + "Ġconsid er", + "ĠAl f", + "ĠPl ace", + "Ġm ic", + "Ġval ue", + "ĠDes ign", + "ĠRe view", + "ĠB udd", + "Ġde ep", + "ĠS u", + "L A", + "Ġlaw s", + "ur ches", + "ĠH u", + "em y", + "ed om", + "ĠK ansas", + "ant a", + "ĠAl so", + "Ġliter ature", + "Ġwhe ther", + "Ġremov ed", + "th ing", + "ĠL ive", + "Ġ19 18", + "g al", + "he im", + "Ġs al", + "ĠMar ia", + "Ġwith d", + "A l", + "Ġded icated", + "el d", + "i est", + "ĠGe ography", + "ĠCap tain", + "ĠU s", + "port un", + "ert o", + "ĠDe p", + "Ġsy n", + "Ġg rew", + "ony m", + "Ġd omin", + "Ġw ords", + "ĠBar on", + "F F", + "Ġplann ed", + "ĠPopul ated", + "ĠPolit ical", + "r ical", + "Ġst ars", + "ĠJun ior", + "ĠRes ults", + "7 8", + "Ġnot able", + "Ġeffect s", + "ĠUS A", + "Ġsh are", + "je cted", + "ĠU t", + "Ġk ind", + "it ter", + "e z", + "ic ed", + "Ġr ule", + "ĠMiss ouri", + "p resent", + "Ġd ark", + "E C", + "Ġcomp uter", + "Ġp iano", + "Ġorder ed", + "ĠTay lor", + "Ġreg ist", + "Ġsettle ment", + "ath an", + "ĠM aster", + "resp ond", + "ĠH an", + "Ġprom inent", + "ik a", + "M A", + "Ġsp read", + "ĠR ugby", + "Ġcontin ue", + "ĠB ridge", + "is hes", + "ĠP it", + "ĠColor ado", + "reg on", + "y al", + "Ġrec over", + "ab les", + "rest ling", + "Ġref le", + "ĠFranc is", + "Ġun s", + "res h", + "se x", + "ell er", + "ĠE P", + "ag ing", + "Ġv ac", + "O S", + "Ġ3 4", + "Ġvot es", + "for ce", + "Ġsc ene", + "Ġfollow s", + "Ġwe ap", + "Ġdire ction", + "tern et", + "il ton", + "6 6", + "g reg", + "ĠSte ve", + "ĠR em", + "ist ed", + "Ġmix ed", + "Ġto uch", + "Ġb ranch", + "Ġhost ed", + "Ġext ra", + "ĠCon ne", + "Ġd igital", + "Ġg as", + "Ġre form", + "Ġl anguages", + "ĠW alk", + "Ġg reen", + "Ġart icles", + "Ġrul es", + "Ġpot ential", + "Ġ193 7", + "Ġim plement", + "Ġre ason", + "hen s", + "Ġint ended", + "Ġp urs", + "Ġill ust", + "ĠStud ies", + "Ġcons erv", + "en es", + "g n", + "hem at", + "Ġn ation", + "Ġan g", + "z ona", + "enn a", + "ĠRepresent atives", + "Ġhistor ic", + "Ġ era", + "3 9", + "ĠCast le", + "ĠC irc", + "y ard", + "ĠL ind", + "ĠE arl", + "Ġtri al", + "ul ated", + "Ġdiv ided", + "ĠG ree", + "Ġcapac ity", + "Ġide a", + "ĠM ember", + "Ġ ut", + "ĠN az", + "g rad", + "Ġcol or", + "Ġfor ward", + "ropol itan", + "Ġt al", + "Ġtit led", + "ograph ic", + "n ce", + "Ġrespect ively", + "Ġfl oor", + "Ġdestroy ed", + "Ġtit les", + "Ġtreat ment", + "Ġs oc", + "ĠO regon", + "ol es", + "ĠJ os", + "Ġass igned", + "ĠK al", + "ĠMar sh", + "Ġengine er", + "ĠK el", + "Ġ6 4", + "20 10", + "it led", + "ĠF e", + "Ġtown s", + "7 7", + "g g", + "ill ery", + "ur d", + "ĠTur key", + "ĠWar s", + "ĠMal ays", + "ĠP ier", + "Ġin side", + "Ġp arliament", + "or al", + "ap ore", + "ĠFred er", + "ĠH al", + "ĠR om", + "ly n", + "k h", + "ĠZ h", + "Ġag ric", + "ix ed", + "% )", + "Ġbas is", + "Ġd ance", + "Ġactiv ity", + "6 5", + "Ġsem i", + "Ġnov els", + "Ġre pe", + "and on", + "Ġcompos er", + "Ġbeh av", + "200 7", + "Ġun known", + "Ġreview s", + "Ġsit es", + "ĠE th", + "Ġ. ..", + "ĠBrazil ian", + "ĠComm and", + "Ġc ounter", + "re al", + "c ow", + "iv ity", + "Ġgrow th", + "b ec", + "Ġcle ar", + "Ġst reet", + "ĠDav is", + "Ġcont rovers", + "Ġmet al", + "ĠCon f", + "Ġfem ales", + "ĠP ass", + "b u", + "M S", + "Ġeffort s", + "Ġpurch ased", + "Ġp al", + "Ġpl ants", + "Ġbecom es", + "ennes see", + "b ell", + "Ġmov ing", + "Ġp et", + "Ġup per", + "ĠBro ok", + "ĠCon c", + "ĠAtl antic", + "ear s", + "Ġcont est", + "Ġprodu ce", + "iz es", + "ĠCount ry", + "Ġfe el", + "ĠSt and", + "ast y", + "ĠT al", + "ĠBe ach", + "ĠC re", + "ĠB all", + "Ġfac ilities", + "Ġl ies", + "ĠAri zona", + "a ud", + "ĠG reg", + "un ct", + "em an", + "Ġquest ion", + "ĠPhilipp ines", + "Ġcer em", + "ĠT a", + "ian t", + "it o", + "200 9", + "ĠN ic", + "ad ed", + "Ġtyp es", + "Ġequip ment", + "ĠFore ign", + "Ġcapt ured", + "I A", + "ĠF ree", + "Ġprodu ct", + "f ort", + "Ġsmall er", + "Ġatt end", + "est ic", + "Ġquick ly", + "Ġst ore", + "Ġy et", + "ĠK r", + "b ro", + "w ater", + "Ġhigh ly", + "200 0", + "e k", + "Ġle aves", + "ĠSe ver", + "Ġcont act", + "Ġcitiz ens", + "Ġ5 00", + "ĠS on", + "ar p", + "ound ed", + "Ġform at", + "b les", + "Ġdocument ary", + "Ġ4 4", + "Ġest ate", + "ast ic", + "st yle", + "ĠT ennessee", + "Ġimmedi ately", + "Ġ( ;", + "ĠLe on", + "ren ce", + "Ġorgan ized", + "if orm", + "Ġaccept ed", + "Ġs umm", + "ĠMar c", + "Ġg re", + "b ed", + "ed ia", + "k in", + "ipl om", + "w atch", + "Ġop portun", + "ĠNor way", + "j an", + "Ġcon ver", + "ĠM as", + "a ug", + "20 11", + "ef e", + "ĠS ri", + "Ġm ax", + "Ġown er", + "ul ed", + "Ġcon ference", + "Ġfl ight", + "Ġr at", + "ĠC as", + "ian g", + "s ky", + "ur er", + "Ġ193 5", + "ĠN etwork", + "Ġ19 19", + "Ġphys ical", + "Ġfav or", + "Ġfac ulty", + "Ġro les", + "200 6", + "g ers", + "o is", + "200 8", + "Ġst ra", + "Ġsy mb", + "Ġaut om", + "Ġb ronze", + "er c", + "Ġdecl ared", + "ĠMary land", + "amb ig", + "Ġconf irmed", + "Ġsoft ware", + "se y", + "am i", + "ĠC ra", + "ĠS av", + "Ġmot or", + "Ġte acher", + "Ġchar ge", + "Ġre ach", + "ol n", + "Ġcommon ly", + "ĠUk raine", + "Ġpos itions", + "ann a", + "Ġaff ili", + "Ġg overnor", + "Ġ19 14", + "Ġhous ing", + "Ġoper ating", + "ĠHigh way", + "Ġv s", + "ĠO d", + "Ġ3 3", + "eat her", + "ĠB at", + "ĠBe fore", + "Ġprogram ming", + "Ġper man", + "Ġbe at", + "im al", + "Ġh tt", + "Ġstre ng", + "ĠIra q", + "U n", + "ĠS ources", + "Ġele v", + "am in", + "ce st", + "Ġcomp ared", + "r ate", + "ĠFor mer", + "Ġcom es", + "h at", + "ĠBack ground", + "ĠSing apore", + "Ġterrit ory", + "ĠFed eration", + "are t", + "Ġab ility", + "ĠMod ern", + "Ġagre ement", + "Ġd istricts", + "b s", + "Ġcom ment", + "Ġtarg et", + "ĠK l", + "CA A", + "Ġst one", + "Ġ19 10", + "ĠM emorial", + "Ġfound er", + "ĠR oss", + "ĠL iter", + "Ġw a", + "Ġp op", + "ĠDe c", + "Ġsw im", + "ellig ence", + "Ġ19 17", + "Ġg iving", + "ag a", + "ĠD or", + "Ġagre ed", + "ĠF ox", + "Ġatt ention", + "ĠCh ile", + "Ġmod els", + "ar c", + "Ġappro ach", + "Ġengine ering", + "5 8", + "Ġn ucle", + "9 3", + "inc ial", + "vent h", + "ĠH or", + "Ġcamp us", + "ĠO cean", + "ĠS ound", + "S P", + "Ġpe ace", + "ĠE ach", + "m ad", + "west ern", + "igh th", + "du ce", + "Ġlead ership", + "Ġinstitut ions", + "Ġw alk", + "Ġatt ra", + "Ġc ars", + "od ies", + "S C", + "ap h", + "Ġl if", + "Ġap art", + "ript ion", + "Ġ192 8", + "Ġy ards", + "Ġest imated", + "Ġel im", + "z o", + "ĠB ru", + "igr ants", + "ol i", + "Ġse ats", + "Ġth ink", + "Ġoccur red", + "Ġbl ood", + "ĠR en", + "un te", + "Ġw ing", + "ĠW at", + "ambig uation", + "op her", + "ĠD iv", + "ĠEnter tain", + "ĠH art", + "ĠS port", + "Ġg ained", + "ad er", + "200 5", + "Ġneed ed", + "ot i", + "Ġch airman", + "Ġmed ian", + "ĠPhil ip", + "Ġ x", + "Ġact ing", + "ĠF a", + "ĠLew is", + "Ġsuffer ed", + "Ġcon clud", + "Ġdise ase", + "Ġfig ure", + "Ġadop ted", + "Ġrec on", + "Ġb ad", + "ĠB os", + "ĠMel bourne", + "Ġfl ag", + "Ġ192 9", + "Ġs ens", + "Ġcr ime", + "in us", + "Ġc oin", + "ed er", + "we alth", + "Ġdist ribution", + "Ġserv es", + "ĠT s", + "5 00", + "ĠMos cow", + "ĠT en", + "Ġst ream", + "Ġp oll", + "Ġent er", + "it ness", + "Ġf ell", + "ul s", + "Ġan alysis", + "H L", + "ĠPro duction", + "rain ian", + "Ġcomb ined", + "im inal", + "l ah", + "Ġcomm ittee", + "Ġjournal ist", + "' ,", + "s pe", + "Ġ3 8", + "ĠT est", + "ans ion", + "Ġcont ent", + "Ġcor respond", + "Ġj oint", + "T A", + "ĠAb b", + "ag h", + "or ter", + "ĠSe ason", + "Ġqu ality", + "Ġcan cer", + "Ġv ess", + "Ġpre c", + "20 12", + "200 4", + "ing ham", + "Ġ193 3", + "Ġpolit ics", + "ĠSt ock", + "y es", + "Ġres ident", + "Ġ193 4", + "ĠCro at", + "or ph", + "anc ing", + "Ġra re", + "ĠSpr ing", + "S h", + "ost er", + "ĠAb d", + "Ġcont emporary", + "ĠEngine ering", + "Ġproble m", + "ugu ese", + "ol id", + "ast ers", + "Ġ urban", + "Ġperforman ces", + "Ġtyp ically", + "A n", + "Ġh abit", + "y ond", + "al o", + "ĠR ound", + "p et", + "Ġret ire", + "pl ace", + "Ġmention ed", + "eth ing", + "Ġofficial s", + "l aw", + "Ġnomin ated", + "ĠHe art", + "Ġb ig", + "Ġindust rial", + "9 1", + "Ġcom ing", + "Ġun c", + "ib ly", + "ĠH ard", + "ash ion", + "ĠB on", + "Ġh undred", + "Ġf iction", + "id i", + "w orks", + "Ġpres ence", + "Ġl abor", + "ov i", + "ĠTurk ish", + "Ġbl ue", + "ĠQueens land", + "ĠKh an", + "ĠV o", + "p ass", + "Ġeduc ated", + "ant e", + "9 2", + "it i", + "w ing", + "Ġex c", + "g ar", + "Ġh or", + "20 13", + "ir al", + "ĠJew s", + "ĠH ou", + "ol ved", + "v ard", + "Ġf ast", + "l i", + "id ers", + "is a", + "ĠAdd ition", + "V ID", + "Ġpr in", + "il ing", + "ic ian", + "ĠB alt", + "Ġcol umn", + "hed ral", + "Ġco al", + "g i", + "Ġlarg ely", + "Ġresult ed", + "dis ambiguation", + "Ġrecogn ized", + "osoph y", + "ot ed", + "Ġprob ably", + "ĠI owa", + "ĠAust ria", + "m outh", + "Ġe c", + "Ġ ir", + "ak s", + "ĠG il", + "ĠAr k", + "ĠCommon wealth", + "for mer", + "Ġab andon", + "Ġ192 4", + "Ġb oy", + "Ġdam age", + "d a", + "Ġres erv", + "ĠR ang", + "p son", + "Ġm iles", + "Ġcon cent", + "ĠKent ucky", + "Ġh op", + "ĠBro ther", + "os en", + "ĠO t", + "Ġbur ied", + "ĠE c", + "Ġc ab", + "u ate", + "Ġpaint ing", + "Ġschol ar", + "ĠD own", + "ĠB ah", + "v o", + "ĠC ab", + "Ġc am", + "ĠSports people", + "Ġwid ely", + "act er", + "Ġsc oring", + "G B", + "Ġexp anded", + "5 6", + "Ġc ode", + "Ġ19 00", + "Ġvill ages", + "z h", + "Ġar ts", + "Ġex pected", + "Ġrank ed", + "ol is", + "Ġ193 2", + "Ġ3 7", + "Ġsex ual", + "ĠEntertain ment", + "Ġclass ical", + "Ġsports people", + "Ġb ra", + "ĠSquad ron", + "ĠK itt", + "Ġnew ly", + "Ġrec omm", + "Ġident ified", + "ĠHar ry", + "Ġm m", + "Ġcrit ical", + "Ġf elt", + "Ġgr anted", + "Ġm ill", + "Ġdef end", + "ĠAre a", + "oc ese", + "iqu es", + "ar o", + "ĠC ape", + "Ġp ict", + "u i", + "form ed", + "ain e", + "cl es", + "Ġse arch", + "ĠWal ter", + "Ġsecond ary", + "ĠBel g", + "Ġ rom", + "Ġf ish", + "Ġad apt", + "Ġsqu are", + "ĠH ur", + "ĠManag ement", + "ĠT ony", + "ĠD anish", + "ĠG i", + "Ġcou ple", + "Ġdr ums", + "Ġstar ring", + "Ġal le", + "m itted", + "ro g", + "us ion", + "ĠL ike", + "Ġlos ing", + "Ġb illion", + "Ġwe ight", + "Ġconc ert", + "20 14", + "k es", + "se ason", + "ĠSw iss", + "l ast", + "Ġs ales", + "Ġt aught", + "t ing", + "il ation", + "Ġcre ation", + "Ġcond ition", + "Ġre duced", + "Ġm ess", + "ett ing", + "ĠViet nam", + "ĠN ick", + "Ġco aches", + "Ġdist ance", + "Ġthe atre", + "vi ation", + "Ġcomm ander", + "Ġpress ure", + "8 7", + "Ġresult ing", + "Ġw ild", + "Ġ192 7", + "Ġb al", + "Ġpre mier", + "or ship", + "Ġthere fore", + "Ġoff ers", + "ĠCO VID", + "0 5", + "ĠR on", + "itz erland", + "i ot", + "ĠInf antry", + "ĠProfess ional", + "ĠPort uguese", + "S T", + "Ġcap tain", + "200 3", + "ĠG ord", + "ĠRec ord", + "cl aim", + "ĠReg ional", + "Ġinstr ument", + "ĠS ix", + "Ġlo an", + "oc ated", + "ĠTh rough", + "ĠT an", + "Ġ19 12", + "p ur", + "Ġsp ons", + "4 1", + "ĠAm ong", + "Ġsec ret", + "20 15", + "ĠSim on", + "ĠUk rainian", + "ĠA st", + "ĠB eng", + "ĠSe le", + "Ġt im", + "ĠT reat", + "m es", + "Ġtw ice", + "Ġauthor ities", + "ĠAl b", + "ĠH and", + "Ġrec ently", + "al ing", + "Ġarrest ed", + "ĠF inn", + "Ġsurn ame", + "V D", + "Ġ193 1", + "4 2", + "ad s", + "Ġstr ugg", + "ict ional", + "orn ey", + "h o", + "ĠN ik", + "Ġyoung er", + "Ġform ation", + "p a", + "I C", + "ĠN CAA", + "Ġpre p", + "Ġinj ury", + "ord in", + "Ġbeg ins", + "ĠL abor", + "um es", + "ĠAr men", + "i pe", + "Ġformer ly", + "Ġ192 2", + "ĠBul g", + "Ġra cing", + "ym n", + "0 7", + "Ġatt acks", + "Ġg raph", + "ĠH ans", + "ĠD rag", + "Ġvers ions", + "Ġw all", + "ĠGree ce", + "m iss", + "ĠI l", + "lah oma", + "ĠSt aff", + "0 6", + "Ġfin ish", + "ĠIsrael i", + "ĠAff airs", + "ĠPl an", + "Ġth ous", + "Ġsurround ing", + "Ġprov iding", + "ĠG er", + "ĠAn ne", + "ĠArch ite", + "Ġcrit ics", + "ĠPh ys", + "ay er", + "ĠSpace watch", + "Ġrest aur", + "Ġdis establ", + "b ra", + "os is", + "Ġc e", + "Ġser ious", + "0 8", + "m ont", + "re ll", + "ĠA ud", + "ĠRe al", + "Ġ192 1", + "ĠTok yo", + "ĠAl i", + "Ġvoc al", + "200 1", + "Ġt ree", + "Ġpat tern", + "as ion", + "Ġknow ledge", + "ĠBill board", + "p ool", + "ĠMill er", + "Ġ192 5", + "b i", + "ĠBe c", + "Ġshow ed", + "ĠK at", + "T C", + "ĠTr ust", + "Ġob tained", + "Ġstat istics", + "Ġc arri", + "ĠJac ob", + "Ġspl it", + "ĠN ap", + "Ġreg ions", + "Ġinte g", + "Ġ192 6", + "ann ing", + "ĠBet ween", + "og ue", + "ĠG ab", + "Ġp aid", + "ĠOr iginal", + "Ġrece ive", + "ain ts", + "ĠSw itzerland", + "ĠD omin", + "Ġl ibrary", + "inc oln", + "Ġtra ins", + "iv als", + "ĠMan chester", + "ograp her", + "g ro", + "ĠHol y", + "ĠP ict", + "ĠTh ird", + "ĠAl ab", + "Ġb ow", + "Ġf estival", + "ĠJan e", + "ru it", + "ĠEm peror", + "ĠAnd erson", + "Ġpro pos", + "p ri", + "or i", + "ĠSen ior", + "Ġnot es", + "ĠChrist mas", + "Ġc ells", + "ug al", + "Ġdesign ated", + "ĠOk lahoma", + "ĠBuild ings", + "Ġsp ring", + "og s", + "ĠServ ices", + "l ines", + "Ġn et", + "Ġsup pl", + "in y", + "Ġp ack", + "ĠR a", + "ill er", + "Ġl iber", + "ĠF ac", + "ĠCh ampions", + "20 16", + "Ġmay or", + "Ġim age", + "Ġke pt", + "Ġsugg ested", + "el ine", + "m un", + "Ġmark ed", + "ĠB rian", + "Ġclaim s", + "ific ations", + "Ġtw enty", + "Ġlaun ch", + "Ġtr ue", + "ĠT urn", + "ous es", + "Ġmanag ers", + "Ġreg ul", + "ĠPro te", + "ic ians", + "ĠK am", + "Ġh y", + "ĠB arn", + "Ġd ial", + "f ef", + "ĠA le", + "Ġconfl ict", + "Ġveh icles", + "Ġpain ter", + "ĠChild ren", + "ĠL ar", + "Ġent ry", + "Ġinsp ired", + "ĠLem mon", + "Ġfig ures", + "200 2", + "Ġ192 3", + "Ġh all", + "ĠP oint", + "Ġsp irit", + "Ġre ports", + "Ġ19 16", + "Ġexper iment", + "ate ur", + "4 9", + "Ġsup ply", + "ĠD ue", + "Ġm ales", + "Ġsix th", + "Ġhead quarters", + "ĠN aval", + "Ġb ott", + "ĠFr ont", + "and y", + "ĠRe ception", + "Ġro yal", + "Ġcontin ues", + "Ġconne cted", + "1 00", + "ĠMc G", + "ro om", + "Ġw ins", + "ĠF ord", + "Ġsh op", + "Ġtra ffic", + "Ġd ensity", + "Ġg ives", + "ĠF il", + "ubl in", + "8 9", + "oot h", + "ĠK y", + "4 3", + "Ġport ray", + "N ew", + "ĠR un", + "ĠPr in", + "Ġ19 15", + "fef efe", + "qu es", + "Ġsl ight", + "ch a", + "ri p", + "Ġjud ge", + "Ġmaterial s", + "Ġact ually", + "Ġn ortheast", + "Ġthem e", + "ly wood", + "al so", + "ok ing", + "E R", + "Ġpart ner", + "Ġa im", + "Ġ7 5", + "; \"|", + "20 17", + "oth s", + "Ġop position", + "Ġcomp on", + "ĠP op", + "rat or", + "ĠAlab ama", + "ĠLab our", + "ĠHow ard", + "Ġpromot ion", + "Ġsucceed ed", + "Ġpur pose", + "Ġcl imate", + "ĠBas ketball", + "ĠAlbum s", + "ĠL ow", + "ol ished", + "u ous", + "ĠR ose", + "r in", + "ene z", + "ĠF ame", + "ĠL incoln", + "Ġte aching", + "ĠI V", + "ro it", + "Ġgre ater", + "ĠHam ilton", + "ĠE ric", + "ĠSing les", + "v ens", + "ĠN ative", + "Ġtri ed", + "ĠL ieutenant", + "Ġcompet itions", + "Ġet c", + "6 7", + "Ġfac ility", + "A A", + "ĠPl ot", + "ĠB attalion", + "ĠT el", + "l an", + "Ġallow ing", + "ional ly", + "l ife", + "ĠMiss iss", + "Ġb att", + "b ot", + "ĠB urn", + "ĠSur vey", + "Ġt alk", + "Ġpres erv", + "Ġs ays", + "ĠAust rian", + "ĠDou gl", + "off s", + "ĠK az", + "ĠY outh", + "0 1", + "Ġmusic ian", + "ĠN ich", + "ecut ive", + "ĠS n", + "ĠMar ine", + "Ġacc ident", + "ag u", + "ik h", + "hes s", + "Ġ4 2", + "Ġc ert", + "ĠFor ces", + "Ġsc ript", + "Ġvis it", + "wh ich", + "ipp i", + "ed ing", + "Ġhistor ian", + "e ast", + "Ġto wer", + "Ġsing ers", + "Ġpublic ation", + "Ġscient ific", + "ur ance", + "Ġt ells", + "Ġ @", + "ĠCh annel", + "ĠMount ains", + "Ġcan not", + "u v", + "ĠDes cription", + "ord an", + "Ġreturn ing", + "Ġgrow ing", + "Ġexist ing", + "ĠExp atriate", + "Ġf ully", + "ĠLoc al", + "ctic ut", + "ĠHar vard", + "achel or", + "ĠBuild ing", + "ĠArgent ina", + "Ġp le", + "Ġappl ied", + "Ġsl ow", + "Ġp air", + "ure au", + "Ġle tt", + "Ġsit uation", + "Ġal one", + "ĠCur rent", + "ad i", + "Ġm om", + "ut her", + "20 18", + "ĠHon or", + "Ġall ows", + "rel ated", + "st ic", + "Ġmag n", + "id ge", + "Ġa ired", + "ĠTem ple", + "olog ists", + "Ġmet res", + "Ġd raft", + "Ġop pos", + "Ġsp ot", + "ĠC ost", + "ĠN ow", + "d am", + "ĠPri x", + "st an", + "Ġfight ing", + "ĠW olf", + "in th", + "ĠD om", + "ĠM it", + "f inals", + "ist ry", + "Ġm ut", + "ĠR oll", + "ĠG ram", + "5 7", + "Ġy ellow", + "Ġc art", + "is er", + "ĠPro t", + "ĠMor ris", + "Ġd iplom", + "' .", + "w ich", + "Ġmeas ure", + "ard o", + "Ġsit uated", + "D on", + "Ġs uit", + "Ġun ique", + "Ġm ap", + "ial s", + "Ġ19 13", + "ĠA uthor", + "Ġsaf ety", + "ĠConne cticut", + "ĠSt one", + "Ġs ons", + "Ġbrother s", + "ĠAnth ony", + "20 19", + "Ġpr int", + "ast e", + "Ġad vanced", + "ĠL as", + "ĠJ am", + "Ġw ant", + "Ġe arth", + "Ġmain tain", + "Ġhe av", + "ol as", + "ĠHistor ical", + "ĠN ag", + "or gan", + "Ġgu est", + "clud ing", + "Ġfe et", + "ingu ished", + "ĠL ank", + "ĠSec urity", + "ĠCol omb", + "ĠB rand", + "igen ous", + "ĠJ ay", + "Ġold est", + "Ġag ent", + "ĠPat rick", + "eral d", + "ch i", + "ĠTai wan", + "Ġhand s", + "Ġclass es", + "on om", + "ĠSt ory", + "ĠQue bec", + "at al", + "out s", + "ĠSil ver", + "ell o", + "est er", + "ĠK arl", + "Ġs ides", + "h ol", + "Ġb ill", + "Ġly rics", + "ĠN FL", + "s ort", + "Ġchart s", + "c ont", + "ĠD ur", + "Ġfl ood", + "ĠSund ay", + "ĠW ell", + "ant on", + "ĠC ulture", + "Ġgo es", + "Ġnar row", + "Ġth ings", + "Ġv ice", + "ĠEr n", + "Ġl ot", + "ĠN a", + "ĠMag azine", + "ĠJu an", + "Ġh orse", + "ĠR ural", + "Ġch osen", + "j oy", + "Ġp un", + "ĠT ar", + "ĠL in", + "inem a", + "Ġg all", + "ĠV is", + "Ġar ms", + "Ġme ant", + "at us", + "6 8", + "ĠP ot", + "Ġset s", + "Ġloc omot", + "Ġtem ple", + "os lav", + "Ġex change", + "im ens", + "ĠC ensus", + "ĠN on", + "ress ion", + "ĠBec ause", + "ĠHou ston", + "Ġr isk", + "ĠW y", + "d ied", + "Ġcor por", + "ĠH un", + "Ġe as", + "ĠH amp", + "ĠLouis iana", + "Ġs ail", + "Ġth ir", + "ĠBrig ade", + "Ġport ion", + "Ġcommission ed", + "Ġpro ceed", + "z z", + "y ers", + "Ġal t", + "ĠDie go", + "ĠN Y", + "Ġsugg est", + "ĠLiber al", + "z en", + "Ġchall eng", + "h r", + "val ue", + "Ġb ought", + "Ġprincip al", + "Ġauthor ity", + "Ġ19 11", + "ra it", + "ig ration", + "Ġn ob", + "Ġro ll", + "l ades", + "Ġf olk", + "ĠF ellow", + "ĠT un", + "Ġcomplet ely", + "Ġneighbor hood", + "Ġachie ved", + "Ġs outheast", + "Ġanim als", + "ĠAll en", + "Ġre ference", + "Ġhold s", + "Ġcust om", + "ĠBelg ium", + "ĠLt d", + "el ve", + "ĠD ream", + "ĠSever al", + "ĠCh all", + "ĠH ockey", + "ĠAb out", + "Ġgl obal", + "pect s", + "ĠC emetery", + "ĠR ace", + "199 9", + "Ġref used", + "d es", + "Ġprote ction", + "bo x", + "ĠV in", + "S e", + "ĠK u", + "ĠPu erto", + "am ing", + "ĠTod ay", + "Ġexhib ition", + "ĠB ry", + "ag er", + "und er", + "o es", + "uc cess", + "Ġappro ved", + "ĠAmerican s", + "Ġattempt ed", + "5 1", + "Ġrap id", + "j o", + "Ġint ers", + "Ġ4 8", + "ĠS in", + "au x", + "ĠV ice", + "Ġcont ain", + "Ġveh icle", + "Ġsett led", + "Ġt ennis", + "Ġsoc cer", + "Ġsy m", + "Ġf ans", + "Ġa ctions", + "ĠP ap", + "Ġcre ating", + "ĠG ib", + "ĠGord on", + "ĠHung arian", + "Ġad vert", + "Ġ4 1", + "ĠDet roit", + "Ġl ake", + "Ġvis ited", + "ĠDougl as", + "6 4", + "Ġdef ined", + "ĠLegisl ative", + "if ically", + "Ġend ing", + "ĠPort ugal", + "ind er", + "Ġnecess ary", + "ĠAnton io", + "Ġcomb at", + "ress ed", + "Ġf air", + "iam i", + "pr ise", + "Ġattack ed", + "I T", + "ĠTer rit", + "c ar", + "rid ges", + "ĠDen mark", + "iv a", + "ag en", + "ĠHer itage", + "ĠP ed", + "ivers ary", + "Ġpil ot", + "S R", + "are n", + "Ġsim ply", + "ac hers", + "Ġrece iving", + "ĠPlay er", + "ĠMississ ippi", + "Ġaud ience", + "b ar", + "Ġ190 8", + "Ġconsist ed", + "Ġcont aining", + "ĠS el", + "t i", + "Ġag ed", + "Ġoper a", + "Ġadv ance", + "ur i", + "Ġres ources", + "Ġst orm", + "Ġfound ing", + "Ġun able", + "um a", + "ĠN ar", + "Ġdirect ors", + "ou red", + "ĠBang lades", + "ĠA D", + "ĠT rib", + "ĠIslam ic", + "Ġmethod s", + "ĠM and", + "Ġrepresent ative", + "ĠO ak", + "secut ive", + "ĠEn vironment", + "Ġexp ansion", + "Ġrepresent ing", + "Ġfl ow", + "ĠA C", + "Ġvol ume", + "Ġcons um", + "g or", + "Ġsubsequ ent", + "Ġd aily", + "Ġinh abit", + "Ġactress es", + "ĠOffic er", + "Ġloc ations", + "Ġproper ties", + "ĠFreder ick", + "ĠSam uel", + "Ġg od", + "Ġf ought", + "0 9", + "Ġattempt s", + "ag an", + "we et", + "ĠN atural", + "ĠB erg", + "Ġro of", + "Ġbro ke", + "Ġra in", + "ĠInd ependent", + "ĠAl an", + "Ġmach ine", + "gh an", + "Ġte le", + "Ġsim ple", + "ist a", + "ĠD al", + "en h", + "ĠF ern", + "Ġtre es", + "ĠS ky", + "ag ues", + "ĠEx press", + "Ġsched uled", + "ris is", + "le ts", + "Ġv ent", + "ĠR ivers", + "Ġfrequ ently", + "Ġresp ond", + "ĠIn formation", + "ĠR ab", + "ĠMus ical", + "Ġsh ared", + "p o", + "Ġb urn", + "ab ad", + "ĠB an", + "Ġretire ment", + "im ents", + "ĠPit ts", + "Ġcandid ates", + "ĠM aur", + "ile y", + "Ġw ear", + "Ġex clus", + "ĠWh it", + "Ġj azz", + "Ġop pon", + "Ġst ock", + "Ġ ;", + "in er", + "ĠR oc", + "P A", + "ĠY our", + "P S", + "5 2", + "ĠCl ark", + "ĠAnd re", + "Ġmem ory", + "5 3", + "os ed", + "Ġpie ce", + "Ġs pect", + "d on", + "Ġconver ted", + "Ġrel atively", + "an ia", + "Ġdr iver", + "Ġsom ething", + "ĠWel sh", + "a ctions", + "Ġstra ight", + "Ġch ampions", + "Ġliter ary", + "Ġpresident ial", + "Ġqual ified", + "Ġeffect ive", + "ĠPh ill", + "ĠJ ordan", + "Ġcop ies", + "Ġdef in", + "Ġg uns", + "5 4", + "ig ation", + "Ġunder st", + "us es", + "Ġm is", + "Ġwin ter", + "stitut ional", + "ĠB ird", + "Ġl it", + "ĠP un", + "ĠU N", + "l ong", + "ĠL I", + "ĠD h", + "ĠK a", + "ĠEx ecutive", + "Ġch urches", + "Ġ3 00", + "ie val", + "Ġm orning", + "Ġdr ive", + "Ġult imately", + "enn y", + "ĠAl ban", + "Ġinc ident", + "ip ients", + "n i", + "op ter", + "ĠB ou", + "ĠDo ctor", + "o en", + "Ġin aug", + "Ġgirl s", + "r um", + "ĠIndones ia", + "Ġfoc used", + "ĠIn ternet", + "Ġapp oint", + "Ġdrop ped", + "ĠA ge", + "Ġpol ic", + "Ġtr ust", + "Ġdom estic", + "Ġres c", + "Ġoccup ied", + "ĠHot el", + "Ġdef ense", + "Ġc overs", + "Ġend s", + "8 4", + "ĠG ard", + "Ġf aced", + "ĠM iami", + "ud i", + "ĠVill age", + "Ġperform ing", + "in burgh", + "ent ed", + "g ment", + "Ġshort ly", + "ĠComp et", + "Ġneg oti", + "ĠL am", + "ĠE ag", + "Ġcateg ory", + "Ġr ang", + "ĠC ricket", + "Ġent itled", + "Ġprof ile", + "ĠBo x", + "od ox", + "ĠSchool s", + "f all", + "Ġalle ged", + "ph as", + "ĠSqu are", + "ĠAdminist ration", + "o a", + "az a", + "l ad", + "Ġrecogn ition", + "ĠC ultural", + "ord ers", + "Ġ4 6", + "Ġcon secutive", + "w ise", + "Ġop posed", + "A M", + "0 4", + "U S", + "Ġre ar", + "ĠD ave", + "Ġa st", + "ĠU C", + "Ġch o", + "Ġse em", + "an es", + "ig e", + "Ġh arm", + "Ġprot est", + "ĠPri or", + "ĠPal est", + "stru cture", + "al ty", + "ĠF und", + "Ġ iron", + "ĠK ey", + "Ġsett ing", + "Ġcons ult", + "Ġtouch down", + "Ġ4 3", + "ĠC all", + "Ġdec or", + "ĠVill ages", + "Ġlearn ing", + "ĠIm perial", + "ĠK er", + "ĠD ak", + "ffic ient", + "og en", + "Ġin ternal", + "ik i", + "Ġident ity", + "ĠD ublin", + "199 8", + "ĠAcadem ic", + "ud get", + "ĠB ureau", + "Ġhe ight", + "Ġs um", + "Ġkill ing", + "Ġinvestig ation", + "or ough", + "ĠP ope", + "ĠF arm", + "p ret", + "Ġmic ro", + "Ġact s", + "Ġperman ent", + "ful ly", + "Ġmax imum", + "Ġ189 0", + "ĠOr th", + "Ġair port", + "aw n", + "ĠL anc", + "o ok", + "7 2", + "Ġpre par", + "ĠBudd h", + "en z", + "Ġgu ard", + "ĠD a", + "l ov", + "Ġb ul", + "d ale", + "Ġcon vers", + "Ġcontribut ed", + "Ġemploy ed", + "st ream", + "B l", + "ĠAthlet ics", + "Ġfield s", + "Ġ4 00", + "Ġhot el", + "ĠM ach", + "ĠPro f", + "Ġappl ication", + "ĠUp on", + "ĠOn ly", + "or ia", + "ĠMo ore", + "sc ape", + "ĠPr iv", + "Ġlett ers", + "m it", + "Ġlaw yer", + "Ġcorn er", + "20 20", + "ĠStud ios", + "ĠL ast", + "ac ent", + "\" ),", + "5 9", + "ĠI S", + "Ġhe ro", + "Ġenvironment al", + "ow nt", + "ay an", + "ĠIn n", + "Ġk il", + "ĠTam il", + "Ġ4 9", + "7 4", + "Ġnorm al", + "Ġland s", + "Ġher self", + "ĠMr s", + "Ġpaint ings", + "Ġoffic es", + "ĠArk ansas", + "ĠD ark", + "Ġinst all", + "ot te", + "g ency", + "ĠF M", + "ail and", + "ĠS ud", + "ĠT ig", + "Ġdeterm ined", + "Ġon to", + "Ġeconom y", + "Ġs ust", + "a ver", + "G en", + "Ġre in", + "ĠD all", + "Ġviol ence", + "Ġs ense", + "ĠRober ts", + "ĠSh ar", + "Ġspe ech", + "ĠC ru", + "ĠMalays ia", + "ĠM em", + "Ġcolle cted", + "Ġtechn ical", + "Ġocc urs", + "Ġestablish ment", + "Ġmult i", + "Ġvir t", + "Ġro t", + "ĠCl in", + "Ġbe gin", + "Ġsy nt", + "ĠD C", + "8 1", + "ĠV enez", + "ĠF riend", + "Ġext ensive", + "ĠC er", + "ĠAn na", + "Ġaltern ative", + "ĠL ang", + "ĠDep uty", + "red ited", + "ĠMatt hew", + "ĠEd inburgh", + "ĠGl obal", + "Ġcomp ris", + "ic ts", + "Ġcomp ar", + "ĠHaw ai", + "ap pe", + "ĠC our", + "ĠE ner", + "ĠL ith", + "199 7", + "le ep", + "ĠB art", + "Ġmer ch", + "ĠL yn", + "ĠCommun ist", + "ĠF em", + "7 9", + "6 1", + "Ġim pr", + "ĠBel gian", + "ĠBow l", + "ĠN el", + "ra c", + "Ġenc oura", + "Ġs ay", + "Ġmerg ed", + "ww w", + "at ab", + "ol o", + "Ġs an", + "p oint", + "ĠD VD", + "Ġdo ctor", + "f e", + "se ud", + "ĠSt ew", + "7 1", + "le ase", + "vel and", + "ĠG arden", + "ĠPlay ers", + "Ġj ur", + "Ġhigh way", + "Ġpower ful", + "Ġsupport ing", + "ĠSing h", + "Ġpoet ry", + "Ġstri ke", + "ĠOr chestra", + "ol y", + "ĠKe vin", + "Ġdyn asty", + "Ġarran g", + "olle y", + "ill ing", + "GB T", + "Ġse ctor", + "iss ance", + "Ġc as", + "ĠFin land", + "Ġen joy", + "d i", + "Ġav oid", + "Ġcent uries", + "Ġst adium", + "ĠG ian", + "ĠC ow", + "Ġgen eration", + "ĠComm ander", + "ĠMay or", + "Ġo x", + "Ġexpress ed", + "Ġf ranch", + "ĠR ow", + "im ore", + "ĠM oon", + "Ġ190 9", + "ĠAlf red", + "Ġgl ass", + "ĠP ra", + "ograph ical", + "Ġf ashion", + "Ġres igned", + "Ġc reat", + "ad ow", + "ĠSc ient", + "ĠT it", + "d ie", + "Ġre ign", + "ĠD ick", + "S p", + "Ġhold ing", + "Ġpartn ership", + "20 21", + "Ġ190 5", + "8 3", + "Ġcontra st", + "Ġpat ients", + "ĠDon ald", + "Ġapp arent", + "Ġmat ter", + "Ġ190 6", + "Ġp and", + "0 3", + "ĠP a", + "ĠJoh ann", + "Ġplann ing", + "Ġa uth", + "Ġbe yond", + "D e", + "Ġr ing", + "ĠH ills", + "Ġdec re", + "Ġm and", + "ren a", + "ac he", + "inc orporated", + "eng ers", + "Ġ3 9", + "oy d", + "Ġsp ok", + "Ġm arg", + "ĠSh ah", + "Ġfin ishing", + "Ġph ase", + "Ġpie ces", + "our ney", + "Ġre asons", + "Ġabandon ed", + "n ote", + "Ġcerem ony", + "Ġen emy", + "ĠPro du", + "Ġf uel", + "Ġs ought", + "r ine", + "ĠG on", + "Ġweap ons", + "ĠHon ours", + "E A", + "ĠQ ual", + "Ġind ependence", + "ry st", + "Ġneed s", + "Ġval ley", + "' '", + "ĠFootball ers", + "ĠAlex and", + "8 2", + "Ġfun ctions", + "az ines", + "Ġvis ual", + "e qu", + "ism s", + "Ġinj ured", + "Ġk ick", + "st ead", + "Ġcast le", + "ĠW he", + "Ġsuccessful ly", + "ĠH unt", + "ĠLaw rence", + "Ġfail ure", + "Ġ190 7", + "Ġjun ior", + "Ġfl u", + "s et", + "ĠAtl anta", + "Ġeduc ational", + "ĠF u", + "Ġw alls", + "ram a", + "ĠR yan", + "f ound", + "Ġbro wn", + "Ġpra ised", + "Ġsec retary", + "ĠTh ailand", + "ic ide", + "ur ation", + "ĠG ri", + "ĠMont real", + "ra f", + "olog ies", + "ĠH ug", + "ist ant", + "ĠMic ro", + "Ġst ating", + "Ġfind s", + "ĠM ale", + "ob e", + "Ġr ival", + "Ġwrit e", + "ist ers", + "ia b", + "ĠWalk er", + "Ġcr iminal", + "Ġs ac", + "ĠT ourn", + "0 2", + "ĠLa ure", + "Ġm ind", + "f r", + "ĠE ven", + "Ġconstitu ency", + "ĠR ub", + "ĠThe n", + "Ġde ploy", + "ĠAl umni", + "ĠUt ah", + "Ġim pl", + "ĠN ob", + "bor ough", + "Ġslight ly", + "rom e", + "ĠL og", + "Ġinhabit ants", + "wh ile", + "cy cl", + "Ġeth nic", + "Ġconne ction", + "ĠMunicip al", + "ĠWh at", + "re ct", + "ap ted", + "Ġinv ited", + "Ġro ugh", + "Ġt ry", + "199 6", + "ĠAg ric", + "199 0", + "ĠL iga", + "Ġregard ing", + "Ġback ing", + "og y", + "alle l", + "Ġw ays", + "ĠE nt", + "Ġinv asion", + "Ġwe alth", + "Ġfund ing", + "Ġprov ision", + "ĠF al", + "Ġs and", + "ĠL GBT", + "f rom", + "Ġref ers", + "I N", + "Ġh ydro", + "ĠK ings", + "Ġprogram me", + "Ġf resh", + "f riend", + "ĠAf ghan", + "act ive", + "ĠRel ig", + "if ul", + "ĠCle veland", + "ĠN av", + "Ġste el", + "on i", + "ĠI ce", + "ĠArgent ine", + "Ġdevelop ing", + "Ġpol y", + "6 3", + "Ġvot ed", + "199 5", + "Ġh yp", + "ul es", + "Ġder ived", + "D P", + "Ġpri est", + "Ġord ers", + "ĠMc K", + "ant asy", + "che ll", + "ĠCh ampion", + "ĠN ep", + "Ġent rance", + "Ġtown ship", + "c ome", + "Ġrelig ion", + "R C", + "Ġad ult", + "Ġh ired", + "ĠL iver", + "I t", + "ĠMP s", + "ĠPitts burgh", + "Ġpublic ations", + "Ġam b", + "ĠP as", + "Ġpass enger", + "Ġtemper ature", + "Ġadv ant", + "ĠH op", + "ĠO w", + "ĠSy m", + "ĠY ug", + "Ġpass ing", + "ĠB oys", + "r un", + "ĠP ur", + "f ather", + "Ġpremier ed", + "ĠRog er", + "fect ure", + "ĠRes erve", + "ĠSt age", + "Ġcall s", + "ĠC hem", + "ĠP rom", + "n ia", + "Ġnucle ar", + "ĠM ission", + "h ard", + "ĠMarg aret", + "and o", + "iam ond", + "ĠMet ropolitan", + "Ġ190 4", + "Ġp owers", + "Ġm el", + "Ġin stru", + "ĠD igital", + "v ements", + "Ġcaus ing", + "ĠW ard", + "ele ction", + "B I", + "or age", + "ĠE qu", + "Ġequ al", + "ĠSerb ian", + "7 3", + "Ġcl in", + "ish ops", + "ĠA M", + "ot ic", + "ĠI ron", + "ours es", + "ĠOtt oman", + "ĠG ene", + "ĠG ran", + "z er", + "Ġres erve", + "ĠRoman ian", + "ĠPet ers", + "Ġgen era", + "Ġinvol ving", + "ĠL l", + "Ġd a", + "Ġd ates", + "ĠB eat", + "6 2", + "ĠY an", + "ĠDis ney", + "ap olis", + "Ġfund s", + "ĠL et", + "Ġbo at", + "Ġem phas", + "ĠRail road", + "Ġc row", + "ĠS ac", + "Ġbas ic", + "ĠHung ary", + "ĠF el", + "Ġg ar", + "Ġesc ape", + "\" ).", + "ĠRoman ia", + "ĠJes us", + "ut ies", + "Ġpass es", + "Ġ *", + "Ġsele ction", + "ĠCom ics", + "Ġdec ades", + "ĠVenez uel", + "ĠR ick", + "us al", + "ĠF ight", + "ĠN AS", + "Ġprote ct", + "ĠM ult", + "ust er", + "Ġfle et", + "Ġconclud ed", + "Ġv o", + "Ġcont ained", + "pos es", + "ĠI mp", + "ter m", + "Ġpand emic", + "Ġv arian", + "Ġinc orporated", + "b urn", + "ĠGirl s", + "Ġy our", + "ĠM es", + "Ġp ed", + "ĠTransport ation", + "Ġ5 2", + "clus ion", + "Ġcompet e", + "Ġb ishop", + "ĠR io", + "Ġcompos ition", + "Ġtra v", + "ĠFinn ish", + "Ġm art", + "ĠS C", + "Ġdo ing", + "ĠBu ff", + "m ers", + "Ġregist ered", + "ĠWh o", + "is f", + "a fter", + "ĠFlor a", + "on omy", + "Ġadv oc", + "m at", + "s ki", + "Ġinflu enced", + "Ġinst alled", + "ĠD ance", + "s ong", + "ang er", + "ĠF all", + "ĠIn vest", + "' m", + "ĠHol lywood", + "ĠMic hel", + "av ed", + "Ġc ru", + "ĠSe attle", + "ĠN eb", + "Ġr ise", + "Ġtransl ation", + "Ġrequ est", + "ĠGr ant", + "Ġsome one", + "oth ing", + "Ġ188 0", + "% .", + "Ġsh ape", + "Ġe mp", + "A P", + "ap es", + "h ing", + "Ġexist ence", + "Ġo vers", + "n ers", + "Ġw arn", + "n et", + "uk i", + "Ġworld wide", + "Ġjoin ing", + "re es", + "Ġl aid", + "ĠR y", + "n ight", + "ĠR ights", + "Ġa id", + "ra cy", + "or f", + "ograph ics", + "Ġobserv ed", + "ĠMet ro", + "II I", + "Ġarg ued", + "Ġform al", + "Ġsc enes", + "W e", + "Ġview s", + "Ġemploy ees", + "ĠN et", + "Ġw atch", + "Ġdet ails", + "z i", + "Ġp ione", + "Ġconsist ing", + "Ġexper ien", + "ĠV eg", + "Ġmain tained", + ") \"", + "ĠP rad", + "re te", + "ĠCam er", + "ĠDef ense", + "Ġhom es", + "ĠT ak", + "hemat ics", + "ĠBalt imore", + "ĠF ive", + "ri k", + "Ġprom ote", + "Ġb odies", + "ĠB ull", + "or ro", + "ĠOb last", + "Ġan th", + "el and", + "Ġeng aged", + "Ġan aly", + "ĠEner gy", + "Ġrecord ings", + "ownt own", + "ret t", + "Ġcar ry", + "Ġ190 3", + "Ġsup erv", + "ĠPubl ishing", + "c ia", + "Ġanim al", + "ĠSe ction", + "L C", + "ĠBru ce", + "Ġdr ivers", + "Ġs oci", + "Ġsol id", + "un ction", + "Ġbir ds", + "ĠMar ie", + "ĠAr n", + "ĠCh amber", + "Ġsc ale", + "Ġstart s", + "Ġanim ated", + "h ar", + "ĠG a", + "ĠS af", + "S c", + "ĠMor gan", + "Ġstat ement", + "Ġcricket ers", + "Ġt or", + "ĠU E", + "Ġacc used", + "ra structure", + "as a", + "Ġband s", + "Ġop in", + "6 9", + "ĠPal ace", + "ĠTh ough", + "Ġcon stant", + "ĠColon el", + "r ations", + "ĠA y", + "idd en", + "Ġheav ily", + "ĠK an", + "ĠF ried", + "ĠR acing", + "Ġsur vey", + "Ġp ull", + "Ġqu ant", + "O R", + "Ġn om", + "Ġ5 1", + "ĠRuss ell", + "bass ador", + "un c", + "emb le", + "ĠWrit ers", + "Ġch air", + "ol t", + "Ġre aching", + "ell i", + "ĠB uck", + "st ar", + "ĠH ere", + "Ġtra ined", + "ov o", + "ang el", + "Ġso le", + "ĠKn ight", + "Ġpl ot", + "ul ate", + "ĠR ot", + "ĠCl ar", + "Ġad vent", + "Ġprote in", + "le te", + "ur day", + "Ġt ropical", + "Ġ5 5", + "ol ph", + "ĠP ear", + "pect ive", + "ĠOper ation", + "Ġspec ifically", + "ect s", + "ĠKel ly", + "Ġfound ation", + "Ġstand ards", + "Ġb atter", + "Ġass ess", + "Ġext rem", + "l on", + "ond er", + "Ġt rying", + "Ġ190 2", + "Ġ190 1", + "Ġarch ae", + "Ġeff ic", + "Ġcom ic", + "od a", + "ival ent", + "ĠSoc cer", + "p ers", + "ĠPe ace", + "Ġaff ected", + "ĠCro wn", + "ĠLe v", + "ĠChrist opher", + "id el", + "Ġb an", + "ch t", + "Ġchem ical", + "Ġis lands", + "Ġun cle", + "ĠF A", + "erb ai", + "Ġag ency", + "ĠD yn", + "h op", + "ather ine", + "ĠEx t", + "Ġimport ance", + "=\" #", + "ĠR est", + "it als", + "Ġbehav ior", + "ĠV ik", + "Ġtw elve", + "Ġvol unte", + "ĠP ad", + "Ġt un", + "Ġcomp ut", + "Ġt end", + "ĠYug oslav", + "arg o", + "ĠBanglades h", + "ĠPrin cess", + "Ġexp ed", + "t hen", + "d o", + "Ġto ward", + "Ġimpro ve", + "it ations", + "ĠP atri", + "Ġs ale", + "Ġm ent", + "ĠAd vent", + "ann ed", + "t op", + "et ies", + "int end", + "Ġhe ard", + "ĠDe an", + "ĠCo le", + "ĠLe ban", + "Ġtransl ated", + "Ġw rest", + "I V", + "ĠBroad cast", + "Ġv ide", + "ĠDe ad", + "Ġreb u", + "ĠPerson nel", + "ĠR and", + "Ġobject s", + "ĠStud io", + "or us", + "ine a", + "Ġh air", + "ĠMed icine", + "ĠP y", + "ash i", + "ĠMunicip ality", + "Ġs ession", + "ĠStew art", + "199 4", + "ĠYear s", + "ir t", + "ĠR an", + "Ġintro duction", + "aught ers", + "Ġre ality", + "Ġshe ll", + "Ġreg iment", + "Ġeng ines", + "ĠE ver", + "ĠFI FA", + "Ġneg ative", + "Ġl at", + "Ġse venth", + "Ġrece ption", + "ĠGl as", + "Ġpaint ers", + "ĠM aj", + "us cript", + "go ing", + "Ġde leg", + "ĠC are", + "Ġdep uty", + "ĠVi enna", + "own ed", + "Ġres istance", + "ann y", + "Ġw eather", + "Ġstr ateg", + "Ġsecond s", + "Ġcollabor ation", + "ĠCE O", + "ud a", + "ĠK on", + "Ġlic ens", + "Ġth row", + "Ġa head", + "es c", + "ĠHamp shire", + "bo ards", + "Ġar med", + "com ing", + "Ġn ick", + "Ġ4 7", + "b r", + "Ġ ille", + "Ġ {", + "ĠS ign", + "ĠMar ket", + "Ġdescrib es", + "Ġposs ess", + "ĠO ri", + "Ġad apted", + "ĠTourn ament", + "ĠL en", + "wh ite", + "Ġrul ed", + "ĠL ib", + "ĠB ed", + "ĠAss oci", + "ĠNe v", + "ĠTr ade", + "g ow", + "Ġproduc ing", + "os m", + "Ġext ension", + "est yle", + "Ġm ole", + "Ġaccom pan", + "ĠLith uan", + "ĠAng l", + "umb ent", + "Ġdist inct", + "ĠT rad", + "Ġz one", + "Ġbrief ly", + "D A", + "uss ion", + "ĠMe an", + "us hed", + "Ġd ivers", + "Ġp rice", + "Ġprov ed", + "Ġfact ory", + "ĠNel son", + "am ic", + "Ġ ri", + "ĠP sych", + "ĠG ill", + "le vel", + "Ġcall ing", + "C l", + "am an", + "ĠAz erbai", + "ĠE ston", + "ĠH orn", + "Ġdivision s", + "em en", + "Ġ ere", + "Ġentire ly", + "Ġpri ze", + "Ġste am", + "ĠPh ot", + "ĠO ur", + "Ġmar ine", + "ĠA T", + "ĠCamp bell", + "Ġcompos ers", + "Ġrev olution", + "ĠDall as", + "ĠLiver pool", + "Ġex erc", + "ink ing", + "Ġim ages", + "Ġle ct", + "M ar", + "ĠMain e", + "ĠSup port", + "Ġg ain", + "Ġclos ely", + "Ġup d", + "ĠConserv ative", + "aval ry", + "olley ball", + "ĠCh airman", + "in cluding", + "ĠOn ce", + "in ian", + "ĠAthlet ic", + "Ġschol ars", + "b al", + "Ġres idence", + "ect ive", + "Ġagric ultural", + "ĠA rena", + "ĠEconom ic", + "ĠH end", + "ming ham", + "ĠD od", + "ĠThom pson", + "ĠCarl os", + "ell ite", + "am s", + "Ġr ating", + "Ġch ose", + "duc ing", + "199 3", + "ĠAust in", + "ĠSar ah", + "ĠD ra", + "Ġnorth west", + "ĠK ra", + "ic it", + "Ġcaus es", + "Ġappl ications", + "ĠJim my", + "ah n", + "Ġdist in", + "Ġed ited", + "Ġinter ior", + "as ka", + "ov ation", + "ĠE very", + "Ġp ages", + "d y", + "Ġcontribut ions", + "Ġide as", + "Ġac id", + "ĠEp is", + "ĠNor man", + "ab y", + "ĠC hen", + "ĠF ood", + "Ġsur g", + "ĠM ethod", + "ĠAll iance", + "Ġsh all", + "th m", + "ina e", + "ĠW right", + "Ġm ilit", + "Ġdoc uments", + "ĠCom ple", + "ĠH ell", + "un ch", + "Ġcolon ial", + "Ġre duce", + "il er", + "Ġloc ality", + "Ġent ertain", + "Ġsymb ol", + "Ġin form", + "Ġcop y", + "Ġpass engers", + "ĠOrth odox", + "Ġdo or", + "f inal", + "ĠKenn edy", + "Ġfl at", + "Ġlead s", + "ĠUE FA", + "Ġproduc ers", + "ĠR ain", + "ĠPl at", + "Ġed ge", + "Ġdis miss", + "ĠAg ency", + "Ġp up", + "Ġopportun ity", + "in ch", + "ate gy", + "20 22", + "Ġathlet es", + "Ġ189 8", + "Ġch oice", + "Ġem ot", + "Ġg arden", + "inn er", + "Ġrail road", + "Ġbelie ve", + "Ġcharg es", + "Ġ5 4", + "aut iful", + "Ġgradu ate", + "og ether", + "199 2", + "Ġc rown", + "ins ula", + "Ġroad s", + "Ġstreng th", + "ent ially", + "ĠR ud", + "ĠBe ck", + "ĠO m", + "ĠN ord", + "ir i", + "Ġregard ed", + "Ġtechn iques", + "Ġw itness", + "Ġposs ibly", + "ĠOper a", + "p erson", + "ĠE mer", + "ĠAdam s", + "ĠL ower", + "ph a", + "Ġcomp ilation", + "ĠBrook lyn", + "ult an", + "W est", + "ĠB omb", + "Ġdebut ed", + "Ġpro ced", + "Ġinter ests", + "rane an", + "ĠSen ator", + "Ġon es", + "ĠK it", + "am o", + "uc ks", + "v ia", + "ĠFrank lin", + "Ġg etting", + "Ġres ign", + "ĠAp p", + "ar us", + "ĠBern ard", + "Ġimpro ved", + "Ġre ally", + "ĠB illy", + "ĠG ulf", + "ĠD ub", + "ĠN ash", + "Ġm ist", + "ph ony", + "at ures", + "ĠDem ographics", + "Ġcomm itted", + "ĠSerb ia", + "et ime", + "h aps", + "Ġa er", + "Ġoper ate", + "Ġdist ributed", + "Ġf lying", + "Ġan cest", + "ĠCo oper", + "ĠVol ume", + "aw are", + "ĠPort land", + "ob a", + "or ial", + "ter ed", + "Ġref uge", + "ĠRob inson", + "ĠTr ump", + "ĠDak ota", + "ĠCat al", + "ĠCon stitution", + "Ġadj acent", + "el er", + "ĠN am", + "Ġparticip ate", + "a ire", + "Ġf ine", + "ĠLI NE", + "ĠBir mingham", + "Ġc ore", + "le e", + "Ġsing ing", + "ĠP ir", + "ĠH om", + "Ġa x", + "Ġint elligence", + "ĠStan ley", + "are st", + "ĠBrother s", + "ĠI van", + "in ate", + "p en", + "Ġfav our", + "ĠW restling", + "p ir", + "Ġcon vent", + "Ġus ers", + "Ġw aters", + "Ġen l", + "Ġ15 0", + "Ġ189 9", + "Ġval ues", + "Ġcont rolled", + "ug ar", + "Ġs am", + "Ġdam aged", + "ĠL ud", + "Ġground s", + "oc racy", + "Ġcle an", + "Ġob tain", + "y pe", + "ĠUp per", + "Ġqu ite", + "u ct", + "Ġh am", + "ish ment", + "ĠTra ining", + "ĠMot or", + "b ach", + "Ġb rig", + "ĠMur ray", + "Ġ187 0", + "fer red", + "ĠV ari", + "ĠW ol", + "Ġsurv ived", + "Ġdemon st", + "ĠCon struction", + "writ ers", + "ic ate", + "ĠW a", + "Ġan s", + "ĠV erm", + "Ġpro s", + "ĠRe port", + "Ġclass ification", + "ĠTe le", + "ĠSoc orro", + "ĠB ush", + "gr ade", + "Ġse ctions", + "Ġfranch ise", + "ĠCh ang", + "Ġphot ograph", + "ĠMarsh all", + "ĠLINE AR", + "Ġrepe ated", + "Ġsub stant", + "ĠGra ham", + "Ġcomb ination", + "Ġit ems", + "Ġf ly", + "Ġmeas ures", + "Ġdra wn", + "et a", + "Ġb udget", + "Ġdef ensive", + "ish ments", + "ĠB ud", + "Ġbro ken", + "Ġcon sequ", + "aly mp", + "att an", + "ĠColle ction", + "ĠA BC", + "omm od", + "i op", + "ĠD oc", + "Ġelect ronic", + "Ġbel ief", + "Ġdefe ating", + "Ġpre m", + "ok a", + "s ch", + "h u", + "Ġann iversary", + "ĠYou T", + "Ġunivers ities", + "Ġshoot ing", + "ĠG ary", + "ors es", + "Ġbene f", + "ĠSat urday", + "Ġex act", + "l ie", + "ĠJ azz", + "Ġphil osophy", + "ĠA qu", + "Ġtrans ition", + "ĠMad rid", + "ill o", + "Ġdesign s", + "t ic", + "ĠS yn", + "Ġimpr ison", + "ĠM ort", + "ĠCar ter", + "ĠCh and", + "Ġt ank", + "Ġjust ice", + "Ġstand ing", + "Ġearl iest", + "Ġgr ade", + "Ġsign al", + "ĠR u", + "ĠTax a", + "ĠPier re", + "d in", + "Ġh our", + "ĠIn s", + "ĠSec ret", + "Ġgood s", + "ĠPre fecture", + "Ġw orth", + "ĠS i", + "Ġmom ent", + "I s", + "om ing", + "Ġown ers", + "Ġl ists", + "Ġm ort", + "Ġcapt ure", + "Ġfe ed", + "ĠIran ian", + "Ġjud ges", + "el ess", + "Ġmed icine", + "Ġre jected", + "Ġcritic ized", + "Ġd ry", + "c ious", + "ĠV ic", + "ĠCar ib", + "ĠV ers", + "r m", + "ĠC ass", + "Ġfinal s", + "d ers", + "ĠL ane", + "apt ist", + "b ishop", + "ĠArt ists", + "Ġtri p", + "N e", + "atab ase", + "ĠR ap", + "Ġprov incial", + "Ġhum ans", + "ĠP C", + "Ġhtt p", + "Ġcharg ed", + "Ġ6 3", + "Ġneigh bour", + "Ġact ual", + "Ġdeliver ed", + "ĠI v", + "ak ed", + "r ons", + "Ġch ain", + "or er", + "het ic", + "H e", + "Ġactiv ist", + "b ridge", + "ut ation", + "Ġd ie", + "ĠY orks", + "Ġpur poses", + "E E", + "Ġbott om", + "Ġ( ).", + "Ġrele g", + "ĠDef ence", + "G A", + "Ġpar allel", + "M an", + "w all", + "Ġpre mi", + "Ġgr ant", + "Ġ189 6", + "Ġinter pret", + "Ġcan cell", + "Ġter ror", + "ĠAg ain", + "oc a", + "Gen eral", + "Ġsk ills", + "Ġshow ing", + "ĠD aily", + "P C", + "Ġst ores", + "Ġreg ularly", + "ĠTh us", + "Ġv eter", + "c oh", + "b at", + "p at", + "ĠLe ad", + "abl ed", + "i ac", + "ĠMov ement", + "Ġs ell", + "ĠPar alymp", + "ĠJohn ny", + "hib ition", + "Ġprison ers", + "Ġmed ium", + "ant ly", + "ce ived", + "ĠA ld", + "if er", + "ot es", + "Ġg ets", + "be an", + "Ġse ems", + "Ġis ol", + "ĠS ax", + "ĠJ ason", + "Ġqual ifying", + "et on", + "T S", + "ĠCat hedral", + "ĠT ot", + "Ġven ues", + "t own", + "Ġc ourses", + "Ġgreat est", + "ol ar", + "ĠG or", + "Ġoppos ite", + "Ġro utes", + "ĠN ad", + "Ġn aval", + "Ġbusiness es", + "ĠCy cl", + "ĠW ing", + "Ġpubl ishing", + "Ġdesign er", + "ĠMedal ists", + "F M", + "Ġ189 7", + "Ġvict ims", + "ĠBen j", + "it able", + "ol ly", + "ĠGu y", + "ĠSt ra", + "Ġpurch ase", + "Ġhabit at", + "Ġsouth west", + "Ġa ware", + "Ġsub urb", + "ĠW oman", + "h t", + "ĠNaz i", + "Ġlegisl ation", + "ĠOrgan ization", + "al ia", + "w right", + "iel der", + "ĠLank a", + "Ġtri es", + "over ty", + "iter ranean", + "Ġ189 5", + "199 1", + "l s", + "Ġstri p", + "Ġpers ons", + "I nd", + "ĠEgypt ian", + "ĠAddition ally", + "Ġfact ors", + "ĠYorks hire", + "Ġresident ial", + "ou ver", + "Ġe gg", + "Ġjournal ists", + "E S", + "Ġ5 6", + "le ased", + "ast ery", + "ĠN BA", + "Ġin sc", + "op eration", + "Ġd ies", + "ĠH ig", + "Ġfre edom", + "Ġb oys", + "Ġmet ers", + "Ġm ile", + "Ġh its", + "Ġstand s", + "ĠAp pe", + "Ġg ender", + "d r", + "Ġscient ists", + "P ro", + "y ll", + "Ġmin ute", + "mer ce", + "ĠA R", + "Ġw ounded", + "x ual", + "Ġbusiness man", + "Ġhe at", + "Ġadm itted", + "r ong", + "Ġr ivers", + "Ġt ack", + "Ġadvant age", + "ĠT ob", + "ace ae", + "ol ia", + "Ġ5 3", + "Ġexam ples", + "ĠBe g", + "ĠM ack", + "Ġatt ached", + "ĠNiger ia", + "Ġarran ged", + "t ure", + "Ġkn ock", + "am ents", + "ĠR ico", + "le ans", + "ĠWind ows", + "Ġt ur", + "ĠAuthor ity", + "Ġdr iving", + "Ġm emorial", + "Ġh ill", + "ĠK um", + "Ġc risis", + "Ġal leg", + "h ai", + "ĠCap ital", + "Ġdev ice", + "Ġmot ion", + "ĠCo ok", + "Ġcy cle", + "' re", + "ĠSer ge", + "res ents", + "ĠWeb site", + "ip h", + "Ġdesc ription", + "ĠLiter ature", + "ĠTro phy", + "ĠF ull", + "Ġcost s", + "ĠI an", + "ĠGh ana", + "f iction", + "Ġcommun ication", + "Ġacc ommod", + "Ġst ages", + "um in", + "N C", + "Ġstre ets", + "Ġsy nd", + "ĠM oths", + "ĠGu ide", + "Ġs ave", + "Ġwh y", + "ĠEv ans", + "ĠPar ish", + "Ġeas ily", + "Ġro b", + "or ce", + "O C", + "Ġsequ ence", + "Ġcred ited", + "v ant", + "end ment", + "ĠGr ay", + "ĠH as", + "Ġs uff", + "Ġcl imb", + "Ġd uty", + "ĠGr ade", + "as ure", + "Ġsub mar", + "Ġdec ade", + "l ow", + "Ġm ine", + "Ġr ich", + "Ġrest rict", + "Ġdeterm ine", + "Ġfa ith", + "as i", + "198 0", + "se a", + "Ġstar red", + "Ġro oms", + "ĠDer by", + "ĠS r", + "Ġcomm une", + "M P", + "- -", + "ĠElect ric", + "Ġk id", + "Ġcour ts", + "ĠEle mentary", + "Ġprote cted", + "ĠNot e", + "Ġg ang", + "Ġtyp ical", + "ia h", + "ĠH um", + "Ġmembers hip", + "ot hes", + "Ġren ew", + "ĠRich mond", + "Ġf er", + "Ġpain ted", + "a uty", + "Ġdem and", + "Ġcom ed", + "ĠGlas gow", + "ay ed", + "rap y", + "Ġs ki", + "ĠOr leans", + "Ġmy th", + "ĠU g", + "Ġass umed", + "Ġret ained", + "Ġa f", + "ĠCon vention", + "ĠMed iterranean", + "e enth", + "Ġb ond", + "Ġrun ner", + "ie ce", + "Ġh unt", + "Ġcirc um", + "b ul", + "Ġre action", + "Ġassist ance", + "Ġthe ater", + "ĠPrim ary", + "Ġoper ates", + "pro fit", + "Ġrest ored", + "ĠJ ama", + "ĠE ug", + "r ant", + "Ġaccompan ied", + "Ġnick n", + "ĠL ad", + "m und", + "Ġmin ing", + "Ġinvest ment", + "ĠF oot", + "Ġp ool", + "oh n", + "ĠJud ge", + "ĠMil an", + "Ġoff ensive", + "ch o", + "Ġte en", + "Ġf an", + "ĠM ond", + "ĠS S", + "ĠM ap", + "op al", + "ĠBor ough", + "Ġc ited", + "ĠUr ban", + "ĠBar ry", + "ĠCrit ical", + "ĠT u", + "Ġfl o", + "ann els", + "Ġvide os", + "Y ou", + "s er", + "ĠPublic ations", + "m ith", + "ĠConf eder", + "c ussion", + "ĠDisc ography", + "ĠFle et", + "ĠChall enge", + "ĠHind u", + "ĠSpec ies", + "ĠF ather", + "ĠC her", + "il st", + "198 9", + "Ġcon text", + "a ired", + "Ġ5 7", + "ĠMu ham", + "ter y", + "Ġp ian", + "Ġrep resents", + "Ġse ed", + "Ġut il", + "ĠTig ers", + "ĠP av", + "c op", + "Ġf est", + "ĠSal v", + "ĠWay ne", + "Ġb rain", + "Ġnot ably", + "Ġexecut ed", + "Ġhead ed", + "ĠBroad way", + "Ġf ra", + "Ġd oll", + "R S", + "ĠW W", + "ĠK ath", + "ran g", + "ick et", + "ĠThe ater", + "ĠFran ces", + "C D", + "cycl op", + "Ġexperien ced", + "Ġc ous", + "on ian", + "Ġret ail", + "ac c", + "Ġnewsp apers", + "Ġadv is", + "Ġb ed", + "d oor", + "Ġf ired", + "ĠAnd y", + "Ġst ood", + "ĠM i", + "iv ated", + "ĠAct ress", + "Ġ189 3", + "ĠPict ures", + "Ġchall enge", + "Ġman uscript", + "Ġpolic ies", + "Ġpr ime", + "Ġgr ass", + "Ġ6 2", + "Ġs ed", + "is hers", + "ĠH old", + "ĠSele cted", + "Ġcolle ctions", + "Ġd ating", + "re c", + "Ġ186 0", + "ĠPrad esh", + "Ġc aught", + "ak u", + "Ġreturn s", + "or row", + "Ġsepar ated", + "o i", + "Ġlook ing", + "edd ing", + "ĠF ace", + "Ġcar rying", + "Ġin fl", + "Ġj ump", + "th a", + "ĠV as", + "Ġher itage", + "Ġdou b", + "Ġcon qu", + "i ation", + "ĠB aker", + "Ġra cial", + "I P", + "k ov", + "c ular", + "in ter", + "Ġs elling", + "ĠPolit ics", + "Ġt ail", + "Ġform ally", + "g ie", + "ĠPh oen", + "Ġconcern s", + "ĠR ena", + "Ġb ran", + "Ġr hy", + "ĠWar ren", + "ĠCent ury", + "ĠN ever", + "Ġuns uccess", + "ows ki", + "Ġw ings", + "ot an", + "ĠF rid", + "ĠH it", + "Ġstop ped", + "Ġass ault", + "P h", + "ĠYouT ube", + "ĠP il", + "Ġele ctoral", + "ĠFl ore", + "ĠV el", + "ĠBl ues", + "ĠM ong", + "uk a", + "ĠPer u", + "ac on", + "Ġ189 4", + "c hers", + "Ġ188 9", + "ĠB rist", + "ĠL ov", + "Ġkil omet", + "ĠD J", + "ĠGab ri", + "ĠN at", + "ĠSe ven", + "ra ge", + "Ġde st", + "Ġn or", + "ĠMit chell", + "R e", + "ĠCharl ie", + "ĠJ osh", + "ul u", + "Ġf iled", + "ec ution", + "ĠF act", + "ĠDel hi", + "ie ge", + "ĠBenj amin", + "Ġrestaur ant", + "y les", + "att ers", + "Ġd uties", + "ras ka", + "Ġast ron", + "ĠRang ers", + "Ġcar bon", + "ro c", + "Ġ189 2", + "Ġe ye", + "ĠA er", + "ind ing", + "Ġun iform", + "ĠM other", + "ĠMon te", + "Ġv aria", + "Ġatt ract", + "ĠSlov ak", + "Ġinstr uments", + "Ġt all", + "Ġmag azines", + "lo ad", + "amp s", + "Ġend emic", + "op les", + "is d", + "ĠA S", + "ĠR al", + "ĠLim ited", + "it ime", + "ĠR av", + "ĠC art", + "Ġsom ew", + "Ġsignificant ly", + "ĠL anguage", + "Ġin her", + "ĠM ans", + "ĠG un", + "ok ed", + "ĠC ase", + "ĠMan h", + "ĠPol y", + "ten ance", + "anc ouver", + "Ġshe l", + "j ab", + "Ġguitar ist", + "Ġcoast al", + "Ġadapt ation", + "Ġlin k", + "Ġnot hing", + "Ġcolle ges", + "Ġsever e", + "ĠB und", + "ĠB enn", + "Ġarr ival", + "ĠQu arter", + "ĠM all", + "ĠN orm", + "ĠComp anies", + "ĠM ess", + "Ġdemon str", + "orn e", + "Ġth ick", + "m aster", + "Ġpre ced", + "Ġcritic ism", + "Ġleg end", + "ĠR ic", + "ĠHawai i", + "Ġtest ing", + "p age", + "Ġdeg rees", + "ĠNov a", + "ĠNev ada", + "ĠGu inea", + "ĠColomb ia", + "Ġown ership", + "Ġwind ows", + "ĠTown s", + "forman ce", + "ar an", + "aw ay", + "Ġb at", + "ĠNep al", + "Ġexpress ion", + "H S", + "igg est", + "Ġequ ivalent", + "Ġrom antic", + "Ġb rick", + "Ġrespons ibility", + "Ġbring ing", + "or iginal", + "Ġob l", + "eg et", + "Ġin stitution", + "Ġexpl os", + "ĠN ation", + "ut ions", + "Ġ1 20", + "Ġcol our", + "ĠB urg", + "ĠCon n", + "Ġus er", + "ĠVo iv", + "le ton", + "h ab", + "ĠZ e", + "ĠAnd r", + "as hed", + "Ġmed als", + "ok er", + "ĠAlbert a", + "ĠNeb raska", + "Ġchampionship s", + "ĠM ak", + "Ġinc orpor", + "ĠB achelor", + "Ġorgan isation", + "Ġpo ets", + "id ency", + "Ġd aughters", + "Ġdep end", + "l ock", + "ĠWar ner", + "Ġpract ices", + "Ġfl ower", + "c ount", + "gress ive", + "usal em", + "N o", + "Ġlearn ed", + "ph an", + "Ġpo em", + "Ġfl owers", + "Ġsuccess or", + "he me", + "Ġco ordin", + "Ġother wise", + "ĠBarb ara", + "ĠSc hed", + "Ġmunicipal ities", + "ĠV lad", + "Ġ188 5", + "is ations", + "Ġvess els", + "Ġst orage", + "Ġsugg ests", + "ĠStand ard", + "ĠBuff alo", + "Ġin du", + "ĠPhilipp ine", + "ĠG rad", + "Ġfilm ed", + "ĠWeek ly", + "Ġunder standing", + "ph one", + "ship s", + "wh o", + "ast rop", + "ĠAl t", + "Ġreplace ment", + "ĠJ enn", + "Ġ189 1", + "bre ak", + "ĠCarib bean", + "ĠMin or", + "ĠHun ter", + "Ġh ur", + "o om", + "Ġwind ow", + "Ġcol span", + "odes hip", + "ĠT ower", + "Ġfact or", + "Ġch ance", + "ater n", + "ĠY e", + "i ya", + "p ower", + "Ġp hen", + "arm a", + "Ġw ave", + "ĠSpe ed", + "Ġlin ked", + "Ġcrow d", + "O N", + "il k", + "ĠF itz", + "ĠMuham mad", + "ĠU nt", + "Ġacc ur", + "Ġturn s", + "st ances", + "Ġmed ieval", + "Ġcross ing", + "ĠAl aska", + "ĠJon athan", + "le m", + "Ġprep ared", + "x ts", + "Ġclass ified", + "Ġrece pt", + "Ġdis appe", + "Ġcover age", + "D S", + "ĠP ant", + "ĠW ang", + "u y", + "Ġdif ference", + "Ġdi agn", + "ĠF ine", + "Ġpeak ed", + "M E", + "Ġhost s", + "elle ct", + "en ia", + "Ġcomm emor", + "st ad", + "Ġnomin ation", + "Ġsound track", + "Ġinter ested", + "Ġb anks", + "og le", + "n ik", + "ĠGre ater", + "Ġf rag", + "ĠJ ess", + "Ġ7 6", + "Ġauth ors", + "Ġoccup ation", + "ĠRe lease", + "Ġrec ip", + "rupt ion", + "ĠSt ars", + "ĠV ancouver", + "Ġt ied", + "Ġmon ument", + "ĠVictor ian", + "ĠCharl otte", + "av an", + "Ġdev ices", + "Ġm outh", + "ch ang", + "Ġdid n", + "ĠTechn ical", + "198 8", + "Ġartist ic", + "f are", + "ĠAp ple", + "ĠK os", + "ĠP A", + "Ġv eget", + "Ġf ictional", + "ĠL ate", + "Ġweek ly", + "ĠBeng al", + "ien cy", + "ĠProt est", + "ĠS aints", + "ĠUn it", + "ĠCon stant", + "ĠT ang", + "ĠRec ipients", + "ĠAm az", + "Ġinv ent", + "Ġthe ore", + "ĠA P", + "Ġcover ing", + "Ġens ure", + "Ġd anc", + "Ġm obile", + "ĠS um", + "Ġrec ru", + "Ġte achers", + "Ġland ing", + "Ġdesc end", + "Ġun us", + "Ġsubject s", + "ĠBl ood", + "ĠT ag", + "ĠH ud", + "ark ed", + "Ġ| }", + "ict ions", + "ant ine", + "Ġag encies", + "ĠAss istant", + "Ġfl ows", + "Ġparliament ary", + "Ġb iggest", + "anc ell", + "Ġchild hood", + "Ġ6 1", + "Ġass ass", + "ĠVoiv odeship", + "ĠAl ger", + "en burg", + "ar on", + "Ġas pects", + "ens es", + "ĠL uther", + "ĠHe b", + "ri x", + "ĠNich olas", + "ĠClass ic", + "Ġ ign", + "ĠDef unct", + "ĠChart s", + "ĠL ore", + "ot ype", + "ĠAl ice", + "ĠSt re", + "ĠOn line", + "198 7", + "Ġart illery", + "ik o", + "A m", + "Ġs un", + "ĠP le", + "Ġc old", + "ĠFil ip", + "ourn als", + "Ġp od", + "ric ane", + "Ġexper t", + "er ia", + "Ġde pos", + "Ġstr uck", + "ĠC hel", + "Ġsquad ron", + "m osp", + "iv ia", + "Ġmanufact uring", + "ĠInd ians", + "ĠF ab", + "ĠSte el", + "ĠP ast", + "ĠEx per", + "Ġcount ies", + "ĠUl t", + "Ġpopular ity", + "ou stic", + "an im", + "Ġ188 8", + "Ġminist ers", + "ĠGri ff", + "g ov", + "Ġstay ed", + "Ġv ary", + "ĠDist ribution", + "ĠBrist ol", + "ess ions", + "oc ol", + "Ġc up", + "iv an", + "ĠLu is", + "ĠS umm", + "Ġhistor ians", + "ĠO range", + "Ġelim inated", + "Ġforest s", + "Ġs ort", + "force ment", + "Ġass embly", + "E ng", + "ĠF ish", + "Ġd og", + "f olk", + "f ers", + "id ad", + "ĠFac ulty", + "j u", + "Ġappro pri", + "ounc ill", + "ĠC ode", + "ĠS id", + "ĠAfghan istan", + "Ġclass ic", + "ur u", + "ĠP in", + "Ġro se", + "Ġp apers", + "old s", + "Ġre ferences", + "ue z", + "ĠSt orm", + "Ġdisestabl ished", + "Ġgen e", + "sh aped", + "Ġaccom pl", + "in ations", + "ĠJer usalem", + "Ġeven ing", + "Ġlocomot ives", + "Ġd ated", + "Ġele ment", + "ĠPark er", + "ĠMor oc", + "ĠD NA", + "il ia", + "Ġhead s", + "Ġpict ure", + "ĠT ol", + "ĠAp pl", + "Ġsc heme", + "ĠC inc", + "h us", + "Ġm anga", + "oth y", + "og a", + "M C", + "Ġd im", + "b el", + "Ġch annels", + "Ġinf rastructure", + "ĠAdm iral", + "ĠM ind", + "Ġ5 8", + "ĠSm all", + "Ġl es", + "Ġche ck", + "Ġf ram", + "Ġrequire ments", + "Ġgradu ating", + "Ġ id", + "Ġf alls", + "ĠS R", + "Ġor chestra", + "Ġappoint ment", + "ĠMean while", + "ĠK ap", + "h and", + "ĠU nd", + "Ġ vert", + "ĠSa udi", + "ĠM aced", + "Ġt ie", + "st ory", + "ĠN i", + "Ġsynt hes", + "ann er", + "ush ing", + "Ġag greg", + "Ġaff airs", + "Ġpen alty", + "Ġprocess es", + "Ġwithd raw", + "Ġwhe el", + "ĠS ide", + "ĠSo ft", + "ĠOl iver", + "ĠCont emporary", + "ra ce", + "ov en", + "ĠE sp", + "Ġcondu ct", + "Ġsign ing", + "Ġn ations", + "Ġb it", + "app ing", + "ĠR AF", + "Ġ188 7", + "Ġf ixed", + "ĠA round", + "ĠKn ights", + "ĠIn it", + "ĠE vent", + "m m", + "Ġ186 5", + "Ġsent enced", + "Ġround s", + "Ġl ieutenant", + "Ġt ask", + "Ġdif ferences", + "Ġaud io", + "Ġconv icted", + "Ġs now", + "Ġre nt", + "kn ow", + "ĠA ction", + "Ġp overty", + "c ons", + "Ġr ates", + "ĠKn ow", + "ĠCl are", + "ur ers", + "Ġcomm it", + "ĠPr incip", + "Ġnomin ations", + "Ġr u", + "Ġthous ands", + "Ġst ret", + "ĠAnt i", + "Ġrepl acing", + "ĠK un", + "c ard", + "ĠSh a", + "rib ed", + "is ition", + "ĠB ron", + "Ġopin ion", + "ĠManh attan", + "Ġappear ing", + "Ġexped ition", + "Ġl iqu", + "ĠN ature", + "Ġpl ane", + "ĠS oul", + "Ġchap ter", + "claim ed", + "Ġquest ions", + "i ary", + "ĠS ultan", + "198 6", + "ij ing", + "w ig", + "ĠHis pan", + "ĠArt illery", + "Ġmov ements", + "ĠB ert", + "Ġenc ounter", + "cast le", + "Ġev olution", + "Ġextrem ely", + "Ġj ourney", + "Ġm ental", + "ĠTr inity", + "ĠFre edom", + "ĠH em", + "Ġsur re", + "Ġso il", + "Ġm ac", + "i ors", + "f ish", + "ar is", + "Ġlim it", + "b oy", + "Ġmon arch", + "Ġportray ed", + "Ġind igenous", + "ĠY am", + "Ġrel ative", + "p ent", + "u is", + "Ġadd ing", + "Ġemer gency", + "ĠCroat ian", + "ĠP age", + "ĠMod el", + "ĠDi ocese", + "ele cted", + "Ġl ov", + "f eld", + "Ġindic ate", + "ĠCont rol", + "Ġs ax", + "Ġtem porary", + "press ion", + "ĠTra il", + "Ġwood en", + "Ġnot e", + "ĠIs a", + "al is", + "ĠPl ant", + "le ment", + "Ġpl ate", + "in os", + "Ġwe ak", + "ach t", + "ĠKir k", + "Ġcap able", + "ĠBar cel", + "Ġstr ategy", + "in ces", + "198 5", + "ĠF alls", + "Ġme ets", + "Ġterrit ories", + "ĠSh ang", + "kee per", + "Ġ186 4", + "Ġtechn ique", + "ĠEduc ational", + "ĠMar s", + "Ġsu icide", + "Ġphot ography", + "Ġoffer ing", + "ĠY u", + "ĠAd ela", + "Ġw or", + "Ġ188 6", + "ĠF eat", + "ĠHarris on", + "b ut", + "ĠPo et", + "ĠB ranch", + "oph one", + "Ġh ip", + "ist ani", + "Ġsubs idi", + "Ġdef ence", + "ĠK o", + "Ġag o", + "us c", + "ĠP ay", + "ĠTerrit ory", + "Ġam ateur", + "Ġmount ains", + "he red", + "m aker", + "uss ian", + "ĠRe f", + "Ġvol umes", + "Ġloss es", + "Ġking dom", + "Ġel der", + "Ġsusp ended", + "Ġv ision", + "ĠSh ip", + "ĠCh ron", + "ĠD raw", + "er k", + "ĠM L", + "ĠZ one", + "h ost", + "Ġactiv ists", + "Ġhor ror", + "ĠSocial ist", + "ro v", + "im ir", + "Ġrough ly", + "Ġo ption", + "ĠArmen ian", + "ĠEle ction", + "Ġl ap", + "E D", + "c are", + "ĠL ost", + "Ġc ards", + "ĠCost a", + "m ate", + "ĠColl ins", + "ĠGl en", + "Ġpo ems", + "cel and", + "Ġassoci ate", + "ĠT ib", + "ĠC BS", + "Ġbound ary", + "en berg", + "st ery", + "St ar", + "ĠL ag", + "Ġal coh", + "Ġcompet ing", + "ir ation", + "Ġpropos al", + "Ġden ied", + "ĠL is", + "ge on", + "Ġe yes", + "Ġrel ief", + "ĠPriv ate", + "ĠEd ition", + "Ġ186 1", + "ĠPhoen ix", + "ĠT as", + "inn ati", + "ĠVin cent", + "ĠF isher", + "ab a", + "197 0", + "udd en", + "aj a", + "ra ck", + "ĠS outheast", + "198 4", + "Ġc atch", + "ĠTurn er", + "ĠR ank", + "u art", + "Ġ6 6", + "ĠGian ts", + "ew ork", + "ag g", + "Ġappe al", + "ĠC A", + "uck land", + "Ġcompon ents", + "ĠB aptist", + "ist ical", + "Ġrec re", + "ĠE U", + "ĠFilm ography", + "ĠCub a", + "ic on", + "ĠC ities", + "ĠUnivers al", + "Ġev al", + "ĠEs s", + "Ġfind ing", + "Ġ18 50", + "Ġ186 3", + "ĠB ible", + "ĠM A", + "ud es", + "ĠC ond", + "ac re", + "Ġcred it", + "ĠAzerbai jan", + "Ġim ag", + "ĠArchite cture", + "Ġf oss", + "Ġh ang", + "ĠS ah", + "ĠSp irit", + "Ġf ruit", + "Ġper cussion", + "Ġf al", + "te enth", + "ĠF ell", + "g ate", + "Ġpl us", + "Ġbran ches", + "Ġmess age", + "Ġexper iences", + "Ġthreat ened", + "ĠOriginal ly", + "Ġceleb rated", + "Ġass ign", + "ĠH ouses", + "Ġent ering", + "com mun", + "ĠF if", + "Ġexpl ained", + "ĠCommission er", + "ĠAnt ar", + "Ġentertain ment", + "ĠFl ight", + "ĠR at", + "ĠP ow", + "ĠSym phony", + "ĠIndust rial", + "Ġe ighth", + "Ġinvol vement", + "ĠPopul ation", + "at ar", + "ett a", + "Ġdou bles", + "an ne", + "ĠN E", + "Ġc m", + "ĠComp uter", + "Ġdem olished", + "ĠOver all", + "ĠPun jab", + "Ġdecl ined", + "Ġlic ense", + "Ġun f", + "Ġf ishing", + "l ater", + "m el", + "ĠS ite", + "Ġjur isd", + "ĠProf ile", + "Ġm oth", + "Ġdeb ate", + "Ġthe at", + "ĠRet urn", + "m od", + "Ġint ent", + "Ġswim ming", + "ĠAn cient", + "Ġhelp ing", + "Ġsp r", + "Ġaccount s", + "Ġ186 2", + "f ielder", + "ier ra", + "ĠS ad", + "Ġcous in", + "Ġconserv ation", + "ĠArt ist", + "ry pt", + "Ġg ather", + "Ġachie ve", + "b ane", + "il arly", + "ĠCra ig", + "os ph", + "Ġsup posed", + "us ing", + "ĠN BC", + "C on", + "ĠHer bert", + "Ġre nd", + "ty pe", + "Ġcontrovers y", + "Ġ188 4", + "ig o", + "ĠCommun ications", + "Ġra ise", + "ĠJer ry", + "Ġd ress", + "v ision", + "Ġst ring", + "ĠB ass", + "ĠG rey", + "Ġm ob", + "ot ton", + "Ġform ing", + "ĠCinc innati", + "is in", + "Ġinflu ential", + "ĠBarcel ona", + "st ers", + "D F", + "Ġcal cul", + "Ġex cell", + "ĠAl ong", + "Ġw arm", + "Ġstud ying", + "ĠJ oy", + "h ill", + "Ġmiss ions", + "Ġs olution", + "Ġf illed", + "ster dam", + "od ge", + "Ġprom pt", + "s a", + "ĠAdela ide", + "Ġaff ect", + "ĠH amb", + "w here", + "iss ue", + "re pre", + "ĠB ath", + "as p", + "Ġb en", + "Ġind icated", + "Ġ5 9", + "oy al", + "je ction", + "ĠL ions", + "Ġv ar", + "ĠA uckland", + "Ġlaw yers", + "hol m", + "ĠTh or", + "Ġrequ ires", + "M I", + "ĠC old", + "ĠH erman", + "ĠC ou", + "repre ne", + "198 3", + "ĠMun ich", + "Ġdra g", + "ĠSt art", + "ĠL P", + "ĠA viation", + "verse as", + "Ġarchitect ural", + ". :", + "A ll", + "ĠD og", + "hel m", + "ĠC S", + "g un", + "ĠH ugh", + "ag ar", + "Ġspirit ual", + "ĠShe l", + "ĠJ a", + "Ġcr ash", + "ĠC ob", + "Ġinj uries", + "Ġw restling", + "Ġparticip ation", + "Ġper haps", + "ĠWinn ers", + "ĠCan al", + "en cer", + "am pton", + "Ġor ient", + "Ġj ournals", + "ar ks", + "id o", + "ĠCroat ia", + "e or", + "ĠS z", + "ĠG oth", + "Ġprofess ion", + "ign ated", + "Ġsec ure", + "let t", + "ĠMag n", + "Ġvot ing", + "re hens", + "x i", + "ĠHe avy", + "ar at", + "and al", + "Ġ188 1", + "Ġp itch", + "m o", + "ĠD raft", + "ĠG round", + "ĠK ur", + "Ġd owntown", + "oc ation", + "ament al", + "Ġvess el", + "? \"", + "Ġcam era", + "ĠAngl ican", + "Ġrank ing", + "Ġinst ance", + "ĠCl ay", + "Ġ7 2", + "ĠB es", + "Ġcr imes", + "Ġsurround ed", + "Ġfr ame", + "Ġman ner", + "Ġc rop", + "Ġsh ut", + "ĠCr ime", + "ĠEx pl", + "Ġappro val", + "ĠBroadcast ing", + "ah o", + "ĠH av", + "Ġland scape", + "rib ute", + "ames e", + "ĠC ad", + "ot yp", + "Ġexist ed", + "Ġmark ets", + "Ġ6 7", + "ĠGon z", + "Ġperson ality", + "M L", + "ĠR ing", + "Ġbatt les", + "ĠS che", + "Ġ rif", + "ĠConserv ation", + "ah a", + "ĠH ann", + "Ġdep th", + "Ġele ven", + "e ed", + "ĠBe ijing", + "y t", + "Ġrepresent ation", + "inent al", + "ig ible", + "d est", + "Ġper fect", + "Ġse gment", + "Ġprot ests", + "ĠLl oyd", + "Ġsold ier", + "ĠY ang", + "Ġcor rect", + "r ub", + "ĠS ig", + "ĠS now", + "so ft", + "Ġm ir", + "ĠI celand", + "ĠB our", + "Ġann ually", + "Ġt ribut", + "f ly", + "Ġcomplet ion", + "at ically", + "Ġdon ated", + "ĠPer formance", + "ĠSystem s", + "ĠM asters", + "ĠArch ae", + "ont in", + "Ġl ob", + "Ġv ic", + "ĠTer ry", + "ab ilities", + "om on", + "Ġout put", + "Ġser ial", + "ĠB ris", + "ĠMont ana", + "ellect ual", + "ĠF inals", + "Ġex ternal", + "Ġthem es", + "Ġd ub", + "ĠBe h", + "born e", + "Ġnet works", + "Ġth in", + "Ġ8 5", + "Ġsk in", + "ia ble", + "ĠKe ith", + "Ġrepresent atives", + "ĠP el", + "p ine", + "ĠP ack", + "Ġmod ified", + "ĠY ale", + "Ġinf antry", + "p read", + "ĠArab ic", + "Ġcab inet", + "Ġf ear", + "Ġc ool", + "ĠB att", + "ul i", + "Ġsurv iving", + "iss ions", + "ĠIndust ry", + "ĠG ay", + "ĠF am", + "Ġconc rete", + "ĠP ont", + "if ican", + "iz ations", + "Ġpubl isher", + "Ġw ides", + "Ġb on", + "ĠWith in", + "ĠV I", + "ĠPol icy", + "ine e", + "Ġequip ped", + "Ġvis itors", + "ic ial", + "N S", + "ĠTy pe", + "ĠSh aw", + "ĠSte vens", + "iv ation", + "Ġhon ors", + "O M", + "197 9", + "ĠLar ry", + "Ġre act", + "oun ced", + "ĠThe od", + "amp a", + "E P", + "ĠMer c", + "Ġcirc uit", + "ĠC atherine", + "Ġn av", + "ĠEth iop", + "Ġlast ed", + "ĠM ig", + "ifican ce", + "Ġstrong ly", + "Ġgen re", + "ĠBulg arian", + "h um", + "ĠA ber", + "Ġyoung est", + "Ġre un", + "ĠG olf", + "Ġto ols", + "s is", + "Ġ188 2", + "Ġincreasing ly", + "ĠW es", + "ĠVenezuel a", + "ĠSe b", + "Ġdra f", + "ĠH ad", + "Ġd ream", + "ĠB uch", + "Ġk g", + "m ath", + "il ty", + "Ġcon gress", + "ĠRepresent ative", + "Ġtrib e", + "ĠInd ividual", + "Ġcolle ct", + "p p", + "ĠM ason", + "ĠForm ula", + "Ġd iam", + "ĠHen ri", + "Ġcent ers", + "Ġmart ial", + "Ġhapp ened", + "Ġsh ares", + "Ġille gal", + "Ġrep utation", + "ĠF uture", + "% ,", + "ĠG w", + "Ġadop t", + "ĠVeg as", + "Ġext ens", + "Ġrow span", + "Ġtransport ation", + "Ġabs or", + "ich i", + "Ġplatform s", + "ĠStat istics", + "ĠHud son", + "Ġpred e", + "Ġ9 5", + "ĠS A", + "Ġre pro", + "a uc", + "enn ial", + "ocrat ic", + "Ġvis iting", + "Ġs oul", + "ol in", + "Ġn one", + "ug s", + "i u", + "Ġpan el", + "ĠS alt", + "ĠAm sterdam", + "Ġb es", + "c alled", + "ĠP aint", + "bu ild", + "ĠS ask", + "ĠGo ogle", + "Ġne ut", + "cer ts", + "ro t", + "ĠLeg acy", + "us k", + "ag re", + "ĠEnvironment al", + "ke ley", + "oc al", + "Ġpr on", + "Ġmin imum", + "ĠB rew", + "Ġinn ings", + "Ġw ine", + "Ġhtt ps", + "t ical", + "oun sel", + "Ġplay offs", + "Ġdecl ine", + "ĠBulg aria", + "ĠBr un", + "ick ets", + "ĠG ust", + "ĠUn like", + "Ġs we", + "Ġatt orney", + "grad uate", + "ĠAtt orney", + "ĠSte ven", + "Ġa cted", + "ĠOr ig", + "ent e", + "Ġt ests", + "ĠMar vel", + "ĠNor folk", + "Ġdist inguished", + "b ound", + "Ġbelong ing", + "c z", + "ĠOper ations", + "Ġd ig", + "Ġpre gn", + "ac le", + "\" ;", + "ĠL an", + "osp itals", + "ĠB og", + "Ġsat isf", + "ash a", + "Ġcont ested", + "Ġcan n", + "Ġsurg ery", + "Ġt as", + "m ates", + "ĠBel arus", + "Ġsettle ments", + "ph al", + "d d", + "Ġbe ar", + "ĠM ix", + "od s", + "iz er", + "ing en", + "ĠM ann", + "ĠVerm ont", + "ĠT erm", + "Ġro ut", + "Ġatt ributed", + "se cts", + "Ġpreserv ed", + "el i", + "Ġto w", + "b us", + "w inning", + "Ġpost ed", + "ĠM az", + "or o", + "ig rated", + "Ġsc ope", + "Ġstat ue", + "Ġem igrants", + "ĠC ann", + "Ġsub t", + "Ġagric ulture", + "ast s", + "ĠTreat y", + "! \"", + "Ġan ch", + "ĠHar old", + "Ġelev ation", + "ĠN umber", + "Ġmerch ant", + "L P", + "ĠCamp aign", + "Ġmain tenance", + "Ġd rew", + "Ġbene fit", + "Don ald", + "itar ian", + "Ġcancell ed", + "Ġphil os", + "Ġrul ing", + "ĠD iamond", + "en os", + "ĠH orse", + "L a", + "ĠG ot", + "it is", + "ĠCur t", + "Ġcontin uing", + "Ġg olf", + "Ġag ents", + "ĠLu x", + "b rid", + "ĠRob in", + "ograp hers", + "Ġf ix", + "Ġdom ain", + "Ġbe ach", + "ĠL ie", + "198 2", + "z es", + "Ġcou ples", + "Ġdis pl", + "Ġsee k", + "Ġsub d", + "ĠS P", + "ĠC P", + "Ġhon our", + "Ġthir ty", + "Ġsched ule", + "ang erous", + "Ġc inema", + "Ġspok en", + "iction ary", + "ĠH ob", + "Ġinc idents", + "at che", + "Ġ6 8", + "B B", + "Ġkey boards", + "Ġex pect", + "Ġven ue", + "Ġf ighter", + "Ġrecomm ended", + "ĠSh in", + "b es", + "Ġdraw ing", + "' ve", + "Ġpopul ations", + "ĠD ays", + "Ġval id", + "ĠB right", + "ĠP ic", + "ul ations", + "ĠN S", + "ĠDeath s", + "Ġconsider able", + "Ġ1 000", + "Ġtre ated", + "ij i", + "ĠBy z", + "Ġmeet ings", + "Ġrele ases", + "t r", + "Ġparticip ants", + "Ġspe ak", + "ĠAn im", + "f ire", + "ra v", + "ĠBuddh ist", + "ĠDel aware", + "ĠDen ver", + "end ar", + "Ġform ations", + "A s", + "ub le", + "o j", + "Ġmod e", + "ĠSpr ings", + "Ġunder ground", + "Ġ187 6", + "ĠCommun es", + "ĠMan uel", + "ĠBos nia", + "Ġlong est", + "ĠB uc", + "Ġcoach ing", + "ĠM S", + "ĠManag er", + "ĠKen ya", + "Ġp ric", + "ro ck", + "Ġ188 3", + "Ġat mosp", + "Ġwides pread", + "Ġ25 0", + "ops is", + "arc hers", + "Ġan ime", + "Ġsat ellite", + "Ġsomew hat", + "ĠHel en", + "ch ild", + "ĠEn cyclop", + "Ġplan et", + "c at", + "ĠDrag on", + "D C", + "Ġfrequ ency", + "ĠF un", + "Ġchang ing", + "ĠN HL", + "Ġcharacter istics", + "Ġbir d", + "Ġfl ed", + "M ay", + "ĠIn v", + "Ġsu fficient", + "ĠErn est", + "ĠSy ria", + "ke ep", + "Ġres olution", + "Ġsh ore", + "Ġfest ivals", + "ĠBob by", + "Ġchap el", + "ĠP oll", + "Ġrelationship s", + "198 1", + "am ics", + "ĠT on", + "id en", + "Ġmod er", + "ĠCo al", + "Ġten ure", + "Ġpremi ere", + "ĠS ak", + "Ġgro wn", + "st own", + "Ġoccas ionally", + "Ġearth qu", + "Ġbo ats", + "g el", + "ĠM end", + "Ġf urn", + "ĠEd wards", + "Ġbl ocks", + "Ġg ay", + "ĠAt hens", + "ĠIndones ian", + "ult ane", + "Ġrese archers", + "Ġph one", + "ac o", + "Ġar c", + "Ġdepart ure", + "Ġreported ly", + "Ġex pos", + "onym ous", + "ĠPer ry", + "ĠRog ers", + "Ġill ness", + "b in", + "Ġjob s", + "ĠWar ri", + "ĠFrid ay", + "Ġac know", + "gi ate", + "Ġf ile", + "Ġany thing", + "Ġ187 8", + "Ġch amber", + "ust ed", + "Ġsaf e", + "ter ior", + "ia st", + "Ġinaug ural", + "Ġsp oke", + "ĠAd vis", + "ĠHol land", + "Ġhigh light", + "Ġgovern ments", + ". '", + "Ġpat rol", + "b ow", + "ĠS or", + "Ġindic ates", + "Ġab road", + "ĠL ion", + "ĠMah ar", + "Ġprin ted", + "C an", + "h igh", + "b ird", + "ĠTe ch", + "ĠHispan ic", + "ĠH ope", + "ĠT oy", + "Ġviol in", + "ur ring", + "ĠD ennis", + "Ġremain der", + "Ġcontrovers ial", + "ĠI C", + "ĠNiger ian", + "ĠEconom y", + "ĠClin ton", + "ĠG ang", + "ĠS ay", + "Ġinters ection", + "ĠK rist", + "ĠN y", + "ancell or", + "op es", + "ĠPed ro", + "Ġsur f", + "ĠPers ian", + "duc er", + "Ġt act", + "Ġtem por", + "Ġh a", + "Ġere cted", + "Ġwh ilst", + "ip er", + "ĠN an", + "Ġbu y", + "ĠAbb ey", + "Ġab use", + "ĠJeff erson", + "b ody", + "l iga", + "p ol", + "Ġw orship", + "ĠAng lo", + "Ġemploy ment", + "Ġph r", + "Ġh orses", + "Ġh uge", + "or p", + "ĠCirc uit", + "ĠW alt", + "o ons", + "Ġeffect ively", + "Ġoper ational", + "Ġattra cted", + "ĠK ay", + "ach i", + "ĠSw im", + "ĠBris bane", + "Ġs leep", + "ĠS ource", + "Ġt ell", + "ĠSt uart", + "ĠShort ly", + "Ġvis ible", + "Ġstand ings", + "ryst al", + "ĠHe in", + "ĠK ab", + "Ġ7 8", + "ĠRal ph", + "ĠR if", + "B M", + "] ,", + "Ġdu o", + "ew here", + "Ġrem ember", + "Ġ187 9", + "Ġsh ift", + "m usic", + "ĠG et", + "ĠPak istani", + "ĠO il", + "et ers", + "Ġdiscover y", + "Ġprede cess", + "por ter", + "Ġtravel ed", + "Ġw rong", + "ĠFin ance", + "al am", + "Ġprocess ing", + "ĠCh air", + "l ington", + "ition al", + "g om", + "Ġthous and", + "ĠS et", + "oc c", + "ĠMuslim s", + "Ġmuseum s", + "ra ham", + "ĠP att", + "au ge", + "Ġscient ist", + "Ġinstrument al", + "ur rent", + "ach ment", + "197 8", + "h l", + "Ġcom ics", + "Ġte ach", + "Ġsp aces", + "b acks", + "Ġst ress", + "Ġcont ribution", + "Ġunderst and", + "ing ly", + "Ġrest oration", + "ĠStan ford", + "Ġclaim ing", + "Ġannoun ce", + "Ġrecover ed", + "ĠFin ancial", + "ĠMag ic", + "ĠGra ce", + "Ġdef ending", + "Ġevery thing", + "Ġtrad ing", + "Ġmid field", + "E T", + "n ed", + "Ġresc ue", + "W A", + "Ġ urg", + "ĠW u", + "Ġreg ime", + "Ġn urs", + "Ġrel ocated", + "197 7", + "if ted", + "ĠTh ir", + "Ġsent ence", + "ĠPr inc", + "197 5", + "Ġbroadcast ing", + "G erman", + "k ar", + "elf are", + "Ġoccas ions", + "ip per", + "u its", + "ĠCl imate", + "Ġhe aring", + "ĠIn stead", + "Ġte xts", + "Ġ187 5", + "ĠL ock", + "ĠEag les", + "ĠAir lines", + "Ġunder t", + "ann i", + "Ġcas ual", + "ĠD ata", + "Ġemer ged", + "Ġa u", + "ur st", + "Ġsup ports", + "ĠAd v", + "Ġr ub", + "ĠT ogether", + "ĠJ ar", + "Ġfriend ly", + "f amily", + "m ina", + "ĠS oon", + "ĠBer keley", + "ĠPeters burg", + "Ġtrib es", + "port ed", + "ĠPen insula", + "Ġre pr", + "ot he", + "Ġabs ence", + "ail ing", + "ĠUr ugu", + "Ġwhere as", + "Ġmarket ing", + "ĠMad ison", + "ol ition", + "Ġexperiment al", + "ĠDemocrat s", + "as ia", + "Ġb id", + "Ġin ner", + "Ġcommand ed", + "Ġdiam eter", + "Ġsumm ary", + "ĠG ate", + "ĠTh ai", + "Ġaim ed", + "ĠPolit icians", + "ĠEpis ode", + "Ġcompet itive", + "Ġlicens ed", + "Ġvers us", + "Ġbeh alf", + "ĠP od", + "ĠC ert", + "ĠI T", + "Ġmiss ed", + "Ġ7 4", + "ĠG overn", + "ĠO sc", + "Ġ187 7", + "o an", + "Ġoppon ents", + "Ġ7 7", + "ro se", + "id al", + "H A", + "app y", + "ĠB av", + "ed a", + "ĠS ang", + "ic us", + "ĠR ight", + "c aster", + "Ġle af", + "Ġcricket er", + "un es", + "Ġmix ing", + "Ġaffili ated", + "ĠOtt awa", + "Ġqual ify", + "che st", + "ĠI b", + "Ġtourn aments", + "Ġcol ony", + "ĠSched ule", + "Ġ187 1", + "rag ue", + "ag s", + "ĠD est", + "qu arter", + "over y", + "Ġsupport ers", + "Ġdefend ers", + "ag i", + "Ġphys ician", + "ĠLe eds", + "Ġrebu ilt", + "197 4", + "ah l", + "ĠN ear", + "Ġcre ative", + "s pec", + "Ġdrug s", + "ul um", + "ĠBut ler", + "Ġsuppl ies", + "B e", + "Ġkn ew", + "Ġpro port", + "re ck", + "gor ith", + "Ġbe et", + "Ġb acter", + "ĠP ul", + "N T", + "ĠV e", + "Ġs end", + "former ly", + "Ġmon itor", + "ĠC ant", + "ĠCh a", + "um i", + "Ġpred omin", + "as m", + "ĠH ond", + "ĠVi ew", + "ĠK in", + "Ġmass ive", + "Ġcred its", + "Ġt orn", + "Ġ186 7", + "ath on", + "Ġed itions", + "Ġperiod s", + "o ard", + "Ġgall ery", + "Ġwrit es", + "ĠS oph", + "Ġb ridges", + "Ġm ines", + "ĠArch bishop", + "Ġgrand father", + "ne e", + "cl osed", + "ĠChe ster", + "ĠB ald", + "n an", + "Ġdep ending", + "Ġcat alog", + "ĠP ut", + "ĠDe ep", + "Ġse es", + "Ġrat io", + "ĠProdu ctions", + "ĠGerman s", + "medi ate", + "Ġf il", + "up s", + "Ġsw itch", + "Ġv e", + "Ġp seud", + "Ġ187 2", + "anth rop", + "ĠMal ay", + "c ut", + "Ġcharacter ized", + "ig s", + "eral a", + "Ġimmedi ate", + "Ġsuffer ing", + "k an", + "el ia", + "th lete", + "Ġ1 10", + "if ies", + "ĠNe xt", + "Ġf ur", + "Ġ187 4", + "f oot", + "it ure", + "Ġs udden", + "ĠC row", + "ĠAl tern", + "Ġsil ent", + "Ġfac ing", + "ĠEx change", + "ĠMov ie", + "197 6", + "Ġdescrib e", + "ĠMur phy", + "os hi", + "il is", + "Ġtra il", + "Ġconcern ed", + "Ġdis band", + "ix on", + "Ġafter wards", + "ff bb", + "B O", + "ĠS uz", + "Ġturn ing", + "196 0", + "ĠS ierra", + "Ġtrans mission", + "ĠNe il", + "if fer", + "u ador", + "Ġdet ailed", + "ĠFlore nce", + "Ġc ul", + "ro ve", + "Ġcateg ories", + "hem atic", + "ĠChristian ity", + "s or", + "au kee", + "ĠN R", + "or ous", + "Ġorgan isations", + "ĠNew castle", + "Ġarrang ement", + "Ġn inth", + "Ġhundred s", + "c f", + "Ġadvert ising", + "is ch", + "ĠWell ington", + "Ġh olid", + "ĠO cc", + "Ġconcent ration", + "ĠComm ons", + "Ġlegisl ative", + "u able", + "Ġpublic ly", + "Ġran ks", + "our se", + "qu ir", + "Ġpr inc", + "Ġ186 8", + "Ġrapid ly", + "Ġcon certs", + "unc redited", + "er ted", + "ow ed", + "Ġex ists", + "t rans", + "Ġpercent age", + "Ġ7 3", + "az e", + "ric ted", + "Ġ8 8", + "on ies", + "ĠC arn", + "ĠR af", + "ĠChrist ians", + "the less", + "ĠS ox", + "ĠM ath", + "W h", + "Ġcomment ed", + "M y", + "ĠPar ks", + "re leased", + ".. ..", + "ele ct", + "ĠM ol", + "Ġview ers", + "ĠSus an", + "enc ing", + "ĠEd die", + "ĠLe o", + "ĠHamb urg", + "Ġst yles", + "ĠAb u", + "Ġrecomm end", + "Ġad ults", + "Ġsign ificance", + "Ġcon st", + "min ute", + "194 5", + "Ġw at", + "Ġsign s", + "ew ay", + "ĠFriend s", + "Ġth ing", + "ĠGil bert", + "ĠUnt il", + "ĠInd ependence", + "Ġcon vention", + "ĠN A", + "ia o", + "Ġd ual", + "ĠHeb rew", + "Ġsp ending", + "ring ton", + "Ġ8 2", + "Ġins urance", + "ĠSecond ary", + "Ġunus ual", + "p any", + "Ġencoura ged", + "yl er", + "ĠRay mond", + "Ġw ants", + "onom ous", + "ĠWil helm", + "I L", + "ber ry", + "ff ield", + "Ġgrad ually", + "Ġ7 1", + "Ġident ify", + "ĠSer ie", + "ĠAgric ulture", + "Ġatt ending", + "Ġexc av", + "Ġ186 6", + "ĠWrit ing", + "ĠN ott", + "Ġbeg un", + "Ġ6 9", + "Ġf antasy", + "Ġwithd rew", + "Ġgreat ly", + "ĠJ in", + "Ġfac ilit", + "Ġl ibr", + "Ġle agues", + "Ġw el", + "Ġopportun ities", + "ĠN athan", + "ent i", + "em ed", + "ab el", + "ic he", + "O n", + "Ġsee king", + "ro id", + "at ra", + "ath y", + "ĠK erala", + "ran o", + "Ġdefin ition", + "p in", + "Ġapart ment", + "Ġvot ers", + "Ġelect ron", + "ĠCru z", + "Ġpar ks", + "Ġw ard", + "ĠEv ents", + "Ġhel ic", + "Ġ9 9", + "ĠRev ival", + "Ġrhy thm", + "Ġpal ace", + "ĠRel ations", + "it ual", + "ĠC elt", + "Ġpat ient", + "Ġbenef its", + "Ġ18 40", + "ĠSom ers", + "ĠScient ific", + "av i", + "ĠT ennis", + "ĠTun is", + "Ġh al", + "if inals", + "Ġpar am", + "Ġdisestabl ishments", + "Ġ6 00", + "Ġg ymn", + "ri en", + "ĠD in", + "cc a", + "ĠPh D", + "197 2", + "ris on", + "Ġorgan ised", + "Ġg one", + "Ġcorpor ate", + "Ġmake up", + "h n", + "iven ess", + "ir k", + "l ik", + "Ġsculpt ure", + "ĠArn old", + "ĠDoc ument", + "ĠSt ef", + "Ġres emb", + "ĠR ah", + "ĠCong o", + "Ġ187 3", + "ĠL akes", + "ot ion", + "Ġcompon ent", + "197 3", + "Ġweap on", + "St ation", + "C ol", + "Ġfor wards", + "ĠLu ke", + "ab e", + "Ġ9 6", + "Ġrep air", + "ĠK le", + "Ġde struction", + "oss ible", + "Ġb iography", + "m aking", + "ĠL ear", + "Ġo cean", + "v et", + "Ġmat hematics", + "Ġcoal ition", + "ĠWars aw", + ". ),", + "w aukee", + "Ġass ets", + "Ġevery one", + "Ġp y", + "Ġcl an", + "Ġinteg rated", + "Ġamong st", + "c ase", + "Ġcivil ian", + "r ates", + "ĠM uch", + "Ġac oustic", + "Ġgu ilty", + "g ame", + "ĠA ctor", + "Ġsp in", + "Ġphotograph s", + "ĠFem ale", + "P l", + "ĠLeban on", + "ĠKaz akh", + "Ġposs ession", + "P R", + "Ġview ed", + "Ġce ased", + "ag ement", + "Ġc able", + "Ġnob le", + "Ġex ception", + "Ġpro hib", + "ĠLeon ard", + "Ġw et", + "Ġst able", + "l ift", + "isc opal", + "k w", + "Ġcl ar", + "over e", + "Th is", + "Ġbelong ed", + "arri er", + "Ġrun ners", + "u ber", + "ov an", + "rat ors", + "Ġpat ron", + "ĠM ut", + "ĠPaul o", + "arg ed", + "Ġsubsidi ary", + "Ġhonor ary", + "Ġra c", + "rehens ive", + "Ġh at", + "Ġfrequ ent", + "ch ing", + "Ġcon j", + "Ġpart ially", + "ĠEc uador", + "ub a", + "ĠA chie", + "Ġsw it", + "ĠT ed", + "ĠFried rich", + "ĠT ong", + "Ġb orders", + "ĠM ik", + "ĠReg ular", + "Ġleg s", + "Ġfarm ers", + "Ġsub stitute", + "ĠEconom ics", + "Ġe asy", + "as ant", + "ĠS uch", + "Ġext ent", + "ĠC ork", + "ĠAr c", + "ĠBaron et", + "form ing", + "Ġp ul", + "Ġb orough", + "ĠM ust", + "r s", + "ĠN ak", + "ĠD ol", + "and om", + "od ed", + "ap se", + "ĠConfeder ate", + "an ced", + "ĠE sc", + "ĠAnn ual", + "ĠTax onomy", + "Ġearn ing", + "Ġcustom ers", + "Ġuse ful", + "min ster", + "ĠF ig", + "Ġmov ies", + "Ġtrad ed", + "ĠH aving", + "Ġg ate", + "Ġinc umbent", + "Ġev ac", + "ĠSe an", + "Ġk it", + "r us", + "ĠLat ino", + "ĠFell ows", + "Ġphys ics", + "ĠArt icle", + "ĠGh ost", + "ĠAll ied", + "Ġimplement ed", + "Ġ ),", + "ĠH ale", + "Ġplay wright", + "Ġsust ain", + "Ġphen omen", + "ĠR idge", + "Ġmarg in", + "b en", + "i ago", + "Ġtr uth", + "ok ie", + "ĠBr uns", + "Ġdeploy ed", + "Ġterm inal", + "Ġrel ation", + "Ġpe oples", + "Ġelect rical", + "Ġw edding", + "Ġon going", + "Ġsim ultane", + "it ars", + "ĠDomin ican", + "Ġsurv iv", + "ĠS ic", + "Ġmurder ed", + "B E", + "i ology", + "ĠProte ction", + "h our", + "iv ic", + "Ġto mb", + "Ġprov inces", + "ĠChap el", + "ĠL ig", + "ĠTeam s", + "Ġv olleyball", + "ĠWat son", + "ĠK id", + "E l", + "str ong", + "ĠB ent", + "Ġpick ed", + "ram s", + "ĠProv incial", + "Ġsec ured", + "Ġdismiss ed", + "Ġconserv ative", + "Ġ8 1", + "Ġsong writer", + "Ġoccas ion", + "Ġspons ored", + "ov ich", + "art a", + "ĠG az", + "ĠSy rian", + "ect or", + "Ġt ort", + "Ġc emetery", + "ĠPr ison", + "Ġapparent ly", + "Ġto ured", + "ort on", + "Ġport rait", + "ven ge", + "ĠProtest ant", + "ĠM ul", + "er i", + "ĠN C", + "ĠMusic ians", + "ull ivan", + "ĠIm m", + "ĠB ond", + "ĠPhill ips", + "Ġel dest", + "ĠJ ur", + "r n", + "h aus", + "ĠInit ially", + "ĠVen ice", + "ĠLe ader", + "Ġstrugg le", + "Ġm atters", + "ul us", + "a a", + "ĠMo z", + "ry s", + "ĠAddition al", + "ĠSing le", + "ĠS ony", + "Ġweek end", + "J an", + "al g", + "ĠCo ach", + "Ġprincip les", + "ĠStud ents", + "Ġcomplet ing", + "Ġb attalion", + "Ġjun ction", + "ĠL amb", + "o ffic", + "ĠR ange", + "ĠGuard ian", + "Ġsubstant ial", + "ĠForm ation", + "Ġbe autiful", + "te am", + "Ġdr ummer", + "Ġas c", + "ĠS yl", + "ĠHar vey", + "ĠStud ent", + "Ġmin eral", + "ac a", + "ĠWall ace", + "ov sky", + "Ġtre nd", + "Ġengine ers", + "ap ped", + "Ġc argo", + "d al", + "iss a", + "ĠE C", + "Ġdraf ted", + "Ġoper ator", + "ĠLeg end", + "Ġp ure", + "Ġiniti ative", + "ĠO g", + "Ġsym pt", + "ins ky", + "ĠCom mercial", + "u ations", + "Ġh ope", + "Ġg rey", + "Ġread y", + "und a", + "ĠInt elligence", + "er as", + "if ier", + "ĠCard inals", + "Ġdiscuss ed", + "ĠW ells", + "ĠD rama", + "ĠFilip ino", + "Ġphot o", + "ff ee", + "196 8", + "reprene ur", + "Ġalcoh ol", + "Ġmanufact urer", + "Ġim perial", + "ĠK ash", + "Ġcho ose", + "Ġmount ed", + "ĠSud an", + "Ġtra p", + "w ald", + "Ġs essions", + "Ġb io", + "Ġ9 7", + "em a", + "ĠB ach", + "Ġgu ide", + "Ġb ishops", + "ae us", + "om ic", + "Ġcl othing", + "Ġmov es", + "Ġexpl o", + "Ġm o", + "ĠTom my", + "Ġacc ord", + "ĠRoc he", + "O ct", + "ĠF ighter", + "Ġex cess", + "Ġ186 9", + "ĠSh ir", + "Ġren ov", + "E d", + "ĠOut standing", + "ĠB eth", + "Ġc ash", + "ol en", + "3 00", + "hemat ical", + "Ġy ield", + "vious ly", + "Ġ8 00", + "ĠHug hes", + "ĠC red", + "Ġtal ent", + "f urt", + "ĠJ ak", + "Ġreve als", + "Ġcon stitution", + "Ġb anned", + "Ġfund ed", + "197 1", + "ĠS ul", + "Ġpass age", + "Ġrespond ed", + "ĠP os", + "ĠL or", + "s uch", + "ĠCon st", + "Ġtri als", + "ĠNash ville", + "u j", + "Ġcommun ications", + "Ġenjoy ed", + "ĠDiv isin", + "Ġind ex", + "ĠHe at", + "Ġestablish ing", + "M arch", + "im o", + "eral ly", + "ro ke", + "Ġvac c", + "Ġdisplay ed", + "ĠK il", + "og an", + "ĠTre as", + "Ġdeb t", + "am er", + "ĠTas man", + "ĠShang hai", + "Ġplay off", + "I R", + "Ġdisc ontin", + "ĠC ov", + "Ġvarian t", + "ĠNe igh", + "Ġfun eral", + "ript ions", + "au er", + "ĠCh an", + "n ew", + "Ġres ort", + "Ġpart ly", + "Ġre venue", + "ĠCompet ition", + "p m", + "Ġp ale", + "ĠM old", + "gom ery", + "ĠColumb us", + "ĠRh ode", + "z ig", + "ific ial", + "Ġint ellectual", + "atche wan", + "sequ ently", + "Ġpartn ers", + "Ġas ks", + "ĠG as", + "ĠIs s", + "Ġdise ases", + "ĠH az", + "act s", + "Ġthr iller", + "Ġregul ations", + "Ġp ip", + "Ġex posed", + "Ġcon greg", + "ĠO ber", + "Ġout break", + "ĠMar qu", + "Ġfal se", + "ĠId aho", + "Ġst rict", + "Ġex ceed", + "ĠR aw", + "ort ion", + "196 9", + "Ġmerg er", + "ĠL ac", + "ĠGreg ory", + "ĠSc reen", + "Ġstep s", + "Ġrem ove", + "Ġout er", + "ĠChap ter", + "ĠGabri el", + "Ġl ingu", + "Ġal gorith", + "Ġposs ibility", + "Ġass ists", + "sc ale", + "ĠDr ive", + "Ġchar ity", + "m ill", + "ĠR us", + "Ġesc ort", + "ĠFour th", + "ĠB ear", + "em e", + "ĠJac ques", + "Ġany one", + "Ġfocus es", + "Ġadv ice", + "ĠJo an", + "ĠAb raham", + "I M", + "N ov", + "Ġ7 9", + "ĠHig her", + "Ġthr one", + "ic ity", + "Ġv ul", + "ĠVill a", + "Ġlab our", + "Ġapp ly", + "ed eration", + "Ġdebut s", + "Ġoppon ent", + "ĠD im", + "Ġbatter y", + "ĠF ictional", + "ĠFer r", + "Ġsur ve", + "ĠRes erv", + "Ġtun nel", + "ĠEle ctions", + "Ġdr iven", + "Ġjurisd iction", + "Ġl ose", + "Ġdisp ute", + "ĠWork ers", + "E x", + "lov ak", + "ĠH at", + "Ġcontin u", + "ĠShe ffield", + "Ġch oir", + "ĠMer it", + "K O", + "ĠS ut", + "ĠRam s", + "ent le", + "ĠMicro soft", + "Ġ8 7", + "in um", + "ĠLeg ion", + "Ġm os", + "Ġext reme", + "Ġ ib", + "Ġ9 8", + "ĠC ec", + "ĠIn g", + "ish a", + "m other", + "ai ro", + "ĠThrough out", + "ĠOr d", + "Ġliber al", + "ĠN g", + "ĠW as", + "Ġfall ing", + "Ġr ated", + "Ġliqu id", + "ro st", + "ĠP S", + "Ġcap s", + "Ġup grad", + "Ġcomp iled", + "ĠBruns wick", + "ĠMig uel", + "ĠY ellow", + "ĠLa ura", + "Ġdomin ated", + "Ġimm igrants", + "ah an", + "Ġrese ar", + "ĠSask atchewan", + "Ġscholar ship", + "up t", + "Ġass emb", + "ĠJ oint", + "Ġsol ar", + "ĠPlay Station", + "ĠArab ia", + "ir us", + "Ġ184 8", + "Ġtw in", + "an ion", + "ĠE ight", + "ick ing", + "ĠSeb ast", + "ad r", + "ĠW ag", + "Ġminor ity", + "ck er", + "Ġwear ing", + "Ġrecip ient", + "Ġexclus ively", + "Ġkeep ing", + "ip ped", + "ĠM ills", + "Ġall iance", + "ĠS ett", + "ĠSt ru", + "Ġsett lers", + "lim inary", + "Ġconne cting", + "O T", + "Ġdes ire", + "it ol", + "Ġgen etic", + "Ġcomp ens", + "Ġnorm ally", + "ut a", + "ĠStud y", + "Ġw ire", + "ĠP rice", + "ĠMont gomery", + "Ġdecision s", + "Ġassist ed", + "Ġdisc rim", + "ĠAh med", + "Ġj ury", + "ers hire", + "Ġcon stitutional", + "ĠNap ole", + "Ġre duction", + "A nd", + "ĠDev on", + "ĠMil waukee", + "ĠTib et", + "Ġ8 4", + "ac ional", + "ĠBab y", + "Ġ185 9", + "Ġunder w", + "H P", + "Ġcond em", + "akes pe", + "Ġro ots", + "Ġt anks", + "ĠAthlet es", + "ĠOb serv", + "ĠPoet ry", + "ĠCar r", + "E L", + "Ġst em", + "Ġprodu ces", + "ĠFran co", + "ĠEs sex", + "Ġd iver", + "m id", + "iz z", + "Ġloc ally", + "C om", + "ĠE ff", + "ĠR uth", + "Ġsequ el", + "Ġdec ides", + "Ġspe aking", + "ĠVlad imir", + "Ġrequ ested", + "uz z", + "ĠScot ia", + "our g", + "19 50", + "ĠC C", + "agon ist", + "cent ral", + "Ġattra ctions", + "ĠPer th", + "h aw", + "ĠMar a", + "ĠTrans l", + "est y", + "ĠS T", + "ĠB ag", + "d ire", + "Ġpattern s", + "ĠM idd", + "Ġmid fielder", + "ĠH ab", + "ĠD anny", + "Ġconstitu encies", + "Ġ9 2", + "Ġtrad itions", + "Ġto urs", + "ĠEngine ers", + "ĠF lying", + "ok u", + "ĠA x", + "Ġgener ated", + "Ġclin ical", + "ĠSw an", + "cy cle", + "Ġro ster", + "Ġcircum stances", + "ĠJ en", + "ab ric", + "Ġsub mitted", + "Ġgrow s", + "Ġem peror", + "Ġcompet itors", + "ie u", + "ĠPal mer", + "Ġne arest", + "Ġess ential", + "p hew", + "Ġclos ing", + "t ers", + "ĠSc ar", + "Ġt ons", + "' ll", + "u ly", + "Ġimplement ation", + "f am", + "ĠMaur ice", + "er r", + "eth yl", + "Ġ185 7", + "d ef", + "ĠGi ov", + "Ġm al", + "ĠRh odes", + "Ġb ay", + "Ġcon clusion", + "Ġunc ertain", + "oc ene", + "Ġne ither", + "Ġf old", + "ĠAir craft", + "est one", + "end ers", + "ĠCy pr", + "ĠF iction", + "Ġpurs ue", + "Ġst ab", + "Ġconne ct", + "osp el", + "Ġcont roll", + "ĠT all", + "Ġr ising", + "ĠBen ed", + "p y", + "Ġbe ating", + "ĠV oice", + "ĠCh urches", + "\" :", + "ĠA j", + "Ġlim its", + "ĠL ok", + "ĠGro ve", + "ĠMar io", + "Ġ8 6", + "ĠP ath", + "Ġb in", + "bor g", + "A d", + "Ġprop ag", + "CA R", + "Ġdivers e", + "ĠP rague", + "Ġs isters", + "ĠEx am", + "Ġen forcement", + "ĠYugoslav ia", + "ĠRena issance", + "Ġbound aries", + "Ġv ast", + "ab i", + "U K", + "Ġdeliver y", + "r ating", + "l ist", + "Ġf it", + "Ġmon astery", + "Ġterm inus", + "om i", + "Ġlow est", + "Ġunsuccess ful", + "ĠSomers et", + "e ing", + "Ġbre aking", + "Ġ9 3", + "a ude", + "ra wn", + "Ġelectric ity", + "ĠDe uts", + "Ġexhib itions", + "ĠLeg al", + "ĠF ly", + "ĠK i", + "f irst", + "b one", + "Ġgro ss", + "Ġappropri ate", + "Ġacqu isition", + "ĠG amb", + "as er", + "Ġcross ed", + "he nt", + "Ġst yl", + "Ġvict im", + "Ġb right", + "Ġiniti ated", + "A t", + "uss ia", + "Ġbal ance", + "ro ph", + "Ġto uring", + "Ġclos er", + "ĠE ld", + "ĠUn incorporated", + "ĠC inema", + "Ġmidfield ers", + "Ġs ailed", + "ĠT able", + "ĠD aw", + "Ġacknow led", + "qu er", + "n amese", + "att a", + "ĠT ir", + "Ġtop ics", + "ĠMe chan", + "l ia", + "Ġint ention", + "Ġmanag ing", + "av or", + "ĠRevolution ary", + "Ġsh ock", + "Ġconne ctions", + "ĠFran z", + "cl os", + "ĠW ald", + "Ġs ight", + "Ġcon vert", + "Ġmat hematic", + "Ġprodu ctions", + "ĠV ent", + "end a", + "Ġe at", + "ĠAr med", + "196 7", + "av ia", + "ĠNew ton", + "l ain", + "Ġnovel ist", + "ĠJ ung", + "ĠSh akespe", + "ĠAbd ul", + "Ġne ck", + "Ġmechan ical", + "ĠKr ish", + "Ġto ol", + "ĠC u", + "B est", + "ĠRon ald", + "ill es", + "ĠFurther more", + "Ġr is", + "Ġhe ir", + "pl ed", + "' d", + "Ġcou p", + "ĠM ang", + "Ġrespect ive", + "h in", + "Ġm asc", + "Ġnar rative", + "Ġcontin uous", + "ap est", + "Un ited", + "l u", + "Ġp or", + "et o", + "ro e", + "tra cks", + "Ġ18 30", + "ĠMc M", + "Ġ8 9", + "Ġre organ", + "Ġdiscuss ion", + "Ġreb ell", + "ĠCub an", + "ĠOsc ar", + "c os", + "ij a", + "ĠOt to", + "ĠCom merce", + "ĠClar ke", + "ĠGu ild", + "ĠPalest ine", + "ĠIndian apolis", + "ĠNott ingham", + "ĠV ern", + "Ġconvers ion", + "ath i", + "ic as", + "ĠIn stitut", + "ĠDel ta", + "Ġman if", + "U C", + "el in", + "ĠCamer on", + "ĠA ires", + "Ġparticip ating", + "Ġpit cher", + "ĠR aid", + "c ore", + "Ġre ct", + "Ġstrateg ic", + "v ar", + "Ġtreat y", + "we b", + "ans k", + "Ġnot ice", + "Ġcondu ctor", + "Ġmar ry", + "ĠA aron", + "ĠW ed", + "Ġnegoti ations", + "193 9", + "Ġsc en", + "e o", + "Ġimp ress", + "s ur", + "ar ation", + "ĠArch ives", + "Ġhous ed", + "ĠSp encer", + "ĠUg anda", + "ri ft", + "Ġsee ing", + "Ġex ecution", + "Ġrem ix", + "ap pro", + "Eng lish", + "Ġresign ation", + "Ġ8 3", + "sec ond", + "ĠH ous", + "ĠMot ors", + "Ġstreng then", + "ĠVal ent", + "eng u", + "ĠF at", + "ĠM orning", + "ĠP and", + "Ġse vent", + "Ġorig ins", + "Ġmar ks", + "Ġinvol ves", + "Ġsubmar ine", + "Ġtr uck", + "ad ier", + "ĠBl ock", + "ĠChile an", + "ĠG T", + "Ġhe ar", + "Ġcamp s", + "ĠFace book", + "ĠSt ill", + "Ġco operation", + "Ġs ang", + "Ġtim ber", + "Ġf itted", + "ĠIsa ac", + "Ġbas es", + "Ġphot ographer", + "ĠPhil osophy", + "Ġisol ated", + "ĠSte in", + "Ġbe auty", + "ĠB od", + "ĠStock holm", + "Ġillust rated", + "Ġt urb", + "Ġconcern ing", + "d isc", + "Ġel se", + "ĠMethod ist", + "Ġal ter", + "R T", + "ĠB ak", + "ath a", + "} }", + "Ġcampaign s", + "ĠByz antine", + "av ier", + "ĠDist inguished", + "Ġsuper ior", + "writ ing", + "Ġg ard", + "Ġa qu", + "Ġr ide", + "t ar", + "Ġc attle", + "Ġexhib ited", + "is che", + "ĠJust in", + "Ġsele ct", + "ĠBr as", + "Ġman age", + "y gen", + "Ġout standing", + "Ġtrib ute", + "ĠArch ive", + "Ġg al", + "Ġst im", + "ĠOak land", + "J ohn", + "u ros", + "ĠHind i", + "ze gov", + "alle st", + "ĠMach ine", + "Ġo verseas", + "v ol", + "ĠPrinc eton", + "Ġprinc iple", + "ne x", + "on ly", + "om o", + "Ġcol ors", + "Ġphot os", + "Ġcontribut ing", + "ĠA w", + "Ġag ree", + "Ġsl ave", + "Ġmanufact urers", + "Ġ10 1", + "Ġcon vin", + "ĠC F", + "ĠH ir", + "Ġviol ent", + "E N", + "ĠThere fore", + "h istor", + "ator ial", + "h al", + "Ġexerc ise", + "Ġmechan ism", + "Ġh orn", + "Ġs alt", + "Ġtrav elled", + "ol and", + "ĠD ame", + "Ġeconom ics", + "ĠLe ft", + "ĠLiber ty", + "Ġess ay", + "Ġprote ins", + "Ġmanufact ured", + "Ġr itual", + "ĠAc cess", + "ĠNorth west", + "Ġindu cted", + "os lovak", + "Ġsurv ive", + "Ġdescrib ing", + "ig ious", + "na issance", + "Ġdisc ip", + "Ġ ur", + "ĠW here", + "Ġorig inated", + "aur us", + "Ġj u", + "is an", + "196 5", + "r ors", + "ĠB ears", + "ĠP resent", + "Ġfilm ing", + "Ġinternational ly", + "Ġm or", + "ĠRe yn", + "song writer", + "Ġper mission", + "ĠDur ham", + "r ont", + "ant i", + "et ary", + "Ġpromot ing", + "ĠSh ips", + "Ġdef ended", + "ar u", + "Ġkid n", + "F or", + "ĠRo om", + "f ilm", + "Ġrad ical", + "Ġpet ition", + "Ġa thlete", + "Ġsuit able", + "col span", + "V P", + "ĠC hess", + "Ġpict ures", + "ĠF ra", + "ang le", + "ĠR ut", + "uss els", + "ĠShakespe are", + "Ġg iant", + "ĠLi u", + "ĠS ter", + "it ic", + "O r", + "rie ved", + "c or", + "H z", + "ĠAmaz on", + "Ġun incorporated", + "t ains", + "Ġinterview s", + "Ġf at", + "Ġvir us", + "Ġincre ases", + "fr ont", + "c ott", + "ĠL ak", + "Ġwealth y", + "Ġrep orter", + "Ġdiplom atic", + "art et", + "ĠJohann es", + "Ġm aps", + "Ġminist ry", + "Ġrestaur ants", + "m ir", + "ili ar", + "Ġan alog", + "writ ten", + "umber land", + "te g", + "Ġ185 4", + "Ġegg s", + "Ġinflu ences", + "b oys", + "ĠRe ed", + "ĠBenn ett", + "ĠJama ica", + "or ious", + "ĠK ill", + "Ġor n", + "form s", + "ĠE SP", + "Ġt ies", + "ĠN ame", + "4 00", + "Ġlat est", + "cul es", + "ĠBu enos", + "Ġfight ers", + "Ġdo ors", + "Ġdist ribut", + "Ġconf ig", + "ĠLe ic", + "il o", + "Ġm it", + "Ġre aches", + "Ġm amm", + "ic ia", + "ro y", + "ĠCh i", + "Ġinn ov", + "20 23", + "Ġcl ock", + "Ġhel ps", + "Ġthe rm", + "ĠK ate", + "ĠL ess", + "l ag", + "ĠN ancy", + "C o", + "Ġreleg ated", + "pt y", + "Ġchalleng es", + "ĠCab inet", + "ĠGe off", + "zegov ina", + "ir ms", + "ĠK arn", + "ĠK as", + "ĠF olk", + "Ġne uro", + "f a", + "ph is", + "ĠL ett", + "ĠFor um", + "ĠF oster", + "enh agen", + "ĠB ros", + "ĠMan it", + "Ġin put", + "Ġge omet", + "Ġmet ropolitan", + "ĠCypr us", + "Ġ9 1", + "Ġpers u", + "ens on", + "p ubl", + "Ġexp and", + "Ġcollabor ated", + "ang ular", + "O L", + "Ġinc om", + "ĠGrand e", + "Ġdr um", + "Ġfl ights", + "Ġd angerous", + "Ġprepar ation", + "ĠS old", + "ĠPan ama", + "iv o", + "vel t", + "ĠMont ene", + "ateg ory", + "Ġr andom", + "ph ib", + "Ġfif teen", + "Ġrecogn ised", + "196 6", + "ĠViet namese", + "ĠK ol", + "ĠGoth ic", + "ĠSus sex", + "ĠRe ading", + "Ġbi ological", + "oy age", + "Ġhunt ing", + "Ġsy mp", + "ĠK or", + "Ġc ouncill", + "ĠC raw", + "ĠEncyclop edia", + "ĠConc ert", + "ĠLiter ary", + "ou ch", + "Ġland ed", + "ĠTod d", + "ĠI sh", + "Ġathlet ics", + "as hes", + "196 4", + "J une", + "Ġhy per", + "Ġdoes n", + "Ġsim pl", + "Ġdomin ant", + "ĠRelig ious", + "Ġadvent ure", + "Ġfor g", + "ĠB rid", + "ett i", + "Ġapp re", + "ok o", + "Ġgu ar", + "Ġsm ooth", + "by ter", + "Ġb er", + "ĠDe b", + "Ġcle arly", + "Ġfin ance", + "ed ed", + "Ġtemper atures", + "Ġ185 5", + "ul ating", + "ĠO wn", + "ic ing", + "ĠV ar", + "ĠSh oot", + "ĠTr in", + "Ġbut ter", + "A pril", + "A ugust", + "not es", + "ie v", + "ĠC N", + "Ġdep ict", + "ĠM obile", + "ĠSalv ador", + "ĠLuc as", + "Ġ185 8", + "ĠG y", + "Ġsc ores", + "ĠP ent", + "E M", + "Ġreport ing", + "ĠPet e", + "ĠEm ir", + "ur as", + "um er", + "ĠArt icles", + "ĠCzech oslovak", + "Ġchar ter", + "Ġf asc", + "ĠB ased", + "Ġdesign ation", + "ĠG mina", + "Ġm arch", + "Ġ18 00", + "ĠEd itor", + "Ġthere after", + "ĠPro per", + "ĠAm bassador", + "ĠAlban ian", + "Ġ rib", + "Ġw aste", + "ats u", + "Ġdepart ed", + "ĠD y", + "Ġfem in", + "ĠC itations", + "ĠZh ang", + "Ġbelie ves", + "ib ilities", + "Le ague", + "Ġs ample", + "ĠP on", + "ĠGram my", + "es a", + "ran k", + "Ġsumm it", + "Ġcompos itions", + "Ġrest ricted", + "l en", + "re f", + "Ġinte gr", + "ĠD ale", + "ric ks", + "re ction", + "art s", + "ĠAng els", + "Ġa viation", + "Ġaccess ible", + "it us", + "ĠHar bor", + "ĠD as", + "ĠM ull", + "ĠM umb", + "Ġs ket", + "Ġvis its", + "ĠE t", + "ĠR i", + "Ġdepart ments", + "Ġ9 4", + "on na", + "ĠG ur", + "row s", + "ock et", + "Ġlegisl ature", + "ĠJun ction", + "Ġearthqu ake", + "ĠP ract", + "Ġvent ure", + "ĠKenn eth", + "ĠC itiz", + "be k", + "ĠPopul ar", + "Ġtr ump", + "z on", + "J apan", + "ific ate", + "ĠAn y", + "Ġdel ayed", + "Ġbon us", + "c in", + "ĠZ imb", + "Ġdep icted", + "ĠIraq i", + "Ġfast est", + "ĠMc D", + "f ree", + "ĠS uff", + "Ġbrig ade", + "Ġpian ist", + "Ġpre t", + "D R", + "d ess", + "ra h", + "ad ian", + "ĠC yr", + "Ġn inet", + "ĠG ren", + "Ġsympt oms", + "Ġmach ines", + "Ġt el", + "Ġb aby", + "al m", + "t wo", + "Ġel igible", + "ĠF ul", + "ĠN as", + "ĠSant iago", + "ĠK w", + "Ġph arm", + "l og", + "ĠNov els", + "Ġac res", + "uch i", + "if ts", + "Ġclos ure", + "Ġacadem y", + "Ġsl aves", + "ĠEag le", + "ĠCo x", + "19 40", + "B L", + "aj i", + "ill on", + "ĠDec ision", + "Oct ober", + "Ġsound s", + "ĠHer zegovina", + "Ġf ee", + "g ments", + "Ġra bb", + "Ġlay er", + "ĠP om", + "cf c", + "Ġdemonst rated", + "om orph", + "ĠMe g", + "Ġg ram", + "ĠFinal ly", + "ĠAm ateur", + "Ġpre st", + "ĠE k", + "Ġnovel ists", + "ĠM C", + "Ġch ron", + "Ġinsp iration", + "ĠRail ways", + "Ġne phew", + "apt ers", + "Ġleg acy", + "ĠL isa", + "Ġ els", + "m n", + "ĠX X", + "Ġn ut", + "Ġtrans m", + "u ke", + "ploy ment", + "Ġt ested", + "Ġdev oted", + "ĠL az", + "Ġpre ferred", + "Ġc avalry", + "Ġf ill", + "Ġgu ests", + "ĠEle ctoral", + "ĠArmen ia", + "Ġam bassador", + "ĠWild life", + "over ed", + "ĠK re", + "ok es", + "ĠOver view", + "ash ire", + "Ġcorrespond ing", + "Ġgu itars", + "ĠS aw", + "Ġcon stitut", + "ĠA ch", + "Ġarrang ements", + "ĠEd mund", + "ĠGu ards", + "Ġcert ified", + "Ġdis ch", + "Ġbl og", + "Ġ184 9", + "on ne", + "Ġp ointed", + "ĠTh ose", + "ĠB anks", + "Ġline ar", + "b ing", + "anim ous", + "Ġburn ed", + "b ie", + "e an", + "ĠM ade", + "ab we", + "Ġattempt ing", + "Ġus age", + "Ġsub sc", + "ĠD j", + "em ies", + "Ġupd ated", + "ĠM n", + "ĠR overs", + "Ġshop ping", + "mar ks", + "ĠOw en", + "ĠRo ose", + "ren cy", + "Ġaltern ate", + "ĠP ick", + "Ġco oper", + "Ġstruct ural", + "Ġide al", + "Ġen h", + "b ank", + "h all", + "ag ers", + "at ics", + "ĠB il", + "ĠTw enty", + "Ġhor iz", + "ric a", + "count ry", + "Ġro cks", + "Ġ185 6", + "ĠMarc us", + "or ge", + "ĠP ep", + "19 18", + "Ġs aved", + "ens en", + "ĠCom edy", + "mon th", + "Ġav o", + "Ġ185 2", + "Ġcon fess", + "Ġr id", + "ĠD uc", + "Ġlist ings", + "ĠI P", + "ĠP iet", + "Ġext end", + "Ġr iding", + "Ġvert ical", + "ĠMan ila", + "ĠRelig ion", + "ĠM TV", + "ĠAn a", + "Ġinher ited", + "Ġwid er", + "b as", + "i ens", + "ĠGl ou", + "Ġde emed", + "ĠLithuan ia", + "ĠMar x", + "Ġgard ens", + "rup ted", + "Ġanim ation", + "ĠSh op", + "ĠInd igenous", + "ro d", + "Ġs iege", + "uck er", + "Ġwid th", + "en er", + "ind a", + "O ne", + "ĠC rist", + "az i", + "ĠS of", + "ĠV il", + "ĠG ael", + "c ano", + "Ġtor ped", + "ĠB un", + "Ġrev ised", + "Ġappro ached", + "U P", + "Ġqual ification", + "s he", + "Ġrele vant", + "Ġindust ries", + "Ġres umed", + "ĠS ene", + "ĠEston ian", + "ĠBro oks", + "Ġen rolled", + "am ation", + "ĠTe xt", + "ĠH ass", + "ro oms", + "ĠWinn er", + "T e", + "Ġdep ression", + "Ġpers pective", + "ĠM am", + "Ġrec alled", + "Ġt um", + "ĠN ine", + "ĠRod rig", + "ĠP or", + "z ing", + "Ġcan al", + "Ġpract ical", + "Ġrecover y", + "Ġab olished", + "ĠA ur", + "p ost", + "ĠLe x", + "ĠOb ama", + "ut ed", + "od ia", + "ĠEx hibition", + "ĠCol in", + "intend o", + "Ġbrand s", + "ĠMoroc co", + "ĠIn spe", + "Ġchem istry", + "ĠCirc le", + "ĠLux emb", + "Ġrare ly", + "ers e", + "Ġto t", + "Ġneut ral", + "Ġels ewhere", + "ĠMc L", + "arch y", + "ĠLanc ashire", + "ĠVol unte", + "Ġpric es", + "il ian", + "ĠB elf", + "f our", + "Ġcons olid", + "Ġinh ab", + "ish i", + "O P", + "bor o", + "ĠSe x", + "Se ptember", + "at on", + "Ġpower ed", + "ĠF ras", + "De cember", + "ĠI F", + "Ġbirth day", + "st ed", + "et e", + "Ġfarm ing", + "ĠM ine", + "ĠL A", + "Ġg auge", + "Ġpro secut", + "is p", + "ĠInd ies", + "ucle ar", + "cess ion", + "ĠParalymp ics", + "ar r", + "Ġan nex", + "ll a", + "el o", + "Ġcr uc", + "ot ing", + "ĠT ampa", + "Ġc yl", + "ĠDav ies", + "Ġtempor arily", + "ri ke", + "ĠS weet", + "tern oon", + "ĠSt ories", + "ĠU tt", + "ĠFern ando", + "Ġt ight", + "ĠK em", + "Ġin formed", + "ĠD ob", + "ĠEx ped", + "ĠX V", + "Ġman s", + "Ġrel ating", + "Ġremov al", + "Ġwind s", + "Ġdecor ated", + "ĠClass ical", + "Ġform ula", + "Ġdist ingu", + "Ġinstall ation", + "J uly", + "R I", + "Ġattend ance", + "el ing", + "ĠBird s", + "Ġo l", + "Ġb ath", + "Ġt enth", + "Ġl akes", + "ic z", + "Ġcl ergy", + "Ġcirc le", + "it ary", + "Ġbelong s", + "ĠL ot", + "Ġthe rapy", + "th rough", + "Ġtradition ally", + "ose xual", + "Ġd atabase", + "ent o", + "Ġdisband ed", + "ĠT yp", + "lev ard", + "ĠCorn wall", + "Ġh ospitals", + "ĠWest minster", + "Ġspe aker", + "Ġspecial ized", + "Ġanth rop", + "om ber", + "zh ou", + "ĠD ictionary", + "ĠB M", + "ĠMumb ai", + "Ġin ternet", + "ĠCop a", + "ĠTot al", + "ĠA FC", + "ĠColon ial", + "ĠCont est", + "ĠSl av", + "ĠHar per", + "Ġpredecess or", + "g ra", + "ent ry", + "ĠMond ay", + "Ġb achelor", + "we ek", + "s i", + "Ġrestrict ions", + "ĠCop enhagen", + "Ġres id", + "ĠJ ava", + "on so", + "ĠS elf", + "Ġarchae ological", + "ar ians", + "isc her", + "Ġb ell", + "ĠRoose velt", + "oy e", + "ĠTra vel", + "ĠRe con", + "Ġconvent ional", + "Ġr um", + "Ġele mentary", + "ĠSch w", + "Ġhy brid", + "Ġcolumn s", + "r ish", + "ĠGard ens", + "Ġcoin s", + "ĠLou ise", + "Ġsur pr", + "ĠZimb abwe", + "Ġg ran", + "oy a", + "ili ary", + "Ġinterpret ation", + "Ġdec ide", + "Ġpart ial", + "re ts", + "st and", + "ur ated", + "af e", + "ap ur", + "Ġarr iving", + "Ġarg ument", + "Ġextens ively", + "ĠJul ian", + "ĠLabor atory", + "Ġinter cept", + "Ġinter pre", + "om ed", + "Ġbas in", + "ĠAp pro", + "Ġext inct", + "ĠG erald", + "rap ped", + "r ise", + "Ġc a", + "Ġus ual", + "ĠN intendo", + "A ust", + "Ġpione er", + "Ġident ical", + "196 2", + "oir s", + "ĠRe ich", + "Ġco at", + "Ġabs ol", + "ĠMar itime", + "ĠM use", + "ĠGiov anni", + "ĠAll an", + "Ġann ounc", + "Ġexpos ure", + "Ġp airs", + "m akers", + "nd ez", + "Ġn am", + "Ġrul er", + "ĠBl ake", + "z ed", + "ĠFif th", + "ĠInter view", + "H C", + "Ġ 00", + "at em", + "iff s", + "Ġcarri er", + "Ġrang ing", + "B N", + "ĠAp oll", + "ad ows", + "Ġrem ote", + "Ġs ke", + "ll er", + "Ġwrit ings", + "Ġt ens", + "im ates", + "Ġlook ed", + "h im", + "Ġpo le", + "ĠInt ro", + "ĠCan ter", + "l isted", + "Ġend ors", + "ĠEp iscopal", + "in f", + "ĠNik ol", + "ac co", + "Ġart work", + "Ġrev ol", + "ĠM atch", + "bro ok", + "196 3", + "igr ant", + "ĠG P", + "Ġcomm enced", + "Ġrece ives", + "ur se", + "ĠMalays ian", + "ĠPalest inian", + "ĠT ree", + "Ġv el", + "ĠA my", + "Ġdiss olved", + "Ġhousehold er", + "ĠRes ources", + "ĠPre m", + "Ġtribut ary", + "ĠRec ording", + "Ġ185 1", + "am y", + "Ġbank rupt", + "M usic", + "Ġwalk ing", + "on ial", + "ĠAh mad", + "Ġvocal ist", + "S U", + "Ġal ive", + "ĠQu est", + "Ġmin i", + "ĠH erald", + "Ġl ift", + "ĠDes ert", + "ĠMal ta", + "Ġab oard", + "Ġindic ating", + "Ġt icket", + "Ġfra ud", + "ĠPres byter", + "l ane", + "in as", + "Ġcom fort", + "Ġre vers", + "ĠFer din", + "ĠC ort", + "Ġwork er", + "Ġexp ensive", + "Ġpri ests", + "Ġs ung", + "y on", + "Ġcon ven", + "ĠR ice", + "l ights", + "Ġfre estyle", + "ĠC ust", + "w id", + "ĠA F", + "Ġcolle ctive", + "os es", + "ĠA ub", + "Ġdifficult ies", + "ĠPar ad", + "ĠEll is", + "play ing", + "ĠUS S", + "ĠRe form", + "ĠCamp us", + "onn ie", + "ĠEnd emic", + "ĠSe g", + "op ol", + "Ġcor ruption", + "at hered", + "Ġcat hedral", + "Ġexclus ive", + "ac in", + "ĠParliament ary", + "Ġdis order", + "Ġaff air", + "ff cc", + "ĠT ab", + "Ġaccom pany", + "Ġcop per", + "Ġc iting", + "found er", + "Ġde ck", + "Ġl iv", + "ĠGu itar", + "Ġf ulf", + "ĠT alk", + "ĠH im", + "st ract", + "ĠP ale", + "Ġbre ast", + "19 30", + "ĠBund es", + "Ġarchite cts", + "ĠKum ar", + "ĠAp ost", + "ull ah", + "ĠCard inal", + "Ġcomp ound", + "Q u", + "ĠV II", + "ed o", + "Ġb otan", + "ir ts", + "ĠMan ufact", + "ĠPear l", + "Ġcitiz en", + "Ġopt ions", + "Ġcarri es", + "ĠSaf ety", + "er ie", + "stru ct", + "195 9", + "ĠO z", + "Ġb ull", + "Ġtal ks", + "com pass", + "Ġfle w", + "ĠHit ler", + "Ġphys ic", + "ĠIs le", + "Ġsp end", + "ĠGu ang", + "Ġ{ {", + "Ġpit ched", + "Ġr ice", + "Ġsynd rome", + "Ġesc aped", + "Ġaggreg ate", + "Ġm oral", + "w as", + "Ġrefer end", + "Ġcent res", + "mont on", + "Ġpro l", + "Ġfoot age", + "Ġtarg ets", + "Ġun like", + "Ġra ising", + "ĠM ixed", + "Ġb ibl", + "Ġco ached", + "ari um", + "s ub", + "ĠGeorg ian", + "ĠB ott", + "ĠCelt ic", + "ĠM D", + "Ġc inem", + "Ġper mitted", + "um ps", + "or um", + "Ġh ills", + "Ġelev ated", + "Ġpl acing", + "Ġl ar", + "ĠEvent ually", + "ĠS ullivan", + "196 1", + "w oman", + "Ġre ducing", + "ĠAr d", + "n amed", + "Ġ <", + "Ġtechn ologies", + "ĠWy oming", + "ĠP iano", + "Ġsimultane ously", + "ĠB ronze", + "ĠManit oba", + "ĠG and", + "ĠTra in", + "ĠMon th", + "ĠHer o", + "ĠJ al", + "ĠRe cent", + "Ġdis aster", + "S outh", + "Nov ember", + "Ġsculpt or", + "osoph ical", + "ĠHol mes", + "Ġswit ched", + "is ons", + "Ġr ig", + "Ġre op", + "ĠDou ble", + "Ġpull ed", + "Ġeffic ient", + "Ġrefle ct", + "c u", + "leg raph", + "Ġfram ework", + "Ġme at", + "Ġvirt ual", + "ĠBeg inning", + "od ing", + "i our", + "and ro", + "ĠH es", + "ĠCl aud", + "v or", + "ĠW ik", + "ĠH us", + "Ġimprison ed", + "ĠESP N", + "Ġpl ain", + "ĠH arm", + "Ġs itting", + "ĠSc out", + "for ced", + "Ġf t", + "Ġc hess", + "v y", + "Ġg ear", + "Ġpil ots", + "ĠMet al", + "ĠPl ate", + "ĠOr land", + "ĠMor i", + "ac les", + "g ary", + "G M", + "H F", + "Ġb oss", + "Ġaware ness", + "Ġt ill", + "Ġnickn ame", + "ĠSh ield", + "ĠB ark", + "ĠTan z", + "Ġlocomot ive", + "Ġcoin c", + "ĠL iv", + "Ġdef ender", + "Ġveter an", + "195 8", + "ĠH D", + "y stem", + "ĠCurrent ly", + "s m", + "Ġdem ands", + "ĠPlay ing", + "Ġfund amental", + "th ird", + "sh a", + "ĠGl ass", + "G C", + "ĠM ales", + "ĠDun can", + "Ġcoll apse", + "Ġquarter back", + "Ġsh ops", + "Ġs ugar", + "Ġans wer", + "ĠW ool", + "ax y", + "Ġbomb ing", + "Ġcompar ison", + "Ġcoll aps", + "ĠBel grade", + "man uel", + "in ating", + "ĠC ore", + "Ġbus es", + "Ġ184 7", + "ĠX I", + "amb ers", + "le z", + "I reland", + "ĠWood s", + "ĠC R", + "ci ation", + "Ġemot ional", + "w orld", + "U N", + "ĠG ymn", + "onn ell", + "Ġt ier", + "ĠDe cl", + "k t", + "P r", + "ĠBe et", + "ond o", + "Ġstud ios", + "ol ics", + "ĠW atch", + "g ence", + "ĠAn at", + "ĠF K", + "Ġbl ues", + "Jan uary", + "ĠPort s", + "Ġthe ories", + "hold ers", + "Ġer ror", + "h arm", + "Ġfl ank", + "ĠB ran", + "at in", + "ĠBr ussels", + "ĠUnivers e", + "Ġwid ow", + "Ġorgan ic", + "ĠJul ia", + "Ġsam ples", + "Ġbl ind", + "oot s", + "ra cks", + "ack ed", + "ĠH od", + "Ġfound ers", + "ĠS ou", + "ĠCal gary", + "Ġsc iences", + "ĠLes lie", + "ĠK om", + "ĠSt akes", + "ĠBut ter", + "Ġdes ert", + "ĠEston ia", + "193 6", + "ĠMar in", + "ĠC avalry", + "Ġout door", + "av ian", + "Ġhistor ically", + "Ġcor ps", + "ib a", + "Ġch rom", + "itte es", + "Ġpr ince", + "ĠR A", + "Ġprom in", + "ĠPhys ics", + "Ġun less", + "ĠCanter bury", + "195 7", + "ar ry", + "ĠSoft ware", + ") )", + "Ġphil anthrop", + "ĠFa ith", + "ĠD iet", + "Ġfeel ing", + "com m", + "uk u", + "Ġg athered", + "ĠT iger", + "ĠK urt", + "ĠV a", + "in ery", + "Ġp ap", + "Ġcart oon", + "ĠTri ple", + "Ġent hus", + "Ġmeas ured", + "che l", + "ĠF ut", + "Ġtouchdown s", + "Ġev olved", + "Ġreserv es", + "W hat", + "ĠLegisl ature", + "ĠE is", + "ĠD um", + "Ġto x", + "Ġp ushed", + "ĠAndrew s", + "ast ics", + "ĠMe et", + "Ġ185 3", + "ĠSp ider", + "Ġmain stream", + "Ġin stitute", + "ĠCh ange", + "I nt", + "d orf", + "Ġthink ing", + "ĠCont inental", + "Ġspe akers", + "imens ional", + "ĠPro p", + "Ġdoll ars", + "Ġt ub", + "ĠHop kins", + "ĠN ortheast", + "im en", + "iz ard", + "ig i", + "ĠAd vanced", + "I tal", + "ĠHonor ary", + "r ary", + "ad h", + "Ġrif le", + "ĠL ic", + "Ġphr ase", + "ĠT ropical", + "ĠL oss", + "on ica", + "Ġdet ect", + "Ġent ers", + "all ing", + "ad ers", + "Ġw orn", + "o ft", + "ĠMe h", + "Ġall ies", + "Ġun ions", + "ĠFight ing", + "Ġcasual ties", + "Ġthan ks", + "ĠH erm", + "Ġdescend ants", + "S ch", + "qu et", + "ĠBra h", + "Ġexpl ains", + "ĠR ush", + "Ġste ep", + "ĠBry an", + "o que", + "Ġrang es", + "Ġatmosp here", + "intend ent", + "Ġbox ing", + "Ġtour ist", + "Ġret reat", + "Ġwor st", + "ĠAr sen", + "int ers", + "ĠSol omon", + "bo at", + "ĠLithuan ian", + "Ġsusp ension", + "Ġproced ure", + "l ength", + "us a", + "Ġdial ect", + "ater al", + "Ġvaria ble", + "Ġcomp rehensive", + "es is", + "Ġh idden", + "ip ur", + "as an", + "Ġgold en", + "Ġexhib it", + "ĠAlban ia", + "ĠUnivers ities", + "Ġcross es", + "Ġcor on", + "ĠHe ights", + "Ġz ero", + "ĠTrans it", + "ist ing", + "Ġdocument ed", + "I f", + "ĠCom pos", + "ĠCa uc", + "Ġsh aring", + "Ġinter change", + "ĠV eter", + "ĠC un", + "Ġdo ct", + "Ġhon ours", + "ang ered", + "Ġcharacter istic", + "ĠS ons", + "Ġrefuge es", + "Ġpro ve", + "Ġdis app", + "E ast", + "Ġro ot", + "Ġ184 6", + "ĠEd monton", + "ĠM is", + "Ġag es", + "ĠNAS A", + "Ġp ist", + "ipp ing", + "Ġassoci ations", + "ĠLud wig", + "ĠL on", + "Ġst ake", + "Ġautom atic", + "ĠStart ing", + "Ġslow ly", + "r t", + "ĠRem ix", + "r ity", + "Ġappro aches", + "ĠBur ials", + "Ġsp ell", + "Ġst ops", + "Ġf ert", + "Ġs oph", + "ĠRoll ing", + "Ġres iding", + "ick en", + "ĠTw itter", + "ĠP R", + "ĠT at", + "ĠGu j", + "Ġpe er", + "195 6", + "ĠPow ell", + "iff e", + "Ġattack ing", + "ĠEm ma", + "195 5", + "k u", + "Ġcivil ians", + "Ġreg ister", + "Ġgrand son", + "Ġconsum ption", + "Ġsoci eties", + "n al", + "Ġpost s", + "Ġy ard", + "Ġind epend", + "Ġsport ing", + "ĠNew port", + "ĠFrank furt", + "Ġres ol", + "Ġmag ic", + "ĠCh ad", + "ĠHend erson", + "Ġpro x", + "ĠCl if", + "Ġrem ark", + "Ġins pe", + "ĠH iro", + "Ġart ificial", + "19 20", + "Ġsust ained", + "Ġse eds", + "Ġsuppl ied", + "193 7", + "Ġb old", + "Ġreg ulation", + "ĠKing ston", + "ĠThe ory", + "ĠR ib", + "pir acy", + "i ott", + "ĠH ull", + "ĠSh adow", + "itz er", + "g art", + "ĠPl anning", + "Ġmonth ly", + "Ġdiffic ulty", + "Ġexcell ent", + "Ġkey board", + "ĠM uk", + "Ġfeel ings", + "ĠBrad ley", + "l it", + "f ast", + "ĠP orter", + "l ies", + "ern ess", + "Ġsculpt ures", + "Ġben ch", + "ĠMem phis", + "Ġib n", + "Ġcom ments", + "ĠPlan et", + "Ġin struction", + "G u", + "ĠT yler", + "ĠV id", + "Ġvers e", + "ux iliary", + "ch ief", + "ĠTe h", + "ĠMar ri", + "Ġconne cts", + "Ġen compass", + "ĠShe p", + "a very", + "quir y", + "Ġcontrol s", + "ĠSt rat", + "ĠLe op", + "Ġrefer ring", + "ĠS ie", + "Ġor chest", + "Ġtour ism", + "Ġ\" [", + "b ase", + "ĠPar am", + "s outh", + "ĠExped ition", + "Ġdr ink", + "Ġent repreneur", + "Ġfail ing", + "Ġen emies", + "ĠP ool", + "w he", + "ĠP seud", + "spe ed", + "Ġvict ories", + "Ġhyp othes", + "Ġtem ples", + "Ġdistin ctive", + "ĠEm ily", + "Ġfe ud", + "ĠSur rey", + "Ġover t", + "ĠMinist ers", + "Ġrad ar", + "ĠBre ak", + "ph ab", + "Ġt elling", + "ĠComple x", + "sh i", + "Ġkilomet ers", + "ĠC ord", + "atter ed", + "ĠArm strong", + "Ġs overe", + "ĠBl oom", + "m us", + "ĠBa iley", + "Ġpsych ology", + "enti eth", + "ĠN atal", + "194 2", + "ĠHigh land", + "ĠLore n", + "Ġlog o", + "ke es", + "ĠSp art", + "ĠM iles", + "Ġqu ad", + "ut ical", + "G S", + "Ġdiscontin ued", + "ĠDire ct", + "and ra", + "ad os", + "Ġloc k", + "ĠM om", + "ĠPrincip al", + "Ġpl astic", + "Ġpopul ated", + "ĠOrland o", + "Ġdanc er", + "ĠRichard son", + "ĠWarri ors", + "6 00", + "Ġdistin ction", + "Ġev il", + "Ġreform s", + "S w", + "ĠA A", + "D I", + "ĠE state", + "Ġcontract s", + "Ġh yd", + "ĠFran ois", + "ĠP ly", + "Ġcomed ian", + "Ġfor ty", + "194 1", + "Ġmiss ile", + "Ġf ib", + "Ġab ilities", + "r h", + "Ġm orph", + "ĠDou g", + "ĠEv angel", + "193 5", + "ĠW or", + "uis ine", + "ĠU z", + "Ġexper iments", + "en i", + "ĠNad u", + "ĠFerdin and", + "ĠInter ior", + "Ġsup plement", + "Ġret iring", + "it ro", + "Ġprogram mes", + "Ġvolunte ers", + "Ġb one", + "iat ric", + "ĠSlov enia", + "p id", + "Ġair line", + "Ġobject ive", + "ĠHe aven", + "Ġbre eding", + "ĠD und", + "ĠQ ing", + "ĠBou levard", + "Ġneighbour hood", + "om es", + "he ro", + "ĠPict ure", + "ge bra", + "a q", + "Ġt one", + "Ġlaws uit", + "Ġprint ing", + "Ġpredomin antly", + "Ġg ap", + "Ġthe sis", + "ĠN acional", + "j oin", + "Ġsp ots", + "p es", + "stan bul", + "Ġrecru ited", + "Ġd rove", + "f ol", + "Ġg rid", + "ĠEug ene", + "Ġtax es", + "Ġdo ctors", + "ĠAnd ers", + "195 3", + "Ġvul ner", + "Ġarr ives", + "ĠT ake", + "Ġf ung", + "ĠK ang", + "Ġimpro vements", + "b eat", + "Ġv ow", + "ĠK ad", + "Ġlo oks", + "ĠGu atem", + "l ay", + "ĠComple te", + "Ġpark ing", + "Ġcolle agues", + "Ġadminist ered", + "Ġathlet ic", + "h is", + "Ġlo op", + "du ces", + "Ġgrad uation", + "Ġas pect", + "fam ilies", + "st s", + "up er", + "Ġvo iced", + "ĠLuther an", + "Ġrat ings", + "Ġdiplom at", + "Ġbeet le", + "ĠCom bat", + "ub b", + "ĠCarol ine", + "ĠAg es", + "Ġacc um", + "Ġlay out", + "Ġc ave", + "ien ne", + "Ġass um", + "ĠG n", + "ĠZ amb", + "ple te", + "m l", + "ric ulum", + "Ġred es", + "ari us", + "ess a", + "Ġtheat rical", + "ĠBrad ford", + "v as", + "Ġsyn onym", + "Ġqu een", + "Ġaut ob", + "Ġhe nce", + "ĠL if", + "ĠH MS", + "193 8", + "Ġa w", + "ĠC andid", + "ra its", + "ĠTour ism", + "ol an", + "Ġfavor ite", + "Ġannounce ment", + "ĠR achel", + "Ġlabor atory", + "Ġgra ve", + "ĠGen us", + "Ġaffili ate", + "b ian", + "ĠAd rian", + "Ġalleg ations", + "h orn", + "ĠCh ase", + "Ġwrest lers", + "ĠS pect", + "le ston", + "Ġas king", + "m al", + "Ġdown load", + "des ignated", + "ĠOther s", + "ĠW orth", + "Ġs ure", + "Ġl ib", + "ĠStaff ord", + "iz a", + "e a", + "Ġor th", + "Ġexpl icit", + "Ġrel ay", + "ard i", + "le ct", + "Ġrap per", + "f ounded", + "ĠM ater", + "ĠP am", + "Ġpro of", + "ĠJenn ifer", + "ĠA I", + "Ġvari ation", + "Ġpat ri", + "he ld", + "ann on", + "Ġd ict", + "Ġret ain", + "offic ial", + "ĠD ig", + "om ar", + "ĠI gn", + "Ġconsist ent", + "Ġch ore", + "che z", + "Ġemploy ee", + "E uro", + "Ġtravel s", + "ar in", + "ĠSim pson", + "Ġpay ment", + "im er", + "ĠRoberts on", + "ĠW ake", + "ĠL ah", + "Ġr iders", + "Ġc ogn", + "ĠAb original", + "ĠW onder", + "Ġfocus ing", + "ou x", + "ĠLoc ation", + "Ġwa iting", + "Ġobl ig", + "j in", + "ap ing", + "it udes", + "Ġfa una", + "ĠS ap", + "Ġst ead", + "ĠCap itol", + "ĠAgric ultural", + "enc ia", + "Ġlo ad", + "ĠLind a", + "Ġgrad es", + "Ġval uable", + "ĠS oci", + "ĠM ing", + "Ġcom mentary", + "ĠSem i", + "ag ram", + "Ġnam ely", + "ĠEngine er", + "ĠHe ath", + "ĠCurt is", + "c io", + "ĠEuro vision", + "Ġceleb ration", + "ber y", + "Ġin hib", + "ĠPl ants", + "194 9", + "al in", + "Ġp unk", + "ĠJ ag", + "Ġsurn ames", + "ĠD ong", + "ĠL av", + "ĠNot re", + "ĠInd ex", + "pl ing", + "ĠRepublican s", + "Ġsax ophone", + "Ġcompris es", + "f n", + "Ġgoal keeper", + "Ġadvoc ate", + "oc ent", + "ĠT rent", + "ĠCor p", + "ĠGib son", + "Ġc ad", + "Ġf lex", + "ist o", + "Ġun ex", + "ĠE g", + "ĠHur ricane", + "ĠDocument ary", + "ĠPresbyter ian", + "Ġspok es", + "Ġinsc ription", + "Ġbusiness people", + "em pl", + "P P", + "Ġunder graduate", + "ear ing", + "Ġneighbor ing", + "ĠInter state", + "u er", + "Ġang le", + "ĠSlovak ia", + "c ity", + "195 2", + "Ġm ilk", + "V A", + "m ount", + "Ġpo ison", + "ĠBat man", + "wid th", + "Ġlab els", + "ĠPresident ial", + "Ġexpl an", + "Ġcommun ist", + "ĠPir ates", + "qu in", + "m ail", + "spe aking", + "Ġb ars", + "ĠH ed", + "19 19", + "195 4", + "aw i", + "Ġf iles", + "Ġqu e", + "ĠPhys ical", + "Ġc ounsel", + "ane ous", + "Ġa ims", + "Ġmur ders", + "Ġso ap", + "Ġrev ival", + "Ġg ift", + "ĠCard iff", + "Ġinter action", + "Ġemphas is", + "hab ilit", + "f ight", + "ĠLiber ation", + "ĠImp act", + "ĠF an", + "Ġchalleng ed", + "Ġd eter", + "Ġalleged ly", + "ĠG an", + "ĠB j", + "Ġed itors", + "Ġfre ight", + "Ġman ip", + "ĠGl enn", + "ĠTr ue", + "194 8", + "Ġunivers e", + "Ġb out", + "Ġt ag", + "Ġpat ent", + "ĠChel sea", + "b et", + "ĠA N", + "ĠPro gressive", + "zy me", + "Ġdial ogue", + "ĠR ac", + "p it", + "ĠBened ict", + "ĠHead quarters", + "ĠF erg", + "ĠMar cel", + "Ġsh ield", + "Ġox ygen", + "E F", + "Ġgeneral s", + "Ġgraph ic", + "ar ity", + "ĠPar agu", + "rand ed", + "ĠC av", + "ĠS ent", + "Ġwrest ler", + "ĠA ra", + "Ġstat ements", + "Ġtrans it", + "Ġtri ple", + "Ġfoss il", + "he nd", + "f eat", + "per t", + "p op", + "ĠL ink", + "ap a", + "ĠW end", + "ĠRoad s", + "Ġcons cious", + "Ġfl ash", + "f in", + "Ġconcept s", + "Ġpre v", + "194 4", + "8 00", + "Ġdet ail", + "Ġwarn ing", + "Ġfunction al", + "Ġdevelop ments", + "ash tra", + "Ġs av", + "ĠG ir", + "ĠV ision", + "Ġto ll", + "S he", + "ess ed", + "Ġj ew", + "ĠCath olics", + "ĠVir t", + "ĠR ican", + "Ġimp ossible", + "Ġdram atic", + "ĠI stanbul", + "H ung", + "ĠBelf ast", + "ĠChem ical", + "ĠCr us", + "Ġreb ounds", + "n ut", + "ĠM t", + "ĠSant os", + "ĠB ot", + "id ance", + "Ġm oll", + "ĠKazakh stan", + "Ġseem ed", + "Ġmain land", + "ĠCr iminal", + "ĠK urd", + "ĠPal m", + "Ġcomp ounds", + "Ġtack les", + "n ai", + "Ġcal endar", + "ere k", + "Ġexact ly", + "Ġexpl ain", + "ond e", + "ĠNe g", + "ĠD w", + "ber to", + "ĠAct iv", + "ĠAcc ount", + "ĠSch olar", + "ctor ate", + "Ġdr inking", + "194 6", + "Ġeng agement", + "k ok", + "Ġel abor", + "Ġb ats", + "ĠLy on", + "m ade", + "ir th", + "195 1", + "Ġexecut ives", + "ĠC ome", + "ĠMidd les", + "ar am", + "Ġmaintain ing", + "on al", + "Ġst ere", + "ct uary", + "ĠE RA", + "og o", + "am med", + "ĠF est", + "Ġarg ues", + "Ġunderw ent", + "ro le", + "Ġans w", + "ĠP ink", + "ch y", + "Ġbroadcast s", + "e ctions", + "Ġen act", + "Ġphilos opher", + "Ġbel t", + "Ġbehav iour", + "L S", + "Ġeditor ial", + "ĠCour se", + "ĠTh under", + "Ġph osph", + "ĠNAS CAR", + "Ġarr ive", + "Ġfif ty", + "ust rated", + "ĠAmer icas", + "ĠDev il", + "ĠEn s", + "in ted", + "Ġd iet", + "clud ed", + "ĠEm my", + "Ġext ends", + "Ġhapp y", + "ĠBed ford", + "ĠOs lo", + "Ġhead quarter", + "ĠCrit ics", + "ĠAm endment", + "build ing", + "ĠN AT", + "193 3", + "ĠM oney", + "ĠRe id", + "Ġimprison ment", + "Ġra id", + "Ġop ens", + "ĠWith out", + "Ġdiv or", + "Ġwar fare", + "ott o", + "Ġf iring", + "ĠAntar ctic", + "ĠP i", + "ĠH oll", + "Ġf aces", + "ĠPre ston", + "Ġimm igration", + "ĠP all", + "Ġsurviv ors", + "Ġl ad", + "O W", + "F ebruary", + "Ġres ource", + "Ġamount s", + "ĠCom b", + "ĠTour ist", + "ĠAgain st", + "ĠK aren", + "ĠAn imal", + "Ġw ars", + "Ġm emor", + "ip zig", + "Ġin g", + "ĠLuxemb ourg", + "ĠL il", + "oun s", + "Ġab und", + "bu ilt", + "Ġholid ay", + "Ġbeat en", + "Ġpres ents", + "Ġmole cular", + "ĠH alf", + "ĠH aven", + "ĠFellow ship", + "Ġreferend um", + "en o", + "Ġ184 5", + "oca ust", + "k ers", + "est rian", + "ro us", + "Ġcolon ies", + "le w", + "Ġspec imens", + "r ill", + "19 22", + "Ġpass ion", + "Ġm as", + "Ġconsum er", + "ID S", + "Ġc ant", + "sh ore", + "ĠC ed", + "ĠU FC", + "he rent", + "ild a", + "ĠB rent", + "Ġper ceived", + "194 7", + "Ġch apters", + "Ġaf ternoon", + "uch y", + "ĠD oll", + "Ġc ow", + "ch ard", + "ĠPat ric", + "Ġsign als", + "ĠAlger ia", + "ĠR iv", + "Ġf abric", + "Ġprep are", + "Ġse gments", + "ĠBurn s", + "ĠE in", + "he ng", + "ang o", + "asc ar", + "Ġsh arp", + "Ġprogress ive", + "ĠB A", + "Ġs ick", + "ĠUtt ar", + "t es", + "Ġtravel ing", + "ĠT ales", + "Ġ ).", + "ĠDisc overy", + "te chn", + "ĠV ij", + "Ġwill ing", + "19 29", + "ĠO pt", + "im m", + "ing le", + "ĠK ann", + "12 2", + "Ġgl ac", + "ĠOrgan izations", + "Ġd iversity", + "Ġcult ures", + "Ġsuccess ion", + "ĠEx cell", + "Ġhand ed", + "l as", + "ĠCorn ell", + "Ġaccommod ate", + "Ġm aid", + "ĠL ists", + "ĠC ut", + "ĠL ip", + "omet own", + "ĠPrim era", + "ĠA FL", + "ber ger", + "Ġperform ers", + "is le", + "ĠFed er", + "ĠSe oul", + "ĠLuc y", + "Ġj ail", + "ĠP ere", + "ĠAdvent ures", + "Ġor b", + "193 4", + "Ġfor cing", + "stad t", + "Ġact ively", + "add y", + "ass y", + "Ġperman ently", + "ĠEm il", + "Ġ7 00", + "Ġeffic iency", + "ĠMil ton", + "ĠV isc", + "ĠC any", + "amm ad", + "ĠTri p", + "Ġgraph ics", + "ĠLyn n", + "M D", + "ĠK yle", + "ĠK ot", + "ĠEd gar", + "ĠS ed", + "ĠAdminist rative", + "Ġreview ed", + "h urst", + "Ġimpro vement", + "qu est", + "ĠAndre a", + "ĠBas il", + "ĠNew sp", + "Ġassess ment", + "Ġprison er", + "Ġsus pected", + "Ġext ending", + "ĠBur ton", + "in ts", + "Ġsc andal", + "ĠD istricts", + "Ġprovision s", + "Ġinvestig ate", + "ĠTreat ies", + "19 14", + "ĠFras er", + "Ġhard ware", + "Ġn a", + "ĠI g", + "Ġprevent ed", + "mun ition", + "Ġ10 5", + "ĠBe yond", + "im mer", + "ay e", + "ĠC ly", + "ĠL ap", + "p iece", + "ĠJohn s", + "i w", + "Ġalt itude", + "ĠG am", + "Ġcont ribute", + "ĠExam ples", + "Ġor ange", + "ĠLett ers", + "Ġcap ita", + "ĠEst abl", + "ĠH els", + "ĠGust av", + "Ġ18 12", + "ĠF antasy", + "Ġread ers", + "ĠMar ian", + "ic ul", + "ĠW it", + "Ġcut ting", + "Ġpresent er", + "Ġpresent ation", + "re ne", + "ĠV ale", + "Ġt ram", + "c ats", + ". ;", + "Ġt ru", + "Ġgu ards", + "Ġs ending", + "ĠYan kees", + "u h", + "Ġship ping", + "ĠH ost", + "ĠWag ner", + "Ġnumber ed", + "str ument", + "Ġaff ord", + "atri ates", + "Ġin tern", + "ow ing", + "ĠRes p", + "Ġeduc ator", + "ĠHug o", + "Ġc raft", + "ĠL odge", + "et own", + "im p", + "Ġachie vements", + "Ġrefle cted", + "ĠK aw", + "ri er", + "f bb", + "Ġconvin ced", + "ĠGael ic", + "Ġput ting", + "Ġrebell ion", + "ĠBud apest", + "Ġtrans form", + "Ġ12 5", + "f ive", + "ĠTh an", + "ĠTrin idad", + "Ġte eth", + "oc hem", + "Ġbur ial", + "Ġaddress ed", + "ĠG es", + "v ity", + "ĠMar ion", + "Ġal ien", + "com mon", + "Ġpres erve", + "Ġconfl icts", + "ĠAber de", + "Ġfam iliar", + "Ġas k", + "Ġbo ards", + "Ġ13 0", + "ett es", + "ĠRoche ster", + "Ġpost er", + "Ġ183 7", + "Ġconf ront", + "m ant", + "Ġstation ed", + "ad ors", + "Ġ183 9", + "Ġoper ators", + "bo oks", + "ĠGene va", + "Ġmyth ology", + "Ġsol utions", + "Ġexam ination", + "ber n", + "Ġsail ing", + "Ġthere by", + "Ġcounter part", + "qu al", + "ipe g", + "an che", + "Ġfl our", + "ĠEthiop ia", + "Ġdies el", + "o il", + "ĠC anton", + "Ġsh ots", + "ĠP aper", + "Ġor g", + "ĠA th", + "Ġinter vention", + "Ġt ip", + "Ġrel ie", + "Ġrenew ed", + "Ġadminist rator", + "il ion", + "ch air", + "Ġcitizens hip", + "iment al", + "Ġ1 17", + "ĠV it", + "ĠK iss", + "ce ased", + "Ġex it", + "Ġdiscrim ination", + "Ġth rew", + "Ġleg it", + "ĠNever theless", + "Ġemp ire", + "Ġt ape", + "st ance", + "ĠElect ronic", + "ĠL ed", + "A f", + "ĠColomb ian", + "ist le", + "ĠH ern", + "Ġess entially", + "Ġd ogs", + "ĠMc Donald", + "ĠC os", + "Ġb rew", + "Ġevent ual", + "Ġthir teen", + "Ġnot ing", + "ĠAg re", + "ĠD ew", + "d an", + "Ġt ube", + "ut o", + "ĠMax im", + "ĠSher iff", + "ĠAdvis ory", + "ĠBir th", + "ĠWes ley", + "ĠM ob", + "ĠMar l", + "194 3", + "Ġprot otype", + "m ology", + "ic ism", + "ĠMy an", + "Ġt issue", + "Ġc hest", + "Ġm emb", + "ĠRe y", + "Ġnom inee", + "ĠR T", + "C ent", + "Ġp m", + "Ġend ings", + "st ock", + "ĠD arl", + "Ġdem anded", + "a uthor", + "ĠAlb any", + "th at", + "Ġcrop s", + "ĠS M", + "Ġre verse", + "Ġre ward", + "Ġgovern ing", + "Ġjud icial", + "ĠSing er", + "ic ular", + "ĠGl obe", + "pro duced", + "ĠWed nes", + "ĠReyn olds", + "c ock", + "Ġexper ts", + "iab ility", + "Ġdisc overs", + "Ġlif etime", + "ĠConstant in", + "Ġpack age", + "st op", + "ah u", + "ĠSerge ant", + "er ts", + "ĠPly mouth", + "ĠEll en", + "ator ies", + "ĠH off", + "ĠCar roll", + "Ġfriend ship", + "Ġconstru ct", + "s u", + "ster ious", + "ĠCon stitu", + "ĠI z", + "Ġinterest ing", + "ĠR az", + "ĠBe ver", + "oy le", + "Ġrequ iring", + "Ġcon ferences", + "g ang", + "193 2", + "t or", + "ĠB alk", + "Ġg aining", + "h ra", + "ĠBright on", + "ĠSh ore", + "ig ate", + "ĠC e", + "Ġpl ates", + "Ġfor th", + "ĠB end", + "Ġspecial ist", + "ĠC eleb", + "h art", + "Ġcompris ing", + "Ġtorn ado", + "Ġpsych ological", + "ch in", + "ĠRif le", + "Ġsh orter", + "if ax", + "ĠSt ore", + "] .", + "ĠAm b", + "arm s", + "col m", + "Ġh o", + "Ġg host", + "og g", + "Ġdel iber", + "Ġp ill", + "ĠJ i", + "Ġind oor", + "n on", + "Ġre de", + "Ġtas ks", + "ab out", + "ĠD S", + "Ġbreak s", + "B rien", + "ad m", + "ĠMyan mar", + "ins k", + "ĠJer emy", + "Ġdem ocracy", + "Ġinf ection", + "Ġf aster", + "h ou", + "Ġord inary", + "ĠCh uck", + "e ff", + "enz ie", + "l ined", + "pec ies", + "t z", + "Ġf ame", + "Ġex ile", + "ĠM aid", + "ak ov", + "Ġw elfare", + "Ġlocal ities", + "ĠJes se", + "ĠPl aza", + "ĠUs ing", + "Ġint ense", + "Ġd ancing", + "Ġper pet", + "ĠD ow", + "Ġst ored", + "ĠB ord", + "Ġfort ress", + "Ġ184 4", + "Ġex port", + "193 1", + "found land", + "Ġcomput ers", + "Ġcrit eria", + "Ġb orrow", + "Ġrepeated ly", + "ĠP s", + "ibl ings", + "alt ies", + "ne z", + "ist ent", + "ĠA B", + "re ated", + "Ġsh rub", + "Ġdispl ays", + "ĠS pl", + "L ove", + "Ġdesign ers", + "Ġ1 18", + "Ġswim mers", + "cest ershire", + "ĠOffic ers", + "Ġeng age", + "l ived", + "Ġtele phone", + "ĠRos a", + "Ġren owned", + "ĠVari ous", + "aw s", + "ĠMuseum s", + "ĠAl pha", + "ĠTest ament", + "ĠSac ram", + "Ġport ions", + "Ġimm un", + "pe z", + "Ġinteg ration", + "ĠCh al", + "ĠNob el", + "ĠLeban ese", + "Ġ u", + "ĠWinn ipeg", + "Ġp ir", + "Ġdiv orce", + "Ġpost hum", + "oc he", + "ĠB ody", + "Ġo w", + "Ġcut s", + "Ġequ ation", + "Ġw arri", + "19 28", + "Ġreb els", + "Ġrock et", + "ĠSpring field", + "Ġ183 8", + "Ġlibr aries", + "ĠMc N", + "et es", + "Ġproced ures", + "kins on", + "Ġsurre nder", + "atter y", + "Ġl oyal", + "Ġdi ocese", + "19 27", + "ĠP engu", + "Ġco ffee", + "Ġo v", + "g reen", + "ĠH ack", + "U SA", + "ĠAchie vement", + "c s", + "Ġf isher", + "Ġcl ay", + "ĠP ine", + "G O", + "ĠSil va", + "Ġsim ilarly", + "anc a", + "Ġgener ations", + "Ġlist en", + "Ġfour teen", + "l ore", + "at aka", + "Ġserv ant", + "Ġs weet", + "Ġappl ic", + "Ġindepend ently", + "ĠBC E", + "ĠLouis ville", + "r g", + "Ġfew er", + "ĠL omb", + "ĠBarn es", + "ĠA way", + "ia z", + "Ġw ish", + "c al", + "Ġun ve", + "Ġ15 00", + "ell ers", + "Ġhand ling", + "Ġcr ashed", + "ad al", + "Ġman ages", + "Ġtarget ed", + "Ġkill s", + "unn ers", + "Ġserious ly", + "Ġrec ipients", + "Ġprom ised", + "ay ette", + "unt ary", + "Ġvari ations", + "ĠG row", + "ĠD il", + "Ġcommit ment", + "W in", + "ĠStr ong", + "attal ions", + "ĠParalymp ic", + "Ġw al", + "ĠMat hematics", + "Ġbe am", + "ĠCarl o", + "Ġk ings", + "com p", + "ĠLad ies", + "ĠN in", + "Ġch orus", + "l ic", + "Ġexp atriates", + "Ġmy stery", + "ĠWind sor", + "ĠS isters", + "ĠPubl ishers", + "ĠLe ipzig", + "ĠHol ocaust", + "Ġmoder ate", + "ĠCany on", + "Ġsit uations", + "ĠS D", + "Ġvarian ts", + "Ġadvis or", + "at um", + "Ġor bit", + "ĠD ud", + "ĠIS O", + "ĠJam ie", + "h ops", + "Ġsur prise", + "Bl ack", + "ĠCamer oon", + "Ġhand le", + "Ġceleb rate", + "ĠCl aude", + "Ġprofession als", + "Ġwas n", + "Ġbelief s", + "v ae", + "ĠRoman ized", + "ĠC rystal", + "ĠA ven", + "Ġn est", + "ĠBas in", + "ĠC ros", + "ĠA part", + "Ġel ite", + "ĠBor is", + "Ġunderst ood", + "d istance", + "an ian", + "w ord", + "Ġover l", + "Ġfall en", + "phab et", + "ed e", + "ire ct", + "re a", + "ĠCo hen", + "fort un", + "op rano", + "Ġem pty", + "f fer", + "Ġnational ly", + "Ġp ub", + "ĠC B", + "ĠBol ivia", + "rec ord", + "Ġare na", + "Ġl ights", + "ĠH ood", + "Ġc ir", + "Ġ18 20", + "ĠRos en", + "ĠS uk", + "Ġv in", + "Ġ184 1", + "Ġthreat s", + "ĠInspe ctor", + "ĠV iv", + "Ġdra in", + "ĠLe vel", + "ĠCont in", + "Ġcl ients", + "que z", + "ĠN urs", + "ĠN u", + "ĠKenn y", + "Ġse ized", + "ĠN uclear", + "et ics", + "ĠE du", + "Ġcirc ulation", + "ĠJo el", + "Ġrevolution ary", + "art z", + "Ġdeal ing", + "Ġent ries", + "p arent", + "s ized", + "Ġman ual", + "ĠE ve", + "Ġconf used", + "ĠFerg us", + "Ġst olen", + "ĠMorris on", + "Ġresear cher", + "S te", + "Ġbi ology", + "im an", + "d ing", + "Ġconsult ant", + "ĠMaced onia", + "Ġl iver", + "Ġhoriz ont", + "ĠMin ne", + "ĠUrugu ay", + "ĠEll iott", + "up e", + "ĠJul ius", + "ĠN ico", + "ak k", + "ĠLanc aster", + "am as", + "Ġf irms", + "Ġsever ely", + "Ġsix teen", + "Ġcl ient", + "ĠJ ake", + "19 25", + "ĠM ats", + "ia e", + "Ġ184 3", + "ser ver", + "Ġcan cel", + "ĠVers ion", + "Ġopt im", + "ĠMal colm", + "ĠMad ag", + "Ġtri o", + "viron ments", + "Ġsusp ic", + "Ġup coming", + "Ġadvert is", + "Ġrece iver", + "Ġto ler", + "s ize", + "Ġon wards", + "ĠDe put", + "ĠP ret", + "Ġen roll", + "ĠH IV", + "Ġliter acy", + "Ġh ometown", + "M e", + "a que", + "S I", + "Ġobserv ation", + "Ġun p", + "ph ant", + "Ġbr ings", + "ip her", + "ĠCh oice", + "Ġflo ors", + "Ġsk ill", + "L ondon", + "ĠMur der", + "he y", + "ĠSpe aker", + "Ġm all", + "ĠNew foundland", + "amb a", + "or ient", + "Ġinter face", + "Ġh ole", + "ĠMar co", + "ĠMar tha", + "pr ises", + "ĠF ur", + "ĠUS SR", + "cha ft", + "ĠM s", + "et z", + "ĠTh urs", + "Ġau ction", + "ipl oma", + "ĠV III", + "Ġover lo", + "Ġpun ishment", + "% ),", + "Ġen zyme", + "uls ion", + "ĠShe n", + "ĠS ag", + "ĠKh al", + "Ġlect urer", + "Ġc oc", + "ĠK end", + "ĠW C", + "Ġbe ars", + "ust ers", + "ĠDor othy", + "ri um", + "Ġr ally", + "B ig", + "ĠRe in", + "N P", + "ĠPres idents", + "Ġrad iation", + "Ġw ore", + "ĠBeet les", + "Ġco ord", + "put ed", + "j iang", + "Ġcondu cting", + "Ġsurv ival", + "ograph ies", + "orm al", + "ic i", + "ato es", + "f ootball", + "ĠL ay", + "p ublic", + "Ġaccur ate", + "Ġpre fer", + "Ġcan on", + "ĠBur ke", + "Ġprof it", + "Ġsh ifted", + "ĠHar bour", + "Ġident ification", + "Ġpriv ile", + "uc a", + "ĠB order", + "ĠUnd erg", + "ĠIn stitution", + "Ġ183 6", + "ĠNapole on", + "Ġvolunte er", + "Ġpot entially", + "ĠHein rich", + "Ġmon uments", + "ĠSol o", + "ĠT ow", + "ĠNAT O", + "v iv", + "ĠCar ne", + "ing o", + "he v", + "Ġfollow ers", + "ĠML B", + "ar ag", + "Ġb ord", + "be ck", + "Ġgen es", + "ĠInd oor", + "ĠG em", + "Ġprot agonist", + "s ites", + "Ġhelic opter", + "et i", + "Ġc uisine", + "Ġfind ings", + "ĠArsen al", + "h alf", + "Ġ183 5", + "Ġpra ise", + "ĠV oc", + "Ġex ha", + "Ġsign ature", + "ĠN ass", + "Ġachie vement", + "Ġreal ized", + "yl an", + "ĠLear ning", + "Ġcolon el", + "ĠTasman ia", + "19 26", + "Ġch ronic", + "Ġdoctor ate", + "ĠF en", + "ĠR ica", + "Ġrel atives", + "Ġstream s", + "ĠJane iro", + "ĠBo eing", + "ĠVis ual", + "Ġtow ers", + "Ch rist", + "yl um", + "ĠE ye", + "lin ary", + "ĠM ile", + "19 17", + "ĠP oints", + "am ine", + "Ġm ail", + "Ġunivers al", + "ĠEd win", + "ĠL ines", + "ĠW A", + "ĠAle ks", + "I F", + "ros cop", + "Ġc osm", + "ĠNap les", + "ym ph", + "Ġno ise", + "onom ic", + "Ġport s", + "c ap", + "ĠW eather", + "Ġcre ates", + "ĠGram mar", + "Ġa est", + "ĠMon ument", + "T T", + "h or", + "ĠHeavy weight", + "ĠS earch", + "ĠDay ton", + "im on", + "E n", + "Ġep it", + "ĠS O", + "Ġlight ing", + "Ġw aves", + "ĠWork ing", + "ĠErn st", + "histor ic", + "19 21", + "omot ive", + "ĠF ant", + "ag ne", + "min ton", + "ĠHal ifax", + "ĠNE AT", + "ĠAT P", + "g io", + "ĠW ick", + "ĠStef an", + "Ġflu id", + "Ġenl isted", + "ĠG ul", + "Ġv oyage", + "Ġpre liminary", + "ul ine", + "ol ith", + "ĠIn side", + "os ing", + "pro duction", + "Ġmer c", + "Ġsup press", + "Ġadj ust", + "Ġneighbour ing", + "Ġrequire ment", + "h tt", + "ĠU m", + "19 24", + "Ġh ind", + "19 23", + "Ġscreen writer", + "Euro pe", + "Ġens emble", + "pr int", + "Ġ184 2", + "Ġment ions", + "Ġsepar ation", + "Ġsym met", + "ug a", + "b ey", + "ount ain", + "ĠD id", + "all i", + "ar re", + "Ġ( '", + "sh an", + "ĠL enn", + "ĠChief s", + "ĠBang kok", + "ĠT in", + "Ġpar ishes", + "ĠCraw ford", + "ĠR he", + "ĠMan or", + "Ġcongress ional", + "isc al", + "ĠAdvent ure", + "Ġ183 2", + "clus ive", + "Ġmission ary", + "Ġdecre ase", + "Ġdivor ced", + "Ġgr ants", + "ĠAn alysis", + "K A", + "Ġbar rel", + "rid or", + "ĠDeput ies", + "ĠNS W", + "ĠI BM", + "Ġfarm s", + "ĠFact ory", + "ĠPart icip", + "ĠC yp", + "ĠIs ab", + "Ġheadquarter ed", + "Ġvo ices", + "Ġb are", + "Ġl ie", + "Ġmagn etic", + "Ġant icip", + "rit z", + "Ġcongreg ation", + "Ġn aming", + "id ay", + "ĠG ol", + "ch ron", + "ĠChe ng", + "ĠK oh", + "Ġdevelop er", + "Ġrele asing", + "arch ived", + "ĠDire ctors", + "op hers", + "ĠM ick", + "Ġs unk", + "Ġjournal ism", + "Ġtorped o", + "ian e", + "Ġp ush", + "W orld", + "m ember", + "Ġb icy", + "ĠTheod ore", + "ĠW on", + "ĠAst ron", + "Ġst roke", + "Ġrec ruit", + "Ġo d", + "ĠD iana", + "in ia", + "ae a", + "Ġperson ally", + "c over", + "Ġsoutheast ern", + "ĠC and", + "Ġrain fall", + "ĠMadag ascar", + "Ġmat rix", + "ĠEd ge", + "Ġst eal", + "ĠG ott", + "ĠL ords", + "Ġaud iences", + "ĠStr ateg", + "F rance", + "Ġconsid ering", + "Ġfar mer", + "st age", + "ĠRh ine", + "s ar", + "ĠK ids", + "Ġcons ort", + "Ġdepos its", + "publ ished", + "reg ular", + "Ġline up", + "le igh", + "Ġencoura ge", + "Ġdisappe ared", + "Ġmanuscript s", + "Ġexplos ion", + "Ġpregn ant", + "ĠAr ms", + "ĠBal let", + "Ġhe m", + "re z", + "ri ans", + "ĠBul ld", + "ĠA L", + "Ġinhab ited", + "Ġprest igious", + "az ar", + "pt iles", + "Ġdraw ings", + "Ġs iblings", + "ĠBav aria", + "ĠT ank", + "el ong", + "ĠCol ony", + "ĠMon roe", + "ĠW ings", + "Ġor al", + "ĠD ir", + "ĠUl ster", + "Ġord ained", + "Ġcontest ants", + "ĠP ars", + "ĠHay es", + "Ġex terior", + "ĠSpeed way", + "W ill", + "Ġf ru", + "Ġre venge", + "ĠJul ie", + "Ġanch or", + "Ġdepend ent", + "ĠHous ing", + "Ġqu iet", + "Ġelect ro", + "Ġaut umn", + "d istrict", + "ĠSab ha", + "FF FF", + "ĠChar ter", + "g rand", + "Ġpurs ued", + "um ped", + "Ġcal c", + "ir ie", + "art e", + "ĠBeng ali", + "Ġst ones", + "Ġregist ration", + "Ġt ale", + "ĠRich ards", + "ord inary", + "ĠRab bi", + "B r", + "Ġremember ed", + "man s", + "Ġsuggest ing", + "ĠMahar ashtra", + "v card", + "ĠG av", + "Ġstre ak", + "ĠRecord ings", + "ĠU A", + "es ar", + "ĠB rom", + "Ġshel ter", + "Ġtro uble", + "Ġst aged", + "Ġdram at", + "Ġmix ture", + "ĠSch ol", + "Ġgar rison", + "D E", + "Ġaer ial", + "Ġtrans formed", + "ĠM LA", + "ard e", + "Ġimpro ving", + "y ch", + "Ġrest ore", + "ou rag", + "Ġw ickets", + "Ġupgrad ed", + "Ġden omin", + "ĠN em", + "Ġdest ination", + "Ġmess ages", + "ĠTer ror", + "l ass", + ". ).", + "Ġen able", + "ĠR up", + "ĠAr ctic", + "Ġgu idance", + "F rench", + "Ġab bre", + "Ġc ens", + "all a", + "Ġex chang", + "Ġautom atically", + "ĠO le", + "ĠCommun ication", + "h anded", + "enn ium", + "Ġen abled", + "Ġencounter ed", + "Ġob sc", + "Ġa ster", + "Ġas h", + "ĠAlexand ria", + "P M", + "ern er", + "st ore", + "ĠF BI", + "ĠD atabase", + "Ġwithd rawn", + "ĠM oss", + "Ġinter im", + "ĠSebast ian", + "ast ed", + "or ers", + "ĠGeor ges", + "s ince", + "Ġdub bed", + "Ġcritic ised", + "ĠP ione", + "Ġd anger", + "Ġrecogn ize", + "ĠAnn ie", + "Ġinter mediate", + "Ġconf idence", + "ĠGrad uate", + "ĠKos ovo", + "th ree", + "Ġl aps", + "Ġlob by", + "Ġent ity", + "Ġin sects", + "ĠLog an", + "Ġm igration", + "Ġham let", + "ĠLead ership", + "ĠSte phan", + "Ġalgorith m", + "ĠStre ets", + "pr ing", + "Ġk nee", + "Ġinvest ors", + "Ġsen ators", + "ĠC osm", + "ĠMinne apolis", + "Ġkit chen", + "ĠArchae ological", + "ĠWol ver", + "Ġc otton", + "ĠCD P", + "Ġnation wide", + "il us", + "ĠCh o", + "ĠFl ag", + "rac use", + "Ġl eng", + "ĠL af", + "Ġt ut", + "ĠCon stitutional", + "Ġper former", + "ĠI de", + "ĠBe a", + "Ġpan els", + "Ġbank ing", + "ĠC H", + "Ġr ivals", + "G N", + "ĠV olleyball", + "g overnment", + "ĠCh am", + "ĠProte cted", + "ĠPh arm", + "Ġw reck", + "ĠBe ing", + "Ġdem ocratic", + "mid t", + "ĠSt yle", + "Ġgirl friend", + "let te", + "Ġam munition", + "Ġsp an", + "ĠI N", + "nt on", + "Ġg arn", + "Ġnortheast ern", + "t ico", + "app a", + "ĠMerc ury", + "Ġ{{ |", + "ĠH il", + "ĠCl ara", + "Ġstream ing", + "ĠS ail", + "Ġh ier", + "Ġder iv", + "l is", + "Ġc odes", + "opter a", + "' )", + "Ġ10 2", + "ĠBo hem", + "Ġ10 3", + "Ġshe et", + "Ġjoin s", + "ol ine", + "Ġver te", + "ĠB erm", + "Ġam pl", + "ĠTw in", + "ĠMontene gro", + "Ġvar ied", + "ch urch", + "Ġpract ition", + "Ġclos est", + "ĠY emen", + "Ġsem ifinals", + "ard ed", + "Ġl ung", + "bass adors", + "ur an", + "ĠKn ox", + "ĠPant hers", + "h ad", + "ĠR out", + "imens ions", + "s l", + "ĠFoot notes", + "2 50", + "c ribed", + "ĠPro ducer", + "ĠSte am", + "ĠI TV", + "ĠL ut", + "b oth", + "Ġhon ored", + "ĠVict ory", + "ĠO st", + "Ġpreserv ation", + "Ġmain tains", + "Ġp ink", + "ĠAgre ement", + "Ġsubs pecies", + "s elling", + "ĠGen eration", + "Ġh ung", + "Ġo ct", + "Ġpup ils", + "ĠC it", + "Ġh ub", + "ĠO S", + "ĠReg ulations", + "Ġst ability", + "Ġru ins", + "Ġwe aken", + "gr im", + "Ġconj unction", + "ĠSouth west", + "C ar", + "ĠS it", + "Ġinv ented", + "Ġown s", + "ĠZ en", + "ĠU se", + "Ġp ond", + "Ġball ot", + "ĠAd olf", + "ĠV at", + "Ġcons ent", + "air y", + "ĠAl g", + "ĠMad h", + "im i", + "ĠM BA", + "ĠPorts mouth", + "ĠLeic ester", + "ĠC ool", + "in ite", + "Ġpres idency", + "Ġte a", + "Ġs hed", + "ĠR id", + "ĠL ars", + "ace ous", + "Ġim posed", + "Ġacadem ics", + "ain es", + "ath am", + "ĠBl u", + "fl ies", + "ĠF ast", + "Ġtransport ed", + "ĠT ru", + "Ġsw ord", + "Ġabs ent", + "ĠK ind", + "Ġacc eler", + "ĠJohn ston", + "Ġflower ing", + "Ġterrit orial", + "c ourt", + "it ely", + "Ġafter math", + "ĠMed ieval", + "ink i", + "ĠM ail", + "Ġflood ing", + "y g", + "Ġl ux", + "ĠR um", + "Ġnob ility", + "ĠCle ment", + "Ġinter act", + "ĠTel ugu", + "ier i", + "ch ant", + "Ġlect ures", + "Ġauthor ized", + "Ġc ock", + "ĠH ert", + "Ġre actions", + "art en", + "ĠN iel", + "ĠBes ides", + "Ġmotor cycle", + "Ġreve al", + "han ced", + "Ġest ates", + "Ġcon sec", + "Ġart if", + "w yn", + "Ġmin imal", + "ĠR oh", + "ĠCh ancellor", + "Ġhop ed", + "ĠY osh", + "Ġthe olog", + "ĠRaj a", + "Ġlearn s", + "Ġtop ped", + "ĠS ki", + "por a", + "ĠRec re", + "ĠRaid ers", + "ay ers", + "i ade", + "can ic", + "ĠF oss", + "Ġ14 0", + "Ġb inding", + "Ġen vironments", + "b est", + "ĠB ac", + "Ġfer ry", + "ment ed", + "Ġsequ ences", + "Ġ202 4", + "Ġmult ipl", + "Ġexp anding", + "Ġf ran", + "G P", + "ĠS ara", + "Ġrecon struction", + "ĠKarn ataka", + "Ġhost ing", + "ĠV eh", + "ĠNorth ampton", + "ĠL ob", + "Ġde als", + "ĠWW E", + "ĠD erek", + "Ġro bot", + "ĠK och", + "Ġrom ance", + "Ġal tered", + "Ġent r", + "ĠM ake", + "ĠEmer gency", + "ĠF alk", + "ow der", + "Ġj et", + "ĠUlt imate", + "Ġcl oud", + "ĠTanz ania", + "Ġsymb ols", + "Ar t", + "elect ric", + "Ġstri king", + "is i", + "Ġh az", + "g as", + "Ġs ky", + "Ġdanc ers", + "Ġf atal", + "Ġs in", + "Ġm ast", + "ĠF ont", + "Ġenh ance", + "un al", + "ĠY a", + "ĠTh ames", + "Ġbass ist", + "Ġper mit", + "ot ten", + "Ġdepict ing", + "Ġsudden ly", + "an ing", + "ĠSy racuse", + "Ġmass acre", + "Ġsl avery", + "Ġsh aped", + "Ġacqu ire", + "Ġarch ive", + "Ġconcent rated", + "! ,", + "e u", + "ass ic", + "Ġd uration", + "v ideo", + "Ġread s", + "Ġep id", + "at as", + "Ġmer ely", + "ĠS ister", + "Ġper m", + "Ġdel ay", + "Ġsurre nd", + "m ons", + "Ġpriv ately", + "ĠJ orge", + "B rit", + "ĠGar ca", + "Ġmut ual", + "Ġaver aged", + "Ġdist urb", + "ĠN one", + "ĠSuper ior", + "Ġf rog", + "r ina", + "rest rial", + "ĠSem inary", + "flu ence", + "ĠSuff olk", + "uv ian", + "ĠAut om", + "Ġdeep ly", + "Ġwa it", + "ĠCoal ition", + "ĠB ren", + "field s", + "ne um", + "ĠRet rieved", + "ĠC i", + "Ġmus cle", + "ĠW aters", + "ĠChem istry", + "Ġfem inist", + "ĠR as", + "id an", + "ĠDou bles", + "as ium", + "ĠBel le", + "ĠL it", + "Ġcab in", + "ĠChar leston", + "ĠWal sh", + "Ġinter actions", + "ĠR oth", + "ĠGre ene", + "Ġreleg ation", + "Ġp icks", + "Ġdoub t", + "ĠQ atar", + "Ġtre as", + "ĠS F", + "w alk", + "oc ity", + "ĠM ikh", + "ak o", + "em i", + "Ġsm art", + "ĠPap ua", + "ĠBet ty", + "ĠM ant", + "Ġmilit ia", + "ĠE y", + "Ġtheore m", + "ĠC ul", + "stro ke", + "Ġacknowled ged", + "ĠPro s", + "Ġeng ra", + "ĠAg u", + "ighth ouse", + "ĠPro cess", + "Ġmonitor ing", + "Ġpod cast", + "ĠS ard", + "ĠDod gers", + "in is", + "Ġmet ab", + "Ġcreat or", + "if iers", + "abl o", + "w en", + "h as", + "Ġtrav elling", + "T o", + "Ġhand ball", + "ĠBrown s", + "Ġsouth western", + "ĠBrun o", + "Ġ10 4", + "Ġfair ly", + "ĠB ene", + "ĠC airo", + "ver ted", + "Ġemer ging", + "th ouse", + "Ġpol o", + "en ic", + "ĠIn st", + "ĠIn iti", + "Ġguitar ists", + "Ġcust omer", + "ĠS ib", + "Ġd ors", + "ĠMe yer", + "ĠSof ia", + "ĠW r", + "Ġind eed", + "k m", + "ĠL al", + "op ing", + "ĠCount ies", + "Ġcomp act", + "Ġra pe", + "ĠLat via", + "utt le", + "ĠA u", + "at ro", + "ĠGl ac", + "ĠBre nd", + "au f", + "igg s", + "ĠWednes day", + "Ġfinal e", + "ĠS ind", + "pent er", + "Ġar bit", + "d em", + "im ony", + "ĠR C", + "ĠAltern ative", + "Ġcons ensus", + "Ġfa ction", + "ĠH ydro", + "ĠD ate", + "j ud", + "er os", + "ĠRober to", + "W C", + "ĠRe ver", + "Ġhead ing", + "M al", + "ĠTh ings", + "Ġmission aries", + "Ġrebu ild", + "er ic", + "ĠY uan", + "Ġtop ic", + "ĠDra ke", + "it ory", + "ĠIn teg", + "ĠEnter prise", + "ĠNew man", + "ĠN ed", + "head ed", + "ĠFor bes", + "ur ai", + "Ġcul min", + "inn ed", + "Ġ10 6", + "ĠRock y", + "velop ed", + "Ġtransl ator", + "Ġshe ep", + "Ġpersonal ities", + "wa it", + "ĠBundes liga", + "ĠY ar", + "Ġvin yl", + "Ġsup porter", + "r ud", + "ill ance", + "Ġfor b", + "Ġd ock", + "ble m", + "ĠF resh", + "Ġin clusion", + "ĠLyn ch", + "en ess", + "ĠD awn", + "w ind", + "ĠSh an", + "Ġattra ction", + "Ġvari eties", + "Ġcondem ned", + "Ġpre y", + "ĠGriff ith", + "ĠMoh ammad", + "oc es", + "Ġfe els", + "Ġthe ology", + "ro up", + "ĠSen ators", + "Ġst ick", + "g ae", + "ĠBuddh ism", + "Ġv ital", + "ra k", + "ĠWill ie", + "d imensional", + "Ġsc ar", + "19 16", + "ĠT H", + "Ġfurn iture", + "oph on", + "Ġcar ved", + "ĠBas el", + "R oman", + "Ġb read", + "Ġthe or", + "Ġpr ayer", + "o ine", + "S E", + "al us", + "Ġun em", + "Ġinaug urated", + "ĠSh i", + "Ġbatt ing", + "p ath", + "ĠQu in", + "om ical", + "b ad", + "Ġexpl oration", + "ĠB agh", + "ĠPro gress", + "Ġch lor", + "ĠN orton", + "Ġmom ents", + "oc y", + "Ġdev ast", + "Ġb ore", + "W hen", + "Ġfl ora", + "ĠT C", + "ile e", + "ĠSound track", + "N orth", + "ĠH appy", + "Ġbe aring", + "Ġhapp en", + "Ġtra ff", + "Ġshould er", + "J ew", + "idel ines", + "Ġstory line", + "Ġp ump", + "Ġsac rif", + "ĠChron icle", + "Ġrecept or", + "ĠIndust ries", + "pol it", + "un ted", + "os ystem", + "Ġren ovation", + "omin ated", + "Aust ral", + "Ġh ull", + "Ġcirc ular", + "ab ul", + "um en", + "Ġcompens ation", + "Ġshall ow", + "en ary", + "Ġassass ination", + "ĠBl air", + "Ġmans ion", + "ĠC ock", + "ĠB ishops", + "ĠSupport ing", + "oc ate", + "Ġ183 4", + "hold er", + "pl ane", + "Ġproceed ed", + "ĠInd o", + "Ġhur ricane", + "g ender", + "Ġpar as", + "s an", + "Ġcolle cting", + "ĠM are", + "Ġcr im", + "Ġac claim", + "ĠRaf ael", + "Ġcons piracy", + "ĠLank an", + "ĠL ing", + "ĠVenezuel an", + "ĠSax ony", + "ĠCub s", + "any a", + "he art", + "ĠGu est", + "Ġhydro gen", + "The re", + "SC O", + "Ġbox er", + "ĠHer oes", + "ĠG raph", + "Ġr idge", + "c ur", + "ĠFrances co", + "Ġdis orders", + "ro b", + "est e", + "Ġf ate", + "ĠIm pro", + "Ġ ic", + "pe i", + "Ġback ed", + "cles iast", + "is ers", + "Ġscreen play", + "Ġinterpre ted", + "Ġpract iced", + "Ġc anton", + "ĠJosh ua", + "F ran", + "Ġhom osexual", + "10 2", + "che m", + "an or", + "ell ar", + "ĠBra ves", + "Ġkill er", + "Ġ3 60", + "Ġgod dess", + "ĠAberde en", + "Ġexpl ore", + "Ġv aries", + "Ġstri kes", + "ĠId ent", + "ĠAtl tico", + "ĠMunicipal ities", + "Ġreg iments", + "ĠD ylan", + "Ġcol ours", + "ĠRed s", + "v ie", + "ĠSol ar", + "Ġover w", + "Ġpros per", + "Ġal gebra", + "fl ix", + "Ġapp rent", + "Ġd ying", + "19 12", + "Ġl ig", + "Ġw are", + "ĠSub sequently", + "ĠIns urance", + "Ġf ires", + "Ġd iamond", + "Ġcl othes", + "r one", + "Ġs ulf", + "od on", + "ĠW ander", + "Ġcycl ing", + "ĠGuatem ala", + "Ġconfig uration", + "ik ing", + "Ġconf irm", + "Ġmed all", + "ĠH ok", + "Ġweb sites", + "iv ate", + "Ġpred ict", + "ct ica", + "ond a", + "ĠBi ology", + "ĠDe pression", + "Ġteam mate", + "Ġsail ors", + "ĠT ul", + "ĠB ast", + "ĠCre ative", + "p resident", + "ĠPatric ia", + "m art", + "Ġpropos als", + "19 15", + "Ġpubl ish", + "ĠSc ulpt", + "Ġl ord", + "Ġaut hent", + "ant es", + "z el", + "ĠH C", + "ĠPal omar", + "ĠDem ocracy", + "ĠKy iv", + "Ġnickn amed", + "ĠSacram ento", + "ĠS E", + "ĠE up", + "Ġcopy right", + "ĠMos es", + "Ġterror ist", + ". -", + "ĠArchite ct", + "Ġbankrupt cy", + "Ġz ones", + "ĠT ask", + "ĠRe b", + "ĠBald win", + "Ġstat istical", + "Ġwatch ing", + "A ng", + "Ġquant um", + "ĠB in", + "Ġphenomen on", + "ĠSwim ming", + "Ġsubd ivision", + "ĠApoll o", + "Ġrefer ee", + "os c", + "L E", + "Ġmathematic ian", + "Ġsen ator", + "Ġoccur ring", + "orce ster", + "Ġpost pon", + "Ġsole ly", + "ĠC ategory", + "Ġninet eenth", + "P ort", + "Ġman or", + "Ġm arri", + "ĠMore over", + "ik er", + "Ġburn ing", + "Ġre ass", + "ĠD re", + "ĠTro y", + "ir s", + "ĠB attery", + "Ġlar vae", + "Ġv ector", + "Ġprec ip", + "S F", + "Ġfavour ite", + "ĠSm art", + "ag le", + "Ġgener ate", + "Ġcur riculum", + "Ġstrugg led", + "av id", + "ĠFel ix", + "ard ment", + "d aughter", + "ers h", + "ĠV ish", + "19 10", + "Ġlay ers", + "com es", + "Ġut ility", + "ĠExcell ence", + "it ative", + "u o", + "ĠLoc ated", + "ĠP red", + "Ġexp elled", + "Ġcount ed", + "ri o", + "ĠAut o", + "Ġtrans formation", + "Ġveget ation", + "ĠI st", + "Ġobserv ations", + "ik es", + "Ġaccord ance", + "ĠC ash", + "S ec", + "Ġrival ry", + "Ġarm ies", + "ĠBalt ic", + "ĠSett lement", + "ĠFu j", + "ĠDen is", + "R E", + "e i", + "Ġbroad caster", + "Ġ16 0", + "et al", + "Ġbacter ia", + "Ġtrib al", + "ĠK ul", + "p ic", + "n ie", + "un ar", + "Ġmark ing", + "Ġport raits", + "Ġth orough", + "so le", + "Ġatt itude", + "Ġcomm anding", + "Ġrun way", + "Ġmar sh", + "ĠD rew", + "em por", + "... ]", + "Ġp aying", + "ĠY uk", + "ĠBrand on", + "Ġint ens", + "ro at", + "Ġgovern ed", + "Ġby pass", + "ĠV ick", + "ĠAssoci ate", + "l ar", + "ĠCong reg", + "Ġstr ings", + "ĠSim ilarly", + "Ġhop es", + "Ġmy sterious", + "ĠF o", + "Ġhealth care", + "Ġinteg ral", + "ĠChar acter", + "ĠG ospel", + "c ot", + "Ġbal let", + "Ġpartic les", + "ĠCarne gie", + "ĠX box", + "an an", + "ĠM ilit", + "ĠCam pe", + "y ou", + "Ġcollaps ed", + "ĠRo le", + "sc reen", + "D T", + "Ġmagn itude", + "Ġspec ified", + "ĠS ugar", + "on te", + "Ġhand led", + "p ie", + "ĠB uk", + "ĠF iji", + "Ġair ing", + "ĠU TC", + "Ġprompt ed", + "ĠCl aire", + "ĠThurs day", + "Ġd ella", + "ĠQu int", + "ĠSport ing", + "z an", + "ĠCan cer", + "Ġdraw s", + "Ġt ables", + "Ġeas ier", + "Ġsec ular", + "amp ire", + "ĠK ok", + "Ġconsequ ences", + "ov es", + "ĠW ong", + "ĠProv idence", + "Ġg astrop", + "Ġint ensity", + "it he", + "Ġmos que", + "and i", + "ĠChurch ill", + "ĠTr uth", + "ia k", + "mar ine", + "Ġc raf", + "ĠW id", + "ĠEl is", + "Ġassign ment", + "Ġhe ct", + "Ġwithdraw al", + "ĠSumm it", + "Ġsk ull", + "C O", + "Ġd ish", + "Ġqu oted", + "ĠMar ines", + "Ġmet re", + "ah i", + "Ġdep icts", + "Ġn erv", + "Ġtalk ing", + "Ġblock ed", + "Ġwhe els", + "ĠBer ry", + "ĠNe ed", + "Ġ183 3", + "ace utical", + "f s", + "van ces", + "Ġdecre ased", + "i ated", + "Ġless ons", + "erm o", + "Ġsurf aces", + "Ġoccas ional", + "ĠP omer", + "ch us", + "rag on", + "ĠE ty", + "ide a", + "ĠWin ston", + "Ġstrong er", + "Ġuncle ar", + "Ġcle ared", + "Ġbene ath", + "ten ham", + "Ġspec imen", + "Ġth rown", + "Ġcent ered", + "Ġimpress ive", + "Ġpro sec", + "Ġgrand mother", + "Ġserv ants", + "Ġter rain", + "Ġhabit ats", + "mer c", + "ĠGre ens", + "Ġs a", + "rit ic", + "Ġregard less", + "ĠGreat est", + "ch ar", + "Ġcorpor ation", + "Ġre ject", + "ĠKer ry", + "mark et", + "ĠVern on", + "Ġassemb led", + "19 13", + "j un", + "Ġland sc", + "ott a", + "ĠGriff in", + "ĠD art", + "Ġb apt", + "ge ons", + "Ġrem n", + "Ġfilm maker", + "w al", + "em ann", + "ĠU P", + "19 00", + "M T", + "ĠVi ol", + "Ġinterview ed", + "oy alty", + "n is", + "j ust", + "ĠPer uvian", + "ac ular", + "Ġrenov ated", + "ĠSh am", + "y u", + "ĠW orcester", + "ĠR BI", + "Ġp ounds", + "Ġed iting", + "D o", + "f old", + "Ġ3 50", + "ĠUz bek", + "ĠW is", + "Ġp ace", + "her ic", + "ĠEx tra", + "ĠJackson ville", + "ĠAppe als", + "to ok", + "og ical", + "Ġsocial ist", + "Ġtack le", + "ĠH its", + "se at", + "Ġess ays", + "ĠAr ist", + "Ġpl ed", + "ĠOri ental", + "Ġhe ter", + "Ġsur geon", + "ĠCow boys", + "Ġph on", + "ĠAct ing", + "ĠGar cia", + "ĠBro ck", + "gro up", + "7 00", + "Ġimp ressed", + "as is", + "con ne", + "if a", + "ĠFI BA", + "ĠPubl ished", + "ĠSac red", + "Ġsur pass", + "ĠSc ots", + "ĠKrish na", + "ip edia", + "Ġprepar ing", + "Ġadopt ion", + "olog ne", + "or ian", + "ĠR andy", + "Ġ17 75", + "ĠC inem", + "Ġlit erally", + "Ġcontin ental", + "Ġstret ch", + "Ġgen res", + "Ġhigh ways", + ") -", + "i ol", + "en ian", + "ĠTe en", + "Ġdyn amic", + "Ġcap abilities", + "oc o", + "ap o", + "Ġpromot ional", + "Ġworks hops", + "east ern", + "Ġw ound", + "ĠH ut", + "ros se", + "ĠS tern", + "Ġc rypt", + "ĠB ih", + "ĠSouth ampton", + "ĠNorth western", + "ĠK ick", + "ĠD ul", + "Ġle ase", + "ĠD ry", + "commun ications", + "ter a", + "Ġrev ived", + "ĠE yes", + "Ġp in", + "ĠSal em", + "Ġsp ir", + "Ġvary ing", + "ĠW ord", + "Ġ18 15", + "an z", + "Ġr ational", + "ĠMid lands", + "ĠS K", + "ĠC ave", + "Ġten or", + "Ġunex pected", + "arch ive", + "ĠB ridges", + "ĠBul let", + "Ġnorth western", + "Ġdevelop ers", + "ĠP itt", + "ĠDyn asty", + "Ġmot if", + "ĠG ross", + "Ġfl own", + "ĠFer ry", + "Ġkn ows", + "Ġinvestig ated", + "Ġsubmar ines", + "ĠJess ica", + "ĠS H", + "ep pe", + "P aul", + "Ġt ent", + "Ġhar ass", + "e ur", + "Ġsc hem", + "Ġpurs uit", + "Ġreserv oir", + "ĠAd ult", + "ĠMax well", + "ĠHerman n", + "ĠD ag", + "Ġtheore tical", + "v ian", + "ĠR ao", + "C omm", + "Ġproper ly", + "ĠFl ash", + "ĠNov el" + ] + } +} \ No newline at end of file diff --git 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s", + "Ġab out", + "ĠA ust", + "Ġth ree", + "ĠJoh n", + "\" .", + "Ġin ter", + "Ġm ost", + "ct or", + "f ore", + "ĠW orld", + "le y", + "ĠF ran", + "ĠP h", + "th s", + "ĠC on", + "Ġre m", + "Ġf ollow", + "Ġ 9", + "Ġm ade", + "Ġal bum", + "Ġl ater", + "Ġs ing", + "Ġth rough", + "iel d", + "in ist", + "un e", + "om en", + "Ġ end", + "Ġ1 0", + "iv er", + "iv ed", + "ĠB e", + "ers on", + "r on", + "Ġsec ond", + "Ġthe m", + "ro s", + "ĠB rit", + "ĠB l", + "og raph", + "Ġw rit", + "ĠM ay", + "an k", + "us s", + "Ġn um", + "Ġm ov", + "Ġthe re", + "Ġ19 3", + "Ġthe n", + "Ġd ire", + "m p", + "ĠC an", + "Ġde f", + "Ġus ed", + ". \"", + "ĠJ an", + "er m", + "ow er", + "es e", + "vel op", + "u res", + "he n", + "Ġrec ord", + "ar g", + "Ġin v", + "em ent", + "istric t", + "Ġt rans", + "os s", + "t en", + "Ġs o", + "er t", + "Ġm ed", + "e e", + "ar i", + "Ġ1 6", + "ar s", + "Ġs chool", + "Ġkn own", + "Ġs et", + "a i", + "ĠCount y", + "ĠA d", + "y s", + "\" ,", + "Ġ ent", + "Ġbec ame", + "2 00", + "Ġs uch", + "st it", + "Ġest abl", + "ĠO r", + "Ġ1 5", + "Ġa m", + "is m", + "ĠS outh", + "ĠG e", + "Ġpro v", + "c y", + "ur al", + "it s", + "Ġp h", + "Ġin c", + "ment s", + "Ġth an", + "ĠS chool", + "amp ion", + "tern ational", + "u ro", + "ĠG erman", + "ĠM e", + "a x", + "is e", + "Ġf our", + "p os", + "Ġ &", + "ĠN ov", + "Ġs eries", + "ĠJ u", + "Ġbe ing", + "Ġs ome", + "ur ch", + "Ġle ad", + "Ġ| -", + "Ġb l", + "Ġp opul", + "Ġ .", + "e ver", + "ĠW est", + "ut e", + "Ġc all", + "Ġs ong", + "ay s", + "Ġinclud ing", + "ot her", + "j ect", + "le t", + "et h", + "Ġgro up", + "Ġagain st", + "a e", + "Ġw ell", + "are er", + "Ġd o", + "i ke", + "Ġap pe", + "ĠP ol", + "ĠA fter", + "b orn", + "Ġde ath", + "ug ust", + "Ġac c", + "ar ri", + "Ġc ount", + "t y", + "Ġc re", + "ction s", + "ian s", + "ĠP r", + "u ary", + "ĠW h", + "am ed", + "pt ember", + "ĠAust ral", + "v en", + "st em", + "at her", + "t il", + "ĠY ork", + "ar n", + "ire d", + "ul l", + "b y", + "m y", + "er ed", + "r id", + "ver y", + "ut ion", + "e y", + "ĠA ugust", + "Ġbe fore", + "ĠBrit ish", + "Ġre ce", + "= \"", + "ĠO ct", + "el s", + "Ġ1 2", + "Ġad d", + "Ġwh ile", + "r ist", + "Ġs ur", + "ĠSe ptember", + "Ġs ign", + "Ġpol it", + "iv es", + "ĠMar ch", + "overn ment", + "00 0", + "Ġb ro", + "Ġde c", + "Ġsh ow", + "ĠC ent", + "a id", + "Ġoff ic", + "Ġbu ild", + "Ġde velop", + "Ġo per", + "ĠOct ober", + "olog y", + "Ġg o", + "el f", + "Ġfam ily", + "Ġun til", + "Ġc ap", + "le v", + "ĠM an", + "x t", + "Ġm usic", + "Ġm ay", + "pr il", + "iz ed", + "ow ever", + "ĠJ une", + "a u", + "r and", + "Ġo wn", + "f ess", + "Ġn o", + "Ġre p", + "ĠJan uary", + "ic a", + "Ġor ig", + "er y", + "Ġm ain", + "m ber", + "Ġm od", + "Ġh igh", + "ĠAs s", + "ĠJu ly", + "en g", + "ĠAl l", + "Ġbir ths", + "emb ers", + "ĠC ar", + "1 0", + "l ish", + "ist or", + "Ġch ar", + "Ġb oth", + "ĠN orth", + "Ġplay ed", + "olle ge", + "Ġm on", + "Ġman y", + "Ġnum ber", + "ot t", + "et s", + "ĠC o", + "ĠLe ague", + "Ġex p", + "om an", + "Ġn ame", + "ut h", + "ampion ship", + "ĠA pril", + "cent ury", + "ward s", + "Ġb ack", + "Ġ19 2", + "ant s", + "v ed", + "i ent", + "ĠCan ad", + "ĠE uro", + "it t", + "ĠSe e", + "Ġrele ased", + "ce mber", + "Ġe m", + "st ru", + "ĠG u", + "ain ed", + "ĠB o", + "en e", + "i or", + "p le", + "Ġg u", + "g ram", + "1 7", + "ĠE d", + "is c", + "Ġfor mer", + "ĠC ol", + "ĠNov ember", + "it al", + "Ġse ver", + "iss ion", + "ĠA m", + "ĠEng lish", + "Ġan n", + "Ġw on", + "i um", + "in es", + "e c", + "he s", + "port s", + "Ġdes ign", + "p or", + "ic ip", + "ce pt", + "ĠRe g", + "ĠW ill", + "ĠDe cember", + "Ġm at", + "ĠC ity", + "Ġ1 4", + "ra ct", + "ĠF l", + "aj or", + "Ġdes c", + "y l", + "ros s", + "Ġ1 3", + "Ġl ife", + "Ġare a", + "im es", + "ir d", + "Ġst art", + "ĠC al", + "ĠA f", + "Ġor gan", + "r is", + "duc ed", + "Ġop en", + "Ġf eat", + "are d", + "ĠSt ate", + "re t", + "f l", + "Ġg ame", + "ag es", + "Ġd if", + "v ent", + "res ident", + "Ġr un", + "k et", + "u es", + "Ġfilm s", + "l ed", + "ro p", + "Ġpro du", + "p art", + "Ġ1 1", + "ar m", + "et y", + "Ġm en", + "Ġ201 0", + "Ġcl ass", + "ograph y", + "Ġ2 1", + "y le", + "Ġex t", + "ap an", + "il t", + "eb ru", + "Ġs m", + "lev ision", + "ebru ary", + "Ġpubl ic", + "un g", + "ĠK ing", + "ĠI I", + "Ġst ate", + "Ġsy stem", + "ĠP ar", + "Ġl ong", + "Ġo b", + "ual ly", + "Ġd r", + "ar ch", + "ĠB ro", + "f ul", + "Ġf inal", + "Ġc areer", + "il it", + "n er", + "ĠH is", + "Ġs ame", + "ul ar", + "an c", + "a use", + "Ġcall ed", + "am b", + "vi ew", + "Ġfollow ing", + "ĠF ebruary", + "in c", + "z e", + "ov e", + "y n", + "Ġret urn", + "Ġf in", + "on y", + "Ġc ity", + "Ġw ill", + "iv ision", + "ĠEuro pe", + "ĠS w", + "a f", + "h ip", + "Ġch ild", + "r at", + "al es", + "ak ing", + "Ġsever al", + "Ġcomm un", + "ren ch", + "il ity", + "Ġw omen", + "re nt", + "oin t", + "ĠM ed", + "or ks", + "ĠJ apan", + "s p", + "an ge", + "ch n", + "ial ly", + "c om", + "c on", + "ure d", + "Ġl ist", + "Ġs uc", + "ĠGe or", + "p ed", + "Ġe arly", + "Ġa ir", + "ĠB ar", + "Ġcont in", + "Ġ '", + "Ġto wn", + "Ġcomp et", + "Ġcl ub", + "ĠE l", + "Ġm in", + "Ġres ult", + "h am", + "ib le", + "1 2", + "ĠA nd", + "ĠH ar", + "ĠH istory", + "is ed", + "al ly", + "Ġs ince", + "ic es", + "ain s", + "st er", + "19 9", + "ĠThe y", + "ĠP art", + "b o", + "r ing", + "Ġn ear", + "ang u", + "Ġn amed", + "Ġorig inal", + "end ed", + "u ed", + "ĠCh rist", + "at a", + "Ġhe ad", + "ĠA b", + "1 6", + "Ġb el", + "Ġdis c", + "Ġpl ace", + "ĠF rench", + "id ed", + "i ence", + "Ġ201 1", + "ĠRe p", + "Ġc ur", + "Ġbe gan", + "il le", + "Ġt it", + "Ġus e", + "iv al", + "an e", + "re en", + "Ġpro gram", + "ĠU S", + "Ġv ill", + "Ġm ember", + "Ġm embers", + "1 5", + "Ġp rom", + "Ġhe ld", + "Ġan y", + "Ġl and", + "ĠCom p", + "Ġb ased", + "ain t", + "ĠR es", + "ĠM c", + "Ġthe se", + "Ġcomp le", + "b le", + "Ġap p", + "m e", + "Ġsup port", + "oun c", + "ĠAf ric", + "al ity", + "Ġg overnment", + "r ight", + "Ġ200 8", + "ĠR uss", + "Ġm et", + "Ġ201 2", + "Ġw e", + "ĠR o", + "a ugh", + "Ġ19 0", + "ĠA ir", + "Ġestabl ished", + "i ous", + "Ġal ong", + "Ġe ff", + "t he", + "Ġ ,", + "ĠE ast", + "ĠCh ampionship", + "Ġdesc rib", + "T he", + "in ess", + "Ġen g", + "ition s", + "ĠC ollege", + "Ġp ass", + "ĠWill iam", + "ĠG en", + "an a", + "od e", + ". .", + "Ġd ist", + "pe ct", + "al th", + "ad em", + "Ġ200 9", + "Ġloc ated", + "ur g", + "u k", + "ĠThe re", + "at or", + "ical ly", + "ĠH er", + "or m", + "ac ed", + "Ġd id", + "Ġl aw", + "in o", + "Ġc ol", + "Ġo cc", + "Ġchar act", + "che s", + "f ord", + "ĠAr t", + "c ol", + "at s", + "i en", + "ubl ic", + "ĠP eople", + "Ġp os", + "Ġy ou", + "Ġ201 3", + "ond on", + "ĠN e", + "oci ation", + "ĠIt al", + "Ġ200 6", + "Ġ200 7", + "Ġh ouse", + "Ġe ach", + "t o", + "ĠH igh", + "ing ton", + "ore d", + "Ġ201 4", + "ro w", + "Ġ201 6", + "Ġserv ed", + "our t", + "ĠF ilm", + "Ġto ok", + "qu e", + "Ġs im", + "k y", + "Ġ X", + "1 4", + "ĠRe c", + "Ġb and", + "Ġt r", + "Ġst ation", + "Ġh ome", + "ĠD istrict", + "Ġb us", + "av ing", + "ĠS y", + "ĠIn ternational", + "Ġb orn", + "Ġg ames", + "Ġn ational", + "m ed", + "ly mp", + "i et", + "ĠA c", + "Ġin st", + "Ġ201 5", + "re w", + "er g", + "Ġpro fess", + "in ed", + "Ġ201 8", + "ight s", + "p s", + "Ġcomp any", + "Ġl ine", + "Ġp erson", + "1 3", + "ĠO lymp", + "Ġpopul ation", + "Ġm ajor", + "Ġ18 9", + "ac es", + "our n", + "Ġ20 20", + "ĠD av", + "ill ion", + "ĠL iving", + "ĠL ondon", + "Ġ201 7", + "ĠSe c", + "Ġs l", + "Ġb as", + "Ġj oin", + "Ġsm all", + "Ġle g", + "Ġloc al", + "ĠInd ian", + "ĠL a", + "ard s", + "Ġv ari", + "Ġrece ived", + "Ġde b", + "Ġev ent", + "Ġ2 5", + "Ġgen eral", + "Ġman ag", + "Ġpubl ished", + "Ġte levision", + "ĠC up", + "et t", + "Ġcent ury", + "ĠN ot", + "ilit ary", + "s ide", + "et er", + "Ġ3 0", + "at ure", + "Ġ201 9", + "Ġsing le", + "Ġbu ilt", + "ĠS up", + "Ġv i", + "ĠPh il", + "a ul", + "Ġd ue", + "Ġc ould", + "Ġv ers", + "ĠH owever", + "Ġ $", + "Ġap pro", + "ar ge", + "Ġw orld", + "Ġspec ies", + "ar a", + "Ġc olle", + "um n", + "Ġsuc cess", + "ie f", + "ounc il", + "Ġp o", + "v ers", + "Ġst r", + "in t", + "Ġa round", + "ord ing", + "if ied", + "ĠA ng", + "uth or", + "id es", + "at ely", + "om in", + "ĠG l", + "Ġo ld", + "Ġed uc", + "ĠT r", + "arri ed", + "ĠL ist", + "ĠN o", + "Ġt erm", + "is on", + "ro l", + "ĠC or", + "um mer", + "Ġa ge", + "ff ic", + "l ing", + "ĠT ra", + "ĠH ouse", + "Ġhe l", + "Ġal ign", + "Ġe p", + "ord s", + "e f", + "oc ial", + "ĠP ark", + "r ation", + "Ġp resent", + "ĠP re", + "Ġle ft", + "Ġl ast", + "Ġs ix", + "ĠE n", + "Ġh istory", + "Ġn ow", + "i od", + "a im", + "Ġs aid", + "ĠS an", + "Ġt y", + "Ġ200 0", + "Ġrep resent", + "re et", + "a us", + "id d", + "ra ft", + "t t", + "Ġd ied", + "Ġplay er", + "op h", + "Ġ 0", + "Ġre st", + "1 1", + "Ġc amp", + "iz ation", + "ĠD uring", + "Ġc ar", + "Ġl a", + "um b", + "angu age", + "Ġto p", + "ne y", + "Ġp ar", + "ĠB r", + "on es", + "Ġvill age", + "Ġwith in", + "ĠM ich", + "Ġd et", + "iv en", + "Ġst yle", + "Ġf ive", + "Ġ200 5", + "Ġt ri", + "Ġn orth", + "Ġsh ort", + "Ġ2 4", + "v an", + "ĠR oy", + "Ġor der", + "ide o", + "Ġ18 8", + "Ġd ay", + "in k", + "ĠD es", + "o ks", + "et her", + "u f", + "Ġdescrib ed", + "ak es", + "s c", + "ow s", + "ur ther", + "19 8", + "ent ly", + "Ġth ird", + "Ġbuild ing", + "al k", + "Ġinclud e", + "ĠR iver", + "Ġinclud ed", + "Ġp ost", + "um ent", + "Ġd own", + "ast er", + "if orn", + "ĠP er", + "Ġdif fer", + "d ay", + "he m", + "ĠA g", + "Ġchild ren", + "Ġre port", + "ur s", + "ĠEng land", + "c o", + "ĠCh ar", + "Ġ202 1", + "att le", + "Ġre f", + "vi ous", + "Ġre qu", + "ĠS ch", + "ĠA ct", + "n a", + "er a", + "feren ce", + "Ġbec ause", + "ke y", + "t ain", + "iforn ia", + "Ġad m", + "ĠB y", + "th ough", + "Ġann oun", + "Ġl arge", + "Ġcons id", + "iv ely", + "re g", + "ĠG ro", + "ĠM al", + "Ġs outh", + "g round", + "Ġs on", + "ĠAustral ia", + "Ġ200 4", + "ic o", + "Ġd em", + "rid ge", + "ri end", + "Ġd istrict", + "ĠCal ifornia", + "l er", + "col or", + "Ġst and", + "ĠP ort", + "ĠB ra", + "Ġm ark", + "ĠM on", + "os p", + ". ,", + "use um", + "ct ure", + "Ġar ch", + "Ġp ower", + "inn ing", + "Ġst at", + "Ġbo ok", + "uc k", + "od y", + "ĠY ou", + "ĠPart y", + "en cy", + "Ġl o", + "Ġdeath s", + "ri pt", + "Ġ202 2", + "Ġc rit", + "ad io", + "it er", + "part ment", + "land s", + "in ing", + "Ġw ar", + "con om", + "um an", + "Ġappe ar", + "Ġc or", + "ĠD em", + "Ġm ale", + "Ġl arg", + "k a", + "Ġis s", + "ĠR oman", + "re st", + "Ġ18 6", + "Ġj ust", + "ist er", + "Ġ2 2", + "Ġre pl", + "ĠB el", + "c er", + "al d", + "al f", + "Ġw ater", + "Ġserv ice", + "g ed", + "Ġper iod", + "Ġn on", + "Ġper form", + "Ġadd ition", + "n ess", + "Ġres p", + "v es", + "Ġk ill", + "am ent", + "oci ety", + "ĠA nt", + "Ġde p", + "ee k", + "Ġv is", + "he l", + "our s", + "e le", + "Ġre fer", + "ĠS m", + "a ff", + "er ing", + "ĠO ne", + "Ġmov ed", + "ĠA ward", + "en se", + "Ġc r", + "ĠE m", + "Ġdiffer ent", + "iz e", + "Ġcur rent", + "ĠAustral ian", + "Ġro und", + "Ġl ike", + "ot e", + "rib ut", + "5 0", + "ĠAr my", + "Ġ2 3", + "Ġinc re", + "om b", + "Ġm illion", + "Ġl ed", + "k i", + "l ine", + "ĠN or", + "p ar", + "Ġt rad", + "Ġbus iness", + "am a", + "ĠA cc", + "t al", + "av y", + "her n", + "ĠM inist", + "Ġan other", + "Ġth ose", + "o on", + "Ġh istor", + "ĠR ober", + "op s", + "o f", + "Ġsh ip", + "Ġ18 7", + "Ġe qu", + "Ġst ill", + "and er", + "Ġ if", + "Ġf ather", + "Ġ el", + "Ġf ield", + "Ġw est", + "ĠJ ames", + "Ġd el", + "ĠInd ia", + "Ġex per", + "Ġa uthor", + "i ber", + "ĠM or", + "ĠSt e", + "d e", + "ep end", + "Ġf ac", + "c hed", + "iv il", + "Ġact iv", + "Ġh and", + "Ġcomp os", + "ĠCh urch", + "ĠM usic", + "Ġbe st", + "ĠGen eral", + "ĠFran ce", + "Ġp ort", + "Ġk m", + "o x", + "Ġannoun ced", + "Ġin ternational", + "Ġdeb ut", + "stru ction", + "Ġtit le", + "Ġcount ry", + "d om", + "ĠQ u", + "Ġs old", + "Ġf em", + "ĠTh om", + "Ġw in", + "as es", + "Ġ200 3", + "v ille", + "Ġ( )", + "Ġestabl ish", + "ĠY ear", + "19 7", + "u el", + "Ġcharact er", + "Ġe ast", + "Ġpolit ic", + "ĠGeor ge", + "ĠD ivision", + "f ield", + "un icip", + "us h", + "Ġs ide", + "c ast", + "Ġp at", + "Ġd ra", + "b e", + "ĠRoy al", + "Ġc ult", + "ourn al", + "ĠA p", + "an ish", + "re ad", + "Ġn ov", + "Ġa v", + "g color", + "Ġpre vious", + "ĠM ount", + "g in", + "Ġm ake", + "ĠEurope an", + "Ġ very", + "ri es", + "a el", + "ĠQ ue", + "ĠP e", + "ort hern", + "Ġa ward", + "ĠCl ub", + "ĠCanad ian", + "Ġset t", + "ug g", + "ĠAc adem", + "Ġele ction", + "Ġpro ject", + "ip p", + "l in", + "le x", + "ĠP al", + "Ġam ong", + "m s", + "ap p", + "ab or", + "Ġw orks", + "ĠV al", + "ĠG r", + "Ġ2 6", + "ĠCanad a", + "Ġ200 2", + "ĠE le", + "i us", + "ĠR ich", + "Ġf r", + "al ign", + "Ġro le", + "g es", + "Ġpro duced", + "ĠW hen", + "w ork", + "ĠP aul", + "Ġf e", + "Ġm ag", + "pl oy", + "for man", + "Ġle vel", + "ĠB u", + "o ff", + "Ġof ten", + "ol ution", + "Ġa ff", + "Ġl ate", + "Ġs pe", + "Ġre ad", + "Ġw eb", + "a pe", + "ĠDav id", + "ĠC ouncil", + "Ġth ough", + "Ġinv ol", + "Ġre se", + "Ġb gcolor", + "ĠF ootball", + "Ġp e", + "Ġ199 0", + "it ar", + "st on", + "at ch", + "Ġwrit ten", + "Ġex pl", + "Ġ2 8", + "Ġ2 7", + "or ies", + "im ent", + "ĠL ou", + "Ġeng ine", + "Ġf ore", + "ĠH ol", + "Ġep is", + "ĠAss ociation", + "Ġ es", + "stit ute", + "Ġad v", + "b ack", + "Ġte chn", + "ac ks", + "Ġ200 1", + "ĠW ith", + "b an", + "ĠR ed", + "Ġstart ed", + "Ġev en", + "ĠD r", + "umn i", + "Ġyou ng", + "Ġp oss", + "Ġall ow", + "o le", + "em pt", + "Ġcl os", + "iv id", + "o e", + "ro te", + "Ġm arried", + "it or", + "Ġg rad", + "ĠR ail", + "v al", + "Ġc ame", + "Ġoffic ial", + "Ġin it", + "Ġc over", + "Ġim port", + "ĠP resident", + "Ġcre ated", + "ĠAmer ica", + "ou ther", + "Ġw ent", + "form ation", + "Ġg iven", + "Ġs ite", + "Ġto tal", + "ol ic", + "g y", + "ir c", + "ĠSt reet", + "al t", + "Ġst ru", + "Ġe very", + "ĠF irst", + "Ġt urn", + "outher n" + ] + } +} \ No newline at end of file diff --git a/models/components/layers/tokenizer_models/bpe_en_wiki_20000_simplified.model 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"Ġbreath": 16806, + "ĠEva": 16807, + "imation": 16808, + "ĠRag": 16809, + "iplinary": 16810, + "Ġinterfer": 16811, + "opt": 16812, + "Ġtrails": 16813, + "PG": 16814, + "Ġ(#": 16815, + "ĠLoch": 16816, + "Ġtension": 16817, + "ĠToo": 16818, + "Ġ1813": 16819, + "ĠTrial": 16820, + "ĠSally": 16821, + "Ġdense": 16822, + "ĠSwift": 16823, + "inders": 16824, + "Ġarchives": 16825, + "html": 16826, + "Ġgeographical": 16827, + "ĠRee": 16828, + "Ġpreceding": 16829, + "ĠRebell": 16830, + "Ġitem": 16831, + "ĠStrait": 16832, + "Ġcyclist": 16833, + "sz": 16834, + "tures": 16835, + "Ġkids": 16836, + "Ġverb": 16837, + "Pac": 16838, + "pal": 16839, + "series": 16840, + "ĠRust": 16841, + "Ġble": 16842, + "ĠBug": 16843, + "ĠDrug": 16844, + "Ġrings": 16845, + "cue": 16846, + "pis": 16847, + "Ġarose": 16848, + "ĠHurling": 16849, + "ĠBattles": 16850, + "ĠBonn": 16851, + "ĠTrevor": 16852, + "ĠCran": 16853, + "Ġpav": 16854, + "ĠHyder": 16855, + "ankar": 16856, + "north": 16857, + "Ġswimmer": 16858, + "ĠImport": 16859, + "VC": 16860, + "Ġmemories": 16861, + "ĠGovernorate": 16862, + "ĠHammond": 16863, + "ĠSale": 16864, + "ĠSuperman": 16865, + "ĠCanberra": 16866, + "Ġcouncillors": 16867, + "uum": 16868, + "ĠNeo": 16869, + "Ġartifacts": 16870, + "Ġmerchants": 16871, + "ĠBoss": 16872, + "ĠLLC": 16873, + "oric": 16874, + "Ġarguments": 16875, + "Ġmoon": 16876, + "Ġgates": 16877, + "Ġbonds": 16878, + "ĠKoz": 16879, + "ĠHolly": 16880, + "Ġgovernors": 16881, + "Ġtrucks": 16882, + "ĠAngela": 16883, + "ĠNordic": 16884, + "Ġconsiderably": 16885, + "Ġchallenging": 16886, + "Ġholder": 16887, + "Ġaside": 16888, + "Ġramp": 16889, + "Ġbombs": 16890, + "emia": 16891, + "ĠXavier": 16892, + "duct": 16893, + "ĠHearts": 16894, + "ĠGibral": 16895, + "Ġresponses": 16896, + "anch": 16897, + "ĠHaj": 16898, + "ĠCoaching": 16899, + "ĠChak": 16900, + "ĠLatvian": 16901, + "ensed": 16902, + "fts": 16903, + "ulla": 16904, + "ĠUSC": 16905, + "inese": 16906, + "ĠPreviously": 16907, + "ogene": 16908, + "Ġear": 16909, + "ĠDowntown": 16910, + "ĠCherry": 16911, + "iston": 16912, + "ĠDreams": 16913, + "Ġlesser": 16914, + "Ġobtaining": 16915, + "Ġecosystem": 16916, + "hears": 16917, + "Ġdirections": 16918, + "ĠRw": 16919, + "Ġcream": 16920, + "ĠTehran": 16921, + "ifferent": 16922, + "Ab": 16923, + "ĠHM": 16924, + "ĠLibya": 16925, + "Ġreviewer": 16926, + "Ġinland": 16927, + "acio": 16928, + "Ġdemonstration": 16929, + "Ġprincess": 16930, + "ibald": 16931, + "Ġindie": 16932, + "cester": 16933, + "ĠBerks": 16934, + "Ġemissions": 16935, + "landers": 16936, + "ĠInvestig": 16937, + "ĠAlbion": 16938, + "Ġelderly": 16939, + "itorium": 16940, + "yth": 16941, + "Ġballs": 16942, + "ĠHoriz": 16943, + "Ġ201314": 16944, + "ographs": 16945, + "ĠIbrahim": 16946, + "ĠVinc": 16947, + "Ġ>": 16948, + "ĠKamp": 16949, + "Ġoutlets": 16950, + "Ġcha": 16951, + "itters": 16952, + "Ġevaluation": 16953, + "ĠCaled": 16954, + "Ġtactics": 16955, + "ĠCel": 16956, + "loaded": 16957, + "ĠWimbledon": 16958, + "ĠParaguay": 16959, + "Ġmobil": 16960, + "Ġgastropod": 16961, + "around": 16962, + "ĠEvening": 16963, + "hof": 16964, + "Ġcryst": 16965, + "Ġcontracted": 16966, + "isive": 16967, + "Ġinventor": 16968, + "ĠBri": 16969, + "ĠTact": 16970, + "idy": 16971, + "Ġeconomist": 16972, + "Ġmechanics": 16973, + "ylon": 16974, + "ĠJudaism": 16975, + "hoods": 16976, + "Ġcouncils": 16977, + "elic": 16978, + "Ġapartments": 16979, + "Ġpublishers": 16980, + "ĠCSS": 16981, + "Ġlongtime": 16982, + "Ġpref": 16983, + "may": 16984, + "ĠJosef": 16985, + "dong": 16986, + "Ġpolitically": 16987, + "Ġtonn": 16988, + "ĠTud": 16989, + "venile": 16990, + "Ġtelev": 16991, + "Ġclim": 16992, + "Ġunited": 16993, + "Ġcollector": 16994, + "Ġsyll": 16995, + "ĠMayors": 16996, + "ĠPag": 16997, + "ĠNoble": 16998, + "ĠPhillies": 16999, + "Ġclimbing": 17000, + "ĠDavidson": 17001, + "enstein": 17002, + "Ġ3000": 17003, + "National": 17004, + "Ġwitnesses": 17005, + "ĠSiber": 17006, + "Ġinfer": 17007, + "Ġbutterfly": 17008, + "ĠDee": 17009, + "ĠCollections": 17010, + "antis": 17011, + "Ġdispos": 17012, + "Ġrh": 17013, + "oqu": 17014, + "ĠEmpress": 17015, + "ĠRestaur": 17016, + "ĠCheshire": 17017, + "elligent": 17018, + "Ġnaturally": 17019, + "Ġdefunct": 17020, + "ĠAdvance": 17021, + "Ġinvitation": 17022, + "ĠCarey": 17023, + "ĠBritt": 17024, + "ĠSchmidt": 17025, + "olades": 17026, + "ĠCaucas": 17027, + "Ġnavigation": 17028, + "1908": 17029, + "Ġfier": 17030, + "ĠWebster": 17031, + "ĠRule": 17032, + "Ġfault": 17033, + "ĠPied": 17034, + "ĠYak": 17035, + "Ġknight": 17036, + "ĠChev": 17037, + "Ġdonations": 17038, + "Ġenhanced": 17039, + "tail": 17040, + "ĠSeventh": 17041, + "Ġsuccessive": 17042, + "ĠFi": 17043, + "Ġicon": 17044, + "ĠVery": 17045, + "Ġprotecting": 17046, + "album": 17047, + "eward": 17048, + "Ġconsistently": 17049, + "Ġfilter": 17050, + "ĠCrim": 17051, + "Ġcircles": 17052, + "UR": 17053, + "Ġspeaks": 17054, + "ĠParamount": 17055, + "iox": 17056, + "Ġ1758": 17057, + "Ġtaste": 17058, + "antha": 17059, + "Ġsnail": 17060, + "rayed": 17061, + "NL": 17062, + "idian": 17063, + "rays": 17064, + "Ġrevolt": 17065, + "arton": 17066, + "Ġtrailer": 17067, + "jections": 17068, + "ĠOrganisation": 17069, + "Ġrecommendations": 17070, + "Ġpartnered": 17071, + "Ġamend": 17072, + "izers": 17073, + "ellation": 17074, + "hao": 17075, + "ĠFro": 17076, + "Ġpresenting": 17077, + "Ġposthumously": 17078, + "Ġtobacco": 17079, + "ĠElite": 17080, + "Ġceiling": 17081, + "ĠNH": 17082, + "Ġcertainly": 17083, + "Ġpregnancy": 17084, + "ĠGos": 17085, + "Ġexamined": 17086, + "ĠOmaha": 17087, + "Ġhealthy": 17088, + "Ġdetection": 17089, + "Ġcalculated": 17090, + "ĠHassan": 17091, + "ĠPapers": 17092, + "Ġconviction": 17093, + "ĠIcelandic": 17094, + "ĠHours": 17095, + "Ġcommercially": 17096, + "ĠVia": 17097, + "Ġrolling": 17098, + "ĠValencia": 17099, + "Ġadvancing": 17100, + "ĠBhar": 17101, + "mud": 17102, + "PD": 17103, + "ĠKnock": 17104, + "Ġamp": 17105, + "party": 17106, + "Ġdemonstrate": 17107, + "Ġvelocity": 17108, + "rguez": 17109, + "1909": 17110, + "ĠZach": 17111, + "Ġdepictions": 17112, + "ĠPrez": 17113, + "ĠNicarag": 17114, + "Ġdestroying": 17115, + "Ġdeclaration": 17116, + "Ġenterprise": 17117, + "ĠAus": 17118, + "Ġparade": 17119, + "ĠCars": 17120, + "ĠBasic": 17121, + "ĠWade": 17122, + "Ġblow": 17123, + "ĠPhotography": 17124, + "perm": 17125, + "ĠPierce": 17126, + "human": 17127, + "ocolate": 17128, + "ĠMyth": 17129, + "ĠUNESCO": 17130, + "Ġnursing": 17131, + "Ġaltar": 17132, + "ĠChu": 17133, + "ĠFow": 17134, + "ĠEmbassy": 17135, + "drama": 17136, + "Ġgentle": 17137, + "cience": 17138, + "cence": 17139, + "ĠDise": 17140, + "ĠAns": 17141, + "camp": 17142, + "Ġ201415": 17143, + "ĠEls": 17144, + "Ġdestroyer": 17145, + "Ġpresum": 17146, + "werp": 17147, + "ĠChern": 17148, + "ĠPok": 17149, + "Ġlasting": 17150, + "Ġseeks": 17151, + "Ġtap": 17152, + "ĠInvestment": 17153, + "Ġloans": 17154, + "Den": 17155, + "ĠSharon": 17156, + "ĠCON": 17157, + "ĠAnimated": 17158, + "Ġpriority": 17159, + "ĠCarson": 17160, + "Ġundergo": 17161, + "Ġdeployment": 17162, + "Ant": 17163, + "ĠTuesday": 17164, + "Ġconsumers": 17165, + "Ġachieving": 17166, + "Ġmaritime": 17167, + "Ġhighlights": 17168, + "ophys": 17169, + "ĠResort": 17170, + "ĠTuc": 17171, + "Ġbomber": 17172, + "ĠPerforming": 17173, + "alom": 17174, + "ĠDiplom": 17175, + "ĠMate": 17176, + "Ġvault": 17177, + "gent": 17178, + "ĠMunster": 17179, + "Ġreader": 17180, + "Ġdean": 17181, + "ĠOccup": 17182, + "Ġfo": 17183, + "ĠPie": 17184, + "ĠParade": 17185, + "BR": 17186, + "voy": 17187, + "arf": 17188, + "ĠLus": 17189, + "ocide": 17190, + "ĠBryant": 17191, + "ulates": 17192, + "arya": 17193, + "ĠMorm": 17194, + "Ġplural": 17195, + "ĠVul": 17196, + "ĠDunn": 17197, + "cross": 17198, + "yi": 17199, + "ĠRodrguez": 17200, + "ĠMacedonian": 17201, + "ĠLeigh": 17202, + "ĠNicol": 17203, + "oken": 17204, + "avel": 17205, + "Ġcyclone": 17206, + "ĠVatican": 17207, + "ĠBit": 17208, + "ĠCarmen": 17209, + "ĠTunnel": 17210, + "Ġgeometry": 17211, + "Ġcass": 17212, + "sim": 17213, + "ĠUd": 17214, + "apor": 17215, + "Ġ1790": 17216, + "Ġcontinuously": 17217, + "Ġrectangular": 17218, + "Ġvolcano": 17219, + "ĠSach": 17220, + "ĠMohamed": 17221, + "atty": 17222, + "arsity": 17223, + "Ġsor": 17224, + "Ġcostume": 17225, + "Ġdefic": 17226, + "songwriters": 17227, + "Ġcello": 17228, + "Ġorganize": 17229, + "uria": 17230, + "chid": 17231, + "ĠEvan": 17232, + "ĠClem": 17233, + "ext": 17234, + "ĠAug": 17235, + "Ġmaj": 17236, + "oub": 17237, + "ĠHyd": 17238, + "Ġpel": 17239, + "ipes": 17240, + "otti": 17241, + "Ġdys": 17242, + "ĠSixth": 17243, + "Ġequality": 17244, + "Ġingred": 17245, + "ĠAppeal": 17246, + "Pol": 17247, + "edded": 17248, + "Ġmillions": 17249, + "ĠKens": 17250, + "ĠMarina": 17251, + "gren": 17252, + "Ġcommanders": 17253, + "Ġaus": 17254, + "ometer": 17255, + "ĠSep": 17256, + "ulia": 17257, + "arna": 17258, + "Ġtrick": 17259, + "enko": 17260, + "Ġ1818": 17261, + "umann": 17262, + "TO": 17263, + "titled": 17264, + "Ġtheaters": 17265, + "Old": 17266, + "RNA": 17267, + "Ġstarter": 17268, + "ĠKatherine": 17269, + "ĠTill": 17270, + "Ġ201112": 17271, + "ĠKolkata": 17272, + "ĠVed": 17273, + "iban": 17274, + "Ġnarrowly": 17275, + "Connor": 17276, + "Ġfragments": 17277, + "ĠJohan": 17278, + "ĠSanskrit": 17279, + "omers": 17280, + "Ġaudition": 17281, + "Ġtestimony": 17282, + "ĠZhu": 17283, + "ĠTD": 17284, + "Ġmask": 17285, + "ĠPatrol": 17286, + "Ġerrors": 17287, + "ĠSynopsis": 17288, + "ĠGujarat": 17289, + "Ġ201516": 17290, + "ĠSanders": 17291, + "Ġbatted": 17292, + "Ġpurple": 17293, + "Ġplanes": 17294, + "Ġmolecules": 17295, + "ĠPorto": 17296, + "ĠSolid": 17297, + "ĠStad": 17298, + "Ġcord": 17299, + "Ġslot": 17300, + "omore": 17301, + "ĠGalaxy": 17302, + "enb": 17303, + "Ġallied": 17304, + "ĠArabian": 17305, + "inski": 17306, + "ĠNO": 17307, + "Ġbounded": 17308, + "Ġvolcanic": 17309, + "ĠLorenzo": 17310, + "ogh": 17311, + "ĠGibraltar": 17312, + "Ġguided": 17313, + "Ġprominence": 17314, + "ĠInnovation": 17315, + "Ġfus": 17316, + "inded": 17317, + "ĠShirley": 17318, + "ylogen": 17319, + "Ġcommentator": 17320, + "Ġneighborhoods": 17321, + "ĠGeographic": 17322, + "Ġ1822": 17323, + "ĠAllMusic": 17324, + "ĠBolog": 17325, + "Ġfiscal": 17326, + "ĠSummary": 17327, + "Ġurged": 17328, + "ĠMining": 17329, + "Family": 17330, + "ĠPartners": 17331, + "Ġharbour": 17332, + "Ġnights": 17333, + "enov": 17334, + "ĠStro": 17335, + "Ġvariables": 17336, + "ĠNut": 17337, + "verage": 17338, + "rut": 17339, + "ĠBrow": 17340, + "ĠWanderers": 17341, + "ĠVijay": 17342, + "ierre": 17343, + "ommission": 17344, + "ĠClube": 17345, + "Ġwarned": 17346, + "Ġsaving": 17347, + "ĠTownships": 17348, + "ĠWheel": 17349, + "Ġquit": 17350, + "Ġtune": 17351, + "ĠDuck": 17352, + "ĠVor": 17353, + "Ġglob": 17354, + "ĠZur": 17355, + "Ġskiing": 17356, + "ĠWinchester": 17357, + "Ġcinemat": 17358, + "ĠClyde": 17359, + "abs": 17360, + "ĠHonors": 17361, + "Ġremarkable": 17362, + "Let": 17363, + "rible": 17364, + "Ġamendment": 17365, + "riot": 17366, + "ĠIrving": 17367, + "Ġfare": 17368, + "Ġcontrolling": 17369, + "ĠDust": 17370, + "anus": 17371, + "Ġflee": 17372, + "Ġodd": 17373, + "ĠStir": 17374, + "ĠBram": 17375, + "ĠHaiti": 17376, + "Ġfactories": 17377, + "LD": 17378, + "fund": 17379, + "Ġproclaimed": 17380, + "Ġlateral": 17381, + "Ġthread": 17382, + "ĠInitiative": 17383, + "ĠKuwait": 17384, + "ĠShot": 17385, + "ĠMaple": 17386, + "Ġleather": 17387, + "Ġmeasurement": 17388, + "ĠMoroccan": 17389, + "ramid": 17390, + "Ġautomobile": 17391, + "aland": 17392, + "ĠGov": 17393, + "ĠScandin": 17394, + "Ġharsh": 17395, + "Ġhectares": 17396, + "pler": 17397, + "Ġporn": 17398, + "ĠChambers": 17399, + "Ġintroducing": 17400, + "ertation": 17401, + "ĠElder": 17402, + "fordshire": 17403, + "Ġtradem": 17404, + "ĠPeterson": 17405, + "Ġbelieving": 17406, + "iseries": 17407, + "ographed": 17408, + "national": 17409, + "mere": 17410, + "tel": 17411, + "reens": 17412, + "ĠOv": 17413, + "Ġ!!": 17414, + "Ġprofessionally": 17415, + "ĠArlington": 17416, + "Dr": 17417, + "ascular": 17418, + "Ġfossils": 17419, + "ĠIbn": 17420, + "auth": 17421, + "Ġneur": 17422, + "Ġviolation": 17423, + "ĠShane": 17424, + "Ġcooking": 17425, + "anco": 17426, + "ĠTac": 17427, + "ĠSavage": 17428, + "Ġlocals": 17429, + "issued": 17430, + "Ġtickets": 17431, + "ĠPaw": 17432, + "hampton": 17433, + "ewater": 17434, + "ĠClear": 17435, + "ĠKunst": 17436, + "etus": 17437, + "number": 17438, + "det": 17439, + "ĠAster": 17440, + "Ġaccounting": 17441, + "ĠLC": 17442, + "Ġcomplications": 17443, + "ĠGle": 17444, + "ĠMcCarthy": 17445, + "aise": 17446, + "usz": 17447, + "Ġprosecution": 17448, + "Ġstamp": 17449, + "ĠEthiopian": 17450, + "pse": 17451, + "ĠTale": 17452, + "ĠRex": 17453, + "Ġ1816": 17454, + "ĠZam": 17455, + "Ġaccommodation": 17456, + "Ġobjectives": 17457, + "Ġdrunk": 17458, + "beit": 17459, + "good": 17460, + "Gold": 17461, + "ĠVikings": 17462, + "European": 17463, + "ĠGlory": 17464, + "ĠMole": 17465, + "Ġdealt": 17466, + "ĠPhillip": 17467, + "Ġscout": 17468, + "Ġpropri": 17469, + "ĠMIT": 17470, + "ril": 17471, + "ĠInvestigation": 17472, + "Ġdegrad": 17473, + "ĠBulls": 17474, + "ĠRead": 17475, + "ĠGoals": 17476, + "Ġbarn": 17477, + "Ġcarriers": 17478, + "Ġcomparable": 17479, + "ĠHear": 17480, + "Ġmastering": 17481, + "ĠCharg": 17482, + "Ġcomplaints": 17483, + "Ġfortune": 17484, + "ĠEthnic": 17485, + "ĠMercedes": 17486, + "ĠCollegiate": 17487, + "zens": 17488, + "Ġspelled": 17489, + "ĠAuburn": 17490, + "sson": 17491, + "Ġinherit": 17492, + "teau": 17493, + "heads": 17494, + "Ġspotted": 17495, + "Ġrecreation": 17496, + "ĠPup": 17497, + "Ġfreshman": 17498, + "footballer": 17499, + "Ġorganizing": 17500, + "ĠClarence": 17501, + "ĠHapp": 17502, + ")(": 17503, + "Ġirrig": 17504, + "ĠKee": 17505, + "strumental": 17506, + "Ġcivic": 17507, + "Ġadvocacy": 17508, + "Mon": 17509, + "1905": 17510, + "ĠWillis": 17511, + "olithic": 17512, + "San": 17513, + "ĠTibetan": 17514, + "ĠSpot": 17515, + "Ġgalleries": 17516, + "Ġelectronics": 17517, + "ĠHawaiian": 17518, + "ĠGC": 17519, + "ĠLambert": 17520, + "neys": 17521, + "ĠGel": 17522, + "ĠNewark": 17523, + "ĠSharp": 17524, + "ĠMcLe": 17525, + "emberg": 17526, + "Ġoverth": 17527, + "rika": 17528, + "ĠDawson": 17529, + "ynes": 17530, + "Ġumb": 17531, + "sover": 17532, + "1907": 17533, + "Reg": 17534, + "ĠAthen": 17535, + "ĠGM": 17536, + "umble": 17537, + "ĠPhilharmonic": 17538, + "enheim": 17539, + "ĠMetac": 17540, + "Hol": 17541, + "Ġdiscipl": 17542, + "ĠFischer": 17543, + "Ġpenn": 17544, + "ĠRoster": 17545, + "occup": 17546, + "Ġ202021": 17547, + "school": 17548, + "ĠGarn": 17549, + "Ġgly": 17550, + "Ġchains": 17551, + "Ġverses": 17552, + "ĠMonster": 17553, + "Ġflies": 17554, + "ĠAmanda": 17555, + "Ġtong": 17556, + "ĠLj": 17557, + "Ġtrustees": 17558, + "ĠBates": 17559, + "Ġwishes": 17560, + "ardy": 17561, + "Ġharvest": 17562, + "ĠBeautiful": 17563, + "ĠBrigadier": 17564, + "ĠBold": 17565, + "Ġproceeds": 17566, + "Ġsprint": 17567, + "aird": 17568, + "Ġtruly": 17569, + "acking": 17570, + "ĠCz": 17571, + "Ġsupern": 17572, + "Ġairports": 17573, + "Ġaccuracy": 17574, + "ĠCredits": 17575, + "igu": 17576, + "Ġorganisms": 17577, + "ĠLindsay": 17578, + "Ġlengths": 17579, + "ĠShell": 17580, + "along": 17581, + "Ġcareers": 17582, + "ĠPolytechn": 17583, + "Ġwartime": 17584, + "tw": 17585, + "ĠSiles": 17586, + "ĠMaking": 17587, + "Ġuprising": 17588, + "ĠTou": 17589, + "ĠSustain": 17590, + "ĠXin": 17591, + "Ġlacked": 17592, + "park": 17593, + "missions": 17594, + "ĠDundee": 17595, + "venues": 17596, + "Ġell": 17597, + "ĠWave": 17598, + "Ġcertification": 17599, + "ĠInner": 17600, + "ĠAgnes": 17601, + "King": 17602, + "ĠThing": 17603, + "ĠMk": 17604, + "ĠLands": 17605, + "esi": 17606, + "Ġovercome": 17607, + "ĠBenson": 17608, + "Ġgovernance": 17609, + "ĠLO": 17610, + "Ġsquadrons": 17611, + "ĠDerbyshire": 17612, + "Ġtar": 17613, + "ĠAgent": 17614, + "Ġobvious": 17615, + "ĠNiz": 17616, + "Ġequity": 17617, + "ĠMatthews": 17618, + "kie": 17619, + "ĠHin": 17620, + "ĠHuang": 17621, + "ichael": 17622, + "ĠMller": 17623, + "igger": 17624, + "urgical": 17625, + "amen": 17626, + "ĠFol": 17627, + "Ġmeter": 17628, + "ĠTerritorial": 17629, + "Ġadvisory": 17630, + "ĠMongolia": 17631, + "Ġmirror": 17632, + "thon": 17633, + "Ġleased": 17634, + "Ġcorrespondent": 17635, + "ĠIch": 17636, + "onel": 17637, + "ĠHos": 17638, + "ĠTimeline": 17639, + "ĠCornel": 17640, + "Ġ1827": 17641, + "Ġprovider": 17642, + "ĠCod": 17643, + "ĠAndroid": 17644, + "orrect": 17645, + "ĠDeleg": 17646, + "ĠEvil": 17647, + "iliation": 17648, + "ĠPolbot": 17649, + "Ġlaser": 17650, + "Ġdevelops": 17651, + "ĠPractice": 17652, + "Ġdoctoral": 17653, + "Ġterminated": 17654, + "mese": 17655, + "ĠLope": 17656, + "Ġvaccine": 17657, + "ieg": 17658, + "ubble": 17659, + "Ġwit": 17660, + "Ġtrafficking": 17661, + "Ġnotion": 17662, + "Ġradi": 17663, + "Ġinvested": 17664, + "ĠClayton": 17665, + "unta": 17666, + "ĠFry": 17667, + "nty": 17668, + "Ġserver": 17669, + "nar": 17670, + "Ġtouc": 17671, + "rones": 17672, + "ĠTracy": 17673, + "ĠEden": 17674, + "ĠGloria": 17675, + "ĠAve": 17676, + "Ġdetected": 17677, + "Ġreflects": 17678, + "ĠTort": 17679, + "Ġrod": 17680, + "Ġintact": 17681, + "ĠFram": 17682, + "Ġelaborate": 17683, + "ĠGob": 17684, + "UT": 17685, + "ĠMickey": 17686, + "Ġbarrier": 17687, + "ĠSW": 17688, + "Ġrubber": 17689, + "placed": 17690, + "Ġlens": 17691, + "ĠTap": 17692, + "ĠWare": 17693, + "riz": 17694, + "Ġsurveillance": 17695, + "Bel": 17696, + "Ġpenalties": 17697, + "ĠStoke": 17698, + "Ġcater": 17699, + "ĠWyn": 17700, + "Ġfinalist": 17701, + "won": 17702, + "ocaly": 17703, + "Ġpreceded": 17704, + "ĠFalcon": 17705, + "Ġcontents": 17706, + "Ġtasked": 17707, + "ĠCunning": 17708, + "ĠAbbas": 17709, + "Ġappreci": 17710, + "ĠCM": 17711, + "ĠBuddha": 17712, + "ĠDevils": 17713, + "Ġspur": 17714, + "ĠReviews": 17715, + "Ġcomputing": 17716, + "Ġpipe": 17717, + "Ġsolve": 17718, + "Ġenlarged": 17719, + "ĠBucharest": 17720, + "ĠSeth": 17721, + "Ġcease": 17722, + "Ġstrain": 17723, + "ĠTitans": 17724, + "Ġextract": 17725, + "plus": 17726, + "late": 17727, + "ulin": 17728, + "Ġacceptance": 17729, + "Ġcomplicated": 17730, + "ĠHollow": 17731, + "lected": 17732, + "ĠDudley": 17733, + "bgcolor": 17734, + "Ġ202122": 17735, + "Ġta": 17736, + "Ġsubstitut": 17737, + "icol": 17738, + "ĠAbdullah": 17739, + "ĠGhanaian": 17740, + "iew": 17741, + "ĠGandhi": 17742, + "SM": 17743, + "Ġcommerce": 17744, + "anions": 17745, + "Ġavailability": 17746, + "Ġsecretly": 17747, + "jord": 17748, + "ĠExc": 17749, + "ĠOlive": 17750, + "ĠHyde": 17751, + "unnels": 17752, + "ĠTaipei": 17753, + "Ġprojected": 17754, + "ĠPill": 17755, + "ĠAlps": 17756, + "1906": 17757, + "ourage": 17758, + "odyn": 17759, + "Ġwalks": 17760, + "Ġspite": 17761, + "Ġstruggles": 17762, + "Ġdisk": 17763, + "Ġmodest": 17764, + "voiced": 17765, + "Ġconsciousness": 17766, + "ĠMons": 17767, + "Ġ201011": 17768, + "NO": 17769, + "ĠEmmanuel": 17770, + "otypic": 17771, + "ĠIber": 17772, + "ifolia": 17773, + "ropolis": 17774, + "Ġcorrespondence": 17775, + "Ġoversee": 17776, + "Ġnave": 17777, + "Ġdrown": 17778, + "Ġconvey": 17779, + "Ġinquiry": 17780, + "ĠJet": 17781, + "Ġsoprano": 17782, + "ĠTheological": 17783, + "itian": 17784, + "iso": 17785, + "esque": 17786, + "ĠJh": 17787, + "ĠJamaican": 17788, + "Ġ113": 17789, + "Ġsends": 17790, + "Ġrecount": 17791, + "Ġamalg": 17792, + "Ġwitnessed": 17793, + "ĠMist": 17794, + "nick": 17795, + "Ġgraduates": 17796, + "Ġresolved": 17797, + "ĠPrairie": 17798, + "Ġinvaded": 17799, + "children": 17800, + "itsu": 17801, + "Ġlith": 17802, + "Ġsuspect": 17803, + "Ġcruise": 17804, + "Ġ\"\"": 17805, + "ĠKak": 17806, + "EG": 17807, + "adic": 17808, + "Ġscreened": 17809, + "Ġcharted": 17810, + "Ġ1819": 17811, + "ĠPatterson": 17812, + "ĠTracks": 17813, + "ĠPerm": 17814, + "ĠNest": 17815, + "Ġfundra": 17816, + "ĠMB": 17817, + "ĠInver": 17818, + "Ġ1801": 17819, + "ĠMagazines": 17820, + "Ġmouse": 17821, + "Ġskiers": 17822, + "Ġdil": 17823, + "Ġchaired": 17824, + "Ġje": 17825, + "Ġreliable": 17826, + "ĠCommunities": 17827, + "ĠHastings": 17828, + "gon": 17829, + "ĠSain": 17830, + "Ġbarri": 17831, + "ingers": 17832, + "Ġdecorations": 17833, + "ĠKurdish": 17834, + "Ġ?": 17835, + "Ġanarch": 17836, + "ĠMagdal": 17837, + "ĠRescue": 17838, + "lantic": 17839, + "ĠAntwerp": 17840, + "ĠDiss": 17841, + "ĠBR": 17842, + "ĠOmar": 17843, + "ĠJoey": 17844, + "ĠAutonomous": 17845, + "Ġfusion": 17846, + "Ġadmission": 17847, + "Ġspeeds": 17848, + "Ġpier": 17849, + "Ġdishes": 17850, + "Ġric": 17851, + "ĠCongressional": 17852, + "ĠDuff": 17853, + "ĠSob": 17854, + "Ġfed": 17855, + "ĠPearson": 17856, + "cies": 17857, + "Ġmeteor": 17858, + "Ġvoluntary": 17859, + "ĠAmar": 17860, + "Ġautobiography": 17861, + "Ġairfield": 17862, + "Ġresur": 17863, + "ĠWeight": 17864, + "rape": 17865, + "owo": 17866, + "203": 17867, + "kind": 17868, + "Ġunanimous": 17869, + "ĠGloucester": 17870, + "Ġ1823": 17871, + "ĠCic": 17872, + "ĠGior": 17873, + "ĠColleges": 17874, + "ĠLuck": 17875, + "ounce": 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"Ġbush": 17929, + "Ġjudgment": 17930, + "ĠTarg": 17931, + "ĠMO": 17932, + "flow": 17933, + "etian": 17934, + "Ġoperas": 17935, + "Ġstaying": 17936, + "eping": 17937, + "Ġthrowing": 17938, + "ĠMord": 17939, + "ĠHag": 17940, + "ĠEuc": 17941, + "Ġmarketed": 17942, + "ĠTwins": 17943, + "ĠCarpenter": 17944, + "ĠHyderabad": 17945, + "NG": 17946, + "ĠThur": 17947, + "lesh": 17948, + "ivided": 17949, + "Ġmetaph": 17950, + "igm": 17951, + "Ġsummon": 17952, + "Ġeliminate": 17953, + "Ġlifted": 17954, + "ensions": 17955, + "ushi": 17956, + "represent": 17957, + "ĠCountess": 17958, + "Out": 17959, + "Ġsketch": 17960, + "Ġexhaust": 17961, + "Ġcapability": 17962, + "ĠLingu": 17963, + "Ġloose": 17964, + "Ġdust": 17965, + "Ġphilosophical": 17966, + "ĠMou": 17967, + "Ġdissolution": 17968, + "Ac": 17969, + "Ġpneum": 17970, + "Ġcanceled": 17971, + "rust": 17972, + "ĠTate": 17973, + "unders": 17974, + "ĠArcher": 17975, + "With": 17976, + "Ġtelesc": 17977, + "ongo": 17978, + "ĠDana": 17979, + "keys": 17980, + "Ġinterference": 17981, + "ĠCT": 17982, + "name": 17983, + "ĠReagan": 17984, + "urus": 17985, + "ignty": 17986, + "Bar": 17987, + "Ġinsisted": 17988, + "Ġbackup": 17989, + "Ġnoticed": 17990, + "ĠBelow": 17991, + "ĠDuchess": 17992, + "Ġtransmitter": 17993, + "Ġloaned": 17994, + "Ġreinforced": 17995, + "ĠJesuit": 17996, + "Ġmills": 17997, + "ĠVariety": 17998, + "Ġ($": 17999, + "Ġdecommission": 18000, + "grass": 18001, + "Ġdiagnosis": 18002, + "Ġlecture": 18003, + "ĠFritz": 18004, + "Ġcognitive": 18005, + "ĠVerde": 18006, + "ĠDresden": 18007, + "igon": 18008, + "Ġadds": 18009, + "hell": 18010, + "ovsk": 18011, + "ryn": 18012, + "Ġamphib": 18013, + "Ġcelebrity": 18014, + "Nor": 18015, + "Dem": 18016, + "ĠLandmarks": 18017, + "ĠWire": 18018, + "ĠWriter": 18019, + "Ġexercises": 18020, + "Ġimmigrant": 18021, + "ĠAttack": 18022, + "ycl": 18023, + "Ġseating": 18024, + "Ġreunited": 18025, + "rade": 18026, + "ovic": 18027, + "Ġproc": 18028, + "Ġluxury": 18029, + "league": 18030, + "ĠBoul": 18031, + "Ġinterrupted": 18032, + "obic": 18033, + "ĠShire": 18034, + "ĠRebellion": 18035, + "ĠMonastery": 18036, + "ĠCarmel": 18037, + "Ġlanes": 18038, + "onge": 18039, + "ischen": 18040, + "inction": 18041, + "ĠBrady": 18042, + "ĠBaj": 18043, + "ĠPasc": 18044, + "oren": 18045, + "ĠVeterans": 18046, + "ĠReference": 18047, + "ĠCliff": 18048, + "ĠAmbassadors": 18049, + "ĠJerome": 18050, + "reshold": 18051, + "abis": 18052, + "ĠWien": 18053, + "abulary": 18054, + "rospective": 18055, + "rar": 18056, + "ĠGiant": 18057, + "ĠTeaching": 18058, + "ĠFitzg": 18059, + "Ġsizes": 18060, + "Ġsou": 18061, + "Ġcanoe": 18062, + "ĠBasque": 18063, + "PI": 18064, + "Ġ~": 18065, + "chich": 18066, + "Ġdorm": 18067, + "Ġplaque": 18068, + "mand": 18069, + "Ġdemo": 18070, + "ĠSites": 18071, + "comed": 18072, + "Ġsuperhero": 18073, + "ĠHonda": 18074, + "Ġhiding": 18075, + "islav": 18076, + "ĠFrontier": 18077, + "Ġ1817": 18078, + "Ġviewing": 18079, + "endra": 18080, + "ĠWak": 18081, + "Ġanthe": 18082, + "ĠCBC": 18083, + "itational": 18084, + "Ġgest": 18085, + "ĠClaus": 18086, + "ĠAdj": 18087, + "Ġpianists": 18088, + "ĠWilliamson": 18089, + "Ġjumping": 18090, + "prov": 18091, + "ĠSalis": 18092, + "ĠStalin": 18093, + "ostic": 18094, + "ĠGalway": 18095, + "ĠFlat": 18096, + "Ġsued": 18097, + "Ġrequests": 18098, + "idia": 18099, + "ĠClinical": 18100, + "igl": 18101, + "ĠCey": 18102, + "ĠBrett": 18103, + "Ġinscriptions": 18104, + "Ġalpine": 18105, + "ĠTil": 18106, + "ĠHonduras": 18107, + "ĠWolfgang": 18108, + "ĠBeast": 18109, + "130": 18110, + "ĠKub": 18111, + "Ġsemin": 18112, + "Ġshrine": 18113, + "1901": 18114, + "bay": 18115, + "Ġillustrator": 18116, + "ĠJenny": 18117, + "Ġpottery": 18118, + "ĠCoc": 18119, + "ashing": 18120, + "Ġmachinery": 18121, + "ĠMai": 18122, + "ĠBound": 18123, + "Ġkin": 18124, + "Ġsad": 18125, + "ĠBlind": 18126, + "Ġfinite": 18127, + "ĠMarcos": 18128, + "ĠKov": 18129, + "Ġdetention": 18130, + "ĠCompetitors": 18131, + "gt": 18132, + "ĠBihar": 18133, + "Ġdelegate": 18134, + "Ġvoltage": 18135, + "ĠGenesis": 18136, + "jar": 18137, + "ĠEntry": 18138, + "Ġlas": 18139, + "opters": 18140, + "ĠAnimals": 18141, + "ĠMonthly": 18142, + "agara": 18143, + "1903": 18144, + "Ġconson": 18145, + "ĠElena": 18146, + "ĠEnsemble": 18147, + "ĠBetter": 18148, + "Ġcritically": 18149, + "Em": 18150, + "ĠYah": 18151, + "warf": 18152, + "ĠBusinesspeople": 18153, + "ĠKannada": 18154, + "ocus": 18155, + "Ġfacts": 18156, + "ĠCot": 18157, + "ĠHolt": 18158, + "ĠDram": 18159, + "ĠCoastal": 18160, + "ĠBarton": 18161, + "Ġopinions": 18162, + "ainted": 18163, + "Ġaddresses": 18164, + "Ġdrainage": 18165, + "rowing": 18166, + "ĠCedar": 18167, + "ĠGerm": 18168, + "ĠScientists": 18169, + "Ġportfolio": 18170, + "Ġframes": 18171, + "ĠGastropods": 18172, + "Ġphilosophers": 18173, + "Ġconsecrated": 18174, + "ND": 18175, + "akala": 18176, + "Ġundertook": 18177, + "ebe": 18178, + "VR": 18179, + "breaking": 18180, + "ĠCaesar": 18181, + "Ġcarn": 18182, + "ĠSingers": 18183, + "strm": 18184, + "ĠQuant": 18185, + "Ġdropping": 18186, + "ĠCarbon": 18187, + "enne": 18188, + "ĠCharity": 18189, + "asive": 18190, + "ĠAless": 18191, + "ĠCollabor": 18192, + "Ġstatues": 18193, + "owitz": 18194, + "ĠAin": 18195, + "main": 18196, + "Ġschemes": 18197, + "Cap": 18198, + "ouds": 18199, + "Ġsmoke": 18200, + "ĠYun": 18201, + "Bo": 18202, + "opa": 18203, + "artment": 18204, + "ĠSchwar": 18205, + "unched": 18206, + "Ġappealed": 18207, + "ĠInterest": 18208, + "Res": 18209, + "Ġcriminals": 18210, + "Ġchassis": 18211, + "atan": 18212, + "Ġdens": 18213, + "Ġdescendant": 18214, + "unciation": 18215, + "ĠStream": 18216, + "Ġhalls": 18217, + "thy": 18218, + "Ġfruits": 18219, + "cerpt": 18220, + "Ġguidelines": 18221, + "ĠTeachers": 18222, + "file": 18223, + "urned": 18224, + "afia": 18225, + "Spanish": 18226, + "110": 18227, + "Ġvine": 18228, + "ĠBottom": 18229, + "Ġspacecraft": 18230, + "Ġincl": 18231, + "Ġoverview": 18232, + "Ġparticle": 18233, + "ĠZoo": 18234, + "ebo": 18235, + "ĠClan": 18236, + "Ġclarinet": 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"Ġbrass": 18289, + "Ġ1806": 18290, + "Ġcommunes": 18291, + "Ġdestroyers": 18292, + "ĠClubs": 18293, + "vern": 18294, + "ĠCarlton": 18295, + "Ġcelebrations": 18296, + "heid": 18297, + "ysc": 18298, + "NY": 18299, + "LR": 18300, + "Lo": 18301, + "Ġvest": 18302, + "ethe": 18303, + "ndon": 18304, + "rified": 18305, + "ipelago": 18306, + "Ġinfant": 18307, + "Ġtallest": 18308, + "tti": 18309, + "Ġrode": 18310, + "Ġinequ": 18311, + "Ġbombers": 18312, + "Ġauxiliary": 18313, + "ĠBarrett": 18314, + "1902": 18315, + "Ġgarage": 18316, + "ĠCasc": 18317, + "baum": 18318, + "ĠYong": 18319, + "ĠMartine": 18320, + "Ġfolded": 18321, + "ĠKost": 18322, + "ĠCry": 18323, + "ĠWarwick": 18324, + "ĠXia": 18325, + "osity": 18326, + "avirus": 18327, + "FS": 18328, + "IO": 18329, + "ught": 18330, + "avers": 18331, + "limited": 18332, + "Ġcrafts": 18333, + "Ġmandatory": 18334, + "Ġpromising": 18335, + "ĠPromotion": 18336, + "ĠRit": 18337, + "Ġcorrel": 18338, + "ĠCounsel": 18339, + "Ġaffiliation": 18340, + "ĠCao": 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ro", + "Ġde c", + "Ġsh ow", + "ĠC ent", + "a id", + "Ġoff ic", + "Ġbu ild", + "Ġde velop", + "Ġo per", + "ĠOct ober", + "olog y", + "Ġg o", + "el f", + "Ġfam ily", + "Ġun til", + "Ġc ap", + "le v", + "ĠM an", + "x t", + "Ġm usic", + "Ġm ay", + "pr il", + "iz ed", + "ow ever", + "ĠJ une", + "a u", + "r and", + "Ġo wn", + "f ess", + "Ġn o", + "Ġre p", + "ĠJan uary", + "ic a", + "Ġor ig", + "er y", + "Ġm ain", + "m ber", + "Ġm od", + "Ġh igh", + "ĠAs s", + "ĠJu ly", + "en g", + "ĠAl l", + "Ġbir ths", + "emb ers", + "ĠC ar", + "1 0", + "l ish", + "ist or", + "Ġch ar", + "Ġb oth", + "ĠN orth", + "Ġplay ed", + "olle ge", + "Ġm on", + "Ġman y", + "Ġnum ber", + "ot t", + "et s", + "ĠC o", + "ĠLe ague", + "Ġex p", + "om an", + "Ġn ame", + "ut h", + "ampion ship", + "ĠA pril", + "cent ury", + "ward s", + "Ġb ack", + "Ġ19 2", + "ant s", + "v ed", + "i ent", + "ĠCan ad", + "ĠE uro", + "it t", + "ĠSe e", + "Ġrele ased", + "ce mber", + "Ġe m", + "st ru", + "ĠG u", + "ain ed", + "ĠB o", + "en e", + "i or", + "p le", + "Ġg u", + "g ram", + "1 7", + "ĠE d", + "is c", + "Ġfor mer", + "ĠC ol", + "ĠNov ember", + "it al", + "Ġse ver", + "iss ion", + "ĠA m", + "ĠEng lish", + "Ġan n", + "Ġw on", + "i um", + "in es", + "e c", + "he s", + "port s", + "Ġdes ign", + "p or", + "ic ip", + "ce pt", + "ĠRe g", + "ĠW ill", + "ĠDe cember", + "Ġm at", + "ĠC ity", + "Ġ1 4", + "ra ct", + "ĠF l", + "aj or", + "Ġdes c", + "y l", + "ros s", + "Ġ1 3", + "Ġl ife", + "Ġare a", + "im es", + "ir d", + "Ġst art", + "ĠC al", + "ĠA f", + "Ġor gan", + "r is", + "duc ed", + "Ġop en", + "Ġf eat", + "are d", + "ĠSt ate", + "re t", + "f l", + "Ġg ame", + "ag es", + "Ġd if", + "v ent", + "res ident", + "Ġr un", + "k et", + "u es", + "Ġfilm s", + "l ed", + "ro p", + "Ġpro du", + "p art", + "Ġ1 1", + "ar m", + "et y", + "Ġm en", + "Ġ201 0", + "Ġcl ass", + "ograph y", + "Ġ2 1", + "y le", + "Ġex t", + "ap an", + "il t", + "eb ru", + "Ġs m", + "lev ision", + "ebru ary", + "Ġpubl ic", + "un g", + "ĠK ing", + "ĠI I", + "Ġst ate", + "Ġsy stem", + "ĠP ar", + "Ġl ong", + "Ġo b", + "ual ly", + "Ġd r", + "ar ch", + "ĠB ro", + "f ul", + "Ġf inal", + "Ġc areer", + "il it", + "n er", + "ĠH is", + "Ġs ame", + "ul ar", + "an c", + "a use", + "Ġcall ed", + "am b", + "vi ew", + "Ġfollow ing", + "ĠF ebruary", + "in c", + "z e", + "ov e", + "y n", + "Ġret urn", + "Ġf in", + "on y", + "Ġc ity", + "Ġw ill", + "iv ision", + "ĠEuro pe", + "ĠS w", + "a f", + "h ip", + "Ġch ild", + "r at", + "al es", + "ak ing", + "Ġsever al", + "Ġcomm un", + "ren ch", + "il ity", + "Ġw omen", + "re nt", + "oin t", + "ĠM ed", + "or ks", + "ĠJ apan", + "s p", + "an ge", + "ch n", + "ial ly", + "c om", + "c on", + "ure d", + "Ġl ist", + "Ġs uc", + "ĠGe or", + "p ed", + "Ġe arly", + "Ġa ir", + "ĠB ar", + "Ġcont in", + "Ġ '", + "Ġto wn", + "Ġcomp et", + "Ġcl ub", + "ĠE l", + "Ġm in", + "Ġres ult", + "h am", + "ib le", + "1 2", + "ĠA nd", + "ĠH ar", + "ĠH istory", + "is ed", + "al ly", + "Ġs ince", + "ic es", + "ain s", + "st er", + "19 9", + "ĠThe y", + "ĠP art", + "b o", + "r ing", + "Ġn ear", + "ang u", + "Ġn amed", + "Ġorig inal", + "end ed", + "u ed", + "ĠCh rist", + "at a", + "Ġhe ad", + "ĠA b", + "1 6", + "Ġb el", + "Ġdis c", + "Ġpl ace", + "ĠF rench", + "id ed", + "i ence", + "Ġ201 1", + "ĠRe p", + "Ġc ur", + "Ġbe gan", + "il le", + "Ġt it", + "Ġus e", + "iv al", + "an e", + "re en", + "Ġpro gram", + "ĠU S", + "Ġv ill", + "Ġm ember", + "Ġm embers", + "1 5", + "Ġp rom", + "Ġhe ld", + "Ġan y", + "Ġl and", + "ĠCom p", + "Ġb ased", + "ain t", + "ĠR es", + "ĠM c", + "Ġthe se", + "Ġcomp le", + "b le", + "Ġap p", + "m e", + "Ġsup port", + "oun c", + "ĠAf ric", + "al ity", + "Ġg overnment", + "r ight", + "Ġ200 8", + "ĠR uss", + "Ġm et", + "Ġ201 2", + "Ġw e", + "ĠR o", + "a ugh", + "Ġ19 0", + "ĠA ir", + "Ġestabl ished", + "i ous", + "Ġal ong", + "Ġe ff", + "t he", + "Ġ ,", + "ĠE ast", + "ĠCh ampionship", + "Ġdesc rib", + "T he", + "in ess", + "Ġen g", + "ition s", + "ĠC ollege", + "Ġp ass", + "ĠWill iam", + "ĠG en", + "an a", + "od e", + ". .", + "Ġd ist", + "pe ct", + "al th", + "ad em", + "Ġ200 9", + "Ġloc ated", + "ur g", + "u k", + "ĠThe re", + "at or", + "ical ly", + "ĠH er", + "or m", + "ac ed", + "Ġd id", + "Ġl aw", + "in o", + "Ġc ol", + "Ġo cc", + "Ġchar act", + "che s", + "f ord", + "ĠAr t", + "c ol", + "at s", + "i en", + "ubl ic", + "ĠP eople", + "Ġp os", + "Ġy ou", + "Ġ201 3", + "ond on", + "ĠN e", + "oci ation", + "ĠIt al", + "Ġ200 6", + "Ġ200 7", + "Ġh ouse", + "Ġe ach", + "t o", + "ĠH igh", + "ing ton", + "ore d", + "Ġ201 4", + "ro w", + "Ġ201 6", + "Ġserv ed", + "our t", + "ĠF ilm", + "Ġto ok", + "qu e", + "Ġs im", + "k y", + "Ġ X", + "1 4", + "ĠRe c", + "Ġb and", + "Ġt r", + "Ġst ation", + "Ġh ome", + "ĠD istrict", + "Ġb us", + "av ing", + "ĠS y", + "ĠIn ternational", + "Ġb orn", + "Ġg ames", + "Ġn ational", + "m ed", + "ly mp", + "i et", + "ĠA c", + "Ġin st", + "Ġ201 5", + "re w", + "er g", + "Ġpro fess", + "in ed", + "Ġ201 8", + "ight s", + "p s", + "Ġcomp any", + "Ġl ine", + "Ġp erson", + "1 3", + "ĠO lymp", + "Ġpopul ation", + "Ġm ajor", + "Ġ18 9", + "ac es", + "our n", + "Ġ20 20", + "ĠD av", + "ill ion", + "ĠL iving", + "ĠL ondon", + "Ġ201 7", + "ĠSe c", + "Ġs l", + "Ġb as", + "Ġj oin", + "Ġsm all", + "Ġle g", + "Ġloc al", + "ĠInd ian", + "ĠL a", + "ard s", + "Ġv ari", + "Ġrece ived", + "Ġde b", + "Ġev ent", + "Ġ2 5", + "Ġgen eral", + "Ġman ag", + "Ġpubl ished", + "Ġte levision", + "ĠC up", + "et t", + "Ġcent ury", + "ĠN ot", + "ilit ary", + "s ide", + "et er", + "Ġ3 0", + "at ure", + "Ġ201 9", + "Ġsing le", + "Ġbu ilt", + "ĠS up", + "Ġv i", + "ĠPh il", + "a ul", + "Ġd ue", + "Ġc ould", + "Ġv ers", + "ĠH owever", + "Ġ $", + "Ġap pro", + "ar ge", + "Ġw orld", + "Ġspec ies", + "ar a", + "Ġc olle", + "um n", + "Ġsuc cess", + "ie f", + "ounc il", + "Ġp o", + "v ers", + "Ġst r", + "in t", + "Ġa round", + "ord ing", + "if ied", + "ĠA ng", + "uth or", + "id es", + "at ely", + "om in", + "ĠG l", + "Ġo ld", + "Ġed uc", + "ĠT r", + "arri ed", + "ĠL ist", + "ĠN o", + "Ġt erm", + "is on", + "ro l", + "ĠC or", + "um mer", + "Ġa ge", + "ff ic", + "l ing", + "ĠT ra", + "ĠH ouse", + "Ġhe l", + "Ġal ign", + "Ġe p", + "ord s", + "e f", + "oc ial", + "ĠP ark", + "r ation", + "Ġp resent", + "ĠP re", + "Ġle ft", + "Ġl ast", + "Ġs ix", + "ĠE n", + "Ġh istory", + "Ġn ow", + "i od", + "a im", + "Ġs aid", + "ĠS an", + "Ġt y", + "Ġ200 0", + "Ġrep resent", + "re et", + "a us", + "id d", + "ra ft", + "t t", + "Ġd ied", + "Ġplay er", + "op h", + "Ġ 0", + "Ġre st", + "1 1", + "Ġc amp", + "iz ation", + "ĠD uring", + "Ġc ar", + "Ġl a", + "um b", + "angu age", + "Ġto p", + "ne y", + "Ġp ar", + "ĠB r", + "on es", + "Ġvill age", + "Ġwith in", + "ĠM ich", + "Ġd et", + "iv en", + "Ġst yle", + "Ġf ive", + "Ġ200 5", + "Ġt ri", + "Ġn orth", + "Ġsh ort", + "Ġ2 4", + "v an", + "ĠR oy", + "Ġor der", + "ide o", + "Ġ18 8", + "Ġd ay", + "in k", + "ĠD es", + "o ks", + "et her", + "u f", + "Ġdescrib ed", + "ak es", + "s c", + "ow s", + "ur ther", + "19 8", + "ent ly", + "Ġth ird", + "Ġbuild ing", + "al k", + "Ġinclud e", + "ĠR iver", + "Ġinclud ed", + "Ġp ost", + "um ent", + "Ġd own", + "ast er", + "if orn", + "ĠP er", + "Ġdif fer", + "d ay", + "he m", + "ĠA g", + "Ġchild ren", + "Ġre port", + "ur s", + "ĠEng land", + "c o", + "ĠCh ar", + "Ġ202 1", + "att le", + "Ġre f", + "vi ous", + "Ġre qu", + "ĠS ch", + "ĠA ct", + "n a", + "er a", + "feren ce", + "Ġbec ause", + "ke y", + "t ain", + "iforn ia", + "Ġad m", + "ĠB y", + "th ough", + "Ġann oun", + "Ġl arge", + "Ġcons id", + "iv ely", + "re g", + "ĠG ro", + "ĠM al", + "Ġs outh", + "g round", + "Ġs on", + "ĠAustral ia", + "Ġ200 4", + "ic o", + "Ġd em", + "rid ge", + "ri end", + "Ġd istrict", + "ĠCal ifornia", + "l er", + "col or", + "Ġst and", + "ĠP ort", + "ĠB ra", + "Ġm ark", + "ĠM on", + "os p", + ". ,", + "use um", + "ct ure", + "Ġar ch", + "Ġp ower", + "inn ing", + "Ġst at", + "Ġbo ok", + "uc k", + "od y", + "ĠY ou", + "ĠPart y", + "en cy", + "Ġl o", + "Ġdeath s", + "ri pt", + "Ġ202 2", + "Ġc rit", + "ad io", + "it er", + "part ment", + "land s", + "in ing", + "Ġw ar", + "con om", + "um an", + "Ġappe ar", + "Ġc or", + "ĠD em", + "Ġm ale", + "Ġl arg", + "k a", + "Ġis s", + "ĠR oman", + "re st", + "Ġ18 6", + "Ġj ust", + "ist er", + "Ġ2 2", + "Ġre pl", + "ĠB el", + "c er", + "al d", + "al f", + "Ġw ater", + "Ġserv ice", + "g ed", + "Ġper iod", + "Ġn on", + "Ġper form", + "Ġadd ition", + "n ess", + "Ġres p", + "v es", + "Ġk ill", + "am ent", + "oci ety", + "ĠA nt", + "Ġde p", + "ee k", + "Ġv is", + "he l", + "our s", + "e le", + "Ġre fer", + "ĠS m", + "a ff", + "er ing", + "ĠO ne", + "Ġmov ed", + "ĠA ward", + "en se", + "Ġc r", + "ĠE m", + "Ġdiffer ent", + "iz e", + "Ġcur rent", + "ĠAustral ian", + "Ġro und", + "Ġl ike", + "ot e", + "rib ut", + "5 0", + "ĠAr my", + "Ġ2 3", + "Ġinc re", + "om b", + "Ġm illion", + "Ġl ed", + "k i", + "l ine", + "ĠN or", + "p ar", + "Ġt rad", + "Ġbus iness", + "am a", + "ĠA cc", + "t al", + "av y", + "her n", + "ĠM inist", + "Ġan other", + "Ġth ose", + "o on", + "Ġh istor", + "ĠR ober", + "op s", + "o f", + "Ġsh ip", + "Ġ18 7", + "Ġe qu", + "Ġst ill", + "and er", + "Ġ if", + "Ġf ather", + "Ġ el", + "Ġf ield", + "Ġw est", + "ĠJ ames", + "Ġd el", + "ĠInd ia", + "Ġex per", + "Ġa uthor", + "i ber", + "ĠM or", + "ĠSt e", + "d e", + "ep end", + "Ġf ac", + "c hed", + "iv il", + "Ġact iv", + "Ġh and", + "Ġcomp os", + "ĠCh urch", + "ĠM usic", + "Ġbe st", + "ĠGen eral", + "ĠFran ce", + "Ġp ort", + "Ġk m", + "o x", + "Ġannoun ced", + "Ġin ternational", + "Ġdeb ut", + "stru ction", + "Ġtit le", + "Ġcount ry", + "d om", + "ĠQ u", + "Ġs old", + "Ġf em", + "ĠTh om", + "Ġw in", + "as es", + "Ġ200 3", + "v ille", + "Ġ( )", + "Ġestabl ish", + "ĠY ear", + "19 7", + "u el", + "Ġcharact er", + "Ġe ast", + "Ġpolit ic", + "ĠGeor ge", + "ĠD ivision", + "f ield", + "un icip", + "us h", + "Ġs ide", + "c ast", + "Ġp at", + "Ġd ra", + "b e", + "ĠRoy al", + "Ġc ult", + "ourn al", + "ĠA p", + "an ish", + "re ad", + "Ġn ov", + "Ġa v", + "g color", + "Ġpre vious", + "ĠM ount", + "g in", + "Ġm ake", + "ĠEurope an", + "Ġ very", + "ri es", + "a el", + "ĠQ ue", + "ĠP e", + "ort hern", + "Ġa ward", + "ĠCl ub", + "ĠCanad ian", + "Ġset t", + "ug g", + "ĠAc adem", + "Ġele ction", + "Ġpro ject", + "ip p", + "l in", + "le x", + "ĠP al", + "Ġam ong", + "m s", + "ap p", + "ab or", + "Ġw orks", + "ĠV al", + "ĠG r", + "Ġ2 6", + "ĠCanad a", + "Ġ200 2", + "ĠE le", + "i us", + "ĠR ich", + "Ġf r", + "al ign", + "Ġro le", + "g es", + "Ġpro duced", + "ĠW hen", + "w ork", + "ĠP aul", + "Ġf e", + "Ġm ag", + "pl oy", + "for man", + "Ġle vel", + "ĠB u", + "o ff", + "Ġof ten", + "ol ution", + "Ġa ff", + "Ġl ate", + "Ġs pe", + "Ġre ad", + "Ġw eb", + "a pe", + "ĠDav id", + "ĠC ouncil", + "Ġth ough", + "Ġinv ol", + "Ġre se", + "Ġb gcolor", + "ĠF ootball", + "Ġp e", + "Ġ199 0", + "it ar", + "st on", + "at ch", + "Ġwrit ten", + "Ġex pl", + "Ġ2 8", + "Ġ2 7", + "or ies", + "im ent", + "ĠL ou", + "Ġeng ine", + "Ġf ore", + "ĠH ol", + "Ġep is", + "ĠAss ociation", + "Ġ es", + "stit ute", + "Ġad v", + "b ack", + "Ġte chn", + "ac ks", + "Ġ200 1", + "ĠW ith", + "b an", + "ĠR ed", + "Ġstart ed", + "Ġev en", + "ĠD r", + "umn i", + "Ġyou ng", + "Ġp oss", + "Ġall ow", + "o le", + "em pt", + "Ġcl os", + "iv id", + "o e", + "ro te", + "Ġm arried", + "it or", + "Ġg rad", + "ĠR ail", + "v al", + "Ġc ame", + "Ġoffic ial", + "Ġin it", + "Ġc over", + "Ġim port", + "ĠP resident", + "Ġcre ated", + "ĠAmer ica", + "ou ther", + "Ġw ent", + "form ation", + "Ġg iven", + "Ġs ite", + "Ġto tal", + "ol ic", + "g y", + "ir c", + "ĠSt reet", + "al t", + "Ġst ru", + "Ġe very", + "ĠF irst", + "Ġt urn", + "outher n", + "Ġcommun ity", + "y a", + "ĠF rom", + "ĠS ing", + "er ation", + "w est", + "oin ted", + "ĠSt ud", + "3 0", + "Ġjoin ed", + "ra p", + "om et", + "Ġv al", + "Ġeff ect", + "ĠH istor", + "it te", + "ĠK h", + "Ġra il", + "ot s", + "Ġpolit ical", + "Ġch ang", + "Ġwork ed", + "Ġwh at", + "Ġp res", + "Ġcon c", + "i j", + "Ġvari ous", + "ir on", + "Ġf re", + "Ġdevelop ment", + "ag o", + "ber t", + "ĠS en", + "ree k", + "ĠT own", + "Ġcon f", + "pos ed", + "s ite", + "ĠT rans", + "b or", + "ir l", + "Ġpro cess", + "m a", + "Ġ1 00", + "Ġt w", + "Ġv ideo", + "e al", + "Ġprofess ional", + "Ġele ct", + "her s", + "Ġf act", + "Ġm ilitary", + "ĠS l", + "ac hed", + "' t", + "ĠUn ion", + "Ġvers ion", + "at ic", + "olog ical", + "at ri", + "ĠGerman y", + "op e", + "re am", + "ĠGro up", + "Ġm uch", + "s elf", + "Ġpro te", + "Ġprodu ction", + "Ġh aving", + "Ġne xt", + "Ġcomm on", + "Ġb re", + "Ġcl aim", + "Ġbec ome", + "Ġspec ial", + "Ġg r", + "h old", + "ĠM art", + "Ġs ent", + "ĠH en", + "Ġm iss", + "Ġh ost", + "ĠB er", + "og n", + "Ġs w", + "ĠJ e", + "h ib", + "ĠV ir", + "ĠM ary", + "ĠM ag", + "Ġ198 0", + "ĠS er", + "ĠRo ad", + "o or", + "Ġus ing", + "ĠW e", + "Ġp ri", + "ĠBl ack", + "ĠAr ch", + "Ġ [", + "Ġdire ct", + "Ġreturn ed", + "ĠMe x", + "19 6", + "Ġw rote", + "Ġint ro", + "ĠP ri", + "Ġs it", + "Ġp resident", + "Ġpr im", + "m en", + "Ġt em", + "ĠItal ian", + "ĠM y", + "ĠJapan ese", + "Ġ199 9", + "est s", + "Ġ2 9", + "Ġg l", + "ĠAfric an", + "in ation", + "ĠT ur", + "Ġpos ition", + "Ġmat ch", + "h a", + "Ġan t", + "ict ion", + "ĠL aw", + "Ġdire ctor", + "i ography", + "m ing", + "ĠH all", + "oin ts", + "Ġteam s", + "Ġt ake", + "ĠW omen", + "Ġm ult", + "Ġch urch", + "Ġsong s", + "fl u", + "ĠThe se", + "Ġopen ed", + "Ġper forman", + "B C", + "ct s", + "il ar", + "ĠComm un", + "ĠW ash", + "ĠPro v", + "ivid ual", + "Ġf ew", + "Ġev ents", + "id a", + "Ġf un", + "ell ow", + "ĠG ames", + "Ġbe h", + "se qu", + "ĠS am", + "ĠRober t", + "arl iam", + "Ġv ol", + "ak en", + "ib r", + "itt le", + "ĠRuss ian", + "ĠLe g", + "an i", + "ent ion", + "e ad", + "ĠCh ina", + "oc rat", + "u le", + "ĠB est", + "l o", + "arliam ent", + "ar ian", + "g er", + "C A", + "ĠSc ott", + "2 1", + "Ġt imes", + "t ra", + "Ġst ory", + "Ġs ol", + "ĠO ther", + "ec ut", + "Ġpart icip", + "Ġw ay", + "Ġv oc", + "Ġfootball ers", + "y ing", + "ri an", + "Ġalbum s", + "ĠAcc ording", + "augh ter", + "Ġbe g", + "Ġh ig", + "ĠM ad", + "est ed", + "ĠC ap", + "ĠPl ay", + "un t", + "Ġf riend", + "Ġ199 8", + "ĠWash ington", + "it z", + "ĠC ourt", + "n ing", + "ic le", + "Ġatt ack", + "ket ball", + "ĠM iss", + "Ġro ad", + "stit ut", + "our ces", + "itte e", + "il es", + "an ies", + "Ġim p", + "Ġadm inist", + "ĠC ast", + "Ġpopul ar", + "Ġbro ther", + "Ġne ed", + "Ġwith out", + "ĠComp any", + "is l", + "ĠC ont", + "ĠThom as", + "at ter", + "Ġserv ices", + "ra g", + "an ces", + "a ur", + "Ġreg ion", + "end ing", + "Ġp ract", + "ĠS erv", + "Ġstud ents", + "idd le", + "Ġs k", + "Ġs ocial", + "od es", + "ĠC ath", + "Ġt er", + "ĠM en", + "ers hip", + "ĠS al", + "e x", + "wo od", + "ĠK n", + "a ign", + "Ġh alf", + "Ġbro ad", + "y ear", + "2 2", + "Ġg reat", + "Ġf ull", + "r ated", + "Ġcontin ued", + "Ġ197 0", + "Ġl ost", + "ĠA wards", + "ĠKing dom", + "ain ing", + "ĠCent ral", + "ĠS ociety", + "ac y", + "c raft", + "Ġco ach", + "y m", + "Ġm id", + "ĠM ont", + "ĠG rand", + "Ġal umni", + "ĠO p", + "us ed", + "Ġeduc ation", + "ra b", + "Ġrese arch", + "are nt", + "Ġ199 6", + "Ġatt empt", + "Ġs qu", + "Ġd ays", + "is ing", + "Ġh owever", + "ĠI r", + "b urg", + "Ġse e", + "ĠCh in", + "ens us", + "ĠRec ords", + "Ġprom ot", + "ap er", + "ĠM useum", + "4 0", + "Ġcomple ted", + "on a", + "Ġpro duc", + "Ġele cted", + "Ġapp ointed", + "ĠA lex", + "at ors", + "ĠChar les", + "ill s", + "ĠFl or", + "Ġcom b", + "ĠIs land", + "Ġinv est", + "Ġind ust", + "Ġin f", + "Ġ ident", + "est ival", + "in i", + "ĠD on", + "cent er", + "Ġpart y", + "ĠM et", + "Ġfound ed", + "Ġcont rol", + "Ġdire cted", + "ĠE duc", + "ĠCent er", + "Ġrecord ed", + "ĠTe x", + "Ġl im", + "Ġa ver", + "ific ation", + "u it", + "Ġr ight", + "ĠI m", + "r d", + "Ġ199 7", + "Ġsign ed", + "ĠE arly", + "Ġw ife", + "Ġe conom", + "ĠS ummer", + "amp le", + "l ess", + "Ġp oints", + "ber g", + "Ġpro per", + "Ġle ague", + "w h", + "as ons", + "Ġgroup s", + "Ġare as", + "2 3", + "Ġre view", + "Ġ18 5", + "Ġ /", + "ĠDe partment", + "Ġb ase", + "n el", + "Ġconsid ered", + "ish ing", + "ĠS im", + "Ġcon ne", + "Ġra ce", + "r ay", + "ĠAng el", + "ĠWest ern", + "Ġ202 3", + "ĠO ffic", + "Ġp oint", + "ĠJ ew", + "pl ay", + "Ġh on", + "ĠC he", + "Ġpart ic", + "Ġse le", + "at ural", + "ĠFran c", + "Ġre n", + "Ġf ind", + "Ġf urther", + "ĠV ict", + "j e", + "Ġm ar", + "= #", + "ĠT o", + "Ġc oll", + "ĠT V", + "Ġrel ations", + "ĠIn stitute", + "Ġc aus", + "ar ies", + "Ġv ict", + "ĠG old", + "ĠAcadem y", + "ĠLou is", + "ell s", + "Ġsim ilar", + "ĠOlymp ics", + "il i", + "Ġde g", + "ĠB ay", + "th let", + "Ġh old", + "ĠMich ael", + "Ġind ividual", + "way s", + "Ġto g", + "Ġre al", + "Ġpr iv", + "ĠG reat", + "Ġvi ew", + "ĠM ac", + "Ġweb site", + "Ġ z", + "id ence", + "ĠZ eal", + "Ġt en", + "ĠP ress", + "Ġtog ether", + "Ġ199 5", + "u ation", + "um p", + "Ġrele ase", + "ra in", + "ĠP at", + "ĠC ong", + "ĠZeal and", + "Ġ199 2", + "ric k", + "Ġin flu", + "ot a", + "ĠVir gin", + "ĠV ol", + "Ġreport ed", + "ĠChrist ian", + "Ġc ase", + "Ġappe ared", + "ĠM us", + "ĠRep ublic", + "ĠM er", + "ĠU K", + "et work", + "Ġ199 4", + "| |", + "ar ter", + "ar th", + "Ġs ports", + "Ġoff ice", + "ĠSp anish", + "ĠChin ese", + "Ġm other", + "ou l", + "ed eral", + "ĠAfric a", + "Ġtra ck", + "ĠK ore", + "m ar", + "Ġw eek", + "2 5", + "Ġ3 1", + "c ks", + "ĠT om", + "Ġ5 0", + "Ġm y", + "Ġk e", + "i que", + "Ġme et", + "Ġnov el", + "Ġcon d", + "Ġbir th", + "Ġdevelop ed", + "en c", + "Ġform ed", + "Ġin s", + "Ġh ous", + "it ive", + "y d", + "ak er", + "Ġ196 0", + "it ing", + "Ġmed al", + "ĠB ur", + "Ġhel p", + "Ġa ut", + "ĠCar ol", + "Ġgu itar", + "ad es", + "Ġla un", + "Ġass ist", + "ĠB en", + "Ġph ot", + "ĠIn ter", + "ĠT er", + "ul a", + "k n", + "ĠD an", + "ap t", + "Ġwork ing", + "e h", + "du ction", + "Ġd oc", + "Ġar r", + "Ġm aking", + "Ġimport ant", + "Ġto urn", + "c le", + "ĠG reen", + "i ers", + "Ġarch ite", + "ĠH am", + "ĠTex as", + "ail ed", + "ud e", + "re land", + "Ġart ist", + "Ġc ast", + "ĠWh ite", + "ĠP et", + "Ġgro w", + "ed y", + "Ġm unicip", + "Ġap pl", + "Ġg ood", + "im ately", + "it ted", + "ĠWh ile", + "ĠD el", + "Ġv ot", + "b and", + "ĠP ublic", + "Ġof fer", + "t a", + "id ing", + "ĠK e", + "ĠB as", + "c ial", + "ĠS ports", + "g o", + "Ġl ess", + "Ġtrad ition", + "Ġschool s", + "m on", + "ert ain", + "ic les", + "ĠMinist er", + "r as", + "ĠJ ose", + "Ġl ive", + "id ae", + "al a", + "ĠC ons", + "Ġd ata", + "ro ll", + "one y", + "it her", + "Ġph ys", + "Ġf und", + "Ġ199 3", + "ĠDem ocrat", + "Ġty p", + "Ġother s", + "ens ive", + "Ġh uman", + "Ġsh ould", + "Ġd aughter", + "ol a", + "ĠT or", + "ab ly", + "epend ent", + "at ives", + "Ġem ploy", + "Ġro ck", + "Ġd i", + "Ġgro und", + "ĠP eter", + "osp ital", + "Ġre v", + "ĠFran k", + "Ġrec ogn", + "Ġm ater", + "Ġhim self", + "Ġst ar", + "overn or", + "all s", + "v iron", + "Ġbuild ings", + "Ġde cl", + "Ġ =", + "re y", + "ĠCath olic", + "ĠM el", + "ĠS ong", + "ut y", + "ĠRich ard", + "le g", + "Ġr ul", + ") :", + "Ġac ross", + "az ine", + "Ġav ail", + "Ġf ire", + "Ġcomp anies", + "ĠS ur", + "g en", + "h i", + "ic ation", + "ĠSw ed", + "19 5", + "al y", + "ĠB ill", + "Ġb ody", + "p ite", + "s y", + "en a", + "ate g", + "ol f", + "Ġan im", + "ant ed", + "Ġcamp aign", + "Ġst ations", + "and ing", + "at re", + "Ġl anguage", + "sh ire", + "m ost", + "ri a", + "Ġe ight", + "19 4", + "um e", + "Ġdo es", + "ĠW il", + "b our", + "Ġaver age", + "ĠM ass", + "ĠL u", + "ĠU p", + "ĠF ore", + "Ġm ot", + "Ġ199 1", + "ce ed", + "Ġbl ack", + "Ġqu al", + "Ġex ist", + "Ġbec om", + "ĠPar is", + "ĠSec ond", + "Ġplay ing", + "ut es", + "ric ket", + "o ice", + "ra el", + "ĠL at", + "Ġt ro", + "g ress", + "Ġmod ern", + "Ġl ow", + "ĠHen ry", + "em or", + "Ġdef e", + "ĠSup er", + "ĠVict or", + "he ast", + "19 3", + "Ġh ow", + "ĠS ant", + "Ġepis ode", + "Ġ18 4", + "Ġp aint", + "st ro", + "Ġc le", + "Ġ et", + "ĠC ro", + "Ġgrad u", + "o res", + "S t", + "z il", + "Ġst age", + "Ġd ivision", + "Ġd ram", + "Ġex ample", + "Ġd er", + "ĠGeor g", + "Ġc ross", + "em ents", + "Ġ4 0", + "w rit", + "ud d", + "Ġr adio", + "ad a", + "Ġne ver", + "Ġl iving", + "air s", + "ĠD ire", + "Ġperform ed", + "h ood", + "Ġf oc", + "ĠL os", + "Ġfem ale", + "emb ly", + "ch ie", + "oc key", + "and id", + "Ġw inn", + "eth od", + "ĠH on", + "Ġl ight", + "ĠS ome", + "Ġse par", + "Ġart ists", + "Ġbel ie", + "ĠRe v", + "Ġf ree", + "ĠSm ith", + "Ġpolitic ian", + "Ġac qu", + "ĠP enn", + "Ġass oci", + "w are", + "ĠOr der", + "Ġf ight", + "t ime", + "ur a", + "ent ial", + "Ġcont ract", + "ov iet", + "2 4", + "ĠChampionship s", + "ĠL ake", + "ĠB ut", + "ibr ary", + "ough t", + "Ġstr ong", + "ign ed", + "Ġsuccess ful", + "Ġmon ths", + "ĠF C", + "Ġre d", + "Ġkill ed", + "at ory", + "im ate", + "Ġfin ished", + "ĠEduc ation", + "av al", + "Ġpl aces", + "id ents", + "Ġcon struction", + "ĠCh ic", + "he ad", + "pe ople", + "k ed", + "ĠI reland", + "ĠO l", + "Ġg ave", + "Ġestablish ments", + "Ġ198 8", + "ĠC amp", + "Ġm us", + "av es", + "ĠG o", + "Ġavail able", + "ĠDe f", + "Ġcon du", + "Ġa way", + "Ġgo al", + "Ġ198 9", + "v a", + "Ġperforman ce", + "if f", + "ell ing", + "ĠO b", + "ĠS aint", + "Ġt re", + "Ġal though", + "id s", + "ĠP an", + "as c", + "ish op", + "Ġpro t", + "Ġbo oks", + "ran ch", + "il ities", + "viron ment", + "it a", + "ĠS pec", + "Ġj ournal", + "an o", + "Ġin formation", + "Ġ ide", + "ĠD ay", + "ad o", + "inal s", + "z a", + "ic ated", + "ĠFilm s", + "he re", + "ĠOlymp ic", + "Ġd am", + "ĠC ur", + "Ġt aken", + "ĠV ill", + "ĠW in", + "ĠNot es", + "le ft", + "ell a", + "Ġcap t", + "it ch", + "i qu", + "ĠBra zil", + "ĠIs rael", + "ĠD u", + "ific ant", + "Ġshow s", + "Ġfollow ed", + ", \"", + "Ġr ank", + "o o", + "Ġag re", + "ĠR ob", + "ĠC areer", + "Ġto ur", + "ug by", + "Ġc ost", + "Ġm ix", + "ĠVirgin ia", + "Ġhe alth", + "Ġfr ont", + "Ġj ud", + "om a", + "ĠG overnment", + "Ġinclud es", + "Ġaward ed", + "Ġc irc", + "ut ch", + "Ġtourn ament", + "Ġc our", + "ĠM a", + "ĠL ife", + "ĠM in", + "\" |", + "Ġfeat ures", + "ig an", + "Ġ :", + "ĠJ ust", + "I I", + "Ġvi ol", + "Ġoriginal ly", + "Ġdesign ed", + "s erv", + "ĠT our", + "ĠAt l", + "Ġhouse hold", + "ĠH ill", + "ag ed", + "nd er", + "n y", + "i os", + "Ġac cess", + "Ġmater ial", + "ĠTe am", + "Ġse ven", + "se c", + "Ġs en", + "ve y", + "Ġc ourt", + "ĠE mp", + "e g", + "ĠC arl", + "ĠIt s", + "ĠM r", + "Ġim pro", + "Ġp ut", + "om s", + "Ġc ivil", + "Ġrel ig", + "2 6", + "Ġrem ained", + "ĠP erson", + "ĠHistor ic", + "Ġs ound", + "ĠAr ts", + "Ġs il", + "ist an", + "Ġstud y", + "Ġl ab", + "en ed", + "ĠG all", + "ĠR ock", + "Ġon ce", + "ĠG ra", + "2 7", + "Ġfeat ured", + "Ġin j", + "Ġd ou", + "ĠRail way", + "er ous", + "ar ia", + "ĠS qu", + "Ġfor ces", + "atri ate", + "Ġsc ored", + "ĠL and", + "ur ity", + "Ġc y", + "Ġ ill", + "om m", + "Ġt est", + "Ġ #", + "Ġp ress", + "ac hes", + "Ġ198 7", + "ol k", + "Ġb ar", + "ĠChic ago", + "2 8", + "he st", + "it es", + "Ġmark et", + "Ġbas ketball", + "ip le", + "Ġde v", + "Ġre b", + "Ġsing er", + "Ġsign ificant", + "ĠM o", + "ach ing", + "ap s", + "il ies", + "Ġpl an", + "end er", + "Ġex ecut", + "r or", + "ĠS oviet", + "ic ations", + "re l", + "Ġlead ing", + "Ġtra ining", + "em s", + "ĠSc ot", + "v in", + "Ġpol ice", + "Ġmed ia", + "ĠFor ce", + "Ġe arn", + "ver t", + "ĠS ub", + "y e", + "ic y", + "Ġ195 0", + "ĠM il", + "C h", + "Ġm ount", + "Ġlarg est", + "Ġr ights", + "ĠS ir", + "ear ch", + "ĠComm ission", + "augh t", + "ĠT wo", + "ĠItal y", + "m ier", + "A mer", + "ĠS o", + "ĠPro fess", + "Ġ198 6", + "our ce", + "Ġm ust", + "Ġair craft", + "Ġst ri", + "ĠM od", + "Ġmod el", + "ut er", + "ĠMex ico", + "Ġ198 4", + "Ġch art", + "Ġen c", + "y p", + "Ġs em", + "ĠCl ass", + "ĠI ll", + "Ġthrough out", + "ĠPol it", + "Ġl iter", + "ist ics", + "ĠP arliament", + "Ġg old", + "Ġtrans fer", + "Ġcons ist", + "v ing", + "ĠS ince", + "ĠMar k", + "Ġinvol ved", + "Ġc ou", + "ĠC at", + "Ġlist ed", + "Ġsub sequ", + "ord er", + "Ġst ated", + "ien ces", + "Ġwh ite", + "ĠO ff", + "ĠAn n", + "Ġw id", + "un k", + "Ġbo ard", + "s el", + "Ġintro duced", + "Ġrepl aced", + "ĠIr ish", + "Ġs ugg", + "ann el", + "Ġe arl", + "Ġse en", + "Ġcompet ition", + "Ġb i", + "Ġ18 3", + "un s", + "ĠE r", + "ĠProv ince", + "ĠFlor ida", + "Ġc andid", + "Ġd iv", + "if t", + "6 0", + "2 9", + "Ġtrans l", + "ĠN avy", + "ĠM ur", + "Ġ198 5", + "Ġwrit er", + "Ġevent ually", + "Ġpriv ate", + "Ġv ia", + "Ġresp ons", + "rib ution", + "ut ure", + "ĠTe chn", + "Ġcrit ic", + "Ġresult s", + "Ġent ire", + "u ff", + "Ġvoc als", + "c her", + "Ġab le", + "u z", + "um m", + "ĠD o", + "te xt", + "Ġr an", + "Ġadd ed", + "ret ary", + "ĠAl though", + "Ġc ollege", + "ĠD en", + "Ġpro ble", + "ĠO per", + "ĠComm ittee", + "ĠF estival", + "Ġfour th", + "ĠS il", + "o ch", + "Ġp ast", + "Ġcount ries", + "ĠF in", + "as k", + "ĠB us", + "ro ad", + "A S", + "el t", + "ĠW ales", + "c ript", + "Ġw ind", + "ĠAngel es", + "y r", + "ĠO ver", + "Ġcent ral", + "Ġst e", + "Ġact ress", + "m b", + "uf act", + "Ġsur v", + "as ing", + "ul arly", + "Ġa ud", + "Ġwrit ers", + "u a", + "ian o", + "Ġcomm and", + "Ġass ociation", + "Ġle ast", + "m in", + "Ġres pect", + "i res", + "ĠBro wn", + "ĠE v", + "Ġl oss", + "yl van", + "Amer ican", + "Ġsp ace", + "por ary", + "Ġs er", + "A R", + "ĠSc ience", + "ĠO ut", + "mer cial", + "8 0", + "ĠN orthern", + "Ġun its", + "ĠM ost", + "ab ility", + "f ic", + "ĠR h", + "Ġn omin", + "ĠF ound", + "ĠSt ar", + "ĠRuss ia", + "Ġm inist", + "Ġs ch", + "b b", + "ok e", + "ĠU k", + "ĠG od", + "r up", + "Ġdeg ree", + "i ro", + "ĠCong ress", + "ĠCarol ina", + "Ġst aff", + "Ġdisc over", + "Ġ198 3", + "Ġr ange", + "Ġst ates", + "ib l", + "ĠAr g", + "ri al", + "Ġcl ose", + "ĠR os", + "Ġdoc ument", + "ra w", + "ĠJ un", + "Ġbroad cast", + "n ow", + "Ġf ig", + "Ġab ove", + "pl es", + "Ġre ached", + "med i", + "g ian", + "l or", + "Ġc ensus", + "ĠServ ice", + "st e", + "ant ic", + "Ġpl ant", + "ĠCol umb", + "ĠL iber", + "ĠE s", + "ĠC r", + "Ġch ange", + "erv e", + "T V", + "Ġprov ided", + "ĠJose ph", + "ĠO h", + "Ġse asons", + "Ġt reat", + "Ġcurrent ly", + "oy s", + "Ġex hib", + "ĠO ld", + "i ents", + "b ur", + "rough t", + "Ġg et", + "Ġcont ribut", + "Ġexp ress", + "ylvan ia", + "l im", + "Ġp ur", + "Ġe ither", + "Ġf av", + "Ġ( \"", + "Ġch ampionship", + "r ative", + "ĠS a", + "f ace", + "Ġtra vel", + "or por", + "Ġac cept", + "Ġpl aced", + "u x", + "sy ch", + "Ġmiss ing", + "Ġup on", + "ĠF re", + "al ed", + "F A", + "Ġrail way", + ") ;", + "bo ard", + "ĠS eries", + "Ġs aw", + "ad ium", + "Ġinter est", + "st ant", + "ian a", + "Ġstru ct", + "ĠC am", + "F L", + "ĠP ac", + "ab it", + "ist ic", + "ip l", + "Ġ198 2", + "Ġcent er", + "Ġm ur", + "w ell", + "Ġk ey", + "Ġ !", + "Ġa ction", + "ĠAss embly", + "a ut", + "ĠF ort", + "ĠD ou", + "Ġocc ur", + "ed s", + "Ġty pe", + "ĠM os", + "cept ion", + "Ġp ot", + "ĠM ic", + "kn own", + "p ly", + "is es", + "Ġc op", + "ĠF urther", + "ĠF ollow", + "Ġn ight", + "Ġa chie", + "ig er", + "g l", + "ĠS k", + "Ġd u", + "ĠR am", + "Ġatt ended", + "Ġ197 9", + "stit ution", + "Ġle arn", + "ĠM ill", + "Ġcharact ers", + "ĠB re", + "l anguage", + "ĠB attle", + "ĠA rab", + "Ġse x", + "ubl ican", + "ay ing", + "ĠM at", + "az z", + "Ġcap ital", + "p ress", + "ĠP opul", + "et te", + "Ġme as", + "Ġdec ided", + "ĠM ain", + "ĠW ood", + "Ġf if", + "l am", + "i h", + "ĠM ajor", + "ĠT ro", + "ele b", + "Ġar g", + "Ġdec ision", + ". )", + "ult ural", + "Ġprevious ly", + "Ġdra w", + "ĠRes earch", + "eng th", + "ar ily", + "ĠEmp ire", + "ĠG reek", + "ĠF red", + "ult ure", + "c a", + "Ġst re", + "Ġde stro", + "Ġne igh", + "Ġ197 2", + "Ġlead er", + "Ġh om", + "d en", + "ĠDemocrat ic", + "g r", + "Ġappro x", + "am ily", + "Ġstud io", + "Ġse ction", + "er o", + "Ġus ually", + "Ġme an", + "ĠPenn s", + "Ġ197 6", + "or ing", + "Ġm ass", + "ĠS ol", + "Ġdefe ated", + "ĠOffic ial", + "ĠH a", + "Ġsing les", + "and a", + "Ġed ition", + "ĠMart in", + "u an", + "ĠD utch", + "Ġre ve", + "Ġocc up", + "ow ers", + "st ra", + "re me", + "ĠC le", + "ĠS un", + "p ing", + "ĠFollow ing", + "Ġkn ow", + "Ġg rand", + "Ġn atural", + "Ġinst ead", + "Ġeff ort", + "ĠMed al", + "ĠJ im", + "ĠScott ish", + "Ġp ain", + "Ġpo et", + "Ġact or", + "Ġr iver", + "ĠSp ain", + "ch an", + "Ġf arm", + "Ġp arent", + "Ġacc ount", + "il s", + "ig a", + "ĠS ocial", + "ĠPenns ylvania", + "Ġb ur", + "B A", + "or a", + "Ġsub ject", + "st r", + "c el", + "c ell", + "Ġ198 1", + "Ġw inning", + "Ġproduc er", + "ĠG ar", + "inc ip", + "ans as", + "ĠM embers", + "Ġinvest ig", + "Ġwh ose", + "ult y", + "ult s", + "Ġm ethod", + "ĠW al", + "um ents", + "Ġpl ann", + "Ġ197 8", + "ĠL ove", + "Ġpart s", + "ĠIn c", + "Ġact ive", + "Ġ197 4", + "Ġrepresent ed", + "in ent", + "ĠM ilitary", + "Ġmov ement", + "at o", + "Ġg e", + "ĠH ow", + "Ġprim ary", + "Ġprov ide", + "ĠAs ian", + "Ġfam ilies", + "Ġcult ure", + "Ġ196 8", + "ĠP ak", + "w an", + "Ġrelations hip", + "Ġplay s", + "9 0", + "ĠL ater", + "ĠF inal", + "b ased", + "Ġf ar", + "Ġp ark", + "ĠR adio", + "Ġsc ient", + "Ġorgan iz", + "pt ion", + "Ġpr ison", + "ĠJ ud", + "Ġde al", + "ĠLe e", + "Ġp red", + "Ġn orthern", + "Ġ194 0", + "Ġs outhern", + "Ġbeh ind", + "Ġp urch", + "ĠE p", + "pos ition", + "r ig", + "Ġt ax", + "ĠH ot", + "cl us", + "ĠT w", + "ar io", + "Ġ197 5", + "ug u", + "ĠC ross", + "l a", + "ĠI ran", + "ĠYou ng", + "ig ital", + "Ġmus ical", + "ĠBu ild", + "ad y", + "ens ion", + "Ġs ize", + "y er", + "ĠC ivil", + "ĠCh ief", + "Ġb ank", + "Ġl ik", + "7 0", + "omet imes", + "Ġ197 7", + "se e", + "ri e", + "Ġl ower", + "ĠB ul", + "ing u", + "ĠBo ard", + "w er", + "ĠB et", + ".. .", + "Ġgo als", + "isc o", + "ĠS ar", + "ĠSp ace", + "Ġb rought", + "ĠP ost", + "Ġread ing", + "Ġco ast", + "Ġnew sp", + "ĠB ig", + "ĠB ase", + "erg y", + "Ġout side", + "ĠL oc", + "Ġac adem", + "ĠH el", + "Ġs us", + "s k", + "ĠS outhern", + "ĠReg ister", + "\" )", + "n ot", + "Ġp ers", + "Ġcolle ction", + "Ġh ard", + "Ġorgan ization", + "im b", + "ar ing", + "Ġc ut", + "Ġ i", + "ĠC D", + "end s", + "ĠH aw", + "Ġr ather", + "all ed", + "ĠB ack", + "ers ey", + "Ġ197 3", + "Ġf all", + "m ark", + "Ġclos ed", + "a o", + "Ġindust ry", + "Ġrun s", + "Ġwrit ing", + "al i", + "Ġn etwork", + "Ġg irl", + "Ġend ed", + "N A", + "Ġc ricket", + "ĠJ ack", + "Ġman ufact", + "Ġc are", + "h an", + "Ġdram a", + "Ġk ing", + "ĠL uc", + "or se", + "Ġfor ce", + "Ġsh ot", + "ir m", + "Ġfootball er", + "Ġ193 0", + "ĠAd m", + "it an", + "Ġsystem s", + "anc ial", + "p an", + "at i", + "pec ially", + "he t", + "aw a", + "ĠO x", + "I D", + "ĠEd ward", + "ĠEng ine", + "ct ive", + "Ġh it", + "ĠL ong", + "Ġes c", + "ul ation", + "oun ter", + "Ġposs ible", + "Ġw ood", + "Ġim m", + "ĠVal ley", + "ĠR el", + "Ġreg ard", + "ĠU nder", + "ĠT ri", + "Ġ194 5", + "Ġmat ches", + "m ond", + "Ġallow ed", + "Ġstud ies", + "ĠV er", + "ĠU r", + "ĠS pr", + "ĠT imes", + "Ġne g", + "Ġal most", + "it ors", + "ĠRep ublican", + "Ġreg ular", + "Ġ196 9", + "ven ue", + "id er", + "Ġstru cture", + "Ġst op", + "in ary", + "Ġ197 1", + "Ġmag azine", + "ĠJew ish", + "em ic", + "ur b", + "Ġchang ed", + "Ġcomm ission", + "Ġfre qu", + "c ient", + "enn is", + "ĠTe levision", + "in ated", + "l ike", + "ĠJ ul", + "ent h", + "Ġc at", + "ĠB ob", + "back ground", + "ĠP o", + "ĠB ank", + "Ġd en", + "ĠMich igan", + "Ġis land", + "c ing", + "Ġpl at", + "Ġsett le", + "Ġsch ol", + "ĠD isc", + "Ġlaun ched", + "Ġb all", + "ĠM ah", + "Ġoper ations", + "it iz", + "ĠC amb", + "air man", + "ov ers", + "Ġw oman", + "ĠPl aces", + "velop ment", + "Ġbeg inning", + "ac ing", + "Ġperson al", + "ĠJ er", + "ĠO s", + "Ġter rit", + "k o", + "Ġto wards", + "3 5", + "on n", + "Ġte xt", + "i as", + "Ġtrans port", + "ĠMc C", + "Ġgen us", + "ĠA thlet", + "Ġown ed", + "Ġdet erm", + "Ġt aking", + "Ġn ar", + "Ġf ood", + "ĠOp en", + "Ġmanag er", + "et ts", + "Ġacc ording", + "e es", + "Ġ196 7", + "Ġc ases", + "ĠT im", + "Ġm er", + "ĠH ung", + "ĠHe alth", + "ip s", + "y an", + "Ġn ames", + "ak a", + "Ġind ependent", + "Ġcon stru", + "Ġwh om", + "Ġp ay", + "us band", + "ĠV i", + "ly ing", + "Ġ196 4", + "ol s", + "Ġsc ience", + "Ġf a", + "Ġrem ov", + "Ġoffic er", + "Ġc red", + "ĠPhil ipp", + "Ġ )", + "ĠOh io", + "ĠB h", + "Ġsc ore", + "st ate", + "ĠK ent", + "Ġapprox imately", + "ĠIn f", + "Ġmin or", + "Ġv eh", + "ĠT op", + "Ġob serv", + "ĠL ine", + "ĠF r", + "7 5", + "ĠUn ivers", + "Ġcomp let", + "Ġbre ak", + "ĠR ou", + "im a", + "ĠPol and", + "Ġfun ction", + "ib ility", + "ĠJ o", + "b ury", + "ino is", + "Ġe ver", + "Ġsc reen", + "b on", + "Ġconc ern", + "Ġsp ent", + "Ġar my", + "ĠG al", + "ĠArg ent", + "Ġaddition al", + "ct ing", + "g a", + "pe cted", + "Ġsqu ad", + "Ġ6 0", + "ĠD is", + "o id", + "Ġph il", + "ĠII I", + "ĠA re", + "o ir", + "Ġnot ed", + "in et", + "ĠScot land", + "ĠM ot", + "ĠG h", + "Ġs elf", + "Ġob ject", + "en ced", + "Ġcomple x", + "Ġbo x", + "ir a", + "Ġc eleb", + "amp ions", + "ĠT re", + "ach us", + "ĠL ord", + "if y", + "w w", + "Ġiss ues", + "Ġcount y", + "ĠPol ish", + "Ġ19 20", + "os h", + "il ed", + "Ġch ief", + "ĠB or", + "en ces", + "Ġsen ior", + "es h", + "k ing", + "ĠQue en", + "Ġc he", + "Ġmon th", + "Ġb attle", + ": #", + "Ġcom mercial", + "ost on", + "Ġl ived", + "Ġs ummer", + "Ġele ctions", + "4 5", + "Ġits elf", + "Ġd ate", + "Ġmult iple", + "Ġrel ated", + "uf fer", + "ĠPac ific", + "Ġs at", + "read y", + "Ġpolitic ians", + "Ġfoc us", + "Ġhig hest", + "Ġro ute", + "ĠNew s", + "Ġso on", + "ĠM att", + "ĠJ r", + "ĠIll inois", + "Ġtradition al", + "d own", + "Ġto o", + "Ġl ittle", + "Ġf uture", + "Ġle t", + "Ġqu est", + "Ġes pecially", + "ĠDire ctor", + "Ġhig her", + "Ġopen ing", + "ay a", + "ard en", + "Ġsup er", + "Ġlo ok", + "ĠE nd", + "Ġ196 5", + "um s", + "Ġm oney", + "Ġc al", + "ac her", + "ĠO k", + "ĠBrit ain", + "Ġrequ ired", + "ĠRep resent", + "achus etts", + "f ect", + "Ġinter view", + "Ġun ion", + "ĠCon ference", + "ĠD i", + "ĠJ ersey", + "Ġ196 6", + "bur gh", + "em porary", + "ĠS and", + "ĠGeorg ia", + "Ġen vironment", + "r ich", + "ad or", + "Ġed itor", + "ct ic", + "ob al", + "Ġcont ains", + "Ġappear ance", + "ĠC y", + "ĠAs ia", + "Ġbel ow", + "Ġ18 0", + "k ins", + "Ġproper ty", + "Ġpri or", + "ĠG overnor", + "ĠA z", + "19 0", + "ĠC olle", + "ĠL ab", + "ĠMass achusetts", + "Ġvict ory", + "h ouse", + "Ġme ans", + "Ġsele cted", + "Ġent ered", + "ch ange", + "on se", + "ĠB oston", + "ĠF er", + "Ġstud ied", + "d s", + "Ġpro f", + "ig r", + "p ut", + "Ġh usband", + "ĠL o", + "ĠBo ok", + "Ġpract ice", + "ĠEast ern", + "S A", + "Ġe mer", + "Ġsur round", + "Ġloc ation", + "al ys", + "st anding", + "Ġex am", + "ut en", + "Ġassoci ated", + "emor ial", + "ĠTh at", + "Ġun it", + "ĠC O", + "ĠJ ournal", + "vent ion", + "Ġm ission", + "Ġstruct ures", + "Ġb ass", + "Ġr ad", + "ĠHe ad", + "Ġmur der", + "Ġtr ade", + "j a", + "Ġ3 5", + "Ġd on", + "w a", + "Ġprofess or", + "ĠL ibrary", + "ĠColumb ia", + "ĠB ang", + "Ġc ertain", + "Ġcent re", + "ĠJ ac", + "Ġstand ard", + "Ġship s", + "ĠG re", + "F C", + "Ġret ired", + "op er", + "Ġse at", + "Ġad op", + "Ġearl ier", + "ĠPr ince", + "Ġar ran", + "Ġ ens", + "3 3", + "i i", + "Ġrun ning", + "Ġmanag ement", + "ĠM ore", + "Ġ er", + "Ġbecom ing", + "Ġd om", + "ĠJe an", + "Ġde partment", + "ĠG ame", + "w ith", + "ĠF ield", + "Ġstud ent", + "ry ing", + "Ġ194 4", + "ĠM P", + "Ġactiv ities", + "t ained", + "Ġso ft", + "Ġt rib", + "ĠThe atre", + "ĠJ ones", + "Ġclub s", + "Ġcom e", + "ĠWilliam s", + "Ġl ength", + "an ks", + "Ġem b", + "Ġmunicip ality", + "il a", + "Ġleg al", + "and ed", + "i y", + "al le", + "Ġcoll abor", + "ĠSt an", + "ail s", + "ig g", + "ĠDe velopment", + "Ġmed ical", + "Ġact ors", + "Ġs uffer", + "Ġcom edy", + "arri age", + "in em", + "N E", + "ĠM iddle", + "gy pt", + "ian ce", + "Ġleg isl", + "Ġinit ially", + "om y", + "ĠW eb", + "Ġqu arter", + "Ġcaus ed", + "9 9", + "ĠM any", + "Ġal ready", + "ad el", + "Ġs ometimes", + "Ġp ie", + "s en", + "b re", + "ĠS oc", + "Ġp en", + "Ġth us", + "Ġtra in", + "ĠCo ast", + "ĠFranc isco", + "ĠE conom", + "ĠV an", + "Ġdestro y", + "Ġmov e", + "Ġoper ated", + "et ic", + "ĠI f", + "Ġfeat ure", + "ĠB ow", + "ĠH ong", + "Ġgeneral ly", + "ĠSt ep", + "ĠK ong", + "Ġar rest", + "Ġfore st", + "Ġincre ased", + "Ġequ ip", + "ĠD et", + "ĠS at", + "Ġold er", + "Ġh ockey", + "Ġl ove", + "ĠK ar", + "ĠW ater", + "ant ry", + "Ġcour se", + "Ġw ide", + "ĠOr gan", + "tra ck", + "Ġwest ern", + "ĠM u", + "ĠW ind", + "sp an", + "Ġnum erous", + "ĠAl bert", + "am m", + "ĠBl ue", + "Ġcon v", + "Ġus es", + "Ġcompet ed", + "n o", + "Ġc ouncil", + "Ġnew s", + "Ġra p", + "ĠMan ag", + "Ġg ra", + "Ġann ual", + "Ġdif fic", + "a res", + "ee ks", + "Ġs af", + "ĠF ed", + "is ation", + "ĠJohn son", + "ĠP res", + "Ġ196 3", + "Ġchang es", + "ĠCons erv", + "and s", + "k en", + "Ġv ir", + "ĠE ll", + "ĠD ie", + "ĠM id", + "ĠCh ild", + "on ia", + "ĠPerson al", + "ĠSy stem", + "el a", + "Ġmajor ity", + "og rap", + "Ġs u", + "ĠDe ath", + "ill a", + "Ġterm s", + "Ġserv ing", + "ĠB C", + "ĠCent re", + "ri ef", + "Ġiss ue", + "ul pt", + "Ġf ederal", + "ĠA k", + "att al", + "stit u", + "Ġab s", + "ĠB iography", + "Ġant i", + "ad d", + "Ġind ic", + "ple ment", + "Ġperson nel", + "Ġbet ter", + "Ġcol on", + "Ġun iversity", + "ab eth", + "ĠBro ad", + "Ġ196 2", + "ul f", + "Ġth reat", + "ĠSer b", + "el le", + "Ġrelig ious", + "ĠA ri", + "Ġse a", + "p re", + "Ġc ust", + "Ġs ister", + "ĠT ime", + "ĠE gypt", + "I n", + "ĠB al", + "Ġke ep", + "it ation", + "ĠOx ford", + "ak h", + "ĠB ir", + "ĠSt ation", + "ĠT em", + "Ġpro b", + "ĠG ood", + "ĠTrans port", + "ĠOff ice", + "A C", + "ĠIn t", + "ĠW rit", + "Ġd rop", + "Ġlin es", + "ĠS pe", + "Ġpass ed", + "ĠH ome", + "ĠT am", + "as y", + "ĠAd am", + "Ġd ed", + "ĠSpec ial", + "Ġl ack", + "ĠIs lam", + "ĠW ild", + "Ġacc om", + "che n", + "ĠAlex ander", + "ĠL ittle", + "ĠTra ck", + "t ies", + "ĠComm on", + "Ġh ot", + "Ġexp atriate", + "Ġthough t", + "Ġor d", + "ĠSwed ish", + "man n", + "art ers", + "Ġoffic ers", + "ĠF our", + "ie uten", + "ĠL y", + "ir it", + "is her", + "ce an", + "Ġrecord ing", + "Ġclaim ed", + "Ġh um", + "Ġfor ced", + "ur ban", + "ĠU l", + "Ġprogram s", + "9 5", + "ĠM ax", + "Ġeconom ic", + "Ġstat us", + "Ġdisc uss", + "Ġ4 5", + "ĠK en", + "w ar", + "ĠFound ation", + "Ġn ine", + "Ġinst r", + "Ġlim ited", + "un n", + "orpor ated", + "; \"", + "Ġm useum", + "a ction", + "Ġsupport ed", + "it age", + "Ġim medi", + "ĠB ern", + "Ġ194 2", + "Ġmin utes", + "ĠSen ate", + "Ġcomple te", + "Ġp il", + "acks on", + "ub e", + "Ġcre ate", + "b l", + "Ġgen er", + "ĠCor ps", + "Ġover all", + "Ġh ours", + "Ġsubsequ ently", + "h ire", + "Ġsh oot", + "Ġpresent ed", + "Ġb ene", + "8 8", + "Ġmeet ing", + "ĠThe ir", + "ph y", + "ĠEn ter", + "ĠLat in", + "Ġrem ains", + "ĠF ar", + "ĠGall ery", + "ĠC ard", + "ĠR ay", + "Ġ194 8", + "ro wn", + "Ġ ice", + "ing er", + "ĠAd d", + "ig inal", + "ĠAnd rew", + "Ġdes cent", + "Ġra ised", + "uc le", + "Ġearn ed", + "Ġin stitut", + "v is", + "Ġl ic", + "Ġocc as", + "ĠB ibl", + "A T", + "Ġbel ong", + "ct ors", + "Ġev idence", + "n am", + "Ġcommun ities", + "ĠA sh", + "Ġch all", + "ĠVictor ia", + "Ġgo ing", + "Ġ194 3", + "ĠO f", + "ĠF I", + "3 6", + "iz ing", + "Ġplat form", + "Ġmost ly", + "un a", + "ap ers", + "Ġ195 6", + "Ġj ob", + "ĠC reek", + "is k", + "Ġ196 1", + "ĠSe a", + "Ġhistor ical", + "u ge", + "um ber", + "Ġw eeks", + "Ġal tern", + "m i", + "Ġf le", + "Ġappear ances", + "ĠEl iz", + "Ġse qu", + "w ide", + "at ers", + "ĠSy d", + "ĠBer lin", + "ail y", + "Ġ6 5", + "ĠM inn", + "ur t", + "ĠDe v", + "Ġresp onse", + "ĠS und", + "ĠCor por", + "ĠT y", + "Ġg ive", + "4 7", + "Ġs om", + "ĠJ ackson", + "A F", + "ze ch", + "ieuten ant", + "Ġper cent", + "ĠC orn", + "ĠKore an", + "Ġpro p", + "Ġb ound", + "Ġsh own", + "Ġar m", + "ĠC op", + "Ġin sp", + "w in", + "im s", + "Ġcon cept", + "Ġ195 8", + "ir ing", + "Ġo pt", + "B S", + "Ġreg ional", + "ĠDan iel", + "Ġpartic ularly", + "Ġinc ome", + "g u", + "ĠAl bum", + "ĠW eek", + "Ġacqu ired", + "Ġparent s", + "Ġfore ign", + "ĠR aj", + "Ġb omb", + "ĠSec retary", + "ĠEle ct", + "ĠIs lands", + "Ġm ention", + "Ġpol icy", + "Ġy outh", + "ĠN ight", + "im um", + "ont o", + "Ġc ell", + "alys is", + "Ġ195 9", + "ste in", + "Ġm iddle", + "enc ies", + "3 8", + "che ster", + "Ġdis e", + "re m", + "Ġrecord s", + "ent y", + "ĠPol ice", + "Ġin n", + "Ġt akes", + "os oph", + "4 8", + "Ġlong er", + "ĠB BC", + "Ġl os", + "Ġg ot", + "Ġhel ped", + "ell ed", + "Ġpartic ular", + "Ġf ailed", + "ri ed", + "Ġappe ars", + "ĠG irl", + "Ġ ver", + "Ġpromot ed", + "ĠDes pite", + "Ġa wards", + "on ic", + "Ġpr incip", + "Ġst ep", + "Ġ194 6", + "ĠTh ree", + "ent al", + "st one", + "Ġfam ous", + "Ġbl ock", + "ĠKore a", + "Ġrem ain", + "out heast", + "Ġthe ory", + "ĠR od", + "olog ist", + "Ġin te", + "ag n", + "Ġv ote", + "Ġfin ancial", + "Ġorganiz ations", + "ak ers", + "Ġle aving", + "ĠAt t", + "Ġtra cks", + "ĠM ov", + "ĠR og", + "Ġeast ern", + "o z", + "led ge", + "Ġg overn", + "Ġbase ball", + "ĠB i", + "Ġp sych", + "Ġ194 1", + "Ġm em", + "ĠW ork", + "Ġtechn ology", + "Ġ3 2", + "Ġen ergy", + "v ement", + "cl ass", + "om er", + "Ġsc hed", + "Ġv on", + "if ying", + "Ġm ach", + "y o", + "Ġcompos ed", + "ron ze", + "Ġh app", + "4 6", + "Ġrefer red", + "b ers", + "ĠW all", + "ĠT ax", + "ĠReg iment", + "Ġspec ific", + "Ġcre w", + "ĠSyd ney", + "ĠF amily", + "3 7", + "Ġqu ick", + "em et", + "ĠH ospital", + "Ġincre ase", + "c ul", + "ĠM unicip", + "ĠK enn", + "Ġc itiz", + "Ġbelie ved", + "Ġrem aining", + "Ġw ord", + "ĠC oll", + "ĠSh ow", + "Ġprov ince", + "Ġc ateg", + "Ġlarg er", + "ĠJ oe", + "Ġhous es", + "ĠCh arl", + "rop ol", + "ĠV iet", + "ĠC zech", + "te en", + "Ġh ospital", + "v est", + "c an", + "Ġc arried", + "ĠO tt", + "ĠL im", + "Ġ eth", + "T h", + "ĠV en", + "ric e", + "il ly", + "ou ri", + "ĠBus iness", + "Ġam ount", + "Ġl atter", + "ĠH y", + "ĠW ay", + "Ġtro ops", + "ĠF ederal", + "th ur", + "istric ts", + "Ġ195 7", + "Ġd iss", + "Ġ193 9", + "C C", + "Ġ( ),", + "ĠAr m", + "Ġstart ing", + "ĠTur k", + "Ġarchite ct", + "ov a", + "ĠP en", + "9 6", + "Ġ194 7", + "sel ves", + "ment ary", + "im ated", + "Ġthem selves", + "Ġl ay", + "Ġb rand", + "ĠQue ens", + "ĠD er", + "Ġt arg", + "l av", + "rup t", + "Ġpro posed", + "Ġch arg", + "Ġn orm", + "9 8", + "Ġfor t", + "ut s", + "Ġro om", + "Ġb ring", + "Ġepis odes", + "Ġn ative", + "ĠR et", + "Ġc er", + "Ġ195 2", + "Ġr ate", + "ĠFor m", + "ĠB oth", + "ĠO nt", + "Ġindividual s", + "ĠW orks", + "ĠB and", + "eng er", + "Ġgradu ated", + "Ġassist ant", + "Ġ3 6", + "m ore", + "e ch", + "ut t", + "ur ies", + "Ġp ra", + "Ġl og", + "ĠB ab", + "Ġwinn er", + "Ġform s", + "Ġcult ural", + "p ose", + "Ġde part", + "ĠPri ze", + "Ġ195 5", + "Ġc ities", + "itt ing", + "Ġsur face", + "Ġc hem", + "he w", + "ĠPr ime", + "j i", + "Ġoffer ed", + "ĠE arth", + "ĠJ on", + "Ġv en", + "a is", + "Ġdel iver", + "ph ia", + "ĠCol or", + "Ġm erg", + "er b", + "Ġhe avy", + "ĠB oy", + "ĠTown ship", + "ĠT ay", + "ous ly", + "ĠT od", + "es ota", + "Ġexecut ive", + "Ġon line", + "ed d", + "9 7", + "Ġs pl", + "Ġpre vent", + "ĠJe ff", + "ĠBo oks", + "Ġm arriage", + "Ġmean ing", + "ĠPre mier", + "angu ages", + "A r", + "Ġad j", + "/ /", + "Ġt able", + "enn es", + "ĠL es", + "ĠRou te", + "Ġnewsp aper", + "ĠN ether", + "ĠM ir", + "ĠMinist ry", + "Ġsepar ate", + "Ġs ociety", + "Ġd yn", + "vers e", + "Ġcons ists", + "ound s", + "ell ig", + "ĠS em", + "ĠD ist", + "Ġfif th", + "c i", + "ion e", + "ĠNot able", + "per or", + "ĠEliz abeth", + "ou ra", + "Ġb ridge", + "ĠJ es", + "ĠB ell", + "Ġpe ak", + "ĠE st", + "ic ted", + "ĠAnt on", + "I S", + "Ġto day", + "ĠMinn esota", + "ro vers", + "Ġsuc ceed", + "Ġ ess", + "ĠB ol", + "adel phia", + "Ġexper ience", + "ĠBase ball", + "ran e", + "Ġf ail", + "Ġserv e", + "f it", + "ĠP ubl", + "Ġcond itions", + "Ġvari ety", + "ĠJust ice", + "Ġcomp l", + "Ġb rief", + "it ude", + "Ġf oot", + "h y", + "ĠTor onto", + "Ġlab el", + "Ġtransfer red", + "k er", + "u ated", + "3 4", + "Ġtem per", + "ess ion", + "Ġcandid ate", + "Ġb order", + "m as", + "Ġs ource", + "ĠH uman", + "ron ic", + "ic ine", + "ĠOnt ario", + "Ġhousehold s", + "res p", + "Ġpart n", + "ran ce", + "Ġmain ly", + "Ġmov ie", + "al og", + "ĠSqu ad", + "ĠSup reme", + "Ġalong side", + "ĠH ind", + "ĠA ut", + "z y", + "ĠM ike", + "Ġdes pite", + ": //", + "ĠCh ap", + "Ġsc ulpt", + "Ġrequ ire", + "ĠL em", + "in ct", + "Ġal ways", + "ĠS om", + "a ult", + "ĠReg ion", + "ĠB ad", + "ĠB orn", + "ĠL ew", + "ĠL ight", + "ĠN ations", + "ĠT ok", + "ĠB a", + "ĠSong s", + "ric s", + "Ġpart ies", + "we ight", + "e v", + "Ġ194 9", + "Ġ195 4", + "u ing", + "Ġoper ation", + "Ġiss ued", + "Ġdou ble", + "ic ks", + "ĠPro gram", + "Ġ( ,", + "ĠI d", + "an th", + "ĠW el", + "attal ion", + "Ġpo or", + "b it", + "n es", + "3 1", + "ĠAn other", + "Ġext ended", + "sec ut", + "Ġb r", + "Ġdem on", + "ort heast", + "Ġme chan", + "ĠAn th", + "Ġpl ans", + "Ġf ace", + "ĠD un", + "Ġprov ides", + "ĠC E", + "ĠA ff", + "Ġsold iers", + "Ġm akes", + "Ġart icle", + "Ġturn ed", + "Ġinflu ence", + "R A", + "Ġ8 0", + "Ġdef eat", + "Ġrespons ible", + "Ġsil ver", + "bour ne", + "Ġd one", + "Ġro w", + "Ġj un", + "Ġs n", + "ĠHar ris", + "Ġ195 3", + "ĠA h", + "Ġarr ived", + "ra ine", + "ĠStep hen", + "er land", + "ill ed", + "Ġfeat uring", + "ĠB rad", + "Ġh ar", + "ĠMex ican", + "Ġdiffic ult", + "ĠPhil adelphia", + "w orth", + "ĠSt adium", + "Ġr ugby", + "che stra", + "os a", + "Ġst ories", + "Ġnear by", + "8 5", + "Ġm aster", + "Ġspe ed", + "ons in", + "Ġun ivers", + "Ġex cept", + "Ġa thlet", + "pt on", + "ĠSt at", + "ĠAir port", + "ĠA v", + "Ġcap ac", + "ĠCh art", + "l ers", + "Ġc orn", + "Ġhon or", + "ĠPak istan", + "om ot", + "isc onsin", + "ĠT ai", + "av en", + "ri f", + "writ er", + "b ass", + "ĠSant a", + "ĠNether lands", + "Ġparticip ated", + "Ġo il", + "ag on", + "Ġres idents", + "at ively", + "ĠC rit", + "Ġ7 0", + "Ġs aying", + "m ission", + "Ġwinn ers", + "av a", + "Ġmanag ed", + "Ġst ay", + "Ġf ellow", + "e ction", + "Ġadminist rative", + "ĠK ir", + "ĠD am", + "l ight", + "ob ile", + "Ġelect ric", + "p on", + "Ġorig in", + "b a", + "Ġcon stitu", + "ĠMed ia", + "Ġdiscover ed", + "Ġm ight", + "um ed", + "und red", + "Ġcover ed", + "rop ical", + "ĠRev olution", + "ĠProfess or", + "ĠBr ig", + "Ġren amed", + "Ġs urn", + "n s", + "or g", + "ĠInd ones", + "Ġback ground", + "Ġmunicip al", + "8 6", + "ĠW isconsin", + "Ġlik ely", + "ĠH o", + "Ġcont ra", + "d is", + "ĠCh ris", + "Ġin h", + "ĠA venue", + "Ġrec ent", + "ĠGu ard", + "Ġmusic ians", + "ĠPe ak", + "ĠR ome", + "Ġ195 1", + "Ġpar ish", + "4 4", + "Ġele ments", + "ĠC ub", + "Ġto ld", + "ig en", + "ran ge", + "qu arters", + "ac hel", + "Ġv an", + "an cy", + "Ġas ked", + "Ġg un", + "Ġ +", + "igh ter", + "Ġconstru cted", + "Ġcon fl", + "ĠPr im", + "Ġproble ms", + "ĠTechn ology", + "ĠK im", + "Ġ ult", + "Ġfinal ly", + "ow a", + "7 6", + "ĠS us", + "Ġhe art", + "ĠS her", + "Ġle ave", + "Ġo ur", + "oc ks", + "est abl", + "Ġn ature", + "emet ery", + "Ġneigh bor", + "ir med", + "ĠP ers", + "ke e", + "Ġpro gress", + "Ġprodu cts", + "ĠMus lim", + "ĠCamb ridge", + "ĠL i", + "Ġth r", + "Ġp ick", + "ctor al", + "we gian", + "Ġhe re", + "or ation", + "ĠInd ust", + "ot o", + "Ġimp act", + "Ġnear ly", + "ĠFore st", + "Ġdr ug", + "Ġp aper", + "ĠDu ke", + "ĠB ishop", + "Ġc ause", + "5 5", + "Ġp age", + "Ġen ough", + "Ġp ath", + "g ing", + "Ġw anted", + "ĠL ady", + "Ġsub s", + "m et", + "Ġde ad", + "am ber", + "Ġmedal ists", + "w ick", + "ĠSl ov", + "per ial", + "ĠLeg isl", + "r im", + "Ġreve aled", + "ap ed", + "Ġarchite cture", + "ĠEx p", + "ĠP u", + "Ġra ces", + "ric t", + "ĠC a", + "Ġne cess", + "Ġch ampion", + "Ġsec urity", + "n ic", + "s s", + "ĠCommun ity", + "ist ance", + "Ġdirect ly", + "ens ity", + "Ġsol o", + "ĠSt r", + "g et", + "Ġv oice", + "ĠWil son", + "3 2", + "Ġp it", + "epend ence", + "ins on", + "ĠPro ject", + "Ġadd ress", + "Ġsus p", + "ĠS ab", + "ĠP ower", + "orn ing", + "ĠAdm inist", + "Ġl ives", + "Ġan cient", + "Ġlead ers", + "Ġ193 6", + "Ġminist er", + "ĠCorpor ation", + "Ġoffic ially", + "Ġincre asing", + "Ġcy cl", + "Ġproject s", + "ĠCol on", + "ĠMed ical", + "ĠMar g", + "L e", + "l iving", + "Ġdis play", + "Ġprim arily", + "Ġr ural", + "ad ing", + "ĠBar b", + "Ġadminist ration", + "en ge", + "9 4", + "van ced", + "ou d", + "Ġcondu cted", + "Ġinit i", + "Ġfriend s", + "Ġlevel s", + "ĠH ay", + "ang a", + "roll ed", + "Ġpos itive", + "en ing", + "Ġs port", + "Ġmount ain", + "ens is", + "e cted", + "ĠD ar", + "ĠNor wegian", + "Ġc ard", + "ĠSwed en", + "S S", + "ĠF air", + "Ġch ap", + "ĠI ra", + "in ity", + "Ġl y", + "i at", + "ĠM oh", + "ĠF ire", + "ĠL t", + "Ġinit ial", + "yd ro", + "ĠV ideo", + "ĠSh ort", + "ul ly", + "Ġacadem ic", + "ĠIndian a", + "ĠGold en", + "uc ky", + "Ġp an", + "ĠF le", + "Ġ9 0", + "e en", + "Ġp p", + "ĠMount ain", + "ĠW inn", + "Ġf irm", + "ĠM un", + "ak i", + "Ġch annel", + "Ġdis p", + "ĠBibl iography", + "Ġs ources", + "Ġrepl ace", + "bo ok", + "ĠWin ter", + "Ġwho le", + "ĠAr thur", + "Ġlist ing", + "Ġwork ers", + "Ġ193 8", + "ĠSc iences", + "Ġlet ter", + "cript ion", + "Ġnum bers", + "ĠR ad", + "ribut ed", + "ĠN iger", + "Ġconsid er", + "ĠAl f", + "ĠPl ace", + "Ġm ic", + "Ġval ue", + "ĠDes ign", + "ĠRe view", + "ĠB udd", + "Ġde ep", + "ĠS u", + "L A", + "Ġlaw s", + "ur ches", + "ĠH u", + "em y", + "ed om", + "ĠK ansas", + "ant a", + "ĠAl so", + "Ġliter ature", + "Ġwhe ther", + "Ġremov ed", + "th ing", + "ĠL ive", + "Ġ19 18", + "g al", + "he im", + "Ġs al", + "ĠMar ia", + "Ġwith d", + "A l", + "Ġded icated", + "el d", + "i est", + "ĠGe ography", + "ĠCap tain", + "ĠU s", + "port un", + "ert o", + "ĠDe p", + "Ġsy n", + "Ġg rew", + "ony m", + "Ġd omin", + "Ġw ords", + "ĠBar on", + "F F", + "Ġplann ed", + "ĠPopul ated", + "ĠPolit ical", + "r ical", + "Ġst ars", + "ĠJun ior", + "ĠRes ults", + "7 8", + "Ġnot able", + "Ġeffect s", + "ĠUS A", + "Ġsh are", + "je cted", + "ĠU t", + "Ġk ind", + "it ter", + "e z", + "ic ed", + "Ġr ule", + "ĠMiss ouri", + "p resent", + "Ġd ark", + "E C", + "Ġcomp uter", + "Ġp iano", + "Ġorder ed", + "ĠTay lor", + "Ġreg ist", + "Ġsettle ment", + "ath an", + "ĠM aster", + "resp ond", + "ĠH an", + "Ġprom inent", + "ik a", + "M A", + "Ġsp read", + "ĠR ugby", + "Ġcontin ue", + "ĠB ridge", + "is hes", + "ĠP it", + "ĠColor ado", + "reg on", + "y al", + "Ġrec over", + "ab les", + "rest ling", + "Ġref le", + "ĠFranc is", + "Ġun s", + "res h", + "se x", + "ell er", + "ĠE P", + "ag ing", + "Ġv ac", + "O S", + "Ġ3 4", + "Ġvot es", + "for ce", + "Ġsc ene", + "Ġfollow s", + "Ġwe ap", + "Ġdire ction", + "tern et", + "il ton", + "6 6", + "g reg", + "ĠSte ve", + "ĠR em", + "ist ed", + "Ġmix ed", + "Ġto uch", + "Ġb ranch", + "Ġhost ed", + "Ġext ra", + "ĠCon ne", + "Ġd igital", + "Ġg as", + "Ġre form", + "Ġl anguages", + "ĠW alk", + "Ġg reen", + "Ġart icles", + "Ġrul es", + "Ġpot ential", + "Ġ193 7", + "Ġim plement", + "Ġre ason", + "hen s", + "Ġint ended", + "Ġp urs", + "Ġill ust", + "ĠStud ies", + "Ġcons erv", + "en es", + "g n", + "hem at", + "Ġn ation", + "Ġan g", + "z ona", + "enn a", + "ĠRepresent atives", + "Ġhistor ic", + "Ġ era", + "3 9", + "ĠCast le", + "ĠC irc", + "y ard", + "ĠL ind", + "ĠE arl", + "Ġtri al", + "ul ated", + "Ġdiv ided", + "ĠG ree", + "Ġcapac ity", + "Ġide a", + "ĠM ember", + "Ġ ut", + "ĠN az", + "g rad", + "Ġcol or", + "Ġfor ward", + "ropol itan", + "Ġt al", + "Ġtit led", + "ograph ic", + "n ce", + "Ġrespect ively", + "Ġfl oor", + "Ġdestroy ed", + "Ġtit les", + "Ġtreat ment", + "Ġs oc", + "ĠO regon", + "ol es", + "ĠJ os", + "Ġass igned", + "ĠK al", + "ĠMar sh", + "Ġengine er", + "ĠK el", + "Ġ6 4", + "20 10", + "it led", + "ĠF e", + "Ġtown s", + "7 7", + "g g", + "ill ery", + "ur d", + "ĠTur key", + "ĠWar s", + "ĠMal ays", + "ĠP ier", + "Ġin side", + "Ġp arliament", + "or al", + "ap ore", + "ĠFred er", + "ĠH al", + "ĠR om", + "ly n", + "k h", + "ĠZ h", + "Ġag ric", + "ix ed", + "% )", + "Ġbas is", + "Ġd ance", + "Ġactiv ity", + "6 5", + "Ġsem i", + "Ġnov els", + "Ġre pe", + "and on", + "Ġcompos er", + "Ġbeh av", + "200 7", + "Ġun known", + "Ġreview s", + "Ġsit es", + "ĠE th", + "Ġ. ..", + "ĠBrazil ian", + "ĠComm and", + "Ġc ounter", + "re al", + "c ow", + "iv ity", + "Ġgrow th", + "b ec", + "Ġcle ar", + "Ġst reet", + "ĠDav is", + "Ġcont rovers", + "Ġmet al", + "ĠCon f", + "Ġfem ales", + "ĠP ass", + "b u", + "M S", + "Ġeffort s", + "Ġpurch ased", + "Ġp al", + "Ġpl ants", + "Ġbecom es", + "ennes see", + "b ell", + "Ġmov ing", + "Ġp et", + "Ġup per", + "ĠBro ok", + "ĠCon c", + "ĠAtl antic", + "ear s", + "Ġcont est", + "Ġprodu ce", + "iz es", + "ĠCount ry", + "Ġfe el", + "ĠSt and", + "ast y", + "ĠT al", + "ĠBe ach", + "ĠC re", + "ĠB all", + "Ġfac ilities", + "Ġl ies", + "ĠAri zona", + "a ud", + "ĠG reg", + "un ct", + "em an", + "Ġquest ion", + "ĠPhilipp ines", + "Ġcer em", + "ĠT a", + "ian t", + "it o", + "200 9", + "ĠN ic", + "ad ed", + "Ġtyp es", + "Ġequip ment", + "ĠFore ign", + "Ġcapt ured", + "I A", + "ĠF ree", + "Ġprodu ct", + "f ort", + "Ġsmall er", + "Ġatt end", + "est ic", + "Ġquick ly", + "Ġst ore", + "Ġy et", + "ĠK r", + "b ro", + "w ater", + "Ġhigh ly", + "200 0", + "e k", + "Ġle aves", + "ĠSe ver", + "Ġcont act", + "Ġcitiz ens", + "Ġ5 00", + "ĠS on", + "ar p", + "ound ed", + "Ġform at", + "b les", + "Ġdocument ary", + "Ġ4 4", + "Ġest ate", + "ast ic", + "st yle", + "ĠT ennessee", + "Ġimmedi ately", + "Ġ( ;", + "ĠLe on", + "ren ce", + "Ġorgan ized", + "if orm", + "Ġaccept ed", + "Ġs umm", + "ĠMar c", + "Ġg re", + "b ed", + "ed ia", + "k in", + "ipl om", + "w atch", + "Ġop portun", + "ĠNor way", + "j an", + "Ġcon ver", + "ĠM as", + "a ug", + "20 11", + "ef e", + "ĠS ri", + "Ġm ax", + "Ġown er", + "ul ed", + "Ġcon ference", + "Ġfl ight", + "Ġr at", + "ĠC as", + "ian g", + "s ky", + "ur er", + "Ġ193 5", + "ĠN etwork", + "Ġ19 19", + "Ġphys ical", + "Ġfav or", + "Ġfac ulty", + "Ġro les", + "200 6", + "g ers", + "o is", + "200 8", + "Ġst ra", + "Ġsy mb", + "Ġaut om", + "Ġb ronze", + "er c", + "Ġdecl ared", + "ĠMary land", + "amb ig", + "Ġconf irmed", + "Ġsoft ware", + "se y", + "am i", + "ĠC ra", + "ĠS av", + "Ġmot or", + "Ġte acher", + "Ġchar ge", + "Ġre ach", + "ol n", + "Ġcommon ly", + "ĠUk raine", + "Ġpos itions", + "ann a", + "Ġaff ili", + "Ġg overnor", + "Ġ19 14", + "Ġhous ing", + "Ġoper ating", + "ĠHigh way", + "Ġv s", + "ĠO d", + "Ġ3 3", + "eat her", + "ĠB at", + "ĠBe fore", + "Ġprogram ming", + "Ġper man", + "Ġbe at", + "im al", + "Ġh tt", + "Ġstre ng", + "ĠIra q", + "U n", + "ĠS ources", + "Ġele v", + "am in", + "ce st", + "Ġcomp ared", + "r ate", + "ĠFor mer", + "Ġcom es", + "h at", + "ĠBack ground", + "ĠSing apore", + "Ġterrit ory", + "ĠFed eration", + "are t", + "Ġab ility", + "ĠMod ern", + "Ġagre ement", + "Ġd istricts", + "b s", + "Ġcom ment", + "Ġtarg et", + "ĠK l", + "CA A", + "Ġst one", + "Ġ19 10", + "ĠM emorial", + "Ġfound er", + "ĠR oss", + "ĠL iter", + "Ġw a", + "Ġp op", + "ĠDe c", + "Ġsw im", + "ellig ence", + "Ġ19 17", + "Ġg iving", + "ag a", + "ĠD or", + "Ġagre ed", + "ĠF ox", + "Ġatt ention", + "ĠCh ile", + "Ġmod els", + "ar c", + "Ġappro ach", + "Ġengine ering", + "5 8", + "Ġn ucle", + "9 3", + "inc ial", + "vent h", + "ĠH or", + "Ġcamp us", + "ĠO cean", + "ĠS ound", + "S P", + "Ġpe ace", + "ĠE ach", + "m ad", + "west ern", + "igh th", + "du ce", + "Ġlead ership", + "Ġinstitut ions", + "Ġw alk", + "Ġatt ra", + "Ġc ars", + "od ies", + "S C", + "ap h", + "Ġl if", + "Ġap art", + "ript ion", + "Ġ192 8", + "Ġy ards", + "Ġest imated", + "Ġel im", + "z o", + "ĠB ru", + "igr ants", + "ol i", + "Ġse ats", + "Ġth ink", + "Ġoccur red", + "Ġbl ood", + "ĠR en", + "un te", + "Ġw ing", + "ĠW at", + "ambig uation", + "op her", + "ĠD iv", + "ĠEnter tain", + "ĠH art", + "ĠS port", + "Ġg ained", + "ad er", + "200 5", + "Ġneed ed", + "ot i", + "Ġch airman", + "Ġmed ian", + "ĠPhil ip", + "Ġ x", + "Ġact ing", + "ĠF a", + "ĠLew is", + "Ġsuffer ed", + "Ġcon clud", + "Ġdise ase", + "Ġfig ure", + "Ġadop ted", + "Ġrec on", + "Ġb ad", + "ĠB os", + "ĠMel bourne", + "Ġfl ag", + "Ġ192 9", + "Ġs ens", + "Ġcr ime", + "in us", + "Ġc oin", + "ed er", + "we alth", + "Ġdist ribution", + "Ġserv es", + "ĠT s", + "5 00", + "ĠMos cow", + "ĠT en", + "Ġst ream", + "Ġp oll", + "Ġent er", + "it ness", + "Ġf ell", + "ul s", + "Ġan alysis", + "H L", + "ĠPro duction", + "rain ian", + "Ġcomb ined", + "im inal", + "l ah", + "Ġcomm ittee", + "Ġjournal ist", + "' ,", + "s pe", + "Ġ3 8", + "ĠT est", + "ans ion", + "Ġcont ent", + "Ġcor respond", + "Ġj oint", + "T A", + "ĠAb b", + "ag h", + "or ter", + "ĠSe ason", + "Ġqu ality", + "Ġcan cer", + "Ġv ess", + "Ġpre c", + "20 12", + "200 4", + "ing ham", + "Ġ193 3", + "Ġpolit ics", + "ĠSt ock", + "y es", + "Ġres ident", + "Ġ193 4", + "ĠCro at", + "or ph", + "anc ing", + "Ġra re", + "ĠSpr ing", + "S h", + "ost er", + "ĠAb d", + "Ġcont emporary", + "ĠEngine ering", + "Ġproble m", + "ugu ese", + "ol id", + "ast ers", + "Ġ urban", + "Ġperforman ces", + "Ġtyp ically", + "A n", + "Ġh abit", + "y ond", + "al o", + "ĠR ound", + "p et", + "Ġret ire", + "pl ace", + "Ġmention ed", + "eth ing", + "Ġofficial s", + "l aw", + "Ġnomin ated", + "ĠHe art", + "Ġb ig", + "Ġindust rial", + "9 1", + "Ġcom ing", + "Ġun c", + "ib ly", + "ĠH ard", + "ash ion", + "ĠB on", + "Ġh undred", + "Ġf iction", + "id i", + "w orks", + "Ġpres ence", + "Ġl abor", + "ov i", + "ĠTurk ish", + "Ġbl ue", + "ĠQueens land", + "ĠKh an", + "ĠV o", + "p ass", + "Ġeduc ated", + "ant e", + "9 2", + "it i", + "w ing", + "Ġex c", + "g ar", + "Ġh or", + "20 13", + "ir al", + "ĠJew s", + "ĠH ou", + "ol ved", + "v ard", + "Ġf ast", + "l i", + "id ers", + "is a", + "ĠAdd ition", + "V ID", + "Ġpr in", + "il ing", + "ic ian", + "ĠB alt", + "Ġcol umn", + "hed ral", + "Ġco al", + "g i", + "Ġlarg ely", + "Ġresult ed", + "dis ambiguation", + "Ġrecogn ized", + "osoph y", + "ot ed", + "Ġprob ably", + "ĠI owa", + "ĠAust ria", + "m outh", + "Ġe c", + "Ġ ir", + "ak s", + "ĠG il", + "ĠAr k", + "ĠCommon wealth", + "for mer", + "Ġab andon", + "Ġ192 4", + "Ġb oy", + "Ġdam age", + "d a", + "Ġres erv", + "ĠR ang", + "p son", + "Ġm iles", + "Ġcon cent", + "ĠKent ucky", + "Ġh op", + "ĠBro ther", + "os en", + "ĠO t", + "Ġbur ied", + "ĠE c", + "Ġc ab", + "u ate", + "Ġpaint ing", + "Ġschol ar", + "ĠD own", + "ĠB ah", + "v o", + "ĠC ab", + "Ġc am", + "ĠSports people", + "Ġwid ely", + "act er", + "Ġsc oring", + "G B", + "Ġexp anded", + "5 6", + "Ġc ode", + "Ġ19 00", + "Ġvill ages", + "z h", + "Ġar ts", + "Ġex pected", + "Ġrank ed", + "ol is", + "Ġ193 2", + "Ġ3 7", + "Ġsex ual", + "ĠEntertain ment", + "Ġclass ical", + "Ġsports people", + "Ġb ra", + "ĠSquad ron", + "ĠK itt", + "Ġnew ly", + "Ġrec omm", + "Ġident ified", + "ĠHar ry", + "Ġm m", + "Ġcrit ical", + "Ġf elt", + "Ġgr anted", + "Ġm ill", + "Ġdef end", + "ĠAre a", + "oc ese", + "iqu es", + "ar o", + "ĠC ape", + "Ġp ict", + "u i", + "form ed", + "ain e", + "cl es", + "Ġse arch", + "ĠWal ter", + "Ġsecond ary", + "ĠBel g", + "Ġ rom", + "Ġf ish", + "Ġad apt", + "Ġsqu are", + "ĠH ur", + "ĠManag ement", + "ĠT ony", + "ĠD anish", + "ĠG i", + "Ġcou ple", + "Ġdr ums", + "Ġstar ring", + "Ġal le", + "m itted", + "ro g", + "us ion", + "ĠL ike", + "Ġlos ing", + "Ġb illion", + "Ġwe ight", + "Ġconc ert", + "20 14", + "k es", + "se ason", + "ĠSw iss", + "l ast", + "Ġs ales", + "Ġt aught", + "t ing", + "il ation", + "Ġcre ation", + "Ġcond ition", + "Ġre duced", + "Ġm ess", + "ett ing", + "ĠViet nam", + "ĠN ick", + "Ġco aches", + "Ġdist ance", + "Ġthe atre", + "vi ation", + "Ġcomm ander", + "Ġpress ure", + "8 7", + "Ġresult ing", + "Ġw ild", + "Ġ192 7", + "Ġb al", + "Ġpre mier", + "or ship", + "Ġthere fore", + "Ġoff ers", + "ĠCO VID", + "0 5", + "ĠR on", + "itz erland", + "i ot", + "ĠInf antry", + "ĠProfess ional", + "ĠPort uguese", + "S T", + "Ġcap tain", + "200 3", + "ĠG ord", + "ĠRec ord", + "cl aim", + "ĠReg ional", + "Ġinstr ument", + "ĠS ix", + "Ġlo an", + "oc ated", + "ĠTh rough", + "ĠT an", + "Ġ19 12", + "p ur", + "Ġsp ons", + "4 1", + "ĠAm ong", + "Ġsec ret", + "20 15", + "ĠSim on", + "ĠUk rainian", + "ĠA st", + "ĠB eng", + "ĠSe le", + "Ġt im", + "ĠT reat", + "m es", + "Ġtw ice", + "Ġauthor ities", + "ĠAl b", + "ĠH and", + "Ġrec ently", + "al ing", + "Ġarrest ed", + "ĠF inn", + "Ġsurn ame", + "V D", + "Ġ193 1", + "4 2", + "ad s", + "Ġstr ugg", + "ict ional", + "orn ey", + "h o", + "ĠN ik", + "Ġyoung er", + "Ġform ation", + "p a", + "I C", + "ĠN CAA", + "Ġpre p", + "Ġinj ury", + "ord in", + "Ġbeg ins", + "ĠL abor", + "um es", + "ĠAr men", + "i pe", + "Ġformer ly", + "Ġ192 2", + "ĠBul g", + "Ġra cing", + "ym n", + "0 7", + "Ġatt acks", + "Ġg raph", + "ĠH ans", + "ĠD rag", + "Ġvers ions", + "Ġw all", + "ĠGree ce", + "m iss", + "ĠI l", + "lah oma", + "ĠSt aff", + "0 6", + "Ġfin ish", + "ĠIsrael i", + "ĠAff airs", + "ĠPl an", + "Ġth ous", + "Ġsurround ing", + "Ġprov iding", + "ĠG er", + "ĠAn ne", + "ĠArch ite", + "Ġcrit ics", + "ĠPh ys", + "ay er", + "ĠSpace watch", + "Ġrest aur", + "Ġdis establ", + "b ra", + "os is", + "Ġc e", + "Ġser ious", + "0 8", + "m ont", + "re ll", + "ĠA ud", + "ĠRe al", + "Ġ192 1", + "ĠTok yo", + "ĠAl i", + "Ġvoc al", + "200 1", + "Ġt ree", + "Ġpat tern", + "as ion", + "Ġknow ledge", + "ĠBill board", + "p ool", + "ĠMill er", + "Ġ192 5", + "b i", + "ĠBe c", + "Ġshow ed", + "ĠK at", + "T C", + "ĠTr ust", + "Ġob tained", + "Ġstat istics", + "Ġc arri", + "ĠJac ob", + "Ġspl it", + "ĠN ap", + "Ġreg ions", + "Ġinte g", + "Ġ192 6", + "ann ing", + "ĠBet ween", + "og ue", + "ĠG ab", + "Ġp aid", + "ĠOr iginal", + "Ġrece ive", + "ain ts", + "ĠSw itzerland", + "ĠD omin", + "Ġl ibrary", + "inc oln", + "Ġtra ins", + "iv als", + "ĠMan chester", + "ograp her", + "g ro", + "ĠHol y", + "ĠP ict", + "ĠTh ird", + "ĠAl ab", + "Ġb ow", + "Ġf estival", + "ĠJan e", + "ru it", + "ĠEm peror", + "ĠAnd erson", + "Ġpro pos", + "p ri", + "or i", + "ĠSen ior", + "Ġnot es", + "ĠChrist mas", + "Ġc ells", + "ug al", + "Ġdesign ated", + "ĠOk lahoma", + "ĠBuild ings", + "Ġsp ring", + "og s", + "ĠServ ices", + "l ines", + "Ġn et", + "Ġsup pl", + "in y", + "Ġp ack", + "ĠR a", + "ill er", + "Ġl iber", + "ĠF ac", + "ĠCh ampions", + "20 16", + "Ġmay or", + "Ġim age", + "Ġke pt", + "Ġsugg ested", + "el ine", + "m un", + "Ġmark ed", + "ĠB rian", + "Ġclaim s", + "ific ations", + "Ġtw enty", + "Ġlaun ch", + "Ġtr ue", + "ĠT urn", + "ous es", + "Ġmanag ers", + "Ġreg ul", + "ĠPro te", + "ic ians", + "ĠK am", + "Ġh y", + "ĠB arn", + "Ġd ial", + "f ef", + "ĠA le", + "Ġconfl ict", + "Ġveh icles", + "Ġpain ter", + "ĠChild ren", + "ĠL ar", + "Ġent ry", + "Ġinsp ired", + "ĠLem mon", + "Ġfig ures", + "200 2", + "Ġ192 3", + "Ġh all", + "ĠP oint", + "Ġsp irit", + "Ġre ports", + "Ġ19 16", + "Ġexper iment", + "ate ur", + "4 9", + "Ġsup ply", + "ĠD ue", + "Ġm ales", + "Ġsix th", + "Ġhead quarters", + "ĠN aval", + "Ġb ott", + "ĠFr ont", + "and y", + "ĠRe ception", + "Ġro yal", + "Ġcontin ues", + "Ġconne cted", + "1 00", + "ĠMc G", + "ro om", + "Ġw ins", + "ĠF ord", + "Ġsh op", + "Ġtra ffic", + "Ġd ensity", + "Ġg ives", + "ĠF il", + "ubl in", + "8 9", + "oot h", + "ĠK y", + "4 3", + "Ġport ray", + "N ew", + "ĠR un", + "ĠPr in", + "Ġ19 15", + "fef efe", + "qu es", + "Ġsl ight", + "ch a", + "ri p", + "Ġjud ge", + "Ġmaterial s", + "Ġact ually", + "Ġn ortheast", + "Ġthem e", + "ly wood", + "al so", + "ok ing", + "E R", + "Ġpart ner", + "Ġa im", + "Ġ7 5", + "; \"|", + "20 17", + "oth s", + "Ġop position", + "Ġcomp on", + "ĠP op", + "rat or", + "ĠAlab ama", + "ĠLab our", + "ĠHow ard", + "Ġpromot ion", + "Ġsucceed ed", + "Ġpur pose", + "Ġcl imate", + "ĠBas ketball", + "ĠAlbum s", + "ĠL ow", + "ol ished", + "u ous", + "ĠR ose", + "r in", + "ene z", + "ĠF ame", + "ĠL incoln", + "Ġte aching", + "ĠI V", + "ro it", + "Ġgre ater", + "ĠHam ilton", + "ĠE ric", + "ĠSing les", + "v ens", + "ĠN ative", + "Ġtri ed", + "ĠL ieutenant", + "Ġcompet itions", + "Ġet c", + "6 7", + "Ġfac ility", + "A A", + "ĠPl ot", + "ĠB attalion", + "ĠT el", + "l an", + "Ġallow ing", + "ional ly", + "l ife", + "ĠMiss iss", + "Ġb att", + "b ot", + "ĠB urn", + "ĠSur vey", + "Ġt alk", + "Ġpres erv", + "Ġs ays", + "ĠAust rian", + "ĠDou gl", + "off s", + "ĠK az", + "ĠY outh", + "0 1", + "Ġmusic ian", + "ĠN ich", + "ecut ive", + "ĠS n", + "ĠMar ine", + "Ġacc ident", + "ag u", + "ik h", + "hes s", + "Ġ4 2", + "Ġc ert", + "ĠFor ces", + "Ġsc ript", + "Ġvis it", + "wh ich", + "ipp i", + "ed ing", + "Ġhistor ian", + "e ast", + "Ġto wer", + "Ġsing ers", + "Ġpublic ation", + "Ġscient ific", + "ur ance", + "Ġt ells", + "Ġ @", + "ĠCh annel", + "ĠMount ains", + "Ġcan not", + "u v", + "ĠDes cription", + "ord an", + "Ġreturn ing", + "Ġgrow ing", + "Ġexist ing", + "ĠExp atriate", + "Ġf ully", + "ĠLoc al", + "ctic ut", + "ĠHar vard", + "achel or", + "ĠBuild ing", + "ĠArgent ina", + "Ġp le", + "Ġappl ied", + "Ġsl ow", + "Ġp air", + "ure au", + "Ġle tt", + "Ġsit uation", + "Ġal one", + "ĠCur rent", + "ad i", + "Ġm om", + "ut her", + "20 18", + "ĠHon or", + "Ġall ows", + "rel ated", + "st ic", + "Ġmag n", + "id ge", + "Ġa ired", + "ĠTem ple", + "olog ists", + "Ġmet res", + "Ġd raft", + "Ġop pos", + "Ġsp ot", + "ĠC ost", + "ĠN ow", + "d am", + "ĠPri x", + "st an", + "Ġfight ing", + "ĠW olf", + "in th", + "ĠD om", + "ĠM it", + "f inals", + "ist ry", + "Ġm ut", + "ĠR oll", + "ĠG ram", + "5 7", + "Ġy ellow", + "Ġc art", + "is er", + "ĠPro t", + "ĠMor ris", + "Ġd iplom", + "' .", + "w ich", + "Ġmeas ure", + "ard o", + "Ġsit uated", + "D on", + "Ġs uit", + "Ġun ique", + "Ġm ap", + "ial s", + "Ġ19 13", + "ĠA uthor", + "Ġsaf ety", + "ĠConne cticut", + "ĠSt one", + "Ġs ons", + "Ġbrother s", + "ĠAnth ony", + "20 19", + "Ġpr int", + "ast e", + "Ġad vanced", + "ĠL as", + "ĠJ am", + "Ġw ant", + "Ġe arth", + "Ġmain tain", + "Ġhe av", + "ol as", + "ĠHistor ical", + "ĠN ag", + "or gan", + "Ġgu est", + "clud ing", + "Ġfe et", + "ingu ished", + "ĠL ank", + "ĠSec urity", + "ĠCol omb", + "ĠB rand", + "igen ous", + "ĠJ ay", + "Ġold est", + "Ġag ent", + "ĠPat rick", + "eral d", + "ch i", + "ĠTai wan", + "Ġhand s", + "Ġclass es", + "on om", + "ĠSt ory", + "ĠQue bec", + "at al", + "out s", + "ĠSil ver", + "ell o", + "est er", + "ĠK arl", + "Ġs ides", + "h ol", + "Ġb ill", + "Ġly rics", + "ĠN FL", + "s ort", + "Ġchart s", + "c ont", + "ĠD ur", + "Ġfl ood", + "ĠSund ay", + "ĠW ell", + "ant on", + "ĠC ulture", + "Ġgo es", + "Ġnar row", + "Ġth ings", + "Ġv ice", + "ĠEr n", + "Ġl ot", + "ĠN a", + "ĠMag azine", + "ĠJu an", + "Ġh orse", + "ĠR ural", + "Ġch osen", + "j oy", + "Ġp un", + "ĠT ar", + "ĠL in", + "inem a", + "Ġg all", + "ĠV is", + "Ġar ms", + "Ġme ant", + "at us", + "6 8", + "ĠP ot", + "Ġset s", + "Ġloc omot", + "Ġtem ple", + "os lav", + "Ġex change", + "im ens", + "ĠC ensus", + "ĠN on", + "ress ion", + "ĠBec ause", + "ĠHou ston", + "Ġr isk", + "ĠW y", + "d ied", + "Ġcor por", + "ĠH un", + "Ġe as", + "ĠH amp", + "ĠLouis iana", + "Ġs ail", + "Ġth ir", + "ĠBrig ade", + "Ġport ion", + "Ġcommission ed", + "Ġpro ceed", + "z z", + "y ers", + "Ġal t", + "ĠDie go", + "ĠN Y", + "Ġsugg est", + "ĠLiber al", + "z en", + "Ġchall eng", + "h r", + "val ue", + "Ġb ought", + "Ġprincip al", + "Ġauthor ity", + "Ġ19 11", + "ra it", + "ig ration", + "Ġn ob", + "Ġro ll", + "l ades", + "Ġf olk", + "ĠF ellow", + "ĠT un", + "Ġcomplet ely", + "Ġneighbor hood", + "Ġachie ved", + "Ġs outheast", + "Ġanim als", + "ĠAll en", + "Ġre ference", + "Ġhold s", + "Ġcust om", + "ĠBelg ium", + "ĠLt d", + "el ve", + "ĠD ream", + "ĠSever al", + "ĠCh all", + "ĠH ockey", + "ĠAb out", + "Ġgl obal", + "pect s", + "ĠC emetery", + "ĠR ace", + "199 9", + "Ġref used", + "d es", + "Ġprote ction", + "bo x", + "ĠV in", + "S e", + "ĠK u", + "ĠPu erto", + "am ing", + "ĠTod ay", + "Ġexhib ition", + "ĠB ry", + "ag er", + "und er", + "o es", + "uc cess", + "Ġappro ved", + "ĠAmerican s", + "Ġattempt ed", + "5 1", + "Ġrap id", + "j o", + "Ġint ers", + "Ġ4 8", + "ĠS in", + "au x", + "ĠV ice", + "Ġcont ain", + "Ġveh icle", + "Ġsett led", + "Ġt ennis", + "Ġsoc cer", + "Ġsy m", + "Ġf ans", + "Ġa ctions", + "ĠP ap", + "Ġcre ating", + "ĠG ib", + "ĠGord on", + "ĠHung arian", + "Ġad vert", + "Ġ4 1", + "ĠDet roit", + "Ġl ake", + "Ġvis ited", + "ĠDougl as", + "6 4", + "Ġdef ined", + "ĠLegisl ative", + "if ically", + "Ġend ing", + "ĠPort ugal", + "ind er", + "Ġnecess ary", + "ĠAnton io", + "Ġcomb at", + "ress ed", + "Ġf air", + "iam i", + "pr ise", + "Ġattack ed", + "I T", + "ĠTer rit", + "c ar", + "rid ges", + "ĠDen mark", + "iv a", + "ag en", + "ĠHer itage", + "ĠP ed", + "ivers ary", + "Ġpil ot", + "S R", + "are n", + "Ġsim ply", + "ac hers", + "Ġrece iving", + "ĠPlay er", + "ĠMississ ippi", + "Ġaud ience", + "b ar", + "Ġ190 8", + "Ġconsist ed", + "Ġcont aining", + "ĠS el", + "t i", + "Ġag ed", + "Ġoper a", + "Ġadv ance", + "ur i", + "Ġres ources", + "Ġst orm", + "Ġfound ing", + "Ġun able", + "um a", + "ĠN ar", + "Ġdirect ors", + "ou red", + "ĠBang lades", + "ĠA D", + "ĠT rib", + "ĠIslam ic", + "Ġmethod s", + "ĠM and", + "Ġrepresent ative", + "ĠO ak", + "secut ive", + "ĠEn vironment", + "Ġexp ansion", + "Ġrepresent ing", + "Ġfl ow", + "ĠA C", + "Ġvol ume", + "Ġcons um", + "g or", + "Ġsubsequ ent", + "Ġd aily", + "Ġinh abit", + "Ġactress es", + "ĠOffic er", + "Ġloc ations", + "Ġproper ties", + "ĠFreder ick", + "ĠSam uel", + "Ġg od", + "Ġf ought", + "0 9", + "Ġattempt s", + "ag an", + "we et", + "ĠN atural", + "ĠB erg", + "Ġro of", + "Ġbro ke", + "Ġra in", + "ĠInd ependent", + "ĠAl an", + "Ġmach ine", + "gh an", + "Ġte le", + "Ġsim ple", + "ist a", + "ĠD al", + "en h", + "ĠF ern", + "Ġtre es", + "ĠS ky", + "ag ues", + "ĠEx press", + "Ġsched uled", + "ris is", + "le ts", + "Ġv ent", + "ĠR ivers", + "Ġfrequ ently", + "Ġresp ond", + "ĠIn formation", + "ĠR ab", + "ĠMus ical", + "Ġsh ared", + "p o", + "Ġb urn", + "ab ad", + "ĠB an", + "Ġretire ment", + "im ents", + "ĠPit ts", + "Ġcandid ates", + "ĠM aur", + "ile y", + "Ġw ear", + "Ġex clus", + "ĠWh it", + "Ġj azz", + "Ġop pon", + "Ġst ock", + "Ġ ;", + "in er", + "ĠR oc", + "P A", + "ĠY our", + "P S", + "5 2", + "ĠCl ark", + "ĠAnd re", + "Ġmem ory", + "5 3", + "os ed", + "Ġpie ce", + "Ġs pect", + "d on", + "Ġconver ted", + "Ġrel atively", + "an ia", + "Ġdr iver", + "Ġsom ething", + "ĠWel sh", + "a ctions", + "Ġstra ight", + "Ġch ampions", + "Ġliter ary", + "Ġpresident ial", + "Ġqual ified", + "Ġeffect ive", + "ĠPh ill", + "ĠJ ordan", + "Ġcop ies", + "Ġdef in", + "Ġg uns", + "5 4", + "ig ation", + "Ġunder st", + "us es", + "Ġm is", + "Ġwin ter", + "stitut ional", + "ĠB ird", + "Ġl it", + "ĠP un", + "ĠU N", + "l ong", + "ĠL I", + "ĠD h", + "ĠK a", + "ĠEx ecutive", + "Ġch urches", + "Ġ3 00", + "ie val", + "Ġm orning", + "Ġdr ive", + "Ġult imately", + "enn y", + "ĠAl ban", + "Ġinc ident", + "ip ients", + "n i", + "op ter", + "ĠB ou", + "ĠDo ctor", + "o en", + "Ġin aug", + "Ġgirl s", + "r um", + "ĠIndones ia", + "Ġfoc used", + "ĠIn ternet", + "Ġapp oint", + "Ġdrop ped", + "ĠA ge", + "Ġpol ic", + "Ġtr ust", + "Ġdom estic", + "Ġres c", + "Ġoccup ied", + "ĠHot el", + "Ġdef ense", + "Ġc overs", + "Ġend s", + "8 4", + "ĠG ard", + "Ġf aced", + "ĠM iami", + "ud i", + "ĠVill age", + "Ġperform ing", + "in burgh", + "ent ed", + "g ment", + "Ġshort ly", + "ĠComp et", + "Ġneg oti", + "ĠL am", + "ĠE ag", + "Ġcateg ory", + "Ġr ang", + "ĠC ricket", + "Ġent itled", + "Ġprof ile", + "ĠBo x", + "od ox", + "ĠSchool s", + "f all", + "Ġalle ged", + "ph as", + "ĠSqu are", + "ĠAdminist ration", + "o a", + "az a", + "l ad", + "Ġrecogn ition", + "ĠC ultural", + "ord ers", + "Ġ4 6", + "Ġcon secutive", + "w ise", + "Ġop posed", + "A M", + "0 4", + "U S", + "Ġre ar", + "ĠD ave", + "Ġa st", + "ĠU C", + "Ġch o", + "Ġse em", + "an es", + "ig e", + "Ġh arm", + "Ġprot est", + "ĠPri or", + "ĠPal est", + "stru cture", + "al ty", + "ĠF und", + "Ġ iron", + "ĠK ey", + "Ġsett ing", + "Ġcons ult", + "Ġtouch down", + "Ġ4 3", + "ĠC all", + "Ġdec or", + "ĠVill ages", + "Ġlearn ing", + "ĠIm perial", + "ĠK er", + "ĠD ak", + "ffic ient", + "og en", + "Ġin ternal", + "ik i", + "Ġident ity", + "ĠD ublin", + "199 8", + "ĠAcadem ic", + "ud get", + "ĠB ureau", + "Ġhe ight", + "Ġs um", + "Ġkill ing", + "Ġinvestig ation", + "or ough", + "ĠP ope", + "ĠF arm", + "p ret", + "Ġmic ro", + "Ġact s", + "Ġperman ent", + "ful ly", + "Ġmax imum", + "Ġ189 0", + "ĠOr th", + "Ġair port", + "aw n", + "ĠL anc", + "o ok", + "7 2", + "Ġpre par", + "ĠBudd h", + "en z", + "Ġgu ard", + "ĠD a", + "l ov", + "Ġb ul", + "d ale", + "Ġcon vers", + "Ġcontribut ed", + "Ġemploy ed", + "st ream", + "B l", + "ĠAthlet ics", + "Ġfield s", + "Ġ4 00", + "Ġhot el", + "ĠM ach", + "ĠPro f", + "Ġappl ication", + "ĠUp on", + "ĠOn ly", + "or ia", + "ĠMo ore", + "sc ape", + "ĠPr iv", + "Ġlett ers", + "m it", + "Ġlaw yer", + "Ġcorn er", + "20 20", + "ĠStud ios", + "ĠL ast", + "ac ent", + "\" ),", + "5 9", + "ĠI S", + "Ġhe ro", + "Ġenvironment al", + "ow nt", + "ay an", + "ĠIn n", + "Ġk il", + "ĠTam il", + "Ġ4 9", + "7 4", + "Ġnorm al", + "Ġland s", + "Ġher self", + "ĠMr s", + "Ġpaint ings", + "Ġoffic es", + "ĠArk ansas", + "ĠD ark", + "Ġinst all", + "ot te", + "g ency", + "ĠF M", + "ail and", + "ĠS ud", + "ĠT ig", + "Ġdeterm ined", + "Ġon to", + "Ġeconom y", + "Ġs ust", + "a ver", + "G en", + "Ġre in", + "ĠD all", + "Ġviol ence", + "Ġs ense", + "ĠRober ts", + "ĠSh ar", + "Ġspe ech", + "ĠC ru", + "ĠMalays ia", + "ĠM em", + "Ġcolle cted", + "Ġtechn ical", + "Ġocc urs", + "Ġestablish ment", + "Ġmult i", + "Ġvir t", + "Ġro t", + "ĠCl in", + "Ġbe gin", + "Ġsy nt", + "ĠD C", + "8 1", + "ĠV enez", + "ĠF riend", + "Ġext ensive", + "ĠC er", + "ĠAn na", + "Ġaltern ative", + "ĠL ang", + "ĠDep uty", + "red ited", + "ĠMatt hew", + "ĠEd inburgh", + "ĠGl obal", + "Ġcomp ris", + "ic ts", + "Ġcomp ar", + "ĠHaw ai", + "ap pe", + "ĠC our", + "ĠE ner", + "ĠL ith", + "199 7", + "le ep", + "ĠB art", + "Ġmer ch", + "ĠL yn", + "ĠCommun ist", + "ĠF em", + "7 9", + "6 1", + "Ġim pr", + "ĠBel gian", + "ĠBow l", + "ĠN el", + "ra c", + "Ġenc oura", + "Ġs ay", + "Ġmerg ed", + "ww w", + "at ab", + "ol o", + "Ġs an", + "p oint", + "ĠD VD", + "Ġdo ctor", + "f e", + "se ud", + "ĠSt ew", + "7 1", + "le ase", + "vel and", + "ĠG arden", + "ĠPlay ers", + "Ġj ur", + "Ġhigh way", + "Ġpower ful", + "Ġsupport ing", + "ĠSing h", + "Ġpoet ry", + "Ġstri ke", + "ĠOr chestra", + "ol y", + "ĠKe vin", + "Ġdyn asty", + "Ġarran g", + "olle y", + "ill ing", + "GB T", + "Ġse ctor", + "iss ance", + "Ġc as", + "ĠFin land", + "Ġen joy", + "d i", + "Ġav oid", + "Ġcent uries", + "Ġst adium", + "ĠG ian", + "ĠC ow", + "Ġgen eration", + "ĠComm ander", + "ĠMay or", + "Ġo x", + "Ġexpress ed", + "Ġf ranch", + "ĠR ow", + "im ore", + "ĠM oon", + "Ġ190 9", + "ĠAlf red", + "Ġgl ass", + "ĠP ra", + "ograph ical", + "Ġf ashion", + "Ġres igned", + "Ġc reat", + "ad ow", + "ĠSc ient", + "ĠT it", + "d ie", + "Ġre ign", + "ĠD ick", + "S p", + "Ġhold ing", + "Ġpartn ership", + "20 21", + "Ġ190 5", + "8 3", + "Ġcontra st", + "Ġpat ients", + "ĠDon ald", + "Ġapp arent", + "Ġmat ter", + "Ġ190 6", + "Ġp and", + "0 3", + "ĠP a", + "ĠJoh ann", + "Ġplann ing", + "Ġa uth", + "Ġbe yond", + "D e", + "Ġr ing", + "ĠH ills", + "Ġdec re", + "Ġm and", + "ren a", + "ac he", + "inc orporated", + "eng ers", + "Ġ3 9", + "oy d", + "Ġsp ok", + "Ġm arg", + "ĠSh ah", + "Ġfin ishing", + "Ġph ase", + "Ġpie ces", + "our ney", + "Ġre asons", + "Ġabandon ed", + "n ote", + "Ġcerem ony", + "Ġen emy", + "ĠPro du", + "Ġf uel", + "Ġs ought", + "r ine", + "ĠG on", + "Ġweap ons", + "ĠHon ours", + "E A", + "ĠQ ual", + "Ġind ependence", + "ry st", + "Ġneed s", + "Ġval ley", + "' '", + "ĠFootball ers", + "ĠAlex and", + "8 2", + "Ġfun ctions", + "az ines", + "Ġvis ual", + "e qu", + "ism s", + "Ġinj ured", + "Ġk ick", + "st ead", + "Ġcast le", + "ĠW he", + "Ġsuccessful ly", + "ĠH unt", + "ĠLaw rence", + "Ġfail ure", + "Ġ190 7", + "Ġjun ior", + "Ġfl u", + "s et", + "ĠAtl anta", + "Ġeduc ational", + "ĠF u", + "Ġw alls", + "ram a", + "ĠR yan", + "f ound", + "Ġbro wn", + "Ġpra ised", + "Ġsec retary", + "ĠTh ailand", + "ic ide", + "ur ation", + "ĠG ri", + "ĠMont real", + "ra f", + "olog ies", + "ĠH ug", + "ist ant", + "ĠMic ro", + "Ġst ating", + "Ġfind s", + "ĠM ale", + "ob e", + "Ġr ival", + "Ġwrit e", + "ist ers", + "ia b", + "ĠWalk er", + "Ġcr iminal", + "Ġs ac", + "ĠT ourn", + "0 2", + "ĠLa ure", + "Ġm ind", + "f r", + "ĠE ven", + "Ġconstitu ency", + "ĠR ub", + "ĠThe n", + "Ġde ploy", + "ĠAl umni", + "ĠUt ah", + "Ġim pl", + "ĠN ob", + "bor ough", + "Ġslight ly", + "rom e", + "ĠL og", + "Ġinhabit ants", + "wh ile", + "cy cl", + "Ġeth nic", + "Ġconne ction", + "ĠMunicip al", + "ĠWh at", + "re ct", + "ap ted", + "Ġinv ited", + "Ġro ugh", + "Ġt ry", + "199 6", + "ĠAg ric", + "199 0", + "ĠL iga", + "Ġregard ing", + "Ġback ing", + "og y", + "alle l", + "Ġw ays", + "ĠE nt", + "Ġinv asion", + "Ġwe alth", + "Ġfund ing", + "Ġprov ision", + "ĠF al", + "Ġs and", + "ĠL GBT", + "f rom", + "Ġref ers", + "I N", + "Ġh ydro", + "ĠK ings", + "Ġprogram me", + "Ġf resh", + "f riend", + "ĠAf ghan", + "act ive", + "ĠRel ig", + "if ul", + "ĠCle veland", + "ĠN av", + "Ġste el", + "on i", + "ĠI ce", + "ĠArgent ine", + "Ġdevelop ing", + "Ġpol y", + "6 3", + "Ġvot ed", + "199 5", + "Ġh yp", + "ul es", + "Ġder ived", + "D P", + "Ġpri est", + "Ġord ers", + "ĠMc K", + "ant asy", + "che ll", + "ĠCh ampion", + "ĠN ep", + "Ġent rance", + "Ġtown ship", + "c ome", + "Ġrelig ion", + "R C", + "Ġad ult", + "Ġh ired", + "ĠL iver", + "I t", + "ĠMP s", + "ĠPitts burgh", + "Ġpublic ations", + "Ġam b", + "ĠP as", + "Ġpass enger", + "Ġtemper ature", + "Ġadv ant", + "ĠH op", + "ĠO w", + "ĠSy m", + "ĠY ug", + "Ġpass ing", + "ĠB oys", + "r un", + "ĠP ur", + "f ather", + "Ġpremier ed", + "ĠRog er", + "fect ure", + "ĠRes erve", + "ĠSt age", + "Ġcall s", + "ĠC hem", + "ĠP rom", + "n ia", + "Ġnucle ar", + "ĠM ission", + "h ard", + "ĠMarg aret", + "and o", + "iam ond", + "ĠMet ropolitan", + "Ġ190 4", + "Ġp owers", + "Ġm el", + "Ġin stru", + "ĠD igital", + "v ements", + "Ġcaus ing", + "ĠW ard", + "ele ction", + "B I", + "or age", + "ĠE qu", + "Ġequ al", + "ĠSerb ian", + "7 3", + "Ġcl in", + "ish ops", + "ĠA M", + "ot ic", + "ĠI ron", + "ours es", + "ĠOtt oman", + "ĠG ene", + "ĠG ran", + "z er", + "Ġres erve", + "ĠRoman ian", + "ĠPet ers", + "Ġgen era", + "Ġinvol ving", + "ĠL l", + "Ġd a", + "Ġd ates", + "ĠB eat", + "6 2", + "ĠY an", + "ĠDis ney", + "ap olis", + "Ġfund s", + "ĠL et", + "Ġbo at", + "Ġem phas", + "ĠRail road", + "Ġc row", + "ĠS ac", + "Ġbas ic", + "ĠHung ary", + "ĠF el", + "Ġg ar", + "Ġesc ape", + "\" ).", + "ĠRoman ia", + "ĠJes us", + "ut ies", + "Ġpass es", + "Ġ *", + "Ġsele ction", + "ĠCom ics", + "Ġdec ades", + "ĠVenez uel", + "ĠR ick", + "us al", + "ĠF ight", + "ĠN AS", + "Ġprote ct", + "ĠM ult", + "ust er", + "Ġfle et", + "Ġconclud ed", + "Ġv o", + "Ġcont ained", + "pos es", + "ĠI mp", + "ter m", + "Ġpand emic", + "Ġv arian", + "Ġinc orporated", + "b urn", + "ĠGirl s", + "Ġy our", + "ĠM es", + "Ġp ed", + "ĠTransport ation", + "Ġ5 2", + "clus ion", + "Ġcompet e", + "Ġb ishop", + "ĠR io", + "Ġcompos ition", + "Ġtra v", + "ĠFinn ish", + "Ġm art", + "ĠS C", + "Ġdo ing", + "ĠBu ff", + "m ers", + "Ġregist ered", + "ĠWh o", + "is f", + "a fter", + "ĠFlor a", + "on omy", + "Ġadv oc", + "m at", + "s ki", + "Ġinflu enced", + "Ġinst alled", + "ĠD ance", + "s ong", + "ang er", + "ĠF all", + "ĠIn vest", + "' m", + "ĠHol lywood", + "ĠMic hel", + "av ed", + "Ġc ru", + "ĠSe attle", + "ĠN eb", + "Ġr ise", + "Ġtransl ation", + "Ġrequ est", + "ĠGr ant", + "Ġsome one", + "oth ing", + "Ġ188 0", + "% .", + "Ġsh ape", + "Ġe mp", + "A P", + "ap es", + "h ing", + "Ġexist ence", + "Ġo vers", + "n ers", + "Ġw arn", + "n et", + "uk i", + "Ġworld wide", + "Ġjoin ing", + "re es", + "Ġl aid", + "ĠR y", + "n ight", + "ĠR ights", + "Ġa id", + "ra cy", + "or f", + "ograph ics", + "Ġobserv ed", + "ĠMet ro", + "II I", + "Ġarg ued", + "Ġform al", + "Ġsc enes", + "W e", + "Ġview s", + "Ġemploy ees", + "ĠN et", + "Ġw atch", + "Ġdet ails", + "z i", + "Ġp ione", + "Ġconsist ing", + "Ġexper ien", + "ĠV eg", + "Ġmain tained", + ") \"", + "ĠP rad", + "re te", + "ĠCam er", + "ĠDef ense", + "Ġhom es", + "ĠT ak", + "hemat ics", + "ĠBalt imore", + "ĠF ive", + "ri k", + "Ġprom ote", + "Ġb odies", + "ĠB ull", + "or ro", + "ĠOb last", + "Ġan th", + "el and", + "Ġeng aged", + "Ġan aly", + "ĠEner gy", + "Ġrecord ings", + "ownt own", + "ret t", + "Ġcar ry", + "Ġ190 3", + "Ġsup erv", + "ĠPubl ishing", + "c ia", + "Ġanim al", + "ĠSe ction", + "L C", + "ĠBru ce", + "Ġdr ivers", + "Ġs oci", + "Ġsol id", + "un ction", + "Ġbir ds", + "ĠMar ie", + "ĠAr n", + "ĠCh amber", + "Ġsc ale", + "Ġstart s", + "Ġanim ated", + "h ar", + "ĠG a", + "ĠS af", + "S c", + "ĠMor gan", + "Ġstat ement", + "Ġcricket ers", + "Ġt or", + "ĠU E", + "Ġacc used", + "ra structure", + "as a", + "Ġband s", + "Ġop in", + "6 9", + "ĠPal ace", + "ĠTh ough", + "Ġcon stant", + "ĠColon el", + "r ations", + "ĠA y", + "idd en", + "Ġheav ily", + "ĠK an", + "ĠF ried", + "ĠR acing", + "Ġsur vey", + "Ġp ull", + "Ġqu ant", + "O R", + "Ġn om", + "Ġ5 1", + "ĠRuss ell", + "bass ador", + "un c", + "emb le", + "ĠWrit ers", + "Ġch air", + "ol t", + "Ġre aching", + "ell i", + "ĠB uck", + "st ar", + "ĠH ere", + "Ġtra ined", + "ov o", + "ang el", + "Ġso le", + "ĠKn ight", + "Ġpl ot", + "ul ate", + "ĠR ot", + "ĠCl ar", + "Ġad vent", + "Ġprote in", + "le te", + "ur day", + "Ġt ropical", + "Ġ5 5", + "ol ph", + "ĠP ear", + "pect ive", + "ĠOper ation", + "Ġspec ifically", + "ect s", + "ĠKel ly", + "Ġfound ation", + "Ġstand ards", + "Ġb atter", + "Ġass ess", + "Ġext rem", + "l on", + "ond er", + "Ġt rying", + "Ġ190 2", + "Ġ190 1", + "Ġarch ae", + "Ġeff ic", + "Ġcom ic", + "od a", + "ival ent", + "ĠSoc cer", + "p ers", + "ĠPe ace", + "Ġaff ected", + "ĠCro wn", + "ĠLe v", + "ĠChrist opher", + "id el", + "Ġb an", + "ch t", + "Ġchem ical", + "Ġis lands", + "Ġun cle", + "ĠF A", + "erb ai", + "Ġag ency", + "ĠD yn", + "h op", + "ather ine", + "ĠEx t", + "Ġimport ance", + "=\" #", + "ĠR est", + "it als", + "Ġbehav ior", + "ĠV ik", + "Ġtw elve", + "Ġvol unte", + "ĠP ad", + "Ġt un", + "Ġcomp ut", + "Ġt end", + "ĠYug oslav", + "arg o", + "ĠBanglades h", + "ĠPrin cess", + "Ġexp ed", + "t hen", + "d o", + "Ġto ward", + "Ġimpro ve", + "it ations", + "ĠP atri", + "Ġs ale", + "Ġm ent", + "ĠAd vent", + "ann ed", + "t op", + "et ies", + "int end", + "Ġhe ard", + "ĠDe an", + "ĠCo le", + "ĠLe ban", + "Ġtransl ated", + "Ġw rest", + "I V", + "ĠBroad cast", + "Ġv ide", + "ĠDe ad", + "Ġreb u", + "ĠPerson nel", + "ĠR and", + "Ġobject s", + "ĠStud io", + "or us", + "ine a", + "Ġh air", + "ĠMed icine", + "ĠP y", + "ash i", + "ĠMunicip ality", + "Ġs ession", + "ĠStew art", + "199 4", + "ĠYear s", + "ir t", + "ĠR an", + "Ġintro duction", + "aught ers", + "Ġre ality", + "Ġshe ll", + "Ġreg iment", + "Ġeng ines", + "ĠE ver", + "ĠFI FA", + "Ġneg ative", + "Ġl at", + "Ġse venth", + "Ġrece ption", + "ĠGl as", + "Ġpaint ers", + "ĠM aj", + "us cript", + "go ing", + "Ġde leg", + "ĠC are", + "Ġdep uty", + "ĠVi enna", + "own ed", + "Ġres istance", + "ann y", + "Ġw eather", + "Ġstr ateg", + "Ġsecond s", + "Ġcollabor ation", + "ĠCE O", + "ud a", + "ĠK on", + "Ġlic ens", + "Ġth row", + "Ġa head", + "es c", + "ĠHamp shire", + "bo ards", + "Ġar med", + "com ing", + "Ġn ick", + "Ġ4 7", + "b r", + "Ġ ille", + "Ġ {", + "ĠS ign", + "ĠMar ket", + "Ġdescrib es", + "Ġposs ess", + "ĠO ri", + "Ġad apted", + "ĠTourn ament", + "ĠL en", + "wh ite", + "Ġrul ed", + "ĠL ib", + "ĠB ed", + "ĠAss oci", + "ĠNe v", + "ĠTr ade", + "g ow", + "Ġproduc ing", + "os m", + "Ġext ension", + "est yle", + "Ġm ole", + "Ġaccom pan", + "ĠLith uan", + "ĠAng l", + "umb ent", + "Ġdist inct", + "ĠT rad", + "Ġz one", + "Ġbrief ly", + "D A", + "uss ion", + "ĠMe an", + "us hed", + "Ġd ivers", + "Ġp rice", + "Ġprov ed", + "Ġfact ory", + "ĠNel son", + "am ic", + "Ġ ri", + "ĠP sych", + "ĠG ill", + "le vel", + "Ġcall ing", + "C l", + "am an", + "ĠAz erbai", + "ĠE ston", + "ĠH orn", + "Ġdivision s", + "em en", + "Ġ ere", + "Ġentire ly", + "Ġpri ze", + "Ġste am", + "ĠPh ot", + "ĠO ur", + "Ġmar ine", + "ĠA T", + "ĠCamp bell", + "Ġcompos ers", + "Ġrev olution", + "ĠDall as", + "ĠLiver pool", + "Ġex erc", + "ink ing", + "Ġim ages", + "Ġle ct", + "M ar", + "ĠMain e", + "ĠSup port", + "Ġg ain", + "Ġclos ely", + "Ġup d", + "ĠConserv ative", + "aval ry", + "olley ball", + "ĠCh airman", + "in cluding", + "ĠOn ce", + "in ian", + "ĠAthlet ic", + "Ġschol ars", + "b al", + "Ġres idence", + "ect ive", + "Ġagric ultural", + "ĠA rena", + "ĠEconom ic", + "ĠH end", + "ming ham", + "ĠD od", + "ĠThom pson", + "ĠCarl os", + "ell ite", + "am s", + "Ġr ating", + "Ġch ose", + "duc ing", + "199 3", + "ĠAust in", + "ĠSar ah", + "ĠD ra", + "Ġnorth west", + "ĠK ra", + "ic it", + "Ġcaus es", + "Ġappl ications", + "ĠJim my", + "ah n", + "Ġdist in", + "Ġed ited", + "Ġinter ior", + "as ka", + "ov ation", + "ĠE very", + "Ġp ages", + "d y", + "Ġcontribut ions", + "Ġide as", + "Ġac id", + "ĠEp is", + "ĠNor man", + "ab y", + "ĠC hen", + "ĠF ood", + "Ġsur g", + "ĠM ethod", + "ĠAll iance", + "Ġsh all", + "th m", + "ina e", + "ĠW right", + "Ġm ilit", + "Ġdoc uments", + "ĠCom ple", + "ĠH ell", + "un ch", + "Ġcolon ial", + "Ġre duce", + "il er", + "Ġloc ality", + "Ġent ertain", + "Ġsymb ol", + "Ġin form", + "Ġcop y", + "Ġpass engers", + "ĠOrth odox", + "Ġdo or", + "f inal", + "ĠKenn edy", + "Ġfl at", + "Ġlead s", + "ĠUE FA", + "Ġproduc ers", + "ĠR ain", + "ĠPl at", + "Ġed ge", + "Ġdis miss", + "ĠAg ency", + "Ġp up", + "Ġopportun ity", + "in ch", + "ate gy", + "20 22", + "Ġathlet es", + "Ġ189 8", + "Ġch oice", + "Ġem ot", + "Ġg arden", + "inn er", + "Ġrail road", + "Ġbelie ve", + "Ġcharg es", + "Ġ5 4", + "aut iful", + "Ġgradu ate", + "og ether", + "199 2", + "Ġc rown", + "ins ula", + "Ġroad s", + "Ġstreng th", + "ent ially", + "ĠR ud", + "ĠBe ck", + "ĠO m", + "ĠN ord", + "ir i", + "Ġregard ed", + "Ġtechn iques", + "Ġw itness", + "Ġposs ibly", + "ĠOper a", + "p erson", + "ĠE mer", + "ĠAdam s", + "ĠL ower", + "ph a", + "Ġcomp ilation", + "ĠBrook lyn", + "ult an", + "W est", + "ĠB omb", + "Ġdebut ed", + "Ġpro ced", + "Ġinter ests", + "rane an", + "ĠSen ator", + "Ġon es", + "ĠK it", + "am o", + "uc ks", + "v ia", + "ĠFrank lin", + "Ġg etting", + "Ġres ign", + "ĠAp p", + "ar us", + "ĠBern ard", + "Ġimpro ved", + "Ġre ally", + "ĠB illy", + "ĠG ulf", + "ĠD ub", + "ĠN ash", + "Ġm ist", + "ph ony", + "at ures", + "ĠDem ographics", + "Ġcomm itted", + "ĠSerb ia", + "et ime", + "h aps", + "Ġa er", + "Ġoper ate", + "Ġdist ributed", + "Ġf lying", + "Ġan cest", + "ĠCo oper", + "ĠVol ume", + "aw are", + "ĠPort land", + "ob a", + "or ial", + "ter ed", + "Ġref uge", + "ĠRob inson", + "ĠTr ump", + "ĠDak ota", + "ĠCat al", + "ĠCon stitution", + "Ġadj acent", + "el er", + "ĠN am", + "Ġparticip ate", + "a ire", + "Ġf ine", + "ĠLI NE", + "ĠBir mingham", + "Ġc ore", + "le e", + "Ġsing ing", + "ĠP ir", + "ĠH om", + "Ġa x", + "Ġint elligence", + "ĠStan ley", + "are st", + "ĠBrother s", + "ĠI van", + "in ate", + "p en", + "Ġfav our", + "ĠW restling", + "p ir", + "Ġcon vent", + "Ġus ers", + "Ġw aters", + "Ġen l", + "Ġ15 0", + "Ġ189 9", + "Ġval ues", + "Ġcont rolled", + "ug ar", + "Ġs am", + "Ġdam aged", + "ĠL ud", + "Ġground s", + "oc racy", + "Ġcle an", + "Ġob tain", + "y pe", + "ĠUp per", + "Ġqu ite", + "u ct", + "Ġh am", + "ish ment", + "ĠTra ining", + "ĠMot or", + "b ach", + "Ġb rig", + "ĠMur ray", + "Ġ187 0", + "fer red", + "ĠV ari", + "ĠW ol", + "Ġsurv ived", + "Ġdemon st", + "ĠCon struction", + "writ ers", + "ic ate", + "ĠW a", + "Ġan s", + "ĠV erm", + "Ġpro s", + "ĠRe port", + "Ġclass ification", + "ĠTe le", + "ĠSoc orro", + "ĠB ush", + "gr ade", + "Ġse ctions", + "Ġfranch ise", + "ĠCh ang", + "Ġphot ograph", + "ĠMarsh all", + "ĠLINE AR", + "Ġrepe ated", + "Ġsub stant", + "ĠGra ham", + "Ġcomb ination", + "Ġit ems", + "Ġf ly", + "Ġmeas ures", + "Ġdra wn", + "et a", + "Ġb udget", + "Ġdef ensive", + "ish ments", + "ĠB ud", + "Ġbro ken", + "Ġcon sequ", + "aly mp", + "att an", + "ĠColle ction", + "ĠA BC", + "omm od", + "i op", + "ĠD oc", + "Ġelect ronic", + "Ġbel ief", + "Ġdefe ating", + "Ġpre m", + "ok a", + "s ch", + "h u", + "Ġann iversary", + "ĠYou T", + "Ġunivers ities", + "Ġshoot ing", + "ĠG ary", + "ors es", + "Ġbene f", + "ĠSat urday", + "Ġex act", + "l ie", + "ĠJ azz", + "Ġphil osophy", + "ĠA qu", + "Ġtrans ition", + "ĠMad rid", + "ill o", + "Ġdesign s", + "t ic", + "ĠS yn", + "Ġimpr ison", + "ĠM ort", + "ĠCar ter", + "ĠCh and", + "Ġt ank", + "Ġjust ice", + "Ġstand ing", + "Ġearl iest", + "Ġgr ade", + "Ġsign al", + "ĠR u", + "ĠTax a", + "ĠPier re", + "d in", + "Ġh our", + "ĠIn s", + "ĠSec ret", + "Ġgood s", + "ĠPre fecture", + "Ġw orth", + "ĠS i", + "Ġmom ent", + "I s", + "om ing", + "Ġown ers", + "Ġl ists", + "Ġm ort", + "Ġcapt ure", + "Ġfe ed", + "ĠIran ian", + "Ġjud ges", + "el ess", + "Ġmed icine", + "Ġre jected", + "Ġcritic ized", + "Ġd ry", + "c ious", + "ĠV ic", + "ĠCar ib", + "ĠV ers", + "r m", + "ĠC ass", + "Ġfinal s", + "d ers", + "ĠL ane", + "apt ist", + "b ishop", + "ĠArt ists", + "Ġtri p", + "N e", + "atab ase", + "ĠR ap", + "Ġprov incial", + "Ġhum ans", + "ĠP C", + "Ġhtt p", + "Ġcharg ed", + "Ġ6 3", + "Ġneigh bour", + "Ġact ual", + "Ġdeliver ed", + "ĠI v", + "ak ed", + "r ons", + "Ġch ain", + "or er", + "het ic", + "H e", + "Ġactiv ist", + "b ridge", + "ut ation", + "Ġd ie", + "ĠY orks", + "Ġpur poses", + "E E", + "Ġbott om", + "Ġ( ).", + "Ġrele g", + "ĠDef ence", + "G A", + "Ġpar allel", + "M an", + "w all", + "Ġpre mi", + "Ġgr ant", + "Ġ189 6", + "Ġinter pret", + "Ġcan cell", + "Ġter ror", + "ĠAg ain", + "oc a", + "Gen eral", + "Ġsk ills", + "Ġshow ing", + "ĠD aily", + "P C", + "Ġst ores", + "Ġreg ularly", + "ĠTh us", + "Ġv eter", + "c oh", + "b at", + "p at", + "ĠLe ad", + "abl ed", + "i ac", + "ĠMov ement", + "Ġs ell", + "ĠPar alymp", + "ĠJohn ny", + "hib ition", + "Ġprison ers", + "Ġmed ium", + "ant ly", + "ce ived", + "ĠA ld", + "if er", + "ot es", + "Ġg ets", + "be an", + "Ġse ems", + "Ġis ol", + "ĠS ax", + "ĠJ ason", + "Ġqual ifying", + "et on", + "T S", + "ĠCat hedral", + "ĠT ot", + "Ġven ues", + "t own", + "Ġc ourses", + "Ġgreat est", + "ol ar", + "ĠG or", + "Ġoppos ite", + "Ġro utes", + "ĠN ad", + "Ġn aval", + "Ġbusiness es", + "ĠCy cl", + "ĠW ing", + "Ġpubl ishing", + "Ġdesign er", + "ĠMedal ists", + "F M", + "Ġ189 7", + "Ġvict ims", + "ĠBen j", + "it able", + "ol ly", + "ĠGu y", + "ĠSt ra", + "Ġpurch ase", + "Ġhabit at", + "Ġsouth west", + "Ġa ware", + "Ġsub urb", + "ĠW oman", + "h t", + "ĠNaz i", + "Ġlegisl ation", + "ĠOrgan ization", + "al ia", + "w right", + "iel der", + "ĠLank a", + "Ġtri es", + "over ty", + "iter ranean", + "Ġ189 5", + "199 1", + "l s", + "Ġstri p", + "Ġpers ons", + "I nd", + "ĠEgypt ian", + "ĠAddition ally", + "Ġfact ors", + "ĠYorks hire", + "Ġresident ial", + "ou ver", + "Ġe gg", + "Ġjournal ists", + "E S", + "Ġ5 6", + "le ased", + "ast ery", + "ĠN BA", + "Ġin sc", + "op eration", + "Ġd ies", + "ĠH ig", + "Ġfre edom", + "Ġb oys", + "Ġmet ers", + "Ġm ile", + "Ġh its", + "Ġstand s", + "ĠAp pe", + "Ġg ender", + "d r", + "Ġscient ists", + "P ro", + "y ll", + "Ġmin ute", + "mer ce", + "ĠA R", + "Ġw ounded", + "x ual", + "Ġbusiness man", + "Ġhe at", + "Ġadm itted", + "r ong", + "Ġr ivers", + "Ġt ack", + "Ġadvant age", + "ĠT ob", + "ace ae", + "ol ia", + "Ġ5 3", + "Ġexam ples", + "ĠBe g", + "ĠM ack", + "Ġatt ached", + "ĠNiger ia", + "Ġarran ged", + "t ure", + "Ġkn ock", + "am ents", + "ĠR ico", + "le ans", + "ĠWind ows", + "Ġt ur", + "ĠAuthor ity", + "Ġdr iving", + "Ġm emorial", + "Ġh ill", + "ĠK um", + "Ġc risis", + "Ġal leg", + "h ai", + "ĠCap ital", + "Ġdev ice", + "Ġmot ion", + "ĠCo ok", + "Ġcy cle", + "' re", + "ĠSer ge", + "res ents", + "ĠWeb site", + "ip h", + "Ġdesc ription", + "ĠLiter ature", + "ĠTro phy", + "ĠF ull", + "Ġcost s", + "ĠI an", + "ĠGh ana", + "f iction", + "Ġcommun ication", + "Ġacc ommod", + "Ġst ages", + "um in", + "N C", + "Ġstre ets", + "Ġsy nd", + "ĠM oths", + "ĠGu ide", + "Ġs ave", + "Ġwh y", + "ĠEv ans", + "ĠPar ish", + "Ġeas ily", + "Ġro b", + "or ce", + "O C", + "Ġsequ ence", + "Ġcred ited", + "v ant", + "end ment", + "ĠGr ay", + "ĠH as", + "Ġs uff", + "Ġcl imb", + "Ġd uty", + "ĠGr ade", + "as ure", + "Ġsub mar", + "Ġdec ade", + "l ow", + "Ġm ine", + "Ġr ich", + "Ġrest rict", + "Ġdeterm ine", + "Ġfa ith", + "as i", + "198 0", + "se a", + "Ġstar red", + "Ġro oms", + "ĠDer by", + "ĠS r", + "Ġcomm une", + "M P", + "- -", + "ĠElect ric", + "Ġk id", + "Ġcour ts", + "ĠEle mentary", + "Ġprote cted", + "ĠNot e", + "Ġg ang", + "Ġtyp ical", + "ia h", + "ĠH um", + "Ġmembers hip", + "ot hes", + "Ġren ew", + "ĠRich mond", + "Ġf er", + "Ġpain ted", + "a uty", + "Ġdem and", + "Ġcom ed", + "ĠGlas gow", + "ay ed", + "rap y", + "Ġs ki", + "ĠOr leans", + "Ġmy th", + "ĠU g", + "Ġass umed", + "Ġret ained", + "Ġa f", + "ĠCon vention", + "ĠMed iterranean", + "e enth", + "Ġb ond", + "Ġrun ner", + "ie ce", + "Ġh unt", + "Ġcirc um", + "b ul", + "Ġre action", + "Ġassist ance", + "Ġthe ater", + "ĠPrim ary", + "Ġoper ates", + "pro fit", + "Ġrest ored", + "ĠJ ama", + "ĠE ug", + "r ant", + "Ġaccompan ied", + "Ġnick n", + "ĠL ad", + "m und", + "Ġmin ing", + "Ġinvest ment", + "ĠF oot", + "Ġp ool", + "oh n", + "ĠJud ge", + "ĠMil an", + "Ġoff ensive", + "ch o", + "Ġte en", + "Ġf an", + "ĠM ond", + "ĠS S", + "ĠM ap", + "op al", + "ĠBor ough", + "Ġc ited", + "ĠUr ban", + "ĠBar ry", + "ĠCrit ical", + "ĠT u", + "Ġfl o", + "ann els", + "Ġvide os", + "Y ou", + "s er", + "ĠPublic ations", + "m ith", + "ĠConf eder", + "c ussion", + "ĠDisc ography", + "ĠFle et", + "ĠChall enge", + "ĠHind u", + "ĠSpec ies", + "ĠF ather", + "ĠC her", + "il st", + "198 9", + "Ġcon text", + "a ired", + "Ġ5 7", + "ĠMu ham", + "ter y", + "Ġp ian", + "Ġrep resents", + "Ġse ed", + "Ġut il", + "ĠTig ers", + "ĠP av", + "c op", + "Ġf est", + "ĠSal v", + "ĠWay ne", + "Ġb rain", + "Ġnot ably", + "Ġexecut ed", + "Ġhead ed", + "ĠBroad way", + "Ġf ra", + "Ġd oll", + "R S", + "ĠW W", + "ĠK ath", + "ran g", + "ick et", + "ĠThe ater", + "ĠFran ces", + "C D", + "cycl op", + "Ġexperien ced", + "Ġc ous", + "on ian", + "Ġret ail", + "ac c", + "Ġnewsp apers", + "Ġadv is", + "Ġb ed", + "d oor", + "Ġf ired", + "ĠAnd y", + "Ġst ood", + "ĠM i", + "iv ated", + "ĠAct ress", + "Ġ189 3", + "ĠPict ures", + "Ġchall enge", + "Ġman uscript", + "Ġpolic ies", + "Ġpr ime", + "Ġgr ass", + "Ġ6 2", + "Ġs ed", + "is hers", + "ĠH old", + "ĠSele cted", + "Ġcolle ctions", + "Ġd ating", + "re c", + "Ġ186 0", + "ĠPrad esh", + "Ġc aught", + "ak u", + "Ġreturn s", + "or row", + "Ġsepar ated", + "o i", + "Ġlook ing", + "edd ing", + "ĠF ace", + "Ġcar rying", + "Ġin fl", + "Ġj ump", + "th a", + "ĠV as", + "Ġher itage", + "Ġdou b", + "Ġcon qu", + "i ation", + "ĠB aker", + "Ġra cial", + "I P", + "k ov", + "c ular", + "in ter", + "Ġs elling", + "ĠPolit ics", + "Ġt ail", + "Ġform ally", + "g ie", + "ĠPh oen", + "Ġconcern s", + "ĠR ena", + "Ġb ran", + "Ġr hy", + "ĠWar ren", + "ĠCent ury", + "ĠN ever", + "Ġuns uccess", + "ows ki", + "Ġw ings", + "ot an", + "ĠF rid", + "ĠH it", + "Ġstop ped", + "Ġass ault", + "P h", + "ĠYouT ube", + "ĠP il", + "Ġele ctoral", + "ĠFl ore", + "ĠV el", + "ĠBl ues", + "ĠM ong", + "uk a", + "ĠPer u", + "ac on", + "Ġ189 4", + "c hers", + "Ġ188 9", + "ĠB rist", + "ĠL ov", + "Ġkil omet", + "ĠD J", + "ĠGab ri", + "ĠN at", + "ĠSe ven", + "ra ge", + "Ġde st", + "Ġn or", + "ĠMit chell", + "R e", + "ĠCharl ie", + "ĠJ osh", + "ul u", + "Ġf iled", + "ec ution", + "ĠF act", + "ĠDel hi", + "ie ge", + "ĠBenj amin", + "Ġrestaur ant", + "y les", + "att ers", + "Ġd uties", + "ras ka", + "Ġast ron", + "ĠRang ers", + "Ġcar bon", + "ro c", + "Ġ189 2", + "Ġe ye", + "ĠA er", + "ind ing", + "Ġun iform", + "ĠM other", + "ĠMon te", + "Ġv aria", + "Ġatt ract", + "ĠSlov ak", + "Ġinstr uments", + "Ġt all", + "Ġmag azines", + "lo ad", + "amp s", + "Ġend emic", + "op les", + "is d", + "ĠA S", + "ĠR al", + "ĠLim ited", + "it ime", + "ĠR av", + "ĠC art", + "Ġsom ew", + "Ġsignificant ly", + "ĠL anguage", + "Ġin her", + "ĠM ans", + "ĠG un", + "ok ed", + "ĠC ase", + "ĠMan h", + "ĠPol y", + "ten ance", + "anc ouver", + "Ġshe l", + "j ab", + "Ġguitar ist", + "Ġcoast al", + "Ġadapt ation", + "Ġlin k", + "Ġnot hing", + "Ġcolle ges", + "Ġsever e", + "ĠB und", + "ĠB enn", + "Ġarr ival", + "ĠQu arter", + "ĠM all", + "ĠN orm", + "ĠComp anies", + "ĠM ess", + "Ġdemon str", + "orn e", + "Ġth ick", + "m aster", + "Ġpre ced", + "Ġcritic ism", + "Ġleg end", + "ĠR ic", + "ĠHawai i", + "Ġtest ing", + "p age", + "Ġdeg rees", + "ĠNov a", + "ĠNev ada", + "ĠGu inea", + "ĠColomb ia", + "Ġown ership", + "Ġwind ows", + "ĠTown s", + "forman ce", + "ar an", + "aw ay", + "Ġb at", + "ĠNep al", + "Ġexpress ion", + "H S", + "igg est", + "Ġequ ivalent", + "Ġrom antic", + "Ġb rick", + "Ġrespons ibility", + "Ġbring ing", + "or iginal", + "Ġob l", + "eg et", + "Ġin stitution", + "Ġexpl os", + "ĠN ation", + "ut ions", + "Ġ1 20", + "Ġcol our", + "ĠB urg", + "ĠCon n", + "Ġus er", + "ĠVo iv", + "le ton", + "h ab", + "ĠZ e", + "ĠAnd r", + "as hed", + "Ġmed als", + "ok er", + "ĠAlbert a", + "ĠNeb raska", + "Ġchampionship s", + "ĠM ak", + "Ġinc orpor", + "ĠB achelor", + "Ġorgan isation", + "Ġpo ets", + "id ency", + "Ġd aughters", + "Ġdep end", + "l ock", + "ĠWar ner", + "Ġpract ices", + "Ġfl ower", + "c ount", + "gress ive", + "usal em", + "N o", + "Ġlearn ed", + "ph an", + "Ġpo em", + "Ġfl owers", + "Ġsuccess or", + "he me", + "Ġco ordin", + "Ġother wise", + "ĠBarb ara", + "ĠSc hed", + "Ġmunicipal ities", + "ĠV lad", + "Ġ188 5", + "is ations", + "Ġvess els", + "Ġst orage", + "Ġsugg ests", + "ĠStand ard", + "ĠBuff alo", + "Ġin du", + "ĠPhilipp ine", + "ĠG rad", + "Ġfilm ed", + "ĠWeek ly", + "Ġunder standing", + "ph one", + "ship s", + "wh o", + "ast rop", + "ĠAl t", + "Ġreplace ment", + "ĠJ enn", + "Ġ189 1", + "bre ak", + "ĠCarib bean", + "ĠMin or", + "ĠHun ter", + "Ġh ur", + "o om", + "Ġwind ow", + "Ġcol span", + "odes hip", + "ĠT ower", + "Ġfact or", + "Ġch ance", + "ater n", + "ĠY e", + "i ya", + "p ower", + "Ġp hen", + "arm a", + "Ġw ave", + "ĠSpe ed", + "Ġlin ked", + "Ġcrow d", + "O N", + "il k", + "ĠF itz", + "ĠMuham mad", + "ĠU nt", + "Ġacc ur", + "Ġturn s", + "st ances", + "Ġmed ieval", + "Ġcross ing", + "ĠAl aska", + "ĠJon athan", + "le m", + "Ġprep ared", + "x ts", + "Ġclass ified", + "Ġrece pt", + "Ġdis appe", + "Ġcover age", + "D S", + "ĠP ant", + "ĠW ang", + "u y", + "Ġdif ference", + "Ġdi agn", + "ĠF ine", + "Ġpeak ed", + "M E", + "Ġhost s", + "elle ct", + "en ia", + "Ġcomm emor", + "st ad", + "Ġnomin ation", + "Ġsound track", + "Ġinter ested", + "Ġb anks", + "og le", + "n ik", + "ĠGre ater", + "Ġf rag", + "ĠJ ess", + "Ġ7 6", + "Ġauth ors", + "Ġoccup ation", + "ĠRe lease", + "Ġrec ip", + "rupt ion", + "ĠSt ars", + "ĠV ancouver", + "Ġt ied", + "Ġmon ument", + "ĠVictor ian", + "ĠCharl otte", + "av an", + "Ġdev ices", + "Ġm outh", + "ch ang", + "Ġdid n", + "ĠTechn ical", + "198 8", + "Ġartist ic", + "f are", + "ĠAp ple", + "ĠK os", + "ĠP A", + "Ġv eget", + "Ġf ictional", + "ĠL ate", + "Ġweek ly", + "ĠBeng al", + "ien cy", + "ĠProt est", + "ĠS aints", + "ĠUn it", + "ĠCon stant", + "ĠT ang", + "ĠRec ipients", + "ĠAm az", + "Ġinv ent", + "Ġthe ore", + "ĠA P", + "Ġcover ing", + "Ġens ure", + "Ġd anc", + "Ġm obile", + "ĠS um", + "Ġrec ru", + "Ġte achers", + "Ġland ing", + "Ġdesc end", + "Ġun us", + "Ġsubject s", + "ĠBl ood", + "ĠT ag", + "ĠH ud", + "ark ed", + "Ġ| }", + "ict ions", + "ant ine", + "Ġag encies", + "ĠAss istant", + "Ġfl ows", + "Ġparliament ary", + "Ġb iggest", + "anc ell", + "Ġchild hood", + "Ġ6 1", + "Ġass ass", + "ĠVoiv odeship", + "ĠAl ger", + "en burg", + "ar on", + "Ġas pects", + "ens es", + "ĠL uther", + "ĠHe b", + "ri x", + "ĠNich olas", + "ĠClass ic", + "Ġ ign", + "ĠDef unct", + "ĠChart s", + "ĠL ore", + "ot ype", + "ĠAl ice", + "ĠSt re", + "ĠOn line", + "198 7", + "Ġart illery", + "ik o", + "A m", + "Ġs un", + "ĠP le", + "Ġc old", + "ĠFil ip", + "ourn als", + "Ġp od", + "ric ane", + "Ġexper t", + "er ia", + "Ġde pos", + "Ġstr uck", + "ĠC hel", + "Ġsquad ron", + "m osp", + "iv ia", + "Ġmanufact uring", + "ĠInd ians", + "ĠF ab", + "ĠSte el", + "ĠP ast", + "ĠEx per", + "Ġcount ies", + "ĠUl t", + "Ġpopular ity", + "ou stic", + "an im", + "Ġ188 8", + "Ġminist ers", + "ĠGri ff", + "g ov", + "Ġstay ed", + "Ġv ary", + "ĠDist ribution", + "ĠBrist ol", + "ess ions", + "oc ol", + "Ġc up", + "iv an", + "ĠLu is", + "ĠS umm", + "Ġhistor ians", + "ĠO range", + "Ġelim inated", + "Ġforest s", + "Ġs ort", + "force ment", + "Ġass embly", + "E ng", + "ĠF ish", + "Ġd og", + "f olk", + "f ers", + "id ad", + "ĠFac ulty", + "j u", + "Ġappro pri", + "ounc ill", + "ĠC ode", + "ĠS id", + "ĠAfghan istan", + "Ġclass ic", + "ur u", + "ĠP in", + "Ġro se", + "Ġp apers", + "old s", + "Ġre ferences", + "ue z", + "ĠSt orm", + "Ġdisestabl ished", + "Ġgen e", + "sh aped", + "Ġaccom pl", + "in ations", + "ĠJer usalem", + "Ġeven ing", + "Ġlocomot ives", + "Ġd ated", + "Ġele ment", + "ĠPark er", + "ĠMor oc", + "ĠD NA", + "il ia", + "Ġhead s", + "Ġpict ure", + "ĠT ol", + "ĠAp pl", + "Ġsc heme", + "ĠC inc", + "h us", + "Ġm anga", + "oth y", + "og a", + "M C", + "Ġd im", + "b el", + "Ġch annels", + "Ġinf rastructure", + "ĠAdm iral", + "ĠM ind", + "Ġ5 8", + "ĠSm all", + "Ġl es", + "Ġche ck", + "Ġf ram", + "Ġrequire ments", + "Ġgradu ating", + "Ġ id", + "Ġf alls", + "ĠS R", + "Ġor chestra", + "Ġappoint ment", + "ĠMean while", + "ĠK ap", + "h and", + "ĠU nd", + "Ġ vert", + "ĠSa udi", + "ĠM aced", + "Ġt ie", + "st ory", + "ĠN i", + "Ġsynt hes", + "ann er", + "ush ing", + "Ġag greg", + "Ġaff airs", + "Ġpen alty", + "Ġprocess es", + "Ġwithd raw", + "Ġwhe el", + "ĠS ide", + "ĠSo ft", + "ĠOl iver", + "ĠCont emporary", + "ra ce", + "ov en", + "ĠE sp", + "Ġcondu ct", + "Ġsign ing", + "Ġn ations", + "Ġb it", + "app ing", + "ĠR AF", + "Ġ188 7", + "Ġf ixed", + "ĠA round", + "ĠKn ights", + "ĠIn it", + "ĠE vent", + "m m", + "Ġ186 5", + "Ġsent enced", + "Ġround s", + "Ġl ieutenant", + "Ġt ask", + "Ġdif ferences", + "Ġaud io", + "Ġconv icted", + "Ġs now", + "Ġre nt", + "kn ow", + "ĠA ction", + "Ġp overty", + "c ons", + "Ġr ates", + "ĠKn ow", + "ĠCl are", + "ur ers", + "Ġcomm it", + "ĠPr incip", + "Ġnomin ations", + "Ġr u", + "Ġthous ands", + "Ġst ret", + "ĠAnt i", + "Ġrepl acing", + "ĠK un", + "c ard", + "ĠSh a", + "rib ed", + "is ition", + "ĠB ron", + "Ġopin ion", + "ĠManh attan", + "Ġappear ing", + "Ġexped ition", + "Ġl iqu", + "ĠN ature", + "Ġpl ane", + "ĠS oul", + "Ġchap ter", + "claim ed", + "Ġquest ions", + "i ary", + "ĠS ultan", + "198 6", + "ij ing", + "w ig", + "ĠHis pan", + "ĠArt illery", + "Ġmov ements", + "ĠB ert", + "Ġenc ounter", + "cast le", + "Ġev olution", + "Ġextrem ely", + "Ġj ourney", + "Ġm ental", + "ĠTr inity", + "ĠFre edom", + "ĠH em", + "Ġsur re", + "Ġso il", + "Ġm ac", + "i ors", + "f ish", + "ar is", + "Ġlim it", + "b oy", + "Ġmon arch", + "Ġportray ed", + "Ġind igenous", + "ĠY am", + "Ġrel ative", + "p ent", + "u is", + "Ġadd ing", + "Ġemer gency", + "ĠCroat ian", + "ĠP age", + "ĠMod el", + "ĠDi ocese", + "ele cted", + "Ġl ov", + "f eld", + "Ġindic ate", + "ĠCont rol", + "Ġs ax", + "Ġtem porary", + "press ion", + "ĠTra il", + "Ġwood en", + "Ġnot e", + "ĠIs a", + "al is", + "ĠPl ant", + "le ment", + "Ġpl ate", + "in os", + "Ġwe ak", + "ach t", + "ĠKir k", + "Ġcap able", + "ĠBar cel", + "Ġstr ategy", + "in ces", + "198 5", + "ĠF alls", + "Ġme ets", + "Ġterrit ories", + "ĠSh ang", + "kee per", + "Ġ186 4", + "Ġtechn ique", + "ĠEduc ational", + "ĠMar s", + "Ġsu icide", + "Ġphot ography", + "Ġoffer ing", + "ĠY u", + "ĠAd ela", + "Ġw or", + "Ġ188 6", + "ĠF eat", + "ĠHarris on", + "b ut", + "ĠPo et", + "ĠB ranch", + "oph one", + "Ġh ip", + "ist ani", + "Ġsubs idi", + "Ġdef ence", + "ĠK o", + "Ġag o", + "us c", + "ĠP ay", + "ĠTerrit ory", + "Ġam ateur", + "Ġmount ains", + "he red", + "m aker", + "uss ian", + "ĠRe f", + "Ġvol umes", + "Ġloss es", + "Ġking dom", + "Ġel der", + "Ġsusp ended", + "Ġv ision", + "ĠSh ip", + "ĠCh ron", + "ĠD raw", + "er k", + "ĠM L", + "ĠZ one", + "h ost", + "Ġactiv ists", + "Ġhor ror", + "ĠSocial ist", + "ro v", + "im ir", + "Ġrough ly", + "Ġo ption", + "ĠArmen ian", + "ĠEle ction", + "Ġl ap", + "E D", + "c are", + "ĠL ost", + "Ġc ards", + "ĠCost a", + "m ate", + "ĠColl ins", + "ĠGl en", + "Ġpo ems", + "cel and", + "Ġassoci ate", + "ĠT ib", + "ĠC BS", + "Ġbound ary", + "en berg", + "st ery", + "St ar", + "ĠL ag", + "Ġal coh", + "Ġcompet ing", + "ir ation", + "Ġpropos al", + "Ġden ied", + "ĠL is", + "ge on", + "Ġe yes", + "Ġrel ief", + "ĠPriv ate", + "ĠEd ition", + "Ġ186 1", + "ĠPhoen ix", + "ĠT as", + "inn ati", + "ĠVin cent", + "ĠF isher", + "ab a", + "197 0", + "udd en", + "aj a", + "ra ck", + "ĠS outheast", + "198 4", + "Ġc atch", + "ĠTurn er", + "ĠR ank", + "u art", + "Ġ6 6", + "ĠGian ts", + "ew ork", + "ag g", + "Ġappe al", + "ĠC A", + "uck land", + "Ġcompon ents", + "ĠB aptist", + "ist ical", + "Ġrec re", + "ĠE U", + "ĠFilm ography", + "ĠCub a", + "ic on", + "ĠC ities", + "ĠUnivers al", + "Ġev al", + "ĠEs s", + "Ġfind ing", + "Ġ18 50", + "Ġ186 3", + "ĠB ible", + "ĠM A", + "ud es", + "ĠC ond", + "ac re", + "Ġcred it", + "ĠAzerbai jan", + "Ġim ag", + "ĠArchite cture", + "Ġf oss", + "Ġh ang", + "ĠS ah", + "ĠSp irit", + "Ġf ruit", + "Ġper cussion", + "Ġf al", + "te enth", + "ĠF ell", + "g ate", + "Ġpl us", + "Ġbran ches", + "Ġmess age", + "Ġexper iences", + "Ġthreat ened", + "ĠOriginal ly", + "Ġceleb rated", + "Ġass ign", + "ĠH ouses", + "Ġent ering", + "com mun", + "ĠF if", + "Ġexpl ained", + "ĠCommission er", + "ĠAnt ar", + "Ġentertain ment", + "ĠFl ight", + "ĠR at", + "ĠP ow", + "ĠSym phony", + "ĠIndust rial", + "Ġe ighth", + "Ġinvol vement", + "ĠPopul ation", + "at ar", + "ett a", + "Ġdou bles", + "an ne", + "ĠN E", + "Ġc m", + "ĠComp uter", + "Ġdem olished", + "ĠOver all", + "ĠPun jab", + "Ġdecl ined", + "Ġlic ense", + "Ġun f", + "Ġf ishing", + "l ater", + "m el", + "ĠS ite", + "Ġjur isd", + "ĠProf ile", + "Ġm oth", + "Ġdeb ate", + "Ġthe at", + "ĠRet urn", + "m od", + "Ġint ent", + "Ġswim ming", + "ĠAn cient", + "Ġhelp ing", + "Ġsp r", + "Ġaccount s", + "Ġ186 2", + "f ielder", + "ier ra", + "ĠS ad", + "Ġcous in", + "Ġconserv ation", + "ĠArt ist", + "ry pt", + "Ġg ather", + "Ġachie ve", + "b ane", + "il arly", + "ĠCra ig", + "os ph", + "Ġsup posed", + "us ing", + "ĠN BC", + "C on", + "ĠHer bert", + "Ġre nd", + "ty pe", + "Ġcontrovers y", + "Ġ188 4", + "ig o", + "ĠCommun ications", + "Ġra ise", + "ĠJer ry", + "Ġd ress", + "v ision", + "Ġst ring", + "ĠB ass", + "ĠG rey", + "Ġm ob", + "ot ton", + "Ġform ing", + "ĠCinc innati", + "is in", + "Ġinflu ential", + "ĠBarcel ona", + "st ers", + "D F", + "Ġcal cul", + "Ġex cell", + "ĠAl ong", + "Ġw arm", + "Ġstud ying", + "ĠJ oy", + "h ill", + "Ġmiss ions", + "Ġs olution", + "Ġf illed", + "ster dam", + "od ge", + "Ġprom pt", + "s a", + "ĠAdela ide", + "Ġaff ect", + "ĠH amb", + "w here", + "iss ue", + "re pre", + "ĠB ath", + "as p", + "Ġb en", + "Ġind icated", + "Ġ5 9", + "oy al", + "je ction", + "ĠL ions", + "Ġv ar", + "ĠA uckland", + "Ġlaw yers", + "hol m", + "ĠTh or", + "Ġrequ ires", + "M I", + "ĠC old", + "ĠH erman", + "ĠC ou", + "repre ne", + "198 3", + "ĠMun ich", + "Ġdra g", + "ĠSt art", + "ĠL P", + "ĠA viation", + "verse as", + "Ġarchitect ural", + ". :", + "A ll", + "ĠD og", + "hel m", + "ĠC S", + "g un", + "ĠH ugh", + "ag ar", + "Ġspirit ual", + "ĠShe l", + "ĠJ a", + "Ġcr ash", + "ĠC ob", + "Ġinj uries", + "Ġw restling", + "Ġparticip ation", + "Ġper haps", + "ĠWinn ers", + "ĠCan al", + "en cer", + "am pton", + "Ġor ient", + "Ġj ournals", + "ar ks", + "id o", + "ĠCroat ia", + "e or", + "ĠS z", + "ĠG oth", + "Ġprofess ion", + "ign ated", + "Ġsec ure", + "let t", + "ĠMag n", + "Ġvot ing", + "re hens", + "x i", + "ĠHe avy", + "ar at", + "and al", + "Ġ188 1", + "Ġp itch", + "m o", + "ĠD raft", + "ĠG round", + "ĠK ur", + "Ġd owntown", + "oc ation", + "ament al", + "Ġvess el", + "? \"", + "Ġcam era", + "ĠAngl ican", + "Ġrank ing", + "Ġinst ance", + "ĠCl ay", + "Ġ7 2", + "ĠB es", + "Ġcr imes", + "Ġsurround ed", + "Ġfr ame", + "Ġman ner", + "Ġc rop", + "Ġsh ut", + "ĠCr ime", + "ĠEx pl", + "Ġappro val", + "ĠBroadcast ing", + "ah o", + "ĠH av", + "Ġland scape", + "rib ute", + "ames e", + "ĠC ad", + "ot yp", + "Ġexist ed", + "Ġmark ets", + "Ġ6 7", + "ĠGon z", + "Ġperson ality", + "M L", + "ĠR ing", + "Ġbatt les", + "ĠS che", + "Ġ rif", + "ĠConserv ation", + "ah a", + "ĠH ann", + "Ġdep th", + "Ġele ven", + "e ed", + "ĠBe ijing", + "y t", + "Ġrepresent ation", + "inent al", + "ig ible", + "d est", + "Ġper fect", + "Ġse gment", + "Ġprot ests", + "ĠLl oyd", + "Ġsold ier", + "ĠY ang", + "Ġcor rect", + "r ub", + "ĠS ig", + "ĠS now", + "so ft", + "Ġm ir", + "ĠI celand", + "ĠB our", + "Ġann ually", + "Ġt ribut", + "f ly", + "Ġcomplet ion", + "at ically", + "Ġdon ated", + "ĠPer formance", + "ĠSystem s", + "ĠM asters", + "ĠArch ae", + "ont in", + "Ġl ob", + "Ġv ic", + "ĠTer ry", + "ab ilities", + "om on", + "Ġout put", + "Ġser ial", + "ĠB ris", + "ĠMont ana", + "ellect ual", + "ĠF inals", + "Ġex ternal", + "Ġthem es", + "Ġd ub", + "ĠBe h", + "born e", + "Ġnet works", + "Ġth in", + "Ġ8 5", + "Ġsk in", + "ia ble", + "ĠKe ith", + "Ġrepresent atives", + "ĠP el", + "p ine", + "ĠP ack", + "Ġmod ified", + "ĠY ale", + "Ġinf antry", + "p read", + "ĠArab ic", + "Ġcab inet", + "Ġf ear", + "Ġc ool", + "ĠB att", + "ul i", + "Ġsurv iving", + "iss ions", + "ĠIndust ry", + "ĠG ay", + "ĠF am", + "Ġconc rete", + "ĠP ont", + "if ican", + "iz ations", + "Ġpubl isher", + "Ġw ides", + "Ġb on", + "ĠWith in", + "ĠV I", + "ĠPol icy", + "ine e", + "Ġequip ped", + "Ġvis itors", + "ic ial", + "N S", + "ĠTy pe", + "ĠSh aw", + "ĠSte vens", + "iv ation", + "Ġhon ors", + "O M", + "197 9", + "ĠLar ry", + "Ġre act", + "oun ced", + "ĠThe od", + "amp a", + "E P", + "ĠMer c", + "Ġcirc uit", + "ĠC atherine", + "Ġn av", + "ĠEth iop", + "Ġlast ed", + "ĠM ig", + "ifican ce", + "Ġstrong ly", + "Ġgen re", + "ĠBulg arian", + "h um", + "ĠA ber", + "Ġyoung est", + "Ġre un", + "ĠG olf", + "Ġto ols", + "s is", + "Ġ188 2", + "Ġincreasing ly", + "ĠW es", + "ĠVenezuel a", + "ĠSe b", + "Ġdra f", + "ĠH ad", + "Ġd ream", + "ĠB uch", + "Ġk g", + "m ath", + "il ty", + "Ġcon gress", + "ĠRepresent ative", + "Ġtrib e", + "ĠInd ividual", + "Ġcolle ct", + "p p", + "ĠM ason", + "ĠForm ula", + "Ġd iam", + "ĠHen ri", + "Ġcent ers", + "Ġmart ial", + "Ġhapp ened", + "Ġsh ares", + "Ġille gal", + "Ġrep utation", + "ĠF uture", + "% ,", + "ĠG w", + "Ġadop t", + "ĠVeg as", + "Ġext ens", + "Ġrow span", + "Ġtransport ation", + "Ġabs or", + "ich i", + "Ġplatform s", + "ĠStat istics", + "ĠHud son", + "Ġpred e", + "Ġ9 5", + "ĠS A", + "Ġre pro", + "a uc", + "enn ial", + "ocrat ic", + "Ġvis iting", + "Ġs oul", + "ol in", + "Ġn one", + "ug s", + "i u", + "Ġpan el", + "ĠS alt", + "ĠAm sterdam", + "Ġb es", + "c alled", + "ĠP aint", + "bu ild", + "ĠS ask", + "ĠGo ogle", + "Ġne ut", + "cer ts", + "ro t", + "ĠLeg acy", + "us k", + "ag re", + "ĠEnvironment al", + "ke ley", + "oc al", + "Ġpr on", + "Ġmin imum", + "ĠB rew", + "Ġinn ings", + "Ġw ine", + "Ġhtt ps", + "t ical", + "oun sel", + "Ġplay offs", + "Ġdecl ine", + "ĠBulg aria", + "ĠBr un", + "ick ets", + "ĠG ust", + "ĠUn like", + "Ġs we", + "Ġatt orney", + "grad uate", + "ĠAtt orney", + "ĠSte ven", + "Ġa cted", + "ĠOr ig", + "ent e", + "Ġt ests", + "ĠMar vel", + "ĠNor folk", + "Ġdist inguished", + "b ound", + "Ġbelong ing", + "c z", + "ĠOper ations", + "Ġd ig", + "Ġpre gn", + "ac le", + "\" ;", + "ĠL an", + "osp itals", + "ĠB og", + "Ġsat isf", + "ash a", + "Ġcont ested", + "Ġcan n", + "Ġsurg ery", + "Ġt as", + "m ates", + "ĠBel arus", + "Ġsettle ments", + "ph al", + "d d", + "Ġbe ar", + "ĠM ix", + "od s", + "iz er", + "ing en", + "ĠM ann", + "ĠVerm ont", + "ĠT erm", + "Ġro ut", + "Ġatt ributed", + "se cts", + "Ġpreserv ed", + "el i", + "Ġto w", + "b us", + "w inning", + "Ġpost ed", + "ĠM az", + "or o", + "ig rated", + "Ġsc ope", + "Ġstat ue", + "Ġem igrants", + "ĠC ann", + "Ġsub t", + "Ġagric ulture", + "ast s", + "ĠTreat y", + "! \"", + "Ġan ch", + "ĠHar old", + "Ġelev ation", + "ĠN umber", + "Ġmerch ant", + "L P", + "ĠCamp aign", + "Ġmain tenance", + "Ġd rew", + "Ġbene fit", + "Don ald", + "itar ian", + "Ġcancell ed", + "Ġphil os", + "Ġrul ing", + "ĠD iamond", + "en os", + "ĠH orse", + "L a", + "ĠG ot", + "it is", + "ĠCur t", + "Ġcontin uing", + "Ġg olf", + "Ġag ents", + "ĠLu x", + "b rid", + "ĠRob in", + "ograp hers", + "Ġf ix", + "Ġdom ain", + "Ġbe ach", + "ĠL ie", + "198 2", + "z es", + "Ġcou ples", + "Ġdis pl", + "Ġsee k", + "Ġsub d", + "ĠS P", + "ĠC P", + "Ġhon our", + "Ġthir ty", + "Ġsched ule", + "ang erous", + "Ġc inema", + "Ġspok en", + "iction ary", + "ĠH ob", + "Ġinc idents", + "at che", + "Ġ6 8", + "B B", + "Ġkey boards", + "Ġex pect", + "Ġven ue", + "Ġf ighter", + "Ġrecomm ended", + "ĠSh in", + "b es", + "Ġdraw ing", + "' ve", + "Ġpopul ations", + "ĠD ays", + "Ġval id", + "ĠB right", + "ĠP ic", + "ul ations", + "ĠN S", + "ĠDeath s", + "Ġconsider able", + "Ġ1 000", + "Ġtre ated", + "ij i", + "ĠBy z", + "Ġmeet ings", + "Ġrele ases", + "t r", + "Ġparticip ants", + "Ġspe ak", + "ĠAn im", + "f ire", + "ra v", + "ĠBuddh ist", + "ĠDel aware", + "ĠDen ver", + "end ar", + "Ġform ations", + "A s", + "ub le", + "o j", + "Ġmod e", + "ĠSpr ings", + "Ġunder ground", + "Ġ187 6", + "ĠCommun es", + "ĠMan uel", + "ĠBos nia", + "Ġlong est", + "ĠB uc", + "Ġcoach ing", + "ĠM S", + "ĠManag er", + "ĠKen ya", + "Ġp ric", + "ro ck", + "Ġ188 3", + "Ġat mosp", + "Ġwides pread", + "Ġ25 0", + "ops is", + "arc hers", + "Ġan ime", + "Ġsat ellite", + "Ġsomew hat", + "ĠHel en", + "ch ild", + "ĠEn cyclop", + "Ġplan et", + "c at", + "ĠDrag on", + "D C", + "Ġfrequ ency", + "ĠF un", + "Ġchang ing", + "ĠN HL", + "Ġcharacter istics", + "Ġbir d", + "Ġfl ed", + "M ay", + "ĠIn v", + "Ġsu fficient", + "ĠErn est", + "ĠSy ria", + "ke ep", + "Ġres olution", + "Ġsh ore", + "Ġfest ivals", + "ĠBob by", + "Ġchap el", + "ĠP oll", + "Ġrelationship s", + "198 1", + "am ics", + "ĠT on", + "id en", + "Ġmod er", + "ĠCo al", + "Ġten ure", + "Ġpremi ere", + "ĠS ak", + "Ġgro wn", + "st own", + "Ġoccas ionally", + "Ġearth qu", + "Ġbo ats", + "g el", + "ĠM end", + "Ġf urn", + "ĠEd wards", + "Ġbl ocks", + "Ġg ay", + "ĠAt hens", + "ĠIndones ian", + "ult ane", + "Ġrese archers", + "Ġph one", + "ac o", + "Ġar c", + "Ġdepart ure", + "Ġreported ly", + "Ġex pos", + "onym ous", + "ĠPer ry", + "ĠRog ers", + "Ġill ness", + "b in", + "Ġjob s", + "ĠWar ri", + "ĠFrid ay", + "Ġac know", + "gi ate", + "Ġf ile", + "Ġany thing", + "Ġ187 8", + "Ġch amber", + "ust ed", + "Ġsaf e", + "ter ior", + "ia st", + "Ġinaug ural", + "Ġsp oke", + "ĠAd vis", + "ĠHol land", + "Ġhigh light", + "Ġgovern ments", + ". '", + "Ġpat rol", + "b ow", + "ĠS or", + "Ġindic ates", + "Ġab road", + "ĠL ion", + "ĠMah ar", + "Ġprin ted", + "C an", + "h igh", + "b ird", + "ĠTe ch", + "ĠHispan ic", + "ĠH ope", + "ĠT oy", + "Ġviol in", + "ur ring", + "ĠD ennis", + "Ġremain der", + "Ġcontrovers ial", + "ĠI C", + "ĠNiger ian", + "ĠEconom y", + "ĠClin ton", + "ĠG ang", + "ĠS ay", + "Ġinters ection", + "ĠK rist", + "ĠN y", + "ancell or", + "op es", + "ĠPed ro", + "Ġsur f", + "ĠPers ian", + "duc er", + "Ġt act", + "Ġtem por", + "Ġh a", + "Ġere cted", + "Ġwh ilst", + "ip er", + "ĠN an", + "Ġbu y", + "ĠAbb ey", + "Ġab use", + "ĠJeff erson", + "b ody", + "l iga", + "p ol", + "Ġw orship", + "ĠAng lo", + "Ġemploy ment", + "Ġph r", + "Ġh orses", + "Ġh uge", + "or p", + "ĠCirc uit", + "ĠW alt", + "o ons", + "Ġeffect ively", + "Ġoper ational", + "Ġattra cted", + "ĠK ay", + "ach i", + "ĠSw im", + "ĠBris bane", + "Ġs leep", + "ĠS ource", + "Ġt ell", + "ĠSt uart", + "ĠShort ly", + "Ġvis ible", + "Ġstand ings", + "ryst al", + "ĠHe in", + "ĠK ab", + "Ġ7 8", + "ĠRal ph", + "ĠR if", + "B M", + "] ,", + "Ġdu o", + "ew here", + "Ġrem ember", + "Ġ187 9", + "Ġsh ift", + "m usic", + "ĠG et", + "ĠPak istani", + "ĠO il", + "et ers", + "Ġdiscover y", + "Ġprede cess", + "por ter", + "Ġtravel ed", + "Ġw rong", + "ĠFin ance", + "al am", + "Ġprocess ing", + "ĠCh air", + "l ington", + "ition al", + "g om", + "Ġthous and", + "ĠS et", + "oc c", + "ĠMuslim s", + "Ġmuseum s", + "ra ham", + "ĠP att", + "au ge", + "Ġscient ist", + "Ġinstrument al", + "ur rent", + "ach ment", + "197 8", + "h l", + "Ġcom ics", + "Ġte ach", + "Ġsp aces", + "b acks", + "Ġst ress", + "Ġcont ribution", + "Ġunderst and", + "ing ly", + "Ġrest oration", + "ĠStan ford", + "Ġclaim ing", + "Ġannoun ce", + "Ġrecover ed", + "ĠFin ancial", + "ĠMag ic", + "ĠGra ce", + "Ġdef ending", + "Ġevery thing", + "Ġtrad ing", + "Ġmid field", + "E T", + "n ed", + "Ġresc ue", + "W A", + "Ġ urg", + "ĠW u", + "Ġreg ime", + "Ġn urs", + "Ġrel ocated", + "197 7", + "if ted", + "ĠTh ir", + "Ġsent ence", + "ĠPr inc", + "197 5", + "Ġbroadcast ing", + "G erman", + "k ar", + "elf are", + "Ġoccas ions", + "ip per", + "u its", + "ĠCl imate", + "Ġhe aring", + "ĠIn stead", + "Ġte xts", + "Ġ187 5", + "ĠL ock", + "ĠEag les", + "ĠAir lines", + "Ġunder t", + "ann i", + "Ġcas ual", + "ĠD ata", + "Ġemer ged", + "Ġa u", + "ur st", + "Ġsup ports", + "ĠAd v", + "Ġr ub", + "ĠT ogether", + "ĠJ ar", + "Ġfriend ly", + "f amily", + "m ina", + "ĠS oon", + "ĠBer keley", + "ĠPeters burg", + "Ġtrib es", + "port ed", + "ĠPen insula", + "Ġre pr", + "ot he", + "Ġabs ence", + "ail ing", + "ĠUr ugu", + "Ġwhere as", + "Ġmarket ing", + "ĠMad ison", + "ol ition", + "Ġexperiment al", + "ĠDemocrat s", + "as ia", + "Ġb id", + "Ġin ner", + "Ġcommand ed", + "Ġdiam eter", + "Ġsumm ary", + "ĠG ate", + "ĠTh ai", + "Ġaim ed", + "ĠPolit icians", + "ĠEpis ode", + "Ġcompet itive", + "Ġlicens ed", + "Ġvers us", + "Ġbeh alf", + "ĠP od", + "ĠC ert", + "ĠI T", + "Ġmiss ed", + "Ġ7 4", + "ĠG overn", + "ĠO sc", + "Ġ187 7", + "o an", + "Ġoppon ents", + "Ġ7 7", + "ro se", + "id al", + "H A", + "app y", + "ĠB av", + "ed a", + "ĠS ang", + "ic us", + "ĠR ight", + "c aster", + "Ġle af", + "Ġcricket er", + "un es", + "Ġmix ing", + "Ġaffili ated", + "ĠOtt awa", + "Ġqual ify", + "che st", + "ĠI b", + "Ġtourn aments", + "Ġcol ony", + "ĠSched ule", + "Ġ187 1", + "rag ue", + "ag s", + "ĠD est", + "qu arter", + "over y", + "Ġsupport ers", + "Ġdefend ers", + "ag i", + "Ġphys ician", + "ĠLe eds", + "Ġrebu ilt", + "197 4", + "ah l", + "ĠN ear", + "Ġcre ative", + "s pec", + "Ġdrug s", + "ul um", + "ĠBut ler", + "Ġsuppl ies", + "B e", + "Ġkn ew", + "Ġpro port", + "re ck", + "gor ith", + "Ġbe et", + "Ġb acter", + "ĠP ul", + "N T", + "ĠV e", + "Ġs end", + "former ly", + "Ġmon itor", + "ĠC ant", + "ĠCh a", + "um i", + "Ġpred omin", + "as m", + "ĠH ond", + "ĠVi ew", + "ĠK in", + "Ġmass ive", + "Ġcred its", + "Ġt orn", + "Ġ186 7", + "ath on", + "Ġed itions", + "Ġperiod s", + "o ard", + "Ġgall ery", + "Ġwrit es", + "ĠS oph", + "Ġb ridges", + "Ġm ines", + "ĠArch bishop", + "Ġgrand father", + "ne e", + "cl osed", + "ĠChe ster", + "ĠB ald", + "n an", + "Ġdep ending", + "Ġcat alog", + "ĠP ut", + "ĠDe ep", + "Ġse es", + "Ġrat io", + "ĠProdu ctions", + "ĠGerman s", + "medi ate", + "Ġf il", + "up s", + "Ġsw itch", + "Ġv e", + "Ġp seud", + "Ġ187 2", + "anth rop", + "ĠMal ay", + "c ut", + "Ġcharacter ized", + "ig s", + "eral a", + "Ġimmedi ate", + "Ġsuffer ing", + "k an", + "el ia", + "th lete", + "Ġ1 10", + "if ies", + "ĠNe xt", + "Ġf ur", + "Ġ187 4", + "f oot", + "it ure", + "Ġs udden", + "ĠC row", + "ĠAl tern", + "Ġsil ent", + "Ġfac ing", + "ĠEx change", + "ĠMov ie", + "197 6", + "Ġdescrib e", + "ĠMur phy", + "os hi", + "il is", + "Ġtra il", + "Ġconcern ed", + "Ġdis band", + "ix on", + "Ġafter wards", + "ff bb", + "B O", + "ĠS uz", + "Ġturn ing", + "196 0", + "ĠS ierra", + "Ġtrans mission", + "ĠNe il", + "if fer", + "u ador", + "Ġdet ailed", + "ĠFlore nce", + "Ġc ul", + "ro ve", + "Ġcateg ories", + "hem atic", + "ĠChristian ity", + "s or", + "au kee", + "ĠN R", + "or ous", + "Ġorgan isations", + "ĠNew castle", + "Ġarrang ement", + "Ġn inth", + "Ġhundred s", + "c f", + "Ġadvert ising", + "is ch", + "ĠWell ington", + "Ġh olid", + "ĠO cc", + "Ġconcent ration", + "ĠComm ons", + "Ġlegisl ative", + "u able", + "Ġpublic ly", + "Ġran ks", + "our se", + "qu ir", + "Ġpr inc", + "Ġ186 8", + "Ġrapid ly", + "Ġcon certs", + "unc redited", + "er ted", + "ow ed", + "Ġex ists", + "t rans", + "Ġpercent age", + "Ġ7 3", + "az e", + "ric ted", + "Ġ8 8", + "on ies", + "ĠC arn", + "ĠR af", + "ĠChrist ians", + "the less", + "ĠS ox", + "ĠM ath", + "W h", + "Ġcomment ed", + "M y", + "ĠPar ks", + "re leased", + ".. ..", + "ele ct", + "ĠM ol", + "Ġview ers", + "ĠSus an", + "enc ing", + "ĠEd die", + "ĠLe o", + "ĠHamb urg", + "Ġst yles", + "ĠAb u", + "Ġrecomm end", + "Ġad ults", + "Ġsign ificance", + "Ġcon st", + "min ute", + "194 5", + "Ġw at", + "Ġsign s", + "ew ay", + "ĠFriend s", + "Ġth ing", + "ĠGil bert", + "ĠUnt il", + "ĠInd ependence", + "Ġcon vention", + "ĠN A", + "ia o", + "Ġd ual", + "ĠHeb rew", + "Ġsp ending", + "ring ton", + "Ġ8 2", + "Ġins urance", + "ĠSecond ary", + "Ġunus ual", + "p any", + "Ġencoura ged", + "yl er", + "ĠRay mond", + "Ġw ants", + "onom ous", + "ĠWil helm", + "I L", + "ber ry", + "ff ield", + "Ġgrad ually", + "Ġ7 1", + "Ġident ify", + "ĠSer ie", + "ĠAgric ulture", + "Ġatt ending", + "Ġexc av", + "Ġ186 6", + "ĠWrit ing", + "ĠN ott", + "Ġbeg un", + "Ġ6 9", + "Ġf antasy", + "Ġwithd rew", + "Ġgreat ly", + "ĠJ in", + "Ġfac ilit", + "Ġl ibr", + "Ġle agues", + "Ġw el", + "Ġopportun ities", + "ĠN athan", + "ent i", + "em ed", + "ab el", + "ic he", + "O n", + "Ġsee king", + "ro id", + "at ra", + "ath y", + "ĠK erala", + "ran o", + "Ġdefin ition", + "p in", + "Ġapart ment", + "Ġvot ers", + "Ġelect ron", + "ĠCru z", + "Ġpar ks", + "Ġw ard", + "ĠEv ents", + "Ġhel ic", + "Ġ9 9", + "ĠRev ival", + "Ġrhy thm", + "Ġpal ace", + "ĠRel ations", + "it ual", + "ĠC elt", + "Ġpat ient", + "Ġbenef its", + "Ġ18 40", + "ĠSom ers", + "ĠScient ific", + "av i", + "ĠT ennis", + "ĠTun is", + "Ġh al", + "if inals", + "Ġpar am", + "Ġdisestabl ishments", + "Ġ6 00", + "Ġg ymn", + "ri en", + "ĠD in", + "cc a", + "ĠPh D", + "197 2", + "ris on", + "Ġorgan ised", + "Ġg one", + "Ġcorpor ate", + "Ġmake up", + "h n", + "iven ess", + "ir k", + "l ik", + "Ġsculpt ure", + "ĠArn old", + "ĠDoc ument", + "ĠSt ef", + "Ġres emb", + "ĠR ah", + "ĠCong o", + "Ġ187 3", + "ĠL akes", + "ot ion", + "Ġcompon ent", + "197 3", + "Ġweap on", + "St ation", + "C ol", + "Ġfor wards", + "ĠLu ke", + "ab e", + "Ġ9 6", + "Ġrep air", + "ĠK le", + "Ġde struction", + "oss ible", + "Ġb iography", + "m aking", + "ĠL ear", + "Ġo cean", + "v et", + "Ġmat hematics", + "Ġcoal ition", + "ĠWars aw", + ". ),", + "w aukee", + "Ġass ets", + "Ġevery one", + "Ġp y", + "Ġcl an", + "Ġinteg rated", + "Ġamong st", + "c ase", + "Ġcivil ian", + "r ates", + "ĠM uch", + "Ġac oustic", + "Ġgu ilty", + "g ame", + "ĠA ctor", + "Ġsp in", + "Ġphotograph s", + "ĠFem ale", + "P l", + "ĠLeban on", + "ĠKaz akh", + "Ġposs ession", + "P R", + "Ġview ed", + "Ġce ased", + "ag ement", + "Ġc able", + "Ġnob le", + "Ġex ception", + "Ġpro hib", + "ĠLeon ard", + "Ġw et", + "Ġst able", + "l ift", + "isc opal", + "k w", + "Ġcl ar", + "over e", + "Th is", + "Ġbelong ed", + "arri er", + "Ġrun ners", + "u ber", + "ov an", + "rat ors", + "Ġpat ron", + "ĠM ut", + "ĠPaul o", + "arg ed", + "Ġsubsidi ary", + "Ġhonor ary", + "Ġra c", + "rehens ive", + "Ġh at", + "Ġfrequ ent", + "ch ing", + "Ġcon j", + "Ġpart ially", + "ĠEc uador", + "ub a", + "ĠA chie", + "Ġsw it", + "ĠT ed", + "ĠFried rich", + "ĠT ong", + "Ġb orders", + "ĠM ik", + "ĠReg ular", + "Ġleg s", + "Ġfarm ers", + "Ġsub stitute", + "ĠEconom ics", + "Ġe asy", + "as ant", + "ĠS uch", + "Ġext ent", + "ĠC ork", + "ĠAr c", + "ĠBaron et", + "form ing", + "Ġp ul", + "Ġb orough", + "ĠM ust", + "r s", + "ĠN ak", + "ĠD ol", + "and om", + "od ed", + "ap se", + "ĠConfeder ate", + "an ced", + "ĠE sc", + "ĠAnn ual", + "ĠTax onomy", + "Ġearn ing", + "Ġcustom ers", + "Ġuse ful", + "min ster", + "ĠF ig", + "Ġmov ies", + "Ġtrad ed", + "ĠH aving", + "Ġg ate", + "Ġinc umbent", + "Ġev ac", + "ĠSe an", + "Ġk it", + "r us", + "ĠLat ino", + "ĠFell ows", + "Ġphys ics", + "ĠArt icle", + "ĠGh ost", + "ĠAll ied", + "Ġimplement ed", + "Ġ ),", + "ĠH ale", + "Ġplay wright", + "Ġsust ain", + "Ġphen omen", + "ĠR idge", + "Ġmarg in", + "b en", + "i ago", + "Ġtr uth", + "ok ie", + "ĠBr uns", + "Ġdeploy ed", + "Ġterm inal", + "Ġrel ation", + "Ġpe oples", + "Ġelect rical", + "Ġw edding", + "Ġon going", + "Ġsim ultane", + "it ars", + "ĠDomin ican", + "Ġsurv iv", + "ĠS ic", + "Ġmurder ed", + "B E", + "i ology", + "ĠProte ction", + "h our", + "iv ic", + "Ġto mb", + "Ġprov inces", + "ĠChap el", + "ĠL ig", + "ĠTeam s", + "Ġv olleyball", + "ĠWat son", + "ĠK id", + "E l", + "str ong", + "ĠB ent", + "Ġpick ed", + "ram s", + "ĠProv incial", + "Ġsec ured", + "Ġdismiss ed", + "Ġconserv ative", + "Ġ8 1", + "Ġsong writer", + "Ġoccas ion", + "Ġspons ored", + "ov ich", + "art a", + "ĠG az", + "ĠSy rian", + "ect or", + "Ġt ort", + "Ġc emetery", + "ĠPr ison", + "Ġapparent ly", + "Ġto ured", + "ort on", + "Ġport rait", + "ven ge", + "ĠProtest ant", + "ĠM ul", + "er i", + "ĠN C", + "ĠMusic ians", + "ull ivan", + "ĠIm m", + "ĠB ond", + "ĠPhill ips", + "Ġel dest", + "ĠJ ur", + "r n", + "h aus", + "ĠInit ially", + "ĠVen ice", + "ĠLe ader", + "Ġstrugg le", + "Ġm atters", + "ul us", + "a a", + "ĠMo z", + "ry s", + "ĠAddition al", + "ĠSing le", + "ĠS ony", + "Ġweek end", + "J an", + "al g", + "ĠCo ach", + "Ġprincip les", + "ĠStud ents", + "Ġcomplet ing", + "Ġb attalion", + "Ġjun ction", + "ĠL amb", + "o ffic", + "ĠR ange", + "ĠGuard ian", + "Ġsubstant ial", + "ĠForm ation", + "Ġbe autiful", + "te am", + "Ġdr ummer", + "Ġas c", + "ĠS yl", + "ĠHar vey", + "ĠStud ent", + "Ġmin eral", + "ac a", + "ĠWall ace", + "ov sky", + "Ġtre nd", + "Ġengine ers", + "ap ped", + "Ġc argo", + "d al", + "iss a", + "ĠE C", + "Ġdraf ted", + "Ġoper ator", + "ĠLeg end", + "Ġp ure", + "Ġiniti ative", + "ĠO g", + "Ġsym pt", + "ins ky", + "ĠCom mercial", + "u ations", + "Ġh ope", + "Ġg rey", + "Ġread y", + "und a", + "ĠInt elligence", + "er as", + "if ier", + "ĠCard inals", + "Ġdiscuss ed", + "ĠW ells", + "ĠD rama", + "ĠFilip ino", + "Ġphot o", + "ff ee", + "196 8", + "reprene ur", + "Ġalcoh ol", + "Ġmanufact urer", + "Ġim perial", + "ĠK ash", + "Ġcho ose", + "Ġmount ed", + "ĠSud an", + "Ġtra p", + "w ald", + "Ġs essions", + "Ġb io", + "Ġ9 7", + "em a", + "ĠB ach", + "Ġgu ide", + "Ġb ishops", + "ae us", + "om ic", + "Ġcl othing", + "Ġmov es", + "Ġexpl o", + "Ġm o", + "ĠTom my", + "Ġacc ord", + "ĠRoc he", + "O ct", + "ĠF ighter", + "Ġex cess", + "Ġ186 9", + "ĠSh ir", + "Ġren ov", + "E d", + "ĠOut standing", + "ĠB eth", + "Ġc ash", + "ol en", + "3 00", + "hemat ical", + "Ġy ield", + "vious ly", + "Ġ8 00", + "ĠHug hes", + "ĠC red", + "Ġtal ent", + "f urt", + "ĠJ ak", + "Ġreve als", + "Ġcon stitution", + "Ġb anned", + "Ġfund ed", + "197 1", + "ĠS ul", + "Ġpass age", + "Ġrespond ed", + "ĠP os", + "ĠL or", + "s uch", + "ĠCon st", + "Ġtri als", + "ĠNash ville", + "u j", + "Ġcommun ications", + "Ġenjoy ed", + "ĠDiv isin", + "Ġind ex", + "ĠHe at", + "Ġestablish ing", + "M arch", + "im o", + "eral ly", + "ro ke", + "Ġvac c", + "Ġdisplay ed", + "ĠK il", + "og an", + "ĠTre as", + "Ġdeb t", + "am er", + "ĠTas man", + "ĠShang hai", + "Ġplay off", + "I R", + "Ġdisc ontin", + "ĠC ov", + "Ġvarian t", + "ĠNe igh", + "Ġfun eral", + "ript ions", + "au er", + "ĠCh an", + "n ew", + "Ġres ort", + "Ġpart ly", + "Ġre venue", + "ĠCompet ition", + "p m", + "Ġp ale", + "ĠM old", + "gom ery", + "ĠColumb us", + "ĠRh ode", + "z ig", + "ific ial", + "Ġint ellectual", + "atche wan", + "sequ ently", + "Ġpartn ers", + "Ġas ks", + "ĠG as", + "ĠIs s", + "Ġdise ases", + "ĠH az", + "act s", + "Ġthr iller", + "Ġregul ations", + "Ġp ip", + "Ġex posed", + "Ġcon greg", + "ĠO ber", + "Ġout break", + "ĠMar qu", + "Ġfal se", + "ĠId aho", + "Ġst rict", + "Ġex ceed", + "ĠR aw", + "ort ion", + "196 9", + "Ġmerg er", + "ĠL ac", + "ĠGreg ory", + "ĠSc reen", + "Ġstep s", + "Ġrem ove", + "Ġout er", + "ĠChap ter", + "ĠGabri el", + "Ġl ingu", + "Ġal gorith", + "Ġposs ibility", + "Ġass ists", + "sc ale", + "ĠDr ive", + "Ġchar ity", + "m ill", + "ĠR us", + "Ġesc ort", + "ĠFour th", + "ĠB ear", + "em e", + "ĠJac ques", + "Ġany one", + "Ġfocus es", + "Ġadv ice", + "ĠJo an", + "ĠAb raham", + "I M", + "N ov", + "Ġ7 9", + "ĠHig her", + "Ġthr one", + "ic ity", + "Ġv ul", + "ĠVill a", + "Ġlab our", + "Ġapp ly", + "ed eration", + "Ġdebut s", + "Ġoppon ent", + "ĠD im", + "Ġbatter y", + "ĠF ictional", + "ĠFer r", + "Ġsur ve", + "ĠRes erv", + "Ġtun nel", + "ĠEle ctions", + "Ġdr iven", + "Ġjurisd iction", + "Ġl ose", + "Ġdisp ute", + "ĠWork ers", + "E x", + "lov ak", + "ĠH at", + "Ġcontin u", + "ĠShe ffield", + "Ġch oir", + "ĠMer it", + "K O", + "ĠS ut", + "ĠRam s", + "ent le", + "ĠMicro soft", + "Ġ8 7", + "in um", + "ĠLeg ion", + "Ġm os", + "Ġext reme", + "Ġ ib", + "Ġ9 8", + "ĠC ec", + "ĠIn g", + "ish a", + "m other", + "ai ro", + "ĠThrough out", + "ĠOr d", + "Ġliber al", + "ĠN g", + "ĠW as", + "Ġfall ing", + "Ġr ated", + "Ġliqu id", + "ro st", + "ĠP S", + "Ġcap s", + "Ġup grad", + "Ġcomp iled", + "ĠBruns wick", + "ĠMig uel", + "ĠY ellow", + "ĠLa ura", + "Ġdomin ated", + "Ġimm igrants", + "ah an", + "Ġrese ar", + "ĠSask atchewan", + "Ġscholar ship", + "up t", + "Ġass emb", + "ĠJ oint", + "Ġsol ar", + "ĠPlay Station", + "ĠArab ia", + "ir us", + "Ġ184 8", + "Ġtw in", + "an ion", + "ĠE ight", + "ick ing", + "ĠSeb ast", + "ad r", + "ĠW ag", + "Ġminor ity", + "ck er", + "Ġwear ing", + "Ġrecip ient", + "Ġexclus ively", + "Ġkeep ing", + "ip ped", + "ĠM ills", + "Ġall iance", + "ĠS ett", + "ĠSt ru", + "Ġsett lers", + "lim inary", + "Ġconne cting", + "O T", + "Ġdes ire", + "it ol", + "Ġgen etic", + "Ġcomp ens", + "Ġnorm ally", + "ut a", + "ĠStud y", + "Ġw ire", + "ĠP rice", + "ĠMont gomery", + "Ġdecision s", + "Ġassist ed", + "Ġdisc rim", + "ĠAh med", + "Ġj ury", + "ers hire", + "Ġcon stitutional", + "ĠNap ole", + "Ġre duction", + "A nd", + "ĠDev on", + "ĠMil waukee", + "ĠTib et", + "Ġ8 4", + "ac ional", + "ĠBab y", + "Ġ185 9", + "Ġunder w", + "H P", + "Ġcond em", + "akes pe", + "Ġro ots", + "Ġt anks", + "ĠAthlet es", + "ĠOb serv", + "ĠPoet ry", + "ĠCar r", + "E L", + "Ġst em", + "Ġprodu ces", + "ĠFran co", + "ĠEs sex", + "Ġd iver", + "m id", + "iz z", + "Ġloc ally", + "C om", + "ĠE ff", + "ĠR uth", + "Ġsequ el", + "Ġdec ides", + "Ġspe aking", + "ĠVlad imir", + "Ġrequ ested", + "uz z", + "ĠScot ia", + "our g", + "19 50", + "ĠC C", + "agon ist", + "cent ral", + "Ġattra ctions", + "ĠPer th", + "h aw", + "ĠMar a", + "ĠTrans l", + "est y", + "ĠS T", + "ĠB ag", + "d ire", + "Ġpattern s", + "ĠM idd", + "Ġmid fielder", + "ĠH ab", + "ĠD anny", + "Ġconstitu encies", + "Ġ9 2", + "Ġtrad itions", + "Ġto urs", + "ĠEngine ers", + "ĠF lying", + "ok u", + "ĠA x", + "Ġgener ated", + "Ġclin ical", + "ĠSw an", + "cy cle", + "Ġro ster", + "Ġcircum stances", + "ĠJ en", + "ab ric", + "Ġsub mitted", + "Ġgrow s", + "Ġem peror", + "Ġcompet itors", + "ie u", + "ĠPal mer", + "Ġne arest", + "Ġess ential", + "p hew", + "Ġclos ing", + "t ers", + "ĠSc ar", + "Ġt ons", + "' ll", + "u ly", + "Ġimplement ation", + "f am", + "ĠMaur ice", + "er r", + "eth yl", + "Ġ185 7", + "d ef", + "ĠGi ov", + "Ġm al", + "ĠRh odes", + "Ġb ay", + "Ġcon clusion", + "Ġunc ertain", + "oc ene", + "Ġne ither", + "Ġf old", + "ĠAir craft", + "est one", + "end ers", + "ĠCy pr", + "ĠF iction", + "Ġpurs ue", + "Ġst ab", + "Ġconne ct", + "osp el", + "Ġcont roll", + "ĠT all", + "Ġr ising", + "ĠBen ed", + "p y", + "Ġbe ating", + "ĠV oice", + "ĠCh urches", + "\" :", + "ĠA j", + "Ġlim its", + "ĠL ok", + "ĠGro ve", + "ĠMar io", + "Ġ8 6", + "ĠP ath", + "Ġb in", + "bor g", + "A d", + "Ġprop ag", + "CA R", + "Ġdivers e", + "ĠP rague", + "Ġs isters", + "ĠEx am", + "Ġen forcement", + "ĠYugoslav ia", + "ĠRena issance", + "Ġbound aries", + "Ġv ast", + "ab i", + "U K", + "Ġdeliver y", + "r ating", + "l ist", + "Ġf it", + "Ġmon astery", + "Ġterm inus", + "om i", + "Ġlow est", + "Ġunsuccess ful", + "ĠSomers et", + "e ing", + "Ġbre aking", + "Ġ9 3", + "a ude", + "ra wn", + "Ġelectric ity", + "ĠDe uts", + "Ġexhib itions", + "ĠLeg al", + "ĠF ly", + "ĠK i", + "f irst", + "b one", + "Ġgro ss", + "Ġappropri ate", + "Ġacqu isition", + "ĠG amb", + "as er", + "Ġcross ed", + "he nt", + "Ġst yl", + "Ġvict im", + "Ġb right", + "Ġiniti ated", + "A t", + "uss ia", + "Ġbal ance", + "ro ph", + "Ġto uring", + "Ġclos er", + "ĠE ld", + "ĠUn incorporated", + "ĠC inema", + "Ġmidfield ers", + "Ġs ailed", + "ĠT able", + "ĠD aw", + "Ġacknow led", + "qu er", + "n amese", + "att a", + "ĠT ir", + "Ġtop ics", + "ĠMe chan", + "l ia", + "Ġint ention", + "Ġmanag ing", + "av or", + "ĠRevolution ary", + "Ġsh ock", + "Ġconne ctions", + "ĠFran z", + "cl os", + "ĠW ald", + "Ġs ight", + "Ġcon vert", + "Ġmat hematic", + "Ġprodu ctions", + "ĠV ent", + "end a", + "Ġe at", + "ĠAr med", + "196 7", + "av ia", + "ĠNew ton", + "l ain", + "Ġnovel ist", + "ĠJ ung", + "ĠSh akespe", + "ĠAbd ul", + "Ġne ck", + "Ġmechan ical", + "ĠKr ish", + "Ġto ol", + "ĠC u", + "B est", + "ĠRon ald", + "ill es", + "ĠFurther more", + "Ġr is", + "Ġhe ir", + "pl ed", + "' d", + "Ġcou p", + "ĠM ang", + "Ġrespect ive", + "h in", + "Ġm asc", + "Ġnar rative", + "Ġcontin uous", + "ap est", + "Un ited", + "l u", + "Ġp or", + "et o", + "ro e", + "tra cks", + "Ġ18 30", + "ĠMc M", + "Ġ8 9", + "Ġre organ", + "Ġdiscuss ion", + "Ġreb ell", + "ĠCub an", + "ĠOsc ar", + "c os", + "ij a", + "ĠOt to", + "ĠCom merce", + "ĠClar ke", + "ĠGu ild", + "ĠPalest ine", + "ĠIndian apolis", + "ĠNott ingham", + "ĠV ern", + "Ġconvers ion", + "ath i", + "ic as", + "ĠIn stitut", + "ĠDel ta", + "Ġman if", + "U C", + "el in", + "ĠCamer on", + "ĠA ires", + "Ġparticip ating", + "Ġpit cher", + "ĠR aid", + "c ore", + "Ġre ct", + "Ġstrateg ic", + "v ar", + "Ġtreat y", + "we b", + "ans k", + "Ġnot ice", + "Ġcondu ctor", + "Ġmar ry", + "ĠA aron", + "ĠW ed", + "Ġnegoti ations", + "193 9", + "Ġsc en", + "e o", + "Ġimp ress", + "s ur", + "ar ation", + "ĠArch ives", + "Ġhous ed", + "ĠSp encer", + "ĠUg anda", + "ri ft", + "Ġsee ing", + "Ġex ecution", + "Ġrem ix", + "ap pro", + "Eng lish", + "Ġresign ation", + "Ġ8 3", + "sec ond", + "ĠH ous", + "ĠMot ors", + "Ġstreng then", + "ĠVal ent", + "eng u", + "ĠF at", + "ĠM orning", + "ĠP and", + "Ġse vent", + "Ġorig ins", + "Ġmar ks", + "Ġinvol ves", + "Ġsubmar ine", + "Ġtr uck", + "ad ier", + "ĠBl ock", + "ĠChile an", + "ĠG T", + "Ġhe ar", + "Ġcamp s", + "ĠFace book", + "ĠSt ill", + "Ġco operation", + "Ġs ang", + "Ġtim ber", + "Ġf itted", + "ĠIsa ac", + "Ġbas es", + "Ġphot ographer", + "ĠPhil osophy", + "Ġisol ated", + "ĠSte in", + "Ġbe auty", + "ĠB od", + "ĠStock holm", + "Ġillust rated", + "Ġt urb", + "Ġconcern ing", + "d isc", + "Ġel se", + "ĠMethod ist", + "Ġal ter", + "R T", + "ĠB ak", + "ath a", + "} }", + "Ġcampaign s", + "ĠByz antine", + "av ier", + "ĠDist inguished", + "Ġsuper ior", + "writ ing", + "Ġg ard", + "Ġa qu", + "Ġr ide", + "t ar", + "Ġc attle", + "Ġexhib ited", + "is che", + "ĠJust in", + "Ġsele ct", + "ĠBr as", + "Ġman age", + "y gen", + "Ġout standing", + "Ġtrib ute", + "ĠArch ive", + "Ġg al", + "Ġst im", + "ĠOak land", + "J ohn", + "u ros", + "ĠHind i", + "ze gov", + "alle st", + "ĠMach ine", + "Ġo verseas", + "v ol", + "ĠPrinc eton", + "Ġprinc iple", + "ne x", + "on ly", + "om o", + "Ġcol ors", + "Ġphot os", + "Ġcontribut ing", + "ĠA w", + "Ġag ree", + "Ġsl ave", + "Ġmanufact urers", + "Ġ10 1", + "Ġcon vin", + "ĠC F", + "ĠH ir", + "Ġviol ent", + "E N", + "ĠThere fore", + "h istor", + "ator ial", + "h al", + "Ġexerc ise", + "Ġmechan ism", + "Ġh orn", + "Ġs alt", + "Ġtrav elled", + "ol and", + "ĠD ame", + "Ġeconom ics", + "ĠLe ft", + "ĠLiber ty", + "Ġess ay", + "Ġprote ins", + "Ġmanufact ured", + "Ġr itual", + "ĠAc cess", + "ĠNorth west", + "Ġindu cted", + "os lovak", + "Ġsurv ive", + "Ġdescrib ing", + "ig ious", + "na issance", + "Ġdisc ip", + "Ġ ur", + "ĠW here", + "Ġorig inated", + "aur us", + "Ġj u", + "is an", + "196 5", + "r ors", + "ĠB ears", + "ĠP resent", + "Ġfilm ing", + "Ġinternational ly", + "Ġm or", + "ĠRe yn", + "song writer", + "Ġper mission", + "ĠDur ham", + "r ont", + "ant i", + "et ary", + "Ġpromot ing", + "ĠSh ips", + "Ġdef ended", + "ar u", + "Ġkid n", + "F or", + "ĠRo om", + "f ilm", + "Ġrad ical", + "Ġpet ition", + "Ġa thlete", + "Ġsuit able", + "col span", + "V P", + "ĠC hess", + "Ġpict ures", + "ĠF ra", + "ang le", + "ĠR ut", + "uss els", + "ĠShakespe are", + "Ġg iant", + "ĠLi u", + "ĠS ter", + "it ic", + "O r", + "rie ved", + "c or", + "H z", + "ĠAmaz on", + "Ġun incorporated", + "t ains", + "Ġinterview s", + "Ġf at", + "Ġvir us", + "Ġincre ases", + "fr ont", + "c ott", + "ĠL ak", + "Ġwealth y", + "Ġrep orter", + "Ġdiplom atic", + "art et", + "ĠJohann es", + "Ġm aps", + "Ġminist ry", + "Ġrestaur ants", + "m ir", + "ili ar", + "Ġan alog", + "writ ten", + "umber land", + "te g", + "Ġ185 4", + "Ġegg s", + "Ġinflu ences", + "b oys", + "ĠRe ed", + "ĠBenn ett", + "ĠJama ica", + "or ious", + "ĠK ill", + "Ġor n", + "form s", + "ĠE SP", + "Ġt ies", + "ĠN ame", + "4 00", + "Ġlat est", + "cul es", + "ĠBu enos", + "Ġfight ers", + "Ġdo ors", + "Ġdist ribut", + "Ġconf ig", + "ĠLe ic", + "il o", + "Ġm it", + "Ġre aches", + "Ġm amm", + "ic ia", + "ro y", + "ĠCh i", + "Ġinn ov", + "20 23", + "Ġcl ock", + "Ġhel ps", + "Ġthe rm", + "ĠK ate", + "ĠL ess", + "l ag", + "ĠN ancy", + "C o", + "Ġreleg ated", + "pt y", + "Ġchalleng es", + "ĠCab inet", + "ĠGe off", + "zegov ina", + "ir ms", + "ĠK arn", + "ĠK as", + "ĠF olk", + "Ġne uro", + "f a", + "ph is", + "ĠL ett", + "ĠFor um", + "ĠF oster", + "enh agen", + "ĠB ros", + "ĠMan it", + "Ġin put", + "Ġge omet", + "Ġmet ropolitan", + "ĠCypr us", + "Ġ9 1", + "Ġpers u", + "ens on", + "p ubl", + "Ġexp and", + "Ġcollabor ated", + "ang ular", + "O L", + "Ġinc om", + "ĠGrand e", + "Ġdr um", + "Ġfl ights", + "Ġd angerous", + "Ġprepar ation", + "ĠS old", + "ĠPan ama", + "iv o", + "vel t", + "ĠMont ene", + "ateg ory", + "Ġr andom", + "ph ib", + "Ġfif teen", + "Ġrecogn ised", + "196 6", + "ĠViet namese", + "ĠK ol", + "ĠGoth ic", + "ĠSus sex", + "ĠRe ading", + "Ġbi ological", + "oy age", + "Ġhunt ing", + "Ġsy mp", + "ĠK or", + "Ġc ouncill", + "ĠC raw", + "ĠEncyclop edia", + "ĠConc ert", + "ĠLiter ary", + "ou ch", + "Ġland ed", + "ĠTod d", + "ĠI sh", + "Ġathlet ics", + "as hes", + "196 4", + "J une", + "Ġhy per", + "Ġdoes n", + "Ġsim pl", + "Ġdomin ant", + "ĠRelig ious", + "Ġadvent ure", + "Ġfor g", + "ĠB rid", + "ett i", + "Ġapp re", + "ok o", + "Ġgu ar", + "Ġsm ooth", + "by ter", + "Ġb er", + "ĠDe b", + "Ġcle arly", + "Ġfin ance", + "ed ed", + "Ġtemper atures", + "Ġ185 5", + "ul ating", + "ĠO wn", + "ic ing", + "ĠV ar", + "ĠSh oot", + "ĠTr in", + "Ġbut ter", + "A pril", + "A ugust", + "not es", + "ie v", + "ĠC N", + "Ġdep ict", + "ĠM obile", + "ĠSalv ador", + "ĠLuc as", + "Ġ185 8", + "ĠG y", + "Ġsc ores", + "ĠP ent", + "E M", + "Ġreport ing", + "ĠPet e", + "ĠEm ir", + "ur as", + "um er", + "ĠArt icles", + "ĠCzech oslovak", + "Ġchar ter", + "Ġf asc", + "ĠB ased", + "Ġdesign ation", + "ĠG mina", + "Ġm arch", + "Ġ18 00", + "ĠEd itor", + "Ġthere after", + "ĠPro per", + "ĠAm bassador", + "ĠAlban ian", + "Ġ rib", + "Ġw aste", + "ats u", + "Ġdepart ed", + "ĠD y", + "Ġfem in", + "ĠC itations", + "ĠZh ang", + "Ġbelie ves", + "ib ilities", + "Le ague", + "Ġs ample", + "ĠP on", + "ĠGram my", + "es a", + "ran k", + "Ġsumm it", + "Ġcompos itions", + "Ġrest ricted", + "l en", + "re f", + "Ġinte gr", + "ĠD ale", + "ric ks", + "re ction", + "art s", + "ĠAng els", + "Ġa viation", + "Ġaccess ible", + "it us", + "ĠHar bor", + "ĠD as", + "ĠM ull", + "ĠM umb", + "Ġs ket", + "Ġvis its", + "ĠE t", + "ĠR i", + "Ġdepart ments", + "Ġ9 4", + "on na", + "ĠG ur", + "row s", + "ock et", + "Ġlegisl ature", + "ĠJun ction", + "Ġearthqu ake", + "ĠP ract", + "Ġvent ure", + "ĠKenn eth", + "ĠC itiz", + "be k", + "ĠPopul ar", + "Ġtr ump", + "z on", + "J apan", + "ific ate", + "ĠAn y", + "Ġdel ayed", + "Ġbon us", + "c in", + "ĠZ imb", + "Ġdep icted", + "ĠIraq i", + "Ġfast est", + "ĠMc D", + "f ree", + "ĠS uff", + "Ġbrig ade", + "Ġpian ist", + "Ġpre t", + "D R", + "d ess", + "ra h", + "ad ian", + "ĠC yr", + "Ġn inet", + "ĠG ren", + "Ġsympt oms", + "Ġmach ines", + "Ġt el", + "Ġb aby", + "al m", + "t wo", + "Ġel igible", + "ĠF ul", + "ĠN as", + "ĠSant iago", + "ĠK w", + "Ġph arm", + "l og", + "ĠNov els", + "Ġac res", + "uch i", + "if ts", + "Ġclos ure", + "Ġacadem y", + "Ġsl aves", + "ĠEag le", + "ĠCo x", + "19 40", + "B L", + "aj i", + "ill on", + "ĠDec ision", + "Oct ober", + "Ġsound s", + "ĠHer zegovina", + "Ġf ee", + "g ments", + "Ġra bb", + "Ġlay er", + "ĠP om", + "cf c", + "Ġdemonst rated", + "om orph", + "ĠMe g", + "Ġg ram", + "ĠFinal ly", + "ĠAm ateur", + "Ġpre st", + "ĠE k", + "Ġnovel ists", + "ĠM C", + "Ġch ron", + "Ġinsp iration", + "ĠRail ways", + "Ġne phew", + "apt ers", + "Ġleg acy", + "ĠL isa", + "Ġ els", + "m n", + "ĠX X", + "Ġn ut", + "Ġtrans m", + "u ke", + "ploy ment", + "Ġt ested", + "Ġdev oted", + "ĠL az", + "Ġpre ferred", + "Ġc avalry", + "Ġf ill", + "Ġgu ests", + "ĠEle ctoral", + "ĠArmen ia", + "Ġam bassador", + "ĠWild life", + "over ed", + "ĠK re", + "ok es", + "ĠOver view", + "ash ire", + "Ġcorrespond ing", + "Ġgu itars", + "ĠS aw", + "Ġcon stitut", + "ĠA ch", + "Ġarrang ements", + "ĠEd mund", + "ĠGu ards", + "Ġcert ified", + "Ġdis ch", + "Ġbl og", + "Ġ184 9", + "on ne", + "Ġp ointed", + "ĠTh ose", + "ĠB anks", + "Ġline ar", + "b ing", + "anim ous", + "Ġburn ed", + "b ie", + "e an", + "ĠM ade", + "ab we", + "Ġattempt ing", + "Ġus age", + "Ġsub sc", + "ĠD j", + "em ies", + "Ġupd ated", + "ĠM n", + "ĠR overs", + "Ġshop ping", + "mar ks", + "ĠOw en", + "ĠRo ose", + "ren cy", + "Ġaltern ate", + "ĠP ick", + "Ġco oper", + "Ġstruct ural", + "Ġide al", + "Ġen h", + "b ank", + "h all", + "ag ers", + "at ics", + "ĠB il", + "ĠTw enty", + "Ġhor iz", + "ric a", + "count ry", + "Ġro cks", + "Ġ185 6", + "ĠMarc us", + "or ge", + "ĠP ep", + "19 18", + "Ġs aved", + "ens en", + "ĠCom edy", + "mon th", + "Ġav o", + "Ġ185 2", + "Ġcon fess", + "Ġr id", + "ĠD uc", + "Ġlist ings", + "ĠI P", + "ĠP iet", + "Ġext end", + "Ġr iding", + "Ġvert ical", + "ĠMan ila", + "ĠRelig ion", + "ĠM TV", + "ĠAn a", + "Ġinher ited", + "Ġwid er", + "b as", + "i ens", + "ĠGl ou", + "Ġde emed", + "ĠLithuan ia", + "ĠMar x", + "Ġgard ens", + "rup ted", + "Ġanim ation", + "ĠSh op", + "ĠInd igenous", + "ro d", + "Ġs iege", + "uck er", + "Ġwid th", + "en er", + "ind a", + "O ne", + "ĠC rist", + "az i", + "ĠS of", + "ĠV il", + "ĠG ael", + "c ano", + "Ġtor ped", + "ĠB un", + "Ġrev ised", + "Ġappro ached", + "U P", + "Ġqual ification", + "s he", + "Ġrele vant", + "Ġindust ries", + "Ġres umed", + "ĠS ene", + "ĠEston ian", + "ĠBro oks", + "Ġen rolled", + "am ation", + "ĠTe xt", + "ĠH ass", + "ro oms", + "ĠWinn er", + "T e", + "Ġdep ression", + "Ġpers pective", + "ĠM am", + "Ġrec alled", + "Ġt um", + "ĠN ine", + "ĠRod rig", + "ĠP or", + "z ing", + "Ġcan al", + "Ġpract ical", + "Ġrecover y", + "Ġab olished", + "ĠA ur", + "p ost", + "ĠLe x", + "ĠOb ama", + "ut ed", + "od ia", + "ĠEx hibition", + "ĠCol in", + "intend o", + "Ġbrand s", + "ĠMoroc co", + "ĠIn spe", + "Ġchem istry", + "ĠCirc le", + "ĠLux emb", + "Ġrare ly", + "ers e", + "Ġto t", + "Ġneut ral", + "Ġels ewhere", + "ĠMc L", + "arch y", + "ĠLanc ashire", + "ĠVol unte", + "Ġpric es", + "il ian", + "ĠB elf", + "f our", + "Ġcons olid", + "Ġinh ab", + "ish i", + "O P", + "bor o", + "ĠSe x", + "Se ptember", + "at on", + "Ġpower ed", + "ĠF ras", + "De cember", + "ĠI F", + "Ġbirth day", + "st ed", + "et e", + "Ġfarm ing", + "ĠM ine", + "ĠL A", + "Ġg auge", + "Ġpro secut", + "is p", + "ĠInd ies", + "ucle ar", + "cess ion", + "ĠParalymp ics", + "ar r", + "Ġan nex", + "ll a", + "el o", + "Ġcr uc", + "ot ing", + "ĠT ampa", + "Ġc yl", + "ĠDav ies", + "Ġtempor arily", + "ri ke", + "ĠS weet", + "tern oon", + "ĠSt ories", + "ĠU tt", + "ĠFern ando", + "Ġt ight", + "ĠK em", + "Ġin formed", + "ĠD ob", + "ĠEx ped", + "ĠX V", + "Ġman s", + "Ġrel ating", + "Ġremov al", + "Ġwind s", + "Ġdecor ated", + "ĠClass ical", + "Ġform ula", + "Ġdist ingu", + "Ġinstall ation", + "J uly", + "R I", + "Ġattend ance", + "el ing", + "ĠBird s", + "Ġo l", + "Ġb ath", + "Ġt enth", + "Ġl akes", + "ic z", + "Ġcl ergy", + "Ġcirc le", + "it ary", + "Ġbelong s", + "ĠL ot", + "Ġthe rapy", + "th rough", + "Ġtradition ally", + "ose xual", + "Ġd atabase", + "ent o", + "Ġdisband ed", + "ĠT yp", + "lev ard", + "ĠCorn wall", + "Ġh ospitals", + "ĠWest minster", + "Ġspe aker", + "Ġspecial ized", + "Ġanth rop", + "om ber", + "zh ou", + "ĠD ictionary", + "ĠB M", + "ĠMumb ai", + "Ġin ternet", + "ĠCop a", + "ĠTot al", + "ĠA FC", + "ĠColon ial", + "ĠCont est", + "ĠSl av", + "ĠHar per", + "Ġpredecess or", + "g ra", + "ent ry", + "ĠMond ay", + "Ġb achelor", + "we ek", + "s i", + "Ġrestrict ions", + "ĠCop enhagen", + "Ġres id", + "ĠJ ava", + "on so", + "ĠS elf", + "Ġarchae ological", + "ar ians", + "isc her", + "Ġb ell", + "ĠRoose velt", + "oy e", + "ĠTra vel", + "ĠRe con", + "Ġconvent ional", + "Ġr um", + "Ġele mentary", + "ĠSch w", + "Ġhy brid", + "Ġcolumn s", + "r ish", + "ĠGard ens", + "Ġcoin s", + "ĠLou ise", + "Ġsur pr", + "ĠZimb abwe", + "Ġg ran", + "oy a", + "ili ary", + "Ġinterpret ation", + "Ġdec ide", + "Ġpart ial", + "re ts", + "st and", + "ur ated", + "af e", + "ap ur", + "Ġarr iving", + "Ġarg ument", + "Ġextens ively", + "ĠJul ian", + "ĠLabor atory", + "Ġinter cept", + "Ġinter pre", + "om ed", + "Ġbas in", + "ĠAp pro", + "Ġext inct", + "ĠG erald", + "rap ped", + "r ise", + "Ġc a", + "Ġus ual", + "ĠN intendo", + "A ust", + "Ġpione er", + "Ġident ical", + "196 2", + "oir s", + "ĠRe ich", + "Ġco at", + "Ġabs ol", + "ĠMar itime", + "ĠM use", + "ĠGiov anni", + "ĠAll an", + "Ġann ounc", + "Ġexpos ure", + "Ġp airs", + "m akers", + "nd ez", + "Ġn am", + "Ġrul er", + "ĠBl ake", + "z ed", + "ĠFif th", + "ĠInter view", + "H C", + "Ġ 00", + "at em", + "iff s", + "Ġcarri er", + "Ġrang ing", + "B N", + "ĠAp oll", + "ad ows", + "Ġrem ote", + "Ġs ke", + "ll er", + "Ġwrit ings", + "Ġt ens", + "im ates", + "Ġlook ed", + "h im", + "Ġpo le", + "ĠInt ro", + "ĠCan ter", + "l isted", + "Ġend ors", + "ĠEp iscopal", + "in f", + "ĠNik ol", + "ac co", + "Ġart work", + "Ġrev ol", + "ĠM atch", + "bro ok", + "196 3", + "igr ant", + "ĠG P", + "Ġcomm enced", + "Ġrece ives", + "ur se", + "ĠMalays ian", + "ĠPalest inian", + "ĠT ree", + "Ġv el", + "ĠA my", + "Ġdiss olved", + "Ġhousehold er", + "ĠRes ources", + "ĠPre m", + "Ġtribut ary", + "ĠRec ording", + "Ġ185 1", + "am y", + "Ġbank rupt", + "M usic", + "Ġwalk ing", + "on ial", + "ĠAh mad", + "Ġvocal ist", + "S U", + "Ġal ive", + "ĠQu est", + "Ġmin i", + "ĠH erald", + "Ġl ift", + "ĠDes ert", + "ĠMal ta", + "Ġab oard", + "Ġindic ating", + "Ġt icket", + "Ġfra ud", + "ĠPres byter", + "l ane", + "in as", + "Ġcom fort", + "Ġre vers", + "ĠFer din", + "ĠC ort", + "Ġwork er", + "Ġexp ensive", + "Ġpri ests", + "Ġs ung", + "y on", + "Ġcon ven", + "ĠR ice", + "l ights", + "Ġfre estyle", + "ĠC ust", + "w id", + "ĠA F", + "Ġcolle ctive", + "os es", + "ĠA ub", + "Ġdifficult ies", + "ĠPar ad", + "ĠEll is", + "play ing", + "ĠUS S", + "ĠRe form", + "ĠCamp us", + "onn ie", + "ĠEnd emic", + "ĠSe g", + "op ol", + "Ġcor ruption", + "at hered", + "Ġcat hedral", + "Ġexclus ive", + "ac in", + "ĠParliament ary", + "Ġdis order", + "Ġaff air", + "ff cc", + "ĠT ab", + "Ġaccom pany", + "Ġcop per", + "Ġc iting", + "found er", + "Ġde ck", + "Ġl iv", + "ĠGu itar", + "Ġf ulf", + "ĠT alk", + "ĠH im", + "st ract", + "ĠP ale", + "Ġbre ast", + "19 30", + "ĠBund es", + "Ġarchite cts", + "ĠKum ar", + "ĠAp ost", + "ull ah", + "ĠCard inal", + "Ġcomp ound", + "Q u", + "ĠV II", + "ed o", + "Ġb otan", + "ir ts", + "ĠMan ufact", + "ĠPear l", + "Ġcitiz en", + "Ġopt ions", + "Ġcarri es", + "ĠSaf ety", + "er ie", + "stru ct", + "195 9", + "ĠO z", + "Ġb ull", + "Ġtal ks", + "com pass", + "Ġfle w", + "ĠHit ler", + "Ġphys ic", + "ĠIs le", + "Ġsp end", + "ĠGu ang", + "Ġ{ {", + "Ġpit ched", + "Ġr ice", + "Ġsynd rome", + "Ġesc aped", + "Ġaggreg ate", + "Ġm oral", + "w as", + "Ġrefer end", + "Ġcent res", + "mont on", + "Ġpro l", + "Ġfoot age", + "Ġtarg ets", + "Ġun like", + "Ġra ising", + "ĠM ixed", + "Ġb ibl", + "Ġco ached", + "ari um", + "s ub", + "ĠGeorg ian", + "ĠB ott", + "ĠCelt ic", + "ĠM D", + "Ġc inem", + "Ġper mitted", + "um ps", + "or um", + "Ġh ills", + "Ġelev ated", + "Ġpl acing", + "Ġl ar", + "ĠEvent ually", + "ĠS ullivan", + "196 1", + "w oman", + "Ġre ducing", + "ĠAr d", + "n amed", + "Ġ <", + "Ġtechn ologies", + "ĠWy oming", + "ĠP iano", + "Ġsimultane ously", + "ĠB ronze", + "ĠManit oba", + "ĠG and", + "ĠTra in", + "ĠMon th", + "ĠHer o", + "ĠJ al", + "ĠRe cent", + "Ġdis aster", + "S outh", + "Nov ember", + "Ġsculpt or", + "osoph ical", + "ĠHol mes", + "Ġswit ched", + "is ons", + "Ġr ig", + "Ġre op", + "ĠDou ble", + "Ġpull ed", + "Ġeffic ient", + "Ġrefle ct", + "c u", + "leg raph", + "Ġfram ework", + "Ġme at", + "Ġvirt ual", + "ĠBeg inning", + "od ing", + "i our", + "and ro", + "ĠH es", + "ĠCl aud", + "v or", + "ĠW ik", + "ĠH us", + "Ġimprison ed", + "ĠESP N", + "Ġpl ain", + "ĠH arm", + "Ġs itting", + "ĠSc out", + "for ced", + "Ġf t", + "Ġc hess", + "v y", + "Ġg ear", + "Ġpil ots", + "ĠMet al", + "ĠPl ate", + "ĠOr land", + "ĠMor i", + "ac les", + "g ary", + "G M", + "H F", + "Ġb oss", + "Ġaware ness", + "Ġt ill", + "Ġnickn ame", + "ĠSh ield", + "ĠB ark", + "ĠTan z", + "Ġlocomot ive", + "Ġcoin c", + "ĠL iv", + "Ġdef ender", + "Ġveter an", + "195 8", + "ĠH D", + "y stem", + "ĠCurrent ly", + "s m", + "Ġdem ands", + "ĠPlay ing", + "Ġfund amental", + "th ird", + "sh a", + "ĠGl ass", + "G C", + "ĠM ales", + "ĠDun can", + "Ġcoll apse", + "Ġquarter back", + "Ġsh ops", + "Ġs ugar", + "Ġans wer", + "ĠW ool", + "ax y", + "Ġbomb ing", + "Ġcompar ison", + "Ġcoll aps", + "ĠBel grade", + "man uel", + "in ating", + "ĠC ore", + "Ġbus es", + "Ġ184 7", + "ĠX I", + "amb ers", + "le z", + "I reland", + "ĠWood s", + "ĠC R", + "ci ation", + "Ġemot ional", + "w orld", + "U N", + "ĠG ymn", + "onn ell", + "Ġt ier", + "ĠDe cl", + "k t", + "P r", + "ĠBe et", + "ond o", + "Ġstud ios", + "ol ics", + "ĠW atch", + "g ence", + "ĠAn at", + "ĠF K", + "Ġbl ues", + "Jan uary", + "ĠPort s", + "Ġthe ories", + "hold ers", + "Ġer ror", + "h arm", + "Ġfl ank", + "ĠB ran", + "at in", + "ĠBr ussels", + "ĠUnivers e", + "Ġwid ow", + "Ġorgan ic", + "ĠJul ia", + "Ġsam ples", + "Ġbl ind", + "oot s", + "ra cks", + "ack ed", + "ĠH od", + "Ġfound ers", + "ĠS ou", + "ĠCal gary", + "Ġsc iences", + "ĠLes lie", + "ĠK om", + "ĠSt akes", + "ĠBut ter", + "Ġdes ert", + "ĠEston ia", + "193 6", + "ĠMar in", + "ĠC avalry", + "Ġout door", + "av ian", + "Ġhistor ically", + "Ġcor ps", + "ib a", + "Ġch rom", + "itte es", + "Ġpr ince", + "ĠR A", + "Ġprom in", + "ĠPhys ics", + "Ġun less", + "ĠCanter bury", + "195 7", + "ar ry", + "ĠSoft ware", + ") )", + "Ġphil anthrop", + "ĠFa ith", + "ĠD iet", + "Ġfeel ing", + "com m", + "uk u", + "Ġg athered", + "ĠT iger", + "ĠK urt", + "ĠV a", + "in ery", + "Ġp ap", + "Ġcart oon", + "ĠTri ple", + "Ġent hus", + "Ġmeas ured", + "che l", + "ĠF ut", + "Ġtouchdown s", + "Ġev olved", + "Ġreserv es", + "W hat", + "ĠLegisl ature", + "ĠE is", + "ĠD um", + "Ġto x", + "Ġp ushed", + "ĠAndrew s", + "ast ics", + "ĠMe et", + "Ġ185 3", + "ĠSp ider", + "Ġmain stream", + "Ġin stitute", + "ĠCh ange", + "I nt", + "d orf", + "Ġthink ing", + "ĠCont inental", + "Ġspe akers", + "imens ional", + "ĠPro p", + "Ġdoll ars", + "Ġt ub", + "ĠHop kins", + "ĠN ortheast", + "im en", + "iz ard", + "ig i", + "ĠAd vanced", + "I tal", + "ĠHonor ary", + "r ary", + "ad h", + "Ġrif le", + "ĠL ic", + "Ġphr ase", + "ĠT ropical", + "ĠL oss", + "on ica", + "Ġdet ect", + "Ġent ers", + "all ing", + "ad ers", + "Ġw orn", + "o ft", + "ĠMe h", + "Ġall ies", + "Ġun ions", + "ĠFight ing", + "Ġcasual ties", + "Ġthan ks", + "ĠH erm", + "Ġdescend ants", + "S ch", + "qu et", + "ĠBra h", + "Ġexpl ains", + "ĠR ush", + "Ġste ep", + "ĠBry an", + "o que", + "Ġrang es", + "Ġatmosp here", + "intend ent", + "Ġbox ing", + "Ġtour ist", + "Ġret reat", + "Ġwor st", + "ĠAr sen", + "int ers", + "ĠSol omon", + "bo at", + "ĠLithuan ian", + "Ġsusp ension", + "Ġproced ure", + "l ength", + "us a", + "Ġdial ect", + "ater al", + "Ġvaria ble", + "Ġcomp rehensive", + "es is", + "Ġh idden", + "ip ur", + "as an", + "Ġgold en", + "Ġexhib it", + "ĠAlban ia", + "ĠUnivers ities", + "Ġcross es", + "Ġcor on", + "ĠHe ights", + "Ġz ero", + "ĠTrans it", + "ist ing", + "Ġdocument ed", + "I f", + "ĠCom pos", + "ĠCa uc", + "Ġsh aring", + "Ġinter change", + "ĠV eter", + "ĠC un", + "Ġdo ct", + "Ġhon ours", + "ang ered", + "Ġcharacter istic", + "ĠS ons", + "Ġrefuge es", + "Ġpro ve", + "Ġdis app", + "E ast", + "Ġro ot", + "Ġ184 6", + "ĠEd monton", + "ĠM is", + "Ġag es", + "ĠNAS A", + "Ġp ist", + "ipp ing", + "Ġassoci ations", + "ĠLud wig", + "ĠL on", + "Ġst ake", + "Ġautom atic", + "ĠStart ing", + "Ġslow ly", + "r t", + "ĠRem ix", + "r ity", + "Ġappro aches", + "ĠBur ials", + "Ġsp ell", + "Ġst ops", + "Ġf ert", + "Ġs oph", + "ĠRoll ing", + "Ġres iding", + "ick en", + "ĠTw itter", + "ĠP R", + "ĠT at", + "ĠGu j", + "Ġpe er", + "195 6", + "ĠPow ell", + "iff e", + "Ġattack ing", + "ĠEm ma", + "195 5", + "k u", + "Ġcivil ians", + "Ġreg ister", + "Ġgrand son", + "Ġconsum ption", + "Ġsoci eties", + "n al", + "Ġpost s", + "Ġy ard", + "Ġind epend", + "Ġsport ing", + "ĠNew port", + "ĠFrank furt", + "Ġres ol", + "Ġmag ic", + "ĠCh ad", + "ĠHend erson", + "Ġpro x", + "ĠCl if", + "Ġrem ark", + "Ġins pe", + "ĠH iro", + "Ġart ificial", + "19 20", + "Ġsust ained", + "Ġse eds", + "Ġsuppl ied", + "193 7", + "Ġb old", + "Ġreg ulation", + "ĠKing ston", + "ĠThe ory", + "ĠR ib", + "pir acy", + "i ott", + "ĠH ull", + "ĠSh adow", + "itz er", + "g art", + "ĠPl anning", + "Ġmonth ly", + "Ġdiffic ulty", + "Ġexcell ent", + "Ġkey board", + "ĠM uk", + "Ġfeel ings", + "ĠBrad ley", + "l it", + "f ast", + "ĠP orter", + "l ies", + "ern ess", + "Ġsculpt ures", + "Ġben ch", + "ĠMem phis", + "Ġib n", + "Ġcom ments", + "ĠPlan et", + "Ġin struction", + "G u", + "ĠT yler", + "ĠV id", + "Ġvers e", + "ux iliary", + "ch ief", + "ĠTe h", + "ĠMar ri", + "Ġconne cts", + "Ġen compass", + "ĠShe p", + "a very", + "quir y", + "Ġcontrol s", + "ĠSt rat", + "ĠLe op", + "Ġrefer ring", + "ĠS ie", + "Ġor chest", + "Ġtour ism", + "Ġ\" [", + "b ase", + "ĠPar am", + "s outh", + "ĠExped ition", + "Ġdr ink", + "Ġent repreneur", + "Ġfail ing", + "Ġen emies", + "ĠP ool", + "w he", + "ĠP seud", + "spe ed", + "Ġvict ories", + "Ġhyp othes", + "Ġtem ples", + "Ġdistin ctive", + "ĠEm ily", + "Ġfe ud", + "ĠSur rey", + "Ġover t", + "ĠMinist ers", + "Ġrad ar", + "ĠBre ak", + "ph ab", + "Ġt elling", + "ĠComple x", + "sh i", + "Ġkilomet ers", + "ĠC ord", + "atter ed", + "ĠArm strong", + "Ġs overe", + "ĠBl oom", + "m us", + "ĠBa iley", + "Ġpsych ology", + "enti eth", + "ĠN atal", + "194 2", + "ĠHigh land", + "ĠLore n", + "Ġlog o", + "ke es", + "ĠSp art", + "ĠM iles", + "Ġqu ad", + "ut ical", + "G S", + "Ġdiscontin ued", + "ĠDire ct", + "and ra", + "ad os", + "Ġloc k", + "ĠM om", + "ĠPrincip al", + "Ġpl astic", + "Ġpopul ated", + "ĠOrland o", + "Ġdanc er", + "ĠRichard son", + "ĠWarri ors", + "6 00", + "Ġdistin ction", + "Ġev il", + "Ġreform s", + "S w", + "ĠA A", + "D I", + "ĠE state", + "Ġcontract s", + "Ġh yd", + "ĠFran ois", + "ĠP ly", + "Ġcomed ian", + "Ġfor ty", + "194 1", + "Ġmiss ile", + "Ġf ib", + "Ġab ilities", + "r h", + "Ġm orph", + "ĠDou g", + "ĠEv angel", + "193 5", + "ĠW or", + "uis ine", + "ĠU z", + "Ġexper iments", + "en i", + "ĠNad u", + "ĠFerdin and", + "ĠInter ior", + "Ġsup plement", + "Ġret iring", + "it ro", + "Ġprogram mes", + "Ġvolunte ers", + "Ġb one", + "iat ric", + "ĠSlov enia", + "p id", + "Ġair line", + "Ġobject ive", + "ĠHe aven", + "Ġbre eding", + "ĠD und", + "ĠQ ing", + "ĠBou levard", + "Ġneighbour hood", + "om es", + "he ro", + "ĠPict ure", + "ge bra", + "a q", + "Ġt one", + "Ġlaws uit", + "Ġprint ing", + "Ġpredomin antly", + "Ġg ap", + "Ġthe sis", + "ĠN acional", + "j oin", + "Ġsp ots", + "p es", + "stan bul", + "Ġrecru ited", + "Ġd rove", + "f ol", + "Ġg rid", + "ĠEug ene", + "Ġtax es", + "Ġdo ctors", + "ĠAnd ers", + "195 3", + "Ġvul ner", + "Ġarr ives", + "ĠT ake", + "Ġf ung", + "ĠK ang", + "Ġimpro vements", + "b eat", + "Ġv ow", + "ĠK ad", + "Ġlo oks", + "ĠGu atem", + "l ay", + "ĠComple te", + "Ġpark ing", + "Ġcolle agues", + "Ġadminist ered", + "Ġathlet ic", + "h is", + "Ġlo op", + "du ces", + "Ġgrad uation", + "Ġas pect", + "fam ilies", + "st s", + "up er", + "Ġvo iced", + "ĠLuther an", + "Ġrat ings", + "Ġdiplom at", + "Ġbeet le", + "ĠCom bat", + "ub b", + "ĠCarol ine", + "ĠAg es", + "Ġacc um", + "Ġlay out", + "Ġc ave", + "ien ne", + "Ġass um", + "ĠG n", + "ĠZ amb", + "ple te", + "m l", + "ric ulum", + "Ġred es", + "ari us", + "ess a", + "Ġtheat rical", + "ĠBrad ford", + "v as", + "Ġsyn onym", + "Ġqu een", + "Ġaut ob", + "Ġhe nce", + "ĠL if", + "ĠH MS", + "193 8", + "Ġa w", + "ĠC andid", + "ra its", + "ĠTour ism", + "ol an", + "Ġfavor ite", + "Ġannounce ment", + "ĠR achel", + "Ġlabor atory", + "Ġgra ve", + "ĠGen us", + "Ġaffili ate", + "b ian", + "ĠAd rian", + "Ġalleg ations", + "h orn", + "ĠCh ase", + "Ġwrest lers", + "ĠS pect", + "le ston", + "Ġas king", + "m al", + "Ġdown load", + "des ignated", + "ĠOther s", + "ĠW orth", + "Ġs ure", + "Ġl ib", + "ĠStaff ord", + "iz a", + "e a", + "Ġor th", + "Ġexpl icit", + "Ġrel ay", + "ard i", + "le ct", + "Ġrap per", + "f ounded", + "ĠM ater", + "ĠP am", + "Ġpro of", + "ĠJenn ifer", + "ĠA I", + "Ġvari ation", + "Ġpat ri", + "he ld", + "ann on", + "Ġd ict", + "Ġret ain", + "offic ial", + "ĠD ig", + "om ar", + "ĠI gn", + "Ġconsist ent", + "Ġch ore", + "che z", + "Ġemploy ee", + "E uro", + "Ġtravel s", + "ar in", + "ĠSim pson", + "Ġpay ment", + "im er", + "ĠRoberts on", + "ĠW ake", + "ĠL ah", + "Ġr iders", + "Ġc ogn", + "ĠAb original", + "ĠW onder", + "Ġfocus ing", + "ou x", + "ĠLoc ation", + "Ġwa iting", + "Ġobl ig", + "j in", + "ap ing", + "it udes", + "Ġfa una", + "ĠS ap", + "Ġst ead", + "ĠCap itol", + "ĠAgric ultural", + "enc ia", + "Ġlo ad", + "ĠLind a", + "Ġgrad es", + "Ġval uable", + "ĠS oci", + "ĠM ing", + "Ġcom mentary", + "ĠSem i", + "ag ram", + "Ġnam ely", + "ĠEngine er", + "ĠHe ath", + "ĠCurt is", + "c io", + "ĠEuro vision", + "Ġceleb ration", + "ber y", + "Ġin hib", + "ĠPl ants", + "194 9", + "al in", + "Ġp unk", + "ĠJ ag", + "Ġsurn ames", + "ĠD ong", + "ĠL av", + "ĠNot re", + "ĠInd ex", + "pl ing", + "ĠRepublican s", + "Ġsax ophone", + "Ġcompris es", + "f n", + "Ġgoal keeper", + "Ġadvoc ate", + "oc ent", + "ĠT rent", + "ĠCor p", + "ĠGib son", + "Ġc ad", + "Ġf lex", + "ist o", + "Ġun ex", + "ĠE g", + "ĠHur ricane", + "ĠDocument ary", + "ĠPresbyter ian", + "Ġspok es", + "Ġinsc ription", + "Ġbusiness people", + "em pl", + "P P", + "Ġunder graduate", + "ear ing", + "Ġneighbor ing", + "ĠInter state", + "u er", + "Ġang le", + "ĠSlovak ia", + "c ity", + "195 2", + "Ġm ilk", + "V A", + "m ount", + "Ġpo ison", + "ĠBat man", + "wid th", + "Ġlab els", + "ĠPresident ial", + "Ġexpl an", + "Ġcommun ist", + "ĠPir ates", + "qu in", + "m ail", + "spe aking", + "Ġb ars", + "ĠH ed", + "19 19", + "195 4", + "aw i", + "Ġf iles", + "Ġqu e", + "ĠPhys ical", + "Ġc ounsel", + "ane ous", + "Ġa ims", + "Ġmur ders", + "Ġso ap", + "Ġrev ival", + "Ġg ift", + "ĠCard iff", + "Ġinter action", + "Ġemphas is", + "hab ilit", + "f ight", + "ĠLiber ation", + "ĠImp act", + "ĠF an", + "Ġchalleng ed", + "Ġd eter", + "Ġalleged ly", + "ĠG an", + "ĠB j", + "Ġed itors", + "Ġfre ight", + "Ġman ip", + "ĠGl enn", + "ĠTr ue", + "194 8", + "Ġunivers e", + "Ġb out", + "Ġt ag", + "Ġpat ent", + "ĠChel sea", + "b et", + "ĠA N", + "ĠPro gressive", + "zy me", + "Ġdial ogue", + "ĠR ac", + "p it", + "ĠBened ict", + "ĠHead quarters", + "ĠF erg", + "ĠMar cel", + "Ġsh ield", + "Ġox ygen", + "E F", + "Ġgeneral s", + "Ġgraph ic", + "ar ity", + "ĠPar agu", + "rand ed", + "ĠC av", + "ĠS ent", + "Ġwrest ler", + "ĠA ra", + "Ġstat ements", + "Ġtrans it", + "Ġtri ple", + "Ġfoss il", + "he nd", + "f eat", + "per t", + "p op", + "ĠL ink", + "ap a", + "ĠW end", + "ĠRoad s", + "Ġcons cious", + "Ġfl ash", + "f in", + "Ġconcept s", + "Ġpre v", + "194 4", + "8 00", + "Ġdet ail", + "Ġwarn ing", + "Ġfunction al", + "Ġdevelop ments", + "ash tra", + "Ġs av", + "ĠG ir", + "ĠV ision", + "Ġto ll", + "S he", + "ess ed", + "Ġj ew", + "ĠCath olics", + "ĠVir t", + "ĠR ican", + "Ġimp ossible", + "Ġdram atic", + "ĠI stanbul", + "H ung", + "ĠBelf ast", + "ĠChem ical", + "ĠCr us", + "Ġreb ounds", + "n ut", + "ĠM t", + "ĠSant os", + "ĠB ot", + "id ance", + "Ġm oll", + "ĠKazakh stan", + "Ġseem ed", + "Ġmain land", + "ĠCr iminal", + "ĠK urd", + "ĠPal m", + "Ġcomp ounds", + "Ġtack les", + "n ai", + "Ġcal endar", + "ere k", + "Ġexact ly", + "Ġexpl ain", + "ond e", + "ĠNe g", + "ĠD w", + "ber to", + "ĠAct iv", + "ĠAcc ount", + "ĠSch olar", + "ctor ate", + "Ġdr inking", + "194 6", + "Ġeng agement", + "k ok", + "Ġel abor", + "Ġb ats", + "ĠLy on", + "m ade", + "ir th", + "195 1", + "Ġexecut ives", + "ĠC ome", + "ĠMidd les", + "ar am", + "Ġmaintain ing", + "on al", + "Ġst ere", + "ct uary", + "ĠE RA", + "og o", + "am med", + "ĠF est", + "Ġarg ues", + "Ġunderw ent", + "ro le", + "Ġans w", + "ĠP ink", + "ch y", + "Ġbroadcast s", + "e ctions", + "Ġen act", + "Ġphilos opher", + "Ġbel t", + "Ġbehav iour", + "L S", + "Ġeditor ial", + "ĠCour se", + "ĠTh under", + "Ġph osph", + "ĠNAS CAR", + "Ġarr ive", + "Ġfif ty", + "ust rated", + "ĠAmer icas", + "ĠDev il", + "ĠEn s", + "in ted", + "Ġd iet", + "clud ed", + "ĠEm my", + "Ġext ends", + "Ġhapp y", + "ĠBed ford", + "ĠOs lo", + "Ġhead quarter", + "ĠCrit ics", + "ĠAm endment", + "build ing", + "ĠN AT", + "193 3", + "ĠM oney", + "ĠRe id", + "Ġimprison ment", + "Ġra id", + "Ġop ens", + "ĠWith out", + "Ġdiv or", + "Ġwar fare", + "ott o", + "Ġf iring", + "ĠAntar ctic", + "ĠP i", + "ĠH oll", + "Ġf aces", + "ĠPre ston", + "Ġimm igration", + "ĠP all", + "Ġsurviv ors", + "Ġl ad", + "O W", + "F ebruary", + "Ġres ource", + "Ġamount s", + "ĠCom b", + "ĠTour ist", + "ĠAgain st", + "ĠK aren", + "ĠAn imal", + "Ġw ars", + "Ġm emor", + "ip zig", + "Ġin g", + "ĠLuxemb ourg", + "ĠL il", + "oun s", + "Ġab und", + "bu ilt", + "Ġholid ay", + "Ġbeat en", + "Ġpres ents", + "Ġmole cular", + "ĠH alf", + "ĠH aven", + "ĠFellow ship", + "Ġreferend um", + "en o", + "Ġ184 5", + "oca ust", + "k ers", + "est rian", + "ro us", + "Ġcolon ies", + "le w", + "Ġspec imens", + "r ill", + "19 22", + "Ġpass ion", + "Ġm as", + "Ġconsum er", + "ID S", + "Ġc ant", + "sh ore", + "ĠC ed", + "ĠU FC", + "he rent", + "ild a", + "ĠB rent", + "Ġper ceived", + "194 7", + "Ġch apters", + "Ġaf ternoon", + "uch y", + "ĠD oll", + "Ġc ow", + "ch ard", + "ĠPat ric", + "Ġsign als", + "ĠAlger ia", + "ĠR iv", + "Ġf abric", + "Ġprep are", + "Ġse gments", + "ĠBurn s", + "ĠE in", + "he ng", + "ang o", + "asc ar", + "Ġsh arp", + "Ġprogress ive", + "ĠB A", + "Ġs ick", + "ĠUtt ar", + "t es", + "Ġtravel ing", + "ĠT ales", + "Ġ ).", + "ĠDisc overy", + "te chn", + "ĠV ij", + "Ġwill ing", + "19 29", + "ĠO pt", + "im m", + "ing le", + "ĠK ann", + "12 2", + "Ġgl ac", + "ĠOrgan izations", + "Ġd iversity", + "Ġcult ures", + "Ġsuccess ion", + "ĠEx cell", + "Ġhand ed", + "l as", + "ĠCorn ell", + "Ġaccommod ate", + "Ġm aid", + "ĠL ists", + "ĠC ut", + "ĠL ip", + "omet own", + "ĠPrim era", + "ĠA FL", + "ber ger", + "Ġperform ers", + "is le", + "ĠFed er", + "ĠSe oul", + "ĠLuc y", + "Ġj ail", + "ĠP ere", + "ĠAdvent ures", + "Ġor b", + "193 4", + "Ġfor cing", + "stad t", + "Ġact ively", + "add y", + "ass y", + "Ġperman ently", + "ĠEm il", + "Ġ7 00", + "Ġeffic iency", + "ĠMil ton", + "ĠV isc", + "ĠC any", + "amm ad", + "ĠTri p", + "Ġgraph ics", + "ĠLyn n", + "M D", + "ĠK yle", + "ĠK ot", + "ĠEd gar", + "ĠS ed", + "ĠAdminist rative", + "Ġreview ed", + "h urst", + "Ġimpro vement", + "qu est", + "ĠAndre a", + "ĠBas il", + "ĠNew sp", + "Ġassess ment", + "Ġprison er", + "Ġsus pected", + "Ġext ending", + "ĠBur ton", + "in ts", + "Ġsc andal", + "ĠD istricts", + "Ġprovision s", + "Ġinvestig ate", + "ĠTreat ies", + "19 14", + "ĠFras er", + "Ġhard ware", + "Ġn a", + "ĠI g", + "Ġprevent ed", + "mun ition", + "Ġ10 5", + "ĠBe yond", + "im mer", + "ay e", + "ĠC ly", + "ĠL ap", + "p iece", + "ĠJohn s", + "i w", + "Ġalt itude", + "ĠG am", + "Ġcont ribute", + "ĠExam ples", + "Ġor ange", + "ĠLett ers", + "Ġcap ita", + "ĠEst abl", + "ĠH els", + "ĠGust av", + "Ġ18 12", + "ĠF antasy", + "Ġread ers", + "ĠMar ian", + "ic ul", + "ĠW it", + "Ġcut ting", + "Ġpresent er", + "Ġpresent ation", + "re ne", + "ĠV ale", + "Ġt ram", + "c ats", + ". ;", + "Ġt ru", + "Ġgu ards", + "Ġs ending", + "ĠYan kees", + "u h", + "Ġship ping", + "ĠH ost", + "ĠWag ner", + "Ġnumber ed", + "str ument", + "Ġaff ord", + "atri ates", + "Ġin tern", + "ow ing", + "ĠRes p", + "Ġeduc ator", + "ĠHug o", + "Ġc raft", + "ĠL odge", + "et own", + "im p", + "Ġachie vements", + "Ġrefle cted", + "ĠK aw", + "ri er", + "f bb", + "Ġconvin ced", + "ĠGael ic", + "Ġput ting", + "Ġrebell ion", + "ĠBud apest", + "Ġtrans form", + "Ġ12 5", + "f ive", + "ĠTh an", + "ĠTrin idad", + "Ġte eth", + "oc hem", + "Ġbur ial", + "Ġaddress ed", + "ĠG es", + "v ity", + "ĠMar ion", + "Ġal ien", + "com mon", + "Ġpres erve", + "Ġconfl icts", + "ĠAber de", + "Ġfam iliar", + "Ġas k", + "Ġbo ards", + "Ġ13 0", + "ett es", + "ĠRoche ster", + "Ġpost er", + "Ġ183 7", + "Ġconf ront", + "m ant", + "Ġstation ed", + "ad ors", + "Ġ183 9", + "Ġoper ators", + "bo oks", + "ĠGene va", + "Ġmyth ology", + "Ġsol utions", + "Ġexam ination", + "ber n", + "Ġsail ing", + "Ġthere by", + "Ġcounter part", + "qu al", + "ipe g", + "an che", + "Ġfl our", + "ĠEthiop ia", + "Ġdies el", + "o il", + "ĠC anton", + "Ġsh ots", + "ĠP aper", + "Ġor g", + "ĠA th", + "Ġinter vention", + "Ġt ip", + "Ġrel ie", + "Ġrenew ed", + "Ġadminist rator", + "il ion", + "ch air", + "Ġcitizens hip", + "iment al", + "Ġ1 17", + "ĠV it", + "ĠK iss", + "ce ased", + "Ġex it", + "Ġdiscrim ination", + "Ġth rew", + "Ġleg it", + "ĠNever theless", + "Ġemp ire", + "Ġt ape", + "st ance", + "ĠElect ronic", + "ĠL ed", + "A f", + "ĠColomb ian", + "ist le", + "ĠH ern", + "Ġess entially", + "Ġd ogs", + "ĠMc Donald", + "ĠC os", + "Ġb rew", + "Ġevent ual", + "Ġthir teen", + "Ġnot ing", + "ĠAg re", + "ĠD ew", + "d an", + "Ġt ube", + "ut o", + "ĠMax im", + "ĠSher iff", + "ĠAdvis ory", + "ĠBir th", + "ĠWes ley", + "ĠM ob", + "ĠMar l", + "194 3", + "Ġprot otype", + "m ology", + "ic ism", + "ĠMy an", + "Ġt issue", + "Ġc hest", + "Ġm emb", + "ĠRe y", + "Ġnom inee", + "ĠR T", + "C ent", + "Ġp m", + "Ġend ings", + "st ock", + "ĠD arl", + "Ġdem anded", + "a uthor", + "ĠAlb any", + "th at", + "Ġcrop s", + "ĠS M", + "Ġre verse", + "Ġre ward", + "Ġgovern ing", + "Ġjud icial", + "ĠSing er", + "ic ular", + "ĠGl obe", + "pro duced", + "ĠWed nes", + "ĠReyn olds", + "c ock", + "Ġexper ts", + "iab ility", + "Ġdisc overs", + "Ġlif etime", + "ĠConstant in", + "Ġpack age", + "st op", + "ah u", + "ĠSerge ant", + "er ts", + "ĠPly mouth", + "ĠEll en", + "ator ies", + "ĠH off", + "ĠCar roll", + "Ġfriend ship", + "Ġconstru ct", + "s u", + "ster ious", + "ĠCon stitu", + "ĠI z", + "Ġinterest ing", + "ĠR az", + "ĠBe ver", + "oy le", + "Ġrequ iring", + "Ġcon ferences", + "g ang", + "193 2", + "t or", + "ĠB alk", + "Ġg aining", + "h ra", + "ĠBright on", + "ĠSh ore", + "ig ate", + "ĠC e", + "Ġpl ates", + "Ġfor th", + "ĠB end", + "Ġspecial ist", + "ĠC eleb", + "h art", + "Ġcompris ing", + "Ġtorn ado", + "Ġpsych ological", + "ch in", + "ĠRif le", + "Ġsh orter", + "if ax", + "ĠSt ore", + "] .", + "ĠAm b", + "arm s", + "col m", + "Ġh o", + "Ġg host", + "og g", + "Ġdel iber", + "Ġp ill", + "ĠJ i", + "Ġind oor", + "n on", + "Ġre de", + "Ġtas ks", + "ab out", + "ĠD S", + "Ġbreak s", + "B rien", + "ad m", + "ĠMyan mar", + "ins k", + "ĠJer emy", + "Ġdem ocracy", + "Ġinf ection", + "Ġf aster", + "h ou", + "Ġord inary", + "ĠCh uck", + "e ff", + "enz ie", + "l ined", + "pec ies", + "t z", + "Ġf ame", + "Ġex ile", + "ĠM aid", + "ak ov", + "Ġw elfare", + "Ġlocal ities", + "ĠJes se", + "ĠPl aza", + "ĠUs ing", + "Ġint ense", + "Ġd ancing", + "Ġper pet", + "ĠD ow", + "Ġst ored", + "ĠB ord", + "Ġfort ress", + "Ġ184 4", + "Ġex port", + "193 1", + "found land", + "Ġcomput ers", + "Ġcrit eria", + "Ġb orrow", + "Ġrepeated ly", + "ĠP s", + "ibl ings", + "alt ies", + "ne z", + "ist ent", + "ĠA B", + "re ated", + "Ġsh rub", + "Ġdispl ays", + "ĠS pl", + "L ove", + "Ġdesign ers", + "Ġ1 18", + "Ġswim mers", + "cest ershire", + "ĠOffic ers", + "Ġeng age", + "l ived", + "Ġtele phone", + "ĠRos a", + "Ġren owned", + "ĠVari ous", + "aw s", + "ĠMuseum s", + "ĠAl pha", + "ĠTest ament", + "ĠSac ram", + "Ġport ions", + "Ġimm un", + "pe z", + "Ġinteg ration", + "ĠCh al", + "ĠNob el", + "ĠLeban ese", + "Ġ u", + "ĠWinn ipeg", + "Ġp ir", + "Ġdiv orce", + "Ġpost hum", + "oc he", + "ĠB ody", + "Ġo w", + "Ġcut s", + "Ġequ ation", + "Ġw arri", + "19 28", + "Ġreb els", + "Ġrock et", + "ĠSpring field", + "Ġ183 8", + "Ġlibr aries", + "ĠMc N", + "et es", + "Ġproced ures", + "kins on", + "Ġsurre nder", + "atter y", + "Ġl oyal", + "Ġdi ocese", + "19 27", + "ĠP engu", + "Ġco ffee", + "Ġo v", + "g reen", + "ĠH ack", + "U SA", + "ĠAchie vement", + "c s", + "Ġf isher", + "Ġcl ay", + "ĠP ine", + "G O", + "ĠSil va", + "Ġsim ilarly", + "anc a", + "Ġgener ations", + "Ġlist en", + "Ġfour teen", + "l ore", + "at aka", + "Ġserv ant", + "Ġs weet", + "Ġappl ic", + "Ġindepend ently", + "ĠBC E", + "ĠLouis ville", + "r g", + "Ġfew er", + "ĠL omb", + "ĠBarn es", + "ĠA way", + "ia z", + "Ġw ish", + "c al", + "Ġun ve", + "Ġ15 00", + "ell ers", + "Ġhand ling", + "Ġcr ashed", + "ad al", + "Ġman ages", + "Ġtarget ed", + "Ġkill s", + "unn ers", + "Ġserious ly", + "Ġrec ipients", + "Ġprom ised", + "ay ette", + "unt ary", + "Ġvari ations", + "ĠG row", + "ĠD il", + "Ġcommit ment", + "W in", + "ĠStr ong", + "attal ions", + "ĠParalymp ic", + "Ġw al", + "ĠMat hematics", + "Ġbe am", + "ĠCarl o", + "Ġk ings", + "com p", + "ĠLad ies", + "ĠN in", + "Ġch orus", + "l ic", + "Ġexp atriates", + "Ġmy stery", + "ĠWind sor", + "ĠS isters", + "ĠPubl ishers", + "ĠLe ipzig", + "ĠHol ocaust", + "Ġmoder ate", + "ĠCany on", + "Ġsit uations", + "ĠS D", + "Ġvarian ts", + "Ġadvis or", + "at um", + "Ġor bit", + "ĠD ud", + "ĠIS O", + "ĠJam ie", + "h ops", + "Ġsur prise", + "Bl ack", + "ĠCamer oon", + "Ġhand le", + "Ġceleb rate", + "ĠCl aude", + "Ġprofession als", + "Ġwas n", + "Ġbelief s", + "v ae", + "ĠRoman ized", + "ĠC rystal", + "ĠA ven", + "Ġn est", + "ĠBas in", + "ĠC ros", + "ĠA part", + "Ġel ite", + "ĠBor is", + "Ġunderst ood", + "d istance", + "an ian", + "w ord", + "Ġover l", + "Ġfall en", + "phab et", + "ed e", + "ire ct", + "re a", + "ĠCo hen", + "fort un", + "op rano", + "Ġem pty", + "f fer", + "Ġnational ly", + "Ġp ub", + "ĠC B", + "ĠBol ivia", + "rec ord", + "Ġare na", + "Ġl ights", + "ĠH ood", + "Ġc ir", + "Ġ18 20", + "ĠRos en", + "ĠS uk", + "Ġv in", + "Ġ184 1", + "Ġthreat s", + "ĠInspe ctor", + "ĠV iv", + "Ġdra in", + "ĠLe vel", + "ĠCont in", + "Ġcl ients", + "que z", + "ĠN urs", + "ĠN u", + "ĠKenn y", + "Ġse ized", + "ĠN uclear", + "et ics", + "ĠE du", + "Ġcirc ulation", + "ĠJo el", + "Ġrevolution ary", + "art z", + "Ġdeal ing", + "Ġent ries", + "p arent", + "s ized", + "Ġman ual", + "ĠE ve", + "Ġconf used", + "ĠFerg us", + "Ġst olen", + "ĠMorris on", + "Ġresear cher", + "S te", + "Ġbi ology", + "im an", + "d ing", + "Ġconsult ant", + "ĠMaced onia", + "Ġl iver", + "Ġhoriz ont", + "ĠMin ne", + "ĠUrugu ay", + "ĠEll iott", + "up e", + "ĠJul ius", + "ĠN ico", + "ak k", + "ĠLanc aster", + "am as", + "Ġf irms", + "Ġsever ely", + "Ġsix teen", + "Ġcl ient", + "ĠJ ake", + "19 25", + "ĠM ats", + "ia e", + "Ġ184 3", + "ser ver", + "Ġcan cel", + "ĠVers ion", + "Ġopt im", + "ĠMal colm", + "ĠMad ag", + "Ġtri o", + "viron ments", + "Ġsusp ic", + "Ġup coming", + "Ġadvert is", + "Ġrece iver", + "Ġto ler", + "s ize", + "Ġon wards", + "ĠDe put", + "ĠP ret", + "Ġen roll", + "ĠH IV", + "Ġliter acy", + "Ġh ometown", + "M e", + "a que", + "S I", + "Ġobserv ation", + "Ġun p", + "ph ant", + "Ġbr ings", + "ip her", + "ĠCh oice", + "Ġflo ors", + "Ġsk ill", + "L ondon", + "ĠMur der", + "he y", + "ĠSpe aker", + "Ġm all", + "ĠNew foundland", + "amb a", + "or ient", + "Ġinter face", + "Ġh ole", + "ĠMar co", + "ĠMar tha", + "pr ises", + "ĠF ur", + "ĠUS SR", + "cha ft", + "ĠM s", + "et z", + "ĠTh urs", + "Ġau ction", + "ipl oma", + "ĠV III", + "Ġover lo", + "Ġpun ishment", + "% ),", + "Ġen zyme", + "uls ion", + "ĠShe n", + "ĠS ag", + "ĠKh al", + "Ġlect urer", + "Ġc oc", + "ĠK end", + "ĠW C", + "Ġbe ars", + "ust ers", + "ĠDor othy", + "ri um", + "Ġr ally", + "B ig", + "ĠRe in", + "N P", + "ĠPres idents", + "Ġrad iation", + "Ġw ore", + "ĠBeet les", + "Ġco ord", + "put ed", + "j iang", + "Ġcondu cting", + "Ġsurv ival", + "ograph ies", + "orm al", + "ic i", + "ato es", + "f ootball", + "ĠL ay", + "p ublic", + "Ġaccur ate", + "Ġpre fer", + "Ġcan on", + "ĠBur ke", + "Ġprof it", + "Ġsh ifted", + "ĠHar bour", + "Ġident ification", + "Ġpriv ile", + "uc a", + "ĠB order", + "ĠUnd erg", + "ĠIn stitution", + "Ġ183 6", + "ĠNapole on", + "Ġvolunte er", + "Ġpot entially", + "ĠHein rich", + "Ġmon uments", + "ĠSol o", + "ĠT ow", + "ĠNAT O", + "v iv", + "ĠCar ne", + "ing o", + "he v", + "Ġfollow ers", + "ĠML B", + "ar ag", + "Ġb ord", + "be ck", + "Ġgen es", + "ĠInd oor", + "ĠG em", + "Ġprot agonist", + "s ites", + "Ġhelic opter", + "et i", + "Ġc uisine", + "Ġfind ings", + "ĠArsen al", + "h alf", + "Ġ183 5", + "Ġpra ise", + "ĠV oc", + "Ġex ha", + "Ġsign ature", + "ĠN ass", + "Ġachie vement", + "Ġreal ized", + "yl an", + "ĠLear ning", + "Ġcolon el", + "ĠTasman ia", + "19 26", + "Ġch ronic", + "Ġdoctor ate", + "ĠF en", + "ĠR ica", + "Ġrel atives", + "Ġstream s", + "ĠJane iro", + "ĠBo eing", + "ĠVis ual", + "Ġtow ers", + "Ch rist", + "yl um", + "ĠE ye", + "lin ary", + "ĠM ile", + "19 17", + "ĠP oints", + "am ine", + "Ġm ail", + "Ġunivers al", + "ĠEd win", + "ĠL ines", + "ĠW A", + "ĠAle ks", + "I F", + "ros cop", + "Ġc osm", + "ĠNap les", + "ym ph", + "Ġno ise", + "onom ic", + "Ġport s", + "c ap", + "ĠW eather", + "Ġcre ates", + "ĠGram mar", + "Ġa est", + "ĠMon ument", + "T T", + "h or", + "ĠHeavy weight", + "ĠS earch", + "ĠDay ton", + "im on", + "E n", + "Ġep it", + "ĠS O", + "Ġlight ing", + "Ġw aves", + "ĠWork ing", + "ĠErn st", + "histor ic", + "19 21", + "omot ive", + "ĠF ant", + "ag ne", + "min ton", + "ĠHal ifax", + "ĠNE AT", + "ĠAT P", + "g io", + "ĠW ick", + "ĠStef an", + "Ġflu id", + "Ġenl isted", + "ĠG ul", + "Ġv oyage", + "Ġpre liminary", + "ul ine", + "ol ith", + "ĠIn side", + "os ing", + "pro duction", + "Ġmer c", + "Ġsup press", + "Ġadj ust", + "Ġneighbour ing", + "Ġrequire ment", + "h tt", + "ĠU m", + "19 24", + "Ġh ind", + "19 23", + "Ġscreen writer", + "Euro pe", + "Ġens emble", + "pr int", + "Ġ184 2", + "Ġment ions", + "Ġsepar ation", + "Ġsym met", + "ug a", + "b ey", + "ount ain", + "ĠD id", + "all i", + "ar re", + "Ġ( '", + "sh an", + "ĠL enn", + "ĠChief s", + "ĠBang kok", + "ĠT in", + "Ġpar ishes", + "ĠCraw ford", + "ĠR he", + "ĠMan or", + "Ġcongress ional", + "isc al", + "ĠAdvent ure", + "Ġ183 2", + "clus ive", + "Ġmission ary", + "Ġdecre ase", + "Ġdivor ced", + "Ġgr ants", + "ĠAn alysis", + "K A", + "Ġbar rel", + "rid or", + "ĠDeput ies", + "ĠNS W", + "ĠI BM", + "Ġfarm s", + "ĠFact ory", + "ĠPart icip", + "ĠC yp", + "ĠIs ab", + "Ġheadquarter ed", + "Ġvo ices", + "Ġb are", + "Ġl ie", + "Ġmagn etic", + "Ġant icip", + "rit z", + "Ġcongreg ation", + "Ġn aming", + "id ay", + "ĠG ol", + "ch ron", + "ĠChe ng", + "ĠK oh", + "Ġdevelop er", + "Ġrele asing", + "arch ived", + "ĠDire ctors", + "op hers", + "ĠM ick", + "Ġs unk", + "Ġjournal ism", + "Ġtorped o", + "ian e", + "Ġp ush", + "W orld", + "m ember", + "Ġb icy", + "ĠTheod ore", + "ĠW on", + "ĠAst ron", + "Ġst roke", + "Ġrec ruit", + "Ġo d", + "ĠD iana", + "in ia", + "ae a", + "Ġperson ally", + "c over", + "Ġsoutheast ern", + "ĠC and", + "Ġrain fall", + "ĠMadag ascar", + "Ġmat rix", + "ĠEd ge", + "Ġst eal", + "ĠG ott", + "ĠL ords", + "Ġaud iences", + "ĠStr ateg", + "F rance", + "Ġconsid ering", + "Ġfar mer", + "st age", + "ĠRh ine", + "s ar", + "ĠK ids", + "Ġcons ort", + "Ġdepos its", + "publ ished", + "reg ular", + "Ġline up", + "le igh", + "Ġencoura ge", + "Ġdisappe ared", + "Ġmanuscript s", + "Ġexplos ion", + "Ġpregn ant", + "ĠAr ms", + "ĠBal let", + "Ġhe m", + "re z", + "ri ans", + "ĠBul ld", + "ĠA L", + "Ġinhab ited", + "Ġprest igious", + "az ar", + "pt iles", + "Ġdraw ings", + "Ġs iblings", + "ĠBav aria", + "ĠT ank", + "el ong", + "ĠCol ony", + "ĠMon roe", + "ĠW ings", + "Ġor al", + "ĠD ir", + "ĠUl ster", + "Ġord ained", + "Ġcontest ants", + "ĠP ars", + "ĠHay es", + "Ġex terior", + "ĠSpeed way", + "W ill", + "Ġf ru", + "Ġre venge", + "ĠJul ie", + "Ġanch or", + "Ġdepend ent", + "ĠHous ing", + "Ġqu iet", + "Ġelect ro", + "Ġaut umn", + "d istrict", + "ĠSab ha", + "FF FF", + "ĠChar ter", + "g rand", + "Ġpurs ued", + "um ped", + "Ġcal c", + "ir ie", + "art e", + "ĠBeng ali", + "Ġst ones", + "Ġregist ration", + "Ġt ale", + "ĠRich ards", + "ord inary", + "ĠRab bi", + "B r", + "Ġremember ed", + "man s", + "Ġsuggest ing", + "ĠMahar ashtra", + "v card", + "ĠG av", + "Ġstre ak", + "ĠRecord ings", + "ĠU A", + "es ar", + "ĠB rom", + "Ġshel ter", + "Ġtro uble", + "Ġst aged", + "Ġdram at", + "Ġmix ture", + "ĠSch ol", + "Ġgar rison", + "D E", + "Ġaer ial", + "Ġtrans formed", + "ĠM LA", + "ard e", + "Ġimpro ving", + "y ch", + "Ġrest ore", + "ou rag", + "Ġw ickets", + "Ġupgrad ed", + "Ġden omin", + "ĠN em", + "Ġdest ination", + "Ġmess ages", + "ĠTer ror", + "l ass", + ". ).", + "Ġen able", + "ĠR up", + "ĠAr ctic", + "Ġgu idance", + "F rench", + "Ġab bre", + "Ġc ens", + "all a", + "Ġex chang", + "Ġautom atically", + "ĠO le", + "ĠCommun ication", + "h anded", + "enn ium", + "Ġen abled", + "Ġencounter ed", + "Ġob sc", + "Ġa ster", + "Ġas h", + "ĠAlexand ria", + "P M", + "ern er", + "st ore", + "ĠF BI", + "ĠD atabase", + "Ġwithd rawn", + "ĠM oss", + "Ġinter im", + "ĠSebast ian", + "ast ed", + "or ers", + "ĠGeor ges", + "s ince", + "Ġdub bed", + "Ġcritic ised", + "ĠP ione", + "Ġd anger", + "Ġrecogn ize", + "ĠAnn ie", + "Ġinter mediate", + "Ġconf idence", + "ĠGrad uate", + "ĠKos ovo", + "th ree", + "Ġl aps", + "Ġlob by", + "Ġent ity", + "Ġin sects", + "ĠLog an", + "Ġm igration", + "Ġham let", + "ĠLead ership", + "ĠSte phan", + "Ġalgorith m", + "ĠStre ets", + "pr ing", + "Ġk nee", + "Ġinvest ors", + "Ġsen ators", + "ĠC osm", + "ĠMinne apolis", + "Ġkit chen", + "ĠArchae ological", + "ĠWol ver", + "Ġc otton", + "ĠCD P", + "Ġnation wide", + "il us", + "ĠCh o", + "ĠFl ag", + "rac use", + "Ġl eng", + "ĠL af", + "Ġt ut", + "ĠCon stitutional", + "Ġper former", + "ĠI de", + "ĠBe a", + "Ġpan els", + "Ġbank ing", + "ĠC H", + "Ġr ivals", + "G N", + "ĠV olleyball", + "g overnment", + "ĠCh am", + "ĠProte cted", + "ĠPh arm", + "Ġw reck", + "ĠBe ing", + "Ġdem ocratic", + "mid t", + "ĠSt yle", + "Ġgirl friend", + "let te", + "Ġam munition", + "Ġsp an", + "ĠI N", + "nt on", + "Ġg arn", + "Ġnortheast ern", + "t ico", + "app a", + "ĠMerc ury", + "Ġ{{ |", + "ĠH il", + "ĠCl ara", + "Ġstream ing", + "ĠS ail", + "Ġh ier", + "Ġder iv", + "l is", + "Ġc odes", + "opter a", + "' )", + "Ġ10 2", + "ĠBo hem", + "Ġ10 3", + "Ġshe et", + "Ġjoin s", + "ol ine", + "Ġver te", + "ĠB erm", + "Ġam pl", + "ĠTw in", + "ĠMontene gro", + "Ġvar ied", + "ch urch", + "Ġpract ition", + "Ġclos est", + "ĠY emen", + "Ġsem ifinals", + "ard ed", + "Ġl ung", + "bass adors", + "ur an", + "ĠKn ox", + "ĠPant hers", + "h ad", + "ĠR out", + "imens ions", + "s l", + "ĠFoot notes", + "2 50", + "c ribed", + "ĠPro ducer", + "ĠSte am", + "ĠI TV", + "ĠL ut", + "b oth", + "Ġhon ored", + "ĠVict ory", + "ĠO st", + "Ġpreserv ation", + "Ġmain tains", + "Ġp ink", + "ĠAgre ement", + "Ġsubs pecies", + "s elling", + "ĠGen eration", + "Ġh ung", + "Ġo ct", + "Ġpup ils", + "ĠC it", + "Ġh ub", + "ĠO S", + "ĠReg ulations", + "Ġst ability", + "Ġru ins", + "Ġwe aken", + "gr im", + "Ġconj unction", + "ĠSouth west", + "C ar", + "ĠS it", + "Ġinv ented", + "Ġown s", + "ĠZ en", + "ĠU se", + "Ġp ond", + "Ġball ot", + "ĠAd olf", + "ĠV at", + "Ġcons ent", + "air y", + "ĠAl g", + "ĠMad h", + "im i", + "ĠM BA", + "ĠPorts mouth", + "ĠLeic ester", + "ĠC ool", + "in ite", + "Ġpres idency", + "Ġte a", + "Ġs hed", + "ĠR id", + "ĠL ars", + "ace ous", + "Ġim posed", + "Ġacadem ics", + "ain es", + "ath am", + "ĠBl u", + "fl ies", + "ĠF ast", + "Ġtransport ed", + "ĠT ru", + "Ġsw ord", + "Ġabs ent", + "ĠK ind", + "Ġacc eler", + "ĠJohn ston", + "Ġflower ing", + "Ġterrit orial", + "c ourt", + "it ely", + "Ġafter math", + "ĠMed ieval", + "ink i", + "ĠM ail", + "Ġflood ing", + "y g", + "Ġl ux", + "ĠR um", + "Ġnob ility", + "ĠCle ment", + "Ġinter act", + "ĠTel ugu", + "ier i", + "ch ant", + "Ġlect ures", + "Ġauthor ized", + "Ġc ock", + "ĠH ert", + "Ġre actions", + "art en", + "ĠN iel", + "ĠBes ides", + "Ġmotor cycle", + "Ġreve al", + "han ced", + "Ġest ates", + "Ġcon sec", + "Ġart if", + "w yn", + "Ġmin imal", + "ĠR oh", + "ĠCh ancellor", + "Ġhop ed", + "ĠY osh", + "Ġthe olog", + "ĠRaj a", + "Ġlearn s", + "Ġtop ped", + "ĠS ki", + "por a", + "ĠRec re", + "ĠRaid ers", + "ay ers", + "i ade", + "can ic", + "ĠF oss", + "Ġ14 0", + "Ġb inding", + "Ġen vironments", + "b est", + "ĠB ac", + "Ġfer ry", + "ment ed", + "Ġsequ ences", + "Ġ202 4", + "Ġmult ipl", + "Ġexp anding", + "Ġf ran", + "G P", + "ĠS ara", + "Ġrecon struction", + "ĠKarn ataka", + "Ġhost ing", + "ĠV eh", + "ĠNorth ampton", + "ĠL ob", + "Ġde als", + "ĠWW E", + "ĠD erek", + "Ġro bot", + "ĠK och", + "Ġrom ance", + "Ġal tered", + "Ġent r", + "ĠM ake", + "ĠEmer gency", + "ĠF alk", + "ow der", + "Ġj et", + "ĠUlt imate", + "Ġcl oud", + "ĠTanz ania", + "Ġsymb ols", + "Ar t", + "elect ric", + "Ġstri king", + "is i", + "Ġh az", + "g as", + "Ġs ky", + "Ġdanc ers", + "Ġf atal", + "Ġs in", + "Ġm ast", + "ĠF ont", + "Ġenh ance", + "un al", + "ĠY a", + "ĠTh ames", + "Ġbass ist", + "Ġper mit", + "ot ten", + "Ġdepict ing", + "Ġsudden ly", + "an ing", + "ĠSy racuse", + "Ġmass acre", + "Ġsl avery", + "Ġsh aped", + "Ġacqu ire", + "Ġarch ive", + "Ġconcent rated", + "! ,", + "e u", + "ass ic", + "Ġd uration", + "v ideo", + "Ġread s", + "Ġep id", + "at as", + "Ġmer ely", + "ĠS ister", + "Ġper m", + "Ġdel ay", + "Ġsurre nd", + "m ons", + "Ġpriv ately", + "ĠJ orge", + "B rit", + "ĠGar ca", + "Ġmut ual", + "Ġaver aged", + "Ġdist urb", + "ĠN one", + "ĠSuper ior", + "Ġf rog", + "r ina", + "rest rial", + "ĠSem inary", + "flu ence", + "ĠSuff olk", + "uv ian", + "ĠAut om", + "Ġdeep ly", + "Ġwa it", + "ĠCoal ition", + "ĠB ren", + "field s", + "ne um", + "ĠRet rieved", + "ĠC i", + "Ġmus cle", + "ĠW aters", + "ĠChem istry", + "Ġfem inist", + "ĠR as", + "id an", + "ĠDou bles", + "as ium", + "ĠBel le", + "ĠL it", + "Ġcab in", + "ĠChar leston", + "ĠWal sh", + "Ġinter actions", + "ĠR oth", + "ĠGre ene", + "Ġreleg ation", + "Ġp icks", + "Ġdoub t", + "ĠQ atar", + "Ġtre as", + "ĠS F", + "w alk", + "oc ity", + "ĠM ikh", + "ak o", + "em i", + "Ġsm art", + "ĠPap ua", + "ĠBet ty", + "ĠM ant", + "Ġmilit ia", + "ĠE y", + "Ġtheore m", + "ĠC ul", + "stro ke", + "Ġacknowled ged", + "ĠPro s", + "Ġeng ra", + "ĠAg u", + "ighth ouse", + "ĠPro cess", + "Ġmonitor ing", + "Ġpod cast", + "ĠS ard", + "ĠDod gers", + "in is", + "Ġmet ab", + "Ġcreat or", + "if iers", + "abl o", + "w en", + "h as", + "Ġtrav elling", + "T o", + "Ġhand ball", + "ĠBrown s", + "Ġsouth western", + "ĠBrun o", + "Ġ10 4", + "Ġfair ly", + "ĠB ene", + "ĠC airo", + "ver ted", + "Ġemer ging", + "th ouse", + "Ġpol o", + "en ic", + "ĠIn st", + "ĠIn iti", + "Ġguitar ists", + "Ġcust omer", + "ĠS ib", + "Ġd ors", + "ĠMe yer", + "ĠSof ia", + "ĠW r", + "Ġind eed", + "k m", + "ĠL al", + "op ing", + "ĠCount ies", + "Ġcomp act", + "Ġra pe", + "ĠLat via", + "utt le", + "ĠA u", + "at ro", + "ĠGl ac", + "ĠBre nd", + "au f", + "igg s", + "ĠWednes day", + "Ġfinal e", + "ĠS ind", + "pent er", + "Ġar bit", + "d em", + "im ony", + "ĠR C", + "ĠAltern ative", + "Ġcons ensus", + "Ġfa ction", + "ĠH ydro", + "ĠD ate", + "j ud", + "er os", + "ĠRober to", + "W C", + "ĠRe ver", + "Ġhead ing", + "M al", + "ĠTh ings", + "Ġmission aries", + "Ġrebu ild", + "er ic", + "ĠY uan", + "Ġtop ic", + "ĠDra ke", + "it ory", + "ĠIn teg", + "ĠEnter prise", + "ĠNew man", + "ĠN ed", + "head ed", + "ĠFor bes", + "ur ai", + "Ġcul min", + "inn ed", + "Ġ10 6", + "ĠRock y", + "velop ed", + "Ġtransl ator", + "Ġshe ep", + "Ġpersonal ities", + "wa it", + "ĠBundes liga", + "ĠY ar", + "Ġvin yl", + "Ġsup porter", + "r ud", + "ill ance", + "Ġfor b", + "Ġd ock", + "ble m", + "ĠF resh", + "Ġin clusion", + "ĠLyn ch", + "en ess", + "ĠD awn", + "w ind", + "ĠSh an", + "Ġattra ction", + "Ġvari eties", + "Ġcondem ned", + "Ġpre y", + "ĠGriff ith", + "ĠMoh ammad", + "oc es", + "Ġfe els", + "Ġthe ology", + "ro up", + "ĠSen ators", + "Ġst ick", + "g ae", + "ĠBuddh ism", + "Ġv ital", + "ra k", + "ĠWill ie", + "d imensional", + "Ġsc ar", + "19 16", + "ĠT H", + "Ġfurn iture", + "oph on", + "Ġcar ved", + "ĠBas el", + "R oman", + "Ġb read", + "Ġthe or", + "Ġpr ayer", + "o ine", + "S E", + "al us", + "Ġun em", + "Ġinaug urated", + "ĠSh i", + "Ġbatt ing", + "p ath", + "ĠQu in", + "om ical", + "b ad", + "Ġexpl oration", + "ĠB agh", + "ĠPro gress", + "Ġch lor", + "ĠN orton", + "Ġmom ents", + "oc y", + "Ġdev ast", + "Ġb ore", + "W hen", + "Ġfl ora", + "ĠT C", + "ile e", + "ĠSound track", + "N orth", + "ĠH appy", + "Ġbe aring", + "Ġhapp en", + "Ġtra ff", + "Ġshould er", + "J ew", + "idel ines", + "Ġstory line", + "Ġp ump", + "Ġsac rif", + "ĠChron icle", + "Ġrecept or", + "ĠIndust ries", + "pol it", + "un ted", + "os ystem", + "Ġren ovation", + "omin ated", + "Aust ral", + "Ġh ull", + "Ġcirc ular", + "ab ul", + "um en", + "Ġcompens ation", + "Ġshall ow", + "en ary", + "Ġassass ination", + "ĠBl air", + "Ġmans ion", + "ĠC ock", + "ĠB ishops", + "ĠSupport ing", + "oc ate", + "Ġ183 4", + "hold er", + "pl ane", + "Ġproceed ed", + "ĠInd o", + "Ġhur ricane", + "g ender", + "Ġpar as", + "s an", + "Ġcolle cting", + "ĠM are", + "Ġcr im", + "Ġac claim", + "ĠRaf ael", + "Ġcons piracy", + "ĠLank an", + "ĠL ing", + "ĠVenezuel an", + "ĠSax ony", + "ĠCub s", + "any a", + "he art", + "ĠGu est", + "Ġhydro gen", + "The re", + "SC O", + "Ġbox er", + "ĠHer oes", + "ĠG raph", + "Ġr idge", + "c ur", + "ĠFrances co", + "Ġdis orders", + "ro b", + "est e", + "Ġf ate", + "ĠIm pro", + "Ġ ic", + "pe i", + "Ġback ed", + "cles iast", + "is ers", + "Ġscreen play", + "Ġinterpre ted", + "Ġpract iced", + "Ġc anton", + "ĠJosh ua", + "F ran", + "Ġhom osexual", + "10 2", + "che m", + "an or", + "ell ar", + "ĠBra ves", + "Ġkill er", + "Ġ3 60", + "Ġgod dess", + "ĠAberde en", + "Ġexpl ore", + "Ġv aries", + "Ġstri kes", + "ĠId ent", + "ĠAtl tico", + "ĠMunicipal ities", + "Ġreg iments", + "ĠD ylan", + "Ġcol ours", + "ĠRed s", + "v ie", + "ĠSol ar", + "Ġover w", + "Ġpros per", + "Ġal gebra", + "fl ix", + "Ġapp rent", + "Ġd ying", + "19 12", + "Ġl ig", + "Ġw are", + "ĠSub sequently", + "ĠIns urance", + "Ġf ires", + "Ġd iamond", + "Ġcl othes", + "r one", + "Ġs ulf", + "od on", + "ĠW ander", + "Ġcycl ing", + "ĠGuatem ala", + "Ġconfig uration", + "ik ing", + "Ġconf irm", + "Ġmed all", + "ĠH ok", + "Ġweb sites", + "iv ate", + "Ġpred ict", + "ct ica", + "ond a", + "ĠBi ology", + "ĠDe pression", + "Ġteam mate", + "Ġsail ors", + "ĠT ul", + "ĠB ast", + "ĠCre ative", + "p resident", + "ĠPatric ia", + "m art", + "Ġpropos als", + "19 15", + "Ġpubl ish", + "ĠSc ulpt", + "Ġl ord", + "Ġaut hent", + "ant es", + "z el", + "ĠH C", + "ĠPal omar", + "ĠDem ocracy", + "ĠKy iv", + "Ġnickn amed", + "ĠSacram ento", + "ĠS E", + "ĠE up", + "Ġcopy right", + "ĠMos es", + "Ġterror ist", + ". -", + "ĠArchite ct", + "Ġbankrupt cy", + "Ġz ones", + "ĠT ask", + "ĠRe b", + "ĠBald win", + "Ġstat istical", + "Ġwatch ing", + "A ng", + "Ġquant um", + "ĠB in", + "Ġphenomen on", + "ĠSwim ming", + "Ġsubd ivision", + "ĠApoll o", + "Ġrefer ee", + "os c", + "L E", + "Ġmathematic ian", + "Ġsen ator", + "Ġoccur ring", + "orce ster", + "Ġpost pon", + "Ġsole ly", + "ĠC ategory", + "Ġninet eenth", + "P ort", + "Ġman or", + "Ġm arri", + "ĠMore over", + "ik er", + "Ġburn ing", + "Ġre ass", + "ĠD re", + "ĠTro y", + "ir s", + "ĠB attery", + "Ġlar vae", + "Ġv ector", + "Ġprec ip", + "S F", + "Ġfavour ite", + "ĠSm art", + "ag le", + "Ġgener ate", + "Ġcur riculum", + "Ġstrugg led", + "av id", + "ĠFel ix", + "ard ment", + "d aughter", + "ers h", + "ĠV ish", + "19 10", + "Ġlay ers", + "com es", + "Ġut ility", + "ĠExcell ence", + "it ative", + "u o", + "ĠLoc ated", + "ĠP red", + "Ġexp elled", + "Ġcount ed", + "ri o", + "ĠAut o", + "Ġtrans formation", + "Ġveget ation", + "ĠI st", + "Ġobserv ations", + "ik es", + "Ġaccord ance", + "ĠC ash", + "S ec", + "Ġrival ry", + "Ġarm ies", + "ĠBalt ic", + "ĠSett lement", + "ĠFu j", + "ĠDen is", + "R E", + "e i", + "Ġbroad caster", + "Ġ16 0", + "et al", + "Ġbacter ia", + "Ġtrib al", + "ĠK ul", + "p ic", + "n ie", + "un ar", + "Ġmark ing", + "Ġport raits", + "Ġth orough", + "so le", + "Ġatt itude", + "Ġcomm anding", + "Ġrun way", + "Ġmar sh", + "ĠD rew", + "em por", + "... ]", + "Ġp aying", + "ĠY uk", + "ĠBrand on", + "Ġint ens", + "ro at", + "Ġgovern ed", + "Ġby pass", + "ĠV ick", + "ĠAssoci ate", + "l ar", + "ĠCong reg", + "Ġstr ings", + "ĠSim ilarly", + "Ġhop es", + "Ġmy sterious", + "ĠF o", + "Ġhealth care", + "Ġinteg ral", + "ĠChar acter", + "ĠG ospel", + "c ot", + "Ġbal let", + "Ġpartic les", + "ĠCarne gie", + "ĠX box", + "an an", + "ĠM ilit", + "ĠCam pe", + "y ou", + "Ġcollaps ed", + "ĠRo le", + "sc reen", + "D T", + "Ġmagn itude", + "Ġspec ified", + "ĠS ugar", + "on te", + "Ġhand led", + "p ie", + "ĠB uk", + "ĠF iji", + "Ġair ing", + "ĠU TC", + "Ġprompt ed", + "ĠCl aire", + "ĠThurs day", + "Ġd ella", + "ĠQu int", + "ĠSport ing", + "z an", + "ĠCan cer", + "Ġdraw s", + "Ġt ables", + "Ġeas ier", + "Ġsec ular", + "amp ire", + "ĠK ok", + "Ġconsequ ences", + "ov es", + "ĠW ong", + "ĠProv idence", + "Ġg astrop", + "Ġint ensity", + "it he", + "Ġmos que", + "and i", + "ĠChurch ill", + "ĠTr uth", + "ia k", + "mar ine", + "Ġc raf", + "ĠW id", + "ĠEl is", + "Ġassign ment", + "Ġhe ct", + "Ġwithdraw al", + "ĠSumm it", + "Ġsk ull", + "C O", + "Ġd ish", + "Ġqu oted", + "ĠMar ines", + "Ġmet re", + "ah i", + "Ġdep icts", + "Ġn erv", + "Ġtalk ing", + "Ġblock ed", + "Ġwhe els", + "ĠBer ry", + "ĠNe ed", + "Ġ183 3", + "ace utical", + "f s", + "van ces", + "Ġdecre ased", + "i ated", + "Ġless ons", + "erm o", + "Ġsurf aces", + "Ġoccas ional", + "ĠP omer", + "ch us", + "rag on", + "ĠE ty", + "ide a", + "ĠWin ston", + "Ġstrong er", + "Ġuncle ar", + "Ġcle ared", + "Ġbene ath", + "ten ham", + "Ġspec imen", + "Ġth rown", + "Ġcent ered", + "Ġimpress ive", + "Ġpro sec", + "Ġgrand mother", + "Ġserv ants", + "Ġter rain", + "Ġhabit ats", + "mer c", + "ĠGre ens", + "Ġs a", + "rit ic", + "Ġregard less", + "ĠGreat est", + "ch ar", + "Ġcorpor ation", + "Ġre ject", + "ĠKer ry", + "mark et", + "ĠVern on", + "Ġassemb led", + "19 13", + "j un", + "Ġland sc", + "ott a", + "ĠGriff in", + "ĠD art", + "Ġb apt", + "ge ons", + "Ġrem n", + "Ġfilm maker", + "w al", + "em ann", + "ĠU P", + "19 00", + "M T", + "ĠVi ol", + "Ġinterview ed", + "oy alty", + "n is", + "j ust", + "ĠPer uvian", + "ac ular", + "Ġrenov ated", + "ĠSh am", + "y u", + "ĠW orcester", + "ĠR BI", + "Ġp ounds", + "Ġed iting", + "D o", + "f old", + "Ġ3 50", + "ĠUz bek", + "ĠW is", + "Ġp ace", + "her ic", + "ĠEx tra", + "ĠJackson ville", + "ĠAppe als", + "to ok", + "og ical", + "Ġsocial ist", + "Ġtack le", + "ĠH its", + "se at", + "Ġess ays", + "ĠAr ist", + "Ġpl ed", + "ĠOri ental", + "Ġhe ter", + "Ġsur geon", + "ĠCow boys", + "Ġph on", + "ĠAct ing", + "ĠGar cia", + "ĠBro ck", + "gro up", + "7 00", + "Ġimp ressed", + "as is", + "con ne", + "if a", + "ĠFI BA", + "ĠPubl ished", + "ĠSac red", + "Ġsur pass", + "ĠSc ots", + "ĠKrish na", + "ip edia", + "Ġprepar ing", + "Ġadopt ion", + "olog ne", + "or ian", + "ĠR andy", + "Ġ17 75", + "ĠC inem", + "Ġlit erally", + "Ġcontin ental", + "Ġstret ch", + "Ġgen res", + "Ġhigh ways", + ") -", + "i ol", + "en ian", + "ĠTe en", + "Ġdyn amic", + "Ġcap abilities", + "oc o", + "ap o", + "Ġpromot ional", + "Ġworks hops", + "east ern", + "Ġw ound", + "ĠH ut", + "ros se", + "ĠS tern", + "Ġc rypt", + "ĠB ih", + "ĠSouth ampton", + "ĠNorth western", + "ĠK ick", + "ĠD ul", + "Ġle ase", + "ĠD ry", + "commun ications", + "ter a", + "Ġrev ived", + "ĠE yes", + "Ġp in", + "ĠSal em", + "Ġsp ir", + "Ġvary ing", + "ĠW ord", + "Ġ18 15", + "an z", + "Ġr ational", + "ĠMid lands", + "ĠS K", + "ĠC ave", + "Ġten or", + "Ġunex pected", + "arch ive", + "ĠB ridges", + "ĠBul let", + "Ġnorth western", + "Ġdevelop ers", + "ĠP itt", + "ĠDyn asty", + "Ġmot if", + "ĠG ross", + "Ġfl own", + "ĠFer ry", + "Ġkn ows", + "Ġinvestig ated", + "Ġsubmar ines", + "ĠJess ica", + "ĠS H", + "ep pe", + "P aul", + "Ġt ent", + "Ġhar ass", + "e ur", + "Ġsc hem", + "Ġpurs uit", + "Ġreserv oir", + "ĠAd ult", + "ĠMax well", + "ĠHerman n", + "ĠD ag", + "Ġtheore tical", + "v ian", + "ĠR ao", + "C omm", + "Ġproper ly", + "ĠFl ash", + "ĠNov el", + "ĠOl iv", + "igg ins", + "ĠProgram me", + "Ġconstant ly", + "clos ure", + "Ġfre ed", + "ĠR ules", + "ĠG astrop", + "Ġgather ing", + "ĠEP s", + "ĠGr ass", + "Ġrail ways", + "Ġ10 7", + "cl ub", + "Ġconf ron", + "Ġ183 1", + "f red", + "ĠLaw s", + "sh aw", + "Ġsac red", + "ĠCor on", + "ĠUC I", + "ĠS V", + "ĠV all", + "ĠH ave", + "se ct", + "Ġl ip", + "Ġtri ps", + "ĠVisc ount", + "ĠY ok", + "s burg", + "Ġcomp anion", + "amb o", + "ĠTit le", + "Ġdisp ers", + "Ġmeas uring", + "ĠM iy", + "ĠLa ur", + "arth y", + "f b", + "own er", + "ĠJ ets", + "ĠPr ussia", + "Ġal umin", + "Ġbe er", + "ĠHaw ks", + "ĠH ang", + "h ouses", + "Ġacc us", + "ĠComp ut", + "Ġ- -", + "Ġanth ology", + "ĠK od", + "ĠM oll", + "Ġdistingu ish", + "ĠK ob", + "W F", + "Ġboard ing", + "Ġrot ation", + "Ġconvers ation", + "Ġm ad", + "Ġp ig", + "ĠC over", + "Ġcust ody", + "Ġunve iled", + "Ġc od", + "iform es", + "ĠWh y", + "in ology", + "olog ically", + "Ġinvestig ations", + "ĠMoh ammed", + "ĠSant o", + "ĠC ay", + "R ep", + "ĠJ ob", + "ĠMalay alam", + "Ġ2018 19", + "Ġdo zen", + "Ġkilomet res", + "stru cted", + "whe el", + "Ġfe es", + "ce ae", + "Ġall ocated", + "ĠJeff rey", + "ĠM oor", + "ĠM amm", + "ĠJud a", + "ĠW ant", + "j ani", + "Ġcust oms", + "ĠRh y", + "ĠLe y", + "Ġproceed ings", + "ĠBulld ogs", + "bra him", + "ĠWeb b", + "ĠN ig", + "ĠK ane", + "ĠSim ilar", + "ĠQual ifying", + "Ġl ying", + "Ġwild life", + "Ġgame play", + "ĠOs aka", + "Ġed ges", + "ĠThom son", + "Ph il", + "cl iffe", + "ĠDub ai", + "Ġcomp rom", + "Ġ0 1", + "ĠDrag ons", + "Ġwat ched", + "agre b", + "cl air", + "Ġbul k", + "hard t", + "Ġg rain", + "ĠN um", + "Ġh itting", + "Ġrel uct", + "ĠZ ion", + "W R", + "Ġs its", + "ĠNam ib", + "ĠTim othy", + "en za", + "Ġinvol ve", + "ffbb bb", + "ĠMes a", + "Ġconsequ ence", + "Ġmat hematical", + "Ġcontest ant", + "Ġref uses", + "Ġm isc", + "ĠCast ro", + "s ay", + "Ġd iving", + "ĠNet flix", + "un i", + "ĠH i", + "Ġconqu est", + "ĠH ast", + "Ġly ric", + "Ġend angered", + "ir ical", + "ur ities", + "ues day", + "n u", + "ĠPhil harm", + "st en", + "al an", + "Ġdiscip line", + "habilit ation", + "Ġmo ist", + "ĠW ilm", + "Ġbre ed", + "Ġinstru ctions", + "Ġfavor able", + "ĠAtl as", + "Ġcommission er", + "Ġbox ers", + "Ġwe igh", + "Ġconv oy", + "ri que", + "Ġconsid ers", + "Ġdis abled", + "ĠJ as", + "Ġoppos ing", + "ĠChap man", + "ĠMichel le", + "ĠWe i", + "k el", + "Ġrec urring", + "ĠLis bon", + "ĠCase y", + "ad ia", + "her d", + "Ġst rat", + "Ġvic inity", + "ron ics", + "Ġup set", + "ĠCec il", + "R O", + "ĠN ou", + "Ġactiv ated", + "ari at", + "Ġcycl ists", + "ant o", + "atern al", + "Ġeduc ators", + "ĠSand y", + "ĠArchite cts", + "ĠT ah", + "ĠG ates", + "ĠHard y", + "ĠSh im", + "c ourse", + "act ers", + "Ġlegend ary", + "ĠR ost", + "Ġaccompl ished", + "Ġinstru ctor", + "Ġm i", + "Ġmin im", + "Ġcon ce", + "P art", + "ĠBu ilt", + "L O", + "ne ver", + "ĠS erg", + "w ill", + "fol io", + "Ġfl av", + "omet ime", + "ĠBar oque", + "Ġmechan isms", + "ĠTe legraph", + "Ġar ray", + "e per", + "Ġround ed", + "Ġcam eras", + "Ġup ris", + "Ġsl opes", + "Ġstep ped", + "ĠT ell", + "ĠMer ced", + "ĠR oland", + "Ġland mark", + "ĠStru cture", + "ro ft", + "io let", + "Ġtro ubl", + "Ġdis agre", + "ĠMot ion", + "Ġenc ourag", + "Ġdoct rine", + "clesiast ical", + "ĠP owers", + "ĠP ablo", + "Ġdeleg ation", + "ĠR ip", + "ĠFound ed", + "Ġam id", + "ĠA ce", + "b red", + "Ġpol ar", + "og l", + "Ġlim estone", + "ĠAl berto", + "ĠMarsh al", + "Ġc ub", + "ĠConc ord", + "Ġt et", + "Ġadv ised", + "ĠMong ol", + "play er", + "ĠL und", + "re cht", + "Ġpoor ly", + "ĠC ell", + "Ġcoll ision", + "Ġrank ings", + "ĠEmir ates", + "keep ers", + "Ġ18 25", + "P er", + "Ġ ion", + "Ġsit com", + "agon al", + "p el", + "gen eral", + "Ġabsol ute", + "ĠL arge", + "oph yll", + "ĠActress es", + "Q ue", + "Ġse al", + "ĠSene gal", + "il ogy", + "Ġmar ble", + "d ays", + "um ph", + "Ġcomm ittees", + "ĠUnivers iade", + "ĠF ri", + "ĠP ain", + "Ġgod s", + "Ġcur rency", + "ĠSher man", + "di ocese", + "ate ver", + "ott age", + "n ian", + "Ġj ack", + "abl ing", + "role um", + "ĠT oul", + "ĠPh oto", + "ĠS v", + "Ġc rack", + "ĠV ander", + "ĠSe eds", + "Ġre join", + "ĠLet ter", + "place ment", + "S D", + "Ġaut onomous", + "ass is", + "f ried", + "19 11", + "Ġh ol", + "Ġabsor bed", + "ĠStat istical", + "Ġdiscuss ions", + "ĠT aj", + "Ġab ortion", + "d ep", + "ĠR ally", + "ĠE ra", + "L ou", + "h orse", + "ĠIn ternal", + "ĠAct s", + "Ġpast or", + "Ġbow l", + "ĠQu artet", + "ĠLeop old", + "ĠInc umbent", + "ĠCal d", + "Ġex empt", + "ust ain", + "ant om", + "ĠOrig in", + "ĠSc and", + "ĠH undred", + "as aki", + "heim er", + "ĠRe be", + "ĠJan et", + "Ġsepar ately", + "Ġmon ks", + "Ġ18 14", + "Ġb attalions", + "w ings", + "Ġmanif est", + "ĠGeoff rey", + "ĠB oh", + "ĠTreas ury", + "ĠTre k", + "Ġcur ve", + "Ġagre ements", + "ĠI A", + "ĠFre eman", + "ĠT i", + "Ġn ose", + "G o", + "st ones", + "Ġsuburb s", + "Ġlog ic", + "Ġtrump et", + "as se", + "ĠP ole", + "ĠEty mology", + "ĠL ub", + "ĠNe gro", + "Ġw ake", + "Ġsuperv ision", + "ĠW er", + "ot al", + "ĠZ agreb", + "ĠJ iang", + "orient ed", + "ĠS uccess", + "Ġstrateg ies", + "Ġquestion ed", + "ast on", + "ĠFl oyd", + "ĠHam pton", + "Ġacc idents", + "ĠBad en", + "Ġundert aken", + "ĠH ank", + "Ġsk ating", + "Ġdirect ing", + "ĠK ras", + "ĠCatal ina", + "ĠS ales", + "am oto", + "Ġopt ical", + "on o", + "ĠI D", + "Ġcompris ed", + "Ġab stract", + "ĠCole man", + "ĠCom position", + "D ay", + "N R", + "ĠObserv atory", + "Ġob st", + "ĠPre mi", + "Ġhighlight ed", + "ym es", + "Ġproport ion", + "ar ance", + "j ee", + "ĠMarri age", + "Ġmater nal", + "rell a", + "Ġsustain able", + "ĠSch l", + "otyp es", + "ĠUnderg round", + "Ġvulner able", + "ĠMort on", + "erv ille", + "Ġfac ade", + "ĠRes ident", + "Ġcat aly", + "ĠD up", + "Ġjoint ly", + "inn aeus", + "mod ern", + "ĠPer iod", + "Ġrep airs", + "ĠCandid ates", + "ĠT ian", + "ĠPot ter", + "ĠComm od", + "art ime", + "ĠE rik", + "ik k", + "Ġprohib ited", + "Ġguar ant", + "Ġbad ly", + "ĠTunis ia", + "S L", + "Ġprem ises", + "ĠF let", + "ĠSt op", + "at u", + "Ġm ild", + "ĠD ock", + "ĠL uk", + "act or", + "Ġdef ine", + "Ġrul ers", + "ĠTaiwan ese", + "ĠBoy d", + "Ġequ ally", + "on ing", + "Ġconf usion", + "ĠGovern ors", + "at z", + "Ġs id", + "Ġleg ally", + "ĠIm age", + "im ity", + "Ġdist ant", + "oura ble", + "ĠG iven", + "ĠR CA", + "ĠE b", + "ĠCamb odia", + "ĠFergus on", + "Ġdiagn osed", + "Ġmanufact ure", + "op y", + "Ġconsid eration", + "ok i", + "ĠCom ic", + "z burg", + "Ġtw entieth", + "er ick", + "Ġeth n", + "ĠAud io", + "Ġest imates", + "Ġillust rations", + "ĠW an", + "al ore", + "ĠPatri ots", + "qu is", + "Ġcon g", + "Ġbatter ies", + "end e", + "Ġtour ists", + "Ġant ib", + "ĠUC LA", + "ĠPo ems", + "ĠGu adal", + "Ġun e", + "are z", + "ĠCitiz ens", + "ll i", + "Ġtr igg", + "ĠTerm inal", + "ĠH utch", + "ĠC ret", + "Ġin ches", + "ĠHels inki", + "ĠG ut", + "ĠA G", + "Ġal phabet", + "ĠManufact uring", + "Ġvol t", + "sh ot", + "f i", + "et hel", + "ag ogue", + "Ġ2017 18", + "Ġhorizont al", + "ra z", + "ĠJ ah", + "Ġn urse", + "ĠCzechoslovak ia", + "Ġreb el", + "ĠChar acters", + "Ġcruc ial", + "power ed", + "Ġhum or", + "utt gart", + "k l", + "Ġpre val", + "M ad", + "Ġcon ve", + "Ġ10 8", + "15 0", + "am ar", + "ĠIn sects", + "rib e", + "Ġintro duce", + "Ġdec ree", + "ĠM und", + "th al", + "Ġun con", + "im ar", + "ell es", + "Ġn an", + "ĠTrib une", + "ĠBo at", + "Ġpropag anda", + "ĠP M", + "ĠBox ing", + "rew s", + "ĠFeat ure", + "ĠS leep", + "ĠU NE", + "ĠC IA", + "ĠAssoci ated", + "ĠZ ar", + "ĠGonz lez", + "Ġexhib its", + "Ġm a", + "ĠSid ney", + "Ġnational ist", + "Ġprob ability", + "Ġadv ocated", + "ĠM iz", + "ĠC ult", + "Ġout come", + "Ġ10 9", + "row span", + "Ġcrown ed", + "ĠL ima", + "Ġvac ant", + "ĠGard ner", + "Ġauth ored", + "ĠMikh ail", + "cc ffcc", + "ĠConc erto", + "Ġlov ed", + "Ġev ident", + "orm s", + "Ġ18 28", + "Ġg amb", + "ĠEuro pa", + "s up", + "ĠN ames", + "ĠK C", + "ĠAlexand ra", + "ĠRebe cca", + "d ad", + "ĠParad ise", + "ĠKle in", + "ĠS uns", + "ĠK ai", + "ĠMad onna", + "Ġoverw hel", + "Ġn avy", + "ĠJ ourney", + "ĠSic ily", + "Ġrev ision", + "Ġrecre ational", + "ĠCont rovers", + "ĠY as", + "ĠH ew", + "Ġagre es", + "rit ion", + "Ġep ic", + "Ġpoll ution", + "Ġrecon c", + "Ġbra ck", + "ĠAv iv", + "elf th", + "ĠAl leg", + "ĠM ys", + "Ġh ide", + "ĠT yr", + "merc ially", + "ĠL iz", + "led on", + "Ġeight een", + "Ġoff ense", + "Ġo ak", + "w omen", + "ĠWik ipedia", + "aff e", + "Ġ9 00", + "ĠVolunte er", + "Ġher b", + "ĠPr ide", + "ĠH uss", + "Ġmamm als", + "ĠDar win", + "ĠHum ph", + "iat us", + "n ov", + "udd in", + "Ġ18 10", + "lo o", + "Ġpred icted", + "ĠMar athon", + "ĠR oma", + "ann ah", + "Ne ill", + "is se", + "Ġdr ives", + "Ġco ok", + "ĠMon ter", + "Ġ[ ...]", + "ĠPsych ology", + "ĠPhilip pe", + "arg est", + "ĠG ius", + "A D", + "and an", + "Ġknock out", + "op us", + "Ġdes ired", + "Ġpen insula", + "ansk rit", + "fic ial", + "on ato", + "Ġsc orer", + "ĠLe one", + "Ġmem oir", + "p ot", + "Ġw ww", + "ion ed", + "Ġmat ure", + "op l", + "ph ys", + "Japan ese", + "Ġd imensions", + "ĠEast er", + "Ġsub family", + "ĠB io", + "cl ip", + "ĠAntar ctica", + "est ock", + "ĠLo ok", + "Ġpay ments", + "ĠHe y", + "ĠMay a", + "ĠH yp", + "Ġb ills", + "ĠS I", + "Ġbar on", + "Ġcl erk", + "ĠCon fl", + "iling ual", + "Ġspect rum", + "ath lon", + "H O", + "et ter", + "ĠZ ero", + "ĠBel t", + "Ġf ights", + "Ġap olog", + "ĠC risis", + "Ġphysic ist", + "p res", + "Ġorient ation", + "vi ated", + "Ġun w", + "Ġra w", + "Ġbas ement", + "ĠCat alog", + "ĠSt rike", + "ĠCl oud", + "Ġphys ically", + "s ix", + "Ġreserv ed", + "ĠBe au", + "Ġprom ise", + "ĠSl am", + "ent on", + "ĠB ess", + "ĠAppl ied", + "ĠD uchy", + "ĠAlger ian", + "ĠL anguages", + "establ ished", + "Ġb ag", + "ĠCap t", + "m ag", + "ĠR iley", + "Ġinnov ative", + "Ġdeleg ates", + "Ġdeter ior", + "ov ed", + "Ġac claimed", + "Ġsn ake", + "ĠJen kins", + "ĠH ip", + "Ġdisapp oint", + "R ed", + "ĠM ini", + "Ġtr im", + "ĠM ast", + "T ur", + "Ġreop ened", + "ĠS ikh", + "ĠHam mer", + "ĠSt ring", + "Ġvirt ually", + "ĠH ul", + "Ġsc attered", + "ĠBelarus ian", + "Ġbo ost", + "ĠH our", + "ĠRo x", + "ian i", + "Ġaccident ally", + "ĠChen nai", + "ĠPr int", + "T r", + "Ġfe eding", + "Ġad equ", + "ig raph", + "ĠDeuts che", + "ep s", + "Ġf ract", + "Ġde ceased", + "Ġperform s", + "ĠMy stery", + "ĠT ucker", + "u en", + "ĠD ial", + "in ks", + "it ated", + "ĠR ash", + "Ġfacilit ate", + "Ġro okie", + "Ġhot els", + "if inal", + "Ġarg uing", + "ĠPri est", + "ĠPr ussian", + "Ġfl ute", + "Ġdep ot", + "Ġbul let", + "p he", + "Ġemb arked", + "ĠM ih", + "ĠDe port", + "Ġr ushing", + "ĠW ins", + "ĠMad ras", + "ĠY i", + "ĠDet ective", + "Ġcount s", + "arri e", + "Ġh oles", + "Ġbr ut", + "Ġcerem onies", + "ar b", + "ĠW en", + "ĠAcadem ics", + "Ġl ac", + "ĠD res", + "Ġant iqu", + "R ussian", + "e er", + "ĠR NA", + "Ġiniti atives", + "Ġd ent", + "w ana", + "ĠL pez", + "Ġsw ing", + "ĠEpis odes", + "Ġ18 24", + "Ġd inner", + "ĠConf ederation", + "Ġaccess ed", + "T E", + "ĠCon rad", + "Ġo re", + "ĠV ocal", + "ĠEv olution", + "Ġe ating", + "ĠC otton", + "Ġremov ing", + "ĠV y", + "Ġox id", + "P al", + "ĠConstantin ople", + "ĠB ash", + "ĠN om", + "Ġto b", + "Ġmedal ist", + "Ġ11 5", + "ĠB le", + "Ġrespons ibilities", + "ĠAsh ley", + "Ġinter ven", + "ort e", + "Ġpar ad", + "ĠFull er", + "ĠAfter math", + "ĠTol edo", + "Ġst int", + "Ġsim ul", + "ĠM its", + "ĠD uk", + "fortun ately", + "ip el", + "Ġatt ribut", + "ĠN un", + "Ġlin er", + "Ġneigh b", + "is or", + "ĠAnim ation", + "ĠBe auty", + "om al", + "Ġb ones", + "ĠLiber t", + "ĠField s", + "ĠJ ub", + "ĠMid land", + "ĠK ais", + "h ow", + "ĠPl ain", + "p i", + "uc ci", + "Ġflag ship", + "ue b", + "Ġest imate", + "at ur", + "Ġinn ovation", + "Ġspons orship", + "U p", + "Ġmemb rane", + "ĠPh yll", + "ĠD ixon", + "g s", + "aw k", + "t ailed", + "Ġem igrated", + "ĠCh amp", + "Ġcl uster", + "Ġqu arters", + "Ġf inger", + "ĠD ors", + "Ġmarg inal", + "t re", + "ĠF ashion", + "Ġs aint", + "Ġspons or", + "ĠM ell", + "com be", + "Ġaccompany ing", + "Ġtrain er", + "Ġarg ue", + "Ġ18 29", + "ĠM VP", + "Ġs ab", + "sh ine", + "Ġaut o", + "ĠF ear", + "ĠPer cy", + "Ġp ine", + "Ġr ider", + "w ara", + "k al", + "ĠCampe onato", + "ĠRec ogn", + "Ġimp ression", + "Ġ11 1", + "Ġag gressive", + "haus en", + "Ġstab il", + "le en", + "ber ra", + "osp ace", + "ethel ess", + "c olle", + "Ġdep ends", + "ĠRecre ation", + "Ġ q", + "Ġpen et", + "ĠChrist ine", + "Ġpl anted", + "ĠPh ase", + "fore st", + "ĠK O", + "ĠHel ena", + "ist ence", + "Ġind irect", + "Ġsens itive", + "ĠTrad itional", + "ĠSt a", + "du ctive", + "ĠHon our", + "Ġh ook", + "Ġexplan ation", + "Ġlif estyle", + "Ġm ud", + "ĠIntro duction", + "Ġ2019 20", + "Ġcon ceived", + "ĠStrateg ic", + "ĠGeorg etown", + "Ġknock ed", + "Ġtro phy", + "Ġsynthes is", + "Ġsett ings", + "ĠC ologne", + "Ġresc ued", + "r ug", + "ĠCon vers", + "ĠK olk", + "Ġl over", + "ĠAugust us", + "Ġir regular", + "Ġform ats", + "ĠAndre as", + "ĠGaz ette", + "ĠBron cos", + "ph oon", + "ĠSoph ie", + "on ed", + "ĠClass ification", + "Ġ2016 17", + "ĠM og", + "ĠT itan", + "ĠH arri", + "ĠL ibr", + "af a", + "ĠRom ans", + "ĠGl ad", + "he e", + "ĠCo ch", + "ĠMon ica", + "Ġworks hop", + "ill iant", + "Ġunder lying", + "Ġexpl ored", + "ĠSlov enian", + "ĠSh u", + "ĠBomb ay", + "ĠW imb", + "ĠCons ult", + "ĠPort rait", + "Ġdim in", + "ĠSil ent", + "ĠEx eter", + "v ine", + "ĠI X", + "ĠC umberland", + "Ġconc urrent", + "ĠLin ux", + "ĠR ough", + "add le", + "ĠKash mir", + "ĠOrig ins", + "Ġhypothes is", + "Ġv ig", + "Ġar ist", + "ĠSch ne", + "ĠS ue", + "ĠBerg en", + "ĠJack ie", + "ĠR ise", + "ĠD ip", + "Ġ\" ...", + "ĠWhit ney", + "ĠL ives", + "bour g", + "Ġc ro", + "Ġsc ales", + "ĠAng ola", + "ĠLe af", + "Ġancest ry", + "H ow", + "ĠC ivic", + "bb ffbb", + "s il", + "Ġimport ed", + "Ġfin anc", + "as o", + "ĠTor res", + "il ateral", + "ĠV ald", + "Ġmiss iles", + "Ġprox imity", + "an as", + "ĠH ak", + "'' '", + "Ġc ere", + "th is", + "Ġres ided", + "ĠV augh", + "ĠV es", + "g irl", + "v ich", + "ĠHann ah", + "Ġan at", + "Ġgr ay", + "ĠHart ford", + "ĠRud olf", + "Ġdis puted", + "as ma", + "Ġprov en", + "Ġcomp at", + "Ġrein force", + "od ium", + "Ġsub stance", + "atern ity", + "Ġprotest ers", + "ĠAnd hra", + "Jew ish", + "Ġkind s", + "un ter", + "om bo", + "b ol", + "Ġtransl ations", + "Ġrend ered", + "Ġcert ificate", + "= |", + "ĠBuck ingham", + "Ġt uber", + "Ġemb assy", + "ĠFlet cher", + "ĠR ising", + "ond u", + "ĠM ud", + "att i", + "ĠG A", + "it as", + "ĠY ard", + "er re", + "Ġcateg or", + "ĠB ard", + "Ġhum id", + "C onn", + "ew ise", + "ĠAnn iversary", + "Ġst air", + "Ġrecon naissance", + "ged y", + "T R", + "Ġdif f", + "ĠT et", + "Ġveter ans", + "aw ks", + "ed uc", + "ĠP GA", + "Ġpron ounced", + "os o", + "it ively", + "Ġcast ing", + "Ġ18 21", + "ran ger", + "at ial", + "ĠNor wich", + "ĠJoy ce", + "ĠPatri arch", + "Ġtherm al", + "ĠV and", + "Ġunsuccess fully", + "are l", + "ĠH omer", + "Ġ18 26", + "ĠProdu cts", + "M en", + "ĠD olph", + "cl amation", + "ĠD ion", + "Ġax is", + "ĠIss ue", + "om as", + "Ġsal ary", + "el ly", + "ĠPl ains", + "ĠAl pine", + "Ġopen ly", + "ĠSh ak", + "Brit ish", + "Ġb eds", + "ĠE ar", + "Ġprevent ing", + "ĠBur ma", + "ĠLig ue", + "Ġsub urban", + "Ġendors ed", + "ĠCh rys", + "Ġcoordin ator", + "Ġpostpon ed", + "ĠShe ikh", + "pl ant", + "ĠSt uttgart", + "ĠM Hz", + "Ġk iss", + "act ic", + "ĠProv ision", + "ĠP ond", + "ĠEm bass", + "ĠBol ton", + "ĠPl us", + "ort ic", + "ĠSeg unda", + "Ġhuman ity", + "Ġab olition", + "Ġse ctors", + "ĠI L", + "Ġass ert", + "Ġra ids", + "ĠG unn", + "ĠB otan", + "% ).", + "erv ation", + "ĠM ets", + "Ġr ises", + "Ġl ady", + "ĠBeat les", + "ĠQu inn", + "he ed", + "g ree", + "Ġfound ations", + "ĠOut side", + "ĠFle m", + "Ġsurrend ered", + "ĠGius eppe", + "ĠFl ower", + "unt ing", + "Ġphys icians", + "uzz le", + "lik ely", + "H ar", + "ĠNic olas", + "Ġ2012 13", + "htt p", + "ĠC rom", + "Ġdet ective", + "Ġille g", + "Ġent ities", + "i ate", + "Ġdisp utes", + "ĠSut ton", + "Ġelim ination", + "ĠN ixon", + "ĠMiddles ex", + "Ġ11 2", + "ĠS iege", + "ine es", + "Ġd ressed", + "Ġnecess arily", + "ĠToy ota", + "Ġbre ath", + "ĠE va", + "im ation", + "ĠR ag", + "ip linary", + "Ġinter fer", + "op t", + "Ġtra ils", + "P G", + "Ġ( #", + "ĠL och", + "Ġt ension", + "ĠTo o", + "Ġ18 13", + "ĠT rial", + "ĠS ally", + "Ġd ense", + "ĠSw ift", + "ind ers", + "Ġarch ives", + "ht ml", + "Ġge ographical", + "ĠRe e", + "Ġpreced ing", + "ĠRe bell", + "Ġit em", + "ĠSt rait", + "Ġcycl ist", + "s z", + "t ures", + "Ġk ids", + "Ġver b", + "P ac", + "p al", + "s eries", + "ĠR ust", + "Ġb le", + "ĠB ug", + "ĠDr ug", + "Ġr ings", + "c ue", + "p is", + "Ġa rose", + "ĠHur ling", + "ĠBatt les", + "ĠB onn", + "ĠTre vor", + "ĠC ran", + "Ġp av", + "ĠHy der", + "ank ar", + "n orth", + "Ġswim mer", + "ĠIm port", + "V C", + "Ġmem ories", + "ĠGovernor ate", + "ĠHam mond", + "ĠS ale", + "ĠSup erman", + "ĠCan berra", + "Ġcouncill ors", + "u um", + "ĠNe o", + "Ġartif acts", + "Ġmerch ants", + "ĠB oss", + "ĠL LC", + "or ic", + "Ġarg uments", + "Ġm oon", + "Ġg ates", + "Ġbond s", + "ĠK oz", + "ĠHol ly", + "Ġgovern ors", + "Ġtr ucks", + "ĠAngel a", + "ĠNord ic", + "Ġconsider ably", + "Ġchalleng ing", + "Ġhold er", + "Ġas ide", + "Ġr amp", + "Ġbomb s", + "em ia", + "ĠX avier", + "du ct", + "ĠHeart s", + "ĠGib ral", + "Ġrespons es", + "an ch", + "ĠH aj", + "ĠCo aching", + "ĠCh ak", + "ĠLat vian", + "ens ed", + "f ts", + "ull a", + "ĠUS C", + "in ese", + "ĠPre viously", + "og ene", + "Ġe ar", + "ĠD owntown", + "ĠCher ry", + "ist on", + "ĠDream s", + "Ġless er", + "Ġobtain ing", + "Ġec osystem", + "he ars", + "Ġdire ctions", + "ĠR w", + "Ġcre am", + "ĠTeh ran", + "iffer ent", + "A b", + "ĠH M", + "ĠLib ya", + "Ġreview er", + "Ġin land", + "ac io", + "Ġdemonst ration", + "Ġprin cess", + "ib ald", + "Ġind ie", + "ce ster", + "ĠBer ks", + "Ġem issions", + "land ers", + "ĠInvest ig", + "ĠAlb ion", + "Ġelder ly", + "itor ium", + "y th", + "Ġb alls", + "ĠHor iz", + "Ġ2013 14", + "ograph s", + "ĠI brahim", + "ĠV inc", + "Ġ >", + "ĠK amp", + "Ġout lets", + "Ġch a", + "itt ers", + "Ġeval uation", + "ĠCal ed", + "Ġtact ics", + "ĠC el", + "lo aded", + "ĠWimb ledon", + "ĠParagu ay", + "Ġmob il", + "Ġgastrop od", + "ar ound", + "ĠEven ing", + "h of", + "Ġc ryst", + "Ġcontra cted", + "is ive", + "Ġinvent or", + "ĠB ri", + "ĠT act", + "id y", + "Ġeconom ist", + "Ġmechan ics", + "yl on", + "ĠJuda ism", + "hood s", + "Ġcouncil s", + "el ic", + "Ġapart ments", + "Ġpubl ishers", + "ĠC SS", + "Ġlong time", + "Ġpre f", + "m ay", + "ĠJose f", + "d ong", + "Ġpolit ically", + "Ġt onn", + "ĠT ud", + "ven ile", + "Ġte lev", + "Ġcl im", + "Ġun ited", + "Ġcolle ctor", + "Ġsy ll", + "ĠMay ors", + "ĠP ag", + "ĠNob le", + "ĠPhill ies", + "Ġclimb ing", + "ĠDavid son", + "en stein", + "Ġ3 000", + "N ational", + "Ġwitness es", + "ĠS iber", + "Ġin fer", + "Ġbutter fly", + "ĠDe e", + "ĠColle ctions", + "ant is", + "Ġdis pos", + "Ġr h", + "o qu", + "ĠEmp ress", + "ĠRest aur", + "ĠChe shire", + "ellig ent", + "Ġnatural ly", + "Ġdef unct", + "ĠAdv ance", + "Ġinv itation", + "ĠCare y", + "ĠBrit t", + "ĠSch midt", + "ol ades", + "ĠCauc as", + "Ġnav igation", + "190 8", + "Ġf ier", + "ĠWeb ster", + "ĠR ule", + "Ġfa ult", + "ĠP ied", + "ĠY ak", + "Ġkn ight", + "ĠChe v", + "Ġdon ations", + "Ġen hanced", + "t ail", + "ĠSe venth", + "Ġsuccess ive", + "ĠF i", + "Ġ icon", + "ĠV ery", + "Ġprote cting", + "al bum", + "ew ard", + "Ġconsist ently", + "Ġfil ter", + "ĠCr im", + "Ġcir cles", + "U R", + "Ġspe aks", + "ĠParam ount", + "io x", + "Ġ17 58", + "Ġt aste", + "anth a", + "Ġsn ail", + "ray ed", + "N L", + "id ian", + "r ays", + "Ġrev olt", + "art on", + "Ġtra iler", + "je ctions", + "ĠOrgan isation", + "Ġrecommend ations", + "Ġpartn ered", + "Ġam end", + "iz ers", + "ell ation", + "ha o", + "ĠF ro", + "Ġpresent ing", + "Ġposthum ously", + "Ġtob acco", + "ĠEl ite", + "Ġce iling", + "ĠN H", + "Ġcertain ly", + "Ġpregn ancy", + "ĠG os", + "Ġexam ined", + "ĠOm aha", + "Ġhealth y", + "Ġdet ection", + "Ġcalcul ated", + "ĠHass an", + "ĠP apers", + "Ġconv iction", + "ĠIceland ic", + "ĠH ours", + "Ġcom mercially", + "ĠV ia", + "Ġroll ing", + "ĠVal encia", + "Ġadv ancing", + "ĠBh ar", + "m ud", + "P D", + "ĠKn ock", + "Ġa mp", + "part y", + "Ġdemonstr ate", + "Ġvel ocity", + "rg uez", + "190 9", + "ĠZ ach", + "Ġdep ictions", + "ĠPre z", + "ĠNic arag", + "Ġdestro ying", + "Ġdecl aration", + "Ġenter prise", + "ĠA us", + "Ġpar ade", + "ĠC ars", + "ĠBas ic", + "ĠW ade", + "Ġbl ow", + "ĠPhot ography", + "per m", + "ĠPier ce", + "h uman", + "ocol ate", + "ĠMy th", + "ĠUNE SCO", + "Ġnurs ing", + "Ġalt ar", + "ĠCh u", + "ĠF ow", + "ĠEmbass y", + "d rama", + "Ġg entle", + "c ience", + "c ence", + "ĠD ise", + "ĠAn s", + "c amp", + "Ġ2014 15", + "ĠEl s", + "Ġdestro yer", + "Ġpres um", + "wer p", + "ĠC hern", + "ĠP ok", + "Ġlast ing", + "Ġsee ks", + "Ġt ap", + "ĠInvest ment", + "Ġlo ans", + "D en", + "ĠShar on", + "ĠCO N", + "ĠAn imated", + "Ġprior ity", + "ĠCar son", + "Ġunder go", + "Ġdeploy ment", + "A nt", + "ĠT uesday", + "Ġconsum ers", + "Ġachie ving", + "Ġmar itime", + "Ġhigh lights", + "oph ys", + "ĠRes ort", + "ĠT uc", + "Ġb omber", + "ĠPer forming", + "al om", + "ĠD iplom", + "ĠM ate", + "Ġv ault", + "g ent", + "ĠMun ster", + "Ġread er", + "Ġde an", + "ĠOcc up", + "Ġf o", + "ĠP ie", + "ĠPar ade", + "B R", + "v oy", + "ar f", + "ĠL us", + "oc ide", + "ĠBry ant", + "ul ates", + "ary a", + "ĠM orm", + "Ġpl ural", + "ĠV ul", + "ĠD unn", + "c ross", + "y i", + "ĠRod rguez", + "ĠMaced onian", + "ĠLe igh", + "ĠNic ol", + "ok en", + "av el", + "Ġcycl one", + "ĠVat ican", + "ĠB it", + "ĠCar men", + "ĠTun nel", + "Ġgeomet ry", + "Ġc ass", + "s im", + "ĠU d", + "ap or", + "Ġ17 90", + "Ġcontinu ously", + "Ġrect angular", + "Ġvol cano", + "ĠS ach", + "ĠMoh amed", + "att y", + "ars ity", + "Ġs or", + "Ġcost ume", + "Ġdef ic", + "song writers", + "Ġcell o", + "Ġorgan ize", + "ur ia", + "ch id", + "ĠE van", + "ĠCle m", + "e xt", + "ĠA ug", + "Ġm aj", + "ou b", + "ĠH yd", + "Ġp el", + "ip es", + "ott i", + "Ġd ys", + "ĠSix th", + "Ġequ ality", + "Ġing red", + "ĠAppe al", + "P ol", + "edd ed", + "Ġmill ions", + "ĠK ens", + "ĠMar ina", + "g ren", + "Ġcommand ers", + "Ġa us", + "om eter", + "ĠSe p", + "ul ia", + "arn a", + "Ġt rick", + "en ko", + "Ġ18 18", + "um ann", + "T O", + "t itled", + "Ġthe aters", + "O ld", + "R NA", + "Ġst arter", + "ĠK atherine", + "ĠT ill", + "Ġ2011 12", + "ĠKolk ata", + "ĠV ed", + "ib an", + "Ġnarrow ly", + "Conn or", + "Ġfrag ments", + "ĠJoh an", + "ĠS anskrit", + "om ers", + "Ġaud ition", + "Ġtest imony", + "ĠZh u", + "ĠT D", + "Ġm ask", + "ĠPat rol", + "Ġer rors", + "ĠSyn opsis", + "ĠGuj arat", + "Ġ2015 16", + "ĠSand ers", + "Ġbat ted", + "Ġpur ple", + "Ġplan es", + "Ġmole cules", + "ĠPort o", + "ĠSol id", + "ĠSt ad", + "Ġc ord", + "Ġsl ot", + "om ore", + "ĠGal axy", + "en b", + "Ġall ied", + "ĠArab ian", + "ins ki", + "ĠN O", + "Ġbound ed", + "Ġvol canic", + "ĠLoren zo", + "og h", + "ĠGibral tar", + "Ġgu ided", + "Ġpromin ence", + "ĠInn ovation", + "Ġf us", + "ind ed", + "ĠShir ley", + "yl ogen", + "Ġcomment ator", + "Ġneighborhood s", + "ĠGe ographic", + "Ġ18 22", + "ĠAll Music", + "ĠB olog", + "Ġf iscal", + "ĠSumm ary", + "Ġurg ed", + "ĠM ining", + "F amily", + "ĠPart ners", + "Ġhar bour", + "Ġn ights", + "en ov", + "ĠSt ro", + "Ġvaria bles", + "ĠN ut", + "ver age", + "r ut", + "ĠBro w", + "ĠWander ers", + "ĠVij ay", + "ier re", + "omm ission", + "ĠClub e", + "Ġwarn ed", + "Ġs aving", + "ĠTownship s", + "ĠWhe el", + "Ġqu it", + "Ġt une", + "ĠD uck", + "ĠV or", + "Ġgl ob", + "ĠZ ur", + "Ġski ing", + "ĠWin chester", + "Ġcinem at", + "ĠCly de", + "ab s", + "ĠHon ors", + "Ġremark able", + "L et", + "rib le", + "Ġam endment", + "ri ot", + "ĠIr ving", + "Ġf are", + "Ġcontroll ing", + "ĠD ust", + "an us", + "Ġfle e", + "Ġo dd", + "ĠSt ir", + "ĠB ram", + "ĠHa iti", + "Ġfact ories", + "L D", + "f und", + "Ġpro claimed", + "Ġlater al", + "Ġth read", + "ĠIniti ative", + "ĠKu wait", + "ĠSh ot", + "ĠMap le", + "Ġle ather", + "Ġmeasure ment", + "ĠMoroc can", + "ram id", + "Ġautom obile", + "al and", + "ĠG ov", + "ĠScand in", + "Ġhar sh", + "Ġhect ares", + "pl er", + "Ġp orn", + "ĠCh ambers", + "Ġintro ducing", + "ert ation", + "ĠEld er", + "ford shire", + "Ġtrad em", + "ĠPet erson", + "Ġbelie ving", + "is eries", + "ograp hed", + "n ational", + "mer e", + "t el", + "re ens", + "ĠO v", + "Ġ! !", + "Ġprofessional ly", + "ĠAr lington", + "D r", + "asc ular", + "Ġfoss ils", + "ĠIb n", + "a uth", + "Ġne ur", + "Ġviol ation", + "ĠSh ane", + "Ġco oking", + "anc o", + "ĠT ac", + "ĠSav age", + "Ġloc als", + "iss ued", + "Ġt ickets", + "ĠP aw", + "ham pton", + "ew ater", + "ĠCle ar", + "ĠKun st", + "et us", + "n umber", + "d et", + "ĠA ster", + "Ġaccount ing", + "ĠL C", + "Ġcompl ications", + "ĠG le", + "ĠMcC arthy", + "a ise", + "us z", + "Ġprosec ution", + "Ġst amp", + "ĠEthiop ian", + "p se", + "ĠT ale", + "ĠRe x", + "Ġ18 16", + "ĠZ am", + "Ġaccommod ation", + "Ġobject ives", + "Ġdr unk", + "be it", + "g ood", + "G old", + "ĠVik ings", + "Europe an", + "ĠGl ory", + "ĠM ole", + "Ġde alt", + "ĠPhill ip", + "Ġsc out", + "Ġprop ri", + "ĠM IT", + "r il", + "ĠInvest igation", + "Ġdeg rad", + "ĠBull s", + "ĠRe ad", + "ĠGo als", + "Ġb arn", + "Ġcarri ers", + "Ġcompar able", + "ĠH ear", + "Ġmaster ing", + "ĠCh arg", + "Ġcompl aints", + "Ġfort une", + "ĠEth nic", + "ĠMerced es", + "ĠColle giate", + "z ens", + "Ġsp elled", + "ĠAub urn", + "s son", + "Ġinher it", + "te au", + "head s", + "Ġspot ted", + "Ġrecre ation", + "ĠP up", + "Ġfresh man", + "football er", + "Ġorganiz ing", + "ĠClare nce", + "ĠH app", + ") (", + "Ġir rig", + "ĠK ee", + "strument al", + "Ġc ivic", + "Ġadvoc acy", + "M on", + "190 5", + "ĠWill is", + "olith ic", + "S an", + "ĠTibet an", + "ĠSp ot", + "Ġgall eries", + "Ġelectron ics", + "ĠHawai ian", + "ĠG C", + "ĠLam bert", + "ne ys", + "ĠG el", + "ĠNew ark", + "ĠSh arp", + "ĠMc Le", + "ember g", + "Ġover th", + "ri ka", + "ĠDaw son", + "yn es", + "Ġ umb", + "so ver", + "190 7", + "R eg", + "ĠAt hen", + "ĠG M", + "um ble", + "ĠPhilharm onic", + "en heim", + "ĠMet ac", + "H ol", + "Ġdisc ipl", + "ĠF ischer", + "Ġp enn", + "ĠR oster", + "occ up", + "Ġ2020 21", + "s chool", + "ĠG arn", + "Ġg ly", + "Ġch ains", + "Ġvers es", + "ĠMon ster", + "Ġfl ies", + "ĠAm anda", + "Ġt ong", + "ĠL j", + "Ġtrust ees", + "ĠB ates", + "Ġw ishes", + "ard y", + "Ġhar vest", + "ĠBe autiful", + "ĠBrig adier", + "ĠB old", + "Ġproceed s", + "Ġspr int", + "air d", + "Ġtru ly", + "ack ing", + "ĠC z", + "Ġsup ern", + "Ġair ports", + "Ġaccur acy", + "ĠCred its", + "ig u", + "Ġorgan isms", + "ĠLind say", + "Ġleng ths", + "ĠShe ll", + "al ong", + "Ġcare ers", + "ĠPoly techn", + "Ġw artime", + "t w", + "ĠS iles", + "ĠM aking", + "Ġupris ing", + "ĠT ou", + "ĠS ustain", + "ĠX in", + "Ġlack ed", + "p ark", + "miss ions", + "ĠDund ee", + "ven ues", + "Ġ ell", + "ĠW ave", + "Ġcert ification", + "ĠIn ner", + "ĠAg nes", + "K ing", + "ĠTh ing", + "ĠM k", + "ĠLand s", + "es i", + "Ġover come", + "ĠB enson", + "Ġgovern ance", + "ĠL O", + "Ġsquad rons", + "ĠDerby shire", + "Ġt ar", + "ĠAg ent", + "Ġob vious", + "ĠN iz", + "Ġequ ity", + "ĠMatthew s", + "k ie", + "ĠH in", + "ĠHu ang", + "ich ael", + "ĠM ller", + "ig ger", + "urg ical", + "am en", + "ĠF ol", + "Ġmet er", + "ĠTerrit orial", + "Ġadvis ory", + "ĠMong olia", + "Ġmir ror", + "th on", + "Ġle ased", + "Ġcorrespond ent", + "ĠI ch", + "on el", + "ĠH os", + "ĠTim eline", + "ĠCorn el", + "Ġ18 27", + "Ġprov ider", + "ĠC od", + "ĠAnd roid", + "or rect", + "ĠDe leg", + "ĠEv il", + "ili ation", + "ĠPol bot", + "Ġl aser", + "Ġdevelop s", + "ĠPract ice", + "Ġdo ctoral", + "Ġterm inated", + "m ese", + "ĠL ope", + "Ġvacc ine", + "ie g", + "ub ble", + "Ġw it", + "Ġtraff icking", + "Ġnot ion", + "Ġrad i", + "Ġinv ested", + "ĠClay ton", + "unt a", + "ĠF ry", + "nt y", + "Ġser ver", + "n ar", + "Ġto uc", + "ron es", + "ĠTra cy", + "ĠEd en", + "ĠGl oria", + "ĠA ve", + "Ġdet ected", + "Ġrefle cts", + "ĠT ort", + "Ġro d", + "Ġint act", + "ĠF ram", + "Ġelabor ate", + "ĠG ob", + "U T", + "ĠMic key", + "Ġb arrier", + "ĠS W", + "Ġrub ber", + "pl aced", + "Ġl ens", + "ĠT ap", + "ĠW are", + "ri z", + "Ġsurve illance", + "B el", + "Ġpen alties", + "ĠSt oke", + "Ġc ater", + "ĠW yn", + "Ġfinal ist", + "w on", + "oc aly", + "Ġpreced ed", + "ĠFal con", + "Ġcont ents", + "Ġtas ked", + "ĠCun ning", + "ĠAbb as", + "Ġappre ci", + "ĠC M", + "ĠBudd ha", + "ĠDev ils", + "Ġsp ur", + "ĠReview s", + "Ġcomput ing", + "Ġp ipe", + "Ġsol ve", + "Ġenl arged", + "ĠBuch arest", + "ĠS eth", + "Ġce ase", + "Ġst rain", + "ĠTit ans", + "Ġext ract", + "pl us", + "l ate", + "ul in", + "Ġaccept ance", + "Ġcompl icated", + "ĠH ollow", + "le cted", + "ĠDud ley", + "b gcolor", + "Ġ202 122", + "Ġt a", + "Ġsub stitut", + "ic ol", + "ĠAbd ullah", + "ĠGhana ian", + "i ew", + "ĠGand hi", + "S M", + "Ġcom merce", + "an ions", + "Ġavail ability", + "Ġsecret ly", + "j ord", + "ĠEx c", + "ĠOl ive", + "ĠHy de", + "unn els", + "ĠTai pei", + "Ġpro jected", + "ĠP ill", + "ĠAl ps", + "190 6", + "oura ge", + "od yn", + "Ġwal ks", + "Ġsp ite", + "Ġstrugg les", + "Ġdis k", + "Ġmod est", + "vo iced", + "Ġconscious ness", + "ĠM ons", + "Ġ2010 11", + "N O", + "ĠEm manuel", + "otyp ic", + "ĠI ber", + "if olia", + "ropol is", + "Ġcorrespond ence", + "Ġovers ee", + "Ġn ave", + "Ġd rown", + "Ġcon vey", + "Ġin quiry", + "ĠJ et", + "Ġs oprano", + "ĠThe ological", + "it ian", + "is o", + "es que", + "ĠJ h", + "ĠJama ican", + "Ġ11 3", + "Ġs ends", + "Ġrec ount", + "Ġam alg", + "Ġwitness ed", + "ĠM ist", + "n ick", + "Ġgradu ates", + "Ġres olved", + "ĠPra irie", + "Ġinv aded", + "child ren", + "its u", + "Ġl ith", + "Ġsus pect", + "Ġcru ise", + "Ġ\" \"", + "ĠK ak", + "E G", + "ad ic", + "Ġscreen ed", + "Ġchart ed", + "Ġ18 19", + "ĠPatt erson", + "ĠTra cks", + "ĠP erm", + "ĠN est", + "Ġfund ra", + "ĠM B", + "ĠIn ver", + "Ġ180 1", + "ĠMag azines", + "Ġm ouse", + "Ġski ers", + "Ġd il", + "Ġch aired", + "Ġj e", + "Ġrel iable", + "ĠCommun ities", + "ĠHast ings", + "g on", + "ĠS ain", + "Ġb arri", + "ing ers", + "Ġdecor ations", + "ĠKurd ish", + "Ġ ?", + "Ġan arch", + "ĠMag dal", + "ĠRes cue", + "l antic", + "ĠAnt werp", + "ĠD iss", + "ĠB R", + "ĠO mar", + "ĠJo ey", + "ĠAut onomous", + "Ġf usion", + "Ġadm ission", + "Ġspe eds", + "Ġp ier", + "Ġdis hes", + "Ġr ic", + "ĠCongress ional", + "ĠDu ff", + "ĠS ob", + "Ġf ed", + "ĠPear son", + "c ies", + "Ġmet eor", + "Ġvol untary", + "ĠAm ar", + "Ġautob iography", + "Ġair field", + "Ġres ur", + "ĠWe ight", + "ra pe", + "ow o", + "20 3", + "k ind", + "Ġun animous", + "ĠGlou cester", + "Ġ18 23", + "ĠC ic", + "ĠG ior", + "ĠColle ges", + "ĠL uck", + "oun ce", + "Ġbicy cle", + "ĠSt range", + "Ġsp elling", + "is ure", + "Ġins urg", + "b fb", + "ĠCan on", + "ĠTra vis", + "re p", + "ĠF res", + "ĠS chn", + "Ġsp y", + "ĠVal le", + "ĠFern and", + "ĠComp ar", + "Ġc um", + "cut ta", + "Ġcrew s", + "Ġscreen ing", + "ĠD A", + "Ġprov iders", + "ĠTh orn", + "Ġmod es", + "ĠL ump", + "ogen ic", + "og ie", + "Ġb oot", + "ĠEn c", + "ĠAre as", + "os ion", + "so on", + "ĠMeet ing", + "by e", + "Ġshell s", + "Ġenact ed", + "ĠProper ty", + "Ġris ks", + "Ġ12 8", + "ĠR ak", + "Ġcont rad", + "Ġtra ce", + "Ġknow ing", + "ĠRever end", + "Ġper ception", + "or io", + "yr gy", + "Ġm ont", + "f ont", + "ĠC ouncill", + "ĠCov entry", + "m itt", + "Ġsal v", + "Ġbus h", + "Ġjud gment", + "ĠT arg", + "ĠM O", + "fl ow", + "et ian", + "Ġoper as", + "Ġst aying", + "ep ing", + "Ġthrow ing", + "ĠM ord", + "ĠH ag", + "ĠE uc", + "Ġmarket ed", + "ĠTw ins", + "ĠCar penter", + "ĠHyder abad", + "N G", + "ĠTh ur", + "les h", + "iv ided", + "Ġmet aph", + "ig m", + "Ġsum mon", + "Ġelim inate", + "Ġlif ted", + "ens ions", + "ush i", + "re present", + "ĠCount ess", + "O ut", + "Ġsket ch", + "Ġexha ust", + "Ġcap ability", + "ĠL ingu", + "Ġlo ose", + "Ġd ust", + "Ġphil osophical", + "ĠM ou", + "Ġdiss olution", + "A c", + "Ġp neum", + "Ġcancel ed", + "r ust", + "ĠT ate", + "und ers", + "ĠAr cher", + "W ith", + "Ġtel esc", + "ong o", + "ĠD ana", + "ke ys", + "Ġinter ference", + "ĠC T", + "n ame", + "ĠRe agan", + "ur us", + "ig nty", + "B ar", + "Ġins isted", + "Ġback up", + "Ġnot iced", + "ĠBel ow", + "ĠDuc hess", + "Ġtransm itter", + "Ġloan ed", + "Ġrein forced", + "ĠJes uit", + "Ġm ills", + "ĠVari ety", + "Ġ( $", + "Ġdec ommission", + "gr ass", + "Ġdiagn osis", + "Ġle cture", + "ĠF ritz", + "Ġcogn itive", + "ĠVer de", + "ĠDres den", + "ig on", + "Ġadd s", + "he ll", + "ov sk", + "ry n", + "Ġam phib", + "Ġceleb rity", + "N or", + "D em", + "ĠLand marks", + "ĠW ire", + "ĠWrit er", + "Ġexerc ises", + "Ġimm igrant", + "ĠAtt ack", + "y cl", + "Ġse ating", + "Ġreun ited", + "r ade", + "ov ic", + "Ġpro c", + "Ġlux ury", + "le ague", + "ĠB oul", + "Ġinter rupted", + "ob ic", + "ĠSh ire", + "ĠRebell ion", + "ĠMon astery", + "ĠCar mel", + "Ġl anes", + "on ge", + "is chen", + "in ction", + "ĠBrad y", + "ĠB aj", + "ĠP asc", + "ore n", + "ĠVeter ans", + "ĠRe ference", + "ĠCl iff", + "ĠAm bassadors", + "ĠJer ome", + "res hold", + "ab is", + "ĠW ien", + "abul ary", + "ros pective", + "r ar", + "ĠG iant", + "ĠTe aching", + "ĠFitz g", + "Ġs izes", + "Ġs ou", + "Ġcan oe", + "ĠBas que", + "P I", + "Ġ ~", + "ch ich", + "Ġd orm", + "Ġpl aque", + "m and", + "Ġdem o", + "ĠS ites", + "com ed", + "Ġsuper hero", + "ĠHond a", + "Ġh iding", + "isl av", + "ĠFront ier", + "Ġ18 17", + "Ġview ing", + "end ra", + "ĠW ak", + "Ġan the", + "ĠC BC", + "it ational", + "Ġg est", + "ĠCl aus", + "ĠAd j", + "Ġpian ists", + "ĠWilliam son", + "Ġjump ing", + "pro v", + "ĠSal is", + "ĠSt alin", + "ost ic", + "ĠGal way", + "ĠFl at", + "Ġs ued", + "Ġrequ ests", + "id ia", + "ĠClin ical", + "ig l", + "ĠC ey", + "ĠB rett", + "Ġinsc riptions", + "Ġal pine", + "ĠT il", + "ĠHond uras", + "ĠWolf gang", + "ĠBe ast", + "13 0", + "ĠK ub", + "Ġsem in", + "Ġsh rine", + "190 1", + "b ay", + "Ġillust rator", + "ĠJ enny", + "Ġpot tery", + "ĠC oc", + "ash ing", + "Ġmach inery", + "ĠM ai", + "ĠB ound", + "Ġk in", + "Ġs ad", + "ĠBl ind", + "Ġfin ite", + "ĠMarc os", + "ĠK ov", + "Ġdet ention", + "ĠCompet itors", + "g t", + "ĠBih ar", + "Ġdeleg ate", + "Ġvolt age", + "ĠGen esis", + "j ar", + "ĠEnt ry", + "Ġl as", + "op ters", + "ĠAnim als", + "ĠMonth ly", + "ag ara", + "190 3", + "Ġcons on", + "ĠEl ena", + "ĠEns emble", + "ĠBet ter", + "Ġcrit ically", + "E m", + "ĠY ah", + "war f", + "ĠBusiness people", + "ĠKann ada", + "oc us", + "Ġfact s", + "ĠC ot", + "ĠHol t", + "ĠD ram", + "ĠCoast al", + "ĠBart on", + "Ġopin ions", + "ain ted", + "Ġaddress es", + "Ġdrain age", + "row ing", + "ĠCed ar", + "ĠG erm", + "ĠScient ists", + "Ġport folio", + "Ġfr ames", + "ĠGastrop ods", + "Ġphilos ophers", + "Ġconsec rated", + "N D", + "ak ala", + "Ġunder took", + "eb e", + "V R", + "bre aking", + "ĠCa esar", + "Ġc arn", + "ĠSing ers", + "str m", + "ĠQu ant", + "Ġdrop ping", + "ĠCar bon", + "en ne", + "ĠChar ity", + "as ive", + "ĠAl ess", + "ĠColl abor", + "Ġstat ues", + "ow itz", + "ĠA in", + "m ain", + "Ġschem es", + "C ap", + "ou ds", + "Ġsm oke", + "ĠY un", + "B o", + "op a", + "art ment", + "ĠSch war", + "un ched", + "Ġappe aled", + "ĠInter est", + "R es", + "Ġcrim inals", + "Ġch assis", + "at an", + "Ġd ens", + "Ġdescend ant", + "un ciation", + "ĠSt ream", + "Ġh alls", + "th y", + "Ġfru its", + "cer pt", + "Ġgu idelines", + "ĠTe achers", + "f ile", + "urn ed", + "af ia", + "Sp anish", + "1 10", + "Ġv ine", + "ĠBott om", + "Ġspace craft", + "Ġin cl", + "Ġover view", + "Ġpart icle", + "ĠZ oo", + "eb o", + "ĠCl an", + "Ġclar inet", + "a ic", + "Ġse greg", + "ill i", + "Ġun likely", + "Ġbroad er", + "ĠCh oir", + "ĠG entle", + "Ġequ ations", + "w rote", + "Ġbow ling", + "Ġ180 3", + "Ġc af", + "Ġcontact s", + "er ical", + "ĠBh ut", + "se in", + "Ġdim ension", + "ĠCon cept", + "ĠS ok", + "ĠM W", + "ĠC hes", + "ĠCal cutta", + "ĠTob ago", + "F l", + "ĠN othing", + "Ġdors al", + "c end", + "Ġhang ing", + "ĠB ian", + "Ġlic ence", + "Ġsl ope", + "ĠL ug", + "ad an", + "Ġor phan", + "ĠFig ure", + "ĠConserv atory", + "Ġinstitut ional", + "ck en", + "Ġmet all", + "Ġs ank", + "a ft", + "ĠClass ics", + "ung en", + "Ġun ity", + "Ġcatalog ue", + "ĠDe al", + "Ġrem ake", + "Ġw ards", + "Ġshow c", + "ĠC yn", + "Ġder ives", + "Ġbr ass", + "Ġ180 6", + "Ġcommun es", + "Ġdestroy ers", + "ĠClub s", + "ver n", + "ĠCarl ton", + "Ġceleb rations", + "he id", + "ys c", + "N Y", + "L R", + "L o", + "Ġv est", + "et he", + "nd on", + "rif ied", + "ipel ago", + "Ġinf ant", + "Ġt allest", + "tt i", + "Ġro de", + "Ġin equ", + "Ġbomb ers", + "Ġa uxiliary", + "ĠBar rett", + "190 2", + "Ġgar age", + "ĠC asc", + "ba um", + "ĠY ong", + "ĠMart ine", + "Ġfold ed", + "ĠK ost", + "ĠC ry", + "ĠWar wick", + "ĠX ia", + "os ity", + "av irus", + "F S", + "I O", + "ugh t", + "av ers", + "lim ited", + "Ġcraf ts", + "Ġmand atory", + "Ġprom ising", + "ĠProm otion", + "ĠR it", + "Ġcor rel", + "ĠC ounsel", + "Ġaffili ation", + "ĠC ao", + "ĠN ina", + "Ġhero es", + "Ġmel od", + "Ġreal izes", + "ould er", + "Ġpres idents", + "1 20", + "Ġcru iser", + "in qu", + "ĠMat hematical", + "Ġtra ces", + "ve z", + "Ġmar ched", + "n ormal", + "ĠMc F", + "Ġsw orn", + "ĠMarket ing", + "Ġp ent", + "Ġdis gu", + "lift ing", + "us hes", + "ĠElis abeth", + "ĠArch diocese", + "Ġwalk ed", + "S al", + "Ġf iber", + "cent ric", + "j ana", + "Ġen orm", + "Ġpit chers", + "rit ies", + "Ġconqu ered", + "ĠRap id", + "Ġfood s", + "ĠRom ance", + "ĠI k", + "el age", + "ĠSin clair", + "Ġprot ocol", + "ĠO man", + "Ġmasc uline", + "ĠC rew", + "ĠS ug", + "ĠC ounter", + "ĠStand ings", + "Ġhost ile", + "Ġn g", + "og ram", + "00 1", + "S mith", + "ĠWe in", + "Ġsub str", + "Ġref urb", + "clud es", + "os aurus", + "Ġc ement", + "Ġreve aling", + "Ġhom eless", + "ĠCour ts", + "ĠMetac ritic", + "ar ina", + "ĠHer r", + "ĠTrad ition", + "ĠVer lag", + "ĠA ston", + "A ss", + "Ġm ock", + "ĠBerm uda", + "Ġnav ig", + "ĠDem on", + "ĠEp ic", + "ĠRun ner", + "ĠUrugu ayan", + "ĠE rie", + "Ġ2009 10", + "Ġsm allest", + "ĠEle anor", + "ĠVen us", + "Ġre ef", + "Ġgran ite", + "Ġbord ered", + "n ership", + "ĠAn k", + "Ġ11 6", + "Ġinvest ments", + "am on", + "ĠRot ten", + "ĠAm phib", + "ĠFranc isc", + "Ġavo ided", + "ĠWe ap", + "ĠS aid", + "Ġm es", + "ĠWhe eler", + "ĠBar ber", + "y ne", + "af i", + "Ġev angel", + "ĠV on", + "ĠMoz amb", + "Ġdam ages", + "ind s", + "iod iversity", + "as ants", + "ĠOp position", + "ĠAl c", + "Ġm igr", + "Ġd up", + "G E", + "it uary", + "ĠCorn er", + "190 4", + "Ġboy friend", + "ĠSt anding", + "ic iary", + "ĠS ens", + "Ġmetab ol", + "Ġdec oration", + "ze k", + "ĠHans en", + "Ġdecor ative", + "ĠRes istance", + "p us", + "Ġlik es", + "utt ing", + "Ġri ots", + "Ġcontin ent", + "Ġmon ster", + "ĠN ay", + "ĠNiel sen", + "Ġ11 4", + "ĠMal t", + "Ġscreen writers", + "Ġcolle ague", + "inn ers", + "ast eries", + "Ġpubl ishes", + "Will iam", + "ĠAl m", + "ĠEvangel ical", + "Ġw ool", + "eng ine", + "ĠNR HP", + "Ġhapp ens", + "Ġac ids", + "Ġ17 93", + "Ġen closed", + "Ġst ip", + "Ġs aints", + "Ġdesc ended", + "ĠJacob s", + "ĠRe ptiles", + "Ġw ished", + "ye v", + "m ile", + "olog ic", + "hip s", + "ar ra", + "Ġfresh water", + "Ġwhe at", + "er oy", + "Ġancest ors", + "ĠLope z", + "ĠS amp", + "ĠG ould", + "d el", + "Ġc ig", + "Ġline back", + "Ġcontribut or", + "ĠBolog na", + "Ġt rom", + "ĠAugust a", + "Ġ180 9", + "Ġge ography", + "ĠS idd", + "ĠHan over", + "ount ers", + "ĠSh iva", + "Ġattract ive", + "ĠBra in", + "ĠDors et", + "ĠL ans", + "ĠNo ah", + "pr ising", + "ĠP erman", + "Ġexplicit ly", + "E very", + "l ich", + "Ġliv estock", + "Ġg ains", + "ĠAleks and", + "Ġob s", + "ĠRand olph", + "q i", + "ĠRick y", + "Ġphot ographers", + "be ing", + "du ctions", + "d ate", + "ĠV l", + "ĠChall enger", + "Ġterror ism", + "Ġf ails", + "ĠW itch", + "ĠCunning ham", + "bl ack", + "ch w", + "ant an", + "Ġph ases", + "Ġlov es", + "Ġkick ed", + "ĠG ert", + "Ġstri ker", + "Ġmand ate", + "ĠTra v", + "ĠCred it", + "Ġseem ingly", + "Ġh urd", + "ĠT uls", + "Ġex cluded", + "Ġbu ying", + "Ġinst ances", + "ĠW ine", + "ĠWe ber", + "Ġdial ects", + "ĠR ita", + "ĠElect rical", + "ĠGlac ier", + "Ġdem anding", + "Ġres on", + "ĠFore ver", + "P L", + "ĠCN N", + "Ġass ume", + "Ġinvestig ating", + "ĠPublic ation", + "Ġeng aging", + "Ġhuman itarian", + "Ġment or", + "Ġgram mar", + "CA F", + "ĠO F", + "Ġg rab", + "fr ame", + "Ġsimilar ities", + "Ġsp ar", + "Ġacc redited", + "Ġde er", + "ĠRain bow", + "ĠK ah", + "Ġret rie", + "ĠAr r", + "o ise", + "Ġter restrial", + "ĠBur mese", + "Ġlik ed", + "ĠCycl ing", + "ĠL ily", + "ĠI ps", + "y ar", + "ĠSh annon", + "ĠTur ks", + "spec ific", + "h ydro", + "ĠTon ight", + "ĠN ab", + "ĠHol iday", + "ĠH ers", + "Ġstrugg ling", + "ĠI M", + "D D", + "Ġst ems", + "ĠI R", + "Ġse ar", + "18 90", + "cy l", + "Ġupd ate", + "Ġp our", + "Ġincorpor ating", + ", '", + "ĠA IDS", + "ĠL od", + "X X", + "ĠReserv oir", + "Ġ17 98", + "Ġext ant", + "Ġ0 2", + "ĠH abit", + "Ġ0 4", + "Ġin ning", + "N FL", + "ĠW ords", + "ĠFal cons", + "Ġcapt uring", + "ĠCert ifications", + "clip se", + "ĠNational s", + "ĠDh aka", + "ĠBron x", + "ĠF uk", + "ad vant", + "Ġre per", + "Ġlist ening", + "ĠP end", + "Ġquarter finals", + "ĠNico le", + "uther land", + "ĠMem ory", + "ĠW ilt", + "Ġbox es", + "bern atorial", + "ĠNamib ia", + "ĠSh o", + "Ġregul atory", + "ĠRecord ed", + "Ġenc ounters", + "ĠH ipp", + "ĠH of", + "ĠLaure nt", + "ĠPer kins", + "Ġst range", + "ĠRest oration", + "ĠRivers ide", + "Ġres pected", + "d ivision", + "Ġspect ators", + "ĠNeigh bor", + "Ġnar rator", + "O h", + "ĠHy per", + "Ġpossess ed", + "ĠChrist church", + "Ġw orse", + "Ġbl acks", + "ĠEl m", + "ĠPass enger", + "Ġinf ected", + "ure n", + "Ġsec uring", + "ĠCar m", + "ĠRap ids", + "Ġtrap ped", + "ĠH oney", + "Ġparam eters", + "Ġ17 94", + "Ġport al", + "ĠValent ine", + "Ġincom plete", + "run ning", + "Ġdrag on", + "ĠAss y", + "Ġal ly", + "ul ative", + "ĠW erner", + "ĠMay o", + "ĠPars ons", + "Ġcompet itor", + "alth ough", + "Ġ0 3", + "omet ric", + "ĠSy nd", + "rit e", + "ĠE vel", + "ĠApost olic", + "Ġpeace ful", + "ĠAir ways", + "keep ing", + "ĠC ram", + "Ġconf ident", + "um ont", + "FC C", + "Ġinc orrect", + "ĠRe ports", + "ĠSt ee", + "Ġsand stone", + "ĠNeigh bour", + "ĠRic ardo", + "ĠV est", + "ĠJ agu", + "Ġput s", + "Ġad vances", + "um ar", + "Ġnew er", + "Ġinstall ations", + "ĠD mit", + "G ood", + "Ġre feren", + "Ġco le", + "ĠRoy als", + "ĠY et", + "V N", + "Ġd well", + "Ġenroll ment", + "ĠRodrig uez", + "est ead", + "Ġdyn amics", + "Ġpal m", + "ĠAss am", + "ib i", + "R ock", + "ell ites", + "Ġ18 11", + "Ġang ry", + "ĠRav ens", + "Ġd ign", + "Ġarm or", + "ĠS ke", + "ĠJ ab", + "ident ified", + "Ġpage ant", + "ĠM ae", + "ĠM ood", + "Ġcolle giate", + "ĠB ooth", + "arm ed", + "Ġmeasure ments", + "Ġdef ines", + "ual a", + "ĠPres ervation", + "ĠHand book", + "Ġmar athon", + "ĠLeg ends", + "ĠM I", + "ĠD oyle", + "Ġg ig", + "Ġh urt", + "ĠNo el", + "ĠClif ford", + "Ġt ender", + "ĠK ell", + "Ġcomplex ity", + "Ġsubt ropical", + "ĠSch u", + "ĠBlack burn", + "Ġutil ized", + "Ġtort ure", + "ĠC rd", + "Ġm ood", + "Ġen abling", + "ĠVirt ual", + "Ġcoordin ates", + "Ġteam ed", + "Ġaffect ing", + "ĠT omb", + "ĠLiving ston", + "Ġinter active", + "Ġs lee", + "W S", + "im edia", + "Ġ180 8", + "ĠJak arta", + "the re", + "Ġover time", + "Ġsum mar", + "Bl ue", + "D M", + "P resident", + "ĠWild cats", + "M art", + "ĠMat ches", + "Ġpractition ers", + "ĠReg ist", + "ĠW elfare", + "rad or", + "it ivity", + "lyn n", + "Ġh aul", + "bo ats", + "l ink", + "ĠH BO", + "ĠUn known", + "ĠChrist ie", + "y am", + "ĠCh op", + "Ġopt ed", + "ail able", + "ĠMac Donald", + "Ġcomb ining", + "ĠQual ification", + "Ġlo aded", + "ĠVik ing", + "erv ed", + "ang an", + "ĠPr att", + "Ġinform al", + "Ġd ining", + "ĠJ ing", + "st a", + "ĠJ oo", + "Ġvir al", + "B er", + "ĠN K", + "H er", + "Ġtox ic", + "ĠB res", + "Ġb anner", + "am ous", + "Ġac ute", + "k ir", + "18 95", + "ev o", + "ick er", + "ĠB ally", + "ĠR ide", + "Ġshort ened", + "x imately", + "Ġs olic", + "Ġviol ations", + "Ġchar itable", + "ĠIll ustrated", + "Ġexp enses", + "od us", + "ĠJournal ism", + "ĠMos que", + "ĠAnth rop", + "p ired", + "Ġsh adow", + "ĠPart nership", + "od ont", + "ĠNe uro", + "ĠMon uments", + "ĠN J", + "ĠCal vin", + "ĠAnt iqu", + "Ġmonarch y", + "erm ark", + "Ġdi oces", + "im eter", + "ĠConstant ine", + "ĠT ouch", + "Ġspread ing", + "Ġsearch ing", + "uc ed", + "f ar", + "ĠT b", + "ĠStand ards", + "ĠCam den", + "Ġplace ment", + "ĠP emb", + "Ġpros pect", + "ĠR ider", + "ight y", + "ĠRef uge", + "l ide", + "ĠSe v", + "ĠBerks hire", + "ru z", + "ĠVol ks", + "ĠSlav ic", + "ĠZh ou", + "Ġde ity", + "ĠSalis bury", + "ĠBagh dad", + "ĠThe res", + "re v", + "ag ger", + "aw an", + "Ġer upt", + "ĠMar se", + "ĠRe formed", + "Ġto ile", + "com b", + "ĠD over", + "Ġin ception", + "at isf", + "Ġdes k", + "F irst", + "tt emberg", + "ĠN ue", + "ĠNurs ing", + "ĠSe pt", + "Ġsacrif ice", + ".. .\"", + "Ġpri zes", + "Ġsent ences", + "Ġrep ublic", + "ĠD ix", + "Ġsan ction", + "Ġexp ense", + "arl ow", + "Ġqual ifier", + "ĠSpr int", + "Ġsculpt ors", + "ĠT ran", + "im id", + "act ivated", + "Ġlo os", + "ĠM illion", + "ĠRe leased", + "s sel", + "ĠEd ith", + "Ġdis ability", + "ĠSam oa", + "son ian", + "ĠC ull", + "ĠMir ror", + "ks on", + "Ġgarn ered", + "ĠBark er", + "umb ers", + "st able", + "ib us", + "Ġp ension", + "Ġm ate", + "ĠP asha", + "ĠDe part", + "Ġtro op", + "Ġan alys", + "ĠFl int", + "Ġins u", + "ĠHaw kins", + "Ġch im", + "ĠMy ers", + "ĠP ueb", + "Ġnom inal", + "Ġcompl aint", + "ĠKer r", + "ĠPre par", + "ĠRec urring", + "Ġab d", + "ĠPack ers", + "ĠPaint ings", + "h aul", + "pect ives", + "Ġdisp at", + "ĠFac ilities", + "bird s", + "Ġkeep s", + "ough ton", + "Ġalign ment", + "ĠTri o", + "Ġconv ince", + "Ġplant ation", + "ĠB rat", + "Ġdict ator", + "ar ine", + "ĠMold ova", + "Ġc reek", + "og ues", + "Ġisol ation", + "Ġign ored", + "the l", + "ĠAppl ications", + "C al", + "L L", + "m are", + "ĠSuper intendent", + "18 99", + "ĠNewsp apers", + "ĠJud ith", + "Ġsed iment", + "Ġun official", + "f ig", + "ĠG iro", + "Ġcreat ures", + "Ġpremi ership", + "ĠArchae ology", + "ĠL amp", + "Ġrout ine", + "Ġm asters", + "ĠCatal an", + "al ach", + "Ġl od", + "ĠSw ord", + "Ġreal m", + "ĠP az", + "Ġpar ody", + "Ġp owder", + "ĠK op", + "up ta", + "inn ings", + "Ġphilanthrop ist", + "ring e", + "J ust", + "ĠL yd", + "ĠM oy", + "ĠBar th", + "Ġdiv ine", + "Ġschol arly", + "ĠSat ellite", + "o os", + "ĠTreat ment", + "o op", + "Ġimm une", + "v als", + "Ġcommemor ate", + "ĠLight ning", + "azz o", + "ĠSe ym", + "Ġnational ity", + "Ġtrack ing", + "Ġge ographic", + "ĠK ant", + "ĠRhy thm", + "ĠComp anion", + "Ġtub es", + "Ġsk aters", + "Ġres ides", + "ĠBe e", + "Ġextra ordinary", + "ĠDirector ate", + "Ġsm ugg", + "Ġexpl aining", + "is en", + "Ġ180 7", + "ĠV C", + "ĠBel ie", + "18 98", + "Ġmot ors", + "Ġl ighter", + "ter dam", + "od or", + "qu i", + "ĠCh ung", + "ĠGreen land", + "ĠAct ors", + "Ġdifferent ial", + "Ġlin king", + "am ma", + "ĠAf ro", + "ĠGra ves", + "Ġbut t", + "ĠF ate", + "ĠInt el", + "S aint", + "ĠF landers", + "ĠAzerbai jani", + "M ont", + "ĠIsab ella", + "ĠSt ations", + "Ġtext ile", + "ĠF ung", + "ĠV ie", + "Ġup grade", + "Ġ180 5", + "Ġpseud onym", + "Ġimpact s", + "Ġconsult ing", + "ĠAnt oine", + "r ath", + "ĠTur in", + "ak is", + "Ġn erve", + "ĠF rost", + "res cent", + "S O", + "Ġflo ating", + "ĠRou ge", + "Ġd os", + "ĠPione er", + "Ġpsych iat", + "in en", + "Ġfemin ine", + "Ġprin ts", + "ĠW rest", + "Ġsucceed ing", + "Ġw itch", + "ĠGu err", + "n h", + "Ġgen u", + "at ore", + "ĠHaw k", + "ĠSc outs", + "ĠInf rastructure", + "c ie", + "ge e", + "ĠLaure n", + "udd y", + "ĠRan ch", + "Ġb acks", + "Ġb ike", + "ĠIm ag", + "x ford", + "p ace", + "os i", + "ill as", + "Ġsk illed", + "Ġhe ating", + "hes is", + "ĠSp y", + "Ġen erg", + "ĠSom alia", + "Ġbi ographical", + "ĠLe h", + "s ka", + "Ġ2022 23", + "ĠRaj ast", + "it one", + "ĠList ed", + "Ġevac uated", + "ĠReg ina", + "ĠPre c", + "ĠO val", + "iss ues", + "Ġd ome", + "ĠF ors", + "Ġsong writing", + "Ġ13 5", + "ĠHow e", + "Ġb und", + "ĠV era", + "feat uring", + "Ar ch", + "Ġpre vention", + "Ġlack ing", + "b ons", + "Ġteen ager", + "ĠC aval", + "Ġ17 0", + "ar ro", + "ĠB ant", + "th or", + "orn o", + "ous and", + "ĠCey lon", + "og i", + "ĠP ter", + "ĠT ae", + "ĠH ague", + "b ug", + "Ġmel ody", + "Ġaest hetic", + "Ġpod ium", + "Ġdis qual", + "let ter", + "Ġstrict ly", + "ĠK ara", + "ard ing", + "ĠOr t", + "i ad", + "Ġsh r", + "ĠE gg", + "Ġsub ordin", + "ĠGe ological", + "ĠHuman ities", + "Ġto m", + "Ġs ometime", + "Ġw onder", + "V I", + "ĠCh ong", + "Ġrel ax", + "ĠNorm andy", + "ĠHale akala", + "ĠJ up", + "ra ul", + "Ġmag ist", + "ĠAlf onso", + "ool s", + "ĠTra ffic", + "Ġsystem atic", + "Ġexcess ive", + "Ġdes per", + "Ġbus y", + "Ġmet ro", + "ĠMagn us", + "L ife", + "Ġbig ger", + "ĠMed ic", + "H R", + "Ġteen age", + "Ġel ong", + "ĠBever ly", + "or an", + "ĠFlem ish", + "ĠFeat ures", + "oin ing", + "Ġfolk lore", + "ĠUn ity", + "Ġl oyalty", + "ne g", + "Ġrelig ions", + "Ġto ugh", + "Ġcouncill or", + "ĠDyn amo", + "ch annel", + "ĠKar achi", + "Ġovers aw", + "ĠFitzg erald", + "ĠRiver a", + "Ġret aining", + "ĠAss ess", + "v ir", + "ĠK ut", + "ĠGlou cestershire", + "ey er", + "ĠBy r", + "Ġdefeat s", + "Ġpe aking", + "Ġinter rog", + "an u", + "Ġman eu", + "Ġcont empor", + "Ġdream s", + "y ards", + "ĠInter active", + "ĠR ath", + "s ung", + "ĠBeh ind", + "h ole", + "Ġb ail", + "Ġn as", + "f al", + "Ġreform ed", + "Ġh iatus", + "her ty", + "Ġseason al", + "auth ored", + "Ġcorpor ations", + "ĠJul es", + "Ġconsolid ated", + "ie le", + "Ġwood s", + "e aux", + "ong a", + "Ġchrom os", + "Ġprogress ed", + "Ġt urt", + "Ġdem olition", + "ĠCol ts", + "ĠN amed", + "Ġbo om", + "ĠHand ball", + "ĠSim mons", + "Ġdisch arge", + "ĠChe ro", + "ĠBe ir", + "ĠPr as", + "d ict", + "EE E", + "own ers", + "ĠGreen wich", + "ĠL atter", + "ĠCricket ers", + "ĠRah man", + "ical s", + "Ġpath s", + "Ġ180 2", + "ĠFern ndez", + "Ġst amps", + "bro ther", + "Ġplat inum", + "ĠShep herd", + "ĠPe g", + "Ġconstitut ed", + "Ġcl oth", + "osa urs", + "Ġri ot", + "t ier", + "Ġprol ific", + "ĠGer ard", + "Ġcountry side", + "ĠLu ft", + "Ġstrong est", + "ĠG ru", + "Ġmin ers", + "Ġvi ola", + "ĠTer esa", + "ĠD ru", + "Ġ17 89", + "ĠWater loo", + "Ġeth ics", + "ĠIn tern", + "Ġsix ty", + "Ch ief", + "Ġwel comed", + "Ġa unt", + "ack er", + ") ||", + "ĠIn sp", + "ĠG ros", + "ĠR onnie", + "Ġval ued", + "ĠUl tra", + "Ġactiv ism", + "ĠElect ronics", + "ol ves", + "Ġpeak s", + "ĠRes olution", + "Ġprof its", + "Ġcyl inder", + "ĠWal ton", + "Ġpoly mer", + "Ġintegr ity", + "ĠCatal onia", + "ĠW ah", + "ud s", + "Ġmod ifications", + "f u", + "ĠQuarter ly", + "F O", + "ĠR O", + "ĠActiv ities", + "ĠC able", + "Ġaster oid", + "Ġident ifying", + "ĠSteel ers", + "M r", + "ĠDon na", + "Ġult imate", + "od ied", + "Ġ2008 09", + "Ġprec ise", + "ai res", + "ĠL ill", + "pro ducer", + "it ate", + "Ġmon k", + "Ġvill ain", + "ab ar", + "ĠL ik", + "Ġles bian", + "ian ces", + "ĠCret aceous", + "y ang", + "ĠM ugh", + "ĠCarl isle", + "Ġapp lying", + "ĠMaj esty", + "Ġ180 4", + "Ġhop ing", + "Ġcann on", + "Ġst om", + "ĠOb ject", + "Ġrevers ed", + "ĠPl ays", + "ĠGe ology", + "Ġorgan s", + "ĠAl am", + "ĠLag os", + "Un iversity", + "n ell", + "ist ically", + "Ġfin ishes", + "ĠBy ron", + "Ġpre ference", + "Ġs her", + "Ġqu ar", + "Ġportray al", + "ĠC rypt", + "Ġh oly", + "Ġprec urs", + "ĠC ors", + "ĠBullet in", + "Ġcolumn ist", + "ote chn", + "Ġastron omer", + "Ġdispl aced", + "ĠWrit ten", + "Ġevery day", + "ĠOk in", + "ĠFle ming", + "ĠHob art", + "Ġcon ced", + "ĠC reat", + "ĠG aul", + "Ġdef ault", + "Ġimpro v", + "ĠRub y", + "Ġf ake", + "ĠPlay offs", + "ae v", + "Ġinv ention", + "ĠSup erv", + "Ġterm ed", + "qu el", + "Ġpersu aded", + "Ġtonn es", + "Ġ17 96", + "ĠSat urn", + "ĠAbb ott", + "Ġd iab", + "ĠLincoln shire", + "U M", + "ĠPo z", + "Ġrac ism", + "Ġrock y", + "Ġcor ridor", + "Ġsett ling", + "Ġexpert ise", + "ĠLe ct", + "ĠBanglades hi", + "Ġt ales", + "9 00", + "ĠMon aco", + "ĠMid night", + "Ġse as", + "s un", + "Ġrepl ied", + "Ġwar rant", + "ĠTechn ologies", + "Ġgener ic", + "m u", + "ĠRel ief", + "Ġd ivid", + "ĠD iane", + "ĠStir ling", + "ĠP urd", + "ĠMult iple", + "Ġf ever", + "Ġbl amed", + "S o", + "Ġmin iseries", + "c ule", + "Ġo g", + "Ġcur ved", + "ul g", + "Ġdiss ertation", + "ĠChero kee", + "ious ly", + "ĠM anning", + "Ġpart ition", + "Ġthough ts", + "i ov", + "d ig", + "ĠEc ology", + "Ġlandsc apes", + "Ġaut onomy", + "Ġdom ains", + "ps y", + "Ġsubstant ially", + "Ġannex ed", + "Ġcol ored", + "Ġdet ained", + "Ġun rest", + "ĠMcC l", + "Ġrem arked", + "Ġarc ade", + "ra id", + "Ġbe ings", + "ar as", + "Ġbu ff", + "play ed", + "c n", + "ĠH anc", + "L ittle", + "ĠB am", + "ĠS ometimes", + "Ġremn ants", + "ce phal", + "ĠG aza", + "Ġke ys", + "ĠIs abel", + "ĠSp in", + "ĠBol iv", + "Ġappl ies", + "ĠRot terdam", + "Ġ12 3", + "Ġrob ust", + "ye ong", + "ĠP BS", + "ĠNorm al", + "g reat", + "un ts", + "Ġemploy er", + "b ore", + "ĠHigh lands", + "Ġag gress", + "ĠProgram s", + "ĠAugust ine", + "Ġ/ /", + "ĠChrist ina", + "Ġg ifts", + "ĠPengu in", + "Ġp ic", + "Ġ2 20", + "Ġceleb rities", + "Ġfre ely", + "ĠN ah", + "ĠMar i", + "s pring", + "Ġlaunch ing", + "c as", + "Ġfilm ography", + "D es", + "C ity", + "Ġst uff", + "pl ays", + "ĠH ors", + "re qu", + "ĠJ ans", + "ac ia", + "ĠPe oples", + "Ġ17 80", + "ric anes", + "ĠLe in", + "f ax", + "ĠSn chez", + "Ġf itness", + "ĠHold ings", + "et ed", + "ican a", + "Ġtrans mitted", + "Ġcomple ment", + "ĠV ert", + "ĠUS L", + "ĠA id", + "ol om", + "Ġbro w", + "Ġmineral s", + "ĠQ ub", + "Ġele venth", + "ys s", + "ĠBru ins", + "ĠRuss ians", + "int ro", + "Ġinspe ction", + "ĠB iden", + "ĠLif etime", + "ĠIps wich", + "Ġdif fers", + "ĠZ rich", + "ĠHel m", + "Ġw ounds", + "ĠAb s", + "Ġide ology", + "Ġlegit imate", + "ĠOpen ing", + "Ġcont am", + "am ph", + "Ġterm inology", + "Ġmodel ing", + "ĠMe y", + "ĠPe er", + "le ading", + "Ġuniform s", + "um per", + "ĠFerr ari", + "e ason", + "ĠO C", + "ĠMoz art", + "ĠMal i", + "ĠId ol", + "ĠD ied", + "T I", + "Ġcommun icate", + "ĠStevens on", + "Ġac cent", + "Ġsurpr ising", + "Ġsovere ignty", + "T unes", + "ĠL up", + "it ism", + "ĠFl ood", + "ĠT R", + "Ġcon sole", + "ĠAfter wards", + "ĠA val", + "ĠCl ose", + "an ium", + "ĠCatholic ism", + "Ġexpect ations", + "ĠMer chant", + "arn ation", + "k le", + "w at", + "Ġbr illiant", + "ĠFilm ing", + "h ara", + "Ġbl ank", + "oz o", + "ic ides", + "Ġwh atever", + "az ing", + "ĠJud y", + "Ġlos es", + "ĠMir anda", + "ĠHer b", + "Ġtact ical", + "ĠAl most", + "s ome", + "ĠS EC", + "Ġgra vity", + "ĠDecl aration", + "l op", + "Ġ17 95", + "me z", + "Ġchem ist", + "ĠEl im", + "Ġne o", + "ĠSeym our", + "Wh ite", + "ort ed", + "K e", + "Ġqual ities", + "Ġappro aching", + "ĠKn own", + "ĠDr um", + "ening rad", + "Ġre ly", + "ĠML S", + "Ġdis abilities", + "ay ev", + "ĠAn ch", + "ĠPay ne", + "ij k", + "ĠRow ing", + "Ġ17 92", + "Ġte aches", + "ert iary", + "Ġo val", + "Ġcont ing", + "r k", + "ploy ed", + "e ches", + "ĠStafford shire", + "Ġc it", + "Ġwaters hed", + "Ġv ib", + "ib al", + "ĠMon arch", + "Ġswe pt", + "ion es", + "ĠR aven", + "18 97", + "id ium", + "ĠP itch", + "ĠAust ro", + "ipp on", + "ĠPolytechn ic", + "-- --", + "Ġmon op", + "ĠRank ings", + "Ġbl ast", + "Ġprecip itation", + "ĠShoot ing", + "ĠG ore", + "Ġim aging", + "F I", + "Ġfin ancing", + "ĠN gu", + "Ġ4 50", + "Ġsex ually", + "Ġwood land", + "ĠJul iet", + "ĠA AA", + "ĠAll ies", + "it le", + "Ġres emble", + "ĠLah ore", + "ĠGill es", + "Ġpost al", + "Ġplan ets", + "Ġquant ity", + "to ire", + "Ġrepe at", + "dire ctor", + "ĠMorm on", + "for th", + "b ott", + "x x", + "ung a", + "Ġw age", + "Ġdiscuss ing", + "ĠGo al", + "Ġche ese", + "Ġdec om", + "Ġtw elfth", + "Ġ1 19", + "Ġis n", + "Ġsurve ys", + "v ik", + "z ew", + "Ġeffect iveness", + "Ġh oney", + "ĠAr row", + "ĠCh ow", + "Ġaccept ing", + "ĠBe aver", + "fl ower", + "ĠE MI", + "chen ko", + "Ġsupposed ly", + "Ġdeal er", + "Ġspr ings", + "Ġflow ing", + "Ġgener ating", + "Ġcomb ine", + "ĠGr im", + "gra ve", + "ĠPerman ent", + "ank a", + "ĠSign al", + "Ġt ends", + "ĠW et", + "ĠZamb ia", + "Ġsan ctuary", + "b ilt", + "Ġtens ions", + "f an", + "10 1", + "Ġdest inations", + "Ġcom eb", + "Ġfact o", + "Ġplaywright s", + "Ġteam mates", + "l ord", + "ĠMart nez", + "Ġb ol", + "ĠKy oto", + "ĠGu ill", + "ĠColl ier", + "Ġe y", + "orne ys", + "ĠT ram", + "Ġim per", + "Ġnerv ous", + "ĠC ove", + "Ġpurs uing", + "Ġspir its", + "ĠJub ilee", + "Ġapp ar", + "Ġmonarch s", + "Ġship ped", + "Ġsuperv ised", + "Ġout comes", + "ĠH ier", + "Ġper f", + "Ġe ase", + "ĠSter ling", + "Ġrecommend ation", + "sh ort", + "rad a", + "ĠIsland er", + "ĠLex ington", + "ĠB ax", + "Ġatt ained", + "ĠLaure nce", + "ĠI rene", + "18 96", + "vent ions", + "Ġmist ake", + "Ġit al", + "pe x", + "ĠN er", + "h ak", + "Ġtra ct", + "Ġemot ions", + "Ġh alt", + "Ġout s", + "ĠF arn", + "ĠG ale", + "Ġund ers", + "Ġcor re", + "Ġcr ater", + "Ġth reshold", + "c ery", + "Ġany where", + "B ra", + "ĠCom ing", + "ĠIs les", + "Pac ific", + "ĠS EA", + "Ġcult ivation", + "og enes", + "Ġlim itations", + "Ġn itro", + "ĠV ista", + "ĠH K", + "all ow", + "ich t", + "ed ge", + "12 5", + "Ġmed ic", + "or ie", + "ĠWorld s", + "Ġsil k", + "Ġm igrated", + "ĠN ish", + "act yl", + "Ġreg ulated", + "ĠAll ison", + "ĠRob b", + "ĠCorpor ate", + "ĠNaz is", + "Ġd in", + "Ġresemb les", + "Ġcomed ians", + "efe ated", + "ij n", + "Ġco e", + "Ġadm iral", + "ĠG ent", + "a it", + "k ill", + "ay ama", + "Ġoff shore", + "Ġrif les", + "Ġvill agers", + "Ġtechn ological", + "Ġanaly st", + "ĠF ork", + "ion i", + "ante ed", + "Ġb ark", + "ck i", + "ĠRang er", + "Ġcr ust", + "ĠSmith sonian", + "gu ard", + "l argest", + "oll a", + "Ġadvent ures", + "Ġbes ide", + "ĠEdu ardo", + "Ġt u", + "cul osis", + "ĠT orn", + "Ġliber ation", + "ĠP ip", + "ĠTransl ation", + "I m", + "ĠJud ges", + "ĠPa olo", + "ĠPh antom", + "Ġinstitut es", + "ĠBow ie", + "ĠR M", + "Ġsc rapped", + "Ġb ust", + "ĠH ess", + "Ġsurpr ised", + "ets u", + "ĠS ung", + "ĠPro ceed", + "ĠOcean ia", + "Ġcon stitute", + "ĠIm ages", + "Ġdist ances", + "ĠMa o", + "ay at", + "D own", + "ĠCons ort", + "ĠA E", + "ĠL ance", + "ĠBar r", + "Ġinsu fficient", + "ĠNig el", + "ĠTuls a", + "ĠCommod ore", + "ĠN ice", + "ĠTh anks", + "ĠMet eor", + "ag us", + "Ġcard inal", + "ĠR unners", + "ul ent", + "ĠPil ot", + "Ġemp ower", + "Ġsevent een", + "Ġl ots", + "Ġf ro", + "ons on", + "Ġcar b", + "Ġsyn chron", + "n ance", + "Ġre hears", + "av ior", + "Ġso ils", + "Ġcirc a", + "Ġd ances", + "Ġtrans gender", + "b ler", + "j as", + "ĠJ ury", + "Ġbotan ist", + "Ġcompet es", + "ĠRh in", + "Ġcou rage", + "urn ame", + "Ġmot ivated", + "Ġdocument ation", + "ad u", + "ow l", + "Ġre habilitation", + "ĠMult i", + "ov al", + "ĠLaf ayette", + "ĠPur ple", + "ĠDe vi", + "it ra", + "ĠT ip", + "ĠBang alore", + "ĠS au", + "ĠBah rain", + "Ġtr unk", + "Ġstop ping", + "Ġpharm ac", + "b is", + "ĠD ash", + "Ġimag ery", + "ĠQu ad", + "ĠF ind", + "ĠT art", + "yr s", + "Ġclass room", + "Ġpione ering", + "mill an", + "ĠS utherland", + "ĠWe iss", + "ĠDom estic", + "Ġorigin ating", + "ac ul", + "Ġreg ards", + "ĠSt ones", + "Ġn it", + "ĠCo aches", + "erg arten", + "Amer ica", + "ĠRob ot", + "Ġcontrovers ies", + "Ġoverwhel ming", + "ĠTact ical", + "ĠL ights", + "Ġoccup y", + "Ġdiscipl ines", + "enc ers", + "ĠH aus", + "ĠCh att", + "ĠN aw", + "ĠY o", + "ĠJ ill", + "pl an", + "ar ie", + "Ġec clesiastical", + "ĠCon sequently", + "eli hood", + "h m", + "ĠM ental", + "Ġcontact ed", + "Ġmaid en", + "rape ut", + "Ġcould n", + "ĠSund erland", + "Ġinstru cted", + "ĠI gor", + "le af", + "h oe", + "Ġcour ty", + "its ch", + "ĠGo a", + "U s", + "ĠExper imental", + "Ġtong ue", + "ĠD ais", + "ĠRe ar", + "ĠD ut", + "ĠS my", + "Ġbreak through", + "ol ve", + "Ġt unnels", + "od ay", + "ĠSe y", + "Ġtra ced", + "us ually", + "Ġa ided", + "Ġell ip", + "k op", + "Ġexcept ional" + ] + } +} \ No newline at end of file diff --git a/models/components/layers/tokenizer_models/bpe_en_wiki_2600_simplified.model b/models/components/layers/tokenizer_models/bpe_en_wiki_2600_simplified.model new file mode 100644 index 00000000..fb6008a0 --- /dev/null +++ b/models/components/layers/tokenizer_models/bpe_en_wiki_2600_simplified.model @@ -0,0 +1,5194 @@ +{ + "version": "1.0", + "truncation": null, + "padding": 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"Ġp h", + "Ġin c", + "ment s", + "Ġth an", + "ĠS chool", + "amp ion", + "tern ational", + "u ro", + "ĠG erman", + "ĠM e", + "a x", + "is e", + "Ġf our", + "p os", + "Ġ &", + "ĠN ov", + "Ġs eries", + "ĠJ u", + "Ġbe ing", + "Ġs ome", + "ur ch", + "Ġle ad", + "Ġ| -", + "Ġb l", + "Ġp opul", + "Ġ .", + "e ver", + "ĠW est", + "ut e", + "Ġc all", + "Ġs ong", + "ay s", + "Ġinclud ing", + "ot her", + "j ect", + "le t", + "et h", + "Ġgro up", + "Ġagain st", + "a e", + "Ġw ell", + "are er", + "Ġd o", + "i ke", + "Ġap pe", + "ĠP ol", + "ĠA fter", + "b orn", + "Ġde ath", + "ug ust", + "Ġac c", + "ar ri", + "Ġc ount", + "t y", + "Ġc re", + "ction s", + "ian s", + "ĠP r", + "u ary", + "ĠW h", + "am ed", + "pt ember", + "ĠAust ral", + "v en", + "st em", + "at her", + "t il", + "ĠY ork", + "ar n", + "ire d", + "ul l", + "b y", + "m y", + "er ed", + "r id", + "ver y", + "ut ion", + "e y", + "ĠA ugust", + "Ġbe fore", + "ĠBrit ish", + "Ġre ce", + "= \"", + "ĠO ct", + "el s", + "Ġ1 2", + "Ġad d", + "Ġwh ile", + "r ist", + "Ġs ur", + "ĠSe ptember", + "Ġs ign", + "Ġpol it", + "iv es", + "ĠMar ch", + "overn ment", + "00 0", + "Ġb ro", + "Ġde c", + "Ġsh ow", + "ĠC ent", + "a id", + "Ġoff ic", + "Ġbu ild", + "Ġde velop", + "Ġo per", + "ĠOct ober", + "olog y", + "Ġg o", + "el f", + "Ġfam ily", + "Ġun til", + "Ġc ap", + "le v", + "ĠM an", + "x t", + "Ġm usic", + "Ġm ay", + "pr il", + "iz ed", + "ow ever", + "ĠJ une", + "a u", + "r and", + "Ġo wn", + "f ess", + "Ġn o", + "Ġre p", + "ĠJan uary", + "ic a", + "Ġor ig", + "er y", + "Ġm ain", + "m ber", + "Ġm od", + "Ġh igh", + "ĠAs s", + "ĠJu ly", + "en g", + "ĠAl l", + "Ġbir ths", + "emb ers", + "ĠC ar", + "1 0", + "l ish", + "ist or", + "Ġch ar", + "Ġb oth", + "ĠN orth", + "Ġplay ed", + "olle ge", + "Ġm on", + "Ġman y", + "Ġnum ber", + "ot t", + "et s", + "ĠC o", + "ĠLe ague", + "Ġex p", + "om an", + "Ġn ame", + "ut h", + "ampion ship", + "ĠA pril", + "cent ury", + "ward s", + "Ġb ack", + "Ġ19 2", + "ant s", + "v ed", + "i ent", + "ĠCan ad", + "ĠE uro", + "it t", + "ĠSe e", + "Ġrele ased", + "ce mber", + "Ġe m", + "st ru", + "ĠG u", + "ain ed", + "ĠB o", + "en e", + "i or", + "p le", + "Ġg u", + "g ram", + "1 7", + "ĠE d", + "is c", + "Ġfor mer", + "ĠC ol", + "ĠNov ember", + "it al", + "Ġse ver", + "iss ion", + "ĠA m", + "ĠEng lish", + "Ġan n", + "Ġw on", + "i um", + "in es", + "e c", + "he s", + "port s", + "Ġdes ign", + "p or", + "ic ip", + "ce pt", + "ĠRe g", + "ĠW ill", + "ĠDe cember", + "Ġm at", + "ĠC ity", + "Ġ1 4", + "ra ct", + "ĠF l", + "aj or", + "Ġdes c", + "y l", + "ros s", + "Ġ1 3", + "Ġl ife", + "Ġare a", + "im es", + "ir d", + "Ġst art", + "ĠC al", + "ĠA f", + "Ġor gan", + "r is", + "duc ed", + "Ġop en", + "Ġf eat", + "are d", + "ĠSt ate", + "re t", + "f l", + "Ġg ame", + "ag es", + "Ġd if", + "v ent", + "res ident", + "Ġr un", + "k et", + "u es", + "Ġfilm s", + "l ed", + "ro p", + "Ġpro du", + "p art", + "Ġ1 1", + "ar m", + "et y", + "Ġm en", + "Ġ201 0", + "Ġcl ass", + "ograph y", + "Ġ2 1", + "y le", + "Ġex t", + "ap an", + "il t", + "eb ru", + "Ġs m", + "lev ision", + "ebru ary", + "Ġpubl ic", + "un g", + "ĠK ing", + "ĠI I", + "Ġst ate", + "Ġsy stem", + "ĠP ar", + "Ġl ong", + "Ġo b", + "ual ly", + "Ġd r", + "ar ch", + "ĠB ro", + "f ul", + "Ġf inal", + "Ġc areer", + "il it", + "n er", + "ĠH is", + "Ġs ame", + "ul ar", + "an c", + "a use", + "Ġcall ed", + "am b", + "vi ew", + "Ġfollow ing", + "ĠF ebruary", + "in c", + "z e", + "ov e", + "y n", + "Ġret urn", + "Ġf in", + "on y", + "Ġc ity", + "Ġw ill", + "iv ision", + "ĠEuro pe", + "ĠS w", + "a f", + "h ip", + "Ġch ild", + "r at", + "al es", + "ak ing", + "Ġsever al", + "Ġcomm un", + "ren ch", + "il ity", + "Ġw omen", + "re nt", + "oin t", + "ĠM ed", + "or ks", + "ĠJ apan", + "s p", + "an ge", + "ch n", + "ial ly", + "c om", + "c on", + "ure d", + "Ġl ist", + "Ġs uc", + "ĠGe or", + "p ed", + "Ġe arly", + "Ġa ir", + "ĠB ar", + "Ġcont in", + "Ġ '", + "Ġto wn", + "Ġcomp et", + "Ġcl ub", + "ĠE l", + "Ġm in", + "Ġres ult", + "h am", + "ib le", + "1 2", + "ĠA nd", + "ĠH ar", + "ĠH istory", + "is ed", + "al ly", + "Ġs ince", + "ic es", + "ain s", + "st er", + "19 9", + "ĠThe y", + "ĠP art", + "b o", + "r ing", + "Ġn ear", + "ang u", + "Ġn amed", + "Ġorig inal", + "end ed", + "u ed", + "ĠCh rist", + "at a", + "Ġhe ad", + "ĠA b", + "1 6", + "Ġb el", + "Ġdis c", + "Ġpl ace", + "ĠF rench", + "id ed", + "i ence", + "Ġ201 1", + "ĠRe p", + "Ġc ur", + "Ġbe gan", + "il le", + "Ġt it", + "Ġus e", + "iv al", + "an e", + "re en", + "Ġpro gram", + "ĠU S", + "Ġv ill", + "Ġm ember", + "Ġm embers", + "1 5", + "Ġp rom", + "Ġhe ld", + "Ġan y", + "Ġl and", + "ĠCom p", + "Ġb ased", + "ain t", + "ĠR es", + "ĠM c", + "Ġthe se", + "Ġcomp le", + "b le", + "Ġap p", + "m e", + "Ġsup port", + "oun c", + "ĠAf ric", + "al ity", + "Ġg overnment", + "r ight", + "Ġ200 8", + "ĠR uss", + "Ġm et", + "Ġ201 2", + "Ġw e", + "ĠR o", + "a ugh", + "Ġ19 0", + "ĠA ir", + "Ġestabl ished", + "i ous", + "Ġal ong", + "Ġe ff", + "t he", + "Ġ ,", + "ĠE ast", + "ĠCh ampionship", + "Ġdesc rib", + "T he", + "in ess", + "Ġen g", + "ition s", + "ĠC ollege", + "Ġp ass", + "ĠWill iam", + "ĠG en", + "an a", + "od e", + ". .", + "Ġd ist", + "pe ct", + "al th", + "ad em", + "Ġ200 9", + "Ġloc ated", + "ur g", + "u k", + "ĠThe re", + "at or", + "ical ly", + "ĠH er", + "or m", + "ac ed", + "Ġd id", + "Ġl aw", + "in o", + "Ġc ol", + "Ġo cc", + "Ġchar act", + "che s", + "f ord", + "ĠAr t", + "c ol", + "at s", + "i en", + "ubl ic", + "ĠP eople", + "Ġp os", + "Ġy ou", + "Ġ201 3", + "ond on", + "ĠN e", + "oci ation", + "ĠIt al", + "Ġ200 6", + "Ġ200 7", + "Ġh ouse", + "Ġe ach", + "t o", + "ĠH igh", + "ing ton", + "ore d", + "Ġ201 4", + "ro w", + "Ġ201 6", + "Ġserv ed", + "our t", + "ĠF ilm", + "Ġto ok", + "qu e", + "Ġs im", + "k y", + "Ġ X", + "1 4", + "ĠRe c", + "Ġb and", + "Ġt r", + "Ġst ation", + "Ġh ome", + "ĠD istrict", + "Ġb us", + "av ing", + "ĠS y", + "ĠIn ternational", + "Ġb orn", + "Ġg ames", + "Ġn ational", + "m ed", + "ly mp", + "i et", + "ĠA c", + "Ġin st", + "Ġ201 5", + "re w", + "er g", + "Ġpro fess", + "in ed", + "Ġ201 8", + "ight s", + "p s", + "Ġcomp any", + "Ġl ine", + "Ġp erson", + "1 3", + "ĠO lymp", + "Ġpopul ation", + "Ġm ajor", + "Ġ18 9", + "ac es", + "our n", + "Ġ20 20", + "ĠD av", + "ill ion", + "ĠL iving", + "ĠL ondon", + "Ġ201 7", + "ĠSe c", + "Ġs l", + "Ġb as", + "Ġj oin", + "Ġsm all", + "Ġle g", + "Ġloc al", + "ĠInd ian", + "ĠL a", + "ard s", + "Ġv ari", + "Ġrece ived", + "Ġde b", + "Ġev ent", + "Ġ2 5", + "Ġgen eral", + "Ġman ag", + "Ġpubl ished", + "Ġte levision", + "ĠC up", + "et t", + "Ġcent ury", + "ĠN ot", + "ilit ary", + "s ide", + "et er", + "Ġ3 0", + "at ure", + "Ġ201 9", + "Ġsing le", + "Ġbu ilt", + "ĠS up", + "Ġv i", + "ĠPh il", + "a ul", + "Ġd ue", + "Ġc ould", + "Ġv ers", + "ĠH owever", + "Ġ $", + "Ġap pro", + "ar ge", + "Ġw orld", + "Ġspec ies", + "ar a", + "Ġc olle", + "um n", + "Ġsuc cess", + "ie f", + "ounc il", + "Ġp o", + "v ers", + "Ġst r", + "in t", + "Ġa round", + "ord ing", + "if ied", + "ĠA ng", + "uth or", + "id es", + "at ely", + "om in", + "ĠG l", + "Ġo ld", + "Ġed uc", + "ĠT r", + "arri ed", + "ĠL ist", + "ĠN o", + "Ġt erm", + "is on", + "ro l", + "ĠC or", + "um mer", + "Ġa ge", + "ff ic", + "l ing", + "ĠT ra", + "ĠH ouse", + "Ġhe l", + "Ġal ign", + "Ġe p", + "ord s", + "e f", + "oc ial", + "ĠP ark", + "r ation", + "Ġp resent", + "ĠP re", + "Ġle ft", + "Ġl ast", + "Ġs ix", + "ĠE n", + "Ġh istory", + "Ġn ow", + "i od", + "a im", + "Ġs aid", + "ĠS an", + "Ġt y", + "Ġ200 0", + "Ġrep resent", + "re et", + "a us", + "id d", + "ra ft", + "t t", + "Ġd ied", + "Ġplay er", + "op h", + "Ġ 0", + "Ġre st", + "1 1", + "Ġc amp", + "iz ation", + "ĠD uring", + "Ġc ar", + "Ġl a", + "um b", + "angu age", + "Ġto p", + "ne y", + "Ġp ar", + "ĠB r", + "on es", + "Ġvill age", + "Ġwith in", + "ĠM ich", + "Ġd et", + "iv en", + "Ġst yle", + "Ġf ive", + "Ġ200 5", + "Ġt ri", + "Ġn orth", + "Ġsh ort", + "Ġ2 4", + "v an", + "ĠR oy", + "Ġor der", + "ide o", + "Ġ18 8", + "Ġd ay", + "in k", + "ĠD es", + "o ks", + "et her", + "u f", + "Ġdescrib ed", + "ak es", + "s c", + "ow s", + "ur ther", + "19 8", + "ent ly", + "Ġth ird", + "Ġbuild ing", + "al k", + "Ġinclud e", + "ĠR iver", + "Ġinclud ed", + "Ġp ost", + "um ent", + "Ġd own", + "ast er", + "if orn", + "ĠP er", + "Ġdif fer", + "d ay", + "he m", + "ĠA g", + "Ġchild ren", + "Ġre port", + "ur s", + "ĠEng land", + "c o", + "ĠCh ar", + "Ġ202 1", + "att le", + "Ġre f", + "vi ous", + "Ġre qu", + "ĠS ch", + "ĠA ct", + "n a", + "er a", + "feren ce", + "Ġbec ause", + "ke y", + "t ain", + "iforn ia", + "Ġad m", + "ĠB y", + "th ough", + "Ġann oun", + "Ġl arge", + "Ġcons id", + "iv ely", + "re g", + "ĠG ro", + "ĠM al", + "Ġs outh", + "g round", + "Ġs on", + "ĠAustral ia", + "Ġ200 4", + "ic o", + "Ġd em", + "rid ge", + "ri end", + "Ġd istrict", + "ĠCal ifornia", + "l er", + "col or", + "Ġst and", + "ĠP ort", + "ĠB ra", + "Ġm ark", + "ĠM on", + "os p", + ". ,", + "use um", + "ct ure", + "Ġar ch", + "Ġp ower", + "inn ing", + "Ġst at", + "Ġbo ok", + "uc k", + "od y", + "ĠY ou", + "ĠPart y", + "en cy", + "Ġl o", + "Ġdeath s", + "ri pt", + "Ġ202 2", + "Ġc rit", + "ad io", + "it er", + "part ment", + "land s", + "in ing", + "Ġw ar", + "con om", + "um an", + "Ġappe ar", + "Ġc or", + "ĠD em", + "Ġm ale", + "Ġl arg", + "k a", + "Ġis s", + "ĠR oman", + "re st", + "Ġ18 6", + "Ġj ust", + "ist er", + "Ġ2 2", + "Ġre pl", + "ĠB el", + "c er", + "al d", + "al f", + "Ġw ater", + "Ġserv ice", + "g ed", + "Ġper iod", + "Ġn on", + "Ġper form", + "Ġadd ition", + "n ess", + "Ġres p", + "v es", + "Ġk ill", + "am ent", + "oci ety", + "ĠA nt", + "Ġde p", + "ee k", + "Ġv is", + "he l", + "our s", + "e le", + "Ġre fer", + "ĠS m", + "a ff", + "er ing", + "ĠO ne", + "Ġmov ed", + "ĠA ward", + "en se", + "Ġc r", + "ĠE m", + "Ġdiffer ent", + "iz e", + "Ġcur rent", + "ĠAustral ian", + "Ġro und", + "Ġl ike", + "ot e", + "rib ut", + "5 0", + "ĠAr my", + "Ġ2 3", + "Ġinc re", + "om b", + "Ġm illion", + "Ġl ed", + "k i", + "l ine", + "ĠN or", + "p ar", + "Ġt rad", + "Ġbus iness", + "am a", + "ĠA cc", + "t al", + "av y", + "her n", + "ĠM inist", + "Ġan other", + "Ġth ose", + "o on", + "Ġh istor", + "ĠR ober", + "op s", + "o f", + "Ġsh ip", + "Ġ18 7", + "Ġe qu", + "Ġst ill", + "and er", + "Ġ if", + "Ġf ather", + "Ġ el", + "Ġf ield", + "Ġw est", + "ĠJ ames", + "Ġd el", + "ĠInd ia", + "Ġex per", + "Ġa uthor", + "i ber", + "ĠM or", + "ĠSt e", + "d e", + "ep end", + "Ġf ac", + "c hed", + "iv il", + "Ġact iv", + "Ġh and", + "Ġcomp os", + "ĠCh urch", + "ĠM usic", + "Ġbe st", + "ĠGen eral", + "ĠFran ce", + "Ġp ort", + "Ġk m", + "o x", + "Ġannoun ced", + "Ġin ternational", + "Ġdeb ut", + "stru ction", + "Ġtit le", + "Ġcount ry", + "d om", + "ĠQ u", + "Ġs old", + "Ġf em", + "ĠTh om", + "Ġw in", + "as es", + "Ġ200 3", + "v ille", + "Ġ( )", + "Ġestabl ish", + "ĠY ear", + "19 7", + "u el", + "Ġcharact er", + "Ġe ast", + "Ġpolit ic", + "ĠGeor ge", + "ĠD ivision", + "f ield", + "un icip", + "us h", + "Ġs ide", + "c ast", + "Ġp at", + "Ġd ra", + "b e", + "ĠRoy al", + "Ġc ult", + "ourn al", + "ĠA p", + "an ish", + "re ad", + "Ġn ov", + "Ġa v", + "g color", + "Ġpre vious", + "ĠM ount", + "g in", + "Ġm ake", + "ĠEurope an", + "Ġ very", + "ri es", + "a el", + "ĠQ ue", + "ĠP e", + "ort hern", + "Ġa ward", + "ĠCl ub", + "ĠCanad ian", + "Ġset t", + "ug g", + "ĠAc adem", + "Ġele ction", + "Ġpro ject", + "ip p", + "l in", + "le x", + "ĠP al", + "Ġam ong", + "m s", + "ap p", + "ab or", + "Ġw orks", + "ĠV al", + "ĠG r", + "Ġ2 6", + "ĠCanad a", + "Ġ200 2", + "ĠE le", + "i us", + "ĠR ich", + "Ġf r", + "al ign", + "Ġro le", + "g es", + "Ġpro duced", + "ĠW hen", + "w ork", + "ĠP aul", + "Ġf e", + "Ġm ag", + "pl oy", + "for man", + "Ġle vel", + "ĠB u", + "o ff", + "Ġof ten", + "ol ution", + "Ġa ff", + "Ġl ate", + "Ġs pe", + "Ġre ad", + "Ġw eb", + "a pe", + "ĠDav id", + "ĠC ouncil", + "Ġth ough", + "Ġinv ol", + "Ġre se", + "Ġb gcolor", + "ĠF ootball", + "Ġp e", + "Ġ199 0", + "it ar", + "st on", + "at ch", + "Ġwrit ten", + "Ġex pl", + "Ġ2 8", + "Ġ2 7", + "or ies", + "im ent", + "ĠL ou", + "Ġeng ine", + "Ġf ore", + "ĠH ol", + "Ġep is", + "ĠAss ociation", + "Ġ es", + "stit ute", + "Ġad v", + "b ack", + "Ġte chn", + "ac ks", + "Ġ200 1", + "ĠW ith", + "b an", + "ĠR ed", + "Ġstart ed", + "Ġev en", + "ĠD r", + "umn i", + "Ġyou ng", + "Ġp oss", + "Ġall ow", + "o le", + "em pt", + "Ġcl os", + "iv id", + "o e", + "ro te", + "Ġm arried", + "it or", + "Ġg rad", + "ĠR ail", + "v al", + "Ġc ame", + "Ġoffic ial", + "Ġin it", + "Ġc over", + "Ġim port", + "ĠP resident", + "Ġcre ated", + "ĠAmer ica", + "ou ther", + "Ġw ent", + "form ation", + "Ġg iven", + "Ġs ite", + "Ġto tal", + "ol ic", + "g y", + "ir c", + "ĠSt reet", + "al t", + "Ġst ru", + "Ġe very", + "ĠF irst", + "Ġt urn", + "outher n", + "Ġcommun ity", + "y a", + "ĠF rom", + "ĠS ing", + "er ation", + "w est", + "oin ted", + "ĠSt ud", + "3 0", + "Ġjoin ed", + "ra p", + "om et", + "Ġv al", + "Ġeff ect", + "ĠH istor", + "it te", + "ĠK h", + "Ġra il", + "ot s", + "Ġpolit ical", + "Ġch ang", + "Ġwork ed", + "Ġwh at", + "Ġp res", + "Ġcon c", + "i j", + "Ġvari ous", + "ir on", + "Ġf re", + "Ġdevelop ment", + "ag o", + "ber t", + "ĠS en", + "ree k", + "ĠT own", + "Ġcon f", + "pos ed", + "s ite", + "ĠT rans", + "b or", + "ir l", + "Ġpro cess", + "m a", + "Ġ1 00", + "Ġt w", + "Ġv ideo", + "e al", + "Ġprofess ional", + "Ġele ct", + "her s", + "Ġf act", + "Ġm ilitary", + "ĠS l", + "ac hed", + "' t", + "ĠUn ion", + "Ġvers ion", + "at ic", + "olog ical", + "at ri", + "ĠGerman y", + "op e", + "re am", + "ĠGro up", + "Ġm uch", + "s elf", + "Ġpro te", + "Ġprodu ction", + "Ġh aving", + "Ġne xt", + "Ġcomm on", + "Ġb re", + "Ġcl aim", + "Ġbec ome", + "Ġspec ial", + "Ġg r", + "h old", + "ĠM art", + "Ġs ent", + "ĠH en", + "Ġm iss", + "Ġh ost", + "ĠB er", + "og n", + "Ġs w", + "ĠJ e", + "h ib", + "ĠV ir", + "ĠM ary", + "ĠM ag", + "Ġ198 0", + "ĠS er", + "ĠRo ad", + "o or", + "Ġus ing", + "ĠW e", + "Ġp ri", + "ĠBl ack", + "ĠAr ch", + "Ġ [", + "Ġdire ct", + "Ġreturn ed", + "ĠMe x", + "19 6", + "Ġw rote", + "Ġint ro", + "ĠP ri", + "Ġs it", + "Ġp resident", + "Ġpr im", + "m en", + "Ġt em", + "ĠItal ian", + "ĠM y", + "ĠJapan ese", + "Ġ199 9", + "est s", + "Ġ2 9", + "Ġg l", + "ĠAfric an", + "in ation", + "ĠT ur", + "Ġpos ition", + "Ġmat ch", + "h a", + "Ġan t", + "ict ion", + "ĠL aw", + "Ġdire ctor", + "i ography", + "m ing", + "ĠH all", + "oin ts", + "Ġteam s", + "Ġt ake", + "ĠW omen", + "Ġm ult", + "Ġch urch", + "Ġsong s", + "fl u", + "ĠThe se", + "Ġopen ed", + "Ġper forman", + "B C", + "ct s", + "il ar", + "ĠComm un", + "ĠW ash", + "ĠPro v", + "ivid ual", + "Ġf ew", + "Ġev ents", + "id a", + "Ġf un", + "ell ow", + "ĠG ames", + "Ġbe h", + "se qu", + "ĠS am", + "ĠRober t", + "arl iam", + "Ġv ol", + "ak en", + "ib r", + "itt le", + "ĠRuss ian", + "ĠLe g", + "an i", + "ent ion", + "e ad", + "ĠCh ina", + "oc rat", + "u le", + "ĠB est", + "l o", + "arliam ent", + "ar ian", + "g er", + "C A", + "ĠSc ott", + "2 1", + "Ġt imes", + "t ra", + "Ġst ory", + "Ġs ol", + "ĠO ther", + "ec ut", + "Ġpart icip", + "Ġw ay", + "Ġv oc", + "Ġfootball ers", + "y ing", + "ri an", + "Ġalbum s", + "ĠAcc ording", + "augh ter", + "Ġbe g", + "Ġh ig", + "ĠM ad", + "est ed", + "ĠC ap", + "ĠPl ay", + "un t", + "Ġf riend", + "Ġ199 8", + "ĠWash ington", + "it z", + "ĠC ourt", + "n ing", + "ic le", + "Ġatt ack", + "ket ball", + "ĠM iss", + "Ġro ad", + "stit ut", + "our ces", + "itte e", + "il es", + "an ies", + "Ġim p", + "Ġadm inist", + "ĠC ast", + "Ġpopul ar", + "Ġbro ther", + "Ġne ed", + "Ġwith out", + "ĠComp any", + "is l", + "ĠC ont", + "ĠThom as", + "at ter", + "Ġserv ices", + "ra g", + "an ces", + "a ur", + "Ġreg ion", + "end ing", + "Ġp ract", + "ĠS erv", + "Ġstud ents", + "idd le", + "Ġs k", + "Ġs ocial", + "od es", + "ĠC ath", + "Ġt er", + "ĠM en", + "ers hip", + "ĠS al", + "e x", + "wo od", + "ĠK n", + "a ign", + "Ġh alf", + "Ġbro ad", + "y ear", + "2 2", + "Ġg reat", + "Ġf ull", + "r ated", + "Ġcontin ued", + "Ġ197 0", + "Ġl ost", + "ĠA wards", + "ĠKing dom", + "ain ing", + "ĠCent ral", + "ĠS ociety", + "ac y", + "c raft", + "Ġco ach", + "y m", + "Ġm id", + "ĠM ont", + "ĠG rand", + "Ġal umni", + "ĠO p", + "us ed", + "Ġeduc ation", + "ra b", + "Ġrese arch", + "are nt", + "Ġ199 6", + "Ġatt empt", + "Ġs qu", + "Ġd ays", + "is ing", + "Ġh owever", + "ĠI r", + "b urg", + "Ġse e", + "ĠCh in", + "ens us", + "ĠRec ords", + "Ġprom ot", + "ap er", + "ĠM useum", + "4 0", + "Ġcomple ted", + "on a", + "Ġpro duc", + "Ġele cted", + "Ġapp ointed", + "ĠA lex", + "at ors", + "ĠChar les", + "ill s", + "ĠFl or", + "Ġcom b", + "ĠIs land", + "Ġinv est", + "Ġind ust", + "Ġin f", + "Ġ ident", + "est ival", + "in i", + "ĠD on", + "cent er", + "Ġpart y", + "ĠM et", + "Ġfound ed", + "Ġcont rol", + "Ġdire cted", + "ĠE duc", + "ĠCent er", + "Ġrecord ed", + "ĠTe x", + "Ġl im", + "Ġa ver", + "ific ation", + "u it", + "Ġr ight", + "ĠI m", + "r d", + "Ġ199 7", + "Ġsign ed", + "ĠE arly", + "Ġw ife", + "Ġe conom", + "ĠS ummer", + "amp le", + "l ess", + "Ġp oints", + "ber g", + "Ġpro per", + "Ġle ague", + "w h", + "as ons", + "Ġgroup s", + "Ġare as", + "2 3", + "Ġre view", + "Ġ18 5", + "Ġ /", + "ĠDe partment", + "Ġb ase", + "n el", + "Ġconsid ered", + "ish ing", + "ĠS im", + "Ġcon ne", + "Ġra ce", + "r ay", + "ĠAng el", + "ĠWest ern", + "Ġ202 3", + "ĠO ffic", + "Ġp oint", + "ĠJ ew", + "pl ay", + "Ġh on", + "ĠC he", + "Ġpart ic", + "Ġse le", + "at ural", + "ĠFran c", + "Ġre n", + "Ġf ind", + "Ġf urther", + "ĠV ict", + "j e", + "Ġm ar", + "= #", + "ĠT o", + "Ġc oll", + "ĠT V", + "Ġrel ations", + "ĠIn stitute", + "Ġc aus", + "ar ies", + "Ġv ict", + "ĠG old", + "ĠAcadem y", + "ĠLou is", + "ell s", + "Ġsim ilar", + "ĠOlymp ics", + "il i", + "Ġde g", + "ĠB ay", + "th let", + "Ġh old", + "ĠMich ael", + "Ġind ividual", + "way s", + "Ġto g", + "Ġre al", + "Ġpr iv", + "ĠG reat", + "Ġvi ew", + "ĠM ac", + "Ġweb site", + "Ġ z", + "id ence", + "ĠZ eal", + "Ġt en", + "ĠP ress", + "Ġtog ether", + "Ġ199 5", + "u ation", + "um p", + "Ġrele ase", + "ra in", + "ĠP at", + "ĠC ong", + "ĠZeal and", + "Ġ199 2", + "ric k", + "Ġin flu", + "ot a", + "ĠVir gin", + "ĠV ol", + "Ġreport ed", + "ĠChrist ian", + "Ġc ase", + "Ġappe ared", + "ĠM us", + "ĠRep ublic", + "ĠM er", + "ĠU K", + "et work", + "Ġ199 4", + "| |", + "ar ter", + "ar th", + "Ġs ports", + "Ġoff ice", + "ĠSp anish", + "ĠChin ese", + "Ġm other", + "ou l", + "ed eral", + "ĠAfric a", + "Ġtra ck", + "ĠK ore", + "m ar", + "Ġw eek", + "2 5", + "Ġ3 1", + "c ks", + "ĠT om", + "Ġ5 0", + "Ġm y", + "Ġk e", + "i que", + "Ġme et", + "Ġnov el", + "Ġcon d", + "Ġbir th", + "Ġdevelop ed", + "en c", + "Ġform ed", + "Ġin s", + "Ġh ous", + "it ive", + "y d", + "ak er", + "Ġ196 0", + "it ing", + "Ġmed al", + "ĠB ur", + "Ġhel p", + "Ġa ut", + "ĠCar ol", + "Ġgu itar", + "ad es", + "Ġla un", + "Ġass ist", + "ĠB en", + "Ġph ot", + "ĠIn ter", + "ĠT er", + "ul a", + "k n", + "ĠD an", + "ap t", + "Ġwork ing", + "e h", + "du ction", + "Ġd oc", + "Ġar r", + "Ġm aking", + "Ġimport ant", + "Ġto urn", + "c le", + "ĠG reen", + "i ers", + "Ġarch ite", + "ĠH am", + "ĠTex as", + "ail ed", + "ud e", + "re land", + "Ġart ist", + "Ġc ast", + "ĠWh ite", + "ĠP et", + "Ġgro w", + "ed y", + "Ġm unicip", + "Ġap pl", + "Ġg ood", + "im ately", + "it ted", + "ĠWh ile", + "ĠD el", + "Ġv ot", + "b and", + "ĠP ublic", + "Ġof fer", + "t a", + "id ing", + "ĠK e", + "ĠB as", + "c ial", + "ĠS ports", + "g o", + "Ġl ess", + "Ġtrad ition", + "Ġschool s", + "m on", + "ert ain", + "ic les", + "ĠMinist er", + "r as", + "ĠJ ose", + "Ġl ive", + "id ae", + "al a", + "ĠC ons", + "Ġd ata", + "ro ll", + "one y", + "it her", + "Ġph ys", + "Ġf und", + "Ġ199 3", + "ĠDem ocrat", + "Ġty p", + "Ġother s", + "ens ive", + "Ġh uman", + "Ġsh ould", + "Ġd aughter", + "ol a", + "ĠT or", + "ab ly", + "epend ent", + "at ives", + "Ġem ploy", + "Ġro ck", + "Ġd i", + "Ġgro und", + "ĠP eter", + "osp ital", + "Ġre v", + "ĠFran k", + "Ġrec ogn", + "Ġm ater", + "Ġhim self", + "Ġst ar", + "overn or", + "all s", + "v iron", + "Ġbuild ings", + "Ġde cl", + "Ġ =", + "re y", + "ĠCath olic", + "ĠM el", + "ĠS ong", + "ut y", + "ĠRich ard", + "le g", + "Ġr ul", + ") :", + "Ġac ross", + "az ine", + "Ġav ail", + "Ġf ire", + "Ġcomp anies", + "ĠS ur", + "g en", + "h i", + "ic ation", + "ĠSw ed", + "19 5", + "al y", + "ĠB ill", + "Ġb ody", + "p ite", + "s y", + "en a", + "ate g", + "ol f", + "Ġan im", + "ant ed", + "Ġcamp aign", + "Ġst ations", + "and ing", + "at re", + "Ġl anguage", + "sh ire", + "m ost", + "ri a", + "Ġe ight", + "19 4", + "um e", + "Ġdo es", + "ĠW il", + "b our", + "Ġaver age", + "ĠM ass", + "ĠL u", + "ĠU p", + "ĠF ore", + "Ġm ot", + "Ġ199 1", + "ce ed", + "Ġbl ack", + "Ġqu al", + "Ġex ist", + "Ġbec om", + "ĠPar is", + "ĠSec ond", + "Ġplay ing", + "ut es", + "ric ket", + "o ice", + "ra el" + ] + } +} \ No newline at end of file diff --git a/models/components/layers/tokenizer_models/bpe_en_wiki_3900_simplified.model b/models/components/layers/tokenizer_models/bpe_en_wiki_3900_simplified.model new file mode 100644 index 00000000..49eebf76 --- /dev/null +++ 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l", + "Ġc ent", + "Ġo p", + "Ġyear s", + "we en", + "er ies", + "c ed", + "Ġcon s", + "ro und", + "res ent", + "over n", + "at ing", + "Ġwhe re", + "Ġd uring", + "Ġre t", + "Ġm ore", + "Ġin d", + "ab l", + "Ġ1 7", + "Ġb o", + "iv ing", + "ra ph", + "ar ly", + "b um", + "d er", + "ĠJ oh", + "Ġs ub", + "a ir", + "Ġst ud", + "an y", + "Ġfor m", + "Ġs up", + "Ġ20 2", + "Ġg en", + "ĠTh is", + "Ġm e", + "ĠP l", + "Ġ qu", + "ĠC ount", + "ĠSt ates", + "Ġf ootball", + "Ġf ound", + "Ġ 8", + "ion al", + "oc k", + "ar l", + "Ġre le", + "Ġf l", + "c c", + "Ġs pec", + "en n", + "as h", + "Ġon ly", + "Ġbet ween", + "i am", + "ag ue", + "Ġf am", + "Ġb ir", + "Ġre l", + "re at", + "ĠF or", + "Ġse ason", + "p ro", + "Ġ Q", + "e at", + "ist ric", + "ĠA t", + "op ul", + "Ġs y", + "ĠN ational", + "ĠW ar", + "Ġ ed", + "ist ory", + "Ġar t", + "if ic", + "ĠS p", + "s on", + "ĠCom m", + "er man", + "ĠI s", + "Ġab out", + "ĠA ust", + "Ġth ree", + "ĠJoh n", + "\" .", + "Ġin ter", + "Ġm ost", + "ct or", + "f ore", + "ĠW orld", + "le y", + "ĠF ran", + "ĠP h", + "th s", + "ĠC on", + "Ġre m", + "Ġf ollow", + "Ġ 9", + "Ġm ade", + "Ġal bum", + "Ġl ater", + "Ġs ing", + "Ġth rough", + "iel d", + "in ist", + "un e", + "om en", + "Ġ end", + "Ġ1 0", + "iv er", + "iv ed", + "ĠB e", + "ers on", + "r on", + "Ġsec ond", + "Ġthe m", + "ro s", + "ĠB rit", + "ĠB l", + "og raph", + "Ġw rit", + "ĠM ay", + "an k", + "us s", + "Ġn um", + "Ġm ov", + "Ġthe re", + "Ġ19 3", + "Ġthe n", + "Ġd ire", + "m p", + "ĠC an", + "Ġde f", + "Ġus ed", + ". \"", + "ĠJ an", + "er m", + "ow er", + "es e", + "vel op", + "u res", + "he n", + "Ġrec ord", + "ar g", + "Ġin v", + "em ent", + "istric t", + "Ġt rans", + "os s", + "t en", + "Ġs o", + "er t", + "Ġm ed", + "e e", + "ar i", + "Ġ1 6", + "ar s", + "Ġs chool", + "Ġkn own", + "Ġs et", + "a i", + "ĠCount y", + "ĠA d", + "y s", + "\" ,", + "Ġ ent", + "Ġbec ame", + "2 00", + "Ġs uch", + "st it", + "Ġest abl", + "ĠO r", + "Ġ1 5", + "Ġa m", + "is m", + "ĠS outh", + "ĠG e", + "Ġpro v", + "c y", + "ur al", + "it s", + "Ġp h", + "Ġin c", + "ment s", + "Ġth an", + "ĠS chool", + "amp ion", + "tern ational", + "u ro", + "ĠG erman", + "ĠM e", + "a x", + "is e", + "Ġf our", + "p os", + "Ġ &", + "ĠN ov", + "Ġs eries", + "ĠJ u", + "Ġbe ing", + "Ġs ome", + "ur ch", + "Ġle ad", + "Ġ| -", + "Ġb l", + "Ġp opul", + "Ġ .", + "e ver", + "ĠW est", + "ut e", + "Ġc all", + "Ġs ong", + "ay s", + "Ġinclud ing", + "ot her", + "j ect", + "le t", + "et h", + "Ġgro up", + "Ġagain st", + "a e", + "Ġw ell", + "are er", + "Ġd o", + "i ke", + "Ġap pe", + "ĠP ol", + "ĠA fter", + "b orn", + "Ġde ath", + "ug ust", + "Ġac c", + "ar ri", + "Ġc ount", + "t y", + "Ġc re", + "ction s", + "ian s", + "ĠP r", + "u ary", + "ĠW h", + "am ed", + "pt ember", + "ĠAust ral", + "v en", + "st em", + "at her", + "t il", + "ĠY ork", + "ar n", + "ire d", + "ul l", + "b y", + "m y", + "er ed", + "r id", + "ver y", + "ut ion", + "e y", + "ĠA ugust", + "Ġbe fore", + "ĠBrit ish", + "Ġre ce", + "= \"", + "ĠO ct", + "el s", + "Ġ1 2", + "Ġad d", + "Ġwh ile", + "r ist", + "Ġs ur", + "ĠSe ptember", + "Ġs ign", + "Ġpol it", + "iv es", + "ĠMar ch", + "overn ment", + "00 0", + "Ġb ro", + "Ġde c", + "Ġsh ow", + "ĠC ent", + "a id", + "Ġoff ic", + "Ġbu ild", + "Ġde velop", + "Ġo per", + "ĠOct ober", + "olog y", + "Ġg o", + "el f", + "Ġfam ily", + "Ġun til", + "Ġc ap", + "le v", + "ĠM an", + "x t", + "Ġm usic", + "Ġm ay", + "pr il", + "iz ed", + "ow ever", + "ĠJ une", + "a u", + "r and", + "Ġo wn", + "f ess", + "Ġn o", + "Ġre p", + "ĠJan uary", + "ic a", + "Ġor ig", + "er y", + "Ġm ain", + "m ber", + "Ġm od", + "Ġh igh", + "ĠAs s", + "ĠJu ly", + "en g", + "ĠAl l", + "Ġbir ths", + "emb ers", + "ĠC ar", + "1 0", + "l ish", + "ist or", + "Ġch ar", + "Ġb oth", + "ĠN orth", + "Ġplay ed", + "olle ge", + "Ġm on", + "Ġman y", + "Ġnum ber", + "ot t", + "et s", + "ĠC o", + "ĠLe ague", + "Ġex p", + "om an", + "Ġn ame", + "ut h", + "ampion ship", + "ĠA pril", + "cent ury", + "ward s", + "Ġb ack", + "Ġ19 2", + "ant s", + "v ed", + "i ent", + "ĠCan ad", + "ĠE uro", + "it t", + "ĠSe e", + "Ġrele ased", + "ce mber", + "Ġe m", + "st ru", + "ĠG u", + "ain ed", + "ĠB o", + "en e", + "i or", + "p le", + "Ġg u", + "g ram", + "1 7", + "ĠE d", + "is c", + "Ġfor mer", + "ĠC ol", + "ĠNov ember", + "it al", + "Ġse ver", + "iss ion", + "ĠA m", + "ĠEng lish", + "Ġan n", + "Ġw on", + "i um", + "in es", + "e c", + "he s", + "port s", + "Ġdes ign", + "p or", + "ic ip", + "ce pt", + "ĠRe g", + "ĠW ill", + "ĠDe cember", + "Ġm at", + "ĠC ity", + "Ġ1 4", + "ra ct", + "ĠF l", + "aj or", + "Ġdes c", + "y l", + "ros s", + "Ġ1 3", + "Ġl ife", + "Ġare a", + "im es", + "ir d", + "Ġst art", + "ĠC al", + "ĠA f", + "Ġor gan", + "r is", + "duc ed", + "Ġop en", + "Ġf eat", + "are d", + "ĠSt ate", + "re t", + "f l", + "Ġg ame", + "ag es", + "Ġd if", + "v ent", + "res ident", + "Ġr un", + "k et", + "u es", + "Ġfilm s", + "l ed", + "ro p", + "Ġpro du", + "p art", + "Ġ1 1", + "ar m", + "et y", + "Ġm en", + "Ġ201 0", + "Ġcl ass", + "ograph y", + "Ġ2 1", + "y le", + "Ġex t", + "ap an", + "il t", + "eb ru", + "Ġs m", + "lev ision", + "ebru ary", + "Ġpubl ic", + "un g", + "ĠK ing", + "ĠI I", + "Ġst ate", + "Ġsy stem", + "ĠP ar", + "Ġl ong", + "Ġo b", + "ual ly", + "Ġd r", + "ar ch", + "ĠB ro", + "f ul", + "Ġf inal", + "Ġc areer", + "il it", + "n er", + "ĠH is", + "Ġs ame", + "ul ar", + "an c", + "a use", + "Ġcall ed", + "am b", + "vi ew", + "Ġfollow ing", + "ĠF ebruary", + "in c", + "z e", + "ov e", + "y n", + "Ġret urn", + "Ġf in", + "on y", + "Ġc ity", + "Ġw ill", + "iv ision", + "ĠEuro pe", + "ĠS w", + "a f", + "h ip", + "Ġch ild", + "r at", + "al es", + "ak ing", + "Ġsever al", + "Ġcomm un", + "ren ch", + "il ity", + "Ġw omen", + "re nt", + "oin t", + "ĠM ed", + "or ks", + "ĠJ apan", + "s p", + "an ge", + "ch n", + "ial ly", + "c om", + "c on", + "ure d", + "Ġl ist", + "Ġs uc", + "ĠGe or", + "p ed", + "Ġe arly", + "Ġa ir", + "ĠB ar", + "Ġcont in", + "Ġ '", + "Ġto wn", + "Ġcomp et", + "Ġcl ub", + "ĠE l", + "Ġm in", + "Ġres ult", + "h am", + "ib le", + "1 2", + "ĠA nd", + "ĠH ar", + "ĠH istory", + "is ed", + "al ly", + "Ġs ince", + "ic es", + "ain s", + "st er", + "19 9", + "ĠThe y", + "ĠP art", + "b o", + "r ing", + "Ġn ear", + "ang u", + "Ġn amed", + "Ġorig inal", + "end ed", + "u ed", + "ĠCh rist", + "at a", + "Ġhe ad", + "ĠA b", + "1 6", + "Ġb el", + "Ġdis c", + "Ġpl ace", + "ĠF rench", + "id ed", + "i ence", + "Ġ201 1", + "ĠRe p", + "Ġc ur", + "Ġbe gan", + "il le", + "Ġt it", + "Ġus e", + "iv al", + "an e", + "re en", + "Ġpro gram", + "ĠU S", + "Ġv ill", + "Ġm ember", + "Ġm embers", + "1 5", + "Ġp rom", + "Ġhe ld", + "Ġan y", + "Ġl and", + "ĠCom p", + "Ġb ased", + "ain t", + "ĠR es", + "ĠM c", + "Ġthe se", + "Ġcomp le", + "b le", + "Ġap p", + "m e", + "Ġsup port", + "oun c", + "ĠAf ric", + "al ity", + "Ġg overnment", + "r ight", + "Ġ200 8", + "ĠR uss", + "Ġm et", + "Ġ201 2", + "Ġw e", + "ĠR o", + "a ugh", + "Ġ19 0", + "ĠA ir", + "Ġestabl ished", + "i ous", + "Ġal ong", + "Ġe ff", + "t he", + "Ġ ,", + "ĠE ast", + "ĠCh ampionship", + "Ġdesc rib", + "T he", + "in ess", + "Ġen g", + "ition s", + "ĠC ollege", + "Ġp ass", + "ĠWill iam", + "ĠG en", + "an a", + "od e", + ". .", + "Ġd ist", + "pe ct", + "al th", + "ad em", + "Ġ200 9", + "Ġloc ated", + "ur g", + "u k", + "ĠThe re", + "at or", + "ical ly", + "ĠH er", + "or m", + "ac ed", + "Ġd id", + "Ġl aw", + "in o", + "Ġc ol", + "Ġo cc", + "Ġchar act", + "che s", + "f ord", + "ĠAr t", + "c ol", + "at s", + "i en", + "ubl ic", + "ĠP eople", + "Ġp os", + "Ġy ou", + "Ġ201 3", + "ond on", + "ĠN e", + "oci ation", + "ĠIt al", + "Ġ200 6", + "Ġ200 7", + "Ġh ouse", + "Ġe ach", + "t o", + "ĠH igh", + "ing ton", + "ore d", + "Ġ201 4", + "ro w", + "Ġ201 6", + "Ġserv ed", + "our t", + "ĠF ilm", + "Ġto ok", + "qu e", + "Ġs im", + "k y", + "Ġ X", + "1 4", + "ĠRe c", + "Ġb and", + "Ġt r", + "Ġst ation", + "Ġh ome", + "ĠD istrict", + "Ġb us", + "av ing", + "ĠS y", + "ĠIn ternational", + "Ġb orn", + "Ġg ames", + "Ġn ational", + "m ed", + "ly mp", + "i et", + "ĠA c", + "Ġin st", + "Ġ201 5", + "re w", + "er g", + "Ġpro fess", + "in ed", + "Ġ201 8", + "ight s", + "p s", + "Ġcomp any", + "Ġl ine", + "Ġp erson", + "1 3", + "ĠO lymp", + "Ġpopul ation", + "Ġm ajor", + "Ġ18 9", + "ac es", + "our n", + "Ġ20 20", + "ĠD av", + "ill ion", + "ĠL iving", + "ĠL ondon", + "Ġ201 7", + "ĠSe c", + "Ġs l", + "Ġb as", + "Ġj oin", + "Ġsm all", + "Ġle g", + "Ġloc al", + "ĠInd ian", + "ĠL a", + "ard s", + "Ġv ari", + "Ġrece ived", + "Ġde b", + "Ġev ent", + "Ġ2 5", + "Ġgen eral", + "Ġman ag", + "Ġpubl ished", + "Ġte levision", + "ĠC up", + "et t", + "Ġcent ury", + "ĠN ot", + "ilit ary", + "s ide", + "et er", + "Ġ3 0", + "at ure", + "Ġ201 9", + "Ġsing le", + "Ġbu ilt", + "ĠS up", + "Ġv i", + "ĠPh il", + "a ul", + "Ġd ue", + "Ġc ould", + "Ġv ers", + "ĠH owever", + "Ġ $", + "Ġap pro", + "ar ge", + "Ġw orld", + "Ġspec ies", + "ar a", + "Ġc olle", + "um n", + "Ġsuc cess", + "ie f", + "ounc il", + "Ġp o", + "v ers", + "Ġst r", + "in t", + "Ġa round", + "ord ing", + "if ied", + "ĠA ng", + "uth or", + "id es", + "at ely", + "om in", + "ĠG l", + "Ġo ld", + "Ġed uc", + "ĠT r", + "arri ed", + "ĠL ist", + "ĠN o", + "Ġt erm", + "is on", + "ro l", + "ĠC or", + "um mer", + "Ġa ge", + "ff ic", + "l ing", + "ĠT ra", + "ĠH ouse", + "Ġhe l", + "Ġal ign", + "Ġe p", + "ord s", + "e f", + "oc ial", + "ĠP ark", + "r ation", + "Ġp resent", + "ĠP re", + "Ġle ft", + "Ġl ast", + "Ġs ix", + "ĠE n", + "Ġh istory", + "Ġn ow", + "i od", + "a im", + "Ġs aid", + "ĠS an", + "Ġt y", + "Ġ200 0", + "Ġrep resent", + "re et", + "a us", + "id d", + "ra ft", + "t t", + "Ġd ied", + "Ġplay er", + "op h", + "Ġ 0", + "Ġre st", + "1 1", + "Ġc amp", + "iz ation", + "ĠD uring", + "Ġc ar", + "Ġl a", + "um b", + "angu age", + "Ġto p", + "ne y", + "Ġp ar", + "ĠB r", + "on es", + "Ġvill age", + "Ġwith in", + "ĠM ich", + "Ġd et", + "iv en", + "Ġst yle", + "Ġf ive", + "Ġ200 5", + "Ġt ri", + "Ġn orth", + "Ġsh ort", + "Ġ2 4", + "v an", + "ĠR oy", + "Ġor der", + "ide o", + "Ġ18 8", + "Ġd ay", + "in k", + "ĠD es", + "o ks", + "et her", + "u f", + "Ġdescrib ed", + "ak es", + "s c", + "ow s", + "ur ther", + "19 8", + "ent ly", + "Ġth ird", + "Ġbuild ing", + "al k", + "Ġinclud e", + "ĠR iver", + "Ġinclud ed", + "Ġp ost", + "um ent", + "Ġd own", + "ast er", + "if orn", + "ĠP er", + "Ġdif fer", + "d ay", + "he m", + "ĠA g", + "Ġchild ren", + "Ġre port", + "ur s", + "ĠEng land", + "c o", + "ĠCh ar", + "Ġ202 1", + "att le", + "Ġre f", + "vi ous", + "Ġre qu", + "ĠS ch", + "ĠA ct", + "n a", + "er a", + "feren ce", + "Ġbec ause", + "ke y", + "t ain", + "iforn ia", + "Ġad m", + "ĠB y", + "th ough", + "Ġann oun", + "Ġl arge", + "Ġcons id", + "iv ely", + "re g", + "ĠG ro", + "ĠM al", + "Ġs outh", + "g round", + "Ġs on", + "ĠAustral ia", + "Ġ200 4", + "ic o", + "Ġd em", + "rid ge", + "ri end", + "Ġd istrict", + "ĠCal ifornia", + "l er", + "col or", + "Ġst and", + "ĠP ort", + "ĠB ra", + "Ġm ark", + "ĠM on", + "os p", + ". ,", + "use um", + "ct ure", + "Ġar ch", + "Ġp ower", + "inn ing", + "Ġst at", + "Ġbo ok", + "uc k", + "od y", + "ĠY ou", + "ĠPart y", + "en cy", + "Ġl o", + "Ġdeath s", + "ri pt", + "Ġ202 2", + "Ġc rit", + "ad io", + "it er", + "part ment", + "land s", + "in ing", + "Ġw ar", + "con om", + "um an", + "Ġappe ar", + "Ġc or", + "ĠD em", + "Ġm ale", + "Ġl arg", + "k a", + "Ġis s", + "ĠR oman", + "re st", + "Ġ18 6", + "Ġj ust", + "ist er", + "Ġ2 2", + "Ġre pl", + "ĠB el", + "c er", + "al d", + "al f", + "Ġw ater", + "Ġserv ice", + "g ed", + "Ġper iod", + "Ġn on", + "Ġper form", + "Ġadd ition", + "n ess", + "Ġres p", + "v es", + "Ġk ill", + "am ent", + "oci ety", + "ĠA nt", + "Ġde p", + "ee k", + "Ġv is", + "he l", + "our s", + "e le", + "Ġre fer", + "ĠS m", + "a ff", + "er ing", + "ĠO ne", + "Ġmov ed", + "ĠA ward", + "en se", + "Ġc r", + "ĠE m", + "Ġdiffer ent", + "iz e", + "Ġcur rent", + "ĠAustral ian", + "Ġro und", + "Ġl ike", + "ot e", + "rib ut", + "5 0", + "ĠAr my", + "Ġ2 3", + "Ġinc re", + "om b", + "Ġm illion", + "Ġl ed", + "k i", + "l ine", + "ĠN or", + "p ar", + "Ġt rad", + "Ġbus iness", + "am a", + "ĠA cc", + "t al", + "av y", + "her n", + "ĠM inist", + "Ġan other", + "Ġth ose", + "o on", + "Ġh istor", + "ĠR ober", + "op s", + "o f", + "Ġsh ip", + "Ġ18 7", + "Ġe qu", + "Ġst ill", + "and er", + "Ġ if", + "Ġf ather", + "Ġ el", + "Ġf ield", + "Ġw est", + "ĠJ ames", + "Ġd el", + "ĠInd ia", + "Ġex per", + "Ġa uthor", + "i ber", + "ĠM or", + "ĠSt e", + "d e", + "ep end", + "Ġf ac", + "c hed", + "iv il", + "Ġact iv", + "Ġh and", + "Ġcomp os", + "ĠCh urch", + "ĠM usic", + "Ġbe st", + "ĠGen eral", + "ĠFran ce", + "Ġp ort", + "Ġk m", + "o x", + "Ġannoun ced", + "Ġin ternational", + "Ġdeb ut", + "stru ction", + "Ġtit le", + "Ġcount ry", + "d om", + "ĠQ u", + "Ġs old", + "Ġf em", + "ĠTh om", + "Ġw in", + "as es", + "Ġ200 3", + "v ille", + "Ġ( )", + "Ġestabl ish", + "ĠY ear", + "19 7", + "u el", + "Ġcharact er", + "Ġe ast", + "Ġpolit ic", + "ĠGeor ge", + "ĠD ivision", + "f ield", + "un icip", + "us h", + "Ġs ide", + "c ast", + "Ġp at", + "Ġd ra", + "b e", + "ĠRoy al", + "Ġc ult", + "ourn al", + "ĠA p", + "an ish", + "re ad", + "Ġn ov", + "Ġa v", + "g color", + "Ġpre vious", + "ĠM ount", + "g in", + "Ġm ake", + "ĠEurope an", + "Ġ very", + "ri es", + "a el", + "ĠQ ue", + "ĠP e", + "ort hern", + "Ġa ward", + "ĠCl ub", + "ĠCanad ian", + "Ġset t", + "ug g", + "ĠAc adem", + "Ġele ction", + "Ġpro ject", + "ip p", + "l in", + "le x", + "ĠP al", + "Ġam ong", + "m s", + "ap p", + "ab or", + "Ġw orks", + "ĠV al", + "ĠG r", + "Ġ2 6", + "ĠCanad a", + "Ġ200 2", + "ĠE le", + "i us", + "ĠR ich", + "Ġf r", + "al ign", + "Ġro le", + "g es", + "Ġpro duced", + "ĠW hen", + "w ork", + "ĠP aul", + "Ġf e", + "Ġm ag", + "pl oy", + "for man", + "Ġle vel", + "ĠB u", + "o ff", + "Ġof ten", + "ol ution", + "Ġa ff", + "Ġl ate", + "Ġs pe", + "Ġre ad", + "Ġw eb", + "a pe", + "ĠDav id", + "ĠC ouncil", + "Ġth ough", + "Ġinv ol", + "Ġre se", + "Ġb gcolor", + "ĠF ootball", + "Ġp e", + "Ġ199 0", + "it ar", + "st on", + "at ch", + "Ġwrit ten", + "Ġex pl", + "Ġ2 8", + "Ġ2 7", + "or ies", + "im ent", + "ĠL ou", + "Ġeng ine", + "Ġf ore", + "ĠH ol", + "Ġep is", + "ĠAss ociation", + "Ġ es", + "stit ute", + "Ġad v", + "b ack", + "Ġte chn", + "ac ks", + "Ġ200 1", + "ĠW ith", + "b an", + "ĠR ed", + "Ġstart ed", + "Ġev en", + "ĠD r", + "umn i", + "Ġyou ng", + "Ġp oss", + "Ġall ow", + "o le", + "em pt", + "Ġcl os", + "iv id", + "o e", + "ro te", + "Ġm arried", + "it or", + "Ġg rad", + "ĠR ail", + "v al", + "Ġc ame", + "Ġoffic ial", + "Ġin it", + "Ġc over", + "Ġim port", + "ĠP resident", + "Ġcre ated", + "ĠAmer ica", + "ou ther", + "Ġw ent", + "form ation", + "Ġg iven", + "Ġs ite", + "Ġto tal", + "ol ic", + "g y", + "ir c", + "ĠSt reet", + "al t", + "Ġst ru", + "Ġe very", + "ĠF irst", + "Ġt urn", + "outher n", + "Ġcommun ity", + "y a", + "ĠF rom", + "ĠS ing", + "er ation", + "w est", + "oin ted", + "ĠSt ud", + "3 0", + "Ġjoin ed", + "ra p", + "om et", + "Ġv al", + "Ġeff ect", + "ĠH istor", + "it te", + "ĠK h", + "Ġra il", + "ot s", + "Ġpolit ical", + "Ġch ang", + "Ġwork ed", + "Ġwh at", + "Ġp res", + "Ġcon c", + "i j", + "Ġvari ous", + "ir on", + "Ġf re", + "Ġdevelop ment", + "ag o", + "ber t", + "ĠS en", + "ree k", + "ĠT own", + "Ġcon f", + "pos ed", + "s ite", + "ĠT rans", + "b or", + "ir l", + "Ġpro cess", + "m a", + "Ġ1 00", + "Ġt w", + "Ġv ideo", + "e al", + "Ġprofess ional", + "Ġele ct", + "her s", + "Ġf act", + "Ġm ilitary", + "ĠS l", + "ac hed", + "' t", + "ĠUn ion", + "Ġvers ion", + "at ic", + "olog ical", + "at ri", + "ĠGerman y", + "op e", + "re am", + "ĠGro up", + "Ġm uch", + "s elf", + "Ġpro te", + "Ġprodu ction", + "Ġh aving", + "Ġne xt", + "Ġcomm on", + "Ġb re", + "Ġcl aim", + "Ġbec ome", + "Ġspec ial", + "Ġg r", + "h old", + "ĠM art", + "Ġs ent", + "ĠH en", + "Ġm iss", + "Ġh ost", + "ĠB er", + "og n", + "Ġs w", + "ĠJ e", + "h ib", + "ĠV ir", + "ĠM ary", + "ĠM ag", + "Ġ198 0", + "ĠS er", + "ĠRo ad", + "o or", + "Ġus ing", + "ĠW e", + "Ġp ri", + "ĠBl ack", + "ĠAr ch", + "Ġ [", + "Ġdire ct", + "Ġreturn ed", + "ĠMe x", + "19 6", + "Ġw rote", + "Ġint ro", + "ĠP ri", + "Ġs it", + "Ġp resident", + "Ġpr im", + "m en", + "Ġt em", + "ĠItal ian", + "ĠM y", + "ĠJapan ese", + "Ġ199 9", + "est s", + "Ġ2 9", + "Ġg l", + "ĠAfric an", + "in ation", + "ĠT ur", + "Ġpos ition", + "Ġmat ch", + "h a", + "Ġan t", + "ict ion", + "ĠL aw", + "Ġdire ctor", + "i ography", + "m ing", + "ĠH all", + "oin ts", + "Ġteam s", + "Ġt ake", + "ĠW omen", + "Ġm ult", + "Ġch urch", + "Ġsong s", + "fl u", + "ĠThe se", + "Ġopen ed", + "Ġper forman", + "B C", + "ct s", + "il ar", + "ĠComm un", + "ĠW ash", + "ĠPro v", + "ivid ual", + "Ġf ew", + "Ġev ents", + "id a", + "Ġf un", + "ell ow", + "ĠG ames", + "Ġbe h", + "se qu", + "ĠS am", + "ĠRober t", + "arl iam", + "Ġv ol", + "ak en", + "ib r", + "itt le", + "ĠRuss ian", + "ĠLe g", + "an i", + "ent ion", + "e ad", + "ĠCh ina", + "oc rat", + "u le", + "ĠB est", + "l o", + "arliam ent", + "ar ian", + "g er", + "C A", + "ĠSc ott", + "2 1", + "Ġt imes", + "t ra", + "Ġst ory", + "Ġs ol", + "ĠO ther", + "ec ut", + "Ġpart icip", + "Ġw ay", + "Ġv oc", + "Ġfootball ers", + "y ing", + "ri an", + "Ġalbum s", + "ĠAcc ording", + "augh ter", + "Ġbe g", + "Ġh ig", + "ĠM ad", + "est ed", + "ĠC ap", + "ĠPl ay", + "un t", + "Ġf riend", + "Ġ199 8", + "ĠWash ington", + "it z", + "ĠC ourt", + "n ing", + "ic le", + "Ġatt ack", + "ket ball", + "ĠM iss", + "Ġro ad", + "stit ut", + "our ces", + "itte e", + "il es", + "an ies", + "Ġim p", + "Ġadm inist", + "ĠC ast", + "Ġpopul ar", + "Ġbro ther", + "Ġne ed", + "Ġwith out", + "ĠComp any", + "is l", + "ĠC ont", + "ĠThom as", + "at ter", + "Ġserv ices", + "ra g", + "an ces", + "a ur", + "Ġreg ion", + "end ing", + "Ġp ract", + "ĠS erv", + "Ġstud ents", + "idd le", + "Ġs k", + "Ġs ocial", + "od es", + "ĠC ath", + "Ġt er", + "ĠM en", + "ers hip", + "ĠS al", + "e x", + "wo od", + "ĠK n", + "a ign", + "Ġh alf", + "Ġbro ad", + "y ear", + "2 2", + "Ġg reat", + "Ġf ull", + "r ated", + "Ġcontin ued", + "Ġ197 0", + "Ġl ost", + "ĠA wards", + "ĠKing dom", + "ain ing", + "ĠCent ral", + "ĠS ociety", + "ac y", + "c raft", + "Ġco ach", + "y m", + "Ġm id", + "ĠM ont", + "ĠG rand", + "Ġal umni", + "ĠO p", + "us ed", + "Ġeduc ation", + "ra b", + "Ġrese arch", + "are nt", + "Ġ199 6", + "Ġatt empt", + "Ġs qu", + "Ġd ays", + "is ing", + "Ġh owever", + "ĠI r", + "b urg", + "Ġse e", + "ĠCh in", + "ens us", + "ĠRec ords", + "Ġprom ot", + "ap er", + "ĠM useum", + "4 0", + "Ġcomple ted", + "on a", + "Ġpro duc", + "Ġele cted", + "Ġapp ointed", + "ĠA lex", + "at ors", + "ĠChar les", + "ill s", + "ĠFl or", + "Ġcom b", + "ĠIs land", + "Ġinv est", + "Ġind ust", + "Ġin f", + "Ġ ident", + "est ival", + "in i", + "ĠD on", + "cent er", + "Ġpart y", + "ĠM et", + "Ġfound ed", + "Ġcont rol", + "Ġdire cted", + "ĠE duc", + "ĠCent er", + "Ġrecord ed", + "ĠTe x", + "Ġl im", + "Ġa ver", + "ific ation", + "u it", + "Ġr ight", + "ĠI m", + "r d", + "Ġ199 7", + "Ġsign ed", + "ĠE arly", + "Ġw ife", + "Ġe conom", + "ĠS ummer", + "amp le", + "l ess", + "Ġp oints", + "ber g", + "Ġpro per", + "Ġle ague", + "w h", + "as ons", + "Ġgroup s", + "Ġare as", + "2 3", + "Ġre view", + "Ġ18 5", + "Ġ /", + "ĠDe partment", + "Ġb ase", + "n el", + "Ġconsid ered", + "ish ing", + "ĠS im", + "Ġcon ne", + "Ġra ce", + "r ay", + "ĠAng el", + "ĠWest ern", + "Ġ202 3", + "ĠO ffic", + "Ġp oint", + "ĠJ ew", + "pl ay", + "Ġh on", + "ĠC he", + "Ġpart ic", + "Ġse le", + "at ural", + "ĠFran c", + "Ġre n", + "Ġf ind", + "Ġf urther", + "ĠV ict", + "j e", + "Ġm ar", + "= #", + "ĠT o", + "Ġc oll", + "ĠT V", + "Ġrel ations", + "ĠIn stitute", + "Ġc aus", + "ar ies", + "Ġv ict", + "ĠG old", + "ĠAcadem y", + "ĠLou is", + "ell s", + "Ġsim ilar", + "ĠOlymp ics", + "il i", + "Ġde g", + "ĠB ay", + "th let", + "Ġh old", + "ĠMich ael", + "Ġind ividual", + "way s", + "Ġto g", + "Ġre al", + "Ġpr iv", + "ĠG reat", + "Ġvi ew", + "ĠM ac", + "Ġweb site", + "Ġ z", + "id ence", + "ĠZ eal", + "Ġt en", + "ĠP ress", + "Ġtog ether", + "Ġ199 5", + "u ation", + "um p", + "Ġrele ase", + "ra in", + "ĠP at", + "ĠC ong", + "ĠZeal and", + "Ġ199 2", + "ric k", + "Ġin flu", + "ot a", + "ĠVir gin", + "ĠV ol", + "Ġreport ed", + "ĠChrist ian", + "Ġc ase", + "Ġappe ared", + "ĠM us", + "ĠRep ublic", + "ĠM er", + "ĠU K", + "et work", + "Ġ199 4", + "| |", + "ar ter", + "ar th", + "Ġs ports", + "Ġoff ice", + "ĠSp anish", + "ĠChin ese", + "Ġm other", + "ou l", + "ed eral", + "ĠAfric a", + "Ġtra ck", + "ĠK ore", + "m ar", + "Ġw eek", + "2 5", + "Ġ3 1", + "c ks", + "ĠT om", + "Ġ5 0", + "Ġm y", + "Ġk e", + "i que", + "Ġme et", + "Ġnov el", + "Ġcon d", + "Ġbir th", + "Ġdevelop ed", + "en c", + "Ġform ed", + "Ġin s", + "Ġh ous", + "it ive", + "y d", + "ak er", + "Ġ196 0", + "it ing", + "Ġmed al", + "ĠB ur", + "Ġhel p", + "Ġa ut", + "ĠCar ol", + "Ġgu itar", + "ad es", + "Ġla un", + "Ġass ist", + "ĠB en", + "Ġph ot", + "ĠIn ter", + "ĠT er", + "ul a", + "k n", + "ĠD an", + "ap t", + "Ġwork ing", + "e h", + "du ction", + "Ġd oc", + "Ġar r", + "Ġm aking", + "Ġimport ant", + "Ġto urn", + "c le", + "ĠG reen", + "i ers", + "Ġarch ite", + "ĠH am", + "ĠTex as", + "ail ed", + "ud e", + "re land", + "Ġart ist", + "Ġc ast", + "ĠWh ite", + "ĠP et", + "Ġgro w", + "ed y", + "Ġm unicip", + "Ġap pl", + "Ġg ood", + "im ately", + "it ted", + "ĠWh ile", + "ĠD el", + "Ġv ot", + "b and", + "ĠP ublic", + "Ġof fer", + "t a", + "id ing", + "ĠK e", + "ĠB as", + "c ial", + "ĠS ports", + "g o", + "Ġl ess", + "Ġtrad ition", + "Ġschool s", + "m on", + "ert ain", + "ic les", + "ĠMinist er", + "r as", + "ĠJ ose", + "Ġl ive", + "id ae", + "al a", + "ĠC ons", + "Ġd ata", + "ro ll", + "one y", + "it her", + "Ġph ys", + "Ġf und", + "Ġ199 3", + "ĠDem ocrat", + "Ġty p", + "Ġother s", + "ens ive", + "Ġh uman", + "Ġsh ould", + "Ġd aughter", + "ol a", + "ĠT or", + "ab ly", + "epend ent", + "at ives", + "Ġem ploy", + "Ġro ck", + "Ġd i", + "Ġgro und", + "ĠP eter", + "osp ital", + "Ġre v", + "ĠFran k", + "Ġrec ogn", + "Ġm ater", + "Ġhim self", + "Ġst ar", + "overn or", + "all s", + "v iron", + "Ġbuild ings", + "Ġde cl", + "Ġ =", + "re y", + "ĠCath olic", + "ĠM el", + "ĠS ong", + "ut y", + "ĠRich ard", + "le g", + "Ġr ul", + ") :", + "Ġac ross", + "az ine", + "Ġav ail", + "Ġf ire", + "Ġcomp anies", + "ĠS ur", + "g en", + "h i", + "ic ation", + "ĠSw ed", + "19 5", + "al y", + "ĠB ill", + "Ġb ody", + "p ite", + "s y", + "en a", + "ate g", + "ol f", + "Ġan im", + "ant ed", + "Ġcamp aign", + "Ġst ations", + "and ing", + "at re", + "Ġl anguage", + "sh ire", + "m ost", + "ri a", + "Ġe ight", + "19 4", + "um e", + "Ġdo es", + "ĠW il", + "b our", + "Ġaver age", + "ĠM ass", + "ĠL u", + "ĠU p", + "ĠF ore", + "Ġm ot", + "Ġ199 1", + "ce ed", + "Ġbl ack", + "Ġqu al", + "Ġex ist", + "Ġbec om", + "ĠPar is", + "ĠSec ond", + "Ġplay ing", + "ut es", + "ric ket", + "o ice", + "ra el", + "ĠL at", + "Ġt ro", + "g ress", + "Ġmod ern", + "Ġl ow", + "ĠHen ry", + "em or", + "Ġdef e", + "ĠSup er", + "ĠVict or", + "he ast", + "19 3", + "Ġh ow", + "ĠS ant", + "Ġepis ode", + "Ġ18 4", + "Ġp aint", + "st ro", + "Ġc le", + "Ġ et", + "ĠC ro", + "Ġgrad u", + "o res", + "S t", + "z il", + "Ġst age", + "Ġd ivision", + "Ġd ram", + "Ġex ample", + "Ġd er", + "ĠGeor g", + "Ġc ross", + "em ents", + "Ġ4 0", + "w rit", + "ud d", + "Ġr adio", + "ad a", + "Ġne ver", + "Ġl iving", + "air s", + "ĠD ire", + "Ġperform ed", + "h ood", + "Ġf oc", + "ĠL os", + "Ġfem ale", + "emb ly", + "ch ie", + "oc key", + "and id", + "Ġw inn", + "eth od", + "ĠH on", + "Ġl ight", + "ĠS ome", + "Ġse par", + "Ġart ists", + "Ġbel ie", + "ĠRe v", + "Ġf ree", + "ĠSm ith", + "Ġpolitic ian", + "Ġac qu", + "ĠP enn", + "Ġass oci", + "w are", + "ĠOr der", + "Ġf ight", + "t ime", + "ur a", + "ent ial", + "Ġcont ract", + "ov iet", + "2 4", + "ĠChampionship s", + "ĠL ake", + "ĠB ut", + "ibr ary", + "ough t", + "Ġstr ong", + "ign ed", + "Ġsuccess ful", + "Ġmon ths", + "ĠF C", + "Ġre d", + "Ġkill ed", + "at ory", + "im ate", + "Ġfin ished", + "ĠEduc ation", + "av al", + "Ġpl aces", + "id ents", + "Ġcon struction", + "ĠCh ic", + "he ad", + "pe ople", + "k ed", + "ĠI reland", + "ĠO l", + "Ġg ave", + "Ġestablish ments", + "Ġ198 8", + "ĠC amp", + "Ġm us", + "av es", + "ĠG o", + "Ġavail able", + "ĠDe f", + "Ġcon du", + "Ġa way", + "Ġgo al", + "Ġ198 9", + "v a", + "Ġperforman ce", + "if f", + "ell ing", + "ĠO b", + "ĠS aint", + "Ġt re", + "Ġal though", + "id s", + "ĠP an", + "as c", + "ish op", + "Ġpro t", + "Ġbo oks", + "ran ch", + "il ities", + "viron ment", + "it a", + "ĠS pec", + "Ġj ournal", + "an o", + "Ġin formation", + "Ġ ide", + "ĠD ay", + "ad o", + "inal s", + "z a", + "ic ated", + "ĠFilm s", + "he re", + "ĠOlymp ic", + "Ġd am", + "ĠC ur", + "Ġt aken", + "ĠV ill", + "ĠW in", + "ĠNot es", + "le ft", + "ell a", + "Ġcap t", + "it ch", + "i qu", + "ĠBra zil", + "ĠIs rael", + "ĠD u", + "ific ant", + "Ġshow s", + "Ġfollow ed", + ", \"", + "Ġr ank", + "o o", + "Ġag re", + "ĠR ob", + "ĠC areer", + "Ġto ur", + "ug by", + "Ġc ost", + "Ġm ix", + "ĠVirgin ia", + "Ġhe alth", + "Ġfr ont", + "Ġj ud", + "om a", + "ĠG overnment", + "Ġinclud es", + "Ġaward ed", + "Ġc irc", + "ut ch", + "Ġtourn ament", + "Ġc our", + "ĠM a", + "ĠL ife", + "ĠM in", + "\" |", + "Ġfeat ures", + "ig an", + "Ġ :", + "ĠJ ust", + "I I", + "Ġvi ol", + "Ġoriginal ly", + "Ġdesign ed", + "s erv", + "ĠT our", + "ĠAt l", + "Ġhouse hold", + "ĠH ill", + "ag ed", + "nd er", + "n y", + "i os", + "Ġac cess", + "Ġmater ial", + "ĠTe am", + "Ġse ven", + "se c", + "Ġs en", + "ve y", + "Ġc ourt", + "ĠE mp", + "e g", + "ĠC arl", + "ĠIt s", + "ĠM r", + "Ġim pro", + "Ġp ut", + "om s", + "Ġc ivil", + "Ġrel ig", + "2 6", + "Ġrem ained", + "ĠP erson", + "ĠHistor ic", + "Ġs ound", + "ĠAr ts", + "Ġs il", + "ist an", + "Ġstud y", + "Ġl ab", + "en ed", + "ĠG all", + "ĠR ock", + "Ġon ce", + "ĠG ra", + "2 7", + "Ġfeat ured", + "Ġin j", + "Ġd ou", + "ĠRail way", + "er ous", + "ar ia", + "ĠS qu", + "Ġfor ces", + "atri ate", + "Ġsc ored", + "ĠL and", + "ur ity", + "Ġc y", + "Ġ ill", + "om m", + "Ġt est", + "Ġ #", + "Ġp ress", + "ac hes", + "Ġ198 7", + "ol k", + "Ġb ar", + "ĠChic ago", + "2 8", + "he st", + "it es", + "Ġmark et", + "Ġbas ketball", + "ip le", + "Ġde v", + "Ġre b", + "Ġsing er", + "Ġsign ificant", + "ĠM o", + "ach ing", + "ap s", + "il ies", + "Ġpl an", + "end er", + "Ġex ecut", + "r or", + "ĠS oviet", + "ic ations", + "re l", + "Ġlead ing", + "Ġtra ining", + "em s", + "ĠSc ot", + "v in", + "Ġpol ice", + "Ġmed ia", + "ĠFor ce", + "Ġe arn", + "ver t", + "ĠS ub", + "y e", + "ic y", + "Ġ195 0", + "ĠM il", + "C h", + "Ġm ount", + "Ġlarg est", + "Ġr ights", + "ĠS ir", + "ear ch", + "ĠComm ission", + "augh t", + "ĠT wo", + "ĠItal y", + "m ier", + "A mer", + "ĠS o", + "ĠPro fess", + "Ġ198 6", + "our ce", + "Ġm ust", + "Ġair craft", + "Ġst ri", + "ĠM od", + "Ġmod el", + "ut er", + "ĠMex ico", + "Ġ198 4", + "Ġch art", + "Ġen c", + "y p", + "Ġs em", + "ĠCl ass", + "ĠI ll", + "Ġthrough out", + "ĠPol it", + "Ġl iter", + "ist ics", + "ĠP arliament", + "Ġg old", + "Ġtrans fer", + "Ġcons ist", + "v ing", + "ĠS ince", + "ĠMar k", + "Ġinvol ved", + "Ġc ou", + "ĠC at", + "Ġlist ed", + "Ġsub sequ", + "ord er", + "Ġst ated", + "ien ces", + "Ġwh ite", + "ĠO ff", + "ĠAn n", + "Ġw id", + "un k", + "Ġbo ard", + "s el", + "Ġintro duced", + "Ġrepl aced", + "ĠIr ish", + "Ġs ugg", + "ann el", + "Ġe arl", + "Ġse en", + "Ġcompet ition", + "Ġb i", + "Ġ18 3", + "un s", + "ĠE r", + "ĠProv ince", + "ĠFlor ida", + "Ġc andid", + "Ġd iv", + "if t", + "6 0", + "2 9", + "Ġtrans l", + "ĠN avy", + "ĠM ur", + "Ġ198 5", + "Ġwrit er", + "Ġevent ually", + "Ġpriv ate", + "Ġv ia", + "Ġresp ons", + "rib ution", + "ut ure", + "ĠTe chn", + "Ġcrit ic", + "Ġresult s", + "Ġent ire", + "u ff", + "Ġvoc als", + "c her", + "Ġab le", + "u z", + "um m", + "ĠD o", + "te xt", + "Ġr an", + "Ġadd ed", + "ret ary", + "ĠAl though", + "Ġc ollege", + "ĠD en", + "Ġpro ble", + "ĠO per", + "ĠComm ittee", + "ĠF estival", + "Ġfour th", + "ĠS il", + "o ch", + "Ġp ast", + "Ġcount ries", + "ĠF in", + "as k", + "ĠB us", + "ro ad", + "A S", + "el t", + "ĠW ales", + "c ript", + "Ġw ind", + "ĠAngel es", + "y r", + "ĠO ver", + "Ġcent ral", + "Ġst e", + "Ġact ress", + "m b", + "uf act", + "Ġsur v", + "as ing", + "ul arly", + "Ġa ud", + "Ġwrit ers", + "u a", + "ian o", + "Ġcomm and", + "Ġass ociation", + "Ġle ast", + "m in", + "Ġres pect", + "i res", + "ĠBro wn", + "ĠE v", + "Ġl oss", + "yl van", + "Amer ican", + "Ġsp ace", + "por ary", + "Ġs er", + "A R", + "ĠSc ience", + "ĠO ut", + "mer cial", + "8 0", + "ĠN orthern", + "Ġun its", + "ĠM ost", + "ab ility", + "f ic", + "ĠR h", + "Ġn omin", + "ĠF ound", + "ĠSt ar", + "ĠRuss ia", + "Ġm inist", + "Ġs ch", + "b b", + "ok e", + "ĠU k", + "ĠG od", + "r up", + "Ġdeg ree", + "i ro", + "ĠCong ress", + "ĠCarol ina", + "Ġst aff", + "Ġdisc over", + "Ġ198 3", + "Ġr ange", + "Ġst ates", + "ib l", + "ĠAr g", + "ri al", + "Ġcl ose", + "ĠR os", + "Ġdoc ument", + "ra w", + "ĠJ un", + "Ġbroad cast", + "n ow", + "Ġf ig", + "Ġab ove", + "pl es", + "Ġre ached", + "med i", + "g ian", + "l or", + "Ġc ensus", + "ĠServ ice", + "st e", + "ant ic", + "Ġpl ant", + "ĠCol umb", + "ĠL iber", + "ĠE s", + "ĠC r", + "Ġch ange", + "erv e", + "T V", + "Ġprov ided", + "ĠJose ph", + "ĠO h", + "Ġse asons", + "Ġt reat", + "Ġcurrent ly", + "oy s", + "Ġex hib", + "ĠO ld", + "i ents", + "b ur", + "rough t", + "Ġg et", + "Ġcont ribut", + "Ġexp ress", + "ylvan ia", + "l im", + "Ġp ur", + "Ġe ither", + "Ġf av", + "Ġ( \"", + "Ġch ampionship", + "r ative", + "ĠS a", + "f ace", + "Ġtra vel", + "or por", + "Ġac cept", + "Ġpl aced", + "u x", + "sy ch", + "Ġmiss ing", + "Ġup on", + "ĠF re", + "al ed", + "F A", + "Ġrail way", + ") ;", + "bo ard", + "ĠS eries", + "Ġs aw", + "ad ium", + "Ġinter est", + "st ant", + "ian a", + "Ġstru ct", + "ĠC am", + "F L", + "ĠP ac", + "ab it", + "ist ic", + "ip l", + "Ġ198 2", + "Ġcent er", + "Ġm ur", + "w ell", + "Ġk ey", + "Ġ !", + "Ġa ction", + "ĠAss embly", + "a ut", + "ĠF ort", + "ĠD ou", + "Ġocc ur", + "ed s", + "Ġty pe", + "ĠM os", + "cept ion", + "Ġp ot", + "ĠM ic", + "kn own", + "p ly", + "is es", + "Ġc op", + "ĠF urther", + "ĠF ollow", + "Ġn ight", + "Ġa chie", + "ig er", + "g l", + "ĠS k", + "Ġd u", + "ĠR am", + "Ġatt ended", + "Ġ197 9", + "stit ution", + "Ġle arn", + "ĠM ill", + "Ġcharact ers", + "ĠB re", + "l anguage", + "ĠB attle", + "ĠA rab", + "Ġse x", + "ubl ican", + "ay ing", + "ĠM at", + "az z", + "Ġcap ital", + "p ress", + "ĠP opul", + "et te", + "Ġme as", + "Ġdec ided", + "ĠM ain", + "ĠW ood", + "Ġf if", + "l am", + "i h", + "ĠM ajor", + "ĠT ro", + "ele b", + "Ġar g", + "Ġdec ision", + ". )", + "ult ural", + "Ġprevious ly", + "Ġdra w", + "ĠRes earch", + "eng th", + "ar ily", + "ĠEmp ire", + "ĠG reek", + "ĠF red", + "ult ure", + "c a", + "Ġst re", + "Ġde stro", + "Ġne igh", + "Ġ197 2", + "Ġlead er", + "Ġh om", + "d en", + "ĠDemocrat ic", + "g r", + "Ġappro x", + "am ily", + "Ġstud io", + "Ġse ction", + "er o", + "Ġus ually", + "Ġme an", + "ĠPenn s", + "Ġ197 6", + "or ing", + "Ġm ass", + "ĠS ol", + "Ġdefe ated", + "ĠOffic ial", + "ĠH a", + "Ġsing les", + "and a", + "Ġed ition", + "ĠMart in", + "u an", + "ĠD utch", + "Ġre ve", + "Ġocc up", + "ow ers", + "st ra", + "re me", + "ĠC le", + "ĠS un", + "p ing", + "ĠFollow ing", + "Ġkn ow", + "Ġg rand", + "Ġn atural", + "Ġinst ead", + "Ġeff ort", + "ĠMed al", + "ĠJ im", + "ĠScott ish", + "Ġp ain", + "Ġpo et", + "Ġact or", + "Ġr iver", + "ĠSp ain", + "ch an", + "Ġf arm", + "Ġp arent", + "Ġacc ount", + "il s", + "ig a", + "ĠS ocial", + "ĠPenns ylvania", + "Ġb ur", + "B A", + "or a", + "Ġsub ject", + "st r", + "c el", + "c ell", + "Ġ198 1", + "Ġw inning", + "Ġproduc er", + "ĠG ar", + "inc ip", + "ans as", + "ĠM embers", + "Ġinvest ig", + "Ġwh ose", + "ult y", + "ult s", + "Ġm ethod", + "ĠW al", + "um ents", + "Ġpl ann", + "Ġ197 8", + "ĠL ove", + "Ġpart s", + "ĠIn c", + "Ġact ive", + "Ġ197 4", + "Ġrepresent ed", + "in ent", + "ĠM ilitary", + "Ġmov ement", + "at o", + "Ġg e", + "ĠH ow", + "Ġprim ary", + "Ġprov ide", + "ĠAs ian", + "Ġfam ilies", + "Ġcult ure", + "Ġ196 8", + "ĠP ak", + "w an", + "Ġrelations hip", + "Ġplay s", + "9 0", + "ĠL ater", + "ĠF inal", + "b ased", + "Ġf ar", + "Ġp ark", + "ĠR adio", + "Ġsc ient", + "Ġorgan iz", + "pt ion", + "Ġpr ison", + "ĠJ ud", + "Ġde al", + "ĠLe e", + "Ġp red", + "Ġn orthern", + "Ġ194 0", + "Ġs outhern", + "Ġbeh ind", + "Ġp urch", + "ĠE p", + "pos ition", + "r ig", + "Ġt ax", + "ĠH ot", + "cl us", + "ĠT w", + "ar io", + "Ġ197 5", + "ug u", + "ĠC ross", + "l a", + "ĠI ran", + "ĠYou ng", + "ig ital", + "Ġmus ical", + "ĠBu ild", + "ad y", + "ens ion", + "Ġs ize", + "y er", + "ĠC ivil", + "ĠCh ief", + "Ġb ank", + "Ġl ik", + "7 0", + "omet imes", + "Ġ197 7", + "se e", + "ri e", + "Ġl ower", + "ĠB ul", + "ing u", + "ĠBo ard", + "w er", + "ĠB et", + ".. .", + "Ġgo als", + "isc o", + "ĠS ar", + "ĠSp ace", + "Ġb rought", + "ĠP ost", + "Ġread ing", + "Ġco ast", + "Ġnew sp", + "ĠB ig", + "ĠB ase", + "erg y", + "Ġout side", + "ĠL oc", + "Ġac adem", + "ĠH el", + "Ġs us", + "s k", + "ĠS outhern", + "ĠReg ister", + "\" )", + "n ot", + "Ġp ers", + "Ġcolle ction", + "Ġh ard", + "Ġorgan ization", + "im b", + "ar ing", + "Ġc ut", + "Ġ i", + "ĠC D", + "end s", + "ĠH aw", + "Ġr ather", + "all ed", + "ĠB ack", + "ers ey", + "Ġ197 3", + "Ġf all", + "m ark", + "Ġclos ed", + "a o", + "Ġindust ry", + "Ġrun s", + "Ġwrit ing", + "al i", + "Ġn etwork", + "Ġg irl", + "Ġend ed", + "N A", + "Ġc ricket", + "ĠJ ack", + "Ġman ufact", + "Ġc are", + "h an", + "Ġdram a", + "Ġk ing", + "ĠL uc", + "or se", + "Ġfor ce", + "Ġsh ot", + "ir m", + "Ġfootball er", + "Ġ193 0", + "ĠAd m", + "it an", + "Ġsystem s", + "anc ial", + "p an", + "at i", + "pec ially", + "he t", + "aw a", + "ĠO x", + "I D", + "ĠEd ward", + "ĠEng ine", + "ct ive", + "Ġh it", + "ĠL ong", + "Ġes c", + "ul ation", + "oun ter", + "Ġposs ible", + "Ġw ood", + "Ġim m", + "ĠVal ley", + "ĠR el", + "Ġreg ard", + "ĠU nder", + "ĠT ri", + "Ġ194 5", + "Ġmat ches", + "m ond", + "Ġallow ed", + "Ġstud ies", + "ĠV er", + "ĠU r", + "ĠS pr", + "ĠT imes", + "Ġne g", + "Ġal most", + "it ors", + "ĠRep ublican", + "Ġreg ular", + "Ġ196 9", + "ven ue", + "id er", + "Ġstru cture", + "Ġst op", + "in ary", + "Ġ197 1", + "Ġmag azine", + "ĠJew ish", + "em ic", + "ur b", + "Ġchang ed", + "Ġcomm ission", + "Ġfre qu", + "c ient", + "enn is", + "ĠTe levision", + "in ated", + "l ike", + "ĠJ ul", + "ent h", + "Ġc at", + "ĠB ob", + "back ground", + "ĠP o", + "ĠB ank", + "Ġd en", + "ĠMich igan", + "Ġis land", + "c ing", + "Ġpl at", + "Ġsett le", + "Ġsch ol", + "ĠD isc", + "Ġlaun ched", + "Ġb all", + "ĠM ah", + "Ġoper ations", + "it iz", + "ĠC amb", + "air man", + "ov ers", + "Ġw oman", + "ĠPl aces", + "velop ment", + "Ġbeg inning", + "ac ing", + "Ġperson al", + "ĠJ er", + "ĠO s", + "Ġter rit", + "k o", + "Ġto wards", + "3 5", + "on n", + "Ġte xt", + "i as", + "Ġtrans port", + "ĠMc C", + "Ġgen us", + "ĠA thlet", + "Ġown ed", + "Ġdet erm", + "Ġt aking", + "Ġn ar", + "Ġf ood", + "ĠOp en", + "Ġmanag er", + "et ts", + "Ġacc ording", + "e es", + "Ġ196 7", + "Ġc ases", + "ĠT im", + "Ġm er", + "ĠH ung", + "ĠHe alth", + "ip s", + "y an", + "Ġn ames", + "ak a", + "Ġind ependent", + "Ġcon stru", + "Ġwh om", + "Ġp ay", + "us band", + "ĠV i", + "ly ing", + "Ġ196 4", + "ol s", + "Ġsc ience", + "Ġf a", + "Ġrem ov", + "Ġoffic er", + "Ġc red", + "ĠPhil ipp", + "Ġ )", + "ĠOh io", + "ĠB h", + "Ġsc ore", + "st ate", + "ĠK ent", + "Ġapprox imately", + "ĠIn f", + "Ġmin or", + "Ġv eh", + "ĠT op", + "Ġob serv", + "ĠL ine", + "ĠF r", + "7 5", + "ĠUn ivers", + "Ġcomp let", + "Ġbre ak", + "ĠR ou", + "im a", + "ĠPol and", + "Ġfun ction", + "ib ility", + "ĠJ o", + "b ury", + "ino is", + "Ġe ver", + "Ġsc reen", + "b on", + "Ġconc ern", + "Ġsp ent", + "Ġar my", + "ĠG al", + "ĠArg ent", + "Ġaddition al", + "ct ing", + "g a", + "pe cted", + "Ġsqu ad", + "Ġ6 0", + "ĠD is", + "o id", + "Ġph il", + "ĠII I", + "ĠA re", + "o ir", + "Ġnot ed", + "in et", + "ĠScot land", + "ĠM ot", + "ĠG h", + "Ġs elf", + "Ġob ject", + "en ced", + "Ġcomple x", + "Ġbo x", + "ir a", + "Ġc eleb", + "amp ions", + "ĠT re", + "ach us", + "ĠL ord", + "if y", + "w w", + "Ġiss ues", + "Ġcount y", + "ĠPol ish", + "Ġ19 20", + "os h", + "il ed", + "Ġch ief", + "ĠB or", + "en ces", + "Ġsen ior", + "es h", + "k ing", + "ĠQue en", + "Ġc he", + "Ġmon th", + "Ġb attle", + ": #", + "Ġcom mercial", + "ost on", + "Ġl ived", + "Ġs ummer", + "Ġele ctions", + "4 5", + "Ġits elf", + "Ġd ate", + "Ġmult iple", + "Ġrel ated", + "uf fer", + "ĠPac ific", + "Ġs at", + "read y", + "Ġpolitic ians", + "Ġfoc us", + "Ġhig hest", + "Ġro ute", + "ĠNew s", + "Ġso on", + "ĠM att", + "ĠJ r", + "ĠIll inois", + "Ġtradition al", + "d own", + "Ġto o", + "Ġl ittle", + "Ġf uture", + "Ġle t", + "Ġqu est", + "Ġes pecially", + "ĠDire ctor", + "Ġhig her", + "Ġopen ing", + "ay a", + "ard en", + "Ġsup er", + "Ġlo ok", + "ĠE nd", + "Ġ196 5", + "um s", + "Ġm oney", + "Ġc al", + "ac her", + "ĠO k", + "ĠBrit ain", + "Ġrequ ired", + "ĠRep resent", + "achus etts", + "f ect", + "Ġinter view", + "Ġun ion", + "ĠCon ference", + "ĠD i", + "ĠJ ersey", + "Ġ196 6", + "bur gh", + "em porary", + "ĠS and", + "ĠGeorg ia", + "Ġen vironment", + "r ich", + "ad or", + "Ġed itor", + "ct ic", + "ob al", + "Ġcont ains", + "Ġappear ance", + "ĠC y", + "ĠAs ia", + "Ġbel ow", + "Ġ18 0", + "k ins", + "Ġproper ty", + "Ġpri or", + "ĠG overnor", + "ĠA z", + "19 0", + "ĠC olle", + "ĠL ab", + "ĠMass achusetts", + "Ġvict ory", + "h ouse", + "Ġme ans", + "Ġsele cted", + "Ġent ered", + "ch ange", + "on se", + "ĠB oston", + "ĠF er", + "Ġstud ied", + "d s", + "Ġpro f", + "ig r", + "p ut", + "Ġh usband", + "ĠL o", + "ĠBo ok", + "Ġpract ice", + "ĠEast ern", + "S A", + "Ġe mer", + "Ġsur round", + "Ġloc ation", + "al ys", + "st anding", + "Ġex am", + "ut en", + "Ġassoci ated", + "emor ial", + "ĠTh at", + "Ġun it", + "ĠC O", + "ĠJ ournal", + "vent ion", + "Ġm ission", + "Ġstruct ures", + "Ġb ass", + "Ġr ad", + "ĠHe ad", + "Ġmur der", + "Ġtr ade", + "j a", + "Ġ3 5", + "Ġd on", + "w a", + "Ġprofess or", + "ĠL ibrary", + "ĠColumb ia", + "ĠB ang", + "Ġc ertain", + "Ġcent re", + "ĠJ ac", + "Ġstand ard", + "Ġship s", + "ĠG re", + "F C", + "Ġret ired", + "op er", + "Ġse at", + "Ġad op", + "Ġearl ier", + "ĠPr ince", + "Ġar ran", + "Ġ ens", + "3 3", + "i i", + "Ġrun ning", + "Ġmanag ement", + "ĠM ore", + "Ġ er", + "Ġbecom ing", + "Ġd om", + "ĠJe an", + "Ġde partment", + "ĠG ame", + "w ith", + "ĠF ield", + "Ġstud ent", + "ry ing", + "Ġ194 4", + "ĠM P", + "Ġactiv ities", + "t ained", + "Ġso ft", + "Ġt rib", + "ĠThe atre", + "ĠJ ones", + "Ġclub s", + "Ġcom e", + "ĠWilliam s", + "Ġl ength", + "an ks", + "Ġem b", + "Ġmunicip ality", + "il a", + "Ġleg al", + "and ed", + "i y", + "al le", + "Ġcoll abor", + "ĠSt an", + "ail s", + "ig g", + "ĠDe velopment", + "Ġmed ical", + "Ġact ors", + "Ġs uffer", + "Ġcom edy", + "arri age", + "in em", + "N E", + "ĠM iddle", + "gy pt", + "ian ce", + "Ġleg isl", + "Ġinit ially", + "om y", + "ĠW eb", + "Ġqu arter", + "Ġcaus ed", + "9 9", + "ĠM any", + "Ġal ready", + "ad el", + "Ġs ometimes", + "Ġp ie", + "s en", + "b re", + "ĠS oc", + "Ġp en", + "Ġth us", + "Ġtra in", + "ĠCo ast", + "ĠFranc isco", + "ĠE conom", + "ĠV an", + "Ġdestro y", + "Ġmov e", + "Ġoper ated", + "et ic" + ] + } +} \ No newline at end of file diff --git a/models/components/layers/tokenizer_models/bpe_en_wiki_5000_simplified.model b/models/components/layers/tokenizer_models/bpe_en_wiki_5000_simplified.model new file mode 100644 index 00000000..ff49bba2 --- /dev/null +++ b/models/components/layers/tokenizer_models/bpe_en_wiki_5000_simplified.model @@ -0,0 +1,9994 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 0, + "content": "[PAD]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 1, + "content": "[EOT]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 2, + "content": "[UNK]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + } + ], + "normalizer": { + 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"Ġex t", + "ap an", + "il t", + "eb ru", + "Ġs m", + "lev ision", + "ebru ary", + "Ġpubl ic", + "un g", + "ĠK ing", + "ĠI I", + "Ġst ate", + "Ġsy stem", + "ĠP ar", + "Ġl ong", + "Ġo b", + "ual ly", + "Ġd r", + "ar ch", + "ĠB ro", + "f ul", + "Ġf inal", + "Ġc areer", + "il it", + "n er", + "ĠH is", + "Ġs ame", + "ul ar", + "an c", + "a use", + "Ġcall ed", + "am b", + "vi ew", + "Ġfollow ing", + "ĠF ebruary", + "in c", + "z e", + "ov e", + "y n", + "Ġret urn", + "Ġf in", + "on y", + "Ġc ity", + "Ġw ill", + "iv ision", + "ĠEuro pe", + "ĠS w", + "a f", + "h ip", + "Ġch ild", + "r at", + "al es", + "ak ing", + "Ġsever al", + "Ġcomm un", + "ren ch", + "il ity", + "Ġw omen", + "re nt", + "oin t", + "ĠM ed", + "or ks", + "ĠJ apan", + "s p", + "an ge", + "ch n", + "ial ly", + "c om", + "c on", + "ure d", + "Ġl ist", + "Ġs uc", + "ĠGe or", + "p ed", + "Ġe arly", + "Ġa ir", + "ĠB ar", + "Ġcont in", + "Ġ '", + "Ġto wn", + "Ġcomp et", + "Ġcl ub", + "ĠE l", + "Ġm in", + "Ġres ult", + "h am", + "ib le", + "1 2", + "ĠA nd", + "ĠH ar", + "ĠH istory", + "is ed", + "al ly", + "Ġs ince", + "ic es", + "ain s", + "st er", + "19 9", + "ĠThe y", + "ĠP art", + "b o", + "r ing", + "Ġn ear", + "ang u", + "Ġn amed", + "Ġorig inal", + "end ed", + "u ed", + "ĠCh rist", + "at a", + "Ġhe ad", + "ĠA b", + "1 6", + "Ġb el", + "Ġdis c", + "Ġpl ace", + "ĠF rench", + "id ed", + "i ence", + "Ġ201 1", + "ĠRe p", + "Ġc ur", + "Ġbe gan", + "il le", + "Ġt it", + "Ġus e", + "iv al", + "an e", + "re en", + "Ġpro gram", + "ĠU S", + "Ġv ill", + "Ġm ember", + "Ġm embers", + "1 5", + "Ġp rom", + "Ġhe ld", + "Ġan y", + "Ġl and", + "ĠCom p", + "Ġb ased", + "ain t", + "ĠR es", + "ĠM c", + "Ġthe se", + "Ġcomp le", + "b le", + "Ġap p", + "m e", + "Ġsup port", + "oun c", + "ĠAf ric", + "al ity", + "Ġg overnment", + "r ight", + "Ġ200 8", + "ĠR uss", + "Ġm et", + "Ġ201 2", + "Ġw e", + "ĠR o", + "a ugh", + "Ġ19 0", + "ĠA ir", + "Ġestabl ished", + "i ous", + "Ġal ong", + "Ġe ff", + "t he", + "Ġ ,", + "ĠE ast", + "ĠCh ampionship", + "Ġdesc rib", + "T he", + "in ess", + "Ġen g", + "ition s", + "ĠC ollege", + "Ġp ass", + "ĠWill iam", + "ĠG en", + "an a", + "od e", + ". .", + "Ġd ist", + "pe ct", + "al th", + "ad em", + "Ġ200 9", + "Ġloc ated", + "ur g", + "u k", + "ĠThe re", + "at or", + "ical ly", + "ĠH er", + "or m", + "ac ed", + "Ġd id", + "Ġl aw", + "in o", + "Ġc ol", + "Ġo cc", + "Ġchar act", + "che s", + "f ord", + "ĠAr t", + "c ol", + "at s", + "i en", + "ubl ic", + "ĠP eople", + "Ġp os", + "Ġy ou", + "Ġ201 3", + "ond on", + "ĠN e", + "oci ation", + "ĠIt al", + "Ġ200 6", + "Ġ200 7", + "Ġh ouse", + "Ġe ach", + "t o", + "ĠH igh", + "ing ton", + "ore d", + "Ġ201 4", + "ro w", + "Ġ201 6", + "Ġserv ed", + "our t", + "ĠF ilm", + "Ġto ok", + "qu e", + "Ġs im", + "k y", + "Ġ X", + "1 4", + "ĠRe c", + "Ġb and", + "Ġt r", + "Ġst ation", + "Ġh ome", + "ĠD istrict", + "Ġb us", + "av ing", + "ĠS y", + "ĠIn ternational", + "Ġb orn", + "Ġg ames", + "Ġn ational", + "m ed", + "ly mp", + "i et", + "ĠA c", + "Ġin st", + "Ġ201 5", + "re w", + "er g", + "Ġpro fess", + "in ed", + "Ġ201 8", + "ight s", + "p s", + "Ġcomp any", + "Ġl ine", + "Ġp erson", + "1 3", + "ĠO lymp", + "Ġpopul ation", + "Ġm ajor", + "Ġ18 9", + "ac es", + "our n", + "Ġ20 20", + "ĠD av", + "ill ion", + "ĠL iving", + "ĠL ondon", + "Ġ201 7", + "ĠSe c", + "Ġs l", + "Ġb as", + "Ġj oin", + "Ġsm all", + "Ġle g", + "Ġloc al", + "ĠInd ian", + "ĠL a", + "ard s", + "Ġv ari", + "Ġrece ived", + "Ġde b", + "Ġev ent", + "Ġ2 5", + "Ġgen eral", + "Ġman ag", + "Ġpubl ished", + "Ġte levision", + "ĠC up", + "et t", + "Ġcent ury", + "ĠN ot", + "ilit ary", + "s ide", + "et er", + "Ġ3 0", + "at ure", + "Ġ201 9", + "Ġsing le", + "Ġbu ilt", + "ĠS up", + "Ġv i", + "ĠPh il", + "a ul", + "Ġd ue", + "Ġc ould", + "Ġv ers", + "ĠH owever", + "Ġ $", + "Ġap pro", + "ar ge", + "Ġw orld", + "Ġspec ies", + "ar a", + "Ġc olle", + "um n", + "Ġsuc cess", + "ie f", + "ounc il", + "Ġp o", + "v ers", + "Ġst r", + "in t", + "Ġa round", + "ord ing", + "if ied", + "ĠA ng", + "uth or", + "id es", + "at ely", + "om in", + "ĠG l", + "Ġo ld", + "Ġed uc", + "ĠT r", + "arri ed", + "ĠL ist", + "ĠN o", + "Ġt erm", + "is on", + "ro l", + "ĠC or", + "um mer", + "Ġa ge", + "ff ic", + "l ing", + "ĠT ra", + "ĠH ouse", + "Ġhe l", + "Ġal ign", + "Ġe p", + "ord s", + "e f", + "oc ial", + "ĠP ark", + "r ation", + "Ġp resent", + "ĠP re", + "Ġle ft", + "Ġl ast", + "Ġs ix", + "ĠE n", + "Ġh istory", + "Ġn ow", + "i od", + "a im", + "Ġs aid", + "ĠS an", + "Ġt y", + "Ġ200 0", + "Ġrep resent", + "re et", + "a us", + "id d", + "ra ft", + "t t", + "Ġd ied", + "Ġplay er", + "op h", + "Ġ 0", + "Ġre st", + "1 1", + "Ġc amp", + "iz ation", + "ĠD uring", + "Ġc ar", + "Ġl a", + "um b", + "angu age", + "Ġto p", + "ne y", + "Ġp ar", + "ĠB r", + "on es", + "Ġvill age", + "Ġwith in", + "ĠM ich", + "Ġd et", + "iv en", + "Ġst yle", + "Ġf ive", + "Ġ200 5", + "Ġt ri", + "Ġn orth", + "Ġsh ort", + "Ġ2 4", + "v an", + "ĠR oy", + "Ġor der", + "ide o", + "Ġ18 8", + "Ġd ay", + "in k", + "ĠD es", + "o ks", + "et her", + "u f", + "Ġdescrib ed", + "ak es", + "s c", + "ow s", + "ur ther", + "19 8", + "ent ly", + "Ġth ird", + "Ġbuild ing", + "al k", + "Ġinclud e", + "ĠR iver", + "Ġinclud ed", + "Ġp ost", + "um ent", + "Ġd own", + "ast er", + "if orn", + "ĠP er", + "Ġdif fer", + "d ay", + "he m", + "ĠA g", + "Ġchild ren", + "Ġre port", + "ur s", + "ĠEng land", + "c o", + "ĠCh ar", + "Ġ202 1", + "att le", + "Ġre f", + "vi ous", + "Ġre qu", + "ĠS ch", + "ĠA ct", + "n a", + "er a", + "feren ce", + "Ġbec ause", + "ke y", + "t ain", + "iforn ia", + "Ġad m", + "ĠB y", + "th ough", + "Ġann oun", + "Ġl arge", + "Ġcons id", + "iv ely", + "re g", + "ĠG ro", + "ĠM al", + "Ġs outh", + "g round", + "Ġs on", + "ĠAustral ia", + "Ġ200 4", + "ic o", + "Ġd em", + "rid ge", + "ri end", + "Ġd istrict", + "ĠCal ifornia", + "l er", + "col or", + "Ġst and", + "ĠP ort", + "ĠB ra", + "Ġm ark", + "ĠM on", + "os p", + ". ,", + "use um", + "ct ure", + "Ġar ch", + "Ġp ower", + "inn ing", + "Ġst at", + "Ġbo ok", + "uc k", + "od y", + "ĠY ou", + "ĠPart y", + "en cy", + "Ġl o", + "Ġdeath s", + "ri pt", + "Ġ202 2", + "Ġc rit", + "ad io", + "it er", + "part ment", + "land s", + "in ing", + "Ġw ar", + "con om", + "um an", + "Ġappe ar", + "Ġc or", + "ĠD em", + "Ġm ale", + "Ġl arg", + "k a", + "Ġis s", + "ĠR oman", + "re st", + "Ġ18 6", + "Ġj ust", + "ist er", + "Ġ2 2", + "Ġre pl", + "ĠB el", + "c er", + "al d", + "al f", + "Ġw ater", + "Ġserv ice", + "g ed", + "Ġper iod", + "Ġn on", + "Ġper form", + "Ġadd ition", + "n ess", + "Ġres p", + "v es", + "Ġk ill", + "am ent", + "oci ety", + "ĠA nt", + "Ġde p", + "ee k", + "Ġv is", + "he l", + "our s", + "e le", + "Ġre fer", + "ĠS m", + "a ff", + "er ing", + "ĠO ne", + "Ġmov ed", + "ĠA ward", + "en se", + "Ġc r", + "ĠE m", + "Ġdiffer ent", + "iz e", + "Ġcur rent", + "ĠAustral ian", + "Ġro und", + "Ġl ike", + "ot e", + "rib ut", + "5 0", + "ĠAr my", + "Ġ2 3", + "Ġinc re", + "om b", + "Ġm illion", + "Ġl ed", + "k i", + "l ine", + "ĠN or", + "p ar", + "Ġt rad", + "Ġbus iness", + "am a", + "ĠA cc", + "t al", + "av y", + "her n", + "ĠM inist", + "Ġan other", + "Ġth ose", + "o on", + "Ġh istor", + "ĠR ober", + "op s", + "o f", + "Ġsh ip", + "Ġ18 7", + "Ġe qu", + "Ġst ill", + "and er", + "Ġ if", + "Ġf ather", + "Ġ el", + "Ġf ield", + "Ġw est", + "ĠJ ames", + "Ġd el", + "ĠInd ia", + "Ġex per", + "Ġa uthor", + "i ber", + "ĠM or", + "ĠSt e", + "d e", + "ep end", + "Ġf ac", + "c hed", + "iv il", + "Ġact iv", + "Ġh and", + "Ġcomp os", + "ĠCh urch", + "ĠM usic", + "Ġbe st", + "ĠGen eral", + "ĠFran ce", + "Ġp ort", + "Ġk m", + "o x", + "Ġannoun ced", + "Ġin ternational", + "Ġdeb ut", + "stru ction", + "Ġtit le", + "Ġcount ry", + "d om", + "ĠQ u", + "Ġs old", + "Ġf em", + "ĠTh om", + "Ġw in", + "as es", + "Ġ200 3", + "v ille", + "Ġ( )", + "Ġestabl ish", + "ĠY ear", + "19 7", + "u el", + "Ġcharact er", + "Ġe ast", + "Ġpolit ic", + "ĠGeor ge", + "ĠD ivision", + "f ield", + "un icip", + "us h", + "Ġs ide", + "c ast", + "Ġp at", + "Ġd ra", + "b e", + "ĠRoy al", + "Ġc ult", + "ourn al", + "ĠA p", + "an ish", + "re ad", + "Ġn ov", + "Ġa v", + "g color", + "Ġpre vious", + "ĠM ount", + "g in", + "Ġm ake", + "ĠEurope an", + "Ġ very", + "ri es", + "a el", + "ĠQ ue", + "ĠP e", + "ort hern", + "Ġa ward", + "ĠCl ub", + "ĠCanad ian", + "Ġset t", + "ug g", + "ĠAc adem", + "Ġele ction", + "Ġpro ject", + "ip p", + "l in", + "le x", + "ĠP al", + "Ġam ong", + "m s", + "ap p", + "ab or", + "Ġw orks", + "ĠV al", + "ĠG r", + "Ġ2 6", + "ĠCanad a", + "Ġ200 2", + "ĠE le", + "i us", + "ĠR ich", + "Ġf r", + "al ign", + "Ġro le", + "g es", + "Ġpro duced", + "ĠW hen", + "w ork", + "ĠP aul", + "Ġf e", + "Ġm ag", + "pl oy", + "for man", + "Ġle vel", + "ĠB u", + "o ff", + "Ġof ten", + "ol ution", + "Ġa ff", + "Ġl ate", + "Ġs pe", + "Ġre ad", + "Ġw eb", + "a pe", + "ĠDav id", + "ĠC ouncil", + "Ġth ough", + "Ġinv ol", + "Ġre se", + "Ġb gcolor", + "ĠF ootball", + "Ġp e", + "Ġ199 0", + "it ar", + "st on", + "at ch", + "Ġwrit ten", + "Ġex pl", + "Ġ2 8", + "Ġ2 7", + "or ies", + "im ent", + "ĠL ou", + "Ġeng ine", + "Ġf ore", + "ĠH ol", + "Ġep is", + "ĠAss ociation", + "Ġ es", + "stit ute", + "Ġad v", + "b ack", + "Ġte chn", + "ac ks", + "Ġ200 1", + "ĠW ith", + "b an", + "ĠR ed", + "Ġstart ed", + "Ġev en", + "ĠD r", + "umn i", + "Ġyou ng", + "Ġp oss", + "Ġall ow", + "o le", + "em pt", + "Ġcl os", + "iv id", + "o e", + "ro te", + "Ġm arried", + "it or", + "Ġg rad", + "ĠR ail", + "v al", + "Ġc ame", + "Ġoffic ial", + "Ġin it", + "Ġc over", + "Ġim port", + "ĠP resident", + "Ġcre ated", + "ĠAmer ica", + "ou ther", + "Ġw ent", + "form ation", + "Ġg iven", + "Ġs ite", + "Ġto tal", + "ol ic", + "g y", + "ir c", + "ĠSt reet", + "al t", + "Ġst ru", + "Ġe very", + "ĠF irst", + "Ġt urn", + "outher n", + "Ġcommun ity", + "y a", + "ĠF rom", + "ĠS ing", + "er ation", + "w est", + "oin ted", + "ĠSt ud", + "3 0", + "Ġjoin ed", + "ra p", + "om et", + "Ġv al", + "Ġeff ect", + "ĠH istor", + "it te", + "ĠK h", + "Ġra il", + "ot s", + "Ġpolit ical", + "Ġch ang", + "Ġwork ed", + "Ġwh at", + "Ġp res", + "Ġcon c", + "i j", + "Ġvari ous", + "ir on", + "Ġf re", + "Ġdevelop ment", + "ag o", + "ber t", + "ĠS en", + "ree k", + "ĠT own", + "Ġcon f", + "pos ed", + "s ite", + "ĠT rans", + "b or", + "ir l", + "Ġpro cess", + "m a", + "Ġ1 00", + "Ġt w", + "Ġv ideo", + "e al", + "Ġprofess ional", + "Ġele ct", + "her s", + "Ġf act", + "Ġm ilitary", + "ĠS l", + "ac hed", + "' t", + "ĠUn ion", + "Ġvers ion", + "at ic", + "olog ical", + "at ri", + "ĠGerman y", + "op e", + "re am", + "ĠGro up", + "Ġm uch", + "s elf", + "Ġpro te", + "Ġprodu ction", + "Ġh aving", + "Ġne xt", + "Ġcomm on", + "Ġb re", + "Ġcl aim", + "Ġbec ome", + "Ġspec ial", + "Ġg r", + "h old", + "ĠM art", + "Ġs ent", + "ĠH en", + "Ġm iss", + "Ġh ost", + "ĠB er", + "og n", + "Ġs w", + "ĠJ e", + "h ib", + "ĠV ir", + "ĠM ary", + "ĠM ag", + "Ġ198 0", + "ĠS er", + "ĠRo ad", + "o or", + "Ġus ing", + "ĠW e", + "Ġp ri", + "ĠBl ack", + "ĠAr ch", + "Ġ [", + "Ġdire ct", + "Ġreturn ed", + "ĠMe x", + "19 6", + "Ġw rote", + "Ġint ro", + "ĠP ri", + "Ġs it", + "Ġp resident", + "Ġpr im", + "m en", + "Ġt em", + "ĠItal ian", + "ĠM y", + "ĠJapan ese", + "Ġ199 9", + "est s", + "Ġ2 9", + "Ġg l", + "ĠAfric an", + "in ation", + "ĠT ur", + "Ġpos ition", + "Ġmat ch", + "h a", + "Ġan t", + "ict ion", + "ĠL aw", + "Ġdire ctor", + "i ography", + "m ing", + "ĠH all", + "oin ts", + "Ġteam s", + "Ġt ake", + "ĠW omen", + "Ġm ult", + "Ġch urch", + "Ġsong s", + "fl u", + "ĠThe se", + "Ġopen ed", + "Ġper forman", + "B C", + "ct s", + "il ar", + "ĠComm un", + "ĠW ash", + "ĠPro v", + "ivid ual", + "Ġf ew", + "Ġev ents", + "id a", + "Ġf un", + "ell ow", + "ĠG ames", + "Ġbe h", + "se qu", + "ĠS am", + "ĠRober t", + "arl iam", + "Ġv ol", + "ak en", + "ib r", + "itt le", + "ĠRuss ian", + "ĠLe g", + "an i", + "ent ion", + "e ad", + "ĠCh ina", + "oc rat", + "u le", + "ĠB est", + "l o", + "arliam ent", + "ar ian", + "g er", + "C A", + "ĠSc ott", + "2 1", + "Ġt imes", + "t ra", + "Ġst ory", + "Ġs ol", + "ĠO ther", + "ec ut", + "Ġpart icip", + "Ġw ay", + "Ġv oc", + "Ġfootball ers", + "y ing", + "ri an", + "Ġalbum s", + "ĠAcc ording", + "augh ter", + "Ġbe g", + "Ġh ig", + "ĠM ad", + "est ed", + "ĠC ap", + "ĠPl ay", + "un t", + "Ġf riend", + "Ġ199 8", + "ĠWash ington", + "it z", + "ĠC ourt", + "n ing", + "ic le", + "Ġatt ack", + "ket ball", + "ĠM iss", + "Ġro ad", + "stit ut", + "our ces", + "itte e", + "il es", + "an ies", + "Ġim p", + "Ġadm inist", + "ĠC ast", + "Ġpopul ar", + "Ġbro ther", + "Ġne ed", + "Ġwith out", + "ĠComp any", + "is l", + "ĠC ont", + "ĠThom as", + "at ter", + "Ġserv ices", + "ra g", + "an ces", + "a ur", + "Ġreg ion", + "end ing", + "Ġp ract", + "ĠS erv", + "Ġstud ents", + "idd le", + "Ġs k", + "Ġs ocial", + "od es", + "ĠC ath", + "Ġt er", + "ĠM en", + "ers hip", + "ĠS al", + "e x", + "wo od", + "ĠK n", + "a ign", + "Ġh alf", + "Ġbro ad", + "y ear", + "2 2", + "Ġg reat", + "Ġf ull", + "r ated", + "Ġcontin ued", + "Ġ197 0", + "Ġl ost", + "ĠA wards", + "ĠKing dom", + "ain ing", + "ĠCent ral", + "ĠS ociety", + "ac y", + "c raft", + "Ġco ach", + "y m", + "Ġm id", + "ĠM ont", + "ĠG rand", + "Ġal umni", + "ĠO p", + "us ed", + "Ġeduc ation", + "ra b", + "Ġrese arch", + "are nt", + "Ġ199 6", + "Ġatt empt", + "Ġs qu", + "Ġd ays", + "is ing", + "Ġh owever", + "ĠI r", + "b urg", + "Ġse e", + "ĠCh in", + "ens us", + "ĠRec ords", + "Ġprom ot", + "ap er", + "ĠM useum", + "4 0", + "Ġcomple ted", + "on a", + "Ġpro duc", + "Ġele cted", + "Ġapp ointed", + "ĠA lex", + "at ors", + "ĠChar les", + "ill s", + "ĠFl or", + "Ġcom b", + "ĠIs land", + "Ġinv est", + "Ġind ust", + "Ġin f", + "Ġ ident", + "est ival", + "in i", + "ĠD on", + "cent er", + "Ġpart y", + "ĠM et", + "Ġfound ed", + "Ġcont rol", + "Ġdire cted", + "ĠE duc", + "ĠCent er", + "Ġrecord ed", + "ĠTe x", + "Ġl im", + "Ġa ver", + "ific ation", + "u it", + "Ġr ight", + "ĠI m", + "r d", + "Ġ199 7", + "Ġsign ed", + "ĠE arly", + "Ġw ife", + "Ġe conom", + "ĠS ummer", + "amp le", + "l ess", + "Ġp oints", + "ber g", + "Ġpro per", + "Ġle ague", + "w h", + "as ons", + "Ġgroup s", + "Ġare as", + "2 3", + "Ġre view", + "Ġ18 5", + "Ġ /", + "ĠDe partment", + "Ġb ase", + "n el", + "Ġconsid ered", + "ish ing", + "ĠS im", + "Ġcon ne", + "Ġra ce", + "r ay", + "ĠAng el", + "ĠWest ern", + "Ġ202 3", + "ĠO ffic", + "Ġp oint", + "ĠJ ew", + "pl ay", + "Ġh on", + "ĠC he", + "Ġpart ic", + "Ġse le", + "at ural", + "ĠFran c", + "Ġre n", + "Ġf ind", + "Ġf urther", + "ĠV ict", + "j e", + "Ġm ar", + "= #", + "ĠT o", + "Ġc oll", + "ĠT V", + "Ġrel ations", + "ĠIn stitute", + "Ġc aus", + "ar ies", + "Ġv ict", + "ĠG old", + "ĠAcadem y", + "ĠLou is", + "ell s", + "Ġsim ilar", + "ĠOlymp ics", + "il i", + "Ġde g", + "ĠB ay", + "th let", + "Ġh old", + "ĠMich ael", + "Ġind ividual", + "way s", + "Ġto g", + "Ġre al", + "Ġpr iv", + "ĠG reat", + "Ġvi ew", + "ĠM ac", + "Ġweb site", + "Ġ z", + "id ence", + "ĠZ eal", + "Ġt en", + "ĠP ress", + "Ġtog ether", + "Ġ199 5", + "u ation", + "um p", + "Ġrele ase", + "ra in", + "ĠP at", + "ĠC ong", + "ĠZeal and", + "Ġ199 2", + "ric k", + "Ġin flu", + "ot a", + "ĠVir gin", + "ĠV ol", + "Ġreport ed", + "ĠChrist ian", + "Ġc ase", + "Ġappe ared", + "ĠM us", + "ĠRep ublic", + "ĠM er", + "ĠU K", + "et work", + "Ġ199 4", + "| |", + "ar ter", + "ar th", + "Ġs ports", + "Ġoff ice", + "ĠSp anish", + "ĠChin ese", + "Ġm other", + "ou l", + "ed eral", + "ĠAfric a", + "Ġtra ck", + "ĠK ore", + "m ar", + "Ġw eek", + "2 5", + "Ġ3 1", + "c ks", + "ĠT om", + "Ġ5 0", + "Ġm y", + "Ġk e", + "i que", + "Ġme et", + "Ġnov el", + "Ġcon d", + "Ġbir th", + "Ġdevelop ed", + "en c", + "Ġform ed", + "Ġin s", + "Ġh ous", + "it ive", + "y d", + "ak er", + "Ġ196 0", + "it ing", + "Ġmed al", + "ĠB ur", + "Ġhel p", + "Ġa ut", + "ĠCar ol", + "Ġgu itar", + "ad es", + "Ġla un", + "Ġass ist", + "ĠB en", + "Ġph ot", + "ĠIn ter", + "ĠT er", + "ul a", + "k n", + "ĠD an", + "ap t", + "Ġwork ing", + "e h", + "du ction", + "Ġd oc", + "Ġar r", + "Ġm aking", + "Ġimport ant", + "Ġto urn", + "c le", + "ĠG reen", + "i ers", + "Ġarch ite", + "ĠH am", + "ĠTex as", + "ail ed", + "ud e", + "re land", + "Ġart ist", + "Ġc ast", + "ĠWh ite", + "ĠP et", + "Ġgro w", + "ed y", + "Ġm unicip", + "Ġap pl", + "Ġg ood", + "im ately", + "it ted", + "ĠWh ile", + "ĠD el", + "Ġv ot", + "b and", + "ĠP ublic", + "Ġof fer", + "t a", + "id ing", + "ĠK e", + "ĠB as", + "c ial", + "ĠS ports", + "g o", + "Ġl ess", + "Ġtrad ition", + "Ġschool s", + "m on", + "ert ain", + "ic les", + "ĠMinist er", + "r as", + "ĠJ ose", + "Ġl ive", + "id ae", + "al a", + "ĠC ons", + "Ġd ata", + "ro ll", + "one y", + "it her", + "Ġph ys", + "Ġf und", + "Ġ199 3", + "ĠDem ocrat", + "Ġty p", + "Ġother s", + "ens ive", + "Ġh uman", + "Ġsh ould", + "Ġd aughter", + "ol a", + "ĠT or", + "ab ly", + "epend ent", + "at ives", + "Ġem ploy", + "Ġro ck", + "Ġd i", + "Ġgro und", + "ĠP eter", + "osp ital", + "Ġre v", + "ĠFran k", + "Ġrec ogn", + "Ġm ater", + "Ġhim self", + "Ġst ar", + "overn or", + "all s", + "v iron", + "Ġbuild ings", + "Ġde cl", + "Ġ =", + "re y", + "ĠCath olic", + "ĠM el", + "ĠS ong", + "ut y", + "ĠRich ard", + "le g", + "Ġr ul", + ") :", + "Ġac ross", + "az ine", + "Ġav ail", + "Ġf ire", + "Ġcomp anies", + "ĠS ur", + "g en", + "h i", + "ic ation", + "ĠSw ed", + "19 5", + "al y", + "ĠB ill", + "Ġb ody", + "p ite", + "s y", + "en a", + "ate g", + "ol f", + "Ġan im", + "ant ed", + "Ġcamp aign", + "Ġst ations", + "and ing", + "at re", + "Ġl anguage", + "sh ire", + "m ost", + "ri a", + "Ġe ight", + "19 4", + "um e", + "Ġdo es", + "ĠW il", + "b our", + "Ġaver age", + "ĠM ass", + "ĠL u", + "ĠU p", + "ĠF ore", + "Ġm ot", + "Ġ199 1", + "ce ed", + "Ġbl ack", + "Ġqu al", + "Ġex ist", + "Ġbec om", + "ĠPar is", + "ĠSec ond", + "Ġplay ing", + "ut es", + "ric ket", + "o ice", + "ra el", + "ĠL at", + "Ġt ro", + "g ress", + "Ġmod ern", + "Ġl ow", + "ĠHen ry", + "em or", + "Ġdef e", + "ĠSup er", + "ĠVict or", + "he ast", + "19 3", + "Ġh ow", + "ĠS ant", + "Ġepis ode", + "Ġ18 4", + "Ġp aint", + "st ro", + "Ġc le", + "Ġ et", + "ĠC ro", + "Ġgrad u", + "o res", + "S t", + "z il", + "Ġst age", + "Ġd ivision", + "Ġd ram", + "Ġex ample", + "Ġd er", + "ĠGeor g", + "Ġc ross", + "em ents", + "Ġ4 0", + "w rit", + "ud d", + "Ġr adio", + "ad a", + "Ġne ver", + "Ġl iving", + "air s", + "ĠD ire", + "Ġperform ed", + "h ood", + "Ġf oc", + "ĠL os", + "Ġfem ale", + "emb ly", + "ch ie", + "oc key", + "and id", + "Ġw inn", + "eth od", + "ĠH on", + "Ġl ight", + "ĠS ome", + "Ġse par", + "Ġart ists", + "Ġbel ie", + "ĠRe v", + "Ġf ree", + "ĠSm ith", + "Ġpolitic ian", + "Ġac qu", + "ĠP enn", + "Ġass oci", + "w are", + "ĠOr der", + "Ġf ight", + "t ime", + "ur a", + "ent ial", + "Ġcont ract", + "ov iet", + "2 4", + "ĠChampionship s", + "ĠL ake", + "ĠB ut", + "ibr ary", + "ough t", + "Ġstr ong", + "ign ed", + "Ġsuccess ful", + "Ġmon ths", + "ĠF C", + "Ġre d", + "Ġkill ed", + "at ory", + "im ate", + "Ġfin ished", + "ĠEduc ation", + "av al", + "Ġpl aces", + "id ents", + "Ġcon struction", + "ĠCh ic", + "he ad", + "pe ople", + "k ed", + "ĠI reland", + "ĠO l", + "Ġg ave", + "Ġestablish ments", + "Ġ198 8", + "ĠC amp", + "Ġm us", + "av es", + "ĠG o", + "Ġavail able", + "ĠDe f", + "Ġcon du", + "Ġa way", + "Ġgo al", + "Ġ198 9", + "v a", + "Ġperforman ce", + "if f", + "ell ing", + "ĠO b", + "ĠS aint", + "Ġt re", + "Ġal though", + "id s", + "ĠP an", + "as c", + "ish op", + "Ġpro t", + "Ġbo oks", + "ran ch", + "il ities", + "viron ment", + "it a", + "ĠS pec", + "Ġj ournal", + "an o", + "Ġin formation", + "Ġ ide", + "ĠD ay", + "ad o", + "inal s", + "z a", + "ic ated", + "ĠFilm s", + "he re", + "ĠOlymp ic", + "Ġd am", + "ĠC ur", + "Ġt aken", + "ĠV ill", + "ĠW in", + "ĠNot es", + "le ft", + "ell a", + "Ġcap t", + "it ch", + "i qu", + "ĠBra zil", + "ĠIs rael", + "ĠD u", + "ific ant", + "Ġshow s", + "Ġfollow ed", + ", \"", + "Ġr ank", + "o o", + "Ġag re", + "ĠR ob", + "ĠC areer", + "Ġto ur", + "ug by", + "Ġc ost", + "Ġm ix", + "ĠVirgin ia", + "Ġhe alth", + "Ġfr ont", + "Ġj ud", + "om a", + "ĠG overnment", + "Ġinclud es", + "Ġaward ed", + "Ġc irc", + "ut ch", + "Ġtourn ament", + "Ġc our", + "ĠM a", + "ĠL ife", + "ĠM in", + "\" |", + "Ġfeat ures", + "ig an", + "Ġ :", + "ĠJ ust", + "I I", + "Ġvi ol", + "Ġoriginal ly", + "Ġdesign ed", + "s erv", + "ĠT our", + "ĠAt l", + "Ġhouse hold", + "ĠH ill", + "ag ed", + "nd er", + "n y", + "i os", + "Ġac cess", + "Ġmater ial", + "ĠTe am", + "Ġse ven", + "se c", + "Ġs en", + "ve y", + "Ġc ourt", + "ĠE mp", + "e g", + "ĠC arl", + "ĠIt s", + "ĠM r", + "Ġim pro", + "Ġp ut", + "om s", + "Ġc ivil", + "Ġrel ig", + "2 6", + "Ġrem ained", + "ĠP erson", + "ĠHistor ic", + "Ġs ound", + "ĠAr ts", + "Ġs il", + "ist an", + "Ġstud y", + "Ġl ab", + "en ed", + "ĠG all", + "ĠR ock", + "Ġon ce", + "ĠG ra", + "2 7", + "Ġfeat ured", + "Ġin j", + "Ġd ou", + "ĠRail way", + "er ous", + "ar ia", + "ĠS qu", + "Ġfor ces", + "atri ate", + "Ġsc ored", + "ĠL and", + "ur ity", + "Ġc y", + "Ġ ill", + "om m", + "Ġt est", + "Ġ #", + "Ġp ress", + "ac hes", + "Ġ198 7", + "ol k", + "Ġb ar", + "ĠChic ago", + "2 8", + "he st", + "it es", + "Ġmark et", + "Ġbas ketball", + "ip le", + "Ġde v", + "Ġre b", + "Ġsing er", + "Ġsign ificant", + "ĠM o", + "ach ing", + "ap s", + "il ies", + "Ġpl an", + "end er", + "Ġex ecut", + "r or", + "ĠS oviet", + "ic ations", + "re l", + "Ġlead ing", + "Ġtra ining", + "em s", + "ĠSc ot", + "v in", + "Ġpol ice", + "Ġmed ia", + "ĠFor ce", + "Ġe arn", + "ver t", + "ĠS ub", + "y e", + "ic y", + "Ġ195 0", + "ĠM il", + "C h", + "Ġm ount", + "Ġlarg est", + "Ġr ights", + "ĠS ir", + "ear ch", + "ĠComm ission", + "augh t", + "ĠT wo", + "ĠItal y", + "m ier", + "A mer", + "ĠS o", + "ĠPro fess", + "Ġ198 6", + "our ce", + "Ġm ust", + "Ġair craft", + "Ġst ri", + "ĠM od", + "Ġmod el", + "ut er", + "ĠMex ico", + "Ġ198 4", + "Ġch art", + "Ġen c", + "y p", + "Ġs em", + "ĠCl ass", + "ĠI ll", + "Ġthrough out", + "ĠPol it", + "Ġl iter", + "ist ics", + "ĠP arliament", + "Ġg old", + "Ġtrans fer", + "Ġcons ist", + "v ing", + "ĠS ince", + "ĠMar k", + "Ġinvol ved", + "Ġc ou", + "ĠC at", + "Ġlist ed", + "Ġsub sequ", + "ord er", + "Ġst ated", + "ien ces", + "Ġwh ite", + "ĠO ff", + "ĠAn n", + "Ġw id", + "un k", + "Ġbo ard", + "s el", + "Ġintro duced", + "Ġrepl aced", + "ĠIr ish", + "Ġs ugg", + "ann el", + "Ġe arl", + "Ġse en", + "Ġcompet ition", + "Ġb i", + "Ġ18 3", + "un s", + "ĠE r", + "ĠProv ince", + "ĠFlor ida", + "Ġc andid", + "Ġd iv", + "if t", + "6 0", + "2 9", + "Ġtrans l", + "ĠN avy", + "ĠM ur", + "Ġ198 5", + "Ġwrit er", + "Ġevent ually", + "Ġpriv ate", + "Ġv ia", + "Ġresp ons", + "rib ution", + "ut ure", + "ĠTe chn", + "Ġcrit ic", + "Ġresult s", + "Ġent ire", + "u ff", + "Ġvoc als", + "c her", + "Ġab le", + "u z", + "um m", + "ĠD o", + "te xt", + "Ġr an", + "Ġadd ed", + "ret ary", + "ĠAl though", + "Ġc ollege", + "ĠD en", + "Ġpro ble", + "ĠO per", + "ĠComm ittee", + "ĠF estival", + "Ġfour th", + "ĠS il", + "o ch", + "Ġp ast", + "Ġcount ries", + "ĠF in", + "as k", + "ĠB us", + "ro ad", + "A S", + "el t", + "ĠW ales", + "c ript", + "Ġw ind", + "ĠAngel es", + "y r", + "ĠO ver", + "Ġcent ral", + "Ġst e", + "Ġact ress", + "m b", + "uf act", + "Ġsur v", + "as ing", + "ul arly", + "Ġa ud", + "Ġwrit ers", + "u a", + "ian o", + "Ġcomm and", + "Ġass ociation", + "Ġle ast", + "m in", + "Ġres pect", + "i res", + "ĠBro wn", + "ĠE v", + "Ġl oss", + "yl van", + "Amer ican", + "Ġsp ace", + "por ary", + "Ġs er", + "A R", + "ĠSc ience", + "ĠO ut", + "mer cial", + "8 0", + "ĠN orthern", + "Ġun its", + "ĠM ost", + "ab ility", + "f ic", + "ĠR h", + "Ġn omin", + "ĠF ound", + "ĠSt ar", + "ĠRuss ia", + "Ġm inist", + "Ġs ch", + "b b", + "ok e", + "ĠU k", + "ĠG od", + "r up", + "Ġdeg ree", + "i ro", + "ĠCong ress", + "ĠCarol ina", + "Ġst aff", + "Ġdisc over", + "Ġ198 3", + "Ġr ange", + "Ġst ates", + "ib l", + "ĠAr g", + "ri al", + "Ġcl ose", + "ĠR os", + "Ġdoc ument", + "ra w", + "ĠJ un", + "Ġbroad cast", + "n ow", + "Ġf ig", + "Ġab ove", + "pl es", + "Ġre ached", + "med i", + "g ian", + "l or", + "Ġc ensus", + "ĠServ ice", + "st e", + "ant ic", + "Ġpl ant", + "ĠCol umb", + "ĠL iber", + "ĠE s", + "ĠC r", + "Ġch ange", + "erv e", + "T V", + "Ġprov ided", + "ĠJose ph", + "ĠO h", + "Ġse asons", + "Ġt reat", + "Ġcurrent ly", + "oy s", + "Ġex hib", + "ĠO ld", + "i ents", + "b ur", + "rough t", + "Ġg et", + "Ġcont ribut", + "Ġexp ress", + "ylvan ia", + "l im", + "Ġp ur", + "Ġe ither", + "Ġf av", + "Ġ( \"", + "Ġch ampionship", + "r ative", + "ĠS a", + "f ace", + "Ġtra vel", + "or por", + "Ġac cept", + "Ġpl aced", + "u x", + "sy ch", + "Ġmiss ing", + "Ġup on", + "ĠF re", + "al ed", + "F A", + "Ġrail way", + ") ;", + "bo ard", + "ĠS eries", + "Ġs aw", + "ad ium", + "Ġinter est", + "st ant", + "ian a", + "Ġstru ct", + "ĠC am", + "F L", + "ĠP ac", + "ab it", + "ist ic", + "ip l", + "Ġ198 2", + "Ġcent er", + "Ġm ur", + "w ell", + "Ġk ey", + "Ġ !", + "Ġa ction", + "ĠAss embly", + "a ut", + "ĠF ort", + "ĠD ou", + "Ġocc ur", + "ed s", + "Ġty pe", + "ĠM os", + "cept ion", + "Ġp ot", + "ĠM ic", + "kn own", + "p ly", + "is es", + "Ġc op", + "ĠF urther", + "ĠF ollow", + "Ġn ight", + "Ġa chie", + "ig er", + "g l", + "ĠS k", + "Ġd u", + "ĠR am", + "Ġatt ended", + "Ġ197 9", + "stit ution", + "Ġle arn", + "ĠM ill", + "Ġcharact ers", + "ĠB re", + "l anguage", + "ĠB attle", + "ĠA rab", + "Ġse x", + "ubl ican", + "ay ing", + "ĠM at", + "az z", + "Ġcap ital", + "p ress", + "ĠP opul", + "et te", + "Ġme as", + "Ġdec ided", + "ĠM ain", + "ĠW ood", + "Ġf if", + "l am", + "i h", + "ĠM ajor", + "ĠT ro", + "ele b", + "Ġar g", + "Ġdec ision", + ". )", + "ult ural", + "Ġprevious ly", + "Ġdra w", + "ĠRes earch", + "eng th", + "ar ily", + "ĠEmp ire", + "ĠG reek", + "ĠF red", + "ult ure", + "c a", + "Ġst re", + "Ġde stro", + "Ġne igh", + "Ġ197 2", + "Ġlead er", + "Ġh om", + "d en", + "ĠDemocrat ic", + "g r", + "Ġappro x", + "am ily", + "Ġstud io", + "Ġse ction", + "er o", + "Ġus ually", + "Ġme an", + "ĠPenn s", + "Ġ197 6", + "or ing", + "Ġm ass", + "ĠS ol", + "Ġdefe ated", + "ĠOffic ial", + "ĠH a", + "Ġsing les", + "and a", + "Ġed ition", + "ĠMart in", + "u an", + "ĠD utch", + "Ġre ve", + "Ġocc up", + "ow ers", + "st ra", + "re me", + "ĠC le", + "ĠS un", + "p ing", + "ĠFollow ing", + "Ġkn ow", + "Ġg rand", + "Ġn atural", + "Ġinst ead", + "Ġeff ort", + "ĠMed al", + "ĠJ im", + "ĠScott ish", + "Ġp ain", + "Ġpo et", + "Ġact or", + "Ġr iver", + "ĠSp ain", + "ch an", + "Ġf arm", + "Ġp arent", + "Ġacc ount", + "il s", + "ig a", + "ĠS ocial", + "ĠPenns ylvania", + "Ġb ur", + "B A", + "or a", + "Ġsub ject", + "st r", + "c el", + "c ell", + "Ġ198 1", + "Ġw inning", + "Ġproduc er", + "ĠG ar", + "inc ip", + "ans as", + "ĠM embers", + "Ġinvest ig", + "Ġwh ose", + "ult y", + "ult s", + "Ġm ethod", + "ĠW al", + "um ents", + "Ġpl ann", + "Ġ197 8", + "ĠL ove", + "Ġpart s", + "ĠIn c", + "Ġact ive", + "Ġ197 4", + "Ġrepresent ed", + "in ent", + "ĠM ilitary", + "Ġmov ement", + "at o", + "Ġg e", + "ĠH ow", + "Ġprim ary", + "Ġprov ide", + "ĠAs ian", + "Ġfam ilies", + "Ġcult ure", + "Ġ196 8", + "ĠP ak", + "w an", + "Ġrelations hip", + "Ġplay s", + "9 0", + "ĠL ater", + "ĠF inal", + "b ased", + "Ġf ar", + "Ġp ark", + "ĠR adio", + "Ġsc ient", + "Ġorgan iz", + "pt ion", + "Ġpr ison", + "ĠJ ud", + "Ġde al", + "ĠLe e", + "Ġp red", + "Ġn orthern", + "Ġ194 0", + "Ġs outhern", + "Ġbeh ind", + "Ġp urch", + "ĠE p", + "pos ition", + "r ig", + "Ġt ax", + "ĠH ot", + "cl us", + "ĠT w", + "ar io", + "Ġ197 5", + "ug u", + "ĠC ross", + "l a", + "ĠI ran", + "ĠYou ng", + "ig ital", + "Ġmus ical", + "ĠBu ild", + "ad y", + "ens ion", + "Ġs ize", + "y er", + "ĠC ivil", + "ĠCh ief", + "Ġb ank", + "Ġl ik", + "7 0", + "omet imes", + "Ġ197 7", + "se e", + "ri e", + "Ġl ower", + "ĠB ul", + "ing u", + "ĠBo ard", + "w er", + "ĠB et", + ".. .", + "Ġgo als", + "isc o", + "ĠS ar", + "ĠSp ace", + "Ġb rought", + "ĠP ost", + "Ġread ing", + "Ġco ast", + "Ġnew sp", + "ĠB ig", + "ĠB ase", + "erg y", + "Ġout side", + "ĠL oc", + "Ġac adem", + "ĠH el", + "Ġs us", + "s k", + "ĠS outhern", + "ĠReg ister", + "\" )", + "n ot", + "Ġp ers", + "Ġcolle ction", + "Ġh ard", + "Ġorgan ization", + "im b", + "ar ing", + "Ġc ut", + "Ġ i", + "ĠC D", + "end s", + "ĠH aw", + "Ġr ather", + "all ed", + "ĠB ack", + "ers ey", + "Ġ197 3", + "Ġf all", + "m ark", + "Ġclos ed", + "a o", + "Ġindust ry", + "Ġrun s", + "Ġwrit ing", + "al i", + "Ġn etwork", + "Ġg irl", + "Ġend ed", + "N A", + "Ġc ricket", + "ĠJ ack", + "Ġman ufact", + "Ġc are", + "h an", + "Ġdram a", + "Ġk ing", + "ĠL uc", + "or se", + "Ġfor ce", + "Ġsh ot", + "ir m", + "Ġfootball er", + "Ġ193 0", + "ĠAd m", + "it an", + "Ġsystem s", + "anc ial", + "p an", + "at i", + "pec ially", + "he t", + "aw a", + "ĠO x", + "I D", + "ĠEd ward", + "ĠEng ine", + "ct ive", + "Ġh it", + "ĠL ong", + "Ġes c", + "ul ation", + "oun ter", + "Ġposs ible", + "Ġw ood", + "Ġim m", + "ĠVal ley", + "ĠR el", + "Ġreg ard", + "ĠU nder", + "ĠT ri", + "Ġ194 5", + "Ġmat ches", + "m ond", + "Ġallow ed", + "Ġstud ies", + "ĠV er", + "ĠU r", + "ĠS pr", + "ĠT imes", + "Ġne g", + "Ġal most", + "it ors", + "ĠRep ublican", + "Ġreg ular", + "Ġ196 9", + "ven ue", + "id er", + "Ġstru cture", + "Ġst op", + "in ary", + "Ġ197 1", + "Ġmag azine", + "ĠJew ish", + "em ic", + "ur b", + "Ġchang ed", + "Ġcomm ission", + "Ġfre qu", + "c ient", + "enn is", + "ĠTe levision", + "in ated", + "l ike", + "ĠJ ul", + "ent h", + "Ġc at", + "ĠB ob", + "back ground", + "ĠP o", + "ĠB ank", + "Ġd en", + "ĠMich igan", + "Ġis land", + "c ing", + "Ġpl at", + "Ġsett le", + "Ġsch ol", + "ĠD isc", + "Ġlaun ched", + "Ġb all", + "ĠM ah", + "Ġoper ations", + "it iz", + "ĠC amb", + "air man", + "ov ers", + "Ġw oman", + "ĠPl aces", + "velop ment", + "Ġbeg inning", + "ac ing", + "Ġperson al", + "ĠJ er", + "ĠO s", + "Ġter rit", + "k o", + "Ġto wards", + "3 5", + "on n", + "Ġte xt", + "i as", + "Ġtrans port", + "ĠMc C", + "Ġgen us", + "ĠA thlet", + "Ġown ed", + "Ġdet erm", + "Ġt aking", + "Ġn ar", + "Ġf ood", + "ĠOp en", + "Ġmanag er", + "et ts", + "Ġacc ording", + "e es", + "Ġ196 7", + "Ġc ases", + "ĠT im", + "Ġm er", + "ĠH ung", + "ĠHe alth", + "ip s", + "y an", + "Ġn ames", + "ak a", + "Ġind ependent", + "Ġcon stru", + "Ġwh om", + "Ġp ay", + "us band", + "ĠV i", + "ly ing", + "Ġ196 4", + "ol s", + "Ġsc ience", + "Ġf a", + "Ġrem ov", + "Ġoffic er", + "Ġc red", + "ĠPhil ipp", + "Ġ )", + "ĠOh io", + "ĠB h", + "Ġsc ore", + "st ate", + "ĠK ent", + "Ġapprox imately", + "ĠIn f", + "Ġmin or", + "Ġv eh", + "ĠT op", + "Ġob serv", + "ĠL ine", + "ĠF r", + "7 5", + "ĠUn ivers", + "Ġcomp let", + "Ġbre ak", + "ĠR ou", + "im a", + "ĠPol and", + "Ġfun ction", + "ib ility", + "ĠJ o", + "b ury", + "ino is", + "Ġe ver", + "Ġsc reen", + "b on", + "Ġconc ern", + "Ġsp ent", + "Ġar my", + "ĠG al", + "ĠArg ent", + "Ġaddition al", + "ct ing", + "g a", + "pe cted", + "Ġsqu ad", + "Ġ6 0", + "ĠD is", + "o id", + "Ġph il", + "ĠII I", + "ĠA re", + "o ir", + "Ġnot ed", + "in et", + "ĠScot land", + "ĠM ot", + "ĠG h", + "Ġs elf", + "Ġob ject", + "en ced", + "Ġcomple x", + "Ġbo x", + "ir a", + "Ġc eleb", + "amp ions", + "ĠT re", + "ach us", + "ĠL ord", + "if y", + "w w", + "Ġiss ues", + "Ġcount y", + "ĠPol ish", + "Ġ19 20", + "os h", + "il ed", + "Ġch ief", + "ĠB or", + "en ces", + "Ġsen ior", + "es h", + "k ing", + "ĠQue en", + "Ġc he", + "Ġmon th", + "Ġb attle", + ": #", + "Ġcom mercial", + "ost on", + "Ġl ived", + "Ġs ummer", + "Ġele ctions", + "4 5", + "Ġits elf", + "Ġd ate", + "Ġmult iple", + "Ġrel ated", + "uf fer", + "ĠPac ific", + "Ġs at", + "read y", + "Ġpolitic ians", + "Ġfoc us", + "Ġhig hest", + "Ġro ute", + "ĠNew s", + "Ġso on", + "ĠM att", + "ĠJ r", + "ĠIll inois", + "Ġtradition al", + "d own", + "Ġto o", + "Ġl ittle", + "Ġf uture", + "Ġle t", + "Ġqu est", + "Ġes pecially", + "ĠDire ctor", + "Ġhig her", + "Ġopen ing", + "ay a", + "ard en", + "Ġsup er", + "Ġlo ok", + "ĠE nd", + "Ġ196 5", + "um s", + "Ġm oney", + "Ġc al", + "ac her", + "ĠO k", + "ĠBrit ain", + "Ġrequ ired", + "ĠRep resent", + "achus etts", + "f ect", + "Ġinter view", + "Ġun ion", + "ĠCon ference", + "ĠD i", + "ĠJ ersey", + "Ġ196 6", + "bur gh", + "em porary", + "ĠS and", + "ĠGeorg ia", + "Ġen vironment", + "r ich", + "ad or", + "Ġed itor", + "ct ic", + "ob al", + "Ġcont ains", + "Ġappear ance", + "ĠC y", + "ĠAs ia", + "Ġbel ow", + "Ġ18 0", + "k ins", + "Ġproper ty", + "Ġpri or", + "ĠG overnor", + "ĠA z", + "19 0", + "ĠC olle", + "ĠL ab", + "ĠMass achusetts", + "Ġvict ory", + "h ouse", + "Ġme ans", + "Ġsele cted", + "Ġent ered", + "ch ange", + "on se", + "ĠB oston", + "ĠF er", + "Ġstud ied", + "d s", + "Ġpro f", + "ig r", + "p ut", + "Ġh usband", + "ĠL o", + "ĠBo ok", + "Ġpract ice", + "ĠEast ern", + "S A", + "Ġe mer", + "Ġsur round", + "Ġloc ation", + "al ys", + "st anding", + "Ġex am", + "ut en", + "Ġassoci ated", + "emor ial", + "ĠTh at", + "Ġun it", + "ĠC O", + "ĠJ ournal", + "vent ion", + "Ġm ission", + "Ġstruct ures", + "Ġb ass", + "Ġr ad", + "ĠHe ad", + "Ġmur der", + "Ġtr ade", + "j a", + "Ġ3 5", + "Ġd on", + "w a", + "Ġprofess or", + "ĠL ibrary", + "ĠColumb ia", + "ĠB ang", + "Ġc ertain", + "Ġcent re", + "ĠJ ac", + "Ġstand ard", + "Ġship s", + "ĠG re", + "F C", + "Ġret ired", + "op er", + "Ġse at", + "Ġad op", + "Ġearl ier", + "ĠPr ince", + "Ġar ran", + "Ġ ens", + "3 3", + "i i", + "Ġrun ning", + "Ġmanag ement", + "ĠM ore", + "Ġ er", + "Ġbecom ing", + "Ġd om", + "ĠJe an", + "Ġde partment", + "ĠG ame", + "w ith", + "ĠF ield", + "Ġstud ent", + "ry ing", + "Ġ194 4", + "ĠM P", + "Ġactiv ities", + "t ained", + "Ġso ft", + "Ġt rib", + "ĠThe atre", + "ĠJ ones", + "Ġclub s", + "Ġcom e", + "ĠWilliam s", + "Ġl ength", + "an ks", + "Ġem b", + "Ġmunicip ality", + "il a", + "Ġleg al", + "and ed", + "i y", + "al le", + "Ġcoll abor", + "ĠSt an", + "ail s", + "ig g", + "ĠDe velopment", + "Ġmed ical", + "Ġact ors", + "Ġs uffer", + "Ġcom edy", + "arri age", + "in em", + "N E", + "ĠM iddle", + "gy pt", + "ian ce", + "Ġleg isl", + "Ġinit ially", + "om y", + "ĠW eb", + "Ġqu arter", + "Ġcaus ed", + "9 9", + "ĠM any", + "Ġal ready", + "ad el", + "Ġs ometimes", + "Ġp ie", + "s en", + "b re", + "ĠS oc", + "Ġp en", + "Ġth us", + "Ġtra in", + "ĠCo ast", + "ĠFranc isco", + "ĠE conom", + "ĠV an", + "Ġdestro y", + "Ġmov e", + "Ġoper ated", + "et ic", + "ĠI f", + "Ġfeat ure", + "ĠB ow", + "ĠH ong", + "Ġgeneral ly", + "ĠSt ep", + "ĠK ong", + "Ġar rest", + "Ġfore st", + "Ġincre ased", + "Ġequ ip", + "ĠD et", + "ĠS at", + "Ġold er", + "Ġh ockey", + "Ġl ove", + "ĠK ar", + "ĠW ater", + "ant ry", + "Ġcour se", + "Ġw ide", + "ĠOr gan", + "tra ck", + "Ġwest ern", + "ĠM u", + "ĠW ind", + "sp an", + "Ġnum erous", + "ĠAl bert", + "am m", + "ĠBl ue", + "Ġcon v", + "Ġus es", + "Ġcompet ed", + "n o", + "Ġc ouncil", + "Ġnew s", + "Ġra p", + "ĠMan ag", + "Ġg ra", + "Ġann ual", + "Ġdif fic", + "a res", + "ee ks", + "Ġs af", + "ĠF ed", + "is ation", + "ĠJohn son", + "ĠP res", + "Ġ196 3", + "Ġchang es", + "ĠCons erv", + "and s", + "k en", + "Ġv ir", + "ĠE ll", + "ĠD ie", + "ĠM id", + "ĠCh ild", + "on ia", + "ĠPerson al", + "ĠSy stem", + "el a", + "Ġmajor ity", + "og rap", + "Ġs u", + "ĠDe ath", + "ill a", + "Ġterm s", + "Ġserv ing", + "ĠB C", + "ĠCent re", + "ri ef", + "Ġiss ue", + "ul pt", + "Ġf ederal", + "ĠA k", + "att al", + "stit u", + "Ġab s", + "ĠB iography", + "Ġant i", + "ad d", + "Ġind ic", + "ple ment", + "Ġperson nel", + "Ġbet ter", + "Ġcol on", + "Ġun iversity", + "ab eth", + "ĠBro ad", + "Ġ196 2", + "ul f", + "Ġth reat", + "ĠSer b", + "el le", + "Ġrelig ious", + "ĠA ri", + "Ġse a", + "p re", + "Ġc ust", + "Ġs ister", + "ĠT ime", + "ĠE gypt", + "I n", + "ĠB al", + "Ġke ep", + "it ation", + "ĠOx ford", + "ak h", + "ĠB ir", + "ĠSt ation", + "ĠT em", + "Ġpro b", + "ĠG ood", + "ĠTrans port", + "ĠOff ice", + "A C", + "ĠIn t", + "ĠW rit", + "Ġd rop", + "Ġlin es", + "ĠS pe", + "Ġpass ed", + "ĠH ome", + "ĠT am", + "as y", + "ĠAd am", + "Ġd ed", + "ĠSpec ial", + "Ġl ack", + "ĠIs lam", + "ĠW ild", + "Ġacc om", + "che n", + "ĠAlex ander", + "ĠL ittle", + "ĠTra ck", + "t ies", + "ĠComm on", + "Ġh ot", + "Ġexp atriate", + "Ġthough t", + "Ġor d", + "ĠSwed ish", + "man n", + "art ers", + "Ġoffic ers", + "ĠF our", + "ie uten", + "ĠL y", + "ir it", + "is her", + "ce an", + "Ġrecord ing", + "Ġclaim ed", + "Ġh um", + "Ġfor ced", + "ur ban", + "ĠU l", + "Ġprogram s", + "9 5", + "ĠM ax", + "Ġeconom ic", + "Ġstat us", + "Ġdisc uss", + "Ġ4 5", + "ĠK en", + "w ar", + "ĠFound ation", + "Ġn ine", + "Ġinst r", + "Ġlim ited", + "un n", + "orpor ated", + "; \"", + "Ġm useum", + "a ction", + "Ġsupport ed", + "it age", + "Ġim medi", + "ĠB ern", + "Ġ194 2", + "Ġmin utes", + "ĠSen ate", + "Ġcomple te", + "Ġp il", + "acks on", + "ub e", + "Ġcre ate", + "b l", + "Ġgen er", + "ĠCor ps", + "Ġover all", + "Ġh ours", + "Ġsubsequ ently", + "h ire", + "Ġsh oot", + "Ġpresent ed", + "Ġb ene", + "8 8", + "Ġmeet ing", + "ĠThe ir", + "ph y", + "ĠEn ter", + "ĠLat in", + "Ġrem ains", + "ĠF ar", + "ĠGall ery", + "ĠC ard", + "ĠR ay", + "Ġ194 8", + "ro wn", + "Ġ ice", + "ing er", + "ĠAd d", + "ig inal", + "ĠAnd rew", + "Ġdes cent", + "Ġra ised", + "uc le", + "Ġearn ed", + "Ġin stitut", + "v is", + "Ġl ic", + "Ġocc as", + "ĠB ibl", + "A T", + "Ġbel ong", + "ct ors", + "Ġev idence", + "n am", + "Ġcommun ities", + "ĠA sh", + "Ġch all", + "ĠVictor ia", + "Ġgo ing", + "Ġ194 3", + "ĠO f", + "ĠF I", + "3 6", + "iz ing", + "Ġplat form", + "Ġmost ly", + "un a", + "ap ers", + "Ġ195 6", + "Ġj ob", + "ĠC reek", + "is k", + "Ġ196 1", + "ĠSe a", + "Ġhistor ical", + "u ge", + "um ber", + "Ġw eeks", + "Ġal tern", + "m i", + "Ġf le", + "Ġappear ances", + "ĠEl iz", + "Ġse qu", + "w ide", + "at ers", + "ĠSy d", + "ĠBer lin", + "ail y", + "Ġ6 5", + "ĠM inn", + "ur t", + "ĠDe v", + "Ġresp onse", + "ĠS und", + "ĠCor por", + "ĠT y", + "Ġg ive", + "4 7", + "Ġs om", + "ĠJ ackson", + "A F", + "ze ch", + "ieuten ant", + "Ġper cent", + "ĠC orn", + "ĠKore an", + "Ġpro p", + "Ġb ound", + "Ġsh own", + "Ġar m", + "ĠC op", + "Ġin sp", + "w in", + "im s", + "Ġcon cept", + "Ġ195 8", + "ir ing", + "Ġo pt", + "B S", + "Ġreg ional", + "ĠDan iel", + "Ġpartic ularly", + "Ġinc ome", + "g u", + "ĠAl bum", + "ĠW eek", + "Ġacqu ired", + "Ġparent s", + "Ġfore ign", + "ĠR aj", + "Ġb omb", + "ĠSec retary", + "ĠEle ct", + "ĠIs lands", + "Ġm ention", + "Ġpol icy", + "Ġy outh", + "ĠN ight", + "im um", + "ont o", + "Ġc ell", + "alys is", + "Ġ195 9", + "ste in", + "Ġm iddle", + "enc ies", + "3 8", + "che ster", + "Ġdis e", + "re m", + "Ġrecord s", + "ent y", + "ĠPol ice", + "Ġin n", + "Ġt akes", + "os oph", + "4 8", + "Ġlong er", + "ĠB BC", + "Ġl os", + "Ġg ot", + "Ġhel ped", + "ell ed", + "Ġpartic ular", + "Ġf ailed", + "ri ed", + "Ġappe ars", + "ĠG irl", + "Ġ ver", + "Ġpromot ed", + "ĠDes pite", + "Ġa wards", + "on ic", + "Ġpr incip", + "Ġst ep", + "Ġ194 6", + "ĠTh ree", + "ent al", + "st one", + "Ġfam ous", + "Ġbl ock", + "ĠKore a", + "Ġrem ain", + "out heast", + "Ġthe ory", + "ĠR od", + "olog ist", + "Ġin te", + "ag n", + "Ġv ote", + "Ġfin ancial", + "Ġorganiz ations", + "ak ers", + "Ġle aving", + "ĠAt t", + "Ġtra cks", + "ĠM ov", + "ĠR og", + "Ġeast ern", + "o z", + "led ge", + "Ġg overn", + "Ġbase ball", + "ĠB i", + "Ġp sych", + "Ġ194 1", + "Ġm em", + "ĠW ork", + "Ġtechn ology", + "Ġ3 2", + "Ġen ergy", + "v ement", + "cl ass", + "om er", + "Ġsc hed", + "Ġv on", + "if ying", + "Ġm ach", + "y o", + "Ġcompos ed", + "ron ze", + "Ġh app", + "4 6", + "Ġrefer red", + "b ers", + "ĠW all", + "ĠT ax", + "ĠReg iment", + "Ġspec ific", + "Ġcre w", + "ĠSyd ney", + "ĠF amily", + "3 7", + "Ġqu ick", + "em et", + "ĠH ospital", + "Ġincre ase", + "c ul", + "ĠM unicip", + "ĠK enn", + "Ġc itiz", + "Ġbelie ved", + "Ġrem aining", + "Ġw ord", + "ĠC oll", + "ĠSh ow", + "Ġprov ince", + "Ġc ateg", + "Ġlarg er", + "ĠJ oe", + "Ġhous es", + "ĠCh arl", + "rop ol", + "ĠV iet", + "ĠC zech", + "te en", + "Ġh ospital", + "v est", + "c an", + "Ġc arried", + "ĠO tt", + "ĠL im", + "Ġ eth", + "T h", + "ĠV en", + "ric e", + "il ly", + "ou ri", + "ĠBus iness", + "Ġam ount", + "Ġl atter", + "ĠH y", + "ĠW ay", + "Ġtro ops", + "ĠF ederal", + "th ur", + "istric ts", + "Ġ195 7", + "Ġd iss", + "Ġ193 9", + "C C", + "Ġ( ),", + "ĠAr m", + "Ġstart ing", + "ĠTur k", + "Ġarchite ct", + "ov a", + "ĠP en", + "9 6", + "Ġ194 7", + "sel ves", + "ment ary", + "im ated", + "Ġthem selves", + "Ġl ay", + "Ġb rand", + "ĠQue ens", + "ĠD er", + "Ġt arg", + "l av", + "rup t", + "Ġpro posed", + "Ġch arg", + "Ġn orm", + "9 8", + "Ġfor t", + "ut s", + "Ġro om", + "Ġb ring", + "Ġepis odes", + "Ġn ative", + "ĠR et", + "Ġc er", + "Ġ195 2", + "Ġr ate", + "ĠFor m", + "ĠB oth", + "ĠO nt", + "Ġindividual s", + "ĠW orks", + "ĠB and", + "eng er", + "Ġgradu ated", + "Ġassist ant", + "Ġ3 6", + "m ore", + "e ch", + "ut t", + "ur ies", + "Ġp ra", + "Ġl og", + "ĠB ab", + "Ġwinn er", + "Ġform s", + "Ġcult ural", + "p ose", + "Ġde part", + "ĠPri ze", + "Ġ195 5", + "Ġc ities", + "itt ing", + "Ġsur face", + "Ġc hem", + "he w", + "ĠPr ime", + "j i", + "Ġoffer ed", + "ĠE arth", + "ĠJ on", + "Ġv en", + "a is", + "Ġdel iver", + "ph ia", + "ĠCol or", + "Ġm erg", + "er b", + "Ġhe avy", + "ĠB oy", + "ĠTown ship", + "ĠT ay", + "ous ly", + "ĠT od", + "es ota", + "Ġexecut ive", + "Ġon line", + "ed d", + "9 7", + "Ġs pl", + "Ġpre vent", + "ĠJe ff", + "ĠBo oks", + "Ġm arriage", + "Ġmean ing", + "ĠPre mier", + "angu ages", + "A r", + "Ġad j", + "/ /", + "Ġt able", + "enn es", + "ĠL es", + "ĠRou te", + "Ġnewsp aper", + "ĠN ether", + "ĠM ir", + "ĠMinist ry", + "Ġsepar ate", + "Ġs ociety", + "Ġd yn", + "vers e", + "Ġcons ists", + "ound s", + "ell ig", + "ĠS em", + "ĠD ist", + "Ġfif th", + "c i", + "ion e", + "ĠNot able", + "per or", + "ĠEliz abeth", + "ou ra", + "Ġb ridge", + "ĠJ es", + "ĠB ell", + "Ġpe ak", + "ĠE st", + "ic ted", + "ĠAnt on", + "I S", + "Ġto day", + "ĠMinn esota", + "ro vers", + "Ġsuc ceed", + "Ġ ess", + "ĠB ol", + "adel phia", + "Ġexper ience", + "ĠBase ball", + "ran e", + "Ġf ail", + "Ġserv e", + "f it", + "ĠP ubl", + "Ġcond itions", + "Ġvari ety", + "ĠJust ice", + "Ġcomp l", + "Ġb rief", + "it ude", + "Ġf oot", + "h y", + "ĠTor onto", + "Ġlab el", + "Ġtransfer red", + "k er", + "u ated", + "3 4", + "Ġtem per", + "ess ion", + "Ġcandid ate", + "Ġb order", + "m as", + "Ġs ource", + "ĠH uman", + "ron ic", + "ic ine", + "ĠOnt ario", + "Ġhousehold s", + "res p", + "Ġpart n", + "ran ce", + "Ġmain ly", + "Ġmov ie", + "al og", + "ĠSqu ad", + "ĠSup reme", + "Ġalong side", + "ĠH ind", + "ĠA ut", + "z y", + "ĠM ike", + "Ġdes pite", + ": //", + "ĠCh ap", + "Ġsc ulpt", + "Ġrequ ire", + "ĠL em", + "in ct", + "Ġal ways", + "ĠS om", + "a ult", + "ĠReg ion", + "ĠB ad", + "ĠB orn", + "ĠL ew", + "ĠL ight", + "ĠN ations", + "ĠT ok", + "ĠB a", + "ĠSong s", + "ric s", + "Ġpart ies", + "we ight", + "e v", + "Ġ194 9", + "Ġ195 4", + "u ing", + "Ġoper ation", + "Ġiss ued", + "Ġdou ble", + "ic ks", + "ĠPro gram", + "Ġ( ,", + "ĠI d", + "an th", + "ĠW el", + "attal ion", + "Ġpo or", + "b it", + "n es", + "3 1", + "ĠAn other", + "Ġext ended", + "sec ut", + "Ġb r", + "Ġdem on", + "ort heast", + "Ġme chan", + "ĠAn th", + "Ġpl ans", + "Ġf ace", + "ĠD un", + "Ġprov ides", + "ĠC E", + "ĠA ff", + "Ġsold iers", + "Ġm akes", + "Ġart icle", + "Ġturn ed", + "Ġinflu ence", + "R A", + "Ġ8 0", + "Ġdef eat", + "Ġrespons ible", + "Ġsil ver", + "bour ne", + "Ġd one", + "Ġro w", + "Ġj un", + "Ġs n", + "ĠHar ris", + "Ġ195 3", + "ĠA h", + "Ġarr ived", + "ra ine", + "ĠStep hen", + "er land", + "ill ed", + "Ġfeat uring", + "ĠB rad", + "Ġh ar", + "ĠMex ican", + "Ġdiffic ult", + "ĠPhil adelphia", + "w orth", + "ĠSt adium", + "Ġr ugby", + "che stra", + "os a", + "Ġst ories", + "Ġnear by", + "8 5", + "Ġm aster", + "Ġspe ed", + "ons in", + "Ġun ivers", + "Ġex cept", + "Ġa thlet", + "pt on", + "ĠSt at", + "ĠAir port", + "ĠA v", + "Ġcap ac", + "ĠCh art", + "l ers", + "Ġc orn", + "Ġhon or", + "ĠPak istan", + "om ot", + "isc onsin", + "ĠT ai", + "av en", + "ri f", + "writ er", + "b ass", + "ĠSant a", + "ĠNether lands", + "Ġparticip ated", + "Ġo il", + "ag on", + "Ġres idents", + "at ively", + "ĠC rit", + "Ġ7 0", + "Ġs aying", + "m ission", + "Ġwinn ers", + "av a", + "Ġmanag ed", + "Ġst ay", + "Ġf ellow", + "e ction", + "Ġadminist rative", + "ĠK ir", + "ĠD am", + "l ight", + "ob ile", + "Ġelect ric", + "p on", + "Ġorig in", + "b a", + "Ġcon stitu", + "ĠMed ia", + "Ġdiscover ed", + "Ġm ight", + "um ed", + "und red", + "Ġcover ed", + "rop ical", + "ĠRev olution", + "ĠProfess or", + "ĠBr ig", + "Ġren amed", + "Ġs urn", + "n s", + "or g", + "ĠInd ones", + "Ġback ground", + "Ġmunicip al", + "8 6", + "ĠW isconsin", + "Ġlik ely", + "ĠH o", + "Ġcont ra", + "d is", + "ĠCh ris", + "Ġin h", + "ĠA venue", + "Ġrec ent", + "ĠGu ard", + "Ġmusic ians", + "ĠPe ak", + "ĠR ome", + "Ġ195 1", + "Ġpar ish", + "4 4", + "Ġele ments", + "ĠC ub", + "Ġto ld", + "ig en", + "ran ge", + "qu arters", + "ac hel", + "Ġv an", + "an cy", + "Ġas ked", + "Ġg un", + "Ġ +", + "igh ter", + "Ġconstru cted", + "Ġcon fl", + "ĠPr im", + "Ġproble ms", + "ĠTechn ology", + "ĠK im", + "Ġ ult", + "Ġfinal ly", + "ow a", + "7 6", + "ĠS us", + "Ġhe art", + "ĠS her", + "Ġle ave", + "Ġo ur", + "oc ks", + "est abl", + "Ġn ature", + "emet ery", + "Ġneigh bor", + "ir med", + "ĠP ers", + "ke e", + "Ġpro gress", + "Ġprodu cts", + "ĠMus lim", + "ĠCamb ridge", + "ĠL i", + "Ġth r", + "Ġp ick", + "ctor al", + "we gian", + "Ġhe re", + "or ation", + "ĠInd ust", + "ot o", + "Ġimp act", + "Ġnear ly", + "ĠFore st", + "Ġdr ug", + "Ġp aper", + "ĠDu ke", + "ĠB ishop", + "Ġc ause", + "5 5", + "Ġp age", + "Ġen ough", + "Ġp ath", + "g ing", + "Ġw anted", + "ĠL ady", + "Ġsub s", + "m et", + "Ġde ad", + "am ber", + "Ġmedal ists", + "w ick", + "ĠSl ov", + "per ial", + "ĠLeg isl", + "r im", + "Ġreve aled", + "ap ed", + "Ġarchite cture", + "ĠEx p", + "ĠP u", + "Ġra ces", + "ric t", + "ĠC a", + "Ġne cess", + "Ġch ampion", + "Ġsec urity", + "n ic", + "s s", + "ĠCommun ity", + "ist ance", + "Ġdirect ly", + "ens ity", + "Ġsol o", + "ĠSt r", + "g et", + "Ġv oice", + "ĠWil son", + "3 2", + "Ġp it", + "epend ence", + "ins on", + "ĠPro ject", + "Ġadd ress", + "Ġsus p", + "ĠS ab", + "ĠP ower", + "orn ing", + "ĠAdm inist", + "Ġl ives", + "Ġan cient", + "Ġlead ers", + "Ġ193 6", + "Ġminist er", + "ĠCorpor ation", + "Ġoffic ially", + "Ġincre asing", + "Ġcy cl", + "Ġproject s", + "ĠCol on", + "ĠMed ical", + "ĠMar g", + "L e", + "l iving", + "Ġdis play", + "Ġprim arily", + "Ġr ural", + "ad ing", + "ĠBar b", + "Ġadminist ration", + "en ge", + "9 4", + "van ced", + "ou d", + "Ġcondu cted", + "Ġinit i", + "Ġfriend s", + "Ġlevel s", + "ĠH ay", + "ang a", + "roll ed", + "Ġpos itive", + "en ing", + "Ġs port", + "Ġmount ain", + "ens is", + "e cted", + "ĠD ar", + "ĠNor wegian", + "Ġc ard", + "ĠSwed en", + "S S", + "ĠF air", + "Ġch ap", + "ĠI ra", + "in ity", + "Ġl y", + "i at", + "ĠM oh", + "ĠF ire", + "ĠL t", + "Ġinit ial", + "yd ro", + "ĠV ideo", + "ĠSh ort", + "ul ly", + "Ġacadem ic", + "ĠIndian a", + "ĠGold en", + "uc ky", + "Ġp an", + "ĠF le", + "Ġ9 0", + "e en", + "Ġp p", + "ĠMount ain", + "ĠW inn", + "Ġf irm", + "ĠM un", + "ak i", + "Ġch annel", + "Ġdis p", + "ĠBibl iography", + "Ġs ources", + "Ġrepl ace", + "bo ok", + "ĠWin ter", + "Ġwho le", + "ĠAr thur", + "Ġlist ing", + "Ġwork ers", + "Ġ193 8", + "ĠSc iences", + "Ġlet ter", + "cript ion", + "Ġnum bers", + "ĠR ad", + "ribut ed", + "ĠN iger", + "Ġconsid er", + "ĠAl f", + "ĠPl ace", + "Ġm ic", + "Ġval ue", + "ĠDes ign", + "ĠRe view", + "ĠB udd", + "Ġde ep", + "ĠS u", + "L A", + "Ġlaw s", + "ur ches", + "ĠH u", + "em y", + "ed om", + "ĠK ansas", + "ant a", + "ĠAl so", + "Ġliter ature", + "Ġwhe ther", + "Ġremov ed", + "th ing", + "ĠL ive", + "Ġ19 18", + "g al", + "he im", + "Ġs al", + "ĠMar ia", + "Ġwith d", + "A l", + "Ġded icated", + "el d", + "i est", + "ĠGe ography", + "ĠCap tain", + "ĠU s", + "port un", + "ert o", + "ĠDe p", + "Ġsy n", + "Ġg rew", + "ony m", + "Ġd omin", + "Ġw ords", + "ĠBar on", + "F F", + "Ġplann ed", + "ĠPopul ated", + "ĠPolit ical", + "r ical", + "Ġst ars", + "ĠJun ior", + "ĠRes ults", + "7 8", + "Ġnot able", + "Ġeffect s", + "ĠUS A", + "Ġsh are", + "je cted", + "ĠU t", + "Ġk ind", + "it ter", + "e z", + "ic ed", + "Ġr ule", + "ĠMiss ouri", + "p resent", + "Ġd ark", + "E C", + "Ġcomp uter", + "Ġp iano", + "Ġorder ed", + "ĠTay lor", + "Ġreg ist", + "Ġsettle ment", + "ath an", + "ĠM aster", 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"p ed", + "Ġe arly", + "Ġa ir", + "ĠB ar", + "Ġcont in", + "Ġ '", + "Ġto wn", + "Ġcomp et", + "Ġcl ub", + "ĠE l", + "Ġm in", + "Ġres ult", + "h am", + "ib le", + "1 2", + "ĠA nd", + "ĠH ar", + "ĠH istory", + "is ed", + "al ly", + "Ġs ince", + "ic es", + "ain s", + "st er", + "19 9", + "ĠThe y", + "ĠP art", + "b o", + "r ing", + "Ġn ear", + "ang u", + "Ġn amed", + "Ġorig inal", + "end ed", + "u ed", + "ĠCh rist", + "at a", + "Ġhe ad", + "ĠA b", + "1 6", + "Ġb el", + "Ġdis c", + "Ġpl ace", + "ĠF rench", + "id ed", + "i ence", + "Ġ201 1", + "ĠRe p", + "Ġc ur", + "Ġbe gan", + "il le", + "Ġt it", + "Ġus e", + "iv al", + "an e", + "re en", + "Ġpro gram", + "ĠU S", + "Ġv ill", + "Ġm ember", + "Ġm embers", + "1 5", + "Ġp rom", + "Ġhe ld", + "Ġan y", + "Ġl and", + "ĠCom p", + "Ġb ased", + "ain t", + "ĠR es", + "ĠM c", + "Ġthe se", + "Ġcomp le", + "b le", + "Ġap p", + "m e", + "Ġsup port", + "oun c", + "ĠAf ric", + "al ity", + "Ġg overnment", + "r ight", + "Ġ200 8", + "ĠR uss", + "Ġm et", + "Ġ201 2", + "Ġw e", + "ĠR o", + "a ugh", + "Ġ19 0", + "ĠA ir", + "Ġestabl ished", + "i ous", + "Ġal ong", + "Ġe ff", + "t he", + "Ġ ,", + "ĠE ast", + "ĠCh ampionship", + "Ġdesc rib", + "T he", + "in ess", + "Ġen g", + "ition s", + "ĠC ollege", + "Ġp ass", + "ĠWill iam", + "ĠG en", + "an a", + "od e", + ". .", + "Ġd ist", + "pe ct", + "al th", + "ad em", + "Ġ200 9", + "Ġloc ated", + "ur g", + "u k", + "ĠThe re", + "at or", + "ical ly", + "ĠH er", + "or m", + "ac ed", + "Ġd id", + "Ġl aw", + "in o", + "Ġc ol", + "Ġo cc", + "Ġchar act", + "che s", + "f ord", + "ĠAr t", + "c ol", + "at s", + "i en", + "ubl ic", + "ĠP eople", + "Ġp os", + "Ġy ou", + "Ġ201 3", + "ond on", + "ĠN e", + "oci ation", + "ĠIt al", + "Ġ200 6", + "Ġ200 7", + "Ġh ouse", + "Ġe ach", + "t o", + "ĠH igh", + "ing ton", + "ore d", + "Ġ201 4", + "ro w", + "Ġ201 6", + "Ġserv ed", + "our t", + "ĠF ilm", + "Ġto ok", + "qu e", + "Ġs im", + "k y", + "Ġ X", + "1 4", + "ĠRe c", + "Ġb and", + "Ġt r", + "Ġst ation", + "Ġh ome", + "ĠD istrict", + "Ġb us", + "av ing", + "ĠS y", + "ĠIn ternational", + "Ġb orn", + "Ġg ames", + "Ġn ational", + "m ed", + "ly mp", + "i et", + "ĠA c", + "Ġin st", + "Ġ201 5", + "re w", + "er g", + "Ġpro fess", + "in ed", + "Ġ201 8", + "ight s", + "p s", + "Ġcomp any", + "Ġl ine", + "Ġp erson", + "1 3", + "ĠO lymp", + "Ġpopul ation", + "Ġm ajor", + "Ġ18 9", + "ac es", + "our n", + "Ġ20 20", + "ĠD av", + "ill ion", + "ĠL iving", + "ĠL ondon", + "Ġ201 7", + "ĠSe c", + "Ġs l", + "Ġb as", + "Ġj oin", + "Ġsm all", + "Ġle g", + "Ġloc al", + "ĠInd ian", + "ĠL a", + "ard s", + "Ġv ari", + "Ġrece ived", + "Ġde b", + "Ġev ent", + "Ġ2 5", + "Ġgen eral", + "Ġman ag", + "Ġpubl ished", + "Ġte levision", + "ĠC up", + "et t", + "Ġcent ury", + "ĠN ot", + "ilit ary", + "s ide", + "et er", + "Ġ3 0", + "at ure", + "Ġ201 9", + "Ġsing le", + "Ġbu ilt", + "ĠS up", + "Ġv i", + "ĠPh il", + "a ul", + "Ġd ue", + "Ġc ould", + "Ġv ers", + "ĠH owever", + "Ġ $", + "Ġap pro", + "ar ge", + "Ġw orld", + "Ġspec ies", + "ar a", + "Ġc olle", + "um n", + "Ġsuc cess", + "ie f", + "ounc il", + "Ġp o", + "v ers", + "Ġst r", + "in t", + "Ġa round", + "ord ing", + "if ied", + "ĠA ng", + "uth or", + "id es", + "at ely", + "om in", + "ĠG l", + "Ġo ld", + "Ġed uc", + "ĠT r", + "arri ed", + "ĠL ist", + "ĠN o", + "Ġt erm", + "is on", + "ro l", + "ĠC or", + "um mer", + "Ġa ge", + "ff ic", + "l ing", + "ĠT ra", + "ĠH ouse", + "Ġhe l", + "Ġal ign", + "Ġe p", + "ord s", + "e f", + "oc ial", + "ĠP ark", + "r ation", + "Ġp resent", + "ĠP re", + "Ġle ft", + "Ġl ast", + "Ġs ix", + "ĠE n", + "Ġh istory", + "Ġn ow", + "i od", + "a im", + "Ġs aid", + "ĠS an", + "Ġt y", + "Ġ200 0", + "Ġrep resent", + "re et", + "a us", + "id d", + "ra ft", + "t t", + "Ġd ied", + "Ġplay er", + "op h", + "Ġ 0", + "Ġre st", + "1 1", + "Ġc amp", + "iz ation", + "ĠD uring", + "Ġc ar", + "Ġl a", + "um b", + "angu age", + "Ġto p", + "ne y", + "Ġp ar", + "ĠB r", + "on es", + "Ġvill age", + "Ġwith in", + "ĠM ich", + "Ġd et", + "iv en", + "Ġst yle", + "Ġf ive", + "Ġ200 5", + "Ġt ri", + "Ġn orth", + "Ġsh ort", + "Ġ2 4", + "v an", + "ĠR oy", + "Ġor der", + "ide o", + "Ġ18 8", + "Ġd ay", + "in k", + "ĠD es", + "o ks", + "et her", + "u f", + "Ġdescrib ed", + "ak es", + "s c", + "ow s", + "ur ther", + "19 8", + "ent ly", + "Ġth ird", + "Ġbuild ing", + "al k", + "Ġinclud e", + "ĠR iver", + "Ġinclud ed", + "Ġp ost", + "um ent", + "Ġd own", + "ast er", + "if orn", + "ĠP er", + "Ġdif fer", + "d ay", + "he m", + "ĠA g", + "Ġchild ren", + "Ġre port", + "ur s", + "ĠEng land", + "c o", + "ĠCh ar", + "Ġ202 1", + "att le", + "Ġre f", + "vi ous", + "Ġre qu", + "ĠS ch", + "ĠA ct", + "n a", + "er a", + "feren ce", + "Ġbec ause", + "ke y", + "t ain", + "iforn ia", + "Ġad m", + "ĠB y", + "th ough", + "Ġann oun", + "Ġl arge", + "Ġcons id", + "iv ely", + "re g", + "ĠG ro", + "ĠM al", + "Ġs outh", + "g round", + "Ġs on", + "ĠAustral ia", + "Ġ200 4", + "ic o", + "Ġd em", + "rid ge", + "ri end", + "Ġd istrict", + "ĠCal ifornia", + "l er", + "col or", + "Ġst and", + "ĠP ort", + "ĠB ra", + "Ġm ark", + "ĠM on", + "os p", + ". ,", + "use um", + "ct ure", + "Ġar ch", + "Ġp ower", + "inn ing", + "Ġst at", + "Ġbo ok", + "uc k", + "od y", + "ĠY ou", + "ĠPart y", + "en cy", + "Ġl o", + "Ġdeath s", + "ri pt", + "Ġ202 2", + "Ġc rit", + "ad io", + "it er", + "part ment", + "land s", + "in ing", + "Ġw ar", + "con om", + "um an", + "Ġappe ar", + "Ġc or", + "ĠD em", + "Ġm ale", + "Ġl arg", + "k a", + "Ġis s", + "ĠR oman", + "re st", + "Ġ18 6", + "Ġj ust", + "ist er", + "Ġ2 2", + "Ġre pl", + "ĠB el", + "c er", + "al d", + "al f", + "Ġw ater", + "Ġserv ice", + "g ed", + "Ġper iod", + "Ġn on", + "Ġper form", + "Ġadd ition", + "n ess", + "Ġres p", + "v es", + "Ġk ill", + "am ent", + "oci ety", + "ĠA nt", + "Ġde p", + "ee k", + "Ġv is", + "he l", + "our s", + "e le", + "Ġre fer", + "ĠS m", + "a ff", + "er ing", + "ĠO ne", + "Ġmov ed", + "ĠA ward", + "en se", + "Ġc r", + "ĠE m", + "Ġdiffer ent", + "iz e", + "Ġcur rent", + "ĠAustral ian", + "Ġro und", + "Ġl ike", + "ot e", + "rib ut", + "5 0", + "ĠAr my", + "Ġ2 3", + "Ġinc re", + "om b", + "Ġm illion", + "Ġl ed", + "k i", + "l ine", + "ĠN or", + "p ar", + "Ġt rad", + "Ġbus iness", + "am a", + "ĠA cc", + "t al", + "av y", + "her n", + "ĠM inist", + "Ġan other", + "Ġth ose", + "o on", + "Ġh istor", + "ĠR ober", + "op s", + "o f", + "Ġsh ip", + "Ġ18 7", + "Ġe qu", + "Ġst ill", + "and er", + "Ġ if", + "Ġf ather", + "Ġ el", + "Ġf ield", + "Ġw est", + "ĠJ ames", + "Ġd el", + "ĠInd ia", + "Ġex per", + "Ġa uthor", + "i ber", + "ĠM or", + "ĠSt e", + "d e", + "ep end", + "Ġf ac", + "c hed", + "iv il", + "Ġact iv", + "Ġh and", + "Ġcomp os", + "ĠCh urch", + "ĠM usic", + "Ġbe st", + "ĠGen eral", + "ĠFran ce", + "Ġp ort", + "Ġk m", + "o x", + "Ġannoun ced", + "Ġin ternational", + "Ġdeb ut", + "stru ction", + "Ġtit le", + "Ġcount ry", + "d om", + "ĠQ u", + "Ġs old", + "Ġf em", + "ĠTh om", + "Ġw in", + "as es", + "Ġ200 3", + "v ille", + "Ġ( )", + "Ġestabl ish", + "ĠY ear", + "19 7", + "u el", + "Ġcharact er", + "Ġe ast", + "Ġpolit ic", + "ĠGeor ge", + "ĠD ivision", + "f ield", + "un icip", + "us h", + "Ġs ide", + "c ast", + "Ġp at", + "Ġd ra", + "b e", + "ĠRoy al", + "Ġc ult", + "ourn al", + "ĠA p", + "an ish", + "re ad", + "Ġn ov", + "Ġa v", + "g color", + "Ġpre vious", + "ĠM ount", + "g in", + "Ġm ake", + "ĠEurope an", + "Ġ very", + "ri es", + "a el", + "ĠQ ue", + "ĠP e", + "ort hern", + "Ġa ward", + "ĠCl ub", + "ĠCanad ian", + "Ġset t", + "ug g", + "ĠAc adem", + "Ġele ction", + "Ġpro ject", + "ip p", + "l in", + "le x", + "ĠP al", + "Ġam ong", + "m s", + "ap p", + "ab or", + "Ġw orks", + "ĠV al", + "ĠG r", + "Ġ2 6", + "ĠCanad a", + "Ġ200 2", + "ĠE le", + "i us", + "ĠR ich", + "Ġf r", + "al ign", + "Ġro le", + "g es", + "Ġpro duced", + "ĠW hen", + "w ork", + "ĠP aul", + "Ġf e", + "Ġm ag", + "pl oy", + "for man", + "Ġle vel", + "ĠB u", + "o ff", + "Ġof ten", + "ol ution", + "Ġa ff", + "Ġl ate", + "Ġs pe", + "Ġre ad", + "Ġw eb", + "a pe", + "ĠDav id", + "ĠC ouncil", + "Ġth ough", + "Ġinv ol", + "Ġre se", + "Ġb gcolor", + "ĠF ootball", + "Ġp e", + "Ġ199 0", + "it ar", + "st on", + "at ch", + "Ġwrit ten", + "Ġex pl", + "Ġ2 8", + "Ġ2 7", + "or ies", + "im ent", + "ĠL ou", + "Ġeng ine", + "Ġf ore", + "ĠH ol", + "Ġep is", + "ĠAss ociation", + "Ġ es", + "stit ute", + "Ġad v", + "b ack", + "Ġte chn", + "ac ks", + "Ġ200 1", + "ĠW ith", + "b an", + "ĠR ed", + "Ġstart ed", + "Ġev en", + "ĠD r", + "umn i", + "Ġyou ng", + "Ġp oss", + "Ġall ow", + "o le", + "em pt", + "Ġcl os", + "iv id", + "o e", + "ro te", + "Ġm arried", + "it or", + "Ġg rad", + "ĠR ail", + "v al", + "Ġc ame", + "Ġoffic ial", + "Ġin it", + "Ġc over", + "Ġim port", + "ĠP resident", + "Ġcre ated", + "ĠAmer ica", + "ou ther", + "Ġw ent", + "form ation", + "Ġg iven", + "Ġs ite", + "Ġto tal", + "ol ic", + "g y", + "ir c", + "ĠSt reet", + "al t", + "Ġst ru", + "Ġe very", + "ĠF irst", + "Ġt urn", + "outher n", + "Ġcommun ity", + "y a", + "ĠF rom", + "ĠS ing", + "er ation", + "w est", + "oin ted", + "ĠSt ud", + "3 0", + "Ġjoin ed", + "ra p", + "om et", + "Ġv al", + "Ġeff ect", + "ĠH istor", + "it te", + "ĠK h", + "Ġra il", + "ot s", + "Ġpolit ical", + "Ġch ang", + "Ġwork ed", + "Ġwh at", + "Ġp res", + "Ġcon c", + "i j", + "Ġvari ous", + "ir on", + "Ġf re", + "Ġdevelop ment", + "ag o", + "ber t", + "ĠS en", + "ree k", + "ĠT own", + "Ġcon f", + "pos ed", + "s ite", + "ĠT rans", + "b or", + "ir l", + "Ġpro cess", + "m a", + "Ġ1 00", + "Ġt w", + "Ġv ideo", + "e al", + "Ġprofess ional", + "Ġele ct", + "her s", + "Ġf act", + "Ġm ilitary", + "ĠS l", + "ac hed", + "' t", + "ĠUn ion", + "Ġvers ion", + "at ic", + "olog ical", + "at ri", + "ĠGerman y", + "op e", + "re am", + "ĠGro up", + "Ġm uch", + "s elf", + "Ġpro te", + "Ġprodu ction", + "Ġh aving", + "Ġne xt", + "Ġcomm on", + "Ġb re", + "Ġcl aim", + "Ġbec ome", + "Ġspec ial", + "Ġg r", + "h old", + "ĠM art", + "Ġs ent", + "ĠH en", + "Ġm iss", + "Ġh ost", + "ĠB er", + "og n", + "Ġs w", + "ĠJ e", + "h ib", + "ĠV ir", + "ĠM ary", + "ĠM ag", + "Ġ198 0", + "ĠS er", + "ĠRo ad", + "o or", + "Ġus ing", + "ĠW e", + "Ġp ri", + "ĠBl ack", + "ĠAr ch", + "Ġ [", + "Ġdire ct", + "Ġreturn ed", + "ĠMe x", + "19 6", + "Ġw rote", + "Ġint ro", + "ĠP ri", + "Ġs it", + "Ġp resident", + "Ġpr im", + "m en", + "Ġt em", + "ĠItal ian", + "ĠM y", + "ĠJapan ese", + "Ġ199 9", + "est s", + "Ġ2 9", + "Ġg l", + "ĠAfric an", + "in ation", + "ĠT ur", + "Ġpos ition", + "Ġmat ch", + "h a", + "Ġan t", + "ict ion", + "ĠL aw", + "Ġdire ctor", + "i ography", + "m ing", + "ĠH all", + "oin ts", + "Ġteam s", + "Ġt ake", + "ĠW omen", + "Ġm ult", + "Ġch urch", + "Ġsong s", + "fl u", + "ĠThe se", + "Ġopen ed", + "Ġper forman", + "B C", + "ct s", + "il ar", + "ĠComm un", + "ĠW ash", + "ĠPro v", + "ivid ual", + "Ġf ew", + "Ġev ents", + "id a", + "Ġf un", + "ell ow", + "ĠG ames", + "Ġbe h", + "se qu", + "ĠS am", + "ĠRober t", + "arl iam", + "Ġv ol", + "ak en", + "ib r", + "itt le", + "ĠRuss ian", + "ĠLe g", + "an i", + "ent ion", + "e ad", + "ĠCh ina", + "oc rat", + "u le", + "ĠB est", + "l o", + "arliam ent", + "ar ian", + "g er", + "C A", + "ĠSc ott", + "2 1", + "Ġt imes", + "t ra", + "Ġst ory", + "Ġs ol", + "ĠO ther", + "ec ut", + "Ġpart icip", + "Ġw ay", + "Ġv oc", + "Ġfootball ers", + "y ing", + "ri an", + "Ġalbum s", + "ĠAcc ording", + "augh ter", + "Ġbe g", + "Ġh ig", + "ĠM ad", + "est ed", + "ĠC ap", + "ĠPl ay", + "un t", + "Ġf riend", + "Ġ199 8", + "ĠWash ington", + "it z", + "ĠC ourt", + "n ing", + "ic le", + "Ġatt ack", + "ket ball", + "ĠM iss", + "Ġro ad", + "stit ut", + "our ces", + "itte e", + "il es", + "an ies", + "Ġim p", + "Ġadm inist", + "ĠC ast", + "Ġpopul ar", + "Ġbro ther", + "Ġne ed", + "Ġwith out", + "ĠComp any", + "is l", + "ĠC ont", + "ĠThom as", + "at ter", + "Ġserv ices", + "ra g", + "an ces", + "a ur", + "Ġreg ion", + "end ing", + "Ġp ract", + "ĠS erv", + "Ġstud ents", + "idd le", + "Ġs k", + "Ġs ocial", + "od es", + "ĠC ath", + "Ġt er", + "ĠM en", + "ers hip", + "ĠS al", + "e x", + "wo od", + "ĠK n", + "a ign", + "Ġh alf", + "Ġbro ad", + "y ear", + "2 2", + "Ġg reat", + "Ġf ull", + "r ated", + "Ġcontin ued", + "Ġ197 0", + "Ġl ost", + "ĠA wards", + "ĠKing dom", + "ain ing", + "ĠCent ral", + "ĠS ociety", + "ac y", + "c raft", + "Ġco ach", + "y m", + "Ġm id", + "ĠM ont", + "ĠG rand", + "Ġal umni", + "ĠO p", + "us ed", + "Ġeduc ation", + "ra b", + "Ġrese arch", + "are nt", + "Ġ199 6", + "Ġatt empt", + "Ġs qu", + "Ġd ays", + "is ing", + "Ġh owever", + "ĠI r", + "b urg", + "Ġse e", + "ĠCh in", + "ens us", + "ĠRec ords", + "Ġprom ot", + "ap er", + "ĠM useum", + "4 0", + "Ġcomple ted", + "on a", + "Ġpro duc", + "Ġele cted", + "Ġapp ointed", + "ĠA lex", + "at ors", + "ĠChar les", + "ill s", + "ĠFl or", + "Ġcom b", + "ĠIs land", + "Ġinv est", + "Ġind ust", + "Ġin f", + "Ġ ident", + "est ival", + "in i", + "ĠD on", + "cent er", + "Ġpart y", + "ĠM et", + "Ġfound ed", + "Ġcont rol", + "Ġdire cted", + "ĠE duc", + "ĠCent er", + "Ġrecord ed", + "ĠTe x", + "Ġl im", + "Ġa ver", + "ific ation", + "u it", + "Ġr ight", + "ĠI m", + "r d", + "Ġ199 7", + "Ġsign ed", + "ĠE arly", + "Ġw ife", + "Ġe conom", + "ĠS ummer", + "amp le", + "l ess", + "Ġp oints", + "ber g", + "Ġpro per", + "Ġle ague", + "w h", + "as ons", + "Ġgroup s", + "Ġare as", + "2 3", + "Ġre view", + "Ġ18 5", + "Ġ /", + "ĠDe partment", + "Ġb ase", + "n el", + "Ġconsid ered", + "ish ing", + "ĠS im", + "Ġcon ne", + "Ġra ce", + "r ay", + "ĠAng el", + "ĠWest ern", + "Ġ202 3", + "ĠO ffic", + "Ġp oint", + "ĠJ ew", + "pl ay", + "Ġh on", + "ĠC he", + "Ġpart ic", + "Ġse le", + "at ural", + "ĠFran c", + "Ġre n", + "Ġf ind", + "Ġf urther", + "ĠV ict", + "j e", + "Ġm ar", + "= #", + "ĠT o", + "Ġc oll", + "ĠT V", + "Ġrel ations", + "ĠIn stitute", + "Ġc aus", + "ar ies", + "Ġv ict", + "ĠG old", + "ĠAcadem y", + "ĠLou is", + "ell s", + "Ġsim ilar", + "ĠOlymp ics", + "il i", + "Ġde g", + "ĠB ay", + "th let", + "Ġh old", + "ĠMich ael", + "Ġind ividual", + "way s", + "Ġto g", + "Ġre al", + "Ġpr iv", + "ĠG reat", + "Ġvi ew", + "ĠM ac", + "Ġweb site", + "Ġ z", + "id ence", + "ĠZ eal", + "Ġt en", + "ĠP ress", + "Ġtog ether", + "Ġ199 5", + "u ation", + "um p", + "Ġrele ase", + "ra in", + "ĠP at", + "ĠC ong", + "ĠZeal and", + "Ġ199 2", + "ric k", + "Ġin flu", + "ot a", + "ĠVir gin", + "ĠV ol", + "Ġreport ed", + "ĠChrist ian", + "Ġc ase", + "Ġappe ared", + "ĠM us", + "ĠRep ublic", + "ĠM er", + "ĠU K", + "et work", + "Ġ199 4", + "| |", + "ar ter", + "ar th", + "Ġs ports", + "Ġoff ice", + "ĠSp anish", + "ĠChin ese", + "Ġm other", + "ou l", + "ed eral", + "ĠAfric a", + "Ġtra ck", + "ĠK ore", + "m ar", + "Ġw eek", + "2 5", + "Ġ3 1", + "c ks", + "ĠT om", + "Ġ5 0", + "Ġm y", + "Ġk e", + "i que", + "Ġme et", + "Ġnov el", + "Ġcon d", + "Ġbir th", + "Ġdevelop ed", + "en c", + "Ġform ed", + "Ġin s", + "Ġh ous", + "it ive", + "y d", + "ak er", + "Ġ196 0", + "it ing", + "Ġmed al", + "ĠB ur", + "Ġhel p", + "Ġa ut", + "ĠCar ol", + "Ġgu itar", + "ad es", + "Ġla un", + "Ġass ist", + "ĠB en", + "Ġph ot", + "ĠIn ter", + "ĠT er", + "ul a", + "k n", + "ĠD an", + "ap t", + "Ġwork ing", + "e h", + "du ction", + "Ġd oc", + "Ġar r", + "Ġm aking", + "Ġimport ant", + "Ġto urn", + "c le", + "ĠG reen", + "i ers", + "Ġarch ite", + "ĠH am", + "ĠTex as", + "ail ed", + "ud e", + "re land", + "Ġart ist", + "Ġc ast", + "ĠWh ite", + "ĠP et", + "Ġgro w", + "ed y", + "Ġm unicip", + "Ġap pl", + "Ġg ood", + "im ately", + "it ted", + "ĠWh ile", + "ĠD el", + "Ġv ot", + "b and", + "ĠP ublic", + "Ġof fer", + "t a", + "id ing", + "ĠK e", + "ĠB as", + "c ial", + "ĠS ports", + "g o", + "Ġl ess", + "Ġtrad ition", + "Ġschool s", + "m on", + "ert ain", + "ic les", + "ĠMinist er", + "r as", + "ĠJ ose", + "Ġl ive", + "id ae", + "al a", + "ĠC ons", + "Ġd ata", + "ro ll", + "one y", + "it her", + "Ġph ys", + "Ġf und", + "Ġ199 3", + "ĠDem ocrat", + "Ġty p", + "Ġother s", + "ens ive", + "Ġh uman", + "Ġsh ould", + "Ġd aughter", + "ol a", + "ĠT or", + "ab ly", + "epend ent", + "at ives", + "Ġem ploy", + "Ġro ck", + "Ġd i", + "Ġgro und", + "ĠP eter", + "osp ital", + "Ġre v", + "ĠFran k", + "Ġrec ogn", + "Ġm ater", + "Ġhim self", + "Ġst ar", + "overn or", + "all s", + "v iron", + "Ġbuild ings", + "Ġde cl", + "Ġ =", + "re y", + "ĠCath olic", + "ĠM el", + "ĠS ong", + "ut y", + "ĠRich ard", + "le g", + "Ġr ul", + ") :", + "Ġac ross", + "az ine", + "Ġav ail", + "Ġf ire", + "Ġcomp anies", + "ĠS ur", + "g en", + "h i", + "ic ation", + "ĠSw ed", + "19 5", + "al y", + "ĠB ill", + "Ġb ody", + "p ite", + "s y", + "en a", + "ate g", + "ol f", + "Ġan im", + "ant ed", + "Ġcamp aign", + "Ġst ations", + "and ing", + "at re", + "Ġl anguage", + "sh ire", + "m ost", + "ri a", + "Ġe ight", + "19 4", + "um e", + "Ġdo es", + "ĠW il", + "b our", + "Ġaver age", + "ĠM ass", + "ĠL u", + "ĠU p", + "ĠF ore", + "Ġm ot", + "Ġ199 1", + "ce ed", + "Ġbl ack", + "Ġqu al", + "Ġex ist", + "Ġbec om", + "ĠPar is", + "ĠSec ond", + "Ġplay ing", + "ut es", + "ric ket", + "o ice", + "ra el", + "ĠL at", + "Ġt ro", + "g ress", + "Ġmod ern", + "Ġl ow", + "ĠHen ry", + "em or", + "Ġdef e", + "ĠSup er", + "ĠVict or", + "he ast", + "19 3", + "Ġh ow", + "ĠS ant", + "Ġepis ode", + "Ġ18 4", + "Ġp aint", + "st ro", + "Ġc le", + "Ġ et", + "ĠC ro", + "Ġgrad u", + "o res", + "S t", + "z il", + "Ġst age", + "Ġd ivision", + "Ġd ram", + "Ġex ample", + "Ġd er", + "ĠGeor g", + "Ġc ross", + "em ents", + "Ġ4 0", + "w rit", + "ud d", + "Ġr adio", + "ad a", + "Ġne ver", + "Ġl iving", + "air s", + "ĠD ire", + "Ġperform ed", + "h ood", + "Ġf oc", + "ĠL os", + "Ġfem ale", + "emb ly", + "ch ie", + "oc key", + "and id", + "Ġw inn", + "eth od", + "ĠH on", + "Ġl ight", + "ĠS ome", + "Ġse par", + "Ġart ists", + "Ġbel ie", + "ĠRe v", + "Ġf ree", + "ĠSm ith", + "Ġpolitic ian", + "Ġac qu", + "ĠP enn", + "Ġass oci", + "w are", + "ĠOr der", + "Ġf ight", + "t ime", + "ur a", + "ent ial", + "Ġcont ract", + "ov iet", + "2 4", + "ĠChampionship s", + "ĠL ake", + "ĠB ut", + "ibr ary", + "ough t", + "Ġstr ong", + "ign ed", + "Ġsuccess ful", + "Ġmon ths", + "ĠF C", + "Ġre d", + "Ġkill ed", + "at ory", + "im ate", + "Ġfin ished", + "ĠEduc ation", + "av al", + "Ġpl aces", + "id ents", + "Ġcon struction", + "ĠCh ic", + "he ad", + "pe ople", + "k ed", + "ĠI reland", + "ĠO l", + "Ġg ave", + "Ġestablish ments", + "Ġ198 8", + "ĠC amp", + "Ġm us", + "av es", + "ĠG o", + "Ġavail able", + "ĠDe f", + "Ġcon du", + "Ġa way", + "Ġgo al", + "Ġ198 9", + "v a", + "Ġperforman ce", + "if f", + "ell ing", + "ĠO b", + "ĠS aint", + "Ġt re", + "Ġal though", + "id s", + "ĠP an", + "as c", + "ish op", + "Ġpro t", + "Ġbo oks", + "ran ch", + "il ities", + "viron ment", + "it a", + "ĠS pec", + "Ġj ournal", + "an o", + "Ġin formation", + "Ġ ide", + "ĠD ay", + "ad o", + "inal s", + "z a", + "ic ated", + "ĠFilm s", + "he re", + "ĠOlymp ic", + "Ġd am", + "ĠC ur", + "Ġt aken", + "ĠV ill", + "ĠW in", + "ĠNot es", + "le ft", + "ell a", + "Ġcap t", + "it ch", + "i qu", + "ĠBra zil", + "ĠIs rael", + "ĠD u", + "ific ant", + "Ġshow s", + "Ġfollow ed", + ", \"", + "Ġr ank", + "o o", + "Ġag re", + "ĠR ob", + "ĠC areer", + "Ġto ur", + "ug by", + "Ġc ost", + "Ġm ix", + "ĠVirgin ia", + "Ġhe alth", + "Ġfr ont", + "Ġj ud", + "om a", + "ĠG overnment", + "Ġinclud es", + "Ġaward ed", + "Ġc irc", + "ut ch", + "Ġtourn ament", + "Ġc our", + "ĠM a", + "ĠL ife", + "ĠM in", + "\" |", + "Ġfeat ures", + "ig an", + "Ġ :", + "ĠJ ust", + "I I", + "Ġvi ol", + "Ġoriginal ly", + "Ġdesign ed", + "s erv", + "ĠT our", + "ĠAt l", + "Ġhouse hold", + "ĠH ill", + "ag ed", + "nd er", + "n y", + "i os", + "Ġac cess", + "Ġmater ial", + "ĠTe am", + "Ġse ven", + "se c", + "Ġs en", + "ve y", + "Ġc ourt", + "ĠE mp", + "e g", + "ĠC arl", + "ĠIt s", + "ĠM r", + "Ġim pro", + "Ġp ut", + "om s", + "Ġc ivil", + "Ġrel ig", + "2 6", + "Ġrem ained", + "ĠP erson", + "ĠHistor ic", + "Ġs ound", + "ĠAr ts", + "Ġs il", + "ist an", + "Ġstud y", + "Ġl ab", + "en ed", + "ĠG all", + "ĠR ock", + "Ġon ce", + "ĠG ra", + "2 7", + "Ġfeat ured", + "Ġin j", + "Ġd ou", + "ĠRail way", + "er ous", + "ar ia", + "ĠS qu", + "Ġfor ces", + "atri ate", + "Ġsc ored", + "ĠL and", + "ur ity", + "Ġc y", + "Ġ ill", + "om m", + "Ġt est", + "Ġ #", + "Ġp ress", + "ac hes", + "Ġ198 7", + "ol k", + "Ġb ar", + "ĠChic ago", + "2 8", + "he st", + "it es", + "Ġmark et", + "Ġbas ketball", + "ip le", + "Ġde v", + "Ġre b", + "Ġsing er", + "Ġsign ificant", + "ĠM o", + "ach ing", + "ap s", + "il ies", + "Ġpl an", + "end er", + "Ġex ecut", + "r or", + "ĠS oviet", + "ic ations", + "re l", + "Ġlead ing", + "Ġtra ining", + "em s", + "ĠSc ot", + "v in", + "Ġpol ice", + "Ġmed ia", + "ĠFor ce", + "Ġe arn", + "ver t", + "ĠS ub", + "y e", + "ic y", + "Ġ195 0", + "ĠM il", + "C h", + "Ġm ount", + "Ġlarg est", + "Ġr ights", + "ĠS ir", + "ear ch", + "ĠComm ission", + "augh t", + "ĠT wo", + "ĠItal y", + "m ier", + "A mer", + "ĠS o", + "ĠPro fess", + "Ġ198 6", + "our ce", + "Ġm ust", + "Ġair craft", + "Ġst ri", + "ĠM od", + "Ġmod el", + "ut er", + "ĠMex ico", + "Ġ198 4", + "Ġch art", + "Ġen c", + "y p", + "Ġs em", + "ĠCl ass", + "ĠI ll", + "Ġthrough out", + "ĠPol it", + "Ġl iter", + "ist ics", + "ĠP arliament", + "Ġg old", + "Ġtrans fer", + "Ġcons ist", + "v ing", + "ĠS ince", + "ĠMar k", + "Ġinvol ved", + "Ġc ou", + "ĠC at", + "Ġlist ed", + "Ġsub sequ", + "ord er", + "Ġst ated", + "ien ces", + "Ġwh ite", + "ĠO ff", + "ĠAn n", + "Ġw id", + "un k", + "Ġbo ard", + "s el", + "Ġintro duced", + "Ġrepl aced", + "ĠIr ish", + "Ġs ugg", + "ann el", + "Ġe arl", + "Ġse en", + "Ġcompet ition", + "Ġb i", + "Ġ18 3", + "un s", + "ĠE r", + "ĠProv ince", + "ĠFlor ida", + "Ġc andid", + "Ġd iv", + "if t", + "6 0", + "2 9", + "Ġtrans l", + "ĠN avy", + "ĠM ur", + "Ġ198 5", + "Ġwrit er", + "Ġevent ually", + "Ġpriv ate", + "Ġv ia", + "Ġresp ons", + "rib ution", + "ut ure", + "ĠTe chn", + "Ġcrit ic", + "Ġresult s", + "Ġent ire", + "u ff", + "Ġvoc als", + "c her", + "Ġab le", + "u z", + "um m", + "ĠD o", + "te xt", + "Ġr an", + "Ġadd ed", + "ret ary", + "ĠAl though", + "Ġc ollege", + "ĠD en", + "Ġpro ble", + "ĠO per", + "ĠComm ittee", + "ĠF estival", + "Ġfour th", + "ĠS il", + "o ch", + "Ġp ast", + "Ġcount ries", + "ĠF in", + "as k", + "ĠB us", + "ro ad", + "A S", + "el t", + "ĠW ales", + "c ript", + "Ġw ind", + "ĠAngel es", + "y r", + "ĠO ver", + "Ġcent ral", + "Ġst e", + "Ġact ress", + "m b", + "uf act", + "Ġsur v", + "as ing", + "ul arly", + "Ġa ud", + "Ġwrit ers", + "u a", + "ian o", + "Ġcomm and", + "Ġass ociation", + "Ġle ast", + "m in", + "Ġres pect", + "i res", + "ĠBro wn", + "ĠE v", + "Ġl oss", + "yl van", + "Amer ican", + "Ġsp ace", + "por ary", + "Ġs er", + "A R", + "ĠSc ience", + "ĠO ut", + "mer cial", + "8 0", + "ĠN orthern", + "Ġun its", + "ĠM ost", + "ab ility", + "f ic", + "ĠR h", + "Ġn omin", + "ĠF ound", + "ĠSt ar", + "ĠRuss ia", + "Ġm inist", + "Ġs ch", + "b b", + "ok e", + "ĠU k", + "ĠG od", + "r up", + "Ġdeg ree", + "i ro", + "ĠCong ress", + "ĠCarol ina", + "Ġst aff", + "Ġdisc over", + "Ġ198 3", + "Ġr ange", + "Ġst ates", + "ib l", + "ĠAr g", + "ri al", + "Ġcl ose", + "ĠR os", + "Ġdoc ument", + "ra w", + "ĠJ un", + "Ġbroad cast", + "n ow", + "Ġf ig", + "Ġab ove", + "pl es", + "Ġre ached", + "med i", + "g ian", + "l or", + "Ġc ensus", + "ĠServ ice", + "st e", + "ant ic", + "Ġpl ant", + "ĠCol umb", + "ĠL iber", + "ĠE s", + "ĠC r", + "Ġch ange", + "erv e", + "T V", + "Ġprov ided", + "ĠJose ph", + "ĠO h", + "Ġse asons", + "Ġt reat", + "Ġcurrent ly", + "oy s", + "Ġex hib", + "ĠO ld", + "i ents", + "b ur", + "rough t", + "Ġg et", + "Ġcont ribut", + "Ġexp ress", + "ylvan ia", + "l im", + "Ġp ur", + "Ġe ither", + "Ġf av", + "Ġ( \"", + "Ġch ampionship", + "r ative", + "ĠS a", + "f ace", + "Ġtra vel", + "or por", + "Ġac cept", + "Ġpl aced", + "u x", + "sy ch", + "Ġmiss ing", + "Ġup on", + "ĠF re", + "al ed", + "F A", + "Ġrail way", + ") ;", + "bo ard", + "ĠS eries", + "Ġs aw", + "ad ium", + "Ġinter est", + "st ant", + "ian a", + "Ġstru ct", + "ĠC am", + "F L", + "ĠP ac", + "ab it", + "ist ic", + "ip l", + "Ġ198 2", + "Ġcent er", + "Ġm ur", + "w ell", + "Ġk ey", + "Ġ !", + "Ġa ction", + "ĠAss embly", + "a ut", + "ĠF ort", + "ĠD ou", + "Ġocc ur", + "ed s", + "Ġty pe", + "ĠM os", + "cept ion", + "Ġp ot", + "ĠM ic", + "kn own", + "p ly", + "is es", + "Ġc op", + "ĠF urther", + "ĠF ollow", + "Ġn ight", + "Ġa chie", + "ig er", + "g l", + "ĠS k", + "Ġd u", + "ĠR am", + "Ġatt ended", + "Ġ197 9", + "stit ution", + "Ġle arn", + "ĠM ill", + "Ġcharact ers", + "ĠB re", + "l anguage", + "ĠB attle", + "ĠA rab", + "Ġse x", + "ubl ican", + "ay ing", + "ĠM at", + "az z", + "Ġcap ital", + "p ress", + "ĠP opul", + "et te", + "Ġme as", + "Ġdec ided", + "ĠM ain", + "ĠW ood", + "Ġf if", + "l am", + "i h", + "ĠM ajor", + "ĠT ro", + "ele b", + "Ġar g", + "Ġdec ision", + ". )", + "ult ural", + "Ġprevious ly", + "Ġdra w", + "ĠRes earch", + "eng th", + "ar ily", + "ĠEmp ire", + "ĠG reek", + "ĠF red", + "ult ure", + "c a", + "Ġst re", + "Ġde stro", + "Ġne igh", + "Ġ197 2", + "Ġlead er", + "Ġh om", + "d en", + "ĠDemocrat ic", + "g r", + "Ġappro x", + "am ily", + "Ġstud io", + "Ġse ction", + "er o", + "Ġus ually", + "Ġme an", + "ĠPenn s", + "Ġ197 6", + "or ing", + "Ġm ass", + "ĠS ol", + "Ġdefe ated", + "ĠOffic ial", + "ĠH a", + "Ġsing les", + "and a", + "Ġed ition", + "ĠMart in", + "u an", + "ĠD utch", + "Ġre ve", + "Ġocc up", + "ow ers", + "st ra", + "re me", + "ĠC le", + "ĠS un", + "p ing", + "ĠFollow ing", + "Ġkn ow", + "Ġg rand", + "Ġn atural", + "Ġinst ead", + "Ġeff ort", + "ĠMed al", + "ĠJ im", + "ĠScott ish", + "Ġp ain", + "Ġpo et", + "Ġact or", + "Ġr iver", + "ĠSp ain", + "ch an", + "Ġf arm", + "Ġp arent", + "Ġacc ount", + "il s", + "ig a", + "ĠS ocial", + "ĠPenns ylvania", + "Ġb ur", + "B A", + "or a", + "Ġsub ject", + "st r", + "c el", + "c ell", + "Ġ198 1", + "Ġw inning", + "Ġproduc er", + "ĠG ar", + "inc ip", + "ans as", + "ĠM embers", + "Ġinvest ig", + "Ġwh ose", + "ult y", + "ult s", + "Ġm ethod", + "ĠW al", + "um ents", + "Ġpl ann", + "Ġ197 8", + "ĠL ove", + "Ġpart s", + "ĠIn c", + "Ġact ive", + "Ġ197 4", + "Ġrepresent ed", + "in ent", + "ĠM ilitary", + "Ġmov ement", + "at o", + "Ġg e", + "ĠH ow", + "Ġprim ary", + "Ġprov ide", + "ĠAs ian", + "Ġfam ilies", + "Ġcult ure", + "Ġ196 8", + "ĠP ak", + "w an", + "Ġrelations hip", + "Ġplay s", + "9 0", + "ĠL ater", + "ĠF inal", + "b ased", + "Ġf ar", + "Ġp ark", + "ĠR adio", + "Ġsc ient", + "Ġorgan iz", + "pt ion", + "Ġpr ison", + "ĠJ ud", + "Ġde al", + "ĠLe e", + "Ġp red", + "Ġn orthern", + "Ġ194 0", + "Ġs outhern", + "Ġbeh ind", + "Ġp urch", + "ĠE p", + "pos ition", + "r ig", + "Ġt ax", + "ĠH ot", + "cl us", + "ĠT w", + "ar io", + "Ġ197 5", + "ug u", + "ĠC ross", + "l a", + "ĠI ran", + "ĠYou ng", + "ig ital", + "Ġmus ical", + "ĠBu ild", + "ad y", + "ens ion", + "Ġs ize", + "y er", + "ĠC ivil", + "ĠCh ief", + "Ġb ank", + "Ġl ik", + "7 0", + "omet imes", + "Ġ197 7", + "se e", + "ri e", + "Ġl ower", + "ĠB ul", + "ing u", + "ĠBo ard", + "w er", + "ĠB et", + ".. .", + "Ġgo als", + "isc o", + "ĠS ar", + "ĠSp ace", + "Ġb rought", + "ĠP ost", + "Ġread ing", + "Ġco ast", + "Ġnew sp", + "ĠB ig", + "ĠB ase", + "erg y", + "Ġout side", + "ĠL oc", + "Ġac adem", + "ĠH el", + "Ġs us", + "s k", + "ĠS outhern", + "ĠReg ister", + "\" )", + "n ot", + "Ġp ers", + "Ġcolle ction", + "Ġh ard", + "Ġorgan ization", + "im b", + "ar ing", + "Ġc ut", + "Ġ i", + "ĠC D", + "end s", + "ĠH aw", + "Ġr ather", + "all ed", + "ĠB ack", + "ers ey", + "Ġ197 3", + "Ġf all", + "m ark", + "Ġclos ed", + "a o", + "Ġindust ry", + "Ġrun s", + "Ġwrit ing", + "al i", + "Ġn etwork", + "Ġg irl", + "Ġend ed", + "N A", + "Ġc ricket", + "ĠJ ack", + "Ġman ufact", + "Ġc are", + "h an", + "Ġdram a", + "Ġk ing", + "ĠL uc", + "or se", + "Ġfor ce", + "Ġsh ot", + "ir m", + "Ġfootball er", + "Ġ193 0", + "ĠAd m", + "it an", + "Ġsystem s", + "anc ial", + "p an", + "at i", + "pec ially", + "he t", + "aw a", + "ĠO x", + "I D", + "ĠEd ward", + "ĠEng ine", + "ct ive", + "Ġh it", + "ĠL ong", + "Ġes c", + "ul ation", + "oun ter", + "Ġposs ible", + "Ġw ood", + "Ġim m", + "ĠVal ley", + "ĠR el", + "Ġreg ard", + "ĠU nder", + "ĠT ri", + "Ġ194 5", + "Ġmat ches", + "m ond", + "Ġallow ed", + "Ġstud ies", + "ĠV er", + "ĠU r", + "ĠS pr", + "ĠT imes", + "Ġne g", + "Ġal most", + "it ors", + "ĠRep ublican", + "Ġreg ular", + "Ġ196 9", + "ven ue", + "id er", + "Ġstru cture", + "Ġst op", + "in ary", + "Ġ197 1", + "Ġmag azine", + "ĠJew ish", + "em ic", + "ur b", + "Ġchang ed", + "Ġcomm ission", + "Ġfre qu", + "c ient", + "enn is", + "ĠTe levision", + "in ated", + "l ike", + "ĠJ ul", + "ent h", + "Ġc at", + "ĠB ob", + "back ground", + "ĠP o", + "ĠB ank", + "Ġd en", + "ĠMich igan", + "Ġis land", + "c ing", + "Ġpl at", + "Ġsett le", + "Ġsch ol", + "ĠD isc", + "Ġlaun ched", + "Ġb all", + "ĠM ah", + "Ġoper ations", + "it iz", + "ĠC amb", + "air man", + "ov ers", + "Ġw oman", + "ĠPl aces", + "velop ment", + "Ġbeg inning", + "ac ing", + "Ġperson al", + "ĠJ er", + "ĠO s", + "Ġter rit", + "k o", + "Ġto wards", + "3 5", + "on n", + "Ġte xt", + "i as", + "Ġtrans port", + "ĠMc C", + "Ġgen us", + "ĠA thlet", + "Ġown ed", + "Ġdet erm", + "Ġt aking", + "Ġn ar", + "Ġf ood", + "ĠOp en", + "Ġmanag er", + "et ts", + "Ġacc ording", + "e es", + "Ġ196 7", + "Ġc ases", + "ĠT im", + "Ġm er", + "ĠH ung", + "ĠHe alth", + "ip s", + "y an", + "Ġn ames", + "ak a", + "Ġind ependent", + "Ġcon stru", + "Ġwh om", + "Ġp ay", + "us band", + "ĠV i", + "ly ing", + "Ġ196 4", + "ol s", + "Ġsc ience", + "Ġf a", + "Ġrem ov", + "Ġoffic er", + "Ġc red", + "ĠPhil ipp", + "Ġ )", + "ĠOh io", + "ĠB h", + "Ġsc ore", + "st ate", + "ĠK ent", + "Ġapprox imately", + "ĠIn f", + "Ġmin or", + "Ġv eh", + "ĠT op", + "Ġob serv", + "ĠL ine", + "ĠF r", + "7 5", + "ĠUn ivers", + "Ġcomp let", + "Ġbre ak", + "ĠR ou", + "im a", + "ĠPol and", + "Ġfun ction", + "ib ility", + "ĠJ o", + "b ury", + "ino is", + "Ġe ver", + "Ġsc reen", + "b on", + "Ġconc ern", + "Ġsp ent", + "Ġar my", + "ĠG al", + "ĠArg ent", + "Ġaddition al", + "ct ing", + "g a", + "pe cted", + "Ġsqu ad", + "Ġ6 0", + "ĠD is", + "o id", + "Ġph il", + "ĠII I", + "ĠA re", + "o ir", + "Ġnot ed", + "in et", + "ĠScot land", + "ĠM ot", + "ĠG h", + "Ġs elf", + "Ġob ject", + "en ced", + "Ġcomple x", + "Ġbo x", + "ir a", + "Ġc eleb", + "amp ions", + "ĠT re", + "ach us", + "ĠL ord", + "if y", + "w w", + "Ġiss ues", + "Ġcount y", + "ĠPol ish", + "Ġ19 20", + "os h", + "il ed", + "Ġch ief", + "ĠB or", + "en ces", + "Ġsen ior", + "es h", + "k ing", + "ĠQue en", + "Ġc he", + "Ġmon th", + "Ġb attle", + ": #", + "Ġcom mercial", + "ost on", + "Ġl ived", + "Ġs ummer", + "Ġele ctions", + "4 5", + "Ġits elf", + "Ġd ate", + "Ġmult iple", + "Ġrel ated", + "uf fer", + "ĠPac ific", + "Ġs at", + "read y", + "Ġpolitic ians", + "Ġfoc us", + "Ġhig hest", + "Ġro ute", + "ĠNew s", + "Ġso on", + "ĠM att", + "ĠJ r", + "ĠIll inois", + "Ġtradition al", + "d own", + "Ġto o", + "Ġl ittle", + "Ġf uture", + "Ġle t", + "Ġqu est", + "Ġes pecially", + "ĠDire ctor", + "Ġhig her", + "Ġopen ing", + "ay a", + "ard en", + "Ġsup er", + "Ġlo ok", + "ĠE nd", + "Ġ196 5", + "um s", + "Ġm oney", + "Ġc al", + "ac her", + "ĠO k", + "ĠBrit ain", + "Ġrequ ired", + "ĠRep resent", + "achus etts", + "f ect", + "Ġinter view", + "Ġun ion", + "ĠCon ference", + "ĠD i", + "ĠJ ersey", + "Ġ196 6", + "bur gh", + "em porary", + "ĠS and", + "ĠGeorg ia", + "Ġen vironment", + "r ich", + "ad or", + "Ġed itor", + "ct ic", + "ob al", + "Ġcont ains", + "Ġappear ance", + "ĠC y", + "ĠAs ia", + "Ġbel ow", + "Ġ18 0", + "k ins", + "Ġproper ty", + "Ġpri or", + "ĠG overnor", + "ĠA z", + "19 0", + "ĠC olle", + "ĠL ab", + "ĠMass achusetts", + "Ġvict ory", + "h ouse", + "Ġme ans", + "Ġsele cted", + "Ġent ered", + "ch ange", + "on se", + "ĠB oston", + "ĠF er", + "Ġstud ied", + "d s", + "Ġpro f", + "ig r", + "p ut", + "Ġh usband", + "ĠL o", + "ĠBo ok", + "Ġpract ice", + "ĠEast ern", + "S A", + "Ġe mer", + "Ġsur round", + "Ġloc ation", + "al ys", + "st anding", + "Ġex am", + "ut en", + "Ġassoci ated", + "emor ial", + "ĠTh at", + "Ġun it", + "ĠC O", + "ĠJ ournal", + "vent ion", + "Ġm ission", + "Ġstruct ures", + "Ġb ass", + "Ġr ad", + "ĠHe ad", + "Ġmur der", + "Ġtr ade", + "j a", + "Ġ3 5", + "Ġd on", + "w a", + "Ġprofess or", + "ĠL ibrary", + "ĠColumb ia", + "ĠB ang", + "Ġc ertain", + "Ġcent re", + "ĠJ ac", + "Ġstand ard", + "Ġship s", + "ĠG re", + "F C", + "Ġret ired", + "op er", + "Ġse at", + "Ġad op", + "Ġearl ier", + "ĠPr ince", + "Ġar ran", + "Ġ ens", + "3 3", + "i i", + "Ġrun ning", + "Ġmanag ement", + "ĠM ore", + "Ġ er", + "Ġbecom ing", + "Ġd om", + "ĠJe an", + "Ġde partment", + "ĠG ame", + "w ith", + "ĠF ield", + "Ġstud ent", + "ry ing", + "Ġ194 4", + "ĠM P", + "Ġactiv ities", + "t ained", + "Ġso ft", + "Ġt rib", + "ĠThe atre", + "ĠJ ones", + "Ġclub s", + "Ġcom e", + "ĠWilliam s", + "Ġl ength", + "an ks", + "Ġem b", + "Ġmunicip ality", + "il a", + "Ġleg al", + "and ed", + "i y", + "al le", + "Ġcoll abor", + "ĠSt an", + "ail s", + "ig g", + "ĠDe velopment", + "Ġmed ical", + "Ġact ors", + "Ġs uffer", + "Ġcom edy", + "arri age", + "in em", + "N E", + "ĠM iddle", + "gy pt", + "ian ce", + "Ġleg isl", + "Ġinit ially", + "om y", + "ĠW eb", + "Ġqu arter", + "Ġcaus ed", + "9 9", + "ĠM any", + "Ġal ready", + "ad el", + "Ġs ometimes", + "Ġp ie", + "s en", + "b re", + "ĠS oc", + "Ġp en", + "Ġth us", + "Ġtra in", + "ĠCo ast", + "ĠFranc isco", + "ĠE conom", + "ĠV an", + "Ġdestro y", + "Ġmov e", + "Ġoper ated", + "et ic", + "ĠI f", + "Ġfeat ure", + "ĠB ow", + "ĠH ong", + "Ġgeneral ly", + "ĠSt ep", + "ĠK ong", + "Ġar rest", + "Ġfore st", + "Ġincre ased", + "Ġequ ip", + "ĠD et", + "ĠS at", + "Ġold er", + "Ġh ockey", + "Ġl ove", + "ĠK ar", + "ĠW ater", + "ant ry", + "Ġcour se", + "Ġw ide", + "ĠOr gan", + "tra ck", + "Ġwest ern", + "ĠM u", + "ĠW ind", + "sp an", + "Ġnum erous", + "ĠAl bert", + "am m", + "ĠBl ue", + "Ġcon v", + "Ġus es", + "Ġcompet ed", + "n o", + "Ġc ouncil", + "Ġnew s", + "Ġra p", + "ĠMan ag", + "Ġg ra", + "Ġann ual", + "Ġdif fic", + "a res", + "ee ks", + "Ġs af", + "ĠF ed", + "is ation", + "ĠJohn son", + "ĠP res", + "Ġ196 3", + "Ġchang es", + "ĠCons erv", + "and s", + "k en", + "Ġv ir", + "ĠE ll", + "ĠD ie", + "ĠM id", + "ĠCh ild", + "on ia", + "ĠPerson al", + "ĠSy stem", + "el a", + "Ġmajor ity", + "og rap", + "Ġs u", + "ĠDe ath", + "ill a", + "Ġterm s", + "Ġserv ing", + "ĠB C", + "ĠCent re", + "ri ef", + "Ġiss ue", + "ul pt", + "Ġf ederal", + "ĠA k", + "att al", + "stit u", + "Ġab s", + "ĠB iography", + "Ġant i", + "ad d", + "Ġind ic", + "ple ment", + "Ġperson nel", + "Ġbet ter", + "Ġcol on", + "Ġun iversity", + "ab eth", + "ĠBro ad", + "Ġ196 2", + "ul f", + "Ġth reat", + "ĠSer b", + "el le", + "Ġrelig ious", + "ĠA ri", + "Ġse a", + "p re", + "Ġc ust", + "Ġs ister", + "ĠT ime", + "ĠE gypt", + "I n", + "ĠB al", + "Ġke ep", + "it ation", + "ĠOx ford", + "ak h", + "ĠB ir", + "ĠSt ation", + "ĠT em", + "Ġpro b", + "ĠG ood", + "ĠTrans port", + "ĠOff ice", + "A C", + "ĠIn t", + "ĠW rit", + "Ġd rop", + "Ġlin es", + "ĠS pe", + "Ġpass ed", + "ĠH ome", + "ĠT am", + "as y", + "ĠAd am", + "Ġd ed", + "ĠSpec ial", + "Ġl ack", + "ĠIs lam", + "ĠW ild", + "Ġacc om", + "che n", + "ĠAlex ander", + "ĠL ittle", + "ĠTra ck", + "t ies", + "ĠComm on", + "Ġh ot", + "Ġexp atriate", + "Ġthough t", + "Ġor d", + "ĠSwed ish", + "man n", + "art ers", + "Ġoffic ers", + "ĠF our", + "ie uten", + "ĠL y", + "ir it", + "is her", + "ce an", + "Ġrecord ing", + "Ġclaim ed", + "Ġh um", + "Ġfor ced", + "ur ban", + "ĠU l", + "Ġprogram s", + "9 5", + "ĠM ax", + "Ġeconom ic", + "Ġstat us", + "Ġdisc uss", + "Ġ4 5", + "ĠK en", + "w ar", + "ĠFound ation", + "Ġn ine", + "Ġinst r", + "Ġlim ited", + "un n", + "orpor ated", + "; \"", + "Ġm useum", + "a ction", + "Ġsupport ed", + "it age", + "Ġim medi", + "ĠB ern", + "Ġ194 2", + "Ġmin utes", + "ĠSen ate", + "Ġcomple te", + "Ġp il", + "acks on", + "ub e", + "Ġcre ate", + "b l", + "Ġgen er", + "ĠCor ps", + "Ġover all", + "Ġh ours", + "Ġsubsequ ently", + "h ire", + "Ġsh oot", + "Ġpresent ed", + "Ġb ene", + "8 8", + "Ġmeet ing", + "ĠThe ir", + "ph y", + "ĠEn ter", + "ĠLat in", + "Ġrem ains", + "ĠF ar", + "ĠGall ery", + "ĠC ard", + "ĠR ay", + "Ġ194 8", + "ro wn", + "Ġ ice", + "ing er", + "ĠAd d", + "ig inal", + "ĠAnd rew", + "Ġdes cent", + "Ġra ised", + "uc le", + "Ġearn ed", + "Ġin stitut", + "v is", + "Ġl ic", + "Ġocc as", + "ĠB ibl", + "A T", + "Ġbel ong", + "ct ors", + "Ġev idence", + "n am", + "Ġcommun ities", + "ĠA sh", + "Ġch all", + "ĠVictor ia", + "Ġgo ing", + "Ġ194 3", + "ĠO f", + "ĠF I", + "3 6", + "iz ing", + "Ġplat form", + "Ġmost ly", + "un a", + "ap ers", + "Ġ195 6", + "Ġj ob", + "ĠC reek", + "is k", + "Ġ196 1", + "ĠSe a", + "Ġhistor ical", + "u ge", + "um ber", + "Ġw eeks", + "Ġal tern", + "m i", + "Ġf le", + "Ġappear ances", + "ĠEl iz", + "Ġse qu", + "w ide", + "at ers", + "ĠSy d", + "ĠBer lin", + "ail y", + "Ġ6 5", + "ĠM inn", + "ur t", + "ĠDe v", + "Ġresp onse", + "ĠS und", + "ĠCor por", + "ĠT y", + "Ġg ive", + "4 7", + "Ġs om", + "ĠJ ackson", + "A F", + "ze ch", + "ieuten ant", + "Ġper cent", + "ĠC orn", + "ĠKore an", + "Ġpro p", + "Ġb ound", + "Ġsh own", + "Ġar m", + "ĠC op", + "Ġin sp", + "w in", + "im s", + "Ġcon cept", + "Ġ195 8", + "ir ing", + "Ġo pt", + "B S", + "Ġreg ional", + "ĠDan iel", + "Ġpartic ularly", + "Ġinc ome", + "g u", + "ĠAl bum", + "ĠW eek", + "Ġacqu ired", + "Ġparent s", + "Ġfore ign", + "ĠR aj", + "Ġb omb", + "ĠSec retary", + "ĠEle ct", + "ĠIs lands", + "Ġm ention", + "Ġpol icy", + "Ġy outh", + "ĠN ight", + "im um", + "ont o", + "Ġc ell", + "alys is", + "Ġ195 9", + "ste in", + "Ġm iddle", + "enc ies", + "3 8", + "che ster", + "Ġdis e", + "re m", + "Ġrecord s", + "ent y", + "ĠPol ice", + "Ġin n", + "Ġt akes", + "os oph", + "4 8", + "Ġlong er", + "ĠB BC", + "Ġl os", + "Ġg ot", + "Ġhel ped", + "ell ed", + "Ġpartic ular", + "Ġf ailed", + "ri ed", + "Ġappe ars", + "ĠG irl", + "Ġ ver", + "Ġpromot ed", + "ĠDes pite", + "Ġa wards", + "on ic", + "Ġpr incip", + "Ġst ep", + "Ġ194 6", + "ĠTh ree", + "ent al", + "st one", + "Ġfam ous", + "Ġbl ock", + "ĠKore a", + "Ġrem ain", + "out heast", + "Ġthe ory", + "ĠR od", + "olog ist", + "Ġin te", + "ag n", + "Ġv ote", + "Ġfin ancial", + "Ġorganiz ations", + "ak ers", + "Ġle aving", + "ĠAt t", + "Ġtra cks", + "ĠM ov", + "ĠR og", + "Ġeast ern", + "o z", + "led ge", + "Ġg overn", + "Ġbase ball", + "ĠB i", + "Ġp sych", + "Ġ194 1", + "Ġm em", + "ĠW ork", + "Ġtechn ology", + "Ġ3 2", + "Ġen ergy", + "v ement", + "cl ass", + "om er", + "Ġsc hed", + "Ġv on", + "if ying", + "Ġm ach", + "y o", + "Ġcompos ed", + "ron ze", + "Ġh app", + "4 6", + "Ġrefer red", + "b ers", + "ĠW all", + "ĠT ax", + "ĠReg iment", + "Ġspec ific", + "Ġcre w", + "ĠSyd ney", + "ĠF amily", + "3 7", + "Ġqu ick", + "em et", + "ĠH ospital", + "Ġincre ase", + "c ul", + "ĠM unicip", + "ĠK enn", + "Ġc itiz", + "Ġbelie ved", + "Ġrem aining", + "Ġw ord", + "ĠC oll", + "ĠSh ow", + "Ġprov ince", + "Ġc ateg", + "Ġlarg er", + "ĠJ oe", + "Ġhous es", + "ĠCh arl", + "rop ol", + "ĠV iet", + "ĠC zech", + "te en", + "Ġh ospital", + "v est", + "c an", + "Ġc arried", + "ĠO tt", + "ĠL im", + "Ġ eth", + "T h", + "ĠV en", + "ric e", + "il ly", + "ou ri", + "ĠBus iness", + "Ġam ount", + "Ġl atter", + "ĠH y", + "ĠW ay", + "Ġtro ops", + "ĠF ederal", + "th ur", + "istric ts", + "Ġ195 7", + "Ġd iss", + "Ġ193 9", + "C C", + "Ġ( ),", + "ĠAr m", + "Ġstart ing", + "ĠTur k", + "Ġarchite ct", + "ov a", + "ĠP en", + "9 6", + "Ġ194 7", + "sel ves", + "ment ary", + "im ated", + "Ġthem selves", + "Ġl ay", + "Ġb rand", + "ĠQue ens", + "ĠD er", + "Ġt arg", + "l av", + "rup t", + "Ġpro posed", + "Ġch arg", + "Ġn orm", + "9 8", + "Ġfor t", + "ut s", + "Ġro om", + "Ġb ring", + "Ġepis odes", + "Ġn ative", + "ĠR et", + "Ġc er", + "Ġ195 2", + "Ġr ate", + "ĠFor m", + "ĠB oth", + "ĠO nt", + "Ġindividual s", + "ĠW orks", + "ĠB and", + "eng er", + "Ġgradu ated", + "Ġassist ant", + "Ġ3 6", + "m ore", + "e ch", + "ut t", + "ur ies", + "Ġp ra", + "Ġl og", + "ĠB ab", + "Ġwinn er", + "Ġform s", + "Ġcult ural", + "p ose", + "Ġde part", + "ĠPri ze", + "Ġ195 5", + "Ġc ities", + "itt ing", + "Ġsur face", + "Ġc hem", + "he w", + "ĠPr ime", + "j i", + "Ġoffer ed", + "ĠE arth", + "ĠJ on", + "Ġv en", + "a is", + "Ġdel iver", + "ph ia", + "ĠCol or", + "Ġm erg", + "er b", + "Ġhe avy", + "ĠB oy", + "ĠTown ship", + "ĠT ay", + "ous ly", + "ĠT od", + "es ota", + "Ġexecut ive", + "Ġon line", + "ed d", + "9 7", + "Ġs pl", + "Ġpre vent", + "ĠJe ff", + "ĠBo oks", + "Ġm arriage", + "Ġmean ing", + "ĠPre mier", + "angu ages", + "A r", + "Ġad j", + "/ /", + "Ġt able", + "enn es", + "ĠL es", + "ĠRou te", + "Ġnewsp aper", + "ĠN ether", + "ĠM ir", + "ĠMinist ry", + "Ġsepar ate", + "Ġs ociety", + "Ġd yn", + "vers e", + "Ġcons ists", + "ound s", + "ell ig", + "ĠS em", + "ĠD ist", + "Ġfif th", + "c i", + "ion e", + "ĠNot able", + "per or", + "ĠEliz abeth", + "ou ra", + "Ġb ridge", + "ĠJ es", + "ĠB ell", + "Ġpe ak", + "ĠE st", + "ic ted", + "ĠAnt on", + "I S", + "Ġto day", + "ĠMinn esota", + "ro vers", + "Ġsuc ceed", + "Ġ ess", + "ĠB ol", + "adel phia", + "Ġexper ience", + "ĠBase ball", + "ran e", + "Ġf ail", + "Ġserv e", + "f it", + "ĠP ubl", + "Ġcond itions", + "Ġvari ety", + "ĠJust ice", + "Ġcomp l", + "Ġb rief", + "it ude", + "Ġf oot", + "h y", + "ĠTor onto", + "Ġlab el", + "Ġtransfer red", + "k er", + "u ated", + "3 4", + "Ġtem per", + "ess ion", + "Ġcandid ate", + "Ġb order", + "m as", + "Ġs ource", + "ĠH uman", + "ron ic", + "ic ine", + "ĠOnt ario", + "Ġhousehold s", + "res p", + "Ġpart n", + "ran ce", + "Ġmain ly", + "Ġmov ie", + "al og", + "ĠSqu ad", + "ĠSup reme", + "Ġalong side", + "ĠH ind", + "ĠA ut", + "z y", + "ĠM ike", + "Ġdes pite", + ": //", + "ĠCh ap", + "Ġsc ulpt", + "Ġrequ ire", + "ĠL em", + "in ct", + "Ġal ways", + "ĠS om", + "a ult", + "ĠReg ion", + "ĠB ad", + "ĠB orn", + "ĠL ew", + "ĠL ight", + "ĠN ations", + "ĠT ok", + "ĠB a", + "ĠSong s", + "ric s", + "Ġpart ies", + "we ight", + "e v", + "Ġ194 9", + "Ġ195 4", + "u ing", + "Ġoper ation", + "Ġiss ued", + "Ġdou ble", + "ic ks", + "ĠPro gram", + "Ġ( ,", + "ĠI d", + "an th", + "ĠW el", + "attal ion", + "Ġpo or", + "b it", + "n es", + "3 1", + "ĠAn other", + "Ġext ended", + "sec ut", + "Ġb r", + "Ġdem on", + "ort heast", + "Ġme chan", + "ĠAn th", + "Ġpl ans", + "Ġf ace", + "ĠD un", + "Ġprov ides", + "ĠC E", + "ĠA ff", + "Ġsold iers", + "Ġm akes", + "Ġart icle", + "Ġturn ed", + "Ġinflu ence", + "R A", + "Ġ8 0", + "Ġdef eat", + "Ġrespons ible", + "Ġsil ver", + "bour ne", + "Ġd one", + "Ġro w", + "Ġj un", + "Ġs n", + "ĠHar ris", + "Ġ195 3", + "ĠA h", + "Ġarr ived", + "ra ine", + "ĠStep hen", + "er land", + "ill ed", + "Ġfeat uring", + "ĠB rad", + "Ġh ar", + "ĠMex ican", + "Ġdiffic ult", + "ĠPhil adelphia", + "w orth", + "ĠSt adium", + "Ġr ugby", + "che stra", + "os a", + "Ġst ories", + "Ġnear by", + "8 5", + "Ġm aster", + "Ġspe ed", + "ons in", + "Ġun ivers", + "Ġex cept", + "Ġa thlet", + "pt on", + "ĠSt at", + "ĠAir port", + "ĠA v", + "Ġcap ac", + "ĠCh art", + "l ers", + "Ġc orn", + "Ġhon or", + "ĠPak istan", + "om ot", + "isc onsin", + "ĠT ai", + "av en", + "ri f", + "writ er", + "b ass", + "ĠSant a", + "ĠNether lands", + "Ġparticip ated", + "Ġo il", + "ag on", + "Ġres idents", + "at ively", + "ĠC rit", + "Ġ7 0", + "Ġs aying", + "m ission", + "Ġwinn ers", + "av a", + "Ġmanag ed", + "Ġst ay", + "Ġf ellow", + "e ction", + "Ġadminist rative", + "ĠK ir", + "ĠD am", + "l ight", + "ob ile", + "Ġelect ric", + "p on", + "Ġorig in", + "b a", + "Ġcon stitu", + "ĠMed ia", + "Ġdiscover ed", + "Ġm ight", + "um ed", + "und red", + "Ġcover ed", + "rop ical", + "ĠRev olution", + "ĠProfess or", + "ĠBr ig", + "Ġren amed", + "Ġs urn", + "n s", + "or g", + "ĠInd ones", + "Ġback ground", + "Ġmunicip al", + "8 6", + "ĠW isconsin", + "Ġlik ely", + "ĠH o", + "Ġcont ra", + "d is", + "ĠCh ris", + "Ġin h", + "ĠA venue", + "Ġrec ent", + "ĠGu ard", + "Ġmusic ians", + "ĠPe ak", + "ĠR ome", + "Ġ195 1", + "Ġpar ish", + "4 4", + "Ġele ments", + "ĠC ub", + "Ġto ld", + "ig en", + "ran ge", + "qu arters", + "ac hel", + "Ġv an", + "an cy", + "Ġas ked", + "Ġg un", + "Ġ +", + "igh ter", + "Ġconstru cted", + "Ġcon fl", + "ĠPr im", + "Ġproble ms", + "ĠTechn ology", + "ĠK im", + "Ġ ult", + "Ġfinal ly", + "ow a", + "7 6", + "ĠS us", + "Ġhe art", + "ĠS her", + "Ġle ave", + "Ġo ur", + "oc ks", + "est abl", + "Ġn ature", + "emet ery", + "Ġneigh bor", + "ir med", + "ĠP ers", + "ke e", + "Ġpro gress", + "Ġprodu cts", + "ĠMus lim", + "ĠCamb ridge", + "ĠL i", + "Ġth r", + "Ġp ick", + "ctor al", + "we gian", + "Ġhe re", + "or ation", + "ĠInd ust", + "ot o", + "Ġimp act", + "Ġnear ly", + "ĠFore st", + "Ġdr ug", + "Ġp aper", + "ĠDu ke", + "ĠB ishop", + "Ġc ause", + "5 5", + "Ġp age", + "Ġen ough", + "Ġp ath", + "g ing", + "Ġw anted", + "ĠL ady", + "Ġsub s", + "m et", + "Ġde ad", + "am ber", + "Ġmedal ists", + "w ick", + "ĠSl ov", + "per ial", + "ĠLeg isl", + "r im", + "Ġreve aled", + "ap ed", + "Ġarchite cture", + "ĠEx p", + "ĠP u", + "Ġra ces", + "ric t", + "ĠC a", + "Ġne cess", + "Ġch ampion", + "Ġsec urity", + "n ic", + "s s", + "ĠCommun ity", + "ist ance", + "Ġdirect ly", + "ens ity", + "Ġsol o", + "ĠSt r", + "g et", + "Ġv oice", + "ĠWil son", + "3 2", + "Ġp it", + "epend ence", + "ins on", + "ĠPro ject", + "Ġadd ress", + "Ġsus p", + "ĠS ab", + "ĠP ower", + "orn ing", + "ĠAdm inist", + "Ġl ives", + "Ġan cient", + "Ġlead ers", + "Ġ193 6", + "Ġminist er", + "ĠCorpor ation", + "Ġoffic ially", + "Ġincre asing", + "Ġcy cl", + "Ġproject s", + "ĠCol on", + "ĠMed ical", + "ĠMar g", + "L e", + "l iving", + "Ġdis play", + "Ġprim arily", + "Ġr ural", + "ad ing", + "ĠBar b", + "Ġadminist ration", + "en ge", + "9 4", + "van ced", + "ou d", + "Ġcondu cted", + "Ġinit i", + "Ġfriend s", + "Ġlevel s", + "ĠH ay", + "ang a", + "roll ed", + "Ġpos itive", + "en ing", + "Ġs port", + "Ġmount ain", + "ens is", + "e cted", + "ĠD ar", + "ĠNor wegian", + "Ġc ard", + "ĠSwed en", + "S S", + "ĠF air", + "Ġch ap", + "ĠI ra", + "in ity", + "Ġl y", + "i at", + "ĠM oh", + "ĠF ire", + "ĠL t", + "Ġinit ial", + "yd ro", + "ĠV ideo", + "ĠSh ort", + "ul ly", + "Ġacadem ic", + "ĠIndian a", + "ĠGold en", + "uc ky", + "Ġp an", + "ĠF le", + "Ġ9 0", + "e en", + "Ġp p", + "ĠMount ain", + "ĠW inn", + "Ġf irm", + "ĠM un", + "ak i", + "Ġch annel", + "Ġdis p", + "ĠBibl iography", + "Ġs ources", + "Ġrepl ace", + "bo ok", + "ĠWin ter", + "Ġwho le", + "ĠAr thur", + "Ġlist ing", + "Ġwork ers", + "Ġ193 8", + "ĠSc iences", + "Ġlet ter", + "cript ion", + "Ġnum bers", + "ĠR ad", + "ribut ed", + "ĠN iger", + "Ġconsid er", + "ĠAl f", + "ĠPl ace", + "Ġm ic", + "Ġval ue", + "ĠDes ign", + "ĠRe view", + "ĠB udd", + "Ġde ep", + "ĠS u", + "L A", + "Ġlaw s", + "ur ches", + "ĠH u", + "em y", + "ed om", + "ĠK ansas", + "ant a", + "ĠAl so", + "Ġliter ature", + "Ġwhe ther", + "Ġremov ed", + "th ing", + "ĠL ive", + "Ġ19 18", + "g al", + "he im", + "Ġs al", + "ĠMar ia", + "Ġwith d", + "A l", + "Ġded icated", + "el d", + "i est", + "ĠGe ography", + "ĠCap tain", + "ĠU s", + "port un", + "ert o", + "ĠDe p", + "Ġsy n", + "Ġg rew", + "ony m", + "Ġd omin", + "Ġw ords", + "ĠBar on", + "F F", + "Ġplann ed", + "ĠPopul ated", + "ĠPolit ical", + "r ical", + "Ġst ars", + "ĠJun ior", + "ĠRes ults", + "7 8", + "Ġnot able", + "Ġeffect s", + "ĠUS A", + "Ġsh are", + "je cted", + "ĠU t", + "Ġk ind", + "it ter", + "e z", + "ic ed", + "Ġr ule", + "ĠMiss ouri", + "p resent", + "Ġd ark", + "E C", + "Ġcomp uter", + "Ġp iano", + "Ġorder ed", + "ĠTay lor", + "Ġreg ist", + "Ġsettle ment", + "ath an", + "ĠM aster", + "resp ond", + "ĠH an", + "Ġprom inent", + "ik a", + "M A", + "Ġsp read", + "ĠR ugby", + "Ġcontin ue", + "ĠB ridge", + "is hes", + "ĠP it", + "ĠColor ado", + "reg on", + "y al", + "Ġrec over", + "ab les", + "rest ling", + "Ġref le", + "ĠFranc is", + "Ġun s", + "res h", + "se x", + "ell er", + "ĠE P", + "ag ing", + "Ġv ac", + "O S", + "Ġ3 4", + "Ġvot es", + "for ce", + "Ġsc ene", + "Ġfollow s", + "Ġwe ap", + "Ġdire ction", + "tern et", + "il ton", + "6 6", + "g reg", + "ĠSte ve", + "ĠR em", + "ist ed", + "Ġmix ed", + "Ġto uch", + "Ġb ranch", + "Ġhost ed", + "Ġext ra", + "ĠCon ne", + "Ġd igital", + "Ġg as", + "Ġre form", + "Ġl anguages", + "ĠW alk", + "Ġg reen", + "Ġart icles", + "Ġrul es", + "Ġpot ential", + "Ġ193 7", + "Ġim plement", + "Ġre ason", + "hen s", + "Ġint ended", + "Ġp urs", + "Ġill ust", + "ĠStud ies", + "Ġcons erv", + "en es", + "g n", + "hem at", + "Ġn ation", + "Ġan g", + "z ona", + "enn a", + "ĠRepresent atives", + "Ġhistor ic", + "Ġ era", + "3 9", + "ĠCast le", + "ĠC irc", + "y ard", + "ĠL ind", + "ĠE arl", + "Ġtri al", + "ul ated", + "Ġdiv ided", + "ĠG ree", + "Ġcapac ity", + "Ġide a", + "ĠM ember", + "Ġ ut", + "ĠN az", + "g rad", + "Ġcol or", + "Ġfor ward", + "ropol itan", + "Ġt al", + "Ġtit led", + "ograph ic", + "n ce", + "Ġrespect ively", + "Ġfl oor", + "Ġdestroy ed", + "Ġtit les", + "Ġtreat ment", + "Ġs oc", + "ĠO regon", + "ol es", + "ĠJ os", + "Ġass igned", + "ĠK al", + "ĠMar sh", + "Ġengine er", + "ĠK el", + "Ġ6 4", + "20 10", + "it led", + "ĠF e", + "Ġtown s", + "7 7", + "g g", + "ill ery", + "ur d", + "ĠTur key", + "ĠWar s", + "ĠMal ays", + "ĠP ier", + "Ġin side", + "Ġp arliament", + "or al", + "ap ore", + "ĠFred er", + "ĠH al", + "ĠR om", + "ly n", + "k h", + "ĠZ h", + "Ġag ric", + "ix ed", + "% )", + "Ġbas is", + "Ġd ance", + "Ġactiv ity", + "6 5", + "Ġsem i", + "Ġnov els", + "Ġre pe", + "and on", + "Ġcompos er", + "Ġbeh av", + "200 7", + "Ġun known", + "Ġreview s", + "Ġsit es", + "ĠE th", + "Ġ. ..", + "ĠBrazil ian", + "ĠComm and", + "Ġc ounter", + "re al", + "c ow", + "iv ity", + "Ġgrow th", + "b ec", + "Ġcle ar", + "Ġst reet", + "ĠDav is", + "Ġcont rovers", + "Ġmet al", + "ĠCon f", + "Ġfem ales", + "ĠP ass", + "b u", + "M S", + "Ġeffort s", + "Ġpurch ased", + "Ġp al", + "Ġpl ants", + "Ġbecom es", + "ennes see", + "b ell", + "Ġmov ing", + "Ġp et", + "Ġup per", + "ĠBro ok", + "ĠCon c", + "ĠAtl antic", + "ear s", + "Ġcont est", + "Ġprodu ce", + "iz es", + "ĠCount ry", + "Ġfe el", + "ĠSt and", + "ast y", + "ĠT al", + "ĠBe ach", + "ĠC re", + "ĠB all", + "Ġfac ilities", + "Ġl ies", + "ĠAri zona", + "a ud", + "ĠG reg", + "un ct", + "em an", + "Ġquest ion", + "ĠPhilipp ines", + "Ġcer em", + "ĠT a", + "ian t", + "it o", + "200 9", + "ĠN ic", + "ad ed", + "Ġtyp es", + "Ġequip ment", + "ĠFore ign", + "Ġcapt ured", + "I A", + "ĠF ree", + "Ġprodu ct", + "f ort", + "Ġsmall er", + "Ġatt end", + "est ic", + "Ġquick ly", + "Ġst ore", + "Ġy et", + "ĠK r", + "b ro", + "w ater", + "Ġhigh ly", + "200 0", + "e k", + "Ġle aves", + "ĠSe ver", + "Ġcont act", + "Ġcitiz ens", + "Ġ5 00", + "ĠS on", + "ar p", + "ound ed", + "Ġform at", + "b les", + "Ġdocument ary", + "Ġ4 4", + "Ġest ate", + "ast ic", + "st yle", + "ĠT ennessee", + "Ġimmedi ately", + "Ġ( ;", + "ĠLe on", + "ren ce", + "Ġorgan ized", + "if orm", + "Ġaccept ed", + "Ġs umm", + "ĠMar c", + "Ġg re", + "b ed", + "ed ia", + "k in", + "ipl om", + "w atch", + "Ġop portun", + "ĠNor way", + "j an", + "Ġcon ver", + "ĠM as", + "a ug", + "20 11", + "ef e", + "ĠS ri", + "Ġm ax", + "Ġown er", + "ul ed", + "Ġcon ference", + "Ġfl ight", + "Ġr at", + "ĠC as", + "ian g", + "s ky", + "ur er", + "Ġ193 5", + "ĠN etwork", + "Ġ19 19", + "Ġphys ical", + "Ġfav or", + "Ġfac ulty", + "Ġro les", + "200 6", + "g ers", + "o is", + "200 8", + "Ġst ra", + "Ġsy mb", + "Ġaut om", + "Ġb ronze", + "er c", + "Ġdecl ared", + "ĠMary land", + "amb ig", + "Ġconf irmed", + "Ġsoft ware", + "se y", + "am i", + "ĠC ra", + "ĠS av", + "Ġmot or", + "Ġte acher", + "Ġchar ge", + "Ġre ach", + "ol n", + "Ġcommon ly", + "ĠUk raine", + "Ġpos itions", + "ann a", + "Ġaff ili", + "Ġg overnor", + "Ġ19 14", + "Ġhous ing", + "Ġoper ating", + "ĠHigh way", + "Ġv s", + "ĠO d", + "Ġ3 3", + "eat her", + "ĠB at", + "ĠBe fore", + "Ġprogram ming", + "Ġper man", + "Ġbe at", + "im al", + "Ġh tt", + "Ġstre ng", + "ĠIra q", + "U n", + "ĠS ources", + "Ġele v", + "am in", + "ce st", + "Ġcomp ared", + "r ate", + "ĠFor mer", + "Ġcom es", + "h at", + "ĠBack ground", + "ĠSing apore", + "Ġterrit ory", + "ĠFed eration", + "are t", + "Ġab ility", + "ĠMod ern", + "Ġagre ement", + "Ġd istricts", + "b s", + "Ġcom ment", + "Ġtarg et", + "ĠK l", + "CA A", + "Ġst one", + "Ġ19 10", + "ĠM emorial", + "Ġfound er", + "ĠR oss", + "ĠL iter", + "Ġw a", + "Ġp op", + "ĠDe c", + "Ġsw im", + "ellig ence", + "Ġ19 17", + "Ġg iving", + "ag a", + "ĠD or", + "Ġagre ed", + "ĠF ox", + "Ġatt ention", + "ĠCh ile", + "Ġmod els", + "ar c", + "Ġappro ach", + "Ġengine ering", + "5 8", + "Ġn ucle", + "9 3", + "inc ial", + "vent h", + "ĠH or", + "Ġcamp us", + "ĠO cean", + "ĠS ound", + "S P", + "Ġpe ace", + "ĠE ach", + "m ad", + "west ern", + "igh th", + "du ce", + "Ġlead ership", + "Ġinstitut ions", + "Ġw alk", + "Ġatt ra", + "Ġc ars", + "od ies", + "S C", + "ap h", + "Ġl if", + "Ġap art", + "ript ion", + "Ġ192 8", + "Ġy ards", + "Ġest imated", + "Ġel im", + "z o", + "ĠB ru", + "igr ants", + "ol i", + "Ġse ats", + "Ġth ink", + "Ġoccur red", + "Ġbl ood", + "ĠR en", + "un te", + "Ġw ing", + "ĠW at", + "ambig uation", + "op her", + "ĠD iv", + "ĠEnter tain", + "ĠH art", + "ĠS port", + "Ġg ained", + "ad er", + "200 5", + "Ġneed ed", + "ot i", + "Ġch airman", + "Ġmed ian", + "ĠPhil ip", + "Ġ x", + "Ġact ing", + "ĠF a", + "ĠLew is", + "Ġsuffer ed", + "Ġcon clud", + "Ġdise ase", + "Ġfig ure", + "Ġadop ted", + "Ġrec on", + "Ġb ad", + "ĠB os", + "ĠMel bourne", + "Ġfl ag", + "Ġ192 9", + "Ġs ens", + "Ġcr ime", + "in us", + "Ġc oin", + "ed er", + "we alth", + "Ġdist ribution", + "Ġserv es", + "ĠT s", + "5 00", + "ĠMos cow", + "ĠT en", + "Ġst ream", + "Ġp oll", + "Ġent er", + "it ness", + "Ġf ell", + "ul s", + "Ġan alysis", + "H L", + "ĠPro duction", + "rain ian", + "Ġcomb ined", + "im inal", + "l ah", + "Ġcomm ittee", + "Ġjournal ist", + "' ,", + "s pe", + "Ġ3 8", + "ĠT est", + "ans ion", + "Ġcont ent", + "Ġcor respond", + "Ġj oint", + "T A", + "ĠAb b", + "ag h", + "or ter", + "ĠSe ason", + "Ġqu ality", + "Ġcan cer", + "Ġv ess", + "Ġpre c", + "20 12", + "200 4", + "ing ham", + "Ġ193 3", + "Ġpolit ics", + "ĠSt ock", + "y es", + "Ġres ident", + "Ġ193 4", + "ĠCro at", + "or ph", + "anc ing", + "Ġra re", + "ĠSpr ing", + "S h", + "ost er", + "ĠAb d", + "Ġcont emporary", + "ĠEngine ering", + "Ġproble m", + "ugu ese", + "ol id", + "ast ers", + "Ġ urban", + "Ġperforman ces", + "Ġtyp ically", + "A n", + "Ġh abit", + "y ond", + "al o", + "ĠR ound", + "p et", + "Ġret ire", + "pl ace", + "Ġmention ed", + "eth ing", + "Ġofficial s", + "l aw", + "Ġnomin ated", + "ĠHe art", + "Ġb ig", + "Ġindust rial", + "9 1", + "Ġcom ing", + "Ġun c", + "ib ly", + "ĠH ard", + "ash ion", + "ĠB on", + "Ġh undred", + "Ġf iction", + "id i", + "w orks", + "Ġpres ence", + "Ġl abor", + "ov i", + "ĠTurk ish", + "Ġbl ue", + "ĠQueens land", + "ĠKh an", + "ĠV o", + "p ass", + "Ġeduc ated", + "ant e", + "9 2", + "it i", + "w ing", + "Ġex c", + "g ar", + "Ġh or", + "20 13", + "ir al", + "ĠJew s", + "ĠH ou", + "ol ved", + "v ard", + "Ġf ast", + "l i", + "id ers", + "is a", + "ĠAdd ition", + "V ID", + "Ġpr in", + "il ing", + "ic ian", + "ĠB alt", + "Ġcol umn", + "hed ral", + "Ġco al", + "g i", + "Ġlarg ely", + "Ġresult ed", + "dis ambiguation", + "Ġrecogn ized", + "osoph y", + "ot ed", + "Ġprob ably", + "ĠI owa", + "ĠAust ria", + "m outh", + "Ġe c", + "Ġ ir", + "ak s", + "ĠG il", + "ĠAr k", + "ĠCommon wealth", + "for mer", + "Ġab andon", + "Ġ192 4", + "Ġb oy", + "Ġdam age", + "d a", + "Ġres erv", + "ĠR ang", + "p son", + "Ġm iles", + "Ġcon cent", + "ĠKent ucky", + "Ġh op", + "ĠBro ther", + "os en", + "ĠO t", + "Ġbur ied", + "ĠE c", + "Ġc ab", + "u ate", + "Ġpaint ing", + "Ġschol ar", + "ĠD own", + "ĠB ah", + "v o", + "ĠC ab", + "Ġc am", + "ĠSports people", + "Ġwid ely", + "act er", + "Ġsc oring", + "G B", + "Ġexp anded", + "5 6", + "Ġc ode", + "Ġ19 00", + "Ġvill ages", + "z h", + "Ġar ts", + "Ġex pected", + "Ġrank ed", + "ol is", + "Ġ193 2", + "Ġ3 7", + "Ġsex ual", + "ĠEntertain ment", + "Ġclass ical", + "Ġsports people", + "Ġb ra", + "ĠSquad ron", + "ĠK itt", + "Ġnew ly", + "Ġrec omm", + "Ġident ified", + "ĠHar ry", + "Ġm m", + "Ġcrit ical", + "Ġf elt", + "Ġgr anted", + "Ġm ill", + "Ġdef end", + "ĠAre a", + "oc ese", + "iqu es", + "ar o", + "ĠC ape", + "Ġp ict", + "u i", + "form ed", + "ain e", + "cl es", + "Ġse arch", + "ĠWal ter", + "Ġsecond ary", + "ĠBel g", + "Ġ rom", + "Ġf ish", + "Ġad apt", + "Ġsqu are", + "ĠH ur", + "ĠManag ement", + "ĠT ony", + "ĠD anish", + "ĠG i", + "Ġcou ple", + "Ġdr ums", + "Ġstar ring", + "Ġal le", + "m itted", + "ro g", + "us ion", + "ĠL ike", + "Ġlos ing", + "Ġb illion", + "Ġwe ight", + "Ġconc ert", + "20 14", + "k es", + "se ason", + "ĠSw iss", + "l ast", + "Ġs ales", + "Ġt aught", + "t ing", + "il ation", + "Ġcre ation", + "Ġcond ition", + "Ġre duced", + "Ġm ess", + "ett ing", + "ĠViet nam", + "ĠN ick", + "Ġco aches", + "Ġdist ance", + "Ġthe atre", + "vi ation", + "Ġcomm ander", + "Ġpress ure", + "8 7", + "Ġresult ing", + "Ġw ild", + "Ġ192 7", + "Ġb al", + "Ġpre mier", + "or ship", + "Ġthere fore", + "Ġoff ers", + "ĠCO VID", + "0 5", + "ĠR on", + "itz erland", + "i ot", + "ĠInf antry", + "ĠProfess ional", + "ĠPort uguese", + "S T", + "Ġcap tain", + "200 3", + "ĠG ord", + "ĠRec ord", + "cl aim", + "ĠReg ional", + "Ġinstr ument", + "ĠS ix", + "Ġlo an", + "oc ated", + "ĠTh rough", + "ĠT an", + "Ġ19 12", + "p ur", + "Ġsp ons", + "4 1", + "ĠAm ong", + "Ġsec ret", + "20 15", + "ĠSim on", + "ĠUk rainian", + "ĠA st", + "ĠB eng", + "ĠSe le", + "Ġt im", + "ĠT reat", + "m es", + "Ġtw ice", + "Ġauthor ities", + "ĠAl b", + "ĠH and", + "Ġrec ently", + "al ing", + "Ġarrest ed", + "ĠF inn", + "Ġsurn ame", + "V D", + "Ġ193 1", + "4 2", + "ad s", + "Ġstr ugg", + "ict ional", + "orn ey", + "h o", + "ĠN ik", + "Ġyoung er", + "Ġform ation", + "p a", + "I C", + "ĠN CAA", + "Ġpre p", + "Ġinj ury", + "ord in", + "Ġbeg ins", + "ĠL abor", + "um es", + "ĠAr men", + "i pe", + "Ġformer ly", + "Ġ192 2", + "ĠBul g", + "Ġra cing", + "ym n", + "0 7", + "Ġatt acks", + "Ġg raph", + "ĠH ans", + "ĠD rag", + "Ġvers ions", + "Ġw all", + "ĠGree ce", + "m iss", + "ĠI l", + "lah oma", + "ĠSt aff", + "0 6", + "Ġfin ish", + "ĠIsrael i", + "ĠAff airs", + "ĠPl an", + "Ġth ous", + "Ġsurround ing", + "Ġprov iding", + "ĠG er", + "ĠAn ne", + "ĠArch ite", + "Ġcrit ics", + "ĠPh ys", + "ay er", + "ĠSpace watch", + "Ġrest aur", + "Ġdis establ", + "b ra", + "os is", + "Ġc e", + "Ġser ious", + "0 8", + "m ont", + "re ll", + "ĠA ud", + "ĠRe al", + "Ġ192 1", + "ĠTok yo", + "ĠAl i", + "Ġvoc al", + "200 1", + "Ġt ree", + "Ġpat tern", + "as ion", + "Ġknow ledge", + "ĠBill board", + "p ool", + "ĠMill er", + "Ġ192 5", + "b i", + "ĠBe c", + "Ġshow ed", + "ĠK at", + "T C", + "ĠTr ust", + "Ġob tained", + "Ġstat istics", + "Ġc arri", + "ĠJac ob", + "Ġspl it", + "ĠN ap", + "Ġreg ions", + "Ġinte g", + "Ġ192 6", + "ann ing", + "ĠBet ween", + "og ue", + "ĠG ab", + "Ġp aid", + "ĠOr iginal", + "Ġrece ive", + "ain ts", + "ĠSw itzerland", + "ĠD omin", + "Ġl ibrary", + "inc oln", + "Ġtra ins", + "iv als", + "ĠMan chester", + "ograp her", + "g ro", + "ĠHol y", + "ĠP ict", + "ĠTh ird", + "ĠAl ab", + "Ġb ow", + "Ġf estival", + "ĠJan e", + "ru it", + "ĠEm peror", + "ĠAnd erson", + "Ġpro pos", + "p ri", + "or i", + "ĠSen ior", + "Ġnot es", + "ĠChrist mas", + "Ġc ells", + "ug al", + "Ġdesign ated", + "ĠOk lahoma", + "ĠBuild ings", + "Ġsp ring" + ] + } +} \ No newline at end of file diff --git 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l", + "ros s", + "Ġ1 3", + "Ġl ife", + "Ġare a", + "im es", + "ir d", + "Ġst art", + "ĠC al", + "ĠA f", + "Ġor gan", + "r is", + "duc ed", + "Ġop en", + "Ġf eat", + "are d", + "ĠSt ate", + "re t", + "f l", + "Ġg ame", + "ag es", + "Ġd if", + "v ent", + "res ident", + "Ġr un", + "k et", + "u es", + "Ġfilm s", + "l ed", + "ro p", + "Ġpro du", + "p art", + "Ġ1 1", + "ar m", + "et y", + "Ġm en", + "Ġ201 0", + "Ġcl ass", + "ograph y", + "Ġ2 1", + "y le", + "Ġex t", + "ap an", + "il t", + "eb ru", + "Ġs m", + "lev ision", + "ebru ary", + "Ġpubl ic", + "un g", + "ĠK ing", + "ĠI I", + "Ġst ate", + "Ġsy stem", + "ĠP ar", + "Ġl ong", + "Ġo b", + "ual ly", + "Ġd r", + "ar ch", + "ĠB ro", + "f ul", + "Ġf inal", + "Ġc areer", + "il it", + "n er", + "ĠH is", + "Ġs ame", + "ul ar", + "an c", + "a use", + "Ġcall ed", + "am b", + "vi ew", + "Ġfollow ing", + "ĠF ebruary", + "in c", + "z e", + "ov e", + "y n", + "Ġret urn", + "Ġf in", + "on y", + "Ġc ity", + "Ġw ill", + "iv ision", + "ĠEuro pe", + "ĠS w", + "a f", + "h ip", + "Ġch ild", + "r at", + "al es", + "ak ing", + "Ġsever al", + "Ġcomm un", + "ren ch", + "il ity", + "Ġw omen", + "re nt", + "oin t", + "ĠM ed", + "or ks", + "ĠJ apan", + "s p", + "an ge", + "ch n", + "ial ly", + "c om", + "c on", + "ure d", + "Ġl ist", + "Ġs uc", + "ĠGe or", + "p ed", + "Ġe arly", + "Ġa ir", + "ĠB ar", + "Ġcont in", + "Ġ '", + "Ġto wn", + "Ġcomp et", + "Ġcl ub", + "ĠE l", + "Ġm in", + "Ġres ult", + "h am", + "ib le", + "1 2", + "ĠA nd", + "ĠH ar", + "ĠH istory", + "is ed", + "al ly", + "Ġs ince", + "ic es", + "ain s", + "st er", + "19 9", + "ĠThe y", + "ĠP art", + "b o", + "r ing", + "Ġn ear", + "ang u", + "Ġn amed", + "Ġorig inal", + "end ed", + "u ed", + "ĠCh rist", + "at a", + "Ġhe ad", + "ĠA b", + "1 6", + "Ġb el", + "Ġdis c", + "Ġpl ace", + "ĠF rench", + "id ed", + "i ence", + "Ġ201 1", + "ĠRe p", + "Ġc ur", + "Ġbe gan", + "il le", + "Ġt it", + "Ġus e", + "iv al", + "an e", + "re en", + "Ġpro gram", + "ĠU S", + "Ġv ill", + "Ġm ember", + "Ġm embers", + "1 5", + "Ġp rom", + "Ġhe ld", + "Ġan y", + "Ġl and", + "ĠCom p", + "Ġb ased", + "ain t", + "ĠR es", + "ĠM c", + "Ġthe se", + "Ġcomp le", + "b le", + "Ġap p", + "m e", + "Ġsup port", + "oun c", + "ĠAf ric", + "al ity", + "Ġg overnment", + "r ight", + "Ġ200 8", + "ĠR uss", + "Ġm et", + "Ġ201 2", + "Ġw e", + "ĠR o", + "a ugh", + "Ġ19 0", + "ĠA ir", + "Ġestabl ished", + "i ous", + "Ġal ong", + "Ġe ff", + "t he", + "Ġ ,", + "ĠE ast", + "ĠCh ampionship", + "Ġdesc rib", + "T he", + "in ess", + "Ġen g", + "ition s", + "ĠC ollege", + "Ġp ass", + "ĠWill iam", + "ĠG en", + "an a", + "od e", + ". .", + "Ġd ist", + "pe ct", + "al th", + "ad em", + "Ġ200 9", + "Ġloc ated", + "ur g", + "u k", + "ĠThe re", + "at or", + "ical ly", + "ĠH er", + "or m", + "ac ed", + "Ġd id", + "Ġl aw", + "in o", + "Ġc ol", + "Ġo cc", + "Ġchar act", + "che s", + "f ord", + "ĠAr t", + "c ol", + "at s", + "i en", + "ubl ic", + "ĠP eople", + "Ġp os", + "Ġy ou", + "Ġ201 3", + "ond on", + "ĠN e", + "oci ation", + "ĠIt al", + "Ġ200 6", + "Ġ200 7", + "Ġh ouse", + "Ġe ach", + "t o", + "ĠH igh", + "ing ton", + "ore d", + "Ġ201 4", + "ro w", + "Ġ201 6", + "Ġserv ed", + "our t", + "ĠF ilm", + "Ġto ok", + "qu e", + "Ġs im", + "k y", + "Ġ X", + "1 4", + "ĠRe c", + "Ġb and", + "Ġt r", + "Ġst ation", + "Ġh ome", + "ĠD istrict", + "Ġb us", + "av ing", + "ĠS y", + "ĠIn ternational", + "Ġb orn", + "Ġg ames", + "Ġn ational", + "m ed", + "ly mp", + "i et", + "ĠA c", + "Ġin st", + "Ġ201 5", + "re w", + "er g", + "Ġpro fess", + "in ed", + "Ġ201 8", + "ight s", + "p s", + "Ġcomp any", + "Ġl ine", + "Ġp erson", + "1 3", + "ĠO lymp", + "Ġpopul ation", + "Ġm ajor", + "Ġ18 9", + "ac es", + "our n", + "Ġ20 20", + "ĠD av", + "ill ion", + "ĠL iving", + "ĠL ondon", + "Ġ201 7", + "ĠSe c", + "Ġs l", + "Ġb as", + "Ġj oin", + "Ġsm all", + "Ġle g", + "Ġloc al", + "ĠInd ian", + "ĠL a", + "ard s", + "Ġv ari", + "Ġrece ived", + "Ġde b", + "Ġev ent", + "Ġ2 5", + "Ġgen eral", + "Ġman ag", + "Ġpubl ished", + "Ġte levision", + "ĠC up", + "et t", + "Ġcent ury", + "ĠN ot", + "ilit ary", + "s ide", + "et er", + "Ġ3 0", + "at ure", + "Ġ201 9", + "Ġsing le", + "Ġbu ilt", + "ĠS up", + "Ġv i", + "ĠPh il", + "a ul", + "Ġd ue", + "Ġc ould", + "Ġv ers", + "ĠH owever", + "Ġ $", + "Ġap pro", + "ar ge", + "Ġw orld", + "Ġspec ies", + "ar a", + "Ġc olle", + "um n", + "Ġsuc cess", + "ie f", + "ounc il", + "Ġp o", + "v ers", + "Ġst r", + "in t", + "Ġa round", + "ord ing", + "if ied", + "ĠA ng", + "uth or", + "id es", + "at ely", + "om in", + "ĠG l", + "Ġo ld", + "Ġed uc", + "ĠT r", + "arri ed", + "ĠL ist", + "ĠN o", + "Ġt erm", + "is on", + "ro l", + "ĠC or", + "um mer", + "Ġa ge", + "ff ic", + "l ing", + "ĠT ra", + "ĠH ouse", + "Ġhe l", + "Ġal ign", + "Ġe p", + "ord s", + "e f", + "oc ial", + "ĠP ark", + "r ation", + "Ġp resent", + "ĠP re", + "Ġle ft", + "Ġl ast", + "Ġs ix", + "ĠE n", + "Ġh istory", + "Ġn ow", + "i od", + "a im", + "Ġs aid", + "ĠS an", + "Ġt y", + "Ġ200 0", + "Ġrep resent", + "re et", + "a us", + "id d", + "ra ft", + "t t", + "Ġd ied", + "Ġplay er", + "op h", + "Ġ 0", + "Ġre st", + "1 1", + "Ġc amp", + "iz ation", + "ĠD uring", + "Ġc ar", + "Ġl a", + "um b", + "angu age", + "Ġto p", + "ne y", + "Ġp ar", + "ĠB r", + "on es", + "Ġvill age", + "Ġwith in", + "ĠM ich", + "Ġd et", + "iv en", + "Ġst yle", + "Ġf ive", + "Ġ200 5", + "Ġt ri", + "Ġn orth", + "Ġsh ort", + "Ġ2 4", + "v an", + "ĠR oy", + "Ġor der", + "ide o", + "Ġ18 8", + "Ġd ay", + "in k", + "ĠD es", + "o ks", + "et her", + "u f", + "Ġdescrib ed", + "ak es", + "s c", + "ow s", + "ur ther", + "19 8", + "ent ly", + "Ġth ird", + "Ġbuild ing", + "al k", + "Ġinclud e", + "ĠR iver", + "Ġinclud ed", + "Ġp ost", + "um ent", + "Ġd own", + "ast er", + "if orn", + "ĠP er", + "Ġdif fer", + "d ay", + "he m", + "ĠA g", + "Ġchild ren", + "Ġre port", + "ur s", + "ĠEng land", + "c o", + "ĠCh ar", + "Ġ202 1", + "att le", + "Ġre f", + "vi ous", + "Ġre qu", + "ĠS ch", + "ĠA ct", + "n a", + "er a", + "feren ce", + "Ġbec ause", + "ke y", + "t ain", + "iforn ia", + "Ġad m", + "ĠB y", + "th ough", + "Ġann oun", + "Ġl arge", + "Ġcons id", + "iv ely", + "re g", + "ĠG ro", + "ĠM al", + "Ġs outh", + "g round", + "Ġs on", + "ĠAustral ia", + "Ġ200 4", + "ic o", + "Ġd em", + "rid ge", + "ri end", + "Ġd istrict", + "ĠCal ifornia", + "l er", + "col or", + "Ġst and", + "ĠP ort", + "ĠB ra", + "Ġm ark", + "ĠM on", + "os p", + ". ,", + "use um", + "ct ure", + "Ġar ch", + "Ġp ower", + "inn ing", + "Ġst at", + "Ġbo ok", + "uc k", + "od y", + "ĠY ou", + "ĠPart y", + "en cy", + "Ġl o", + "Ġdeath s", + "ri pt", + "Ġ202 2", + "Ġc rit", + "ad io", + "it er", + "part ment", + "land s", + "in ing", + "Ġw ar", + "con om", + "um an", + "Ġappe ar", + "Ġc or", + "ĠD em", + "Ġm ale", + "Ġl arg", + "k a", + "Ġis s", + "ĠR oman", + "re st", + "Ġ18 6", + "Ġj ust", + "ist er", + "Ġ2 2", + "Ġre pl", + "ĠB el", + "c er", + "al d", + "al f", + "Ġw ater", + "Ġserv ice", + "g ed", + "Ġper iod", + "Ġn on", + "Ġper form", + "Ġadd ition", + "n ess", + "Ġres p", + "v es", + "Ġk ill", + "am ent", + "oci ety", + "ĠA nt", + "Ġde p", + "ee k", + "Ġv is", + "he l", + "our s", + "e le", + "Ġre fer", + "ĠS m", + "a ff", + "er ing", + "ĠO ne", + "Ġmov ed", + "ĠA ward", + "en se", + "Ġc r", + "ĠE m", + "Ġdiffer ent", + "iz e", + "Ġcur rent", + "ĠAustral ian", + "Ġro und", + "Ġl ike", + "ot e", + "rib ut", + "5 0", + "ĠAr my", + "Ġ2 3", + "Ġinc re", + "om b", + "Ġm illion", + "Ġl ed", + "k i", + "l ine", + "ĠN or", + "p ar", + "Ġt rad", + "Ġbus iness", + "am a", + "ĠA cc", + "t al", + "av y", + "her n", + "ĠM inist", + "Ġan other", + "Ġth ose", + "o on", + "Ġh istor", + "ĠR ober", + "op s", + "o f", + "Ġsh ip", + "Ġ18 7", + "Ġe qu", + "Ġst ill", + "and er", + "Ġ if", + "Ġf ather", + "Ġ el", + "Ġf ield", + "Ġw est", + "ĠJ ames", + "Ġd el", + "ĠInd ia", + "Ġex per", + "Ġa uthor", + "i ber", + "ĠM or", + "ĠSt e", + "d e", + "ep end", + "Ġf ac", + "c hed", + "iv il", + "Ġact iv", + "Ġh and", + "Ġcomp os", + "ĠCh urch", + "ĠM usic", + "Ġbe st", + "ĠGen eral", + "ĠFran ce", + "Ġp ort", + "Ġk m", + "o x", + "Ġannoun ced", + "Ġin ternational", + "Ġdeb ut", + "stru ction", + "Ġtit le", + "Ġcount ry", + "d om", + "ĠQ u", + "Ġs old", + "Ġf em", + "ĠTh om", + "Ġw in", + "as es", + "Ġ200 3", + "v ille", + "Ġ( )", + "Ġestabl ish", + "ĠY ear", + "19 7", + "u el", + "Ġcharact er", + "Ġe ast", + "Ġpolit ic", + "ĠGeor ge", + "ĠD ivision", + "f ield", + "un icip", + "us h", + "Ġs ide", + "c ast", + "Ġp at", + "Ġd ra", + "b e", + "ĠRoy al", + "Ġc ult", + "ourn al", + "ĠA p", + "an ish", + "re ad", + "Ġn ov", + "Ġa v", + "g color", + "Ġpre vious", + "ĠM ount", + "g in", + "Ġm ake", + "ĠEurope an", + "Ġ very", + "ri es", + "a el", + "ĠQ ue", + "ĠP e", + "ort hern", + "Ġa ward", + "ĠCl ub", + "ĠCanad ian", + "Ġset t", + "ug g", + "ĠAc adem", + "Ġele ction", + "Ġpro ject", + "ip p", + "l in", + "le x", + "ĠP al", + "Ġam ong", + "m s", + "ap p", + "ab or", + "Ġw orks", + "ĠV al", + "ĠG r", + "Ġ2 6", + "ĠCanad a", + "Ġ200 2", + "ĠE le", + "i us", + "ĠR ich", + "Ġf r", + "al ign", + "Ġro le", + "g es", + "Ġpro duced", + "ĠW hen", + "w ork", + "ĠP aul", + "Ġf e", + "Ġm ag", + "pl oy", + "for man", + "Ġle vel", + "ĠB u", + "o ff", + "Ġof ten", + "ol ution", + "Ġa ff", + "Ġl ate", + "Ġs pe", + "Ġre ad", + "Ġw eb", + "a pe", + "ĠDav id", + "ĠC ouncil", + "Ġth ough", + "Ġinv ol", + "Ġre se", + "Ġb gcolor", + "ĠF ootball", + "Ġp e", + "Ġ199 0", + "it ar", + "st on", + "at ch", + "Ġwrit ten", + "Ġex pl", + "Ġ2 8", + "Ġ2 7", + "or ies", + "im ent", + "ĠL ou", + "Ġeng ine", + "Ġf ore", + "ĠH ol", + "Ġep is", + "ĠAss ociation", + "Ġ es", + "stit ute", + "Ġad v", + "b ack", + "Ġte chn", + "ac ks", + "Ġ200 1", + "ĠW ith", + "b an", + "ĠR ed", + "Ġstart ed", + "Ġev en", + "ĠD r", + "umn i", + "Ġyou ng", + "Ġp oss", + "Ġall ow", + "o le", + "em pt", + "Ġcl os", + "iv id", + "o e", + "ro te", + "Ġm arried", + "it or", + "Ġg rad", + "ĠR ail", + "v al", + "Ġc ame", + "Ġoffic ial", + "Ġin it", + "Ġc over", + "Ġim port", + "ĠP resident", + "Ġcre ated", + "ĠAmer ica", + "ou ther", + "Ġw ent", + "form ation", + "Ġg iven", + "Ġs ite", + "Ġto tal", + "ol ic", + "g y", + "ir c", + "ĠSt reet", + "al t", + "Ġst ru", + "Ġe very", + "ĠF irst", + "Ġt urn", + "outher n", + "Ġcommun ity", + "y a", + "ĠF rom", + "ĠS ing", + "er ation", + "w est", + "oin ted", + "ĠSt ud", + "3 0", + "Ġjoin ed", + "ra p", + "om et", + "Ġv al", + "Ġeff ect", + "ĠH istor", + "it te", + "ĠK h", + "Ġra il", + "ot s", + "Ġpolit ical", + "Ġch ang", + "Ġwork ed", + "Ġwh at", + "Ġp res", + "Ġcon c", + "i j", + "Ġvari ous", + "ir on", + "Ġf re", + "Ġdevelop ment", + "ag o", + "ber t", + "ĠS en", + "ree k", + "ĠT own", + "Ġcon f", + "pos ed", + "s ite", + "ĠT rans", + "b or", + "ir l", + "Ġpro cess", + "m a", + "Ġ1 00", + "Ġt w", + "Ġv ideo", + "e al", + "Ġprofess ional", + "Ġele ct", + "her s", + "Ġf act", + "Ġm ilitary", + "ĠS l", + "ac hed", + "' t", + "ĠUn ion", + "Ġvers ion", + "at ic", + "olog ical", + "at ri", + "ĠGerman y", + "op e", + "re am", + "ĠGro up", + "Ġm uch", + "s elf", + "Ġpro te", + "Ġprodu ction", + "Ġh aving", + "Ġne xt", + "Ġcomm on", + "Ġb re", + "Ġcl aim", + "Ġbec ome", + "Ġspec ial", + "Ġg r", + "h old", + "ĠM art", + "Ġs ent", + "ĠH en", + "Ġm iss", + "Ġh ost", + "ĠB er", + "og n", + "Ġs w", + "ĠJ e", + "h ib", + "ĠV ir", + "ĠM ary", + "ĠM ag", + "Ġ198 0", + "ĠS er", + "ĠRo ad", + "o or", + "Ġus ing", + "ĠW e", + "Ġp ri", + "ĠBl ack", + "ĠAr ch", + "Ġ [", + "Ġdire ct", + "Ġreturn ed", + "ĠMe x", + "19 6", + "Ġw rote", + "Ġint ro", + "ĠP ri", + "Ġs it", + "Ġp resident", + "Ġpr im", + "m en", + "Ġt em", + "ĠItal ian", + "ĠM y", + "ĠJapan ese", + "Ġ199 9", + "est s", + "Ġ2 9", + "Ġg l", + "ĠAfric an", + "in ation", + "ĠT ur", + "Ġpos ition", + "Ġmat ch", + "h a", + "Ġan t", + "ict ion", + "ĠL aw", + "Ġdire ctor", + "i ography", + "m ing", + "ĠH all", + "oin ts", + "Ġteam s", + "Ġt ake", + "ĠW omen", + "Ġm ult", + "Ġch urch", + "Ġsong s", + "fl u", + "ĠThe se", + "Ġopen ed", + "Ġper forman", + "B C", + "ct s", + "il ar", + "ĠComm un", + "ĠW ash", + "ĠPro v", + "ivid ual", + "Ġf ew", + "Ġev ents", + "id a", + "Ġf un", + "ell ow", + "ĠG ames", + "Ġbe h", + "se qu", + "ĠS am", + "ĠRober t", + "arl iam", + "Ġv ol", + "ak en", + "ib r", + "itt le", + "ĠRuss ian", + "ĠLe g", + "an i", + "ent ion", + "e ad", + "ĠCh ina", + "oc rat", + "u le", + "ĠB est", + "l o", + "arliam ent", + "ar ian", + "g er", + "C A", + "ĠSc ott", + "2 1", + "Ġt imes", + "t ra", + "Ġst ory", + "Ġs ol", + "ĠO ther", + "ec ut", + "Ġpart icip", + "Ġw ay", + "Ġv oc", + "Ġfootball ers", + "y ing", + "ri an", + "Ġalbum s", + "ĠAcc ording", + "augh ter", + "Ġbe g", + "Ġh ig", + "ĠM ad", + "est ed", + "ĠC ap", + "ĠPl ay", + "un t", + "Ġf riend", + "Ġ199 8", + "ĠWash ington", + "it z", + "ĠC ourt", + "n ing", + "ic le", + "Ġatt ack", + "ket ball", + "ĠM iss", + "Ġro ad", + "stit ut", + "our ces", + "itte e", + "il es", + "an ies", + "Ġim p", + "Ġadm inist", + "ĠC ast", + "Ġpopul ar", + "Ġbro ther", + "Ġne ed", + "Ġwith out", + "ĠComp any", + "is l", + "ĠC ont", + "ĠThom as", + "at ter", + "Ġserv ices", + "ra g", + "an ces", + "a ur", + "Ġreg ion", + "end ing", + "Ġp ract", + "ĠS erv", + "Ġstud ents", + "idd le", + "Ġs k", + "Ġs ocial", + "od es", + "ĠC ath", + "Ġt er", + "ĠM en", + "ers hip", + "ĠS al", + "e x", + "wo od", + "ĠK n", + "a ign", + "Ġh alf", + "Ġbro ad", + "y ear", + "2 2", + "Ġg reat", + "Ġf ull", + "r ated", + "Ġcontin ued", + "Ġ197 0", + "Ġl ost", + "ĠA wards", + "ĠKing dom", + "ain ing", + "ĠCent ral", + "ĠS ociety", + "ac y", + "c raft", + "Ġco ach", + "y m", + "Ġm id", + "ĠM ont", + "ĠG rand", + "Ġal umni", + "ĠO p", + "us ed", + "Ġeduc ation", + "ra b", + "Ġrese arch", + "are nt", + "Ġ199 6", + "Ġatt empt", + "Ġs qu", + "Ġd ays", + "is ing", + "Ġh owever", + "ĠI r", + "b urg", + "Ġse e", + "ĠCh in", + "ens us", + "ĠRec ords", + "Ġprom ot", + "ap er", + "ĠM useum", + "4 0", + "Ġcomple ted", + "on a", + "Ġpro duc", + "Ġele cted", + "Ġapp ointed", + "ĠA lex", + "at ors", + "ĠChar les", + "ill s", + "ĠFl or", + "Ġcom b", + "ĠIs land", + "Ġinv est", + "Ġind ust", + "Ġin f", + "Ġ ident", + "est ival", + "in i", + "ĠD on", + "cent er", + "Ġpart y", + "ĠM et", + "Ġfound ed", + "Ġcont rol", + "Ġdire cted", + "ĠE duc", + "ĠCent er", + "Ġrecord ed", + "ĠTe x", + "Ġl im", + "Ġa ver", + "ific ation", + "u it", + "Ġr ight", + "ĠI m", + "r d", + "Ġ199 7", + "Ġsign ed", + "ĠE arly", + "Ġw ife", + "Ġe conom", + "ĠS ummer", + "amp le", + "l ess", + "Ġp oints", + "ber g", + "Ġpro per", + "Ġle ague", + "w h", + "as ons", + "Ġgroup s", + "Ġare as", + "2 3", + "Ġre view", + "Ġ18 5", + "Ġ /", + "ĠDe partment", + "Ġb ase", + "n el", + "Ġconsid ered", + "ish ing", + "ĠS im", + "Ġcon ne", + "Ġra ce", + "r ay", + "ĠAng el", + "ĠWest ern", + "Ġ202 3", + "ĠO ffic", + "Ġp oint", + "ĠJ ew", + "pl ay", + "Ġh on", + "ĠC he", + "Ġpart ic", + "Ġse le", + "at ural", + "ĠFran c", + "Ġre n", + "Ġf ind", + "Ġf urther", + "ĠV ict", + "j e", + "Ġm ar", + "= #", + "ĠT o", + "Ġc oll", + "ĠT V", + "Ġrel ations", + "ĠIn stitute", + "Ġc aus", + "ar ies", + "Ġv ict", + "ĠG old", + "ĠAcadem y", + "ĠLou is", + "ell s", + "Ġsim ilar", + "ĠOlymp ics", + "il i", + "Ġde g", + "ĠB ay", + "th let", + "Ġh old", + "ĠMich ael", + "Ġind ividual", + "way s", + "Ġto g", + "Ġre al", + "Ġpr iv", + "ĠG reat", + "Ġvi ew", + "ĠM ac", + "Ġweb site", + "Ġ z", + "id ence", + "ĠZ eal", + "Ġt en", + "ĠP ress", + "Ġtog ether", + "Ġ199 5", + "u ation", + "um p", + "Ġrele ase", + "ra in", + "ĠP at", + "ĠC ong", + "ĠZeal and", + "Ġ199 2", + "ric k", + "Ġin flu", + "ot a", + "ĠVir gin", + "ĠV ol", + "Ġreport ed", + "ĠChrist ian", + "Ġc ase", + "Ġappe ared", + "ĠM us", + "ĠRep ublic", + "ĠM er", + "ĠU K", + "et work", + "Ġ199 4", + "| |", + "ar ter", + "ar th", + "Ġs ports", + "Ġoff ice", + "ĠSp anish", + "ĠChin ese", + "Ġm other", + "ou l", + "ed eral", + "ĠAfric a", + "Ġtra ck", + "ĠK ore", + "m ar", + "Ġw eek", + "2 5", + "Ġ3 1", + "c ks", + "ĠT om", + "Ġ5 0", + "Ġm y", + "Ġk e", + "i que", + "Ġme et", + "Ġnov el", + "Ġcon d", + "Ġbir th", + "Ġdevelop ed", + "en c", + "Ġform ed", + "Ġin s", + "Ġh ous", + "it ive", + "y d", + "ak er", + "Ġ196 0", + "it ing", + "Ġmed al", + "ĠB ur", + "Ġhel p", + "Ġa ut", + "ĠCar ol", + "Ġgu itar", + "ad es", + "Ġla un", + "Ġass ist", + "ĠB en", + "Ġph ot", + "ĠIn ter", + "ĠT er", + "ul a", + "k n", + "ĠD an", + "ap t", + "Ġwork ing", + "e h", + "du ction", + "Ġd oc", + "Ġar r", + "Ġm aking", + "Ġimport ant", + "Ġto urn", + "c le", + "ĠG reen", + "i ers", + "Ġarch ite", + "ĠH am", + "ĠTex as", + "ail ed", + "ud e", + "re land", + "Ġart ist", + "Ġc ast", + "ĠWh ite", + "ĠP et", + "Ġgro w", + "ed y", + "Ġm unicip", + "Ġap pl", + "Ġg ood", + "im ately", + "it ted", + "ĠWh ile", + "ĠD el", + "Ġv ot", + "b and", + "ĠP ublic", + "Ġof fer", + "t a", + "id ing", + "ĠK e", + "ĠB as", + "c ial", + "ĠS ports", + "g o", + "Ġl ess", + "Ġtrad ition", + "Ġschool s", + "m on", + "ert ain", + "ic les", + "ĠMinist er", + "r as", + "ĠJ ose", + "Ġl ive", + "id ae", + "al a", + "ĠC ons", + "Ġd ata", + "ro ll", + "one y", + "it her", + "Ġph ys", + "Ġf und", + "Ġ199 3", + "ĠDem ocrat", + "Ġty p", + "Ġother s", + "ens ive", + "Ġh uman", + "Ġsh ould", + "Ġd aughter", + "ol a", + "ĠT or", + "ab ly", + "epend ent", + "at ives", + "Ġem ploy", + "Ġro ck", + "Ġd i", + "Ġgro und", + "ĠP eter", + "osp ital", + "Ġre v", + "ĠFran k", + "Ġrec ogn", + "Ġm ater", + "Ġhim self", + "Ġst ar", + "overn or", + "all s", + "v iron", + "Ġbuild ings", + "Ġde cl", + "Ġ =", + "re y", + "ĠCath olic", + "ĠM el", + "ĠS ong", + "ut y", + "ĠRich ard", + "le g", + "Ġr ul", + ") :", + "Ġac ross", + "az ine", + "Ġav ail", + "Ġf ire", + "Ġcomp anies", + "ĠS ur", + "g en", + "h i", + "ic ation", + "ĠSw ed", + "19 5", + "al y", + "ĠB ill", + "Ġb ody", + "p ite", + "s y", + "en a", + "ate g", + "ol f", + "Ġan im", + "ant ed", + "Ġcamp aign", + "Ġst ations", + "and ing", + "at re", + "Ġl anguage", + "sh ire", + "m ost", + "ri a", + "Ġe ight", + "19 4", + "um e", + "Ġdo es", + "ĠW il", + "b our", + "Ġaver age", + "ĠM ass", + "ĠL u", + "ĠU p", + "ĠF ore", + "Ġm ot", + "Ġ199 1", + "ce ed", + "Ġbl ack", + "Ġqu al", + "Ġex ist", + "Ġbec om", + "ĠPar is", + "ĠSec ond", + "Ġplay ing", + "ut es", + "ric ket", + "o ice", + "ra el", + "ĠL at", + "Ġt ro", + "g ress", + "Ġmod ern", + "Ġl ow", + "ĠHen ry", + "em or", + "Ġdef e", + "ĠSup er", + "ĠVict or", + "he ast", + "19 3", + "Ġh ow", + "ĠS ant", + "Ġepis ode", + "Ġ18 4", + "Ġp aint", + "st ro", + "Ġc le", + "Ġ et", + "ĠC ro", + "Ġgrad u", + "o res", + "S t", + "z il", + "Ġst age", + "Ġd ivision", + "Ġd ram", + "Ġex ample", + "Ġd er", + "ĠGeor g", + "Ġc ross", + "em ents", + "Ġ4 0", + "w rit", + "ud d", + "Ġr adio", + "ad a", + "Ġne ver", + "Ġl iving", + "air s", + "ĠD ire", + "Ġperform ed", + "h ood", + "Ġf oc", + "ĠL os", + "Ġfem ale", + "emb ly", + "ch ie", + "oc key", + "and id", + "Ġw inn", + "eth od", + "ĠH on", + "Ġl ight", + "ĠS ome", + "Ġse par", + "Ġart ists", + "Ġbel ie", + "ĠRe v", + "Ġf ree", + "ĠSm ith", + "Ġpolitic ian", + "Ġac qu", + "ĠP enn", + "Ġass oci", + "w are", + "ĠOr der", + "Ġf ight", + "t ime", + "ur a", + "ent ial", + "Ġcont ract", + "ov iet", + "2 4", + "ĠChampionship s", + "ĠL ake", + "ĠB ut", + "ibr ary", + "ough t", + "Ġstr ong", + "ign ed", + "Ġsuccess ful", + "Ġmon ths", + "ĠF C", + "Ġre d", + "Ġkill ed", + "at ory", + "im ate", + "Ġfin ished", + "ĠEduc ation", + "av al", + "Ġpl aces", + "id ents", + "Ġcon struction", + "ĠCh ic", + "he ad", + "pe ople", + "k ed", + "ĠI reland", + "ĠO l", + "Ġg ave", + "Ġestablish ments", + "Ġ198 8", + "ĠC amp", + "Ġm us", + "av es", + "ĠG o", + "Ġavail able", + "ĠDe f", + "Ġcon du", + "Ġa way", + "Ġgo al", + "Ġ198 9", + "v a", + "Ġperforman ce", + "if f", + "ell ing", + "ĠO b", + "ĠS aint", + "Ġt re", + "Ġal though", + "id s", + "ĠP an", + "as c", + "ish op", + "Ġpro t", + "Ġbo oks", + "ran ch", + "il ities", + "viron ment", + "it a", + "ĠS pec", + "Ġj ournal", + "an o", + "Ġin formation", + "Ġ ide", + "ĠD ay", + "ad o", + "inal s", + "z a", + "ic ated", + "ĠFilm s", + "he re", + "ĠOlymp ic", + "Ġd am", + "ĠC ur", + "Ġt aken", + "ĠV ill", + "ĠW in", + "ĠNot es", + "le ft", + "ell a", + "Ġcap t", + "it ch", + "i qu", + "ĠBra zil", + "ĠIs rael", + "ĠD u", + "ific ant", + "Ġshow s", + "Ġfollow ed", + ", \"", + "Ġr ank", + "o o", + "Ġag re", + "ĠR ob", + "ĠC areer", + "Ġto ur", + "ug by", + "Ġc ost", + "Ġm ix", + "ĠVirgin ia", + "Ġhe alth", + "Ġfr ont", + "Ġj ud", + "om a", + "ĠG overnment", + "Ġinclud es", + "Ġaward ed", + "Ġc irc", + "ut ch", + "Ġtourn ament", + "Ġc our", + "ĠM a", + "ĠL ife", + "ĠM in", + "\" |", + "Ġfeat ures", + "ig an", + "Ġ :", + "ĠJ ust", + "I I", + "Ġvi ol", + "Ġoriginal ly", + "Ġdesign ed", + "s erv", + "ĠT our", + "ĠAt l", + "Ġhouse hold", + "ĠH ill", + "ag ed", + "nd er", + "n y", + "i os", + "Ġac cess", + "Ġmater ial", + "ĠTe am", + "Ġse ven", + "se c", + "Ġs en", + "ve y", + "Ġc ourt", + "ĠE mp", + "e g", + "ĠC arl", + "ĠIt s", + "ĠM r", + "Ġim pro", + "Ġp ut", + "om s", + "Ġc ivil", + "Ġrel ig", + "2 6", + "Ġrem ained", + "ĠP erson", + "ĠHistor ic", + "Ġs ound", + "ĠAr ts", + "Ġs il", + "ist an", + "Ġstud y", + "Ġl ab", + "en ed", + "ĠG all", + "ĠR ock", + "Ġon ce", + "ĠG ra", + "2 7", + "Ġfeat ured", + "Ġin j", + "Ġd ou", + "ĠRail way", + "er ous", + "ar ia", + "ĠS qu", + "Ġfor ces", + "atri ate", + "Ġsc ored", + "ĠL and", + "ur ity", + "Ġc y", + "Ġ ill", + "om m", + "Ġt est", + "Ġ #", + "Ġp ress", + "ac hes", + "Ġ198 7", + "ol k", + "Ġb ar", + "ĠChic ago", + "2 8", + "he st", + "it es", + "Ġmark et", + "Ġbas ketball", + "ip le", + "Ġde v", + "Ġre b", + "Ġsing er", + "Ġsign ificant", + "ĠM o", + "ach ing", + "ap s", + "il ies", + "Ġpl an", + "end er", + "Ġex ecut", + "r or", + "ĠS oviet", + "ic ations", + "re l", + "Ġlead ing", + "Ġtra ining", + "em s", + "ĠSc ot", + "v in", + "Ġpol ice", + "Ġmed ia", + "ĠFor ce", + "Ġe arn", + "ver t", + "ĠS ub", + "y e", + "ic y", + "Ġ195 0", + "ĠM il", + "C h", + "Ġm ount", + "Ġlarg est", + "Ġr ights", + "ĠS ir", + "ear ch", + "ĠComm ission", + "augh t", + "ĠT wo", + "ĠItal y", + "m ier", + "A mer", + "ĠS o", + "ĠPro fess", + "Ġ198 6", + "our ce", + "Ġm ust", + "Ġair craft", + "Ġst ri", + "ĠM od", + "Ġmod el", + "ut er", + "ĠMex ico", + "Ġ198 4", + "Ġch art", + "Ġen c", + "y p", + "Ġs em", + "ĠCl ass", + "ĠI ll", + "Ġthrough out", + "ĠPol it", + "Ġl iter", + "ist ics", + "ĠP arliament", + "Ġg old", + "Ġtrans fer", + "Ġcons ist", + "v ing", + "ĠS ince", + "ĠMar k", + "Ġinvol ved", + "Ġc ou", + "ĠC at", + "Ġlist ed", + "Ġsub sequ", + "ord er", + "Ġst ated", + "ien ces", + "Ġwh ite", + "ĠO ff", + "ĠAn n", + "Ġw id", + "un k", + "Ġbo ard", + "s el", + "Ġintro duced", + "Ġrepl aced", + "ĠIr ish", + "Ġs ugg", + "ann el", + "Ġe arl", + "Ġse en", + "Ġcompet ition", + "Ġb i", + "Ġ18 3", + "un s", + "ĠE r", + "ĠProv ince", + "ĠFlor ida", + "Ġc andid", + "Ġd iv", + "if t", + "6 0", + "2 9", + "Ġtrans l", + "ĠN avy", + "ĠM ur", + "Ġ198 5", + "Ġwrit er", + "Ġevent ually", + "Ġpriv ate", + "Ġv ia", + "Ġresp ons", + "rib ution", + "ut ure", + "ĠTe chn", + "Ġcrit ic", + "Ġresult s", + "Ġent ire", + "u ff", + "Ġvoc als", + "c her", + "Ġab le", + "u z", + "um m", + "ĠD o", + "te xt", + "Ġr an", + "Ġadd ed", + "ret ary", + "ĠAl though", + "Ġc ollege", + "ĠD en", + "Ġpro ble", + "ĠO per", + "ĠComm ittee", + "ĠF estival", + "Ġfour th", + "ĠS il", + "o ch", + "Ġp ast", + "Ġcount ries", + "ĠF in", + "as k", + "ĠB us", + "ro ad", + "A S", + "el t", + "ĠW ales", + "c ript", + "Ġw ind", + "ĠAngel es", + "y r", + "ĠO ver", + "Ġcent ral", + "Ġst e", + "Ġact ress", + "m b", + "uf act", + "Ġsur v", + "as ing", + "ul arly", + "Ġa ud", + "Ġwrit ers", + "u a", + "ian o", + "Ġcomm and", + "Ġass ociation", + "Ġle ast", + "m in", + "Ġres pect", + "i res", + "ĠBro wn", + "ĠE v", + "Ġl oss", + "yl van", + "Amer ican", + "Ġsp ace", + "por ary", + "Ġs er", + "A R", + "ĠSc ience", + "ĠO ut", + "mer cial", + "8 0", + "ĠN orthern", + "Ġun its", + "ĠM ost", + "ab ility", + "f ic", + "ĠR h", + "Ġn omin", + "ĠF ound", + "ĠSt ar", + "ĠRuss ia", + "Ġm inist", + "Ġs ch", + "b b", + "ok e", + "ĠU k", + "ĠG od", + "r up", + "Ġdeg ree", + "i ro", + "ĠCong ress", + "ĠCarol ina", + "Ġst aff", + "Ġdisc over", + "Ġ198 3", + "Ġr ange", + "Ġst ates", + "ib l", + "ĠAr g", + "ri al", + "Ġcl ose", + "ĠR os", + "Ġdoc ument", + "ra w", + "ĠJ un", + "Ġbroad cast", + "n ow", + "Ġf ig", + "Ġab ove", + "pl es", + "Ġre ached", + "med i", + "g ian", + "l or", + "Ġc ensus", + "ĠServ ice", + "st e", + "ant ic", + "Ġpl ant", + "ĠCol umb", + "ĠL iber", + "ĠE s", + "ĠC r", + "Ġch ange", + "erv e", + "T V", + "Ġprov ided", + "ĠJose ph", + "ĠO h", + "Ġse asons", + "Ġt reat", + "Ġcurrent ly", + "oy s", + "Ġex hib", + "ĠO ld", + "i ents", + "b ur", + "rough t", + "Ġg et", + "Ġcont ribut", + "Ġexp ress", + "ylvan ia", + "l im", + "Ġp ur", + "Ġe ither", + "Ġf av", + "Ġ( \"", + "Ġch ampionship", + "r ative", + "ĠS a", + "f ace", + "Ġtra vel", + "or por", + "Ġac cept", + "Ġpl aced", + "u x", + "sy ch", + "Ġmiss ing", + "Ġup on", + "ĠF re", + "al ed", + "F A", + "Ġrail way", + ") ;", + "bo ard", + "ĠS eries", + "Ġs aw", + "ad ium", + "Ġinter est", + "st ant", + "ian a", + "Ġstru ct", + "ĠC am", + "F L", + "ĠP ac", + "ab it", + "ist ic", + "ip l", + "Ġ198 2", + "Ġcent er", + "Ġm ur", + "w ell", + "Ġk ey", + "Ġ !", + "Ġa ction", + "ĠAss embly", + "a ut", + "ĠF ort", + "ĠD ou", + "Ġocc ur", + "ed s", + "Ġty pe", + "ĠM os", + "cept ion", + "Ġp ot", + "ĠM ic", + "kn own", + "p ly", + "is es", + "Ġc op", + "ĠF urther", + "ĠF ollow", + "Ġn ight", + "Ġa chie", + "ig er", + "g l", + "ĠS k", + "Ġd u", + "ĠR am", + "Ġatt ended", + "Ġ197 9", + "stit ution", + "Ġle arn", + "ĠM ill", + "Ġcharact ers", + "ĠB re", + "l anguage", + "ĠB attle", + "ĠA rab", + "Ġse x", + "ubl ican", + "ay ing", + "ĠM at", + "az z", + "Ġcap ital", + "p ress", + "ĠP opul", + "et te", + "Ġme as", + "Ġdec ided", + "ĠM ain", + "ĠW ood", + "Ġf if", + "l am", + "i h", + "ĠM ajor", + "ĠT ro", + "ele b", + "Ġar g", + "Ġdec ision", + ". )", + "ult ural", + "Ġprevious ly", + "Ġdra w", + "ĠRes earch", + "eng th", + "ar ily", + "ĠEmp ire", + "ĠG reek", + "ĠF red", + "ult ure", + "c a", + "Ġst re", + "Ġde stro", + "Ġne igh", + "Ġ197 2", + "Ġlead er", + "Ġh om", + "d en", + "ĠDemocrat ic", + "g r", + "Ġappro x", + "am ily", + "Ġstud io", + "Ġse ction", + "er o", + "Ġus ually", + "Ġme an", + "ĠPenn s", + "Ġ197 6", + "or ing", + "Ġm ass", + "ĠS ol", + "Ġdefe ated", + "ĠOffic ial", + "ĠH a", + "Ġsing les", + "and a", + "Ġed ition", + "ĠMart in", + "u an", + "ĠD utch", + "Ġre ve", + "Ġocc up", + "ow ers", + "st ra", + "re me", + "ĠC le", + "ĠS un", + "p ing", + "ĠFollow ing", + "Ġkn ow", + "Ġg rand", + "Ġn atural", + "Ġinst ead", + "Ġeff ort", + "ĠMed al", + "ĠJ im", + "ĠScott ish", + "Ġp ain", + "Ġpo et", + "Ġact or", + "Ġr iver", + "ĠSp ain", + "ch an", + "Ġf arm", + "Ġp arent", + "Ġacc ount", + "il s", + "ig a", + "ĠS ocial", + "ĠPenns ylvania", + "Ġb ur", + "B A", + "or a", + "Ġsub ject", + "st r", + "c el", + "c ell", + "Ġ198 1", + "Ġw inning", + "Ġproduc er", + "ĠG ar", + "inc ip", + "ans as", + "ĠM embers", + "Ġinvest ig", + "Ġwh ose", + "ult y", + "ult s", + "Ġm ethod", + "ĠW al", + "um ents", + "Ġpl ann", + "Ġ197 8", + "ĠL ove", + "Ġpart s", + "ĠIn c", + "Ġact ive", + "Ġ197 4", + "Ġrepresent ed", + "in ent", + "ĠM ilitary", + "Ġmov ement", + "at o", + "Ġg e", + "ĠH ow", + "Ġprim ary", + "Ġprov ide", + "ĠAs ian", + "Ġfam ilies", + "Ġcult ure", + "Ġ196 8", + "ĠP ak", + "w an", + "Ġrelations hip", + "Ġplay s", + "9 0", + "ĠL ater", + "ĠF inal", + "b ased", + "Ġf ar", + "Ġp ark", + "ĠR adio", + "Ġsc ient", + "Ġorgan iz", + "pt ion", + "Ġpr ison", + "ĠJ ud", + "Ġde al", + "ĠLe e", + "Ġp red", + "Ġn orthern", + "Ġ194 0", + "Ġs outhern", + "Ġbeh ind", + "Ġp urch", + "ĠE p", + "pos ition", + "r ig", + "Ġt ax", + "ĠH ot", + "cl us", + "ĠT w", + "ar io", + "Ġ197 5", + "ug u", + "ĠC ross", + "l a", + "ĠI ran", + "ĠYou ng", + "ig ital", + "Ġmus ical", + "ĠBu ild", + "ad y", + "ens ion", + "Ġs ize", + "y er", + "ĠC ivil", + "ĠCh ief", + "Ġb ank", + "Ġl ik", + "7 0", + "omet imes", + "Ġ197 7", + "se e", + "ri e", + "Ġl ower", + "ĠB ul", + "ing u", + "ĠBo ard", + "w er", + "ĠB et", + ".. .", + "Ġgo als", + "isc o", + "ĠS ar", + "ĠSp ace", + "Ġb rought", + "ĠP ost", + "Ġread ing", + "Ġco ast", + "Ġnew sp", + "ĠB ig", + "ĠB ase", + "erg y", + "Ġout side", + "ĠL oc", + "Ġac adem", + "ĠH el", + "Ġs us", + "s k", + "ĠS outhern", + "ĠReg ister", + "\" )", + "n ot", + "Ġp ers", + "Ġcolle ction", + "Ġh ard", + "Ġorgan ization", + "im b", + "ar ing", + "Ġc ut", + "Ġ i", + "ĠC D", + "end s", + "ĠH aw", + "Ġr ather", + "all ed", + "ĠB ack", + "ers ey", + "Ġ197 3", + "Ġf all", + "m ark", + "Ġclos ed", + "a o", + "Ġindust ry", + "Ġrun s", + "Ġwrit ing", + "al i", + "Ġn etwork", + "Ġg irl", + "Ġend ed", + "N A", + "Ġc ricket", + "ĠJ ack", + "Ġman ufact", + "Ġc are", + "h an", + "Ġdram a", + "Ġk ing", + "ĠL uc", + "or se", + "Ġfor ce", + "Ġsh ot", + "ir m", + "Ġfootball er", + "Ġ193 0", + "ĠAd m", + "it an", + "Ġsystem s", + "anc ial", + "p an", + "at i", + "pec ially", + "he t", + "aw a", + "ĠO x", + "I D", + "ĠEd ward", + "ĠEng ine", + "ct ive", + "Ġh it", + "ĠL ong", + "Ġes c", + "ul ation", + "oun ter", + "Ġposs ible", + "Ġw ood", + "Ġim m", + "ĠVal ley", + "ĠR el", + "Ġreg ard", + "ĠU nder", + "ĠT ri", + "Ġ194 5", + "Ġmat ches", + "m ond", + "Ġallow ed", + "Ġstud ies", + "ĠV er", + "ĠU r", + "ĠS pr", + "ĠT imes", + "Ġne g", + "Ġal most", + "it ors", + "ĠRep ublican", + "Ġreg ular", + "Ġ196 9", + "ven ue", + "id er", + "Ġstru cture", + "Ġst op", + "in ary", + "Ġ197 1", + "Ġmag azine", + "ĠJew ish", + "em ic", + "ur b", + "Ġchang ed", + "Ġcomm ission", + "Ġfre qu", + "c ient", + "enn is", + "ĠTe levision", + "in ated", + "l ike", + "ĠJ ul", + "ent h", + "Ġc at", + "ĠB ob", + "back ground", + "ĠP o", + "ĠB ank", + "Ġd en", + "ĠMich igan", + "Ġis land", + "c ing", + "Ġpl at", + "Ġsett le", + "Ġsch ol", + "ĠD isc", + "Ġlaun ched", + "Ġb all", + "ĠM ah", + "Ġoper ations", + "it iz", + "ĠC amb", + "air man", + "ov ers", + "Ġw oman", + "ĠPl aces", + "velop ment", + "Ġbeg inning", + "ac ing", + "Ġperson al", + "ĠJ er", + "ĠO s", + "Ġter rit", + "k o", + "Ġto wards", + "3 5", + "on n", + "Ġte xt", + "i as", + "Ġtrans port", + "ĠMc C", + "Ġgen us", + "ĠA thlet", + "Ġown ed", + "Ġdet erm", + "Ġt aking", + "Ġn ar", + "Ġf ood", + "ĠOp en", + "Ġmanag er", + "et ts", + "Ġacc ording", + "e es", + "Ġ196 7", + "Ġc ases", + "ĠT im", + "Ġm er", + "ĠH ung", + "ĠHe alth", + "ip s", + "y an", + "Ġn ames", + "ak a", + "Ġind ependent", + "Ġcon stru", + "Ġwh om", + "Ġp ay", + "us band", + "ĠV i", + "ly ing", + "Ġ196 4", + "ol s", + "Ġsc ience", + "Ġf a", + "Ġrem ov", + "Ġoffic er", + "Ġc red", + "ĠPhil ipp", + "Ġ )", + "ĠOh io", + "ĠB h", + "Ġsc ore", + "st ate", + "ĠK ent", + "Ġapprox imately", + "ĠIn f", + "Ġmin or", + "Ġv eh", + "ĠT op", + "Ġob serv", + "ĠL ine", + "ĠF r", + "7 5", + "ĠUn ivers", + "Ġcomp let", + "Ġbre ak", + "ĠR ou", + "im a", + "ĠPol and", + "Ġfun ction", + "ib ility", + "ĠJ o", + "b ury", + "ino is", + "Ġe ver", + "Ġsc reen", + "b on", + "Ġconc ern", + "Ġsp ent", + "Ġar my", + "ĠG al", + "ĠArg ent", + "Ġaddition al", + "ct ing", + "g a", + "pe cted", + "Ġsqu ad", + "Ġ6 0", + "ĠD is", + "o id", + "Ġph il", + "ĠII I", + "ĠA re", + "o ir", + "Ġnot ed", + "in et", + "ĠScot land", + "ĠM ot", + "ĠG h", + "Ġs elf", + "Ġob ject", + "en ced", + "Ġcomple x", + "Ġbo x", + "ir a", + "Ġc eleb", + "amp ions", + "ĠT re", + "ach us", + "ĠL ord", + "if y", + "w w", + "Ġiss ues", + "Ġcount y", + "ĠPol ish", + "Ġ19 20", + "os h", + "il ed", + "Ġch ief", + "ĠB or", + "en ces", + "Ġsen ior", + "es h", + "k ing", + "ĠQue en", + "Ġc he", + "Ġmon th", + "Ġb attle", + ": #", + "Ġcom mercial", + "ost on", + "Ġl ived", + "Ġs ummer", + "Ġele ctions", + "4 5", + "Ġits elf", + "Ġd ate", + "Ġmult iple", + "Ġrel ated", + "uf fer", + "ĠPac ific", + "Ġs at", + "read y", + "Ġpolitic ians", + "Ġfoc us", + "Ġhig hest", + "Ġro ute", + "ĠNew s", + "Ġso on", + "ĠM att", + "ĠJ r", + "ĠIll inois", + "Ġtradition al", + "d own", + "Ġto o", + "Ġl ittle", + "Ġf uture", + "Ġle t", + "Ġqu est", + "Ġes pecially", + "ĠDire ctor", + "Ġhig her", + "Ġopen ing", + "ay a", + "ard en", + "Ġsup er", + "Ġlo ok", + "ĠE nd", + "Ġ196 5", + "um s", + "Ġm oney", + "Ġc al", + "ac her", + "ĠO k", + "ĠBrit ain", + "Ġrequ ired", + "ĠRep resent", + "achus etts", + "f ect", + "Ġinter view", + "Ġun ion", + "ĠCon ference", + "ĠD i", + "ĠJ ersey", + "Ġ196 6", + "bur gh", + "em porary", + "ĠS and", + "ĠGeorg ia", + "Ġen vironment", + "r ich", + "ad or", + "Ġed itor", + "ct ic", + "ob al", + "Ġcont ains", + "Ġappear ance", + "ĠC y", + "ĠAs ia", + "Ġbel ow", + "Ġ18 0", + "k ins", + "Ġproper ty", + "Ġpri or", + "ĠG overnor", + "ĠA z", + "19 0", + "ĠC olle", + "ĠL ab", + "ĠMass achusetts", + "Ġvict ory", + "h ouse", + "Ġme ans", + "Ġsele cted", + "Ġent ered", + "ch ange", + "on se", + "ĠB oston", + "ĠF er", + "Ġstud ied", + "d s", + "Ġpro f", + "ig r", + "p ut", + "Ġh usband", + "ĠL o", + "ĠBo ok", + "Ġpract ice", + "ĠEast ern", + "S A", + "Ġe mer", + "Ġsur round", + "Ġloc ation", + "al ys", + "st anding", + "Ġex am", + "ut en", + "Ġassoci ated", + "emor ial", + "ĠTh at", + "Ġun it", + "ĠC O", + "ĠJ ournal", + "vent ion", + "Ġm ission", + "Ġstruct ures", + "Ġb ass", + "Ġr ad", + "ĠHe ad", + "Ġmur der", + "Ġtr ade", + "j a", + "Ġ3 5", + "Ġd on", + "w a", + "Ġprofess or", + "ĠL ibrary", + "ĠColumb ia", + "ĠB ang", + "Ġc ertain", + "Ġcent re", + "ĠJ ac", + "Ġstand ard", + "Ġship s", + "ĠG re", + "F C", + "Ġret ired", + "op er", + "Ġse at", + "Ġad op", + "Ġearl ier", + "ĠPr ince", + "Ġar ran", + "Ġ ens", + "3 3", + "i i", + "Ġrun ning", + "Ġmanag ement", + "ĠM ore", + "Ġ er", + "Ġbecom ing", + "Ġd om", + "ĠJe an", + "Ġde partment", + "ĠG ame", + "w ith", + "ĠF ield", + "Ġstud ent", + "ry ing", + "Ġ194 4", + "ĠM P", + "Ġactiv ities", + "t ained", + "Ġso ft", + "Ġt rib", + "ĠThe atre", + "ĠJ ones", + "Ġclub s", + "Ġcom e", + "ĠWilliam s", + "Ġl ength", + "an ks", + "Ġem b", + "Ġmunicip ality", + "il a", + "Ġleg al", + "and ed", + "i y", + "al le", + "Ġcoll abor", + "ĠSt an", + "ail s", + "ig g", + "ĠDe velopment", + "Ġmed ical", + "Ġact ors", + "Ġs uffer", + "Ġcom edy", + "arri age", + "in em", + "N E", + "ĠM iddle", + "gy pt", + "ian ce", + "Ġleg isl", + "Ġinit ially", + "om y", + "ĠW eb", + "Ġqu arter", + "Ġcaus ed", + "9 9", + "ĠM any", + "Ġal ready", + "ad el", + "Ġs ometimes", + "Ġp ie", + "s en", + "b re", + "ĠS oc", + "Ġp en", + "Ġth us", + "Ġtra in", + "ĠCo ast", + "ĠFranc isco", + "ĠE conom", + "ĠV an", + "Ġdestro y", + "Ġmov e", + "Ġoper ated", + "et ic", + "ĠI f", + "Ġfeat ure", + "ĠB ow", + "ĠH ong", + "Ġgeneral ly", + "ĠSt ep", + "ĠK ong", + "Ġar rest", + "Ġfore st", + "Ġincre ased", + "Ġequ ip", + "ĠD et", + "ĠS at", + "Ġold er", + "Ġh ockey", + "Ġl ove", + "ĠK ar", + "ĠW ater", + "ant ry", + "Ġcour se", + "Ġw ide", + "ĠOr gan", + "tra ck", + "Ġwest ern", + "ĠM u", + "ĠW ind", + "sp an", + "Ġnum erous", + "ĠAl bert", + "am m", + "ĠBl ue", + "Ġcon v", + "Ġus es", + "Ġcompet ed", + "n o", + "Ġc ouncil", + "Ġnew s", + "Ġra p", + "ĠMan ag", + "Ġg ra", + "Ġann ual", + "Ġdif fic", + "a res", + "ee ks", + "Ġs af", + "ĠF ed", + "is ation", + "ĠJohn son", + "ĠP res", + "Ġ196 3", + "Ġchang es", + "ĠCons erv", + "and s", + "k en", + "Ġv ir", + "ĠE ll", + "ĠD ie", + "ĠM id", + "ĠCh ild", + "on ia", + "ĠPerson al", + "ĠSy stem", + "el a", + "Ġmajor ity", + "og rap", + "Ġs u", + "ĠDe ath", + "ill a", + "Ġterm s", + "Ġserv ing", + "ĠB C", + "ĠCent re", + "ri ef", + "Ġiss ue", + "ul pt", + "Ġf ederal", + "ĠA k", + "att al", + "stit u", + "Ġab s", + "ĠB iography", + "Ġant i", + "ad d", + "Ġind ic", + "ple ment", + "Ġperson nel", + "Ġbet ter", + "Ġcol on", + "Ġun iversity", + "ab eth", + "ĠBro ad", + "Ġ196 2", + "ul f", + "Ġth reat", + "ĠSer b", + "el le", + "Ġrelig ious", + "ĠA ri", + "Ġse a", + "p re", + "Ġc ust", + "Ġs ister", + "ĠT ime", + "ĠE gypt", + "I n", + "ĠB al", + "Ġke ep", + "it ation", + "ĠOx ford", + "ak h", + "ĠB ir", + "ĠSt ation", + "ĠT em", + "Ġpro b", + "ĠG ood", + "ĠTrans port", + "ĠOff ice", + "A C", + "ĠIn t", + "ĠW rit", + "Ġd rop", + "Ġlin es", + "ĠS pe", + "Ġpass ed", + "ĠH ome", + "ĠT am", + "as y", + "ĠAd am", + "Ġd ed", + "ĠSpec ial", + "Ġl ack", + "ĠIs lam", + "ĠW ild", + "Ġacc om", + "che n", + "ĠAlex ander", + "ĠL ittle", + "ĠTra ck", + "t ies", + "ĠComm on", + "Ġh ot", + "Ġexp atriate", + "Ġthough t", + "Ġor d", + "ĠSwed ish", + "man n", + "art ers", + "Ġoffic ers", + "ĠF our", + "ie uten", + "ĠL y", + "ir it", + "is her", + "ce an", + "Ġrecord ing", + "Ġclaim ed", + "Ġh um", + "Ġfor ced", + "ur ban", + "ĠU l", + "Ġprogram s", + "9 5", + "ĠM ax", + "Ġeconom ic", + "Ġstat us", + "Ġdisc uss", + "Ġ4 5", + "ĠK en", + "w ar", + "ĠFound ation", + "Ġn ine", + "Ġinst r", + "Ġlim ited", + "un n", + "orpor ated", + "; \"", + "Ġm useum", + "a ction", + "Ġsupport ed", + "it age", + "Ġim medi", + "ĠB ern", + "Ġ194 2", + "Ġmin utes", + "ĠSen ate", + "Ġcomple te", + "Ġp il", + "acks on", + "ub e", + "Ġcre ate", + "b l", + "Ġgen er", + "ĠCor ps", + "Ġover all", + "Ġh ours", + "Ġsubsequ ently", + "h ire", + "Ġsh oot", + "Ġpresent ed", + "Ġb ene", + "8 8", + "Ġmeet ing", + "ĠThe ir", + "ph y", + "ĠEn ter", + "ĠLat in", + "Ġrem ains", + "ĠF ar", + "ĠGall ery", + "ĠC ard", + "ĠR ay", + "Ġ194 8", + "ro wn", + "Ġ ice", + "ing er", + "ĠAd d", + "ig inal", + "ĠAnd rew", + "Ġdes cent", + "Ġra ised", + "uc le", + "Ġearn ed", + "Ġin stitut", + "v is", + "Ġl ic", + "Ġocc as", + "ĠB ibl", + "A T", + "Ġbel ong", + "ct ors", + "Ġev idence", + "n am", + "Ġcommun ities", + "ĠA sh", + "Ġch all", + "ĠVictor ia", + "Ġgo ing", + "Ġ194 3", + "ĠO f", + "ĠF I", + "3 6", + "iz ing", + "Ġplat form", + "Ġmost ly", + "un a", + "ap ers", + "Ġ195 6", + "Ġj ob", + "ĠC reek", + "is k", + "Ġ196 1", + "ĠSe a", + "Ġhistor ical", + "u ge", + "um ber", + "Ġw eeks", + "Ġal tern", + "m i", + "Ġf le", + "Ġappear ances", + "ĠEl iz", + "Ġse qu", + "w ide", + "at ers", + "ĠSy d", + "ĠBer lin", + "ail y", + "Ġ6 5", + "ĠM inn", + "ur t", + "ĠDe v", + "Ġresp onse", + "ĠS und", + "ĠCor por", + "ĠT y", + "Ġg ive", + "4 7", + "Ġs om", + "ĠJ ackson", + "A F", + "ze ch", + "ieuten ant", + "Ġper cent", + "ĠC orn", + "ĠKore an", + "Ġpro p", + "Ġb ound", + "Ġsh own", + "Ġar m", + "ĠC op", + "Ġin sp", + "w in", + "im s", + "Ġcon cept", + "Ġ195 8", + "ir ing", + "Ġo pt", + "B S", + "Ġreg ional", + "ĠDan iel", + "Ġpartic ularly", + "Ġinc ome", + "g u", + "ĠAl bum", + "ĠW eek", + "Ġacqu ired", + "Ġparent s", + "Ġfore ign", + "ĠR aj", + "Ġb omb", + "ĠSec retary", + "ĠEle ct", + "ĠIs lands", + "Ġm ention", + "Ġpol icy", + "Ġy outh", + "ĠN ight", + "im um", + "ont o", + "Ġc ell", + "alys is", + "Ġ195 9", + "ste in", + "Ġm iddle", + "enc ies", + "3 8", + "che ster", + "Ġdis e", + "re m", + "Ġrecord s", + "ent y", + "ĠPol ice", + "Ġin n", + "Ġt akes", + "os oph", + "4 8", + "Ġlong er", + "ĠB BC", + "Ġl os", + "Ġg ot", + "Ġhel ped", + "ell ed", + "Ġpartic ular", + "Ġf ailed", + "ri ed", + "Ġappe ars", + "ĠG irl", + "Ġ ver", + "Ġpromot ed", + "ĠDes pite", + "Ġa wards", + "on ic", + "Ġpr incip", + "Ġst ep", + "Ġ194 6", + "ĠTh ree", + "ent al", + "st one", + "Ġfam ous", + "Ġbl ock", + "ĠKore a", + "Ġrem ain", + "out heast", + "Ġthe ory", + "ĠR od", + "olog ist", + "Ġin te", + "ag n", + "Ġv ote", + "Ġfin ancial", + "Ġorganiz ations", + "ak ers", + "Ġle aving", + "ĠAt t", + "Ġtra cks", + "ĠM ov", + "ĠR og", + "Ġeast ern", + "o z", + "led ge", + "Ġg overn", + "Ġbase ball", + "ĠB i", + "Ġp sych", + "Ġ194 1", + "Ġm em", + "ĠW ork", + "Ġtechn ology", + "Ġ3 2", + "Ġen ergy", + "v ement", + "cl ass", + "om er", + "Ġsc hed", + "Ġv on", + "if ying", + "Ġm ach", + "y o", + "Ġcompos ed", + "ron ze", + "Ġh app", + "4 6", + "Ġrefer red", + "b ers", + "ĠW all", + "ĠT ax", + "ĠReg iment", + "Ġspec ific", + "Ġcre w", + "ĠSyd ney", + "ĠF amily", + "3 7", + "Ġqu ick", + "em et", + "ĠH ospital", + "Ġincre ase", + "c ul", + "ĠM unicip", + "ĠK enn", + "Ġc itiz", + "Ġbelie ved", + "Ġrem aining", + "Ġw ord", + "ĠC oll", + "ĠSh ow", + "Ġprov ince", + "Ġc ateg", + "Ġlarg er", + "ĠJ oe", + "Ġhous es", + "ĠCh arl", + "rop ol", + "ĠV iet", + "ĠC zech", + "te en", + "Ġh ospital", + "v est", + "c an", + "Ġc arried", + "ĠO tt", + "ĠL im", + "Ġ eth", + "T h", + "ĠV en", + "ric e", + "il ly", + "ou ri", + "ĠBus iness", + "Ġam ount", + "Ġl atter", + "ĠH y", + "ĠW ay", + "Ġtro ops", + "ĠF ederal", + "th ur", + "istric ts", + "Ġ195 7", + "Ġd iss", + "Ġ193 9", + "C C", + "Ġ( ),", + "ĠAr m", + "Ġstart ing", + "ĠTur k", + "Ġarchite ct", + "ov a", + "ĠP en", + "9 6", + "Ġ194 7", + "sel ves", + "ment ary", + "im ated", + "Ġthem selves", + "Ġl ay", + "Ġb rand", + "ĠQue ens", + "ĠD er", + "Ġt arg", + "l av", + "rup t", + "Ġpro posed", + "Ġch arg", + "Ġn orm", + "9 8", + "Ġfor t", + "ut s", + "Ġro om", + "Ġb ring", + "Ġepis odes", + "Ġn ative", + "ĠR et", + "Ġc er", + "Ġ195 2", + "Ġr ate", + "ĠFor m", + "ĠB oth", + "ĠO nt", + "Ġindividual s", + "ĠW orks", + "ĠB and", + "eng er", + "Ġgradu ated", + "Ġassist ant", + "Ġ3 6", + "m ore", + "e ch", + "ut t", + "ur ies", + "Ġp ra", + "Ġl og", + "ĠB ab", + "Ġwinn er", + "Ġform s", + "Ġcult ural", + "p ose", + "Ġde part", + "ĠPri ze", + "Ġ195 5", + "Ġc ities", + "itt ing", + "Ġsur face", + "Ġc hem", + "he w", + "ĠPr ime", + "j i", + "Ġoffer ed", + "ĠE arth", + "ĠJ on", + "Ġv en", + "a is", + "Ġdel iver", + "ph ia", + "ĠCol or", + "Ġm erg", + "er b", + "Ġhe avy", + "ĠB oy", + "ĠTown ship", + "ĠT ay", + "ous ly", + "ĠT od", + "es ota", + "Ġexecut ive", + "Ġon line", + "ed d", + "9 7", + "Ġs pl", + "Ġpre vent", + "ĠJe ff", + "ĠBo oks", + "Ġm arriage", + "Ġmean ing", + "ĠPre mier", + "angu ages", + "A r", + "Ġad j", + "/ /", + "Ġt able", + "enn es", + "ĠL es", + "ĠRou te", + "Ġnewsp aper", + "ĠN ether", + "ĠM ir", + "ĠMinist ry", + "Ġsepar ate", + "Ġs ociety", + "Ġd yn", + "vers e", + "Ġcons ists", + "ound s", + "ell ig", + "ĠS em", + "ĠD ist", + "Ġfif th", + "c i", + "ion e", + "ĠNot able", + "per or", + "ĠEliz abeth", + "ou ra", + "Ġb ridge", + "ĠJ es", + "ĠB ell", + "Ġpe ak", + "ĠE st", + "ic ted", + "ĠAnt on", + "I S", + "Ġto day", + "ĠMinn esota", + "ro vers", + "Ġsuc ceed", + "Ġ ess", + "ĠB ol", + "adel phia", + "Ġexper ience", + "ĠBase ball", + "ran e", + "Ġf ail", + "Ġserv e", + "f it", + "ĠP ubl", + "Ġcond itions", + "Ġvari ety", + "ĠJust ice", + "Ġcomp l", + "Ġb rief", + "it ude", + "Ġf oot", + "h y", + "ĠTor onto", + "Ġlab el", + "Ġtransfer red", + "k er", + "u ated", + "3 4", + "Ġtem per", + "ess ion", + "Ġcandid ate", + "Ġb order", + "m as", + "Ġs ource", + "ĠH uman", + "ron ic", + "ic ine", + "ĠOnt ario", + "Ġhousehold s", + "res p", + "Ġpart n", + "ran ce", + "Ġmain ly", + "Ġmov ie", + "al og", + "ĠSqu ad", + "ĠSup reme", + "Ġalong side", + "ĠH ind", + "ĠA ut", + "z y", + "ĠM ike", + "Ġdes pite", + ": //", + "ĠCh ap", + "Ġsc ulpt", + "Ġrequ ire", + "ĠL em", + "in ct", + "Ġal ways", + "ĠS om", + "a ult", + "ĠReg ion", + "ĠB ad", + "ĠB orn", + "ĠL ew", + "ĠL ight", + "ĠN ations", + "ĠT ok", + "ĠB a", + "ĠSong s", + "ric s", + "Ġpart ies", + "we ight", + "e v", + "Ġ194 9", + "Ġ195 4", + "u ing", + "Ġoper ation", + "Ġiss ued", + "Ġdou ble", + "ic ks", + "ĠPro gram", + "Ġ( ,", + "ĠI d", + "an th", + "ĠW el", + "attal ion", + "Ġpo or", + "b it", + "n es", + "3 1", + "ĠAn other", + "Ġext ended", + "sec ut", + "Ġb r", + "Ġdem on", + "ort heast", + "Ġme chan", + "ĠAn th", + "Ġpl ans", + "Ġf ace", + "ĠD un", + "Ġprov ides", + "ĠC E", + "ĠA ff", + "Ġsold iers", + "Ġm akes", + "Ġart icle", + "Ġturn ed", + "Ġinflu ence", + "R A", + "Ġ8 0", + "Ġdef eat", + "Ġrespons ible", + "Ġsil ver", + "bour ne", + "Ġd one", + "Ġro w", + "Ġj un", + "Ġs n", + "ĠHar ris", + "Ġ195 3", + "ĠA h", + "Ġarr ived", + "ra ine", + "ĠStep hen", + "er land", + "ill ed", + "Ġfeat uring", + "ĠB rad", + "Ġh ar", + "ĠMex ican", + "Ġdiffic ult", + "ĠPhil adelphia", + "w orth", + "ĠSt adium", + "Ġr ugby", + "che stra", + "os a", + "Ġst ories", + "Ġnear by", + "8 5", + "Ġm aster", + "Ġspe ed", + "ons in", + "Ġun ivers", + "Ġex cept", + "Ġa thlet", + "pt on", + "ĠSt at", + "ĠAir port", + "ĠA v", + "Ġcap ac", + "ĠCh art", + "l ers", + "Ġc orn", + "Ġhon or", + "ĠPak istan", + "om ot", + "isc onsin", + "ĠT ai", + "av en", + "ri f", + "writ er", + "b ass", + "ĠSant a", + "ĠNether lands", + "Ġparticip ated", + "Ġo il", + "ag on", + "Ġres idents", + "at ively", + "ĠC rit", + "Ġ7 0", + "Ġs aying", + "m ission", + "Ġwinn ers", + "av a", + "Ġmanag ed", + "Ġst ay", + "Ġf ellow", + "e ction", + "Ġadminist rative", + "ĠK ir", + "ĠD am", + "l ight", + "ob ile", + "Ġelect ric", + "p on", + "Ġorig in", + "b a", + "Ġcon stitu", + "ĠMed ia", + "Ġdiscover ed", + "Ġm ight", + "um ed", + "und red", + "Ġcover ed", + "rop ical", + "ĠRev olution", + "ĠProfess or", + "ĠBr ig", + "Ġren amed", + "Ġs urn", + "n s", + "or g", + "ĠInd ones", + "Ġback ground", + "Ġmunicip al", + "8 6", + "ĠW isconsin", + "Ġlik ely", + "ĠH o", + "Ġcont ra", + "d is", + "ĠCh ris", + "Ġin h", + "ĠA venue", + "Ġrec ent", + "ĠGu ard", + "Ġmusic ians", + "ĠPe ak", + "ĠR ome", + "Ġ195 1", + "Ġpar ish", + "4 4", + "Ġele ments", + "ĠC ub", + "Ġto ld", + "ig en", + "ran ge", + "qu arters", + "ac hel", + "Ġv an", + "an cy", + "Ġas ked", + "Ġg un", + "Ġ +", + "igh ter", + "Ġconstru cted", + "Ġcon fl", + "ĠPr im", + "Ġproble ms", + "ĠTechn ology", + "ĠK im", + "Ġ ult", + "Ġfinal ly", + "ow a", + "7 6", + "ĠS us", + "Ġhe art", + "ĠS her", + "Ġle ave", + "Ġo ur", + "oc ks", + "est abl", + "Ġn ature", + "emet ery", + "Ġneigh bor", + "ir med", + "ĠP ers", + "ke e", + "Ġpro gress", + "Ġprodu cts", + "ĠMus lim", + "ĠCamb ridge", + "ĠL i", + "Ġth r", + "Ġp ick", + "ctor al", + "we gian", + "Ġhe re", + "or ation", + "ĠInd ust", + "ot o", + "Ġimp act", + "Ġnear ly", + "ĠFore st", + "Ġdr ug", + "Ġp aper", + "ĠDu ke", + "ĠB ishop", + "Ġc ause", + "5 5", + "Ġp age", + "Ġen ough", + "Ġp ath", + "g ing", + "Ġw anted", + "ĠL ady", + "Ġsub s", + "m et", + "Ġde ad", + "am ber", + "Ġmedal ists", + "w ick", + "ĠSl ov", + "per ial", + "ĠLeg isl", + "r im", + "Ġreve aled", + "ap ed", + "Ġarchite cture", + "ĠEx p", + "ĠP u", + "Ġra ces", + "ric t", + "ĠC a", + "Ġne cess", + "Ġch ampion", + "Ġsec urity", + "n ic", + "s s", + "ĠCommun ity", + "ist ance", + "Ġdirect ly", + "ens ity", + "Ġsol o", + "ĠSt r", + "g et", + "Ġv oice", + "ĠWil son", + "3 2", + "Ġp it", + "epend ence", + "ins on", + "ĠPro ject", + "Ġadd ress", + "Ġsus p", + "ĠS ab", + "ĠP ower", + "orn ing", + "ĠAdm inist", + "Ġl ives", + "Ġan cient", + "Ġlead ers", + "Ġ193 6", + "Ġminist er", + "ĠCorpor ation", + "Ġoffic ially", + "Ġincre asing", + "Ġcy cl", + "Ġproject s", + "ĠCol on", + "ĠMed ical", + "ĠMar g", + "L e", + "l iving", + "Ġdis play", + "Ġprim arily", + "Ġr ural", + "ad ing", + "ĠBar b", + "Ġadminist ration", + "en ge", + "9 4", + "van ced", + "ou d", + "Ġcondu cted", + "Ġinit i", + "Ġfriend s", + "Ġlevel s", + "ĠH ay", + "ang a", + "roll ed", + "Ġpos itive", + "en ing", + "Ġs port", + "Ġmount ain", + "ens is", + "e cted", + "ĠD ar", + "ĠNor wegian", + "Ġc ard", + "ĠSwed en", + "S S", + "ĠF air", + "Ġch ap", + "ĠI ra", + "in ity", + "Ġl y", + "i at", + "ĠM oh", + "ĠF ire", + "ĠL t", + "Ġinit ial", + "yd ro", + "ĠV ideo", + "ĠSh ort", + "ul ly", + "Ġacadem ic", + "ĠIndian a", + "ĠGold en", + "uc ky", + "Ġp an", + "ĠF le", + "Ġ9 0", + "e en", + "Ġp p", + "ĠMount ain", + "ĠW inn", + "Ġf irm", + "ĠM un", + "ak i", + "Ġch annel", + "Ġdis p", + "ĠBibl iography", + "Ġs ources", + "Ġrepl ace", + "bo ok", + "ĠWin ter", + "Ġwho le", + "ĠAr thur", + "Ġlist ing", + "Ġwork ers", + "Ġ193 8", + "ĠSc iences", + "Ġlet ter", + "cript ion", + "Ġnum bers", + "ĠR ad", + "ribut ed", + "ĠN iger", + "Ġconsid er", + "ĠAl f", + "ĠPl ace", + "Ġm ic", + "Ġval ue", + "ĠDes ign", + "ĠRe view", + "ĠB udd", + "Ġde ep", + "ĠS u", + "L A", + "Ġlaw s", + "ur ches", + "ĠH u", + "em y", + "ed om", + "ĠK ansas", + "ant a", + "ĠAl so", + "Ġliter ature", + "Ġwhe ther", + "Ġremov ed", + "th ing", + "ĠL ive", + "Ġ19 18", + "g al", + "he im", + "Ġs al", + "ĠMar ia", + "Ġwith d", + "A l", + "Ġded icated", + "el d", + "i est", + "ĠGe ography", + "ĠCap tain", + "ĠU s", + "port un", + "ert o", + "ĠDe p", + "Ġsy n", + "Ġg rew", + "ony m", + "Ġd omin", + "Ġw ords", + "ĠBar on", + "F F", + "Ġplann ed", + "ĠPopul ated", + "ĠPolit ical", + "r ical", + "Ġst ars", + "ĠJun ior", + "ĠRes ults", + "7 8", + "Ġnot able", + "Ġeffect s", + "ĠUS A", + "Ġsh are", + "je cted", + "ĠU t", + "Ġk ind", + "it ter", + "e z", + "ic ed", + "Ġr ule", + "ĠMiss ouri", + "p resent", + "Ġd ark", + "E C", + "Ġcomp uter", + "Ġp iano", + "Ġorder ed", + "ĠTay lor", + "Ġreg ist", + "Ġsettle ment", + "ath an", + "ĠM aster", + "resp ond", + "ĠH an", + "Ġprom inent", + "ik a", + "M A", + "Ġsp read", + "ĠR ugby", + "Ġcontin ue", + "ĠB ridge", + "is hes", + "ĠP it", + "ĠColor ado", + "reg on", + "y al", + "Ġrec over", + "ab les", + "rest ling", + "Ġref le", + "ĠFranc is", + "Ġun s", + "res h", + "se x", + "ell er", + "ĠE P", + "ag ing", + "Ġv ac", + "O S", + "Ġ3 4", + "Ġvot es", + "for ce", + "Ġsc ene", + "Ġfollow s", + "Ġwe ap", + "Ġdire ction", + "tern et", + "il ton", + "6 6", + "g reg", + "ĠSte ve", + "ĠR em", + "ist ed", + "Ġmix ed", + "Ġto uch", + "Ġb ranch", + "Ġhost ed", + "Ġext ra", + "ĠCon ne", + "Ġd igital", + "Ġg as", + "Ġre form", + "Ġl anguages", + "ĠW alk", + "Ġg reen", + "Ġart icles", + "Ġrul es", + "Ġpot ential", + "Ġ193 7", + "Ġim plement", + "Ġre ason", + "hen s", + "Ġint ended", + "Ġp urs", + "Ġill ust", + "ĠStud ies", + "Ġcons erv", + "en es", + "g n", + "hem at", + "Ġn ation", + "Ġan g", + "z ona", + "enn a", + "ĠRepresent atives", + "Ġhistor ic", + "Ġ era", + "3 9", + "ĠCast le", + "ĠC irc", + "y ard", + "ĠL ind", + "ĠE arl", + "Ġtri al", + "ul ated", + "Ġdiv ided", + "ĠG ree", + "Ġcapac ity", + "Ġide a", + "ĠM ember", + "Ġ ut", + "ĠN az", + "g rad", + "Ġcol or", + "Ġfor ward", + "ropol itan", + "Ġt al", + "Ġtit led", + "ograph ic", + "n ce", + "Ġrespect ively", + "Ġfl oor", + "Ġdestroy ed", + "Ġtit les", + "Ġtreat ment", + "Ġs oc", + "ĠO regon", + "ol es", + "ĠJ os", + "Ġass igned", + "ĠK al", + "ĠMar sh", + "Ġengine er", + "ĠK el", + "Ġ6 4", + "20 10", + "it led", + "ĠF e", + "Ġtown s", + "7 7", + "g g", + "ill ery", + "ur d", + "ĠTur key", + "ĠWar s", + "ĠMal ays", + "ĠP ier", + "Ġin side", + "Ġp arliament", + "or al", + "ap ore", + "ĠFred er", + "ĠH al", + "ĠR om", + "ly n", + "k h", + "ĠZ h", + "Ġag ric", + "ix ed", + "% )", + "Ġbas is", + "Ġd ance", + "Ġactiv ity", + "6 5", + "Ġsem i", + "Ġnov els", + "Ġre pe", + "and on", + "Ġcompos er", + "Ġbeh av", + "200 7", + "Ġun known", + "Ġreview s", + "Ġsit es", + "ĠE th", + "Ġ. ..", + "ĠBrazil ian", + "ĠComm and", + "Ġc ounter", + "re al", + "c ow", + "iv ity", + "Ġgrow th", + "b ec", + "Ġcle ar", + "Ġst reet", + "ĠDav is", + "Ġcont rovers", + "Ġmet al", + "ĠCon f", + "Ġfem ales", + "ĠP ass", + "b u", + "M S", + "Ġeffort s", + "Ġpurch ased", + "Ġp al", + "Ġpl ants", + "Ġbecom es", + "ennes see", + "b ell", + "Ġmov ing", + "Ġp et", + "Ġup per", + "ĠBro ok", + "ĠCon c", + "ĠAtl antic", + "ear s", + "Ġcont est", + "Ġprodu ce", + "iz es", + "ĠCount ry", + "Ġfe el", + "ĠSt and", + "ast y", + "ĠT al", + "ĠBe ach", + "ĠC re", + "ĠB all", + "Ġfac ilities", + "Ġl ies", + "ĠAri zona", + "a ud", + "ĠG reg", + "un ct", + "em an", + "Ġquest ion", + "ĠPhilipp ines", + "Ġcer em", + "ĠT a", + "ian t", + "it o", + "200 9", + "ĠN ic", + "ad ed", + "Ġtyp es", + "Ġequip ment", + "ĠFore ign", + "Ġcapt ured", + "I A", + "ĠF ree", + "Ġprodu ct", + "f ort", + "Ġsmall er", + "Ġatt end", + "est ic", + "Ġquick ly", + "Ġst ore", + "Ġy et", + "ĠK r", + "b ro", + "w ater", + "Ġhigh ly", + "200 0", + "e k", + "Ġle aves", + "ĠSe ver", + "Ġcont act", + "Ġcitiz ens", + "Ġ5 00", + "ĠS on", + "ar p", + "ound ed", + "Ġform at", + "b les", + "Ġdocument ary", + "Ġ4 4", + "Ġest ate", + "ast ic", + "st yle", + "ĠT ennessee", + "Ġimmedi ately", + "Ġ( ;", + "ĠLe on", + "ren ce", + "Ġorgan ized", + "if orm", + "Ġaccept ed", + "Ġs umm", + "ĠMar c", + "Ġg re", + "b ed", + "ed ia", + "k in", + "ipl om", + "w atch", + "Ġop portun", + "ĠNor way", + "j an", + "Ġcon ver", + "ĠM as", + "a ug", + "20 11", + "ef e", + "ĠS ri", + "Ġm ax", + "Ġown er", + "ul ed", + "Ġcon ference", + "Ġfl ight", + "Ġr at", + "ĠC as", + "ian g", + "s ky", + "ur er", + "Ġ193 5", + "ĠN etwork", + "Ġ19 19", + "Ġphys ical", + "Ġfav or", + "Ġfac ulty", + "Ġro les", + "200 6", + "g ers", + "o is", + "200 8", + "Ġst ra", + "Ġsy mb", + "Ġaut om", + "Ġb ronze", + "er c", + "Ġdecl ared", + "ĠMary land", + "amb ig", + "Ġconf irmed", + "Ġsoft ware", + "se y", + "am i", + "ĠC ra", + "ĠS av", + "Ġmot or", + "Ġte acher", + "Ġchar ge", + "Ġre ach", + "ol n", + "Ġcommon ly", + "ĠUk raine", + "Ġpos itions", + "ann a", + "Ġaff ili", + "Ġg overnor", + "Ġ19 14", + "Ġhous ing", + "Ġoper ating", + "ĠHigh way", + "Ġv s", + "ĠO d", + "Ġ3 3", + "eat her", + "ĠB at", + "ĠBe fore", + "Ġprogram ming", + "Ġper man", + "Ġbe at", + "im al", + "Ġh tt", + "Ġstre ng", + "ĠIra q", + "U n", + "ĠS ources", + "Ġele v", + "am in", + "ce st", + "Ġcomp ared", + "r ate", + "ĠFor mer", + "Ġcom es", + "h at", + "ĠBack ground", + "ĠSing apore", + "Ġterrit ory", + "ĠFed eration", + "are t", + "Ġab ility", + "ĠMod ern", + "Ġagre ement", + "Ġd istricts", + "b s", + "Ġcom ment", + "Ġtarg et", + "ĠK l", + "CA A", + "Ġst one", + "Ġ19 10", + "ĠM emorial", + "Ġfound er", + "ĠR oss", + "ĠL iter", + "Ġw a", + "Ġp op", + "ĠDe c", + "Ġsw im", + "ellig ence", + "Ġ19 17", + "Ġg iving", + "ag a", + "ĠD or", + "Ġagre ed", + "ĠF ox", + "Ġatt ention", + "ĠCh ile", + "Ġmod els", + "ar c", + "Ġappro ach", + "Ġengine ering", + "5 8", + "Ġn ucle", + "9 3", + "inc ial", + "vent h", + "ĠH or", + "Ġcamp us", + "ĠO cean", + "ĠS ound", + "S P", + "Ġpe ace", + "ĠE ach", + "m ad", + "west ern", + "igh th", + "du ce", + "Ġlead ership", + "Ġinstitut ions", + "Ġw alk", + "Ġatt ra", + "Ġc ars", + "od ies", + "S C", + "ap h", + "Ġl if", + "Ġap art", + "ript ion", + "Ġ192 8", + "Ġy ards", + "Ġest imated", + "Ġel im", + "z o", + "ĠB ru", + "igr ants", + "ol i", + "Ġse ats", + "Ġth ink", + "Ġoccur red", + "Ġbl ood", + "ĠR en", + "un te", + "Ġw ing", + "ĠW at", + "ambig uation", + "op her", + "ĠD iv", + "ĠEnter tain", + "ĠH art", + "ĠS port", + "Ġg ained", + "ad er", + "200 5", + "Ġneed ed", + "ot i", + "Ġch airman", + "Ġmed ian", + "ĠPhil ip", + "Ġ x", + "Ġact ing", + "ĠF a", + "ĠLew is", + "Ġsuffer ed", + "Ġcon clud", + "Ġdise ase", + "Ġfig ure", + "Ġadop ted", + "Ġrec on", + "Ġb ad", + "ĠB os", + "ĠMel bourne", + "Ġfl ag", + "Ġ192 9", + "Ġs ens", + "Ġcr ime", + "in us", + "Ġc oin", + "ed er", + "we alth", + "Ġdist ribution", + "Ġserv es", + "ĠT s", + "5 00", + "ĠMos cow", + "ĠT en", + "Ġst ream", + "Ġp oll", + "Ġent er", + "it ness", + "Ġf ell", + "ul s", + "Ġan alysis", + "H L", + "ĠPro duction", + "rain ian", + "Ġcomb ined", + "im inal", + "l ah", + "Ġcomm ittee", + "Ġjournal ist", + "' ,", + "s pe", + "Ġ3 8", + "ĠT est", + "ans ion", + "Ġcont ent", + "Ġcor respond", + "Ġj oint", + "T A", + "ĠAb b", + "ag h", + "or ter", + "ĠSe ason", + "Ġqu ality", + "Ġcan cer", + "Ġv ess", + "Ġpre c", + "20 12", + "200 4", + "ing ham", + "Ġ193 3", + "Ġpolit ics", + "ĠSt ock", + "y es", + "Ġres ident", + "Ġ193 4", + "ĠCro at", + "or ph", + "anc ing", + "Ġra re", + "ĠSpr ing", + "S h", + "ost er", + "ĠAb d", + "Ġcont emporary", + "ĠEngine ering", + "Ġproble m", + "ugu ese", + "ol id", + "ast ers", + "Ġ urban", + "Ġperforman ces", + "Ġtyp ically", + "A n", + "Ġh abit", + "y ond", + "al o", + "ĠR ound", + "p et", + "Ġret ire", + "pl ace", + "Ġmention ed", + "eth ing", + "Ġofficial s", + "l aw", + "Ġnomin ated", + "ĠHe art", + "Ġb ig", + "Ġindust rial", + "9 1", + "Ġcom ing", + "Ġun c", + "ib ly", + "ĠH ard", + "ash ion", + "ĠB on", + "Ġh undred", + "Ġf iction", + "id i", + "w orks", + "Ġpres ence", + "Ġl abor", + "ov i", + "ĠTurk ish", + "Ġbl ue", + "ĠQueens land", + "ĠKh an", + "ĠV o", + "p ass", + "Ġeduc ated", + "ant e", + "9 2", + "it i", + "w ing", + "Ġex c", + "g ar", + "Ġh or", + "20 13", + "ir al", + "ĠJew s", + "ĠH ou", + "ol ved", + "v ard", + "Ġf ast", + "l i", + "id ers", + "is a", + "ĠAdd ition", + "V ID", + "Ġpr in", + "il ing", + "ic ian", + "ĠB alt", + "Ġcol umn", + "hed ral", + "Ġco al", + "g i", + "Ġlarg ely", + "Ġresult ed", + "dis ambiguation", + "Ġrecogn ized", + "osoph y", + "ot ed", + "Ġprob ably", + "ĠI owa", + "ĠAust ria", + "m outh", + "Ġe c", + "Ġ ir", + "ak s", + "ĠG il", + "ĠAr k", + "ĠCommon wealth", + "for mer", + "Ġab andon", + "Ġ192 4", + "Ġb oy", + "Ġdam age", + "d a", + "Ġres erv", + "ĠR ang", + "p son", + "Ġm iles", + "Ġcon cent", + "ĠKent ucky", + "Ġh op", + "ĠBro ther", + "os en", + "ĠO t", + "Ġbur ied", + "ĠE c", + "Ġc ab", + "u ate", + "Ġpaint ing", + "Ġschol ar", + "ĠD own", + "ĠB ah", + "v o", + "ĠC ab", + "Ġc am", + "ĠSports people", + "Ġwid ely", + "act er", + "Ġsc oring", + "G B", + "Ġexp anded", + "5 6", + "Ġc ode", + "Ġ19 00", + "Ġvill ages", + "z h", + "Ġar ts", + "Ġex pected", + "Ġrank ed", + "ol is", + "Ġ193 2", + "Ġ3 7", + "Ġsex ual", + "ĠEntertain ment", + "Ġclass ical", + "Ġsports people", + "Ġb ra", + "ĠSquad ron", + "ĠK itt", + "Ġnew ly", + "Ġrec omm", + "Ġident ified", + "ĠHar ry", + "Ġm m", + "Ġcrit ical", + "Ġf elt", + "Ġgr anted", + "Ġm ill", + "Ġdef end", + "ĠAre a", + "oc ese", + "iqu es", + "ar o", + "ĠC ape", + "Ġp ict", + "u i", + "form ed", + "ain e", + "cl es", + "Ġse arch", + "ĠWal ter", + "Ġsecond ary", + "ĠBel g", + "Ġ rom", + "Ġf ish", + "Ġad apt", + "Ġsqu are", + "ĠH ur", + "ĠManag ement", + "ĠT ony", + "ĠD anish", + "ĠG i", + "Ġcou ple", + "Ġdr ums", + "Ġstar ring", + "Ġal le", + "m itted", + "ro g", + "us ion", + "ĠL ike", + "Ġlos ing", + "Ġb illion", + "Ġwe ight", + "Ġconc ert", + "20 14", + "k es", + "se ason", + "ĠSw iss", + "l ast", + "Ġs ales", + "Ġt aught", + "t ing", + "il ation", + "Ġcre ation", + "Ġcond ition", + "Ġre duced", + "Ġm ess", + "ett ing", + "ĠViet nam", + "ĠN ick", + "Ġco aches", + "Ġdist ance", + "Ġthe atre", + "vi ation", + "Ġcomm ander", + "Ġpress ure", + "8 7", + "Ġresult ing", + "Ġw ild", + "Ġ192 7", + "Ġb al", + "Ġpre mier", + "or ship", + "Ġthere fore", + "Ġoff ers", + "ĠCO VID", + "0 5", + "ĠR on", + "itz erland", + "i ot", + "ĠInf antry", + "ĠProfess ional", + "ĠPort uguese", + "S T", + "Ġcap tain", + "200 3", + "ĠG ord", + "ĠRec ord", + "cl aim", + "ĠReg ional", + "Ġinstr ument", + "ĠS ix", + "Ġlo an", + "oc ated", + "ĠTh rough", + "ĠT an", + "Ġ19 12", + "p ur", + "Ġsp ons", + "4 1", + "ĠAm ong", + "Ġsec ret", + "20 15", + "ĠSim on", + "ĠUk rainian", + "ĠA st", + "ĠB eng", + "ĠSe le", + "Ġt im", + "ĠT reat", + "m es", + "Ġtw ice", + "Ġauthor ities", + "ĠAl b", + "ĠH and", + "Ġrec ently", + "al ing", + "Ġarrest ed", + "ĠF inn", + "Ġsurn ame", + "V D", + "Ġ193 1", + "4 2", + "ad s", + "Ġstr ugg", + "ict ional", + "orn ey", + "h o", + "ĠN ik", + "Ġyoung er", + "Ġform ation", + "p a", + "I C", + "ĠN CAA", + "Ġpre p", + "Ġinj ury", + "ord in", + "Ġbeg ins", + "ĠL abor", + "um es", + "ĠAr men", + "i pe", + "Ġformer ly", + "Ġ192 2", + "ĠBul g", + "Ġra cing", + "ym n", + "0 7", + "Ġatt acks", + "Ġg raph", + "ĠH ans", + "ĠD rag", + "Ġvers ions", + "Ġw all", + "ĠGree ce", + "m iss", + "ĠI l", + "lah oma", + "ĠSt aff", + "0 6", + "Ġfin ish", + "ĠIsrael i", + "ĠAff airs", + "ĠPl an", + "Ġth ous", + "Ġsurround ing", + "Ġprov iding", + "ĠG er", + "ĠAn ne", + "ĠArch ite", + "Ġcrit ics", + "ĠPh ys", + "ay er", + "ĠSpace watch", + "Ġrest aur", + "Ġdis establ", + "b ra", + "os is", + "Ġc e", + "Ġser ious", + "0 8", + "m ont", + "re ll", + "ĠA ud", + "ĠRe al", + "Ġ192 1", + "ĠTok yo", + "ĠAl i", + "Ġvoc al", + "200 1", + "Ġt ree", + "Ġpat tern", + "as ion", + "Ġknow ledge", + "ĠBill board", + "p ool", + "ĠMill er", + "Ġ192 5", + "b i", + "ĠBe c", + "Ġshow ed", + "ĠK at", + "T C", + "ĠTr ust", + "Ġob tained", + "Ġstat istics", + "Ġc arri", + "ĠJac ob", + "Ġspl it", + "ĠN ap", + "Ġreg ions", + "Ġinte g", + "Ġ192 6", + "ann ing", + "ĠBet ween", + "og ue", + "ĠG ab", + "Ġp aid", + "ĠOr iginal", + "Ġrece ive", + "ain ts", + "ĠSw itzerland", + "ĠD omin", + "Ġl ibrary", + "inc oln", + "Ġtra ins", + "iv als", + "ĠMan chester", + "ograp her", + "g ro", + "ĠHol y", + "ĠP ict", + "ĠTh ird", + "ĠAl ab", + "Ġb ow", + "Ġf estival", + "ĠJan e", + "ru it", + "ĠEm peror", + "ĠAnd erson", + "Ġpro pos", + "p ri", + "or i", + "ĠSen ior", + "Ġnot es", + "ĠChrist mas", + "Ġc ells", + "ug al", + "Ġdesign ated", + "ĠOk lahoma", + "ĠBuild ings", + "Ġsp ring", + "og s", + "ĠServ ices", + "l ines", + "Ġn et", + "Ġsup pl", + "in y", + "Ġp ack", + "ĠR a", + "ill er", + "Ġl iber", + "ĠF ac", + "ĠCh ampions", + "20 16", + "Ġmay or", + "Ġim age", + "Ġke pt", + "Ġsugg ested", + "el ine", + "m un", + "Ġmark ed", + "ĠB rian", + "Ġclaim s", + "ific ations", + "Ġtw enty", + "Ġlaun ch", + "Ġtr ue", + "ĠT urn", + "ous es", + "Ġmanag ers", + "Ġreg ul", + "ĠPro te", + "ic ians", + "ĠK am", + "Ġh y", + "ĠB arn", + "Ġd ial", + "f ef", + "ĠA le", + "Ġconfl ict", + "Ġveh icles", + "Ġpain ter", + "ĠChild ren", + "ĠL ar", + "Ġent ry", + "Ġinsp ired", + "ĠLem mon", + "Ġfig ures", + "200 2", + "Ġ192 3", + "Ġh all", + "ĠP oint", + "Ġsp irit", + "Ġre ports", + "Ġ19 16", + "Ġexper iment", + "ate ur", + "4 9", + "Ġsup ply", + "ĠD ue", + "Ġm ales", + "Ġsix th", + "Ġhead quarters", + "ĠN aval", + "Ġb ott", + "ĠFr ont", + "and y", + "ĠRe ception", + "Ġro yal", + "Ġcontin ues", + "Ġconne cted", + "1 00", + "ĠMc G", + "ro om", + "Ġw ins", + "ĠF ord", + "Ġsh op", + "Ġtra ffic", + "Ġd ensity", + "Ġg ives", + "ĠF il", + "ubl in", + "8 9", + "oot h", + "ĠK y", + "4 3", + "Ġport ray", + "N ew", + "ĠR un", + "ĠPr in", + "Ġ19 15", + "fef efe", + "qu es", + "Ġsl ight", + "ch a", + "ri p", + "Ġjud ge", + "Ġmaterial s", + "Ġact ually", + "Ġn ortheast", + "Ġthem e", + "ly wood", + "al so", + "ok ing", + "E R", + "Ġpart ner", + "Ġa im", + "Ġ7 5", + "; \"|", + "20 17", + "oth s", + "Ġop position", + "Ġcomp on", + "ĠP op", + "rat or", + "ĠAlab ama", + "ĠLab our", + "ĠHow ard", + "Ġpromot ion", + "Ġsucceed ed", + "Ġpur pose", + "Ġcl imate", + "ĠBas ketball", + "ĠAlbum s", + "ĠL ow", + "ol ished", + "u ous", + "ĠR ose", + "r in", + "ene z", + "ĠF ame", + "ĠL incoln", + "Ġte aching", + "ĠI V", + "ro it", + "Ġgre ater", + "ĠHam ilton", + "ĠE ric", + "ĠSing les", + "v ens", + "ĠN ative", + "Ġtri ed", + "ĠL ieutenant", + "Ġcompet itions", + "Ġet c", + "6 7", + "Ġfac ility", + "A A", + "ĠPl ot", + "ĠB attalion", + "ĠT el", + "l an", + "Ġallow ing", + "ional ly", + "l ife", + "ĠMiss iss", + "Ġb att", + "b ot", + "ĠB urn", + "ĠSur vey", + "Ġt alk", + "Ġpres erv", + "Ġs ays", + "ĠAust rian", + "ĠDou gl", + "off s", + "ĠK az", + "ĠY outh", + "0 1", + "Ġmusic ian", + "ĠN ich", + "ecut ive", + "ĠS n", + "ĠMar ine", + "Ġacc ident", + "ag u", + "ik h", + "hes s", + "Ġ4 2", + "Ġc ert", + "ĠFor ces", + "Ġsc ript", + "Ġvis it", + "wh ich", + "ipp i", + "ed ing", + "Ġhistor ian", + "e ast", + "Ġto wer", + "Ġsing ers", + "Ġpublic ation", + "Ġscient ific", + "ur ance", + "Ġt ells", + "Ġ @", + "ĠCh annel", + "ĠMount ains", + "Ġcan not", + "u v", + "ĠDes cription", + "ord an", + "Ġreturn ing", + "Ġgrow ing", + "Ġexist ing", + "ĠExp atriate", + "Ġf ully", + "ĠLoc al", + "ctic ut", + "ĠHar vard", + "achel or", + "ĠBuild ing", + "ĠArgent ina", + "Ġp le", + "Ġappl ied", + "Ġsl ow", + "Ġp air", + "ure au", + "Ġle tt", + "Ġsit uation", + "Ġal one", + "ĠCur rent", + "ad i", + "Ġm om", + "ut her", + "20 18", + "ĠHon or", + "Ġall ows", + "rel ated", + "st ic", + "Ġmag n", + "id ge", + "Ġa ired", + "ĠTem ple", + "olog ists", + "Ġmet res", + "Ġd raft", + "Ġop pos", + "Ġsp ot", + "ĠC ost", + "ĠN ow", + "d am", + "ĠPri x", + "st an", + "Ġfight ing", + "ĠW olf", + "in th", + "ĠD om", + "ĠM it", + "f inals", + "ist ry", + "Ġm ut", + "ĠR oll", + "ĠG ram", + "5 7", + "Ġy ellow", + "Ġc art", + "is er", + "ĠPro t", + "ĠMor ris", + "Ġd iplom", + "' .", + "w ich", + "Ġmeas ure", + "ard o", + "Ġsit uated", + "D on", + "Ġs uit", + "Ġun ique", + "Ġm ap", + "ial s", + "Ġ19 13", + "ĠA uthor", + "Ġsaf ety", + "ĠConne cticut", + "ĠSt one", + "Ġs ons", + "Ġbrother s", + "ĠAnth ony", + "20 19", + "Ġpr int", + "ast e", + "Ġad vanced", + "ĠL as", + "ĠJ am", + "Ġw ant", + "Ġe arth", + "Ġmain tain", + "Ġhe av", + "ol as", + "ĠHistor ical", + "ĠN ag", + "or gan", + "Ġgu est", + "clud ing", + "Ġfe et", + "ingu ished", + "ĠL ank", + "ĠSec urity", + "ĠCol omb", + "ĠB rand", + "igen ous", + "ĠJ ay", + "Ġold est", + "Ġag ent", + "ĠPat rick", + "eral d", + "ch i", + "ĠTai wan", + "Ġhand s", + "Ġclass es", + "on om", + "ĠSt ory", + "ĠQue bec", + "at al", + "out s", + "ĠSil ver", + "ell o", + "est er", + "ĠK arl", + "Ġs ides", + "h ol", + "Ġb ill", + "Ġly rics", + "ĠN FL", + "s ort", + "Ġchart s", + "c ont", + "ĠD ur", + "Ġfl ood", + "ĠSund ay", + "ĠW ell", + "ant on", + "ĠC ulture", + "Ġgo es", + "Ġnar row", + "Ġth ings", + "Ġv ice", + "ĠEr n", + "Ġl ot", + "ĠN a", + "ĠMag azine", + "ĠJu an", + "Ġh orse", + "ĠR ural", + "Ġch osen", + "j oy", + "Ġp un", + "ĠT ar", + "ĠL in", + "inem a", + "Ġg all", + "ĠV is", + "Ġar ms", + "Ġme ant", + "at us", + "6 8", + "ĠP ot", + "Ġset s", + "Ġloc omot", + "Ġtem ple", + "os lav", + "Ġex change", + "im ens", + "ĠC ensus", + "ĠN on", + "ress ion", + "ĠBec ause", + "ĠHou ston", + "Ġr isk", + "ĠW y", + "d ied", + "Ġcor por", + "ĠH un", + "Ġe as", + "ĠH amp", + "ĠLouis iana", + "Ġs ail", + "Ġth ir", + "ĠBrig ade", + "Ġport ion", + "Ġcommission ed", + "Ġpro ceed", + "z z", + "y ers", + "Ġal t", + "ĠDie go", + "ĠN Y", + "Ġsugg est", + "ĠLiber al", + "z en", + "Ġchall eng", + "h r", + "val ue", + "Ġb ought", + "Ġprincip al", + "Ġauthor ity", + "Ġ19 11", + "ra it", + "ig ration", + "Ġn ob", + "Ġro ll", + "l ades", + "Ġf olk", + "ĠF ellow", + "ĠT un", + "Ġcomplet ely", + "Ġneighbor hood", + "Ġachie ved", + "Ġs outheast", + "Ġanim als", + "ĠAll en", + "Ġre ference", + "Ġhold s", + "Ġcust om", + "ĠBelg ium", + "ĠLt d", + "el ve", + "ĠD ream", + "ĠSever al", + "ĠCh all", + "ĠH ockey", + "ĠAb out", + "Ġgl obal", + "pect s", + "ĠC emetery", + "ĠR ace", + "199 9", + "Ġref used", + "d es", + "Ġprote ction", + "bo x", + "ĠV in", + "S e", + "ĠK u", + "ĠPu erto", + "am ing", + "ĠTod ay", + "Ġexhib ition", + "ĠB ry", + "ag er", + "und er", + "o es", + "uc cess", + "Ġappro ved", + "ĠAmerican s", + "Ġattempt ed", + "5 1", + "Ġrap id", + "j o", + "Ġint ers", + "Ġ4 8", + "ĠS in", + "au x", + "ĠV ice", + "Ġcont ain", + "Ġveh icle", + "Ġsett led", + "Ġt ennis", + "Ġsoc cer", + "Ġsy m", + "Ġf ans", + "Ġa ctions", + "ĠP ap", + "Ġcre ating", + "ĠG ib", + "ĠGord on", + "ĠHung arian", + "Ġad vert", + "Ġ4 1", + "ĠDet roit", + "Ġl ake", + "Ġvis ited", + "ĠDougl as", + "6 4", + "Ġdef ined", + "ĠLegisl ative", + "if ically", + "Ġend ing", + "ĠPort ugal", + "ind er", + "Ġnecess ary", + "ĠAnton io", + "Ġcomb at", + "ress ed", + "Ġf air", + "iam i", + "pr ise", + "Ġattack ed", + "I T", + "ĠTer rit", + "c ar", + "rid ges", + "ĠDen mark", + "iv a", + "ag en", + "ĠHer itage", + "ĠP ed", + "ivers ary", + "Ġpil ot", + "S R", + "are n", + "Ġsim ply", + "ac hers", + "Ġrece iving", + "ĠPlay er", + "ĠMississ ippi", + "Ġaud ience", + "b ar", + "Ġ190 8", + "Ġconsist ed", + "Ġcont aining", + "ĠS el", + "t i", + "Ġag ed", + "Ġoper a", + "Ġadv ance", + "ur i", + "Ġres ources", + "Ġst orm", + "Ġfound ing", + "Ġun able", + "um a", + "ĠN ar", + "Ġdirect ors", + "ou red", + "ĠBang lades", + "ĠA D", + "ĠT rib", + "ĠIslam ic", + "Ġmethod s", + "ĠM and", + "Ġrepresent ative", + "ĠO ak", + "secut ive", + "ĠEn vironment", + "Ġexp ansion", + "Ġrepresent ing", + "Ġfl ow", + "ĠA C", + "Ġvol ume", + "Ġcons um", + "g or", + "Ġsubsequ ent", + "Ġd aily", + "Ġinh abit", + "Ġactress es", + "ĠOffic er", + "Ġloc ations", + "Ġproper ties", + "ĠFreder ick", + "ĠSam uel", + "Ġg od", + "Ġf ought", + "0 9", + "Ġattempt s", + "ag an", + "we et", + "ĠN atural", + "ĠB erg", + "Ġro of", + "Ġbro ke", + "Ġra in", + "ĠInd ependent", + "ĠAl an", + "Ġmach ine", + "gh an", + "Ġte le", + "Ġsim ple", + "ist a", + "ĠD al", + "en h", + "ĠF ern", + "Ġtre es", + "ĠS ky", + "ag ues", + "ĠEx press", + "Ġsched uled", + "ris is", + "le ts", + "Ġv ent", + "ĠR ivers", + "Ġfrequ ently", + "Ġresp ond", + "ĠIn formation", + "ĠR ab", + "ĠMus ical", + "Ġsh ared", + "p o", + "Ġb urn", + "ab ad", + "ĠB an", + "Ġretire ment", + "im ents", + "ĠPit ts", + "Ġcandid ates", + "ĠM aur", + "ile y", + "Ġw ear", + "Ġex clus", + "ĠWh it", + "Ġj azz", + "Ġop pon", + "Ġst ock", + "Ġ ;", + "in er", + "ĠR oc", + "P A", + "ĠY our", + "P S", + "5 2", + "ĠCl ark", + "ĠAnd re", + "Ġmem ory", + "5 3", + "os ed", + "Ġpie ce", + "Ġs pect", + "d on", + "Ġconver ted", + "Ġrel atively", + "an ia", + "Ġdr iver", + "Ġsom ething", + "ĠWel sh", + "a ctions", + "Ġstra ight", + "Ġch ampions", + "Ġliter ary", + "Ġpresident ial", + "Ġqual ified", + "Ġeffect ive", + "ĠPh ill", + "ĠJ ordan", + "Ġcop ies", + "Ġdef in", + "Ġg uns", + "5 4", + "ig ation", + "Ġunder st", + "us es", + "Ġm is", + "Ġwin ter", + "stitut ional", + "ĠB ird", + "Ġl it", + "ĠP un", + "ĠU N", + "l ong", + "ĠL I", + "ĠD h", + "ĠK a", + "ĠEx ecutive", + "Ġch urches", + "Ġ3 00", + "ie val", + "Ġm orning", + "Ġdr ive", + "Ġult imately", + "enn y", + "ĠAl ban", + "Ġinc ident", + "ip ients", + "n i", + "op ter", + "ĠB ou", + "ĠDo ctor", + "o en", + "Ġin aug", + "Ġgirl s", + "r um", + "ĠIndones ia", + "Ġfoc used", + "ĠIn ternet", + "Ġapp oint", + "Ġdrop ped", + "ĠA ge", + "Ġpol ic", + "Ġtr ust", + "Ġdom estic", + "Ġres c", + "Ġoccup ied", + "ĠHot el", + "Ġdef ense", + "Ġc overs", + "Ġend s", + "8 4", + "ĠG ard", + "Ġf aced", + "ĠM iami", + "ud i", + "ĠVill age", + "Ġperform ing", + "in burgh", + "ent ed", + "g ment", + "Ġshort ly", + "ĠComp et", + "Ġneg oti", + "ĠL am", + "ĠE ag", + "Ġcateg ory", + "Ġr ang", + "ĠC ricket", + "Ġent itled", + "Ġprof ile", + "ĠBo x", + "od ox", + "ĠSchool s", + "f all", + "Ġalle ged", + "ph as", + "ĠSqu are", + "ĠAdminist ration", + "o a", + "az a", + "l ad", + "Ġrecogn ition", + "ĠC ultural", + "ord ers", + "Ġ4 6", + "Ġcon secutive", + "w ise", + "Ġop posed", + "A M", + "0 4", + "U S", + "Ġre ar", + "ĠD ave", + "Ġa st", + "ĠU C", + "Ġch o", + "Ġse em", + "an es", + "ig e", + "Ġh arm", + "Ġprot est", + "ĠPri or", + "ĠPal est", + "stru cture", + "al ty", + "ĠF und", + "Ġ iron", + "ĠK ey", + "Ġsett ing", + "Ġcons ult", + "Ġtouch down", + "Ġ4 3", + "ĠC all", + "Ġdec or", + "ĠVill ages", + "Ġlearn ing", + "ĠIm perial", + "ĠK er", + "ĠD ak", + "ffic ient", + "og en", + "Ġin ternal", + "ik i", + "Ġident ity", + "ĠD ublin", + "199 8", + "ĠAcadem ic", + "ud get", + "ĠB ureau", + "Ġhe ight", + "Ġs um", + "Ġkill ing", + "Ġinvestig ation", + "or ough", + "ĠP ope", + "ĠF arm", + "p ret", + "Ġmic ro", + "Ġact s", + "Ġperman ent", + "ful ly", + "Ġmax imum", + "Ġ189 0", + "ĠOr th", + "Ġair port", + "aw n", + "ĠL anc", + "o ok", + "7 2", + "Ġpre par", + "ĠBudd h", + "en z", + "Ġgu ard", + "ĠD a", + "l ov", + "Ġb ul", + "d ale", + "Ġcon vers", + "Ġcontribut ed", + "Ġemploy ed", + "st ream", + "B l", + "ĠAthlet ics", + "Ġfield s", + "Ġ4 00", + "Ġhot el", + "ĠM ach", + "ĠPro f", + "Ġappl ication", + "ĠUp on", + "ĠOn ly", + "or ia", + "ĠMo ore", + "sc ape", + "ĠPr iv", + "Ġlett ers", + "m it", + "Ġlaw yer", + "Ġcorn er", + "20 20", + "ĠStud ios", + "ĠL ast", + "ac ent", + "\" ),", + "5 9", + "ĠI S", + "Ġhe ro", + "Ġenvironment al", + "ow nt", + "ay an", + "ĠIn n", + "Ġk il", + "ĠTam il", + "Ġ4 9", + "7 4", + "Ġnorm al", + "Ġland s", + "Ġher self", + "ĠMr s", + "Ġpaint ings", + "Ġoffic es", + "ĠArk ansas", + "ĠD ark", + "Ġinst all", + "ot te", + "g ency", + "ĠF M", + "ail and", + "ĠS ud", + "ĠT ig", + "Ġdeterm ined", + "Ġon to", + "Ġeconom y", + "Ġs ust", + "a ver", + "G en", + "Ġre in", + "ĠD all", + "Ġviol ence", + "Ġs ense", + "ĠRober ts", + "ĠSh ar", + "Ġspe ech", + "ĠC ru", + "ĠMalays ia", + "ĠM em", + "Ġcolle cted", + "Ġtechn ical", + "Ġocc urs", + "Ġestablish ment", + "Ġmult i", + "Ġvir t", + "Ġro t", + "ĠCl in", + "Ġbe gin", + "Ġsy nt", + "ĠD C", + "8 1", + "ĠV enez", + "ĠF riend", + "Ġext ensive", + "ĠC er", + "ĠAn na", + "Ġaltern ative", + "ĠL ang", + "ĠDep uty", + "red ited", + "ĠMatt hew", + "ĠEd inburgh", + "ĠGl obal", + "Ġcomp ris", + "ic ts", + "Ġcomp ar", + "ĠHaw ai", + "ap pe", + "ĠC our", + "ĠE ner", + "ĠL ith", + "199 7", + "le ep", + "ĠB art", + "Ġmer ch", + "ĠL yn", + "ĠCommun ist", + "ĠF em", + "7 9", + "6 1", + "Ġim pr", + "ĠBel gian", + "ĠBow l", + "ĠN el", + "ra c", + "Ġenc oura", + "Ġs ay", + "Ġmerg ed", + "ww w", + "at ab", + "ol o", + "Ġs an", + "p oint", + "ĠD VD", + "Ġdo ctor", + "f e", + "se ud", + "ĠSt ew", + "7 1", + "le ase", + "vel and", + "ĠG arden", + "ĠPlay ers", + "Ġj ur", + "Ġhigh way", + "Ġpower ful", + "Ġsupport ing", + "ĠSing h", + "Ġpoet ry", + "Ġstri ke", + "ĠOr chestra", + "ol y", + "ĠKe vin", + "Ġdyn asty", + "Ġarran g", + "olle y", + "ill ing", + "GB T", + "Ġse ctor", + "iss ance", + "Ġc as", + "ĠFin land", + "Ġen joy", + "d i", + "Ġav oid", + "Ġcent uries", + "Ġst adium", + "ĠG ian", + "ĠC ow", + "Ġgen eration", + "ĠComm ander", + "ĠMay or", + "Ġo x", + "Ġexpress ed", + "Ġf ranch", + "ĠR ow", + "im ore", + "ĠM oon", + "Ġ190 9", + "ĠAlf red", + "Ġgl ass", + "ĠP ra", + "ograph ical", + "Ġf ashion", + "Ġres igned", + "Ġc reat", + "ad ow", + "ĠSc ient", + "ĠT it", + "d ie", + "Ġre ign", + "ĠD ick", + "S p", + "Ġhold ing", + "Ġpartn ership", + "20 21", + "Ġ190 5", + "8 3", + "Ġcontra st", + "Ġpat ients", + "ĠDon ald", + "Ġapp arent", + "Ġmat ter", + "Ġ190 6", + "Ġp and", + "0 3", + "ĠP a", + "ĠJoh ann", + "Ġplann ing", + "Ġa uth", + "Ġbe yond", + "D e", + "Ġr ing", + "ĠH ills", + "Ġdec re", + "Ġm and", + "ren a", + "ac he", + "inc orporated", + "eng ers", + "Ġ3 9", + "oy d", + "Ġsp ok", + "Ġm arg", + "ĠSh ah", + "Ġfin ishing", + "Ġph ase", + "Ġpie ces", + "our ney", + "Ġre asons", + "Ġabandon ed", + "n ote", + "Ġcerem ony", + "Ġen emy", + "ĠPro du", + "Ġf uel", + "Ġs ought", + "r ine", + "ĠG on", + "Ġweap ons", + "ĠHon ours", + "E A", + "ĠQ ual", + "Ġind ependence", + "ry st", + "Ġneed s", + "Ġval ley", + "' '", + "ĠFootball ers", + "ĠAlex and", + "8 2", + "Ġfun ctions", + "az ines", + "Ġvis ual", + "e qu", + "ism s", + "Ġinj ured", + "Ġk ick", + "st ead", + "Ġcast le", + "ĠW he", + "Ġsuccessful ly", + "ĠH unt", + "ĠLaw rence", + "Ġfail ure", + "Ġ190 7", + "Ġjun ior", + "Ġfl u", + "s et", + "ĠAtl anta", + "Ġeduc ational", + "ĠF u", + "Ġw alls", + "ram a", + "ĠR yan", + "f ound", + "Ġbro wn", + "Ġpra ised", + "Ġsec retary", + "ĠTh ailand", + "ic ide", + "ur ation", + "ĠG ri", + "ĠMont real", + "ra f", + "olog ies", + "ĠH ug", + "ist ant", + "ĠMic ro", + "Ġst ating", + "Ġfind s", + "ĠM ale", + "ob e", + "Ġr ival", + "Ġwrit e", + "ist ers", + "ia b", + "ĠWalk er", + "Ġcr iminal", + "Ġs ac", + "ĠT ourn", + "0 2", + "ĠLa ure", + "Ġm ind", + "f r", + "ĠE ven", + "Ġconstitu ency", + "ĠR ub", + "ĠThe n", + "Ġde ploy", + "ĠAl umni", + "ĠUt ah", + "Ġim pl", + "ĠN ob", + "bor ough", + "Ġslight ly", + "rom e", + "ĠL og", + "Ġinhabit ants", + "wh ile", + "cy cl", + "Ġeth nic", + "Ġconne ction", + "ĠMunicip al", + "ĠWh at", + "re ct", + "ap ted", + "Ġinv ited", + "Ġro ugh", + "Ġt ry", + "199 6", + "ĠAg ric", + "199 0", + "ĠL iga", + "Ġregard ing", + "Ġback ing", + "og y", + "alle l", + "Ġw ays", + "ĠE nt", + "Ġinv asion", + "Ġwe alth", + "Ġfund ing", + "Ġprov ision", + "ĠF al", + "Ġs and", + "ĠL GBT", + "f rom", + "Ġref ers", + "I N", + "Ġh ydro", + "ĠK ings", + "Ġprogram me", + "Ġf resh", + "f riend", + "ĠAf ghan", + "act ive", + "ĠRel ig", + "if ul", + "ĠCle veland", + "ĠN av", + "Ġste el", + "on i", + "ĠI ce", + "ĠArgent ine", + "Ġdevelop ing", + "Ġpol y", + "6 3", + "Ġvot ed", + "199 5", + "Ġh yp", + "ul es", + "Ġder ived", + "D P", + "Ġpri est", + "Ġord ers", + "ĠMc K", + "ant asy", + "che ll", + "ĠCh ampion", + "ĠN ep", + "Ġent rance", + "Ġtown ship", + "c ome", + "Ġrelig ion", + "R C", + "Ġad ult", + "Ġh ired", + "ĠL iver", + "I t", + "ĠMP s", + "ĠPitts burgh", + "Ġpublic ations", + "Ġam b", + "ĠP as", + "Ġpass enger", + "Ġtemper ature", + "Ġadv ant", + "ĠH op", + "ĠO w", + "ĠSy m", + "ĠY ug", + "Ġpass ing", + "ĠB oys", + "r un", + "ĠP ur", + "f ather", + "Ġpremier ed", + "ĠRog er", + "fect ure", + "ĠRes erve", + "ĠSt age", + "Ġcall s", + "ĠC hem", + "ĠP rom", + "n ia", + "Ġnucle ar", + "ĠM ission", + "h ard", + "ĠMarg aret", + "and o", + "iam ond", + "ĠMet ropolitan", + "Ġ190 4", + "Ġp owers", + "Ġm el", + "Ġin stru", + "ĠD igital", + "v ements", + "Ġcaus ing", + "ĠW ard", + "ele ction", + "B I", + "or age", + "ĠE qu", + "Ġequ al", + "ĠSerb ian", + "7 3", + "Ġcl in", + "ish ops", + "ĠA M", + "ot ic", + "ĠI ron", + "ours es", + "ĠOtt oman", + "ĠG ene", + "ĠG ran", + "z er", + "Ġres erve", + "ĠRoman ian", + "ĠPet ers", + "Ġgen era", + "Ġinvol ving", + "ĠL l", + "Ġd a", + "Ġd ates", + "ĠB eat", + "6 2", + "ĠY an", + "ĠDis ney", + "ap olis", + "Ġfund s", + "ĠL et", + "Ġbo at", + "Ġem phas", + "ĠRail road", + "Ġc row", + "ĠS ac", + "Ġbas ic", + "ĠHung ary", + "ĠF el", + "Ġg ar", + "Ġesc ape", + "\" ).", + "ĠRoman ia", + "ĠJes us", + "ut ies", + "Ġpass es", + "Ġ *", + "Ġsele ction", + "ĠCom ics", + "Ġdec ades", + "ĠVenez uel", + "ĠR ick", + "us al", + "ĠF ight", + "ĠN AS", + "Ġprote ct", + "ĠM ult", + "ust er", + "Ġfle et", + "Ġconclud ed", + "Ġv o", + "Ġcont ained", + "pos es", + "ĠI mp", + "ter m", + "Ġpand emic", + "Ġv arian", + "Ġinc orporated", + "b urn", + "ĠGirl s", + "Ġy our", + "ĠM es", + "Ġp ed", + "ĠTransport ation", + "Ġ5 2", + "clus ion", + "Ġcompet e", + "Ġb ishop", + "ĠR io", + "Ġcompos ition", + "Ġtra v", + "ĠFinn ish", + "Ġm art", + "ĠS C", + "Ġdo ing", + "ĠBu ff", + "m ers", + "Ġregist ered", + "ĠWh o", + "is f", + "a fter", + "ĠFlor a", + "on omy", + "Ġadv oc", + "m at", + "s ki", + "Ġinflu enced", + "Ġinst alled", + "ĠD ance", + "s ong", + "ang er", + "ĠF all", + "ĠIn vest", + "' m", + "ĠHol lywood", + "ĠMic hel", + "av ed", + "Ġc ru", + "ĠSe attle", + "ĠN eb", + "Ġr ise", + "Ġtransl ation", + "Ġrequ est", + "ĠGr ant", + "Ġsome one", + "oth ing", + "Ġ188 0", + "% .", + "Ġsh ape", + "Ġe mp", + "A P", + "ap es", + "h ing", + "Ġexist ence", + "Ġo vers", + "n ers", + "Ġw arn", + "n et", + "uk i", + "Ġworld wide", + "Ġjoin ing", + "re es", + "Ġl aid", + "ĠR y", + "n ight", + "ĠR ights", + "Ġa id", + "ra cy", + "or f", + "ograph ics", + "Ġobserv ed", + "ĠMet ro", + "II I", + "Ġarg ued", + "Ġform al", + "Ġsc enes", + "W e", + "Ġview s", + "Ġemploy ees", + "ĠN et", + "Ġw atch", + "Ġdet ails", + "z i", + "Ġp ione", + "Ġconsist ing", + "Ġexper ien", + "ĠV eg", + "Ġmain tained", + ") \"", + "ĠP rad", + "re te", + "ĠCam er", + "ĠDef ense", + "Ġhom es", + "ĠT ak", + "hemat ics", + "ĠBalt imore", + "ĠF ive", + "ri k", + "Ġprom ote", + "Ġb odies", + "ĠB ull", + "or ro", + "ĠOb last", + "Ġan th", + "el and", + "Ġeng aged", + "Ġan aly", + "ĠEner gy", + "Ġrecord ings", + "ownt own", + "ret t", + "Ġcar ry", + "Ġ190 3", + "Ġsup erv", + "ĠPubl ishing", + "c ia", + "Ġanim al", + "ĠSe ction", + "L C", + "ĠBru ce", + "Ġdr ivers", + "Ġs oci", + "Ġsol id", + "un ction", + "Ġbir ds", + "ĠMar ie", + "ĠAr n", + "ĠCh amber", + "Ġsc ale", + "Ġstart s", + "Ġanim ated", + "h ar", + "ĠG a", + "ĠS af", + "S c", + "ĠMor gan", + "Ġstat ement", + "Ġcricket ers", + "Ġt or", + "ĠU E", + "Ġacc used", + "ra structure", + "as a", + "Ġband s", + "Ġop in", + "6 9", + "ĠPal ace", + "ĠTh ough", + "Ġcon stant", + "ĠColon el", + "r ations", + "ĠA y", + "idd en", + "Ġheav ily", + "ĠK an", + "ĠF ried", + "ĠR acing", + "Ġsur vey", + "Ġp ull", + "Ġqu ant", + "O R", + "Ġn om", + "Ġ5 1", + "ĠRuss ell", + "bass ador", + "un c", + "emb le", + "ĠWrit ers", + "Ġch air", + "ol t", + "Ġre aching", + "ell i", + "ĠB uck", + "st ar", + "ĠH ere", + "Ġtra ined", + "ov o", + "ang el", + "Ġso le", + "ĠKn ight", + "Ġpl ot", + "ul ate", + "ĠR ot", + "ĠCl ar", + "Ġad vent", + "Ġprote in", + "le te", + "ur day", + "Ġt ropical", + "Ġ5 5", + "ol ph", + "ĠP ear", + "pect ive", + "ĠOper ation", + "Ġspec ifically", + "ect s", + "ĠKel ly", + "Ġfound ation", + "Ġstand ards", + "Ġb atter", + "Ġass ess", + "Ġext rem", + "l on", + "ond er", + "Ġt rying", + "Ġ190 2", + "Ġ190 1", + "Ġarch ae", + "Ġeff ic", + "Ġcom ic", + "od a", + "ival ent", + "ĠSoc cer", + "p ers", + "ĠPe ace", + "Ġaff ected", + "ĠCro wn", + "ĠLe v", + "ĠChrist opher", + "id el", + "Ġb an", + "ch t", + "Ġchem ical", + "Ġis lands", + "Ġun cle", + "ĠF A", + "erb ai", + "Ġag ency", + "ĠD yn", + "h op", + "ather ine", + "ĠEx t", + "Ġimport ance", + "=\" #", + "ĠR est", + "it als", + "Ġbehav ior", + "ĠV ik", + "Ġtw elve", + "Ġvol unte", + "ĠP ad", + "Ġt un", + "Ġcomp ut", + "Ġt end", + "ĠYug oslav", + "arg o", + "ĠBanglades h", + "ĠPrin cess", + "Ġexp ed", + "t hen", + "d o", + "Ġto ward", + "Ġimpro ve", + "it ations", + "ĠP atri", + "Ġs ale", + "Ġm ent", + "ĠAd vent", + "ann ed", + "t op", + "et ies", + "int end", + "Ġhe ard", + "ĠDe an", + "ĠCo le", + "ĠLe ban", + "Ġtransl ated", + "Ġw rest", + "I V", + "ĠBroad cast", + "Ġv ide", + "ĠDe ad", + "Ġreb u", + "ĠPerson nel", + "ĠR and", + "Ġobject s", + "ĠStud io", + "or us", + "ine a", + "Ġh air", + "ĠMed icine", + "ĠP y", + "ash i", + "ĠMunicip ality", + "Ġs ession", + "ĠStew art", + "199 4", + "ĠYear s", + "ir t", + "ĠR an", + "Ġintro duction", + "aught ers", + "Ġre ality", + "Ġshe ll", + "Ġreg iment", + "Ġeng ines", + "ĠE ver", + "ĠFI FA", + "Ġneg ative", + "Ġl at", + "Ġse venth", + "Ġrece ption", + "ĠGl as", + "Ġpaint ers", + "ĠM aj", + "us cript", + "go ing", + "Ġde leg", + "ĠC are", + "Ġdep uty", + "ĠVi enna", + "own ed", + "Ġres istance", + "ann y", + "Ġw eather", + "Ġstr ateg", + "Ġsecond s", + "Ġcollabor ation", + "ĠCE O", + "ud a", + "ĠK on", + "Ġlic ens", + "Ġth row", + "Ġa head", + "es c", + "ĠHamp shire", + "bo ards", + "Ġar med", + "com ing", + "Ġn ick", + "Ġ4 7", + "b r", + "Ġ ille", + "Ġ {", + "ĠS ign", + "ĠMar ket", + "Ġdescrib es", + "Ġposs ess", + "ĠO ri", + "Ġad apted", + "ĠTourn ament", + "ĠL en", + "wh ite", + "Ġrul ed", + "ĠL ib", + "ĠB ed", + "ĠAss oci", + "ĠNe v", + "ĠTr ade", + "g ow", + "Ġproduc ing", + "os m", + "Ġext ension", + "est yle", + "Ġm ole", + "Ġaccom pan", + "ĠLith uan", + "ĠAng l", + "umb ent", + "Ġdist inct", + "ĠT rad", + "Ġz one", + "Ġbrief ly", + "D A", + "uss ion", + "ĠMe an", + "us hed", + "Ġd ivers", + "Ġp rice", + "Ġprov ed", + "Ġfact ory", + "ĠNel son", + "am ic", + "Ġ ri", + "ĠP sych", + "ĠG ill", + "le vel", + "Ġcall ing", + "C l", + "am an", + "ĠAz erbai", + "ĠE ston", + "ĠH orn", + "Ġdivision s", + "em en", + "Ġ ere", + "Ġentire ly", + "Ġpri ze", + "Ġste am", + "ĠPh ot", + "ĠO ur", + "Ġmar ine", + "ĠA T", + "ĠCamp bell", + "Ġcompos ers", + "Ġrev olution", + "ĠDall as", + "ĠLiver pool", + "Ġex erc", + "ink ing", + "Ġim ages", + "Ġle ct", + "M ar", + "ĠMain e", + "ĠSup port", + "Ġg ain", + "Ġclos ely", + "Ġup d", + "ĠConserv ative", + "aval ry", + "olley ball", + "ĠCh airman", + "in cluding", + "ĠOn ce", + "in ian", + "ĠAthlet ic", + "Ġschol ars", + "b al", + "Ġres idence", + "ect ive", + "Ġagric ultural", + "ĠA rena", + "ĠEconom ic", + "ĠH end", + "ming ham", + "ĠD od", + "ĠThom pson", + "ĠCarl os", + "ell ite", + "am s", + "Ġr ating", + "Ġch ose", + "duc ing", + "199 3", + "ĠAust in", + "ĠSar ah", + "ĠD ra", + "Ġnorth west", + "ĠK ra", + "ic it", + "Ġcaus es", + "Ġappl ications", + "ĠJim my", + "ah n", + "Ġdist in", + "Ġed ited", + "Ġinter ior", + "as ka", + "ov ation", + "ĠE very", + "Ġp ages", + "d y", + "Ġcontribut ions", + "Ġide as", + "Ġac id", + "ĠEp is", + "ĠNor man", + "ab y", + "ĠC hen", + "ĠF ood", + "Ġsur g", + "ĠM ethod", + "ĠAll iance", + "Ġsh all", + "th m", + "ina e", + "ĠW right", + "Ġm ilit", + "Ġdoc uments", + "ĠCom ple", + "ĠH ell", + "un ch", + "Ġcolon ial", + "Ġre duce", + "il er", + "Ġloc ality", + "Ġent ertain", + "Ġsymb ol", + "Ġin form", + "Ġcop y", + "Ġpass engers", + "ĠOrth odox", + "Ġdo or", + "f inal", + "ĠKenn edy", + "Ġfl at", + "Ġlead s", + "ĠUE FA", + "Ġproduc ers", + "ĠR ain", + "ĠPl at", + "Ġed ge", + "Ġdis miss", + "ĠAg ency", + "Ġp up", + "Ġopportun ity", + "in ch", + "ate gy", + "20 22", + "Ġathlet es", + "Ġ189 8", + "Ġch oice", + "Ġem ot", + "Ġg arden", + "inn er", + "Ġrail road", + "Ġbelie ve", + "Ġcharg es", + "Ġ5 4", + "aut iful", + "Ġgradu ate", + "og ether", + "199 2", + "Ġc rown", + "ins ula", + "Ġroad s", + "Ġstreng th", + "ent ially", + "ĠR ud", + "ĠBe ck", + "ĠO m", + "ĠN ord", + "ir i", + "Ġregard ed", + "Ġtechn iques", + "Ġw itness", + "Ġposs ibly", + "ĠOper a", + "p erson", + "ĠE mer", + "ĠAdam s", + "ĠL ower", + "ph a", + "Ġcomp ilation", + "ĠBrook lyn", + "ult an", + "W est", + "ĠB omb", + "Ġdebut ed", + "Ġpro ced", + "Ġinter ests", + "rane an", + "ĠSen ator", + "Ġon es", + "ĠK it", + "am o", + "uc ks", + "v ia", + "ĠFrank lin", + "Ġg etting", + "Ġres ign", + "ĠAp p", + "ar us", + "ĠBern ard", + "Ġimpro ved", + "Ġre ally", + "ĠB illy", + "ĠG ulf", + "ĠD ub", + "ĠN ash", + "Ġm ist", + "ph ony", + "at ures", + "ĠDem ographics", + "Ġcomm itted", + "ĠSerb ia", + "et ime", + "h aps", + "Ġa er", + "Ġoper ate", + "Ġdist ributed", + "Ġf lying", + "Ġan cest", + "ĠCo oper", + "ĠVol ume", + "aw are", + "ĠPort land", + "ob a", + "or ial", + "ter ed", + "Ġref uge", + "ĠRob inson", + "ĠTr ump", + "ĠDak ota", + "ĠCat al", + "ĠCon stitution", + "Ġadj acent", + "el er", + "ĠN am", + "Ġparticip ate", + "a ire", + "Ġf ine", + "ĠLI NE", + "ĠBir mingham", + "Ġc ore", + "le e", + "Ġsing ing", + "ĠP ir", + "ĠH om", + "Ġa x", + "Ġint elligence", + "ĠStan ley", + "are st", + "ĠBrother s", + "ĠI van", + "in ate", + "p en", + "Ġfav our", + "ĠW restling", + "p ir", + "Ġcon vent", + "Ġus ers", + "Ġw aters", + "Ġen l", + "Ġ15 0", + "Ġ189 9" + ] + } +} \ No newline at end of file diff --git a/models/components/layers/tokenizer_models/bpe_en_wiki_980_simplified.model b/models/components/layers/tokenizer_models/bpe_en_wiki_980_simplified.model new file mode 100644 index 00000000..8b9b4a3d --- /dev/null +++ b/models/components/layers/tokenizer_models/bpe_en_wiki_980_simplified.model @@ -0,0 +1,1954 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 0, + "content": "[PAD]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 1, + "content": "[EOT]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 2, + "content": "[UNK]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + } + ], + 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"ug h", + "i le", + "o ot", + "ol d", + "or s", + "Ġ19 8", + "ou ld", + "Ġa g", + "ĠE x", + "ad e", + "Ġre c", + "Ġp er", + "res s", + "u al", + "ur ing", + "f or", + "Ġs c", + "ent s", + "en ce", + "w ard", + "o in", + "w n", + "l es", + "Ġm an", + "ĠA s", + "Ġt wo", + "o y", + "Ġin clud", + "a ct", + "as ed", + "Ġd es", + "Ġbe c", + "i o", + "ch ool", + "on s", + "Ġh ave", + "w e", + "i ed", + "Ġ -", + "Ġ en", + "ct ed", + "o b", + "Ġth is", + "er n", + "v el", + "Ġal l", + "on e", + "ing s", + "Ġ 5", + "a il", + "Ġf ilm", + "ur n", + "as e", + "Ġcom m", + "ar k", + "Ġbe en", + "in d", + "is ion", + "Ġ19 7", + "g h", + "ou th", + "Ġo ther", + "ic s", + "t ed", + "Ġa fter", + "Ġd is", + "ur y", + "ĠS h", + "u ch", + "Ġ im", + "el y", + "g an", + "r al", + "is hed", + "f t", + "e ct", + "Ġof f", + "re n", + "a h", + "ivers ity", + "re d", + "o h", + "ab le", + "Ġs p", + "os e", + "an ce", + "Ġl in", + "Ġs erv", + "Ġo ut", + "Ġ up", + "Ġp eople", + "on t", + "or ld", + "o od", + "Ġ ra", + "Ġs he", + "Ġo ver", + "pe c", + "c ent", + "Ġn e", + "ion s", + "ri b", + "Ġ19 6", + "am es", + "ĠP ro", + "ĠO n", + "w ay", + "Ġe v", + "Ġn ew", + "t on", + "as on", + "al e", + "Ġ und", + "ol og", + "Ġ 6", + "ĠUn ited", + "r am", + "Ġl oc", + "Ġe le", + "oot ball", + "ĠI nd", + "d u", + "Ġthe y", + "Ġw ork", + "ist s", + "an s", + "ol le", + "e b", + "Ġint o", + "c he", + "Ġt ra", + "ces s", + "Ġ Z", + "Ġp re", + "Ġg ro", + "or th", + "ĠUn iversity", + "er al", + "ou gh", + "Ġa ct", + "Ġat t", + "c k", + "tern al", + "e p", + "ic t", + "ak e", + "Ġse c", + "ĠA n", + "Ġt ime", + "Ġb u", + "a z", + "i k", + "Ġc an", + "il y", + "ran s", + "Ġund er", + "ĠC l", + "ro ugh", + "i el", + "i x", + "ic k", + "v i", + "Ġp ol", + "d uc", + "p r", + "ĠS c", + "ĠE ng", + "in ce", + "v e", + "ou n", + "if e", + "Ġte am", + "Ġlin ks", + "Ġplay ers", + "al s", + "oc i", + "r ad", + "Ġre g", + "Ġp ubl", + "ot h", + "Ġ19 4", + "Ġk n", + "id ent", + "ĠEx ternal", + "sh ip", + "for m", + "Ġh im", + "Ġb et", + "at t", + "Ġas s", + "ĠS he", + "in n", + "at ive", + "Ġ 7", + "i er", + "a j", + "1 8", + "ou se", + "in s", + "em b", + "Ġp r", + "it ies", + "us e", + "oll ow", + "in a", + "Ġ19 5", + "Ġw ould", + "Ġc o", + "an n", + "ĠT e", + "o ber", + "Ġe st", + "Ġwhe n", + "us ic", + "Ġag ain", + "l l", + "Ġc ent", + "Ġo p", + "Ġyear s", + "we en", + "er ies", + "c ed", + "Ġcon s", + "ro und", + "res ent", + "over n", + "at ing", + "Ġwhe re", + "Ġd uring", + "Ġre t", + "Ġm ore", + "Ġin d", + "ab l", + "Ġ1 7", + "Ġb o", + "iv ing", + "ra ph", + "ar ly", + "b um", + "d er", + "ĠJ oh", + "Ġs ub", + "a ir", + "Ġst ud", + "an y", + "Ġfor m", + "Ġs up", + "Ġ20 2", + "Ġg en", + "ĠTh is", + "Ġm e", + "ĠP l", + "Ġ qu", + "ĠC ount", + "ĠSt ates", + "Ġf ootball", + "Ġf ound", + "Ġ 8", + "ion al", + "oc k", + "ar l", + "Ġre le", + "Ġf l", + "c c", + "Ġs pec", + "en n", + "as h", + "Ġon ly", + "Ġbet ween", + "i am", + "ag ue", + "Ġf am", + "Ġb ir", + "Ġre l", + "re at", + "ĠF or", + "Ġse ason", + "p ro", + "Ġ Q", + "e at", + "ist ric", + "ĠA t", + "op ul", + "Ġs y", + "ĠN ational", + "ĠW ar", + "Ġ ed", + "ist ory", + "Ġar t", + "if ic", + "ĠS p", + "s on", + "ĠCom m", + "er man", + "ĠI s", + "Ġab out", + "ĠA ust", + "Ġth ree", + "ĠJoh n", + "\" .", + "Ġin ter", + "Ġm ost", + "ct or", + "f ore", + "ĠW orld", + "le y", + "ĠF ran", + "ĠP h", + "th s", + "ĠC on", + "Ġre m", + "Ġf ollow", + "Ġ 9", + "Ġm ade", + "Ġal bum", + "Ġl ater", + "Ġs ing", + "Ġth rough", + "iel d", + "in ist", + "un e", + "om en", + "Ġ end", + "Ġ1 0", + "iv er", + "iv ed", + "ĠB e", + "ers on", + "r on", + "Ġsec ond", + "Ġthe m", + "ro s", + "ĠB rit", + "ĠB l", + "og raph", + "Ġw rit", + "ĠM ay", + "an k", + "us s", + "Ġn um", + "Ġm ov", + "Ġthe re", + "Ġ19 3", + "Ġthe n", + "Ġd ire", + "m p", + "ĠC an", + "Ġde f", + "Ġus ed", + ". \"", + "ĠJ an", + "er m", + "ow er", + "es e", + "vel op", + "u res", + "he n", + "Ġrec ord", + "ar g", + "Ġin v", + "em ent", + "istric t", + "Ġt rans", + "os s", + "t en", + "Ġs o", + "er t", + "Ġm ed", + "e e", + "ar i", + "Ġ1 6", + "ar s", + "Ġs chool", + "Ġkn own", + "Ġs et", + "a i", + "ĠCount y", + "ĠA d", + "y s", + "\" ,", + "Ġ ent", + "Ġbec ame", + "2 00", + "Ġs uch", + "st it", + "Ġest abl", + "ĠO r", + "Ġ1 5", + "Ġa m", + "is m", + "ĠS outh", + "ĠG e", + "Ġpro v", + "c y", + "ur al", + "it s", + "Ġp h", + "Ġin c", + "ment s", + "Ġth an", + "ĠS chool", + "amp ion", + "tern ational", + "u ro", + "ĠG erman", + "ĠM e", + "a x", + "is e", + "Ġf our", + "p os", + "Ġ &", + "ĠN ov", + "Ġs eries", + "ĠJ u", + "Ġbe ing", + "Ġs ome", + "ur ch", + "Ġle ad", + "Ġ| -", + "Ġb l", + "Ġp opul", + "Ġ .", + "e ver", + "ĠW est", + "ut e", + "Ġc all", + "Ġs ong", + "ay s", + "Ġinclud ing", + "ot her", + "j ect", + "le t", + "et h", + "Ġgro up", + "Ġagain st", + "a e", + "Ġw ell", + "are er", + "Ġd o", + "i ke", + "Ġap pe", + "ĠP ol", + "ĠA fter", + "b orn", + "Ġde ath", + "ug ust", + "Ġac c", + "ar ri", + "Ġc ount", + "t y", + "Ġc re", + "ction s", + "ian s", + "ĠP r", + "u ary", + "ĠW h", + "am ed", + "pt ember", + "ĠAust ral", + "v en", + "st em", + "at her", + "t il", + "ĠY ork", + "ar n", + "ire d", + "ul l", + "b y", + "m y", + "er ed", + "r id", + "ver y", + "ut ion", + "e y", + "ĠA ugust", + "Ġbe fore", + "ĠBrit ish", + "Ġre ce", + "= \"", + "ĠO ct", + "el s", + "Ġ1 2", + "Ġad d", + "Ġwh ile", + "r ist", + "Ġs ur", + "ĠSe ptember", + "Ġs ign", + "Ġpol it", + "iv es", + "ĠMar ch", + "overn ment", + "00 0", + "Ġb ro", + "Ġde c", + "Ġsh ow", + "ĠC ent", + "a id", + "Ġoff ic", + "Ġbu ild", + "Ġde velop", + "Ġo per", + "ĠOct ober", + "olog y", + "Ġg o", + "el f", + "Ġfam ily", + "Ġun til", + "Ġc ap", + "le v", + "ĠM an", + "x t", + "Ġm usic", + "Ġm ay", + "pr il", + "iz ed", + "ow ever", + "ĠJ une", + "a u", + "r and", + "Ġo wn", + "f ess", + "Ġn o", + "Ġre p", + "ĠJan uary", + "ic a", + "Ġor ig", + "er y", + "Ġm ain", + "m ber", + "Ġm od", + "Ġh igh", + "ĠAs s", + "ĠJu ly", + "en g", + "ĠAl l", + "Ġbir ths", + "emb ers", + "ĠC ar", + "1 0", + "l ish", + "ist or", + "Ġch ar", + "Ġb oth", + "ĠN orth", + "Ġplay ed", + "olle ge", + "Ġm on", + "Ġman y", + "Ġnum ber", + "ot t", + "et s", + "ĠC o", + "ĠLe ague", + "Ġex p", + "om an", + "Ġn ame", + "ut h", + "ampion ship", + "ĠA pril", + "cent ury", + "ward s", + "Ġb ack", + "Ġ19 2", + "ant s", + "v ed", + "i ent", + "ĠCan ad", + "ĠE uro", + "it t", + "ĠSe e", + "Ġrele ased", + "ce mber", + "Ġe m", + "st ru", + "ĠG u", + "ain ed", + "ĠB o", + "en e", + "i or", + "p le", + "Ġg u", + "g ram", + "1 7", + "ĠE d", + "is c", + "Ġfor mer", + "ĠC ol", + "ĠNov ember", + "it al", + "Ġse ver", + "iss ion", + "ĠA m", + "ĠEng lish", + "Ġan n", + "Ġw on", + "i um", + "in es", + "e c", + "he s", + "port s", + "Ġdes ign", + "p or", + "ic ip", + "ce pt", + "ĠRe g", + "ĠW ill", + "ĠDe cember", + "Ġm at", + "ĠC ity", + "Ġ1 4", + "ra ct", + "ĠF l", + "aj or", + "Ġdes c", + "y l", + "ros s", + "Ġ1 3", + "Ġl ife", + "Ġare a", + "im es", + "ir d", + "Ġst art", + "ĠC al", + "ĠA f", + "Ġor gan", + "r is", + "duc ed", + "Ġop en", + "Ġf eat", + "are d", + "ĠSt ate", + "re t", + "f l", + "Ġg ame", + "ag es", + "Ġd if", + "v ent", + "res ident", + "Ġr un", + "k et", + "u es", + "Ġfilm s", + "l ed", + "ro p", + "Ġpro du", + "p art", + "Ġ1 1", + "ar m", + "et y", + "Ġm en", + "Ġ201 0", + "Ġcl ass", + "ograph y", + "Ġ2 1", + "y le", + "Ġex t", + "ap an", + "il t", + "eb ru", + "Ġs m", + "lev ision", + "ebru ary", + "Ġpubl ic", + "un g", + "ĠK ing", + "ĠI I", + "Ġst ate", + "Ġsy stem", + "ĠP ar", + "Ġl ong", + "Ġo b", + "ual ly", + "Ġd r", + "ar ch", + "ĠB ro", + "f ul", + "Ġf inal", + "Ġc areer", + "il it", + "n er", + "ĠH is", + "Ġs ame", + "ul ar", + "an c", + "a use", + "Ġcall ed", + "am b", + "vi ew", + "Ġfollow ing", + "ĠF ebruary", + "in c", + "z e", + "ov e", + "y n", + "Ġret urn", + "Ġf in", + "on y", + "Ġc ity", + "Ġw ill", + "iv ision", + "ĠEuro pe", + "ĠS w", + "a f", + "h ip", + "Ġch ild", + "r at", + "al es", + "ak ing", + "Ġsever al", + "Ġcomm un", + "ren ch", + "il ity", + "Ġw omen", + "re nt", + "oin t", + "ĠM ed", + "or ks", + "ĠJ apan", + "s p", + "an ge", + "ch n", + "ial ly", + "c om", + "c on", + "ure d", + "Ġl ist", + "Ġs uc", + "ĠGe or", + "p ed", + "Ġe arly", + "Ġa ir", + "ĠB ar", + "Ġcont in", + "Ġ '", + "Ġto wn", + "Ġcomp et", + "Ġcl ub", + "ĠE l", + "Ġm in", + "Ġres ult", + "h am", + "ib le", + "1 2", + "ĠA nd", + "ĠH ar", + "ĠH istory", + "is ed", + "al ly", + "Ġs ince", + "ic es", + "ain s", + "st er", + "19 9", + "ĠThe y", + "ĠP art", + "b o", + "r ing", + "Ġn ear", + "ang u", + "Ġn amed", + "Ġorig inal", + "end ed", + "u ed", + "ĠCh rist", + "at a", + "Ġhe ad", + "ĠA b", + "1 6", + "Ġb el", + "Ġdis c", + "Ġpl ace", + "ĠF rench", + "id ed", + "i ence", + "Ġ201 1", + "ĠRe p", + "Ġc ur", + "Ġbe gan", + "il le", + "Ġt it", + "Ġus e", + "iv al", + "an e", + "re en", + "Ġpro gram", + "ĠU S", + "Ġv ill", + "Ġm ember", + "Ġm embers", + "1 5", + "Ġp rom", + "Ġhe ld", + "Ġan y", + "Ġl and", + "ĠCom p", + "Ġb ased", + "ain t", + "ĠR es", + "ĠM c", + "Ġthe se", + "Ġcomp le", + "b le", + "Ġap p", + "m e", + "Ġsup port", + "oun c", + "ĠAf ric", + "al ity", + "Ġg overnment", + "r ight", + "Ġ200 8", + "ĠR uss", + "Ġm et", + "Ġ201 2", + "Ġw e", + "ĠR o", + "a ugh", + "Ġ19 0", + "ĠA ir", + "Ġestabl ished", + "i ous", + "Ġal ong", + "Ġe ff", + "t he", + "Ġ ,", + "ĠE ast", + "ĠCh ampionship", + "Ġdesc rib", + "T he", + "in ess", + "Ġen g", + "ition s", + "ĠC ollege", + "Ġp ass", + "ĠWill iam", + "ĠG en", + "an a", + "od e", + ". .", + "Ġd ist", + "pe ct", + "al th", + "ad em", + "Ġ200 9", + "Ġloc ated", + "ur g", + "u k", + "ĠThe re", + "at or", + "ical ly", + "ĠH er", + "or m", + "ac ed", + "Ġd id", + "Ġl aw", + "in o", + "Ġc ol", + "Ġo cc", + "Ġchar act", + "che s", + "f ord", + "ĠAr t", + "c ol", + "at s", + "i en", + "ubl ic", + "ĠP eople", + "Ġp os", + "Ġy ou", + "Ġ201 3", + "ond on", + "ĠN e", + "oci ation", + "ĠIt al", + "Ġ200 6", + "Ġ200 7", + "Ġh ouse", + "Ġe ach", + "t o", + "ĠH igh", + "ing ton", + "ore d", + "Ġ201 4", + "ro w", + "Ġ201 6", + "Ġserv ed", + "our t", + "ĠF ilm", + "Ġto ok", + "qu e", + "Ġs im", + "k y", + "Ġ X", + "1 4", + "ĠRe c", + "Ġb and", + "Ġt r", + "Ġst ation", + "Ġh ome", + "ĠD istrict", + "Ġb us", + "av ing", + "ĠS y", + "ĠIn ternational", + "Ġb orn", + "Ġg ames", + "Ġn ational", + "m ed", + "ly mp", + "i et", + "ĠA c", + "Ġin st", + "Ġ201 5", + "re w", + "er g", + "Ġpro fess", + "in ed", + "Ġ201 8", + "ight s", + "p s", + "Ġcomp any", + "Ġl ine", + "Ġp erson", + "1 3", + "ĠO lymp", + "Ġpopul ation", + "Ġm ajor", + "Ġ18 9", + "ac es", + "our n", + "Ġ20 20", + "ĠD av", + "ill ion", + "ĠL iving", + "ĠL ondon", + "Ġ201 7", + "ĠSe c", + "Ġs l", + "Ġb as", + "Ġj oin", + "Ġsm all", + "Ġle g", + "Ġloc al", + "ĠInd ian", + "ĠL a", + "ard s", + "Ġv ari", + "Ġrece ived", + "Ġde b", + "Ġev ent", + "Ġ2 5", + "Ġgen eral", + "Ġman ag", + "Ġpubl ished", + "Ġte levision", + "ĠC up", + "et t", + "Ġcent ury", + "ĠN ot", + "ilit ary", + "s ide", + "et er", + "Ġ3 0", + "at ure", + "Ġ201 9", + "Ġsing le", + "Ġbu ilt", + "ĠS up", + "Ġv i", + "ĠPh il", + "a ul", + "Ġd ue", + "Ġc ould", + "Ġv ers", + "ĠH owever", + "Ġ $", + "Ġap pro", + "ar ge", + "Ġw orld", + "Ġspec ies", + "ar a", + "Ġc olle", + "um n", + "Ġsuc cess", + "ie f", + "ounc il", + "Ġp o", + "v ers", + "Ġst r", + "in t", + "Ġa round", + "ord ing", + "if ied", + "ĠA ng", + "uth or", + "id es", + "at ely", + "om in", + "ĠG l", + "Ġo ld", + "Ġed uc", + "ĠT r", + "arri ed", + "ĠL ist", + "ĠN o", + "Ġt erm", + "is on", + "ro l", + "ĠC or", + "um mer", + "Ġa ge", + "ff ic", + "l ing", + "ĠT ra", + "ĠH ouse", + "Ġhe l", + "Ġal ign", + "Ġe p", + "ord s", + "e f", + "oc ial", + "ĠP ark", + "r ation", + "Ġp resent", + "ĠP re", + "Ġle ft", + "Ġl ast", + "Ġs ix", + "ĠE n", + "Ġh istory", + "Ġn ow", + "i od", + "a im", + "Ġs aid", + "ĠS an", + "Ġt y", + "Ġ200 0", + "Ġrep resent", + "re et", + "a us", + "id d", + "ra ft", + "t t", + "Ġd ied", + "Ġplay er", + "op h", + "Ġ 0", + "Ġre st", + "1 1", + "Ġc amp", + "iz ation", + "ĠD uring", + "Ġc ar", + "Ġl a", + "um b", + "angu age", + "Ġto p", + "ne y", + "Ġp ar", + "ĠB r", + "on es", + "Ġvill age", + "Ġwith in", + "ĠM ich", + "Ġd et", + "iv en", + "Ġst yle", + "Ġf ive", + "Ġ200 5", + "Ġt ri", + "Ġn orth", + "Ġsh ort", + "Ġ2 4", + "v an", + "ĠR oy", + "Ġor der", + "ide o", + "Ġ18 8", + "Ġd ay", + "in k", + "ĠD es", + "o ks", + "et her", + "u f", + "Ġdescrib ed", + "ak es", + "s c", + "ow s", + "ur ther", + "19 8", + "ent ly", + "Ġth ird", + "Ġbuild ing", + "al k", + "Ġinclud e", + "ĠR iver", + "Ġinclud ed", + "Ġp ost", + "um ent", + "Ġd own", + "ast er", + "if orn", + "ĠP er", + "Ġdif fer", + "d ay", + "he m", + "ĠA g", + "Ġchild ren", + "Ġre port", + "ur s", + "ĠEng land", + "c o", + "ĠCh ar", + "Ġ202 1", + "att le", + "Ġre f", + "vi ous", + "Ġre qu", + "ĠS ch", + "ĠA ct", + "n a", + "er a", + "feren ce", + "Ġbec ause", + "ke y", + "t ain", + "iforn ia", + "Ġad m", + "ĠB y", + "th ough", + "Ġann oun", + "Ġl arge", + "Ġcons id", + "iv ely", + "re g", + "ĠG ro", + "ĠM al", + "Ġs outh", + "g round", + "Ġs on", + "ĠAustral ia", + "Ġ200 4", + "ic o", + "Ġd em", + "rid ge", + "ri end", + "Ġd istrict", + "ĠCal ifornia", + "l er", + "col or", + "Ġst and", + "ĠP ort", + "ĠB ra", + "Ġm ark", + "ĠM on", + "os p", + ". ,", + "use um", + "ct ure", + "Ġar ch", + "Ġp ower", + "inn ing", + "Ġst at", + "Ġbo ok", + "uc k", + "od y", + "ĠY ou", + "ĠPart y", + "en cy", + "Ġl o", + "Ġdeath s", + "ri pt", + "Ġ202 2", + "Ġc rit", + "ad io", + "it er", + "part ment", + "land s", + "in ing", + "Ġw ar", + "con om", + "um an", + "Ġappe ar", + "Ġc or", + "ĠD em", + "Ġm ale", + "Ġl arg", + "k a", + "Ġis s", + "ĠR oman", + "re st", + "Ġ18 6", + "Ġj ust", + "ist er", + "Ġ2 2", + "Ġre pl", + "ĠB el", + "c er", + "al d", + "al f", + "Ġw ater", + "Ġserv ice", + "g ed", + "Ġper iod", + "Ġn on", + "Ġper form", + "Ġadd ition", + "n ess", + "Ġres p", + "v es", + "Ġk ill", + "am ent", + "oci ety", + "ĠA nt", + "Ġde p", + "ee k", + "Ġv is", + "he l", + "our s", + "e le", + "Ġre fer", + "ĠS m", + "a ff", + "er ing", + "ĠO ne", + "Ġmov ed", + "ĠA ward", + "en se", + "Ġc r", + "ĠE m", + "Ġdiffer ent", + "iz e", + "Ġcur rent", + "ĠAustral ian", + "Ġro und", + "Ġl ike", + "ot e", + "rib ut", + "5 0", + "ĠAr my", + "Ġ2 3", + "Ġinc re", + "om b", + "Ġm illion", + "Ġl ed", + "k i", + "l ine", + "ĠN or", + "p ar", + "Ġt rad", + "Ġbus iness", + "am a", + "ĠA cc", + "t al", + "av y", + "her n", + "ĠM inist", + "Ġan other", + "Ġth ose", + "o on", + "Ġh istor", + "ĠR ober", + "op s", + "o f", + "Ġsh ip", + "Ġ18 7", + "Ġe qu", + "Ġst ill", + "and er", + "Ġ if", + "Ġf ather", + "Ġ el", + "Ġf ield", + "Ġw est", + "ĠJ ames", + "Ġd el", + "ĠInd ia", + "Ġex per", + "Ġa uthor", + "i ber", + "ĠM or", + "ĠSt e", + "d e", + "ep end", + "Ġf ac", + "c hed", + "iv il", + "Ġact iv", + "Ġh and", + "Ġcomp os", + "ĠCh urch", + "ĠM usic", + "Ġbe st", + "ĠGen eral", + "ĠFran ce", + "Ġp ort", + "Ġk m", + "o x", + "Ġannoun ced", + "Ġin ternational", + "Ġdeb ut", + "stru ction", + "Ġtit le", + "Ġcount ry", + "d om", + "ĠQ u", + "Ġs old", + "Ġf em", + "ĠTh om", + "Ġw in", + "as es", + "Ġ200 3", + "v ille", + "Ġ( )", + "Ġestabl ish", + "ĠY ear", + "19 7", + "u el", + "Ġcharact er", + "Ġe ast", + "Ġpolit ic", + "ĠGeor ge", + "ĠD ivision", + "f ield", + "un icip", + "us h", + "Ġs ide", + "c ast", + "Ġp at", + "Ġd ra", + "b e", + "ĠRoy al", + "Ġc ult", + "ourn al", + "ĠA p", + "an ish", + "re ad", + "Ġn ov", + "Ġa v", + "g color", + "Ġpre vious", + "ĠM ount", + "g in", + "Ġm ake", + "ĠEurope an", + "Ġ very", + "ri es", + "a el", + "ĠQ ue", + "ĠP e", + "ort hern", + "Ġa ward", + "ĠCl ub", + "ĠCanad ian", + "Ġset t", + "ug g", + "ĠAc adem", + "Ġele ction", + "Ġpro ject", + "ip p", + "l in", + "le x", + "ĠP al", + "Ġam ong", + "m s", + "ap p", + "ab or", + "Ġw orks", + "ĠV al", + "ĠG r", + "Ġ2 6", + "ĠCanad a", + "Ġ200 2", + "ĠE le", + "i us", + "ĠR ich", + "Ġf r", + "al ign", + "Ġro le", + "g es", + "Ġpro duced", + "ĠW hen", + "w ork", + "ĠP aul", + "Ġf e", + "Ġm ag", + "pl oy", + "for man", + "Ġle vel", + "ĠB u", + "o ff", + "Ġof ten", + "ol ution", + "Ġa ff", + "Ġl ate", + "Ġs pe", + "Ġre ad", + "Ġw eb", + "a pe", + "ĠDav id", + "ĠC ouncil", + "Ġth ough", + "Ġinv ol", + "Ġre se", + "Ġb gcolor", + "ĠF ootball", + "Ġp e", + "Ġ199 0", + "it ar", + "st on", + "at ch", + "Ġwrit ten", + "Ġex pl", + "Ġ2 8", + "Ġ2 7", + "or ies", + "im ent", + "ĠL ou", + "Ġeng ine", + "Ġf ore", + "ĠH ol", + "Ġep is", + "ĠAss ociation", + "Ġ es", + "stit ute", + "Ġad v", + "b ack", + "Ġte chn", + "ac ks", + "Ġ200 1", + "ĠW ith", + "b an", + "ĠR ed", + "Ġstart ed", + "Ġev en", + "ĠD r", + "umn i", + "Ġyou ng", + "Ġp oss", + "Ġall ow", + "o le", + "em pt", + "Ġcl os", + "iv id", + "o e", + "ro te", + "Ġm arried", + "it or", + "Ġg rad", + "ĠR ail", + "v al", + "Ġc ame", + "Ġoffic ial", + "Ġin it", + "Ġc over", + "Ġim port", + "ĠP resident", + "Ġcre ated", + "ĠAmer ica", + "ou ther", + "Ġw ent", + "form ation", + "Ġg iven", + "Ġs ite", + "Ġto tal", + "ol ic", + "g y", + "ir c", + "ĠSt reet", + "al t", + "Ġst ru", + "Ġe very", + "ĠF irst", + "Ġt urn", + "outher n", + "Ġcommun ity", + "y a", + "ĠF rom", + "ĠS ing", + "er ation", + "w est", + "oin ted", + "ĠSt ud", + "3 0", + "Ġjoin ed", + "ra p", + "om et", + "Ġv al", + "Ġeff ect", + "ĠH istor", + "it te", + "ĠK h", + "Ġra il", + "ot s", + "Ġpolit ical", + "Ġch ang", + "Ġwork ed", + "Ġwh at", + "Ġp res", + "Ġcon c", + "i j", + "Ġvari ous", + "ir on", + "Ġf re", + "Ġdevelop ment", + "ag o", + "ber t", + "ĠS en", + "ree k", + "ĠT own", + "Ġcon f", + "pos ed", + "s ite", + "ĠT rans", + "b or", + "ir l", + "Ġpro cess", + "m a", + "Ġ1 00", + "Ġt w", + "Ġv ideo", + "e al", + "Ġprofess ional", + "Ġele ct", + "her s", + "Ġf act", + "Ġm ilitary", + "ĠS l", + "ac hed", + "' t", + "ĠUn ion", + "Ġvers ion", + "at ic", + "olog ical", + "at ri", + "ĠGerman y", + "op e", + "re am", + "ĠGro up", + "Ġm uch", + "s elf", + "Ġpro te", + "Ġprodu ction", + "Ġh aving", + "Ġne xt", + "Ġcomm on", + "Ġb re", + "Ġcl aim", + "Ġbec ome", + "Ġspec ial", + "Ġg r", + "h old", + "ĠM art", + "Ġs ent", + "ĠH en", + "Ġm iss", + "Ġh ost", + "ĠB er", + "og n", + "Ġs w", + "ĠJ e", + "h ib", + "ĠV ir", + "ĠM ary", + "ĠM ag", + "Ġ198 0", + "ĠS er", + "ĠRo ad", + "o or", + "Ġus ing", + "ĠW e", + "Ġp ri", + "ĠBl ack", + "ĠAr ch", + "Ġ [", + "Ġdire ct", + "Ġreturn ed", + "ĠMe x", + "19 6", + "Ġw rote", + "Ġint ro", + "ĠP ri", + "Ġs it", + "Ġp resident", + "Ġpr im", + "m en", + "Ġt em", + "ĠItal ian", + "ĠM y", + "ĠJapan ese", + "Ġ199 9", + "est s", + "Ġ2 9", + "Ġg l", + "ĠAfric an", + "in ation", + "ĠT ur", + "Ġpos ition", + "Ġmat ch", + "h a", + "Ġan t", + "ict ion", + "ĠL aw", + "Ġdire ctor", + "i ography", + "m ing", + "ĠH all", + "oin ts", + "Ġteam s", + "Ġt ake", + "ĠW omen", + "Ġm ult", + "Ġch urch", + "Ġsong s", + "fl u", + "ĠThe se", + "Ġopen ed", + "Ġper forman", + "B C", + "ct s", + "il ar", + "ĠComm un", + "ĠW ash", + "ĠPro v", + "ivid ual", + "Ġf ew", + "Ġev ents", + "id a", + "Ġf un", + "ell ow", + "ĠG ames", + "Ġbe h", + "se qu", + "ĠS am", + "ĠRober t", + "arl iam", + "Ġv ol", + "ak en", + "ib r", + "itt le", + "ĠRuss ian", + "ĠLe g", + "an i", + "ent ion", + "e ad", + "ĠCh ina", + "oc rat", + "u le", + "ĠB est", + "l o", + "arliam ent", + "ar ian", + "g er", + "C A", + "ĠSc ott", + "2 1", + "Ġt imes", + "t ra", + "Ġst ory", + "Ġs ol", + "ĠO ther", + "ec ut", + "Ġpart icip", + "Ġw ay", + "Ġv oc", + "Ġfootball ers", + "y ing", + "ri an", + "Ġalbum s", + "ĠAcc ording", + "augh ter", + "Ġbe g", + "Ġh ig", + "ĠM ad", + "est ed", + "ĠC ap", + "ĠPl ay", + "un t", + "Ġf riend", + "Ġ199 8", + "ĠWash ington", + "it z", + "ĠC ourt", + "n ing", + "ic le", + "Ġatt ack", + "ket ball", + "ĠM iss", + "Ġro ad", + "stit ut", + "our ces", + "itte e", + "il es", + "an ies", + "Ġim p", + "Ġadm inist", + "ĠC ast", + "Ġpopul ar", + "Ġbro ther", + "Ġne ed", + "Ġwith out", + "ĠComp any", + "is l", + "ĠC ont", + "ĠThom as", + "at ter", + "Ġserv ices", + "ra g", + "an ces", + "a ur", + "Ġreg ion", + "end ing", + "Ġp ract", + "ĠS erv", + "Ġstud ents", + "idd le", + "Ġs k", + "Ġs ocial", + "od es", + "ĠC ath", + "Ġt er", + "ĠM en", + "ers hip", + "ĠS al", + "e x", + "wo od", + "ĠK n", + "a ign", + "Ġh alf", + "Ġbro ad", + "y ear", + "2 2", + "Ġg reat", + "Ġf ull", + "r ated", + "Ġcontin ued", + "Ġ197 0", + "Ġl ost", + "ĠA wards", + "ĠKing dom", + "ain ing", + "ĠCent ral", + "ĠS ociety", + "ac y", + "c raft", + "Ġco ach", + "y m", + "Ġm id", + "ĠM ont", + "ĠG rand", + "Ġal umni", + "ĠO p", + "us ed", + "Ġeduc ation", + "ra b", + "Ġrese arch", + "are nt", + "Ġ199 6", + "Ġatt empt", + "Ġs qu", + "Ġd ays", + "is ing", + "Ġh owever", + "ĠI r", + "b urg", + "Ġse e", + "ĠCh in", + "ens us", + "ĠRec ords", + "Ġprom ot", + "ap er", + "ĠM useum", + "4 0", + "Ġcomple ted", + "on a", + "Ġpro duc", + "Ġele cted", + "Ġapp ointed", + "ĠA lex", + "at ors", + "ĠChar les", + "ill s", + "ĠFl or", + "Ġcom b", + "ĠIs land", + "Ġinv est", + "Ġind ust", + "Ġin f", + "Ġ ident", + "est ival", + "in i", + "ĠD on", + "cent er", + "Ġpart y", + "ĠM et", + "Ġfound ed", + "Ġcont rol", + "Ġdire cted", + "ĠE duc", + "ĠCent er", + "Ġrecord ed", + "ĠTe x", + "Ġl im", + "Ġa ver", + "ific ation", + "u it", + "Ġr ight", + "ĠI m", + "r d", + "Ġ199 7", + "Ġsign ed", + "ĠE arly", + "Ġw ife", + "Ġe conom", + "ĠS ummer", + "amp le", + "l ess", + "Ġp oints", + "ber g", + "Ġpro per", + "Ġle ague", + "w h", + "as ons", + "Ġgroup s", + "Ġare as", + "2 3", + "Ġre view", + "Ġ18 5", + "Ġ /", + "ĠDe partment", + "Ġb ase", + "n el", + "Ġconsid ered", + "ish ing", + "ĠS im", + "Ġcon ne", + "Ġra ce", + "r ay", + "ĠAng el", + "ĠWest ern", + "Ġ202 3", + "ĠO ffic", + "Ġp oint", + "ĠJ ew", + "pl ay", + "Ġh on", + "ĠC he", + "Ġpart ic", + "Ġse le", + "at ural", + "ĠFran c", + "Ġre n", + "Ġf ind", + "Ġf urther", + "ĠV ict", + "j e", + "Ġm ar", + "= #", + "ĠT o", + "Ġc oll", + "ĠT V", + "Ġrel ations", + "ĠIn stitute", + "Ġc aus", + "ar ies", + "Ġv ict", + "ĠG old", + "ĠAcadem y", + "ĠLou is", + "ell s", + "Ġsim ilar", + "ĠOlymp ics", + "il i", + "Ġde g", + "ĠB ay", + "th let", + "Ġh old", + "ĠMich ael", + "Ġind ividual", + "way s", + "Ġto g", + "Ġre al", + "Ġpr iv", + "ĠG reat", + "Ġvi ew", + "ĠM ac", + "Ġweb site", + "Ġ z", + "id ence", + "ĠZ eal", + "Ġt en", + "ĠP ress", + "Ġtog ether", + "Ġ199 5", + "u ation", + "um p", + "Ġrele ase", + "ra in", + "ĠP at", + "ĠC ong", + "ĠZeal and", + "Ġ199 2", + "ric k", + "Ġin flu", + "ot a", + "ĠVir gin", + "ĠV ol", + "Ġreport ed", + "ĠChrist ian", + "Ġc ase", + "Ġappe ared", + "ĠM us", + "ĠRep ublic", + "ĠM er", + "ĠU K", + "et work", + "Ġ199 4", + "| |", + "ar ter", + "ar th", + "Ġs ports", + "Ġoff ice", + "ĠSp anish", + "ĠChin ese", + "Ġm other", + "ou l", + "ed eral", + "ĠAfric a", + "Ġtra ck", + "ĠK ore", + "m ar", + "Ġw eek", + "2 5", + "Ġ3 1", + "c ks", + "ĠT om", + "Ġ5 0", + "Ġm y", + "Ġk e", + "i que", + "Ġme et", + "Ġnov el", + "Ġcon d", + "Ġbir th", + "Ġdevelop ed", + "en c", + "Ġform ed", + "Ġin s", + "Ġh ous", + "it ive", + "y d", + "ak er", + "Ġ196 0", + "it ing", + "Ġmed al", + "ĠB ur", + "Ġhel p", + "Ġa ut", + "ĠCar ol", + "Ġgu itar", + "ad es", + "Ġla un", + "Ġass ist", + "ĠB en", + "Ġph ot", + "ĠIn ter", + "ĠT er", + "ul a", + "k n", + "ĠD an", + "ap t", + "Ġwork ing", + "e h", + "du ction", + "Ġd oc", + "Ġar r", + "Ġm aking", + "Ġimport ant", + "Ġto urn", + "c le", + "ĠG reen", + "i ers", + "Ġarch ite", + "ĠH am", + "ĠTex as", + "ail ed", + "ud e", + "re land", + "Ġart ist", + "Ġc ast", + "ĠWh ite", + "ĠP et", + "Ġgro w", + "ed y", + "Ġm unicip", + "Ġap pl", + "Ġg ood", + "im ately", + "it ted", + "ĠWh ile", + "ĠD el", + "Ġv ot", + "b and", + "ĠP ublic", + "Ġof fer", + "t a", + "id ing", + "ĠK e", + "ĠB as", + "c ial", + "ĠS ports", + "g o", + "Ġl ess", + "Ġtrad ition", + "Ġschool s", + "m on", + "ert ain", + "ic les", + "ĠMinist er", + "r as", + "ĠJ ose", + "Ġl ive", + "id ae", + "al a", + "ĠC ons", + "Ġd ata", + "ro ll", + "one y", + "it her", + "Ġph ys", + "Ġf und", + "Ġ199 3", + "ĠDem ocrat", + "Ġty p", + "Ġother s", + "ens ive", + "Ġh uman", + "Ġsh ould", + "Ġd aughter", + "ol a", + "ĠT or", + "ab ly", + "epend ent", + "at ives", + "Ġem ploy", + "Ġro ck", + "Ġd i", + "Ġgro und", + "ĠP eter", + "osp ital", + "Ġre v", + "ĠFran k", + "Ġrec ogn", + "Ġm ater", + "Ġhim self", + "Ġst ar", + "overn or", + "all s", + "v iron", + "Ġbuild ings", + "Ġde cl", + "Ġ =", + "re y", + "ĠCath olic", + "ĠM el", + "ĠS ong", + "ut y", + "ĠRich ard", + "le g", + "Ġr ul", + ") :", + "Ġac ross", + "az ine", + "Ġav ail", + "Ġf ire", + "Ġcomp anies", + "ĠS ur", + "g en", + "h i", + "ic ation", + "ĠSw ed", + "19 5", + "al y", + "ĠB ill", + "Ġb ody", + "p ite", + "s y", + "en a", + "ate g", + "ol f", + "Ġan im", + "ant ed", + "Ġcamp aign", + "Ġst ations", + "and ing", + "at re", + "Ġl anguage", + "sh ire", + "m ost", + "ri a", + "Ġe ight", + "19 4", + "um e", + "Ġdo es", + "ĠW il", + "b our", + "Ġaver age", + "ĠM ass", + "ĠL u", + "ĠU p", + "ĠF ore", + "Ġm ot", + "Ġ199 1", + "ce ed", + "Ġbl ack", + "Ġqu al", + "Ġex ist", + "Ġbec om", + "ĠPar is", + "ĠSec ond", + "Ġplay ing", + "ut es", + "ric ket", + "o ice", + "ra el", + "ĠL at", + "Ġt ro", + "g ress", + "Ġmod ern", + "Ġl ow", + "ĠHen ry", + "em or", + "Ġdef e", + "ĠSup er", + "ĠVict or", + "he ast", + "19 3", + "Ġh ow", + "ĠS ant", + "Ġepis ode", + "Ġ18 4", + "Ġp aint", + "st ro", + "Ġc le", + "Ġ et", + "ĠC ro", + "Ġgrad u", + "o res", + "S t", + "z il", + "Ġst age", + "Ġd ivision", + "Ġd ram", + "Ġex ample", + "Ġd er", + "ĠGeor g", + "Ġc ross", + "em ents", + "Ġ4 0", + "w rit", + "ud d", + "Ġr adio", + "ad a", + "Ġne ver", + "Ġl iving", + "air s", + "ĠD ire", + "Ġperform ed", + "h ood", + "Ġf oc", + "ĠL os", + "Ġfem ale", + "emb ly", + "ch ie", + "oc key", + "and id", + "Ġw inn", + "eth od", + "ĠH on", + "Ġl ight", + "ĠS ome", + "Ġse par", + "Ġart ists", + "Ġbel ie", + "ĠRe v", + "Ġf ree", + "ĠSm ith", + "Ġpolitic ian", + "Ġac qu", + "ĠP enn", + "Ġass oci", + "w are", + "ĠOr der", + "Ġf ight", + "t ime", + "ur a", + "ent ial", + "Ġcont ract", + "ov iet", + "2 4", + "ĠChampionship s", + "ĠL ake", + "ĠB ut", + "ibr ary", + "ough t", + "Ġstr ong", + "ign ed", + "Ġsuccess ful", + "Ġmon ths", + "ĠF C", + "Ġre d", + "Ġkill ed", + "at ory", + "im ate", + "Ġfin ished", + "ĠEduc ation", + "av al", + "Ġpl aces", + "id ents", + "Ġcon struction", + "ĠCh ic", + "he ad", + "pe ople", + "k ed", + "ĠI reland", + "ĠO l", + "Ġg ave", + "Ġestablish ments", + "Ġ198 8", + "ĠC amp", + "Ġm us", + "av es", + "ĠG o", + "Ġavail able", + "ĠDe f", + "Ġcon du", + "Ġa way", + "Ġgo al", + "Ġ198 9", + "v a", + "Ġperforman ce", + "if f", + "ell ing", + "ĠO b", + "ĠS aint", + "Ġt re", + "Ġal though", + "id s", + "ĠP an", + "as c", + "ish op", + "Ġpro t", + "Ġbo oks", + "ran ch", + "il ities", + "viron ment", + "it a", + "ĠS pec", + "Ġj ournal", + "an o", + "Ġin formation", + "Ġ ide", + "ĠD ay", + "ad o", + "inal s", + "z a", + "ic ated", + "ĠFilm s", + "he re", + "ĠOlymp ic", + "Ġd am", + "ĠC ur", + "Ġt aken", + "ĠV ill", + "ĠW in", + "ĠNot es", + "le ft", + "ell a", + "Ġcap t", + "it ch", + "i qu", + "ĠBra zil", + "ĠIs rael", + "ĠD u", + "ific ant", + "Ġshow s", + "Ġfollow ed", + ", \"", + "Ġr ank", + "o o", + "Ġag re", + "ĠR ob", + "ĠC areer", + "Ġto ur", + "ug by", + "Ġc ost", + "Ġm ix", + "ĠVirgin ia", + "Ġhe alth", + "Ġfr ont", + "Ġj ud", + "om a", + "ĠG overnment", + "Ġinclud es", + "Ġaward ed", + "Ġc irc", + "ut ch", + "Ġtourn ament", + "Ġc our", + "ĠM a", + "ĠL ife", + "ĠM in", + "\" |", + "Ġfeat ures", + "ig an", + "Ġ :", + "ĠJ ust", + "I I", + "Ġvi ol", + "Ġoriginal ly", + "Ġdesign ed", + "s erv", + "ĠT our", + "ĠAt l", + "Ġhouse hold", + "ĠH ill", + "ag ed", + "nd er", + "n y", + "i os", + "Ġac cess", + "Ġmater ial", + "ĠTe am", + "Ġse ven", + "se c", + "Ġs en", + "ve y", + "Ġc ourt", + "ĠE mp", + "e g", + "ĠC arl", + "ĠIt s", + "ĠM r", + "Ġim pro", + "Ġp ut", + "om s", + "Ġc ivil", + "Ġrel ig", + "2 6", + "Ġrem ained", + "ĠP erson", + "ĠHistor ic", + "Ġs ound", + "ĠAr ts", + "Ġs il", + "ist an", + "Ġstud y", + "Ġl ab", + "en ed", + "ĠG all", + "ĠR ock", + "Ġon ce", + "ĠG ra", + "2 7", + "Ġfeat ured", + "Ġin j", + "Ġd ou", + "ĠRail way", + "er ous", + "ar ia", + "ĠS qu", + "Ġfor ces", + "atri ate", + "Ġsc ored", + "ĠL and", + "ur ity", + "Ġc y", + "Ġ ill", + "om m", + "Ġt est", + "Ġ #", + "Ġp ress", + "ac hes", + "Ġ198 7", + "ol k", + "Ġb ar", + "ĠChic ago", + "2 8", + "he st", + "it es", + "Ġmark et", + "Ġbas ketball", + "ip le", + "Ġde v", + "Ġre b", + "Ġsing er", + "Ġsign ificant", + "ĠM o", + "ach ing", + "ap s", + "il ies", + "Ġpl an", + "end er", + "Ġex ecut", + "r or", + "ĠS oviet", + "ic ations", + "re l", + "Ġlead ing", + "Ġtra ining", + "em s", + "ĠSc ot", + "v in", + "Ġpol ice", + "Ġmed ia", + "ĠFor ce", + "Ġe arn", + "ver t", + "ĠS ub", + "y e", + "ic y", + "Ġ195 0", + "ĠM il", + "C h", + "Ġm ount", + "Ġlarg est", + "Ġr ights", + "ĠS ir", + "ear ch", + "ĠComm ission", + "augh t", + "ĠT wo", + "ĠItal y", + "m ier", + "A mer", + "ĠS o", + "ĠPro fess", + "Ġ198 6", + "our ce", + "Ġm ust", + "Ġair craft", + "Ġst ri", + "ĠM od", + "Ġmod el", + "ut er", + "ĠMex ico", + "Ġ198 4", + "Ġch art", + "Ġen c", + "y p", + "Ġs em", + "ĠCl ass", + "ĠI ll", + "Ġthrough out", + "ĠPol it", + "Ġl iter", + "ist ics", + "ĠP arliament", + "Ġg old", + "Ġtrans fer", + "Ġcons ist", + "v ing", + "ĠS ince", + "ĠMar k", + "Ġinvol ved", + "Ġc ou", + "ĠC at", + "Ġlist ed", + "Ġsub sequ", + "ord er", + "Ġst ated", + "ien ces", + "Ġwh ite", + "ĠO ff", + "ĠAn n", + "Ġw id", + "un k", + "Ġbo ard", + "s el", + "Ġintro duced", + "Ġrepl aced", + "ĠIr ish", + "Ġs ugg", + "ann el", + "Ġe arl", + "Ġse en", + "Ġcompet ition", + "Ġb i", + "Ġ18 3", + "un s", + "ĠE r", + "ĠProv ince", + "ĠFlor ida", + "Ġc andid", + "Ġd iv", + "if t", + "6 0", + "2 9", + "Ġtrans l", + "ĠN avy", + "ĠM ur", + "Ġ198 5", + "Ġwrit er", + "Ġevent ually", + "Ġpriv ate", + "Ġv ia", + "Ġresp ons", + "rib ution", + "ut ure", + "ĠTe chn", + "Ġcrit ic", + "Ġresult s", + "Ġent ire", + "u ff", + "Ġvoc als", + "c her", + "Ġab le", + "u z", + "um m", + "ĠD o", + "te xt", + "Ġr an", + "Ġadd ed", + "ret ary", + "ĠAl though", + "Ġc ollege", + "ĠD en", + "Ġpro ble", + "ĠO per", + "ĠComm ittee", + "ĠF estival", + "Ġfour th", + "ĠS il", + "o ch", + "Ġp ast", + "Ġcount ries", + "ĠF in", + "as k", + "ĠB us", + "ro ad", + "A S", + "el t", + "ĠW ales", + "c ript", + "Ġw ind", + "ĠAngel es", + "y r", + "ĠO ver", + "Ġcent ral", + "Ġst e", + "Ġact ress", + "m b", + "uf act", + "Ġsur v", + "as ing", + "ul arly", + "Ġa ud", + "Ġwrit ers", + "u a", + "ian o", + "Ġcomm and", + "Ġass ociation", + "Ġle ast", + "m in", + "Ġres pect", + "i res", + "ĠBro wn", + "ĠE v", + "Ġl oss", + "yl van", + "Amer ican", + "Ġsp ace", + "por ary", + "Ġs er", + "A R", + "ĠSc ience", + "ĠO ut", + "mer cial", + "8 0", + "ĠN orthern", + "Ġun its", + "ĠM ost", + "ab ility", + "f ic", + "ĠR h", + "Ġn omin", + "ĠF ound", + "ĠSt ar", + "ĠRuss ia", + "Ġm inist", + "Ġs ch", + "b b", + "ok e", + "ĠU k", + "ĠG od", + "r up", + "Ġdeg ree", + "i ro", + "ĠCong ress", + "ĠCarol ina", + "Ġst aff", + "Ġdisc over", + "Ġ198 3", + "Ġr ange", + "Ġst ates", + "ib l", + "ĠAr g", + "ri al", + "Ġcl ose", + "ĠR os", + "Ġdoc ument", + "ra w", + "ĠJ un", + "Ġbroad cast", + "n ow", + "Ġf ig", + "Ġab ove", + "pl es", + "Ġre ached", + "med i", + "g ian", + "l or", + "Ġc ensus", + "ĠServ ice", + "st e", + "ant ic", + "Ġpl ant", + "ĠCol umb", + "ĠL iber", + "ĠE s", + "ĠC r", + "Ġch ange", + "erv e", + "T V", + "Ġprov ided", + "ĠJose ph", + "ĠO h", + "Ġse asons", + "Ġt reat", + "Ġcurrent ly", + "oy s", + "Ġex hib", + "ĠO ld", + "i ents", + "b ur", + "rough t", + "Ġg et", + "Ġcont ribut", + "Ġexp ress", + "ylvan ia", + "l im", + "Ġp ur", + "Ġe ither", + "Ġf av", + "Ġ( \"", + "Ġch ampionship", + "r ative", + "ĠS a", + "f ace", + "Ġtra vel", + "or por", + "Ġac cept", + "Ġpl aced", + "u x", + "sy ch", + "Ġmiss ing", + "Ġup on", + "ĠF re", + "al ed", + "F A", + "Ġrail way", + ") ;", + "bo ard", + "ĠS eries", + "Ġs aw", + "ad ium", + "Ġinter est", + "st ant", + "ian a", + "Ġstru ct", + "ĠC am", + "F L", + "ĠP ac", + "ab it", + "ist ic", + "ip l", + "Ġ198 2", + "Ġcent er", + "Ġm ur", + "w ell", + "Ġk ey", + "Ġ !", + "Ġa ction", + "ĠAss embly", + "a ut", + "ĠF ort", + "ĠD ou", + "Ġocc ur", + "ed s", + "Ġty pe", + "ĠM os", + "cept ion", + "Ġp ot", + "ĠM ic", + "kn own", + "p ly", + "is es", + "Ġc op", + "ĠF urther", + "ĠF ollow", + "Ġn ight", + "Ġa chie", + "ig er", + "g l", + "ĠS k", + "Ġd u", + "ĠR am", + "Ġatt ended", + "Ġ197 9", + "stit ution", + "Ġle arn", + "ĠM ill", + "Ġcharact ers", + "ĠB re", + "l anguage", + "ĠB attle", + "ĠA rab", + "Ġse x", + "ubl ican", + "ay ing", + "ĠM at", + "az z", + "Ġcap ital", + "p ress", + "ĠP opul", + "et te", + "Ġme as", + "Ġdec ided", + "ĠM ain", + "ĠW ood", + "Ġf if", + "l am", + "i h", + "ĠM ajor", + "ĠT ro", + "ele b", + "Ġar g", + "Ġdec ision", + ". )", + "ult ural", + "Ġprevious ly", + "Ġdra w", + "ĠRes earch", + "eng th", + "ar ily", + "ĠEmp ire", + "ĠG reek", + "ĠF red", + "ult ure", + "c a", + "Ġst re", + "Ġde stro", + "Ġne igh", + "Ġ197 2", + "Ġlead er", + "Ġh om", + "d en", + "ĠDemocrat ic", + "g r", + "Ġappro x", + "am ily", + "Ġstud io", + "Ġse ction", + "er o", + "Ġus ually", + "Ġme an", + "ĠPenn s", + "Ġ197 6", + "or ing", + "Ġm ass", + "ĠS ol", + "Ġdefe ated", + "ĠOffic ial", + "ĠH a", + "Ġsing les", + "and a", + "Ġed ition", + "ĠMart in", + "u an", + "ĠD utch", + "Ġre ve", + "Ġocc up", + "ow ers", + "st ra", + "re me", + "ĠC le", + "ĠS un", + "p ing", + "ĠFollow ing", + "Ġkn ow", + "Ġg rand", + "Ġn atural", + "Ġinst ead", + "Ġeff ort", + "ĠMed al", + "ĠJ im", + "ĠScott ish", + "Ġp ain", + "Ġpo et", + "Ġact or", + "Ġr iver", + "ĠSp ain", + "ch an", + "Ġf arm", + "Ġp arent", + "Ġacc ount", + "il s", + "ig a", + "ĠS ocial", + "ĠPenns ylvania", + "Ġb ur", + "B A", + "or a", + "Ġsub ject", + "st r", + "c el", + "c ell", + "Ġ198 1", + "Ġw inning", + "Ġproduc er", + "ĠG ar", + "inc ip", + "ans as", + "ĠM embers", + "Ġinvest ig", + "Ġwh ose", + "ult y", + "ult s", + "Ġm ethod", + "ĠW al", + "um ents", + "Ġpl ann", + "Ġ197 8", + "ĠL ove", + "Ġpart s", + "ĠIn c", + "Ġact ive", + "Ġ197 4", + "Ġrepresent ed", + "in ent", + "ĠM ilitary", + "Ġmov ement", + "at o", + "Ġg e", + "ĠH ow", + "Ġprim ary", + "Ġprov ide", + "ĠAs ian", + "Ġfam ilies", + "Ġcult ure", + "Ġ196 8", + "ĠP ak", + "w an", + "Ġrelations hip", + "Ġplay s", + "9 0", + "ĠL ater", + "ĠF inal", + "b ased", + "Ġf ar", + "Ġp ark", + "ĠR adio", + "Ġsc ient", + "Ġorgan iz", + "pt ion", + "Ġpr ison", + "ĠJ ud", + "Ġde al", + "ĠLe e", + "Ġp red", + "Ġn orthern", + "Ġ194 0", + "Ġs outhern", + "Ġbeh ind", + "Ġp urch", + "ĠE p", + "pos ition", + "r ig", + "Ġt ax", + "ĠH ot", + "cl us", + "ĠT w", + "ar io", + "Ġ197 5", + "ug u", + "ĠC ross", + "l a", + "ĠI ran", + "ĠYou ng", + "ig ital", + "Ġmus ical", + "ĠBu ild", + "ad y", + "ens ion", + "Ġs ize", + "y er", + "ĠC ivil", + "ĠCh ief", + "Ġb ank", + "Ġl ik", + "7 0", + "omet imes", + "Ġ197 7", + "se e", + "ri e", + "Ġl ower", + "ĠB ul", + "ing u", + "ĠBo ard", + "w er", + "ĠB et", + ".. .", + "Ġgo als", + "isc o", + "ĠS ar", + "ĠSp ace", + "Ġb rought", + "ĠP ost", + "Ġread ing", + "Ġco ast", + "Ġnew sp", + "ĠB ig", + "ĠB ase", + "erg y", + "Ġout side", + "ĠL oc", + "Ġac adem", + "ĠH el", + "Ġs us", + "s k", + "ĠS outhern", + "ĠReg ister", + "\" )", + "n ot", + "Ġp ers", + "Ġcolle ction", + "Ġh ard", + "Ġorgan ization", + "im b", + "ar ing", + "Ġc ut", + "Ġ i", + "ĠC D", + "end s", + "ĠH aw", + "Ġr ather", + "all ed", + "ĠB ack", + "ers ey", + "Ġ197 3", + "Ġf all", + "m ark", + "Ġclos ed", + "a o", + "Ġindust ry", + "Ġrun s", + "Ġwrit ing", + "al i", + "Ġn etwork", + "Ġg irl", + "Ġend ed", + "N A", + "Ġc ricket", + "ĠJ ack", + "Ġman ufact", + "Ġc are", + "h an", + "Ġdram a", + "Ġk ing", + "ĠL uc", + "or se", + "Ġfor ce", + "Ġsh ot", + "ir m", + "Ġfootball er", + "Ġ193 0", + "ĠAd m", + "it an", + "Ġsystem s", + "anc ial", + "p an", + "at i", + "pec ially", + "he t", + "aw a", + "ĠO x", + "I D", + "ĠEd ward", + "ĠEng ine", + "ct ive", + "Ġh it", + "ĠL ong", + "Ġes c", + "ul ation", + "oun ter", + "Ġposs ible", + "Ġw ood", + "Ġim m", + "ĠVal ley", + "ĠR el", + "Ġreg ard", + "ĠU nder", + "ĠT ri", + "Ġ194 5", + "Ġmat ches", + "m ond", + "Ġallow ed", + "Ġstud ies", + "ĠV er", + "ĠU r", + "ĠS pr", + "ĠT imes", + "Ġne g", + "Ġal most", + "it ors", + "ĠRep ublican", + "Ġreg ular", + "Ġ196 9", + "ven ue", + "id er", + "Ġstru cture", + "Ġst op", + "in ary", + "Ġ197 1", + "Ġmag azine", + "ĠJew ish", + "em ic", + "ur b", + "Ġchang ed", + "Ġcomm ission", + "Ġfre qu", + "c ient", + "enn is", + "ĠTe levision", + "in ated", + "l ike", + "ĠJ ul", + "ent h", + "Ġc at", + "ĠB ob", + "back ground", + "ĠP o", + "ĠB ank", + "Ġd en", + "ĠMich igan", + "Ġis land", + "c ing", + "Ġpl at", + "Ġsett le", + "Ġsch ol", + "ĠD isc", + "Ġlaun ched", + "Ġb all", + "ĠM ah", + "Ġoper ations", + "it iz", + "ĠC amb", + "air man", + "ov ers", + "Ġw oman", + "ĠPl aces", + "velop ment", + "Ġbeg inning", + "ac ing", + "Ġperson al", + "ĠJ er", + "ĠO s", + "Ġter rit", + "k o", + "Ġto wards", + "3 5", + "on n", + "Ġte xt", + "i as", + "Ġtrans port", + "ĠMc C", + "Ġgen us", + "ĠA thlet", + "Ġown ed", + "Ġdet erm", + "Ġt aking", + "Ġn ar", + "Ġf ood", + "ĠOp en", + "Ġmanag er", + "et ts", + "Ġacc ording", + "e es", + "Ġ196 7", + "Ġc ases", + "ĠT im", + "Ġm er", + "ĠH ung", + "ĠHe alth", + "ip s", + "y an", + "Ġn ames", + "ak a", + "Ġind ependent", + "Ġcon stru", + "Ġwh om", + "Ġp ay", + "us band", + "ĠV i", + "ly ing", + "Ġ196 4", + "ol s", + "Ġsc ience", + "Ġf a", + "Ġrem ov", + "Ġoffic er", + "Ġc red", + "ĠPhil ipp", + "Ġ )", + "ĠOh io", + "ĠB h", + "Ġsc ore", + "st ate", + "ĠK ent", + "Ġapprox imately", + "ĠIn f", + "Ġmin or", + "Ġv eh", + "ĠT op", + "Ġob serv", + "ĠL ine", + "ĠF r", + "7 5", + "ĠUn ivers", + "Ġcomp let", + "Ġbre ak", + "ĠR ou", + "im a", + "ĠPol and", + "Ġfun ction", + "ib ility", + "ĠJ o", + "b ury", + "ino is", + "Ġe ver", + "Ġsc reen", + "b on", + "Ġconc ern", + "Ġsp ent", + "Ġar my", + "ĠG al", + "ĠArg ent", + "Ġaddition al", + "ct ing", + "g a", + "pe cted", + "Ġsqu ad", + "Ġ6 0", + "ĠD is", + "o id", + "Ġph il", + "ĠII I", + "ĠA re", + "o ir", + "Ġnot ed", + "in et", + "ĠScot land", + "ĠM ot", + "ĠG h", + "Ġs elf", + "Ġob ject", + "en ced", + "Ġcomple x", + "Ġbo x", + "ir a", + "Ġc eleb", + "amp ions", + "ĠT re", + "ach us", + "ĠL ord", + "if y", + "w w", + "Ġiss ues", + "Ġcount y", + "ĠPol ish", + "Ġ19 20", + "os h", + "il ed", + "Ġch ief", + "ĠB or", + "en ces", + "Ġsen ior", + "es h", + "k ing", + "ĠQue en", + "Ġc he", + "Ġmon th", + "Ġb attle", + ": #", + "Ġcom mercial", + "ost on", + "Ġl ived", + "Ġs ummer", + "Ġele ctions", + "4 5", + "Ġits elf", + "Ġd ate", + "Ġmult iple", + "Ġrel ated", + "uf fer", + "ĠPac ific", + "Ġs at", + "read y", + "Ġpolitic ians", + "Ġfoc us", + "Ġhig hest", + "Ġro ute", + "ĠNew s", + "Ġso on", + "ĠM att", + "ĠJ r", + "ĠIll inois", + "Ġtradition al", + "d own", + "Ġto o", + "Ġl ittle", + "Ġf uture", + "Ġle t", + "Ġqu est", + "Ġes pecially", + "ĠDire ctor", + "Ġhig her", + "Ġopen ing", + "ay a", + "ard en", + "Ġsup er", + "Ġlo ok", + "ĠE nd", + "Ġ196 5", + "um s", + "Ġm oney", + "Ġc al", + "ac her", + "ĠO k", + "ĠBrit ain", + "Ġrequ ired", + "ĠRep resent", + "achus etts", + "f ect", + "Ġinter view", + "Ġun ion", + "ĠCon ference", + "ĠD i", + "ĠJ ersey", + "Ġ196 6", + "bur gh", + "em porary", + "ĠS and", + "ĠGeorg ia", + "Ġen vironment", + "r ich", + "ad or", + "Ġed itor", + "ct ic", + "ob al", + "Ġcont ains", + "Ġappear ance", + "ĠC y", + "ĠAs ia", + "Ġbel ow", + "Ġ18 0", + "k ins", + "Ġproper ty", + "Ġpri or", + "ĠG overnor", + "ĠA z", + "19 0", + "ĠC olle", + "ĠL ab", + "ĠMass achusetts", + "Ġvict ory", + "h ouse", + "Ġme ans", + "Ġsele cted", + "Ġent ered", + "ch ange", + "on se", + "ĠB oston", + "ĠF er", + "Ġstud ied", + "d s", + "Ġpro f", + "ig r", + "p ut", + "Ġh usband", + "ĠL o", + "ĠBo ok", + "Ġpract ice", + "ĠEast ern", + "S A", + "Ġe mer", + "Ġsur round", + "Ġloc ation", + "al ys", + "st anding", + "Ġex am", + "ut en", + "Ġassoci ated", + "emor ial", + "ĠTh at", + "Ġun it", + "ĠC O", + "ĠJ ournal", + "vent ion", + "Ġm ission", + "Ġstruct ures", + "Ġb ass", + "Ġr ad", + "ĠHe ad", + "Ġmur der", + "Ġtr ade", + "j a", + "Ġ3 5", + "Ġd on", + "w a", + "Ġprofess or", + "ĠL ibrary", + "ĠColumb ia", + "ĠB ang", + "Ġc ertain", + "Ġcent re", + "ĠJ ac", + "Ġstand ard", + "Ġship s", + "ĠG re", + "F C", + "Ġret ired", + "op er", + "Ġse at", + "Ġad op", + "Ġearl ier", + "ĠPr ince", + "Ġar ran", + "Ġ ens", + "3 3", + "i i", + "Ġrun ning", + "Ġmanag ement", + "ĠM ore", + "Ġ er", + "Ġbecom ing", + "Ġd om", + "ĠJe an", + "Ġde partment", + "ĠG ame", + "w ith", + "ĠF ield", + "Ġstud ent", + "ry ing", + "Ġ194 4", + "ĠM P", + "Ġactiv ities", + "t ained", + "Ġso ft", + "Ġt rib", + "ĠThe atre", + "ĠJ ones", + "Ġclub s", + "Ġcom e", + "ĠWilliam s", + "Ġl ength", + "an ks", + "Ġem b", + "Ġmunicip ality", + "il a", + "Ġleg al", + "and ed", + "i y", + "al le", + "Ġcoll abor", + "ĠSt an", + "ail s", + "ig g", + "ĠDe velopment", + "Ġmed ical", + "Ġact ors", + "Ġs uffer", + "Ġcom edy", + "arri age", + "in em", + "N E", + "ĠM iddle", + "gy pt", + "ian ce", + "Ġleg isl", + "Ġinit ially", + "om y", + "ĠW eb", + "Ġqu arter", + "Ġcaus ed", + "9 9", + "ĠM any", + "Ġal ready", + "ad el", + "Ġs ometimes", + "Ġp ie", + "s en", + "b re", + "ĠS oc", + "Ġp en", + "Ġth us", + "Ġtra in", + "ĠCo ast", + "ĠFranc isco", + "ĠE conom", + "ĠV an", + "Ġdestro y", + "Ġmov e", + "Ġoper ated", + "et ic", + "ĠI f", + "Ġfeat ure", + "ĠB ow", + "ĠH ong", + "Ġgeneral ly", + "ĠSt ep", + "ĠK ong", + "Ġar rest", + "Ġfore st", + "Ġincre ased", + "Ġequ ip", + "ĠD et", + "ĠS at", + "Ġold er", + "Ġh ockey", + "Ġl ove", + "ĠK ar", + "ĠW ater", + "ant ry", + "Ġcour se", + "Ġw ide", + "ĠOr gan", + "tra ck", + "Ġwest ern", + "ĠM u", + "ĠW ind", + "sp an", + "Ġnum erous", + "ĠAl bert", + "am m", + "ĠBl ue", + "Ġcon v", + "Ġus es", + "Ġcompet ed", + "n o", + "Ġc ouncil", + "Ġnew s", + "Ġra p", + "ĠMan ag", + "Ġg ra", + "Ġann ual", + "Ġdif fic", + "a res", + "ee ks", + "Ġs af", + "ĠF ed", + "is ation", + "ĠJohn son", + "ĠP res", + "Ġ196 3", + "Ġchang es", + "ĠCons erv", + "and s", + "k en", + "Ġv ir", + "ĠE ll", + "ĠD ie", + "ĠM id", + "ĠCh ild", + "on ia", + "ĠPerson al", + "ĠSy stem", + "el a", + "Ġmajor ity", + "og rap", + "Ġs u", + "ĠDe ath", + "ill a", + "Ġterm s", + "Ġserv ing", + "ĠB C", + "ĠCent re", + "ri ef", + "Ġiss ue", + "ul pt", + "Ġf ederal", + "ĠA k", + "att al", + "stit u", + "Ġab s", + "ĠB iography", + "Ġant i", + "ad d", + "Ġind ic", + "ple ment", + "Ġperson nel", + "Ġbet ter", + "Ġcol on", + "Ġun iversity", + "ab eth", + "ĠBro ad", + "Ġ196 2", + "ul f", + "Ġth reat", + "ĠSer b", + "el le", + "Ġrelig ious", + "ĠA ri", + "Ġse a", + "p re", + "Ġc ust", + "Ġs ister", + "ĠT ime", + "ĠE gypt", + "I n", + "ĠB al", + "Ġke ep", + "it ation", + "ĠOx ford", + "ak h", + "ĠB ir", + "ĠSt ation", + "ĠT em", + "Ġpro b", + "ĠG ood", + "ĠTrans port", + "ĠOff ice", + "A C", + "ĠIn t", + "ĠW rit", + "Ġd rop", + "Ġlin es", + "ĠS pe", + "Ġpass ed", + "ĠH ome", + "ĠT am", + "as y", + "ĠAd am", + "Ġd ed", + "ĠSpec ial", + "Ġl ack", + "ĠIs lam", + "ĠW ild", + "Ġacc om", + "che n", + "ĠAlex ander", + "ĠL ittle", + "ĠTra ck", + "t ies", + "ĠComm on", + "Ġh ot", + "Ġexp atriate", + "Ġthough t", + "Ġor d", + "ĠSwed ish", + "man n", + "art ers", + "Ġoffic ers", + "ĠF our", + "ie uten", + "ĠL y", + "ir it", + "is her", + "ce an", + "Ġrecord ing", + "Ġclaim ed", + "Ġh um", + "Ġfor ced", + "ur ban", + "ĠU l", + "Ġprogram s", + "9 5", + "ĠM ax", + "Ġeconom ic", + "Ġstat us", + "Ġdisc uss", + "Ġ4 5", + "ĠK en", + "w ar", + "ĠFound ation", + "Ġn ine", + "Ġinst r", + "Ġlim ited", + "un n", + "orpor ated", + "; \"", + "Ġm useum", + "a ction", + "Ġsupport ed", + "it age", + "Ġim medi", + "ĠB ern", + "Ġ194 2", + "Ġmin utes", + "ĠSen ate", + "Ġcomple te", + "Ġp il", + "acks on", + "ub e", + "Ġcre ate", + "b l", + "Ġgen er", + "ĠCor ps", + "Ġover all", + "Ġh ours", + "Ġsubsequ ently", + "h ire", + "Ġsh oot", + "Ġpresent ed", + "Ġb ene", + "8 8", + "Ġmeet ing", + "ĠThe ir", + "ph y", + "ĠEn ter", + "ĠLat in", + "Ġrem ains", + "ĠF ar", + "ĠGall ery", + "ĠC ard", + "ĠR ay", + "Ġ194 8", + "ro wn", + "Ġ ice", + "ing er", + "ĠAd d", + "ig inal", + "ĠAnd rew", + "Ġdes cent", + "Ġra ised", + "uc le", + "Ġearn ed", + "Ġin stitut", + "v is", + "Ġl ic", + "Ġocc as", + "ĠB ibl", + "A T", + "Ġbel ong", + "ct ors", + "Ġev idence", + "n am", + "Ġcommun ities", + "ĠA sh", + "Ġch all", + "ĠVictor ia", + "Ġgo ing", + "Ġ194 3", + "ĠO f", + "ĠF I", + "3 6", + "iz ing", + "Ġplat form", + "Ġmost ly", + "un a", + "ap ers", + "Ġ195 6", + "Ġj ob", + "ĠC reek", + "is k", + "Ġ196 1", + "ĠSe a", + "Ġhistor ical", + "u ge", + "um ber", + "Ġw eeks", + "Ġal tern", + "m i", + "Ġf le", + "Ġappear ances", + "ĠEl iz", + "Ġse qu", + "w ide", + "at ers", + "ĠSy d", + "ĠBer lin", + "ail y", + "Ġ6 5", + "ĠM inn", + "ur t", + "ĠDe v", + "Ġresp onse", + "ĠS und", + "ĠCor por", + "ĠT y", + "Ġg ive", + "4 7", + "Ġs om", + "ĠJ ackson", + "A F", + "ze ch", + "ieuten ant", + "Ġper cent", + "ĠC orn", + "ĠKore an", + "Ġpro p", + "Ġb ound", + "Ġsh own", + "Ġar m", + "ĠC op", + "Ġin sp", + "w in", + "im s", + "Ġcon cept", + "Ġ195 8", + "ir ing", + "Ġo pt", + "B S", + "Ġreg ional", + "ĠDan iel", + "Ġpartic ularly", + "Ġinc ome", + "g u", + "ĠAl bum", + "ĠW eek", + "Ġacqu ired", + "Ġparent s", + "Ġfore ign", + "ĠR aj", + "Ġb omb", + "ĠSec retary", + "ĠEle ct", + "ĠIs lands", + "Ġm ention", + "Ġpol icy", + "Ġy outh", + "ĠN ight", + "im um", + "ont o", + "Ġc ell", + "alys is", + "Ġ195 9", + "ste in", + "Ġm iddle", + "enc ies", + "3 8", + "che ster", + "Ġdis e", + "re m", + "Ġrecord s", + "ent y", + "ĠPol ice", + "Ġin n", + "Ġt akes", + "os oph", + "4 8", + "Ġlong er", + "ĠB BC", + "Ġl os", + "Ġg ot", + "Ġhel ped", + "ell ed", + "Ġpartic ular", + "Ġf ailed", + "ri ed", + "Ġappe ars", + "ĠG irl", + "Ġ ver", + "Ġpromot ed", + "ĠDes pite", + "Ġa wards", + "on ic", + "Ġpr incip", + "Ġst ep", + "Ġ194 6", + "ĠTh ree", + "ent al", + "st one", + "Ġfam ous", + "Ġbl ock", + "ĠKore a", + "Ġrem ain", + "out heast", + "Ġthe ory", + "ĠR od", + "olog ist", + "Ġin te", + "ag n", + "Ġv ote", + "Ġfin ancial", + "Ġorganiz ations", + "ak ers", + "Ġle aving", + "ĠAt t", + "Ġtra cks", + "ĠM ov", + "ĠR og", + "Ġeast ern", + "o z", + "led ge", + "Ġg overn", + "Ġbase ball", + "ĠB i", + "Ġp sych", + "Ġ194 1", + "Ġm em", + "ĠW ork", + "Ġtechn ology", + "Ġ3 2", + "Ġen ergy", + "v ement", + "cl ass", + "om er", + "Ġsc hed", + "Ġv on", + "if ying", + "Ġm ach", + "y o", + "Ġcompos ed", + "ron ze", + "Ġh app", + "4 6", + "Ġrefer red", + "b ers", + "ĠW all", + "ĠT ax", + "ĠReg iment", + "Ġspec ific", + "Ġcre w", + "ĠSyd ney", + "ĠF amily", + "3 7", + "Ġqu ick", + "em et", + "ĠH ospital", + "Ġincre ase", + "c ul", + "ĠM unicip", + "ĠK enn", + "Ġc itiz", + "Ġbelie ved", + "Ġrem aining", + "Ġw ord", + "ĠC oll", + "ĠSh ow", + "Ġprov ince", + "Ġc ateg", + "Ġlarg er", + "ĠJ oe", + "Ġhous es", + "ĠCh arl", + "rop ol", + "ĠV iet", + "ĠC zech", + "te en", + "Ġh ospital", + "v est", + "c an", + "Ġc arried", + "ĠO tt", + "ĠL im", + "Ġ eth", + "T h", + "ĠV en", + "ric e", + "il ly", + "ou ri", + "ĠBus iness", + "Ġam ount", + "Ġl atter", + "ĠH y", + "ĠW ay", + "Ġtro ops", + "ĠF ederal", + "th ur", + "istric ts", + "Ġ195 7", + "Ġd iss", + "Ġ193 9", + "C C", + "Ġ( ),", + "ĠAr m", + "Ġstart ing", + "ĠTur k", + "Ġarchite ct", + "ov a", + "ĠP en", + "9 6", + "Ġ194 7", + "sel ves", + "ment ary", + "im ated", + "Ġthem selves", + "Ġl ay", + "Ġb rand", + "ĠQue ens", + "ĠD er", + "Ġt arg", + "l av", + "rup t", + "Ġpro posed", + "Ġch arg", + "Ġn orm", + "9 8", + "Ġfor t", + "ut s", + "Ġro om", + "Ġb ring", + "Ġepis odes", + "Ġn ative", + "ĠR et", + "Ġc er", + "Ġ195 2", + "Ġr ate", + "ĠFor m", + "ĠB oth", + "ĠO nt", + "Ġindividual s", + "ĠW orks", + "ĠB and", + "eng er", + "Ġgradu ated", + "Ġassist ant", + "Ġ3 6", + "m ore", + "e ch", + "ut t", + "ur ies", + "Ġp ra", + "Ġl og", + "ĠB ab", + "Ġwinn er", + "Ġform s", + "Ġcult ural", + "p ose", + "Ġde part", + "ĠPri ze", + "Ġ195 5", + "Ġc ities", + "itt ing", + "Ġsur face", + "Ġc hem", + "he w", + "ĠPr ime", + "j i", + "Ġoffer ed", + "ĠE arth", + "ĠJ on", + "Ġv en", + "a is", + "Ġdel iver", + "ph ia", + "ĠCol or", + "Ġm erg", + "er b", + "Ġhe avy", + "ĠB oy", + "ĠTown ship", + "ĠT ay", + "ous ly", + "ĠT od", + "es ota", + "Ġexecut ive", + "Ġon line", + "ed d", + "9 7", + "Ġs pl", + "Ġpre vent", + "ĠJe ff", + "ĠBo oks", + "Ġm arriage", + "Ġmean ing", + "ĠPre mier", + "angu ages", + "A r", + "Ġad j", + "/ /", + "Ġt able", + "enn es", + "ĠL es", + "ĠRou te", + "Ġnewsp aper", + "ĠN ether", + "ĠM ir", + "ĠMinist ry", + "Ġsepar ate", + "Ġs ociety", + "Ġd yn", + "vers e", + "Ġcons ists", + "ound s", + "ell ig", + "ĠS em", + "ĠD ist", + "Ġfif th", + "c i", + "ion e", + "ĠNot able", + "per or", + "ĠEliz abeth", + "ou ra", + "Ġb ridge", + "ĠJ es", + "ĠB ell", + "Ġpe ak", + "ĠE st", + "ic ted", + "ĠAnt on", + "I S", + "Ġto day", + "ĠMinn esota", + "ro vers", + "Ġsuc ceed", + "Ġ ess", + "ĠB ol", + "adel phia", + "Ġexper ience", + "ĠBase ball", + "ran e", + "Ġf ail", + "Ġserv e", + "f it", + "ĠP ubl", + "Ġcond itions", + "Ġvari ety", + "ĠJust ice", + "Ġcomp l", + "Ġb rief", + "it ude", + "Ġf oot", + "h y", + "ĠTor onto", + "Ġlab el", + "Ġtransfer red", + "k er", + "u ated", + "3 4", + "Ġtem per", + "ess ion", + "Ġcandid ate", + "Ġb order", + "m as", + "Ġs ource", + "ĠH uman", + "ron ic", + "ic ine", + "ĠOnt ario", + "Ġhousehold s", + "res p", + "Ġpart n", + "ran ce", + "Ġmain ly", + "Ġmov ie", + "al og", + "ĠSqu ad", + "ĠSup reme", + "Ġalong side", + "ĠH ind", + "ĠA ut", + "z y", + "ĠM ike", + "Ġdes pite", + ": //", + "ĠCh ap", + "Ġsc ulpt", + "Ġrequ ire", + "ĠL em", + "in ct", + "Ġal ways", + "ĠS om", + "a ult", + "ĠReg ion", + "ĠB ad", + "ĠB orn", + "ĠL ew", + "ĠL ight", + "ĠN ations", + "ĠT ok", + "ĠB a", + "ĠSong s", + "ric s", + "Ġpart ies", + "we ight", + "e v", + "Ġ194 9", + "Ġ195 4", + "u ing", + "Ġoper ation", + "Ġiss ued", + "Ġdou ble", + "ic ks", + "ĠPro gram", + "Ġ( ,", + "ĠI d", + "an th", + "ĠW el", + "attal ion", + "Ġpo or", + "b it", + "n es", + "3 1", + "ĠAn other", + "Ġext ended", + "sec ut", + "Ġb r", + "Ġdem on", + "ort heast", + "Ġme chan", + "ĠAn th", + "Ġpl ans", + "Ġf ace", + "ĠD un", + "Ġprov ides", + "ĠC E", + "ĠA ff", + "Ġsold iers", + "Ġm akes", + "Ġart icle", + "Ġturn ed", + "Ġinflu ence", + "R A", + "Ġ8 0", + "Ġdef eat", + "Ġrespons ible", + "Ġsil ver", + "bour ne", + "Ġd one", + "Ġro w", + "Ġj un", + "Ġs n", + "ĠHar ris", + "Ġ195 3", + "ĠA h", + "Ġarr ived", + "ra ine", + "ĠStep hen", + "er land", + "ill ed", + "Ġfeat uring", + "ĠB rad", + "Ġh ar", + "ĠMex ican", + "Ġdiffic ult", + "ĠPhil adelphia", + "w orth", + "ĠSt adium", + "Ġr ugby", + "che stra", + "os a", + "Ġst ories", + "Ġnear by", + "8 5", + "Ġm aster", + "Ġspe ed", + "ons in", + "Ġun ivers", + "Ġex cept", + "Ġa thlet", + "pt on", + "ĠSt at", + "ĠAir port", + "ĠA v", + "Ġcap ac", + "ĠCh art", + "l ers", + "Ġc orn", + "Ġhon or", + "ĠPak istan", + "om ot", + "isc onsin", + "ĠT ai", + "av en", + "ri f", + "writ er", + "b ass", + "ĠSant a", + "ĠNether lands", + "Ġparticip ated", + "Ġo il", + "ag on", + "Ġres idents", + "at ively", + "ĠC rit", + "Ġ7 0", + "Ġs aying", + "m ission", + "Ġwinn ers", + "av a", + "Ġmanag ed", + "Ġst ay", + "Ġf ellow", + "e ction", + "Ġadminist rative", + "ĠK ir", + "ĠD am", + "l ight", + "ob ile", + "Ġelect ric", + "p on", + "Ġorig in", + "b a", + "Ġcon stitu", + "ĠMed ia", + "Ġdiscover ed", + "Ġm ight", + "um ed", + "und red", + "Ġcover ed", + "rop ical", + "ĠRev olution", + "ĠProfess or", + "ĠBr ig", + "Ġren amed", + "Ġs urn", + "n s", + "or g", + "ĠInd ones", + "Ġback ground", + "Ġmunicip al", + "8 6", + "ĠW isconsin", + "Ġlik ely", + "ĠH o", + "Ġcont ra", + "d is", + "ĠCh ris", + "Ġin h", + "ĠA venue", + "Ġrec ent", + "ĠGu ard", + "Ġmusic ians", + "ĠPe ak", + "ĠR ome", + "Ġ195 1", + "Ġpar ish", + "4 4", + "Ġele ments", + "ĠC ub", + "Ġto ld", + "ig en", + "ran ge", + "qu arters", + "ac hel", + "Ġv an", + "an cy", + "Ġas ked", + "Ġg un", + "Ġ +", + "igh ter", + "Ġconstru cted", + "Ġcon fl", + "ĠPr im", + "Ġproble ms", + "ĠTechn ology", + "ĠK im", + "Ġ ult", + "Ġfinal ly", + "ow a", + "7 6", + "ĠS us", + "Ġhe art", + "ĠS her", + "Ġle ave", + "Ġo ur", + "oc ks", + "est abl", + "Ġn ature", + "emet ery", + "Ġneigh bor", + "ir med", + "ĠP ers", + "ke e", + "Ġpro gress", + "Ġprodu cts", + "ĠMus lim", + "ĠCamb ridge", + "ĠL i", + "Ġth r", + "Ġp ick", + "ctor al", + "we gian", + "Ġhe re", + "or ation", + "ĠInd ust", + "ot o", + "Ġimp act", + "Ġnear ly", + "ĠFore st", + "Ġdr ug", + "Ġp aper", + "ĠDu ke", + "ĠB ishop", + "Ġc ause", + "5 5", + "Ġp age", + "Ġen ough", + "Ġp ath", + "g ing", + "Ġw anted", + "ĠL ady", + "Ġsub s", + "m et", + "Ġde ad", + "am ber", + "Ġmedal ists", + "w ick", + "ĠSl ov", + "per ial", + "ĠLeg isl", + "r im", + "Ġreve aled", + "ap ed", + "Ġarchite cture", + "ĠEx p", + "ĠP u", + "Ġra ces", + "ric t", + "ĠC a", + "Ġne cess", + "Ġch ampion", + "Ġsec urity", + "n ic", + "s s", + "ĠCommun ity", + "ist ance", + "Ġdirect ly", + "ens ity", + "Ġsol o", + "ĠSt r", + "g et", + "Ġv oice", + "ĠWil son", + "3 2", + "Ġp it", + "epend ence", + "ins on", + "ĠPro ject", + "Ġadd ress", + "Ġsus p", + "ĠS ab", + "ĠP ower", + "orn ing", + "ĠAdm inist", + "Ġl ives", + "Ġan cient", + "Ġlead ers", + "Ġ193 6", + "Ġminist er", + "ĠCorpor ation", + "Ġoffic ially", + "Ġincre asing", + "Ġcy cl", + "Ġproject s", + "ĠCol on", + "ĠMed ical", + "ĠMar g", + "L e", + "l iving", + "Ġdis play", + "Ġprim arily", + "Ġr ural", + "ad ing", + "ĠBar b", + "Ġadminist ration", + "en ge", + "9 4", + "van ced", + "ou d", + "Ġcondu cted", + "Ġinit i", + "Ġfriend s", + "Ġlevel s", + "ĠH ay", + "ang a", + "roll ed", + "Ġpos itive", + "en ing", + "Ġs port", + "Ġmount ain", + "ens is", + "e cted", + "ĠD ar", + "ĠNor wegian", + "Ġc ard", + "ĠSwed en", + "S S", + "ĠF air", + "Ġch ap", + "ĠI ra", + "in ity", + "Ġl y", + "i at", + "ĠM oh", + "ĠF ire", + "ĠL t", + "Ġinit ial", + "yd ro", + "ĠV ideo", + "ĠSh ort", + "ul ly", + "Ġacadem ic", + "ĠIndian a", + "ĠGold en", + "uc ky", + "Ġp an", + "ĠF le", + "Ġ9 0", + "e en", + "Ġp p", + "ĠMount ain", + "ĠW inn", + "Ġf irm", + "ĠM un", + "ak i", + "Ġch annel", + "Ġdis p", + "ĠBibl iography", + "Ġs ources", + "Ġrepl ace", + "bo ok", + "ĠWin ter", + "Ġwho le", + "ĠAr thur", + "Ġlist ing", + "Ġwork ers", + "Ġ193 8", + "ĠSc iences", + "Ġlet ter", + "cript ion", + "Ġnum bers", + "ĠR ad", + "ribut ed", + "ĠN iger", + "Ġconsid er", + "ĠAl f", + "ĠPl ace", + "Ġm ic", + "Ġval ue", + "ĠDes ign", + "ĠRe view", + "ĠB udd", + "Ġde ep", + "ĠS u", + "L A", + "Ġlaw s", + "ur ches", + "ĠH u", + "em y", + "ed om", + "ĠK ansas", + "ant a", + "ĠAl so", + "Ġliter ature", + "Ġwhe ther", + "Ġremov ed", + "th ing", + "ĠL ive", + "Ġ19 18", + "g al", + "he im", + "Ġs al", + "ĠMar ia", + "Ġwith d", + "A l", + "Ġded icated", + "el d", + "i est", + "ĠGe ography", + "ĠCap tain", + "ĠU s", + "port un", + "ert o", + "ĠDe p", + "Ġsy n", + "Ġg rew", + "ony m", + "Ġd omin", + "Ġw ords", + "ĠBar on", + "F F", + "Ġplann ed", + "ĠPopul ated", + "ĠPolit ical", + "r ical", + "Ġst ars", + "ĠJun ior", + "ĠRes ults", + "7 8", + "Ġnot able", + "Ġeffect s", + "ĠUS A", + "Ġsh are", + "je cted", + "ĠU t", + "Ġk ind", + "it ter", + "e z", + "ic ed", + "Ġr ule", + "ĠMiss ouri", + "p resent", + "Ġd ark", + "E C", + "Ġcomp uter", + "Ġp iano", + "Ġorder ed", + "ĠTay lor", + "Ġreg ist", + "Ġsettle ment", + "ath an", + "ĠM aster", + "resp ond", + "ĠH an", + "Ġprom inent", + "ik a", + "M A", + "Ġsp read", + "ĠR ugby", + "Ġcontin ue", + "ĠB ridge", + "is hes", + "ĠP it", + "ĠColor ado", + "reg on", + "y al", + "Ġrec over", + "ab les", + "rest ling", + "Ġref le", + "ĠFranc is", + "Ġun s", + "res h", + "se x", + "ell er", + "ĠE P", + "ag ing", + "Ġv ac", + "O S", + "Ġ3 4", + "Ġvot es", + "for ce", + "Ġsc ene", + "Ġfollow s", + "Ġwe ap", + "Ġdire ction", + "tern et", + "il ton", + "6 6", + "g reg", + "ĠSte ve", + "ĠR em", + "ist ed", + "Ġmix ed", + "Ġto uch", + "Ġb ranch", + "Ġhost ed", + "Ġext ra", + "ĠCon ne", + "Ġd igital", + "Ġg as", + "Ġre form", + "Ġl anguages", + "ĠW alk", + "Ġg reen", + "Ġart icles", + "Ġrul es", + "Ġpot ential", + "Ġ193 7", + "Ġim plement", + "Ġre ason", + "hen s", + "Ġint ended", + "Ġp urs", + "Ġill ust", + "ĠStud ies", + "Ġcons erv", + "en es", + "g n", + "hem at", + "Ġn ation", + "Ġan g", + "z ona", + "enn a", + "ĠRepresent atives", + "Ġhistor ic", + "Ġ era", + "3 9", + "ĠCast le", + "ĠC irc", + "y ard", + "ĠL ind", + "ĠE arl", + "Ġtri al", + "ul ated", + "Ġdiv ided", + "ĠG ree", + "Ġcapac ity", + "Ġide a", + "ĠM ember", + "Ġ ut", + "ĠN az", + "g rad", + "Ġcol or", + "Ġfor ward", + "ropol itan", + "Ġt al", + "Ġtit led", + "ograph ic", + "n ce", + "Ġrespect ively", + "Ġfl oor", + "Ġdestroy ed", + "Ġtit les", + "Ġtreat ment", + "Ġs oc", + "ĠO regon", + "ol es", + "ĠJ os", + "Ġass igned", + "ĠK al", + "ĠMar sh", + "Ġengine er", + "ĠK el", + "Ġ6 4", + "20 10", + "it led", + "ĠF e", + "Ġtown s", + "7 7", + "g g", + "ill ery", + "ur d", + "ĠTur key", + "ĠWar s", + "ĠMal ays", + "ĠP ier", + "Ġin side", + "Ġp arliament", + "or al", + "ap ore", + "ĠFred er", + "ĠH al", + "ĠR om", + "ly n", + "k h", + "ĠZ h", + "Ġag ric", + "ix ed", + "% )", + "Ġbas is", + "Ġd ance", + "Ġactiv ity", + "6 5", + "Ġsem i", + "Ġnov els", + "Ġre pe", + "and on", + "Ġcompos er", + "Ġbeh av", + "200 7", + "Ġun known", + "Ġreview s", + "Ġsit es", + "ĠE th", + "Ġ. ..", + "ĠBrazil ian", + "ĠComm and", + "Ġc ounter", + "re al", + "c ow", + "iv ity", + "Ġgrow th", + "b ec", + "Ġcle ar", + "Ġst reet", + "ĠDav is", + "Ġcont rovers", + "Ġmet al", + "ĠCon f", + "Ġfem ales", + "ĠP ass", + "b u", + "M S", + "Ġeffort s", + "Ġpurch ased", + "Ġp al", + "Ġpl ants", + "Ġbecom es", + "ennes see", + "b ell", + "Ġmov ing", + "Ġp et", + "Ġup per", + "ĠBro ok", + "ĠCon c", + "ĠAtl antic", + "ear s", + "Ġcont est", + "Ġprodu ce", + "iz es", + "ĠCount ry", + "Ġfe el", + "ĠSt and", + "ast y", + "ĠT al", + "ĠBe ach", + "ĠC re", + "ĠB all", + "Ġfac ilities", + "Ġl ies", + "ĠAri zona", + "a ud", + "ĠG reg", + "un ct", + "em an", + "Ġquest ion", + "ĠPhilipp ines", + "Ġcer em", + "ĠT a", + "ian t", + "it o", + "200 9", + "ĠN ic", + "ad ed", + "Ġtyp es", + "Ġequip ment", + "ĠFore ign", + "Ġcapt ured", + "I A", + "ĠF ree", + "Ġprodu ct", + "f ort", + "Ġsmall er", + "Ġatt end", + "est ic", + "Ġquick ly", + "Ġst ore", + "Ġy et", + "ĠK r", + "b ro", + "w ater", + "Ġhigh ly", + "200 0", + "e k", + "Ġle aves", + "ĠSe ver", + "Ġcont act", + "Ġcitiz ens", + "Ġ5 00", + "ĠS on", + "ar p", + "ound ed", + "Ġform at", + "b les", + "Ġdocument ary", + "Ġ4 4", + "Ġest ate", + "ast ic", + "st yle", + "ĠT ennessee", + "Ġimmedi ately", + "Ġ( ;", + "ĠLe on", + "ren ce", + "Ġorgan ized", + "if orm", + "Ġaccept ed", + "Ġs umm", + "ĠMar c", + "Ġg re", + "b ed", + "ed ia", + "k in", + "ipl om", + "w atch", + "Ġop portun", + "ĠNor way", + "j an", + "Ġcon ver", + "ĠM as", + "a ug", + "20 11", + "ef e", + "ĠS ri", + "Ġm ax", + "Ġown er", + "ul ed", + "Ġcon ference", + "Ġfl ight", + "Ġr at", + "ĠC as", + "ian g", + "s ky", + "ur er", + "Ġ193 5", + "ĠN etwork", + "Ġ19 19", + "Ġphys ical", + "Ġfav or", + "Ġfac ulty", + "Ġro les", + "200 6", + "g ers", + "o is", + "200 8", + "Ġst ra", + "Ġsy mb", + "Ġaut om", + "Ġb ronze", + "er c", + "Ġdecl ared", + "ĠMary land", + "amb ig", + "Ġconf irmed", + "Ġsoft ware", + "se y", + "am i", + "ĠC ra", + "ĠS av", + "Ġmot or", + "Ġte acher", + "Ġchar ge", + "Ġre ach", + "ol n", + "Ġcommon ly", + "ĠUk raine", + "Ġpos itions", + "ann a", + "Ġaff ili", + "Ġg overnor", + "Ġ19 14", + "Ġhous ing", + "Ġoper ating", + "ĠHigh way", + "Ġv s", + "ĠO d", + "Ġ3 3", + "eat her", + "ĠB at", + "ĠBe fore", + "Ġprogram ming", + "Ġper man", + "Ġbe at", + "im al", + "Ġh tt", + "Ġstre ng", + "ĠIra q", + "U n", + "ĠS ources", + "Ġele v", + "am in", + "ce st", + "Ġcomp ared", + "r ate", + "ĠFor mer", + "Ġcom es", + "h at", + "ĠBack ground", + "ĠSing apore", + "Ġterrit ory", + "ĠFed eration", + "are t", + "Ġab ility", + "ĠMod ern", + "Ġagre ement", + "Ġd istricts", + "b s", + "Ġcom ment", + "Ġtarg et", + "ĠK l", + "CA A", + "Ġst one", + "Ġ19 10", + "ĠM emorial", + "Ġfound er", + "ĠR oss", + "ĠL iter", + "Ġw a", + "Ġp op", + "ĠDe c", + "Ġsw im", + "ellig ence", + "Ġ19 17", + "Ġg iving", + "ag a", + "ĠD or", + "Ġagre ed", + "ĠF ox", + "Ġatt ention", + "ĠCh ile", + "Ġmod els", + "ar c", + "Ġappro ach", + "Ġengine ering", + "5 8", + "Ġn ucle", + "9 3", + "inc ial", + "vent h", + "ĠH or", + "Ġcamp us", + "ĠO cean", + "ĠS ound", + "S P", + "Ġpe ace", + "ĠE ach", + "m ad", + "west ern", + "igh th", + "du ce", + "Ġlead ership", + "Ġinstitut ions", + "Ġw alk", + "Ġatt ra", + "Ġc ars", + "od ies", + "S C", + "ap h", + "Ġl if", + "Ġap art", + "ript ion", + "Ġ192 8", + "Ġy ards", + "Ġest imated", + "Ġel im", + "z o", + "ĠB ru", + "igr ants", + "ol i", + "Ġse ats", + "Ġth ink", + "Ġoccur red", + "Ġbl ood", + "ĠR en", + "un te", + "Ġw ing", + "ĠW at", + "ambig uation", + "op her", + "ĠD iv", + "ĠEnter tain", + "ĠH art", + "ĠS port", + "Ġg ained", + "ad er", + "200 5", + "Ġneed ed", + "ot i", + "Ġch airman", + "Ġmed ian", + "ĠPhil ip", + "Ġ x", + "Ġact ing", + "ĠF a", + "ĠLew is", + "Ġsuffer ed", + "Ġcon clud", + "Ġdise ase", + "Ġfig ure", + "Ġadop ted", + "Ġrec on", + "Ġb ad", + "ĠB os", + "ĠMel bourne", + "Ġfl ag", + "Ġ192 9", + "Ġs ens", + "Ġcr ime", + "in us", + "Ġc oin", + "ed er", + "we alth", + "Ġdist ribution", + "Ġserv es", + "ĠT s", + "5 00", + "ĠMos cow", + "ĠT en", + "Ġst ream", + "Ġp oll", + "Ġent er", + "it ness", + "Ġf ell", + "ul s", + "Ġan alysis", + "H L", + "ĠPro duction", + "rain ian", + "Ġcomb ined", + "im inal", + "l ah", + "Ġcomm ittee", + "Ġjournal ist", + "' ,", + "s pe", + "Ġ3 8", + "ĠT est", + "ans ion", + "Ġcont ent", + "Ġcor respond", + "Ġj oint", + "T A", + "ĠAb b", + "ag h", + "or ter", + "ĠSe ason", + "Ġqu ality", + "Ġcan cer", + "Ġv ess", + "Ġpre c", + "20 12", + "200 4", + "ing ham", + "Ġ193 3", + "Ġpolit ics", + "ĠSt ock", + "y es", + "Ġres ident", + "Ġ193 4", + "ĠCro at", + "or ph", + "anc ing", + "Ġra re", + "ĠSpr ing", + "S h", + "ost er", + "ĠAb d", + "Ġcont emporary", + "ĠEngine ering", + "Ġproble m", + "ugu ese", + "ol id", + "ast ers", + "Ġ urban", + "Ġperforman ces", + "Ġtyp ically", + "A n", + "Ġh abit", + "y ond", + "al o", + "ĠR ound", + "p et", + "Ġret ire", + "pl ace", + "Ġmention ed", + "eth ing", + "Ġofficial s", + "l aw", + "Ġnomin ated", + "ĠHe art", + "Ġb ig", + "Ġindust rial", + "9 1", + "Ġcom ing", + "Ġun c", + "ib ly", + "ĠH ard", + "ash ion", + "ĠB on", + "Ġh undred", + "Ġf iction", + "id i", + "w orks", + "Ġpres ence", + "Ġl abor", + "ov i", + "ĠTurk ish", + "Ġbl ue", + "ĠQueens land", + "ĠKh an", + "ĠV o", + "p ass", + "Ġeduc ated", + "ant e", + "9 2", + "it i", + "w ing", + "Ġex c", + "g ar", + "Ġh or", + "20 13", + "ir al", + "ĠJew s", + "ĠH ou", + "ol ved", + "v ard", + "Ġf ast", + "l i", + "id ers", + "is a", + "ĠAdd ition", + "V ID", + "Ġpr in", + "il ing", + "ic ian", + "ĠB alt", + "Ġcol umn", + "hed ral", + "Ġco al", + "g i", + "Ġlarg ely", + "Ġresult ed", + "dis ambiguation", + "Ġrecogn ized", + "osoph y", + "ot ed", + "Ġprob ably", + "ĠI owa", + "ĠAust ria", + "m outh", + "Ġe c", + "Ġ ir", + "ak s", + "ĠG il", + "ĠAr k", + "ĠCommon wealth", + "for mer", + "Ġab andon", + "Ġ192 4", + "Ġb oy", + "Ġdam age", + "d a", + "Ġres erv", + "ĠR ang", + "p son", + "Ġm iles", + "Ġcon cent", + "ĠKent ucky", + "Ġh op", + "ĠBro ther", + "os en", + "ĠO t", + "Ġbur ied", + "ĠE c", + "Ġc ab", + "u ate", + "Ġpaint ing", + "Ġschol ar", + "ĠD own", + "ĠB ah", + "v o", + "ĠC ab", + "Ġc am", + "ĠSports people", + "Ġwid ely", + "act er", + "Ġsc oring", + "G B", + "Ġexp anded", + "5 6", + "Ġc ode", + "Ġ19 00", + "Ġvill ages", + "z h", + "Ġar ts", + "Ġex pected", + "Ġrank ed", + "ol is", + "Ġ193 2", + "Ġ3 7", + "Ġsex ual", + "ĠEntertain ment", + "Ġclass ical", + "Ġsports people", + "Ġb ra", + "ĠSquad ron", + "ĠK itt", + "Ġnew ly", + "Ġrec omm", + "Ġident ified", + "ĠHar ry", + "Ġm m", + "Ġcrit ical", + "Ġf elt", + "Ġgr anted", + "Ġm ill", + "Ġdef end", + "ĠAre a", + "oc ese", + "iqu es", + "ar o", + "ĠC ape", + "Ġp ict", + "u i", + "form ed", + "ain e", + "cl es", + "Ġse arch", + "ĠWal ter", + "Ġsecond ary", + "ĠBel g", + "Ġ rom", + "Ġf ish", + "Ġad apt", + "Ġsqu are", + "ĠH ur", + "ĠManag ement", + "ĠT ony", + "ĠD anish", + "ĠG i", + "Ġcou ple", + "Ġdr ums", + "Ġstar ring", + "Ġal le", + "m itted", + "ro g", + "us ion", + "ĠL ike", + "Ġlos ing", + "Ġb illion", + "Ġwe ight", + "Ġconc ert", + "20 14", + "k es", + "se ason", + "ĠSw iss", + "l ast", + "Ġs ales", + "Ġt aught", + "t ing", + "il ation", + "Ġcre ation", + "Ġcond ition", + "Ġre duced", + "Ġm ess", + "ett ing", + "ĠViet nam", + "ĠN ick", + "Ġco aches", + "Ġdist ance", + "Ġthe atre", + "vi ation", + "Ġcomm ander", + "Ġpress ure", + "8 7", + "Ġresult ing", + "Ġw ild", + "Ġ192 7", + "Ġb al", + "Ġpre mier", + "or ship", + "Ġthere fore", + "Ġoff ers", + "ĠCO VID", + "0 5", + "ĠR on", + "itz erland", + "i ot", + "ĠInf antry", + "ĠProfess ional", + "ĠPort uguese", + "S T", + "Ġcap tain", + "200 3", + "ĠG ord", + "ĠRec ord", + "cl aim", + "ĠReg ional", + "Ġinstr ument", + "ĠS ix", + "Ġlo an", + "oc ated", + "ĠTh rough", + "ĠT an", + "Ġ19 12", + "p ur", + "Ġsp ons", + "4 1", + "ĠAm ong", + "Ġsec ret", + "20 15", + "ĠSim on", + "ĠUk rainian", + "ĠA st", + "ĠB eng", + "ĠSe le", + "Ġt im", + "ĠT reat", + "m es", + "Ġtw ice", + "Ġauthor ities", + "ĠAl b", + "ĠH and", + "Ġrec ently", + "al ing", + "Ġarrest ed", + "ĠF inn", + "Ġsurn ame", + "V D", + "Ġ193 1", + "4 2", + "ad s", + "Ġstr ugg", + "ict ional", + "orn ey", + "h o", + "ĠN ik", + "Ġyoung er", + "Ġform ation", + "p a", + "I C", + "ĠN CAA", + "Ġpre p", + "Ġinj ury", + "ord in", + "Ġbeg ins", + "ĠL abor", + "um es", + "ĠAr men", + "i pe", + "Ġformer ly", + "Ġ192 2", + "ĠBul g", + "Ġra cing", + "ym n", + "0 7", + "Ġatt acks", + "Ġg raph", + "ĠH ans", + "ĠD rag", + "Ġvers ions", + "Ġw all", + "ĠGree ce", + "m iss", + "ĠI l", + "lah oma", + "ĠSt aff", + "0 6", + "Ġfin ish", + "ĠIsrael i", + "ĠAff airs", + "ĠPl an", + "Ġth ous", + "Ġsurround ing", + "Ġprov iding", + "ĠG er", + "ĠAn ne", + "ĠArch ite", + "Ġcrit ics", + "ĠPh ys", + "ay er", + "ĠSpace watch", + "Ġrest aur", + "Ġdis establ", + "b ra", + "os is", + "Ġc e", + "Ġser ious", + "0 8", + "m ont", + "re ll", + "ĠA ud", + "ĠRe al", + "Ġ192 1", + "ĠTok yo", + "ĠAl i", + "Ġvoc al", + "200 1", + "Ġt ree", + "Ġpat tern", + "as ion", + "Ġknow ledge", + "ĠBill board", + "p ool", + "ĠMill er", + "Ġ192 5", + "b i", + "ĠBe c", + "Ġshow ed", + "ĠK at", + "T C", + "ĠTr ust", + "Ġob tained", + "Ġstat istics", + "Ġc arri", + "ĠJac ob", + "Ġspl it", + "ĠN ap", + "Ġreg ions", + "Ġinte g", + "Ġ192 6", + "ann ing", + "ĠBet ween", + "og ue", + "ĠG ab", + "Ġp aid", + "ĠOr iginal", + "Ġrece ive", + "ain ts", + "ĠSw itzerland", + "ĠD omin", + "Ġl ibrary", + "inc oln", + "Ġtra ins", + "iv als", + "ĠMan chester", + "ograp her", + "g ro", + "ĠHol y", + "ĠP ict", + "ĠTh ird", + "ĠAl ab", + "Ġb ow", + "Ġf estival", + "ĠJan e", + "ru it", + "ĠEm peror", + "ĠAnd erson", + "Ġpro pos", + "p ri", + "or i", + "ĠSen ior", + "Ġnot es", + "ĠChrist mas", + "Ġc ells", + "ug al", + "Ġdesign ated", + "ĠOk lahoma", + "ĠBuild ings", + "Ġsp ring", + "og s", + "ĠServ ices", + "l ines", + "Ġn et", + "Ġsup pl", + "in y", + "Ġp ack", + "ĠR a", + "ill er", + "Ġl iber", + "ĠF ac", + "ĠCh ampions", + "20 16", + "Ġmay or", + "Ġim age", + "Ġke pt", + "Ġsugg ested", + "el ine", + "m un", + "Ġmark ed", + "ĠB rian", + "Ġclaim s", + "ific ations", + "Ġtw enty", + "Ġlaun ch", + "Ġtr ue", + "ĠT urn", + "ous es", + "Ġmanag ers", + "Ġreg ul", + "ĠPro te", + "ic ians", + "ĠK am", + "Ġh y", + "ĠB arn", + "Ġd ial", + "f ef", + "ĠA le", + "Ġconfl ict", + "Ġveh icles", + "Ġpain ter", + "ĠChild ren", + "ĠL ar", + "Ġent ry", + "Ġinsp ired", + "ĠLem mon", + "Ġfig ures", + "200 2", + "Ġ192 3", + "Ġh all", + "ĠP oint", + "Ġsp irit", + "Ġre ports", + "Ġ19 16", + "Ġexper iment", + "ate ur", + "4 9", + "Ġsup ply", + "ĠD ue", + "Ġm ales", + "Ġsix th", + "Ġhead quarters", + "ĠN aval", + "Ġb ott", + "ĠFr ont", + "and y", + "ĠRe ception", + "Ġro yal", + "Ġcontin ues", + "Ġconne cted", + "1 00", + "ĠMc G", + "ro om", + "Ġw ins", + "ĠF ord", + "Ġsh op", + "Ġtra ffic", + "Ġd ensity", + "Ġg ives", + "ĠF il", + "ubl in", + "8 9", + "oot h", + "ĠK y", + "4 3", + "Ġport ray", + "N ew", + "ĠR un", + "ĠPr in", + "Ġ19 15", + "fef efe", + "qu es", + "Ġsl ight", + "ch a", + "ri p", + "Ġjud ge", + "Ġmaterial s", + "Ġact ually", + "Ġn ortheast", + "Ġthem e", + "ly wood", + "al so", + "ok ing", + "E R", + "Ġpart ner", + "Ġa im", + "Ġ7 5", + "; \"|", + "20 17", + "oth s", + "Ġop position", + "Ġcomp on", + "ĠP op", + "rat or", + "ĠAlab ama", + "ĠLab our", + "ĠHow ard", + "Ġpromot ion", + "Ġsucceed ed", + "Ġpur pose", + "Ġcl imate", + "ĠBas ketball", + "ĠAlbum s", + "ĠL ow", + "ol ished", + "u ous", + "ĠR ose", + "r in", + "ene z", + "ĠF ame", + "ĠL incoln", + "Ġte aching", + "ĠI V", + "ro it", + "Ġgre ater", + "ĠHam ilton", + "ĠE ric", + "ĠSing les", + "v ens", + "ĠN ative", + "Ġtri ed", + "ĠL ieutenant", + "Ġcompet itions", + "Ġet c", + "6 7", + "Ġfac ility", + "A A", + "ĠPl ot", + "ĠB attalion", + "ĠT el", + "l an", + "Ġallow ing", + "ional ly", + "l ife", + "ĠMiss iss", + "Ġb att", + "b ot", + "ĠB urn", + "ĠSur vey", + "Ġt alk", + "Ġpres erv", + "Ġs ays", + "ĠAust rian", + "ĠDou gl", + "off s", + "ĠK az", + "ĠY outh", + "0 1", + "Ġmusic ian", + "ĠN ich", + "ecut ive", + "ĠS n", + "ĠMar ine", + "Ġacc ident", + "ag u", + "ik h", + "hes s", + "Ġ4 2", + "Ġc ert", + "ĠFor ces", + "Ġsc ript", + "Ġvis it", + "wh ich", + "ipp i", + "ed ing", + "Ġhistor ian", + "e ast", + "Ġto wer", + "Ġsing ers", + "Ġpublic ation", + "Ġscient ific", + "ur ance", + "Ġt ells", + "Ġ @", + "ĠCh annel", + "ĠMount ains", + "Ġcan not", + "u v", + "ĠDes cription", + "ord an", + "Ġreturn ing", + "Ġgrow ing", + "Ġexist ing", + "ĠExp atriate", + "Ġf ully", + "ĠLoc al", + "ctic ut", + "ĠHar vard", + "achel or", + "ĠBuild ing", + "ĠArgent ina", + "Ġp le", + "Ġappl ied", + "Ġsl ow", + "Ġp air", + "ure au", + "Ġle tt", + "Ġsit uation", + "Ġal one", + "ĠCur rent", + "ad i", + "Ġm om", + "ut her", + "20 18", + "ĠHon or", + "Ġall ows", + "rel ated", + "st ic", + "Ġmag n", + "id ge", + "Ġa ired", + "ĠTem ple", + "olog ists", + "Ġmet res", + "Ġd raft", + "Ġop pos", + "Ġsp ot", + "ĠC ost", + "ĠN ow", + "d am", + "ĠPri x", + "st an", + "Ġfight ing", + "ĠW olf", + "in th", + "ĠD om", + "ĠM it", + "f inals", + "ist ry", + "Ġm ut", + "ĠR oll", + "ĠG ram", + "5 7", + "Ġy ellow", + "Ġc art", + "is er", + "ĠPro t", + "ĠMor ris", + "Ġd iplom", + "' .", + "w ich", + "Ġmeas ure", + "ard o", + "Ġsit uated", + "D on", + "Ġs uit", + "Ġun ique", + "Ġm ap", + "ial s", + "Ġ19 13", + "ĠA uthor", + "Ġsaf ety", + "ĠConne cticut", + "ĠSt one", + "Ġs ons", + "Ġbrother s", + "ĠAnth ony", + "20 19", + "Ġpr int", + "ast e", + "Ġad vanced", + "ĠL as", + "ĠJ am", + "Ġw ant", + "Ġe arth", + "Ġmain tain", + "Ġhe av", + "ol as", + "ĠHistor ical", + "ĠN ag", + "or gan", + "Ġgu est", + "clud ing", + "Ġfe et", + "ingu ished", + "ĠL ank", + "ĠSec urity", + "ĠCol omb", + "ĠB rand", + "igen ous", + "ĠJ ay", + "Ġold est", + "Ġag ent", + "ĠPat rick", + "eral d", + "ch i", + "ĠTai wan", + "Ġhand s", + "Ġclass es", + "on om", + "ĠSt ory", + "ĠQue bec", + "at al", + "out s", + "ĠSil ver", + "ell o", + "est er", + "ĠK arl", + "Ġs ides", + "h ol", + "Ġb ill", + "Ġly rics", + "ĠN FL", + "s ort", + "Ġchart s", + "c ont", + "ĠD ur", + "Ġfl ood", + "ĠSund ay", + "ĠW ell", + "ant on", + "ĠC ulture", + "Ġgo es", + "Ġnar row", + "Ġth ings", + "Ġv ice", + "ĠEr n", + "Ġl ot", + "ĠN a", + "ĠMag azine", + "ĠJu an", + "Ġh orse", + "ĠR ural", + "Ġch osen", + "j oy", + "Ġp un", + "ĠT ar", + "ĠL in", + "inem a", + "Ġg all", + "ĠV is", + "Ġar ms", + "Ġme ant", + "at us", + "6 8", + "ĠP ot", + "Ġset s", + "Ġloc omot", + "Ġtem ple", + "os lav", + "Ġex change", + "im ens", + "ĠC ensus", + "ĠN on", + "ress ion", + "ĠBec ause", + "ĠHou ston", + "Ġr isk", + "ĠW y", + "d ied", + "Ġcor por", + "ĠH un", + "Ġe as", + "ĠH amp", + "ĠLouis iana", + "Ġs ail", + "Ġth ir", + "ĠBrig ade", + "Ġport ion", + "Ġcommission ed", + "Ġpro ceed", + "z z", + "y ers", + "Ġal t", + "ĠDie go", + "ĠN Y", + "Ġsugg est", + "ĠLiber al", + "z en", + "Ġchall eng", + "h r", + "val ue", + "Ġb ought", + "Ġprincip al", + "Ġauthor ity", + "Ġ19 11", + "ra it", + "ig ration", + "Ġn ob", + "Ġro ll", + "l ades", + "Ġf olk", + "ĠF ellow", + "ĠT un", + "Ġcomplet ely", + "Ġneighbor hood", + "Ġachie ved", + "Ġs outheast", + "Ġanim als", + "ĠAll en", + "Ġre ference", + "Ġhold s", + "Ġcust om", + "ĠBelg ium", + "ĠLt d", + "el ve", + "ĠD ream", + "ĠSever al", + "ĠCh all", + "ĠH ockey", + "ĠAb out", + "Ġgl obal", + "pect s", + "ĠC emetery", + "ĠR ace", + "199 9", + "Ġref used", + "d es", + "Ġprote ction", + "bo x", + "ĠV in", + "S e", + "ĠK u", + "ĠPu erto", + "am ing", + "ĠTod ay", + "Ġexhib ition", + "ĠB ry", + "ag er", + "und er", + "o es", + "uc cess", + "Ġappro ved", + "ĠAmerican s", + "Ġattempt ed", + "5 1", + "Ġrap id", + "j o", + "Ġint ers", + "Ġ4 8", + "ĠS in", + "au x", + "ĠV ice", + "Ġcont ain", + "Ġveh icle", + "Ġsett led", + "Ġt ennis", + "Ġsoc cer", + "Ġsy m", + "Ġf ans", + "Ġa ctions", + "ĠP ap", + "Ġcre ating", + "ĠG ib", + "ĠGord on", + "ĠHung arian", + "Ġad vert", + "Ġ4 1", + "ĠDet roit", + "Ġl ake", + "Ġvis ited", + "ĠDougl as", + "6 4", + "Ġdef ined", + "ĠLegisl ative", + "if ically", + "Ġend ing", + "ĠPort ugal", + "ind er", + "Ġnecess ary", + "ĠAnton io", + "Ġcomb at", + "ress ed", + "Ġf air", + "iam i", + "pr ise", + "Ġattack ed", + "I T", + "ĠTer rit", + "c ar", + "rid ges", + "ĠDen mark", + "iv a", + "ag en", + "ĠHer itage", + "ĠP ed", + "ivers ary", + "Ġpil ot", + "S R", + "are n", + "Ġsim ply", + "ac hers", + "Ġrece iving", + "ĠPlay er", + "ĠMississ ippi", + "Ġaud ience", + "b ar", + "Ġ190 8", + "Ġconsist ed", + "Ġcont aining", + "ĠS el", + "t i", + "Ġag ed", + "Ġoper a", + "Ġadv ance", + "ur i", + "Ġres ources", + "Ġst orm", + "Ġfound ing", + "Ġun able", + "um a", + "ĠN ar", + "Ġdirect ors", + "ou red", + "ĠBang lades", + "ĠA D", + "ĠT rib", + "ĠIslam ic", + "Ġmethod s", + "ĠM and", + "Ġrepresent ative", + "ĠO ak", + "secut ive", + "ĠEn vironment", + "Ġexp ansion", + "Ġrepresent ing", + "Ġfl ow", + "ĠA C", + "Ġvol ume", + "Ġcons um", + "g or", + "Ġsubsequ ent", + "Ġd aily", + "Ġinh abit", + "Ġactress es", + "ĠOffic er", + "Ġloc ations", + "Ġproper ties", + "ĠFreder ick", + "ĠSam uel", + "Ġg od", + "Ġf ought", + "0 9", + "Ġattempt s", + "ag an", + "we et", + "ĠN atural", + "ĠB erg", + "Ġro of", + "Ġbro ke", + "Ġra in", + "ĠInd ependent", + "ĠAl an", + "Ġmach ine", + "gh an", + "Ġte le", + "Ġsim ple", + "ist a", + "ĠD al", + "en h", + "ĠF ern", + "Ġtre es", + "ĠS ky", + "ag ues", + "ĠEx press", + "Ġsched uled", + "ris is", + "le ts", + "Ġv ent", + "ĠR ivers", + "Ġfrequ ently", + "Ġresp ond", + "ĠIn formation", + "ĠR ab", + "ĠMus ical", + "Ġsh ared", + "p o", + "Ġb urn", + "ab ad", + "ĠB an", + "Ġretire ment", + "im ents", + "ĠPit ts", + "Ġcandid ates", + "ĠM aur", + "ile y", + "Ġw ear", + "Ġex clus", + "ĠWh it", + "Ġj azz", + "Ġop pon", + "Ġst ock", + "Ġ ;", + "in er", + "ĠR oc", + "P A", + "ĠY our", + "P S", + "5 2", + "ĠCl ark", + "ĠAnd re", + "Ġmem ory", + "5 3", + "os ed", + "Ġpie ce", + "Ġs pect", + "d on", + "Ġconver ted", + "Ġrel atively", + "an ia", + "Ġdr iver", + "Ġsom ething", + "ĠWel sh", + "a ctions", + "Ġstra ight", + "Ġch ampions", + "Ġliter ary", + "Ġpresident ial", + "Ġqual ified", + "Ġeffect ive", + "ĠPh ill", + "ĠJ ordan", + "Ġcop ies", + "Ġdef in", + "Ġg uns", + "5 4", + "ig ation", + "Ġunder st", + "us es", + "Ġm is", + "Ġwin ter", + "stitut ional", + "ĠB ird", + "Ġl it", + "ĠP un", + "ĠU N", + "l ong", + "ĠL I", + "ĠD h", + "ĠK a", + "ĠEx ecutive", + "Ġch urches", + "Ġ3 00", + "ie val", + "Ġm orning", + "Ġdr ive", + "Ġult imately", + "enn y", + "ĠAl ban", + "Ġinc ident", + "ip ients", + "n i", + "op ter", + "ĠB ou", + "ĠDo ctor", + "o en", + "Ġin aug", + "Ġgirl s", + "r um", + "ĠIndones ia", + "Ġfoc used", + "ĠIn ternet", + "Ġapp oint", + "Ġdrop ped", + "ĠA ge", + "Ġpol ic", + "Ġtr ust", + "Ġdom estic", + "Ġres c", + "Ġoccup ied", + "ĠHot el", + "Ġdef ense", + "Ġc overs", + "Ġend s", + "8 4", + "ĠG ard", + "Ġf aced", + "ĠM iami", + "ud i", + "ĠVill age", + "Ġperform ing", + "in burgh", + "ent ed", + "g ment", + "Ġshort ly", + "ĠComp et", + "Ġneg oti", + "ĠL am", + "ĠE ag", + "Ġcateg ory", + "Ġr ang", + "ĠC ricket", + "Ġent itled", + "Ġprof ile", + "ĠBo x", + "od ox", + "ĠSchool s", + "f all", + "Ġalle ged", + "ph as", + "ĠSqu are", + "ĠAdminist ration", + "o a", + "az a", + "l ad", + "Ġrecogn ition", + "ĠC ultural", + "ord ers", + "Ġ4 6", + "Ġcon secutive", + "w ise", + "Ġop posed", + "A M", + "0 4", + "U S", + "Ġre ar", + "ĠD ave", + "Ġa st", + "ĠU C", + "Ġch o", + "Ġse em", + "an es", + "ig e", + "Ġh arm", + "Ġprot est", + "ĠPri or", + "ĠPal est", + "stru cture", + "al ty", + "ĠF und", + "Ġ iron", + "ĠK ey", + "Ġsett ing", + "Ġcons ult", + "Ġtouch down", + "Ġ4 3", + "ĠC all", + "Ġdec or", + "ĠVill ages", + "Ġlearn ing", + "ĠIm perial", + "ĠK er", + "ĠD ak", + "ffic ient", + "og en", + "Ġin ternal", + "ik i", + "Ġident ity", + "ĠD ublin", + "199 8", + "ĠAcadem ic", + "ud get", + "ĠB ureau", + "Ġhe ight", + "Ġs um", + "Ġkill ing", + "Ġinvestig ation", + "or ough", + "ĠP ope", + "ĠF arm", + "p ret", + "Ġmic ro", + "Ġact s", + "Ġperman ent", + "ful ly", + "Ġmax imum", + "Ġ189 0", + "ĠOr th", + "Ġair port", + "aw n", + "ĠL anc", + "o ok", + "7 2", + "Ġpre par", + "ĠBudd h", + "en z", + "Ġgu ard", + "ĠD a", + "l ov", + "Ġb ul", + "d ale", + "Ġcon vers", + "Ġcontribut ed", + "Ġemploy ed", + "st ream", + "B l", + "ĠAthlet ics", + "Ġfield s", + "Ġ4 00", + "Ġhot el", + "ĠM ach", + "ĠPro f", + "Ġappl ication", + "ĠUp on", + "ĠOn ly", + "or ia", + "ĠMo ore", + "sc ape", + "ĠPr iv", + "Ġlett ers", + "m it", + "Ġlaw yer", + "Ġcorn er", + "20 20", + "ĠStud ios", + "ĠL ast", + "ac ent", + "\" ),", + "5 9", + "ĠI S", + "Ġhe ro", + "Ġenvironment al", + "ow nt", + "ay an", + "ĠIn n", + "Ġk il", + "ĠTam il", + "Ġ4 9", + "7 4", + "Ġnorm al", + "Ġland s", + "Ġher self", + "ĠMr s", + "Ġpaint ings", + "Ġoffic es", + "ĠArk ansas", + "ĠD ark", + "Ġinst all", + "ot te", + "g ency", + "ĠF M", + "ail and", + "ĠS ud", + "ĠT ig", + "Ġdeterm ined", + "Ġon to", + "Ġeconom y", + "Ġs ust", + "a ver", + "G en", + "Ġre in", + "ĠD all", + "Ġviol ence", + "Ġs ense", + "ĠRober ts", + "ĠSh ar", + "Ġspe ech", + "ĠC ru", + "ĠMalays ia", + "ĠM em", + "Ġcolle cted", + "Ġtechn ical", + "Ġocc urs", + "Ġestablish ment", + "Ġmult i", + "Ġvir t", + "Ġro t", + "ĠCl in", + "Ġbe gin", + "Ġsy nt", + "ĠD C", + "8 1", + "ĠV enez", + "ĠF riend", + "Ġext ensive", + "ĠC er", + "ĠAn na", + "Ġaltern ative", + "ĠL ang", + "ĠDep uty", + "red ited", + "ĠMatt hew", + "ĠEd inburgh", + "ĠGl obal", + "Ġcomp ris", + "ic ts", + "Ġcomp ar", + "ĠHaw ai", + "ap pe", + "ĠC our", + "ĠE ner", + "ĠL ith", + "199 7", + "le ep", + "ĠB art", + "Ġmer ch", + "ĠL yn", + "ĠCommun ist", + "ĠF em", + "7 9", + "6 1", + "Ġim pr", + "ĠBel gian", + "ĠBow l", + "ĠN el", + "ra c", + "Ġenc oura", + "Ġs ay", + "Ġmerg ed", + "ww w", + "at ab", + "ol o", + "Ġs an", + "p oint", + "ĠD VD", + "Ġdo ctor", + "f e", + "se ud", + "ĠSt ew", + "7 1", + "le ase", + "vel and", + "ĠG arden", + "ĠPlay ers", + "Ġj ur", + "Ġhigh way", + "Ġpower ful", + "Ġsupport ing", + "ĠSing h", + "Ġpoet ry", + "Ġstri ke", + "ĠOr chestra", + "ol y", + "ĠKe vin", + "Ġdyn asty", + "Ġarran g", + "olle y", + "ill ing", + "GB T", + "Ġse ctor", + "iss ance", + "Ġc as", + "ĠFin land", + "Ġen joy", + "d i", + "Ġav oid", + "Ġcent uries", + "Ġst adium", + "ĠG ian", + "ĠC ow", + "Ġgen eration", + "ĠComm ander", + "ĠMay or", + "Ġo x", + "Ġexpress ed", + "Ġf ranch", + "ĠR ow", + "im ore", + "ĠM oon", + "Ġ190 9", + "ĠAlf red", + "Ġgl ass", + "ĠP ra", + "ograph ical", + "Ġf ashion", + "Ġres igned", + "Ġc reat", + "ad ow", + "ĠSc ient", + "ĠT it", + "d ie", + "Ġre ign", + "ĠD ick", + "S p", + "Ġhold ing", + "Ġpartn ership", + "20 21", + "Ġ190 5", + "8 3", + "Ġcontra st", + "Ġpat ients", + "ĠDon ald", + "Ġapp arent", + "Ġmat ter", + "Ġ190 6", + "Ġp and", + "0 3", + "ĠP a", + "ĠJoh ann", + "Ġplann ing", + "Ġa uth", + "Ġbe yond", + "D e", + "Ġr ing", + "ĠH ills", + "Ġdec re", + "Ġm and", + "ren a", + "ac he", + "inc orporated", + "eng ers", + "Ġ3 9", + "oy d", + "Ġsp ok", + "Ġm arg", + "ĠSh ah", + "Ġfin ishing", + "Ġph ase", + "Ġpie ces", + "our ney", + "Ġre asons", + "Ġabandon ed", + "n ote", + "Ġcerem ony", + "Ġen emy", + "ĠPro du", + "Ġf uel", + "Ġs ought", + "r ine", + "ĠG on", + "Ġweap ons", + "ĠHon ours", + "E A", + "ĠQ ual", + "Ġind ependence", + "ry st", + "Ġneed s", + "Ġval ley", + "' '", + "ĠFootball ers", + "ĠAlex and", + "8 2", + "Ġfun ctions", + "az ines", + "Ġvis ual", + "e qu", + "ism s", + "Ġinj ured", + "Ġk ick", + "st ead", + "Ġcast le", + "ĠW he", + "Ġsuccessful ly", + "ĠH unt", + "ĠLaw rence", + "Ġfail ure", + "Ġ190 7", + "Ġjun ior", + "Ġfl u", + "s et", + "ĠAtl anta", + "Ġeduc ational", + "ĠF u", + "Ġw alls", + "ram a", + "ĠR yan", + "f ound", + "Ġbro wn", + "Ġpra ised", + "Ġsec retary", + "ĠTh ailand", + "ic ide", + "ur ation", + "ĠG ri", + "ĠMont real", + "ra f", + "olog ies", + "ĠH ug", + "ist ant", + "ĠMic ro", + "Ġst ating", + "Ġfind s", + "ĠM ale", + "ob e", + "Ġr ival", + "Ġwrit e", + "ist ers", + "ia b", + "ĠWalk er", + "Ġcr iminal", + "Ġs ac", + "ĠT ourn", + "0 2", + "ĠLa ure", + "Ġm ind", + "f r", + "ĠE ven", + "Ġconstitu ency", + "ĠR ub", + "ĠThe n", + "Ġde ploy", + "ĠAl umni", + "ĠUt ah", + "Ġim pl", + "ĠN ob", + "bor ough", + "Ġslight ly", + "rom e", + "ĠL og", + "Ġinhabit ants", + "wh ile", + "cy cl", + "Ġeth nic", + "Ġconne ction", + "ĠMunicip al", + "ĠWh at", + "re ct", + "ap ted", + "Ġinv ited", + "Ġro ugh", + "Ġt ry", + "199 6", + "ĠAg ric", + "199 0", + "ĠL iga", + "Ġregard ing", + "Ġback ing", + "og y", + "alle l", + "Ġw ays", + "ĠE nt", + "Ġinv asion", + "Ġwe alth", + "Ġfund ing", + "Ġprov ision", + "ĠF al", + "Ġs and", + "ĠL GBT", + "f rom", + "Ġref ers", + "I N", + "Ġh ydro", + "ĠK ings", + "Ġprogram me", + "Ġf resh", + "f riend", + "ĠAf ghan", + "act ive", + "ĠRel ig", + "if ul", + "ĠCle veland", + "ĠN av", + "Ġste el", + "on i", + "ĠI ce", + "ĠArgent ine", + "Ġdevelop ing", + "Ġpol y", + "6 3", + "Ġvot ed", + "199 5", + "Ġh yp", + "ul es", + "Ġder ived", + "D P", + "Ġpri est", + "Ġord ers", + "ĠMc K", + "ant asy", + "che ll", + "ĠCh ampion", + "ĠN ep", + "Ġent rance", + "Ġtown ship", + "c ome", + "Ġrelig ion", + "R C", + "Ġad ult", + "Ġh ired", + "ĠL iver", + "I t", + "ĠMP s", + "ĠPitts burgh", + "Ġpublic ations", + "Ġam b", + "ĠP as", + "Ġpass enger", + "Ġtemper ature", + "Ġadv ant", + "ĠH op", + "ĠO w", + "ĠSy m", + "ĠY ug", + "Ġpass ing", + "ĠB oys", + "r un", + "ĠP ur", + "f ather", + "Ġpremier ed", + "ĠRog er", + "fect ure", + "ĠRes erve", + "ĠSt age", + "Ġcall s", + "ĠC hem", + "ĠP rom", + "n ia", + "Ġnucle ar", + "ĠM ission", + "h ard", + "ĠMarg aret", + "and o", + "iam ond", + "ĠMet ropolitan", + "Ġ190 4", + "Ġp owers", + "Ġm el", + "Ġin stru", + "ĠD igital", + "v ements", + "Ġcaus ing", + "ĠW ard", + "ele ction", + "B I", + "or age", + "ĠE qu", + "Ġequ al", + "ĠSerb ian", + "7 3", + "Ġcl in", + "ish ops", + "ĠA M", + "ot ic", + "ĠI ron", + "ours es", + "ĠOtt oman", + "ĠG ene", + "ĠG ran", + "z er", + "Ġres erve", + "ĠRoman ian", + "ĠPet ers", + "Ġgen era", + "Ġinvol ving", + "ĠL l", + "Ġd a", + "Ġd ates", + "ĠB eat", + "6 2", + "ĠY an", + "ĠDis ney", + "ap olis", + "Ġfund s", + "ĠL et", + "Ġbo at", + "Ġem phas", + "ĠRail road", + "Ġc row", + "ĠS ac", + "Ġbas ic", + "ĠHung ary", + "ĠF el", + "Ġg ar", + "Ġesc ape", + "\" ).", + "ĠRoman ia", + "ĠJes us", + "ut ies", + "Ġpass es", + "Ġ *", + "Ġsele ction", + "ĠCom ics", + "Ġdec ades", + "ĠVenez uel", + "ĠR ick", + "us al", + "ĠF ight", + "ĠN AS", + "Ġprote ct", + "ĠM ult", + "ust er", + "Ġfle et", + "Ġconclud ed", + "Ġv o", + "Ġcont ained", + "pos es", + "ĠI mp", + "ter m", + "Ġpand emic", + "Ġv arian", + "Ġinc orporated", + "b urn", + "ĠGirl s", + "Ġy our", + "ĠM es", + "Ġp ed", + "ĠTransport ation", + "Ġ5 2", + "clus ion", + "Ġcompet e", + "Ġb ishop", + "ĠR io", + "Ġcompos ition", + "Ġtra v", + "ĠFinn ish", + "Ġm art", + "ĠS C", + "Ġdo ing", + "ĠBu ff", + "m ers", + "Ġregist ered", + "ĠWh o", + "is f", + "a fter", + "ĠFlor a", + "on omy", + "Ġadv oc", + "m at", + "s ki", + "Ġinflu enced", + "Ġinst alled", + "ĠD ance", + "s ong", + "ang er", + "ĠF all", + "ĠIn vest", + "' m", + "ĠHol lywood", + "ĠMic hel", + "av ed", + "Ġc ru", + "ĠSe attle", + "ĠN eb", + "Ġr ise", + "Ġtransl ation", + "Ġrequ est", + "ĠGr ant", + "Ġsome one", + "oth ing", + "Ġ188 0", + "% .", + "Ġsh ape", + "Ġe mp", + "A P", + "ap es", + "h ing", + "Ġexist ence", + "Ġo vers", + "n ers", + "Ġw arn", + "n et", + "uk i", + "Ġworld wide", + "Ġjoin ing", + "re es", + "Ġl aid", + "ĠR y", + "n ight", + "ĠR ights", + "Ġa id", + "ra cy", + "or f", + "ograph ics", + "Ġobserv ed", + "ĠMet ro", + "II I", + "Ġarg ued", + "Ġform al", + "Ġsc enes", + "W e", + "Ġview s", + "Ġemploy ees", + "ĠN et", + "Ġw atch", + "Ġdet ails", + "z i", + "Ġp ione", + "Ġconsist ing", + "Ġexper ien", + "ĠV eg", + "Ġmain tained", + ") \"", + "ĠP rad", + "re te", + "ĠCam er", + "ĠDef ense", + "Ġhom es", + "ĠT ak", + "hemat ics", + "ĠBalt imore", + "ĠF ive", + "ri k", + "Ġprom ote", + "Ġb odies", + "ĠB ull", + "or ro", + "ĠOb last", + "Ġan th", + "el and", + "Ġeng aged", + "Ġan aly", + "ĠEner gy", + "Ġrecord ings", + "ownt own", + "ret t", + "Ġcar ry", + "Ġ190 3", + "Ġsup erv", + "ĠPubl ishing", + "c ia", + "Ġanim al", + "ĠSe ction", + "L C", + "ĠBru ce", + "Ġdr ivers", + "Ġs oci", + "Ġsol id", + "un ction", + "Ġbir ds", + "ĠMar ie", + "ĠAr n", + "ĠCh amber", + "Ġsc ale", + "Ġstart s", + "Ġanim ated", + "h ar", + "ĠG a", + "ĠS af", + "S c", + "ĠMor gan", + "Ġstat ement", + "Ġcricket ers", + "Ġt or", + "ĠU E", + "Ġacc used", + "ra structure", + "as a", + "Ġband s", + "Ġop in", + "6 9", + "ĠPal ace", + "ĠTh ough", + "Ġcon stant", + "ĠColon el", + "r ations", + "ĠA y", + "idd en", + "Ġheav ily", + "ĠK an", + "ĠF ried", + "ĠR acing", + "Ġsur vey", + "Ġp ull", + "Ġqu ant", + "O R", + "Ġn om", + "Ġ5 1", + "ĠRuss ell", + "bass ador", + "un c", + "emb le", + "ĠWrit ers", + "Ġch air", + "ol t", + "Ġre aching", + "ell i", + "ĠB uck", + "st ar", + "ĠH ere", + "Ġtra ined", + "ov o", + "ang el", + "Ġso le", + "ĠKn ight", + "Ġpl ot", + "ul ate", + "ĠR ot", + "ĠCl ar", + "Ġad vent", + "Ġprote in", + "le te", + "ur day", + "Ġt ropical", + "Ġ5 5", + "ol ph", + "ĠP ear", + "pect ive", + "ĠOper ation", + "Ġspec ifically", + "ect s", + "ĠKel ly", + "Ġfound ation", + "Ġstand ards", + "Ġb atter", + "Ġass ess", + "Ġext rem", + "l on", + "ond er", + "Ġt rying", + "Ġ190 2", + "Ġ190 1", + "Ġarch ae", + "Ġeff ic", + "Ġcom ic", + "od a", + "ival ent", + "ĠSoc cer", + "p ers", + "ĠPe ace", + "Ġaff ected", + "ĠCro wn", + "ĠLe v", + "ĠChrist opher", + "id el", + "Ġb an", + "ch t", + "Ġchem ical", + "Ġis lands", + "Ġun cle", + "ĠF A", + "erb ai", + "Ġag ency", + "ĠD yn", + "h op", + "ather ine", + "ĠEx t", + "Ġimport ance", + "=\" #", + "ĠR est", + "it als", + "Ġbehav ior", + "ĠV ik", + "Ġtw elve", + "Ġvol unte", + "ĠP ad", + "Ġt un", + "Ġcomp ut", + "Ġt end", + "ĠYug oslav", + "arg o", + "ĠBanglades h", + "ĠPrin cess", + "Ġexp ed", + "t hen", + "d o", + "Ġto ward", + "Ġimpro ve", + "it ations", + "ĠP atri", + "Ġs ale", + "Ġm ent", + "ĠAd vent", + "ann ed", + "t op", + "et ies", + "int end", + "Ġhe ard", + "ĠDe an", + "ĠCo le", + "ĠLe ban", + "Ġtransl ated", + "Ġw rest", + "I V", + "ĠBroad cast", + "Ġv ide", + "ĠDe ad", + "Ġreb u", + "ĠPerson nel", + "ĠR and", + "Ġobject s", + "ĠStud io", + "or us", + "ine a", + "Ġh air", + "ĠMed icine", + "ĠP y", + "ash i", + "ĠMunicip ality", + "Ġs ession", + "ĠStew art", + "199 4", + "ĠYear s", + "ir t", + "ĠR an", + "Ġintro duction", + "aught ers", + "Ġre ality", + "Ġshe ll", + "Ġreg iment", + "Ġeng ines", + "ĠE ver", + "ĠFI FA", + "Ġneg ative", + "Ġl at", + "Ġse venth", + "Ġrece ption", + "ĠGl as", + "Ġpaint ers", + "ĠM aj", + "us cript", + "go ing", + "Ġde leg", + "ĠC are", + "Ġdep uty", + "ĠVi enna", + "own ed", + "Ġres istance", + "ann y", + "Ġw eather", + "Ġstr ateg", + "Ġsecond s", + "Ġcollabor ation", + "ĠCE O", + "ud a", + "ĠK on", + "Ġlic ens", + "Ġth row", + "Ġa head", + "es c", + "ĠHamp shire", + "bo ards", + "Ġar med", + "com ing", + "Ġn ick", + "Ġ4 7", + "b r", + "Ġ ille", + "Ġ {", + "ĠS ign", + "ĠMar ket", + "Ġdescrib es", + "Ġposs ess", + "ĠO ri", + "Ġad apted", + "ĠTourn ament", + "ĠL en", + "wh ite", + "Ġrul ed", + "ĠL ib", + "ĠB ed", + "ĠAss oci", + "ĠNe v", + "ĠTr ade", + "g ow", + "Ġproduc ing", + "os m", + "Ġext ension", + "est yle", + "Ġm ole", + "Ġaccom pan", + "ĠLith uan", + "ĠAng l", + "umb ent", + "Ġdist inct", + "ĠT rad", + "Ġz one", + "Ġbrief ly", + "D A", + "uss ion", + "ĠMe an", + "us hed", + "Ġd ivers", + "Ġp rice", + "Ġprov ed", + "Ġfact ory", + "ĠNel son", + "am ic", + "Ġ ri", + "ĠP sych", + "ĠG ill", + "le vel", + "Ġcall ing", + "C l", + "am an", + "ĠAz erbai", + "ĠE ston", + "ĠH orn", + "Ġdivision s", + "em en", + "Ġ ere", + "Ġentire ly", + "Ġpri ze", + "Ġste am", + "ĠPh ot", + "ĠO ur", + "Ġmar ine", + "ĠA T", + "ĠCamp bell", + "Ġcompos ers", + "Ġrev olution", + "ĠDall as", + "ĠLiver pool", + "Ġex erc", + "ink ing", + "Ġim ages", + "Ġle ct", + "M ar", + "ĠMain e", + "ĠSup port", + "Ġg ain", + "Ġclos ely", + "Ġup d", + "ĠConserv ative", + "aval ry", + "olley ball", + "ĠCh airman", + "in cluding", + "ĠOn ce", + "in ian", + "ĠAthlet ic", + "Ġschol ars", + "b al", + "Ġres idence", + "ect ive", + "Ġagric ultural", + "ĠA rena", + "ĠEconom ic", + "ĠH end", + "ming ham", + "ĠD od", + "ĠThom pson", + "ĠCarl os", + "ell ite", + "am s", + "Ġr ating", + "Ġch ose", + "duc ing", + "199 3", + "ĠAust in", + "ĠSar ah", + "ĠD ra", + "Ġnorth west", + "ĠK ra", + "ic it", + "Ġcaus es", + "Ġappl ications", + "ĠJim my", + "ah n", + "Ġdist in", + "Ġed ited", + "Ġinter ior", + "as ka", + "ov ation", + "ĠE very", + "Ġp ages", + "d y", + "Ġcontribut ions", + "Ġide as", + "Ġac id", + "ĠEp is", + "ĠNor man", + "ab y", + "ĠC hen", + "ĠF ood", + "Ġsur g", + "ĠM ethod", + "ĠAll iance", + "Ġsh all", + "th m", + "ina e", + "ĠW right", + "Ġm ilit", + "Ġdoc uments", + "ĠCom ple", + "ĠH ell", + "un ch", + "Ġcolon ial", + "Ġre duce", + "il er", + "Ġloc ality", + "Ġent ertain", + "Ġsymb ol", + "Ġin form", + "Ġcop y", + "Ġpass engers", + "ĠOrth odox", + "Ġdo or", + "f inal", + "ĠKenn edy", + "Ġfl at", + "Ġlead s", + "ĠUE FA", + "Ġproduc ers", + "ĠR ain", + "ĠPl at", + "Ġed ge", + "Ġdis miss", + "ĠAg ency", + "Ġp up", + "Ġopportun ity", + "in ch", + "ate gy", + "20 22", + "Ġathlet es", + "Ġ189 8", + "Ġch oice", + "Ġem ot", + "Ġg arden", + "inn er", + "Ġrail road", + "Ġbelie ve", + "Ġcharg es", + "Ġ5 4", + "aut iful", + "Ġgradu ate", + "og ether", + "199 2", + "Ġc rown", + "ins ula", + "Ġroad s", + "Ġstreng th", + "ent ially", + "ĠR ud", + "ĠBe ck", + "ĠO m", + "ĠN ord", + "ir i", + "Ġregard ed", + "Ġtechn iques", + "Ġw itness", + "Ġposs ibly", + "ĠOper a", + "p erson", + "ĠE mer", + "ĠAdam s", + "ĠL ower", + "ph a", + "Ġcomp ilation", + "ĠBrook lyn", + "ult an", + "W est", + "ĠB omb", + "Ġdebut ed", + "Ġpro ced", + "Ġinter ests", + "rane an", + "ĠSen ator", + "Ġon es", + "ĠK it", + "am o", + "uc ks", + "v ia", + "ĠFrank lin", + "Ġg etting", + "Ġres ign", + "ĠAp p", + "ar us", + "ĠBern ard", + "Ġimpro ved", + "Ġre ally", + "ĠB illy", + "ĠG ulf", + "ĠD ub", + "ĠN ash", + "Ġm ist", + "ph ony", + "at ures", + "ĠDem ographics", + "Ġcomm itted", + "ĠSerb ia", + "et ime", + "h aps", + "Ġa er", + "Ġoper ate", + "Ġdist ributed", + "Ġf lying", + "Ġan cest", + "ĠCo oper", + "ĠVol ume", + "aw are", + "ĠPort land", + "ob a", + "or ial", + "ter ed", + "Ġref uge", + "ĠRob inson", + "ĠTr ump", + "ĠDak ota", + "ĠCat al", + "ĠCon stitution", + "Ġadj acent", + "el er", + "ĠN am", + "Ġparticip ate", + "a ire", + "Ġf ine", + "ĠLI NE", + "ĠBir mingham", + "Ġc ore", + "le e", + "Ġsing ing", + "ĠP ir", + "ĠH om", + "Ġa x", + "Ġint elligence", + "ĠStan ley", + "are st", + "ĠBrother s", + "ĠI van", + "in ate", + "p en", + "Ġfav our", + "ĠW restling", + "p ir", + "Ġcon vent", + "Ġus ers", + "Ġw aters", + "Ġen l", + "Ġ15 0", + "Ġ189 9", + "Ġval ues", + "Ġcont rolled", + "ug ar", + "Ġs am", + "Ġdam aged", + "ĠL ud", + "Ġground s", + "oc racy", + "Ġcle an", + "Ġob tain", + "y pe", + "ĠUp per", + "Ġqu ite", + "u ct", + "Ġh am", + "ish ment", + "ĠTra ining", + "ĠMot or", + "b ach", + "Ġb rig", + "ĠMur ray", + "Ġ187 0", + "fer red", + "ĠV ari", + "ĠW ol", + "Ġsurv ived", + "Ġdemon st", + "ĠCon struction", + "writ ers", + "ic ate", + "ĠW a", + "Ġan s", + "ĠV erm", + "Ġpro s", + "ĠRe port", + "Ġclass ification", + "ĠTe le", + "ĠSoc orro", + "ĠB ush", + "gr ade", + "Ġse ctions", + "Ġfranch ise", + "ĠCh ang", + "Ġphot ograph", + "ĠMarsh all", + "ĠLINE AR", + "Ġrepe ated", + "Ġsub stant", + "ĠGra ham", + "Ġcomb ination", + "Ġit ems", + "Ġf ly", + "Ġmeas ures", + "Ġdra wn", + "et a", + "Ġb udget", + "Ġdef ensive", + "ish ments", + "ĠB ud", + "Ġbro ken", + "Ġcon sequ", + "aly mp", + "att an", + "ĠColle ction", + "ĠA BC", + "omm od", + "i op", + "ĠD oc", + "Ġelect ronic", + "Ġbel ief", + "Ġdefe ating", + "Ġpre m", + "ok a", + "s ch", + "h u", + "Ġann iversary", + "ĠYou T", + "Ġunivers ities", + "Ġshoot ing", + "ĠG ary", + "ors es", + "Ġbene f", + "ĠSat urday", + "Ġex act", + "l ie", + "ĠJ azz", + "Ġphil osophy", + "ĠA qu", + "Ġtrans ition", + "ĠMad rid", + "ill o", + "Ġdesign s", + "t ic", + "ĠS yn", + "Ġimpr ison", + "ĠM ort", + "ĠCar ter", + "ĠCh and", + "Ġt ank", + "Ġjust ice", + "Ġstand ing", + "Ġearl iest", + "Ġgr ade", + "Ġsign al", + "ĠR u", + "ĠTax a", + "ĠPier re", + "d in", + "Ġh our", + "ĠIn s", + "ĠSec ret", + "Ġgood s", + "ĠPre fecture", + "Ġw orth", + "ĠS i", + "Ġmom ent", + "I s", + "om ing", + "Ġown ers", + "Ġl ists", + "Ġm ort", + "Ġcapt ure", + "Ġfe ed", + "ĠIran ian", + "Ġjud ges", + "el ess", + "Ġmed icine", + "Ġre jected", + "Ġcritic ized", + "Ġd ry", + "c ious", + "ĠV ic", + "ĠCar ib", + "ĠV ers", + "r m", + "ĠC ass", + "Ġfinal s", + "d ers", + "ĠL ane", + "apt ist", + "b ishop", + "ĠArt ists", + "Ġtri p", + "N e", + "atab ase", + "ĠR ap", + "Ġprov incial", + "Ġhum ans", + "ĠP C", + "Ġhtt p", + "Ġcharg ed", + "Ġ6 3", + "Ġneigh bour", + "Ġact ual", + "Ġdeliver ed", + "ĠI v", + "ak ed", + "r ons", + "Ġch ain", + "or er", + "het ic", + "H e", + "Ġactiv ist", + "b ridge", + "ut ation", + "Ġd ie", + "ĠY orks", + "Ġpur poses", + "E E", + "Ġbott om", + "Ġ( ).", + "Ġrele g", + "ĠDef ence", + "G A", + "Ġpar allel", + "M an", + "w all", + "Ġpre mi", + "Ġgr ant", + "Ġ189 6", + "Ġinter pret", + "Ġcan cell", + "Ġter ror", + "ĠAg ain", + "oc a", + "Gen eral", + "Ġsk ills", + "Ġshow ing", + "ĠD aily", + "P C", + "Ġst ores", + "Ġreg ularly", + "ĠTh us", + "Ġv eter", + "c oh", + "b at", + "p at", + "ĠLe ad", + "abl ed", + "i ac", + "ĠMov ement", + "Ġs ell", + "ĠPar alymp", + "ĠJohn ny", + "hib ition", + "Ġprison ers", + "Ġmed ium", + "ant ly", + "ce ived", + "ĠA ld", + "if er", + "ot es", + "Ġg ets", + "be an", + "Ġse ems", + "Ġis ol", + "ĠS ax", + "ĠJ ason", + "Ġqual ifying", + "et on", + "T S", + "ĠCat hedral", + "ĠT ot", + "Ġven ues", + "t own", + "Ġc ourses", + "Ġgreat est", + "ol ar", + "ĠG or", + "Ġoppos ite", + "Ġro utes", + "ĠN ad", + "Ġn aval", + "Ġbusiness es", + "ĠCy cl", + "ĠW ing", + "Ġpubl ishing", + "Ġdesign er", + "ĠMedal ists", + "F M", + "Ġ189 7", + "Ġvict ims", + "ĠBen j", + "it able", + "ol ly", + "ĠGu y", + "ĠSt ra", + "Ġpurch ase", + "Ġhabit at", + "Ġsouth west", + "Ġa ware", + "Ġsub urb", + "ĠW oman", + "h t", + "ĠNaz i", + "Ġlegisl ation", + "ĠOrgan ization", + "al ia", + "w right", + "iel der", + "ĠLank a", + "Ġtri es", + "over ty", + "iter ranean", + "Ġ189 5", + "199 1", + "l s", + "Ġstri p", + "Ġpers ons", + "I nd", + "ĠEgypt ian", + "ĠAddition ally", + "Ġfact ors", + "ĠYorks hire", + "Ġresident ial", + "ou ver", + "Ġe gg", + "Ġjournal ists", + "E S", + "Ġ5 6", + "le ased", + "ast ery", + "ĠN BA", + "Ġin sc", + "op eration", + "Ġd ies", + "ĠH ig", + "Ġfre edom", + "Ġb oys", + "Ġmet ers", + "Ġm ile", + "Ġh its", + "Ġstand s", + "ĠAp pe", + "Ġg ender", + "d r", + "Ġscient ists", + "P ro", + "y ll", + "Ġmin ute", + "mer ce", + "ĠA R", + "Ġw ounded", + "x ual", + "Ġbusiness man", + "Ġhe at", + "Ġadm itted", + "r ong", + "Ġr ivers", + "Ġt ack", + "Ġadvant age", + "ĠT ob", + "ace ae", + "ol ia", + "Ġ5 3", + "Ġexam ples", + "ĠBe g", + "ĠM ack", + "Ġatt ached", + "ĠNiger ia", + "Ġarran ged", + "t ure", + "Ġkn ock", + "am ents", + "ĠR ico", + "le ans", + "ĠWind ows", + "Ġt ur", + "ĠAuthor ity", + "Ġdr iving", + "Ġm emorial", + "Ġh ill", + "ĠK um", + "Ġc risis", + "Ġal leg", + "h ai", + "ĠCap ital", + "Ġdev ice", + "Ġmot ion", + "ĠCo ok", + "Ġcy cle", + "' re", + "ĠSer ge", + "res ents", + "ĠWeb site", + "ip h", + "Ġdesc ription", + "ĠLiter ature", + "ĠTro phy", + "ĠF ull", + "Ġcost s", + "ĠI an", + "ĠGh ana", + "f iction", + "Ġcommun ication", + "Ġacc ommod", + "Ġst ages", + "um in", + "N C", + "Ġstre ets", + "Ġsy nd", + "ĠM oths", + "ĠGu ide", + "Ġs ave", + "Ġwh y", + "ĠEv ans", + "ĠPar ish", + "Ġeas ily", + "Ġro b", + "or ce", + "O C", + "Ġsequ ence", + "Ġcred ited", + "v ant", + "end ment", + "ĠGr ay", + "ĠH as", + "Ġs uff", + "Ġcl imb", + "Ġd uty", + "ĠGr ade", + "as ure", + "Ġsub mar", + "Ġdec ade", + "l ow", + "Ġm ine", + "Ġr ich", + "Ġrest rict", + "Ġdeterm ine", + "Ġfa ith", + "as i", + "198 0", + "se a", + "Ġstar red", + "Ġro oms", + "ĠDer by", + "ĠS r", + "Ġcomm une", + "M P", + "- -", + "ĠElect ric", + "Ġk id", + "Ġcour ts", + "ĠEle mentary", + "Ġprote cted", + "ĠNot e", + "Ġg ang", + "Ġtyp ical", + "ia h", + "ĠH um", + "Ġmembers hip", + "ot hes", + "Ġren ew", + "ĠRich mond", + "Ġf er", + "Ġpain ted", + "a uty", + "Ġdem and", + "Ġcom ed", + "ĠGlas gow", + "ay ed", + "rap y", + "Ġs ki", + "ĠOr leans", + "Ġmy th", + "ĠU g", + "Ġass umed", + "Ġret ained", + "Ġa f", + "ĠCon vention", + "ĠMed iterranean", + "e enth", + "Ġb ond", + "Ġrun ner", + "ie ce", + "Ġh unt", + "Ġcirc um", + "b ul", + "Ġre action", + "Ġassist ance", + "Ġthe ater", + "ĠPrim ary", + "Ġoper ates", + "pro fit", + "Ġrest ored", + "ĠJ ama", + "ĠE ug", + "r ant", + "Ġaccompan ied", + "Ġnick n", + "ĠL ad", + "m und", + "Ġmin ing", + "Ġinvest ment", + "ĠF oot", + "Ġp ool", + "oh n", + "ĠJud ge", + "ĠMil an", + "Ġoff ensive", + "ch o", + "Ġte en", + "Ġf an", + "ĠM ond", + "ĠS S", + "ĠM ap", + "op al", + "ĠBor ough", + "Ġc ited", + "ĠUr ban", + "ĠBar ry", + "ĠCrit ical", + "ĠT u", + "Ġfl o", + "ann els", + "Ġvide os", + "Y ou", + "s er", + "ĠPublic ations", + "m ith", + "ĠConf eder", + "c ussion", + "ĠDisc ography", + "ĠFle et", + "ĠChall enge", + "ĠHind u", + "ĠSpec ies", + "ĠF ather", + "ĠC her", + "il st", + "198 9", + "Ġcon text", + "a ired", + "Ġ5 7", + "ĠMu ham", + "ter y", + "Ġp ian", + "Ġrep resents", + "Ġse ed", + "Ġut il", + "ĠTig ers", + "ĠP av", + "c op", + "Ġf est", + "ĠSal v", + "ĠWay ne", + "Ġb rain", + "Ġnot ably", + "Ġexecut ed", + "Ġhead ed", + "ĠBroad way", + "Ġf ra", + "Ġd oll", + "R S", + "ĠW W", + "ĠK ath", + "ran g", + "ick et", + "ĠThe ater", + "ĠFran ces", + "C D", + "cycl op", + "Ġexperien ced", + "Ġc ous", + "on ian", + "Ġret ail", + "ac c", + "Ġnewsp apers", + "Ġadv is", + "Ġb ed", + "d oor", + "Ġf ired", + "ĠAnd y", + "Ġst ood", + "ĠM i", + "iv ated", + "ĠAct ress", + "Ġ189 3", + "ĠPict ures", + "Ġchall enge", + "Ġman uscript", + "Ġpolic ies", + "Ġpr ime", + "Ġgr ass", + "Ġ6 2", + "Ġs ed", + "is hers", + "ĠH old", + "ĠSele cted", + "Ġcolle ctions", + "Ġd ating", + "re c", + "Ġ186 0", + "ĠPrad esh", + "Ġc aught", + "ak u", + "Ġreturn s", + "or row", + "Ġsepar ated", + "o i", + "Ġlook ing", + "edd ing", + "ĠF ace", + "Ġcar rying", + "Ġin fl", + "Ġj ump", + "th a", + "ĠV as", + "Ġher itage", + "Ġdou b", + "Ġcon qu", + "i ation", + "ĠB aker", + "Ġra cial", + "I P", + "k ov", + "c ular", + "in ter", + "Ġs elling", + "ĠPolit ics", + "Ġt ail", + "Ġform ally", + "g ie", + "ĠPh oen", + "Ġconcern s", + "ĠR ena", + "Ġb ran", + "Ġr hy", + "ĠWar ren", + "ĠCent ury", + "ĠN ever", + "Ġuns uccess", + "ows ki", + "Ġw ings", + "ot an", + "ĠF rid", + "ĠH it", + "Ġstop ped", + "Ġass ault", + "P h", + "ĠYouT ube", + "ĠP il", + "Ġele ctoral", + "ĠFl ore", + "ĠV el", + "ĠBl ues", + "ĠM ong", + "uk a", + "ĠPer u", + "ac on", + "Ġ189 4", + "c hers", + "Ġ188 9", + "ĠB rist", + "ĠL ov", + "Ġkil omet", + "ĠD J", + "ĠGab ri", + "ĠN at", + "ĠSe ven", + "ra ge", + "Ġde st", + "Ġn or", + "ĠMit chell", + "R e", + "ĠCharl ie", + "ĠJ osh", + "ul u", + "Ġf iled", + "ec ution", + "ĠF act", + "ĠDel hi", + "ie ge", + "ĠBenj amin", + "Ġrestaur ant", + "y les", + "att ers", + "Ġd uties", + "ras ka", + "Ġast ron", + "ĠRang ers", + "Ġcar bon", + "ro c", + "Ġ189 2", + "Ġe ye", + "ĠA er", + "ind ing", + "Ġun iform", + "ĠM other", + "ĠMon te", + "Ġv aria", + "Ġatt ract", + "ĠSlov ak", + "Ġinstr uments", + "Ġt all", + "Ġmag azines", + "lo ad", + "amp s", + "Ġend emic", + "op les", + "is d", + "ĠA S", + "ĠR al", + "ĠLim ited", + "it ime", + "ĠR av", + "ĠC art", + "Ġsom ew", + "Ġsignificant ly", + "ĠL anguage", + "Ġin her", + "ĠM ans", + "ĠG un", + "ok ed", + "ĠC ase", + "ĠMan h", + "ĠPol y", + "ten ance", + "anc ouver", + "Ġshe l", + "j ab", + "Ġguitar ist", + "Ġcoast al", + "Ġadapt ation", + "Ġlin k", + "Ġnot hing", + "Ġcolle ges", + "Ġsever e", + "ĠB und", + "ĠB enn", + "Ġarr ival", + "ĠQu arter", + "ĠM all", + "ĠN orm", + "ĠComp anies", + "ĠM ess", + "Ġdemon str", + "orn e", + "Ġth ick", + "m aster", + "Ġpre ced", + "Ġcritic ism", + "Ġleg end", + "ĠR ic", + "ĠHawai i", + "Ġtest ing", + "p age", + "Ġdeg rees", + "ĠNov a", + "ĠNev ada", + "ĠGu inea", + "ĠColomb ia", + "Ġown ership", + "Ġwind ows", + "ĠTown s", + "forman ce", + "ar an", + "aw ay", + "Ġb at", + "ĠNep al", + "Ġexpress ion", + "H S", + "igg est", + "Ġequ ivalent", + "Ġrom antic", + "Ġb rick", + "Ġrespons ibility", + "Ġbring ing", + "or iginal", + "Ġob l", + "eg et", + "Ġin stitution", + "Ġexpl os", + "ĠN ation", + "ut ions", + "Ġ1 20", + "Ġcol our", + "ĠB urg", + "ĠCon n", + "Ġus er", + "ĠVo iv", + "le ton", + "h ab", + "ĠZ e", + "ĠAnd r", + "as hed", + "Ġmed als", + "ok er", + "ĠAlbert a", + "ĠNeb raska", + "Ġchampionship s", + "ĠM ak", + "Ġinc orpor", + "ĠB achelor", + "Ġorgan isation", + "Ġpo ets", + "id ency", + "Ġd aughters", + "Ġdep end", + "l ock", + "ĠWar ner", + "Ġpract ices", + "Ġfl ower", + "c ount", + "gress ive", + "usal em", + "N o", + "Ġlearn ed", + "ph an", + "Ġpo em", + "Ġfl owers", + "Ġsuccess or", + "he me", + "Ġco ordin", + "Ġother wise", + "ĠBarb ara", + "ĠSc hed", + "Ġmunicipal ities", + "ĠV lad", + "Ġ188 5", + "is ations", + "Ġvess els", + "Ġst orage", + "Ġsugg ests", + "ĠStand ard", + "ĠBuff alo", + "Ġin du", + "ĠPhilipp ine", + "ĠG rad", + "Ġfilm ed", + "ĠWeek ly", + "Ġunder standing", + "ph one", + "ship s", + "wh o", + "ast rop", + "ĠAl t", + "Ġreplace ment", + "ĠJ enn", + "Ġ189 1", + "bre ak", + "ĠCarib bean", + "ĠMin or", + "ĠHun ter", + "Ġh ur", + "o om", + "Ġwind ow", + "Ġcol span", + "odes hip", + "ĠT ower", + "Ġfact or", + "Ġch ance", + "ater n", + "ĠY e", + "i ya", + "p ower", + "Ġp hen", + "arm a", + "Ġw ave", + "ĠSpe ed", + "Ġlin ked", + "Ġcrow d", + "O N", + "il k", + "ĠF itz", + "ĠMuham mad", + "ĠU nt", + "Ġacc ur", + "Ġturn s", + "st ances", + "Ġmed ieval", + "Ġcross ing", + "ĠAl aska", + "ĠJon athan", + "le m", + "Ġprep ared", + "x ts", + "Ġclass ified", + "Ġrece pt", + "Ġdis appe", + "Ġcover age", + "D S", + "ĠP ant", + "ĠW ang", + "u y", + "Ġdif ference", + "Ġdi agn", + "ĠF ine", + "Ġpeak ed", + "M E", + "Ġhost s", + "elle ct", + "en ia", + "Ġcomm emor", + "st ad", + "Ġnomin ation", + "Ġsound track", + "Ġinter ested", + "Ġb anks", + "og le", + "n ik", + "ĠGre ater", + "Ġf rag", + "ĠJ ess", + "Ġ7 6", + "Ġauth ors", + "Ġoccup ation", + "ĠRe lease", + "Ġrec ip", + "rupt ion", + "ĠSt ars", + "ĠV ancouver", + "Ġt ied", + "Ġmon ument", + "ĠVictor ian", + "ĠCharl otte", + "av an", + "Ġdev ices", + "Ġm outh", + "ch ang", + "Ġdid n", + "ĠTechn ical", + "198 8", + "Ġartist ic", + "f are", + "ĠAp ple", + "ĠK os", + "ĠP A", + "Ġv eget", + "Ġf ictional", + "ĠL ate", + "Ġweek ly", + "ĠBeng al", + "ien cy", + "ĠProt est", + "ĠS aints", + "ĠUn it", + "ĠCon stant", + "ĠT ang", + "ĠRec ipients", + "ĠAm az", + "Ġinv ent", + "Ġthe ore", + "ĠA P", + "Ġcover ing", + "Ġens ure", + "Ġd anc", + "Ġm obile", + "ĠS um", + "Ġrec ru", + "Ġte achers", + "Ġland ing", + "Ġdesc end", + "Ġun us", + "Ġsubject s", + "ĠBl ood", + "ĠT ag", + "ĠH ud", + "ark ed", + "Ġ| }", + "ict ions", + "ant ine", + "Ġag encies", + "ĠAss istant", + "Ġfl ows", + "Ġparliament ary", + "Ġb iggest", + "anc ell", + "Ġchild hood", + "Ġ6 1", + "Ġass ass", + "ĠVoiv odeship", + "ĠAl ger", + "en burg", + "ar on", + "Ġas pects", + "ens es", + "ĠL uther", + "ĠHe b", + "ri x", + "ĠNich olas", + "ĠClass ic", + "Ġ ign", + "ĠDef unct", + "ĠChart s", + "ĠL ore", + "ot ype", + "ĠAl ice", + "ĠSt re", + "ĠOn line", + "198 7", + "Ġart illery", + "ik o", + "A m", + "Ġs un", + "ĠP le", + "Ġc old", + "ĠFil ip", + "ourn als", + "Ġp od", + "ric ane", + "Ġexper t", + "er ia", + "Ġde pos", + "Ġstr uck", + "ĠC hel", + "Ġsquad ron", + "m osp", + "iv ia", + "Ġmanufact uring", + "ĠInd ians", + "ĠF ab", + "ĠSte el", + "ĠP ast", + "ĠEx per", + "Ġcount ies", + "ĠUl t", + "Ġpopular ity", + "ou stic", + "an im", + "Ġ188 8", + "Ġminist ers", + "ĠGri ff", + "g ov", + "Ġstay ed", + "Ġv ary", + "ĠDist ribution", + "ĠBrist ol", + "ess ions", + "oc ol", + "Ġc up", + "iv an", + "ĠLu is", + "ĠS umm", + "Ġhistor ians", + "ĠO range", + "Ġelim inated", + "Ġforest s", + "Ġs ort", + "force ment", + "Ġass embly", + "E ng", + "ĠF ish", + "Ġd og", + "f olk", + "f ers", + "id ad", + "ĠFac ulty", + "j u", + "Ġappro pri", + "ounc ill", + "ĠC ode", + "ĠS id", + "ĠAfghan istan", + "Ġclass ic", + "ur u", + "ĠP in", + "Ġro se", + "Ġp apers", + "old s", + "Ġre ferences", + "ue z", + "ĠSt orm", + "Ġdisestabl ished", + "Ġgen e", + "sh aped", + "Ġaccom pl", + "in ations", + "ĠJer usalem", + "Ġeven ing", + "Ġlocomot ives", + "Ġd ated", + "Ġele ment", + "ĠPark er", + "ĠMor oc", + "ĠD NA", + "il ia", + "Ġhead s", + "Ġpict ure", + "ĠT ol", + "ĠAp pl", + "Ġsc heme", + "ĠC inc", + "h us", + "Ġm anga", + "oth y", + "og a", + "M C", + "Ġd im", + "b el", + "Ġch annels", + "Ġinf rastructure", + "ĠAdm iral", + "ĠM ind", + "Ġ5 8", + "ĠSm all", + "Ġl es", + "Ġche ck", + "Ġf ram", + "Ġrequire ments", + "Ġgradu ating", + "Ġ id", + "Ġf alls", + "ĠS R", + "Ġor chestra", + "Ġappoint ment", + "ĠMean while", + "ĠK ap", + "h and", + "ĠU nd", + "Ġ vert", + "ĠSa udi", + "ĠM aced", + "Ġt ie", + "st ory", + "ĠN i", + "Ġsynt hes", + "ann er", + "ush ing", + "Ġag greg", + "Ġaff airs", + "Ġpen alty", + "Ġprocess es", + "Ġwithd raw", + "Ġwhe el", + "ĠS ide", + "ĠSo ft", + "ĠOl iver", + "ĠCont emporary", + "ra ce", + "ov en", + "ĠE sp", + "Ġcondu ct", + "Ġsign ing", + "Ġn ations", + "Ġb it", + "app ing", + "ĠR AF", + "Ġ188 7", + "Ġf ixed", + "ĠA round", + "ĠKn ights", + "ĠIn it", + "ĠE vent", + "m m", + "Ġ186 5", + "Ġsent enced", + "Ġround s", + "Ġl ieutenant", + "Ġt ask", + "Ġdif ferences", + "Ġaud io", + "Ġconv icted", + "Ġs now", + "Ġre nt", + "kn ow", + "ĠA ction", + "Ġp overty", + "c ons", + "Ġr ates", + "ĠKn ow", + "ĠCl are", + "ur ers", + "Ġcomm it", + "ĠPr incip", + "Ġnomin ations", + "Ġr u", + "Ġthous ands", + "Ġst ret", + "ĠAnt i", + "Ġrepl acing", + "ĠK un", + "c ard", + "ĠSh a", + "rib ed", + "is ition", + "ĠB ron", + "Ġopin ion", + "ĠManh attan", + "Ġappear ing", + "Ġexped ition", + "Ġl iqu", + "ĠN ature", + "Ġpl ane", + "ĠS oul", + "Ġchap ter", + "claim ed", + "Ġquest ions", + "i ary", + "ĠS ultan", + "198 6", + "ij ing", + "w ig", + "ĠHis pan", + "ĠArt illery", + "Ġmov ements", + "ĠB ert", + "Ġenc ounter", + "cast le", + "Ġev olution", + "Ġextrem ely", + "Ġj ourney", + "Ġm ental", + "ĠTr inity", + "ĠFre edom", + "ĠH em", + "Ġsur re", + "Ġso il", + "Ġm ac", + "i ors", + "f ish", + "ar is", + "Ġlim it", + "b oy", + "Ġmon arch", + "Ġportray ed", + "Ġind igenous", + "ĠY am", + "Ġrel ative", + "p ent", + "u is", + "Ġadd ing", + "Ġemer gency", + "ĠCroat ian", + "ĠP age", + "ĠMod el", + "ĠDi ocese", + "ele cted", + "Ġl ov", + "f eld", + "Ġindic ate", + "ĠCont rol", + "Ġs ax", + "Ġtem porary", + "press ion", + "ĠTra il", + "Ġwood en", + "Ġnot e", + "ĠIs a", + "al is", + "ĠPl ant", + "le ment", + "Ġpl ate", + "in os", + "Ġwe ak", + "ach t", + "ĠKir k", + "Ġcap able", + "ĠBar cel", + "Ġstr ategy", + "in ces", + "198 5", + "ĠF alls", + "Ġme ets", + "Ġterrit ories", + "ĠSh ang", + "kee per", + "Ġ186 4", + "Ġtechn ique", + "ĠEduc ational", + "ĠMar s", + "Ġsu icide", + "Ġphot ography", + "Ġoffer ing", + "ĠY u", + "ĠAd ela", + "Ġw or", + "Ġ188 6", + "ĠF eat", + "ĠHarris on", + "b ut", + "ĠPo et", + "ĠB ranch", + "oph one", + "Ġh ip", + "ist ani", + "Ġsubs idi", + "Ġdef ence", + "ĠK o", + "Ġag o", + "us c", + "ĠP ay", + "ĠTerrit ory", + "Ġam ateur", + "Ġmount ains", + "he red", + "m aker", + "uss ian", + "ĠRe f", + "Ġvol umes", + "Ġloss es", + "Ġking dom", + "Ġel der", + "Ġsusp ended", + "Ġv ision", + "ĠSh ip", + "ĠCh ron", + "ĠD raw", + "er k", + "ĠM L", + "ĠZ one", + "h ost", + "Ġactiv ists", + "Ġhor ror", + "ĠSocial ist", + "ro v", + "im ir", + "Ġrough ly", + "Ġo ption", + "ĠArmen ian", + "ĠEle ction", + "Ġl ap", + "E D", + "c are", + "ĠL ost", + "Ġc ards", + "ĠCost a", + "m ate", + "ĠColl ins", + "ĠGl en", + "Ġpo ems", + "cel and", + "Ġassoci ate", + "ĠT ib", + "ĠC BS", + "Ġbound ary", + "en berg", + "st ery", + "St ar", + "ĠL ag", + "Ġal coh", + "Ġcompet ing", + "ir ation", + "Ġpropos al", + "Ġden ied", + "ĠL is", + "ge on", + "Ġe yes", + "Ġrel ief", + "ĠPriv ate", + "ĠEd ition", + "Ġ186 1", + "ĠPhoen ix", + "ĠT as", + "inn ati", + "ĠVin cent", + "ĠF isher", + "ab a", + "197 0", + "udd en", + "aj a", + "ra ck", + "ĠS outheast", + "198 4", + "Ġc atch", + "ĠTurn er", + "ĠR ank", + "u art", + "Ġ6 6", + "ĠGian ts", + "ew ork", + "ag g", + "Ġappe al", + "ĠC A", + "uck land", + "Ġcompon ents", + "ĠB aptist", + "ist ical", + "Ġrec re", + "ĠE U", + "ĠFilm ography", + "ĠCub a", + "ic on", + "ĠC ities", + "ĠUnivers al", + "Ġev al", + "ĠEs s", + "Ġfind ing", + "Ġ18 50", + "Ġ186 3", + "ĠB ible", + "ĠM A", + "ud es", + "ĠC ond", + "ac re", + "Ġcred it", + "ĠAzerbai jan", + "Ġim ag", + "ĠArchite cture", + "Ġf oss", + "Ġh ang", + "ĠS ah", + "ĠSp irit", + "Ġf ruit", + "Ġper cussion", + "Ġf al", + "te enth", + "ĠF ell", + "g ate", + "Ġpl us", + "Ġbran ches", + "Ġmess age", + "Ġexper iences", + "Ġthreat ened", + "ĠOriginal ly", + "Ġceleb rated", + "Ġass ign", + "ĠH ouses", + "Ġent ering", + "com mun", + "ĠF if", + "Ġexpl ained", + "ĠCommission er", + "ĠAnt ar", + "Ġentertain ment", + "ĠFl ight", + "ĠR at", + "ĠP ow", + "ĠSym phony", + "ĠIndust rial", + "Ġe ighth", + "Ġinvol vement", + "ĠPopul ation", + "at ar", + "ett a", + "Ġdou bles", + "an ne", + "ĠN E", + "Ġc m", + "ĠComp uter", + "Ġdem olished", + "ĠOver all", + "ĠPun jab", + "Ġdecl ined", + "Ġlic ense", + "Ġun f", + "Ġf ishing", + "l ater", + "m el", + "ĠS ite", + "Ġjur isd", + "ĠProf ile", + "Ġm oth", + "Ġdeb ate", + "Ġthe at", + "ĠRet urn", + "m od", + "Ġint ent", + "Ġswim ming", + "ĠAn cient", + "Ġhelp ing", + "Ġsp r", + "Ġaccount s", + "Ġ186 2", + "f ielder", + "ier ra", + "ĠS ad", + "Ġcous in", + "Ġconserv ation", + "ĠArt ist", + "ry pt", + "Ġg ather", + "Ġachie ve", + "b ane", + "il arly", + "ĠCra ig", + "os ph", + "Ġsup posed", + "us ing", + "ĠN BC", + "C on", + "ĠHer bert", + "Ġre nd", + "ty pe", + "Ġcontrovers y", + "Ġ188 4", + "ig o", + "ĠCommun ications", + "Ġra ise", + "ĠJer ry", + "Ġd ress", + "v ision", + "Ġst ring", + "ĠB ass", + "ĠG rey", + "Ġm ob", + "ot ton", + "Ġform ing", + "ĠCinc innati", + "is in", + "Ġinflu ential", + "ĠBarcel ona", + "st ers", + "D F", + "Ġcal cul", + "Ġex cell", + "ĠAl ong", + "Ġw arm", + "Ġstud ying", + "ĠJ oy", + "h ill", + "Ġmiss ions", + "Ġs olution", + "Ġf illed", + "ster dam", + "od ge", + "Ġprom pt", + "s a", + "ĠAdela ide", + "Ġaff ect", + "ĠH amb", + "w here", + "iss ue", + "re pre", + "ĠB ath", + "as p", + "Ġb en", + "Ġind icated", + "Ġ5 9", + "oy al", + "je ction", + "ĠL ions", + "Ġv ar", + "ĠA uckland", + "Ġlaw yers", + "hol m", + "ĠTh or", + "Ġrequ ires", + "M I", + "ĠC old", + "ĠH erman", + "ĠC ou", + "repre ne", + "198 3", + "ĠMun ich", + "Ġdra g", + "ĠSt art", + "ĠL P", + "ĠA viation", + "verse as", + "Ġarchitect ural", + ". :", + "A ll", + "ĠD og", + "hel m", + "ĠC S", + "g un", + "ĠH ugh", + "ag ar", + "Ġspirit ual", + "ĠShe l", + "ĠJ a", + "Ġcr ash", + "ĠC ob", + "Ġinj uries", + "Ġw restling", + "Ġparticip ation", + "Ġper haps", + "ĠWinn ers", + "ĠCan al", + "en cer", + "am pton", + "Ġor ient", + "Ġj ournals", + "ar ks", + "id o", + "ĠCroat ia", + "e or", + "ĠS z", + "ĠG oth", + "Ġprofess ion", + "ign ated", + "Ġsec ure", + "let t", + "ĠMag n", + "Ġvot ing", + "re hens", + "x i", + "ĠHe avy", + "ar at", + "and al", + "Ġ188 1", + "Ġp itch", + "m o", + "ĠD raft", + "ĠG round", + "ĠK ur", + "Ġd owntown", + "oc ation", + "ament al", + "Ġvess el", + "? \"", + "Ġcam era", + "ĠAngl ican", + "Ġrank ing", + "Ġinst ance", + "ĠCl ay", + "Ġ7 2", + "ĠB es", + "Ġcr imes", + "Ġsurround ed", + "Ġfr ame", + "Ġman ner", + "Ġc rop", + "Ġsh ut", + "ĠCr ime", + "ĠEx pl", + "Ġappro val", + "ĠBroadcast ing", + "ah o", + "ĠH av", + "Ġland scape", + "rib ute", + "ames e", + "ĠC ad", + "ot yp", + "Ġexist ed", + "Ġmark ets", + "Ġ6 7", + "ĠGon z", + "Ġperson ality", + "M L", + "ĠR ing", + "Ġbatt les", + "ĠS che", + "Ġ rif", + "ĠConserv ation", + "ah a", + "ĠH ann", + "Ġdep th", + "Ġele ven", + "e ed", + "ĠBe ijing", + "y t", + "Ġrepresent ation", + "inent al", + "ig ible", + "d est", + "Ġper fect", + "Ġse gment", + "Ġprot ests", + "ĠLl oyd", + "Ġsold ier", + "ĠY ang", + "Ġcor rect", + "r ub", + "ĠS ig", + "ĠS now", + "so ft", + "Ġm ir", + "ĠI celand", + "ĠB our", + "Ġann ually", + "Ġt ribut", + "f ly", + "Ġcomplet ion", + "at ically", + "Ġdon ated", + "ĠPer formance", + "ĠSystem s", + "ĠM asters", + "ĠArch ae", + "ont in", + "Ġl ob", + "Ġv ic", + "ĠTer ry", + "ab ilities", + "om on", + "Ġout put", + "Ġser ial", + "ĠB ris", + "ĠMont ana", + "ellect ual", + "ĠF inals", + "Ġex ternal", + "Ġthem es", + "Ġd ub", + "ĠBe h", + "born e", + "Ġnet works", + "Ġth in", + "Ġ8 5", + "Ġsk in", + "ia ble", + "ĠKe ith", + "Ġrepresent atives", + "ĠP el", + "p ine", + "ĠP ack", + "Ġmod ified", + "ĠY ale", + "Ġinf antry", + "p read", + "ĠArab ic", + "Ġcab inet", + "Ġf ear", + "Ġc ool", + "ĠB att", + "ul i", + "Ġsurv iving", + "iss ions", + "ĠIndust ry", + "ĠG ay", + "ĠF am", + "Ġconc rete", + "ĠP ont", + "if ican", + "iz ations", + "Ġpubl isher", + "Ġw ides", + "Ġb on", + "ĠWith in", + "ĠV I", + "ĠPol icy", + "ine e", + "Ġequip ped", + "Ġvis itors", + "ic ial", + "N S", + "ĠTy pe", + "ĠSh aw", + "ĠSte vens", + "iv ation", + "Ġhon ors", + "O M", + "197 9", + "ĠLar ry", + "Ġre act", + "oun ced", + "ĠThe od", + "amp a", + "E P", + "ĠMer c", + "Ġcirc uit", + "ĠC atherine", + "Ġn av", + "ĠEth iop", + "Ġlast ed", + "ĠM ig", + "ifican ce", + "Ġstrong ly", + "Ġgen re", + "ĠBulg arian", + "h um", + "ĠA ber", + "Ġyoung est", + "Ġre un", + "ĠG olf", + "Ġto ols", + "s is", + "Ġ188 2", + "Ġincreasing ly", + "ĠW es", + "ĠVenezuel a", + "ĠSe b", + "Ġdra f", + "ĠH ad", + "Ġd ream", + "ĠB uch", + "Ġk g", + "m ath", + "il ty", + "Ġcon gress", + "ĠRepresent ative", + "Ġtrib e", + "ĠInd ividual", + "Ġcolle ct", + "p p", + "ĠM ason", + "ĠForm ula", + "Ġd iam", + "ĠHen ri", + "Ġcent ers", + "Ġmart ial", + "Ġhapp ened", + "Ġsh ares", + "Ġille gal", + "Ġrep utation", + "ĠF uture", + "% ,", + "ĠG w", + "Ġadop t", + "ĠVeg as", + "Ġext ens", + "Ġrow span", + "Ġtransport ation", + "Ġabs or", + "ich i", + "Ġplatform s", + "ĠStat istics", + "ĠHud son", + "Ġpred e", + "Ġ9 5", + "ĠS A", + "Ġre pro", + "a uc", + "enn ial", + "ocrat ic", + "Ġvis iting", + "Ġs oul", + "ol in", + "Ġn one", + "ug s", + "i u", + "Ġpan el", + "ĠS alt", + "ĠAm sterdam", + "Ġb es", + "c alled", + "ĠP aint", + "bu ild", + "ĠS ask", + "ĠGo ogle", + "Ġne ut", + "cer ts", + "ro t", + "ĠLeg acy", + "us k", + "ag re", + "ĠEnvironment al", + "ke ley", + "oc al", + "Ġpr on", + "Ġmin imum", + "ĠB rew", + "Ġinn ings", + "Ġw ine", + "Ġhtt ps", + "t ical", + "oun sel", + "Ġplay offs", + "Ġdecl ine", + "ĠBulg aria", + "ĠBr un", + "ick ets", + "ĠG ust", + "ĠUn like", + "Ġs we", + "Ġatt orney", + "grad uate", + "ĠAtt orney", + "ĠSte ven", + "Ġa cted", + "ĠOr ig", + "ent e", + "Ġt ests", + "ĠMar vel", + "ĠNor folk", + "Ġdist inguished", + "b ound", + "Ġbelong ing", + "c z", + "ĠOper ations", + "Ġd ig", + "Ġpre gn", + "ac le", + "\" ;", + "ĠL an", + "osp itals", + "ĠB og", + "Ġsat isf", + "ash a", + "Ġcont ested", + "Ġcan n", + "Ġsurg ery", + "Ġt as", + "m ates", + "ĠBel arus", + "Ġsettle ments", + "ph al", + "d d", + "Ġbe ar", + "ĠM ix", + "od s", + "iz er", + "ing en", + "ĠM ann", + "ĠVerm ont", + "ĠT erm", + "Ġro ut", + "Ġatt ributed", + "se cts", + "Ġpreserv ed", + "el i", + "Ġto w", + "b us", + "w inning", + "Ġpost ed", + "ĠM az", + "or o", + "ig rated", + "Ġsc ope", + "Ġstat ue", + "Ġem igrants", + "ĠC ann", + "Ġsub t", + "Ġagric ulture", + "ast s", + "ĠTreat y", + "! \"", + "Ġan ch", + "ĠHar old", + "Ġelev ation", + "ĠN umber", + "Ġmerch ant", + "L P", + "ĠCamp aign", + "Ġmain tenance", + "Ġd rew", + "Ġbene fit", + "Don ald", + "itar ian", + "Ġcancell ed", + "Ġphil os", + "Ġrul ing", + "ĠD iamond", + "en os", + "ĠH orse", + "L a", + "ĠG ot", + "it is", + "ĠCur t", + "Ġcontin uing", + "Ġg olf", + "Ġag ents", + "ĠLu x", + "b rid", + "ĠRob in", + "ograp hers", + "Ġf ix", + "Ġdom ain", + "Ġbe ach", + "ĠL ie", + "198 2", + "z es", + "Ġcou ples", + "Ġdis pl", + "Ġsee k", + "Ġsub d", + "ĠS P", + "ĠC P", + "Ġhon our", + "Ġthir ty", + "Ġsched ule", + "ang erous", + "Ġc inema", + "Ġspok en", + "iction ary", + "ĠH ob", + "Ġinc idents", + "at che", + "Ġ6 8", + "B B", + "Ġkey boards", + "Ġex pect", + "Ġven ue", + "Ġf ighter", + "Ġrecomm ended", + "ĠSh in", + "b es", + "Ġdraw ing", + "' ve", + "Ġpopul ations", + "ĠD ays", + "Ġval id", + "ĠB right", + "ĠP ic", + "ul ations", + "ĠN S", + "ĠDeath s", + "Ġconsider able", + "Ġ1 000", + "Ġtre ated", + "ij i", + "ĠBy z", + "Ġmeet ings", + "Ġrele ases", + "t r", + "Ġparticip ants", + "Ġspe ak", + "ĠAn im", + "f ire", + "ra v", + "ĠBuddh ist", + "ĠDel aware", + "ĠDen ver", + "end ar", + "Ġform ations", + "A s", + "ub le", + "o j", + "Ġmod e", + "ĠSpr ings", + "Ġunder ground", + "Ġ187 6", + "ĠCommun es", + "ĠMan uel", + "ĠBos nia", + "Ġlong est", + "ĠB uc", + "Ġcoach ing", + "ĠM S", + "ĠManag er", + "ĠKen ya", + "Ġp ric", + "ro ck", + "Ġ188 3", + "Ġat mosp", + "Ġwides pread", + "Ġ25 0", + "ops is", + "arc hers", + "Ġan ime", + "Ġsat ellite", + "Ġsomew hat", + "ĠHel en", + "ch ild", + "ĠEn cyclop", + "Ġplan et", + "c at", + "ĠDrag on", + "D C", + "Ġfrequ ency", + "ĠF un", + "Ġchang ing", + "ĠN HL", + "Ġcharacter istics", + "Ġbir d", + "Ġfl ed", + "M ay", + "ĠIn v", + "Ġsu fficient", + "ĠErn est", + "ĠSy ria", + "ke ep", + "Ġres olution", + "Ġsh ore", + "Ġfest ivals", + "ĠBob by", + "Ġchap el", + "ĠP oll", + "Ġrelationship s", + "198 1", + "am ics", + "ĠT on", + "id en", + "Ġmod er", + "ĠCo al", + "Ġten ure", + "Ġpremi ere", + "ĠS ak", + "Ġgro wn", + "st own", + "Ġoccas ionally", + "Ġearth qu", + "Ġbo ats", + "g el", + "ĠM end", + "Ġf urn", + "ĠEd wards", + "Ġbl ocks", + "Ġg ay", + "ĠAt hens", + "ĠIndones ian", + "ult ane", + "Ġrese archers", + "Ġph one", + "ac o", + "Ġar c", + "Ġdepart ure", + "Ġreported ly", + "Ġex pos", + "onym ous", + "ĠPer ry", + "ĠRog ers", + "Ġill ness", + "b in", + "Ġjob s", + "ĠWar ri", + "ĠFrid ay", + "Ġac know", + "gi ate", + "Ġf ile", + "Ġany thing", + "Ġ187 8", + "Ġch amber", + "ust ed", + "Ġsaf e", + "ter ior", + "ia st", + "Ġinaug ural", + "Ġsp oke", + "ĠAd vis", + "ĠHol land", + "Ġhigh light", + "Ġgovern ments", + ". '", + "Ġpat rol", + "b ow", + "ĠS or", + "Ġindic ates", + "Ġab road", + "ĠL ion", + "ĠMah ar", + "Ġprin ted", + "C an", + "h igh", + "b ird", + "ĠTe ch", + "ĠHispan ic", + "ĠH ope", + "ĠT oy", + "Ġviol in", + "ur ring", + "ĠD ennis", + "Ġremain der", + "Ġcontrovers ial", + "ĠI C", + "ĠNiger ian", + "ĠEconom y", + "ĠClin ton", + "ĠG ang", + "ĠS ay", + "Ġinters ection", + "ĠK rist", + "ĠN y", + "ancell or", + "op es", + "ĠPed ro", + "Ġsur f", + "ĠPers ian", + "duc er", + "Ġt act", + "Ġtem por", + "Ġh a", + "Ġere cted", + "Ġwh ilst", + "ip er", + "ĠN an", + "Ġbu y" + ] + } +} \ No newline at end of file diff --git a/train.py b/train.py index 09b9eb0a..a37eac01 100644 --- a/train.py +++ b/train.py @@ -82,7 +82,9 @@ def basic_main(cfg): @hydra.main(config_path="configs/train", config_name="baseline-10m") def main(cfg): world_size = torch.cuda.device_count() - + if len(cfg) == 1: + # TODO: this is a hot-fix for sub-folder configs. Fix later + cfg = cfg[list(cfg.keys())[0]] if "full_configs" in cfg: cfg = cfg["full_configs"] cfg["general"]["paths"]["data_dir"] = hydra.utils.to_absolute_path( diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index b4944c54..dcc7989f 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -128,7 +128,7 @@ def _setup_logging( f"Shell-{self.cfg.model.get('model_shell_type', None)}", f"Embebdding-{self.cfg.model.get('embedding_model_type', None)}", f"LM_Head-{self.cfg.model.get('lm_head_type', None)}", - f"Dataset-{self.cfg.model.get('dataset', None)}", + f"Dataset-{self.cfg.trainer.get('dataset', None)}", f"Vocab_size-{self.cfg.model.get('vocab_size', None)}", f"Parameters-{total_parameter_count_str.split('.')[0]}", f"TrainTokens-{train_token_count}", diff --git a/trainers/data_utils.py b/trainers/data_utils.py index bb4e48e3..4ce77b41 100644 --- a/trainers/data_utils.py +++ b/trainers/data_utils.py @@ -76,7 +76,8 @@ "natural_instructions": lambda: load_general_dataset( dataset_name="Muennighoff/natural-instructions", lambda_fn=lambda x: {"text": f"Task: Definition: {x['definition']}\nQuestion: {x['inputs']}\nAnswer: {x['targets']}"} - ) + ), + "fineweb_edu_100B": lambda: load_dataset("HuggingFaceFW/fineweb-edu", "sample-100BT") } From 40e3db2c783a619aab78bdd735ba0539ec4b03f0 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Wed, 18 Sep 2024 11:35:58 +0800 Subject: [PATCH 189/209] temporarily removed tokenizers --- .../bpe_en_wiki_12000_simplified.model | 23994 --------- .../bpe_en_wiki_1300_simplified.model | 2594 - .../bpe_en_wiki_15625_simplified.model | 31244 ------------ .../bpe_en_wiki_1950_simplified.model | 3894 -- .../bpe_en_wiki_20000_simplified.model | 39994 ---------------- .../bpe_en_wiki_2600_simplified.model | 5194 -- .../bpe_en_wiki_3900_simplified.model | 7794 --- .../bpe_en_wiki_4000_simplified.model | 7984 --- .../bpe_en_wiki_5000_simplified.model | 9994 ---- .../bpe_en_wiki_5900_simplified.model | 11794 ----- .../bpe_en_wiki_7800_simplified.model | 15594 ------ .../bpe_en_wiki_980_simplified.model | 1954 - .../bpe_en_wiki_9900_simplified.model | 19794 -------- 13 files changed, 181822 deletions(-) delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_12000_simplified.model delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_1300_simplified.model delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_15625_simplified.model delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_1950_simplified.model delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_20000_simplified.model delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_2600_simplified.model delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_3900_simplified.model delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_4000_simplified.model delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_5000_simplified.model delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_5900_simplified.model delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_7800_simplified.model delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_980_simplified.model delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_9900_simplified.model diff --git a/models/components/layers/tokenizer_models/bpe_en_wiki_12000_simplified.model b/models/components/layers/tokenizer_models/bpe_en_wiki_12000_simplified.model deleted file mode 100644 index d60a2ec7..00000000 --- a/models/components/layers/tokenizer_models/bpe_en_wiki_12000_simplified.model +++ /dev/null @@ -1,23994 +0,0 @@ -{ - "version": "1.0", - "truncation": null, - "padding": null, - "added_tokens": [ - { - "id": 0, - "content": "[PAD]", - "single_word": false, - "lstrip": false, - "rstrip": false, - "normalized": false, - "special": true - }, - { - "id": 1, - "content": "[EOT]", - "single_word": false, - "lstrip": false, - "rstrip": false, - "normalized": false, - "special": true - }, - { - "id": 2, - "content": "[UNK]", - "single_word": false, - "lstrip": false, - "rstrip": false, - "normalized": false, - "special": true - } - ], - "normalizer": { - "type": "Sequence", - "normalizers": [ - { - "type": "NFD" - }, - { - "type": "StripAccents" - }, - { - "type": "Replace", - "pattern": { - "String": "[^a-zA-Z0-9\\s!\"\\#\\$%\\&'\\(\\)\\*\\+,\\-\\./:;<=>\\?@\\[\\\\\\]\\^_`\\{\\|\\}\\~]" - }, - "content": "" - } - ] - }, - "pre_tokenizer": { - "type": "Sequence", - "pretokenizers": [ - { - "type": "WhitespaceSplit" - }, - { - "type": "Split", - "pattern": { - "String": "\\d" - }, - "behavior": "Isolated", - "invert": false - }, - { - "type": "ByteLevel", - "add_prefix_space": true, - "trim_offsets": true, - "use_regex": true - } - ] - }, - "post_processor": null, - "decoder": { - "type": "ByteLevel", - "add_prefix_space": true, - "trim_offsets": true, - "use_regex": true - }, - "model": { - "type": "BPE", - "dropout": 0.1, - "unk_token": "[UNK]", - "continuing_subword_prefix": null, - "end_of_word_suffix": null, - "fuse_unk": false, - "byte_fallback": false, - "ignore_merges": false, - "vocab": { - "[PAD]": 0, - "[EOT]": 1, - "[UNK]": 2, - "\t": 3, - "\n": 4, - " ": 5, - "!": 6, - "\"": 7, - "#": 8, - "$": 9, - "%": 10, - "&": 11, - "'": 12, - "(": 13, - ")": 14, - "*": 15, - "+": 16, - ",": 17, - "-": 18, - ".": 19, - "/": 20, - "0": 21, - "1": 22, - "2": 23, - "3": 24, - "4": 25, - "5": 26, - "6": 27, - "7": 28, - "8": 29, - "9": 30, - ":": 31, - ";": 32, - "<": 33, - "=": 34, - ">": 35, - "?": 36, - "@": 37, - "A": 38, - "B": 39, - "C": 40, - "D": 41, - "E": 42, - "F": 43, - "G": 44, - "H": 45, - "I": 46, - "J": 47, - "K": 48, - "L": 49, - "M": 50, - "N": 51, - "O": 52, - "P": 53, - "Q": 54, - "R": 55, - "S": 56, - "T": 57, - "U": 58, - "V": 59, - "W": 60, - "X": 61, - "Y": 62, - "Z": 63, - "[": 64, - "\\": 65, - "]": 66, - "^": 67, - "_": 68, - "`": 69, - "a": 70, - "b": 71, - "c": 72, - "d": 73, - "e": 74, - "f": 75, - "g": 76, - "h": 77, - "i": 78, - "j": 79, - "k": 80, - "l": 81, - "m": 82, - "n": 83, - "o": 84, - "p": 85, - "q": 86, - "r": 87, - "s": 88, - "t": 89, - "u": 90, - "v": 91, - "w": 92, - "x": 93, - "y": 94, - "z": 95, - "{": 96, - "|": 97, - "}": 98, - "~": 99, - "Ġ": 100, - "Ġt": 101, - "he": 102, - "in": 103, - "Ġa": 104, - "er": 105, - "on": 106, - "Ġthe": 107, - "re": 108, - "an": 109, - "or": 110, - "en": 111, - "at": 112, - "ed": 113, - "Ġo": 114, - "st": 115, - "al": 116, - "Ġw": 117, - "ar": 118, - "it": 119, - "Ġof": 120, - "nd": 121, - "Ġin": 122, - "Ġs": 123, - "Ġf": 124, - "es": 125, - "Ġc": 126, - "is": 127, - "Ġb": 128, - "ic": 129, - "Ġp": 130, - "ing": 131, - "Ġand": 132, - "as": 133, - "ion": 134, - "ĠS": 135, - "ro": 136, - "le": 137, - "ĠC": 138, - "ĠA": 139, - "ĠT": 140, - "Ġto": 141, - "Ġm": 142, - "Ġd": 143, - "Ġ1": 144, - "ou": 145, - "il": 146, - "ĠM": 147, - "ent": 148, - "Ġh": 149, - "am": 150, - "om": 151, - "ol": 152, - "ĠB": 153, - "el": 154, - "ĠP": 155, - "Ġre": 156, - "Ġ(": 157, - "ĠR": 158, - "ct": 159, - "Ġ2": 160, - "ĠI": 161, - "Ġl": 162, - "ĠH": 163, - "ad": 164, - "ur": 165, - "et": 166, - "ch": 167, - "iv": 168, - "ers": 169, - "Ġwas": 170, - "ĠThe": 171, - "ation": 172, - "ĠD": 173, - "ĠL": 174, - "Ġn": 175, - "Ġe": 176, - "ig": 177, - "ĠF": 178, - "Ġ19": 179, - "ir": 180, - "id": 181, - "ot": 182, - "Ġth": 183, - "ce": 184, - "us": 185, - "Ġfor": 186, - "ay": 187, - "Ġon": 188, - "ly": 189, - "ĠG": 190, - "im": 191, - "ist": 192, - "ĠN": 193, - "Ġ20": 194, - "ĠE": 195, - "ut": 196, - "ĠW": 197, - "ra": 198, - "Ġg": 199, - "Ġis": 200, - "Ġas": 201, - "em": 202, - "ow": 203, - "un": 204, - "th": 205, - "ith": 206, - "ĠJ": 207, - "Ġbe": 208, - "Ġst": 209, - "and": 210, - "her": 211, - "ter": 212, - "ul": 213, - "Ġwith": 214, - "Ġby": 215, - "ag": 216, - "ĠO": 217, - "Ġal": 218, - "um": 219, - "os": 220, - "rom": 221, - "'s": 222, - "op": 223, - "ac": 224, - "Ġat": 225, - "ver": 226, - "ri": 227, - "ĠK": 228, - "Ġwh": 229, - "Ġan": 230, - "oc": 231, - "Ġ|": 232, - "Ġde": 233, - "ian": 234, - "ĠIn": 235, - "Ġfrom": 236, - "Ġcon": 237, - "ĠU": 238, - "Ġhe": 239, - "Ġ\"": 240, - "ia": 241, - "Ġv": 242, - "ain": 243, - "ber": 244, - "all": 245, - "Ġthat": 246, - "ity": 247, - "res": 248, - "od": 249, - "ies": 250, - "est": 251, - "art": 252, - "av": 253, - "Ġcom": 254, - "ab": 255, - "ate": 256, - "if": 257, - "ill": 258, - "Ġpro": 259, - "ĠSt": 260, - "up": 261, - "Ġse": 262, - "ort": 263, - "ew": 264, - "ard": 265, - "ud": 266, - "ĠRe": 267, - "pe": 268, - "Ġpl": 269, - "ces": 270, - "ub": 271, - "Ġit": 272, - "ak": 273, - "igh": 274, - "ip": 275, - "ĠCh": 276, - "Ġ201": 277, - "Ġhis": 278, - "se": 279, - 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"ĠParks": 10280, - "released": 10281, - "....": 10282, - "elect": 10283, - "ĠMol": 10284, - "Ġviewers": 10285, - "ĠSusan": 10286, - "encing": 10287, - "ĠEddie": 10288, - "ĠLeo": 10289, - "ĠHamburg": 10290, - "Ġstyles": 10291, - "ĠAbu": 10292, - "Ġrecommend": 10293, - "Ġadults": 10294, - "Ġsignificance": 10295, - "Ġconst": 10296, - "minute": 10297, - "1945": 10298, - "Ġwat": 10299, - "Ġsigns": 10300, - "eway": 10301, - "ĠFriends": 10302, - "Ġthing": 10303, - "ĠGilbert": 10304, - "ĠUntil": 10305, - "ĠIndependence": 10306, - "Ġconvention": 10307, - "ĠNA": 10308, - "iao": 10309, - "Ġdual": 10310, - "ĠHebrew": 10311, - "Ġspending": 10312, - "rington": 10313, - "Ġ82": 10314, - "Ġinsurance": 10315, - "ĠSecondary": 10316, - "Ġunusual": 10317, - "pany": 10318, - "Ġencouraged": 10319, - "yler": 10320, - "ĠRaymond": 10321, - "Ġwants": 10322, - "onomous": 10323, - "ĠWilhelm": 10324, - "IL": 10325, - "berry": 10326, - "ffield": 10327, - "Ġgradually": 10328, - "Ġ71": 10329, - "Ġidentify": 10330, - "ĠSerie": 10331, - 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"ĠWarsaw": 10436, - ".),": 10437, - "waukee": 10438, - "Ġassets": 10439, - "Ġeveryone": 10440, - "Ġpy": 10441, - "Ġclan": 10442, - "Ġintegrated": 10443, - "Ġamongst": 10444, - "case": 10445, - "Ġcivilian": 10446, - "rates": 10447, - "ĠMuch": 10448, - "Ġacoustic": 10449, - "Ġguilty": 10450, - "game": 10451, - "ĠActor": 10452, - "Ġspin": 10453, - "Ġphotographs": 10454, - "ĠFemale": 10455, - "Pl": 10456, - "ĠLebanon": 10457, - "ĠKazakh": 10458, - "Ġpossession": 10459, - "PR": 10460, - "Ġviewed": 10461, - "Ġceased": 10462, - "agement": 10463, - "Ġcable": 10464, - "Ġnoble": 10465, - "Ġexception": 10466, - "Ġprohib": 10467, - "ĠLeonard": 10468, - "Ġwet": 10469, - "Ġstable": 10470, - "lift": 10471, - "iscopal": 10472, - "kw": 10473, - "Ġclar": 10474, - "overe": 10475, - "This": 10476, - "Ġbelonged": 10477, - "arrier": 10478, - "Ġrunners": 10479, - "uber": 10480, - "ovan": 10481, - "rators": 10482, - "Ġpatron": 10483, - "ĠMut": 10484, - "ĠPaulo": 10485, - "arged": 10486, - "Ġsubsidiary": 10487, - "Ġhonorary": 10488, - "Ġrac": 10489, - "rehensive": 10490, - "Ġhat": 10491, - "Ġfrequent": 10492, - "ching": 10493, - "Ġconj": 10494, - "Ġpartially": 10495, - "ĠEcuador": 10496, - "uba": 10497, - "ĠAchie": 10498, - "Ġswit": 10499, - "ĠTed": 10500, - "ĠFriedrich": 10501, - "ĠTong": 10502, - "Ġborders": 10503, - "ĠMik": 10504, - "ĠRegular": 10505, - "Ġlegs": 10506, - "Ġfarmers": 10507, - "Ġsubstitute": 10508, - "ĠEconomics": 10509, - "Ġeasy": 10510, - "asant": 10511, - "ĠSuch": 10512, - "Ġextent": 10513, - "ĠCork": 10514, - "ĠArc": 10515, - "ĠBaronet": 10516, - "forming": 10517, - "Ġpul": 10518, - "Ġborough": 10519, - "ĠMust": 10520, - "rs": 10521, - "ĠNak": 10522, - "ĠDol": 10523, - "andom": 10524, - "oded": 10525, - "apse": 10526, - "ĠConfederate": 10527, - "anced": 10528, - "ĠEsc": 10529, - "ĠAnnual": 10530, - "ĠTaxonomy": 10531, - "Ġearning": 10532, - "Ġcustomers": 10533, - "Ġuseful": 10534, - "minster": 10535, - "ĠFig": 10536, - "Ġmovies": 10537, - "Ġtraded": 10538, - "ĠHaving": 10539, - 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"El": 10591, - "strong": 10592, - "ĠBent": 10593, - "Ġpicked": 10594, - "rams": 10595, - "ĠProvincial": 10596, - "Ġsecured": 10597, - "Ġdismissed": 10598, - "Ġconservative": 10599, - "Ġ81": 10600, - "Ġsongwriter": 10601, - "Ġoccasion": 10602, - "Ġsponsored": 10603, - "ovich": 10604, - "arta": 10605, - "ĠGaz": 10606, - "ĠSyrian": 10607, - "ector": 10608, - "Ġtort": 10609, - "Ġcemetery": 10610, - "ĠPrison": 10611, - "Ġapparently": 10612, - "Ġtoured": 10613, - "orton": 10614, - "Ġportrait": 10615, - "venge": 10616, - "ĠProtestant": 10617, - "ĠMul": 10618, - "eri": 10619, - "ĠNC": 10620, - "ĠMusicians": 10621, - "ullivan": 10622, - "ĠImm": 10623, - "ĠBond": 10624, - "ĠPhillips": 10625, - "Ġeldest": 10626, - "ĠJur": 10627, - "rn": 10628, - "haus": 10629, - "ĠInitially": 10630, - "ĠVenice": 10631, - "ĠLeader": 10632, - "Ġstruggle": 10633, - "Ġmatters": 10634, - "ulus": 10635, - "aa": 10636, - "ĠMoz": 10637, - "rys": 10638, - "ĠAdditional": 10639, - "ĠSingle": 10640, - "ĠSony": 10641, - "Ġweekend": 10642, - "Jan": 10643, - "alg": 10644, - "ĠCoach": 10645, - "Ġprinciples": 10646, - "ĠStudents": 10647, - "Ġcompleting": 10648, - "Ġbattalion": 10649, - "Ġjunction": 10650, - "ĠLamb": 10651, - "offic": 10652, - "ĠRange": 10653, - "ĠGuardian": 10654, - "Ġsubstantial": 10655, - "ĠFormation": 10656, - "Ġbeautiful": 10657, - "team": 10658, - "Ġdrummer": 10659, - "Ġasc": 10660, - "ĠSyl": 10661, - "ĠHarvey": 10662, - "ĠStudent": 10663, - "Ġmineral": 10664, - "aca": 10665, - "ĠWallace": 10666, - "ovsky": 10667, - "Ġtrend": 10668, - "Ġengineers": 10669, - "apped": 10670, - "Ġcargo": 10671, - "dal": 10672, - "issa": 10673, - "ĠEC": 10674, - "Ġdrafted": 10675, - "Ġoperator": 10676, - "ĠLegend": 10677, - "Ġpure": 10678, - "Ġinitiative": 10679, - "ĠOg": 10680, - "Ġsympt": 10681, - "insky": 10682, - "ĠCommercial": 10683, - "uations": 10684, - "Ġhope": 10685, - "Ġgrey": 10686, - "Ġready": 10687, - "unda": 10688, - "ĠIntelligence": 10689, - "eras": 10690, - "ifier": 10691, - "ĠCardinals": 10692, - "Ġdiscussed": 10693, - 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"Ġt wo", - "o y", - "Ġin clud", - "a ct", - "as ed", - "Ġd es", - "Ġbe c", - "i o", - "ch ool", - "on s", - "Ġh ave", - "w e", - "i ed", - "Ġ -", - "Ġ en", - "ct ed", - "o b", - "Ġth is", - "er n", - "v el", - "Ġal l", - "on e", - "ing s", - "Ġ 5", - "a il", - "Ġf ilm", - "ur n", - "as e", - "Ġcom m", - "ar k", - "Ġbe en", - "in d", - "is ion", - "Ġ19 7", - "g h", - "ou th", - "Ġo ther", - "ic s", - "t ed", - "Ġa fter", - "Ġd is", - "ur y", - "ĠS h", - "u ch", - "Ġ im", - "el y", - "g an", - "r al", - "is hed", - "f t", - "e ct", - "Ġof f", - "re n", - "a h", - "ivers ity", - "re d", - "o h", - "ab le", - "Ġs p", - "os e", - "an ce", - "Ġl in", - "Ġs erv", - "Ġo ut", - "Ġ up", - "Ġp eople", - "on t", - "or ld", - "o od", - "Ġ ra", - "Ġs he", - "Ġo ver", - "pe c", - "c ent", - "Ġn e", - "ion s", - "ri b", - "Ġ19 6", - "am es", - "ĠP ro", - "ĠO n", - "w ay", - "Ġe v", - "Ġn ew", - "t on", - "as on", - "al e", - "Ġ und", - "ol og", - "Ġ 6", - "ĠUn ited", - "r am", - "Ġl oc", - "Ġe le", - "oot ball", - "ĠI nd", - "d u", - "Ġthe y", - "Ġw ork", - "ist s", - "an s", - "ol le", - "e b", - "Ġint o", - "c he", - "Ġt ra", - "ces s", - "Ġ Z", - "Ġp re", - "Ġg ro", - "or th", - "ĠUn iversity", - "er al", - "ou gh", - "Ġa ct", - "Ġat t", - "c k", - "tern al", - "e p", - "ic t", - "ak e", - "Ġse c", - "ĠA n", - "Ġt ime", - "Ġb u", - "a z", - "i k", - "Ġc an", - "il y", - "ran s", - "Ġund er", - "ĠC l", - "ro ugh", - "i el", - "i x", - "ic k", - "v i", - "Ġp ol", - "d uc", - "p r", - "ĠS c", - "ĠE ng", - "in ce", - "v e", - "ou n", - "if e", - "Ġte am", - "Ġlin ks", - "Ġplay ers", - "al s", - "oc i", - "r ad", - "Ġre g", - "Ġp ubl", - "ot h", - "Ġ19 4", - "Ġk n", - "id ent", - "ĠEx ternal", - "sh ip", - "for m", - "Ġh im", - "Ġb et", - "at t", - "Ġas s", - "ĠS he", - "in n", - "at ive", - "Ġ 7", - "i er", - "a j", - "1 8", - "ou se", - "in s", - "em b", - "Ġp r", - "it ies", - "us e", - "oll ow", - "in a", - "Ġ19 5", - "Ġw ould", - "Ġc o", - "an n", - "ĠT e", - "o ber", - "Ġe st", - "Ġwhe n", - "us ic", - "Ġag ain", - "l l", - "Ġc ent", - "Ġo p", - "Ġyear s", - "we en", - "er ies", - "c ed", - "Ġcon s", - "ro und", - "res ent", - "over n", - "at ing", - "Ġwhe re", - "Ġd uring", - "Ġre t", - "Ġm ore", - "Ġin d", - "ab l", - "Ġ1 7", - "Ġb o", - "iv ing", - "ra ph", - "ar ly", - "b um", - "d er", - "ĠJ oh", - "Ġs ub", - "a ir", - "Ġst ud", - "an y", - "Ġfor m", - "Ġs up", - "Ġ20 2", - "Ġg en", - "ĠTh is", - "Ġm e", - "ĠP l", - "Ġ qu", - "ĠC ount", - "ĠSt ates", - "Ġf ootball", - "Ġf ound", - "Ġ 8", - "ion al", - "oc k", - "ar l", - "Ġre le", - "Ġf l", - "c c", - "Ġs pec", - "en n", - "as h", - "Ġon ly", - "Ġbet ween", - "i am", - "ag ue", - "Ġf am", - "Ġb ir", - "Ġre l", - "re at", - "ĠF or", - "Ġse ason", - "p ro", - "Ġ Q", - "e at", - "ist ric", - "ĠA t", - "op ul", - "Ġs y", - "ĠN ational", - "ĠW ar", - "Ġ ed", - "ist ory", - "Ġar t", - "if ic", - "ĠS p", - "s on", - "ĠCom m", - "er man", - "ĠI s", - "Ġab out", - "ĠA ust", - "Ġth ree", - "ĠJoh n", - "\" .", - "Ġin ter", - "Ġm ost", - "ct or", - "f ore", - "ĠW orld", - "le y", - "ĠF ran", - "ĠP h", - "th s", - "ĠC on", - "Ġre m", - "Ġf ollow", - "Ġ 9", - "Ġm ade", - "Ġal bum", - "Ġl ater", - "Ġs ing", - "Ġth rough", - "iel d", - "in ist", - "un e", - "om en", - "Ġ end", - "Ġ1 0", - "iv er", - "iv ed", - "ĠB e", - "ers on", - "r on", - "Ġsec ond", - "Ġthe m", - "ro s", - "ĠB rit", - "ĠB l", - "og raph", - "Ġw rit", - "ĠM ay", - "an k", - "us s", - "Ġn um", - "Ġm ov", - "Ġthe re", - "Ġ19 3", - "Ġthe n", - "Ġd ire", - "m p", - "ĠC an", - "Ġde f", - "Ġus ed", - ". \"", - "ĠJ an", - "er m", - "ow er", - "es e", - "vel op", - "u res", - "he n", - "Ġrec ord", - "ar g", - "Ġin v", - "em ent", - "istric t", - "Ġt rans", - "os s", - "t en", - "Ġs o", - "er t", - "Ġm ed", - "e e", - "ar i", - "Ġ1 6", - "ar s", - "Ġs chool", - "Ġkn own", - "Ġs et", - "a i", - "ĠCount y", - "ĠA d", - "y s", - "\" ,", - "Ġ ent", - "Ġbec ame", - "2 00", - "Ġs uch", - "st it", - "Ġest abl", - "ĠO r", - "Ġ1 5", - "Ġa m", - "is m", - "ĠS outh", - "ĠG e", - "Ġpro v", - "c y", - "ur al", - "it s", - "Ġp h", - "Ġin c", - "ment s", - "Ġth an", - "ĠS chool", - "amp ion", - "tern ational", - "u ro", - "ĠG erman", - "ĠM e", - "a x", - "is e", - "Ġf our", - "p os", - "Ġ &", - "ĠN ov", - "Ġs eries", - "ĠJ u", - "Ġbe ing", - "Ġs ome", - "ur ch", - "Ġle ad", - "Ġ| -", - "Ġb l", - "Ġp opul", - "Ġ .", - "e ver", - "ĠW est", - "ut e", - "Ġc all", - "Ġs ong", - "ay s", - "Ġinclud ing", - "ot her", - "j ect", - "le t", - "et h", - "Ġgro up", - "Ġagain st", - "a e", - "Ġw ell", - "are er", - "Ġd o", - "i ke", - "Ġap pe", - "ĠP ol", - "ĠA fter", - "b orn", - "Ġde ath", - "ug ust", - "Ġac c", - "ar ri", - "Ġc ount", - "t y", - "Ġc re", - "ction s", - "ian s", - "ĠP r", - "u ary", - "ĠW h", - "am ed", - "pt ember", - "ĠAust ral", - "v en", - "st em", - "at her", - "t il", - "ĠY ork", - "ar n", - "ire d", - "ul l", - "b y", - "m y", - "er ed", - "r id", - "ver y", - "ut ion", - "e y", - "ĠA ugust", - "Ġbe fore", - "ĠBrit ish", - "Ġre ce", - "= \"", - "ĠO ct", - "el s", - "Ġ1 2", - "Ġad d", - "Ġwh ile", - "r ist", - "Ġs ur", - "ĠSe ptember", - "Ġs ign", - "Ġpol it", - "iv es", - "ĠMar ch", - "overn ment", - "00 0", - "Ġb ro", - "Ġde c", - "Ġsh ow", - "ĠC ent", - "a id", - "Ġoff ic", - "Ġbu ild", - "Ġde velop", - "Ġo per", - "ĠOct ober", - "olog y", - "Ġg o", - "el f", - "Ġfam ily", - "Ġun til", - "Ġc ap", - "le v", - "ĠM an", - "x t", - "Ġm usic", - "Ġm ay", - "pr il", - "iz ed", - "ow ever", - "ĠJ une", - "a u", - "r and", - "Ġo wn", - "f ess", - "Ġn o", - "Ġre p", - "ĠJan uary", - "ic a", - "Ġor ig", - "er y", - "Ġm ain", - "m ber", - "Ġm od", - "Ġh igh", - "ĠAs s", - "ĠJu ly", - "en g", - "ĠAl l", - "Ġbir ths", - "emb ers", - "ĠC ar", - "1 0", - "l ish", - "ist or", - "Ġch ar", - "Ġb oth", - "ĠN orth", - "Ġplay ed", - "olle ge", - "Ġm on", - "Ġman y", - "Ġnum ber", - "ot t", - "et s", - "ĠC o", - "ĠLe ague", - "Ġex p", - "om an", - "Ġn ame", - "ut h", - "ampion ship", - "ĠA pril", - "cent ury", - "ward s", - "Ġb ack", - "Ġ19 2", - "ant s", - "v ed", - "i ent", - "ĠCan ad", - "ĠE uro", - "it t", - "ĠSe e", - "Ġrele ased", - "ce mber", - "Ġe m", - "st ru", - "ĠG u", - "ain ed", - "ĠB o", - "en e", - "i or", - "p le", - "Ġg u", - "g ram", - "1 7", - "ĠE d", - "is c", - "Ġfor mer", - "ĠC ol", - "ĠNov ember", - "it al", - "Ġse ver", - "iss ion", - "ĠA m", - "ĠEng lish", - "Ġan n", - "Ġw on", - "i um", - "in es", - "e c", - "he s", - "port s", - "Ġdes ign", - "p or", - "ic ip", - "ce pt", - "ĠRe g", - "ĠW ill", - "ĠDe cember", - "Ġm at", - "ĠC ity", - "Ġ1 4", - "ra ct", - "ĠF l", - "aj or", - "Ġdes c", - "y l", - "ros s", - "Ġ1 3", - "Ġl ife", - "Ġare a", - "im es", - "ir d", - "Ġst art", - "ĠC al", - "ĠA f", - "Ġor gan", - "r is", - "duc ed", - "Ġop en", - "Ġf eat", - "are d", - "ĠSt ate", - "re t", - "f l", - "Ġg ame", - "ag es", - "Ġd if", - "v ent", - "res ident", - "Ġr un", - "k et", - "u es", - "Ġfilm s", - "l ed", - "ro p", - "Ġpro du", - "p art", - "Ġ1 1", - "ar m", - "et y", - "Ġm en", - "Ġ201 0", - "Ġcl ass", - "ograph y", - "Ġ2 1", - "y le", - "Ġex t", - "ap an", - "il t", - "eb ru", - "Ġs m", - "lev ision", - "ebru ary", - "Ġpubl ic", - "un g", - "ĠK ing", - "ĠI I", - "Ġst ate", - "Ġsy stem", - "ĠP ar", - "Ġl ong", - "Ġo b", - "ual ly", - "Ġd r", - "ar ch", - "ĠB ro", - "f ul", - "Ġf inal", - "Ġc areer", - "il it", - "n er", - "ĠH is", - "Ġs ame", - "ul ar", - "an c", - "a use", - "Ġcall ed", - "am b", - "vi ew", - "Ġfollow ing", - "ĠF ebruary", - "in c", - "z e", - "ov e", - "y n", - "Ġret urn", - "Ġf in", - "on y", - "Ġc ity", - "Ġw ill", - "iv ision", - "ĠEuro pe", - "ĠS w", - "a f", - "h ip", - "Ġch ild", - "r at", - "al es", - "ak ing", - "Ġsever al", - "Ġcomm un", - "ren ch", - "il ity", - "Ġw omen", - "re nt", - "oin t", - "ĠM ed", - "or ks", - "ĠJ apan", - "s p", - "an ge", - "ch n", - "ial ly", - "c om", - "c on", - "ure d", - "Ġl ist", - "Ġs uc", - "ĠGe or", - "p ed", - "Ġe arly", - "Ġa ir", - "ĠB ar", - "Ġcont in", - "Ġ '", - "Ġto wn", - "Ġcomp et", - "Ġcl ub", - "ĠE l", - "Ġm in", - "Ġres ult", - "h am", - "ib le", - "1 2", - "ĠA nd", - "ĠH ar", - "ĠH istory", - "is ed", - "al ly", - "Ġs ince", - "ic es", - "ain s", - "st er", - "19 9", - "ĠThe y", - "ĠP art", - "b o", - "r ing", - "Ġn ear", - "ang u", - "Ġn amed", - "Ġorig inal", - "end ed", - "u ed", - "ĠCh rist", - "at a", - "Ġhe ad", - "ĠA b", - "1 6", - "Ġb el", - "Ġdis c", - "Ġpl ace", - "ĠF rench", - "id ed", - "i ence", - "Ġ201 1", - "ĠRe p", - "Ġc ur", - "Ġbe gan", - "il le", - "Ġt it", - "Ġus e", - "iv al", - "an e", - "re en", - "Ġpro gram", - "ĠU S", - "Ġv ill", - "Ġm ember", - "Ġm embers", - "1 5", - "Ġp rom", - "Ġhe ld", - "Ġan y", - "Ġl and", - "ĠCom p", - "Ġb ased", - "ain t", - "ĠR es", - "ĠM c", - "Ġthe se", - "Ġcomp le", - "b le", - "Ġap p", - "m e", - "Ġsup port", - "oun c", - "ĠAf ric", - "al ity", - "Ġg overnment", - "r ight", - "Ġ200 8", - "ĠR uss", - "Ġm et", - "Ġ201 2", - "Ġw e", - "ĠR o", - "a ugh", - "Ġ19 0", - "ĠA ir", - "Ġestabl ished", - "i ous", - "Ġal ong", - "Ġe ff", - "t he", - "Ġ ,", - "ĠE ast", - "ĠCh ampionship", - "Ġdesc rib", - "T he", - "in ess", - "Ġen g", - "ition s", - "ĠC ollege", - "Ġp ass", - "ĠWill iam", - "ĠG en", - "an a", - "od e", - ". .", - "Ġd ist", - "pe ct", - "al th", - "ad em", - "Ġ200 9", - "Ġloc ated", - "ur g", - "u k", - "ĠThe re", - "at or", - "ical ly", - "ĠH er", - "or m", - "ac ed", - "Ġd id", - "Ġl aw", - "in o", - "Ġc ol", - "Ġo cc", - "Ġchar act", - "che s", - "f ord", - "ĠAr t", - "c ol", - "at s", - "i en", - "ubl ic", - "ĠP eople", - "Ġp os", - "Ġy ou", - "Ġ201 3", - "ond on", - "ĠN e", - "oci ation", - "ĠIt al", - "Ġ200 6", - "Ġ200 7", - "Ġh ouse", - "Ġe ach", - "t o", - "ĠH igh", - "ing ton", - "ore d", - "Ġ201 4", - "ro w", - "Ġ201 6", - "Ġserv ed", - "our t", - "ĠF ilm", - "Ġto ok", - "qu e", - "Ġs im", - "k y", - "Ġ X", - "1 4", - "ĠRe c", - "Ġb and", - "Ġt r", - "Ġst ation", - "Ġh ome", - "ĠD istrict", - "Ġb us", - "av ing", - "ĠS y", - "ĠIn ternational", - "Ġb orn", - "Ġg ames", - "Ġn ational", - "m ed", - "ly mp", - "i et", - "ĠA c", - "Ġin st", - "Ġ201 5", - "re w", - "er g", - "Ġpro fess", - "in ed", - "Ġ201 8", - "ight s", - "p s", - "Ġcomp any", - "Ġl ine", - "Ġp erson", - "1 3", - "ĠO lymp", - "Ġpopul ation", - "Ġm ajor", - "Ġ18 9", - "ac es", - "our n", - "Ġ20 20", - "ĠD av", - "ill ion", - "ĠL iving", - "ĠL ondon", - "Ġ201 7", - "ĠSe c", - "Ġs l", - "Ġb as", - "Ġj oin", - "Ġsm all", - "Ġle g", - "Ġloc al", - "ĠInd ian", - "ĠL a", - "ard s", - "Ġv ari", - "Ġrece ived", - "Ġde b", - "Ġev ent", - "Ġ2 5", - "Ġgen eral", - "Ġman ag", - "Ġpubl ished", - "Ġte levision", - "ĠC up", - "et t", - "Ġcent ury", - "ĠN ot", - "ilit ary", - "s ide", - "et er", - "Ġ3 0", - "at ure", - "Ġ201 9", - "Ġsing le", - "Ġbu ilt", - "ĠS up", - "Ġv i", - "ĠPh il", - "a ul", - "Ġd ue", - "Ġc ould", - "Ġv ers", - "ĠH owever", - "Ġ $", - "Ġap pro", - "ar ge", - "Ġw orld", - "Ġspec ies", - "ar a", - "Ġc olle", - "um n", - "Ġsuc cess", - "ie f", - "ounc il", - "Ġp o", - "v ers", - "Ġst r", - "in t", - "Ġa round", - "ord ing", - "if ied", - "ĠA ng", - "uth or", - "id es", - "at ely", - "om in", - "ĠG l", - "Ġo ld", - "Ġed uc", - "ĠT r", - "arri ed", - "ĠL ist", - "ĠN o", - "Ġt erm", - "is on", - "ro l", - "ĠC or", - "um mer", - "Ġa ge", - "ff ic", - "l ing", - "ĠT ra", - "ĠH ouse", - "Ġhe l", - "Ġal ign", - "Ġe p", - "ord s", - "e f", - "oc ial", - "ĠP ark", - "r ation", - "Ġp resent", - "ĠP re", - "Ġle ft", - "Ġl ast", - "Ġs ix", - "ĠE n", - "Ġh istory", - "Ġn ow", - "i od", - "a im", - "Ġs aid", - "ĠS an", - "Ġt y", - "Ġ200 0", - "Ġrep resent", - "re et", - "a us", - "id d", - "ra ft", - "t t", - "Ġd ied", - "Ġplay er", - "op h", - "Ġ 0", - "Ġre st", - "1 1", - "Ġc amp", - "iz ation", - "ĠD uring", - "Ġc ar", - "Ġl a", - "um b", - "angu age", - "Ġto p", - "ne y", - "Ġp ar", - "ĠB r", - "on es", - "Ġvill age", - "Ġwith in", - "ĠM ich", - "Ġd et", - "iv en", - "Ġst yle", - "Ġf ive", - "Ġ200 5", - "Ġt ri", - "Ġn orth", - "Ġsh ort", - "Ġ2 4", - "v an", - "ĠR oy", - "Ġor der", - "ide o", - "Ġ18 8", - "Ġd ay", - "in k", - "ĠD es", - "o ks", - "et her", - "u f", - "Ġdescrib ed", - "ak es", - "s c", - "ow s", - "ur ther", - "19 8", - "ent ly", - "Ġth ird", - "Ġbuild ing", - "al k", - "Ġinclud e", - "ĠR iver", - "Ġinclud ed", - "Ġp ost", - "um ent", - "Ġd own", - "ast er", - "if orn", - "ĠP er", - "Ġdif fer", - "d ay", - "he m", - "ĠA g", - "Ġchild ren", - "Ġre port", - "ur s", - "ĠEng land", - "c o", - "ĠCh ar", - "Ġ202 1", - "att le", - "Ġre f", - "vi ous", - "Ġre qu", - "ĠS ch", - "ĠA ct", - "n a", - "er a", - "feren ce", - "Ġbec ause", - "ke y", - "t ain", - "iforn ia", - "Ġad m", - "ĠB y", - "th ough", - "Ġann oun", - "Ġl arge", - "Ġcons id", - "iv ely", - "re g", - "ĠG ro", - "ĠM al", - "Ġs outh", - "g round", - "Ġs on", - "ĠAustral ia", - "Ġ200 4", - "ic o", - "Ġd em", - "rid ge", - "ri end", - "Ġd istrict", - "ĠCal ifornia", - "l er", - "col or", - "Ġst and", - "ĠP ort", - "ĠB ra", - "Ġm ark", - "ĠM on", - "os p", - ". ,", - "use um", - "ct ure", - "Ġar ch", - "Ġp ower", - "inn ing", - "Ġst at", - "Ġbo ok", - "uc k", - "od y", - "ĠY ou", - "ĠPart y", - "en cy", - "Ġl o", - "Ġdeath s", - "ri pt", - "Ġ202 2", - "Ġc rit", - "ad io", - "it er", - "part ment", - "land s", - "in ing", - "Ġw ar", - "con om", - "um an", - "Ġappe ar", - "Ġc or", - "ĠD em", - "Ġm ale", - "Ġl arg", - "k a", - "Ġis s", - "ĠR oman", - "re st", - "Ġ18 6", - "Ġj ust", - "ist er", - "Ġ2 2", - "Ġre pl", - "ĠB el", - "c er", - "al d", - "al f", - "Ġw ater", - "Ġserv ice", - "g ed", - "Ġper iod", - "Ġn on", - "Ġper form", - "Ġadd ition", - "n ess", - "Ġres p", - "v es", - "Ġk ill", - "am ent", - "oci ety", - "ĠA nt", - "Ġde p", - "ee k", - "Ġv is", - "he l", - "our s", - "e le", - "Ġre fer", - "ĠS m", - "a ff", - "er ing", - "ĠO ne", - "Ġmov ed", - "ĠA ward", - "en se", - "Ġc r", - "ĠE m", - "Ġdiffer ent", - "iz e", - "Ġcur rent", - "ĠAustral ian", - "Ġro und", - "Ġl ike", - "ot e", - "rib ut", - "5 0", - "ĠAr my", - "Ġ2 3", - "Ġinc re", - "om b", - "Ġm illion", - "Ġl ed", - "k i", - "l ine", - "ĠN or", - "p ar", - "Ġt rad", - "Ġbus iness", - "am a", - "ĠA cc", - "t al", - "av y", - "her n", - "ĠM inist", - "Ġan other", - "Ġth ose", - "o on", - "Ġh istor", - "ĠR ober", - "op s", - "o f", - "Ġsh ip", - "Ġ18 7", - "Ġe qu", - "Ġst ill", - "and er", - "Ġ if", - "Ġf ather", - "Ġ el", - "Ġf ield", - "Ġw est", - "ĠJ ames", - "Ġd el", - "ĠInd ia", - "Ġex per", - "Ġa uthor", - "i ber", - "ĠM or", - "ĠSt e", - "d e", - "ep end", - "Ġf ac", - "c hed", - "iv il", - "Ġact iv", - "Ġh and", - "Ġcomp os", - "ĠCh urch", - "ĠM usic", - "Ġbe st", - "ĠGen eral", - "ĠFran ce", - "Ġp ort", - "Ġk m", - "o x", - "Ġannoun ced", - "Ġin ternational", - "Ġdeb ut", - "stru ction", - "Ġtit le", - "Ġcount ry", - "d om", - "ĠQ u", - "Ġs old", - "Ġf em", - "ĠTh om", - "Ġw in", - "as es", - "Ġ200 3", - "v ille", - "Ġ( )", - "Ġestabl ish", - "ĠY ear", - "19 7", - "u el", - "Ġcharact er", - "Ġe ast", - "Ġpolit ic", - "ĠGeor ge", - "ĠD ivision", - "f ield", - "un icip", - "us h", - "Ġs ide", - "c ast", - "Ġp at", - "Ġd ra", - "b e", - "ĠRoy al", - "Ġc ult", - "ourn al", - "ĠA p", - "an ish", - "re ad", - "Ġn ov", - "Ġa v", - "g color", - "Ġpre vious", - "ĠM ount", - "g in", - "Ġm ake", - "ĠEurope an", - "Ġ very", - "ri es", - "a el", - "ĠQ ue", - "ĠP e", - "ort hern", - "Ġa ward", - "ĠCl ub", - "ĠCanad ian", - "Ġset t", - "ug g", - "ĠAc adem", - "Ġele ction", - "Ġpro ject", - "ip p", - "l in", - "le x", - "ĠP al", - "Ġam ong", - "m s", - "ap p", - "ab or", - "Ġw orks", - "ĠV al", - "ĠG r", - "Ġ2 6", - "ĠCanad a", - "Ġ200 2", - "ĠE le", - "i us", - "ĠR ich", - "Ġf r", - "al ign", - "Ġro le", - "g es", - "Ġpro duced", - "ĠW hen", - "w ork", - "ĠP aul", - "Ġf e", - "Ġm ag", - "pl oy", - "for man", - "Ġle vel", - "ĠB u", - "o ff", - "Ġof ten", - "ol ution", - "Ġa ff", - "Ġl ate", - "Ġs pe", - "Ġre ad", - "Ġw eb", - "a pe", - "ĠDav id", - "ĠC ouncil", - "Ġth ough", - "Ġinv ol", - "Ġre se", - "Ġb gcolor", - "ĠF ootball", - "Ġp e", - "Ġ199 0", - "it ar", - "st on", - "at ch", - "Ġwrit ten", - "Ġex pl", - "Ġ2 8", - "Ġ2 7", - "or ies", - "im ent", - "ĠL ou", - "Ġeng ine", - "Ġf ore", - "ĠH ol", - "Ġep is", - "ĠAss ociation", - "Ġ es", - "stit ute", - "Ġad v", - "b ack", - "Ġte chn", - "ac ks", - "Ġ200 1", - "ĠW ith", - "b an", - "ĠR ed", - "Ġstart ed", - "Ġev en", - "ĠD r", - "umn i", - "Ġyou ng", - "Ġp oss", - "Ġall ow", - "o le", - "em pt", - "Ġcl os", - "iv id", - "o e", - "ro te", - "Ġm arried", - "it or", - "Ġg rad", - "ĠR ail", - "v al", - "Ġc ame", - "Ġoffic ial", - "Ġin it", - "Ġc over", - "Ġim port", - "ĠP resident", - "Ġcre ated", - "ĠAmer ica", - "ou ther", - "Ġw ent", - "form ation", - "Ġg iven", - "Ġs ite", - "Ġto tal", - "ol ic", - "g y", - "ir c", - "ĠSt reet", - "al t", - "Ġst ru", - "Ġe very", - "ĠF irst", - "Ġt urn", - "outher n", - "Ġcommun ity", - "y a", - "ĠF rom", - "ĠS ing", - "er ation", - "w est", - "oin ted", - "ĠSt ud", - "3 0", - "Ġjoin ed", - "ra p", - "om et", - "Ġv al", - "Ġeff ect", - "ĠH istor", - "it te", - "ĠK h", - "Ġra il", - "ot s", - "Ġpolit ical", - "Ġch ang", - "Ġwork ed", - "Ġwh at", - "Ġp res", - "Ġcon c", - "i j", - "Ġvari ous", - "ir on", - "Ġf re", - "Ġdevelop ment", - "ag o", - "ber t", - "ĠS en", - "ree k", - "ĠT own", - "Ġcon f", - "pos ed", - "s ite", - "ĠT rans", - "b or", - "ir l", - "Ġpro cess", - "m a", - "Ġ1 00", - "Ġt w", - "Ġv ideo", - "e al", - "Ġprofess ional", - "Ġele ct", - "her s", - "Ġf act", - "Ġm ilitary", - "ĠS l", - "ac hed", - "' t", - "ĠUn ion", - "Ġvers ion", - "at ic", - "olog ical", - "at ri", - "ĠGerman y", - "op e", - "re am", - "ĠGro up", - "Ġm uch", - "s elf", - "Ġpro te", - "Ġprodu ction", - "Ġh aving", - "Ġne xt", - "Ġcomm on", - "Ġb re", - "Ġcl aim", - "Ġbec ome", - "Ġspec ial", - "Ġg r", - "h old", - "ĠM art", - "Ġs ent", - "ĠH en", - "Ġm iss", - "Ġh ost", - "ĠB er", - "og n", - "Ġs w", - "ĠJ e", - "h ib", - "ĠV ir", - "ĠM ary", - "ĠM ag", - "Ġ198 0", - "ĠS er", - "ĠRo ad", - "o or", - "Ġus ing", - "ĠW e", - "Ġp ri", - "ĠBl ack", - "ĠAr ch", - "Ġ [", - "Ġdire ct", - "Ġreturn ed", - "ĠMe x", - "19 6", - "Ġw rote", - "Ġint ro", - "ĠP ri", - "Ġs it", - "Ġp resident", - "Ġpr im", - "m en", - "Ġt em", - "ĠItal ian", - "ĠM y", - "ĠJapan ese", - "Ġ199 9", - "est s", - "Ġ2 9", - "Ġg l", - "ĠAfric an", - "in ation", - "ĠT ur", - "Ġpos ition", - "Ġmat ch", - "h a", - "Ġan t", - "ict ion", - "ĠL aw", - "Ġdire ctor", - "i ography", - "m ing", - "ĠH all", - "oin ts", - "Ġteam s", - "Ġt ake", - "ĠW omen", - "Ġm ult", - "Ġch urch", - "Ġsong s", - "fl u", - "ĠThe se", - "Ġopen ed", - "Ġper forman", - "B C", - "ct s", - "il ar", - "ĠComm un", - "ĠW ash", - "ĠPro v", - "ivid ual", - "Ġf ew", - "Ġev ents", - "id a", - "Ġf un", - "ell ow", - "ĠG ames", - "Ġbe h", - "se qu", - "ĠS am", - "ĠRober t", - "arl iam", - "Ġv ol", - "ak en", - "ib r", - "itt le", - "ĠRuss ian", - "ĠLe g", - "an i", - "ent ion", - "e ad", - "ĠCh ina", - "oc rat", - "u le", - "ĠB est", - "l o", - "arliam ent", - "ar ian", - "g er", - "C A", - "ĠSc ott", - "2 1", - "Ġt imes", - "t ra", - "Ġst ory", - "Ġs ol", - "ĠO ther", - "ec ut", - "Ġpart icip", - "Ġw ay", - "Ġv oc", - "Ġfootball ers", - "y ing", - "ri an", - "Ġalbum s", - "ĠAcc ording", - "augh ter", - "Ġbe g", - "Ġh ig", - "ĠM ad", - "est ed", - "ĠC ap", - "ĠPl ay", - "un t", - "Ġf riend", - "Ġ199 8", - "ĠWash ington", - "it z", - "ĠC ourt", - "n ing", - "ic le", - "Ġatt ack", - "ket ball", - "ĠM iss", - "Ġro ad", - "stit ut", - "our ces", - "itte e", - "il es", - "an ies", - "Ġim p", - "Ġadm inist", - "ĠC ast", - "Ġpopul ar", - "Ġbro ther", - "Ġne ed", - "Ġwith out", - "ĠComp any", - "is l", - "ĠC ont", - "ĠThom as", - "at ter", - "Ġserv ices", - "ra g", - "an ces", - "a ur", - "Ġreg ion", - "end ing", - "Ġp ract", - "ĠS erv", - "Ġstud ents", - "idd le", - "Ġs k", - "Ġs ocial", - "od es", - "ĠC ath", - "Ġt er", - "ĠM en", - "ers hip", - "ĠS al", - "e x", - "wo od", - "ĠK n", - "a ign", - "Ġh alf", - "Ġbro ad", - "y ear", - "2 2", - "Ġg reat", - "Ġf ull", - "r ated", - "Ġcontin ued", - "Ġ197 0", - "Ġl ost", - "ĠA wards", - "ĠKing dom", - "ain ing", - "ĠCent ral", - "ĠS ociety", - "ac y", - "c raft", - "Ġco ach", - "y m", - "Ġm id", - "ĠM ont", - "ĠG rand", - "Ġal umni", - "ĠO p", - "us ed", - "Ġeduc ation", - "ra b", - "Ġrese arch", - "are nt", - "Ġ199 6", - "Ġatt empt", - "Ġs qu", - "Ġd ays", - "is ing", - "Ġh owever", - "ĠI r", - "b urg", - "Ġse e", - "ĠCh in", - "ens us", - "ĠRec ords", - "Ġprom ot", - "ap er", - "ĠM useum", - "4 0", - "Ġcomple ted", - "on a", - "Ġpro duc", - "Ġele cted", - "Ġapp ointed", - "ĠA lex", - "at ors", - "ĠChar les", - "ill s", - "ĠFl or", - "Ġcom b", - "ĠIs land", - "Ġinv est", - "Ġind ust", - "Ġin f", - "Ġ ident", - "est ival", - "in i", - "ĠD on", - "cent er", - "Ġpart y", - "ĠM et", - "Ġfound ed", - "Ġcont rol", - "Ġdire cted", - "ĠE duc", - "ĠCent er", - "Ġrecord ed", - "ĠTe x", - "Ġl im", - "Ġa ver", - "ific ation", - "u it", - "Ġr ight", - "ĠI m", - "r d", - "Ġ199 7", - "Ġsign ed", - "ĠE arly", - "Ġw ife", - "Ġe conom", - "ĠS ummer", - "amp le", - "l ess", - "Ġp oints", - "ber g", - "Ġpro per", - "Ġle ague", - "w h", - "as ons", - "Ġgroup s", - "Ġare as", - "2 3", - "Ġre view", - "Ġ18 5", - "Ġ /", - "ĠDe partment", - "Ġb ase", - "n el", - "Ġconsid ered", - "ish ing", - "ĠS im", - "Ġcon ne", - "Ġra ce", - "r ay", - "ĠAng el", - "ĠWest ern", - "Ġ202 3", - "ĠO ffic", - "Ġp oint", - "ĠJ ew", - "pl ay", - "Ġh on", - "ĠC he", - "Ġpart ic", - "Ġse le", - "at ural", - "ĠFran c", - "Ġre n", - "Ġf ind", - "Ġf urther", - "ĠV ict", - "j e", - "Ġm ar", - "= #", - "ĠT o", - "Ġc oll", - "ĠT V", - "Ġrel ations", - "ĠIn stitute", - "Ġc aus", - "ar ies", - "Ġv ict", - "ĠG old", - "ĠAcadem y", - "ĠLou is", - "ell s", - "Ġsim ilar", - "ĠOlymp ics", - "il i", - "Ġde g", - "ĠB ay", - "th let", - "Ġh old", - "ĠMich ael", - "Ġind ividual", - "way s", - "Ġto g", - "Ġre al", - "Ġpr iv", - "ĠG reat", - "Ġvi ew", - "ĠM ac", - "Ġweb site", - "Ġ z", - "id ence", - "ĠZ eal", - "Ġt en", - "ĠP ress", - "Ġtog ether", - "Ġ199 5", - "u ation", - "um p", - "Ġrele ase", - "ra in", - "ĠP at", - "ĠC ong", - "ĠZeal and", - "Ġ199 2", - "ric k", - "Ġin flu", - "ot a", - "ĠVir gin", - "ĠV ol", - "Ġreport ed", - "ĠChrist ian", - "Ġc ase", - "Ġappe ared", - "ĠM us", - "ĠRep ublic", - "ĠM er", - "ĠU K", - "et work", - "Ġ199 4", - "| |", - "ar ter", - "ar th", - "Ġs ports", - "Ġoff ice", - "ĠSp anish", - "ĠChin ese", - "Ġm other", - "ou l", - "ed eral", - "ĠAfric a", - "Ġtra ck", - "ĠK ore", - "m ar", - "Ġw eek", - "2 5", - "Ġ3 1", - "c ks", - "ĠT om", - "Ġ5 0", - "Ġm y", - "Ġk e", - "i que", - "Ġme et", - "Ġnov el", - "Ġcon d", - "Ġbir th", - "Ġdevelop ed", - "en c", - "Ġform ed", - "Ġin s", - "Ġh ous", - "it ive", - "y d", - "ak er", - "Ġ196 0", - "it ing", - "Ġmed al", - "ĠB ur", - "Ġhel p", - "Ġa ut", - "ĠCar ol", - "Ġgu itar", - "ad es", - "Ġla un", - "Ġass ist", - "ĠB en", - "Ġph ot", - "ĠIn ter", - "ĠT er", - "ul a", - "k n", - "ĠD an", - "ap t", - "Ġwork ing", - "e h", - "du ction", - "Ġd oc", - "Ġar r", - "Ġm aking", - "Ġimport ant", - "Ġto urn", - "c le", - "ĠG reen", - "i ers", - "Ġarch ite", - "ĠH am", - "ĠTex as", - "ail ed", - "ud e", - "re land", - "Ġart ist", - "Ġc ast", - "ĠWh ite", - "ĠP et", - "Ġgro w", - "ed y", - "Ġm unicip", - "Ġap pl", - "Ġg ood", - "im ately", - "it ted", - "ĠWh ile", - "ĠD el", - "Ġv ot", - "b and", - "ĠP ublic", - "Ġof fer", - "t a", - "id ing", - "ĠK e", - "ĠB as", - "c ial", - "ĠS ports", - "g o", - "Ġl ess", - "Ġtrad ition", - "Ġschool s", - "m on", - "ert ain", - "ic les", - "ĠMinist er", - "r as", - "ĠJ ose", - "Ġl ive", - "id ae", - "al a", - "ĠC ons", - "Ġd ata", - "ro ll", - "one y", - "it her", - "Ġph ys", - "Ġf und", - "Ġ199 3", - "ĠDem ocrat", - "Ġty p", - "Ġother s", - "ens ive", - "Ġh uman", - "Ġsh ould", - "Ġd aughter", - "ol a", - "ĠT or", - "ab ly", - "epend ent", - "at ives", - "Ġem ploy", - "Ġro ck", - "Ġd i", - "Ġgro und", - "ĠP eter", - "osp ital", - "Ġre v", - "ĠFran k", - "Ġrec ogn", - "Ġm ater", - "Ġhim self", - "Ġst ar", - "overn or", - "all s", - "v iron", - "Ġbuild ings", - "Ġde cl", - "Ġ =", - "re y", - "ĠCath olic", - "ĠM el", - "ĠS ong", - "ut y", - "ĠRich ard", - "le g", - "Ġr ul", - ") :", - "Ġac ross", - "az ine", - "Ġav ail", - "Ġf ire", - "Ġcomp anies", - "ĠS ur", - "g en", - "h i", - "ic ation", - "ĠSw ed", - "19 5", - "al y", - "ĠB ill", - "Ġb ody", - "p ite", - "s y", - "en a", - "ate g", - "ol f", - "Ġan im", - "ant ed", - "Ġcamp aign", - "Ġst ations", - "and ing", - "at re", - "Ġl anguage", - "sh ire", - "m ost", - "ri a", - "Ġe ight", - "19 4", - "um e", - "Ġdo es", - "ĠW il", - "b our", - "Ġaver age", - "ĠM ass", - "ĠL u", - "ĠU p", - "ĠF ore", - "Ġm ot", - "Ġ199 1", - "ce ed", - "Ġbl ack", - "Ġqu al", - "Ġex ist", - "Ġbec om", - "ĠPar is", - "ĠSec ond", - "Ġplay ing", - "ut es", - "ric ket", - "o ice", - "ra el", - "ĠL at", - "Ġt ro", - "g ress", - "Ġmod ern", - "Ġl ow", - "ĠHen ry", - "em or", - "Ġdef e", - "ĠSup er", - "ĠVict or", - "he ast", - "19 3", - "Ġh ow", - "ĠS ant", - "Ġepis ode", - "Ġ18 4", - "Ġp aint", - "st ro", - "Ġc le", - "Ġ et", - "ĠC ro", - "Ġgrad u", - "o res", - "S t", - "z il", - "Ġst age", - "Ġd ivision", - "Ġd ram", - "Ġex ample", - "Ġd er", - "ĠGeor g", - "Ġc ross", - "em ents", - "Ġ4 0", - "w rit", - "ud d", - "Ġr adio", - "ad a", - "Ġne ver", - "Ġl iving", - "air s", - "ĠD ire", - "Ġperform ed", - "h ood", - "Ġf oc", - "ĠL os", - "Ġfem ale", - "emb ly", - "ch ie", - "oc key", - "and id", - "Ġw inn", - "eth od", - "ĠH on", - "Ġl ight", - "ĠS ome", - "Ġse par", - "Ġart ists", - "Ġbel ie", - "ĠRe v", - "Ġf ree", - "ĠSm ith", - "Ġpolitic ian", - "Ġac qu", - "ĠP enn", - "Ġass oci", - "w are", - "ĠOr der", - "Ġf ight", - "t ime", - "ur a", - "ent ial", - "Ġcont ract", - "ov iet", - "2 4", - "ĠChampionship s", - "ĠL ake", - "ĠB ut", - "ibr ary", - "ough t", - "Ġstr ong", - "ign ed", - "Ġsuccess ful", - "Ġmon ths", - "ĠF C", - "Ġre d", - "Ġkill ed", - "at ory", - "im ate", - "Ġfin ished", - "ĠEduc ation", - "av al", - "Ġpl aces", - "id ents", - "Ġcon struction", - "ĠCh ic", - "he ad", - "pe ople", - "k ed", - "ĠI reland", - "ĠO l", - "Ġg ave", - "Ġestablish ments", - "Ġ198 8", - "ĠC amp", - "Ġm us", - "av es", - "ĠG o", - "Ġavail able", - "ĠDe f", - "Ġcon du", - "Ġa way", - "Ġgo al", - "Ġ198 9", - "v a", - "Ġperforman ce", - "if f", - "ell ing", - "ĠO b", - "ĠS aint", - "Ġt re", - "Ġal though", - "id s", - "ĠP an", - "as c", - "ish op", - "Ġpro t", - "Ġbo oks", - "ran ch", - "il ities", - "viron ment", - "it a", - "ĠS pec", - "Ġj ournal", - "an o", - "Ġin formation", - "Ġ ide", - "ĠD ay", - "ad o", - "inal s", - "z a", - "ic ated", - "ĠFilm s", - "he re", - "ĠOlymp ic", - "Ġd am", - "ĠC ur", - "Ġt aken", - "ĠV ill", - "ĠW in", - "ĠNot es", - "le ft", - "ell a", - "Ġcap t", - "it ch", - "i qu", - "ĠBra zil", - "ĠIs rael", - "ĠD u", - "ific ant", - "Ġshow s", - "Ġfollow ed", - ", \"", - "Ġr ank", - "o o", - "Ġag re", - "ĠR ob", - "ĠC areer", - "Ġto ur", - "ug by", - "Ġc ost", - "Ġm ix", - "ĠVirgin ia", - "Ġhe alth", - "Ġfr ont", - "Ġj ud", - "om a", - "ĠG overnment", - "Ġinclud es", - "Ġaward ed", - "Ġc irc", - "ut ch", - "Ġtourn ament", - "Ġc our", - "ĠM a", - "ĠL ife", - "ĠM in", - "\" |", - "Ġfeat ures", - "ig an", - "Ġ :", - "ĠJ ust", - "I I", - "Ġvi ol", - "Ġoriginal ly", - "Ġdesign ed", - "s erv", - "ĠT our", - "ĠAt l", - "Ġhouse hold", - "ĠH ill", - "ag ed", - "nd er", - "n y", - "i os", - "Ġac cess", - "Ġmater ial", - "ĠTe am", - "Ġse ven", - "se c", - "Ġs en", - "ve y", - "Ġc ourt", - "ĠE mp", - "e g", - "ĠC arl", - "ĠIt s", - "ĠM r", - "Ġim pro", - "Ġp ut", - "om s", - "Ġc ivil", - "Ġrel ig", - "2 6", - "Ġrem ained", - "ĠP erson", - "ĠHistor ic", - "Ġs ound", - "ĠAr ts", - "Ġs il", - "ist an", - "Ġstud y", - "Ġl ab", - "en ed", - "ĠG all", - "ĠR ock", - "Ġon ce", - "ĠG ra", - "2 7", - "Ġfeat ured", - "Ġin j", - "Ġd ou", - "ĠRail way", - "er ous", - "ar ia", - "ĠS qu", - "Ġfor ces", - "atri ate", - "Ġsc ored", - "ĠL and", - "ur ity", - "Ġc y", - "Ġ ill", - "om m", - "Ġt est", - "Ġ #", - "Ġp ress", - "ac hes", - "Ġ198 7", - "ol k", - "Ġb ar", - "ĠChic ago", - "2 8", - "he st", - "it es", - "Ġmark et", - "Ġbas ketball", - "ip le", - "Ġde v", - "Ġre b", - "Ġsing er", - "Ġsign ificant", - "ĠM o", - "ach ing", - "ap s", - "il ies", - "Ġpl an", - "end er", - "Ġex ecut", - "r or", - "ĠS oviet", - "ic ations", - "re l", - "Ġlead ing", - "Ġtra ining", - "em s", - "ĠSc ot", - "v in", - "Ġpol ice", - "Ġmed ia", - "ĠFor ce", - "Ġe arn", - "ver t", - "ĠS ub", - "y e", - "ic y", - "Ġ195 0", - "ĠM il", - "C h", - "Ġm ount", - "Ġlarg est", - "Ġr ights", - "ĠS ir", - "ear ch", - "ĠComm ission", - "augh t", - "ĠT wo", - "ĠItal y", - "m ier", - "A mer", - "ĠS o", - "ĠPro fess", - "Ġ198 6", - "our ce", - "Ġm ust", - "Ġair craft", - "Ġst ri", - "ĠM od", - "Ġmod el", - "ut er", - "ĠMex ico", - "Ġ198 4", - "Ġch art", - "Ġen c", - "y p", - "Ġs em", - "ĠCl ass", - "ĠI ll", - "Ġthrough out", - "ĠPol it", - "Ġl iter", - "ist ics", - "ĠP arliament", - "Ġg old", - "Ġtrans fer", - "Ġcons ist", - "v ing", - "ĠS ince", - "ĠMar k", - "Ġinvol ved", - "Ġc ou", - "ĠC at", - "Ġlist ed", - "Ġsub sequ", - "ord er", - "Ġst ated", - "ien ces", - "Ġwh ite", - "ĠO ff", - "ĠAn n", - "Ġw id", - "un k", - "Ġbo ard", - "s el", - "Ġintro duced", - "Ġrepl aced", - "ĠIr ish", - "Ġs ugg", - "ann el", - "Ġe arl", - "Ġse en", - "Ġcompet ition", - "Ġb i", - "Ġ18 3", - "un s", - "ĠE r", - "ĠProv ince", - "ĠFlor ida", - "Ġc andid", - "Ġd iv", - "if t", - "6 0", - "2 9", - "Ġtrans l", - "ĠN avy", - "ĠM ur", - "Ġ198 5", - "Ġwrit er", - "Ġevent ually", - "Ġpriv ate", - "Ġv ia", - "Ġresp ons", - "rib ution", - "ut ure", - "ĠTe chn", - "Ġcrit ic", - "Ġresult s", - "Ġent ire", - "u ff", - "Ġvoc als", - "c her", - "Ġab le", - "u z", - "um m", - "ĠD o", - "te xt", - "Ġr an", - "Ġadd ed", - "ret ary", - "ĠAl though", - "Ġc ollege", - "ĠD en", - "Ġpro ble", - "ĠO per", - "ĠComm ittee", - "ĠF estival", - "Ġfour th", - "ĠS il", - "o ch", - "Ġp ast", - "Ġcount ries", - "ĠF in", - "as k", - "ĠB us", - "ro ad", - "A S", - "el t", - "ĠW ales", - "c ript", - "Ġw ind", - "ĠAngel es", - "y r", - "ĠO ver", - "Ġcent ral", - "Ġst e", - "Ġact ress", - "m b", - "uf act", - "Ġsur v", - "as ing", - "ul arly", - "Ġa ud", - "Ġwrit ers", - "u a", - "ian o", - "Ġcomm and", - "Ġass ociation", - "Ġle ast", - "m in", - "Ġres pect", - "i res", - "ĠBro wn", - "ĠE v", - "Ġl oss", - "yl van", - "Amer ican", - "Ġsp ace", - "por ary", - "Ġs er", - "A R", - "ĠSc ience", - "ĠO ut", - "mer cial", - "8 0", - "ĠN orthern", - "Ġun its", - "ĠM ost", - "ab ility", - "f ic", - "ĠR h", - "Ġn omin", - "ĠF ound", - "ĠSt ar", - "ĠRuss ia", - "Ġm inist", - "Ġs ch", - "b b", - "ok e", - "ĠU k", - "ĠG od", - "r up", - "Ġdeg ree", - "i ro", - "ĠCong ress", - "ĠCarol ina", - "Ġst aff", - "Ġdisc over", - "Ġ198 3", - "Ġr ange", - "Ġst ates", - "ib l", - "ĠAr g", - "ri al", - "Ġcl ose", - "ĠR os", - "Ġdoc ument", - "ra w", - "ĠJ un", - "Ġbroad cast", - "n ow", - "Ġf ig", - "Ġab ove", - "pl es", - "Ġre ached", - "med i", - "g ian", - "l or", - "Ġc ensus", - "ĠServ ice", - "st e", - "ant ic", - "Ġpl ant", - "ĠCol umb", - "ĠL iber", - "ĠE s", - "ĠC r", - "Ġch ange", - "erv e", - "T V", - "Ġprov ided", - "ĠJose ph", - "ĠO h", - "Ġse asons", - "Ġt reat", - "Ġcurrent ly", - "oy s", - "Ġex hib", - "ĠO ld", - "i ents", - "b ur", - "rough t", - "Ġg et", - "Ġcont ribut", - "Ġexp ress", - "ylvan ia", - "l im", - "Ġp ur", - "Ġe ither", - "Ġf av", - "Ġ( \"", - "Ġch ampionship", - "r ative", - "ĠS a", - "f ace", - "Ġtra vel", - "or por", - "Ġac cept", - "Ġpl aced", - "u x", - "sy ch", - "Ġmiss ing", - "Ġup on", - "ĠF re", - "al ed", - "F A", - "Ġrail way", - ") ;", - "bo ard", - "ĠS eries", - "Ġs aw", - "ad ium", - "Ġinter est", - "st ant", - "ian a", - "Ġstru ct", - "ĠC am", - "F L", - "ĠP ac", - "ab it", - "ist ic", - "ip l", - "Ġ198 2", - "Ġcent er", - "Ġm ur", - "w ell", - "Ġk ey", - "Ġ !", - "Ġa ction", - "ĠAss embly", - "a ut", - "ĠF ort", - "ĠD ou", - "Ġocc ur", - "ed s", - "Ġty pe", - "ĠM os", - "cept ion", - "Ġp ot", - "ĠM ic", - "kn own", - "p ly", - "is es", - "Ġc op", - "ĠF urther", - "ĠF ollow", - "Ġn ight", - "Ġa chie", - "ig er", - "g l", - "ĠS k", - "Ġd u", - "ĠR am", - "Ġatt ended", - "Ġ197 9", - "stit ution", - "Ġle arn", - "ĠM ill", - "Ġcharact ers", - "ĠB re", - "l anguage", - "ĠB attle", - "ĠA rab", - "Ġse x", - "ubl ican", - "ay ing", - "ĠM at", - "az z", - "Ġcap ital", - "p ress", - "ĠP opul", - "et te", - "Ġme as", - "Ġdec ided", - "ĠM ain", - "ĠW ood", - "Ġf if", - "l am", - "i h", - "ĠM ajor", - "ĠT ro", - "ele b", - "Ġar g", - "Ġdec ision", - ". )", - "ult ural", - "Ġprevious ly", - "Ġdra w", - "ĠRes earch", - "eng th", - "ar ily", - "ĠEmp ire", - "ĠG reek", - "ĠF red", - "ult ure", - "c a", - "Ġst re", - "Ġde stro", - "Ġne igh", - "Ġ197 2", - "Ġlead er", - "Ġh om", - "d en", - "ĠDemocrat ic", - "g r", - "Ġappro x", - "am ily", - "Ġstud io", - "Ġse ction", - "er o", - "Ġus ually", - "Ġme an", - "ĠPenn s", - "Ġ197 6", - "or ing", - "Ġm ass", - "ĠS ol", - "Ġdefe ated", - "ĠOffic ial", - "ĠH a", - "Ġsing les", - "and a", - "Ġed ition", - "ĠMart in", - "u an", - "ĠD utch", - "Ġre ve", - "Ġocc up", - "ow ers", - "st ra", - "re me", - "ĠC le", - "ĠS un", - "p ing", - "ĠFollow ing", - "Ġkn ow", - "Ġg rand", - "Ġn atural", - "Ġinst ead", - "Ġeff ort", - "ĠMed al", - "ĠJ im", - "ĠScott ish", - "Ġp ain", - "Ġpo et", - "Ġact or", - "Ġr iver", - "ĠSp ain", - "ch an", - "Ġf arm", - "Ġp arent", - "Ġacc ount", - "il s", - "ig a", - "ĠS ocial", - "ĠPenns ylvania", - "Ġb ur", - "B A", - "or a", - "Ġsub ject", - "st r", - "c el", - "c ell", - "Ġ198 1", - "Ġw inning", - "Ġproduc er", - "ĠG ar", - "inc ip", - "ans as", - "ĠM embers", - "Ġinvest ig", - "Ġwh ose", - "ult y", - "ult s", - "Ġm ethod", - "ĠW al", - "um ents", - "Ġpl ann", - "Ġ197 8", - "ĠL ove", - "Ġpart s", - "ĠIn c", - "Ġact ive", - "Ġ197 4", - "Ġrepresent ed", - "in ent", - "ĠM ilitary", - "Ġmov ement", - "at o", - "Ġg e", - "ĠH ow", - "Ġprim ary", - "Ġprov ide", - "ĠAs ian", - "Ġfam ilies", - "Ġcult ure", - "Ġ196 8", - "ĠP ak", - "w an", - "Ġrelations hip", - "Ġplay s", - "9 0", - "ĠL ater", - "ĠF inal", - "b ased", - "Ġf ar", - "Ġp ark", - "ĠR adio", - "Ġsc ient", - "Ġorgan iz", - "pt ion", - "Ġpr ison", - "ĠJ ud", - "Ġde al", - "ĠLe e", - "Ġp red", - "Ġn orthern", - "Ġ194 0", - "Ġs outhern", - "Ġbeh ind", - "Ġp urch", - "ĠE p", - "pos ition", - "r ig", - "Ġt ax", - "ĠH ot", - "cl us", - "ĠT w", - "ar io", - "Ġ197 5", - "ug u", - "ĠC ross", - "l a", - "ĠI ran", - "ĠYou ng", - "ig ital", - "Ġmus ical", - "ĠBu ild", - "ad y", - "ens ion", - "Ġs ize", - "y er", - "ĠC ivil", - "ĠCh ief", - "Ġb ank", - "Ġl ik", - "7 0", - "omet imes", - "Ġ197 7", - "se e", - "ri e", - "Ġl ower", - "ĠB ul", - "ing u", - "ĠBo ard", - "w er", - "ĠB et", - ".. .", - "Ġgo als", - "isc o", - "ĠS ar", - "ĠSp ace", - "Ġb rought", - "ĠP ost", - "Ġread ing", - "Ġco ast", - "Ġnew sp", - "ĠB ig", - "ĠB ase", - "erg y", - "Ġout side", - "ĠL oc", - "Ġac adem", - "ĠH el", - "Ġs us", - "s k", - "ĠS outhern", - "ĠReg ister", - "\" )", - "n ot", - "Ġp ers", - "Ġcolle ction", - "Ġh ard", - "Ġorgan ization", - "im b", - "ar ing", - "Ġc ut", - "Ġ i", - "ĠC D", - "end s", - "ĠH aw", - "Ġr ather", - "all ed", - "ĠB ack", - "ers ey", - "Ġ197 3", - "Ġf all", - "m ark", - "Ġclos ed", - "a o", - "Ġindust ry", - "Ġrun s", - "Ġwrit ing", - "al i", - "Ġn etwork", - "Ġg irl", - "Ġend ed", - "N A", - "Ġc ricket", - "ĠJ ack", - "Ġman ufact", - "Ġc are", - "h an", - "Ġdram a", - "Ġk ing", - "ĠL uc", - "or se", - "Ġfor ce", - "Ġsh ot", - "ir m", - "Ġfootball er", - "Ġ193 0", - "ĠAd m", - "it an", - "Ġsystem s", - "anc ial", - "p an", - "at i", - "pec ially", - "he t", - "aw a", - "ĠO x", - "I D", - "ĠEd ward", - "ĠEng ine", - "ct ive", - "Ġh it", - "ĠL ong", - "Ġes c", - "ul ation", - "oun ter", - "Ġposs ible", - "Ġw ood", - "Ġim m", - "ĠVal ley", - "ĠR el", - "Ġreg ard", - "ĠU nder", - "ĠT ri", - "Ġ194 5", - "Ġmat ches", - "m ond", - "Ġallow ed", - "Ġstud ies", - "ĠV er", - "ĠU r", - "ĠS pr", - "ĠT imes", - "Ġne g", - "Ġal most", - "it ors", - "ĠRep ublican", - "Ġreg ular", - "Ġ196 9", - "ven ue", - "id er", - "Ġstru cture", - "Ġst op", - "in ary", - "Ġ197 1", - "Ġmag azine", - "ĠJew ish", - "em ic", - "ur b", - "Ġchang ed", - "Ġcomm ission", - "Ġfre qu", - "c ient", - "enn is", - "ĠTe levision", - "in ated", - "l ike", - "ĠJ ul", - "ent h", - "Ġc at", - "ĠB ob", - "back ground", - "ĠP o", - "ĠB ank", - "Ġd en", - "ĠMich igan", - "Ġis land", - "c ing", - "Ġpl at", - "Ġsett le", - "Ġsch ol", - "ĠD isc", - "Ġlaun ched", - "Ġb all", - "ĠM ah", - "Ġoper ations", - "it iz", - "ĠC amb", - "air man", - "ov ers", - "Ġw oman", - "ĠPl aces", - "velop ment", - "Ġbeg inning", - "ac ing", - "Ġperson al", - "ĠJ er", - "ĠO s", - "Ġter rit", - "k o", - "Ġto wards", - "3 5", - "on n", - "Ġte xt", - "i as", - "Ġtrans port", - "ĠMc C", - "Ġgen us", - "ĠA thlet", - "Ġown ed", - "Ġdet erm", - "Ġt aking", - "Ġn ar", - "Ġf ood", - "ĠOp en", - "Ġmanag er", - "et ts", - "Ġacc ording", - "e es", - "Ġ196 7", - "Ġc ases", - "ĠT im", - "Ġm er", - "ĠH ung", - "ĠHe alth", - "ip s", - "y an", - "Ġn ames", - "ak a", - "Ġind ependent", - "Ġcon stru", - "Ġwh om", - "Ġp ay", - "us band", - "ĠV i", - "ly ing", - "Ġ196 4", - "ol s", - "Ġsc ience", - "Ġf a", - "Ġrem ov", - "Ġoffic er", - "Ġc red", - "ĠPhil ipp", - "Ġ )", - "ĠOh io", - "ĠB h", - "Ġsc ore", - "st ate", - "ĠK ent", - "Ġapprox imately", - "ĠIn f", - "Ġmin or", - "Ġv eh", - "ĠT op", - "Ġob serv", - "ĠL ine", - "ĠF r", - "7 5", - "ĠUn ivers", - "Ġcomp let", - "Ġbre ak", - "ĠR ou", - "im a", - "ĠPol and", - "Ġfun ction", - "ib ility", - "ĠJ o", - "b ury", - "ino is", - "Ġe ver", - "Ġsc reen", - "b on", - "Ġconc ern", - "Ġsp ent", - "Ġar my", - "ĠG al", - "ĠArg ent", - "Ġaddition al", - "ct ing", - "g a", - "pe cted", - "Ġsqu ad", - "Ġ6 0", - "ĠD is", - "o id", - "Ġph il", - "ĠII I", - "ĠA re", - "o ir", - "Ġnot ed", - "in et", - "ĠScot land", - "ĠM ot", - "ĠG h", - "Ġs elf", - "Ġob ject", - "en ced", - "Ġcomple x", - "Ġbo x", - "ir a", - "Ġc eleb", - "amp ions", - "ĠT re", - "ach us", - "ĠL ord", - "if y", - "w w", - "Ġiss ues", - "Ġcount y", - "ĠPol ish", - "Ġ19 20", - "os h", - "il ed", - "Ġch ief", - "ĠB or", - "en ces", - "Ġsen ior", - "es h", - "k ing", - "ĠQue en", - "Ġc he", - "Ġmon th", - "Ġb attle", - ": #", - "Ġcom mercial", - "ost on", - "Ġl ived", - "Ġs ummer", - "Ġele ctions", - "4 5", - "Ġits elf", - "Ġd ate", - "Ġmult iple", - "Ġrel ated", - "uf fer", - "ĠPac ific", - "Ġs at", - "read y", - "Ġpolitic ians", - "Ġfoc us", - "Ġhig hest", - "Ġro ute", - "ĠNew s", - "Ġso on", - "ĠM att", - "ĠJ r", - "ĠIll inois", - "Ġtradition al", - "d own", - "Ġto o", - "Ġl ittle", - "Ġf uture", - "Ġle t", - "Ġqu est", - "Ġes pecially", - "ĠDire ctor", - "Ġhig her", - "Ġopen ing", - "ay a", - "ard en", - "Ġsup er", - "Ġlo ok", - "ĠE nd", - "Ġ196 5", - "um s", - "Ġm oney", - "Ġc al", - "ac her", - "ĠO k", - "ĠBrit ain", - "Ġrequ ired", - "ĠRep resent", - "achus etts", - "f ect", - "Ġinter view", - "Ġun ion", - "ĠCon ference", - "ĠD i", - "ĠJ ersey", - "Ġ196 6", - "bur gh", - "em porary", - "ĠS and", - "ĠGeorg ia", - "Ġen vironment", - "r ich", - "ad or", - "Ġed itor", - "ct ic", - "ob al", - "Ġcont ains", - "Ġappear ance", - "ĠC y", - "ĠAs ia", - "Ġbel ow", - "Ġ18 0", - "k ins", - "Ġproper ty", - "Ġpri or", - "ĠG overnor", - "ĠA z", - "19 0", - "ĠC olle", - "ĠL ab", - "ĠMass achusetts", - "Ġvict ory", - "h ouse", - "Ġme ans", - "Ġsele cted", - "Ġent ered", - "ch ange", - "on se", - "ĠB oston", - "ĠF er", - "Ġstud ied", - "d s", - "Ġpro f", - "ig r", - "p ut", - "Ġh usband", - "ĠL o", - "ĠBo ok", - "Ġpract ice", - "ĠEast ern", - "S A", - "Ġe mer", - "Ġsur round", - "Ġloc ation", - "al ys", - "st anding", - "Ġex am", - "ut en", - "Ġassoci ated", - "emor ial", - "ĠTh at", - "Ġun it", - "ĠC O", - "ĠJ ournal", - "vent ion", - "Ġm ission", - "Ġstruct ures", - "Ġb ass", - "Ġr ad", - "ĠHe ad", - "Ġmur der", - "Ġtr ade", - "j a", - "Ġ3 5", - "Ġd on", - "w a", - "Ġprofess or", - "ĠL ibrary", - "ĠColumb ia", - "ĠB ang", - "Ġc ertain", - "Ġcent re", - "ĠJ ac", - "Ġstand ard", - "Ġship s", - "ĠG re", - "F C", - "Ġret ired", - "op er", - "Ġse at", - "Ġad op", - "Ġearl ier", - "ĠPr ince", - "Ġar ran", - "Ġ ens", - "3 3", - "i i", - "Ġrun ning", - "Ġmanag ement", - "ĠM ore", - "Ġ er", - "Ġbecom ing", - "Ġd om", - "ĠJe an", - "Ġde partment", - "ĠG ame", - "w ith", - "ĠF ield", - "Ġstud ent", - "ry ing", - "Ġ194 4", - "ĠM P", - "Ġactiv ities", - "t ained", - "Ġso ft", - "Ġt rib", - "ĠThe atre", - "ĠJ ones", - "Ġclub s", - "Ġcom e", - "ĠWilliam s", - "Ġl ength", - "an ks", - "Ġem b", - "Ġmunicip ality", - "il a", - "Ġleg al", - "and ed", - "i y", - "al le", - "Ġcoll abor", - "ĠSt an", - "ail s", - "ig g", - "ĠDe velopment", - "Ġmed ical", - "Ġact ors", - "Ġs uffer", - "Ġcom edy", - "arri age", - "in em", - "N E", - "ĠM iddle", - "gy pt", - "ian ce", - "Ġleg isl", - "Ġinit ially", - "om y", - "ĠW eb", - "Ġqu arter", - "Ġcaus ed", - "9 9", - "ĠM any", - "Ġal ready", - "ad el", - "Ġs ometimes", - "Ġp ie", - "s en", - "b re", - "ĠS oc", - "Ġp en", - "Ġth us", - "Ġtra in", - "ĠCo ast", - "ĠFranc isco", - "ĠE conom", - "ĠV an", - "Ġdestro y", - "Ġmov e", - "Ġoper ated", - "et ic", - "ĠI f", - "Ġfeat ure", - "ĠB ow", - "ĠH ong", - "Ġgeneral ly", - "ĠSt ep", - "ĠK ong", - "Ġar rest", - "Ġfore st", - "Ġincre ased", - "Ġequ ip", - "ĠD et", - "ĠS at", - "Ġold er", - "Ġh ockey", - "Ġl ove", - "ĠK ar", - "ĠW ater", - "ant ry", - "Ġcour se", - "Ġw ide", - "ĠOr gan", - "tra ck", - "Ġwest ern", - "ĠM u", - "ĠW ind", - "sp an", - "Ġnum erous", - "ĠAl bert", - "am m", - "ĠBl ue", - "Ġcon v", - "Ġus es", - "Ġcompet ed", - "n o", - "Ġc ouncil", - "Ġnew s", - "Ġra p", - "ĠMan ag", - "Ġg ra", - "Ġann ual", - "Ġdif fic", - "a res", - "ee ks", - "Ġs af", - "ĠF ed", - "is ation", - "ĠJohn son", - "ĠP res", - "Ġ196 3", - "Ġchang es", - "ĠCons erv", - "and s", - "k en", - "Ġv ir", - "ĠE ll", - "ĠD ie", - "ĠM id", - "ĠCh ild", - "on ia", - "ĠPerson al", - "ĠSy stem", - "el a", - "Ġmajor ity", - "og rap", - "Ġs u", - "ĠDe ath", - "ill a", - "Ġterm s", - "Ġserv ing", - "ĠB C", - "ĠCent re", - "ri ef", - "Ġiss ue", - "ul pt", - "Ġf ederal", - "ĠA k", - "att al", - "stit u", - "Ġab s", - "ĠB iography", - "Ġant i", - "ad d", - "Ġind ic", - "ple ment", - "Ġperson nel", - "Ġbet ter", - "Ġcol on", - "Ġun iversity", - "ab eth", - "ĠBro ad", - "Ġ196 2", - "ul f", - "Ġth reat", - "ĠSer b", - "el le", - "Ġrelig ious", - "ĠA ri", - "Ġse a", - "p re", - "Ġc ust", - "Ġs ister", - "ĠT ime", - "ĠE gypt", - "I n", - "ĠB al", - "Ġke ep", - "it ation", - "ĠOx ford", - "ak h", - "ĠB ir", - "ĠSt ation", - "ĠT em", - "Ġpro b", - "ĠG ood", - "ĠTrans port", - "ĠOff ice", - "A C", - "ĠIn t", - "ĠW rit", - "Ġd rop", - "Ġlin es", - "ĠS pe", - "Ġpass ed", - "ĠH ome", - "ĠT am", - "as y", - "ĠAd am", - "Ġd ed", - "ĠSpec ial", - "Ġl ack", - "ĠIs lam", - "ĠW ild", - "Ġacc om", - "che n", - "ĠAlex ander", - "ĠL ittle", - "ĠTra ck", - "t ies", - "ĠComm on", - "Ġh ot", - "Ġexp atriate", - "Ġthough t", - "Ġor d", - "ĠSwed ish", - "man n", - "art ers", - "Ġoffic ers", - "ĠF our", - "ie uten", - "ĠL y", - "ir it", - "is her", - "ce an", - "Ġrecord ing", - "Ġclaim ed", - "Ġh um", - "Ġfor ced", - "ur ban", - "ĠU l", - "Ġprogram s", - "9 5", - "ĠM ax", - "Ġeconom ic", - "Ġstat us", - "Ġdisc uss", - "Ġ4 5", - "ĠK en", - "w ar", - "ĠFound ation", - "Ġn ine", - "Ġinst r", - "Ġlim ited", - "un n", - "orpor ated", - "; \"", - "Ġm useum", - "a ction", - "Ġsupport ed", - "it age", - "Ġim medi", - "ĠB ern", - "Ġ194 2", - "Ġmin utes", - "ĠSen ate", - "Ġcomple te", - "Ġp il", - "acks on", - "ub e", - "Ġcre ate", - "b l", - "Ġgen er", - "ĠCor ps", - "Ġover all", - "Ġh ours", - "Ġsubsequ ently", - "h ire", - "Ġsh oot", - "Ġpresent ed", - "Ġb ene", - "8 8", - "Ġmeet ing", - "ĠThe ir", - "ph y", - "ĠEn ter", - "ĠLat in", - "Ġrem ains", - "ĠF ar", - "ĠGall ery", - "ĠC ard", - "ĠR ay", - "Ġ194 8", - "ro wn", - "Ġ ice", - "ing er", - "ĠAd d", - "ig inal", - "ĠAnd rew", - "Ġdes cent", - "Ġra ised", - "uc le", - "Ġearn ed", - "Ġin stitut", - "v is", - "Ġl ic", - "Ġocc as", - "ĠB ibl", - "A T", - "Ġbel ong", - "ct ors", - "Ġev idence", - "n am", - "Ġcommun ities", - "ĠA sh", - "Ġch all", - "ĠVictor ia", - "Ġgo ing", - "Ġ194 3", - "ĠO f", - "ĠF I", - "3 6", - "iz ing", - "Ġplat form", - "Ġmost ly", - "un a", - "ap ers", - "Ġ195 6", - "Ġj ob", - "ĠC reek", - "is k", - "Ġ196 1", - "ĠSe a", - "Ġhistor ical", - "u ge", - "um ber", - "Ġw eeks", - "Ġal tern", - "m i", - "Ġf le", - "Ġappear ances", - "ĠEl iz", - "Ġse qu", - "w ide", - "at ers", - "ĠSy d", - "ĠBer lin", - "ail y", - "Ġ6 5", - "ĠM inn", - "ur t", - "ĠDe v", - "Ġresp onse", - "ĠS und", - "ĠCor por", - "ĠT y", - "Ġg ive", - "4 7", - "Ġs om", - "ĠJ ackson", - "A F", - "ze ch", - "ieuten ant", - "Ġper cent", - "ĠC orn", - "ĠKore an", - "Ġpro p", - "Ġb ound", - "Ġsh own", - "Ġar m", - "ĠC op", - "Ġin sp", - "w in", - "im s", - "Ġcon cept", - "Ġ195 8", - "ir ing", - "Ġo pt", - "B S", - "Ġreg ional", - "ĠDan iel", - "Ġpartic ularly", - "Ġinc ome", - "g u", - "ĠAl bum", - "ĠW eek", - "Ġacqu ired", - "Ġparent s", - "Ġfore ign", - "ĠR aj", - "Ġb omb", - "ĠSec retary", - "ĠEle ct", - "ĠIs lands", - "Ġm ention", - "Ġpol icy", - "Ġy outh", - "ĠN ight", - "im um", - "ont o", - "Ġc ell", - "alys is", - "Ġ195 9", - "ste in", - "Ġm iddle", - "enc ies", - "3 8", - "che ster", - "Ġdis e", - "re m", - "Ġrecord s", - "ent y", - "ĠPol ice", - "Ġin n", - "Ġt akes", - "os oph", - "4 8", - "Ġlong er", - "ĠB BC", - "Ġl os", - "Ġg ot", - "Ġhel ped", - "ell ed", - "Ġpartic ular", - "Ġf ailed", - "ri ed", - "Ġappe ars", - "ĠG irl", - "Ġ ver", - "Ġpromot ed", - "ĠDes pite", - "Ġa wards", - "on ic", - "Ġpr incip", - "Ġst ep", - "Ġ194 6", - "ĠTh ree", - "ent al", - "st one", - "Ġfam ous", - "Ġbl ock", - "ĠKore a", - "Ġrem ain", - "out heast", - "Ġthe ory", - "ĠR od", - "olog ist", - "Ġin te", - "ag n", - "Ġv ote", - "Ġfin ancial", - "Ġorganiz ations", - "ak ers", - "Ġle aving", - "ĠAt t", - "Ġtra cks", - "ĠM ov", - "ĠR og", - "Ġeast ern", - "o z", - "led ge", - "Ġg overn", - "Ġbase ball", - "ĠB i", - "Ġp sych", - "Ġ194 1", - "Ġm em", - "ĠW ork", - "Ġtechn ology", - "Ġ3 2", - "Ġen ergy", - "v ement", - "cl ass", - "om er", - "Ġsc hed", - "Ġv on", - "if ying", - "Ġm ach", - "y o", - "Ġcompos ed", - "ron ze", - "Ġh app", - "4 6", - "Ġrefer red", - "b ers", - "ĠW all", - "ĠT ax", - "ĠReg iment", - "Ġspec ific", - "Ġcre w", - "ĠSyd ney", - "ĠF amily", - "3 7", - "Ġqu ick", - "em et", - "ĠH ospital", - "Ġincre ase", - "c ul", - "ĠM unicip", - "ĠK enn", - "Ġc itiz", - "Ġbelie ved", - "Ġrem aining", - "Ġw ord", - "ĠC oll", - "ĠSh ow", - "Ġprov ince", - "Ġc ateg", - "Ġlarg er", - "ĠJ oe", - "Ġhous es", - "ĠCh arl", - "rop ol", - "ĠV iet", - "ĠC zech", - "te en", - "Ġh ospital", - "v est", - "c an", - "Ġc arried", - "ĠO tt", - "ĠL im", - "Ġ eth", - "T h", - "ĠV en", - "ric e", - "il ly", - "ou ri", - "ĠBus iness", - "Ġam ount", - "Ġl atter", - "ĠH y", - "ĠW ay", - "Ġtro ops", - "ĠF ederal", - "th ur", - "istric ts", - "Ġ195 7", - "Ġd iss", - "Ġ193 9", - "C C", - "Ġ( ),", - "ĠAr m", - "Ġstart ing", - "ĠTur k", - "Ġarchite ct", - "ov a", - "ĠP en", - "9 6", - "Ġ194 7", - "sel ves", - "ment ary", - "im ated", - "Ġthem selves", - "Ġl ay", - "Ġb rand", - "ĠQue ens", - "ĠD er", - "Ġt arg", - "l av", - "rup t", - "Ġpro posed", - "Ġch arg", - "Ġn orm", - "9 8", - "Ġfor t", - "ut s", - "Ġro om", - "Ġb ring", - "Ġepis odes", - "Ġn ative", - "ĠR et", - "Ġc er", - "Ġ195 2", - "Ġr ate", - "ĠFor m", - "ĠB oth", - "ĠO nt", - "Ġindividual s", - "ĠW orks", - "ĠB and", - "eng er", - "Ġgradu ated", - "Ġassist ant", - "Ġ3 6", - "m ore", - "e ch", - "ut t", - "ur ies", - "Ġp ra", - "Ġl og", - "ĠB ab", - "Ġwinn er", - "Ġform s", - "Ġcult ural", - "p ose", - "Ġde part", - "ĠPri ze", - "Ġ195 5", - "Ġc ities", - "itt ing", - "Ġsur face", - "Ġc hem", - "he w", - "ĠPr ime", - "j i", - "Ġoffer ed", - "ĠE arth", - "ĠJ on", - "Ġv en", - "a is", - "Ġdel iver", - "ph ia", - "ĠCol or", - "Ġm erg", - "er b", - "Ġhe avy", - "ĠB oy", - "ĠTown ship", - "ĠT ay", - "ous ly", - "ĠT od", - "es ota", - "Ġexecut ive", - "Ġon line", - "ed d", - "9 7", - "Ġs pl", - "Ġpre vent", - "ĠJe ff", - "ĠBo oks", - "Ġm arriage", - "Ġmean ing", - "ĠPre mier", - "angu ages", - "A r", - "Ġad j", - "/ /", - "Ġt able", - "enn es", - "ĠL es", - "ĠRou te", - "Ġnewsp aper", - "ĠN ether", - "ĠM ir", - "ĠMinist ry", - "Ġsepar ate", - "Ġs ociety", - "Ġd yn", - "vers e", - "Ġcons ists", - "ound s", - "ell ig", - "ĠS em", - "ĠD ist", - "Ġfif th", - "c i", - "ion e", - "ĠNot able", - "per or", - "ĠEliz abeth", - "ou ra", - "Ġb ridge", - "ĠJ es", - "ĠB ell", - "Ġpe ak", - "ĠE st", - "ic ted", - "ĠAnt on", - "I S", - "Ġto day", - "ĠMinn esota", - "ro vers", - "Ġsuc ceed", - "Ġ ess", - "ĠB ol", - "adel phia", - "Ġexper ience", - "ĠBase ball", - "ran e", - "Ġf ail", - "Ġserv e", - "f it", - "ĠP ubl", - "Ġcond itions", - "Ġvari ety", - "ĠJust ice", - "Ġcomp l", - "Ġb rief", - "it ude", - "Ġf oot", - "h y", - "ĠTor onto", - "Ġlab el", - "Ġtransfer red", - "k er", - "u ated", - "3 4", - "Ġtem per", - "ess ion", - "Ġcandid ate", - "Ġb order", - "m as", - "Ġs ource", - "ĠH uman", - "ron ic", - "ic ine", - "ĠOnt ario", - "Ġhousehold s", - "res p", - "Ġpart n", - "ran ce", - "Ġmain ly", - "Ġmov ie", - "al og", - "ĠSqu ad", - "ĠSup reme", - "Ġalong side", - "ĠH ind", - "ĠA ut", - "z y", - "ĠM ike", - "Ġdes pite", - ": //", - "ĠCh ap", - "Ġsc ulpt", - "Ġrequ ire", - "ĠL em", - "in ct", - "Ġal ways", - "ĠS om", - "a ult", - "ĠReg ion", - "ĠB ad", - "ĠB orn", - "ĠL ew", - "ĠL ight", - "ĠN ations", - "ĠT ok", - "ĠB a", - "ĠSong s", - "ric s", - "Ġpart ies", - "we ight", - "e v", - "Ġ194 9", - "Ġ195 4", - "u ing", - "Ġoper ation", - "Ġiss ued", - "Ġdou ble", - "ic ks", - "ĠPro gram", - "Ġ( ,", - "ĠI d", - "an th", - "ĠW el", - "attal ion", - "Ġpo or", - "b it", - "n es", - "3 1", - "ĠAn other", - "Ġext ended", - "sec ut", - "Ġb r", - "Ġdem on", - "ort heast", - "Ġme chan", - "ĠAn th", - "Ġpl ans", - "Ġf ace", - "ĠD un", - "Ġprov ides", - "ĠC E", - "ĠA ff", - "Ġsold iers", - "Ġm akes", - "Ġart icle", - "Ġturn ed", - "Ġinflu ence", - "R A", - "Ġ8 0", - "Ġdef eat", - "Ġrespons ible", - "Ġsil ver", - "bour ne", - "Ġd one", - "Ġro w", - "Ġj un", - "Ġs n", - "ĠHar ris", - "Ġ195 3", - "ĠA h", - "Ġarr ived", - "ra ine", - "ĠStep hen", - "er land", - "ill ed", - "Ġfeat uring", - "ĠB rad", - "Ġh ar", - "ĠMex ican", - "Ġdiffic ult", - "ĠPhil adelphia", - "w orth", - "ĠSt adium", - "Ġr ugby", - "che stra", - "os a", - "Ġst ories", - "Ġnear by", - "8 5", - "Ġm aster", - "Ġspe ed", - "ons in", - "Ġun ivers", - "Ġex cept", - "Ġa thlet", - "pt on", - "ĠSt at", - "ĠAir port", - "ĠA v", - "Ġcap ac", - "ĠCh art", - "l ers", - "Ġc orn", - "Ġhon or", - "ĠPak istan", - "om ot", - "isc onsin", - "ĠT ai", - "av en", - "ri f", - "writ er", - "b ass", - "ĠSant a", - "ĠNether lands", - "Ġparticip ated", - "Ġo il", - "ag on", - "Ġres idents", - "at ively", - "ĠC rit", - "Ġ7 0", - "Ġs aying", - "m ission", - "Ġwinn ers", - "av a", - "Ġmanag ed", - "Ġst ay", - "Ġf ellow", - "e ction", - "Ġadminist rative", - "ĠK ir", - "ĠD am", - "l ight", - "ob ile", - "Ġelect ric", - "p on", - "Ġorig in", - "b a", - "Ġcon stitu", - "ĠMed ia", - "Ġdiscover ed", - "Ġm ight", - "um ed", - "und red", - "Ġcover ed", - "rop ical", - "ĠRev olution", - "ĠProfess or", - "ĠBr ig", - "Ġren amed", - "Ġs urn", - "n s", - "or g", - "ĠInd ones", - "Ġback ground", - "Ġmunicip al", - "8 6", - "ĠW isconsin", - "Ġlik ely", - "ĠH o", - "Ġcont ra", - "d is", - "ĠCh ris", - "Ġin h", - "ĠA venue", - "Ġrec ent", - "ĠGu ard", - "Ġmusic ians", - "ĠPe ak", - "ĠR ome", - "Ġ195 1", - "Ġpar ish", - "4 4", - "Ġele ments", - "ĠC ub", - "Ġto ld", - "ig en", - "ran ge", - "qu arters", - "ac hel", - "Ġv an", - "an cy", - "Ġas ked", - "Ġg un", - "Ġ +", - "igh ter", - "Ġconstru cted", - "Ġcon fl", - "ĠPr im", - "Ġproble ms", - "ĠTechn ology", - "ĠK im", - "Ġ ult", - "Ġfinal ly", - "ow a", - "7 6", - "ĠS us", - "Ġhe art", - "ĠS her", - "Ġle ave", - "Ġo ur", - "oc ks", - "est abl", - "Ġn ature", - "emet ery", - "Ġneigh bor", - "ir med", - "ĠP ers", - "ke e", - "Ġpro gress", - "Ġprodu cts", - "ĠMus lim", - "ĠCamb ridge", - "ĠL i", - "Ġth r", - "Ġp ick", - "ctor al", - "we gian", - "Ġhe re", - "or ation", - "ĠInd ust", - "ot o", - "Ġimp act", - "Ġnear ly", - "ĠFore st", - "Ġdr ug", - "Ġp aper", - "ĠDu ke", - "ĠB ishop", - "Ġc ause", - "5 5", - "Ġp age", - "Ġen ough", - "Ġp ath", - "g ing", - "Ġw anted", - "ĠL ady", - "Ġsub s", - "m et", - "Ġde ad", - "am ber", - "Ġmedal ists", - "w ick", - "ĠSl ov", - "per ial", - "ĠLeg isl", - "r im", - "Ġreve aled", - "ap ed", - "Ġarchite cture", - "ĠEx p", - "ĠP u", - "Ġra ces", - "ric t", - "ĠC a", - "Ġne cess", - "Ġch ampion", - "Ġsec urity", - "n ic", - "s s", - "ĠCommun ity", - "ist ance", - "Ġdirect ly", - "ens ity", - "Ġsol o", - "ĠSt r", - "g et", - "Ġv oice", - "ĠWil son", - "3 2", - "Ġp it", - "epend ence", - "ins on", - "ĠPro ject", - "Ġadd ress", - "Ġsus p", - "ĠS ab", - "ĠP ower", - "orn ing", - "ĠAdm inist", - "Ġl ives", - "Ġan cient", - "Ġlead ers", - "Ġ193 6", - "Ġminist er", - "ĠCorpor ation", - "Ġoffic ially", - "Ġincre asing", - "Ġcy cl", - "Ġproject s", - "ĠCol on", - "ĠMed ical", - "ĠMar g", - "L e", - "l iving", - "Ġdis play", - "Ġprim arily", - "Ġr ural", - "ad ing", - "ĠBar b", - "Ġadminist ration", - "en ge", - "9 4", - "van ced", - "ou d", - "Ġcondu cted", - "Ġinit i", - "Ġfriend s", - "Ġlevel s", - "ĠH ay", - "ang a", - "roll ed", - "Ġpos itive", - "en ing", - "Ġs port", - "Ġmount ain", - "ens is", - "e cted", - "ĠD ar", - "ĠNor wegian", - "Ġc ard", - "ĠSwed en", - "S S", - "ĠF air", - "Ġch ap", - "ĠI ra", - "in ity", - "Ġl y", - "i at", - "ĠM oh", - "ĠF ire", - "ĠL t", - "Ġinit ial", - "yd ro", - "ĠV ideo", - "ĠSh ort", - "ul ly", - "Ġacadem ic", - "ĠIndian a", - "ĠGold en", - "uc ky", - "Ġp an", - "ĠF le", - "Ġ9 0", - "e en", - "Ġp p", - "ĠMount ain", - "ĠW inn", - "Ġf irm", - "ĠM un", - "ak i", - "Ġch annel", - "Ġdis p", - "ĠBibl iography", - "Ġs ources", - "Ġrepl ace", - "bo ok", - "ĠWin ter", - "Ġwho le", - "ĠAr thur", - "Ġlist ing", - "Ġwork ers", - "Ġ193 8", - "ĠSc iences", - "Ġlet ter", - "cript ion", - "Ġnum bers", - "ĠR ad", - "ribut ed", - "ĠN iger", - "Ġconsid er", - "ĠAl f", - "ĠPl ace", - "Ġm ic", - "Ġval ue", - "ĠDes ign", - "ĠRe view", - "ĠB udd", - "Ġde ep", - "ĠS u", - "L A", - "Ġlaw s", - "ur ches", - "ĠH u", - "em y", - "ed om", - "ĠK ansas", - "ant a", - "ĠAl so", - "Ġliter ature", - "Ġwhe ther", - "Ġremov ed", - "th ing", - "ĠL ive", - "Ġ19 18", - "g al", - "he im", - "Ġs al", - "ĠMar ia", - "Ġwith d", - "A l", - "Ġded icated", - "el d", - "i est", - "ĠGe ography", - "ĠCap tain", - "ĠU s", - "port un", - "ert o", - "ĠDe p", - "Ġsy n", - "Ġg rew", - "ony m", - "Ġd omin", - "Ġw ords", - "ĠBar on", - "F F", - "Ġplann ed", - "ĠPopul ated", - "ĠPolit ical", - "r ical", - "Ġst ars", - "ĠJun ior", - "ĠRes ults", - "7 8", - "Ġnot able", - "Ġeffect s", - "ĠUS A", - "Ġsh are", - "je cted", - "ĠU t", - "Ġk ind", - "it ter", - "e z", - "ic ed", - "Ġr ule", - "ĠMiss ouri", - "p resent", - "Ġd ark", - "E C", - "Ġcomp uter", - "Ġp iano", - "Ġorder ed", - "ĠTay lor", - "Ġreg ist", - "Ġsettle ment", - "ath an", - "ĠM aster", - "resp ond", - "ĠH an", - "Ġprom inent", - "ik a", - "M A", - "Ġsp read", - "ĠR ugby", - "Ġcontin ue", - "ĠB ridge", - "is hes", - "ĠP it", - "ĠColor ado", - "reg on", - "y al", - "Ġrec over", - "ab les", - "rest ling", - "Ġref le", - "ĠFranc is", - "Ġun s", - "res h", - "se x", - "ell er", - "ĠE P", - "ag ing", - "Ġv ac", - "O S", - "Ġ3 4", - "Ġvot es", - "for ce", - "Ġsc ene", - "Ġfollow s", - "Ġwe ap", - "Ġdire ction", - "tern et", - "il ton", - "6 6", - "g reg", - "ĠSte ve", - "ĠR em", - "ist ed", - "Ġmix ed", - "Ġto uch", - "Ġb ranch", - "Ġhost ed", - "Ġext ra", - "ĠCon ne", - "Ġd igital", - "Ġg as", - "Ġre form", - "Ġl anguages", - "ĠW alk", - "Ġg reen", - "Ġart icles", - "Ġrul es", - "Ġpot ential", - "Ġ193 7", - "Ġim plement", - "Ġre ason", - "hen s", - "Ġint ended", - "Ġp urs", - "Ġill ust", - "ĠStud ies", - "Ġcons erv", - "en es", - "g n", - "hem at", - "Ġn ation", - "Ġan g", - "z ona", - "enn a", - "ĠRepresent atives", - "Ġhistor ic", - "Ġ era", - "3 9", - "ĠCast le", - "ĠC irc", - "y ard", - "ĠL ind", - "ĠE arl", - "Ġtri al", - "ul ated", - "Ġdiv ided", - "ĠG ree", - "Ġcapac ity", - "Ġide a", - "ĠM ember", - "Ġ ut", - "ĠN az", - "g rad", - "Ġcol or", - "Ġfor ward", - "ropol itan", - "Ġt al", - "Ġtit led", - "ograph ic", - "n ce", - "Ġrespect ively", - "Ġfl oor", - "Ġdestroy ed", - "Ġtit les", - "Ġtreat ment", - "Ġs oc", - "ĠO regon", - "ol es", - "ĠJ os", - "Ġass igned", - "ĠK al", - "ĠMar sh", - "Ġengine er", - "ĠK el", - "Ġ6 4", - "20 10", - "it led", - "ĠF e", - "Ġtown s", - "7 7", - "g g", - "ill ery", - "ur d", - "ĠTur key", - "ĠWar s", - "ĠMal ays", - "ĠP ier", - "Ġin side", - "Ġp arliament", - "or al", - "ap ore", - "ĠFred er", - "ĠH al", - "ĠR om", - "ly n", - "k h", - "ĠZ h", - "Ġag ric", - "ix ed", - "% )", - "Ġbas is", - "Ġd ance", - "Ġactiv ity", - "6 5", - "Ġsem i", - "Ġnov els", - "Ġre pe", - "and on", - "Ġcompos er", - "Ġbeh av", - "200 7", - "Ġun known", - "Ġreview s", - "Ġsit es", - "ĠE th", - "Ġ. ..", - "ĠBrazil ian", - "ĠComm and", - "Ġc ounter", - "re al", - "c ow", - "iv ity", - "Ġgrow th", - "b ec", - "Ġcle ar", - "Ġst reet", - "ĠDav is", - "Ġcont rovers", - "Ġmet al", - "ĠCon f", - "Ġfem ales", - "ĠP ass", - "b u", - "M S", - "Ġeffort s", - "Ġpurch ased", - "Ġp al", - "Ġpl ants", - "Ġbecom es", - "ennes see", - "b ell", - "Ġmov ing", - "Ġp et", - "Ġup per", - "ĠBro ok", - "ĠCon c", - "ĠAtl antic", - "ear s", - "Ġcont est", - "Ġprodu ce", - "iz es", - "ĠCount ry", - "Ġfe el", - "ĠSt and", - "ast y", - "ĠT al", - "ĠBe ach", - "ĠC re", - "ĠB all", - "Ġfac ilities", - "Ġl ies", - "ĠAri zona", - "a ud", - "ĠG reg", - "un ct", - "em an", - "Ġquest ion", - "ĠPhilipp ines", - "Ġcer em", - "ĠT a", - "ian t", - "it o", - "200 9", - "ĠN ic", - "ad ed", - "Ġtyp es", - "Ġequip ment", - "ĠFore ign", - "Ġcapt ured", - "I A", - "ĠF ree", - "Ġprodu ct", - "f ort", - "Ġsmall er", - "Ġatt end", - "est ic", - "Ġquick ly", - "Ġst ore", - "Ġy et", - "ĠK r", - "b ro", - "w ater", - "Ġhigh ly", - "200 0", - "e k", - "Ġle aves", - "ĠSe ver", - "Ġcont act", - "Ġcitiz ens", - "Ġ5 00", - "ĠS on", - "ar p", - "ound ed", - "Ġform at", - "b les", - "Ġdocument ary", - "Ġ4 4", - "Ġest ate", - "ast ic", - "st yle", - "ĠT ennessee", - "Ġimmedi ately", - "Ġ( ;", - "ĠLe on", - "ren ce", - "Ġorgan ized", - "if orm", - "Ġaccept ed", - "Ġs umm", - "ĠMar c", - "Ġg re", - "b ed", - "ed ia", - "k in", - "ipl om", - "w atch", - "Ġop portun", - "ĠNor way", - "j an", - "Ġcon ver", - "ĠM as", - "a ug", - "20 11", - "ef e", - "ĠS ri", - "Ġm ax", - "Ġown er", - "ul ed", - "Ġcon ference", - "Ġfl ight", - "Ġr at", - "ĠC as", - "ian g", - "s ky", - "ur er", - "Ġ193 5", - "ĠN etwork", - "Ġ19 19", - "Ġphys ical", - "Ġfav or", - "Ġfac ulty", - "Ġro les", - "200 6", - "g ers", - "o is", - "200 8", - "Ġst ra", - "Ġsy mb", - "Ġaut om", - "Ġb ronze", - "er c", - "Ġdecl ared", - "ĠMary land", - "amb ig", - "Ġconf irmed", - "Ġsoft ware", - "se y", - "am i", - "ĠC ra", - "ĠS av", - "Ġmot or", - "Ġte acher", - "Ġchar ge", - "Ġre ach", - "ol n", - "Ġcommon ly", - "ĠUk raine", - "Ġpos itions", - "ann a", - "Ġaff ili", - "Ġg overnor", - "Ġ19 14", - "Ġhous ing", - "Ġoper ating", - "ĠHigh way", - "Ġv s", - "ĠO d", - "Ġ3 3", - "eat her", - "ĠB at", - "ĠBe fore", - "Ġprogram ming", - "Ġper man", - "Ġbe at", - "im al", - "Ġh tt", - "Ġstre ng", - "ĠIra q", - "U n", - "ĠS ources", - "Ġele v", - "am in", - "ce st", - "Ġcomp ared", - "r ate", - "ĠFor mer", - "Ġcom es", - "h at", - "ĠBack ground", - "ĠSing apore", - "Ġterrit ory", - "ĠFed eration", - "are t", - "Ġab ility", - "ĠMod ern", - "Ġagre ement", - "Ġd istricts", - "b s", - "Ġcom ment", - "Ġtarg et", - "ĠK l", - "CA A", - "Ġst one", - "Ġ19 10", - "ĠM emorial", - "Ġfound er", - "ĠR oss", - "ĠL iter", - "Ġw a", - "Ġp op", - "ĠDe c", - "Ġsw im", - "ellig ence", - "Ġ19 17", - "Ġg iving", - "ag a", - "ĠD or", - "Ġagre ed", - "ĠF ox", - "Ġatt ention", - "ĠCh ile", - "Ġmod els", - "ar c", - "Ġappro ach", - "Ġengine ering", - "5 8", - "Ġn ucle", - "9 3", - "inc ial", - "vent h", - "ĠH or", - "Ġcamp us", - "ĠO cean", - "ĠS ound", - "S P", - "Ġpe ace", - "ĠE ach", - "m ad", - "west ern", - "igh th", - "du ce", - "Ġlead ership", - "Ġinstitut ions", - "Ġw alk", - "Ġatt ra", - "Ġc ars", - "od ies", - "S C", - "ap h", - "Ġl if", - "Ġap art", - "ript ion", - "Ġ192 8", - "Ġy ards", - "Ġest imated", - "Ġel im", - "z o", - "ĠB ru", - "igr ants", - "ol i", - "Ġse ats", - "Ġth ink", - "Ġoccur red", - "Ġbl ood", - "ĠR en", - "un te", - "Ġw ing", - "ĠW at", - "ambig uation", - "op her", - "ĠD iv", - "ĠEnter tain", - "ĠH art", - "ĠS port", - "Ġg ained", - "ad er", - "200 5", - "Ġneed ed", - "ot i", - "Ġch airman", - "Ġmed ian", - "ĠPhil ip", - "Ġ x", - "Ġact ing", - "ĠF a", - "ĠLew is", - "Ġsuffer ed", - "Ġcon clud", - "Ġdise ase", - "Ġfig ure", - "Ġadop ted", - "Ġrec on", - "Ġb ad", - "ĠB os", - "ĠMel bourne", - "Ġfl ag", - "Ġ192 9", - "Ġs ens", - "Ġcr ime", - "in us", - "Ġc oin", - "ed er", - "we alth", - "Ġdist ribution", - "Ġserv es", - "ĠT s", - "5 00", - "ĠMos cow", - "ĠT en", - "Ġst ream", - "Ġp oll", - "Ġent er", - "it ness", - "Ġf ell", - "ul s", - "Ġan alysis", - "H L", - "ĠPro duction", - "rain ian", - "Ġcomb ined", - "im inal", - "l ah", - "Ġcomm ittee", - "Ġjournal ist", - "' ,", - "s pe", - "Ġ3 8", - "ĠT est", - "ans ion", - "Ġcont ent", - "Ġcor respond", - "Ġj oint", - "T A", - "ĠAb b", - "ag h", - "or ter", - "ĠSe ason", - "Ġqu ality", - "Ġcan cer", - "Ġv ess", - "Ġpre c", - "20 12", - "200 4", - "ing ham", - "Ġ193 3", - "Ġpolit ics", - "ĠSt ock", - "y es", - "Ġres ident", - "Ġ193 4", - "ĠCro at", - "or ph", - "anc ing", - "Ġra re", - "ĠSpr ing", - "S h", - "ost er", - "ĠAb d", - "Ġcont emporary", - "ĠEngine ering", - "Ġproble m", - "ugu ese", - "ol id", - "ast ers", - "Ġ urban", - "Ġperforman ces", - "Ġtyp ically", - "A n", - "Ġh abit", - "y ond", - "al o", - "ĠR ound", - "p et", - "Ġret ire", - "pl ace", - "Ġmention ed", - "eth ing", - "Ġofficial s", - "l aw", - "Ġnomin ated", - "ĠHe art", - "Ġb ig", - "Ġindust rial", - "9 1", - "Ġcom ing", - "Ġun c", - "ib ly", - "ĠH ard", - "ash ion", - "ĠB on", - "Ġh undred", - "Ġf iction", - "id i", - "w orks", - "Ġpres ence", - "Ġl abor", - "ov i", - "ĠTurk ish", - "Ġbl ue", - "ĠQueens land", - "ĠKh an", - "ĠV o", - "p ass", - "Ġeduc ated", - "ant e", - "9 2", - "it i", - "w ing", - "Ġex c", - "g ar", - "Ġh or", - "20 13", - "ir al", - "ĠJew s", - "ĠH ou", - "ol ved", - "v ard", - "Ġf ast", - "l i", - "id ers", - "is a", - "ĠAdd ition", - "V ID", - "Ġpr in", - "il ing", - "ic ian", - "ĠB alt", - "Ġcol umn", - "hed ral", - "Ġco al", - "g i", - "Ġlarg ely", - "Ġresult ed", - "dis ambiguation", - "Ġrecogn ized", - "osoph y", - "ot ed", - "Ġprob ably", - "ĠI owa", - "ĠAust ria", - "m outh", - "Ġe c", - "Ġ ir", - "ak s", - "ĠG il", - "ĠAr k", - "ĠCommon wealth", - "for mer", - "Ġab andon", - "Ġ192 4", - "Ġb oy", - "Ġdam age", - "d a", - "Ġres erv", - "ĠR ang", - "p son", - "Ġm iles", - "Ġcon cent", - "ĠKent ucky", - "Ġh op", - "ĠBro ther", - "os en", - "ĠO t", - "Ġbur ied", - "ĠE c", - "Ġc ab", - "u ate", - "Ġpaint ing", - "Ġschol ar", - "ĠD own", - "ĠB ah", - "v o", - "ĠC ab", - "Ġc am", - "ĠSports people", - "Ġwid ely", - "act er", - "Ġsc oring", - "G B", - "Ġexp anded", - "5 6", - "Ġc ode", - "Ġ19 00", - "Ġvill ages", - "z h", - "Ġar ts", - "Ġex pected", - "Ġrank ed", - "ol is", - "Ġ193 2", - "Ġ3 7", - "Ġsex ual", - "ĠEntertain ment", - "Ġclass ical", - "Ġsports people", - "Ġb ra", - "ĠSquad ron", - "ĠK itt", - "Ġnew ly", - "Ġrec omm", - "Ġident ified", - "ĠHar ry", - "Ġm m", - "Ġcrit ical", - "Ġf elt", - "Ġgr anted", - "Ġm ill", - "Ġdef end", - "ĠAre a", - "oc ese", - "iqu es", - "ar o", - "ĠC ape", - "Ġp ict", - "u i", - "form ed", - "ain e", - "cl es", - "Ġse arch", - "ĠWal ter", - "Ġsecond ary", - "ĠBel g", - "Ġ rom", - "Ġf ish", - "Ġad apt", - "Ġsqu are", - "ĠH ur", - "ĠManag ement", - "ĠT ony", - "ĠD anish", - "ĠG i", - "Ġcou ple", - "Ġdr ums", - "Ġstar ring", - "Ġal le", - "m itted", - "ro g", - "us ion", - "ĠL ike", - "Ġlos ing", - "Ġb illion", - "Ġwe ight", - "Ġconc ert", - "20 14", - "k es", - "se ason", - "ĠSw iss", - "l ast", - "Ġs ales", - "Ġt aught", - "t ing", - "il ation", - "Ġcre ation", - "Ġcond ition", - "Ġre duced", - "Ġm ess", - "ett ing", - "ĠViet nam", - "ĠN ick", - "Ġco aches", - "Ġdist ance", - "Ġthe atre", - "vi ation", - "Ġcomm ander", - "Ġpress ure", - "8 7", - "Ġresult ing", - "Ġw ild", - "Ġ192 7", - "Ġb al", - "Ġpre mier", - "or ship", - "Ġthere fore", - "Ġoff ers", - "ĠCO VID", - "0 5", - "ĠR on", - "itz erland", - "i ot", - "ĠInf antry", - "ĠProfess ional", - "ĠPort uguese", - "S T", - "Ġcap tain", - "200 3", - "ĠG ord", - "ĠRec ord", - "cl aim", - "ĠReg ional", - "Ġinstr ument", - "ĠS ix", - "Ġlo an", - "oc ated", - "ĠTh rough", - "ĠT an", - "Ġ19 12", - "p ur", - "Ġsp ons", - "4 1", - "ĠAm ong", - "Ġsec ret", - "20 15", - "ĠSim on", - "ĠUk rainian", - "ĠA st", - "ĠB eng", - "ĠSe le", - "Ġt im", - "ĠT reat", - "m es", - "Ġtw ice", - "Ġauthor ities", - "ĠAl b", - "ĠH and", - "Ġrec ently", - "al ing", - "Ġarrest ed", - "ĠF inn", - "Ġsurn ame", - "V D", - "Ġ193 1", - "4 2", - "ad s", - "Ġstr ugg", - "ict ional", - "orn ey", - "h o", - "ĠN ik", - "Ġyoung er", - "Ġform ation", - "p a", - "I C", - "ĠN CAA", - "Ġpre p", - "Ġinj ury", - "ord in", - "Ġbeg ins", - "ĠL abor", - "um es", - "ĠAr men", - "i pe", - "Ġformer ly", - "Ġ192 2", - "ĠBul g", - "Ġra cing", - "ym n", - "0 7", - "Ġatt acks", - "Ġg raph", - "ĠH ans", - "ĠD rag", - "Ġvers ions", - "Ġw all", - "ĠGree ce", - "m iss", - "ĠI l", - "lah oma", - "ĠSt aff", - "0 6", - "Ġfin ish", - "ĠIsrael i", - "ĠAff airs", - "ĠPl an", - "Ġth ous", - "Ġsurround ing", - "Ġprov iding", - "ĠG er", - "ĠAn ne", - "ĠArch ite", - "Ġcrit ics", - "ĠPh ys", - "ay er", - "ĠSpace watch", - "Ġrest aur", - "Ġdis establ", - "b ra", - "os is", - "Ġc e", - "Ġser ious", - "0 8", - "m ont", - "re ll", - "ĠA ud", - "ĠRe al", - "Ġ192 1", - "ĠTok yo", - "ĠAl i", - "Ġvoc al", - "200 1", - "Ġt ree", - "Ġpat tern", - "as ion", - "Ġknow ledge", - "ĠBill board", - "p ool", - "ĠMill er", - "Ġ192 5", - "b i", - "ĠBe c", - "Ġshow ed", - "ĠK at", - "T C", - "ĠTr ust", - "Ġob tained", - "Ġstat istics", - "Ġc arri", - "ĠJac ob", - "Ġspl it", - "ĠN ap", - "Ġreg ions", - "Ġinte g", - "Ġ192 6", - "ann ing", - "ĠBet ween", - "og ue", - "ĠG ab", - "Ġp aid", - "ĠOr iginal", - "Ġrece ive", - "ain ts", - "ĠSw itzerland", - "ĠD omin", - "Ġl ibrary", - "inc oln", - "Ġtra ins", - "iv als", - "ĠMan chester", - "ograp her", - "g ro", - "ĠHol y", - "ĠP ict", - "ĠTh ird", - "ĠAl ab", - "Ġb ow", - "Ġf estival", - "ĠJan e", - "ru it", - "ĠEm peror", - "ĠAnd erson", - "Ġpro pos", - "p ri", - "or i", - "ĠSen ior", - "Ġnot es", - "ĠChrist mas", - "Ġc ells", - "ug al", - "Ġdesign ated", - "ĠOk lahoma", - "ĠBuild ings", - "Ġsp ring", - "og s", - "ĠServ ices", - "l ines", - "Ġn et", - "Ġsup pl", - "in y", - "Ġp ack", - "ĠR a", - "ill er", - "Ġl iber", - "ĠF ac", - "ĠCh ampions", - "20 16", - "Ġmay or", - "Ġim age", - "Ġke pt", - "Ġsugg ested", - "el ine", - "m un", - "Ġmark ed", - "ĠB rian", - "Ġclaim s", - "ific ations", - "Ġtw enty", - "Ġlaun ch", - "Ġtr ue", - "ĠT urn", - "ous es", - "Ġmanag ers", - "Ġreg ul", - "ĠPro te", - "ic ians", - "ĠK am", - "Ġh y", - "ĠB arn", - "Ġd ial", - "f ef", - "ĠA le", - "Ġconfl ict", - "Ġveh icles", - "Ġpain ter", - "ĠChild ren", - "ĠL ar", - "Ġent ry", - "Ġinsp ired", - "ĠLem mon", - "Ġfig ures", - "200 2", - "Ġ192 3", - "Ġh all", - "ĠP oint", - "Ġsp irit", - "Ġre ports", - "Ġ19 16", - "Ġexper iment", - "ate ur", - "4 9", - "Ġsup ply", - "ĠD ue", - "Ġm ales", - "Ġsix th", - "Ġhead quarters", - "ĠN aval", - "Ġb ott", - "ĠFr ont", - "and y", - "ĠRe ception", - "Ġro yal", - "Ġcontin ues", - "Ġconne cted", - "1 00", - "ĠMc G", - "ro om", - "Ġw ins", - "ĠF ord", - "Ġsh op", - "Ġtra ffic", - "Ġd ensity", - "Ġg ives", - "ĠF il", - "ubl in", - "8 9", - "oot h", - "ĠK y", - "4 3", - "Ġport ray", - "N ew", - "ĠR un", - "ĠPr in", - "Ġ19 15", - "fef efe", - "qu es", - "Ġsl ight", - "ch a", - "ri p", - "Ġjud ge", - "Ġmaterial s", - "Ġact ually", - "Ġn ortheast", - "Ġthem e", - "ly wood", - "al so", - "ok ing", - "E R", - "Ġpart ner", - "Ġa im", - "Ġ7 5", - "; \"|", - "20 17", - "oth s", - "Ġop position", - "Ġcomp on", - "ĠP op", - "rat or", - "ĠAlab ama", - "ĠLab our", - "ĠHow ard", - "Ġpromot ion", - "Ġsucceed ed", - "Ġpur pose", - "Ġcl imate", - "ĠBas ketball", - "ĠAlbum s", - "ĠL ow", - "ol ished", - "u ous", - "ĠR ose", - "r in", - "ene z", - "ĠF ame", - "ĠL incoln", - "Ġte aching", - "ĠI V", - "ro it", - "Ġgre ater", - "ĠHam ilton", - "ĠE ric", - "ĠSing les", - "v ens", - "ĠN ative", - "Ġtri ed", - "ĠL ieutenant", - "Ġcompet itions", - "Ġet c", - "6 7", - "Ġfac ility", - "A A", - "ĠPl ot", - "ĠB attalion", - "ĠT el", - "l an", - "Ġallow ing", - "ional ly", - "l ife", - "ĠMiss iss", - "Ġb att", - "b ot", - "ĠB urn", - "ĠSur vey", - "Ġt alk", - "Ġpres erv", - "Ġs ays", - "ĠAust rian", - "ĠDou gl", - "off s", - "ĠK az", - "ĠY outh", - "0 1", - "Ġmusic ian", - "ĠN ich", - "ecut ive", - "ĠS n", - "ĠMar ine", - "Ġacc ident", - "ag u", - "ik h", - "hes s", - "Ġ4 2", - "Ġc ert", - "ĠFor ces", - "Ġsc ript", - "Ġvis it", - "wh ich", - "ipp i", - "ed ing", - "Ġhistor ian", - "e ast", - "Ġto wer", - "Ġsing ers", - "Ġpublic ation", - "Ġscient ific", - "ur ance", - "Ġt ells", - "Ġ @", - "ĠCh annel", - "ĠMount ains", - "Ġcan not", - "u v", - "ĠDes cription", - "ord an", - "Ġreturn ing", - "Ġgrow ing", - "Ġexist ing", - "ĠExp atriate", - "Ġf ully", - "ĠLoc al", - "ctic ut", - "ĠHar vard", - "achel or", - "ĠBuild ing", - "ĠArgent ina", - "Ġp le", - "Ġappl ied", - "Ġsl ow", - "Ġp air", - "ure au", - "Ġle tt", - "Ġsit uation", - "Ġal one", - "ĠCur rent", - "ad i", - "Ġm om", - "ut her", - "20 18", - "ĠHon or", - "Ġall ows", - "rel ated", - "st ic", - "Ġmag n", - "id ge", - "Ġa ired", - "ĠTem ple", - "olog ists", - "Ġmet res", - "Ġd raft", - "Ġop pos", - "Ġsp ot", - "ĠC ost", - "ĠN ow", - "d am", - "ĠPri x", - "st an", - "Ġfight ing", - "ĠW olf", - "in th", - "ĠD om", - "ĠM it", - "f inals", - "ist ry", - "Ġm ut", - "ĠR oll", - "ĠG ram", - "5 7", - "Ġy ellow", - "Ġc art", - "is er", - "ĠPro t", - "ĠMor ris", - "Ġd iplom", - "' .", - "w ich", - "Ġmeas ure", - "ard o", - "Ġsit uated", - "D on", - "Ġs uit", - "Ġun ique", - "Ġm ap", - "ial s", - "Ġ19 13", - "ĠA uthor", - "Ġsaf ety", - "ĠConne cticut", - "ĠSt one", - "Ġs ons", - "Ġbrother s", - "ĠAnth ony", - "20 19", - "Ġpr int", - "ast e", - "Ġad vanced", - "ĠL as", - "ĠJ am", - "Ġw ant", - "Ġe arth", - "Ġmain tain", - "Ġhe av", - "ol as", - "ĠHistor ical", - "ĠN ag", - "or gan", - "Ġgu est", - "clud ing", - "Ġfe et", - "ingu ished", - "ĠL ank", - "ĠSec urity", - "ĠCol omb", - "ĠB rand", - "igen ous", - "ĠJ ay", - "Ġold est", - "Ġag ent", - "ĠPat rick", - "eral d", - "ch i", - "ĠTai wan", - "Ġhand s", - "Ġclass es", - "on om", - "ĠSt ory", - "ĠQue bec", - "at al", - "out s", - "ĠSil ver", - "ell o", - "est er", - "ĠK arl", - "Ġs ides", - "h ol", - "Ġb ill", - "Ġly rics", - "ĠN FL", - "s ort", - "Ġchart s", - "c ont", - "ĠD ur", - "Ġfl ood", - "ĠSund ay", - "ĠW ell", - "ant on", - "ĠC ulture", - "Ġgo es", - "Ġnar row", - "Ġth ings", - "Ġv ice", - "ĠEr n", - "Ġl ot", - "ĠN a", - "ĠMag azine", - "ĠJu an", - "Ġh orse", - "ĠR ural", - "Ġch osen", - "j oy", - "Ġp un", - "ĠT ar", - "ĠL in", - "inem a", - "Ġg all", - "ĠV is", - "Ġar ms", - "Ġme ant", - "at us", - "6 8", - "ĠP ot", - "Ġset s", - "Ġloc omot", - "Ġtem ple", - "os lav", - "Ġex change", - "im ens", - "ĠC ensus", - "ĠN on", - "ress ion", - "ĠBec ause", - "ĠHou ston", - "Ġr isk", - "ĠW y", - "d ied", - "Ġcor por", - "ĠH un", - "Ġe as", - "ĠH amp", - "ĠLouis iana", - "Ġs ail", - "Ġth ir", - "ĠBrig ade", - "Ġport ion", - "Ġcommission ed", - "Ġpro ceed", - "z z", - "y ers", - "Ġal t", - "ĠDie go", - "ĠN Y", - "Ġsugg est", - "ĠLiber al", - "z en", - "Ġchall eng", - "h r", - "val ue", - "Ġb ought", - "Ġprincip al", - "Ġauthor ity", - "Ġ19 11", - "ra it", - "ig ration", - "Ġn ob", - "Ġro ll", - "l ades", - "Ġf olk", - "ĠF ellow", - "ĠT un", - "Ġcomplet ely", - "Ġneighbor hood", - "Ġachie ved", - "Ġs outheast", - "Ġanim als", - "ĠAll en", - "Ġre ference", - "Ġhold s", - "Ġcust om", - "ĠBelg ium", - "ĠLt d", - "el ve", - "ĠD ream", - "ĠSever al", - "ĠCh all", - "ĠH ockey", - "ĠAb out", - "Ġgl obal", - "pect s", - "ĠC emetery", - "ĠR ace", - "199 9", - "Ġref used", - "d es", - "Ġprote ction", - "bo x", - "ĠV in", - "S e", - "ĠK u", - "ĠPu erto", - "am ing", - "ĠTod ay", - "Ġexhib ition", - "ĠB ry", - "ag er", - "und er", - "o es", - "uc cess", - "Ġappro ved", - "ĠAmerican s", - "Ġattempt ed", - "5 1", - "Ġrap id", - "j o", - "Ġint ers", - "Ġ4 8", - "ĠS in", - "au x", - "ĠV ice", - "Ġcont ain", - "Ġveh icle", - "Ġsett led", - "Ġt ennis", - "Ġsoc cer", - "Ġsy m", - "Ġf ans", - "Ġa ctions", - "ĠP ap", - "Ġcre ating", - "ĠG ib", - "ĠGord on", - "ĠHung arian", - "Ġad vert", - "Ġ4 1", - "ĠDet roit", - "Ġl ake", - "Ġvis ited", - "ĠDougl as", - "6 4", - "Ġdef ined", - "ĠLegisl ative", - "if ically", - "Ġend ing", - "ĠPort ugal", - "ind er", - "Ġnecess ary", - "ĠAnton io", - "Ġcomb at", - "ress ed", - "Ġf air", - "iam i", - "pr ise", - "Ġattack ed", - "I T", - "ĠTer rit", - "c ar", - "rid ges", - "ĠDen mark", - "iv a", - "ag en", - "ĠHer itage", - "ĠP ed", - "ivers ary", - "Ġpil ot", - "S R", - "are n", - "Ġsim ply", - "ac hers", - "Ġrece iving", - "ĠPlay er", - "ĠMississ ippi", - "Ġaud ience", - "b ar", - "Ġ190 8", - "Ġconsist ed", - "Ġcont aining", - "ĠS el", - "t i", - "Ġag ed", - "Ġoper a", - "Ġadv ance", - "ur i", - "Ġres ources", - "Ġst orm", - "Ġfound ing", - "Ġun able", - "um a", - "ĠN ar", - "Ġdirect ors", - "ou red", - "ĠBang lades", - "ĠA D", - "ĠT rib", - "ĠIslam ic", - "Ġmethod s", - "ĠM and", - "Ġrepresent ative", - "ĠO ak", - "secut ive", - "ĠEn vironment", - "Ġexp ansion", - "Ġrepresent ing", - "Ġfl ow", - "ĠA C", - "Ġvol ume", - "Ġcons um", - "g or", - "Ġsubsequ ent", - "Ġd aily", - "Ġinh abit", - "Ġactress es", - "ĠOffic er", - "Ġloc ations", - "Ġproper ties", - "ĠFreder ick", - "ĠSam uel", - "Ġg od", - "Ġf ought", - "0 9", - "Ġattempt s", - "ag an", - "we et", - "ĠN atural", - "ĠB erg", - "Ġro of", - "Ġbro ke", - "Ġra in", - "ĠInd ependent", - "ĠAl an", - "Ġmach ine", - "gh an", - "Ġte le", - "Ġsim ple", - "ist a", - "ĠD al", - "en h", - "ĠF ern", - "Ġtre es", - "ĠS ky", - "ag ues", - "ĠEx press", - "Ġsched uled", - "ris is", - "le ts", - "Ġv ent", - "ĠR ivers", - "Ġfrequ ently", - "Ġresp ond", - "ĠIn formation", - "ĠR ab", - "ĠMus ical", - "Ġsh ared", - "p o", - "Ġb urn", - "ab ad", - "ĠB an", - "Ġretire ment", - "im ents", - "ĠPit ts", - "Ġcandid ates", - "ĠM aur", - "ile y", - "Ġw ear", - "Ġex clus", - "ĠWh it", - "Ġj azz", - "Ġop pon", - "Ġst ock", - "Ġ ;", - "in er", - "ĠR oc", - "P A", - "ĠY our", - "P S", - "5 2", - "ĠCl ark", - "ĠAnd re", - "Ġmem ory", - "5 3", - "os ed", - "Ġpie ce", - "Ġs pect", - "d on", - "Ġconver ted", - "Ġrel atively", - "an ia", - "Ġdr iver", - "Ġsom ething", - "ĠWel sh", - "a ctions", - "Ġstra ight", - "Ġch ampions", - "Ġliter ary", - "Ġpresident ial", - "Ġqual ified", - "Ġeffect ive", - "ĠPh ill", - "ĠJ ordan", - "Ġcop ies", - "Ġdef in", - "Ġg uns", - "5 4", - "ig ation", - "Ġunder st", - "us es", - "Ġm is", - "Ġwin ter", - "stitut ional", - "ĠB ird", - "Ġl it", - "ĠP un", - "ĠU N", - "l ong", - "ĠL I", - "ĠD h", - "ĠK a", - "ĠEx ecutive", - "Ġch urches", - "Ġ3 00", - "ie val", - "Ġm orning", - "Ġdr ive", - "Ġult imately", - "enn y", - "ĠAl ban", - "Ġinc ident", - "ip ients", - "n i", - "op ter", - "ĠB ou", - "ĠDo ctor", - "o en", - "Ġin aug", - "Ġgirl s", - "r um", - "ĠIndones ia", - "Ġfoc used", - "ĠIn ternet", - "Ġapp oint", - "Ġdrop ped", - "ĠA ge", - "Ġpol ic", - "Ġtr ust", - "Ġdom estic", - "Ġres c", - "Ġoccup ied", - "ĠHot el", - "Ġdef ense", - "Ġc overs", - "Ġend s", - "8 4", - "ĠG ard", - "Ġf aced", - "ĠM iami", - "ud i", - "ĠVill age", - "Ġperform ing", - "in burgh", - "ent ed", - "g ment", - "Ġshort ly", - "ĠComp et", - "Ġneg oti", - "ĠL am", - "ĠE ag", - "Ġcateg ory", - "Ġr ang", - "ĠC ricket", - "Ġent itled", - "Ġprof ile", - "ĠBo x", - "od ox", - "ĠSchool s", - "f all", - "Ġalle ged", - "ph as", - "ĠSqu are", - "ĠAdminist ration", - "o a", - "az a", - "l ad", - "Ġrecogn ition", - "ĠC ultural", - "ord ers", - "Ġ4 6", - "Ġcon secutive", - "w ise", - "Ġop posed", - "A M", - "0 4", - "U S", - "Ġre ar", - "ĠD ave", - "Ġa st", - "ĠU C", - "Ġch o", - "Ġse em", - "an es", - "ig e", - "Ġh arm", - "Ġprot est", - "ĠPri or", - "ĠPal est", - "stru cture", - "al ty", - "ĠF und", - "Ġ iron", - "ĠK ey", - "Ġsett ing", - "Ġcons ult", - "Ġtouch down", - "Ġ4 3", - "ĠC all", - "Ġdec or", - "ĠVill ages", - "Ġlearn ing", - "ĠIm perial", - "ĠK er", - "ĠD ak", - "ffic ient", - "og en", - "Ġin ternal", - "ik i", - "Ġident ity", - "ĠD ublin", - "199 8", - "ĠAcadem ic", - "ud get", - "ĠB ureau", - "Ġhe ight", - "Ġs um", - "Ġkill ing", - "Ġinvestig ation", - "or ough", - "ĠP ope", - "ĠF arm", - "p ret", - "Ġmic ro", - "Ġact s", - "Ġperman ent", - "ful ly", - "Ġmax imum", - "Ġ189 0", - "ĠOr th", - "Ġair port", - "aw n", - "ĠL anc", - "o ok", - "7 2", - "Ġpre par", - "ĠBudd h", - "en z", - "Ġgu ard", - "ĠD a", - "l ov", - "Ġb ul", - "d ale", - "Ġcon vers", - "Ġcontribut ed", - "Ġemploy ed", - "st ream", - "B l", - "ĠAthlet ics", - "Ġfield s", - "Ġ4 00", - "Ġhot el", - "ĠM ach", - "ĠPro f", - "Ġappl ication", - "ĠUp on", - "ĠOn ly", - "or ia", - "ĠMo ore", - "sc ape", - "ĠPr iv", - "Ġlett ers", - "m it", - "Ġlaw yer", - "Ġcorn er", - "20 20", - "ĠStud ios", - "ĠL ast", - "ac ent", - "\" ),", - "5 9", - "ĠI S", - "Ġhe ro", - "Ġenvironment al", - "ow nt", - "ay an", - "ĠIn n", - "Ġk il", - "ĠTam il", - "Ġ4 9", - "7 4", - "Ġnorm al", - "Ġland s", - "Ġher self", - "ĠMr s", - "Ġpaint ings", - "Ġoffic es", - "ĠArk ansas", - "ĠD ark", - "Ġinst all", - "ot te", - "g ency", - "ĠF M", - "ail and", - "ĠS ud", - "ĠT ig", - "Ġdeterm ined", - "Ġon to", - "Ġeconom y", - "Ġs ust", - "a ver", - "G en", - "Ġre in", - "ĠD all", - "Ġviol ence", - "Ġs ense", - "ĠRober ts", - "ĠSh ar", - "Ġspe ech", - "ĠC ru", - "ĠMalays ia", - "ĠM em", - "Ġcolle cted", - "Ġtechn ical", - "Ġocc urs", - "Ġestablish ment", - "Ġmult i", - "Ġvir t", - "Ġro t", - "ĠCl in", - "Ġbe gin", - "Ġsy nt", - "ĠD C", - "8 1", - "ĠV enez", - "ĠF riend", - "Ġext ensive", - "ĠC er", - "ĠAn na", - "Ġaltern ative", - "ĠL ang", - "ĠDep uty", - "red ited", - "ĠMatt hew", - "ĠEd inburgh", - "ĠGl obal", - "Ġcomp ris", - "ic ts", - "Ġcomp ar", - "ĠHaw ai", - "ap pe", - "ĠC our", - "ĠE ner", - "ĠL ith", - "199 7", - "le ep", - "ĠB art", - "Ġmer ch", - "ĠL yn", - "ĠCommun ist", - "ĠF em", - "7 9", - "6 1", - "Ġim pr", - "ĠBel gian", - "ĠBow l", - "ĠN el", - "ra c", - "Ġenc oura", - "Ġs ay", - "Ġmerg ed", - "ww w", - "at ab", - "ol o", - "Ġs an", - "p oint", - "ĠD VD", - "Ġdo ctor", - "f e", - "se ud", - "ĠSt ew", - "7 1", - "le ase", - "vel and", - "ĠG arden", - "ĠPlay ers", - "Ġj ur", - "Ġhigh way", - "Ġpower ful", - "Ġsupport ing", - "ĠSing h", - "Ġpoet ry", - "Ġstri ke", - "ĠOr chestra", - "ol y", - "ĠKe vin", - "Ġdyn asty", - "Ġarran g", - "olle y", - "ill ing", - "GB T", - "Ġse ctor", - "iss ance", - "Ġc as", - "ĠFin land", - "Ġen joy", - "d i", - "Ġav oid", - "Ġcent uries", - "Ġst adium", - "ĠG ian", - "ĠC ow", - "Ġgen eration", - "ĠComm ander", - "ĠMay or", - "Ġo x", - "Ġexpress ed", - "Ġf ranch", - "ĠR ow", - "im ore", - "ĠM oon", - "Ġ190 9", - "ĠAlf red", - "Ġgl ass", - "ĠP ra", - "ograph ical", - "Ġf ashion", - "Ġres igned", - "Ġc reat", - "ad ow", - "ĠSc ient", - "ĠT it", - "d ie", - "Ġre ign", - "ĠD ick", - "S p", - "Ġhold ing", - "Ġpartn ership", - "20 21", - "Ġ190 5", - "8 3", - "Ġcontra st", - "Ġpat ients", - "ĠDon ald", - "Ġapp arent", - "Ġmat ter", - "Ġ190 6", - "Ġp and", - "0 3", - "ĠP a", - "ĠJoh ann", - "Ġplann ing", - "Ġa uth", - "Ġbe yond", - "D e", - "Ġr ing", - "ĠH ills", - "Ġdec re", - "Ġm and", - "ren a", - "ac he", - "inc orporated", - "eng ers", - "Ġ3 9", - "oy d", - "Ġsp ok", - "Ġm arg", - "ĠSh ah", - "Ġfin ishing", - "Ġph ase", - "Ġpie ces", - "our ney", - "Ġre asons", - "Ġabandon ed", - "n ote", - "Ġcerem ony", - "Ġen emy", - "ĠPro du", - "Ġf uel", - "Ġs ought", - "r ine", - "ĠG on", - "Ġweap ons", - "ĠHon ours", - "E A", - "ĠQ ual", - "Ġind ependence", - "ry st", - "Ġneed s", - "Ġval ley", - "' '", - "ĠFootball ers", - "ĠAlex and", - "8 2", - "Ġfun ctions", - "az ines", - "Ġvis ual", - "e qu", - "ism s", - "Ġinj ured", - "Ġk ick", - "st ead", - "Ġcast le", - "ĠW he", - "Ġsuccessful ly", - "ĠH unt", - "ĠLaw rence", - "Ġfail ure", - "Ġ190 7", - "Ġjun ior", - "Ġfl u", - "s et", - "ĠAtl anta", - "Ġeduc ational", - "ĠF u", - "Ġw alls", - "ram a", - "ĠR yan", - "f ound", - "Ġbro wn", - "Ġpra ised", - "Ġsec retary", - "ĠTh ailand", - "ic ide", - "ur ation", - "ĠG ri", - "ĠMont real", - "ra f", - "olog ies", - "ĠH ug", - "ist ant", - "ĠMic ro", - "Ġst ating", - "Ġfind s", - "ĠM ale", - "ob e", - "Ġr ival", - "Ġwrit e", - "ist ers", - "ia b", - "ĠWalk er", - "Ġcr iminal", - "Ġs ac", - "ĠT ourn", - "0 2", - "ĠLa ure", - "Ġm ind", - "f r", - "ĠE ven", - "Ġconstitu ency", - "ĠR ub", - "ĠThe n", - "Ġde ploy", - "ĠAl umni", - "ĠUt ah", - "Ġim pl", - "ĠN ob", - "bor ough", - "Ġslight ly", - "rom e", - "ĠL og", - "Ġinhabit ants", - "wh ile", - "cy cl", - "Ġeth nic", - "Ġconne ction", - "ĠMunicip al", - "ĠWh at", - "re ct", - "ap ted", - "Ġinv ited", - "Ġro ugh", - "Ġt ry", - "199 6", - "ĠAg ric", - "199 0", - "ĠL iga", - "Ġregard ing", - "Ġback ing", - "og y", - "alle l", - "Ġw ays", - "ĠE nt", - "Ġinv asion", - "Ġwe alth", - "Ġfund ing", - "Ġprov ision", - "ĠF al", - "Ġs and", - "ĠL GBT", - "f rom", - "Ġref ers", - "I N", - "Ġh ydro", - "ĠK ings", - "Ġprogram me", - "Ġf resh", - "f riend", - "ĠAf ghan", - "act ive", - "ĠRel ig", - "if ul", - "ĠCle veland", - "ĠN av", - "Ġste el", - "on i", - "ĠI ce", - "ĠArgent ine", - "Ġdevelop ing", - "Ġpol y", - "6 3", - "Ġvot ed", - "199 5", - "Ġh yp", - "ul es", - "Ġder ived", - "D P", - "Ġpri est", - "Ġord ers", - "ĠMc K", - "ant asy", - "che ll", - "ĠCh ampion", - "ĠN ep", - "Ġent rance", - "Ġtown ship", - "c ome", - "Ġrelig ion", - "R C", - "Ġad ult", - "Ġh ired", - "ĠL iver", - "I t", - "ĠMP s", - "ĠPitts burgh", - "Ġpublic ations", - "Ġam b", - "ĠP as", - "Ġpass enger", - "Ġtemper ature", - "Ġadv ant", - "ĠH op", - "ĠO w", - "ĠSy m", - "ĠY ug", - "Ġpass ing", - "ĠB oys", - "r un", - "ĠP ur", - "f ather", - "Ġpremier ed", - "ĠRog er", - "fect ure", - "ĠRes erve", - "ĠSt age", - "Ġcall s", - "ĠC hem", - "ĠP rom", - "n ia", - "Ġnucle ar", - "ĠM ission", - "h ard", - "ĠMarg aret", - "and o", - "iam ond", - "ĠMet ropolitan", - "Ġ190 4", - "Ġp owers", - "Ġm el", - "Ġin stru", - "ĠD igital", - "v ements", - "Ġcaus ing", - "ĠW ard", - "ele ction", - "B I", - "or age", - "ĠE qu", - "Ġequ al", - "ĠSerb ian", - "7 3", - "Ġcl in", - "ish ops", - "ĠA M", - "ot ic", - "ĠI ron", - "ours es", - "ĠOtt oman", - "ĠG ene", - "ĠG ran", - "z er", - "Ġres erve", - "ĠRoman ian", - "ĠPet ers", - "Ġgen era", - "Ġinvol ving", - "ĠL l", - "Ġd a", - "Ġd ates", - "ĠB eat", - "6 2", - "ĠY an", - "ĠDis ney", - "ap olis", - "Ġfund s", - "ĠL et", - "Ġbo at", - "Ġem phas", - "ĠRail road", - "Ġc row", - "ĠS ac", - "Ġbas ic", - "ĠHung ary", - "ĠF el", - "Ġg ar", - "Ġesc ape", - "\" ).", - "ĠRoman ia", - "ĠJes us", - "ut ies", - "Ġpass es", - "Ġ *", - "Ġsele ction", - "ĠCom ics", - "Ġdec ades", - "ĠVenez uel", - "ĠR ick", - "us al", - "ĠF ight", - "ĠN AS", - "Ġprote ct", - "ĠM ult", - "ust er", - "Ġfle et", - "Ġconclud ed", - "Ġv o", - "Ġcont ained", - "pos es", - "ĠI mp", - "ter m", - "Ġpand emic", - "Ġv arian", - "Ġinc orporated", - "b urn", - "ĠGirl s", - "Ġy our", - "ĠM es", - "Ġp ed", - "ĠTransport ation", - "Ġ5 2", - "clus ion", - "Ġcompet e", - "Ġb ishop", - "ĠR io", - "Ġcompos ition", - "Ġtra v", - "ĠFinn ish", - "Ġm art", - "ĠS C", - "Ġdo ing", - "ĠBu ff", - "m ers", - "Ġregist ered", - "ĠWh o", - "is f", - "a fter", - "ĠFlor a", - "on omy", - "Ġadv oc", - "m at", - "s ki", - "Ġinflu enced", - "Ġinst alled", - "ĠD ance", - "s ong", - "ang er", - "ĠF all", - "ĠIn vest", - "' m", - "ĠHol lywood", - "ĠMic hel", - "av ed", - "Ġc ru", - "ĠSe attle", - "ĠN eb", - "Ġr ise", - "Ġtransl ation", - "Ġrequ est", - "ĠGr ant", - "Ġsome one", - "oth ing", - "Ġ188 0", - "% .", - "Ġsh ape", - "Ġe mp", - "A P", - "ap es", - "h ing", - "Ġexist ence", - "Ġo vers", - "n ers", - "Ġw arn", - "n et", - "uk i", - "Ġworld wide", - "Ġjoin ing", - "re es", - "Ġl aid", - "ĠR y", - "n ight", - "ĠR ights", - "Ġa id", - "ra cy", - "or f", - "ograph ics", - "Ġobserv ed", - "ĠMet ro", - "II I", - "Ġarg ued", - "Ġform al", - "Ġsc enes", - "W e", - "Ġview s", - "Ġemploy ees", - "ĠN et", - "Ġw atch", - "Ġdet ails", - "z i", - "Ġp ione", - "Ġconsist ing", - "Ġexper ien", - "ĠV eg", - "Ġmain tained", - ") \"", - "ĠP rad", - "re te", - "ĠCam er", - "ĠDef ense", - "Ġhom es", - "ĠT ak", - "hemat ics", - "ĠBalt imore", - "ĠF ive", - "ri k", - "Ġprom ote", - "Ġb odies", - "ĠB ull", - "or ro", - "ĠOb last", - "Ġan th", - "el and", - "Ġeng aged", - "Ġan aly", - "ĠEner gy", - "Ġrecord ings", - "ownt own", - "ret t", - "Ġcar ry", - "Ġ190 3", - "Ġsup erv", - "ĠPubl ishing", - "c ia", - "Ġanim al", - "ĠSe ction", - "L C", - "ĠBru ce", - "Ġdr ivers", - "Ġs oci", - "Ġsol id", - "un ction", - "Ġbir ds", - "ĠMar ie", - "ĠAr n", - "ĠCh amber", - "Ġsc ale", - "Ġstart s", - "Ġanim ated", - "h ar", - "ĠG a", - "ĠS af", - "S c", - "ĠMor gan", - "Ġstat ement", - "Ġcricket ers", - "Ġt or", - "ĠU E", - "Ġacc used", - "ra structure", - "as a", - "Ġband s", - "Ġop in", - "6 9", - "ĠPal ace", - "ĠTh ough", - "Ġcon stant", - "ĠColon el", - "r ations", - "ĠA y", - "idd en", - "Ġheav ily", - "ĠK an", - "ĠF ried", - "ĠR acing", - "Ġsur vey", - "Ġp ull", - "Ġqu ant", - "O R", - "Ġn om", - "Ġ5 1", - "ĠRuss ell", - "bass ador", - "un c", - "emb le", - "ĠWrit ers", - "Ġch air", - "ol t", - "Ġre aching", - "ell i", - "ĠB uck", - "st ar", - "ĠH ere", - "Ġtra ined", - "ov o", - "ang el", - "Ġso le", - "ĠKn ight", - "Ġpl ot", - "ul ate", - "ĠR ot", - "ĠCl ar", - "Ġad vent", - "Ġprote in", - "le te", - "ur day", - "Ġt ropical", - "Ġ5 5", - "ol ph", - "ĠP ear", - "pect ive", - "ĠOper ation", - "Ġspec ifically", - "ect s", - "ĠKel ly", - "Ġfound ation", - "Ġstand ards", - "Ġb atter", - "Ġass ess", - "Ġext rem", - "l on", - "ond er", - "Ġt rying", - "Ġ190 2", - "Ġ190 1", - "Ġarch ae", - "Ġeff ic", - "Ġcom ic", - "od a", - "ival ent", - "ĠSoc cer", - "p ers", - "ĠPe ace", - "Ġaff ected", - "ĠCro wn", - "ĠLe v", - "ĠChrist opher", - "id el", - "Ġb an", - "ch t", - "Ġchem ical", - "Ġis lands", - "Ġun cle", - "ĠF A", - "erb ai", - "Ġag ency", - "ĠD yn", - "h op", - "ather ine", - "ĠEx t", - "Ġimport ance", - "=\" #", - "ĠR est", - "it als", - "Ġbehav ior", - "ĠV ik", - "Ġtw elve", - "Ġvol unte", - "ĠP ad", - "Ġt un", - "Ġcomp ut", - "Ġt end", - "ĠYug oslav", - "arg o", - "ĠBanglades h", - "ĠPrin cess", - "Ġexp ed", - "t hen", - "d o", - "Ġto ward", - "Ġimpro ve", - "it ations", - "ĠP atri", - "Ġs ale", - "Ġm ent", - "ĠAd vent", - "ann ed", - "t op", - "et ies", - "int end", - "Ġhe ard", - "ĠDe an", - "ĠCo le", - "ĠLe ban", - "Ġtransl ated", - "Ġw rest", - "I V", - "ĠBroad cast", - "Ġv ide", - "ĠDe ad", - "Ġreb u", - "ĠPerson nel", - "ĠR and", - "Ġobject s", - "ĠStud io", - "or us", - "ine a", - "Ġh air", - "ĠMed icine", - "ĠP y", - "ash i", - "ĠMunicip ality", - "Ġs ession", - "ĠStew art", - "199 4", - "ĠYear s", - "ir t", - "ĠR an", - "Ġintro duction", - "aught ers", - "Ġre ality", - "Ġshe ll", - "Ġreg iment", - "Ġeng ines", - "ĠE ver", - "ĠFI FA", - "Ġneg ative", - "Ġl at", - "Ġse venth", - "Ġrece ption", - "ĠGl as", - "Ġpaint ers", - "ĠM aj", - "us cript", - "go ing", - "Ġde leg", - "ĠC are", - "Ġdep uty", - "ĠVi enna", - "own ed", - "Ġres istance", - "ann y", - "Ġw eather", - "Ġstr ateg", - "Ġsecond s", - "Ġcollabor ation", - "ĠCE O", - "ud a", - "ĠK on", - "Ġlic ens", - "Ġth row", - "Ġa head", - "es c", - "ĠHamp shire", - "bo ards", - "Ġar med", - "com ing", - "Ġn ick", - "Ġ4 7", - "b r", - "Ġ ille", - "Ġ {", - "ĠS ign", - "ĠMar ket", - "Ġdescrib es", - "Ġposs ess", - "ĠO ri", - "Ġad apted", - "ĠTourn ament", - "ĠL en", - "wh ite", - "Ġrul ed", - "ĠL ib", - "ĠB ed", - "ĠAss oci", - "ĠNe v", - "ĠTr ade", - "g ow", - "Ġproduc ing", - "os m", - "Ġext ension", - "est yle", - "Ġm ole", - "Ġaccom pan", - "ĠLith uan", - "ĠAng l", - "umb ent", - "Ġdist inct", - "ĠT rad", - "Ġz one", - "Ġbrief ly", - "D A", - "uss ion", - "ĠMe an", - "us hed", - "Ġd ivers", - "Ġp rice", - "Ġprov ed", - "Ġfact ory", - "ĠNel son", - "am ic", - "Ġ ri", - "ĠP sych", - "ĠG ill", - "le vel", - "Ġcall ing", - "C l", - "am an", - "ĠAz erbai", - "ĠE ston", - "ĠH orn", - "Ġdivision s", - "em en", - "Ġ ere", - "Ġentire ly", - "Ġpri ze", - "Ġste am", - "ĠPh ot", - "ĠO ur", - "Ġmar ine", - "ĠA T", - "ĠCamp bell", - "Ġcompos ers", - "Ġrev olution", - "ĠDall as", - "ĠLiver pool", - "Ġex erc", - "ink ing", - "Ġim ages", - "Ġle ct", - "M ar", - "ĠMain e", - "ĠSup port", - "Ġg ain", - "Ġclos ely", - "Ġup d", - "ĠConserv ative", - "aval ry", - "olley ball", - "ĠCh airman", - "in cluding", - "ĠOn ce", - "in ian", - "ĠAthlet ic", - "Ġschol ars", - "b al", - "Ġres idence", - "ect ive", - "Ġagric ultural", - "ĠA rena", - "ĠEconom ic", - "ĠH end", - "ming ham", - "ĠD od", - "ĠThom pson", - "ĠCarl os", - "ell ite", - "am s", - "Ġr ating", - "Ġch ose", - "duc ing", - "199 3", - "ĠAust in", - "ĠSar ah", - "ĠD ra", - "Ġnorth west", - "ĠK ra", - "ic it", - "Ġcaus es", - "Ġappl ications", - "ĠJim my", - "ah n", - "Ġdist in", - "Ġed ited", - "Ġinter ior", - "as ka", - "ov ation", - "ĠE very", - "Ġp ages", - "d y", - "Ġcontribut ions", - "Ġide as", - "Ġac id", - "ĠEp is", - "ĠNor man", - "ab y", - "ĠC hen", - "ĠF ood", - "Ġsur g", - "ĠM ethod", - "ĠAll iance", - "Ġsh all", - "th m", - "ina e", - "ĠW right", - "Ġm ilit", - "Ġdoc uments", - "ĠCom ple", - "ĠH ell", - "un ch", - "Ġcolon ial", - "Ġre duce", - "il er", - "Ġloc ality", - "Ġent ertain", - "Ġsymb ol", - "Ġin form", - "Ġcop y", - "Ġpass engers", - "ĠOrth odox", - "Ġdo or", - "f inal", - "ĠKenn edy", - "Ġfl at", - "Ġlead s", - "ĠUE FA", - "Ġproduc ers", - "ĠR ain", - "ĠPl at", - "Ġed ge", - "Ġdis miss", - "ĠAg ency", - "Ġp up", - "Ġopportun ity", - "in ch", - "ate gy", - "20 22", - "Ġathlet es", - "Ġ189 8", - "Ġch oice", - "Ġem ot", - "Ġg arden", - "inn er", - "Ġrail road", - "Ġbelie ve", - "Ġcharg es", - "Ġ5 4", - "aut iful", - "Ġgradu ate", - "og ether", - "199 2", - "Ġc rown", - "ins ula", - "Ġroad s", - "Ġstreng th", - "ent ially", - "ĠR ud", - "ĠBe ck", - "ĠO m", - "ĠN ord", - "ir i", - "Ġregard ed", - "Ġtechn iques", - "Ġw itness", - "Ġposs ibly", - "ĠOper a", - "p erson", - "ĠE mer", - "ĠAdam s", - "ĠL ower", - "ph a", - "Ġcomp ilation", - "ĠBrook lyn", - "ult an", - "W est", - "ĠB omb", - "Ġdebut ed", - "Ġpro ced", - "Ġinter ests", - "rane an", - "ĠSen ator", - "Ġon es", - "ĠK it", - "am o", - "uc ks", - "v ia", - "ĠFrank lin", - "Ġg etting", - "Ġres ign", - "ĠAp p", - "ar us", - "ĠBern ard", - "Ġimpro ved", - "Ġre ally", - "ĠB illy", - "ĠG ulf", - "ĠD ub", - "ĠN ash", - "Ġm ist", - "ph ony", - "at ures", - "ĠDem ographics", - "Ġcomm itted", - "ĠSerb ia", - "et ime", - "h aps", - "Ġa er", - "Ġoper ate", - "Ġdist ributed", - "Ġf lying", - "Ġan cest", - "ĠCo oper", - "ĠVol ume", - "aw are", - "ĠPort land", - "ob a", - "or ial", - "ter ed", - "Ġref uge", - "ĠRob inson", - "ĠTr ump", - "ĠDak ota", - "ĠCat al", - "ĠCon stitution", - "Ġadj acent", - "el er", - "ĠN am", - "Ġparticip ate", - "a ire", - "Ġf ine", - "ĠLI NE", - "ĠBir mingham", - "Ġc ore", - "le e", - "Ġsing ing", - "ĠP ir", - "ĠH om", - "Ġa x", - "Ġint elligence", - "ĠStan ley", - "are st", - "ĠBrother s", - "ĠI van", - "in ate", - "p en", - "Ġfav our", - "ĠW restling", - "p ir", - "Ġcon vent", - "Ġus ers", - "Ġw aters", - "Ġen l", - "Ġ15 0", - "Ġ189 9", - "Ġval ues", - "Ġcont rolled", - "ug ar", - "Ġs am", - "Ġdam aged", - "ĠL ud", - "Ġground s", - "oc racy", - "Ġcle an", - "Ġob tain", - "y pe", - "ĠUp per", - "Ġqu ite", - "u ct", - "Ġh am", - "ish ment", - "ĠTra ining", - "ĠMot or", - "b ach", - "Ġb rig", - "ĠMur ray", - "Ġ187 0", - "fer red", - "ĠV ari", - "ĠW ol", - "Ġsurv ived", - "Ġdemon st", - "ĠCon struction", - "writ ers", - "ic ate", - "ĠW a", - "Ġan s", - "ĠV erm", - "Ġpro s", - "ĠRe port", - "Ġclass ification", - "ĠTe le", - "ĠSoc orro", - "ĠB ush", - "gr ade", - "Ġse ctions", - "Ġfranch ise", - "ĠCh ang", - "Ġphot ograph", - "ĠMarsh all", - "ĠLINE AR", - "Ġrepe ated", - "Ġsub stant", - "ĠGra ham", - "Ġcomb ination", - "Ġit ems", - "Ġf ly", - "Ġmeas ures", - "Ġdra wn", - "et a", - "Ġb udget", - "Ġdef ensive", - "ish ments", - "ĠB ud", - "Ġbro ken", - "Ġcon sequ", - "aly mp", - "att an", - "ĠColle ction", - "ĠA BC", - "omm od", - "i op", - "ĠD oc", - "Ġelect ronic", - "Ġbel ief", - "Ġdefe ating", - "Ġpre m", - "ok a", - "s ch", - "h u", - "Ġann iversary", - "ĠYou T", - "Ġunivers ities", - "Ġshoot ing", - "ĠG ary", - "ors es", - "Ġbene f", - "ĠSat urday", - "Ġex act", - "l ie", - "ĠJ azz", - "Ġphil osophy", - "ĠA qu", - "Ġtrans ition", - "ĠMad rid", - "ill o", - "Ġdesign s", - "t ic", - "ĠS yn", - "Ġimpr ison", - "ĠM ort", - "ĠCar ter", - "ĠCh and", - "Ġt ank", - "Ġjust ice", - "Ġstand ing", - "Ġearl iest", - "Ġgr ade", - "Ġsign al", - "ĠR u", - "ĠTax a", - "ĠPier re", - "d in", - "Ġh our", - "ĠIn s", - "ĠSec ret", - "Ġgood s", - "ĠPre fecture", - "Ġw orth", - "ĠS i", - "Ġmom ent", - "I s", - "om ing", - "Ġown ers", - "Ġl ists", - "Ġm ort", - "Ġcapt ure", - "Ġfe ed", - "ĠIran ian", - "Ġjud ges", - "el ess", - "Ġmed icine", - "Ġre jected", - "Ġcritic ized", - "Ġd ry", - "c ious", - "ĠV ic", - "ĠCar ib", - "ĠV ers", - "r m", - "ĠC ass", - "Ġfinal s", - "d ers", - "ĠL ane", - "apt ist", - "b ishop", - "ĠArt ists", - "Ġtri p", - "N e", - "atab ase", - "ĠR ap", - "Ġprov incial", - "Ġhum ans", - "ĠP C", - "Ġhtt p", - "Ġcharg ed", - "Ġ6 3", - "Ġneigh bour", - "Ġact ual", - "Ġdeliver ed", - "ĠI v", - "ak ed", - "r ons", - "Ġch ain", - "or er", - "het ic", - "H e", - "Ġactiv ist", - "b ridge", - "ut ation", - "Ġd ie", - "ĠY orks", - "Ġpur poses", - "E E", - "Ġbott om", - "Ġ( ).", - "Ġrele g", - "ĠDef ence", - "G A", - "Ġpar allel", - "M an", - "w all", - "Ġpre mi", - "Ġgr ant", - "Ġ189 6", - "Ġinter pret", - "Ġcan cell", - "Ġter ror", - "ĠAg ain", - "oc a", - "Gen eral", - "Ġsk ills", - "Ġshow ing", - "ĠD aily", - "P C", - "Ġst ores", - "Ġreg ularly", - "ĠTh us", - "Ġv eter", - "c oh", - "b at", - "p at", - "ĠLe ad", - "abl ed", - "i ac", - "ĠMov ement", - "Ġs ell", - "ĠPar alymp", - "ĠJohn ny", - "hib ition", - "Ġprison ers", - "Ġmed ium", - "ant ly", - "ce ived", - "ĠA ld", - "if er", - "ot es", - "Ġg ets", - "be an", - "Ġse ems", - "Ġis ol", - "ĠS ax", - "ĠJ ason", - "Ġqual ifying", - "et on", - "T S", - "ĠCat hedral", - "ĠT ot", - "Ġven ues", - "t own", - "Ġc ourses", - "Ġgreat est", - "ol ar", - "ĠG or", - "Ġoppos ite", - "Ġro utes", - "ĠN ad", - "Ġn aval", - "Ġbusiness es", - "ĠCy cl", - "ĠW ing", - "Ġpubl ishing", - "Ġdesign er", - "ĠMedal ists", - "F M", - "Ġ189 7", - "Ġvict ims", - "ĠBen j", - "it able", - "ol ly", - "ĠGu y", - "ĠSt ra", - "Ġpurch ase", - "Ġhabit at", - "Ġsouth west", - "Ġa ware", - "Ġsub urb", - "ĠW oman", - "h t", - "ĠNaz i", - "Ġlegisl ation", - "ĠOrgan ization", - "al ia", - "w right", - "iel der", - "ĠLank a", - "Ġtri es", - "over ty", - "iter ranean", - "Ġ189 5", - "199 1", - "l s", - "Ġstri p", - "Ġpers ons", - "I nd", - "ĠEgypt ian", - "ĠAddition ally", - "Ġfact ors", - "ĠYorks hire", - "Ġresident ial", - "ou ver", - "Ġe gg", - "Ġjournal ists", - "E S", - "Ġ5 6", - "le ased", - "ast ery", - "ĠN BA", - "Ġin sc", - "op eration", - "Ġd ies", - "ĠH ig", - "Ġfre edom", - "Ġb oys", - "Ġmet ers", - "Ġm ile", - "Ġh its", - "Ġstand s", - "ĠAp pe", - "Ġg ender", - "d r", - "Ġscient ists", - "P ro", - "y ll", - "Ġmin ute", - "mer ce", - "ĠA R", - "Ġw ounded", - "x ual", - "Ġbusiness man", - "Ġhe at", - "Ġadm itted", - "r ong", - "Ġr ivers", - "Ġt ack", - "Ġadvant age", - "ĠT ob", - "ace ae", - "ol ia", - "Ġ5 3", - "Ġexam ples", - "ĠBe g", - "ĠM ack", - "Ġatt ached", - "ĠNiger ia", - "Ġarran ged", - "t ure", - "Ġkn ock", - "am ents", - "ĠR ico", - "le ans", - "ĠWind ows", - "Ġt ur", - "ĠAuthor ity", - "Ġdr iving", - "Ġm emorial", - "Ġh ill", - "ĠK um", - "Ġc risis", - "Ġal leg", - "h ai", - "ĠCap ital", - "Ġdev ice", - "Ġmot ion", - "ĠCo ok", - "Ġcy cle", - "' re", - "ĠSer ge", - "res ents", - "ĠWeb site", - "ip h", - "Ġdesc ription", - "ĠLiter ature", - "ĠTro phy", - "ĠF ull", - "Ġcost s", - "ĠI an", - "ĠGh ana", - "f iction", - "Ġcommun ication", - "Ġacc ommod", - "Ġst ages", - "um in", - "N C", - "Ġstre ets", - "Ġsy nd", - "ĠM oths", - "ĠGu ide", - "Ġs ave", - "Ġwh y", - "ĠEv ans", - "ĠPar ish", - "Ġeas ily", - "Ġro b", - "or ce", - "O C", - "Ġsequ ence", - "Ġcred ited", - "v ant", - "end ment", - "ĠGr ay", - "ĠH as", - "Ġs uff", - "Ġcl imb", - "Ġd uty", - "ĠGr ade", - "as ure", - "Ġsub mar", - "Ġdec ade", - "l ow", - "Ġm ine", - "Ġr ich", - "Ġrest rict", - "Ġdeterm ine", - "Ġfa ith", - "as i", - "198 0", - "se a", - "Ġstar red", - "Ġro oms", - "ĠDer by", - "ĠS r", - "Ġcomm une", - "M P", - "- -", - "ĠElect ric", - "Ġk id", - "Ġcour ts", - "ĠEle mentary", - "Ġprote cted", - "ĠNot e", - "Ġg ang", - "Ġtyp ical", - "ia h", - "ĠH um", - "Ġmembers hip", - "ot hes", - "Ġren ew", - "ĠRich mond", - "Ġf er", - "Ġpain ted", - "a uty", - "Ġdem and", - "Ġcom ed", - "ĠGlas gow", - "ay ed", - "rap y", - "Ġs ki", - "ĠOr leans", - "Ġmy th", - "ĠU g", - "Ġass umed", - "Ġret ained", - "Ġa f", - "ĠCon vention", - "ĠMed iterranean", - "e enth", - "Ġb ond", - "Ġrun ner", - "ie ce", - "Ġh unt", - "Ġcirc um", - "b ul", - "Ġre action", - "Ġassist ance", - "Ġthe ater", - "ĠPrim ary", - "Ġoper ates", - "pro fit", - "Ġrest ored", - "ĠJ ama", - "ĠE ug", - "r ant", - "Ġaccompan ied", - "Ġnick n", - "ĠL ad", - "m und", - "Ġmin ing", - "Ġinvest ment", - "ĠF oot", - "Ġp ool", - "oh n", - "ĠJud ge", - "ĠMil an", - "Ġoff ensive", - "ch o", - "Ġte en", - "Ġf an", - "ĠM ond", - "ĠS S", - "ĠM ap", - "op al", - "ĠBor ough", - "Ġc ited", - "ĠUr ban", - "ĠBar ry", - "ĠCrit ical", - "ĠT u", - "Ġfl o", - "ann els", - "Ġvide os", - "Y ou", - "s er", - "ĠPublic ations", - "m ith", - "ĠConf eder", - "c ussion", - "ĠDisc ography", - "ĠFle et", - "ĠChall enge", - "ĠHind u", - "ĠSpec ies", - "ĠF ather", - "ĠC her", - "il st", - "198 9", - "Ġcon text", - "a ired", - "Ġ5 7", - "ĠMu ham", - "ter y", - "Ġp ian", - "Ġrep resents", - "Ġse ed", - "Ġut il", - "ĠTig ers", - "ĠP av", - "c op", - "Ġf est", - "ĠSal v", - "ĠWay ne", - "Ġb rain", - "Ġnot ably", - "Ġexecut ed", - "Ġhead ed", - "ĠBroad way", - "Ġf ra", - "Ġd oll", - "R S", - "ĠW W", - "ĠK ath", - "ran g", - "ick et", - "ĠThe ater", - "ĠFran ces", - "C D", - "cycl op", - "Ġexperien ced", - "Ġc ous", - "on ian", - "Ġret ail", - "ac c", - "Ġnewsp apers", - "Ġadv is", - "Ġb ed", - "d oor", - "Ġf ired", - "ĠAnd y", - "Ġst ood", - "ĠM i", - "iv ated", - "ĠAct ress", - "Ġ189 3", - "ĠPict ures", - "Ġchall enge", - "Ġman uscript", - "Ġpolic ies", - "Ġpr ime", - "Ġgr ass", - "Ġ6 2", - "Ġs ed", - "is hers", - "ĠH old", - "ĠSele cted", - "Ġcolle ctions", - "Ġd ating", - "re c", - "Ġ186 0", - "ĠPrad esh", - "Ġc aught", - "ak u", - "Ġreturn s", - "or row", - "Ġsepar ated", - "o i", - "Ġlook ing", - "edd ing", - "ĠF ace", - "Ġcar rying", - "Ġin fl", - "Ġj ump", - "th a", - "ĠV as", - "Ġher itage", - "Ġdou b", - "Ġcon qu", - "i ation", - "ĠB aker", - "Ġra cial", - "I P", - "k ov", - "c ular", - "in ter", - "Ġs elling", - "ĠPolit ics", - "Ġt ail", - "Ġform ally", - "g ie", - "ĠPh oen", - "Ġconcern s", - "ĠR ena", - "Ġb ran", - "Ġr hy", - "ĠWar ren", - "ĠCent ury", - "ĠN ever", - "Ġuns uccess", - "ows ki", - "Ġw ings", - "ot an", - "ĠF rid", - "ĠH it", - "Ġstop ped", - "Ġass ault", - "P h", - "ĠYouT ube", - "ĠP il", - "Ġele ctoral", - "ĠFl ore", - "ĠV el", - "ĠBl ues", - "ĠM ong", - "uk a", - "ĠPer u", - "ac on", - "Ġ189 4", - "c hers", - "Ġ188 9", - "ĠB rist", - "ĠL ov", - "Ġkil omet", - "ĠD J", - "ĠGab ri", - "ĠN at", - "ĠSe ven", - "ra ge", - "Ġde st", - "Ġn or", - "ĠMit chell", - "R e", - "ĠCharl ie", - "ĠJ osh", - "ul u", - "Ġf iled", - "ec ution", - "ĠF act", - "ĠDel hi", - "ie ge", - "ĠBenj amin", - "Ġrestaur ant", - "y les", - "att ers", - "Ġd uties", - "ras ka", - "Ġast ron", - "ĠRang ers", - "Ġcar bon", - "ro c", - "Ġ189 2", - "Ġe ye", - "ĠA er", - "ind ing", - "Ġun iform", - "ĠM other", - "ĠMon te", - "Ġv aria", - "Ġatt ract", - "ĠSlov ak", - "Ġinstr uments", - "Ġt all", - "Ġmag azines", - "lo ad", - "amp s", - "Ġend emic", - "op les", - "is d", - "ĠA S", - "ĠR al", - "ĠLim ited", - "it ime", - "ĠR av", - "ĠC art", - "Ġsom ew", - "Ġsignificant ly", - "ĠL anguage", - "Ġin her", - "ĠM ans", - "ĠG un", - "ok ed", - "ĠC ase", - "ĠMan h", - "ĠPol y", - "ten ance", - "anc ouver", - "Ġshe l", - "j ab", - "Ġguitar ist", - "Ġcoast al", - "Ġadapt ation", - "Ġlin k", - "Ġnot hing", - "Ġcolle ges", - "Ġsever e", - "ĠB und", - "ĠB enn", - "Ġarr ival", - "ĠQu arter", - "ĠM all", - "ĠN orm", - "ĠComp anies", - "ĠM ess", - "Ġdemon str", - "orn e", - "Ġth ick", - "m aster", - "Ġpre ced", - "Ġcritic ism", - "Ġleg end", - "ĠR ic", - "ĠHawai i", - "Ġtest ing", - "p age", - "Ġdeg rees", - "ĠNov a", - "ĠNev ada", - "ĠGu inea", - "ĠColomb ia", - "Ġown ership", - "Ġwind ows", - "ĠTown s", - "forman ce", - "ar an", - "aw ay", - "Ġb at", - "ĠNep al", - "Ġexpress ion", - "H S", - "igg est", - "Ġequ ivalent", - "Ġrom antic", - "Ġb rick", - "Ġrespons ibility", - "Ġbring ing", - "or iginal", - "Ġob l", - "eg et", - "Ġin stitution", - "Ġexpl os", - "ĠN ation", - "ut ions", - "Ġ1 20", - "Ġcol our", - "ĠB urg", - "ĠCon n", - "Ġus er", - "ĠVo iv", - "le ton", - "h ab", - "ĠZ e", - "ĠAnd r", - "as hed", - "Ġmed als", - "ok er", - "ĠAlbert a", - "ĠNeb raska", - "Ġchampionship s", - "ĠM ak", - "Ġinc orpor", - "ĠB achelor", - "Ġorgan isation", - "Ġpo ets", - "id ency", - "Ġd aughters", - "Ġdep end", - "l ock", - "ĠWar ner", - "Ġpract ices", - "Ġfl ower", - "c ount", - "gress ive", - "usal em", - "N o", - "Ġlearn ed", - "ph an", - "Ġpo em", - "Ġfl owers", - "Ġsuccess or", - "he me", - "Ġco ordin", - "Ġother wise", - "ĠBarb ara", - "ĠSc hed", - "Ġmunicipal ities", - "ĠV lad", - "Ġ188 5", - "is ations", - "Ġvess els", - "Ġst orage", - "Ġsugg ests", - "ĠStand ard", - "ĠBuff alo", - "Ġin du", - "ĠPhilipp ine", - "ĠG rad", - "Ġfilm ed", - "ĠWeek ly", - "Ġunder standing", - "ph one", - "ship s", - "wh o", - "ast rop", - "ĠAl t", - "Ġreplace ment", - "ĠJ enn", - "Ġ189 1", - "bre ak", - "ĠCarib bean", - "ĠMin or", - "ĠHun ter", - "Ġh ur", - "o om", - "Ġwind ow", - "Ġcol span", - "odes hip", - "ĠT ower", - "Ġfact or", - "Ġch ance", - "ater n", - "ĠY e", - "i ya", - "p ower", - "Ġp hen", - "arm a", - "Ġw ave", - "ĠSpe ed", - "Ġlin ked", - "Ġcrow d", - "O N", - "il k", - "ĠF itz", - "ĠMuham mad", - "ĠU nt", - "Ġacc ur", - "Ġturn s", - "st ances", - "Ġmed ieval", - "Ġcross ing", - "ĠAl aska", - "ĠJon athan", - "le m", - "Ġprep ared", - "x ts", - "Ġclass ified", - "Ġrece pt", - "Ġdis appe", - "Ġcover age", - "D S", - "ĠP ant", - "ĠW ang", - "u y", - "Ġdif ference", - "Ġdi agn", - "ĠF ine", - "Ġpeak ed", - "M E", - "Ġhost s", - "elle ct", - "en ia", - "Ġcomm emor", - "st ad", - "Ġnomin ation", - "Ġsound track", - "Ġinter ested", - "Ġb anks", - "og le", - "n ik", - "ĠGre ater", - "Ġf rag", - "ĠJ ess", - "Ġ7 6", - "Ġauth ors", - "Ġoccup ation", - "ĠRe lease", - "Ġrec ip", - "rupt ion", - "ĠSt ars", - "ĠV ancouver", - "Ġt ied", - "Ġmon ument", - "ĠVictor ian", - "ĠCharl otte", - "av an", - "Ġdev ices", - "Ġm outh", - "ch ang", - "Ġdid n", - "ĠTechn ical", - "198 8", - "Ġartist ic", - "f are", - "ĠAp ple", - "ĠK os", - "ĠP A", - "Ġv eget", - "Ġf ictional", - "ĠL ate", - "Ġweek ly", - "ĠBeng al", - "ien cy", - "ĠProt est", - "ĠS aints", - "ĠUn it", - "ĠCon stant", - "ĠT ang", - "ĠRec ipients", - "ĠAm az", - "Ġinv ent", - "Ġthe ore", - "ĠA P", - "Ġcover ing", - "Ġens ure", - "Ġd anc", - "Ġm obile", - "ĠS um", - "Ġrec ru", - "Ġte achers", - "Ġland ing", - "Ġdesc end", - "Ġun us", - "Ġsubject s", - "ĠBl ood", - "ĠT ag", - "ĠH ud", - "ark ed", - "Ġ| }", - "ict ions", - "ant ine", - "Ġag encies", - "ĠAss istant", - "Ġfl ows", - "Ġparliament ary", - "Ġb iggest", - "anc ell", - "Ġchild hood", - "Ġ6 1", - "Ġass ass", - "ĠVoiv odeship", - "ĠAl ger", - "en burg", - "ar on", - "Ġas pects", - "ens es", - "ĠL uther", - "ĠHe b", - "ri x", - "ĠNich olas", - "ĠClass ic", - "Ġ ign", - "ĠDef unct", - "ĠChart s", - "ĠL ore", - "ot ype", - "ĠAl ice", - "ĠSt re", - "ĠOn line", - "198 7", - "Ġart illery", - "ik o", - "A m", - "Ġs un", - "ĠP le", - "Ġc old", - "ĠFil ip", - "ourn als", - "Ġp od", - "ric ane", - "Ġexper t", - "er ia", - "Ġde pos", - "Ġstr uck", - "ĠC hel", - "Ġsquad ron", - "m osp", - "iv ia", - "Ġmanufact uring", - "ĠInd ians", - "ĠF ab", - "ĠSte el", - "ĠP ast", - "ĠEx per", - "Ġcount ies", - "ĠUl t", - "Ġpopular ity", - "ou stic", - "an im", - "Ġ188 8", - "Ġminist ers", - "ĠGri ff", - "g ov", - "Ġstay ed", - "Ġv ary", - "ĠDist ribution", - "ĠBrist ol", - "ess ions", - "oc ol", - "Ġc up", - "iv an", - "ĠLu is", - "ĠS umm", - "Ġhistor ians", - "ĠO range", - "Ġelim inated", - "Ġforest s", - "Ġs ort", - "force ment", - "Ġass embly", - "E ng", - "ĠF ish", - "Ġd og", - "f olk", - "f ers", - "id ad", - "ĠFac ulty", - "j u", - "Ġappro pri", - "ounc ill", - "ĠC ode", - "ĠS id", - "ĠAfghan istan", - "Ġclass ic", - "ur u", - "ĠP in", - "Ġro se", - "Ġp apers", - "old s", - "Ġre ferences", - "ue z", - "ĠSt orm", - "Ġdisestabl ished", - "Ġgen e", - "sh aped", - "Ġaccom pl", - "in ations", - "ĠJer usalem", - "Ġeven ing", - "Ġlocomot ives", - "Ġd ated", - "Ġele ment", - "ĠPark er", - "ĠMor oc", - "ĠD NA", - "il ia", - "Ġhead s", - "Ġpict ure", - "ĠT ol", - "ĠAp pl", - "Ġsc heme", - "ĠC inc", - "h us", - "Ġm anga", - "oth y", - "og a", - "M C", - "Ġd im", - "b el", - "Ġch annels", - "Ġinf rastructure", - "ĠAdm iral", - "ĠM ind", - "Ġ5 8", - "ĠSm all", - "Ġl es", - "Ġche ck", - "Ġf ram", - "Ġrequire ments", - "Ġgradu ating", - "Ġ id", - "Ġf alls", - "ĠS R", - "Ġor chestra", - "Ġappoint ment", - "ĠMean while", - "ĠK ap", - "h and", - "ĠU nd", - "Ġ vert", - "ĠSa udi", - "ĠM aced", - "Ġt ie", - "st ory", - "ĠN i", - "Ġsynt hes", - "ann er", - "ush ing", - "Ġag greg", - "Ġaff airs", - "Ġpen alty", - "Ġprocess es", - "Ġwithd raw", - "Ġwhe el", - "ĠS ide", - "ĠSo ft", - "ĠOl iver", - "ĠCont emporary", - "ra ce", - "ov en", - "ĠE sp", - "Ġcondu ct", - "Ġsign ing", - "Ġn ations", - "Ġb it", - "app ing", - "ĠR AF", - "Ġ188 7", - "Ġf ixed", - "ĠA round", - "ĠKn ights", - "ĠIn it", - "ĠE vent", - "m m", - "Ġ186 5", - "Ġsent enced", - "Ġround s", - "Ġl ieutenant", - "Ġt ask", - "Ġdif ferences", - "Ġaud io", - "Ġconv icted", - "Ġs now", - "Ġre nt", - "kn ow", - "ĠA ction", - "Ġp overty", - "c ons", - "Ġr ates", - "ĠKn ow", - "ĠCl are", - "ur ers", - "Ġcomm it", - "ĠPr incip", - "Ġnomin ations", - "Ġr u", - "Ġthous ands", - "Ġst ret", - "ĠAnt i", - "Ġrepl acing", - "ĠK un", - "c ard", - "ĠSh a", - "rib ed", - "is ition", - "ĠB ron", - "Ġopin ion", - "ĠManh attan", - "Ġappear ing", - "Ġexped ition", - "Ġl iqu", - "ĠN ature", - "Ġpl ane", - "ĠS oul", - "Ġchap ter", - "claim ed", - "Ġquest ions", - "i ary", - "ĠS ultan", - "198 6", - "ij ing", - "w ig", - "ĠHis pan", - "ĠArt illery", - "Ġmov ements", - "ĠB ert", - "Ġenc ounter", - "cast le", - "Ġev olution", - "Ġextrem ely", - "Ġj ourney", - "Ġm ental", - "ĠTr inity", - "ĠFre edom", - "ĠH em", - "Ġsur re", - "Ġso il", - "Ġm ac", - "i ors", - "f ish", - "ar is", - "Ġlim it", - "b oy", - "Ġmon arch", - "Ġportray ed", - "Ġind igenous", - "ĠY am", - "Ġrel ative", - "p ent", - "u is", - "Ġadd ing", - "Ġemer gency", - "ĠCroat ian", - "ĠP age", - "ĠMod el", - "ĠDi ocese", - "ele cted", - "Ġl ov", - "f eld", - "Ġindic ate", - "ĠCont rol", - "Ġs ax", - "Ġtem porary", - "press ion", - "ĠTra il", - "Ġwood en", - "Ġnot e", - "ĠIs a", - "al is", - "ĠPl ant", - "le ment", - "Ġpl ate", - "in os", - "Ġwe ak", - "ach t", - "ĠKir k", - "Ġcap able", - "ĠBar cel", - "Ġstr ategy", - "in ces", - "198 5", - "ĠF alls", - "Ġme ets", - "Ġterrit ories", - "ĠSh ang", - "kee per", - "Ġ186 4", - "Ġtechn ique", - "ĠEduc ational", - "ĠMar s", - "Ġsu icide", - "Ġphot ography", - "Ġoffer ing", - "ĠY u", - "ĠAd ela", - "Ġw or", - "Ġ188 6", - "ĠF eat", - "ĠHarris on", - "b ut", - "ĠPo et", - "ĠB ranch", - "oph one", - "Ġh ip", - "ist ani", - "Ġsubs idi", - "Ġdef ence", - "ĠK o", - "Ġag o", - "us c", - "ĠP ay", - "ĠTerrit ory", - "Ġam ateur", - "Ġmount ains", - "he red", - "m aker", - "uss ian", - "ĠRe f", - "Ġvol umes", - "Ġloss es", - "Ġking dom", - "Ġel der", - "Ġsusp ended", - "Ġv ision", - "ĠSh ip", - "ĠCh ron", - "ĠD raw", - "er k", - "ĠM L", - "ĠZ one", - "h ost", - "Ġactiv ists", - "Ġhor ror", - "ĠSocial ist", - "ro v", - "im ir", - "Ġrough ly", - "Ġo ption", - "ĠArmen ian", - "ĠEle ction", - "Ġl ap", - "E D", - "c are", - "ĠL ost", - "Ġc ards", - "ĠCost a", - "m ate", - "ĠColl ins", - "ĠGl en", - "Ġpo ems", - "cel and", - "Ġassoci ate", - "ĠT ib", - "ĠC BS", - "Ġbound ary", - "en berg", - "st ery", - "St ar", - "ĠL ag", - "Ġal coh", - "Ġcompet ing", - "ir ation", - "Ġpropos al", - "Ġden ied", - "ĠL is", - "ge on", - "Ġe yes", - "Ġrel ief", - "ĠPriv ate", - "ĠEd ition", - "Ġ186 1", - "ĠPhoen ix", - "ĠT as", - "inn ati", - "ĠVin cent", - "ĠF isher", - "ab a", - "197 0", - "udd en", - "aj a", - "ra ck", - "ĠS outheast", - "198 4", - "Ġc atch", - "ĠTurn er", - "ĠR ank", - "u art", - "Ġ6 6", - "ĠGian ts", - "ew ork", - "ag g", - "Ġappe al", - "ĠC A", - "uck land", - "Ġcompon ents", - "ĠB aptist", - "ist ical", - "Ġrec re", - "ĠE U", - "ĠFilm ography", - "ĠCub a", - "ic on", - "ĠC ities", - "ĠUnivers al", - "Ġev al", - "ĠEs s", - "Ġfind ing", - "Ġ18 50", - "Ġ186 3", - "ĠB ible", - "ĠM A", - "ud es", - "ĠC ond", - "ac re", - "Ġcred it", - "ĠAzerbai jan", - "Ġim ag", - "ĠArchite cture", - "Ġf oss", - "Ġh ang", - "ĠS ah", - "ĠSp irit", - "Ġf ruit", - "Ġper cussion", - "Ġf al", - "te enth", - "ĠF ell", - "g ate", - "Ġpl us", - "Ġbran ches", - "Ġmess age", - "Ġexper iences", - "Ġthreat ened", - "ĠOriginal ly", - "Ġceleb rated", - "Ġass ign", - "ĠH ouses", - "Ġent ering", - "com mun", - "ĠF if", - "Ġexpl ained", - "ĠCommission er", - "ĠAnt ar", - "Ġentertain ment", - "ĠFl ight", - "ĠR at", - "ĠP ow", - "ĠSym phony", - "ĠIndust rial", - "Ġe ighth", - "Ġinvol vement", - "ĠPopul ation", - "at ar", - "ett a", - "Ġdou bles", - "an ne", - "ĠN E", - "Ġc m", - "ĠComp uter", - "Ġdem olished", - "ĠOver all", - "ĠPun jab", - "Ġdecl ined", - "Ġlic ense", - "Ġun f", - "Ġf ishing", - "l ater", - "m el", - "ĠS ite", - "Ġjur isd", - "ĠProf ile", - "Ġm oth", - "Ġdeb ate", - "Ġthe at", - "ĠRet urn", - "m od", - "Ġint ent", - "Ġswim ming", - "ĠAn cient", - "Ġhelp ing", - "Ġsp r", - "Ġaccount s", - "Ġ186 2", - "f ielder", - "ier ra", - "ĠS ad", - "Ġcous in", - "Ġconserv ation", - "ĠArt ist", - "ry pt", - "Ġg ather", - "Ġachie ve", - "b ane", - "il arly", - "ĠCra ig", - "os ph", - "Ġsup posed", - "us ing", - "ĠN BC", - "C on", - "ĠHer bert", - "Ġre nd", - "ty pe", - "Ġcontrovers y", - "Ġ188 4", - "ig o", - "ĠCommun ications", - "Ġra ise", - "ĠJer ry", - "Ġd ress", - "v ision", - "Ġst ring", - "ĠB ass", - "ĠG rey", - "Ġm ob", - "ot ton", - "Ġform ing", - "ĠCinc innati", - "is in", - "Ġinflu ential", - "ĠBarcel ona", - "st ers", - "D F", - "Ġcal cul", - "Ġex cell", - "ĠAl ong", - "Ġw arm", - "Ġstud ying", - "ĠJ oy", - "h ill", - "Ġmiss ions", - "Ġs olution", - "Ġf illed", - "ster dam", - "od ge", - "Ġprom pt", - "s a", - "ĠAdela ide", - "Ġaff ect", - "ĠH amb", - "w here", - "iss ue", - "re pre", - "ĠB ath", - "as p", - "Ġb en", - "Ġind icated", - "Ġ5 9", - "oy al", - "je ction", - "ĠL ions", - "Ġv ar", - "ĠA uckland", - "Ġlaw yers", - "hol m", - "ĠTh or", - "Ġrequ ires", - "M I", - "ĠC old", - "ĠH erman", - "ĠC ou", - "repre ne", - "198 3", - "ĠMun ich", - "Ġdra g", - "ĠSt art", - "ĠL P", - "ĠA viation", - "verse as", - "Ġarchitect ural", - ". :", - "A ll", - "ĠD og", - "hel m", - "ĠC S", - "g un", - "ĠH ugh", - "ag ar", - "Ġspirit ual", - "ĠShe l", - "ĠJ a", - "Ġcr ash", - "ĠC ob", - "Ġinj uries", - "Ġw restling", - "Ġparticip ation", - "Ġper haps", - "ĠWinn ers", - "ĠCan al", - "en cer", - "am pton", - "Ġor ient", - "Ġj ournals", - "ar ks", - "id o", - "ĠCroat ia", - "e or", - "ĠS z", - "ĠG oth", - "Ġprofess ion", - "ign ated", - "Ġsec ure", - "let t", - "ĠMag n", - "Ġvot ing", - "re hens", - "x i", - "ĠHe avy", - "ar at", - "and al", - "Ġ188 1", - "Ġp itch", - "m o", - "ĠD raft", - "ĠG round", - "ĠK ur", - "Ġd owntown", - "oc ation", - "ament al", - "Ġvess el", - "? \"", - "Ġcam era", - "ĠAngl ican", - "Ġrank ing", - "Ġinst ance", - "ĠCl ay", - "Ġ7 2", - "ĠB es", - "Ġcr imes", - "Ġsurround ed", - "Ġfr ame", - "Ġman ner", - "Ġc rop", - "Ġsh ut", - "ĠCr ime", - "ĠEx pl", - "Ġappro val", - "ĠBroadcast ing", - "ah o", - "ĠH av", - "Ġland scape", - "rib ute", - "ames e", - "ĠC ad", - "ot yp", - "Ġexist ed", - "Ġmark ets", - "Ġ6 7", - "ĠGon z", - "Ġperson ality", - "M L", - "ĠR ing", - "Ġbatt les", - "ĠS che", - "Ġ rif", - "ĠConserv ation", - "ah a", - "ĠH ann", - "Ġdep th", - "Ġele ven", - "e ed", - "ĠBe ijing", - "y t", - "Ġrepresent ation", - "inent al", - "ig ible", - "d est", - "Ġper fect", - "Ġse gment", - "Ġprot ests", - "ĠLl oyd", - "Ġsold ier", - "ĠY ang", - "Ġcor rect", - "r ub", - "ĠS ig", - "ĠS now", - "so ft", - "Ġm ir", - "ĠI celand", - "ĠB our", - "Ġann ually", - "Ġt ribut", - "f ly", - "Ġcomplet ion", - "at ically", - "Ġdon ated", - "ĠPer formance", - "ĠSystem s", - "ĠM asters", - "ĠArch ae", - "ont in", - "Ġl ob", - "Ġv ic", - "ĠTer ry", - "ab ilities", - "om on", - "Ġout put", - "Ġser ial", - "ĠB ris", - "ĠMont ana", - "ellect ual", - "ĠF inals", - "Ġex ternal", - "Ġthem es", - "Ġd ub", - "ĠBe h", - "born e", - "Ġnet works", - "Ġth in", - "Ġ8 5", - "Ġsk in", - "ia ble", - "ĠKe ith", - "Ġrepresent atives", - "ĠP el", - "p ine", - "ĠP ack", - "Ġmod ified", - "ĠY ale", - "Ġinf antry", - "p read", - "ĠArab ic", - "Ġcab inet", - "Ġf ear", - "Ġc ool", - "ĠB att", - "ul i", - "Ġsurv iving", - "iss ions", - "ĠIndust ry", - "ĠG ay", - "ĠF am", - "Ġconc rete", - "ĠP ont", - "if ican", - "iz ations", - "Ġpubl isher", - "Ġw ides", - "Ġb on", - "ĠWith in", - "ĠV I", - "ĠPol icy", - "ine e", - "Ġequip ped", - "Ġvis itors", - "ic ial", - "N S", - "ĠTy pe", - "ĠSh aw", - "ĠSte vens", - "iv ation", - "Ġhon ors", - "O M", - "197 9", - "ĠLar ry", - "Ġre act", - "oun ced", - "ĠThe od", - "amp a", - "E P", - "ĠMer c", - "Ġcirc uit", - "ĠC atherine", - "Ġn av", - "ĠEth iop", - "Ġlast ed", - "ĠM ig", - "ifican ce", - "Ġstrong ly", - "Ġgen re", - "ĠBulg arian", - "h um", - "ĠA ber", - "Ġyoung est", - "Ġre un", - "ĠG olf", - "Ġto ols", - "s is", - "Ġ188 2", - "Ġincreasing ly", - "ĠW es", - "ĠVenezuel a", - "ĠSe b", - "Ġdra f", - "ĠH ad", - "Ġd ream", - "ĠB uch", - "Ġk g", - "m ath", - "il ty", - "Ġcon gress", - "ĠRepresent ative", - "Ġtrib e", - "ĠInd ividual", - "Ġcolle ct", - "p p", - "ĠM ason", - "ĠForm ula", - "Ġd iam", - "ĠHen ri", - "Ġcent ers", - "Ġmart ial", - "Ġhapp ened", - "Ġsh ares", - "Ġille gal", - "Ġrep utation", - "ĠF uture", - "% ,", - "ĠG w", - "Ġadop t", - "ĠVeg as", - "Ġext ens", - "Ġrow span", - "Ġtransport ation", - "Ġabs or", - "ich i", - "Ġplatform s", - "ĠStat istics", - "ĠHud son", - "Ġpred e", - "Ġ9 5", - "ĠS A", - "Ġre pro", - "a uc", - "enn ial", - "ocrat ic", - "Ġvis iting", - "Ġs oul", - "ol in", - "Ġn one", - "ug s", - "i u", - "Ġpan el", - "ĠS alt", - "ĠAm sterdam", - "Ġb es", - "c alled", - "ĠP aint", - "bu ild", - "ĠS ask", - "ĠGo ogle", - "Ġne ut", - "cer ts", - "ro t", - "ĠLeg acy", - "us k", - "ag re", - "ĠEnvironment al", - "ke ley", - "oc al", - "Ġpr on", - "Ġmin imum", - "ĠB rew", - "Ġinn ings", - "Ġw ine", - "Ġhtt ps", - "t ical", - "oun sel", - "Ġplay offs", - "Ġdecl ine", - "ĠBulg aria", - "ĠBr un", - "ick ets", - "ĠG ust", - "ĠUn like", - "Ġs we", - "Ġatt orney", - "grad uate", - "ĠAtt orney", - "ĠSte ven", - "Ġa cted", - "ĠOr ig", - "ent e", - "Ġt ests", - "ĠMar vel", - "ĠNor folk", - "Ġdist inguished", - "b ound", - "Ġbelong ing", - "c z", - "ĠOper ations", - "Ġd ig", - "Ġpre gn", - "ac le", - "\" ;", - "ĠL an", - "osp itals", - "ĠB og", - "Ġsat isf", - "ash a", - "Ġcont ested", - "Ġcan n", - "Ġsurg ery", - "Ġt as", - "m ates", - "ĠBel arus", - "Ġsettle ments", - "ph al", - "d d", - "Ġbe ar", - "ĠM ix", - "od s", - "iz er", - "ing en", - "ĠM ann", - "ĠVerm ont", - "ĠT erm", - "Ġro ut", - "Ġatt ributed", - "se cts", - "Ġpreserv ed", - "el i", - "Ġto w", - "b us", - "w inning", - "Ġpost ed", - "ĠM az", - "or o", - "ig rated", - "Ġsc ope", - "Ġstat ue", - "Ġem igrants", - "ĠC ann", - "Ġsub t", - "Ġagric ulture", - "ast s", - "ĠTreat y", - "! \"", - "Ġan ch", - "ĠHar old", - "Ġelev ation", - "ĠN umber", - "Ġmerch ant", - "L P", - "ĠCamp aign", - "Ġmain tenance", - "Ġd rew", - "Ġbene fit", - "Don ald", - "itar ian", - "Ġcancell ed", - "Ġphil os", - "Ġrul ing", - "ĠD iamond", - "en os", - "ĠH orse", - "L a", - "ĠG ot", - "it is", - "ĠCur t", - "Ġcontin uing", - "Ġg olf", - "Ġag ents", - "ĠLu x", - "b rid", - "ĠRob in", - "ograp hers", - "Ġf ix", - "Ġdom ain", - "Ġbe ach", - "ĠL ie", - "198 2", - "z es", - "Ġcou ples", - "Ġdis pl", - "Ġsee k", - "Ġsub d", - "ĠS P", - "ĠC P", - "Ġhon our", - "Ġthir ty", - "Ġsched ule", - "ang erous", - "Ġc inema", - "Ġspok en", - "iction ary", - "ĠH ob", - "Ġinc idents", - "at che", - "Ġ6 8", - "B B", - "Ġkey boards", - "Ġex pect", - "Ġven ue", - "Ġf ighter", - "Ġrecomm ended", - "ĠSh in", - "b es", - "Ġdraw ing", - "' ve", - "Ġpopul ations", - "ĠD ays", - "Ġval id", - "ĠB right", - "ĠP ic", - "ul ations", - "ĠN S", - "ĠDeath s", - "Ġconsider able", - "Ġ1 000", - "Ġtre ated", - "ij i", - "ĠBy z", - "Ġmeet ings", - "Ġrele ases", - "t r", - "Ġparticip ants", - "Ġspe ak", - "ĠAn im", - "f ire", - "ra v", - "ĠBuddh ist", - "ĠDel aware", - "ĠDen ver", - "end ar", - "Ġform ations", - "A s", - "ub le", - "o j", - "Ġmod e", - "ĠSpr ings", - "Ġunder ground", - "Ġ187 6", - "ĠCommun es", - "ĠMan uel", - "ĠBos nia", - "Ġlong est", - "ĠB uc", - "Ġcoach ing", - "ĠM S", - "ĠManag er", - "ĠKen ya", - "Ġp ric", - "ro ck", - "Ġ188 3", - "Ġat mosp", - "Ġwides pread", - "Ġ25 0", - "ops is", - "arc hers", - "Ġan ime", - "Ġsat ellite", - "Ġsomew hat", - "ĠHel en", - "ch ild", - "ĠEn cyclop", - "Ġplan et", - "c at", - "ĠDrag on", - "D C", - "Ġfrequ ency", - "ĠF un", - "Ġchang ing", - "ĠN HL", - "Ġcharacter istics", - "Ġbir d", - "Ġfl ed", - "M ay", - "ĠIn v", - "Ġsu fficient", - "ĠErn est", - "ĠSy ria", - "ke ep", - "Ġres olution", - "Ġsh ore", - "Ġfest ivals", - "ĠBob by", - "Ġchap el", - "ĠP oll", - "Ġrelationship s", - "198 1", - "am ics", - "ĠT on", - "id en", - "Ġmod er", - "ĠCo al", - "Ġten ure", - "Ġpremi ere", - "ĠS ak", - "Ġgro wn", - "st own", - "Ġoccas ionally", - "Ġearth qu", - "Ġbo ats", - "g el", - "ĠM end", - "Ġf urn", - "ĠEd wards", - "Ġbl ocks", - "Ġg ay", - "ĠAt hens", - "ĠIndones ian", - "ult ane", - "Ġrese archers", - "Ġph one", - "ac o", - "Ġar c", - "Ġdepart ure", - "Ġreported ly", - "Ġex pos", - "onym ous", - "ĠPer ry", - "ĠRog ers", - "Ġill ness", - "b in", - "Ġjob s", - "ĠWar ri", - "ĠFrid ay", - "Ġac know", - "gi ate", - "Ġf ile", - "Ġany thing", - "Ġ187 8", - "Ġch amber", - "ust ed", - "Ġsaf e", - "ter ior", - "ia st", - "Ġinaug ural", - "Ġsp oke", - "ĠAd vis", - "ĠHol land", - "Ġhigh light", - "Ġgovern ments", - ". '", - "Ġpat rol", - "b ow", - "ĠS or", - "Ġindic ates", - "Ġab road", - "ĠL ion", - "ĠMah ar", - "Ġprin ted", - "C an", - "h igh", - "b ird", - "ĠTe ch", - "ĠHispan ic", - "ĠH ope", - "ĠT oy", - "Ġviol in", - "ur ring", - "ĠD ennis", - "Ġremain der", - "Ġcontrovers ial", - "ĠI C", - "ĠNiger ian", - "ĠEconom y", - "ĠClin ton", - "ĠG ang", - "ĠS ay", - "Ġinters ection", - "ĠK rist", - "ĠN y", - "ancell or", - "op es", - "ĠPed ro", - "Ġsur f", - "ĠPers ian", - "duc er", - "Ġt act", - "Ġtem por", - "Ġh a", - "Ġere cted", - "Ġwh ilst", - "ip er", - "ĠN an", - "Ġbu y", - "ĠAbb ey", - "Ġab use", - "ĠJeff erson", - "b ody", - "l iga", - "p ol", - "Ġw orship", - "ĠAng lo", - "Ġemploy ment", - "Ġph r", - "Ġh orses", - "Ġh uge", - "or p", - "ĠCirc uit", - "ĠW alt", - "o ons", - "Ġeffect ively", - "Ġoper ational", - "Ġattra cted", - "ĠK ay", - "ach i", - "ĠSw im", - "ĠBris bane", - "Ġs leep", - "ĠS ource", - "Ġt ell", - "ĠSt uart", - "ĠShort ly", - "Ġvis ible", - "Ġstand ings", - "ryst al", - "ĠHe in", - "ĠK ab", - "Ġ7 8", - "ĠRal ph", - "ĠR if", - "B M", - "] ,", - "Ġdu o", - "ew here", - "Ġrem ember", - "Ġ187 9", - "Ġsh ift", - "m usic", - "ĠG et", - "ĠPak istani", - "ĠO il", - "et ers", - "Ġdiscover y", - "Ġprede cess", - "por ter", - "Ġtravel ed", - "Ġw rong", - "ĠFin ance", - "al am", - "Ġprocess ing", - "ĠCh air", - "l ington", - "ition al", - "g om", - "Ġthous and", - "ĠS et", - "oc c", - "ĠMuslim s", - "Ġmuseum s", - "ra ham", - "ĠP att", - "au ge", - "Ġscient ist", - "Ġinstrument al", - "ur rent", - "ach ment", - "197 8", - "h l", - "Ġcom ics", - "Ġte ach", - "Ġsp aces", - "b acks", - "Ġst ress", - "Ġcont ribution", - "Ġunderst and", - "ing ly", - "Ġrest oration", - "ĠStan ford", - "Ġclaim ing", - "Ġannoun ce", - "Ġrecover ed", - "ĠFin ancial", - "ĠMag ic", - "ĠGra ce", - "Ġdef ending", - "Ġevery thing", - "Ġtrad ing", - "Ġmid field", - "E T", - "n ed", - "Ġresc ue", - "W A", - "Ġ urg", - "ĠW u", - "Ġreg ime", - "Ġn urs", - "Ġrel ocated", - "197 7", - "if ted", - "ĠTh ir", - "Ġsent ence", - "ĠPr inc", - "197 5", - "Ġbroadcast ing", - "G erman", - "k ar", - "elf are", - "Ġoccas ions", - "ip per", - "u its", - "ĠCl imate", - "Ġhe aring", - "ĠIn stead", - "Ġte xts", - "Ġ187 5", - "ĠL ock", - "ĠEag les", - "ĠAir lines", - "Ġunder t", - "ann i", - "Ġcas ual", - "ĠD ata", - "Ġemer ged", - "Ġa u", - "ur st", - "Ġsup ports", - "ĠAd v", - "Ġr ub", - "ĠT ogether", - "ĠJ ar", - "Ġfriend ly", - "f amily", - "m ina", - "ĠS oon", - "ĠBer keley", - "ĠPeters burg", - "Ġtrib es", - "port ed", - "ĠPen insula", - "Ġre pr", - "ot he", - "Ġabs ence", - "ail ing", - "ĠUr ugu", - "Ġwhere as", - "Ġmarket ing", - "ĠMad ison", - "ol ition", - "Ġexperiment al", - "ĠDemocrat s", - "as ia", - "Ġb id", - "Ġin ner", - "Ġcommand ed", - "Ġdiam eter", - "Ġsumm ary", - "ĠG ate", - "ĠTh ai", - "Ġaim ed", - "ĠPolit icians", - "ĠEpis ode", - "Ġcompet itive", - "Ġlicens ed", - "Ġvers us", - "Ġbeh alf", - "ĠP od", - "ĠC ert", - "ĠI T", - "Ġmiss ed", - "Ġ7 4", - "ĠG overn", - "ĠO sc", - "Ġ187 7", - "o an", - "Ġoppon ents", - "Ġ7 7", - "ro se", - "id al", - "H A", - "app y", - "ĠB av", - "ed a", - "ĠS ang", - "ic us", - "ĠR ight", - "c aster", - "Ġle af", - "Ġcricket er", - "un es", - "Ġmix ing", - "Ġaffili ated", - "ĠOtt awa", - "Ġqual ify", - "che st", - "ĠI b", - "Ġtourn aments", - "Ġcol ony", - "ĠSched ule", - "Ġ187 1", - "rag ue", - "ag s", - "ĠD est", - "qu arter", - "over y", - "Ġsupport ers", - "Ġdefend ers", - "ag i", - "Ġphys ician", - "ĠLe eds", - "Ġrebu ilt", - "197 4", - "ah l", - "ĠN ear", - "Ġcre ative", - "s pec", - "Ġdrug s", - "ul um", - "ĠBut ler", - "Ġsuppl ies", - "B e", - "Ġkn ew", - "Ġpro port", - "re ck", - "gor ith", - "Ġbe et", - "Ġb acter", - "ĠP ul", - "N T", - "ĠV e", - "Ġs end", - "former ly", - "Ġmon itor", - "ĠC ant", - "ĠCh a", - "um i", - "Ġpred omin", - "as m", - "ĠH ond", - "ĠVi ew", - "ĠK in", - "Ġmass ive", - "Ġcred its", - "Ġt orn", - "Ġ186 7", - "ath on", - "Ġed itions", - "Ġperiod s", - "o ard", - "Ġgall ery", - "Ġwrit es", - "ĠS oph", - "Ġb ridges", - "Ġm ines", - "ĠArch bishop", - "Ġgrand father", - "ne e", - "cl osed", - "ĠChe ster", - "ĠB ald", - "n an", - "Ġdep ending", - "Ġcat alog", - "ĠP ut", - "ĠDe ep", - "Ġse es", - "Ġrat io", - "ĠProdu ctions", - "ĠGerman s", - "medi ate", - "Ġf il", - "up s", - "Ġsw itch", - "Ġv e", - "Ġp seud", - "Ġ187 2", - "anth rop", - "ĠMal ay", - "c ut", - "Ġcharacter ized", - "ig s", - "eral a", - "Ġimmedi ate", - "Ġsuffer ing", - "k an", - "el ia", - "th lete", - "Ġ1 10", - "if ies", - "ĠNe xt", - "Ġf ur", - "Ġ187 4", - "f oot", - "it ure", - "Ġs udden", - "ĠC row", - "ĠAl tern", - "Ġsil ent", - "Ġfac ing", - "ĠEx change", - "ĠMov ie", - "197 6", - "Ġdescrib e", - "ĠMur phy", - "os hi", - "il is", - "Ġtra il", - "Ġconcern ed", - "Ġdis band", - "ix on", - "Ġafter wards", - "ff bb", - "B O", - "ĠS uz", - "Ġturn ing", - "196 0", - "ĠS ierra", - "Ġtrans mission", - "ĠNe il", - "if fer", - "u ador", - "Ġdet ailed", - "ĠFlore nce", - "Ġc ul", - "ro ve", - "Ġcateg ories", - "hem atic", - "ĠChristian ity", - "s or", - "au kee", - "ĠN R", - "or ous", - "Ġorgan isations", - "ĠNew castle", - "Ġarrang ement", - "Ġn inth", - "Ġhundred s", - "c f", - "Ġadvert ising", - "is ch", - "ĠWell ington", - "Ġh olid", - "ĠO cc", - "Ġconcent ration", - "ĠComm ons", - "Ġlegisl ative", - "u able", - "Ġpublic ly", - "Ġran ks", - "our se", - "qu ir", - "Ġpr inc", - "Ġ186 8", - "Ġrapid ly", - "Ġcon certs", - "unc redited", - "er ted", - "ow ed", - "Ġex ists", - "t rans", - "Ġpercent age", - "Ġ7 3", - "az e", - "ric ted", - "Ġ8 8", - "on ies", - "ĠC arn", - "ĠR af", - "ĠChrist ians", - "the less", - "ĠS ox", - "ĠM ath", - "W h", - "Ġcomment ed", - "M y", - "ĠPar ks", - "re leased", - ".. ..", - "ele ct", - "ĠM ol", - "Ġview ers", - "ĠSus an", - "enc ing", - "ĠEd die", - "ĠLe o", - "ĠHamb urg", - "Ġst yles", - "ĠAb u", - "Ġrecomm end", - "Ġad ults", - "Ġsign ificance", - "Ġcon st", - "min ute", - "194 5", - "Ġw at", - "Ġsign s", - "ew ay", - "ĠFriend s", - "Ġth ing", - "ĠGil bert", - "ĠUnt il", - "ĠInd ependence", - "Ġcon vention", - "ĠN A", - "ia o", - "Ġd ual", - "ĠHeb rew", - "Ġsp ending", - "ring ton", - "Ġ8 2", - "Ġins urance", - "ĠSecond ary", - "Ġunus ual", - "p any", - "Ġencoura ged", - "yl er", - "ĠRay mond", - "Ġw ants", - "onom ous", - "ĠWil helm", - "I L", - "ber ry", - "ff ield", - "Ġgrad ually", - "Ġ7 1", - "Ġident ify", - "ĠSer ie", - "ĠAgric ulture", - "Ġatt ending", - "Ġexc av", - "Ġ186 6", - "ĠWrit ing", - "ĠN ott", - "Ġbeg un", - "Ġ6 9", - "Ġf antasy", - "Ġwithd rew", - "Ġgreat ly", - "ĠJ in", - "Ġfac ilit", - "Ġl ibr", - "Ġle agues", - "Ġw el", - "Ġopportun ities", - "ĠN athan", - "ent i", - "em ed", - "ab el", - "ic he", - "O n", - "Ġsee king", - "ro id", - "at ra", - "ath y", - "ĠK erala", - "ran o", - "Ġdefin ition", - "p in", - "Ġapart ment", - "Ġvot ers", - "Ġelect ron", - "ĠCru z", - "Ġpar ks", - "Ġw ard", - "ĠEv ents", - "Ġhel ic", - "Ġ9 9", - "ĠRev ival", - "Ġrhy thm", - "Ġpal ace", - "ĠRel ations", - "it ual", - "ĠC elt", - "Ġpat ient", - "Ġbenef its", - "Ġ18 40", - "ĠSom ers", - "ĠScient ific", - "av i", - "ĠT ennis", - "ĠTun is", - "Ġh al", - "if inals", - "Ġpar am", - "Ġdisestabl ishments", - "Ġ6 00", - "Ġg ymn", - "ri en", - "ĠD in", - "cc a", - "ĠPh D", - "197 2", - "ris on", - "Ġorgan ised", - "Ġg one", - "Ġcorpor ate", - "Ġmake up", - "h n", - "iven ess", - "ir k", - "l ik", - "Ġsculpt ure", - "ĠArn old", - "ĠDoc ument", - "ĠSt ef", - "Ġres emb", - "ĠR ah", - "ĠCong o", - "Ġ187 3", - "ĠL akes", - "ot ion", - "Ġcompon ent", - "197 3", - "Ġweap on", - "St ation", - "C ol", - "Ġfor wards", - "ĠLu ke", - "ab e", - "Ġ9 6", - "Ġrep air", - "ĠK le", - "Ġde struction", - "oss ible", - "Ġb iography", - "m aking", - "ĠL ear", - "Ġo cean", - "v et", - "Ġmat hematics", - "Ġcoal ition", - "ĠWars aw", - ". ),", - "w aukee", - "Ġass ets", - "Ġevery one", - "Ġp y", - "Ġcl an", - "Ġinteg rated", - "Ġamong st", - "c ase", - "Ġcivil ian", - "r ates", - "ĠM uch", - "Ġac oustic", - "Ġgu ilty", - "g ame", - "ĠA ctor", - "Ġsp in", - "Ġphotograph s", - "ĠFem ale", - "P l", - "ĠLeban on", - "ĠKaz akh", - "Ġposs ession", - "P R", - "Ġview ed", - "Ġce ased", - "ag ement", - "Ġc able", - "Ġnob le", - "Ġex ception", - "Ġpro hib", - "ĠLeon ard", - "Ġw et", - "Ġst able", - "l ift", - "isc opal", - "k w", - "Ġcl ar", - "over e", - "Th is", - "Ġbelong ed", - "arri er", - "Ġrun ners", - "u ber", - "ov an", - "rat ors", - "Ġpat ron", - "ĠM ut", - "ĠPaul o", - "arg ed", - "Ġsubsidi ary", - "Ġhonor ary", - "Ġra c", - "rehens ive", - "Ġh at", - "Ġfrequ ent", - "ch ing", - "Ġcon j", - "Ġpart ially", - "ĠEc uador", - "ub a", - "ĠA chie", - "Ġsw it", - "ĠT ed", - "ĠFried rich", - "ĠT ong", - "Ġb orders", - "ĠM ik", - "ĠReg ular", - "Ġleg s", - "Ġfarm ers", - "Ġsub stitute", - "ĠEconom ics", - "Ġe asy", - "as ant", - "ĠS uch", - "Ġext ent", - "ĠC ork", - "ĠAr c", - "ĠBaron et", - "form ing", - "Ġp ul", - "Ġb orough", - "ĠM ust", - "r s", - "ĠN ak", - "ĠD ol", - "and om", - "od ed", - "ap se", - "ĠConfeder ate", - "an ced", - "ĠE sc", - "ĠAnn ual", - "ĠTax onomy", - "Ġearn ing", - "Ġcustom ers", - "Ġuse ful", - "min ster", - "ĠF ig", - "Ġmov ies", - "Ġtrad ed", - "ĠH aving", - "Ġg ate", - "Ġinc umbent", - "Ġev ac", - "ĠSe an", - "Ġk it", - "r us", - "ĠLat ino", - "ĠFell ows", - "Ġphys ics", - "ĠArt icle", - "ĠGh ost", - "ĠAll ied", - "Ġimplement ed", - "Ġ ),", - "ĠH ale", - "Ġplay wright", - "Ġsust ain", - "Ġphen omen", - "ĠR idge", - "Ġmarg in", - "b en", - "i ago", - "Ġtr uth", - "ok ie", - "ĠBr uns", - "Ġdeploy ed", - "Ġterm inal", - "Ġrel ation", - "Ġpe oples", - "Ġelect rical", - "Ġw edding", - "Ġon going", - "Ġsim ultane", - "it ars", - "ĠDomin ican", - "Ġsurv iv", - "ĠS ic", - "Ġmurder ed", - "B E", - "i ology", - "ĠProte ction", - "h our", - "iv ic", - "Ġto mb", - "Ġprov inces", - "ĠChap el", - "ĠL ig", - "ĠTeam s", - "Ġv olleyball", - "ĠWat son", - "ĠK id", - "E l", - "str ong", - "ĠB ent", - "Ġpick ed", - "ram s", - "ĠProv incial", - "Ġsec ured", - "Ġdismiss ed", - "Ġconserv ative", - "Ġ8 1", - "Ġsong writer", - "Ġoccas ion", - "Ġspons ored", - "ov ich", - "art a", - "ĠG az", - "ĠSy rian", - "ect or", - "Ġt ort", - "Ġc emetery", - "ĠPr ison", - "Ġapparent ly", - "Ġto ured", - "ort on", - "Ġport rait", - "ven ge", - "ĠProtest ant", - "ĠM ul", - "er i", - "ĠN C", - "ĠMusic ians", - "ull ivan", - "ĠIm m", - "ĠB ond", - "ĠPhill ips", - "Ġel dest", - "ĠJ ur", - "r n", - "h aus", - "ĠInit ially", - "ĠVen ice", - "ĠLe ader", - "Ġstrugg le", - "Ġm atters", - "ul us", - "a a", - "ĠMo z", - "ry s", - "ĠAddition al", - "ĠSing le", - "ĠS ony", - "Ġweek end", - "J an", - "al g", - "ĠCo ach", - "Ġprincip les", - "ĠStud ents", - "Ġcomplet ing", - "Ġb attalion", - "Ġjun ction", - "ĠL amb", - "o ffic", - "ĠR ange", - "ĠGuard ian", - "Ġsubstant ial", - "ĠForm ation", - "Ġbe autiful", - "te am", - "Ġdr ummer", - "Ġas c", - "ĠS yl", - "ĠHar vey", - "ĠStud ent", - "Ġmin eral", - "ac a", - "ĠWall ace", - "ov sky", - "Ġtre nd", - "Ġengine ers", - "ap ped", - "Ġc argo", - "d al", - "iss a", - "ĠE C", - "Ġdraf ted", - "Ġoper ator", - "ĠLeg end", - "Ġp ure", - "Ġiniti ative", - "ĠO g", - "Ġsym pt", - "ins ky", - "ĠCom mercial", - "u ations", - "Ġh ope", - "Ġg rey", - "Ġread y", - "und a", - "ĠInt elligence", - "er as", - "if ier", - "ĠCard inals", - "Ġdiscuss ed", - "ĠW ells", - "ĠD rama", - "ĠFilip ino", - "Ġphot o", - "ff ee", - "196 8", - "reprene ur", - "Ġalcoh ol", - "Ġmanufact urer", - "Ġim perial", - "ĠK ash", - "Ġcho ose", - "Ġmount ed", - "ĠSud an", - "Ġtra p", - "w ald", - "Ġs essions", - "Ġb io", - "Ġ9 7", - "em a", - "ĠB ach", - "Ġgu ide", - "Ġb ishops", - "ae us", - "om ic", - "Ġcl othing", - "Ġmov es", - "Ġexpl o", - "Ġm o", - "ĠTom my", - "Ġacc ord", - "ĠRoc he", - "O ct", - "ĠF ighter", - "Ġex cess", - "Ġ186 9", - "ĠSh ir", - "Ġren ov", - "E d", - "ĠOut standing", - "ĠB eth", - "Ġc ash", - "ol en", - "3 00", - "hemat ical", - "Ġy ield", - "vious ly", - "Ġ8 00", - "ĠHug hes", - "ĠC red", - "Ġtal ent", - "f urt", - "ĠJ ak", - "Ġreve als", - "Ġcon stitution", - "Ġb anned", - "Ġfund ed", - "197 1", - "ĠS ul", - "Ġpass age", - "Ġrespond ed", - "ĠP os", - "ĠL or", - "s uch", - "ĠCon st", - "Ġtri als", - "ĠNash ville", - "u j", - "Ġcommun ications", - "Ġenjoy ed", - "ĠDiv isin", - "Ġind ex", - "ĠHe at", - "Ġestablish ing", - "M arch", - "im o", - "eral ly", - "ro ke", - "Ġvac c", - "Ġdisplay ed", - "ĠK il", - "og an", - "ĠTre as", - "Ġdeb t", - "am er", - "ĠTas man", - "ĠShang hai", - "Ġplay off", - "I R", - "Ġdisc ontin", - "ĠC ov", - "Ġvarian t", - "ĠNe igh", - "Ġfun eral", - "ript ions", - "au er", - "ĠCh an", - "n ew", - "Ġres ort", - "Ġpart ly", - "Ġre venue", - "ĠCompet ition", - "p m", - "Ġp ale", - "ĠM old", - "gom ery", - "ĠColumb us", - "ĠRh ode", - "z ig", - "ific ial", - "Ġint ellectual", - "atche wan", - "sequ ently", - "Ġpartn ers", - "Ġas ks", - "ĠG as", - "ĠIs s", - "Ġdise ases", - "ĠH az", - "act s", - "Ġthr iller", - "Ġregul ations", - "Ġp ip", - "Ġex posed", - "Ġcon greg", - "ĠO ber", - "Ġout break", - "ĠMar qu", - "Ġfal se", - "ĠId aho", - "Ġst rict", - "Ġex ceed", - "ĠR aw", - "ort ion", - "196 9", - "Ġmerg er", - "ĠL ac", - "ĠGreg ory", - "ĠSc reen", - "Ġstep s", - "Ġrem ove", - "Ġout er", - "ĠChap ter", - "ĠGabri el", - "Ġl ingu", - "Ġal gorith", - "Ġposs ibility", - "Ġass ists", - "sc ale", - "ĠDr ive", - "Ġchar ity", - "m ill", - "ĠR us", - "Ġesc ort", - "ĠFour th", - "ĠB ear", - "em e", - "ĠJac ques", - "Ġany one", - "Ġfocus es", - "Ġadv ice", - "ĠJo an", - "ĠAb raham", - "I M", - "N ov", - "Ġ7 9", - "ĠHig her", - "Ġthr one", - "ic ity", - "Ġv ul", - "ĠVill a", - "Ġlab our", - "Ġapp ly", - "ed eration", - "Ġdebut s", - "Ġoppon ent", - "ĠD im", - "Ġbatter y", - "ĠF ictional", - "ĠFer r", - "Ġsur ve", - "ĠRes erv", - "Ġtun nel", - "ĠEle ctions", - "Ġdr iven", - "Ġjurisd iction", - "Ġl ose", - "Ġdisp ute", - "ĠWork ers", - "E x", - "lov ak", - "ĠH at", - "Ġcontin u", - "ĠShe ffield", - "Ġch oir", - "ĠMer it", - "K O", - "ĠS ut", - "ĠRam s", - "ent le", - "ĠMicro soft", - "Ġ8 7", - "in um", - "ĠLeg ion", - "Ġm os", - "Ġext reme", - "Ġ ib", - "Ġ9 8", - "ĠC ec", - "ĠIn g", - "ish a", - "m other", - "ai ro", - "ĠThrough out", - "ĠOr d", - "Ġliber al", - "ĠN g", - "ĠW as", - "Ġfall ing", - "Ġr ated", - "Ġliqu id", - "ro st", - "ĠP S", - "Ġcap s", - "Ġup grad", - "Ġcomp iled", - "ĠBruns wick", - "ĠMig uel", - "ĠY ellow", - "ĠLa ura", - "Ġdomin ated", - "Ġimm igrants", - "ah an", - "Ġrese ar", - "ĠSask atchewan", - "Ġscholar ship", - "up t", - "Ġass emb", - "ĠJ oint", - "Ġsol ar", - "ĠPlay Station", - "ĠArab ia", - "ir us", - "Ġ184 8", - "Ġtw in", - "an ion", - "ĠE ight", - "ick ing", - "ĠSeb ast", - "ad r", - "ĠW ag", - "Ġminor ity", - "ck er", - "Ġwear ing", - "Ġrecip ient", - "Ġexclus ively", - "Ġkeep ing", - "ip ped", - "ĠM ills", - "Ġall iance", - "ĠS ett", - "ĠSt ru", - "Ġsett lers", - "lim inary", - "Ġconne cting", - "O T", - "Ġdes ire", - "it ol", - "Ġgen etic", - "Ġcomp ens", - "Ġnorm ally", - "ut a", - "ĠStud y", - "Ġw ire", - "ĠP rice", - "ĠMont gomery", - "Ġdecision s", - "Ġassist ed", - "Ġdisc rim", - "ĠAh med", - "Ġj ury", - "ers hire", - "Ġcon stitutional", - "ĠNap ole", - "Ġre duction", - "A nd", - "ĠDev on", - "ĠMil waukee", - "ĠTib et", - "Ġ8 4", - "ac ional", - "ĠBab y", - "Ġ185 9", - "Ġunder w", - "H P", - "Ġcond em", - "akes pe", - "Ġro ots", - "Ġt anks", - "ĠAthlet es", - "ĠOb serv", - "ĠPoet ry", - "ĠCar r", - "E L", - "Ġst em", - "Ġprodu ces", - "ĠFran co", - "ĠEs sex", - "Ġd iver", - "m id", - "iz z", - "Ġloc ally", - "C om", - "ĠE ff", - "ĠR uth", - "Ġsequ el", - "Ġdec ides", - "Ġspe aking", - "ĠVlad imir", - "Ġrequ ested", - "uz z", - "ĠScot ia", - "our g", - "19 50", - "ĠC C", - "agon ist", - "cent ral", - "Ġattra ctions", - "ĠPer th", - "h aw", - "ĠMar a", - "ĠTrans l", - "est y", - "ĠS T", - "ĠB ag", - "d ire", - "Ġpattern s", - "ĠM idd", - "Ġmid fielder", - "ĠH ab", - "ĠD anny", - "Ġconstitu encies", - "Ġ9 2", - "Ġtrad itions", - "Ġto urs", - "ĠEngine ers", - "ĠF lying", - "ok u", - "ĠA x", - "Ġgener ated", - "Ġclin ical", - "ĠSw an", - "cy cle", - "Ġro ster", - "Ġcircum stances", - "ĠJ en", - "ab ric", - "Ġsub mitted", - "Ġgrow s", - "Ġem peror", - "Ġcompet itors", - "ie u", - "ĠPal mer", - "Ġne arest", - "Ġess ential", - "p hew", - "Ġclos ing", - "t ers", - "ĠSc ar", - "Ġt ons", - "' ll", - "u ly", - "Ġimplement ation", - "f am", - "ĠMaur ice", - "er r", - "eth yl", - "Ġ185 7", - "d ef", - "ĠGi ov", - "Ġm al", - "ĠRh odes", - "Ġb ay", - "Ġcon clusion", - "Ġunc ertain", - "oc ene", - "Ġne ither", - "Ġf old", - "ĠAir craft", - "est one", - "end ers", - "ĠCy pr", - "ĠF iction", - "Ġpurs ue", - "Ġst ab", - "Ġconne ct", - "osp el", - "Ġcont roll", - "ĠT all", - "Ġr ising", - "ĠBen ed", - "p y", - "Ġbe ating", - "ĠV oice", - "ĠCh urches", - "\" :", - "ĠA j", - "Ġlim its", - "ĠL ok", - "ĠGro ve", - "ĠMar io", - "Ġ8 6", - "ĠP ath", - "Ġb in", - "bor g", - "A d", - "Ġprop ag", - "CA R", - "Ġdivers e", - "ĠP rague", - "Ġs isters", - "ĠEx am", - "Ġen forcement", - "ĠYugoslav ia", - "ĠRena issance", - "Ġbound aries", - "Ġv ast", - "ab i", - "U K", - "Ġdeliver y", - "r ating", - "l ist", - "Ġf it", - "Ġmon astery", - "Ġterm inus", - "om i", - "Ġlow est", - "Ġunsuccess ful", - "ĠSomers et", - "e ing", - "Ġbre aking", - "Ġ9 3", - "a ude", - "ra wn", - "Ġelectric ity", - "ĠDe uts", - "Ġexhib itions", - "ĠLeg al", - "ĠF ly", - "ĠK i", - "f irst", - "b one", - "Ġgro ss", - "Ġappropri ate", - "Ġacqu isition", - "ĠG amb", - "as er", - "Ġcross ed", - "he nt", - "Ġst yl", - "Ġvict im", - "Ġb right", - "Ġiniti ated", - "A t", - "uss ia", - "Ġbal ance", - "ro ph", - "Ġto uring", - "Ġclos er", - "ĠE ld", - "ĠUn incorporated", - "ĠC inema", - "Ġmidfield ers", - "Ġs ailed", - "ĠT able", - "ĠD aw", - "Ġacknow led", - "qu er", - "n amese", - "att a", - "ĠT ir", - "Ġtop ics", - "ĠMe chan", - "l ia", - "Ġint ention", - "Ġmanag ing", - "av or", - "ĠRevolution ary", - "Ġsh ock", - "Ġconne ctions", - "ĠFran z", - "cl os", - "ĠW ald", - "Ġs ight", - "Ġcon vert", - "Ġmat hematic", - "Ġprodu ctions", - "ĠV ent", - "end a", - "Ġe at", - "ĠAr med", - "196 7", - "av ia", - "ĠNew ton", - "l ain", - "Ġnovel ist", - "ĠJ ung", - "ĠSh akespe", - "ĠAbd ul", - "Ġne ck", - "Ġmechan ical", - "ĠKr ish", - "Ġto ol", - "ĠC u", - "B est", - "ĠRon ald", - "ill es", - "ĠFurther more", - "Ġr is", - "Ġhe ir", - "pl ed", - "' d", - "Ġcou p", - "ĠM ang", - "Ġrespect ive", - "h in", - "Ġm asc", - "Ġnar rative", - "Ġcontin uous", - "ap est", - "Un ited", - "l u", - "Ġp or", - "et o", - "ro e", - "tra cks", - "Ġ18 30", - "ĠMc M", - "Ġ8 9", - "Ġre organ", - "Ġdiscuss ion", - "Ġreb ell", - "ĠCub an", - "ĠOsc ar", - "c os", - "ij a", - "ĠOt to", - "ĠCom merce", - "ĠClar ke", - "ĠGu ild", - "ĠPalest ine", - "ĠIndian apolis", - "ĠNott ingham", - "ĠV ern", - "Ġconvers ion", - "ath i", - "ic as", - "ĠIn stitut", - "ĠDel ta", - "Ġman if", - "U C", - "el in", - "ĠCamer on", - "ĠA ires", - "Ġparticip ating", - "Ġpit cher", - "ĠR aid", - "c ore", - "Ġre ct", - "Ġstrateg ic", - "v ar", - "Ġtreat y", - "we b", - "ans k", - "Ġnot ice", - "Ġcondu ctor", - "Ġmar ry", - "ĠA aron", - "ĠW ed", - "Ġnegoti ations", - "193 9", - "Ġsc en", - "e o", - "Ġimp ress", - "s ur", - "ar ation", - "ĠArch ives", - "Ġhous ed", - "ĠSp encer", - "ĠUg anda", - "ri ft", - "Ġsee ing", - "Ġex ecution", - "Ġrem ix", - "ap pro", - "Eng lish", - "Ġresign ation", - "Ġ8 3", - "sec ond", - "ĠH ous", - "ĠMot ors", - "Ġstreng then", - "ĠVal ent", - "eng u", - "ĠF at", - "ĠM orning", - "ĠP and", - "Ġse vent", - "Ġorig ins", - "Ġmar ks", - "Ġinvol ves", - "Ġsubmar ine", - "Ġtr uck", - "ad ier", - "ĠBl ock", - "ĠChile an", - "ĠG T", - "Ġhe ar", - "Ġcamp s", - "ĠFace book", - "ĠSt ill", - "Ġco operation", - "Ġs ang", - "Ġtim ber", - "Ġf itted", - "ĠIsa ac", - "Ġbas es", - "Ġphot ographer", - "ĠPhil osophy", - "Ġisol ated", - "ĠSte in", - "Ġbe auty", - "ĠB od", - "ĠStock holm", - "Ġillust rated", - "Ġt urb", - "Ġconcern ing", - "d isc", - "Ġel se", - "ĠMethod ist", - "Ġal ter", - "R T", - "ĠB ak", - "ath a", - "} }", - "Ġcampaign s", - "ĠByz antine", - "av ier", - "ĠDist inguished", - "Ġsuper ior", - "writ ing", - "Ġg ard", - "Ġa qu", - "Ġr ide", - "t ar", - "Ġc attle", - "Ġexhib ited", - "is che", - "ĠJust in", - "Ġsele ct", - "ĠBr as", - "Ġman age", - "y gen", - "Ġout standing", - "Ġtrib ute", - "ĠArch ive", - "Ġg al", - "Ġst im", - "ĠOak land", - "J ohn", - "u ros", - "ĠHind i", - "ze gov", - "alle st", - "ĠMach ine", - "Ġo verseas", - "v ol", - "ĠPrinc eton", - "Ġprinc iple", - "ne x", - "on ly", - "om o", - "Ġcol ors", - "Ġphot os", - "Ġcontribut ing", - "ĠA w", - "Ġag ree", - "Ġsl ave", - "Ġmanufact urers", - "Ġ10 1", - "Ġcon vin", - "ĠC F", - "ĠH ir", - "Ġviol ent", - "E N", - "ĠThere fore", - "h istor", - "ator ial", - "h al", - "Ġexerc ise", - "Ġmechan ism", - "Ġh orn", - "Ġs alt", - "Ġtrav elled", - "ol and", - "ĠD ame", - "Ġeconom ics", - "ĠLe ft", - "ĠLiber ty", - "Ġess ay", - "Ġprote ins", - "Ġmanufact ured", - "Ġr itual", - "ĠAc cess", - "ĠNorth west", - "Ġindu cted", - "os lovak", - "Ġsurv ive", - "Ġdescrib ing", - "ig ious", - "na issance", - "Ġdisc ip", - "Ġ ur", - "ĠW here", - "Ġorig inated", - "aur us", - "Ġj u", - "is an", - "196 5", - "r ors", - "ĠB ears", - "ĠP resent", - "Ġfilm ing", - "Ġinternational ly", - "Ġm or", - "ĠRe yn", - "song writer", - "Ġper mission", - "ĠDur ham", - "r ont", - "ant i", - "et ary", - "Ġpromot ing", - "ĠSh ips", - "Ġdef ended", - "ar u", - "Ġkid n", - "F or", - "ĠRo om", - "f ilm", - "Ġrad ical", - "Ġpet ition", - "Ġa thlete", - "Ġsuit able", - "col span", - "V P", - "ĠC hess", - "Ġpict ures", - "ĠF ra", - "ang le", - "ĠR ut", - "uss els", - "ĠShakespe are", - "Ġg iant", - "ĠLi u", - "ĠS ter", - "it ic", - "O r", - "rie ved", - "c or", - "H z", - "ĠAmaz on", - "Ġun incorporated", - "t ains", - "Ġinterview s", - "Ġf at", - "Ġvir us", - "Ġincre ases", - "fr ont", - "c ott", - "ĠL ak", - "Ġwealth y", - "Ġrep orter", - "Ġdiplom atic", - "art et", - "ĠJohann es", - "Ġm aps", - "Ġminist ry", - "Ġrestaur ants", - "m ir", - "ili ar", - "Ġan alog", - "writ ten", - "umber land", - "te g", - "Ġ185 4", - "Ġegg s", - "Ġinflu ences", - "b oys", - "ĠRe ed", - "ĠBenn ett", - "ĠJama ica", - "or ious", - "ĠK ill", - "Ġor n", - "form s", - "ĠE SP", - "Ġt ies", - "ĠN ame", - "4 00", - "Ġlat est", - "cul es", - "ĠBu enos", - "Ġfight ers", - "Ġdo ors", - "Ġdist ribut", - "Ġconf ig", - "ĠLe ic", - "il o", - "Ġm it", - "Ġre aches", - "Ġm amm", - "ic ia", - "ro y", - "ĠCh i", - "Ġinn ov", - "20 23", - "Ġcl ock", - "Ġhel ps", - "Ġthe rm", - "ĠK ate", - "ĠL ess", - "l ag", - "ĠN ancy", - "C o", - "Ġreleg ated", - "pt y", - "Ġchalleng es", - "ĠCab inet", - "ĠGe off", - "zegov ina", - "ir ms", - "ĠK arn", - "ĠK as", - "ĠF olk", - "Ġne uro", - "f a", - "ph is", - "ĠL ett", - "ĠFor um", - "ĠF oster", - "enh agen", - "ĠB ros", - "ĠMan it", - "Ġin put", - "Ġge omet", - "Ġmet ropolitan", - "ĠCypr us", - "Ġ9 1", - "Ġpers u", - "ens on", - "p ubl", - "Ġexp and", - "Ġcollabor ated", - "ang ular", - "O L", - "Ġinc om", - "ĠGrand e", - "Ġdr um", - "Ġfl ights", - "Ġd angerous", - "Ġprepar ation", - "ĠS old", - "ĠPan ama", - "iv o", - "vel t", - "ĠMont ene", - "ateg ory", - "Ġr andom", - "ph ib", - "Ġfif teen", - "Ġrecogn ised", - "196 6", - "ĠViet namese", - "ĠK ol", - "ĠGoth ic", - "ĠSus sex", - "ĠRe ading", - "Ġbi ological", - "oy age", - "Ġhunt ing", - "Ġsy mp", - "ĠK or", - "Ġc ouncill", - "ĠC raw", - "ĠEncyclop edia", - "ĠConc ert", - "ĠLiter ary", - "ou ch", - "Ġland ed", - "ĠTod d", - "ĠI sh", - "Ġathlet ics", - "as hes", - "196 4", - "J une", - "Ġhy per", - "Ġdoes n", - "Ġsim pl", - "Ġdomin ant", - "ĠRelig ious", - "Ġadvent ure", - "Ġfor g", - "ĠB rid", - "ett i", - "Ġapp re", - "ok o", - "Ġgu ar", - "Ġsm ooth", - "by ter", - "Ġb er", - "ĠDe b", - "Ġcle arly", - "Ġfin ance", - "ed ed", - "Ġtemper atures", - "Ġ185 5", - "ul ating", - "ĠO wn", - "ic ing", - "ĠV ar", - "ĠSh oot", - "ĠTr in", - "Ġbut ter", - "A pril", - "A ugust", - "not es", - "ie v", - "ĠC N", - "Ġdep ict", - "ĠM obile", - "ĠSalv ador", - "ĠLuc as", - "Ġ185 8", - "ĠG y", - "Ġsc ores", - "ĠP ent", - "E M", - "Ġreport ing", - "ĠPet e", - "ĠEm ir", - "ur as", - "um er", - "ĠArt icles", - "ĠCzech oslovak", - "Ġchar ter", - "Ġf asc", - "ĠB ased", - "Ġdesign ation", - "ĠG mina", - "Ġm arch", - "Ġ18 00", - "ĠEd itor", - "Ġthere after", - "ĠPro per", - "ĠAm bassador", - "ĠAlban ian", - "Ġ rib", - "Ġw aste", - "ats u", - "Ġdepart ed", - "ĠD y", - "Ġfem in", - "ĠC itations", - "ĠZh ang", - "Ġbelie ves", - "ib ilities", - "Le ague", - "Ġs ample", - "ĠP on", - "ĠGram my", - "es a", - "ran k", - "Ġsumm it", - "Ġcompos itions", - "Ġrest ricted", - "l en", - "re f", - "Ġinte gr", - "ĠD ale", - "ric ks", - "re ction", - "art s", - "ĠAng els", - "Ġa viation", - "Ġaccess ible", - "it us", - "ĠHar bor", - "ĠD as", - "ĠM ull", - "ĠM umb", - "Ġs ket", - "Ġvis its", - "ĠE t", - "ĠR i", - "Ġdepart ments", - "Ġ9 4", - "on na", - "ĠG ur", - "row s", - "ock et", - "Ġlegisl ature", - "ĠJun ction", - "Ġearthqu ake", - "ĠP ract", - "Ġvent ure", - "ĠKenn eth", - "ĠC itiz", - "be k", - "ĠPopul ar", - "Ġtr ump", - "z on", - "J apan", - "ific ate", - "ĠAn y", - "Ġdel ayed", - "Ġbon us", - "c in", - "ĠZ imb", - "Ġdep icted", - "ĠIraq i", - "Ġfast est", - "ĠMc D", - "f ree", - "ĠS uff", - "Ġbrig ade", - "Ġpian ist", - "Ġpre t", - "D R", - "d ess", - "ra h", - "ad ian", - "ĠC yr", - "Ġn inet", - "ĠG ren", - "Ġsympt oms", - "Ġmach ines", - "Ġt el", - "Ġb aby", - "al m", - "t wo", - "Ġel igible", - "ĠF ul", - "ĠN as", - "ĠSant iago", - "ĠK w", - "Ġph arm", - "l og", - "ĠNov els", - "Ġac res", - "uch i", - "if ts", - "Ġclos ure", - "Ġacadem y", - "Ġsl aves", - "ĠEag le", - "ĠCo x", - "19 40", - "B L", - "aj i", - "ill on", - "ĠDec ision", - "Oct ober", - "Ġsound s", - "ĠHer zegovina", - "Ġf ee", - "g ments", - "Ġra bb", - "Ġlay er", - "ĠP om", - "cf c", - "Ġdemonst rated", - "om orph", - "ĠMe g", - "Ġg ram", - "ĠFinal ly", - "ĠAm ateur", - "Ġpre st", - "ĠE k", - "Ġnovel ists", - "ĠM C", - "Ġch ron", - "Ġinsp iration", - "ĠRail ways", - "Ġne phew", - "apt ers", - "Ġleg acy", - "ĠL isa", - "Ġ els", - "m n", - "ĠX X", - "Ġn ut", - "Ġtrans m", - "u ke", - "ploy ment", - "Ġt ested", - "Ġdev oted", - "ĠL az", - "Ġpre ferred", - "Ġc avalry", - "Ġf ill", - "Ġgu ests", - "ĠEle ctoral", - "ĠArmen ia", - "Ġam bassador", - "ĠWild life", - "over ed", - "ĠK re", - "ok es", - "ĠOver view", - "ash ire", - "Ġcorrespond ing", - "Ġgu itars", - "ĠS aw", - "Ġcon stitut", - "ĠA ch", - "Ġarrang ements", - "ĠEd mund", - "ĠGu ards", - "Ġcert ified", - "Ġdis ch", - "Ġbl og", - "Ġ184 9", - "on ne", - "Ġp ointed", - "ĠTh ose", - "ĠB anks", - "Ġline ar", - "b ing", - "anim ous", - "Ġburn ed", - "b ie", - "e an", - "ĠM ade", - "ab we", - "Ġattempt ing", - "Ġus age", - "Ġsub sc", - "ĠD j", - "em ies", - "Ġupd ated", - "ĠM n", - "ĠR overs", - "Ġshop ping", - "mar ks", - "ĠOw en", - "ĠRo ose", - "ren cy", - "Ġaltern ate", - "ĠP ick", - "Ġco oper", - "Ġstruct ural", - "Ġide al", - "Ġen h", - "b ank", - "h all", - "ag ers", - "at ics", - "ĠB il", - "ĠTw enty", - "Ġhor iz", - "ric a", - "count ry", - "Ġro cks", - "Ġ185 6", - "ĠMarc us", - "or ge", - "ĠP ep", - "19 18", - "Ġs aved", - "ens en", - "ĠCom edy", - "mon th", - "Ġav o", - "Ġ185 2", - "Ġcon fess", - "Ġr id", - "ĠD uc", - "Ġlist ings", - "ĠI P", - "ĠP iet", - "Ġext end", - "Ġr iding", - "Ġvert ical", - "ĠMan ila", - "ĠRelig ion", - "ĠM TV", - "ĠAn a", - "Ġinher ited", - "Ġwid er", - "b as", - "i ens", - "ĠGl ou", - "Ġde emed", - "ĠLithuan ia", - "ĠMar x", - "Ġgard ens", - "rup ted", - "Ġanim ation", - "ĠSh op", - "ĠInd igenous", - "ro d", - "Ġs iege", - "uck er", - "Ġwid th", - "en er", - "ind a", - "O ne", - "ĠC rist", - "az i", - "ĠS of", - "ĠV il", - "ĠG ael", - "c ano", - "Ġtor ped", - "ĠB un", - "Ġrev ised", - "Ġappro ached", - "U P", - "Ġqual ification", - "s he", - "Ġrele vant", - "Ġindust ries", - "Ġres umed", - "ĠS ene", - "ĠEston ian", - "ĠBro oks", - "Ġen rolled", - "am ation", - "ĠTe xt", - "ĠH ass", - "ro oms", - "ĠWinn er", - "T e", - "Ġdep ression", - "Ġpers pective", - "ĠM am", - "Ġrec alled", - "Ġt um", - "ĠN ine", - "ĠRod rig", - "ĠP or", - "z ing", - "Ġcan al", - "Ġpract ical", - "Ġrecover y", - "Ġab olished", - "ĠA ur", - "p ost", - "ĠLe x", - "ĠOb ama", - "ut ed", - "od ia", - "ĠEx hibition", - "ĠCol in", - "intend o", - 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"Ġboss": 12418, - "Ġawareness": 12419, - "Ġtill": 12420, - "Ġnickname": 12421, - "ĠShield": 12422, - "ĠBark": 12423, - "ĠTanz": 12424, - "Ġlocomotive": 12425, - "Ġcoinc": 12426, - "ĠLiv": 12427, - "Ġdefender": 12428, - "Ġveteran": 12429, - "1958": 12430, - "ĠHD": 12431, - "ystem": 12432, - "ĠCurrently": 12433, - "sm": 12434, - "Ġdemands": 12435, - "ĠPlaying": 12436, - "Ġfundamental": 12437, - "third": 12438, - "sha": 12439, - "ĠGlass": 12440, - "GC": 12441, - "ĠMales": 12442, - "ĠDuncan": 12443, - "Ġcollapse": 12444, - "Ġquarterback": 12445, - "Ġshops": 12446, - "Ġsugar": 12447, - "Ġanswer": 12448, - "ĠWool": 12449, - "axy": 12450, - "Ġbombing": 12451, - "Ġcomparison": 12452, - "Ġcollaps": 12453, - "ĠBelgrade": 12454, - "manuel": 12455, - "inating": 12456, - "ĠCore": 12457, - "Ġbuses": 12458, - "Ġ1847": 12459, - "ĠXI": 12460, - "ambers": 12461, - "lez": 12462, - "Ireland": 12463, - "ĠWoods": 12464, - "ĠCR": 12465, - "ciation": 12466, - "Ġemotional": 12467, - "world": 12468, - "UN": 12469, - 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"boat": 12627, - "ĠLithuanian": 12628, - "Ġsuspension": 12629, - "Ġprocedure": 12630, - "length": 12631, - "usa": 12632, - "Ġdialect": 12633, - "ateral": 12634, - "Ġvariable": 12635, - "Ġcomprehensive": 12636, - "esis": 12637, - "Ġhidden": 12638, - "ipur": 12639, - "asan": 12640, - "Ġgolden": 12641, - "Ġexhibit": 12642, - "ĠAlbania": 12643, - "ĠUniversities": 12644, - "Ġcrosses": 12645, - "Ġcoron": 12646, - "ĠHeights": 12647, - "Ġzero": 12648, - "ĠTransit": 12649, - "isting": 12650, - "Ġdocumented": 12651, - "If": 12652, - "ĠCompos": 12653, - "ĠCauc": 12654, - "Ġsharing": 12655, - "Ġinterchange": 12656, - "ĠVeter": 12657, - "ĠCun": 12658, - "Ġdoct": 12659, - "Ġhonours": 12660, - "angered": 12661, - "Ġcharacteristic": 12662, - "ĠSons": 12663, - "Ġrefugees": 12664, - "Ġprove": 12665, - "Ġdisapp": 12666, - "East": 12667, - "Ġroot": 12668, - "Ġ1846": 12669, - "ĠEdmonton": 12670, - "ĠMis": 12671, - "Ġages": 12672, - "ĠNASA": 12673, - "Ġpist": 12674, - "ipping": 12675, - "Ġassociations": 12676, - 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"1920": 12729, - "Ġsustained": 12730, - "Ġseeds": 12731, - "Ġsupplied": 12732, - "1937": 12733, - "Ġbold": 12734, - "Ġregulation": 12735, - "ĠKingston": 12736, - "ĠTheory": 12737, - "ĠRib": 12738, - "piracy": 12739, - "iott": 12740, - "ĠHull": 12741, - "ĠShadow": 12742, - "itzer": 12743, - "gart": 12744, - "ĠPlanning": 12745, - "Ġmonthly": 12746, - "Ġdifficulty": 12747, - "Ġexcellent": 12748, - "Ġkeyboard": 12749, - "ĠMuk": 12750, - "Ġfeelings": 12751, - "ĠBradley": 12752, - "lit": 12753, - "fast": 12754, - "ĠPorter": 12755, - "lies": 12756, - "erness": 12757, - "Ġsculptures": 12758, - "Ġbench": 12759, - "ĠMemphis": 12760, - "Ġibn": 12761, - "Ġcomments": 12762, - "ĠPlanet": 12763, - "Ġinstruction": 12764, - "Gu": 12765, - "ĠTyler": 12766, - "ĠVid": 12767, - "Ġverse": 12768, - "uxiliary": 12769, - "chief": 12770, - "ĠTeh": 12771, - "ĠMarri": 12772, - "Ġconnects": 12773, - "Ġencompass": 12774, - "ĠShep": 12775, - "avery": 12776, - "quiry": 12777, - "Ġcontrols": 12778, - "ĠStrat": 12779, - 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"Ġquad": 12831, - "utical": 12832, - "GS": 12833, - "Ġdiscontinued": 12834, - "ĠDirect": 12835, - "andra": 12836, - "ados": 12837, - "Ġlock": 12838, - "ĠMom": 12839, - "ĠPrincipal": 12840, - "Ġplastic": 12841, - "Ġpopulated": 12842, - "ĠOrlando": 12843, - "Ġdancer": 12844, - "ĠRichardson": 12845, - "ĠWarriors": 12846, - "600": 12847, - "Ġdistinction": 12848, - "Ġevil": 12849, - "Ġreforms": 12850, - "Sw": 12851, - "ĠAA": 12852, - "DI": 12853, - "ĠEstate": 12854, - "Ġcontracts": 12855, - "Ġhyd": 12856, - "ĠFranois": 12857, - "ĠPly": 12858, - "Ġcomedian": 12859, - "Ġforty": 12860, - "1941": 12861, - "Ġmissile": 12862, - "Ġfib": 12863, - "Ġabilities": 12864, - "rh": 12865, - "Ġmorph": 12866, - "ĠDoug": 12867, - "ĠEvangel": 12868, - "1935": 12869, - "ĠWor": 12870, - "uisine": 12871, - "ĠUz": 12872, - "Ġexperiments": 12873, - "eni": 12874, - "ĠNadu": 12875, - "ĠFerdinand": 12876, - "ĠInterior": 12877, - "Ġsupplement": 12878, - "Ġretiring": 12879, - "itro": 12880, - "Ġprogrammes": 12881, - "Ġvolunteers": 12882, - 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"250": 14638, - "cribed": 14639, - "ĠProducer": 14640, - "ĠSteam": 14641, - "ĠITV": 14642, - "ĠLut": 14643, - "both": 14644, - "Ġhonored": 14645, - "ĠVictory": 14646, - "ĠOst": 14647, - "Ġpreservation": 14648, - "Ġmaintains": 14649, - "Ġpink": 14650, - "ĠAgreement": 14651, - "Ġsubspecies": 14652, - "selling": 14653, - "ĠGeneration": 14654, - "Ġhung": 14655, - "Ġoct": 14656, - "Ġpupils": 14657, - "ĠCit": 14658, - "Ġhub": 14659, - "ĠOS": 14660, - "ĠRegulations": 14661, - "Ġstability": 14662, - "Ġruins": 14663, - "Ġweaken": 14664, - "grim": 14665, - "Ġconjunction": 14666, - "ĠSouthwest": 14667, - "Car": 14668, - "ĠSit": 14669, - "Ġinvented": 14670, - "Ġowns": 14671, - "ĠZen": 14672, - "ĠUse": 14673, - "Ġpond": 14674, - "Ġballot": 14675, - "ĠAdolf": 14676, - "ĠVat": 14677, - "Ġconsent": 14678, - "airy": 14679, - "ĠAlg": 14680, - "ĠMadh": 14681, - "imi": 14682, - "ĠMBA": 14683, - "ĠPortsmouth": 14684, - "ĠLeicester": 14685, - "ĠCool": 14686, - "inite": 14687, - "Ġpresidency": 14688, - "Ġtea": 14689, - 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"ĠNone": 14845, - "ĠSuperior": 14846, - "Ġfrog": 14847, - "rina": 14848, - "restrial": 14849, - "ĠSeminary": 14850, - "fluence": 14851, - "ĠSuffolk": 14852, - "uvian": 14853, - "ĠAutom": 14854, - "Ġdeeply": 14855, - "Ġwait": 14856, - "ĠCoalition": 14857, - "ĠBren": 14858, - "fields": 14859, - "neum": 14860, - "ĠRetrieved": 14861, - "ĠCi": 14862, - "Ġmuscle": 14863, - "ĠWaters": 14864, - "ĠChemistry": 14865, - "Ġfeminist": 14866, - "ĠRas": 14867, - "idan": 14868, - "ĠDoubles": 14869, - "asium": 14870, - "ĠBelle": 14871, - "ĠLit": 14872, - "Ġcabin": 14873, - "ĠCharleston": 14874, - "ĠWalsh": 14875, - "Ġinteractions": 14876, - "ĠRoth": 14877, - "ĠGreene": 14878, - "Ġrelegation": 14879, - "Ġpicks": 14880, - "Ġdoubt": 14881, - "ĠQatar": 14882, - "Ġtreas": 14883, - "ĠSF": 14884, - "walk": 14885, - "ocity": 14886, - "ĠMikh": 14887, - "ako": 14888, - "emi": 14889, - "Ġsmart": 14890, - "ĠPapua": 14891, - "ĠBetty": 14892, - "ĠMant": 14893, - "Ġmilitia": 14894, - "ĠEy": 14895, - "Ġtheorem": 14896, - 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"holder": 15104, - "plane": 15105, - "Ġproceeded": 15106, - "ĠIndo": 15107, - "Ġhurricane": 15108, - "gender": 15109, - "Ġparas": 15110, - "san": 15111, - "Ġcollecting": 15112, - "ĠMare": 15113, - "Ġcrim": 15114, - "Ġacclaim": 15115, - "ĠRafael": 15116, - "Ġconspiracy": 15117, - "ĠLankan": 15118, - "ĠLing": 15119, - "ĠVenezuelan": 15120, - "ĠSaxony": 15121, - "ĠCubs": 15122, - "anya": 15123, - "heart": 15124, - "ĠGuest": 15125, - "Ġhydrogen": 15126, - "There": 15127, - "SCO": 15128, - "Ġboxer": 15129, - "ĠHeroes": 15130, - "ĠGraph": 15131, - "Ġridge": 15132, - "cur": 15133, - "ĠFrancesco": 15134, - "Ġdisorders": 15135, - "rob": 15136, - "este": 15137, - "Ġfate": 15138, - "ĠImpro": 15139, - "Ġic": 15140, - "pei": 15141, - "Ġbacked": 15142, - "clesiast": 15143, - "isers": 15144, - "Ġscreenplay": 15145, - "Ġinterpreted": 15146, - "Ġpracticed": 15147, - "Ġcanton": 15148, - "ĠJoshua": 15149, - "Fran": 15150, - "Ġhomosexual": 15151, - "102": 15152, - "chem": 15153, - "anor": 15154, - "ellar": 15155, - 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"t on", - "as on", - "al e", - "Ġ und", - "ol og", - "Ġ 6", - "ĠUn ited", - "r am", - "Ġl oc", - "Ġe le", - "oot ball", - "ĠI nd", - "d u", - "Ġthe y", - "Ġw ork", - "ist s", - "an s", - "ol le", - "e b", - "Ġint o", - "c he", - "Ġt ra", - "ces s", - "Ġ Z", - "Ġp re", - "Ġg ro", - "or th", - "ĠUn iversity", - "er al", - "ou gh", - "Ġa ct", - "Ġat t", - "c k", - "tern al", - "e p", - "ic t", - "ak e", - "Ġse c", - "ĠA n", - "Ġt ime", - "Ġb u", - "a z", - "i k", - "Ġc an", - "il y", - "ran s", - "Ġund er", - "ĠC l", - "ro ugh", - "i el", - "i x", - "ic k", - "v i", - "Ġp ol", - "d uc", - "p r", - "ĠS c", - "ĠE ng", - "in ce", - "v e", - "ou n", - "if e", - "Ġte am", - "Ġlin ks", - "Ġplay ers", - "al s", - "oc i", - "r ad", - "Ġre g", - "Ġp ubl", - "ot h", - "Ġ19 4", - "Ġk n", - "id ent", - "ĠEx ternal", - "sh ip", - "for m", - "Ġh im", - "Ġb et", - "at t", - "Ġas s", - "ĠS he", - "in n", - "at ive", - "Ġ 7", - "i er", - "a j", - "1 8", - "ou se", - "in s", - "em b", - "Ġp r", - "it ies", - "us e", - "oll ow", - "in a", - "Ġ19 5", - "Ġw ould", - "Ġc o", - "an n", - "ĠT e", - "o ber", - "Ġe st", - "Ġwhe n", - "us ic", - "Ġag ain", - "l l", - "Ġc ent", - "Ġo p", - "Ġyear s", - "we en", - "er ies", - "c ed", - "Ġcon s", - "ro und", - "res ent", - "over n", - "at ing", - "Ġwhe re", - "Ġd uring", - "Ġre t", - "Ġm ore", - "Ġin d", - "ab l", - "Ġ1 7", - "Ġb o", - "iv ing", - "ra ph", - "ar ly", - "b um", - "d er", - "ĠJ oh", - "Ġs ub", - "a ir", - "Ġst ud", - "an y", - "Ġfor m", - "Ġs up", - "Ġ20 2", - "Ġg en", - "ĠTh is", - "Ġm e", - "ĠP l", - "Ġ qu", - "ĠC ount", - "ĠSt ates", - "Ġf ootball", - "Ġf ound", - "Ġ 8", - "ion al", - "oc k", - "ar l", - "Ġre le", - "Ġf l", - "c c", - "Ġs pec", - "en n", - "as h", - "Ġon ly", - "Ġbet ween", - "i am", - "ag ue", - "Ġf am", - "Ġb ir", - "Ġre l", - "re at", - "ĠF or", - "Ġse ason", - "p ro", - "Ġ Q", - "e at", - "ist ric", - "ĠA t", - "op ul", - "Ġs y", - "ĠN ational", - "ĠW ar", - "Ġ ed", - "ist ory", - "Ġar t", - "if ic", - "ĠS p", - "s on", - "ĠCom m", - "er man", - "ĠI s", - "Ġab out", - "ĠA ust", - "Ġth ree", - "ĠJoh n", - "\" .", - "Ġin ter", - "Ġm ost", - "ct or", - "f ore", - "ĠW orld", - "le y", - "ĠF ran", - "ĠP h", - "th s", - "ĠC on", - "Ġre m", - "Ġf ollow", - "Ġ 9", - "Ġm ade", - "Ġal bum", - "Ġl ater", - "Ġs ing", - "Ġth rough", - "iel d", - "in ist", - "un e", - "om en", - "Ġ end", - "Ġ1 0", - "iv er", - "iv ed", - "ĠB e", - "ers on", - "r on", - "Ġsec ond", - "Ġthe m", - "ro s", - "ĠB rit", - "ĠB l", - "og raph", - "Ġw rit", - "ĠM ay", - "an k", - "us s", - "Ġn um", - "Ġm ov", - "Ġthe re", - "Ġ19 3", - "Ġthe n", - "Ġd ire", - "m p", - "ĠC an", - "Ġde f", - "Ġus ed", - ". \"", - "ĠJ an", - "er m", - "ow er", - "es e", - "vel op", - "u res", - "he n", - "Ġrec ord", - "ar g", - "Ġin v", - "em ent", - "istric t", - "Ġt rans", - "os s", - "t en", - "Ġs o", - "er t", - "Ġm ed", - "e e", - "ar i", - "Ġ1 6", - "ar s", - "Ġs chool", - "Ġkn own", - "Ġs et", - "a i", - "ĠCount y", - "ĠA d", - "y s", - "\" ,", - "Ġ ent", - "Ġbec ame", - "2 00", - "Ġs uch", - "st it", - "Ġest abl", - "ĠO r", - "Ġ1 5", - "Ġa m", - "is m", - "ĠS outh", - "ĠG e", - "Ġpro v", - "c y", - "ur al", - "it s", - "Ġp h", - "Ġin c", - "ment s", - "Ġth an", - "ĠS chool", - "amp ion", - "tern ational", - "u ro", - "ĠG erman", - "ĠM e", - "a x", - "is e", - "Ġf our", - "p os", - "Ġ &", - "ĠN ov", - "Ġs eries", - "ĠJ u", - "Ġbe ing", - "Ġs ome", - "ur ch", - "Ġle ad", - "Ġ| -", - "Ġb l", - "Ġp opul", - "Ġ .", - "e ver", - "ĠW est", - "ut e", - "Ġc all", - "Ġs ong", - "ay s", - "Ġinclud ing", - "ot her", - "j ect", - "le t", - "et h", - "Ġgro up", - "Ġagain st", - "a e", - "Ġw ell", - "are er", - "Ġd o", - "i ke", - "Ġap pe", - "ĠP ol", - "ĠA fter", - "b orn", - "Ġde ath", - "ug ust", - "Ġac c", - "ar ri", - "Ġc ount", - "t y", - "Ġc re", - "ction s", - "ian s", - "ĠP r", - "u ary", - "ĠW h", - "am ed", - "pt ember", - "ĠAust ral", - "v en", - "st em", - "at her", - "t il", - "ĠY ork", - "ar n", - "ire d", - "ul l", - "b y", - "m y", - "er ed", - "r id", - "ver y", - "ut ion", - "e y", - "ĠA ugust", - "Ġbe fore", - "ĠBrit ish", - "Ġre ce", - "= \"", - "ĠO ct", - "el s", - "Ġ1 2", - "Ġad d", - "Ġwh ile", - "r ist", - "Ġs ur", - "ĠSe ptember", - "Ġs ign", - "Ġpol it", - "iv es", - "ĠMar ch", - "overn ment", - "00 0", - "Ġb ro", - "Ġde c", - "Ġsh ow", - "ĠC ent", - "a id", - "Ġoff ic", - "Ġbu ild", - "Ġde velop", - "Ġo per", - "ĠOct ober", - "olog y", - "Ġg o", - "el f", - "Ġfam ily", - "Ġun til", - "Ġc ap", - "le v", - "ĠM an", - "x t", - "Ġm usic", - "Ġm ay", - "pr il", - "iz ed", - "ow ever", - "ĠJ une", - "a u", - "r and", - "Ġo wn", - "f ess", - "Ġn o", - "Ġre p", - "ĠJan uary", - "ic a", - "Ġor ig", - "er y", - "Ġm ain", - "m ber", - "Ġm od", - "Ġh igh", - "ĠAs s", - "ĠJu ly", - "en g", - "ĠAl l", - "Ġbir ths", - "emb ers", - "ĠC ar", - "1 0", - "l ish", - "ist or", - "Ġch ar", - "Ġb oth", - "ĠN orth", - "Ġplay ed", - "olle ge", - "Ġm on", - "Ġman y", - "Ġnum ber", - "ot t", - "et s", - "ĠC o", - "ĠLe ague", - "Ġex p", - "om an", - "Ġn ame", - "ut h", - "ampion ship", - "ĠA pril", - "cent ury", - "ward s", - "Ġb ack", - "Ġ19 2", - "ant s", - "v ed", - "i ent", - "ĠCan ad", - "ĠE uro", - "it t", - "ĠSe e", - "Ġrele ased", - "ce mber", - "Ġe m", - "st ru", - "ĠG u", - "ain ed", - "ĠB o", - "en e", - "i or", - "p le", - "Ġg u", - "g ram", - "1 7", - "ĠE d", - "is c", - "Ġfor mer", - "ĠC ol", - "ĠNov ember", - "it al", - "Ġse ver", - "iss ion", - "ĠA m", - "ĠEng lish", - "Ġan n", - "Ġw on", - "i um", - "in es", - "e c", - "he s", - "port s", - "Ġdes ign", - "p or", - "ic ip", - "ce pt", - "ĠRe g", - "ĠW ill", - "ĠDe cember", - "Ġm at", - "ĠC ity", - "Ġ1 4", - "ra ct", - "ĠF l", - "aj or", - "Ġdes c", - "y l", - "ros s", - "Ġ1 3", - "Ġl ife", - "Ġare a", - "im es", - "ir d", - "Ġst art", - "ĠC al", - "ĠA f", - "Ġor gan", - "r is", - "duc ed", - "Ġop en", - "Ġf eat", - "are d", - "ĠSt ate", - "re t", - "f l", - "Ġg ame", - "ag es", - "Ġd if", - "v ent", - "res ident", - "Ġr un", - "k et", - "u es", - "Ġfilm s", - "l ed", - "ro p", - "Ġpro du", - "p art", - "Ġ1 1", - "ar m", - "et y", - "Ġm en", - "Ġ201 0", - "Ġcl ass", - "ograph y", - "Ġ2 1", - "y le", - "Ġex t", - "ap an", - "il t", - "eb ru", - "Ġs m", - "lev ision", - "ebru ary", - "Ġpubl ic", - "un g", - "ĠK ing", - "ĠI I", - "Ġst ate", - "Ġsy stem", - "ĠP ar", - "Ġl ong", - "Ġo b", - "ual ly", - "Ġd r", - "ar ch", - "ĠB ro", - "f ul", - "Ġf inal", - "Ġc areer", - "il it", - "n er", - "ĠH is", - "Ġs ame", - "ul ar", - "an c", - "a use", - "Ġcall ed", - "am b", - "vi ew", - "Ġfollow ing", - "ĠF ebruary", - "in c", - "z e", - "ov e", - "y n", - "Ġret urn", - "Ġf in", - "on y", - "Ġc ity", - "Ġw ill", - "iv ision", - "ĠEuro pe", - "ĠS w", - "a f", - "h ip", - "Ġch ild", - "r at", - "al es", - "ak ing", - "Ġsever al", - "Ġcomm un", - "ren ch", - "il ity", - "Ġw omen", - "re nt", - "oin t", - "ĠM ed", - "or ks", - "ĠJ apan", - "s p", - "an ge", - "ch n", - "ial ly", - "c om", - "c on", - "ure d", - "Ġl ist", - "Ġs uc", - "ĠGe or", - "p ed", - "Ġe arly", - "Ġa ir", - "ĠB ar", - "Ġcont in", - "Ġ '", - "Ġto wn", - "Ġcomp et", - "Ġcl ub", - "ĠE l", - "Ġm in", - "Ġres ult", - "h am", - "ib le", - "1 2", - "ĠA nd", - "ĠH ar", - "ĠH istory", - "is ed", - "al ly", - "Ġs ince", - "ic es", - "ain s", - "st er", - "19 9", - "ĠThe y", - "ĠP art", - "b o", - "r ing", - "Ġn ear", - "ang u", - "Ġn amed", - "Ġorig inal", - "end ed", - "u ed", - "ĠCh rist", - "at a", - "Ġhe ad", - "ĠA b", - "1 6", - "Ġb el", - "Ġdis c", - "Ġpl ace", - "ĠF rench", - "id ed", - "i ence", - "Ġ201 1", - "ĠRe p", - "Ġc ur", - "Ġbe gan", - "il le", - "Ġt it", - "Ġus e", - "iv al", - "an e", - "re en", - "Ġpro gram", - "ĠU S", - "Ġv ill", - "Ġm ember", - "Ġm embers", - "1 5", - "Ġp rom", - "Ġhe ld", - "Ġan y", - "Ġl and", - "ĠCom p", - "Ġb ased", - "ain t", - "ĠR es", - "ĠM c", - "Ġthe se", - "Ġcomp le", - "b le", - "Ġap p", - "m e", - "Ġsup port", - "oun c", - "ĠAf ric", - "al ity", - "Ġg overnment", - "r ight", - "Ġ200 8", - "ĠR uss", - "Ġm et", - "Ġ201 2", - "Ġw e", - "ĠR o", - "a ugh", - "Ġ19 0", - "ĠA ir", - "Ġestabl ished", - "i ous", - "Ġal ong", - "Ġe ff", - "t he", - "Ġ ,", - "ĠE ast", - "ĠCh ampionship", - "Ġdesc rib", - "T he", - "in ess", - "Ġen g", - "ition s", - "ĠC ollege", - "Ġp ass", - "ĠWill iam", - "ĠG en", - "an a", - "od e", - ". .", - "Ġd ist", - "pe ct", - "al th", - "ad em", - "Ġ200 9", - "Ġloc ated", - "ur g", - "u k", - "ĠThe re", - "at or", - "ical ly", - "ĠH er", - "or m", - "ac ed", - "Ġd id", - "Ġl aw", - "in o", - "Ġc ol", - "Ġo cc", - "Ġchar act", - "che s", - "f ord", - "ĠAr t", - "c ol", - "at s", - "i en", - "ubl ic", - "ĠP eople", - "Ġp os", - "Ġy ou", - "Ġ201 3", - "ond on", - "ĠN e", - "oci ation", - "ĠIt al", - "Ġ200 6", - "Ġ200 7", - "Ġh ouse", - "Ġe ach", - "t o", - "ĠH igh", - "ing ton", - "ore d", - "Ġ201 4", - "ro w", - "Ġ201 6", - "Ġserv ed", - "our t", - "ĠF ilm", - "Ġto ok", - "qu e", - "Ġs im", - "k y", - "Ġ X", - "1 4", - "ĠRe c", - "Ġb and", - "Ġt r", - "Ġst ation", - "Ġh ome", - "ĠD istrict", - "Ġb us", - "av ing", - "ĠS y", - "ĠIn ternational", - "Ġb orn", - "Ġg ames", - "Ġn ational", - "m ed", - "ly mp", - "i et", - "ĠA c", - "Ġin st", - "Ġ201 5", - "re w", - "er g", - "Ġpro fess", - "in ed", - "Ġ201 8", - "ight s", - "p s", - "Ġcomp any", - "Ġl ine", - "Ġp erson", - "1 3", - "ĠO lymp", - "Ġpopul ation", - "Ġm ajor", - "Ġ18 9", - "ac es", - "our n", - "Ġ20 20", - "ĠD av", - "ill ion", - "ĠL iving", - "ĠL ondon", - "Ġ201 7", - "ĠSe c", - "Ġs l", - "Ġb as", - "Ġj oin", - "Ġsm all", - "Ġle g", - "Ġloc al", - "ĠInd ian", - "ĠL a", - "ard s", - "Ġv ari", - "Ġrece ived", - "Ġde b", - "Ġev ent", - "Ġ2 5", - "Ġgen eral", - "Ġman ag", - "Ġpubl ished", - "Ġte levision", - "ĠC up", - "et t", - "Ġcent ury", - "ĠN ot", - "ilit ary", - "s ide", - "et er", - "Ġ3 0", - "at ure", - "Ġ201 9", - "Ġsing le", - "Ġbu ilt", - "ĠS up", - "Ġv i", - "ĠPh il", - "a ul", - "Ġd ue", - "Ġc ould", - "Ġv ers", - "ĠH owever", - "Ġ $", - "Ġap pro", - "ar ge", - "Ġw orld", - "Ġspec ies", - "ar a", - "Ġc olle", - "um n", - "Ġsuc cess", - "ie f", - "ounc il", - "Ġp o", - "v ers", - "Ġst r", - "in t", - "Ġa round", - "ord ing", - "if ied", - "ĠA ng", - "uth or", - "id es", - "at ely", - "om in", - "ĠG l", - "Ġo ld", - "Ġed uc", - "ĠT r", - "arri ed", - "ĠL ist", - "ĠN o", - "Ġt erm", - "is on", - "ro l", - "ĠC or", - "um mer", - "Ġa ge", - "ff ic", - "l ing", - "ĠT ra", - "ĠH ouse", - "Ġhe l", - "Ġal ign", - "Ġe p", - "ord s", - "e f", - "oc ial", - "ĠP ark", - "r ation", - "Ġp resent", - "ĠP re", - "Ġle ft", - "Ġl ast", - "Ġs ix", - "ĠE n", - "Ġh istory", - "Ġn ow", - "i od", - "a im", - "Ġs aid", - "ĠS an", - "Ġt y", - "Ġ200 0", - "Ġrep resent", - "re et", - "a us", - "id d", - "ra ft", - "t t", - "Ġd ied", - "Ġplay er", - "op h", - "Ġ 0", - "Ġre st", - "1 1", - "Ġc amp", - "iz ation", - "ĠD uring", - "Ġc ar", - "Ġl a", - "um b", - "angu age", - "Ġto p", - "ne y", - "Ġp ar", - "ĠB r", - "on es", - "Ġvill age", - "Ġwith in", - "ĠM ich", - "Ġd et", - "iv en", - "Ġst yle", - "Ġf ive", - "Ġ200 5", - "Ġt ri", - "Ġn orth", - "Ġsh ort", - "Ġ2 4", - "v an", - "ĠR oy", - "Ġor der", - "ide o", - "Ġ18 8", - "Ġd ay", - "in k", - "ĠD es", - "o ks", - "et her", - "u f", - "Ġdescrib ed", - "ak es", - "s c", - "ow s", - "ur ther", - "19 8", - "ent ly", - "Ġth ird", - "Ġbuild ing", - "al k", - "Ġinclud e", - "ĠR iver", - "Ġinclud ed", - "Ġp ost", - "um ent", - "Ġd own", - "ast er", - "if orn", - "ĠP er", - "Ġdif fer", - "d ay", - "he m", - "ĠA g", - "Ġchild ren", - "Ġre port", - "ur s", - "ĠEng land", - "c o", - "ĠCh ar", - "Ġ202 1", - "att le", - "Ġre f", - "vi ous", - "Ġre qu", - "ĠS ch", - "ĠA ct", - "n a", - "er a", - "feren ce", - "Ġbec ause", - "ke y", - "t ain", - "iforn ia", - "Ġad m", - "ĠB y", - "th ough", - "Ġann oun", - "Ġl arge", - "Ġcons id", - "iv ely", - "re g", - "ĠG ro", - "ĠM al", - "Ġs outh", - "g round", - "Ġs on", - "ĠAustral ia", - "Ġ200 4", - "ic o", - "Ġd em", - "rid ge", - "ri end", - "Ġd istrict", - "ĠCal ifornia", - "l er", - "col or", - "Ġst and", - "ĠP ort", - "ĠB ra", - "Ġm ark", - "ĠM on", - "os p", - ". ,", - "use um", - "ct ure", - "Ġar ch", - "Ġp ower", - "inn ing", - "Ġst at", - "Ġbo ok", - "uc k", - "od y", - "ĠY ou", - "ĠPart y", - "en cy", - "Ġl o", - "Ġdeath s", - "ri pt", - "Ġ202 2", - "Ġc rit", - "ad io", - "it er", - "part ment", - "land s", - "in ing", - "Ġw ar", - "con om", - "um an", - "Ġappe ar", - "Ġc or", - "ĠD em", - "Ġm ale", - "Ġl arg", - "k a", - "Ġis s", - "ĠR oman", - "re st", - "Ġ18 6", - "Ġj ust", - "ist er", - "Ġ2 2", - "Ġre pl", - "ĠB el", - "c er", - "al d", - "al f", - "Ġw ater", - "Ġserv ice", - "g ed", - "Ġper iod", - "Ġn on", - "Ġper form", - "Ġadd ition", - "n ess", - "Ġres p", - "v es", - "Ġk ill", - "am ent", - "oci ety", - "ĠA nt", - "Ġde p", - "ee k", - "Ġv is", - "he l", - "our s", - "e le", - "Ġre fer", - "ĠS m", - "a ff", - "er ing", - "ĠO ne", - "Ġmov ed", - "ĠA ward", - "en se", - "Ġc r", - "ĠE m", - "Ġdiffer ent", - "iz e", - "Ġcur rent", - "ĠAustral ian", - "Ġro und", - "Ġl ike", - "ot e", - "rib ut", - "5 0", - "ĠAr my", - "Ġ2 3", - "Ġinc re", - "om b", - "Ġm illion", - "Ġl ed", - "k i", - "l ine", - "ĠN or", - "p ar", - "Ġt rad", - "Ġbus iness", - "am a", - "ĠA cc", - "t al", - "av y", - "her n", - "ĠM inist", - "Ġan other", - "Ġth ose", - "o on", - "Ġh istor", - "ĠR ober", - "op s", - "o f", - "Ġsh ip", - "Ġ18 7", - "Ġe qu", - "Ġst ill", - "and er", - "Ġ if", - "Ġf ather", - "Ġ el", - "Ġf ield", - "Ġw est", - "ĠJ ames", - "Ġd el", - "ĠInd ia", - "Ġex per", - "Ġa uthor", - "i ber", - "ĠM or", - "ĠSt e", - "d e", - "ep end", - "Ġf ac", - "c hed", - "iv il", - "Ġact iv", - "Ġh and", - "Ġcomp os", - "ĠCh urch", - "ĠM usic", - "Ġbe st", - "ĠGen eral", - "ĠFran ce", - "Ġp ort", - "Ġk m", - "o x", - "Ġannoun ced", - "Ġin ternational", - "Ġdeb ut", - "stru ction", - "Ġtit le", - "Ġcount ry", - "d om", - "ĠQ u", - "Ġs old", - "Ġf em", - "ĠTh om", - "Ġw in", - "as es", - "Ġ200 3", - "v ille", - "Ġ( )", - "Ġestabl ish", - "ĠY ear", - "19 7", - "u el", - "Ġcharact er", - "Ġe ast", - "Ġpolit ic", - "ĠGeor ge", - "ĠD ivision", - "f ield", - "un icip", - "us h", - "Ġs ide", - "c ast", - "Ġp at", - "Ġd ra", - "b e", - "ĠRoy al", - "Ġc ult", - "ourn al", - "ĠA p", - "an ish", - "re ad", - "Ġn ov", - "Ġa v", - "g color", - "Ġpre vious", - "ĠM ount", - "g in", - "Ġm ake", - "ĠEurope an", - "Ġ very", - "ri es", - "a el", - "ĠQ ue", - "ĠP e", - "ort hern", - "Ġa ward", - "ĠCl ub", - "ĠCanad ian", - "Ġset t", - "ug g", - "ĠAc adem", - "Ġele ction", - "Ġpro ject", - "ip p", - "l in", - "le x", - "ĠP al", - "Ġam ong", - "m s", - "ap p", - "ab or", - "Ġw orks", - "ĠV al", - "ĠG r", - "Ġ2 6", - "ĠCanad a", - "Ġ200 2", - "ĠE le", - "i us", - "ĠR ich", - "Ġf r", - "al ign", - "Ġro le", - "g es", - "Ġpro duced", - "ĠW hen", - "w ork", - "ĠP aul", - "Ġf e", - "Ġm ag", - "pl oy", - "for man", - "Ġle vel", - "ĠB u", - "o ff", - "Ġof ten", - "ol ution", - "Ġa ff", - "Ġl ate", - "Ġs pe", - "Ġre ad", - "Ġw eb", - "a pe", - "ĠDav id", - "ĠC ouncil", - "Ġth ough", - "Ġinv ol", - "Ġre se", - "Ġb gcolor", - "ĠF ootball", - "Ġp e", - "Ġ199 0", - "it ar", - "st on", - "at ch", - "Ġwrit ten", - "Ġex pl", - "Ġ2 8", - "Ġ2 7", - "or ies", - "im ent", - "ĠL ou", - "Ġeng ine", - "Ġf ore", - "ĠH ol", - "Ġep is", - "ĠAss ociation", - "Ġ es", - "stit ute", - "Ġad v", - "b ack", - "Ġte chn", - "ac ks", - "Ġ200 1", - "ĠW ith", - "b an", - "ĠR ed", - "Ġstart ed", - "Ġev en", - "ĠD r", - "umn i", - "Ġyou ng", - "Ġp oss", - "Ġall ow", - "o le", - "em pt", - "Ġcl os", - "iv id", - "o e", - "ro te", - "Ġm arried", - "it or", - "Ġg rad", - "ĠR ail", - "v al", - "Ġc ame", - "Ġoffic ial", - "Ġin it", - "Ġc over", - "Ġim port", - "ĠP resident", - "Ġcre ated", - "ĠAmer ica", - "ou ther", - "Ġw ent", - "form ation", - "Ġg iven", - "Ġs ite", - "Ġto tal", - "ol ic", - "g y", - "ir c", - "ĠSt reet", - "al t", - "Ġst ru", - "Ġe very", - "ĠF irst", - "Ġt urn", - "outher n", - "Ġcommun ity", - "y a", - "ĠF rom", - "ĠS ing", - "er ation", - "w est", - "oin ted", - "ĠSt ud", - "3 0", - "Ġjoin ed", - "ra p", - "om et", - "Ġv al", - "Ġeff ect", - "ĠH istor", - "it te", - "ĠK h", - "Ġra il", - "ot s", - "Ġpolit ical", - "Ġch ang", - "Ġwork ed", - "Ġwh at", - "Ġp res", - "Ġcon c", - "i j", - "Ġvari ous", - "ir on", - "Ġf re", - "Ġdevelop ment", - "ag o", - "ber t", - "ĠS en", - "ree k", - "ĠT own", - "Ġcon f", - "pos ed", - "s ite", - "ĠT rans", - "b or", - "ir l", - "Ġpro cess", - "m a", - "Ġ1 00", - "Ġt w", - "Ġv ideo", - "e al", - "Ġprofess ional", - "Ġele ct", - "her s", - "Ġf act", - "Ġm ilitary", - "ĠS l", - "ac hed", - "' t", - "ĠUn ion", - "Ġvers ion", - "at ic", - "olog ical", - "at ri", - "ĠGerman y", - "op e", - "re am", - "ĠGro up", - "Ġm uch", - "s elf", - "Ġpro te", - "Ġprodu ction", - "Ġh aving", - "Ġne xt", - "Ġcomm on", - "Ġb re", - "Ġcl aim", - "Ġbec ome", - "Ġspec ial", - "Ġg r", - "h old", - "ĠM art", - "Ġs ent", - "ĠH en", - "Ġm iss", - "Ġh ost", - "ĠB er", - "og n", - "Ġs w", - "ĠJ e", - "h ib", - "ĠV ir", - "ĠM ary", - "ĠM ag", - "Ġ198 0", - "ĠS er", - "ĠRo ad", - "o or", - "Ġus ing", - "ĠW e", - "Ġp ri", - "ĠBl ack", - "ĠAr ch", - "Ġ [", - "Ġdire ct", - "Ġreturn ed", - "ĠMe x", - "19 6", - "Ġw rote", - "Ġint ro", - "ĠP ri", - "Ġs it", - "Ġp resident", - "Ġpr im", - "m en", - "Ġt em", - "ĠItal ian", - "ĠM y", - "ĠJapan ese", - "Ġ199 9", - "est s", - "Ġ2 9", - "Ġg l", - "ĠAfric an", - "in ation", - "ĠT ur", - "Ġpos ition", - "Ġmat ch", - "h a", - "Ġan t", - "ict ion", - "ĠL aw", - "Ġdire ctor", - "i ography", - "m ing", - "ĠH all", - "oin ts", - "Ġteam s", - "Ġt ake", - "ĠW omen", - "Ġm ult", - "Ġch urch", - "Ġsong s", - "fl u", - "ĠThe se", - "Ġopen ed", - "Ġper forman", - "B C", - "ct s", - "il ar", - "ĠComm un", - "ĠW ash", - "ĠPro v", - "ivid ual", - "Ġf ew", - "Ġev ents", - "id a", - "Ġf un", - "ell ow", - "ĠG ames", - "Ġbe h", - "se qu", - "ĠS am", - "ĠRober t", - "arl iam", - "Ġv ol", - "ak en", - "ib r", - "itt le", - "ĠRuss ian", - "ĠLe g", - "an i", - "ent ion", - "e ad", - "ĠCh ina", - "oc rat", - "u le", - "ĠB est", - "l o", - "arliam ent", - "ar ian", - "g er", - "C A", - "ĠSc ott", - "2 1", - "Ġt imes", - "t ra", - "Ġst ory", - "Ġs ol", - "ĠO ther", - "ec ut", - "Ġpart icip", - "Ġw ay", - "Ġv oc", - "Ġfootball ers", - "y ing", - "ri an", - "Ġalbum s", - "ĠAcc ording", - "augh ter", - "Ġbe g", - "Ġh ig", - "ĠM ad", - "est ed", - "ĠC ap", - "ĠPl ay", - "un t", - "Ġf riend", - "Ġ199 8", - "ĠWash ington", - "it z", - "ĠC ourt", - "n ing", - "ic le", - "Ġatt ack", - "ket ball", - "ĠM iss", - "Ġro ad", - "stit ut", - "our ces", - "itte e", - "il es", - "an ies", - "Ġim p", - "Ġadm inist", - "ĠC ast", - "Ġpopul ar", - "Ġbro ther", - "Ġne ed", - "Ġwith out", - "ĠComp any", - "is l", - "ĠC ont", - "ĠThom as", - "at ter", - "Ġserv ices", - "ra g", - "an ces", - "a ur", - "Ġreg ion", - "end ing", - "Ġp ract", - "ĠS erv", - "Ġstud ents", - "idd le", - "Ġs k", - "Ġs ocial", - "od es", - "ĠC ath", - "Ġt er", - "ĠM en", - "ers hip", - "ĠS al", - "e x", - "wo od", - "ĠK n", - "a ign", - "Ġh alf", - "Ġbro ad", - "y ear", - "2 2", - "Ġg reat", - "Ġf ull", - "r ated", - "Ġcontin ued", - "Ġ197 0", - "Ġl ost", - "ĠA wards", - "ĠKing dom", - "ain ing", - "ĠCent ral", - "ĠS ociety", - "ac y", - "c raft", - "Ġco ach", - "y m", - "Ġm id", - "ĠM ont", - "ĠG rand", - "Ġal umni", - "ĠO p", - "us ed", - "Ġeduc ation", - "ra b", - "Ġrese arch", - "are nt", - "Ġ199 6", - "Ġatt empt", - "Ġs qu", - "Ġd ays", - "is ing", - "Ġh owever", - "ĠI r", - "b urg", - "Ġse e", - "ĠCh in", - "ens us", - "ĠRec ords", - "Ġprom ot", - "ap er", - "ĠM useum", - "4 0", - "Ġcomple ted", - "on a", - "Ġpro duc", - "Ġele cted", - "Ġapp ointed", - "ĠA lex", - "at ors", - "ĠChar les", - "ill s", - "ĠFl or", - "Ġcom b", - "ĠIs land", - "Ġinv est", - "Ġind ust", - "Ġin f", - "Ġ ident", - "est ival", - "in i", - "ĠD on", - "cent er", - "Ġpart y", - "ĠM et", - "Ġfound ed", - "Ġcont rol", - "Ġdire cted", - "ĠE duc", - "ĠCent er", - "Ġrecord ed", - "ĠTe x", - "Ġl im", - "Ġa ver", - "ific ation", - "u it", - "Ġr ight", - "ĠI m", - "r d", - "Ġ199 7", - "Ġsign ed", - "ĠE arly", - "Ġw ife", - "Ġe conom", - "ĠS ummer", - "amp le", - "l ess", - "Ġp oints", - "ber g", - "Ġpro per", - "Ġle ague", - "w h", - "as ons", - "Ġgroup s", - "Ġare as", - "2 3", - "Ġre view", - "Ġ18 5", - "Ġ /", - "ĠDe partment", - "Ġb ase", - "n el", - "Ġconsid ered", - "ish ing", - "ĠS im", - "Ġcon ne", - "Ġra ce", - "r ay", - "ĠAng el", - "ĠWest ern", - "Ġ202 3", - "ĠO ffic", - "Ġp oint", - "ĠJ ew", - "pl ay", - "Ġh on", - "ĠC he", - "Ġpart ic", - "Ġse le", - "at ural", - "ĠFran c", - "Ġre n", - "Ġf ind", - "Ġf urther", - "ĠV ict", - "j e", - "Ġm ar", - "= #", - "ĠT o", - "Ġc oll", - "ĠT V", - "Ġrel ations", - "ĠIn stitute", - "Ġc aus", - "ar ies", - "Ġv ict", - "ĠG old", - "ĠAcadem y", - "ĠLou is", - "ell s", - "Ġsim ilar", - "ĠOlymp ics", - "il i", - "Ġde g", - "ĠB ay", - "th let", - "Ġh old", - "ĠMich ael", - "Ġind ividual", - "way s", - "Ġto g", - "Ġre al", - "Ġpr iv", - "ĠG reat", - "Ġvi ew", - "ĠM ac", - "Ġweb site", - "Ġ z", - "id ence", - "ĠZ eal", - "Ġt en", - "ĠP ress", - "Ġtog ether", - "Ġ199 5", - "u ation", - "um p", - "Ġrele ase", - "ra in", - "ĠP at", - "ĠC ong", - "ĠZeal and", - "Ġ199 2", - "ric k", - "Ġin flu", - "ot a", - "ĠVir gin", - "ĠV ol", - "Ġreport ed", - "ĠChrist ian", - "Ġc ase", - "Ġappe ared", - "ĠM us", - "ĠRep ublic", - "ĠM er", - "ĠU K", - "et work", - "Ġ199 4", - "| |", - "ar ter", - "ar th", - "Ġs ports", - "Ġoff ice", - "ĠSp anish", - "ĠChin ese", - "Ġm other", - "ou l", - "ed eral", - "ĠAfric a", - "Ġtra ck", - "ĠK ore", - "m ar", - "Ġw eek", - "2 5", - "Ġ3 1", - "c ks", - "ĠT om", - "Ġ5 0", - "Ġm y", - "Ġk e", - "i que", - "Ġme et", - "Ġnov el", - "Ġcon d", - "Ġbir th", - "Ġdevelop ed", - "en c", - "Ġform ed", - "Ġin s", - "Ġh ous", - "it ive", - "y d", - "ak er", - "Ġ196 0", - "it ing", - "Ġmed al", - "ĠB ur", - "Ġhel p", - "Ġa ut", - "ĠCar ol", - "Ġgu itar", - "ad es", - "Ġla un", - "Ġass ist", - "ĠB en", - "Ġph ot", - "ĠIn ter", - "ĠT er", - "ul a", - "k n", - "ĠD an", - "ap t", - "Ġwork ing", - "e h", - "du ction", - "Ġd oc", - "Ġar r", - "Ġm aking", - "Ġimport ant", - "Ġto urn", - "c le", - "ĠG reen", - "i ers", - "Ġarch ite", - "ĠH am", - "ĠTex as", - "ail ed", - "ud e", - "re land", - "Ġart ist", - "Ġc ast", - "ĠWh ite", - "ĠP et", - "Ġgro w", - "ed y", - "Ġm unicip", - "Ġap pl", - "Ġg ood", - "im ately", - "it ted", - "ĠWh ile", - "ĠD el", - "Ġv ot", - "b and", - "ĠP ublic", - "Ġof fer", - "t a", - "id ing", - "ĠK e", - "ĠB as", - "c ial", - "ĠS ports", - "g o", - "Ġl ess", - "Ġtrad ition", - "Ġschool s", - "m on", - "ert ain", - "ic les", - "ĠMinist er", - "r as", - "ĠJ ose", - "Ġl ive", - "id ae", - "al a", - "ĠC ons", - "Ġd ata", - "ro ll", - "one y", - "it her", - "Ġph ys", - "Ġf und", - "Ġ199 3", - "ĠDem ocrat", - "Ġty p", - "Ġother s", - "ens ive", - "Ġh uman", - "Ġsh ould", - "Ġd aughter", - "ol a", - "ĠT or", - "ab ly", - "epend ent", - "at ives", - "Ġem ploy", - "Ġro ck", - "Ġd i", - "Ġgro und", - "ĠP eter", - "osp ital", - "Ġre v", - "ĠFran k", - "Ġrec ogn", - "Ġm ater", - "Ġhim self", - "Ġst ar", - "overn or", - "all s", - "v iron", - "Ġbuild ings", - "Ġde cl", - "Ġ =", - "re y", - "ĠCath olic", - "ĠM el", - "ĠS ong", - "ut y", - "ĠRich ard", - "le g", - "Ġr ul", - ") :", - "Ġac ross", - "az ine", - "Ġav ail", - "Ġf ire", - "Ġcomp anies", - "ĠS ur", - "g en", - "h i", - "ic ation", - "ĠSw ed", - "19 5", - "al y", - "ĠB ill", - "Ġb ody", - "p ite", - "s y", - "en a", - "ate g", - "ol f", - "Ġan im", - "ant ed", - "Ġcamp aign", - "Ġst ations", - "and ing", - "at re", - "Ġl anguage", - "sh ire", - "m ost", - "ri a", - "Ġe ight", - "19 4", - "um e", - "Ġdo es", - "ĠW il", - "b our", - "Ġaver age", - "ĠM ass", - "ĠL u", - "ĠU p", - "ĠF ore", - "Ġm ot", - "Ġ199 1", - "ce ed", - "Ġbl ack", - "Ġqu al", - "Ġex ist", - "Ġbec om", - "ĠPar is", - "ĠSec ond", - "Ġplay ing", - "ut es", - "ric ket", - "o ice", - "ra el", - "ĠL at", - "Ġt ro", - "g ress", - "Ġmod ern", - "Ġl ow", - "ĠHen ry", - "em or", - "Ġdef e", - "ĠSup er", - "ĠVict or", - "he ast", - "19 3", - "Ġh ow", - "ĠS ant", - "Ġepis ode", - "Ġ18 4", - "Ġp aint", - "st ro", - "Ġc le", - "Ġ et", - "ĠC ro", - "Ġgrad u", - "o res", - "S t", - "z il", - "Ġst age", - "Ġd ivision", - "Ġd ram", - "Ġex ample", - "Ġd er", - "ĠGeor g", - "Ġc ross", - "em ents", - "Ġ4 0", - "w rit", - "ud d", - "Ġr adio", - "ad a", - "Ġne ver", - "Ġl iving", - "air s", - "ĠD ire", - "Ġperform ed", - "h ood", - "Ġf oc", - "ĠL os", - "Ġfem ale", - "emb ly", - "ch ie", - "oc key", - "and id", - "Ġw inn", - "eth od", - "ĠH on", - "Ġl ight", - "ĠS ome", - "Ġse par", - "Ġart ists", - "Ġbel ie", - "ĠRe v", - "Ġf ree", - "ĠSm ith", - "Ġpolitic ian", - "Ġac qu", - "ĠP enn", - "Ġass oci", - "w are", - "ĠOr der", - "Ġf ight", - "t ime", - "ur a", - "ent ial", - "Ġcont ract", - "ov iet", - "2 4", - "ĠChampionship s", - "ĠL ake", - "ĠB ut", - "ibr ary", - "ough t", - "Ġstr ong", - "ign ed", - "Ġsuccess ful", - "Ġmon ths", - "ĠF C", - "Ġre d", - "Ġkill ed", - "at ory", - "im ate", - "Ġfin ished", - "ĠEduc ation", - "av al", - "Ġpl aces", - "id ents", - "Ġcon struction", - "ĠCh ic", - "he ad", - "pe ople", - "k ed", - "ĠI reland", - "ĠO l", - "Ġg ave", - "Ġestablish ments", - "Ġ198 8", - "ĠC amp", - "Ġm us", - "av es", - "ĠG o", - "Ġavail able", - "ĠDe f", - "Ġcon du", - "Ġa way", - "Ġgo al", - "Ġ198 9", - "v a", - "Ġperforman ce", - "if f", - "ell ing", - "ĠO b", - "ĠS aint", - "Ġt re", - "Ġal though", - "id s", - "ĠP an", - "as c", - "ish op", - "Ġpro t", - "Ġbo oks", - "ran ch", - "il ities", - "viron ment", - "it a", - "ĠS pec", - "Ġj ournal", - "an o", - "Ġin formation", - "Ġ ide", - "ĠD ay", - "ad o", - "inal s", - "z a", - "ic ated", - "ĠFilm s", - "he re", - "ĠOlymp ic", - "Ġd am", - "ĠC ur", - "Ġt aken", - "ĠV ill", - "ĠW in", - "ĠNot es", - "le ft", - "ell a", - "Ġcap t", - "it ch", - "i qu", - "ĠBra zil", - "ĠIs rael", - "ĠD u", - "ific ant", - "Ġshow s", - "Ġfollow ed", - ", \"", - "Ġr ank", - "o o", - "Ġag re", - "ĠR ob", - "ĠC areer", - "Ġto ur", - "ug by", - "Ġc ost", - "Ġm ix", - "ĠVirgin ia", - "Ġhe alth", - "Ġfr ont", - "Ġj ud", - "om a", - "ĠG overnment", - "Ġinclud es", - "Ġaward ed", - "Ġc irc", - "ut ch", - "Ġtourn ament", - "Ġc our", - "ĠM a", - "ĠL ife", - "ĠM in", - "\" |", - "Ġfeat ures", - "ig an", - "Ġ :", - "ĠJ ust", - "I I", - "Ġvi ol", - "Ġoriginal ly", - "Ġdesign ed", - "s erv", - "ĠT our", - "ĠAt l", - "Ġhouse hold", - "ĠH ill", - "ag ed", - "nd er", - "n y", - "i os", - "Ġac cess", - "Ġmater ial", - "ĠTe am", - "Ġse ven", - "se c", - "Ġs en", - "ve y", - "Ġc ourt", - "ĠE mp", - "e g", - "ĠC arl", - "ĠIt s", - "ĠM r", - "Ġim pro", - "Ġp ut", - "om s", - "Ġc ivil", - "Ġrel ig", - "2 6", - "Ġrem ained", - "ĠP erson", - "ĠHistor ic", - "Ġs ound", - "ĠAr ts", - "Ġs il", - "ist an", - "Ġstud y", - "Ġl ab", - "en ed", - "ĠG all", - "ĠR ock", - "Ġon ce", - "ĠG ra", - "2 7", - "Ġfeat ured", - "Ġin j", - "Ġd ou", - "ĠRail way", - "er ous", - "ar ia", - "ĠS qu", - "Ġfor ces", - "atri ate", - "Ġsc ored", - "ĠL and", - "ur ity", - "Ġc y", - "Ġ ill", - "om m", - "Ġt est", - "Ġ #", - "Ġp ress", - "ac hes", - "Ġ198 7", - "ol k", - "Ġb ar", - "ĠChic ago", - "2 8", - "he st", - "it es", - "Ġmark et", - "Ġbas ketball", - "ip le", - "Ġde v", - "Ġre b", - "Ġsing er", - "Ġsign ificant", - "ĠM o", - "ach ing", - "ap s", - "il ies", - "Ġpl an", - "end er", - "Ġex ecut", - "r or", - "ĠS oviet", - "ic ations", - "re l", - "Ġlead ing", - "Ġtra ining", - "em s", - "ĠSc ot", - "v in", - "Ġpol ice", - "Ġmed ia", - "ĠFor ce", - "Ġe arn", - "ver t", - "ĠS ub", - "y e", - "ic y", - "Ġ195 0", - "ĠM il", - "C h", - "Ġm ount", - "Ġlarg est", - "Ġr ights", - "ĠS ir", - "ear ch", - "ĠComm ission", - "augh t", - "ĠT wo", - "ĠItal y", - "m ier", - "A mer", - "ĠS o", - "ĠPro fess", - "Ġ198 6", - "our ce", - "Ġm ust", - "Ġair craft", - "Ġst ri", - "ĠM od", - "Ġmod el", - "ut er", - "ĠMex ico", - "Ġ198 4", - "Ġch art", - "Ġen c", - "y p", - "Ġs em", - "ĠCl ass", - "ĠI ll", - "Ġthrough out", - "ĠPol it", - "Ġl iter", - "ist ics", - "ĠP arliament", - "Ġg old", - "Ġtrans fer", - "Ġcons ist", - "v ing", - "ĠS ince", - "ĠMar k", - "Ġinvol ved", - "Ġc ou", - "ĠC at", - "Ġlist ed", - "Ġsub sequ", - "ord er", - "Ġst ated", - "ien ces", - "Ġwh ite", - "ĠO ff", - "ĠAn n", - "Ġw id", - "un k", - "Ġbo ard", - "s el", - "Ġintro duced", - "Ġrepl aced", - "ĠIr ish", - "Ġs ugg", - "ann el", - "Ġe arl", - "Ġse en", - "Ġcompet ition", - "Ġb i", - "Ġ18 3", - "un s", - "ĠE r", - "ĠProv ince", - "ĠFlor ida", - "Ġc andid", - "Ġd iv", - "if t", - "6 0", - "2 9", - "Ġtrans l", - "ĠN avy", - "ĠM ur", - "Ġ198 5", - "Ġwrit er", - "Ġevent ually", - "Ġpriv ate", - "Ġv ia", - "Ġresp ons", - "rib ution", - "ut ure", - "ĠTe chn", - "Ġcrit ic", - "Ġresult s", - "Ġent ire", - "u ff", - "Ġvoc als", - "c her", - "Ġab le", - "u z", - "um m", - "ĠD o", - "te xt", - "Ġr an", - "Ġadd ed", - "ret ary", - "ĠAl though", - "Ġc ollege", - "ĠD en", - "Ġpro ble", - "ĠO per", - "ĠComm ittee", - "ĠF estival", - "Ġfour th", - "ĠS il", - "o ch", - "Ġp ast", - "Ġcount ries", - "ĠF in", - "as k", - "ĠB us", - "ro ad", - "A S", - "el t", - "ĠW ales", - "c ript", - "Ġw ind", - "ĠAngel es", - "y r", - "ĠO ver", - "Ġcent ral", - "Ġst e", - "Ġact ress", - "m b", - "uf act", - "Ġsur v", - "as ing", - "ul arly", - "Ġa ud", - "Ġwrit ers", - "u a", - "ian o", - "Ġcomm and", - "Ġass ociation", - "Ġle ast", - "m in", - "Ġres pect", - "i res", - "ĠBro wn", - "ĠE v", - "Ġl oss", - "yl van", - "Amer ican", - "Ġsp ace", - "por ary", - "Ġs er", - "A R", - "ĠSc ience", - "ĠO ut", - "mer cial", - "8 0", - "ĠN orthern", - "Ġun its", - "ĠM ost", - "ab ility", - "f ic", - "ĠR h", - "Ġn omin", - "ĠF ound", - "ĠSt ar", - "ĠRuss ia", - "Ġm inist", - "Ġs ch", - "b b", - "ok e", - "ĠU k", - "ĠG od", - "r up", - "Ġdeg ree", - "i ro", - "ĠCong ress", - "ĠCarol ina", - "Ġst aff", - "Ġdisc over", - "Ġ198 3", - "Ġr ange", - "Ġst ates", - "ib l", - "ĠAr g", - "ri al", - "Ġcl ose", - "ĠR os", - "Ġdoc ument", - "ra w", - "ĠJ un", - "Ġbroad cast", - "n ow", - "Ġf ig", - "Ġab ove", - "pl es", - "Ġre ached", - "med i", - "g ian", - "l or", - "Ġc ensus", - "ĠServ ice", - "st e", - "ant ic", - "Ġpl ant", - "ĠCol umb", - "ĠL iber", - "ĠE s", - "ĠC r", - "Ġch ange", - "erv e", - "T V", - "Ġprov ided", - "ĠJose ph", - "ĠO h", - "Ġse asons", - "Ġt reat", - "Ġcurrent ly", - "oy s", - "Ġex hib", - "ĠO ld", - "i ents", - "b ur", - "rough t", - "Ġg et", - "Ġcont ribut", - "Ġexp ress", - "ylvan ia", - "l im", - "Ġp ur", - "Ġe ither", - "Ġf av", - "Ġ( \"", - "Ġch ampionship", - "r ative", - "ĠS a", - "f ace", - "Ġtra vel", - "or por", - "Ġac cept", - "Ġpl aced", - "u x", - "sy ch", - "Ġmiss ing", - "Ġup on", - "ĠF re", - "al ed", - "F A", - "Ġrail way", - ") ;", - "bo ard", - "ĠS eries", - "Ġs aw", - "ad ium", - "Ġinter est", - "st ant", - "ian a", - "Ġstru ct", - "ĠC am", - "F L", - "ĠP ac", - "ab it", - "ist ic", - "ip l", - "Ġ198 2", - "Ġcent er", - "Ġm ur", - "w ell", - "Ġk ey", - "Ġ !", - "Ġa ction", - "ĠAss embly", - "a ut", - "ĠF ort", - "ĠD ou", - "Ġocc ur", - "ed s", - "Ġty pe", - "ĠM os", - "cept ion", - "Ġp ot", - "ĠM ic", - "kn own", - "p ly", - "is es", - "Ġc op", - "ĠF urther", - "ĠF ollow", - "Ġn ight", - "Ġa chie", - "ig er", - "g l", - "ĠS k", - "Ġd u", - "ĠR am", - "Ġatt ended", - "Ġ197 9", - "stit ution", - "Ġle arn", - "ĠM ill", - "Ġcharact ers", - "ĠB re", - "l anguage", - "ĠB attle", - "ĠA rab", - "Ġse x", - "ubl ican", - "ay ing", - "ĠM at", - "az z", - "Ġcap ital", - "p ress", - "ĠP opul", - "et te", - "Ġme as", - "Ġdec ided", - "ĠM ain", - "ĠW ood", - "Ġf if", - "l am", - "i h", - "ĠM ajor", - "ĠT ro", - "ele b", - "Ġar g", - "Ġdec ision", - ". )", - "ult ural", - "Ġprevious ly", - "Ġdra w", - "ĠRes earch", - "eng th", - "ar ily", - "ĠEmp ire", - "ĠG reek", - "ĠF red", - "ult ure", - "c a", - "Ġst re", - "Ġde stro", - "Ġne igh", - "Ġ197 2", - "Ġlead er", - "Ġh om", - "d en", - "ĠDemocrat ic", - "g r", - "Ġappro x", - "am ily", - "Ġstud io", - "Ġse ction", - "er o", - "Ġus ually", - "Ġme an", - "ĠPenn s", - "Ġ197 6", - "or ing", - "Ġm ass", - "ĠS ol", - "Ġdefe ated", - "ĠOffic ial", - "ĠH a", - "Ġsing les", - "and a", - "Ġed ition", - "ĠMart in", - "u an", - "ĠD utch", - "Ġre ve", - "Ġocc up", - "ow ers", - "st ra", - "re me", - "ĠC le", - "ĠS un", - "p ing", - "ĠFollow ing", - "Ġkn ow", - "Ġg rand", - "Ġn atural", - "Ġinst ead", - "Ġeff ort", - "ĠMed al", - "ĠJ im", - "ĠScott ish", - "Ġp ain", - "Ġpo et", - "Ġact or", - "Ġr iver", - "ĠSp ain", - "ch an", - "Ġf arm", - "Ġp arent", - "Ġacc ount", - "il s", - "ig a", - "ĠS ocial", - "ĠPenns ylvania", - "Ġb ur", - "B A", - "or a", - "Ġsub ject", - "st r", - "c el", - "c ell", - "Ġ198 1", - "Ġw inning", - "Ġproduc er", - "ĠG ar", - "inc ip", - "ans as", - "ĠM embers", - "Ġinvest ig", - "Ġwh ose", - "ult y", - "ult s", - "Ġm ethod", - "ĠW al", - "um ents", - "Ġpl ann", - "Ġ197 8", - "ĠL ove", - "Ġpart s", - "ĠIn c", - "Ġact ive", - "Ġ197 4", - "Ġrepresent ed", - "in ent", - "ĠM ilitary", - "Ġmov ement", - "at o", - "Ġg e", - "ĠH ow", - "Ġprim ary", - "Ġprov ide", - "ĠAs ian", - "Ġfam ilies", - "Ġcult ure", - "Ġ196 8", - "ĠP ak", - "w an", - "Ġrelations hip", - "Ġplay s", - "9 0", - "ĠL ater", - "ĠF inal", - "b ased", - "Ġf ar", - "Ġp ark", - "ĠR adio", - "Ġsc ient", - "Ġorgan iz", - "pt ion", - "Ġpr ison", - "ĠJ ud", - "Ġde al", - "ĠLe e", - "Ġp red", - "Ġn orthern", - "Ġ194 0", - "Ġs outhern", - "Ġbeh ind", - "Ġp urch", - "ĠE p", - "pos ition", - "r ig", - "Ġt ax", - "ĠH ot", - "cl us", - "ĠT w", - "ar io", - "Ġ197 5", - "ug u", - "ĠC ross", - "l a", - "ĠI ran", - "ĠYou ng", - "ig ital", - "Ġmus ical", - "ĠBu ild", - "ad y", - "ens ion", - "Ġs ize", - "y er", - "ĠC ivil", - "ĠCh ief", - "Ġb ank", - "Ġl ik", - "7 0", - "omet imes", - "Ġ197 7", - "se e", - "ri e", - "Ġl ower", - "ĠB ul", - "ing u", - "ĠBo ard", - "w er", - "ĠB et", - ".. .", - "Ġgo als", - "isc o", - "ĠS ar", - "ĠSp ace", - "Ġb rought", - "ĠP ost", - "Ġread ing", - "Ġco ast", - "Ġnew sp", - "ĠB ig", - "ĠB ase", - "erg y", - "Ġout side", - "ĠL oc", - "Ġac adem", - "ĠH el", - "Ġs us", - "s k", - "ĠS outhern", - "ĠReg ister", - "\" )", - "n ot", - "Ġp ers", - "Ġcolle ction", - "Ġh ard", - "Ġorgan ization", - "im b", - "ar ing", - "Ġc ut", - "Ġ i", - "ĠC D", - "end s", - "ĠH aw", - "Ġr ather", - "all ed", - "ĠB ack", - "ers ey", - "Ġ197 3", - "Ġf all", - "m ark", - "Ġclos ed", - "a o", - "Ġindust ry", - "Ġrun s", - "Ġwrit ing", - "al i", - "Ġn etwork", - "Ġg irl", - "Ġend ed", - "N A", - "Ġc ricket", - "ĠJ ack", - "Ġman ufact", - "Ġc are", - "h an", - "Ġdram a", - "Ġk ing", - "ĠL uc", - "or se", - "Ġfor ce", - "Ġsh ot", - "ir m", - "Ġfootball er", - "Ġ193 0", - "ĠAd m", - "it an", - "Ġsystem s", - "anc ial", - "p an", - "at i", - "pec ially", - "he t", - "aw a", - "ĠO x", - "I D", - "ĠEd ward", - "ĠEng ine", - "ct ive", - "Ġh it", - "ĠL ong", - "Ġes c", - "ul ation", - "oun ter", - "Ġposs ible", - "Ġw ood", - "Ġim m", - "ĠVal ley", - "ĠR el", - "Ġreg ard", - "ĠU nder", - "ĠT ri", - "Ġ194 5", - "Ġmat ches", - "m ond", - "Ġallow ed", - "Ġstud ies", - "ĠV er", - "ĠU r", - "ĠS pr", - "ĠT imes", - "Ġne g", - "Ġal most", - "it ors", - "ĠRep ublican", - "Ġreg ular", - "Ġ196 9", - "ven ue", - "id er", - "Ġstru cture", - "Ġst op", - "in ary", - "Ġ197 1", - "Ġmag azine", - "ĠJew ish", - "em ic", - "ur b", - "Ġchang ed", - "Ġcomm ission", - "Ġfre qu", - "c ient", - "enn is", - "ĠTe levision", - "in ated", - "l ike", - "ĠJ ul", - "ent h", - "Ġc at", - "ĠB ob", - "back ground", - "ĠP o", - "ĠB ank", - "Ġd en", - "ĠMich igan", - "Ġis land", - "c ing", - "Ġpl at", - "Ġsett le", - "Ġsch ol", - "ĠD isc", - "Ġlaun ched", - "Ġb all", - "ĠM ah", - "Ġoper ations", - "it iz", - "ĠC amb", - "air man", - "ov ers", - "Ġw oman", - "ĠPl aces", - "velop ment", - "Ġbeg inning", - "ac ing", - "Ġperson al", - "ĠJ er", - "ĠO s", - "Ġter rit", - "k o", - "Ġto wards", - "3 5", - "on n", - "Ġte xt", - "i as", - "Ġtrans port", - "ĠMc C", - "Ġgen us", - "ĠA thlet", - "Ġown ed", - "Ġdet erm", - "Ġt aking", - "Ġn ar", - "Ġf ood", - "ĠOp en", - "Ġmanag er", - "et ts", - "Ġacc ording", - "e es", - "Ġ196 7", - "Ġc ases", - "ĠT im", - "Ġm er", - "ĠH ung", - "ĠHe alth", - "ip s", - "y an", - "Ġn ames", - "ak a", - "Ġind ependent", - "Ġcon stru", - "Ġwh om", - "Ġp ay", - "us band", - "ĠV i", - "ly ing", - "Ġ196 4", - "ol s", - "Ġsc ience", - "Ġf a", - "Ġrem ov", - "Ġoffic er", - "Ġc red", - "ĠPhil ipp", - "Ġ )", - "ĠOh io", - "ĠB h", - "Ġsc ore", - "st ate", - "ĠK ent", - "Ġapprox imately", - "ĠIn f", - "Ġmin or", - "Ġv eh", - "ĠT op", - "Ġob serv", - "ĠL ine", - "ĠF r", - "7 5", - "ĠUn ivers", - "Ġcomp let", - "Ġbre ak", - "ĠR ou", - "im a", - "ĠPol and", - "Ġfun ction", - "ib ility", - "ĠJ o", - "b ury", - "ino is", - "Ġe ver", - "Ġsc reen", - "b on", - "Ġconc ern", - "Ġsp ent", - "Ġar my", - "ĠG al", - "ĠArg ent", - "Ġaddition al", - "ct ing", - "g a", - "pe cted", - "Ġsqu ad", - "Ġ6 0", - "ĠD is", - "o id", - "Ġph il", - "ĠII I", - "ĠA re", - "o ir", - "Ġnot ed", - "in et", - "ĠScot land", - "ĠM ot", - "ĠG h", - "Ġs elf", - "Ġob ject", - "en ced", - "Ġcomple x", - "Ġbo x", - "ir a", - "Ġc eleb", - "amp ions", - "ĠT re", - "ach us", - "ĠL ord", - "if y", - "w w", - "Ġiss ues", - "Ġcount y", - "ĠPol ish", - "Ġ19 20", - "os h", - "il ed", - "Ġch ief", - "ĠB or", - "en ces", - "Ġsen ior", - "es h", - "k ing", - "ĠQue en", - "Ġc he", - "Ġmon th", - "Ġb attle", - ": #", - "Ġcom mercial", - "ost on", - "Ġl ived", - "Ġs ummer", - "Ġele ctions", - "4 5", - "Ġits elf", - "Ġd ate", - "Ġmult iple", - "Ġrel ated", - "uf fer", - "ĠPac ific", - "Ġs at", - "read y", - "Ġpolitic ians", - "Ġfoc us", - "Ġhig hest", - "Ġro ute", - "ĠNew s", - "Ġso on", - "ĠM att", - "ĠJ r", - "ĠIll inois", - "Ġtradition al", - "d own", - "Ġto o", - "Ġl ittle", - "Ġf uture", - "Ġle t", - "Ġqu est", - "Ġes pecially", - "ĠDire ctor", - "Ġhig her", - "Ġopen ing", - "ay a", - "ard en", - "Ġsup er", - "Ġlo ok", - "ĠE nd", - "Ġ196 5", - "um s", - "Ġm oney", - "Ġc al", - "ac her", - "ĠO k", - "ĠBrit ain", - "Ġrequ ired", - "ĠRep resent", - "achus etts", - "f ect", - "Ġinter view", - "Ġun ion", - "ĠCon ference", - "ĠD i", - "ĠJ ersey", - "Ġ196 6", - "bur gh", - "em porary", - "ĠS and", - "ĠGeorg ia", - "Ġen vironment", - "r ich", - "ad or", - "Ġed itor", - "ct ic", - "ob al", - "Ġcont ains", - "Ġappear ance", - "ĠC y", - "ĠAs ia", - "Ġbel ow", - "Ġ18 0", - "k ins", - "Ġproper ty", - "Ġpri or", - "ĠG overnor", - "ĠA z", - "19 0", - "ĠC olle", - "ĠL ab", - "ĠMass achusetts", - "Ġvict ory", - "h ouse", - "Ġme ans", - "Ġsele cted", - "Ġent ered", - "ch ange", - "on se", - "ĠB oston", - "ĠF er", - "Ġstud ied", - "d s", - "Ġpro f", - "ig r", - "p ut", - "Ġh usband", - "ĠL o", - "ĠBo ok", - "Ġpract ice", - "ĠEast ern", - "S A", - "Ġe mer", - "Ġsur round", - "Ġloc ation", - "al ys", - "st anding", - "Ġex am", - "ut en", - "Ġassoci ated", - "emor ial", - "ĠTh at", - "Ġun it", - "ĠC O", - "ĠJ ournal", - "vent ion", - "Ġm ission", - "Ġstruct ures", - "Ġb ass", - "Ġr ad", - "ĠHe ad", - "Ġmur der", - "Ġtr ade", - "j a", - "Ġ3 5", - "Ġd on", - "w a", - "Ġprofess or", - "ĠL ibrary", - "ĠColumb ia", - "ĠB ang", - "Ġc ertain", - "Ġcent re", - "ĠJ ac", - "Ġstand ard", - "Ġship s", - "ĠG re", - "F C", - "Ġret ired", - "op er", - "Ġse at", - "Ġad op", - "Ġearl ier", - "ĠPr ince", - "Ġar ran", - "Ġ ens", - "3 3", - "i i", - "Ġrun ning", - "Ġmanag ement", - "ĠM ore", - "Ġ er", - "Ġbecom ing", - "Ġd om", - "ĠJe an", - "Ġde partment", - "ĠG ame", - "w ith", - "ĠF ield", - "Ġstud ent", - "ry ing", - "Ġ194 4", - "ĠM P", - "Ġactiv ities", - "t ained", - "Ġso ft", - "Ġt rib", - "ĠThe atre", - "ĠJ ones", - "Ġclub s", - "Ġcom e", - "ĠWilliam s", - "Ġl ength", - "an ks", - "Ġem b", - "Ġmunicip ality", - "il a", - "Ġleg al", - "and ed", - "i y", - "al le", - "Ġcoll abor", - "ĠSt an", - "ail s", - "ig g", - "ĠDe velopment", - "Ġmed ical", - "Ġact ors", - "Ġs uffer", - "Ġcom edy", - "arri age", - "in em", - "N E", - "ĠM iddle", - "gy pt", - "ian ce", - "Ġleg isl", - "Ġinit ially", - "om y", - "ĠW eb", - "Ġqu arter", - "Ġcaus ed", - "9 9", - "ĠM any", - "Ġal ready", - "ad el", - "Ġs ometimes", - "Ġp ie", - "s en", - "b re", - "ĠS oc", - "Ġp en", - "Ġth us", - "Ġtra in", - "ĠCo ast", - "ĠFranc isco", - "ĠE conom", - "ĠV an", - "Ġdestro y", - "Ġmov e", - "Ġoper ated", - "et ic", - "ĠI f", - "Ġfeat ure", - "ĠB ow", - "ĠH ong", - "Ġgeneral ly", - "ĠSt ep", - "ĠK ong", - "Ġar rest", - "Ġfore st", - "Ġincre ased", - "Ġequ ip", - "ĠD et", - "ĠS at", - "Ġold er", - "Ġh ockey", - "Ġl ove", - "ĠK ar", - "ĠW ater", - "ant ry", - "Ġcour se", - "Ġw ide", - "ĠOr gan", - "tra ck", - "Ġwest ern", - "ĠM u", - "ĠW ind", - "sp an", - "Ġnum erous", - "ĠAl bert", - "am m", - "ĠBl ue", - "Ġcon v", - "Ġus es", - "Ġcompet ed", - "n o", - "Ġc ouncil", - "Ġnew s", - "Ġra p", - "ĠMan ag", - "Ġg ra", - "Ġann ual", - "Ġdif fic", - "a res", - "ee ks", - "Ġs af", - "ĠF ed", - "is ation", - "ĠJohn son", - "ĠP res", - "Ġ196 3", - "Ġchang es", - "ĠCons erv", - "and s", - "k en", - "Ġv ir", - "ĠE ll", - "ĠD ie", - "ĠM id", - "ĠCh ild", - "on ia", - "ĠPerson al", - "ĠSy stem", - "el a", - "Ġmajor ity", - "og rap", - "Ġs u", - "ĠDe ath", - "ill a", - "Ġterm s", - "Ġserv ing", - "ĠB C", - "ĠCent re", - "ri ef", - "Ġiss ue", - "ul pt", - "Ġf ederal", - "ĠA k", - "att al", - "stit u", - "Ġab s", - "ĠB iography", - "Ġant i", - "ad d", - "Ġind ic", - "ple ment", - "Ġperson nel", - "Ġbet ter", - "Ġcol on", - "Ġun iversity", - "ab eth", - "ĠBro ad", - "Ġ196 2", - "ul f", - "Ġth reat", - "ĠSer b", - "el le", - "Ġrelig ious", - "ĠA ri", - "Ġse a", - "p re", - "Ġc ust", - "Ġs ister", - "ĠT ime", - "ĠE gypt", - "I n", - "ĠB al", - "Ġke ep", - "it ation", - "ĠOx ford", - "ak h", - "ĠB ir", - "ĠSt ation", - "ĠT em", - "Ġpro b", - "ĠG ood", - "ĠTrans port", - "ĠOff ice", - "A C", - "ĠIn t", - "ĠW rit", - "Ġd rop", - "Ġlin es", - "ĠS pe", - "Ġpass ed", - "ĠH ome", - "ĠT am", - "as y", - "ĠAd am", - "Ġd ed", - "ĠSpec ial", - "Ġl ack", - "ĠIs lam", - "ĠW ild", - "Ġacc om", - "che n", - "ĠAlex ander", - "ĠL ittle", - "ĠTra ck", - "t ies", - "ĠComm on", - "Ġh ot", - "Ġexp atriate", - "Ġthough t", - "Ġor d", - "ĠSwed ish", - "man n", - "art ers", - "Ġoffic ers", - "ĠF our", - "ie uten", - "ĠL y", - "ir it", - "is her", - "ce an", - "Ġrecord ing", - "Ġclaim ed", - "Ġh um", - "Ġfor ced", - "ur ban", - "ĠU l", - "Ġprogram s", - "9 5", - "ĠM ax", - "Ġeconom ic", - "Ġstat us", - "Ġdisc uss", - "Ġ4 5", - "ĠK en", - "w ar", - "ĠFound ation", - "Ġn ine", - "Ġinst r", - "Ġlim ited", - "un n", - "orpor ated", - "; \"", - "Ġm useum", - "a ction", - "Ġsupport ed", - "it age", - "Ġim medi", - "ĠB ern", - "Ġ194 2", - "Ġmin utes", - "ĠSen ate", - "Ġcomple te", - "Ġp il", - "acks on", - "ub e", - "Ġcre ate", - "b l", - "Ġgen er", - "ĠCor ps", - "Ġover all", - "Ġh ours", - "Ġsubsequ ently", - "h ire", - "Ġsh oot", - "Ġpresent ed", - "Ġb ene", - "8 8", - "Ġmeet ing", - "ĠThe ir", - "ph y", - "ĠEn ter", - "ĠLat in", - "Ġrem ains", - "ĠF ar", - "ĠGall ery", - "ĠC ard", - "ĠR ay", - "Ġ194 8", - "ro wn", - "Ġ ice", - "ing er", - "ĠAd d", - "ig inal", - "ĠAnd rew", - "Ġdes cent", - "Ġra ised", - "uc le", - "Ġearn ed", - "Ġin stitut", - "v is", - "Ġl ic", - "Ġocc as", - "ĠB ibl", - "A T", - "Ġbel ong", - "ct ors", - "Ġev idence", - "n am", - "Ġcommun ities", - "ĠA sh", - "Ġch all", - "ĠVictor ia", - "Ġgo ing", - "Ġ194 3", - "ĠO f", - "ĠF I", - "3 6", - "iz ing", - "Ġplat form", - "Ġmost ly", - "un a", - "ap ers", - "Ġ195 6", - "Ġj ob", - "ĠC reek", - "is k", - "Ġ196 1", - "ĠSe a", - "Ġhistor ical", - "u ge", - "um ber", - "Ġw eeks", - "Ġal tern", - "m i", - "Ġf le", - "Ġappear ances", - "ĠEl iz", - "Ġse qu", - "w ide", - "at ers", - "ĠSy d", - "ĠBer lin", - "ail y", - "Ġ6 5", - "ĠM inn", - "ur t", - "ĠDe v", - "Ġresp onse", - "ĠS und", - "ĠCor por", - "ĠT y", - "Ġg ive", - "4 7", - "Ġs om", - "ĠJ ackson", - "A F", - "ze ch", - "ieuten ant", - "Ġper cent", - "ĠC orn", - "ĠKore an", - "Ġpro p", - "Ġb ound", - "Ġsh own", - "Ġar m", - "ĠC op", - "Ġin sp", - "w in", - "im s", - "Ġcon cept", - "Ġ195 8", - "ir ing", - "Ġo pt", - "B S", - "Ġreg ional", - "ĠDan iel", - "Ġpartic ularly", - "Ġinc ome", - "g u", - "ĠAl bum", - "ĠW eek", - "Ġacqu ired", - "Ġparent s", - "Ġfore ign", - "ĠR aj", - "Ġb omb", - "ĠSec retary", - "ĠEle ct", - "ĠIs lands", - "Ġm ention", - "Ġpol icy", - "Ġy outh", - "ĠN ight", - "im um", - "ont o", - "Ġc ell", - "alys is", - "Ġ195 9", - "ste in", - "Ġm iddle", - "enc ies", - "3 8", - "che ster", - "Ġdis e", - "re m", - "Ġrecord s", - "ent y", - "ĠPol ice", - "Ġin n", - "Ġt akes", - "os oph", - "4 8", - "Ġlong er", - "ĠB BC", - "Ġl os", - "Ġg ot", - "Ġhel ped", - "ell ed", - "Ġpartic ular", - "Ġf ailed", - "ri ed", - "Ġappe ars", - "ĠG irl", - "Ġ ver", - "Ġpromot ed", - "ĠDes pite", - "Ġa wards", - "on ic", - "Ġpr incip", - "Ġst ep", - "Ġ194 6", - "ĠTh ree", - "ent al", - "st one", - "Ġfam ous", - "Ġbl ock", - "ĠKore a", - "Ġrem ain", - "out heast", - "Ġthe ory", - "ĠR od", - "olog ist", - "Ġin te", - "ag n", - "Ġv ote", - "Ġfin ancial", - "Ġorganiz ations", - "ak ers", - "Ġle aving", - "ĠAt t", - "Ġtra cks", - "ĠM ov", - "ĠR og", - "Ġeast ern", - "o z", - "led ge", - "Ġg overn", - "Ġbase ball", - "ĠB i", - "Ġp sych", - "Ġ194 1", - "Ġm em", - "ĠW ork", - "Ġtechn ology", - "Ġ3 2", - "Ġen ergy", - "v ement", - "cl ass", - "om er", - "Ġsc hed", - "Ġv on", - "if ying", - "Ġm ach", - "y o", - "Ġcompos ed", - "ron ze", - "Ġh app", - "4 6", - "Ġrefer red", - "b ers", - "ĠW all", - "ĠT ax", - "ĠReg iment", - "Ġspec ific", - "Ġcre w", - "ĠSyd ney", - "ĠF amily", - "3 7", - "Ġqu ick", - "em et", - "ĠH ospital", - "Ġincre ase", - "c ul", - "ĠM unicip", - "ĠK enn", - "Ġc itiz", - "Ġbelie ved", - "Ġrem aining", - "Ġw ord", - "ĠC oll", - "ĠSh ow", - "Ġprov ince", - "Ġc ateg", - "Ġlarg er", - "ĠJ oe", - "Ġhous es", - "ĠCh arl", - "rop ol", - "ĠV iet", - "ĠC zech", - "te en", - "Ġh ospital", - "v est", - "c an", - "Ġc arried", - "ĠO tt", - "ĠL im", - "Ġ eth", - "T h", - "ĠV en", - "ric e", - "il ly", - "ou ri", - "ĠBus iness", - "Ġam ount", - "Ġl atter", - "ĠH y", - "ĠW ay", - "Ġtro ops", - "ĠF ederal", - "th ur", - "istric ts", - "Ġ195 7", - "Ġd iss", - "Ġ193 9", - "C C", - "Ġ( ),", - "ĠAr m", - "Ġstart ing", - "ĠTur k", - "Ġarchite ct", - "ov a", - "ĠP en", - "9 6", - "Ġ194 7", - "sel ves", - "ment ary", - "im ated", - "Ġthem selves", - "Ġl ay", - "Ġb rand", - "ĠQue ens", - "ĠD er", - "Ġt arg", - "l av", - "rup t", - "Ġpro posed", - "Ġch arg", - "Ġn orm", - "9 8", - "Ġfor t", - "ut s", - "Ġro om", - "Ġb ring", - "Ġepis odes", - "Ġn ative", - "ĠR et", - "Ġc er", - "Ġ195 2", - "Ġr ate", - "ĠFor m", - "ĠB oth", - "ĠO nt", - "Ġindividual s", - "ĠW orks", - "ĠB and", - "eng er", - "Ġgradu ated", - "Ġassist ant", - "Ġ3 6", - "m ore", - "e ch", - "ut t", - "ur ies", - "Ġp ra", - "Ġl og", - "ĠB ab", - "Ġwinn er", - "Ġform s", - "Ġcult ural", - "p ose", - "Ġde part", - "ĠPri ze", - "Ġ195 5", - "Ġc ities", - "itt ing", - "Ġsur face", - "Ġc hem", - "he w", - "ĠPr ime", - "j i", - "Ġoffer ed", - "ĠE arth", - "ĠJ on", - "Ġv en", - "a is", - "Ġdel iver", - "ph ia", - "ĠCol or", - "Ġm erg", - "er b", - "Ġhe avy", - "ĠB oy", - "ĠTown ship", - "ĠT ay", - "ous ly", - "ĠT od", - "es ota", - "Ġexecut ive", - "Ġon line", - "ed d", - "9 7", - "Ġs pl", - "Ġpre vent", - "ĠJe ff", - "ĠBo oks", - "Ġm arriage", - "Ġmean ing", - "ĠPre mier", - "angu ages", - "A r", - "Ġad j", - "/ /", - "Ġt able", - "enn es", - "ĠL es", - "ĠRou te", - "Ġnewsp aper", - "ĠN ether", - "ĠM ir", - "ĠMinist ry", - "Ġsepar ate", - "Ġs ociety", - "Ġd yn", - "vers e", - "Ġcons ists", - "ound s", - "ell ig", - "ĠS em", - "ĠD ist", - "Ġfif th", - "c i", - "ion e", - "ĠNot able", - "per or", - "ĠEliz abeth", - "ou ra", - "Ġb ridge", - "ĠJ es", - "ĠB ell", - "Ġpe ak", - "ĠE st", - "ic ted", - "ĠAnt on", - "I S", - "Ġto day", - "ĠMinn esota", - "ro vers", - "Ġsuc ceed", - "Ġ ess", - "ĠB ol", - "adel phia", - "Ġexper ience", - "ĠBase ball", - "ran e", - "Ġf ail", - "Ġserv e", - "f it", - "ĠP ubl", - "Ġcond itions", - "Ġvari ety", - "ĠJust ice", - "Ġcomp l", - "Ġb rief", - "it ude", - "Ġf oot", - "h y", - "ĠTor onto", - "Ġlab el", - "Ġtransfer red", - "k er", - "u ated", - "3 4", - "Ġtem per", - "ess ion", - "Ġcandid ate", - "Ġb order", - "m as", - "Ġs ource", - "ĠH uman", - "ron ic", - "ic ine", - "ĠOnt ario", - "Ġhousehold s", - "res p", - "Ġpart n", - "ran ce", - "Ġmain ly", - "Ġmov ie", - "al og", - "ĠSqu ad", - "ĠSup reme", - "Ġalong side", - "ĠH ind", - "ĠA ut", - "z y", - "ĠM ike", - "Ġdes pite", - ": //", - "ĠCh ap", - "Ġsc ulpt", - "Ġrequ ire", - "ĠL em", - "in ct", - "Ġal ways", - "ĠS om", - "a ult", - "ĠReg ion", - "ĠB ad", - "ĠB orn", - "ĠL ew", - "ĠL ight", - "ĠN ations", - "ĠT ok", - "ĠB a", - "ĠSong s", - "ric s", - "Ġpart ies", - "we ight", - "e v", - "Ġ194 9", - "Ġ195 4", - "u ing", - "Ġoper ation", - "Ġiss ued", - "Ġdou ble", - "ic ks", - "ĠPro gram", - "Ġ( ,", - "ĠI d", - "an th", - "ĠW el", - "attal ion", - "Ġpo or", - "b it", - "n es", - "3 1", - "ĠAn other", - "Ġext ended", - "sec ut", - "Ġb r", - "Ġdem on", - "ort heast", - "Ġme chan", - "ĠAn th", - "Ġpl ans", - "Ġf ace", - "ĠD un", - "Ġprov ides", - "ĠC E", - "ĠA ff", - "Ġsold iers", - "Ġm akes", - "Ġart icle", - "Ġturn ed", - "Ġinflu ence", - "R A", - "Ġ8 0", - "Ġdef eat", - "Ġrespons ible", - "Ġsil ver", - "bour ne", - "Ġd one", - "Ġro w", - "Ġj un", - "Ġs n", - "ĠHar ris", - "Ġ195 3", - "ĠA h", - "Ġarr ived", - "ra ine", - "ĠStep hen", - "er land", - "ill ed", - "Ġfeat uring", - "ĠB rad", - "Ġh ar", - "ĠMex ican", - "Ġdiffic ult", - "ĠPhil adelphia", - "w orth", - "ĠSt adium", - "Ġr ugby", - "che stra", - "os a", - "Ġst ories", - "Ġnear by", - "8 5", - "Ġm aster", - "Ġspe ed", - "ons in", - "Ġun ivers", - "Ġex cept", - "Ġa thlet", - "pt on", - "ĠSt at", - "ĠAir port", - "ĠA v", - "Ġcap ac", - "ĠCh art", - "l ers", - "Ġc orn", - "Ġhon or", - "ĠPak istan", - "om ot", - "isc onsin", - "ĠT ai", - "av en", - "ri f", - "writ er", - "b ass", - "ĠSant a", - "ĠNether lands", - "Ġparticip ated", - "Ġo il", - "ag on", - "Ġres idents", - "at ively", - "ĠC rit", - "Ġ7 0", - "Ġs aying", - "m ission", - "Ġwinn ers", - "av a", - "Ġmanag ed", - "Ġst ay", - "Ġf ellow", - "e ction", - "Ġadminist rative", - "ĠK ir", - "ĠD am", - "l ight", - "ob ile", - "Ġelect ric", - "p on", - "Ġorig in", - "b a", - "Ġcon stitu", - "ĠMed ia", - "Ġdiscover ed", - "Ġm ight", - "um ed", - "und red", - "Ġcover ed", - "rop ical", - "ĠRev olution", - "ĠProfess or", - "ĠBr ig", - "Ġren amed", - "Ġs urn", - "n s", - "or g", - "ĠInd ones", - "Ġback ground", - "Ġmunicip al", - "8 6", - "ĠW isconsin", - "Ġlik ely", - "ĠH o", - "Ġcont ra", - "d is", - "ĠCh ris", - "Ġin h", - "ĠA venue", - "Ġrec ent", - "ĠGu ard", - "Ġmusic ians", - "ĠPe ak", - "ĠR ome", - "Ġ195 1", - "Ġpar ish", - "4 4", - "Ġele ments", - "ĠC ub", - "Ġto ld", - "ig en", - "ran ge", - "qu arters", - "ac hel", - "Ġv an", - "an cy", - "Ġas ked", - "Ġg un", - "Ġ +", - "igh ter", - "Ġconstru cted", - "Ġcon fl", - "ĠPr im", - "Ġproble ms", - "ĠTechn ology", - "ĠK im", - "Ġ ult", - "Ġfinal ly", - "ow a", - "7 6", - "ĠS us", - "Ġhe art", - "ĠS her", - "Ġle ave", - "Ġo ur", - "oc ks", - "est abl", - "Ġn ature", - "emet ery", - "Ġneigh bor", - "ir med", - "ĠP ers", - "ke e", - "Ġpro gress", - "Ġprodu cts", - "ĠMus lim", - "ĠCamb ridge", - "ĠL i", - "Ġth r", - "Ġp ick", - "ctor al", - "we gian", - "Ġhe re", - "or ation", - "ĠInd ust", - "ot o", - "Ġimp act", - "Ġnear ly", - "ĠFore st", - "Ġdr ug", - "Ġp aper", - "ĠDu ke", - "ĠB ishop", - "Ġc ause", - "5 5", - "Ġp age", - "Ġen ough", - "Ġp ath", - "g ing", - "Ġw anted", - "ĠL ady", - "Ġsub s", - "m et", - "Ġde ad", - "am ber", - "Ġmedal ists", - "w ick", - "ĠSl ov", - "per ial", - "ĠLeg isl", - "r im", - "Ġreve aled", - "ap ed", - "Ġarchite cture", - "ĠEx p", - "ĠP u", - "Ġra ces", - "ric t", - "ĠC a", - "Ġne cess", - "Ġch ampion", - "Ġsec urity", - "n ic", - "s s", - "ĠCommun ity", - "ist ance", - "Ġdirect ly", - "ens ity", - "Ġsol o", - "ĠSt r", - "g et", - "Ġv oice", - "ĠWil son", - "3 2", - "Ġp it", - "epend ence", - "ins on", - "ĠPro ject", - "Ġadd ress", - "Ġsus p", - "ĠS ab", - "ĠP ower", - "orn ing", - "ĠAdm inist", - "Ġl ives", - "Ġan cient", - "Ġlead ers", - "Ġ193 6", - "Ġminist er", - "ĠCorpor ation", - "Ġoffic ially", - "Ġincre asing", - "Ġcy cl", - "Ġproject s", - "ĠCol on", - "ĠMed ical", - "ĠMar g", - "L e", - "l iving", - "Ġdis play", - "Ġprim arily", - "Ġr ural", - "ad ing", - "ĠBar b", - "Ġadminist ration", - "en ge", - "9 4", - "van ced", - "ou d", - "Ġcondu cted", - "Ġinit i", - "Ġfriend s", - "Ġlevel s", - "ĠH ay", - "ang a", - "roll ed", - "Ġpos itive", - "en ing", - "Ġs port", - "Ġmount ain", - "ens is", - "e cted", - "ĠD ar", - "ĠNor wegian", - "Ġc ard", - "ĠSwed en", - "S S", - "ĠF air", - "Ġch ap", - "ĠI ra", - "in ity", - "Ġl y", - "i at", - "ĠM oh", - "ĠF ire", - "ĠL t", - "Ġinit ial", - "yd ro", - "ĠV ideo", - "ĠSh ort", - "ul ly", - "Ġacadem ic", - "ĠIndian a", - "ĠGold en", - "uc ky", - "Ġp an", - "ĠF le", - "Ġ9 0", - "e en", - "Ġp p", - "ĠMount ain", - "ĠW inn", - "Ġf irm", - "ĠM un", - "ak i", - "Ġch annel", - "Ġdis p", - "ĠBibl iography", - "Ġs ources", - "Ġrepl ace", - "bo ok", - "ĠWin ter", - "Ġwho le", - "ĠAr thur", - "Ġlist ing", - "Ġwork ers", - "Ġ193 8", - "ĠSc iences", - "Ġlet ter", - "cript ion", - "Ġnum bers", - "ĠR ad", - "ribut ed", - "ĠN iger", - "Ġconsid er", - "ĠAl f", - "ĠPl ace", - "Ġm ic", - "Ġval ue", - "ĠDes ign", - "ĠRe view", - "ĠB udd", - "Ġde ep", - "ĠS u", - "L A", - "Ġlaw s", - "ur ches", - "ĠH u", - "em y", - "ed om", - "ĠK ansas", - "ant a", - "ĠAl so", - "Ġliter ature", - "Ġwhe ther", - "Ġremov ed", - "th ing", - "ĠL ive", - "Ġ19 18", - "g al", - "he im", - "Ġs al", - "ĠMar ia", - "Ġwith d", - "A l", - "Ġded icated", - "el d", - "i est", - "ĠGe ography", - "ĠCap tain", - "ĠU s", - "port un", - "ert o", - "ĠDe p", - "Ġsy n", - "Ġg rew", - "ony m", - "Ġd omin", - "Ġw ords", - "ĠBar on", - "F F", - "Ġplann ed", - "ĠPopul ated", - "ĠPolit ical", - "r ical", - "Ġst ars", - "ĠJun ior", - "ĠRes ults", - "7 8", - "Ġnot able", - "Ġeffect s", - "ĠUS A", - "Ġsh are", - "je cted", - "ĠU t", - "Ġk ind", - "it ter", - "e z", - "ic ed", - "Ġr ule", - "ĠMiss ouri", - "p resent", - "Ġd ark", - "E C", - "Ġcomp uter", - "Ġp iano", - "Ġorder ed", - "ĠTay lor", - "Ġreg ist", - "Ġsettle ment", - "ath an", - "ĠM aster", - "resp ond", - "ĠH an", - "Ġprom inent", - "ik a", - "M A", - "Ġsp read", - "ĠR ugby", - "Ġcontin ue", - "ĠB ridge", - "is hes", - "ĠP it", - "ĠColor ado", - "reg on", - "y al", - "Ġrec over", - "ab les", - "rest ling", - "Ġref le", - "ĠFranc is", - "Ġun s", - "res h", - "se x", - "ell er", - "ĠE P", - "ag ing", - "Ġv ac", - "O S", - "Ġ3 4", - "Ġvot es", - "for ce", - "Ġsc ene", - "Ġfollow s", - "Ġwe ap", - "Ġdire ction", - "tern et", - "il ton", - "6 6", - "g reg", - "ĠSte ve", - "ĠR em", - "ist ed", - "Ġmix ed", - "Ġto uch", - "Ġb ranch", - "Ġhost ed", - "Ġext ra", - "ĠCon ne", - "Ġd igital", - "Ġg as", - "Ġre form", - "Ġl anguages", - "ĠW alk", - "Ġg reen", - "Ġart icles", - "Ġrul es", - "Ġpot ential", - "Ġ193 7", - "Ġim plement", - "Ġre ason", - "hen s", - "Ġint ended", - "Ġp urs", - "Ġill ust", - "ĠStud ies", - "Ġcons erv", - "en es", - "g n", - "hem at", - "Ġn ation", - "Ġan g", - "z ona", - "enn a", - "ĠRepresent atives", - "Ġhistor ic", - "Ġ era", - "3 9", - "ĠCast le", - "ĠC irc", - "y ard", - "ĠL ind", - "ĠE arl", - "Ġtri al", - "ul ated", - "Ġdiv ided", - "ĠG ree", - "Ġcapac ity", - "Ġide a", - "ĠM ember", - "Ġ ut", - "ĠN az", - "g rad", - "Ġcol or", - "Ġfor ward", - "ropol itan", - "Ġt al", - "Ġtit led", - "ograph ic", - "n ce", - "Ġrespect ively", - "Ġfl oor", - "Ġdestroy ed", - "Ġtit les", - "Ġtreat ment", - "Ġs oc", - "ĠO regon", - "ol es", - "ĠJ os", - "Ġass igned", - "ĠK al", - "ĠMar sh", - "Ġengine er", - "ĠK el", - "Ġ6 4", - "20 10", - "it led", - "ĠF e", - "Ġtown s", - "7 7", - "g g", - "ill ery", - "ur d", - "ĠTur key", - "ĠWar s", - "ĠMal ays", - "ĠP ier", - "Ġin side", - "Ġp arliament", - "or al", - "ap ore", - "ĠFred er", - "ĠH al", - "ĠR om", - "ly n", - "k h", - "ĠZ h", - "Ġag ric", - "ix ed", - "% )", - "Ġbas is", - "Ġd ance", - "Ġactiv ity", - "6 5", - "Ġsem i", - "Ġnov els", - "Ġre pe", - "and on", - "Ġcompos er", - "Ġbeh av", - "200 7", - "Ġun known", - "Ġreview s", - "Ġsit es", - "ĠE th", - "Ġ. ..", - "ĠBrazil ian", - "ĠComm and", - "Ġc ounter", - "re al", - "c ow", - "iv ity", - "Ġgrow th", - "b ec", - "Ġcle ar", - "Ġst reet", - "ĠDav is", - "Ġcont rovers", - "Ġmet al", - "ĠCon f", - "Ġfem ales", - "ĠP ass", - "b u", - "M S", - "Ġeffort s", - "Ġpurch ased", - "Ġp al", - "Ġpl ants", - "Ġbecom es", - "ennes see", - "b ell", - "Ġmov ing", - "Ġp et", - "Ġup per", - "ĠBro ok", - "ĠCon c", - "ĠAtl antic", - "ear s", - "Ġcont est", - "Ġprodu ce", - "iz es", - "ĠCount ry", - "Ġfe el", - "ĠSt and", - "ast y", - "ĠT al", - "ĠBe ach", - "ĠC re", - "ĠB all", - "Ġfac ilities", - "Ġl ies", - "ĠAri zona", - "a ud", - "ĠG reg", - "un ct", - "em an", - "Ġquest ion", - "ĠPhilipp ines", - "Ġcer em", - "ĠT a", - "ian t", - "it o", - "200 9", - "ĠN ic", - "ad ed", - "Ġtyp es", - "Ġequip ment", - "ĠFore ign", - "Ġcapt ured", - "I A", - "ĠF ree", - "Ġprodu ct", - "f ort", - "Ġsmall er", - "Ġatt end", - "est ic", - "Ġquick ly", - "Ġst ore", - "Ġy et", - "ĠK r", - "b ro", - "w ater", - "Ġhigh ly", - "200 0", - "e k", - "Ġle aves", - "ĠSe ver", - "Ġcont act", - "Ġcitiz ens", - "Ġ5 00", - "ĠS on", - "ar p", - "ound ed", - "Ġform at", - "b les", - "Ġdocument ary", - "Ġ4 4", - "Ġest ate", - "ast ic", - "st yle", - "ĠT ennessee", - "Ġimmedi ately", - "Ġ( ;", - "ĠLe on", - "ren ce", - "Ġorgan ized", - "if orm", - "Ġaccept ed", - "Ġs umm", - "ĠMar c", - "Ġg re", - "b ed", - "ed ia", - "k in", - "ipl om", - "w atch", - "Ġop portun", - "ĠNor way", - "j an", - "Ġcon ver", - "ĠM as", - "a ug", - "20 11", - "ef e", - "ĠS ri", - "Ġm ax", - "Ġown er", - "ul ed", - "Ġcon ference", - "Ġfl ight", - "Ġr at", - "ĠC as", - "ian g", - "s ky", - "ur er", - "Ġ193 5", - "ĠN etwork", - "Ġ19 19", - "Ġphys ical", - "Ġfav or", - "Ġfac ulty", - "Ġro les", - "200 6", - "g ers", - "o is", - "200 8", - "Ġst ra", - "Ġsy mb", - "Ġaut om", - "Ġb ronze", - "er c", - "Ġdecl ared", - "ĠMary land", - "amb ig", - "Ġconf irmed", - "Ġsoft ware", - "se y", - "am i", - "ĠC ra", - "ĠS av", - "Ġmot or", - "Ġte acher", - "Ġchar ge", - "Ġre ach", - "ol n", - "Ġcommon ly", - "ĠUk raine", - "Ġpos itions", - "ann a", - "Ġaff ili", - "Ġg overnor", - "Ġ19 14", - "Ġhous ing", - "Ġoper ating", - "ĠHigh way", - "Ġv s", - "ĠO d", - "Ġ3 3", - "eat her", - "ĠB at", - "ĠBe fore", - "Ġprogram ming", - "Ġper man", - "Ġbe at", - "im al", - "Ġh tt", - "Ġstre ng", - "ĠIra q", - "U n", - "ĠS ources", - "Ġele v", - "am in", - "ce st", - "Ġcomp ared", - "r ate", - "ĠFor mer", - "Ġcom es", - "h at", - "ĠBack ground", - "ĠSing apore", - "Ġterrit ory", - "ĠFed eration", - "are t", - "Ġab ility", - "ĠMod ern", - "Ġagre ement", - "Ġd istricts", - "b s", - "Ġcom ment", - "Ġtarg et", - "ĠK l", - "CA A", - "Ġst one", - "Ġ19 10", - "ĠM emorial", - "Ġfound er", - "ĠR oss", - "ĠL iter", - "Ġw a", - "Ġp op", - "ĠDe c", - "Ġsw im", - "ellig ence", - "Ġ19 17", - "Ġg iving", - "ag a", - "ĠD or", - "Ġagre ed", - "ĠF ox", - "Ġatt ention", - "ĠCh ile", - "Ġmod els", - "ar c", - "Ġappro ach", - "Ġengine ering", - "5 8", - "Ġn ucle", - "9 3", - "inc ial", - "vent h", - "ĠH or", - "Ġcamp us", - "ĠO cean", - "ĠS ound", - "S P", - "Ġpe ace", - "ĠE ach", - "m ad", - "west ern", - "igh th", - "du ce", - "Ġlead ership", - "Ġinstitut ions", - "Ġw alk", - "Ġatt ra", - "Ġc ars", - "od ies", - "S C", - "ap h", - "Ġl if", - "Ġap art", - "ript ion", - "Ġ192 8", - "Ġy ards", - "Ġest imated", - "Ġel im", - "z o", - "ĠB ru", - "igr ants", - "ol i", - "Ġse ats", - "Ġth ink", - "Ġoccur red", - "Ġbl ood", - "ĠR en", - "un te", - "Ġw ing", - "ĠW at", - "ambig uation", - "op her", - "ĠD iv", - "ĠEnter tain", - "ĠH art", - "ĠS port", - "Ġg ained", - "ad er", - "200 5", - "Ġneed ed", - "ot i", - "Ġch airman", - "Ġmed ian", - "ĠPhil ip", - "Ġ x", - "Ġact ing", - "ĠF a", - "ĠLew is", - "Ġsuffer ed", - "Ġcon clud", - "Ġdise ase", - "Ġfig ure", - "Ġadop ted", - "Ġrec on", - "Ġb ad", - "ĠB os", - "ĠMel bourne", - "Ġfl ag", - "Ġ192 9", - "Ġs ens", - "Ġcr ime", - "in us", - "Ġc oin", - "ed er", - "we alth", - "Ġdist ribution", - "Ġserv es", - "ĠT s", - "5 00", - "ĠMos cow", - "ĠT en", - "Ġst ream", - "Ġp oll", - "Ġent er", - "it ness", - "Ġf ell", - "ul s", - "Ġan alysis", - "H L", - "ĠPro duction", - "rain ian", - "Ġcomb ined", - "im inal", - "l ah", - "Ġcomm ittee", - "Ġjournal ist", - "' ,", - "s pe", - "Ġ3 8", - "ĠT est", - "ans ion", - "Ġcont ent", - "Ġcor respond", - "Ġj oint", - "T A", - "ĠAb b", - "ag h", - "or ter", - "ĠSe ason", - "Ġqu ality", - "Ġcan cer", - "Ġv ess", - "Ġpre c", - "20 12", - "200 4", - "ing ham", - "Ġ193 3", - "Ġpolit ics", - "ĠSt ock", - "y es", - "Ġres ident", - "Ġ193 4", - "ĠCro at", - "or ph", - "anc ing", - "Ġra re", - "ĠSpr ing", - "S h", - "ost er", - "ĠAb d", - "Ġcont emporary", - "ĠEngine ering", - "Ġproble m", - "ugu ese", - "ol id", - "ast ers", - "Ġ urban", - "Ġperforman ces", - "Ġtyp ically", - "A n", - "Ġh abit", - "y ond", - "al o", - "ĠR ound", - "p et", - "Ġret ire", - "pl ace", - "Ġmention ed", - "eth ing", - "Ġofficial s", - "l aw", - "Ġnomin ated", - "ĠHe art", - "Ġb ig", - "Ġindust rial", - "9 1", - "Ġcom ing", - "Ġun c", - "ib ly", - "ĠH ard", - "ash ion", - "ĠB on", - "Ġh undred", - "Ġf iction", - "id i", - "w orks", - "Ġpres ence", - "Ġl abor", - "ov i", - "ĠTurk ish", - "Ġbl ue", - "ĠQueens land", - "ĠKh an", - "ĠV o", - "p ass", - "Ġeduc ated", - "ant e", - "9 2", - "it i", - "w ing", - "Ġex c", - "g ar", - "Ġh or", - "20 13", - "ir al", - "ĠJew s", - "ĠH ou", - "ol ved", - "v ard", - "Ġf ast", - "l i", - "id ers", - "is a", - "ĠAdd ition", - "V ID", - "Ġpr in", - "il ing", - "ic ian", - "ĠB alt", - "Ġcol umn", - "hed ral", - "Ġco al", - "g i", - "Ġlarg ely", - "Ġresult ed", - "dis ambiguation", - "Ġrecogn ized", - "osoph y", - "ot ed", - "Ġprob ably", - "ĠI owa", - "ĠAust ria", - "m outh", - "Ġe c", - "Ġ ir", - "ak s", - "ĠG il", - "ĠAr k", - "ĠCommon wealth", - "for mer", - "Ġab andon", - "Ġ192 4", - "Ġb oy", - "Ġdam age", - "d a", - "Ġres erv", - "ĠR ang", - "p son", - "Ġm iles", - "Ġcon cent", - "ĠKent ucky", - "Ġh op", - "ĠBro ther", - "os en", - "ĠO t", - "Ġbur ied", - "ĠE c", - "Ġc ab", - "u ate", - "Ġpaint ing", - "Ġschol ar", - "ĠD own", - "ĠB ah", - "v o", - "ĠC ab", - "Ġc am", - "ĠSports people", - "Ġwid ely", - "act er", - "Ġsc oring", - "G B", - "Ġexp anded", - "5 6", - "Ġc ode", - "Ġ19 00", - "Ġvill ages", - "z h", - "Ġar ts", - "Ġex pected", - "Ġrank ed", - "ol is", - "Ġ193 2", - "Ġ3 7", - "Ġsex ual", - "ĠEntertain ment", - "Ġclass ical", - "Ġsports people", - "Ġb ra", - "ĠSquad ron", - "ĠK itt", - "Ġnew ly", - "Ġrec omm", - "Ġident ified", - "ĠHar ry", - "Ġm m", - "Ġcrit ical", - "Ġf elt", - "Ġgr anted", - "Ġm ill", - "Ġdef end", - "ĠAre a", - "oc ese", - "iqu es", - "ar o", - "ĠC ape", - "Ġp ict", - "u i", - "form ed", - "ain e", - "cl es", - "Ġse arch", - "ĠWal ter", - "Ġsecond ary", - "ĠBel g", - "Ġ rom", - "Ġf ish", - "Ġad apt", - "Ġsqu are", - "ĠH ur", - "ĠManag ement", - "ĠT ony", - "ĠD anish", - "ĠG i", - "Ġcou ple", - "Ġdr ums", - "Ġstar ring", - "Ġal le", - "m itted", - "ro g", - "us ion", - "ĠL ike", - "Ġlos ing", - "Ġb illion", - "Ġwe ight", - "Ġconc ert", - "20 14", - "k es", - "se ason", - "ĠSw iss", - "l ast", - "Ġs ales", - "Ġt aught", - "t ing", - "il ation", - "Ġcre ation", - "Ġcond ition", - "Ġre duced", - "Ġm ess", - "ett ing", - "ĠViet nam", - "ĠN ick", - "Ġco aches", - "Ġdist ance", - "Ġthe atre", - "vi ation", - "Ġcomm ander", - "Ġpress ure", - "8 7", - "Ġresult ing", - "Ġw ild", - "Ġ192 7", - "Ġb al", - "Ġpre mier", - "or ship", - "Ġthere fore", - "Ġoff ers", - "ĠCO VID", - "0 5", - "ĠR on", - "itz erland", - "i ot", - "ĠInf antry", - "ĠProfess ional", - "ĠPort uguese", - "S T", - "Ġcap tain", - "200 3", - "ĠG ord", - "ĠRec ord", - "cl aim", - "ĠReg ional", - "Ġinstr ument", - "ĠS ix", - "Ġlo an", - "oc ated", - "ĠTh rough", - "ĠT an", - "Ġ19 12", - "p ur", - "Ġsp ons", - "4 1", - "ĠAm ong", - "Ġsec ret", - "20 15", - "ĠSim on", - "ĠUk rainian", - "ĠA st", - "ĠB eng", - "ĠSe le", - "Ġt im", - "ĠT reat", - "m es", - "Ġtw ice", - "Ġauthor ities", - "ĠAl b", - "ĠH and", - "Ġrec ently", - "al ing", - "Ġarrest ed", - "ĠF inn", - "Ġsurn ame", - "V D", - "Ġ193 1", - "4 2", - "ad s", - "Ġstr ugg", - "ict ional", - "orn ey", - "h o", - "ĠN ik", - "Ġyoung er", - "Ġform ation", - "p a", - "I C", - "ĠN CAA", - "Ġpre p", - "Ġinj ury", - "ord in", - "Ġbeg ins", - "ĠL abor", - "um es", - "ĠAr men", - "i pe", - "Ġformer ly", - "Ġ192 2", - "ĠBul g", - "Ġra cing", - "ym n", - "0 7", - "Ġatt acks", - "Ġg raph", - "ĠH ans", - "ĠD rag", - "Ġvers ions", - "Ġw all", - "ĠGree ce", - "m iss", - "ĠI l", - "lah oma", - "ĠSt aff", - "0 6", - "Ġfin ish", - "ĠIsrael i", - "ĠAff airs", - "ĠPl an", - "Ġth ous", - "Ġsurround ing", - "Ġprov iding", - "ĠG er", - "ĠAn ne", - "ĠArch ite", - "Ġcrit ics", - "ĠPh ys", - "ay er", - "ĠSpace watch", - "Ġrest aur", - "Ġdis establ", - "b ra", - "os is", - "Ġc e", - "Ġser ious", - "0 8", - "m ont", - "re ll", - "ĠA ud", - "ĠRe al", - "Ġ192 1", - "ĠTok yo", - "ĠAl i", - "Ġvoc al", - "200 1", - "Ġt ree", - "Ġpat tern", - "as ion", - "Ġknow ledge", - "ĠBill board", - "p ool", - "ĠMill er", - "Ġ192 5", - "b i", - "ĠBe c", - "Ġshow ed", - "ĠK at", - "T C", - "ĠTr ust", - "Ġob tained", - "Ġstat istics", - "Ġc arri", - "ĠJac ob", - "Ġspl it", - "ĠN ap", - "Ġreg ions", - "Ġinte g", - "Ġ192 6", - "ann ing", - "ĠBet ween", - "og ue", - "ĠG ab", - "Ġp aid", - "ĠOr iginal", - "Ġrece ive", - "ain ts", - "ĠSw itzerland", - "ĠD omin", - "Ġl ibrary", - "inc oln", - "Ġtra ins", - "iv als", - "ĠMan chester", - "ograp her", - "g ro", - "ĠHol y", - "ĠP ict", - "ĠTh ird", - "ĠAl ab", - "Ġb ow", - "Ġf estival", - "ĠJan e", - "ru it", - "ĠEm peror", - "ĠAnd erson", - "Ġpro pos", - "p ri", - "or i", - "ĠSen ior", - "Ġnot es", - "ĠChrist mas", - "Ġc ells", - "ug al", - "Ġdesign ated", - "ĠOk lahoma", - "ĠBuild ings", - "Ġsp ring", - "og s", - "ĠServ ices", - "l ines", - "Ġn et", - "Ġsup pl", - "in y", - "Ġp ack", - "ĠR a", - "ill er", - "Ġl iber", - "ĠF ac", - "ĠCh ampions", - "20 16", - "Ġmay or", - "Ġim age", - "Ġke pt", - "Ġsugg ested", - "el ine", - "m un", - "Ġmark ed", - "ĠB rian", - "Ġclaim s", - "ific ations", - "Ġtw enty", - "Ġlaun ch", - "Ġtr ue", - "ĠT urn", - "ous es", - "Ġmanag ers", - "Ġreg ul", - "ĠPro te", - "ic ians", - "ĠK am", - "Ġh y", - "ĠB arn", - "Ġd ial", - "f ef", - "ĠA le", - "Ġconfl ict", - "Ġveh icles", - "Ġpain ter", - "ĠChild ren", - "ĠL ar", - "Ġent ry", - "Ġinsp ired", - "ĠLem mon", - "Ġfig ures", - "200 2", - "Ġ192 3", - "Ġh all", - "ĠP oint", - "Ġsp irit", - "Ġre ports", - "Ġ19 16", - "Ġexper iment", - "ate ur", - "4 9", - "Ġsup ply", - "ĠD ue", - "Ġm ales", - "Ġsix th", - "Ġhead quarters", - "ĠN aval", - "Ġb ott", - "ĠFr ont", - "and y", - "ĠRe ception", - "Ġro yal", - "Ġcontin ues", - "Ġconne cted", - "1 00", - "ĠMc G", - "ro om", - "Ġw ins", - "ĠF ord", - "Ġsh op", - "Ġtra ffic", - "Ġd ensity", - "Ġg ives", - "ĠF il", - "ubl in", - "8 9", - "oot h", - "ĠK y", - "4 3", - "Ġport ray", - "N ew", - "ĠR un", - "ĠPr in", - "Ġ19 15", - "fef efe", - "qu es", - "Ġsl ight", - "ch a", - "ri p", - "Ġjud ge", - "Ġmaterial s", - "Ġact ually", - "Ġn ortheast", - "Ġthem e", - "ly wood", - "al so", - "ok ing", - "E R", - "Ġpart ner", - "Ġa im", - "Ġ7 5", - "; \"|", - "20 17", - "oth s", - "Ġop position", - "Ġcomp on", - "ĠP op", - "rat or", - "ĠAlab ama", - "ĠLab our", - "ĠHow ard", - "Ġpromot ion", - "Ġsucceed ed", - "Ġpur pose", - "Ġcl imate", - "ĠBas ketball", - "ĠAlbum s", - "ĠL ow", - "ol ished", - "u ous", - "ĠR ose", - "r in", - "ene z", - "ĠF ame", - "ĠL incoln", - "Ġte aching", - "ĠI V", - "ro it", - "Ġgre ater", - "ĠHam ilton", - "ĠE ric", - "ĠSing les", - "v ens", - "ĠN ative", - "Ġtri ed", - "ĠL ieutenant", - "Ġcompet itions", - "Ġet c", - "6 7", - "Ġfac ility", - "A A", - "ĠPl ot", - "ĠB attalion", - "ĠT el", - "l an", - "Ġallow ing", - "ional ly", - "l ife", - "ĠMiss iss", - "Ġb att", - "b ot", - "ĠB urn", - "ĠSur vey", - "Ġt alk", - "Ġpres erv", - "Ġs ays", - "ĠAust rian", - "ĠDou gl", - "off s", - "ĠK az", - "ĠY outh", - "0 1", - "Ġmusic ian", - "ĠN ich", - "ecut ive", - "ĠS n", - "ĠMar ine", - "Ġacc ident", - "ag u", - "ik h", - "hes s", - "Ġ4 2", - "Ġc ert", - "ĠFor ces", - "Ġsc ript", - "Ġvis it", - "wh ich", - "ipp i", - "ed ing", - "Ġhistor ian", - "e ast", - "Ġto wer", - "Ġsing ers", - "Ġpublic ation", - "Ġscient ific", - "ur ance", - "Ġt ells", - "Ġ @", - "ĠCh annel", - "ĠMount ains", - "Ġcan not", - "u v", - "ĠDes cription", - "ord an", - "Ġreturn ing", - "Ġgrow ing", - "Ġexist ing", - "ĠExp atriate", - "Ġf ully", - "ĠLoc al", - "ctic ut", - "ĠHar vard", - "achel or", - "ĠBuild ing", - "ĠArgent ina", - "Ġp le", - "Ġappl ied", - "Ġsl ow", - "Ġp air", - "ure au", - "Ġle tt", - "Ġsit uation", - "Ġal one", - "ĠCur rent", - "ad i", - "Ġm om", - "ut her", - "20 18", - "ĠHon or", - "Ġall ows", - "rel ated", - "st ic", - "Ġmag n", - "id ge", - "Ġa ired", - "ĠTem ple", - "olog ists", - "Ġmet res", - "Ġd raft", - "Ġop pos", - "Ġsp ot", - "ĠC ost", - "ĠN ow", - "d am", - "ĠPri x", - "st an", - "Ġfight ing", - "ĠW olf", - "in th", - "ĠD om", - "ĠM it", - "f inals", - "ist ry", - "Ġm ut", - "ĠR oll", - "ĠG ram", - "5 7", - "Ġy ellow", - "Ġc art", - "is er", - "ĠPro t", - "ĠMor ris", - "Ġd iplom", - "' .", - "w ich", - "Ġmeas ure", - "ard o", - "Ġsit uated", - "D on", - "Ġs uit", - "Ġun ique", - "Ġm ap", - "ial s", - "Ġ19 13", - "ĠA uthor", - "Ġsaf ety", - "ĠConne cticut", - "ĠSt one", - "Ġs ons", - "Ġbrother s", - "ĠAnth ony", - "20 19", - "Ġpr int", - "ast e", - "Ġad vanced", - "ĠL as", - "ĠJ am", - "Ġw ant", - "Ġe arth", - "Ġmain tain", - "Ġhe av", - "ol as", - "ĠHistor ical", - "ĠN ag", - "or gan", - "Ġgu est", - "clud ing", - "Ġfe et", - "ingu ished", - "ĠL ank", - "ĠSec urity", - "ĠCol omb", - "ĠB rand", - "igen ous", - "ĠJ ay", - "Ġold est", - "Ġag ent", - "ĠPat rick", - "eral d", - "ch i", - "ĠTai wan", - "Ġhand s", - "Ġclass es", - "on om", - "ĠSt ory", - "ĠQue bec", - "at al", - "out s", - "ĠSil ver", - "ell o", - "est er", - "ĠK arl", - "Ġs ides", - "h ol", - "Ġb ill", - "Ġly rics", - "ĠN FL", - "s ort", - "Ġchart s", - "c ont", - "ĠD ur", - "Ġfl ood", - "ĠSund ay", - "ĠW ell", - "ant on", - "ĠC ulture", - "Ġgo es", - "Ġnar row", - "Ġth ings", - "Ġv ice", - "ĠEr n", - "Ġl ot", - "ĠN a", - "ĠMag azine", - "ĠJu an", - "Ġh orse", - "ĠR ural", - "Ġch osen", - "j oy", - "Ġp un", - "ĠT ar", - "ĠL in", - "inem a", - "Ġg all", - "ĠV is", - "Ġar ms", - "Ġme ant", - "at us", - "6 8", - "ĠP ot", - "Ġset s", - "Ġloc omot", - "Ġtem ple", - "os lav", - "Ġex change", - "im ens", - "ĠC ensus", - "ĠN on", - "ress ion", - "ĠBec ause", - "ĠHou ston", - "Ġr isk", - "ĠW y", - "d ied", - "Ġcor por", - "ĠH un", - "Ġe as", - "ĠH amp", - "ĠLouis iana", - "Ġs ail", - "Ġth ir", - "ĠBrig ade", - "Ġport ion", - "Ġcommission ed", - "Ġpro ceed", - "z z", - "y ers", - "Ġal t", - "ĠDie go", - "ĠN Y", - "Ġsugg est", - "ĠLiber al", - "z en", - "Ġchall eng", - "h r", - "val ue", - "Ġb ought", - "Ġprincip al", - "Ġauthor ity", - "Ġ19 11", - "ra it", - "ig ration", - "Ġn ob", - "Ġro ll", - "l ades", - "Ġf olk", - "ĠF ellow", - "ĠT un", - "Ġcomplet ely", - "Ġneighbor hood", - "Ġachie ved", - "Ġs outheast", - "Ġanim als", - "ĠAll en", - "Ġre ference", - "Ġhold s", - "Ġcust om", - "ĠBelg ium", - "ĠLt d", - "el ve", - "ĠD ream", - "ĠSever al", - "ĠCh all", - "ĠH ockey", - "ĠAb out", - "Ġgl obal", - "pect s", - "ĠC emetery", - "ĠR ace", - "199 9", - "Ġref used", - "d es", - "Ġprote ction", - "bo x", - "ĠV in", - "S e", - "ĠK u", - "ĠPu erto", - "am ing", - "ĠTod ay", - "Ġexhib ition", - "ĠB ry", - "ag er", - "und er", - "o es", - "uc cess", - "Ġappro ved", - "ĠAmerican s", - "Ġattempt ed", - "5 1", - "Ġrap id", - "j o", - "Ġint ers", - "Ġ4 8", - "ĠS in", - "au x", - "ĠV ice", - "Ġcont ain", - "Ġveh icle", - "Ġsett led", - "Ġt ennis", - "Ġsoc cer", - "Ġsy m", - "Ġf ans", - "Ġa ctions", - "ĠP ap", - "Ġcre ating", - "ĠG ib", - "ĠGord on", - "ĠHung arian", - "Ġad vert", - "Ġ4 1", - "ĠDet roit", - "Ġl ake", - "Ġvis ited", - "ĠDougl as", - "6 4", - "Ġdef ined", - "ĠLegisl ative", - "if ically", - "Ġend ing", - "ĠPort ugal", - "ind er", - "Ġnecess ary", - "ĠAnton io", - "Ġcomb at", - "ress ed", - "Ġf air", - "iam i", - "pr ise", - "Ġattack ed", - "I T", - "ĠTer rit", - "c ar", - "rid ges", - "ĠDen mark", - "iv a", - "ag en", - "ĠHer itage", - "ĠP ed", - "ivers ary", - "Ġpil ot", - "S R", - "are n", - "Ġsim ply", - "ac hers", - "Ġrece iving", - "ĠPlay er", - "ĠMississ ippi", - "Ġaud ience", - "b ar", - "Ġ190 8", - "Ġconsist ed", - "Ġcont aining", - "ĠS el", - "t i", - "Ġag ed", - "Ġoper a", - "Ġadv ance", - "ur i", - "Ġres ources", - "Ġst orm", - "Ġfound ing", - "Ġun able", - "um a", - "ĠN ar", - "Ġdirect ors", - "ou red", - "ĠBang lades", - "ĠA D", - "ĠT rib", - "ĠIslam ic", - "Ġmethod s", - "ĠM and", - "Ġrepresent ative", - "ĠO ak", - "secut ive", - "ĠEn vironment", - "Ġexp ansion", - "Ġrepresent ing", - "Ġfl ow", - "ĠA C", - "Ġvol ume", - "Ġcons um", - "g or", - "Ġsubsequ ent", - "Ġd aily", - "Ġinh abit", - "Ġactress es", - "ĠOffic er", - "Ġloc ations", - "Ġproper ties", - "ĠFreder ick", - "ĠSam uel", - "Ġg od", - "Ġf ought", - "0 9", - "Ġattempt s", - "ag an", - "we et", - "ĠN atural", - "ĠB erg", - "Ġro of", - "Ġbro ke", - "Ġra in", - "ĠInd ependent", - "ĠAl an", - "Ġmach ine", - "gh an", - "Ġte le", - "Ġsim ple", - "ist a", - "ĠD al", - "en h", - "ĠF ern", - "Ġtre es", - "ĠS ky", - "ag ues", - "ĠEx press", - "Ġsched uled", - "ris is", - "le ts", - "Ġv ent", - "ĠR ivers", - "Ġfrequ ently", - "Ġresp ond", - "ĠIn formation", - "ĠR ab", - "ĠMus ical", - "Ġsh ared", - "p o", - "Ġb urn", - "ab ad", - "ĠB an", - "Ġretire ment", - "im ents", - "ĠPit ts", - "Ġcandid ates", - "ĠM aur", - "ile y", - "Ġw ear", - "Ġex clus", - "ĠWh it", - "Ġj azz", - "Ġop pon", - "Ġst ock", - "Ġ ;", - "in er", - "ĠR oc", - "P A", - "ĠY our", - "P S", - "5 2", - "ĠCl ark", - "ĠAnd re", - "Ġmem ory", - "5 3", - "os ed", - "Ġpie ce", - "Ġs pect", - "d on", - "Ġconver ted", - "Ġrel atively", - "an ia", - "Ġdr iver", - "Ġsom ething", - "ĠWel sh", - "a ctions", - "Ġstra ight", - "Ġch ampions", - "Ġliter ary", - "Ġpresident ial", - "Ġqual ified", - "Ġeffect ive", - "ĠPh ill", - "ĠJ ordan", - "Ġcop ies", - "Ġdef in", - "Ġg uns", - "5 4", - "ig ation", - "Ġunder st", - "us es", - "Ġm is", - "Ġwin ter", - "stitut ional", - "ĠB ird", - "Ġl it", - "ĠP un", - "ĠU N", - "l ong", - "ĠL I", - "ĠD h", - "ĠK a", - "ĠEx ecutive", - "Ġch urches", - "Ġ3 00", - "ie val", - "Ġm orning", - "Ġdr ive", - "Ġult imately", - "enn y", - "ĠAl ban", - "Ġinc ident", - "ip ients", - "n i", - "op ter", - "ĠB ou", - "ĠDo ctor", - "o en", - "Ġin aug", - "Ġgirl s", - "r um", - "ĠIndones ia", - "Ġfoc used", - "ĠIn ternet", - "Ġapp oint", - "Ġdrop ped", - "ĠA ge", - "Ġpol ic", - "Ġtr ust", - "Ġdom estic", - "Ġres c", - "Ġoccup ied", - "ĠHot el", - "Ġdef ense", - "Ġc overs", - "Ġend s", - "8 4", - "ĠG ard", - "Ġf aced", - "ĠM iami", - "ud i", - "ĠVill age", - "Ġperform ing", - "in burgh", - "ent ed", - "g ment", - "Ġshort ly", - "ĠComp et", - "Ġneg oti", - "ĠL am", - "ĠE ag", - "Ġcateg ory", - "Ġr ang", - "ĠC ricket", - "Ġent itled", - "Ġprof ile", - "ĠBo x", - "od ox", - "ĠSchool s", - "f all", - "Ġalle ged", - "ph as", - "ĠSqu are", - "ĠAdminist ration", - "o a", - "az a", - "l ad", - "Ġrecogn ition", - "ĠC ultural", - "ord ers", - "Ġ4 6", - "Ġcon secutive", - "w ise", - "Ġop posed", - "A M", - "0 4", - "U S", - "Ġre ar", - "ĠD ave", - "Ġa st", - "ĠU C", - "Ġch o", - "Ġse em", - "an es", - "ig e", - "Ġh arm", - "Ġprot est", - "ĠPri or", - "ĠPal est", - "stru cture", - "al ty", - "ĠF und", - "Ġ iron", - "ĠK ey", - "Ġsett ing", - "Ġcons ult", - "Ġtouch down", - "Ġ4 3", - "ĠC all", - "Ġdec or", - "ĠVill ages", - "Ġlearn ing", - "ĠIm perial", - "ĠK er", - "ĠD ak", - "ffic ient", - "og en", - "Ġin ternal", - "ik i", - "Ġident ity", - "ĠD ublin", - "199 8", - "ĠAcadem ic", - "ud get", - "ĠB ureau", - "Ġhe ight", - "Ġs um", - "Ġkill ing", - "Ġinvestig ation", - "or ough", - "ĠP ope", - "ĠF arm", - "p ret", - "Ġmic ro", - "Ġact s", - "Ġperman ent", - "ful ly", - "Ġmax imum", - "Ġ189 0", - "ĠOr th", - "Ġair port", - "aw n", - "ĠL anc", - "o ok", - "7 2", - "Ġpre par", - "ĠBudd h", - "en z", - "Ġgu ard", - "ĠD a", - "l ov", - "Ġb ul", - "d ale", - "Ġcon vers", - "Ġcontribut ed", - "Ġemploy ed", - "st ream", - "B l", - "ĠAthlet ics", - "Ġfield s", - "Ġ4 00", - "Ġhot el", - "ĠM ach", - "ĠPro f", - "Ġappl ication", - "ĠUp on", - "ĠOn ly", - "or ia", - "ĠMo ore", - "sc ape", - "ĠPr iv", - "Ġlett ers", - "m it", - "Ġlaw yer", - "Ġcorn er", - "20 20", - "ĠStud ios", - "ĠL ast", - "ac ent", - "\" ),", - "5 9", - "ĠI S", - "Ġhe ro", - "Ġenvironment al", - "ow nt", - "ay an", - "ĠIn n", - "Ġk il", - "ĠTam il", - "Ġ4 9", - "7 4", - "Ġnorm al", - "Ġland s", - "Ġher self", - "ĠMr s", - "Ġpaint ings", - "Ġoffic es", - "ĠArk ansas", - "ĠD ark", - "Ġinst all", - "ot te", - "g ency", - "ĠF M", - "ail and", - "ĠS ud", - "ĠT ig", - "Ġdeterm ined", - "Ġon to", - "Ġeconom y", - "Ġs ust", - "a ver", - "G en", - "Ġre in", - "ĠD all", - "Ġviol ence", - "Ġs ense", - "ĠRober ts", - "ĠSh ar", - "Ġspe ech", - "ĠC ru", - "ĠMalays ia", - "ĠM em", - "Ġcolle cted", - "Ġtechn ical", - "Ġocc urs", - "Ġestablish ment", - "Ġmult i", - "Ġvir t", - "Ġro t", - "ĠCl in", - "Ġbe gin", - "Ġsy nt", - "ĠD C", - "8 1", - "ĠV enez", - "ĠF riend", - "Ġext ensive", - "ĠC er", - "ĠAn na", - "Ġaltern ative", - "ĠL ang", - "ĠDep uty", - "red ited", - "ĠMatt hew", - "ĠEd inburgh", - "ĠGl obal", - "Ġcomp ris", - "ic ts", - "Ġcomp ar", - "ĠHaw ai", - "ap pe", - "ĠC our", - "ĠE ner", - "ĠL ith", - "199 7", - "le ep", - "ĠB art", - "Ġmer ch", - "ĠL yn", - "ĠCommun ist", - "ĠF em", - "7 9", - "6 1", - "Ġim pr", - "ĠBel gian", - "ĠBow l", - "ĠN el", - "ra c", - "Ġenc oura", - "Ġs ay", - "Ġmerg ed", - "ww w", - "at ab", - "ol o", - "Ġs an", - "p oint", - "ĠD VD", - "Ġdo ctor", - "f e", - "se ud", - "ĠSt ew", - "7 1", - "le ase", - "vel and", - "ĠG arden", - "ĠPlay ers", - "Ġj ur", - "Ġhigh way", - "Ġpower ful", - "Ġsupport ing", - "ĠSing h", - "Ġpoet ry", - "Ġstri ke", - "ĠOr chestra", - "ol y", - "ĠKe vin", - "Ġdyn asty", - "Ġarran g", - "olle y", - "ill ing", - "GB T", - "Ġse ctor", - "iss ance", - "Ġc as", - "ĠFin land", - "Ġen joy", - "d i", - "Ġav oid", - "Ġcent uries", - "Ġst adium", - "ĠG ian", - "ĠC ow", - "Ġgen eration", - "ĠComm ander", - "ĠMay or", - "Ġo x", - "Ġexpress ed", - "Ġf ranch", - "ĠR ow", - "im ore", - "ĠM oon", - "Ġ190 9", - "ĠAlf red", - "Ġgl ass", - "ĠP ra", - "ograph ical", - "Ġf ashion", - "Ġres igned", - "Ġc reat", - "ad ow", - "ĠSc ient", - "ĠT it", - "d ie", - "Ġre ign", - "ĠD ick", - "S p", - "Ġhold ing", - "Ġpartn ership", - "20 21", - "Ġ190 5", - "8 3", - "Ġcontra st", - "Ġpat ients", - "ĠDon ald", - "Ġapp arent", - "Ġmat ter", - "Ġ190 6", - "Ġp and", - "0 3", - "ĠP a", - "ĠJoh ann", - "Ġplann ing", - "Ġa uth", - "Ġbe yond", - "D e", - "Ġr ing", - "ĠH ills", - "Ġdec re", - "Ġm and", - "ren a", - "ac he", - "inc orporated", - "eng ers", - "Ġ3 9", - "oy d", - "Ġsp ok", - "Ġm arg", - "ĠSh ah", - "Ġfin ishing", - "Ġph ase", - "Ġpie ces", - "our ney", - "Ġre asons", - "Ġabandon ed", - "n ote", - "Ġcerem ony", - "Ġen emy", - "ĠPro du", - "Ġf uel", - "Ġs ought", - "r ine", - "ĠG on", - "Ġweap ons", - "ĠHon ours", - "E A", - "ĠQ ual", - "Ġind ependence", - "ry st", - "Ġneed s", - "Ġval ley", - "' '", - "ĠFootball ers", - "ĠAlex and", - "8 2", - "Ġfun ctions", - "az ines", - "Ġvis ual", - "e qu", - "ism s", - "Ġinj ured", - "Ġk ick", - "st ead", - "Ġcast le", - "ĠW he", - "Ġsuccessful ly", - "ĠH unt", - "ĠLaw rence", - "Ġfail ure", - "Ġ190 7", - "Ġjun ior", - "Ġfl u", - "s et", - "ĠAtl anta", - "Ġeduc ational", - "ĠF u", - "Ġw alls", - "ram a", - "ĠR yan", - "f ound", - "Ġbro wn", - "Ġpra ised", - "Ġsec retary", - "ĠTh ailand", - "ic ide", - "ur ation", - "ĠG ri", - "ĠMont real", - "ra f", - "olog ies", - "ĠH ug", - "ist ant", - "ĠMic ro", - "Ġst ating", - "Ġfind s", - "ĠM ale", - "ob e", - "Ġr ival", - "Ġwrit e", - "ist ers", - "ia b", - "ĠWalk er", - "Ġcr iminal", - "Ġs ac", - "ĠT ourn", - "0 2", - "ĠLa ure", - "Ġm ind", - "f r", - "ĠE ven", - "Ġconstitu ency", - "ĠR ub", - "ĠThe n", - "Ġde ploy", - "ĠAl umni", - "ĠUt ah", - "Ġim pl", - "ĠN ob", - "bor ough", - "Ġslight ly", - "rom e", - "ĠL og", - "Ġinhabit ants", - "wh ile", - "cy cl", - "Ġeth nic", - "Ġconne ction", - "ĠMunicip al", - "ĠWh at", - "re ct", - "ap ted", - "Ġinv ited", - "Ġro ugh", - "Ġt ry", - "199 6", - "ĠAg ric", - "199 0", - "ĠL iga", - "Ġregard ing", - "Ġback ing", - "og y", - "alle l", - "Ġw ays", - "ĠE nt", - "Ġinv asion", - "Ġwe alth", - "Ġfund ing", - "Ġprov ision", - "ĠF al", - "Ġs and", - "ĠL GBT", - "f rom", - "Ġref ers", - "I N", - "Ġh ydro", - "ĠK ings", - "Ġprogram me", - "Ġf resh", - "f riend", - "ĠAf ghan", - "act ive", - "ĠRel ig", - "if ul", - "ĠCle veland", - "ĠN av", - "Ġste el", - "on i", - "ĠI ce", - "ĠArgent ine", - "Ġdevelop ing", - "Ġpol y", - "6 3", - "Ġvot ed", - "199 5", - "Ġh yp", - "ul es", - "Ġder ived", - "D P", - "Ġpri est", - "Ġord ers", - "ĠMc K", - "ant asy", - "che ll", - "ĠCh ampion", - "ĠN ep", - "Ġent rance", - "Ġtown ship", - "c ome", - "Ġrelig ion", - "R C", - "Ġad ult", - "Ġh ired", - "ĠL iver", - "I t", - "ĠMP s", - "ĠPitts burgh", - "Ġpublic ations", - "Ġam b", - "ĠP as", - "Ġpass enger", - "Ġtemper ature", - "Ġadv ant", - "ĠH op", - "ĠO w", - "ĠSy m", - "ĠY ug", - "Ġpass ing", - "ĠB oys", - "r un", - "ĠP ur", - "f ather", - "Ġpremier ed", - "ĠRog er", - "fect ure", - "ĠRes erve", - "ĠSt age", - "Ġcall s", - "ĠC hem", - "ĠP rom", - "n ia", - "Ġnucle ar", - "ĠM ission", - "h ard", - "ĠMarg aret", - "and o", - "iam ond", - "ĠMet ropolitan", - "Ġ190 4", - "Ġp owers", - "Ġm el", - "Ġin stru", - "ĠD igital", - "v ements", - "Ġcaus ing", - "ĠW ard", - "ele ction", - "B I", - "or age", - "ĠE qu", - "Ġequ al", - "ĠSerb ian", - "7 3", - "Ġcl in", - "ish ops", - "ĠA M", - "ot ic", - "ĠI ron", - "ours es", - "ĠOtt oman", - "ĠG ene", - "ĠG ran", - "z er", - "Ġres erve", - "ĠRoman ian", - "ĠPet ers", - "Ġgen era", - "Ġinvol ving", - "ĠL l", - "Ġd a", - "Ġd ates", - "ĠB eat", - "6 2", - "ĠY an", - "ĠDis ney", - "ap olis", - "Ġfund s", - "ĠL et", - "Ġbo at", - "Ġem phas", - "ĠRail road", - "Ġc row", - "ĠS ac", - "Ġbas ic", - "ĠHung ary", - "ĠF el", - "Ġg ar", - "Ġesc ape", - "\" ).", - "ĠRoman ia", - "ĠJes us", - "ut ies", - "Ġpass es", - "Ġ *", - "Ġsele ction", - "ĠCom ics", - "Ġdec ades", - "ĠVenez uel", - "ĠR ick", - "us al", - "ĠF ight", - "ĠN AS", - "Ġprote ct", - "ĠM ult", - "ust er", - "Ġfle et", - "Ġconclud ed", - "Ġv o", - "Ġcont ained", - "pos es", - "ĠI mp", - "ter m", - "Ġpand emic", - "Ġv arian", - "Ġinc orporated", - "b urn", - "ĠGirl s", - "Ġy our", - "ĠM es", - "Ġp ed", - "ĠTransport ation", - "Ġ5 2", - "clus ion", - "Ġcompet e", - "Ġb ishop", - "ĠR io", - "Ġcompos ition", - "Ġtra v", - "ĠFinn ish", - "Ġm art", - "ĠS C", - "Ġdo ing", - "ĠBu ff", - "m ers", - "Ġregist ered", - "ĠWh o", - "is f", - "a fter", - "ĠFlor a", - "on omy", - "Ġadv oc", - "m at", - "s ki", - "Ġinflu enced", - "Ġinst alled", - "ĠD ance", - "s ong", - "ang er", - "ĠF all", - "ĠIn vest", - "' m", - "ĠHol lywood", - "ĠMic hel", - "av ed", - "Ġc ru", - "ĠSe attle", - "ĠN eb", - "Ġr ise", - "Ġtransl ation", - "Ġrequ est", - "ĠGr ant", - "Ġsome one", - "oth ing", - "Ġ188 0", - "% .", - "Ġsh ape", - "Ġe mp", - "A P", - "ap es", - "h ing", - "Ġexist ence", - "Ġo vers", - "n ers", - "Ġw arn", - "n et", - "uk i", - "Ġworld wide", - "Ġjoin ing", - "re es", - "Ġl aid", - "ĠR y", - "n ight", - "ĠR ights", - "Ġa id", - "ra cy", - "or f", - "ograph ics", - "Ġobserv ed", - "ĠMet ro", - "II I", - "Ġarg ued", - "Ġform al", - "Ġsc enes", - "W e", - "Ġview s", - "Ġemploy ees", - "ĠN et", - "Ġw atch", - "Ġdet ails", - "z i", - "Ġp ione", - "Ġconsist ing", - "Ġexper ien", - "ĠV eg", - "Ġmain tained", - ") \"", - "ĠP rad", - "re te", - "ĠCam er", - "ĠDef ense", - "Ġhom es", - "ĠT ak", - "hemat ics", - "ĠBalt imore", - "ĠF ive", - "ri k", - "Ġprom ote", - "Ġb odies", - "ĠB ull", - "or ro", - "ĠOb last", - "Ġan th", - "el and", - "Ġeng aged", - "Ġan aly", - "ĠEner gy", - "Ġrecord ings", - "ownt own", - "ret t", - "Ġcar ry", - "Ġ190 3", - "Ġsup erv", - "ĠPubl ishing", - "c ia", - "Ġanim al", - "ĠSe ction", - "L C", - "ĠBru ce", - "Ġdr ivers", - "Ġs oci", - "Ġsol id", - "un ction", - "Ġbir ds", - "ĠMar ie", - "ĠAr n", - "ĠCh amber", - "Ġsc ale", - "Ġstart s", - "Ġanim ated", - "h ar", - "ĠG a", - "ĠS af", - "S c", - "ĠMor gan", - "Ġstat ement", - "Ġcricket ers", - "Ġt or", - "ĠU E", - "Ġacc used", - "ra structure", - "as a", - "Ġband s", - "Ġop in", - "6 9", - "ĠPal ace", - "ĠTh ough", - "Ġcon stant", - "ĠColon el", - "r ations", - "ĠA y", - "idd en", - "Ġheav ily", - "ĠK an", - "ĠF ried", - "ĠR acing", - "Ġsur vey", - "Ġp ull", - "Ġqu ant", - "O R", - "Ġn om", - "Ġ5 1", - "ĠRuss ell", - "bass ador", - "un c", - "emb le", - "ĠWrit ers", - "Ġch air", - "ol t", - "Ġre aching", - "ell i", - "ĠB uck", - "st ar", - "ĠH ere", - "Ġtra ined", - "ov o", - "ang el", - "Ġso le", - "ĠKn ight", - "Ġpl ot", - "ul ate", - "ĠR ot", - "ĠCl ar", - "Ġad vent", - "Ġprote in", - "le te", - "ur day", - "Ġt ropical", - "Ġ5 5", - "ol ph", - "ĠP ear", - "pect ive", - "ĠOper ation", - "Ġspec ifically", - "ect s", - "ĠKel ly", - "Ġfound ation", - "Ġstand ards", - "Ġb atter", - "Ġass ess", - "Ġext rem", - "l on", - "ond er", - "Ġt rying", - "Ġ190 2", - "Ġ190 1", - "Ġarch ae", - "Ġeff ic", - "Ġcom ic", - "od a", - "ival ent", - "ĠSoc cer", - "p ers", - "ĠPe ace", - "Ġaff ected", - "ĠCro wn", - "ĠLe v", - "ĠChrist opher", - "id el", - "Ġb an", - "ch t", - "Ġchem ical", - "Ġis lands", - "Ġun cle", - "ĠF A", - "erb ai", - "Ġag ency", - "ĠD yn", - "h op", - "ather ine", - "ĠEx t", - "Ġimport ance", - "=\" #", - "ĠR est", - "it als", - "Ġbehav ior", - "ĠV ik", - "Ġtw elve", - "Ġvol unte", - "ĠP ad", - "Ġt un", - "Ġcomp ut", - "Ġt end", - "ĠYug oslav", - "arg o", - "ĠBanglades h", - "ĠPrin cess", - "Ġexp ed", - "t hen", - "d o", - "Ġto ward", - "Ġimpro ve", - "it ations", - "ĠP atri", - "Ġs ale", - "Ġm ent", - "ĠAd vent", - "ann ed", - "t op", - "et ies", - "int end", - "Ġhe ard", - "ĠDe an", - "ĠCo le", - "ĠLe ban", - "Ġtransl ated", - "Ġw rest", - "I V", - "ĠBroad cast", - "Ġv ide", - "ĠDe ad", - "Ġreb u", - "ĠPerson nel", - "ĠR and", - "Ġobject s", - "ĠStud io", - "or us", - "ine a", - "Ġh air", - "ĠMed icine", - "ĠP y", - "ash i", - "ĠMunicip ality", - "Ġs ession", - "ĠStew art", - "199 4", - "ĠYear s", - "ir t", - "ĠR an", - "Ġintro duction", - "aught ers", - "Ġre ality", - "Ġshe ll", - "Ġreg iment", - "Ġeng ines", - "ĠE ver", - "ĠFI FA", - "Ġneg ative", - "Ġl at", - "Ġse venth", - "Ġrece ption", - "ĠGl as", - "Ġpaint ers", - "ĠM aj", - "us cript", - "go ing", - "Ġde leg", - "ĠC are", - "Ġdep uty", - "ĠVi enna", - "own ed", - "Ġres istance", - "ann y", - "Ġw eather", - "Ġstr ateg", - "Ġsecond s", - "Ġcollabor ation", - "ĠCE O", - "ud a", - "ĠK on", - "Ġlic ens", - "Ġth row", - "Ġa head", - "es c", - "ĠHamp shire", - "bo ards", - "Ġar med", - "com ing", - "Ġn ick", - "Ġ4 7", - "b r", - "Ġ ille", - "Ġ {", - "ĠS ign", - "ĠMar ket", - "Ġdescrib es", - "Ġposs ess", - "ĠO ri", - "Ġad apted", - "ĠTourn ament", - "ĠL en", - "wh ite", - "Ġrul ed", - "ĠL ib", - "ĠB ed", - "ĠAss oci", - "ĠNe v", - "ĠTr ade", - "g ow", - "Ġproduc ing", - "os m", - "Ġext ension", - "est yle", - "Ġm ole", - "Ġaccom pan", - "ĠLith uan", - "ĠAng l", - "umb ent", - "Ġdist inct", - "ĠT rad", - "Ġz one", - "Ġbrief ly", - "D A", - "uss ion", - "ĠMe an", - "us hed", - "Ġd ivers", - "Ġp rice", - "Ġprov ed", - "Ġfact ory", - "ĠNel son", - "am ic", - "Ġ ri", - "ĠP sych", - "ĠG ill", - "le vel", - "Ġcall ing", - "C l", - "am an", - "ĠAz erbai", - "ĠE ston", - "ĠH orn", - "Ġdivision s", - "em en", - "Ġ ere", - "Ġentire ly", - "Ġpri ze", - "Ġste am", - "ĠPh ot", - "ĠO ur", - "Ġmar ine", - "ĠA T", - "ĠCamp bell", - "Ġcompos ers", - "Ġrev olution", - "ĠDall as", - "ĠLiver pool", - "Ġex erc", - "ink ing", - "Ġim ages", - "Ġle ct", - "M ar", - "ĠMain e", - "ĠSup port", - "Ġg ain", - "Ġclos ely", - "Ġup d", - "ĠConserv ative", - "aval ry", - "olley ball", - "ĠCh airman", - "in cluding", - "ĠOn ce", - "in ian", - "ĠAthlet ic", - "Ġschol ars", - "b al", - "Ġres idence", - "ect ive", - "Ġagric ultural", - "ĠA rena", - "ĠEconom ic", - "ĠH end", - "ming ham", - "ĠD od", - "ĠThom pson", - "ĠCarl os", - "ell ite", - "am s", - "Ġr ating", - "Ġch ose", - "duc ing", - "199 3", - "ĠAust in", - "ĠSar ah", - "ĠD ra", - "Ġnorth west", - "ĠK ra", - "ic it", - "Ġcaus es", - "Ġappl ications", - "ĠJim my", - "ah n", - "Ġdist in", - "Ġed ited", - "Ġinter ior", - "as ka", - "ov ation", - "ĠE very", - "Ġp ages", - "d y", - "Ġcontribut ions", - "Ġide as", - "Ġac id", - "ĠEp is", - "ĠNor man", - "ab y", - "ĠC hen", - "ĠF ood", - "Ġsur g", - "ĠM ethod", - "ĠAll iance", - "Ġsh all", - "th m", - "ina e", - "ĠW right", - "Ġm ilit", - "Ġdoc uments", - "ĠCom ple", - "ĠH ell", - "un ch", - "Ġcolon ial", - "Ġre duce", - "il er", - "Ġloc ality", - "Ġent ertain", - "Ġsymb ol", - "Ġin form", - "Ġcop y", - "Ġpass engers", - "ĠOrth odox", - "Ġdo or", - "f inal", - "ĠKenn edy", - "Ġfl at", - "Ġlead s", - "ĠUE FA", - "Ġproduc ers", - "ĠR ain", - "ĠPl at", - "Ġed ge", - "Ġdis miss", - "ĠAg ency", - "Ġp up", - "Ġopportun ity", - "in ch", - "ate gy", - "20 22", - "Ġathlet es", - "Ġ189 8", - "Ġch oice", - "Ġem ot", - "Ġg arden", - "inn er", - "Ġrail road", - "Ġbelie ve", - "Ġcharg es", - "Ġ5 4", - "aut iful", - "Ġgradu ate", - "og ether", - "199 2", - "Ġc rown", - "ins ula", - "Ġroad s", - "Ġstreng th", - "ent ially", - "ĠR ud", - "ĠBe ck", - "ĠO m", - "ĠN ord", - "ir i", - "Ġregard ed", - "Ġtechn iques", - "Ġw itness", - "Ġposs ibly", - "ĠOper a", - "p erson", - "ĠE mer", - "ĠAdam s", - "ĠL ower", - "ph a", - "Ġcomp ilation", - "ĠBrook lyn", - "ult an", - "W est", - "ĠB omb", - "Ġdebut ed", - "Ġpro ced", - "Ġinter ests", - "rane an", - "ĠSen ator", - "Ġon es", - "ĠK it", - "am o", - "uc ks", - "v ia", - "ĠFrank lin", - "Ġg etting", - "Ġres ign", - "ĠAp p", - "ar us", - "ĠBern ard", - "Ġimpro ved", - "Ġre ally", - "ĠB illy", - "ĠG ulf", - "ĠD ub", - "ĠN ash", - "Ġm ist", - "ph ony", - "at ures", - "ĠDem ographics", - "Ġcomm itted", - "ĠSerb ia", - "et ime", - "h aps", - "Ġa er", - "Ġoper ate", - "Ġdist ributed", - "Ġf lying", - "Ġan cest", - "ĠCo oper", - "ĠVol ume", - "aw are", - "ĠPort land", - "ob a", - "or ial", - "ter ed", - "Ġref uge", - "ĠRob inson", - "ĠTr ump", - "ĠDak ota", - "ĠCat al", - "ĠCon stitution", - "Ġadj acent", - "el er", - "ĠN am", - "Ġparticip ate", - "a ire", - "Ġf ine", - "ĠLI NE", - "ĠBir mingham", - "Ġc ore", - "le e", - "Ġsing ing", - "ĠP ir", - "ĠH om", - "Ġa x", - "Ġint elligence", - "ĠStan ley", - "are st", - "ĠBrother s", - "ĠI van", - "in ate", - "p en", - "Ġfav our", - "ĠW restling", - "p ir", - "Ġcon vent", - "Ġus ers", - "Ġw aters", - "Ġen l", - "Ġ15 0", - "Ġ189 9", - "Ġval ues", - "Ġcont rolled", - "ug ar", - "Ġs am", - "Ġdam aged", - "ĠL ud", - "Ġground s", - "oc racy", - "Ġcle an", - "Ġob tain", - "y pe", - "ĠUp per", - "Ġqu ite", - "u ct", - "Ġh am", - "ish ment", - "ĠTra ining", - "ĠMot or", - "b ach", - "Ġb rig", - "ĠMur ray", - "Ġ187 0", - "fer red", - "ĠV ari", - "ĠW ol", - "Ġsurv ived", - "Ġdemon st", - "ĠCon struction", - "writ ers", - "ic ate", - "ĠW a", - "Ġan s", - "ĠV erm", - "Ġpro s", - "ĠRe port", - "Ġclass ification", - "ĠTe le", - "ĠSoc orro", - "ĠB ush", - "gr ade", - "Ġse ctions", - "Ġfranch ise", - "ĠCh ang", - "Ġphot ograph", - "ĠMarsh all", - "ĠLINE AR", - "Ġrepe ated", - "Ġsub stant", - "ĠGra ham", - "Ġcomb ination", - "Ġit ems", - "Ġf ly", - "Ġmeas ures", - "Ġdra wn", - "et a", - "Ġb udget", - "Ġdef ensive", - "ish ments", - "ĠB ud", - "Ġbro ken", - "Ġcon sequ", - "aly mp", - "att an", - "ĠColle ction", - "ĠA BC", - "omm od", - "i op", - "ĠD oc", - "Ġelect ronic", - "Ġbel ief", - "Ġdefe ating", - "Ġpre m", - "ok a", - "s ch", - "h u", - "Ġann iversary", - "ĠYou T", - "Ġunivers ities", - "Ġshoot ing", - "ĠG ary", - "ors es", - "Ġbene f", - "ĠSat urday", - "Ġex act", - "l ie", - "ĠJ azz", - "Ġphil osophy", - "ĠA qu", - "Ġtrans ition", - "ĠMad rid", - "ill o", - "Ġdesign s", - "t ic", - "ĠS yn", - "Ġimpr ison", - "ĠM ort", - "ĠCar ter", - "ĠCh and", - "Ġt ank", - "Ġjust ice", - "Ġstand ing", - "Ġearl iest", - "Ġgr ade", - "Ġsign al", - "ĠR u", - "ĠTax a", - "ĠPier re", - "d in", - "Ġh our", - "ĠIn s", - "ĠSec ret", - "Ġgood s", - "ĠPre fecture", - "Ġw orth", - "ĠS i", - "Ġmom ent", - "I s", - "om ing", - "Ġown ers", - "Ġl ists", - "Ġm ort", - "Ġcapt ure", - "Ġfe ed", - "ĠIran ian", - "Ġjud ges", - "el ess", - "Ġmed icine", - "Ġre jected", - "Ġcritic ized", - "Ġd ry", - "c ious", - "ĠV ic", - "ĠCar ib", - "ĠV ers", - "r m", - "ĠC ass", - "Ġfinal s", - "d ers", - "ĠL ane", - "apt ist", - "b ishop", - "ĠArt ists", - "Ġtri p", - "N e", - "atab ase", - "ĠR ap", - "Ġprov incial", - "Ġhum ans", - "ĠP C", - "Ġhtt p", - "Ġcharg ed", - "Ġ6 3", - "Ġneigh bour", - "Ġact ual", - "Ġdeliver ed", - "ĠI v", - "ak ed", - "r ons", - "Ġch ain", - "or er", - "het ic", - "H e", - "Ġactiv ist", - "b ridge", - "ut ation", - "Ġd ie", - "ĠY orks", - "Ġpur poses", - "E E", - "Ġbott om", - "Ġ( ).", - "Ġrele g", - "ĠDef ence", - "G A", - "Ġpar allel", - "M an", - "w all", - "Ġpre mi", - "Ġgr ant", - "Ġ189 6", - "Ġinter pret", - "Ġcan cell", - "Ġter ror", - "ĠAg ain", - "oc a", - "Gen eral", - "Ġsk ills", - "Ġshow ing", - "ĠD aily", - "P C", - "Ġst ores", - "Ġreg ularly", - "ĠTh us", - "Ġv eter", - "c oh", - "b at", - "p at", - "ĠLe ad", - "abl ed", - "i ac", - "ĠMov ement", - "Ġs ell", - "ĠPar alymp", - "ĠJohn ny", - "hib ition", - "Ġprison ers", - "Ġmed ium", - "ant ly", - "ce ived", - "ĠA ld", - "if er", - "ot es", - "Ġg ets", - "be an", - "Ġse ems", - "Ġis ol", - "ĠS ax", - "ĠJ ason", - "Ġqual ifying", - "et on", - "T S", - "ĠCat hedral", - "ĠT ot", - "Ġven ues", - "t own", - "Ġc ourses", - "Ġgreat est", - "ol ar", - "ĠG or", - "Ġoppos ite", - "Ġro utes", - "ĠN ad", - "Ġn aval", - "Ġbusiness es", - "ĠCy cl", - "ĠW ing", - "Ġpubl ishing", - "Ġdesign er", - "ĠMedal ists", - "F M", - "Ġ189 7", - "Ġvict ims", - "ĠBen j", - "it able", - "ol ly", - "ĠGu y", - "ĠSt ra", - "Ġpurch ase", - "Ġhabit at", - "Ġsouth west", - "Ġa ware", - "Ġsub urb", - "ĠW oman", - "h t", - "ĠNaz i", - "Ġlegisl ation", - "ĠOrgan ization", - "al ia", - "w right", - "iel der", - "ĠLank a", - "Ġtri es", - "over ty", - "iter ranean", - "Ġ189 5", - "199 1", - "l s", - "Ġstri p", - "Ġpers ons", - "I nd", - "ĠEgypt ian", - "ĠAddition ally", - "Ġfact ors", - "ĠYorks hire", - "Ġresident ial", - "ou ver", - "Ġe gg", - "Ġjournal ists", - "E S", - "Ġ5 6", - "le ased", - "ast ery", - "ĠN BA", - "Ġin sc", - "op eration", - "Ġd ies", - "ĠH ig", - "Ġfre edom", - "Ġb oys", - "Ġmet ers", - "Ġm ile", - "Ġh its", - "Ġstand s", - "ĠAp pe", - "Ġg ender", - "d r", - "Ġscient ists", - "P ro", - "y ll", - "Ġmin ute", - "mer ce", - "ĠA R", - "Ġw ounded", - "x ual", - "Ġbusiness man", - "Ġhe at", - "Ġadm itted", - "r ong", - "Ġr ivers", - "Ġt ack", - "Ġadvant age", - "ĠT ob", - "ace ae", - "ol ia", - "Ġ5 3", - "Ġexam ples", - "ĠBe g", - "ĠM ack", - "Ġatt ached", - "ĠNiger ia", - "Ġarran ged", - "t ure", - "Ġkn ock", - "am ents", - "ĠR ico", - "le ans", - "ĠWind ows", - "Ġt ur", - "ĠAuthor ity", - "Ġdr iving", - "Ġm emorial", - "Ġh ill", - "ĠK um", - "Ġc risis", - "Ġal leg", - "h ai", - "ĠCap ital", - "Ġdev ice", - "Ġmot ion", - "ĠCo ok", - "Ġcy cle", - "' re", - "ĠSer ge", - "res ents", - "ĠWeb site", - "ip h", - "Ġdesc ription", - "ĠLiter ature", - "ĠTro phy", - "ĠF ull", - "Ġcost s", - "ĠI an", - "ĠGh ana", - "f iction", - "Ġcommun ication", - "Ġacc ommod", - "Ġst ages", - "um in", - "N C", - "Ġstre ets", - "Ġsy nd", - "ĠM oths", - "ĠGu ide", - "Ġs ave", - "Ġwh y", - "ĠEv ans", - "ĠPar ish", - "Ġeas ily", - "Ġro b", - "or ce", - "O C", - "Ġsequ ence", - "Ġcred ited", - "v ant", - "end ment", - "ĠGr ay", - "ĠH as", - "Ġs uff", - "Ġcl imb", - "Ġd uty", - "ĠGr ade", - "as ure", - "Ġsub mar", - "Ġdec ade", - "l ow", - "Ġm ine", - "Ġr ich", - "Ġrest rict", - "Ġdeterm ine", - "Ġfa ith", - "as i", - "198 0", - "se a", - "Ġstar red", - "Ġro oms", - "ĠDer by", - "ĠS r", - "Ġcomm une", - "M P", - "- -", - "ĠElect ric", - "Ġk id", - "Ġcour ts", - "ĠEle mentary", - "Ġprote cted", - "ĠNot e", - "Ġg ang", - "Ġtyp ical", - "ia h", - "ĠH um", - "Ġmembers hip", - "ot hes", - "Ġren ew", - "ĠRich mond", - "Ġf er", - "Ġpain ted", - "a uty", - "Ġdem and", - "Ġcom ed", - "ĠGlas gow", - "ay ed", - "rap y", - "Ġs ki", - "ĠOr leans", - "Ġmy th", - "ĠU g", - "Ġass umed", - "Ġret ained", - "Ġa f", - "ĠCon vention", - "ĠMed iterranean", - "e enth", - "Ġb ond", - "Ġrun ner", - "ie ce", - "Ġh unt", - "Ġcirc um", - "b ul", - "Ġre action", - "Ġassist ance", - "Ġthe ater", - "ĠPrim ary", - "Ġoper ates", - "pro fit", - "Ġrest ored", - "ĠJ ama", - "ĠE ug", - "r ant", - "Ġaccompan ied", - "Ġnick n", - "ĠL ad", - "m und", - "Ġmin ing", - "Ġinvest ment", - "ĠF oot", - "Ġp ool", - "oh n", - "ĠJud ge", - "ĠMil an", - "Ġoff ensive", - "ch o", - "Ġte en", - "Ġf an", - "ĠM ond", - "ĠS S", - "ĠM ap", - "op al", - "ĠBor ough", - "Ġc ited", - "ĠUr ban", - "ĠBar ry", - "ĠCrit ical", - "ĠT u", - "Ġfl o", - "ann els", - "Ġvide os", - "Y ou", - "s er", - "ĠPublic ations", - "m ith", - "ĠConf eder", - "c ussion", - "ĠDisc ography", - "ĠFle et", - "ĠChall enge", - "ĠHind u", - "ĠSpec ies", - "ĠF ather", - "ĠC her", - "il st", - "198 9", - "Ġcon text", - "a ired", - "Ġ5 7", - "ĠMu ham", - "ter y", - "Ġp ian", - "Ġrep resents", - "Ġse ed", - "Ġut il", - "ĠTig ers", - "ĠP av", - "c op", - "Ġf est", - "ĠSal v", - "ĠWay ne", - "Ġb rain", - "Ġnot ably", - "Ġexecut ed", - "Ġhead ed", - "ĠBroad way", - "Ġf ra", - "Ġd oll", - "R S", - "ĠW W", - "ĠK ath", - "ran g", - "ick et", - "ĠThe ater", - "ĠFran ces", - "C D", - "cycl op", - "Ġexperien ced", - "Ġc ous", - "on ian", - "Ġret ail", - "ac c", - "Ġnewsp apers", - "Ġadv is", - "Ġb ed", - "d oor", - "Ġf ired", - "ĠAnd y", - "Ġst ood", - "ĠM i", - "iv ated", - "ĠAct ress", - "Ġ189 3", - "ĠPict ures", - "Ġchall enge", - "Ġman uscript", - "Ġpolic ies", - "Ġpr ime", - "Ġgr ass", - "Ġ6 2", - "Ġs ed", - "is hers", - "ĠH old", - "ĠSele cted", - "Ġcolle ctions", - "Ġd ating", - "re c", - "Ġ186 0", - "ĠPrad esh", - "Ġc aught", - "ak u", - "Ġreturn s", - "or row", - "Ġsepar ated", - "o i", - "Ġlook ing", - "edd ing", - "ĠF ace", - "Ġcar rying", - "Ġin fl", - "Ġj ump", - "th a", - "ĠV as", - "Ġher itage", - "Ġdou b", - "Ġcon qu", - "i ation", - "ĠB aker", - "Ġra cial", - "I P", - "k ov", - "c ular", - "in ter", - "Ġs elling", - "ĠPolit ics", - "Ġt ail", - "Ġform ally", - "g ie", - "ĠPh oen", - "Ġconcern s", - "ĠR ena", - "Ġb ran", - "Ġr hy", - "ĠWar ren", - "ĠCent ury", - "ĠN ever", - "Ġuns uccess", - "ows ki", - "Ġw ings", - "ot an", - "ĠF rid", - "ĠH it", - "Ġstop ped", - "Ġass ault", - "P h", - "ĠYouT ube", - "ĠP il", - "Ġele ctoral", - "ĠFl ore", - "ĠV el", - "ĠBl ues", - "ĠM ong", - "uk a", - "ĠPer u", - "ac on", - "Ġ189 4", - "c hers", - "Ġ188 9", - "ĠB rist", - "ĠL ov", - "Ġkil omet", - "ĠD J", - "ĠGab ri", - "ĠN at", - "ĠSe ven", - "ra ge", - "Ġde st", - "Ġn or", - "ĠMit chell", - "R e", - "ĠCharl ie", - "ĠJ osh", - "ul u", - "Ġf iled", - "ec ution", - "ĠF act", - "ĠDel hi", - "ie ge", - "ĠBenj amin", - "Ġrestaur ant", - "y les", - "att ers", - "Ġd uties", - "ras ka", - "Ġast ron", - "ĠRang ers", - "Ġcar bon", - "ro c", - "Ġ189 2", - "Ġe ye", - "ĠA er", - "ind ing", - "Ġun iform", - "ĠM other", - "ĠMon te", - "Ġv aria", - "Ġatt ract", - "ĠSlov ak", - "Ġinstr uments", - "Ġt all", - "Ġmag azines", - "lo ad", - "amp s", - "Ġend emic", - "op les", - "is d", - "ĠA S", - "ĠR al", - "ĠLim ited", - "it ime", - "ĠR av", - "ĠC art", - "Ġsom ew", - "Ġsignificant ly", - "ĠL anguage", - "Ġin her", - "ĠM ans", - "ĠG un", - "ok ed", - "ĠC ase", - "ĠMan h", - "ĠPol y", - "ten ance", - "anc ouver", - "Ġshe l", - "j ab", - "Ġguitar ist", - "Ġcoast al", - "Ġadapt ation", - "Ġlin k", - "Ġnot hing", - "Ġcolle ges", - "Ġsever e", - "ĠB und", - "ĠB enn", - "Ġarr ival", - "ĠQu arter", - "ĠM all", - "ĠN orm", - "ĠComp anies", - "ĠM ess", - "Ġdemon str", - "orn e", - "Ġth ick", - "m aster", - "Ġpre ced", - "Ġcritic ism", - "Ġleg end", - "ĠR ic", - "ĠHawai i", - "Ġtest ing", - "p age", - "Ġdeg rees", - "ĠNov a", - "ĠNev ada", - "ĠGu inea", - "ĠColomb ia", - "Ġown ership", - "Ġwind ows", - "ĠTown s", - "forman ce", - "ar an", - "aw ay", - "Ġb at", - "ĠNep al", - "Ġexpress ion", - "H S", - "igg est", - "Ġequ ivalent", - "Ġrom antic", - "Ġb rick", - "Ġrespons ibility", - "Ġbring ing", - "or iginal", - "Ġob l", - "eg et", - "Ġin stitution", - "Ġexpl os", - "ĠN ation", - "ut ions", - "Ġ1 20", - "Ġcol our", - "ĠB urg", - "ĠCon n", - "Ġus er", - "ĠVo iv", - "le ton", - "h ab", - "ĠZ e", - "ĠAnd r", - "as hed", - "Ġmed als", - "ok er", - "ĠAlbert a", - "ĠNeb raska", - "Ġchampionship s", - "ĠM ak", - "Ġinc orpor", - "ĠB achelor", - "Ġorgan isation", - "Ġpo ets", - "id ency", - "Ġd aughters", - "Ġdep end", - "l ock", - "ĠWar ner", - "Ġpract ices", - "Ġfl ower", - "c ount", - "gress ive", - "usal em", - "N o", - "Ġlearn ed", - "ph an", - "Ġpo em", - "Ġfl owers", - "Ġsuccess or", - "he me", - "Ġco ordin", - "Ġother wise", - "ĠBarb ara", - "ĠSc hed", - "Ġmunicipal ities", - "ĠV lad", - "Ġ188 5", - "is ations", - "Ġvess els", - "Ġst orage", - "Ġsugg ests", - "ĠStand ard", - "ĠBuff alo", - "Ġin du", - "ĠPhilipp ine", - "ĠG rad", - "Ġfilm ed", - "ĠWeek ly", - "Ġunder standing", - "ph one", - "ship s", - "wh o", - "ast rop", - "ĠAl t", - "Ġreplace ment", - "ĠJ enn", - "Ġ189 1", - "bre ak", - "ĠCarib bean", - "ĠMin or", - "ĠHun ter", - "Ġh ur", - "o om", - "Ġwind ow", - "Ġcol span", - "odes hip", - "ĠT ower", - "Ġfact or", - "Ġch ance", - "ater n", - "ĠY e", - "i ya", - "p ower", - "Ġp hen", - "arm a", - "Ġw ave", - "ĠSpe ed", - "Ġlin ked", - "Ġcrow d", - "O N", - "il k", - "ĠF itz", - "ĠMuham mad", - "ĠU nt", - "Ġacc ur", - "Ġturn s", - "st ances", - "Ġmed ieval", - "Ġcross ing", - "ĠAl aska", - "ĠJon athan", - "le m", - "Ġprep ared", - "x ts", - "Ġclass ified", - "Ġrece pt", - "Ġdis appe", - "Ġcover age", - "D S", - "ĠP ant", - "ĠW ang", - "u y", - "Ġdif ference", - "Ġdi agn", - "ĠF ine", - "Ġpeak ed", - "M E", - "Ġhost s", - "elle ct", - "en ia", - "Ġcomm emor", - "st ad", - "Ġnomin ation", - "Ġsound track", - "Ġinter ested", - "Ġb anks", - "og le", - "n ik", - "ĠGre ater", - "Ġf rag", - "ĠJ ess", - "Ġ7 6", - "Ġauth ors", - "Ġoccup ation", - "ĠRe lease", - "Ġrec ip", - "rupt ion", - "ĠSt ars", - "ĠV ancouver", - "Ġt ied", - "Ġmon ument", - "ĠVictor ian", - "ĠCharl otte", - "av an", - "Ġdev ices", - "Ġm outh", - "ch ang", - "Ġdid n", - "ĠTechn ical", - "198 8", - "Ġartist ic", - "f are", - "ĠAp ple", - "ĠK os", - "ĠP A", - "Ġv eget", - "Ġf ictional", - "ĠL ate", - "Ġweek ly", - "ĠBeng al", - "ien cy", - "ĠProt est", - "ĠS aints", - "ĠUn it", - "ĠCon stant", - "ĠT ang", - "ĠRec ipients", - "ĠAm az", - "Ġinv ent", - "Ġthe ore", - "ĠA P", - "Ġcover ing", - "Ġens ure", - "Ġd anc", - "Ġm obile", - "ĠS um", - "Ġrec ru", - "Ġte achers", - "Ġland ing", - "Ġdesc end", - "Ġun us", - "Ġsubject s", - "ĠBl ood", - "ĠT ag", - "ĠH ud", - "ark ed", - "Ġ| }", - "ict ions", - "ant ine", - "Ġag encies", - "ĠAss istant", - "Ġfl ows", - "Ġparliament ary", - "Ġb iggest", - "anc ell", - "Ġchild hood", - "Ġ6 1", - "Ġass ass", - "ĠVoiv odeship", - "ĠAl ger", - "en burg", - "ar on", - "Ġas pects", - "ens es", - "ĠL uther", - "ĠHe b", - "ri x", - "ĠNich olas", - "ĠClass ic", - "Ġ ign", - "ĠDef unct", - "ĠChart s", - "ĠL ore", - "ot ype", - "ĠAl ice", - "ĠSt re", - "ĠOn line", - "198 7", - "Ġart illery", - "ik o", - "A m", - "Ġs un", - "ĠP le", - "Ġc old", - "ĠFil ip", - "ourn als", - "Ġp od", - "ric ane", - "Ġexper t", - "er ia", - "Ġde pos", - "Ġstr uck", - "ĠC hel", - "Ġsquad ron", - "m osp", - "iv ia", - "Ġmanufact uring", - "ĠInd ians", - "ĠF ab", - "ĠSte el", - "ĠP ast", - "ĠEx per", - "Ġcount ies", - "ĠUl t", - "Ġpopular ity", - "ou stic", - "an im", - "Ġ188 8", - "Ġminist ers", - "ĠGri ff", - "g ov", - "Ġstay ed", - "Ġv ary", - "ĠDist ribution", - "ĠBrist ol", - "ess ions", - "oc ol", - "Ġc up", - "iv an", - "ĠLu is", - "ĠS umm", - "Ġhistor ians", - "ĠO range", - "Ġelim inated", - "Ġforest s", - "Ġs ort", - "force ment", - "Ġass embly", - "E ng", - "ĠF ish", - "Ġd og", - "f olk", - "f ers", - "id ad", - "ĠFac ulty", - "j u", - "Ġappro pri", - "ounc ill", - "ĠC ode", - "ĠS id", - "ĠAfghan istan", - "Ġclass ic", - "ur u", - "ĠP in", - "Ġro se", - "Ġp apers", - "old s", - "Ġre ferences", - "ue z", - "ĠSt orm", - "Ġdisestabl ished", - "Ġgen e", - "sh aped", - "Ġaccom pl", - "in ations", - "ĠJer usalem", - "Ġeven ing", - "Ġlocomot ives", - "Ġd ated", - "Ġele ment", - "ĠPark er", - "ĠMor oc", - "ĠD NA", - "il ia", - "Ġhead s", - "Ġpict ure", - "ĠT ol", - "ĠAp pl", - "Ġsc heme", - "ĠC inc", - "h us", - "Ġm anga", - "oth y", - "og a", - "M C", - "Ġd im", - "b el", - "Ġch annels", - "Ġinf rastructure", - "ĠAdm iral", - "ĠM ind", - "Ġ5 8", - "ĠSm all", - "Ġl es", - "Ġche ck", - "Ġf ram", - "Ġrequire ments", - "Ġgradu ating", - "Ġ id", - "Ġf alls", - "ĠS R", - "Ġor chestra", - "Ġappoint ment", - "ĠMean while", - "ĠK ap", - "h and", - "ĠU nd", - "Ġ vert", - "ĠSa udi", - "ĠM aced", - "Ġt ie", - "st ory", - "ĠN i", - "Ġsynt hes", - "ann er", - "ush ing", - "Ġag greg", - "Ġaff airs", - "Ġpen alty", - "Ġprocess es", - "Ġwithd raw", - "Ġwhe el", - "ĠS ide", - "ĠSo ft", - "ĠOl iver", - "ĠCont emporary", - "ra ce", - "ov en", - "ĠE sp", - "Ġcondu ct", - "Ġsign ing", - "Ġn ations", - "Ġb it", - "app ing", - "ĠR AF", - "Ġ188 7", - "Ġf ixed", - "ĠA round", - "ĠKn ights", - "ĠIn it", - "ĠE vent", - "m m", - "Ġ186 5", - "Ġsent enced", - "Ġround s", - "Ġl ieutenant", - "Ġt ask", - "Ġdif ferences", - "Ġaud io", - "Ġconv icted", - "Ġs now", - "Ġre nt", - "kn ow", - "ĠA ction", - "Ġp overty", - "c ons", - "Ġr ates", - "ĠKn ow", - "ĠCl are", - "ur ers", - "Ġcomm it", - "ĠPr incip", - "Ġnomin ations", - "Ġr u", - "Ġthous ands", - "Ġst ret", - "ĠAnt i", - "Ġrepl acing", - "ĠK un", - "c ard", - "ĠSh a", - "rib ed", - "is ition", - "ĠB ron", - "Ġopin ion", - "ĠManh attan", - "Ġappear ing", - "Ġexped ition", - "Ġl iqu", - "ĠN ature", - "Ġpl ane", - "ĠS oul", - "Ġchap ter", - "claim ed", - "Ġquest ions", - "i ary", - "ĠS ultan", - "198 6", - "ij ing", - "w ig", - "ĠHis pan", - "ĠArt illery", - "Ġmov ements", - "ĠB ert", - "Ġenc ounter", - "cast le", - "Ġev olution", - "Ġextrem ely", - "Ġj ourney", - "Ġm ental", - "ĠTr inity", - "ĠFre edom", - "ĠH em", - "Ġsur re", - "Ġso il", - "Ġm ac", - "i ors", - "f ish", - "ar is", - "Ġlim it", - "b oy", - "Ġmon arch", - "Ġportray ed", - "Ġind igenous", - "ĠY am", - "Ġrel ative", - "p ent", - "u is", - "Ġadd ing", - "Ġemer gency", - "ĠCroat ian", - "ĠP age", - "ĠMod el", - "ĠDi ocese", - "ele cted", - "Ġl ov", - "f eld", - "Ġindic ate", - "ĠCont rol", - "Ġs ax", - "Ġtem porary", - "press ion", - "ĠTra il", - "Ġwood en", - "Ġnot e", - "ĠIs a", - "al is", - "ĠPl ant", - "le ment", - "Ġpl ate", - "in os", - "Ġwe ak", - "ach t", - "ĠKir k", - "Ġcap able", - "ĠBar cel", - "Ġstr ategy", - "in ces", - "198 5", - "ĠF alls", - "Ġme ets", - "Ġterrit ories", - "ĠSh ang", - "kee per", - "Ġ186 4", - "Ġtechn ique", - "ĠEduc ational", - "ĠMar s", - "Ġsu icide", - "Ġphot ography", - "Ġoffer ing", - "ĠY u", - "ĠAd ela", - "Ġw or", - "Ġ188 6", - "ĠF eat", - "ĠHarris on", - "b ut", - "ĠPo et", - "ĠB ranch", - "oph one", - "Ġh ip", - "ist ani", - "Ġsubs idi", - "Ġdef ence", - "ĠK o", - "Ġag o", - "us c", - "ĠP ay", - "ĠTerrit ory", - "Ġam ateur", - "Ġmount ains", - "he red", - "m aker", - "uss ian", - "ĠRe f", - "Ġvol umes", - "Ġloss es", - "Ġking dom", - "Ġel der", - "Ġsusp ended", - "Ġv ision", - "ĠSh ip", - "ĠCh ron", - "ĠD raw", - "er k", - "ĠM L", - "ĠZ one", - "h ost", - "Ġactiv ists", - "Ġhor ror", - "ĠSocial ist", - "ro v", - "im ir", - "Ġrough ly", - "Ġo ption", - "ĠArmen ian", - "ĠEle ction", - "Ġl ap", - "E D", - "c are", - "ĠL ost", - "Ġc ards", - "ĠCost a", - "m ate", - "ĠColl ins", - "ĠGl en", - "Ġpo ems", - "cel and", - "Ġassoci ate", - "ĠT ib", - "ĠC BS", - "Ġbound ary", - "en berg", - "st ery", - "St ar", - "ĠL ag", - "Ġal coh", - "Ġcompet ing", - "ir ation", - "Ġpropos al", - "Ġden ied", - "ĠL is", - "ge on", - "Ġe yes", - "Ġrel ief", - "ĠPriv ate", - "ĠEd ition", - "Ġ186 1", - "ĠPhoen ix", - "ĠT as", - "inn ati", - "ĠVin cent", - "ĠF isher", - "ab a", - "197 0", - "udd en", - "aj a", - "ra ck", - "ĠS outheast", - "198 4", - "Ġc atch", - "ĠTurn er", - "ĠR ank", - "u art", - "Ġ6 6", - "ĠGian ts", - "ew ork", - "ag g", - "Ġappe al", - "ĠC A", - "uck land", - "Ġcompon ents", - "ĠB aptist", - "ist ical", - "Ġrec re", - "ĠE U", - "ĠFilm ography", - "ĠCub a", - "ic on", - "ĠC ities", - "ĠUnivers al", - "Ġev al", - "ĠEs s", - "Ġfind ing", - "Ġ18 50", - "Ġ186 3", - "ĠB ible", - "ĠM A", - "ud es", - "ĠC ond", - "ac re", - "Ġcred it", - "ĠAzerbai jan", - "Ġim ag", - "ĠArchite cture", - "Ġf oss", - "Ġh ang", - "ĠS ah", - "ĠSp irit", - "Ġf ruit", - "Ġper cussion", - "Ġf al", - "te enth", - "ĠF ell", - "g ate", - "Ġpl us", - "Ġbran ches", - "Ġmess age", - "Ġexper iences", - "Ġthreat ened", - "ĠOriginal ly", - "Ġceleb rated", - "Ġass ign", - "ĠH ouses", - "Ġent ering", - "com mun", - "ĠF if", - "Ġexpl ained", - "ĠCommission er", - "ĠAnt ar", - "Ġentertain ment", - "ĠFl ight", - "ĠR at", - "ĠP ow", - "ĠSym phony", - "ĠIndust rial", - "Ġe ighth", - "Ġinvol vement", - "ĠPopul ation", - "at ar", - "ett a", - "Ġdou bles", - "an ne", - "ĠN E", - "Ġc m", - "ĠComp uter", - "Ġdem olished", - "ĠOver all", - "ĠPun jab", - "Ġdecl ined", - "Ġlic ense", - "Ġun f", - "Ġf ishing", - "l ater", - "m el", - "ĠS ite", - "Ġjur isd", - "ĠProf ile", - "Ġm oth", - "Ġdeb ate", - "Ġthe at", - "ĠRet urn", - "m od", - "Ġint ent", - "Ġswim ming", - "ĠAn cient", - "Ġhelp ing", - "Ġsp r", - "Ġaccount s", - "Ġ186 2", - "f ielder", - "ier ra", - "ĠS ad", - "Ġcous in", - "Ġconserv ation", - "ĠArt ist", - "ry pt", - "Ġg ather", - "Ġachie ve", - "b ane", - "il arly", - "ĠCra ig", - "os ph", - "Ġsup posed", - "us ing", - "ĠN BC", - "C on", - "ĠHer bert", - "Ġre nd", - "ty pe", - "Ġcontrovers y", - "Ġ188 4", - "ig o", - "ĠCommun ications", - "Ġra ise", - "ĠJer ry", - "Ġd ress", - "v ision", - "Ġst ring", - "ĠB ass", - "ĠG rey", - "Ġm ob", - "ot ton", - "Ġform ing", - "ĠCinc innati", - "is in", - "Ġinflu ential", - "ĠBarcel ona", - "st ers", - "D F", - "Ġcal cul", - "Ġex cell", - "ĠAl ong", - "Ġw arm", - "Ġstud ying", - "ĠJ oy", - "h ill", - "Ġmiss ions", - "Ġs olution", - "Ġf illed", - "ster dam", - "od ge", - "Ġprom pt", - "s a", - "ĠAdela ide", - "Ġaff ect", - "ĠH amb", - "w here", - "iss ue", - "re pre", - "ĠB ath", - "as p", - "Ġb en", - "Ġind icated", - "Ġ5 9", - "oy al", - "je ction", - "ĠL ions", - "Ġv ar", - "ĠA uckland", - "Ġlaw yers", - "hol m", - "ĠTh or", - "Ġrequ ires", - "M I", - "ĠC old", - "ĠH erman", - "ĠC ou", - "repre ne", - "198 3", - "ĠMun ich", - "Ġdra g", - "ĠSt art", - "ĠL P", - "ĠA viation", - "verse as", - "Ġarchitect ural", - ". :", - "A ll", - "ĠD og", - "hel m", - "ĠC S", - "g un", - "ĠH ugh", - "ag ar", - "Ġspirit ual", - "ĠShe l", - "ĠJ a", - "Ġcr ash", - "ĠC ob", - "Ġinj uries", - "Ġw restling", - "Ġparticip ation", - "Ġper haps", - "ĠWinn ers", - "ĠCan al", - "en cer", - "am pton", - "Ġor ient", - "Ġj ournals", - "ar ks", - "id o", - "ĠCroat ia", - "e or", - "ĠS z", - "ĠG oth", - "Ġprofess ion", - "ign ated", - "Ġsec ure", - "let t", - "ĠMag n", - "Ġvot ing", - "re hens", - "x i", - "ĠHe avy", - "ar at", - "and al", - "Ġ188 1", - "Ġp itch", - "m o", - "ĠD raft", - "ĠG round", - "ĠK ur", - "Ġd owntown", - "oc ation", - "ament al", - "Ġvess el", - "? \"", - "Ġcam era", - "ĠAngl ican", - "Ġrank ing", - "Ġinst ance", - "ĠCl ay", - "Ġ7 2", - "ĠB es", - "Ġcr imes", - "Ġsurround ed", - "Ġfr ame", - "Ġman ner", - "Ġc rop", - "Ġsh ut", - "ĠCr ime", - "ĠEx pl", - "Ġappro val", - "ĠBroadcast ing", - "ah o", - "ĠH av", - "Ġland scape", - "rib ute", - "ames e", - "ĠC ad", - "ot yp", - "Ġexist ed", - "Ġmark ets", - "Ġ6 7", - "ĠGon z", - "Ġperson ality", - "M L", - "ĠR ing", - "Ġbatt les", - "ĠS che", - "Ġ rif", - "ĠConserv ation", - "ah a", - "ĠH ann", - "Ġdep th", - "Ġele ven", - "e ed", - "ĠBe ijing", - "y t", - "Ġrepresent ation", - "inent al", - "ig ible", - "d est", - "Ġper fect", - "Ġse gment", - "Ġprot ests", - "ĠLl oyd", - "Ġsold ier", - "ĠY ang", - "Ġcor rect", - "r ub", - "ĠS ig", - "ĠS now", - "so ft", - "Ġm ir", - "ĠI celand", - "ĠB our", - "Ġann ually", - "Ġt ribut", - "f ly", - "Ġcomplet ion", - "at ically", - "Ġdon ated", - "ĠPer formance", - "ĠSystem s", - "ĠM asters", - "ĠArch ae", - "ont in", - "Ġl ob", - "Ġv ic", - "ĠTer ry", - "ab ilities", - "om on", - "Ġout put", - "Ġser ial", - "ĠB ris", - "ĠMont ana", - "ellect ual", - "ĠF inals", - "Ġex ternal", - "Ġthem es", - "Ġd ub", - "ĠBe h", - "born e", - "Ġnet works", - "Ġth in", - "Ġ8 5", - "Ġsk in", - "ia ble", - "ĠKe ith", - "Ġrepresent atives", - "ĠP el", - "p ine", - "ĠP ack", - "Ġmod ified", - "ĠY ale", - "Ġinf antry", - "p read", - "ĠArab ic", - "Ġcab inet", - "Ġf ear", - "Ġc ool", - "ĠB att", - "ul i", - "Ġsurv iving", - "iss ions", - "ĠIndust ry", - "ĠG ay", - "ĠF am", - "Ġconc rete", - "ĠP ont", - "if ican", - "iz ations", - "Ġpubl isher", - "Ġw ides", - "Ġb on", - "ĠWith in", - "ĠV I", - "ĠPol icy", - "ine e", - "Ġequip ped", - "Ġvis itors", - "ic ial", - "N S", - "ĠTy pe", - "ĠSh aw", - "ĠSte vens", - "iv ation", - "Ġhon ors", - "O M", - "197 9", - "ĠLar ry", - "Ġre act", - "oun ced", - "ĠThe od", - "amp a", - "E P", - "ĠMer c", - "Ġcirc uit", - "ĠC atherine", - "Ġn av", - "ĠEth iop", - "Ġlast ed", - "ĠM ig", - "ifican ce", - "Ġstrong ly", - "Ġgen re", - "ĠBulg arian", - "h um", - "ĠA ber", - "Ġyoung est", - "Ġre un", - "ĠG olf", - "Ġto ols", - "s is", - "Ġ188 2", - "Ġincreasing ly", - "ĠW es", - "ĠVenezuel a", - "ĠSe b", - "Ġdra f", - "ĠH ad", - "Ġd ream", - "ĠB uch", - "Ġk g", - "m ath", - "il ty", - "Ġcon gress", - "ĠRepresent ative", - "Ġtrib e", - "ĠInd ividual", - "Ġcolle ct", - "p p", - "ĠM ason", - "ĠForm ula", - "Ġd iam", - "ĠHen ri", - "Ġcent ers", - "Ġmart ial", - "Ġhapp ened", - "Ġsh ares", - "Ġille gal", - "Ġrep utation", - "ĠF uture", - "% ,", - "ĠG w", - "Ġadop t", - "ĠVeg as", - "Ġext ens", - "Ġrow span", - "Ġtransport ation", - "Ġabs or", - "ich i", - "Ġplatform s", - "ĠStat istics", - "ĠHud son", - "Ġpred e", - "Ġ9 5", - "ĠS A", - "Ġre pro", - "a uc", - "enn ial", - "ocrat ic", - "Ġvis iting", - "Ġs oul", - "ol in", - "Ġn one", - "ug s", - "i u", - "Ġpan el", - "ĠS alt", - "ĠAm sterdam", - "Ġb es", - "c alled", - "ĠP aint", - "bu ild", - "ĠS ask", - "ĠGo ogle", - "Ġne ut", - "cer ts", - "ro t", - "ĠLeg acy", - "us k", - "ag re", - "ĠEnvironment al", - "ke ley", - "oc al", - "Ġpr on", - "Ġmin imum", - "ĠB rew", - "Ġinn ings", - "Ġw ine", - "Ġhtt ps", - "t ical", - "oun sel", - "Ġplay offs", - "Ġdecl ine", - "ĠBulg aria", - "ĠBr un", - "ick ets", - "ĠG ust", - "ĠUn like", - "Ġs we", - "Ġatt orney", - "grad uate", - "ĠAtt orney", - "ĠSte ven", - "Ġa cted", - "ĠOr ig", - "ent e", - "Ġt ests", - "ĠMar vel", - "ĠNor folk", - "Ġdist inguished", - "b ound", - "Ġbelong ing", - "c z", - "ĠOper ations", - "Ġd ig", - "Ġpre gn", - "ac le", - "\" ;", - "ĠL an", - "osp itals", - "ĠB og", - "Ġsat isf", - "ash a", - "Ġcont ested", - "Ġcan n", - "Ġsurg ery", - "Ġt as", - "m ates", - "ĠBel arus", - "Ġsettle ments", - "ph al", - "d d", - "Ġbe ar", - "ĠM ix", - "od s", - "iz er", - "ing en", - "ĠM ann", - "ĠVerm ont", - "ĠT erm", - "Ġro ut", - "Ġatt ributed", - "se cts", - "Ġpreserv ed", - "el i", - "Ġto w", - "b us", - "w inning", - "Ġpost ed", - "ĠM az", - "or o", - "ig rated", - "Ġsc ope", - "Ġstat ue", - "Ġem igrants", - "ĠC ann", - "Ġsub t", - "Ġagric ulture", - "ast s", - "ĠTreat y", - "! \"", - "Ġan ch", - "ĠHar old", - "Ġelev ation", - "ĠN umber", - "Ġmerch ant", - "L P", - "ĠCamp aign", - "Ġmain tenance", - "Ġd rew", - "Ġbene fit", - "Don ald", - "itar ian", - "Ġcancell ed", - "Ġphil os", - "Ġrul ing", - "ĠD iamond", - "en os", - "ĠH orse", - "L a", - "ĠG ot", - "it is", - "ĠCur t", - "Ġcontin uing", - "Ġg olf", - "Ġag ents", - "ĠLu x", - "b rid", - "ĠRob in", - "ograp hers", - "Ġf ix", - "Ġdom ain", - "Ġbe ach", - "ĠL ie", - "198 2", - "z es", - "Ġcou ples", - "Ġdis pl", - "Ġsee k", - "Ġsub d", - "ĠS P", - "ĠC P", - "Ġhon our", - "Ġthir ty", - "Ġsched ule", - "ang erous", - "Ġc inema", - "Ġspok en", - "iction ary", - "ĠH ob", - "Ġinc idents", - "at che", - "Ġ6 8", - "B B", - "Ġkey boards", - "Ġex pect", - "Ġven ue", - "Ġf ighter", - "Ġrecomm ended", - "ĠSh in", - "b es", - "Ġdraw ing", - "' ve", - "Ġpopul ations", - "ĠD ays", - "Ġval id", - "ĠB right", - "ĠP ic", - "ul ations", - "ĠN S", - "ĠDeath s", - "Ġconsider able", - "Ġ1 000", - "Ġtre ated", - "ij i", - "ĠBy z", - "Ġmeet ings", - "Ġrele ases", - "t r", - "Ġparticip ants", - "Ġspe ak", - "ĠAn im", - "f ire", - "ra v", - "ĠBuddh ist", - "ĠDel aware", - "ĠDen ver", - "end ar", - "Ġform ations", - "A s", - "ub le", - "o j", - "Ġmod e", - "ĠSpr ings", - "Ġunder ground", - "Ġ187 6", - "ĠCommun es", - "ĠMan uel", - "ĠBos nia", - "Ġlong est", - "ĠB uc", - "Ġcoach ing", - "ĠM S", - "ĠManag er", - "ĠKen ya", - "Ġp ric", - "ro ck", - "Ġ188 3", - "Ġat mosp", - "Ġwides pread", - "Ġ25 0", - "ops is", - "arc hers", - "Ġan ime", - "Ġsat ellite", - "Ġsomew hat", - "ĠHel en", - "ch ild", - "ĠEn cyclop", - "Ġplan et", - "c at", - "ĠDrag on", - "D C", - "Ġfrequ ency", - "ĠF un", - "Ġchang ing", - "ĠN HL", - "Ġcharacter istics", - "Ġbir d", - "Ġfl ed", - "M ay", - "ĠIn v", - "Ġsu fficient", - "ĠErn est", - "ĠSy ria", - "ke ep", - "Ġres olution", - "Ġsh ore", - "Ġfest ivals", - "ĠBob by", - "Ġchap el", - "ĠP oll", - "Ġrelationship s", - "198 1", - "am ics", - "ĠT on", - "id en", - "Ġmod er", - "ĠCo al", - "Ġten ure", - "Ġpremi ere", - "ĠS ak", - "Ġgro wn", - "st own", - "Ġoccas ionally", - "Ġearth qu", - "Ġbo ats", - "g el", - "ĠM end", - "Ġf urn", - "ĠEd wards", - "Ġbl ocks", - "Ġg ay", - "ĠAt hens", - "ĠIndones ian", - "ult ane", - "Ġrese archers", - "Ġph one", - "ac o", - "Ġar c", - "Ġdepart ure", - "Ġreported ly", - "Ġex pos", - "onym ous", - "ĠPer ry", - "ĠRog ers", - "Ġill ness", - "b in", - "Ġjob s", - "ĠWar ri", - "ĠFrid ay", - "Ġac know", - "gi ate", - "Ġf ile", - "Ġany thing", - "Ġ187 8", - "Ġch amber", - "ust ed", - "Ġsaf e", - "ter ior", - "ia st", - "Ġinaug ural", - "Ġsp oke", - "ĠAd vis", - "ĠHol land", - "Ġhigh light", - "Ġgovern ments", - ". '", - "Ġpat rol", - "b ow", - "ĠS or", - "Ġindic ates", - "Ġab road", - "ĠL ion", - "ĠMah ar", - "Ġprin ted", - "C an", - "h igh", - "b ird", - "ĠTe ch", - "ĠHispan ic", - "ĠH ope", - "ĠT oy", - "Ġviol in", - "ur ring", - "ĠD ennis", - "Ġremain der", - "Ġcontrovers ial", - "ĠI C", - "ĠNiger ian", - "ĠEconom y", - "ĠClin ton", - "ĠG ang", - "ĠS ay", - "Ġinters ection", - "ĠK rist", - "ĠN y", - "ancell or", - "op es", - "ĠPed ro", - "Ġsur f", - "ĠPers ian", - "duc er", - "Ġt act", - "Ġtem por", - "Ġh a", - "Ġere cted", - "Ġwh ilst", - "ip er", - "ĠN an", - "Ġbu y", - "ĠAbb ey", - "Ġab use", - "ĠJeff erson", - "b ody", - "l iga", - "p ol", - "Ġw orship", - "ĠAng lo", - "Ġemploy ment", - "Ġph r", - "Ġh orses", - "Ġh uge", - "or p", - "ĠCirc uit", - "ĠW alt", - "o ons", - "Ġeffect ively", - "Ġoper ational", - "Ġattra cted", - "ĠK ay", - "ach i", - "ĠSw im", - "ĠBris bane", - "Ġs leep", - "ĠS ource", - "Ġt ell", - "ĠSt uart", - "ĠShort ly", - "Ġvis ible", - "Ġstand ings", - "ryst al", - "ĠHe in", - "ĠK ab", - "Ġ7 8", - "ĠRal ph", - "ĠR if", - "B M", - "] ,", - "Ġdu o", - "ew here", - "Ġrem ember", - "Ġ187 9", - "Ġsh ift", - "m usic", - "ĠG et", - "ĠPak istani", - "ĠO il", - "et ers", - "Ġdiscover y", - "Ġprede cess", - "por ter", - "Ġtravel ed", - "Ġw rong", - "ĠFin ance", - "al am", - "Ġprocess ing", - "ĠCh air", - "l ington", - "ition al", - "g om", - "Ġthous and", - "ĠS et", - "oc c", - "ĠMuslim s", - "Ġmuseum s", - "ra ham", - "ĠP att", - "au ge", - "Ġscient ist", - "Ġinstrument al", - "ur rent", - "ach ment", - "197 8", - "h l", - "Ġcom ics", - "Ġte ach", - "Ġsp aces", - "b acks", - "Ġst ress", - "Ġcont ribution", - "Ġunderst and", - "ing ly", - "Ġrest oration", - "ĠStan ford", - "Ġclaim ing", - "Ġannoun ce", - "Ġrecover ed", - "ĠFin ancial", - "ĠMag ic", - "ĠGra ce", - "Ġdef ending", - "Ġevery thing", - "Ġtrad ing", - "Ġmid field", - "E T", - "n ed", - "Ġresc ue", - "W A", - "Ġ urg", - "ĠW u", - "Ġreg ime", - "Ġn urs", - "Ġrel ocated", - "197 7", - "if ted", - "ĠTh ir", - "Ġsent ence", - "ĠPr inc", - "197 5", - "Ġbroadcast ing", - "G erman", - "k ar", - "elf are", - "Ġoccas ions", - "ip per", - "u its", - "ĠCl imate", - "Ġhe aring", - "ĠIn stead", - "Ġte xts", - "Ġ187 5", - "ĠL ock", - "ĠEag les", - "ĠAir lines", - "Ġunder t", - "ann i", - "Ġcas ual", - "ĠD ata", - "Ġemer ged", - "Ġa u", - "ur st", - "Ġsup ports", - "ĠAd v", - "Ġr ub", - "ĠT ogether", - "ĠJ ar", - "Ġfriend ly", - "f amily", - "m ina", - "ĠS oon", - "ĠBer keley", - "ĠPeters burg", - "Ġtrib es", - "port ed", - "ĠPen insula", - "Ġre pr", - "ot he", - "Ġabs ence", - "ail ing", - "ĠUr ugu", - "Ġwhere as", - "Ġmarket ing", - "ĠMad ison", - "ol ition", - "Ġexperiment al", - "ĠDemocrat s", - "as ia", - "Ġb id", - "Ġin ner", - "Ġcommand ed", - "Ġdiam eter", - "Ġsumm ary", - "ĠG ate", - "ĠTh ai", - "Ġaim ed", - "ĠPolit icians", - "ĠEpis ode", - "Ġcompet itive", - "Ġlicens ed", - "Ġvers us", - "Ġbeh alf", - "ĠP od", - "ĠC ert", - "ĠI T", - "Ġmiss ed", - "Ġ7 4", - "ĠG overn", - "ĠO sc", - "Ġ187 7", - "o an", - "Ġoppon ents", - "Ġ7 7", - "ro se", - "id al", - "H A", - "app y", - "ĠB av", - "ed a", - "ĠS ang", - "ic us", - "ĠR ight", - "c aster", - "Ġle af", - "Ġcricket er", - "un es", - "Ġmix ing", - "Ġaffili ated", - "ĠOtt awa", - "Ġqual ify", - "che st", - "ĠI b", - "Ġtourn aments", - "Ġcol ony", - "ĠSched ule", - "Ġ187 1", - "rag ue", - "ag s", - "ĠD est", - "qu arter", - "over y", - "Ġsupport ers", - "Ġdefend ers", - "ag i", - "Ġphys ician", - "ĠLe eds", - "Ġrebu ilt", - "197 4", - "ah l", - "ĠN ear", - "Ġcre ative", - "s pec", - "Ġdrug s", - "ul um", - "ĠBut ler", - "Ġsuppl ies", - "B e", - "Ġkn ew", - "Ġpro port", - "re ck", - "gor ith", - "Ġbe et", - "Ġb acter", - "ĠP ul", - "N T", - "ĠV e", - "Ġs end", - "former ly", - "Ġmon itor", - "ĠC ant", - "ĠCh a", - "um i", - "Ġpred omin", - "as m", - "ĠH ond", - "ĠVi ew", - "ĠK in", - "Ġmass ive", - "Ġcred its", - "Ġt orn", - "Ġ186 7", - "ath on", - "Ġed itions", - "Ġperiod s", - "o ard", - "Ġgall ery", - "Ġwrit es", - "ĠS oph", - "Ġb ridges", - "Ġm ines", - "ĠArch bishop", - "Ġgrand father", - "ne e", - "cl osed", - "ĠChe ster", - "ĠB ald", - "n an", - "Ġdep ending", - "Ġcat alog", - "ĠP ut", - "ĠDe ep", - "Ġse es", - "Ġrat io", - "ĠProdu ctions", - "ĠGerman s", - "medi ate", - "Ġf il", - "up s", - "Ġsw itch", - "Ġv e", - "Ġp seud", - "Ġ187 2", - "anth rop", - "ĠMal ay", - "c ut", - "Ġcharacter ized", - "ig s", - "eral a", - "Ġimmedi ate", - "Ġsuffer ing", - "k an", - "el ia", - "th lete", - "Ġ1 10", - "if ies", - "ĠNe xt", - "Ġf ur", - "Ġ187 4", - "f oot", - "it ure", - "Ġs udden", - "ĠC row", - "ĠAl tern", - "Ġsil ent", - "Ġfac ing", - "ĠEx change", - "ĠMov ie", - "197 6", - "Ġdescrib e", - "ĠMur phy", - "os hi", - "il is", - "Ġtra il", - "Ġconcern ed", - "Ġdis band", - "ix on", - "Ġafter wards", - "ff bb", - "B O", - "ĠS uz", - "Ġturn ing", - "196 0", - "ĠS ierra", - "Ġtrans mission", - "ĠNe il", - "if fer", - "u ador", - "Ġdet ailed", - "ĠFlore nce", - "Ġc ul", - "ro ve", - "Ġcateg ories", - "hem atic", - "ĠChristian ity", - "s or", - "au kee", - "ĠN R", - "or ous", - "Ġorgan isations", - "ĠNew castle", - "Ġarrang ement", - "Ġn inth", - "Ġhundred s", - "c f", - "Ġadvert ising", - "is ch", - "ĠWell ington", - "Ġh olid", - "ĠO cc", - "Ġconcent ration", - "ĠComm ons", - "Ġlegisl ative", - "u able", - "Ġpublic ly", - "Ġran ks", - "our se", - "qu ir", - "Ġpr inc", - "Ġ186 8", - "Ġrapid ly", - "Ġcon certs", - "unc redited", - "er ted", - "ow ed", - "Ġex ists", - "t rans", - "Ġpercent age", - "Ġ7 3", - "az e", - "ric ted", - "Ġ8 8", - "on ies", - "ĠC arn", - "ĠR af", - "ĠChrist ians", - "the less", - "ĠS ox", - "ĠM ath", - "W h", - "Ġcomment ed", - "M y", - "ĠPar ks", - "re leased", - ".. ..", - "ele ct", - "ĠM ol", - "Ġview ers", - "ĠSus an", - "enc ing", - "ĠEd die", - "ĠLe o", - "ĠHamb urg", - "Ġst yles", - "ĠAb u", - "Ġrecomm end", - "Ġad ults", - "Ġsign ificance", - "Ġcon st", - "min ute", - "194 5", - "Ġw at", - "Ġsign s", - "ew ay", - "ĠFriend s", - "Ġth ing", - "ĠGil bert", - "ĠUnt il", - "ĠInd ependence", - "Ġcon vention", - "ĠN A", - "ia o", - "Ġd ual", - "ĠHeb rew", - "Ġsp ending", - "ring ton", - "Ġ8 2", - "Ġins urance", - "ĠSecond ary", - "Ġunus ual", - "p any", - "Ġencoura ged", - "yl er", - "ĠRay mond", - "Ġw ants", - "onom ous", - "ĠWil helm", - "I L", - "ber ry", - "ff ield", - "Ġgrad ually", - "Ġ7 1", - "Ġident ify", - "ĠSer ie", - "ĠAgric ulture", - "Ġatt ending", - "Ġexc av", - "Ġ186 6", - "ĠWrit ing", - "ĠN ott", - "Ġbeg un", - "Ġ6 9", - "Ġf antasy", - "Ġwithd rew", - "Ġgreat ly", - "ĠJ in", - "Ġfac ilit", - "Ġl ibr", - "Ġle agues", - "Ġw el", - "Ġopportun ities", - "ĠN athan", - "ent i", - "em ed", - "ab el", - "ic he", - "O n", - "Ġsee king", - "ro id", - "at ra", - "ath y", - "ĠK erala", - "ran o", - "Ġdefin ition", - "p in", - "Ġapart ment", - "Ġvot ers", - "Ġelect ron", - "ĠCru z", - "Ġpar ks", - "Ġw ard", - "ĠEv ents", - "Ġhel ic", - "Ġ9 9", - "ĠRev ival", - "Ġrhy thm", - "Ġpal ace", - "ĠRel ations", - "it ual", - "ĠC elt", - "Ġpat ient", - "Ġbenef its", - "Ġ18 40", - "ĠSom ers", - "ĠScient ific", - "av i", - "ĠT ennis", - "ĠTun is", - "Ġh al", - "if inals", - "Ġpar am", - "Ġdisestabl ishments", - "Ġ6 00", - "Ġg ymn", - "ri en", - "ĠD in", - "cc a", - "ĠPh D", - "197 2", - "ris on", - "Ġorgan ised", - "Ġg one", - "Ġcorpor ate", - "Ġmake up", - "h n", - "iven ess", - "ir k", - "l ik", - "Ġsculpt ure", - "ĠArn old", - "ĠDoc ument", - "ĠSt ef", - "Ġres emb", - "ĠR ah", - "ĠCong o", - "Ġ187 3", - "ĠL akes", - "ot ion", - "Ġcompon ent", - "197 3", - "Ġweap on", - "St ation", - "C ol", - "Ġfor wards", - "ĠLu ke", - "ab e", - "Ġ9 6", - "Ġrep air", - "ĠK le", - "Ġde struction", - "oss ible", - "Ġb iography", - "m aking", - "ĠL ear", - "Ġo cean", - "v et", - "Ġmat hematics", - "Ġcoal ition", - "ĠWars aw", - ". ),", - "w aukee", - "Ġass ets", - "Ġevery one", - "Ġp y", - "Ġcl an", - "Ġinteg rated", - "Ġamong st", - "c ase", - "Ġcivil ian", - "r ates", - "ĠM uch", - "Ġac oustic", - "Ġgu ilty", - "g ame", - "ĠA ctor", - "Ġsp in", - "Ġphotograph s", - "ĠFem ale", - "P l", - "ĠLeban on", - "ĠKaz akh", - "Ġposs ession", - "P R", - "Ġview ed", - "Ġce ased", - "ag ement", - "Ġc able", - "Ġnob le", - "Ġex ception", - "Ġpro hib", - "ĠLeon ard", - "Ġw et", - "Ġst able", - "l ift", - "isc opal", - "k w", - "Ġcl ar", - "over e", - "Th is", - "Ġbelong ed", - "arri er", - "Ġrun ners", - "u ber", - "ov an", - "rat ors", - "Ġpat ron", - "ĠM ut", - "ĠPaul o", - "arg ed", - "Ġsubsidi ary", - "Ġhonor ary", - "Ġra c", - "rehens ive", - "Ġh at", - "Ġfrequ ent", - "ch ing", - "Ġcon j", - "Ġpart ially", - "ĠEc uador", - "ub a", - "ĠA chie", - "Ġsw it", - "ĠT ed", - "ĠFried rich", - "ĠT ong", - "Ġb orders", - "ĠM ik", - "ĠReg ular", - "Ġleg s", - "Ġfarm ers", - "Ġsub stitute", - "ĠEconom ics", - "Ġe asy", - "as ant", - "ĠS uch", - "Ġext ent", - "ĠC ork", - "ĠAr c", - "ĠBaron et", - "form ing", - "Ġp ul", - "Ġb orough", - "ĠM ust", - "r s", - "ĠN ak", - "ĠD ol", - "and om", - "od ed", - "ap se", - "ĠConfeder ate", - "an ced", - "ĠE sc", - "ĠAnn ual", - "ĠTax onomy", - "Ġearn ing", - "Ġcustom ers", - "Ġuse ful", - "min ster", - "ĠF ig", - "Ġmov ies", - "Ġtrad ed", - "ĠH aving", - "Ġg ate", - "Ġinc umbent", - "Ġev ac", - "ĠSe an", - "Ġk it", - "r us", - "ĠLat ino", - "ĠFell ows", - "Ġphys ics", - "ĠArt icle", - "ĠGh ost", - "ĠAll ied", - "Ġimplement ed", - "Ġ ),", - "ĠH ale", - "Ġplay wright", - "Ġsust ain", - "Ġphen omen", - "ĠR idge", - "Ġmarg in", - "b en", - "i ago", - "Ġtr uth", - "ok ie", - "ĠBr uns", - "Ġdeploy ed", - "Ġterm inal", - "Ġrel ation", - "Ġpe oples", - "Ġelect rical", - "Ġw edding", - "Ġon going", - "Ġsim ultane", - "it ars", - "ĠDomin ican", - "Ġsurv iv", - "ĠS ic", - "Ġmurder ed", - "B E", - "i ology", - "ĠProte ction", - "h our", - "iv ic", - "Ġto mb", - "Ġprov inces", - "ĠChap el", - "ĠL ig", - "ĠTeam s", - "Ġv olleyball", - "ĠWat son", - "ĠK id", - "E l", - "str ong", - "ĠB ent", - "Ġpick ed", - "ram s", - "ĠProv incial", - "Ġsec ured", - "Ġdismiss ed", - "Ġconserv ative", - "Ġ8 1", - "Ġsong writer", - "Ġoccas ion", - "Ġspons ored", - "ov ich", - "art a", - "ĠG az", - "ĠSy rian", - "ect or", - "Ġt ort", - "Ġc emetery", - "ĠPr ison", - "Ġapparent ly", - "Ġto ured", - "ort on", - "Ġport rait", - "ven ge", - "ĠProtest ant", - "ĠM ul", - "er i", - "ĠN C", - "ĠMusic ians", - "ull ivan", - "ĠIm m", - "ĠB ond", - "ĠPhill ips", - "Ġel dest", - "ĠJ ur", - "r n", - "h aus", - "ĠInit ially", - "ĠVen ice", - "ĠLe ader", - "Ġstrugg le", - "Ġm atters", - "ul us", - "a a", - "ĠMo z", - "ry s", - "ĠAddition al", - "ĠSing le", - "ĠS ony", - "Ġweek end", - "J an", - "al g", - "ĠCo ach", - "Ġprincip les", - "ĠStud ents", - "Ġcomplet ing", - "Ġb attalion", - "Ġjun ction", - "ĠL amb", - "o ffic", - "ĠR ange", - "ĠGuard ian", - "Ġsubstant ial", - "ĠForm ation", - "Ġbe autiful", - "te am", - "Ġdr ummer", - "Ġas c", - "ĠS yl", - "ĠHar vey", - "ĠStud ent", - "Ġmin eral", - "ac a", - "ĠWall ace", - "ov sky", - "Ġtre nd", - "Ġengine ers", - "ap ped", - "Ġc argo", - "d al", - "iss a", - "ĠE C", - "Ġdraf ted", - "Ġoper ator", - "ĠLeg end", - "Ġp ure", - "Ġiniti ative", - "ĠO g", - "Ġsym pt", - "ins ky", - "ĠCom mercial", - "u ations", - "Ġh ope", - "Ġg rey", - "Ġread y", - "und a", - "ĠInt elligence", - "er as", - "if ier", - "ĠCard inals", - "Ġdiscuss ed", - "ĠW ells", - "ĠD rama", - "ĠFilip ino", - "Ġphot o", - "ff ee", - "196 8", - "reprene ur", - "Ġalcoh ol", - "Ġmanufact urer", - "Ġim perial", - "ĠK ash", - "Ġcho ose", - "Ġmount ed", - "ĠSud an", - "Ġtra p", - "w ald", - "Ġs essions", - "Ġb io", - "Ġ9 7", - "em a", - "ĠB ach", - "Ġgu ide", - "Ġb ishops", - "ae us", - "om ic", - "Ġcl othing", - "Ġmov es", - "Ġexpl o", - "Ġm o", - "ĠTom my", - "Ġacc ord", - "ĠRoc he", - "O ct", - "ĠF ighter", - "Ġex cess", - "Ġ186 9", - "ĠSh ir", - "Ġren ov", - "E d", - "ĠOut standing", - "ĠB eth", - "Ġc ash", - "ol en", - "3 00", - "hemat ical", - "Ġy ield", - "vious ly", - "Ġ8 00", - "ĠHug hes", - "ĠC red", - "Ġtal ent", - "f urt", - "ĠJ ak", - "Ġreve als", - "Ġcon stitution", - "Ġb anned", - "Ġfund ed", - "197 1", - "ĠS ul", - "Ġpass age", - "Ġrespond ed", - "ĠP os", - "ĠL or", - "s uch", - "ĠCon st", - "Ġtri als", - "ĠNash ville", - "u j", - "Ġcommun ications", - "Ġenjoy ed", - "ĠDiv isin", - "Ġind ex", - "ĠHe at", - "Ġestablish ing", - "M arch", - "im o", - "eral ly", - "ro ke", - "Ġvac c", - "Ġdisplay ed", - "ĠK il", - "og an", - "ĠTre as", - "Ġdeb t", - "am er", - "ĠTas man", - "ĠShang hai", - "Ġplay off", - "I R", - "Ġdisc ontin", - "ĠC ov", - "Ġvarian t", - "ĠNe igh", - "Ġfun eral", - "ript ions", - "au er", - "ĠCh an", - "n ew", - "Ġres ort", - "Ġpart ly", - "Ġre venue", - "ĠCompet ition", - "p m", - "Ġp ale", - "ĠM old", - "gom ery", - "ĠColumb us", - "ĠRh ode", - "z ig", - "ific ial", - "Ġint ellectual", - "atche wan", - "sequ ently", - "Ġpartn ers", - "Ġas ks", - "ĠG as", - "ĠIs s", - "Ġdise ases", - "ĠH az", - "act s", - "Ġthr iller", - "Ġregul ations", - "Ġp ip", - "Ġex posed", - "Ġcon greg", - "ĠO ber", - "Ġout break", - "ĠMar qu", - "Ġfal se", - "ĠId aho", - "Ġst rict", - "Ġex ceed", - "ĠR aw", - "ort ion", - "196 9", - "Ġmerg er", - "ĠL ac", - "ĠGreg ory", - "ĠSc reen", - "Ġstep s", - "Ġrem ove", - "Ġout er", - "ĠChap ter", - "ĠGabri el", - "Ġl ingu", - "Ġal gorith", - "Ġposs ibility", - "Ġass ists", - "sc ale", - "ĠDr ive", - "Ġchar ity", - "m ill", - "ĠR us", - "Ġesc ort", - "ĠFour th", - "ĠB ear", - "em e", - "ĠJac ques", - "Ġany one", - "Ġfocus es", - "Ġadv ice", - "ĠJo an", - "ĠAb raham", - "I M", - "N ov", - "Ġ7 9", - "ĠHig her", - "Ġthr one", - "ic ity", - "Ġv ul", - "ĠVill a", - "Ġlab our", - "Ġapp ly", - "ed eration", - "Ġdebut s", - "Ġoppon ent", - "ĠD im", - "Ġbatter y", - "ĠF ictional", - "ĠFer r", - "Ġsur ve", - "ĠRes erv", - "Ġtun nel", - "ĠEle ctions", - "Ġdr iven", - "Ġjurisd iction", - "Ġl ose", - "Ġdisp ute", - "ĠWork ers", - "E x", - "lov ak", - "ĠH at", - "Ġcontin u", - "ĠShe ffield", - "Ġch oir", - "ĠMer it", - "K O", - "ĠS ut", - "ĠRam s", - "ent le", - "ĠMicro soft", - "Ġ8 7", - "in um", - "ĠLeg ion", - "Ġm os", - "Ġext reme", - "Ġ ib", - "Ġ9 8", - "ĠC ec", - "ĠIn g", - "ish a", - "m other", - "ai ro", - "ĠThrough out", - "ĠOr d", - "Ġliber al", - "ĠN g", - "ĠW as", - "Ġfall ing", - "Ġr ated", - "Ġliqu id", - "ro st", - "ĠP S", - "Ġcap s", - "Ġup grad", - "Ġcomp iled", - "ĠBruns wick", - "ĠMig uel", - "ĠY ellow", - "ĠLa ura", - "Ġdomin ated", - "Ġimm igrants", - "ah an", - "Ġrese ar", - "ĠSask atchewan", - "Ġscholar ship", - "up t", - "Ġass emb", - "ĠJ oint", - "Ġsol ar", - "ĠPlay Station", - "ĠArab ia", - "ir us", - "Ġ184 8", - "Ġtw in", - "an ion", - "ĠE ight", - "ick ing", - "ĠSeb ast", - "ad r", - "ĠW ag", - "Ġminor ity", - "ck er", - "Ġwear ing", - "Ġrecip ient", - "Ġexclus ively", - "Ġkeep ing", - "ip ped", - "ĠM ills", - "Ġall iance", - "ĠS ett", - "ĠSt ru", - "Ġsett lers", - "lim inary", - "Ġconne cting", - "O T", - "Ġdes ire", - "it ol", - "Ġgen etic", - "Ġcomp ens", - "Ġnorm ally", - "ut a", - "ĠStud y", - "Ġw ire", - "ĠP rice", - "ĠMont gomery", - "Ġdecision s", - "Ġassist ed", - "Ġdisc rim", - "ĠAh med", - "Ġj ury", - "ers hire", - "Ġcon stitutional", - "ĠNap ole", - "Ġre duction", - "A nd", - "ĠDev on", - "ĠMil waukee", - "ĠTib et", - "Ġ8 4", - "ac ional", - "ĠBab y", - "Ġ185 9", - "Ġunder w", - "H P", - "Ġcond em", - "akes pe", - "Ġro ots", - "Ġt anks", - "ĠAthlet es", - "ĠOb serv", - "ĠPoet ry", - "ĠCar r", - "E L", - "Ġst em", - "Ġprodu ces", - "ĠFran co", - "ĠEs sex", - "Ġd iver", - "m id", - "iz z", - "Ġloc ally", - "C om", - "ĠE ff", - "ĠR uth", - "Ġsequ el", - "Ġdec ides", - "Ġspe aking", - "ĠVlad imir", - "Ġrequ ested", - "uz z", - "ĠScot ia", - "our g", - "19 50", - "ĠC C", - "agon ist", - "cent ral", - "Ġattra ctions", - "ĠPer th", - "h aw", - "ĠMar a", - "ĠTrans l", - "est y", - "ĠS T", - "ĠB ag", - "d ire", - "Ġpattern s", - "ĠM idd", - "Ġmid fielder", - "ĠH ab", - "ĠD anny", - "Ġconstitu encies", - "Ġ9 2", - "Ġtrad itions", - "Ġto urs", - "ĠEngine ers", - "ĠF lying", - "ok u", - "ĠA x", - "Ġgener ated", - "Ġclin ical", - "ĠSw an", - "cy cle", - "Ġro ster", - "Ġcircum stances", - "ĠJ en", - "ab ric", - "Ġsub mitted", - "Ġgrow s", - "Ġem peror", - "Ġcompet itors", - "ie u", - "ĠPal mer", - "Ġne arest", - "Ġess ential", - "p hew", - "Ġclos ing", - "t ers", - "ĠSc ar", - "Ġt ons", - "' ll", - "u ly", - "Ġimplement ation", - "f am", - "ĠMaur ice", - "er r", - "eth yl", - "Ġ185 7", - "d ef", - "ĠGi ov", - "Ġm al", - "ĠRh odes", - "Ġb ay", - "Ġcon clusion", - "Ġunc ertain", - "oc ene", - "Ġne ither", - "Ġf old", - "ĠAir craft", - "est one", - "end ers", - "ĠCy pr", - "ĠF iction", - "Ġpurs ue", - "Ġst ab", - "Ġconne ct", - "osp el", - "Ġcont roll", - "ĠT all", - "Ġr ising", - "ĠBen ed", - "p y", - "Ġbe ating", - "ĠV oice", - "ĠCh urches", - "\" :", - "ĠA j", - "Ġlim its", - "ĠL ok", - "ĠGro ve", - "ĠMar io", - "Ġ8 6", - "ĠP ath", - "Ġb in", - "bor g", - "A d", - "Ġprop ag", - "CA R", - "Ġdivers e", - "ĠP rague", - "Ġs isters", - "ĠEx am", - "Ġen forcement", - "ĠYugoslav ia", - "ĠRena issance", - "Ġbound aries", - "Ġv ast", - "ab i", - "U K", - "Ġdeliver y", - "r ating", - "l ist", - "Ġf it", - "Ġmon astery", - "Ġterm inus", - "om i", - "Ġlow est", - "Ġunsuccess ful", - "ĠSomers et", - "e ing", - "Ġbre aking", - "Ġ9 3", - "a ude", - "ra wn", - "Ġelectric ity", - "ĠDe uts", - "Ġexhib itions", - "ĠLeg al", - "ĠF ly", - "ĠK i", - "f irst", - "b one", - "Ġgro ss", - "Ġappropri ate", - "Ġacqu isition", - "ĠG amb", - "as er", - "Ġcross ed", - "he nt", - "Ġst yl", - "Ġvict im", - "Ġb right", - "Ġiniti ated", - "A t", - "uss ia", - "Ġbal ance", - "ro ph", - "Ġto uring", - "Ġclos er", - "ĠE ld", - "ĠUn incorporated", - "ĠC inema", - "Ġmidfield ers", - "Ġs ailed", - "ĠT able", - "ĠD aw", - "Ġacknow led", - "qu er", - "n amese", - "att a", - "ĠT ir", - "Ġtop ics", - "ĠMe chan", - "l ia", - "Ġint ention", - "Ġmanag ing", - "av or", - "ĠRevolution ary", - "Ġsh ock", - "Ġconne ctions", - "ĠFran z", - "cl os", - "ĠW ald", - "Ġs ight", - "Ġcon vert", - "Ġmat hematic", - "Ġprodu ctions", - "ĠV ent", - "end a", - "Ġe at", - "ĠAr med", - "196 7", - "av ia", - "ĠNew ton", - "l ain", - "Ġnovel ist", - "ĠJ ung", - "ĠSh akespe", - "ĠAbd ul", - "Ġne ck", - "Ġmechan ical", - "ĠKr ish", - "Ġto ol", - "ĠC u", - "B est", - "ĠRon ald", - "ill es", - "ĠFurther more", - "Ġr is", - "Ġhe ir", - "pl ed", - "' d", - "Ġcou p", - "ĠM ang", - "Ġrespect ive", - "h in", - "Ġm asc", - "Ġnar rative", - "Ġcontin uous", - "ap est", - "Un ited", - "l u", - "Ġp or", - "et o", - "ro e", - "tra cks", - "Ġ18 30", - "ĠMc M", - "Ġ8 9", - "Ġre organ", - "Ġdiscuss ion", - "Ġreb ell", - "ĠCub an", - "ĠOsc ar", - "c os", - "ij a", - "ĠOt to", - "ĠCom merce", - "ĠClar ke", - "ĠGu ild", - "ĠPalest ine", - "ĠIndian apolis", - "ĠNott ingham", - "ĠV ern", - "Ġconvers ion", - "ath i", - "ic as", - "ĠIn stitut", - "ĠDel ta", - "Ġman if", - "U C", - "el in", - "ĠCamer on", - "ĠA ires", - "Ġparticip ating", - "Ġpit cher", - "ĠR aid", - "c ore", - "Ġre ct", - "Ġstrateg ic", - "v ar", - "Ġtreat y", - "we b", - "ans k", - "Ġnot ice", - "Ġcondu ctor", - "Ġmar ry", - "ĠA aron", - "ĠW ed", - "Ġnegoti ations", - "193 9", - "Ġsc en", - "e o", - "Ġimp ress", - "s ur", - "ar ation", - "ĠArch ives", - "Ġhous ed", - "ĠSp encer", - "ĠUg anda", - "ri ft", - "Ġsee ing", - "Ġex ecution", - "Ġrem ix", - "ap pro", - "Eng lish", - "Ġresign ation", - "Ġ8 3", - "sec ond", - "ĠH ous", - "ĠMot ors", - "Ġstreng then", - "ĠVal ent", - "eng u", - "ĠF at", - "ĠM orning", - "ĠP and", - "Ġse vent", - "Ġorig ins", - "Ġmar ks", - "Ġinvol ves", - "Ġsubmar ine", - "Ġtr uck", - "ad ier", - "ĠBl ock", - "ĠChile an", - "ĠG T", - "Ġhe ar", - "Ġcamp s", - "ĠFace book", - "ĠSt ill", - "Ġco operation", - "Ġs ang", - "Ġtim ber", - "Ġf itted", - "ĠIsa ac", - "Ġbas es", - "Ġphot ographer", - "ĠPhil osophy", - "Ġisol ated", - "ĠSte in", - "Ġbe auty", - "ĠB od", - "ĠStock holm", - "Ġillust rated", - "Ġt urb", - "Ġconcern ing", - "d isc", - "Ġel se", - "ĠMethod ist", - "Ġal ter", - "R T", - "ĠB ak", - "ath a", - "} }", - "Ġcampaign s", - "ĠByz antine", - "av ier", - "ĠDist inguished", - "Ġsuper ior", - "writ ing", - "Ġg ard", - "Ġa qu", - "Ġr ide", - "t ar", - "Ġc attle", - "Ġexhib ited", - "is che", - "ĠJust in", - "Ġsele ct", - "ĠBr as", - "Ġman age", - "y gen", - "Ġout standing", - "Ġtrib ute", - "ĠArch ive", - "Ġg al", - "Ġst im", - "ĠOak land", - "J ohn", - "u ros", - "ĠHind i", - "ze gov", - "alle st", - "ĠMach ine", - "Ġo verseas", - "v ol", - "ĠPrinc eton", - "Ġprinc iple", - "ne x", - "on ly", - "om o", - "Ġcol ors", - "Ġphot os", - "Ġcontribut ing", - "ĠA w", - "Ġag ree", - "Ġsl ave", - "Ġmanufact urers", - "Ġ10 1", - "Ġcon vin", - "ĠC F", - "ĠH ir", - "Ġviol ent", - "E N", - "ĠThere fore", - "h istor", - "ator ial", - "h al", - "Ġexerc ise", - "Ġmechan ism", - "Ġh orn", - "Ġs alt", - "Ġtrav elled", - "ol and", - "ĠD ame", - "Ġeconom ics", - "ĠLe ft", - "ĠLiber ty", - "Ġess ay", - "Ġprote ins", - "Ġmanufact ured", - "Ġr itual", - "ĠAc cess", - "ĠNorth west", - "Ġindu cted", - "os lovak", - "Ġsurv ive", - "Ġdescrib ing", - "ig ious", - "na issance", - "Ġdisc ip", - "Ġ ur", - "ĠW here", - "Ġorig inated", - "aur us", - "Ġj u", - "is an", - "196 5", - "r ors", - "ĠB ears", - "ĠP resent", - "Ġfilm ing", - "Ġinternational ly", - "Ġm or", - "ĠRe yn", - "song writer", - "Ġper mission", - "ĠDur ham", - "r ont", - "ant i", - "et ary", - "Ġpromot ing", - "ĠSh ips", - "Ġdef ended", - "ar u", - "Ġkid n", - "F or", - "ĠRo om", - "f ilm", - "Ġrad ical", - "Ġpet ition", - "Ġa thlete", - "Ġsuit able", - "col span", - "V P", - "ĠC hess", - "Ġpict ures", - "ĠF ra", - "ang le", - "ĠR ut", - "uss els", - "ĠShakespe are", - "Ġg iant", - "ĠLi u", - "ĠS ter", - "it ic", - "O r", - "rie ved", - "c or", - "H z", - "ĠAmaz on", - "Ġun incorporated", - "t ains", - "Ġinterview s", - "Ġf at", - "Ġvir us", - "Ġincre ases", - "fr ont", - "c ott", - "ĠL ak", - "Ġwealth y", - "Ġrep orter", - "Ġdiplom atic", - "art et", - "ĠJohann es", - "Ġm aps", - "Ġminist ry", - "Ġrestaur ants", - "m ir", - "ili ar", - "Ġan alog", - "writ ten", - "umber land", - "te g", - "Ġ185 4", - "Ġegg s", - "Ġinflu ences", - "b oys", - "ĠRe ed", - "ĠBenn ett", - "ĠJama ica", - "or ious", - "ĠK ill", - "Ġor n", - "form s", - "ĠE SP", - "Ġt ies", - "ĠN ame", - "4 00", - "Ġlat est", - "cul es", - "ĠBu enos", - "Ġfight ers", - "Ġdo ors", - "Ġdist ribut", - "Ġconf ig", - "ĠLe ic", - "il o", - "Ġm it", - "Ġre aches", - "Ġm amm", - "ic ia", - "ro y", - "ĠCh i", - "Ġinn ov", - "20 23", - "Ġcl ock", - "Ġhel ps", - "Ġthe rm", - "ĠK ate", - "ĠL ess", - "l ag", - "ĠN ancy", - "C o", - "Ġreleg ated", - "pt y", - "Ġchalleng es", - "ĠCab inet", - "ĠGe off", - "zegov ina", - "ir ms", - "ĠK arn", - "ĠK as", - "ĠF olk", - "Ġne uro", - "f a", - "ph is", - "ĠL ett", - "ĠFor um", - "ĠF oster", - "enh agen", - "ĠB ros", - "ĠMan it", - "Ġin put", - "Ġge omet", - "Ġmet ropolitan", - "ĠCypr us", - "Ġ9 1", - "Ġpers u", - "ens on", - "p ubl", - "Ġexp and", - "Ġcollabor ated", - "ang ular", - "O L", - "Ġinc om", - "ĠGrand e", - "Ġdr um", - "Ġfl ights", - "Ġd angerous", - "Ġprepar ation", - "ĠS old", - "ĠPan ama", - "iv o", - "vel t", - "ĠMont ene", - "ateg ory", - "Ġr andom", - "ph ib", - "Ġfif teen", - "Ġrecogn ised", - "196 6", - "ĠViet namese", - "ĠK ol", - "ĠGoth ic", - "ĠSus sex", - "ĠRe ading", - "Ġbi ological", - "oy age", - "Ġhunt ing", - "Ġsy mp", - "ĠK or", - "Ġc ouncill", - "ĠC raw", - "ĠEncyclop edia", - "ĠConc ert", - "ĠLiter ary", - "ou ch", - "Ġland ed", - "ĠTod d", - "ĠI sh", - "Ġathlet ics", - "as hes", - "196 4", - "J une", - "Ġhy per", - "Ġdoes n", - "Ġsim pl", - "Ġdomin ant", - "ĠRelig ious", - "Ġadvent ure", - "Ġfor g", - "ĠB rid", - "ett i", - "Ġapp re", - "ok o", - "Ġgu ar", - "Ġsm ooth", - "by ter", - "Ġb er", - "ĠDe b", - "Ġcle arly", - "Ġfin ance", - "ed ed", - "Ġtemper atures", - "Ġ185 5", - "ul ating", - "ĠO wn", - "ic ing", - "ĠV ar", - "ĠSh oot", - "ĠTr in", - "Ġbut ter", - "A pril", - "A ugust", - "not es", - "ie v", - "ĠC N", - "Ġdep ict", - "ĠM obile", - "ĠSalv ador", - "ĠLuc as", - "Ġ185 8", - "ĠG y", - "Ġsc ores", - "ĠP ent", - "E M", - "Ġreport ing", - "ĠPet e", - "ĠEm ir", - "ur as", - "um er", - "ĠArt icles", - "ĠCzech oslovak", - "Ġchar ter", - "Ġf asc", - "ĠB ased", - "Ġdesign ation", - "ĠG mina", - "Ġm arch", - "Ġ18 00", - "ĠEd itor", - "Ġthere after", - "ĠPro per", - "ĠAm bassador", - "ĠAlban ian", - "Ġ rib", - "Ġw aste", - "ats u", - "Ġdepart ed", - "ĠD y", - "Ġfem in", - "ĠC itations", - "ĠZh ang", - "Ġbelie ves", - "ib ilities", - "Le ague", - "Ġs ample", - "ĠP on", - "ĠGram my", - "es a", - "ran k", - "Ġsumm it", - "Ġcompos itions", - "Ġrest ricted", - "l en", - "re f", - "Ġinte gr", - "ĠD ale", - "ric ks", - "re ction", - "art s", - "ĠAng els", - "Ġa viation", - "Ġaccess ible", - "it us", - "ĠHar bor", - "ĠD as", - "ĠM ull", - "ĠM umb", - "Ġs ket", - "Ġvis its", - "ĠE t", - "ĠR i", - "Ġdepart ments", - "Ġ9 4", - "on na", - "ĠG ur", - "row s", - "ock et", - "Ġlegisl ature", - "ĠJun ction", - "Ġearthqu ake", - "ĠP ract", - "Ġvent ure", - "ĠKenn eth", - "ĠC itiz", - "be k", - "ĠPopul ar", - "Ġtr ump", - "z on", - "J apan", - "ific ate", - "ĠAn y", - "Ġdel ayed", - "Ġbon us", - "c in", - "ĠZ imb", - "Ġdep icted", - "ĠIraq i", - "Ġfast est", - "ĠMc D", - "f ree", - "ĠS uff", - "Ġbrig ade", - "Ġpian ist", - "Ġpre t", - "D R", - "d ess", - "ra h", - "ad ian", - "ĠC yr", - "Ġn inet", - "ĠG ren", - "Ġsympt oms", - "Ġmach ines", - "Ġt el", - "Ġb aby", - "al m", - "t wo", - "Ġel igible", - "ĠF ul", - "ĠN as", - "ĠSant iago", - "ĠK w", - "Ġph arm", - "l og", - "ĠNov els", - "Ġac res", - "uch i", - "if ts", - "Ġclos ure", - "Ġacadem y", - "Ġsl aves", - "ĠEag le", - "ĠCo x", - "19 40", - "B L", - "aj i", - "ill on", - "ĠDec ision", - "Oct ober", - "Ġsound s", - "ĠHer zegovina", - "Ġf ee", - "g ments", - "Ġra bb", - "Ġlay er", - "ĠP om", - "cf c", - "Ġdemonst rated", - "om orph", - "ĠMe g", - "Ġg ram", - "ĠFinal ly", - "ĠAm ateur", - "Ġpre st", - "ĠE k", - "Ġnovel ists", - "ĠM C", - "Ġch ron", - "Ġinsp iration", - "ĠRail ways", - "Ġne phew", - "apt ers", - "Ġleg acy", - "ĠL isa", - "Ġ els", - "m n", - "ĠX X", - "Ġn ut", - "Ġtrans m", - "u ke", - "ploy ment", - "Ġt ested", - "Ġdev oted", - "ĠL az", - "Ġpre ferred", - "Ġc avalry", - "Ġf ill", - "Ġgu ests", - "ĠEle ctoral", - "ĠArmen ia", - "Ġam bassador", - "ĠWild life", - "over ed", - "ĠK re", - "ok es", - "ĠOver view", - "ash ire", - "Ġcorrespond ing", - "Ġgu itars", - "ĠS aw", - "Ġcon stitut", - "ĠA ch", - "Ġarrang ements", - "ĠEd mund", - "ĠGu ards", - "Ġcert ified", - "Ġdis ch", - "Ġbl og", - "Ġ184 9", - "on ne", - "Ġp ointed", - "ĠTh ose", - "ĠB anks", - "Ġline ar", - "b ing", - "anim ous", - "Ġburn ed", - "b ie", - "e an", - "ĠM ade", - "ab we", - "Ġattempt ing", - "Ġus age", - "Ġsub sc", - "ĠD j", - "em ies", - "Ġupd ated", - "ĠM n", - "ĠR overs", - "Ġshop ping", - "mar ks", - "ĠOw en", - "ĠRo ose", - "ren cy", - "Ġaltern ate", - "ĠP ick", - "Ġco oper", - "Ġstruct ural", - "Ġide al", - "Ġen h", - "b ank", - "h all", - "ag ers", - "at ics", - "ĠB il", - "ĠTw enty", - "Ġhor iz", - "ric a", - "count ry", - "Ġro cks", - "Ġ185 6", - "ĠMarc us", - "or ge", - "ĠP ep", - "19 18", - "Ġs aved", - "ens en", - "ĠCom edy", - "mon th", - "Ġav o", - "Ġ185 2", - "Ġcon fess", - "Ġr id", - "ĠD uc", - "Ġlist ings", - "ĠI P", - "ĠP iet", - "Ġext end", - "Ġr iding", - "Ġvert ical", - "ĠMan ila", - "ĠRelig ion", - "ĠM TV", - "ĠAn a", - "Ġinher ited", - "Ġwid er", - "b as", - "i ens", - "ĠGl ou", - "Ġde emed", - "ĠLithuan ia", - "ĠMar x", - "Ġgard ens", - "rup ted", - "Ġanim ation", - "ĠSh op", - "ĠInd igenous", - "ro d", - "Ġs iege", - "uck er", - "Ġwid th", - "en er", - "ind a", - "O ne", - "ĠC rist", - "az i", - "ĠS of", - "ĠV il", - "ĠG ael", - "c ano", - "Ġtor ped", - "ĠB un", - "Ġrev ised", - "Ġappro ached", - "U P", - "Ġqual ification", - "s he", - "Ġrele vant", - "Ġindust ries", - "Ġres umed", - "ĠS ene", - "ĠEston ian", - "ĠBro oks", - "Ġen rolled", - "am ation", - "ĠTe xt", - "ĠH ass", - "ro oms", - "ĠWinn er", - "T e", - "Ġdep ression", - "Ġpers pective", - "ĠM am", - "Ġrec alled", - "Ġt um", - "ĠN ine", - "ĠRod rig", - "ĠP or", - "z ing", - "Ġcan al", - "Ġpract ical", - "Ġrecover y", - "Ġab olished", - "ĠA ur", - "p ost", - "ĠLe x", - "ĠOb ama", - "ut ed", - "od ia", - "ĠEx hibition", - "ĠCol in", - "intend o", - "Ġbrand s", - "ĠMoroc co", - "ĠIn spe", - "Ġchem istry", - "ĠCirc le", - "ĠLux emb", - "Ġrare ly", - "ers e", - "Ġto t", - "Ġneut ral", - "Ġels ewhere", - "ĠMc L", - "arch y", - "ĠLanc ashire", - "ĠVol unte", - "Ġpric es", - "il ian", - "ĠB elf", - "f our", - "Ġcons olid", - "Ġinh ab", - "ish i", - "O P", - "bor o", - "ĠSe x", - "Se ptember", - "at on", - "Ġpower ed", - "ĠF ras", - "De cember", - "ĠI F", - "Ġbirth day", - "st ed", - "et e", - "Ġfarm ing", - "ĠM ine", - "ĠL A", - "Ġg auge", - "Ġpro secut", - "is p", - "ĠInd ies", - "ucle ar", - "cess ion", - "ĠParalymp ics", - "ar r", - "Ġan nex", - "ll a", - "el o", - "Ġcr uc", - "ot ing", - "ĠT ampa", - "Ġc yl", - "ĠDav ies", - "Ġtempor arily", - "ri ke", - "ĠS weet", - "tern oon", - "ĠSt ories", - "ĠU tt", - "ĠFern ando", - "Ġt ight", - "ĠK em", - "Ġin formed", - "ĠD ob", - "ĠEx ped", - "ĠX V", - "Ġman s", - "Ġrel ating", - "Ġremov al", - "Ġwind s", - "Ġdecor ated", - "ĠClass ical", - "Ġform ula", - "Ġdist ingu", - "Ġinstall ation", - "J uly", - "R I", - "Ġattend ance", - "el ing", - "ĠBird s", - "Ġo l", - "Ġb ath", - "Ġt enth", - "Ġl akes", - "ic z", - "Ġcl ergy", - "Ġcirc le", - "it ary", - "Ġbelong s", - "ĠL ot", - "Ġthe rapy", - "th rough", - "Ġtradition ally", - "ose xual", - "Ġd atabase", - "ent o", - "Ġdisband ed", - "ĠT yp", - "lev ard", - "ĠCorn wall", - "Ġh ospitals", - "ĠWest minster", - "Ġspe aker", - "Ġspecial ized", - "Ġanth rop", - "om ber", - "zh ou", - "ĠD ictionary", - "ĠB M", - "ĠMumb ai", - "Ġin ternet", - "ĠCop a", - "ĠTot al", - "ĠA FC", - "ĠColon ial", - "ĠCont est", - "ĠSl av", - "ĠHar per", - "Ġpredecess or", - "g ra", - "ent ry", - "ĠMond ay", - "Ġb achelor", - "we ek", - "s i", - "Ġrestrict ions", - "ĠCop enhagen", - "Ġres id", - "ĠJ ava", - "on so", - "ĠS elf", - "Ġarchae ological", - "ar ians", - "isc her", - "Ġb ell", - "ĠRoose velt", - "oy e", - "ĠTra vel", - "ĠRe con", - "Ġconvent ional", - "Ġr um", - "Ġele mentary", - "ĠSch w", - "Ġhy brid", - "Ġcolumn s", - "r ish", - "ĠGard ens", - "Ġcoin s", - "ĠLou ise", - "Ġsur pr", - "ĠZimb abwe", - "Ġg ran", - "oy a", - "ili ary", - "Ġinterpret ation", - "Ġdec ide", - "Ġpart ial", - "re ts", - "st and", - "ur ated", - "af e", - "ap ur", - "Ġarr iving", - "Ġarg ument", - "Ġextens ively", - "ĠJul ian", - "ĠLabor atory", - "Ġinter cept", - "Ġinter pre", - "om ed", - "Ġbas in", - "ĠAp pro", - "Ġext inct", - "ĠG erald", - "rap ped", - "r ise", - "Ġc a", - "Ġus ual", - "ĠN intendo", - "A ust", - "Ġpione er", - "Ġident ical", - "196 2", - "oir s", - "ĠRe ich", - "Ġco at", - "Ġabs ol", - "ĠMar itime", - "ĠM use", - "ĠGiov anni", - "ĠAll an", - "Ġann ounc", - "Ġexpos ure", - "Ġp airs", - "m akers", - "nd ez", - "Ġn am", - "Ġrul er", - "ĠBl ake", - "z ed", - "ĠFif th", - "ĠInter view", - "H C", - "Ġ 00", - "at em", - "iff s", - "Ġcarri er", - "Ġrang ing", - "B N", - "ĠAp oll", - "ad ows", - "Ġrem ote", - "Ġs ke", - "ll er", - "Ġwrit ings", - "Ġt ens", - "im ates", - "Ġlook ed", - "h im", - "Ġpo le", - "ĠInt ro", - "ĠCan ter", - "l isted", - "Ġend ors", - "ĠEp iscopal", - "in f", - "ĠNik ol", - "ac co", - "Ġart work", - "Ġrev ol", - "ĠM atch", - "bro ok", - "196 3", - "igr ant", - "ĠG P", - "Ġcomm enced", - "Ġrece ives", - "ur se", - "ĠMalays ian", - "ĠPalest inian", - "ĠT ree", - "Ġv el", - "ĠA my", - "Ġdiss olved", - "Ġhousehold er", - "ĠRes ources", - "ĠPre m", - "Ġtribut ary", - "ĠRec ording", - "Ġ185 1", - "am y", - "Ġbank rupt", - "M usic", - "Ġwalk ing", - "on ial", - "ĠAh mad", - "Ġvocal ist", - "S U", - "Ġal ive", - "ĠQu est", - "Ġmin i", - "ĠH erald", - "Ġl ift", - "ĠDes ert", - "ĠMal ta", - "Ġab oard", - "Ġindic ating", - "Ġt icket", - "Ġfra ud", - "ĠPres byter", - "l ane", - "in as", - "Ġcom fort", - "Ġre vers", - "ĠFer din", - "ĠC ort", - "Ġwork er", - "Ġexp ensive", - "Ġpri ests", - "Ġs ung", - "y on", - "Ġcon ven", - "ĠR ice", - "l ights", - "Ġfre estyle", - "ĠC ust", - "w id", - "ĠA F", - "Ġcolle ctive", - "os es", - "ĠA ub", - "Ġdifficult ies", - "ĠPar ad", - "ĠEll is", - "play ing", - "ĠUS S", - "ĠRe form", - "ĠCamp us", - "onn ie", - "ĠEnd emic", - "ĠSe g", - "op ol", - "Ġcor ruption", - "at hered", - "Ġcat hedral", - "Ġexclus ive", - "ac in", - "ĠParliament ary", - "Ġdis order", - "Ġaff air", - "ff cc", - "ĠT ab", - "Ġaccom pany", - "Ġcop per", - "Ġc iting", - "found er", - "Ġde ck", - "Ġl iv", - "ĠGu itar", - "Ġf ulf", - "ĠT alk", - "ĠH im", - "st ract", - "ĠP ale", - "Ġbre ast", - "19 30", - "ĠBund es", - "Ġarchite cts", - "ĠKum ar", - "ĠAp ost", - "ull ah", - "ĠCard inal", - "Ġcomp ound", - "Q u", - "ĠV II", - "ed o", - "Ġb otan", - "ir ts", - "ĠMan ufact", - "ĠPear l", - "Ġcitiz en", - "Ġopt ions", - "Ġcarri es", - "ĠSaf ety", - "er ie", - "stru ct", - "195 9", - "ĠO z", - "Ġb ull", - "Ġtal ks", - "com pass", - "Ġfle w", - "ĠHit ler", - "Ġphys ic", - "ĠIs le", - "Ġsp end", - "ĠGu ang", - "Ġ{ {", - "Ġpit ched", - "Ġr ice", - "Ġsynd rome", - "Ġesc aped", - "Ġaggreg ate", - "Ġm oral", - "w as", - "Ġrefer end", - "Ġcent res", - "mont on", - "Ġpro l", - "Ġfoot age", - "Ġtarg ets", - "Ġun like", - "Ġra ising", - "ĠM ixed", - "Ġb ibl", - "Ġco ached", - "ari um", - "s ub", - "ĠGeorg ian", - "ĠB ott", - "ĠCelt ic", - "ĠM D", - "Ġc inem", - "Ġper mitted", - "um ps", - "or um", - "Ġh ills", - "Ġelev ated", - "Ġpl acing", - "Ġl ar", - "ĠEvent ually", - "ĠS ullivan", - "196 1", - "w oman", - "Ġre ducing", - "ĠAr d", - "n amed", - "Ġ <", - "Ġtechn ologies", - "ĠWy oming", - "ĠP iano", - "Ġsimultane ously", - "ĠB ronze", - "ĠManit oba", - "ĠG and", - "ĠTra in", - "ĠMon th", - "ĠHer o", - "ĠJ al", - "ĠRe cent", - "Ġdis aster", - "S outh", - "Nov ember", - "Ġsculpt or", - "osoph ical", - "ĠHol mes", - "Ġswit ched", - "is ons", - "Ġr ig", - "Ġre op", - "ĠDou ble", - "Ġpull ed", - "Ġeffic ient", - "Ġrefle ct", - "c u", - "leg raph", - "Ġfram ework", - "Ġme at", - "Ġvirt ual", - "ĠBeg inning", - "od ing", - "i our", - "and ro", - "ĠH es", - "ĠCl aud", - "v or", - "ĠW ik", - "ĠH us", - "Ġimprison ed", - "ĠESP N", - "Ġpl ain", - "ĠH arm", - "Ġs itting", - "ĠSc out", - "for ced", - "Ġf t", - "Ġc hess", - "v y", - "Ġg ear", - "Ġpil ots", - "ĠMet al", - "ĠPl ate", - "ĠOr land", - "ĠMor i", - "ac les", - "g ary", - "G M", - "H F", - "Ġb oss", - "Ġaware ness", - "Ġt ill", - "Ġnickn ame", - "ĠSh ield", - "ĠB ark", - "ĠTan z", - "Ġlocomot ive", - "Ġcoin c", - "ĠL iv", - "Ġdef ender", - "Ġveter an", - "195 8", - "ĠH D", - "y stem", - "ĠCurrent ly", - "s m", - "Ġdem ands", - "ĠPlay ing", - "Ġfund amental", - "th ird", - "sh a", - "ĠGl ass", - "G C", - "ĠM ales", - "ĠDun can", - "Ġcoll apse", - "Ġquarter back", - "Ġsh ops", - "Ġs ugar", - "Ġans wer", - "ĠW ool", - "ax y", - "Ġbomb ing", - "Ġcompar ison", - "Ġcoll aps", - "ĠBel grade", - "man uel", - "in ating", - "ĠC ore", - "Ġbus es", - "Ġ184 7", - "ĠX I", - "amb ers", - "le z", - "I reland", - "ĠWood s", - "ĠC R", - "ci ation", - "Ġemot ional", - "w orld", - "U N", - "ĠG ymn", - "onn ell", - "Ġt ier", - "ĠDe cl", - "k t", - "P r", - "ĠBe et", - "ond o", - "Ġstud ios", - "ol ics", - "ĠW atch", - "g ence", - "ĠAn at", - "ĠF K", - "Ġbl ues", - "Jan uary", - "ĠPort s", - "Ġthe ories", - "hold ers", - "Ġer ror", - "h arm", - "Ġfl ank", - "ĠB ran", - "at in", - "ĠBr ussels", - "ĠUnivers e", - "Ġwid ow", - "Ġorgan ic", - "ĠJul ia", - "Ġsam ples", - "Ġbl ind", - "oot s", - "ra cks", - "ack ed", - "ĠH od", - "Ġfound ers", - "ĠS ou", - "ĠCal gary", - "Ġsc iences", - "ĠLes lie", - "ĠK om", - "ĠSt akes", - "ĠBut ter", - "Ġdes ert", - "ĠEston ia", - "193 6", - "ĠMar in", - "ĠC avalry", - "Ġout door", - "av ian", - "Ġhistor ically", - "Ġcor ps", - "ib a", - "Ġch rom", - "itte es", - "Ġpr ince", - "ĠR A", - "Ġprom in", - "ĠPhys ics", - "Ġun less", - "ĠCanter bury", - "195 7", - "ar ry", - "ĠSoft ware", - ") )", - "Ġphil anthrop", - "ĠFa ith", - "ĠD iet", - "Ġfeel ing", - "com m", - "uk u", - "Ġg athered", - "ĠT iger", - "ĠK urt", - "ĠV a", - "in ery", - "Ġp ap", - "Ġcart oon", - "ĠTri ple", - "Ġent hus", - "Ġmeas ured", - "che l", - "ĠF ut", - "Ġtouchdown s", - "Ġev olved", - "Ġreserv es", - "W hat", - "ĠLegisl ature", - "ĠE is", - "ĠD um", - "Ġto x", - "Ġp ushed", - "ĠAndrew s", - "ast ics", - "ĠMe et", - "Ġ185 3", - "ĠSp ider", - "Ġmain stream", - "Ġin stitute", - "ĠCh ange", - "I nt", - "d orf", - "Ġthink ing", - "ĠCont inental", - "Ġspe akers", - "imens ional", - "ĠPro p", - "Ġdoll ars", - "Ġt ub", - "ĠHop kins", - "ĠN ortheast", - "im en", - "iz ard", - "ig i", - "ĠAd vanced", - "I tal", - "ĠHonor ary", - "r ary", - "ad h", - "Ġrif le", - "ĠL ic", - "Ġphr ase", - "ĠT ropical", - "ĠL oss", - "on ica", - "Ġdet ect", - "Ġent ers", - "all ing", - "ad ers", - "Ġw orn", - "o ft", - "ĠMe h", - "Ġall ies", - "Ġun ions", - "ĠFight ing", - "Ġcasual ties", - "Ġthan ks", - "ĠH erm", - "Ġdescend ants", - "S ch", - "qu et", - "ĠBra h", - "Ġexpl ains", - "ĠR ush", - "Ġste ep", - "ĠBry an", - "o que", - "Ġrang es", - "Ġatmosp here", - "intend ent", - "Ġbox ing", - "Ġtour ist", - "Ġret reat", - "Ġwor st", - "ĠAr sen", - "int ers", - "ĠSol omon", - "bo at", - "ĠLithuan ian", - "Ġsusp ension", - "Ġproced ure", - "l ength", - "us a", - "Ġdial ect", - "ater al", - "Ġvaria ble", - "Ġcomp rehensive", - "es is", - "Ġh idden", - "ip ur", - "as an", - "Ġgold en", - "Ġexhib it", - "ĠAlban ia", - "ĠUnivers ities", - "Ġcross es", - "Ġcor on", - "ĠHe ights", - "Ġz ero", - "ĠTrans it", - "ist ing", - "Ġdocument ed", - "I f", - "ĠCom pos", - "ĠCa uc", - "Ġsh aring", - "Ġinter change", - "ĠV eter", - "ĠC un", - "Ġdo ct", - "Ġhon ours", - "ang ered", - "Ġcharacter istic", - "ĠS ons", - "Ġrefuge es", - "Ġpro ve", - "Ġdis app", - "E ast", - "Ġro ot", - "Ġ184 6", - "ĠEd monton", - "ĠM is", - "Ġag es", - "ĠNAS A", - "Ġp ist", - "ipp ing", - "Ġassoci ations", - "ĠLud wig", - "ĠL on", - "Ġst ake", - "Ġautom atic", - "ĠStart ing", - "Ġslow ly", - "r t", - "ĠRem ix", - "r ity", - "Ġappro aches", - "ĠBur ials", - "Ġsp ell", - "Ġst ops", - "Ġf ert", - "Ġs oph", - "ĠRoll ing", - "Ġres iding", - "ick en", - "ĠTw itter", - "ĠP R", - "ĠT at", - "ĠGu j", - "Ġpe er", - "195 6", - "ĠPow ell", - "iff e", - "Ġattack ing", - "ĠEm ma", - "195 5", - "k u", - "Ġcivil ians", - "Ġreg ister", - "Ġgrand son", - "Ġconsum ption", - "Ġsoci eties", - "n al", - "Ġpost s", - "Ġy ard", - "Ġind epend", - "Ġsport ing", - "ĠNew port", - "ĠFrank furt", - "Ġres ol", - "Ġmag ic", - "ĠCh ad", - "ĠHend erson", - "Ġpro x", - "ĠCl if", - "Ġrem ark", - "Ġins pe", - "ĠH iro", - "Ġart ificial", - "19 20", - "Ġsust ained", - "Ġse eds", - "Ġsuppl ied", - "193 7", - "Ġb old", - "Ġreg ulation", - "ĠKing ston", - "ĠThe ory", - "ĠR ib", - "pir acy", - "i ott", - "ĠH ull", - "ĠSh adow", - "itz er", - "g art", - "ĠPl anning", - "Ġmonth ly", - "Ġdiffic ulty", - "Ġexcell ent", - "Ġkey board", - "ĠM uk", - "Ġfeel ings", - "ĠBrad ley", - "l it", - "f ast", - "ĠP orter", - "l ies", - "ern ess", - "Ġsculpt ures", - "Ġben ch", - "ĠMem phis", - "Ġib n", - "Ġcom ments", - "ĠPlan et", - "Ġin struction", - "G u", - "ĠT yler", - "ĠV id", - "Ġvers e", - "ux iliary", - "ch ief", - "ĠTe h", - "ĠMar ri", - "Ġconne cts", - "Ġen compass", - "ĠShe p", - "a very", - "quir y", - "Ġcontrol s", - "ĠSt rat", - "ĠLe op", - "Ġrefer ring", - "ĠS ie", - "Ġor chest", - "Ġtour ism", - "Ġ\" [", - "b ase", - "ĠPar am", - "s outh", - "ĠExped ition", - "Ġdr ink", - "Ġent repreneur", - "Ġfail ing", - "Ġen emies", - "ĠP ool", - "w he", - "ĠP seud", - "spe ed", - "Ġvict ories", - "Ġhyp othes", - "Ġtem ples", - "Ġdistin ctive", - "ĠEm ily", - "Ġfe ud", - "ĠSur rey", - "Ġover t", - "ĠMinist ers", - "Ġrad ar", - "ĠBre ak", - "ph ab", - "Ġt elling", - "ĠComple x", - "sh i", - "Ġkilomet ers", - "ĠC ord", - "atter ed", - "ĠArm strong", - "Ġs overe", - "ĠBl oom", - "m us", - "ĠBa iley", - "Ġpsych ology", - "enti eth", - "ĠN atal", - "194 2", - "ĠHigh land", - "ĠLore n", - "Ġlog o", - "ke es", - "ĠSp art", - "ĠM iles", - "Ġqu ad", - "ut ical", - "G S", - "Ġdiscontin ued", - "ĠDire ct", - "and ra", - "ad os", - "Ġloc k", - "ĠM om", - "ĠPrincip al", - "Ġpl astic", - "Ġpopul ated", - "ĠOrland o", - "Ġdanc er", - "ĠRichard son", - "ĠWarri ors", - "6 00", - "Ġdistin ction", - "Ġev il", - "Ġreform s", - "S w", - "ĠA A", - "D I", - "ĠE state", - "Ġcontract s", - "Ġh yd", - "ĠFran ois", - "ĠP ly", - "Ġcomed ian", - "Ġfor ty", - "194 1", - "Ġmiss ile", - "Ġf ib", - "Ġab ilities", - "r h", - "Ġm orph", - "ĠDou g", - "ĠEv angel", - "193 5", - "ĠW or", - "uis ine", - "ĠU z", - "Ġexper iments", - "en i", - "ĠNad u", - "ĠFerdin and", - "ĠInter ior", - "Ġsup plement", - "Ġret iring", - "it ro", - "Ġprogram mes", - "Ġvolunte ers", - "Ġb one", - "iat ric", - "ĠSlov enia", - "p id", - "Ġair line", - "Ġobject ive", - "ĠHe aven", - "Ġbre eding", - "ĠD und", - "ĠQ ing", - "ĠBou levard", - "Ġneighbour hood", - "om es", - "he ro", - "ĠPict ure", - "ge bra", - "a q", - "Ġt one", - "Ġlaws uit", - "Ġprint ing", - "Ġpredomin antly", - "Ġg ap", - "Ġthe sis", - "ĠN acional", - "j oin", - "Ġsp ots", - "p es", - "stan bul", - "Ġrecru ited", - "Ġd rove", - "f ol", - "Ġg rid", - "ĠEug ene", - "Ġtax es", - "Ġdo ctors", - "ĠAnd ers", - "195 3", - "Ġvul ner", - "Ġarr ives", - "ĠT ake", - "Ġf ung", - "ĠK ang", - "Ġimpro vements", - "b eat", - "Ġv ow", - "ĠK ad", - "Ġlo oks", - "ĠGu atem", - "l ay", - "ĠComple te", - "Ġpark ing", - "Ġcolle agues", - "Ġadminist ered", - "Ġathlet ic", - "h is", - "Ġlo op", - "du ces", - "Ġgrad uation", - "Ġas pect", - "fam ilies", - "st s", - "up er", - "Ġvo iced", - "ĠLuther an", - "Ġrat ings", - "Ġdiplom at", - "Ġbeet le", - "ĠCom bat", - "ub b", - "ĠCarol ine", - "ĠAg es", - "Ġacc um", - "Ġlay out", - "Ġc ave", - "ien ne", - "Ġass um", - "ĠG n", - "ĠZ amb", - "ple te", - "m l", - "ric ulum", - "Ġred es", - "ari us", - "ess a", - "Ġtheat rical", - "ĠBrad ford", - "v as", - "Ġsyn onym", - "Ġqu een", - "Ġaut ob", - "Ġhe nce", - "ĠL if", - "ĠH MS", - "193 8", - "Ġa w", - "ĠC andid", - "ra its", - "ĠTour ism", - "ol an", - "Ġfavor ite", - "Ġannounce ment", - "ĠR achel", - "Ġlabor atory", - "Ġgra ve", - "ĠGen us", - "Ġaffili ate", - "b ian", - "ĠAd rian", - "Ġalleg ations", - "h orn", - "ĠCh ase", - "Ġwrest lers", - "ĠS pect", - "le ston", - "Ġas king", - "m al", - "Ġdown load", - "des ignated", - "ĠOther s", - "ĠW orth", - "Ġs ure", - "Ġl ib", - "ĠStaff ord", - "iz a", - "e a", - "Ġor th", - "Ġexpl icit", - "Ġrel ay", - "ard i", - "le ct", - "Ġrap per", - "f ounded", - "ĠM ater", - "ĠP am", - "Ġpro of", - "ĠJenn ifer", - "ĠA I", - "Ġvari ation", - "Ġpat ri", - "he ld", - "ann on", - "Ġd ict", - "Ġret ain", - "offic ial", - "ĠD ig", - "om ar", - "ĠI gn", - "Ġconsist ent", - "Ġch ore", - "che z", - "Ġemploy ee", - "E uro", - "Ġtravel s", - "ar in", - "ĠSim pson", - "Ġpay ment", - "im er", - "ĠRoberts on", - "ĠW ake", - "ĠL ah", - "Ġr iders", - "Ġc ogn", - "ĠAb original", - "ĠW onder", - "Ġfocus ing", - "ou x", - "ĠLoc ation", - "Ġwa iting", - "Ġobl ig", - "j in", - "ap ing", - "it udes", - "Ġfa una", - "ĠS ap", - "Ġst ead", - "ĠCap itol", - "ĠAgric ultural", - "enc ia", - "Ġlo ad", - "ĠLind a", - "Ġgrad es", - "Ġval uable", - "ĠS oci", - "ĠM ing", - "Ġcom mentary", - "ĠSem i", - "ag ram", - "Ġnam ely", - "ĠEngine er", - "ĠHe ath", - "ĠCurt is", - "c io", - "ĠEuro vision", - "Ġceleb ration", - "ber y", - "Ġin hib", - "ĠPl ants", - "194 9", - "al in", - "Ġp unk", - "ĠJ ag", - "Ġsurn ames", - "ĠD ong", - "ĠL av", - "ĠNot re", - "ĠInd ex", - "pl ing", - "ĠRepublican s", - "Ġsax ophone", - "Ġcompris es", - "f n", - "Ġgoal keeper", - "Ġadvoc ate", - "oc ent", - "ĠT rent", - "ĠCor p", - "ĠGib son", - "Ġc ad", - "Ġf lex", - "ist o", - "Ġun ex", - "ĠE g", - "ĠHur ricane", - "ĠDocument ary", - "ĠPresbyter ian", - "Ġspok es", - "Ġinsc ription", - "Ġbusiness people", - "em pl", - "P P", - "Ġunder graduate", - "ear ing", - "Ġneighbor ing", - "ĠInter state", - "u er", - "Ġang le", - "ĠSlovak ia", - "c ity", - "195 2", - "Ġm ilk", - "V A", - "m ount", - "Ġpo ison", - "ĠBat man", - "wid th", - "Ġlab els", - "ĠPresident ial", - "Ġexpl an", - "Ġcommun ist", - "ĠPir ates", - "qu in", - "m ail", - "spe aking", - "Ġb ars", - "ĠH ed", - "19 19", - "195 4", - "aw i", - "Ġf iles", - "Ġqu e", - "ĠPhys ical", - "Ġc ounsel", - "ane ous", - "Ġa ims", - "Ġmur ders", - "Ġso ap", - "Ġrev ival", - "Ġg ift", - "ĠCard iff", - "Ġinter action", - "Ġemphas is", - "hab ilit", - "f ight", - "ĠLiber ation", - "ĠImp act", - "ĠF an", - "Ġchalleng ed", - "Ġd eter", - "Ġalleged ly", - "ĠG an", - "ĠB j", - "Ġed itors", - "Ġfre ight", - "Ġman ip", - "ĠGl enn", - "ĠTr ue", - "194 8", - "Ġunivers e", - "Ġb out", - "Ġt ag", - "Ġpat ent", - "ĠChel sea", - "b et", - "ĠA N", - "ĠPro gressive", - "zy me", - "Ġdial ogue", - "ĠR ac", - "p it", - "ĠBened ict", - "ĠHead quarters", - "ĠF erg", - "ĠMar cel", - "Ġsh ield", - "Ġox ygen", - "E F", - "Ġgeneral s", - "Ġgraph ic", - "ar ity", - "ĠPar agu", - "rand ed", - "ĠC av", - "ĠS ent", - "Ġwrest ler", - "ĠA ra", - "Ġstat ements", - "Ġtrans it", - "Ġtri ple", - "Ġfoss il", - "he nd", - "f eat", - "per t", - "p op", - "ĠL ink", - "ap a", - "ĠW end", - "ĠRoad s", - "Ġcons cious", - "Ġfl ash", - "f in", - "Ġconcept s", - "Ġpre v", - "194 4", - "8 00", - "Ġdet ail", - "Ġwarn ing", - "Ġfunction al", - "Ġdevelop ments", - "ash tra", - "Ġs av", - "ĠG ir", - "ĠV ision", - "Ġto ll", - "S he", - "ess ed", - "Ġj ew", - "ĠCath olics", - "ĠVir t", - "ĠR ican", - "Ġimp ossible", - "Ġdram atic", - "ĠI stanbul", - "H ung", - "ĠBelf ast", - "ĠChem ical", - "ĠCr us", - "Ġreb ounds", - "n ut", - "ĠM t", - "ĠSant os", - "ĠB ot", - "id ance", - "Ġm oll", - "ĠKazakh stan", - "Ġseem ed", - "Ġmain land", - "ĠCr iminal", - "ĠK urd", - "ĠPal m", - "Ġcomp ounds", - "Ġtack les", - "n ai", - "Ġcal endar", - "ere k", - "Ġexact ly", - "Ġexpl ain", - "ond e", - "ĠNe g", - "ĠD w", - "ber to", - "ĠAct iv", - "ĠAcc ount", - "ĠSch olar", - "ctor ate", - "Ġdr inking", - "194 6", - "Ġeng agement", - "k ok", - "Ġel abor", - "Ġb ats", - "ĠLy on", - "m ade", - "ir th", - "195 1", - "Ġexecut ives", - "ĠC ome", - "ĠMidd les", - "ar am", - "Ġmaintain ing", - "on al", - "Ġst ere", - "ct uary", - "ĠE RA", - "og o", - "am med", - "ĠF est", - "Ġarg ues", - "Ġunderw ent", - "ro le", - "Ġans w", - "ĠP ink", - "ch y", - "Ġbroadcast s", - "e ctions", - "Ġen act", - "Ġphilos opher", - "Ġbel t", - "Ġbehav iour", - "L S", - "Ġeditor ial", - "ĠCour se", - "ĠTh under", - "Ġph osph", - "ĠNAS CAR", - "Ġarr ive", - "Ġfif ty", - "ust rated", - "ĠAmer icas", - "ĠDev il", - "ĠEn s", - "in ted", - "Ġd iet", - "clud ed", - "ĠEm my", - "Ġext ends", - "Ġhapp y", - "ĠBed ford", - "ĠOs lo", - "Ġhead quarter", - "ĠCrit ics", - "ĠAm endment", - "build ing", - "ĠN AT", - "193 3", - "ĠM oney", - "ĠRe id", - "Ġimprison ment", - "Ġra id", - "Ġop ens", - "ĠWith out", - "Ġdiv or", - "Ġwar fare", - "ott o", - "Ġf iring", - "ĠAntar ctic", - "ĠP i", - "ĠH oll", - "Ġf aces", - "ĠPre ston", - "Ġimm igration", - "ĠP all", - "Ġsurviv ors", - "Ġl ad", - "O W", - "F ebruary", - "Ġres ource", - "Ġamount s", - "ĠCom b", - "ĠTour ist", - "ĠAgain st", - "ĠK aren", - "ĠAn imal", - "Ġw ars", - "Ġm emor", - "ip zig", - "Ġin g", - "ĠLuxemb ourg", - "ĠL il", - "oun s", - "Ġab und", - "bu ilt", - "Ġholid ay", - "Ġbeat en", - "Ġpres ents", - "Ġmole cular", - "ĠH alf", - "ĠH aven", - "ĠFellow ship", - "Ġreferend um", - "en o", - "Ġ184 5", - "oca ust", - "k ers", - "est rian", - "ro us", - "Ġcolon ies", - "le w", - "Ġspec imens", - "r ill", - "19 22", - "Ġpass ion", - "Ġm as", - "Ġconsum er", - "ID S", - "Ġc ant", - "sh ore", - "ĠC ed", - "ĠU FC", - "he rent", - "ild a", - "ĠB rent", - "Ġper ceived", - "194 7", - "Ġch apters", - "Ġaf ternoon", - "uch y", - "ĠD oll", - "Ġc ow", - "ch ard", - "ĠPat ric", - "Ġsign als", - "ĠAlger ia", - "ĠR iv", - "Ġf abric", - "Ġprep are", - "Ġse gments", - "ĠBurn s", - "ĠE in", - "he ng", - "ang o", - "asc ar", - "Ġsh arp", - "Ġprogress ive", - "ĠB A", - "Ġs ick", - "ĠUtt ar", - "t es", - "Ġtravel ing", - "ĠT ales", - "Ġ ).", - "ĠDisc overy", - "te chn", - "ĠV ij", - "Ġwill ing", - "19 29", - "ĠO pt", - "im m", - "ing le", - "ĠK ann", - "12 2", - "Ġgl ac", - "ĠOrgan izations", - "Ġd iversity", - "Ġcult ures", - "Ġsuccess ion", - "ĠEx cell", - "Ġhand ed", - "l as", - "ĠCorn ell", - "Ġaccommod ate", - "Ġm aid", - "ĠL ists", - "ĠC ut", - "ĠL ip", - "omet own", - "ĠPrim era", - "ĠA FL", - "ber ger", - "Ġperform ers", - "is le", - "ĠFed er", - "ĠSe oul", - "ĠLuc y", - "Ġj ail", - "ĠP ere", - "ĠAdvent ures", - "Ġor b", - "193 4", - "Ġfor cing", - "stad t", - "Ġact ively", - "add y", - "ass y", - "Ġperman ently", - "ĠEm il", - "Ġ7 00", - "Ġeffic iency", - "ĠMil ton", - "ĠV isc", - "ĠC any", - "amm ad", - "ĠTri p", - "Ġgraph ics", - "ĠLyn n", - "M D", - "ĠK yle", - "ĠK ot", - "ĠEd gar", - "ĠS ed", - "ĠAdminist rative", - "Ġreview ed", - "h urst", - "Ġimpro vement", - "qu est", - "ĠAndre a", - "ĠBas il", - "ĠNew sp", - "Ġassess ment", - "Ġprison er", - "Ġsus pected", - "Ġext ending", - "ĠBur ton", - "in ts", - "Ġsc andal", - "ĠD istricts", - "Ġprovision s", - "Ġinvestig ate", - "ĠTreat ies", - "19 14", - "ĠFras er", - "Ġhard ware", - "Ġn a", - "ĠI g", - "Ġprevent ed", - "mun ition", - "Ġ10 5", - "ĠBe yond", - "im mer", - "ay e", - "ĠC ly", - "ĠL ap", - "p iece", - "ĠJohn s", - "i w", - "Ġalt itude", - "ĠG am", - "Ġcont ribute", - "ĠExam ples", - "Ġor ange", - "ĠLett ers", - "Ġcap ita", - "ĠEst abl", - "ĠH els", - "ĠGust av", - "Ġ18 12", - "ĠF antasy", - "Ġread ers", - "ĠMar ian", - "ic ul", - "ĠW it", - "Ġcut ting", - "Ġpresent er", - "Ġpresent ation", - "re ne", - "ĠV ale", - "Ġt ram", - "c ats", - ". ;", - "Ġt ru", - "Ġgu ards", - "Ġs ending", - "ĠYan kees", - "u h", - "Ġship ping", - "ĠH ost", - "ĠWag ner", - "Ġnumber ed", - "str ument", - "Ġaff ord", - "atri ates", - "Ġin tern", - "ow ing", - "ĠRes p", - "Ġeduc ator", - "ĠHug o", - "Ġc raft", - "ĠL odge", - "et own", - "im p", - "Ġachie vements", - "Ġrefle cted", - "ĠK aw", - "ri er", - "f bb", - "Ġconvin ced", - "ĠGael ic", - "Ġput ting", - "Ġrebell ion", - "ĠBud apest", - "Ġtrans form", - "Ġ12 5", - "f ive", - "ĠTh an", - "ĠTrin idad", - "Ġte eth", - "oc hem", - "Ġbur ial", - "Ġaddress ed", - "ĠG es", - "v ity", - "ĠMar ion", - "Ġal ien", - "com mon", - "Ġpres erve", - "Ġconfl icts", - "ĠAber de", - "Ġfam iliar", - "Ġas k", - "Ġbo ards", - "Ġ13 0", - "ett es", - "ĠRoche ster", - "Ġpost er", - "Ġ183 7", - "Ġconf ront", - "m ant", - "Ġstation ed", - "ad ors", - "Ġ183 9", - "Ġoper ators", - "bo oks", - "ĠGene va", - "Ġmyth ology", - "Ġsol utions", - "Ġexam ination", - "ber n", - "Ġsail ing", - "Ġthere by", - "Ġcounter part", - "qu al", - "ipe g", - "an che", - "Ġfl our", - "ĠEthiop ia", - "Ġdies el", - "o il", - "ĠC anton", - "Ġsh ots", - "ĠP aper", - "Ġor g", - "ĠA th", - "Ġinter vention", - "Ġt ip", - "Ġrel ie", - "Ġrenew ed", - "Ġadminist rator", - "il ion", - "ch air", - "Ġcitizens hip", - "iment al", - "Ġ1 17", - "ĠV it", - "ĠK iss", - "ce ased", - "Ġex it", - "Ġdiscrim ination", - "Ġth rew", - "Ġleg it", - "ĠNever theless", - "Ġemp ire", - "Ġt ape", - "st ance", - "ĠElect ronic", - "ĠL ed", - "A f", - "ĠColomb ian", - "ist le", - "ĠH ern", - "Ġess entially", - "Ġd ogs", - "ĠMc Donald", - "ĠC os", - "Ġb rew", - "Ġevent ual", - "Ġthir teen", - "Ġnot ing", - "ĠAg re", - "ĠD ew", - "d an", - "Ġt ube", - "ut o", - "ĠMax im", - "ĠSher iff", - "ĠAdvis ory", - "ĠBir th", - "ĠWes ley", - "ĠM ob", - "ĠMar l", - "194 3", - "Ġprot otype", - "m ology", - "ic ism", - "ĠMy an", - "Ġt issue", - "Ġc hest", - "Ġm emb", - "ĠRe y", - "Ġnom inee", - "ĠR T", - "C ent", - "Ġp m", - "Ġend ings", - "st ock", - "ĠD arl", - "Ġdem anded", - "a uthor", - "ĠAlb any", - "th at", - "Ġcrop s", - "ĠS M", - "Ġre verse", - "Ġre ward", - "Ġgovern ing", - "Ġjud icial", - "ĠSing er", - "ic ular", - "ĠGl obe", - "pro duced", - "ĠWed nes", - "ĠReyn olds", - "c ock", - "Ġexper ts", - "iab ility", - "Ġdisc overs", - "Ġlif etime", - "ĠConstant in", - "Ġpack age", - "st op", - "ah u", - "ĠSerge ant", - "er ts", - "ĠPly mouth", - "ĠEll en", - "ator ies", - "ĠH off", - "ĠCar roll", - "Ġfriend ship", - "Ġconstru ct", - "s u", - "ster ious", - "ĠCon stitu", - "ĠI z", - "Ġinterest ing", - "ĠR az", - "ĠBe ver", - "oy le", - "Ġrequ iring", - "Ġcon ferences", - "g ang", - "193 2", - "t or", - "ĠB alk", - "Ġg aining", - "h ra", - "ĠBright on", - "ĠSh ore", - "ig ate", - "ĠC e", - "Ġpl ates", - "Ġfor th", - "ĠB end", - "Ġspecial ist", - "ĠC eleb", - "h art", - "Ġcompris ing", - "Ġtorn ado", - "Ġpsych ological", - "ch in", - "ĠRif le", - "Ġsh orter", - "if ax", - "ĠSt ore", - "] .", - "ĠAm b", - "arm s", - "col m", - "Ġh o", - "Ġg host", - "og g", - "Ġdel iber", - "Ġp ill", - "ĠJ i", - "Ġind oor", - "n on", - "Ġre de", - "Ġtas ks", - "ab out", - "ĠD S", - "Ġbreak s", - "B rien", - "ad m", - "ĠMyan mar", - "ins k", - "ĠJer emy", - "Ġdem ocracy", - "Ġinf ection", - "Ġf aster", - "h ou", - "Ġord inary", - "ĠCh uck", - "e ff", - "enz ie", - "l ined", - "pec ies", - "t z", - "Ġf ame", - "Ġex ile", - "ĠM aid", - "ak ov", - "Ġw elfare", - "Ġlocal ities", - "ĠJes se", - "ĠPl aza", - "ĠUs ing", - "Ġint ense", - "Ġd ancing", - "Ġper pet", - "ĠD ow", - "Ġst ored", - "ĠB ord", - "Ġfort ress", - "Ġ184 4", - "Ġex port", - "193 1", - "found land", - "Ġcomput ers", - "Ġcrit eria", - "Ġb orrow", - "Ġrepeated ly", - "ĠP s", - "ibl ings", - "alt ies", - "ne z", - "ist ent", - "ĠA B", - "re ated", - "Ġsh rub", - "Ġdispl ays", - "ĠS pl", - "L ove", - "Ġdesign ers", - "Ġ1 18", - "Ġswim mers", - "cest ershire", - "ĠOffic ers", - "Ġeng age", - "l ived", - "Ġtele phone", - "ĠRos a", - "Ġren owned", - "ĠVari ous", - "aw s", - "ĠMuseum s", - "ĠAl pha", - "ĠTest ament", - "ĠSac ram", - "Ġport ions", - "Ġimm un", - "pe z", - "Ġinteg ration", - "ĠCh al", - "ĠNob el", - "ĠLeban ese", - "Ġ u", - "ĠWinn ipeg", - "Ġp ir", - "Ġdiv orce", - "Ġpost hum", - "oc he", - "ĠB ody", - "Ġo w", - "Ġcut s", - "Ġequ ation", - "Ġw arri", - "19 28", - "Ġreb els", - "Ġrock et", - "ĠSpring field", - "Ġ183 8", - "Ġlibr aries", - "ĠMc N", - "et es", - "Ġproced ures", - "kins on", - "Ġsurre nder", - "atter y", - "Ġl oyal", - "Ġdi ocese", - "19 27", - "ĠP engu", - "Ġco ffee", - "Ġo v", - "g reen", - "ĠH ack", - "U SA", - "ĠAchie vement", - "c s", - "Ġf isher", - "Ġcl ay", - "ĠP ine", - "G O", - "ĠSil va", - "Ġsim ilarly", - "anc a", - "Ġgener ations", - "Ġlist en", - "Ġfour teen", - "l ore", - "at aka", - "Ġserv ant", - "Ġs weet", - "Ġappl ic", - "Ġindepend ently", - "ĠBC E", - "ĠLouis ville", - "r g", - "Ġfew er", - "ĠL omb", - "ĠBarn es", - "ĠA way", - "ia z", - "Ġw ish", - "c al", - "Ġun ve", - "Ġ15 00", - "ell ers", - "Ġhand ling", - "Ġcr ashed", - "ad al", - "Ġman ages", - "Ġtarget ed", - "Ġkill s", - "unn ers", - "Ġserious ly", - "Ġrec ipients", - "Ġprom ised", - "ay ette", - "unt ary", - "Ġvari ations", - "ĠG row", - "ĠD il", - "Ġcommit ment", - "W in", - "ĠStr ong", - "attal ions", - "ĠParalymp ic", - "Ġw al", - "ĠMat hematics", - "Ġbe am", - "ĠCarl o", - "Ġk ings", - "com p", - "ĠLad ies", - "ĠN in", - "Ġch orus", - "l ic", - "Ġexp atriates", - "Ġmy stery", - "ĠWind sor", - "ĠS isters", - "ĠPubl ishers", - "ĠLe ipzig", - "ĠHol ocaust", - "Ġmoder ate", - "ĠCany on", - "Ġsit uations", - "ĠS D", - "Ġvarian ts", - "Ġadvis or", - "at um", - "Ġor bit", - "ĠD ud", - "ĠIS O", - "ĠJam ie", - "h ops", - "Ġsur prise", - "Bl ack", - "ĠCamer oon", - "Ġhand le", - "Ġceleb rate", - "ĠCl aude", - "Ġprofession als", - "Ġwas n", - "Ġbelief s", - "v ae", - "ĠRoman ized", - "ĠC rystal", - "ĠA ven", - "Ġn est", - "ĠBas in", - "ĠC ros", - "ĠA part", - "Ġel ite", - "ĠBor is", - "Ġunderst ood", - "d istance", - "an ian", - "w ord", - "Ġover l", - "Ġfall en", - "phab et", - "ed e", - "ire ct", - "re a", - "ĠCo hen", - "fort un", - "op rano", - "Ġem pty", - "f fer", - "Ġnational ly", - "Ġp ub", - "ĠC B", - "ĠBol ivia", - "rec ord", - "Ġare na", - "Ġl ights", - "ĠH ood", - "Ġc ir", - "Ġ18 20", - "ĠRos en", - "ĠS uk", - "Ġv in", - "Ġ184 1", - "Ġthreat s", - "ĠInspe ctor", - "ĠV iv", - "Ġdra in", - "ĠLe vel", - "ĠCont in", - "Ġcl ients", - "que z", - "ĠN urs", - "ĠN u", - "ĠKenn y", - "Ġse ized", - "ĠN uclear", - "et ics", - "ĠE du", - "Ġcirc ulation", - "ĠJo el", - "Ġrevolution ary", - "art z", - "Ġdeal ing", - "Ġent ries", - "p arent", - "s ized", - "Ġman ual", - "ĠE ve", - "Ġconf used", - "ĠFerg us", - "Ġst olen", - "ĠMorris on", - "Ġresear cher", - "S te", - "Ġbi ology", - "im an", - "d ing", - "Ġconsult ant", - "ĠMaced onia", - "Ġl iver", - "Ġhoriz ont", - "ĠMin ne", - "ĠUrugu ay", - "ĠEll iott", - "up e", - "ĠJul ius", - "ĠN ico", - "ak k", - "ĠLanc aster", - "am as", - "Ġf irms", - "Ġsever ely", - "Ġsix teen", - "Ġcl ient", - "ĠJ ake", - "19 25", - "ĠM ats", - "ia e", - "Ġ184 3", - "ser ver", - "Ġcan cel", - "ĠVers ion", - "Ġopt im", - "ĠMal colm", - "ĠMad ag", - "Ġtri o", - "viron ments", - "Ġsusp ic", - "Ġup coming", - "Ġadvert is", - "Ġrece iver", - "Ġto ler", - "s ize", - "Ġon wards", - "ĠDe put", - "ĠP ret", - "Ġen roll", - "ĠH IV", - "Ġliter acy", - "Ġh ometown", - "M e", - "a que", - "S I", - "Ġobserv ation", - "Ġun p", - "ph ant", - "Ġbr ings", - "ip her", - "ĠCh oice", - "Ġflo ors", - "Ġsk ill", - "L ondon", - "ĠMur der", - "he y", - "ĠSpe aker", - "Ġm all", - "ĠNew foundland", - "amb a", - "or ient", - "Ġinter face", - "Ġh ole", - "ĠMar co", - "ĠMar tha", - "pr ises", - "ĠF ur", - "ĠUS SR", - "cha ft", - "ĠM s", - "et z", - "ĠTh urs", - "Ġau ction", - "ipl oma", - "ĠV III", - "Ġover lo", - "Ġpun ishment", - "% ),", - "Ġen zyme", - "uls ion", - "ĠShe n", - "ĠS ag", - "ĠKh al", - "Ġlect urer", - "Ġc oc", - "ĠK end", - "ĠW C", - "Ġbe ars", - "ust ers", - "ĠDor othy", - "ri um", - "Ġr ally", - "B ig", - "ĠRe in", - "N P", - "ĠPres idents", - "Ġrad iation", - "Ġw ore", - "ĠBeet les", - "Ġco ord", - "put ed", - "j iang", - "Ġcondu cting", - "Ġsurv ival", - "ograph ies", - "orm al", - "ic i", - "ato es", - "f ootball", - "ĠL ay", - "p ublic", - "Ġaccur ate", - "Ġpre fer", - "Ġcan on", - "ĠBur ke", - "Ġprof it", - "Ġsh ifted", - "ĠHar bour", - "Ġident ification", - "Ġpriv ile", - "uc a", - "ĠB order", - "ĠUnd erg", - "ĠIn stitution", - "Ġ183 6", - "ĠNapole on", - "Ġvolunte er", - "Ġpot entially", - "ĠHein rich", - "Ġmon uments", - "ĠSol o", - "ĠT ow", - "ĠNAT O", - "v iv", - "ĠCar ne", - "ing o", - "he v", - "Ġfollow ers", - "ĠML B", - "ar ag", - "Ġb ord", - "be ck", - "Ġgen es", - "ĠInd oor", - "ĠG em", - "Ġprot agonist", - "s ites", - "Ġhelic opter", - "et i", - "Ġc uisine", - "Ġfind ings", - "ĠArsen al", - "h alf", - "Ġ183 5", - "Ġpra ise", - "ĠV oc", - "Ġex ha", - "Ġsign ature", - "ĠN ass", - "Ġachie vement", - "Ġreal ized", - "yl an", - "ĠLear ning", - "Ġcolon el", - "ĠTasman ia", - "19 26", - "Ġch ronic", - "Ġdoctor ate", - "ĠF en", - "ĠR ica", - "Ġrel atives", - "Ġstream s", - "ĠJane iro", - "ĠBo eing", - "ĠVis ual", - "Ġtow ers", - "Ch rist", - "yl um", - "ĠE ye", - "lin ary", - "ĠM ile", - "19 17", - "ĠP oints", - "am ine", - "Ġm ail", - "Ġunivers al", - "ĠEd win", - "ĠL ines", - "ĠW A", - "ĠAle ks", - "I F", - "ros cop", - "Ġc osm", - "ĠNap les", - "ym ph", - "Ġno ise", - "onom ic", - "Ġport s", - "c ap", - "ĠW eather", - "Ġcre ates", - "ĠGram mar", - "Ġa est", - "ĠMon ument", - "T T", - "h or", - "ĠHeavy weight", - "ĠS earch", - "ĠDay ton", - "im on", - "E n", - "Ġep it", - "ĠS O", - "Ġlight ing", - "Ġw aves", - "ĠWork ing", - "ĠErn st", - "histor ic", - "19 21", - "omot ive", - "ĠF ant", - "ag ne", - "min ton", - "ĠHal ifax", - "ĠNE AT", - "ĠAT P", - "g io", - "ĠW ick", - "ĠStef an", - "Ġflu id", - "Ġenl isted", - "ĠG ul", - "Ġv oyage", - "Ġpre liminary", - "ul ine", - "ol ith", - "ĠIn side", - "os ing", - "pro duction", - "Ġmer c", - "Ġsup press", - "Ġadj ust", - "Ġneighbour ing", - "Ġrequire ment", - "h tt", - "ĠU m", - "19 24", - "Ġh ind", - "19 23", - "Ġscreen writer", - "Euro pe", - "Ġens emble", - "pr int", - "Ġ184 2", - "Ġment ions", - "Ġsepar ation", - "Ġsym met", - "ug a", - "b ey", - "ount ain", - "ĠD id", - "all i", - "ar re", - "Ġ( '", - "sh an", - "ĠL enn", - "ĠChief s", - "ĠBang kok", - "ĠT in", - "Ġpar ishes", - "ĠCraw ford", - "ĠR he", - "ĠMan or", - "Ġcongress ional", - "isc al", - "ĠAdvent ure", - "Ġ183 2", - "clus ive", - "Ġmission ary", - "Ġdecre ase", - "Ġdivor ced", - "Ġgr ants", - "ĠAn alysis", - "K A", - "Ġbar rel", - "rid or", - "ĠDeput ies", - "ĠNS W", - "ĠI BM", - "Ġfarm s", - "ĠFact ory", - "ĠPart icip", - "ĠC yp", - "ĠIs ab", - "Ġheadquarter ed", - "Ġvo ices", - "Ġb are", - "Ġl ie", - "Ġmagn etic", - "Ġant icip", - "rit z", - "Ġcongreg ation", - "Ġn aming", - "id ay", - "ĠG ol", - "ch ron", - "ĠChe ng", - "ĠK oh", - "Ġdevelop er", - "Ġrele asing", - "arch ived", - "ĠDire ctors", - "op hers", - "ĠM ick", - "Ġs unk", - "Ġjournal ism", - "Ġtorped o", - "ian e", - "Ġp ush", - "W orld", - "m ember", - "Ġb icy", - "ĠTheod ore", - "ĠW on", - "ĠAst ron", - "Ġst roke", - "Ġrec ruit", - "Ġo d", - "ĠD iana", - "in ia", - "ae a", - "Ġperson ally", - "c over", - "Ġsoutheast ern", - "ĠC and", - "Ġrain fall", - "ĠMadag ascar", - "Ġmat rix", - "ĠEd ge", - "Ġst eal", - "ĠG ott", - "ĠL ords", - "Ġaud iences", - "ĠStr ateg", - "F rance", - "Ġconsid ering", - "Ġfar mer", - "st age", - "ĠRh ine", - "s ar", - "ĠK ids", - "Ġcons ort", - "Ġdepos its", - "publ ished", - "reg ular", - "Ġline up", - "le igh", - "Ġencoura ge", - "Ġdisappe ared", - "Ġmanuscript s", - "Ġexplos ion", - "Ġpregn ant", - "ĠAr ms", - "ĠBal let", - "Ġhe m", - "re z", - "ri ans", - "ĠBul ld", - "ĠA L", - "Ġinhab ited", - "Ġprest igious", - "az ar", - "pt iles", - "Ġdraw ings", - "Ġs iblings", - "ĠBav aria", - "ĠT ank", - "el ong", - "ĠCol ony", - "ĠMon roe", - "ĠW ings", - "Ġor al", - "ĠD ir", - "ĠUl ster", - "Ġord ained", - "Ġcontest ants", - "ĠP ars", - "ĠHay es", - "Ġex terior", - "ĠSpeed way", - "W ill", - "Ġf ru", - "Ġre venge", - "ĠJul ie", - "Ġanch or", - "Ġdepend ent", - "ĠHous ing", - "Ġqu iet", - "Ġelect ro", - "Ġaut umn", - "d istrict", - "ĠSab ha", - "FF FF", - "ĠChar ter", - "g rand", - "Ġpurs ued", - "um ped", - "Ġcal c", - "ir ie", - "art e", - "ĠBeng ali", - "Ġst ones", - "Ġregist ration", - "Ġt ale", - "ĠRich ards", - "ord inary", - "ĠRab bi", - "B r", - "Ġremember ed", - "man s", - "Ġsuggest ing", - "ĠMahar ashtra", - "v card", - "ĠG av", - "Ġstre ak", - "ĠRecord ings", - "ĠU A", - "es ar", - "ĠB rom", - "Ġshel ter", - "Ġtro uble", - "Ġst aged", - "Ġdram at", - "Ġmix ture", - "ĠSch ol", - "Ġgar rison", - "D E", - "Ġaer ial", - "Ġtrans formed", - "ĠM LA", - "ard e", - "Ġimpro ving", - "y ch", - "Ġrest ore", - "ou rag", - "Ġw ickets", - "Ġupgrad ed", - "Ġden omin", - "ĠN em", - "Ġdest ination", - "Ġmess ages", - "ĠTer ror", - "l ass", - ". ).", - "Ġen able", - "ĠR up", - "ĠAr ctic", - "Ġgu idance", - "F rench", - "Ġab bre", - "Ġc ens", - "all a", - "Ġex chang", - "Ġautom atically", - "ĠO le", - "ĠCommun ication", - "h anded", - "enn ium", - "Ġen abled", - "Ġencounter ed", - "Ġob sc", - "Ġa ster", - "Ġas h", - "ĠAlexand ria", - "P M", - "ern er", - "st ore", - "ĠF BI", - "ĠD atabase", - "Ġwithd rawn", - "ĠM oss", - "Ġinter im", - "ĠSebast ian", - "ast ed", - "or ers", - "ĠGeor ges", - "s ince", - "Ġdub bed", - "Ġcritic ised", - "ĠP ione", - "Ġd anger", - "Ġrecogn ize", - "ĠAnn ie", - "Ġinter mediate", - "Ġconf idence", - "ĠGrad uate", - "ĠKos ovo", - "th ree", - "Ġl aps", - "Ġlob by", - "Ġent ity", - "Ġin sects", - "ĠLog an", - "Ġm igration", - "Ġham let", - "ĠLead ership", - "ĠSte phan", - "Ġalgorith m", - "ĠStre ets", - "pr ing", - "Ġk nee", - "Ġinvest ors", - "Ġsen ators", - "ĠC osm", - "ĠMinne apolis", - "Ġkit chen", - "ĠArchae ological", - "ĠWol ver", - "Ġc otton", - "ĠCD P", - "Ġnation wide", - "il us", - "ĠCh o", - "ĠFl ag", - "rac use", - "Ġl eng", - "ĠL af", - "Ġt ut", - "ĠCon stitutional", - "Ġper former", - "ĠI de", - "ĠBe a", - "Ġpan els", - "Ġbank ing", - "ĠC H", - "Ġr ivals", - "G N", - "ĠV olleyball", - "g overnment", - "ĠCh am", - "ĠProte cted", - "ĠPh arm", - "Ġw reck", - "ĠBe ing", - "Ġdem ocratic", - "mid t", - "ĠSt yle", - "Ġgirl friend", - "let te", - "Ġam munition", - "Ġsp an", - "ĠI N", - "nt on", - "Ġg arn", - "Ġnortheast ern", - "t ico", - "app a", - "ĠMerc ury", - "Ġ{{ |", - "ĠH il", - "ĠCl ara", - "Ġstream ing", - "ĠS ail", - "Ġh ier", - "Ġder iv", - "l is", - "Ġc odes", - "opter a", - "' )", - "Ġ10 2", - "ĠBo hem", - "Ġ10 3", - "Ġshe et", - "Ġjoin s", - "ol ine", - "Ġver te", - "ĠB erm", - "Ġam pl", - "ĠTw in", - "ĠMontene gro", - "Ġvar ied", - "ch urch", - "Ġpract ition", - "Ġclos est", - "ĠY emen", - "Ġsem ifinals", - "ard ed", - "Ġl ung", - "bass adors", - "ur an", - "ĠKn ox", - "ĠPant hers", - "h ad", - "ĠR out", - "imens ions", - "s l", - "ĠFoot notes", - "2 50", - "c ribed", - "ĠPro ducer", - "ĠSte am", - "ĠI TV", - "ĠL ut", - "b oth", - "Ġhon ored", - "ĠVict ory", - "ĠO st", - "Ġpreserv ation", - "Ġmain tains", - "Ġp ink", - "ĠAgre ement", - "Ġsubs pecies", - "s elling", - "ĠGen eration", - "Ġh ung", - "Ġo ct", - "Ġpup ils", - "ĠC it", - "Ġh ub", - "ĠO S", - "ĠReg ulations", - "Ġst ability", - "Ġru ins", - "Ġwe aken", - "gr im", - "Ġconj unction", - "ĠSouth west", - "C ar", - "ĠS it", - "Ġinv ented", - "Ġown s", - "ĠZ en", - "ĠU se", - "Ġp ond", - "Ġball ot", - "ĠAd olf", - "ĠV at", - "Ġcons ent", - "air y", - "ĠAl g", - "ĠMad h", - "im i", - "ĠM BA", - "ĠPorts mouth", - "ĠLeic ester", - "ĠC ool", - "in ite", - "Ġpres idency", - "Ġte a", - "Ġs hed", - "ĠR id", - "ĠL ars", - "ace ous", - "Ġim posed", - "Ġacadem ics", - "ain es", - "ath am", - "ĠBl u", - "fl ies", - "ĠF ast", - "Ġtransport ed", - "ĠT ru", - "Ġsw ord", - "Ġabs ent", - "ĠK ind", - "Ġacc eler", - "ĠJohn ston", - "Ġflower ing", - "Ġterrit orial", - "c ourt", - "it ely", - "Ġafter math", - "ĠMed ieval", - "ink i", - "ĠM ail", - "Ġflood ing", - "y g", - "Ġl ux", - "ĠR um", - "Ġnob ility", - "ĠCle ment", - "Ġinter act", - "ĠTel ugu", - "ier i", - "ch ant", - "Ġlect ures", - "Ġauthor ized", - "Ġc ock", - "ĠH ert", - "Ġre actions", - "art en", - "ĠN iel", - "ĠBes ides", - "Ġmotor cycle", - "Ġreve al", - "han ced", - "Ġest ates", - "Ġcon sec", - "Ġart if", - "w yn", - "Ġmin imal", - "ĠR oh", - "ĠCh ancellor", - "Ġhop ed", - "ĠY osh", - "Ġthe olog", - "ĠRaj a", - "Ġlearn s", - "Ġtop ped", - "ĠS ki", - "por a", - "ĠRec re", - "ĠRaid ers", - "ay ers", - "i ade", - "can ic", - "ĠF oss", - "Ġ14 0", - "Ġb inding", - "Ġen vironments", - "b est", - "ĠB ac", - "Ġfer ry", - "ment ed", - "Ġsequ ences", - "Ġ202 4", - "Ġmult ipl", - "Ġexp anding", - "Ġf ran", - "G P", - "ĠS ara", - "Ġrecon struction", - "ĠKarn ataka", - "Ġhost ing", - "ĠV eh", - "ĠNorth ampton", - "ĠL ob", - "Ġde als", - "ĠWW E", - "ĠD erek", - "Ġro bot", - "ĠK och", - "Ġrom ance", - "Ġal tered", - "Ġent r", - "ĠM ake", - "ĠEmer gency", - "ĠF alk", - "ow der", - "Ġj et", - "ĠUlt imate", - "Ġcl oud", - "ĠTanz ania", - "Ġsymb ols", - "Ar t", - "elect ric", - "Ġstri king", - "is i", - "Ġh az", - "g as", - "Ġs ky", - "Ġdanc ers", - "Ġf atal", - "Ġs in", - "Ġm ast", - "ĠF ont", - "Ġenh ance", - "un al", - "ĠY a", - "ĠTh ames", - "Ġbass ist", - "Ġper mit", - "ot ten", - "Ġdepict ing", - "Ġsudden ly", - "an ing", - "ĠSy racuse", - "Ġmass acre", - "Ġsl avery", - "Ġsh aped", - "Ġacqu ire", - "Ġarch ive", - "Ġconcent rated", - "! ,", - "e u", - "ass ic", - "Ġd uration", - "v ideo", - "Ġread s", - "Ġep id", - "at as", - "Ġmer ely", - "ĠS ister", - "Ġper m", - "Ġdel ay", - "Ġsurre nd", - "m ons", - "Ġpriv ately", - "ĠJ orge", - "B rit", - "ĠGar ca", - "Ġmut ual", - "Ġaver aged", - "Ġdist urb", - "ĠN one", - "ĠSuper ior", - "Ġf rog", - "r ina", - "rest rial", - "ĠSem inary", - "flu ence", - "ĠSuff olk", - "uv ian", - "ĠAut om", - "Ġdeep ly", - "Ġwa it", - "ĠCoal ition", - "ĠB ren", - "field s", - "ne um", - "ĠRet rieved", - "ĠC i", - "Ġmus cle", - "ĠW aters", - "ĠChem istry", - "Ġfem inist", - "ĠR as", - "id an", - "ĠDou bles", - "as ium", - "ĠBel le", - "ĠL it", - "Ġcab in", - "ĠChar leston", - "ĠWal sh", - "Ġinter actions", - "ĠR oth", - "ĠGre ene", - "Ġreleg ation", - "Ġp icks", - "Ġdoub t", - "ĠQ atar", - "Ġtre as", - "ĠS F", - "w alk", - "oc ity", - "ĠM ikh", - "ak o", - "em i", - "Ġsm art", - "ĠPap ua", - "ĠBet ty", - "ĠM ant", - "Ġmilit ia", - "ĠE y", - "Ġtheore m", - "ĠC ul", - "stro ke", - "Ġacknowled ged", - "ĠPro s", - "Ġeng ra", - "ĠAg u", - "ighth ouse", - "ĠPro cess", - "Ġmonitor ing", - "Ġpod cast", - "ĠS ard", - "ĠDod gers", - "in is", - "Ġmet ab", - "Ġcreat or", - "if iers", - "abl o", - "w en", - "h as", - "Ġtrav elling", - "T o", - "Ġhand ball", - "ĠBrown s", - "Ġsouth western", - "ĠBrun o", - "Ġ10 4", - "Ġfair ly", - "ĠB ene", - "ĠC airo", - "ver ted", - "Ġemer ging", - "th ouse", - "Ġpol o", - "en ic", - "ĠIn st", - "ĠIn iti", - "Ġguitar ists", - "Ġcust omer", - "ĠS ib", - "Ġd ors", - "ĠMe yer", - "ĠSof ia", - "ĠW r", - "Ġind eed", - "k m", - "ĠL al", - "op ing", - "ĠCount ies", - "Ġcomp act", - "Ġra pe", - "ĠLat via", - "utt le", - "ĠA u", - "at ro", - "ĠGl ac", - "ĠBre nd", - "au f", - "igg s", - "ĠWednes day", - "Ġfinal e", - "ĠS ind", - "pent er", - "Ġar bit", - "d em", - "im ony", - "ĠR C", - "ĠAltern ative", - "Ġcons ensus", - "Ġfa ction", - "ĠH ydro", - "ĠD ate", - "j ud", - "er os", - "ĠRober to", - "W C", - "ĠRe ver", - "Ġhead ing", - "M al", - "ĠTh ings", - "Ġmission aries", - "Ġrebu ild", - "er ic", - "ĠY uan", - "Ġtop ic", - "ĠDra ke", - "it ory", - "ĠIn teg", - "ĠEnter prise", - "ĠNew man", - "ĠN ed", - "head ed", - "ĠFor bes", - "ur ai", - "Ġcul min", - "inn ed", - "Ġ10 6", - "ĠRock y", - "velop ed", - "Ġtransl ator", - "Ġshe ep", - "Ġpersonal ities", - "wa it", - "ĠBundes liga", - "ĠY ar", - "Ġvin yl", - "Ġsup porter", - "r ud", - "ill ance", - "Ġfor b", - "Ġd ock", - "ble m", - "ĠF resh", - "Ġin clusion", - "ĠLyn ch", - "en ess", - "ĠD awn", - "w ind", - "ĠSh an", - "Ġattra ction", - "Ġvari eties", - "Ġcondem ned", - "Ġpre y", - "ĠGriff ith", - "ĠMoh ammad", - "oc es", - "Ġfe els", - "Ġthe ology", - "ro up", - "ĠSen ators", - "Ġst ick", - "g ae", - "ĠBuddh ism", - "Ġv ital", - "ra k", - "ĠWill ie", - "d imensional", - "Ġsc ar", - "19 16", - "ĠT H", - "Ġfurn iture", - "oph on", - "Ġcar ved", - "ĠBas el", - "R oman", - "Ġb read", - "Ġthe or", - "Ġpr ayer", - "o ine", - "S E", - "al us", - "Ġun em", - "Ġinaug urated", - "ĠSh i", - "Ġbatt ing", - "p ath", - "ĠQu in", - "om ical", - "b ad", - "Ġexpl oration", - "ĠB agh", - "ĠPro gress", - "Ġch lor", - "ĠN orton", - "Ġmom ents", - "oc y", - "Ġdev ast", - "Ġb ore", - "W hen", - "Ġfl ora", - "ĠT C", - "ile e", - "ĠSound track", - "N orth", - "ĠH appy", - "Ġbe aring", - "Ġhapp en", - "Ġtra ff", - "Ġshould er", - "J ew", - "idel ines", - "Ġstory line", - "Ġp ump", - "Ġsac rif", - "ĠChron icle", - "Ġrecept or", - "ĠIndust ries", - "pol it", - "un ted", - "os ystem", - "Ġren ovation", - "omin ated", - "Aust ral", - "Ġh ull", - "Ġcirc ular", - "ab ul", - "um en", - "Ġcompens ation", - "Ġshall ow", - "en ary", - "Ġassass ination", - "ĠBl air", - "Ġmans ion", - "ĠC ock", - "ĠB ishops", - "ĠSupport ing", - "oc ate", - "Ġ183 4", - "hold er", - "pl ane", - "Ġproceed ed", - "ĠInd o", - "Ġhur ricane", - "g ender", - "Ġpar as", - "s an", - "Ġcolle cting", - "ĠM are", - "Ġcr im", - "Ġac claim", - "ĠRaf ael", - "Ġcons piracy", - "ĠLank an", - "ĠL ing", - "ĠVenezuel an", - "ĠSax ony", - "ĠCub s", - "any a", - "he art", - "ĠGu est", - "Ġhydro gen", - "The re", - "SC O", - "Ġbox er", - "ĠHer oes", - "ĠG raph", - "Ġr idge", - "c ur", - "ĠFrances co", - "Ġdis orders", - "ro b", - "est e", - "Ġf ate", - "ĠIm pro", - "Ġ ic", - "pe i", - "Ġback ed", - "cles iast", - "is ers", - "Ġscreen play", - "Ġinterpre ted", - "Ġpract iced", - "Ġc anton", - "ĠJosh ua", - "F ran", - "Ġhom osexual", - "10 2", - "che m", - "an or", - "ell ar", - "ĠBra ves", - "Ġkill er", - "Ġ3 60", - "Ġgod dess", - "ĠAberde en", - "Ġexpl ore", - "Ġv aries", - "Ġstri kes", - "ĠId ent", - "ĠAtl tico", - "ĠMunicipal ities", - "Ġreg iments", - "ĠD ylan", - "Ġcol ours", - "ĠRed s", - "v ie", - "ĠSol ar", - "Ġover w", - "Ġpros per", - "Ġal gebra", - "fl ix", - "Ġapp rent", - "Ġd ying", - "19 12", - "Ġl ig", - "Ġw are", - "ĠSub sequently", - "ĠIns urance", - "Ġf ires", - "Ġd iamond", - "Ġcl othes", - "r one", - "Ġs ulf", - "od on", - "ĠW ander", - "Ġcycl ing", - "ĠGuatem ala", - "Ġconfig uration", - "ik ing", - "Ġconf irm", - "Ġmed all", - "ĠH ok", - "Ġweb sites", - "iv ate", - "Ġpred ict", - "ct ica", - "ond a", - "ĠBi ology", - "ĠDe pression", - "Ġteam mate", - "Ġsail ors", - "ĠT ul", - "ĠB ast", - "ĠCre ative", - "p resident", - "ĠPatric ia", - "m art", - "Ġpropos als", - "19 15", - "Ġpubl ish", - "ĠSc ulpt", - "Ġl ord", - "Ġaut hent", - "ant es", - "z el", - "ĠH C", - "ĠPal omar", - "ĠDem ocracy", - "ĠKy iv", - "Ġnickn amed", - "ĠSacram ento", - "ĠS E", - "ĠE up", - "Ġcopy right", - "ĠMos es", - "Ġterror ist", - ". -", - "ĠArchite ct", - "Ġbankrupt cy", - "Ġz ones", - "ĠT ask", - "ĠRe b", - "ĠBald win", - "Ġstat istical", - "Ġwatch ing", - "A ng", - "Ġquant um", - "ĠB in", - "Ġphenomen on", - "ĠSwim ming", - "Ġsubd ivision", - "ĠApoll o", - "Ġrefer ee", - "os c", - "L E", - "Ġmathematic ian", - "Ġsen ator", - "Ġoccur ring", - "orce ster", - "Ġpost pon", - "Ġsole ly", - "ĠC ategory", - "Ġninet eenth", - "P ort", - "Ġman or", - "Ġm arri", - "ĠMore over", - "ik er", - "Ġburn ing", - "Ġre ass", - "ĠD re", - "ĠTro y", - "ir s", - "ĠB attery", - "Ġlar vae", - "Ġv ector", - "Ġprec ip", - "S F", - "Ġfavour ite", - "ĠSm art", - "ag le", - "Ġgener ate", - "Ġcur riculum", - "Ġstrugg led", - "av id", - "ĠFel ix", - "ard ment", - "d aughter", - "ers h", - "ĠV ish", - "19 10", - "Ġlay ers", - "com es", - "Ġut ility", - "ĠExcell ence", - "it ative", - "u o", - "ĠLoc ated", - "ĠP red", - "Ġexp elled", - "Ġcount ed", - "ri o", - "ĠAut o", - "Ġtrans formation", - "Ġveget ation", - "ĠI st", - "Ġobserv ations", - "ik es", - "Ġaccord ance", - "ĠC ash", - "S ec", - "Ġrival ry", - "Ġarm ies", - "ĠBalt ic", - "ĠSett lement", - "ĠFu j", - "ĠDen is", - "R E", - "e i", - "Ġbroad caster", - "Ġ16 0", - "et al", - "Ġbacter ia", - "Ġtrib al", - "ĠK ul", - "p ic", - "n ie", - "un ar", - "Ġmark ing", - "Ġport raits", - "Ġth orough", - "so le", - "Ġatt itude", - "Ġcomm anding", - "Ġrun way", - "Ġmar sh", - "ĠD rew", - "em por", - "... ]", - "Ġp aying", - "ĠY uk", - "ĠBrand on", - "Ġint ens", - "ro at", - "Ġgovern ed", - "Ġby pass", - "ĠV ick", - "ĠAssoci ate", - "l ar", - "ĠCong reg", - "Ġstr ings", - "ĠSim ilarly", - "Ġhop es", - "Ġmy sterious", - "ĠF o", - "Ġhealth care", - "Ġinteg ral", - "ĠChar acter", - "ĠG ospel", - "c ot", - "Ġbal let", - "Ġpartic les", - "ĠCarne gie", - "ĠX box", - "an an", - "ĠM ilit", - "ĠCam pe", - "y ou", - "Ġcollaps ed", - "ĠRo le", - "sc reen", - "D T", - "Ġmagn itude", - "Ġspec ified", - "ĠS ugar", - "on te", - "Ġhand led", - "p ie", - "ĠB uk", - "ĠF iji", - "Ġair ing", - "ĠU TC", - "Ġprompt ed", - "ĠCl aire", - "ĠThurs day", - "Ġd ella", - "ĠQu int", - "ĠSport ing", - "z an", - "ĠCan cer", - "Ġdraw s", - "Ġt ables", - "Ġeas ier", - "Ġsec ular", - "amp ire", - "ĠK ok", - "Ġconsequ ences", - "ov es", - "ĠW ong", - "ĠProv idence", - "Ġg astrop", - "Ġint ensity", - "it he", - "Ġmos que", - "and i", - "ĠChurch ill", - "ĠTr uth", - "ia k", - "mar ine", - "Ġc raf", - "ĠW id", - "ĠEl is", - "Ġassign ment", - "Ġhe ct", - "Ġwithdraw al", - "ĠSumm it", - "Ġsk ull", - "C O", - "Ġd ish", - "Ġqu oted", - "ĠMar ines", - "Ġmet re", - "ah i", - "Ġdep icts", - "Ġn erv", - "Ġtalk ing", - "Ġblock ed", - "Ġwhe els", - "ĠBer ry", - "ĠNe ed", - "Ġ183 3", - "ace utical", - "f s", - "van ces", - "Ġdecre ased", - "i ated", - "Ġless ons", - "erm o", - "Ġsurf aces", - "Ġoccas ional", - "ĠP omer", - "ch us", - "rag on", - "ĠE ty", - "ide a", - "ĠWin ston", - "Ġstrong er", - "Ġuncle ar", - "Ġcle ared", - "Ġbene ath", - "ten ham", - "Ġspec imen", - "Ġth rown", - "Ġcent ered", - "Ġimpress ive", - "Ġpro sec", - "Ġgrand mother", - "Ġserv ants", - "Ġter rain", - "Ġhabit ats", - "mer c", - "ĠGre ens", - "Ġs a", - "rit ic", - "Ġregard less", - "ĠGreat est", - "ch ar", - "Ġcorpor ation", - "Ġre ject", - "ĠKer ry", - "mark et", - "ĠVern on", - "Ġassemb led", - "19 13", - "j un", - "Ġland sc", - "ott a", - "ĠGriff in", - "ĠD art", - "Ġb apt", - "ge ons", - "Ġrem n", - "Ġfilm maker", - "w al", - "em ann", - "ĠU P", - "19 00", - "M T", - "ĠVi ol", - "Ġinterview ed", - "oy alty", - "n is", - "j ust", - "ĠPer uvian", - "ac ular", - "Ġrenov ated", - "ĠSh am", - "y u", - "ĠW orcester", - "ĠR BI", - "Ġp ounds", - "Ġed iting", - "D o", - "f old", - "Ġ3 50", - "ĠUz bek", - "ĠW is", - "Ġp ace", - "her ic", - "ĠEx tra", - "ĠJackson ville", - "ĠAppe als", - "to ok", - "og ical", - "Ġsocial ist", - "Ġtack le", - "ĠH its", - "se at", - "Ġess ays", - "ĠAr ist", - "Ġpl ed", - "ĠOri ental", - "Ġhe ter", - "Ġsur geon", - "ĠCow boys", - "Ġph on", - "ĠAct ing", - "ĠGar cia", - "ĠBro ck", - "gro up", - "7 00", - 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"ĠUSS": 12255, - "ĠReform": 12256, - "ĠCampus": 12257, - "onnie": 12258, - "ĠEndemic": 12259, - "ĠSeg": 12260, - "opol": 12261, - "Ġcorruption": 12262, - "athered": 12263, - "Ġcathedral": 12264, - "Ġexclusive": 12265, - "acin": 12266, - "ĠParliamentary": 12267, - "Ġdisorder": 12268, - "Ġaffair": 12269, - "ffcc": 12270, - "ĠTab": 12271, - "Ġaccompany": 12272, - "Ġcopper": 12273, - "Ġciting": 12274, - "founder": 12275, - "Ġdeck": 12276, - "Ġliv": 12277, - "ĠGuitar": 12278, - "Ġfulf": 12279, - "ĠTalk": 12280, - "ĠHim": 12281, - "stract": 12282, - "ĠPale": 12283, - "Ġbreast": 12284, - "1930": 12285, - "ĠBundes": 12286, - "Ġarchitects": 12287, - "ĠKumar": 12288, - "ĠApost": 12289, - "ullah": 12290, - "ĠCardinal": 12291, - "Ġcompound": 12292, - "Qu": 12293, - "ĠVII": 12294, - "edo": 12295, - "Ġbotan": 12296, - "irts": 12297, - "ĠManufact": 12298, - "ĠPearl": 12299, - "Ġcitizen": 12300, - "Ġoptions": 12301, - "Ġcarries": 12302, - "ĠSafety": 12303, - "erie": 12304, - "struct": 12305, - "1959": 12306, - "ĠOz": 12307, - "Ġbull": 12308, - "Ġtalks": 12309, - "compass": 12310, - "Ġflew": 12311, - "ĠHitler": 12312, - "Ġphysic": 12313, - "ĠIsle": 12314, - "Ġspend": 12315, - "ĠGuang": 12316, - "Ġ{{": 12317, - "Ġpitched": 12318, - "Ġrice": 12319, - "Ġsyndrome": 12320, - "Ġescaped": 12321, - "Ġaggregate": 12322, - "Ġmoral": 12323, - "was": 12324, - "Ġreferend": 12325, - "Ġcentres": 12326, - "monton": 12327, - "Ġprol": 12328, - "Ġfootage": 12329, - "Ġtargets": 12330, - "Ġunlike": 12331, - "Ġraising": 12332, - "ĠMixed": 12333, - "Ġbibl": 12334, - "Ġcoached": 12335, - "arium": 12336, - "sub": 12337, - "ĠGeorgian": 12338, - "ĠBott": 12339, - "ĠCeltic": 12340, - "ĠMD": 12341, - "Ġcinem": 12342, - "Ġpermitted": 12343, - "umps": 12344, - "orum": 12345, - "Ġhills": 12346, - "Ġelevated": 12347, - "Ġplacing": 12348, - "Ġlar": 12349, - "ĠEventually": 12350, - "ĠSullivan": 12351, - "1961": 12352, - "woman": 12353, - "Ġreducing": 12354, - "ĠArd": 12355, - "named": 12356, - "Ġ<": 12357, - "Ġtechnologies": 12358, - "ĠWyoming": 12359, - "ĠPiano": 12360, - "Ġsimultaneously": 12361, - "ĠBronze": 12362, - "ĠManitoba": 12363, - "ĠGand": 12364, - "ĠTrain": 12365, - "ĠMonth": 12366, - "ĠHero": 12367, - "ĠJal": 12368, - "ĠRecent": 12369, - "Ġdisaster": 12370, - "South": 12371, - "November": 12372, - "Ġsculptor": 12373, - "osophical": 12374, - "ĠHolmes": 12375, - "Ġswitched": 12376, - "isons": 12377, - "Ġrig": 12378, - "Ġreop": 12379, - "ĠDouble": 12380, - "Ġpulled": 12381, - "Ġefficient": 12382, - "Ġreflect": 12383, - "cu": 12384, - "legraph": 12385, - "Ġframework": 12386, - "Ġmeat": 12387, - "Ġvirtual": 12388, - "ĠBeginning": 12389, - "oding": 12390, - "iour": 12391, - "andro": 12392, - "ĠHes": 12393, - "ĠClaud": 12394, - "vor": 12395, - "ĠWik": 12396, - "ĠHus": 12397, - "Ġimprisoned": 12398, - "ĠESPN": 12399, - "Ġplain": 12400, - "ĠHarm": 12401, - "Ġsitting": 12402, - "ĠScout": 12403, - "forced": 12404, - "Ġft": 12405, - "Ġchess": 12406, - "vy": 12407, - "Ġgear": 12408, - "Ġpilots": 12409, - "ĠMetal": 12410, - "ĠPlate": 12411, - "ĠOrland": 12412, - "ĠMori": 12413, - "acles": 12414, - "gary": 12415, - "GM": 12416, - "HF": 12417, - "Ġboss": 12418, - "Ġawareness": 12419, - "Ġtill": 12420, - "Ġnickname": 12421, - "ĠShield": 12422, - "ĠBark": 12423, - "ĠTanz": 12424, - "Ġlocomotive": 12425, - "Ġcoinc": 12426, - "ĠLiv": 12427, - "Ġdefender": 12428, - "Ġveteran": 12429, - "1958": 12430, - "ĠHD": 12431, - "ystem": 12432, - "ĠCurrently": 12433, - "sm": 12434, - "Ġdemands": 12435, - "ĠPlaying": 12436, - "Ġfundamental": 12437, - "third": 12438, - "sha": 12439, - "ĠGlass": 12440, - "GC": 12441, - "ĠMales": 12442, - "ĠDuncan": 12443, - "Ġcollapse": 12444, - "Ġquarterback": 12445, - "Ġshops": 12446, - "Ġsugar": 12447, - "Ġanswer": 12448, - "ĠWool": 12449, - "axy": 12450, - "Ġbombing": 12451, - "Ġcomparison": 12452, - "Ġcollaps": 12453, - "ĠBelgrade": 12454, - "manuel": 12455, - "inating": 12456, - "ĠCore": 12457, - "Ġbuses": 12458, - "Ġ1847": 12459, - "ĠXI": 12460, - "ambers": 12461, - "lez": 12462, - "Ireland": 12463, - "ĠWoods": 12464, - "ĠCR": 12465, - "ciation": 12466, - "Ġemotional": 12467, - "world": 12468, - "UN": 12469, - "ĠGymn": 12470, - "onnell": 12471, - "Ġtier": 12472, - "ĠDecl": 12473, - "kt": 12474, - "Pr": 12475, - "ĠBeet": 12476, - "ondo": 12477, - "Ġstudios": 12478, - "olics": 12479, - "ĠWatch": 12480, - "gence": 12481, - "ĠAnat": 12482, - "ĠFK": 12483, - "Ġblues": 12484, - "January": 12485, - "ĠPorts": 12486, - "Ġtheories": 12487, - "holders": 12488, - "Ġerror": 12489, - "harm": 12490, - "Ġflank": 12491, - "ĠBran": 12492, - "atin": 12493, - "ĠBrussels": 12494, - "ĠUniverse": 12495, - "Ġwidow": 12496, - "Ġorganic": 12497, - "ĠJulia": 12498, - "Ġsamples": 12499, - "Ġblind": 12500, - "oots": 12501, - "racks": 12502, - "acked": 12503, - "ĠHod": 12504, - "Ġfounders": 12505, - "ĠSou": 12506, - "ĠCalgary": 12507, - "Ġsciences": 12508, - "ĠLeslie": 12509, - "ĠKom": 12510, - "ĠStakes": 12511, - "ĠButter": 12512, - "Ġdesert": 12513, - "ĠEstonia": 12514, - "1936": 12515, - "ĠMarin": 12516, - "ĠCavalry": 12517, - "Ġoutdoor": 12518, - "avian": 12519, - "Ġhistorically": 12520, - "Ġcorps": 12521, - "iba": 12522, - "Ġchrom": 12523, - "ittees": 12524, - "Ġprince": 12525, - "ĠRA": 12526, - "Ġpromin": 12527, - "ĠPhysics": 12528, - "Ġunless": 12529, - "ĠCanterbury": 12530, - "1957": 12531, - "arry": 12532, - "ĠSoftware": 12533, - "))": 12534, - "Ġphilanthrop": 12535, - "ĠFaith": 12536, - "ĠDiet": 12537, - "Ġfeeling": 12538, - "comm": 12539, - "uku": 12540, - "Ġgathered": 12541, - "ĠTiger": 12542, - "ĠKurt": 12543, - "ĠVa": 12544, - "inery": 12545, - "Ġpap": 12546, - "Ġcartoon": 12547, - "ĠTriple": 12548, - "Ġenthus": 12549, - "Ġmeasured": 12550, - "chel": 12551, - "ĠFut": 12552, - "Ġtouchdowns": 12553, - "Ġevolved": 12554, - "Ġreserves": 12555, - "What": 12556, - "ĠLegislature": 12557, - "ĠEis": 12558, - "ĠDum": 12559, - "Ġtox": 12560, - "Ġpushed": 12561, - "ĠAndrews": 12562, - "astics": 12563, - "ĠMeet": 12564, - "Ġ1853": 12565, - "ĠSpider": 12566, - "Ġmainstream": 12567, - "Ġinstitute": 12568, - "ĠChange": 12569, - "Int": 12570, - "dorf": 12571, - "Ġthinking": 12572, - "ĠContinental": 12573, - "Ġspeakers": 12574, - "imensional": 12575, - "ĠProp": 12576, - "Ġdollars": 12577, - "Ġtub": 12578, - "ĠHopkins": 12579, - "ĠNortheast": 12580, - "imen": 12581, - "izard": 12582, - "igi": 12583, - "ĠAdvanced": 12584, - "Ital": 12585, - "ĠHonorary": 12586, - "rary": 12587, - "adh": 12588, - "Ġrifle": 12589, - "ĠLic": 12590, - "Ġphrase": 12591, - "ĠTropical": 12592, - "ĠLoss": 12593, - "onica": 12594, - "Ġdetect": 12595, - "Ġenters": 12596, - "alling": 12597, - "aders": 12598, - "Ġworn": 12599, - "oft": 12600, - "ĠMeh": 12601, - "Ġallies": 12602, - "Ġunions": 12603, - "ĠFighting": 12604, - "Ġcasualties": 12605, - "Ġthanks": 12606, - "ĠHerm": 12607, - "Ġdescendants": 12608, - "Sch": 12609, - "quet": 12610, - "ĠBrah": 12611, - "Ġexplains": 12612, - "ĠRush": 12613, - "Ġsteep": 12614, - "ĠBryan": 12615, - "oque": 12616, - "Ġranges": 12617, - "Ġatmosphere": 12618, - "intendent": 12619, - "Ġboxing": 12620, - "Ġtourist": 12621, - "Ġretreat": 12622, - "Ġworst": 12623, - "ĠArsen": 12624, - "inters": 12625, - "ĠSolomon": 12626, - "boat": 12627, - "ĠLithuanian": 12628, - "Ġsuspension": 12629, - "Ġprocedure": 12630, - "length": 12631, - "usa": 12632, - "Ġdialect": 12633, - "ateral": 12634, - "Ġvariable": 12635, - "Ġcomprehensive": 12636, - "esis": 12637, - "Ġhidden": 12638, - "ipur": 12639, - "asan": 12640, - "Ġgolden": 12641, - "Ġexhibit": 12642, - "ĠAlbania": 12643, - "ĠUniversities": 12644, - "Ġcrosses": 12645, - "Ġcoron": 12646, - "ĠHeights": 12647, - "Ġzero": 12648, - "ĠTransit": 12649, - "isting": 12650, - "Ġdocumented": 12651, - "If": 12652, - "ĠCompos": 12653, - "ĠCauc": 12654, - "Ġsharing": 12655, - "Ġinterchange": 12656, - "ĠVeter": 12657, - "ĠCun": 12658, - "Ġdoct": 12659, - "Ġhonours": 12660, - "angered": 12661, - "Ġcharacteristic": 12662, - "ĠSons": 12663, - "Ġrefugees": 12664, - "Ġprove": 12665, - "Ġdisapp": 12666, - "East": 12667, - "Ġroot": 12668, - "Ġ1846": 12669, - "ĠEdmonton": 12670, - "ĠMis": 12671, - "Ġages": 12672, - "ĠNASA": 12673, - "Ġpist": 12674, - "ipping": 12675, - "Ġassociations": 12676, - "ĠLudwig": 12677, - "ĠLon": 12678, - "Ġstake": 12679, - "Ġautomatic": 12680, - "ĠStarting": 12681, - "Ġslowly": 12682, - "rt": 12683, - "ĠRemix": 12684, - "rity": 12685, - "Ġapproaches": 12686, - "ĠBurials": 12687, - "Ġspell": 12688, - "Ġstops": 12689, - "Ġfert": 12690, - "Ġsoph": 12691, - "ĠRolling": 12692, - "Ġresiding": 12693, - "icken": 12694, - "ĠTwitter": 12695, - "ĠPR": 12696, - "ĠTat": 12697, - "ĠGuj": 12698, - "Ġpeer": 12699, - "1956": 12700, - "ĠPowell": 12701, - "iffe": 12702, - "Ġattacking": 12703, - "ĠEmma": 12704, - "1955": 12705, - "ku": 12706, - "Ġcivilians": 12707, - "Ġregister": 12708, - "Ġgrandson": 12709, - "Ġconsumption": 12710, - "Ġsocieties": 12711, - "nal": 12712, - "Ġposts": 12713, - "Ġyard": 12714, - "Ġindepend": 12715, - "Ġsporting": 12716, - "ĠNewport": 12717, - "ĠFrankfurt": 12718, - "Ġresol": 12719, - "Ġmagic": 12720, - "ĠChad": 12721, - "ĠHenderson": 12722, - "Ġprox": 12723, - "ĠClif": 12724, - "Ġremark": 12725, - "Ġinspe": 12726, - "ĠHiro": 12727, - "Ġartificial": 12728, - "1920": 12729, - "Ġsustained": 12730, - "Ġseeds": 12731, - "Ġsupplied": 12732, - "1937": 12733, - "Ġbold": 12734, - "Ġregulation": 12735, - "ĠKingston": 12736, - "ĠTheory": 12737, - "ĠRib": 12738, - "piracy": 12739, - "iott": 12740, - "ĠHull": 12741, - "ĠShadow": 12742, - "itzer": 12743, - "gart": 12744, - "ĠPlanning": 12745, - "Ġmonthly": 12746, - "Ġdifficulty": 12747, - "Ġexcellent": 12748, - "Ġkeyboard": 12749, - "ĠMuk": 12750, - "Ġfeelings": 12751, - "ĠBradley": 12752, - "lit": 12753, - "fast": 12754, - "ĠPorter": 12755, - "lies": 12756, - "erness": 12757, - "Ġsculptures": 12758, - "Ġbench": 12759, - "ĠMemphis": 12760, - "Ġibn": 12761, - "Ġcomments": 12762, - "ĠPlanet": 12763, - "Ġinstruction": 12764, - "Gu": 12765, - "ĠTyler": 12766, - "ĠVid": 12767, - "Ġverse": 12768, - "uxiliary": 12769, - "chief": 12770, - "ĠTeh": 12771, - "ĠMarri": 12772, - "Ġconnects": 12773, - "Ġencompass": 12774, - "ĠShep": 12775, - "avery": 12776, - "quiry": 12777, - "Ġcontrols": 12778, - "ĠStrat": 12779, - "ĠLeop": 12780, - "Ġreferring": 12781, - "ĠSie": 12782, - "Ġorchest": 12783, - "Ġtourism": 12784, - "Ġ\"[": 12785, - "base": 12786, - "ĠParam": 12787, - "south": 12788, - "ĠExpedition": 12789, - "Ġdrink": 12790, - "Ġentrepreneur": 12791, - "Ġfailing": 12792, - "Ġenemies": 12793, - "ĠPool": 12794, - "whe": 12795, - "ĠPseud": 12796, - "speed": 12797, - "Ġvictories": 12798, - "Ġhypothes": 12799, - "Ġtemples": 12800, - "Ġdistinctive": 12801, - "ĠEmily": 12802, - "Ġfeud": 12803, - "ĠSurrey": 12804, - "Ġovert": 12805, - "ĠMinisters": 12806, - "Ġradar": 12807, - "ĠBreak": 12808, - "phab": 12809, - "Ġtelling": 12810, - "ĠComplex": 12811, - "shi": 12812, - "Ġkilometers": 12813, - "ĠCord": 12814, - "attered": 12815, - "ĠArmstrong": 12816, - "Ġsovere": 12817, - "ĠBloom": 12818, - "mus": 12819, - "ĠBailey": 12820, - "Ġpsychology": 12821, - "entieth": 12822, - "ĠNatal": 12823, - "1942": 12824, - "ĠHighland": 12825, - "ĠLoren": 12826, - "Ġlogo": 12827, - "kees": 12828, - "ĠSpart": 12829, - "ĠMiles": 12830, - "Ġquad": 12831, - "utical": 12832, - "GS": 12833, - "Ġdiscontinued": 12834, - "ĠDirect": 12835, - "andra": 12836, - "ados": 12837, - "Ġlock": 12838, - "ĠMom": 12839, - "ĠPrincipal": 12840, - "Ġplastic": 12841, - "Ġpopulated": 12842, - "ĠOrlando": 12843, - "Ġdancer": 12844, - "ĠRichardson": 12845, - "ĠWarriors": 12846, - "600": 12847, - "Ġdistinction": 12848, - "Ġevil": 12849, - "Ġreforms": 12850, - "Sw": 12851, - "ĠAA": 12852, - "DI": 12853, - "ĠEstate": 12854, - "Ġcontracts": 12855, - "Ġhyd": 12856, - "ĠFranois": 12857, - "ĠPly": 12858, - "Ġcomedian": 12859, - "Ġforty": 12860, - "1941": 12861, - "Ġmissile": 12862, - "Ġfib": 12863, - "Ġabilities": 12864, - "rh": 12865, - "Ġmorph": 12866, - "ĠDoug": 12867, - "ĠEvangel": 12868, - "1935": 12869, - "ĠWor": 12870, - "uisine": 12871, - "ĠUz": 12872, - "Ġexperiments": 12873, - "eni": 12874, - "ĠNadu": 12875, - "ĠFerdinand": 12876, - "ĠInterior": 12877, - "Ġsupplement": 12878, - "Ġretiring": 12879, - "itro": 12880, - "Ġprogrammes": 12881, - "Ġvolunteers": 12882, - "Ġbone": 12883, - "iatric": 12884, - "ĠSlovenia": 12885, - "pid": 12886, - "Ġairline": 12887, - "Ġobjective": 12888, - "ĠHeaven": 12889, - "Ġbreeding": 12890, - "ĠDund": 12891, - "ĠQing": 12892, - "ĠBoulevard": 12893, - "Ġneighbourhood": 12894, - "omes": 12895, - "hero": 12896, - "ĠPicture": 12897, - "gebra": 12898, - "aq": 12899, - "Ġtone": 12900, - "Ġlawsuit": 12901, - "Ġprinting": 12902, - "Ġpredominantly": 12903, - "Ġgap": 12904, - "Ġthesis": 12905, - "ĠNacional": 12906, - "join": 12907, - "Ġspots": 12908, - "pes": 12909, - "stanbul": 12910, - "Ġrecruited": 12911, - "Ġdrove": 12912, - "fol": 12913, - "Ġgrid": 12914, - "ĠEugene": 12915, - "Ġtaxes": 12916, - "Ġdoctors": 12917, - "ĠAnders": 12918, - "1953": 12919, - "Ġvulner": 12920, - "Ġarrives": 12921, - "ĠTake": 12922, - "Ġfung": 12923, - "ĠKang": 12924, - "Ġimprovements": 12925, - "beat": 12926, - "Ġvow": 12927, - "ĠKad": 12928, - "Ġlooks": 12929, - "ĠGuatem": 12930, - "lay": 12931, - "ĠComplete": 12932, - "Ġparking": 12933, - "Ġcolleagues": 12934, - "Ġadministered": 12935, - "Ġathletic": 12936, - "his": 12937, - "Ġloop": 12938, - "duces": 12939, - "Ġgraduation": 12940, - "Ġaspect": 12941, - "families": 12942, - "sts": 12943, - "uper": 12944, - "Ġvoiced": 12945, - "ĠLutheran": 12946, - "Ġratings": 12947, - "Ġdiplomat": 12948, - "Ġbeetle": 12949, - "ĠCombat": 12950, - "ubb": 12951, - "ĠCaroline": 12952, - "ĠAges": 12953, - "Ġaccum": 12954, - "Ġlayout": 12955, - "Ġcave": 12956, - "ienne": 12957, - "Ġassum": 12958, - "ĠGn": 12959, - "ĠZamb": 12960, - "plete": 12961, - "ml": 12962, - "riculum": 12963, - "Ġredes": 12964, - "arius": 12965, - "essa": 12966, - "Ġtheatrical": 12967, - "ĠBradford": 12968, - "vas": 12969, - "Ġsynonym": 12970, - "Ġqueen": 12971, - "Ġautob": 12972, - "Ġhence": 12973, - "ĠLif": 12974, - "ĠHMS": 12975, - "1938": 12976, - "Ġaw": 12977, - "ĠCandid": 12978, - "raits": 12979, - "ĠTourism": 12980, - "olan": 12981, - "Ġfavorite": 12982, - "Ġannouncement": 12983, - "ĠRachel": 12984, - "Ġlaboratory": 12985, - "Ġgrave": 12986, - "ĠGenus": 12987, - "Ġaffiliate": 12988, - "bian": 12989, - "ĠAdrian": 12990, - "Ġallegations": 12991, - "horn": 12992, - "ĠChase": 12993, - "Ġwrestlers": 12994, - "ĠSpect": 12995, - "leston": 12996, - "Ġasking": 12997, - "mal": 12998, - "Ġdownload": 12999, - "designated": 13000, - "ĠOthers": 13001, - "ĠWorth": 13002, - "Ġsure": 13003, - "Ġlib": 13004, - "ĠStafford": 13005, - "iza": 13006, - "ea": 13007, - "Ġorth": 13008, - "Ġexplicit": 13009, - "Ġrelay": 13010, - "ardi": 13011, - "lect": 13012, - "Ġrapper": 13013, - "founded": 13014, - "ĠMater": 13015, - "ĠPam": 13016, - "Ġproof": 13017, - "ĠJennifer": 13018, - "ĠAI": 13019, - "Ġvariation": 13020, - "Ġpatri": 13021, - "held": 13022, - "annon": 13023, - "Ġdict": 13024, - "Ġretain": 13025, - "official": 13026, - "ĠDig": 13027, - "omar": 13028, - "ĠIgn": 13029, - "Ġconsistent": 13030, - "Ġchore": 13031, - "chez": 13032, - 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"Ġdisputes": 16795, - "ĠSutton": 16796, - "Ġelimination": 16797, - "ĠNixon": 16798, - "ĠMiddlesex": 16799, - "Ġ112": 16800, - "ĠSiege": 16801, - "inees": 16802, - "Ġdressed": 16803, - "Ġnecessarily": 16804, - "ĠToyota": 16805, - "Ġbreath": 16806, - "ĠEva": 16807, - "imation": 16808, - "ĠRag": 16809, - "iplinary": 16810, - "Ġinterfer": 16811, - "opt": 16812, - "Ġtrails": 16813, - "PG": 16814, - "Ġ(#": 16815, - "ĠLoch": 16816, - "Ġtension": 16817, - "ĠToo": 16818, - "Ġ1813": 16819, - "ĠTrial": 16820, - "ĠSally": 16821, - "Ġdense": 16822, - "ĠSwift": 16823, - "inders": 16824, - "Ġarchives": 16825, - "html": 16826, - "Ġgeographical": 16827, - "ĠRee": 16828, - "Ġpreceding": 16829, - "ĠRebell": 16830, - "Ġitem": 16831, - "ĠStrait": 16832, - "Ġcyclist": 16833, - "sz": 16834, - "tures": 16835, - "Ġkids": 16836, - "Ġverb": 16837, - "Pac": 16838, - "pal": 16839, - "series": 16840, - "ĠRust": 16841, - "Ġble": 16842, - "ĠBug": 16843, - "ĠDrug": 16844, - "Ġrings": 16845, - "cue": 16846, - "pis": 16847, - "Ġarose": 16848, - "ĠHurling": 16849, - "ĠBattles": 16850, - "ĠBonn": 16851, - "ĠTrevor": 16852, - "ĠCran": 16853, - "Ġpav": 16854, - "ĠHyder": 16855, - "ankar": 16856, - "north": 16857, - "Ġswimmer": 16858, - "ĠImport": 16859, - "VC": 16860, - "Ġmemories": 16861, - "ĠGovernorate": 16862, - "ĠHammond": 16863, - "ĠSale": 16864, - "ĠSuperman": 16865, - "ĠCanberra": 16866, - "Ġcouncillors": 16867, - "uum": 16868, - "ĠNeo": 16869, - "Ġartifacts": 16870, - "Ġmerchants": 16871, - "ĠBoss": 16872, - "ĠLLC": 16873, - "oric": 16874, - "Ġarguments": 16875, - "Ġmoon": 16876, - "Ġgates": 16877, - "Ġbonds": 16878, - "ĠKoz": 16879, - "ĠHolly": 16880, - "Ġgovernors": 16881, - "Ġtrucks": 16882, - "ĠAngela": 16883, - "ĠNordic": 16884, - "Ġconsiderably": 16885, - "Ġchallenging": 16886, - "Ġholder": 16887, - "Ġaside": 16888, - "Ġramp": 16889, - "Ġbombs": 16890, - "emia": 16891, - "ĠXavier": 16892, - "duct": 16893, - "ĠHearts": 16894, - "ĠGibral": 16895, - "Ġresponses": 16896, - "anch": 16897, - "ĠHaj": 16898, - "ĠCoaching": 16899, - "ĠChak": 16900, - "ĠLatvian": 16901, - "ensed": 16902, - "fts": 16903, - "ulla": 16904, - "ĠUSC": 16905, - "inese": 16906, - "ĠPreviously": 16907, - "ogene": 16908, - "Ġear": 16909, - "ĠDowntown": 16910, - "ĠCherry": 16911, - "iston": 16912, - "ĠDreams": 16913, - "Ġlesser": 16914, - "Ġobtaining": 16915, - "Ġecosystem": 16916, - "hears": 16917, - "Ġdirections": 16918, - "ĠRw": 16919, - "Ġcream": 16920, - "ĠTehran": 16921, - "ifferent": 16922, - "Ab": 16923, - "ĠHM": 16924, - "ĠLibya": 16925, - "Ġreviewer": 16926, - "Ġinland": 16927, - "acio": 16928, - "Ġdemonstration": 16929, - "Ġprincess": 16930, - "ibald": 16931, - "Ġindie": 16932, - "cester": 16933, - "ĠBerks": 16934, - "Ġemissions": 16935, - "landers": 16936, - "ĠInvestig": 16937, - "ĠAlbion": 16938, - "Ġelderly": 16939, - "itorium": 16940, - "yth": 16941, - "Ġballs": 16942, - "ĠHoriz": 16943, - "Ġ201314": 16944, - "ographs": 16945, - "ĠIbrahim": 16946, - "ĠVinc": 16947, - "Ġ>": 16948, - "ĠKamp": 16949, - "Ġoutlets": 16950, - "Ġcha": 16951, - "itters": 16952, - "Ġevaluation": 16953, - "ĠCaled": 16954, - "Ġtactics": 16955, - "ĠCel": 16956, - "loaded": 16957, - "ĠWimbledon": 16958, - "ĠParaguay": 16959, - "Ġmobil": 16960, - "Ġgastropod": 16961, - "around": 16962, - "ĠEvening": 16963, - "hof": 16964, - "Ġcryst": 16965, - "Ġcontracted": 16966, - "isive": 16967, - "Ġinventor": 16968, - "ĠBri": 16969, - "ĠTact": 16970, - "idy": 16971, - "Ġeconomist": 16972, - "Ġmechanics": 16973, - "ylon": 16974, - "ĠJudaism": 16975, - "hoods": 16976, - "Ġcouncils": 16977, - "elic": 16978, - "Ġapartments": 16979, - "Ġpublishers": 16980, - "ĠCSS": 16981, - "Ġlongtime": 16982, - "Ġpref": 16983, - "may": 16984, - "ĠJosef": 16985, - "dong": 16986, - "Ġpolitically": 16987, - "Ġtonn": 16988, - "ĠTud": 16989, - "venile": 16990, - "Ġtelev": 16991, - "Ġclim": 16992, - "Ġunited": 16993, - "Ġcollector": 16994, - "Ġsyll": 16995, - "ĠMayors": 16996, - "ĠPag": 16997, - "ĠNoble": 16998, - "ĠPhillies": 16999, - "Ġclimbing": 17000, - "ĠDavidson": 17001, - "enstein": 17002, - "Ġ3000": 17003, - "National": 17004, - "Ġwitnesses": 17005, - "ĠSiber": 17006, - "Ġinfer": 17007, - "Ġbutterfly": 17008, - "ĠDee": 17009, - "ĠCollections": 17010, - "antis": 17011, - "Ġdispos": 17012, - "Ġrh": 17013, - "oqu": 17014, - "ĠEmpress": 17015, - "ĠRestaur": 17016, - "ĠCheshire": 17017, - "elligent": 17018, - "Ġnaturally": 17019, - "Ġdefunct": 17020, - "ĠAdvance": 17021, - "Ġinvitation": 17022, - "ĠCarey": 17023, - "ĠBritt": 17024, - "ĠSchmidt": 17025, - "olades": 17026, - "ĠCaucas": 17027, - "Ġnavigation": 17028, - "1908": 17029, - "Ġfier": 17030, - "ĠWebster": 17031, - "ĠRule": 17032, - "Ġfault": 17033, - "ĠPied": 17034, - "ĠYak": 17035, - "Ġknight": 17036, - "ĠChev": 17037, - "Ġdonations": 17038, - "Ġenhanced": 17039, - "tail": 17040, - "ĠSeventh": 17041, - "Ġsuccessive": 17042, - "ĠFi": 17043, - "Ġicon": 17044, - "ĠVery": 17045, - "Ġprotecting": 17046, - "album": 17047, - "eward": 17048, - "Ġconsistently": 17049, - "Ġfilter": 17050, - "ĠCrim": 17051, - "Ġcircles": 17052, - "UR": 17053, - "Ġspeaks": 17054, - "ĠParamount": 17055, - "iox": 17056, - "Ġ1758": 17057, - "Ġtaste": 17058, - "antha": 17059, - "Ġsnail": 17060, - "rayed": 17061, - "NL": 17062, - "idian": 17063, - "rays": 17064, - "Ġrevolt": 17065, - "arton": 17066, - "Ġtrailer": 17067, - "jections": 17068, - "ĠOrganisation": 17069, - "Ġrecommendations": 17070, - "Ġpartnered": 17071, - "Ġamend": 17072, - "izers": 17073, - "ellation": 17074, - "hao": 17075, - "ĠFro": 17076, - "Ġpresenting": 17077, - "Ġposthumously": 17078, - "Ġtobacco": 17079, - "ĠElite": 17080, - "Ġceiling": 17081, - "ĠNH": 17082, - "Ġcertainly": 17083, - "Ġpregnancy": 17084, - "ĠGos": 17085, - "Ġexamined": 17086, - "ĠOmaha": 17087, - "Ġhealthy": 17088, - "Ġdetection": 17089, - "Ġcalculated": 17090, - "ĠHassan": 17091, - "ĠPapers": 17092, - "Ġconviction": 17093, - "ĠIcelandic": 17094, - "ĠHours": 17095, - "Ġcommercially": 17096, - "ĠVia": 17097, - "Ġrolling": 17098, - "ĠValencia": 17099, - "Ġadvancing": 17100, - "ĠBhar": 17101, - "mud": 17102, - "PD": 17103, - "ĠKnock": 17104, - "Ġamp": 17105, - "party": 17106, - "Ġdemonstrate": 17107, - "Ġvelocity": 17108, - "rguez": 17109, - "1909": 17110, - "ĠZach": 17111, - "Ġdepictions": 17112, - "ĠPrez": 17113, - "ĠNicarag": 17114, - "Ġdestroying": 17115, - "Ġdeclaration": 17116, - "Ġenterprise": 17117, - "ĠAus": 17118, - "Ġparade": 17119, - "ĠCars": 17120, - "ĠBasic": 17121, - "ĠWade": 17122, - "Ġblow": 17123, - "ĠPhotography": 17124, - "perm": 17125, - "ĠPierce": 17126, - "human": 17127, - "ocolate": 17128, - "ĠMyth": 17129, - "ĠUNESCO": 17130, - "Ġnursing": 17131, - "Ġaltar": 17132, - "ĠChu": 17133, - "ĠFow": 17134, - "ĠEmbassy": 17135, - "drama": 17136, - "Ġgentle": 17137, - "cience": 17138, - "cence": 17139, - "ĠDise": 17140, - "ĠAns": 17141, - "camp": 17142, - "Ġ201415": 17143, - "ĠEls": 17144, - "Ġdestroyer": 17145, - "Ġpresum": 17146, - "werp": 17147, - "ĠChern": 17148, - "ĠPok": 17149, - "Ġlasting": 17150, - "Ġseeks": 17151, - "Ġtap": 17152, - "ĠInvestment": 17153, - "Ġloans": 17154, - "Den": 17155, - "ĠSharon": 17156, - "ĠCON": 17157, - "ĠAnimated": 17158, - "Ġpriority": 17159, - "ĠCarson": 17160, - "Ġundergo": 17161, - "Ġdeployment": 17162, - "Ant": 17163, - "ĠTuesday": 17164, - "Ġconsumers": 17165, - "Ġachieving": 17166, - "Ġmaritime": 17167, - "Ġhighlights": 17168, - "ophys": 17169, - "ĠResort": 17170, - "ĠTuc": 17171, - "Ġbomber": 17172, - "ĠPerforming": 17173, - "alom": 17174, - "ĠDiplom": 17175, - "ĠMate": 17176, - "Ġvault": 17177, - "gent": 17178, - "ĠMunster": 17179, - "Ġreader": 17180, - "Ġdean": 17181, - "ĠOccup": 17182, - "Ġfo": 17183, - "ĠPie": 17184, - "ĠParade": 17185, - "BR": 17186, - "voy": 17187, - "arf": 17188, - "ĠLus": 17189, - "ocide": 17190, - "ĠBryant": 17191, - "ulates": 17192, - "arya": 17193, - "ĠMorm": 17194, - "Ġplural": 17195, - "ĠVul": 17196, - "ĠDunn": 17197, - "cross": 17198, - "yi": 17199, - "ĠRodrguez": 17200, - "ĠMacedonian": 17201, - "ĠLeigh": 17202, - "ĠNicol": 17203, - "oken": 17204, - "avel": 17205, - "Ġcyclone": 17206, - "ĠVatican": 17207, - "ĠBit": 17208, - "ĠCarmen": 17209, - "ĠTunnel": 17210, - "Ġgeometry": 17211, - "Ġcass": 17212, - "sim": 17213, - "ĠUd": 17214, - "apor": 17215, - "Ġ1790": 17216, - "Ġcontinuously": 17217, - "Ġrectangular": 17218, - "Ġvolcano": 17219, - "ĠSach": 17220, - "ĠMohamed": 17221, - "atty": 17222, - "arsity": 17223, - "Ġsor": 17224, - "Ġcostume": 17225, - "Ġdefic": 17226, - "songwriters": 17227, - "Ġcello": 17228, - "Ġorganize": 17229, - "uria": 17230, - "chid": 17231, - "ĠEvan": 17232, - "ĠClem": 17233, - "ext": 17234, - "ĠAug": 17235, - "Ġmaj": 17236, - "oub": 17237, - "ĠHyd": 17238, - "Ġpel": 17239, - "ipes": 17240, - "otti": 17241, - "Ġdys": 17242, - "ĠSixth": 17243, - "Ġequality": 17244, - "Ġingred": 17245, - "ĠAppeal": 17246, - "Pol": 17247, - "edded": 17248, - "Ġmillions": 17249, - "ĠKens": 17250, - "ĠMarina": 17251, - "gren": 17252, - "Ġcommanders": 17253, - "Ġaus": 17254, - "ometer": 17255, - "ĠSep": 17256, - "ulia": 17257, - "arna": 17258, - "Ġtrick": 17259, - "enko": 17260, - "Ġ1818": 17261, - "umann": 17262, - "TO": 17263, - "titled": 17264, - "Ġtheaters": 17265, - "Old": 17266, - "RNA": 17267, - "Ġstarter": 17268, - "ĠKatherine": 17269, - "ĠTill": 17270, - "Ġ201112": 17271, - "ĠKolkata": 17272, - "ĠVed": 17273, - "iban": 17274, - "Ġnarrowly": 17275, - "Connor": 17276, - "Ġfragments": 17277, - "ĠJohan": 17278, - "ĠSanskrit": 17279, - "omers": 17280, - "Ġaudition": 17281, - "Ġtestimony": 17282, - "ĠZhu": 17283, - "ĠTD": 17284, - "Ġmask": 17285, - "ĠPatrol": 17286, - "Ġerrors": 17287, - "ĠSynopsis": 17288, - "ĠGujarat": 17289, - "Ġ201516": 17290, - "ĠSanders": 17291, - "Ġbatted": 17292, - "Ġpurple": 17293, - "Ġplanes": 17294, - "Ġmolecules": 17295, - "ĠPorto": 17296, - "ĠSolid": 17297, - "ĠStad": 17298, - "Ġcord": 17299, - "Ġslot": 17300, - "omore": 17301, - "ĠGalaxy": 17302, - "enb": 17303, - "Ġallied": 17304, - "ĠArabian": 17305, - "inski": 17306, - "ĠNO": 17307, - "Ġbounded": 17308, - "Ġvolcanic": 17309, - "ĠLorenzo": 17310, - "ogh": 17311, - "ĠGibraltar": 17312, - "Ġguided": 17313, - "Ġprominence": 17314, - "ĠInnovation": 17315, - "Ġfus": 17316, - "inded": 17317, - "ĠShirley": 17318, - "ylogen": 17319, - "Ġcommentator": 17320, - "Ġneighborhoods": 17321, - "ĠGeographic": 17322, - "Ġ1822": 17323, - "ĠAllMusic": 17324, - "ĠBolog": 17325, - "Ġfiscal": 17326, - "ĠSummary": 17327, - "Ġurged": 17328, - "ĠMining": 17329, - "Family": 17330, - "ĠPartners": 17331, - "Ġharbour": 17332, - "Ġnights": 17333, - "enov": 17334, - "ĠStro": 17335, - "Ġvariables": 17336, - "ĠNut": 17337, - "verage": 17338, - "rut": 17339, - "ĠBrow": 17340, - "ĠWanderers": 17341, - "ĠVijay": 17342, - "ierre": 17343, - "ommission": 17344, - "ĠClube": 17345, - "Ġwarned": 17346, - "Ġsaving": 17347, - "ĠTownships": 17348, - "ĠWheel": 17349, - "Ġquit": 17350, - "Ġtune": 17351, - "ĠDuck": 17352, - "ĠVor": 17353, - "Ġglob": 17354, - "ĠZur": 17355, - "Ġskiing": 17356, - "ĠWinchester": 17357, - "Ġcinemat": 17358, - "ĠClyde": 17359, - "abs": 17360, - "ĠHonors": 17361, - "Ġremarkable": 17362, - "Let": 17363, - "rible": 17364, - "Ġamendment": 17365, - "riot": 17366, - "ĠIrving": 17367, - "Ġfare": 17368, - "Ġcontrolling": 17369, - "ĠDust": 17370, - "anus": 17371, - "Ġflee": 17372, - "Ġodd": 17373, - "ĠStir": 17374, - "ĠBram": 17375, - "ĠHaiti": 17376, - "Ġfactories": 17377, - "LD": 17378, - "fund": 17379, - "Ġproclaimed": 17380, - "Ġlateral": 17381, - "Ġthread": 17382, - "ĠInitiative": 17383, - "ĠKuwait": 17384, - "ĠShot": 17385, - "ĠMaple": 17386, - "Ġleather": 17387, - "Ġmeasurement": 17388, - "ĠMoroccan": 17389, - "ramid": 17390, - "Ġautomobile": 17391, - "aland": 17392, - "ĠGov": 17393, - "ĠScandin": 17394, - "Ġharsh": 17395, - "Ġhectares": 17396, - "pler": 17397, - "Ġporn": 17398, - "ĠChambers": 17399, - "Ġintroducing": 17400, - "ertation": 17401, - "ĠElder": 17402, - "fordshire": 17403, - "Ġtradem": 17404, - "ĠPeterson": 17405, - "Ġbelieving": 17406, - "iseries": 17407, - "ographed": 17408, - "national": 17409, - "mere": 17410, - "tel": 17411, - "reens": 17412, - "ĠOv": 17413, - "Ġ!!": 17414, - "Ġprofessionally": 17415, - "ĠArlington": 17416, - "Dr": 17417, - "ascular": 17418, - "Ġfossils": 17419, - "ĠIbn": 17420, - "auth": 17421, - "Ġneur": 17422, - "Ġviolation": 17423, - "ĠShane": 17424, - "Ġcooking": 17425, - "anco": 17426, - "ĠTac": 17427, - "ĠSavage": 17428, - "Ġlocals": 17429, - "issued": 17430, - "Ġtickets": 17431, - "ĠPaw": 17432, - "hampton": 17433, - "ewater": 17434, - "ĠClear": 17435, - "ĠKunst": 17436, - "etus": 17437, - "number": 17438, - "det": 17439, - "ĠAster": 17440, - "Ġaccounting": 17441, - "ĠLC": 17442, - "Ġcomplications": 17443, - "ĠGle": 17444, - "ĠMcCarthy": 17445, - "aise": 17446, - "usz": 17447, - "Ġprosecution": 17448, - "Ġstamp": 17449, - "ĠEthiopian": 17450, - "pse": 17451, - "ĠTale": 17452, - "ĠRex": 17453, - "Ġ1816": 17454, - "ĠZam": 17455, - "Ġaccommodation": 17456, - "Ġobjectives": 17457, - "Ġdrunk": 17458, - "beit": 17459, - "good": 17460, - "Gold": 17461, - "ĠVikings": 17462, - "European": 17463, - "ĠGlory": 17464, - "ĠMole": 17465, - "Ġdealt": 17466, - "ĠPhillip": 17467, - "Ġscout": 17468, - "Ġpropri": 17469, - "ĠMIT": 17470, - "ril": 17471, - "ĠInvestigation": 17472, - "Ġdegrad": 17473, - "ĠBulls": 17474, - "ĠRead": 17475, - "ĠGoals": 17476, - "Ġbarn": 17477, - "Ġcarriers": 17478, - "Ġcomparable": 17479, - "ĠHear": 17480, - "Ġmastering": 17481, - "ĠCharg": 17482, - "Ġcomplaints": 17483, - "Ġfortune": 17484, - "ĠEthnic": 17485, - "ĠMercedes": 17486, - "ĠCollegiate": 17487, - "zens": 17488, - "Ġspelled": 17489, - "ĠAuburn": 17490, - "sson": 17491, - "Ġinherit": 17492, - "teau": 17493, - "heads": 17494, - "Ġspotted": 17495, - "Ġrecreation": 17496, - "ĠPup": 17497, - "Ġfreshman": 17498, - "footballer": 17499, - "Ġorganizing": 17500, - "ĠClarence": 17501, - "ĠHapp": 17502, - ")(": 17503, - "Ġirrig": 17504, - "ĠKee": 17505, - "strumental": 17506, - "Ġcivic": 17507, - "Ġadvocacy": 17508, - "Mon": 17509, - "1905": 17510, - "ĠWillis": 17511, - "olithic": 17512, - "San": 17513, - "ĠTibetan": 17514, - "ĠSpot": 17515, - "Ġgalleries": 17516, - "Ġelectronics": 17517, - "ĠHawaiian": 17518, - "ĠGC": 17519, - "ĠLambert": 17520, - "neys": 17521, - "ĠGel": 17522, - "ĠNewark": 17523, - "ĠSharp": 17524, - "ĠMcLe": 17525, - "emberg": 17526, - "Ġoverth": 17527, - "rika": 17528, - "ĠDawson": 17529, - "ynes": 17530, - "Ġumb": 17531, - "sover": 17532, - "1907": 17533, - "Reg": 17534, - "ĠAthen": 17535, - "ĠGM": 17536, - "umble": 17537, - "ĠPhilharmonic": 17538, - "enheim": 17539, - "ĠMetac": 17540, - "Hol": 17541, - "Ġdiscipl": 17542, - "ĠFischer": 17543, - "Ġpenn": 17544, - "ĠRoster": 17545, - "occup": 17546, - "Ġ202021": 17547, - "school": 17548, - "ĠGarn": 17549, - "Ġgly": 17550, - "Ġchains": 17551, - "Ġverses": 17552, - "ĠMonster": 17553, - "Ġflies": 17554, - "ĠAmanda": 17555, - "Ġtong": 17556, - "ĠLj": 17557, - "Ġtrustees": 17558, - "ĠBates": 17559, - "Ġwishes": 17560, - "ardy": 17561, - "Ġharvest": 17562, - "ĠBeautiful": 17563, - "ĠBrigadier": 17564, - "ĠBold": 17565, - "Ġproceeds": 17566, - "Ġsprint": 17567, - "aird": 17568, - "Ġtruly": 17569, - "acking": 17570, - "ĠCz": 17571, - "Ġsupern": 17572, - "Ġairports": 17573, - "Ġaccuracy": 17574, - "ĠCredits": 17575, - "igu": 17576, - "Ġorganisms": 17577, - "ĠLindsay": 17578, - "Ġlengths": 17579, - "ĠShell": 17580, - "along": 17581, - "Ġcareers": 17582, - "ĠPolytechn": 17583, - "Ġwartime": 17584, - "tw": 17585, - "ĠSiles": 17586, - "ĠMaking": 17587, - "Ġuprising": 17588, - "ĠTou": 17589, - "ĠSustain": 17590, - "ĠXin": 17591, - "Ġlacked": 17592, - "park": 17593, - "missions": 17594, - "ĠDundee": 17595, - "venues": 17596, - "Ġell": 17597, - "ĠWave": 17598, - "Ġcertification": 17599, - "ĠInner": 17600, - "ĠAgnes": 17601, - "King": 17602, - "ĠThing": 17603, - "ĠMk": 17604, - "ĠLands": 17605, - "esi": 17606, - "Ġovercome": 17607, - "ĠBenson": 17608, - "Ġgovernance": 17609, - "ĠLO": 17610, - "Ġsquadrons": 17611, - "ĠDerbyshire": 17612, - "Ġtar": 17613, - "ĠAgent": 17614, - "Ġobvious": 17615, - "ĠNiz": 17616, - "Ġequity": 17617, - "ĠMatthews": 17618, - "kie": 17619, - "ĠHin": 17620, - "ĠHuang": 17621, - "ichael": 17622, - "ĠMller": 17623, - "igger": 17624, - "urgical": 17625, - "amen": 17626, - "ĠFol": 17627, - "Ġmeter": 17628, - "ĠTerritorial": 17629, - "Ġadvisory": 17630, - "ĠMongolia": 17631, - "Ġmirror": 17632, - "thon": 17633, - "Ġleased": 17634, - "Ġcorrespondent": 17635, - "ĠIch": 17636, - "onel": 17637, - "ĠHos": 17638, - "ĠTimeline": 17639, - "ĠCornel": 17640, - "Ġ1827": 17641, - "Ġprovider": 17642, - "ĠCod": 17643, - "ĠAndroid": 17644, - "orrect": 17645, - "ĠDeleg": 17646, - "ĠEvil": 17647, - "iliation": 17648, - "ĠPolbot": 17649, - "Ġlaser": 17650, - "Ġdevelops": 17651, - "ĠPractice": 17652, - "Ġdoctoral": 17653, - "Ġterminated": 17654, - "mese": 17655, - "ĠLope": 17656, - "Ġvaccine": 17657, - "ieg": 17658, - "ubble": 17659, - "Ġwit": 17660, - "Ġtrafficking": 17661, - "Ġnotion": 17662, - "Ġradi": 17663, - "Ġinvested": 17664, - "ĠClayton": 17665, - "unta": 17666, - "ĠFry": 17667, - "nty": 17668, - "Ġserver": 17669, - "nar": 17670, - "Ġtouc": 17671, - "rones": 17672, - "ĠTracy": 17673, - "ĠEden": 17674, - "ĠGloria": 17675, - "ĠAve": 17676, - "Ġdetected": 17677, - "Ġreflects": 17678, - "ĠTort": 17679, - "Ġrod": 17680, - "Ġintact": 17681, - "ĠFram": 17682, - "Ġelaborate": 17683, - "ĠGob": 17684, - "UT": 17685, - "ĠMickey": 17686, - "Ġbarrier": 17687, - "ĠSW": 17688, - "Ġrubber": 17689, - "placed": 17690, - "Ġlens": 17691, - "ĠTap": 17692, - "ĠWare": 17693, - "riz": 17694, - "Ġsurveillance": 17695, - "Bel": 17696, - "Ġpenalties": 17697, - "ĠStoke": 17698, - "Ġcater": 17699, - "ĠWyn": 17700, - "Ġfinalist": 17701, - "won": 17702, - "ocaly": 17703, - "Ġpreceded": 17704, - "ĠFalcon": 17705, - "Ġcontents": 17706, - "Ġtasked": 17707, - "ĠCunning": 17708, - "ĠAbbas": 17709, - "Ġappreci": 17710, - "ĠCM": 17711, - "ĠBuddha": 17712, - "ĠDevils": 17713, - "Ġspur": 17714, - "ĠReviews": 17715, - "Ġcomputing": 17716, - "Ġpipe": 17717, - "Ġsolve": 17718, - "Ġenlarged": 17719, - "ĠBucharest": 17720, - "ĠSeth": 17721, - "Ġcease": 17722, - "Ġstrain": 17723, - "ĠTitans": 17724, - "Ġextract": 17725, - "plus": 17726, - "late": 17727, - "ulin": 17728, - "Ġacceptance": 17729, - "Ġcomplicated": 17730, - "ĠHollow": 17731, - "lected": 17732, - "ĠDudley": 17733, - "bgcolor": 17734, - "Ġ202122": 17735, - "Ġta": 17736, - "Ġsubstitut": 17737, - "icol": 17738, - "ĠAbdullah": 17739, - "ĠGhanaian": 17740, - "iew": 17741, - "ĠGandhi": 17742, - "SM": 17743, - "Ġcommerce": 17744, - "anions": 17745, - "Ġavailability": 17746, - "Ġsecretly": 17747, - "jord": 17748, - "ĠExc": 17749, - "ĠOlive": 17750, - "ĠHyde": 17751, - "unnels": 17752, - "ĠTaipei": 17753, - "Ġprojected": 17754, - "ĠPill": 17755, - "ĠAlps": 17756, - "1906": 17757, - "ourage": 17758, - "odyn": 17759, - "Ġwalks": 17760, - "Ġspite": 17761, - "Ġstruggles": 17762, - "Ġdisk": 17763, - "Ġmodest": 17764, - "voiced": 17765, - "Ġconsciousness": 17766, - "ĠMons": 17767, - "Ġ201011": 17768, - "NO": 17769, - "ĠEmmanuel": 17770, - "otypic": 17771, - "ĠIber": 17772, - "ifolia": 17773, - "ropolis": 17774, - "Ġcorrespondence": 17775, - "Ġoversee": 17776, - "Ġnave": 17777, - "Ġdrown": 17778, - "Ġconvey": 17779, - "Ġinquiry": 17780, - "ĠJet": 17781, - "Ġsoprano": 17782, - "ĠTheological": 17783, - "itian": 17784, - "iso": 17785, - "esque": 17786, - "ĠJh": 17787, - "ĠJamaican": 17788, - "Ġ113": 17789, - "Ġsends": 17790, - "Ġrecount": 17791, - "Ġamalg": 17792, - "Ġwitnessed": 17793, - "ĠMist": 17794, - "nick": 17795, - "Ġgraduates": 17796, - "Ġresolved": 17797, - "ĠPrairie": 17798, - "Ġinvaded": 17799, - "children": 17800, - "itsu": 17801, - "Ġlith": 17802, - "Ġsuspect": 17803, - "Ġcruise": 17804, - "Ġ\"\"": 17805, - "ĠKak": 17806, - "EG": 17807, - "adic": 17808, - "Ġscreened": 17809, - "Ġcharted": 17810, - "Ġ1819": 17811, - "ĠPatterson": 17812, - "ĠTracks": 17813, - "ĠPerm": 17814, - "ĠNest": 17815, - "Ġfundra": 17816, - "ĠMB": 17817, - "ĠInver": 17818, - "Ġ1801": 17819, - "ĠMagazines": 17820, - "Ġmouse": 17821, - "Ġskiers": 17822, - "Ġdil": 17823, - "Ġchaired": 17824, - "Ġje": 17825, - "Ġreliable": 17826, - "ĠCommunities": 17827, - "ĠHastings": 17828, - "gon": 17829, - "ĠSain": 17830, - "Ġbarri": 17831, - "ingers": 17832, - "Ġdecorations": 17833, - "ĠKurdish": 17834, - "Ġ?": 17835, - "Ġanarch": 17836, - "ĠMagdal": 17837, - "ĠRescue": 17838, - "lantic": 17839, - "ĠAntwerp": 17840, - "ĠDiss": 17841, - "ĠBR": 17842, - "ĠOmar": 17843, - "ĠJoey": 17844, - "ĠAutonomous": 17845, - "Ġfusion": 17846, - "Ġadmission": 17847, - "Ġspeeds": 17848, - "Ġpier": 17849, - "Ġdishes": 17850, - "Ġric": 17851, - "ĠCongressional": 17852, - "ĠDuff": 17853, - "ĠSob": 17854, - "Ġfed": 17855, - "ĠPearson": 17856, - "cies": 17857, - "Ġmeteor": 17858, - "Ġvoluntary": 17859, - "ĠAmar": 17860, - "Ġautobiography": 17861, - "Ġairfield": 17862, - "Ġresur": 17863, - "ĠWeight": 17864, - "rape": 17865, - "owo": 17866, - "203": 17867, - "kind": 17868, - "Ġunanimous": 17869, - "ĠGloucester": 17870, - "Ġ1823": 17871, - "ĠCic": 17872, - "ĠGior": 17873, - "ĠColleges": 17874, - "ĠLuck": 17875, - "ounce": 17876, - "Ġbicycle": 17877, - "ĠStrange": 17878, - "Ġspelling": 17879, - "isure": 17880, - "Ġinsurg": 17881, - "bfb": 17882, - "ĠCanon": 17883, - "ĠTravis": 17884, - "rep": 17885, - "ĠFres": 17886, - "ĠSchn": 17887, - "Ġspy": 17888, - "ĠValle": 17889, - "ĠFernand": 17890, - "ĠCompar": 17891, - "Ġcum": 17892, - "cutta": 17893, - "Ġcrews": 17894, - "Ġscreening": 17895, - "ĠDA": 17896, - "Ġproviders": 17897, - "ĠThorn": 17898, - "Ġmodes": 17899, - "ĠLump": 17900, - "ogenic": 17901, - "ogie": 17902, - "Ġboot": 17903, - "ĠEnc": 17904, - "ĠAreas": 17905, - "osion": 17906, - "soon": 17907, - "ĠMeeting": 17908, - "bye": 17909, - "Ġshells": 17910, - "Ġenacted": 17911, - "ĠProperty": 17912, - "Ġrisks": 17913, - "Ġ128": 17914, - "ĠRak": 17915, - "Ġcontrad": 17916, - "Ġtrace": 17917, - "Ġknowing": 17918, - "ĠReverend": 17919, - "Ġperception": 17920, - "orio": 17921, - "yrgy": 17922, - "Ġmont": 17923, - "font": 17924, - "ĠCouncill": 17925, - "ĠCoventry": 17926, - "mitt": 17927, - "Ġsalv": 17928, - "Ġbush": 17929, - "Ġjudgment": 17930, - "ĠTarg": 17931, - "ĠMO": 17932, - "flow": 17933, - "etian": 17934, - "Ġoperas": 17935, - "Ġstaying": 17936, - "eping": 17937, - "Ġthrowing": 17938, - "ĠMord": 17939, - "ĠHag": 17940, - "ĠEuc": 17941, - "Ġmarketed": 17942, - "ĠTwins": 17943, - "ĠCarpenter": 17944, - "ĠHyderabad": 17945, - "NG": 17946, - "ĠThur": 17947, - "lesh": 17948, - "ivided": 17949, - "Ġmetaph": 17950, - "igm": 17951, - "Ġsummon": 17952, - "Ġeliminate": 17953, - "Ġlifted": 17954, - "ensions": 17955, - "ushi": 17956, - "represent": 17957, - "ĠCountess": 17958, - "Out": 17959, - "Ġsketch": 17960, - "Ġexhaust": 17961, - "Ġcapability": 17962, - "ĠLingu": 17963, - "Ġloose": 17964, - "Ġdust": 17965, - "Ġphilosophical": 17966, - "ĠMou": 17967, - "Ġdissolution": 17968, - "Ac": 17969, - "Ġpneum": 17970, - "Ġcanceled": 17971, - "rust": 17972, - "ĠTate": 17973, - "unders": 17974, - "ĠArcher": 17975, - "With": 17976, - "Ġtelesc": 17977, - "ongo": 17978, - "ĠDana": 17979, - "keys": 17980, - "Ġinterference": 17981, - "ĠCT": 17982, - "name": 17983, - "ĠReagan": 17984, - "urus": 17985, - "ignty": 17986, - "Bar": 17987, - "Ġinsisted": 17988, - "Ġbackup": 17989, - "Ġnoticed": 17990, - "ĠBelow": 17991, - "ĠDuchess": 17992, - "Ġtransmitter": 17993, - "Ġloaned": 17994, - "Ġreinforced": 17995, - "ĠJesuit": 17996, - "Ġmills": 17997, - "ĠVariety": 17998, - "Ġ($": 17999, - "Ġdecommission": 18000, - "grass": 18001, - "Ġdiagnosis": 18002, - "Ġlecture": 18003, - "ĠFritz": 18004, - "Ġcognitive": 18005, - "ĠVerde": 18006, - "ĠDresden": 18007, - "igon": 18008, - "Ġadds": 18009, - "hell": 18010, - "ovsk": 18011, - "ryn": 18012, - "Ġamphib": 18013, - "Ġcelebrity": 18014, - "Nor": 18015, - "Dem": 18016, - "ĠLandmarks": 18017, - "ĠWire": 18018, - "ĠWriter": 18019, - "Ġexercises": 18020, - "Ġimmigrant": 18021, - "ĠAttack": 18022, - "ycl": 18023, - "Ġseating": 18024, - "Ġreunited": 18025, - "rade": 18026, - "ovic": 18027, - "Ġproc": 18028, - "Ġluxury": 18029, - "league": 18030, - "ĠBoul": 18031, - "Ġinterrupted": 18032, - "obic": 18033, - "ĠShire": 18034, - "ĠRebellion": 18035, - "ĠMonastery": 18036, - "ĠCarmel": 18037, - "Ġlanes": 18038, - "onge": 18039, - "ischen": 18040, - "inction": 18041, - "ĠBrady": 18042, - "ĠBaj": 18043, - "ĠPasc": 18044, - "oren": 18045, - "ĠVeterans": 18046, - "ĠReference": 18047, - "ĠCliff": 18048, - "ĠAmbassadors": 18049, - "ĠJerome": 18050, - "reshold": 18051, - "abis": 18052, - "ĠWien": 18053, - "abulary": 18054, - "rospective": 18055, - "rar": 18056, - "ĠGiant": 18057, - "ĠTeaching": 18058, - "ĠFitzg": 18059, - "Ġsizes": 18060, - "Ġsou": 18061, - "Ġcanoe": 18062, - "ĠBasque": 18063, - "PI": 18064, - "Ġ~": 18065, - "chich": 18066, - "Ġdorm": 18067, - "Ġplaque": 18068, - "mand": 18069, - "Ġdemo": 18070, - "ĠSites": 18071, - "comed": 18072, - "Ġsuperhero": 18073, - "ĠHonda": 18074, - "Ġhiding": 18075, - "islav": 18076, - "ĠFrontier": 18077, - "Ġ1817": 18078, - "Ġviewing": 18079, - "endra": 18080, - "ĠWak": 18081, - "Ġanthe": 18082, - "ĠCBC": 18083, - "itational": 18084, - "Ġgest": 18085, - "ĠClaus": 18086, - "ĠAdj": 18087, - "Ġpianists": 18088, - "ĠWilliamson": 18089, - "Ġjumping": 18090, - "prov": 18091, - "ĠSalis": 18092, - "ĠStalin": 18093, - "ostic": 18094, - "ĠGalway": 18095, - "ĠFlat": 18096, - "Ġsued": 18097, - "Ġrequests": 18098, - "idia": 18099, - "ĠClinical": 18100, - "igl": 18101, - "ĠCey": 18102, - "ĠBrett": 18103, - "Ġinscriptions": 18104, - "Ġalpine": 18105, - "ĠTil": 18106, - "ĠHonduras": 18107, - "ĠWolfgang": 18108, - "ĠBeast": 18109, - "130": 18110, - "ĠKub": 18111, - "Ġsemin": 18112, - "Ġshrine": 18113, - "1901": 18114, - "bay": 18115, - "Ġillustrator": 18116, - "ĠJenny": 18117, - "Ġpottery": 18118, - "ĠCoc": 18119, - "ashing": 18120, - "Ġmachinery": 18121, - "ĠMai": 18122, - "ĠBound": 18123, - "Ġkin": 18124, - "Ġsad": 18125, - "ĠBlind": 18126, - "Ġfinite": 18127, - "ĠMarcos": 18128, - "ĠKov": 18129, - "Ġdetention": 18130, - "ĠCompetitors": 18131, - "gt": 18132, - "ĠBihar": 18133, - "Ġdelegate": 18134, - "Ġvoltage": 18135, - "ĠGenesis": 18136, - "jar": 18137, - "ĠEntry": 18138, - "Ġlas": 18139, - "opters": 18140, - "ĠAnimals": 18141, - "ĠMonthly": 18142, - "agara": 18143, - "1903": 18144, - "Ġconson": 18145, - "ĠElena": 18146, - "ĠEnsemble": 18147, - "ĠBetter": 18148, - "Ġcritically": 18149, - "Em": 18150, - "ĠYah": 18151, - "warf": 18152, - "ĠBusinesspeople": 18153, - "ĠKannada": 18154, - "ocus": 18155, - "Ġfacts": 18156, - "ĠCot": 18157, - "ĠHolt": 18158, - "ĠDram": 18159, - "ĠCoastal": 18160, - "ĠBarton": 18161, - "Ġopinions": 18162, - "ainted": 18163, - "Ġaddresses": 18164, - "Ġdrainage": 18165, - "rowing": 18166, - "ĠCedar": 18167, - "ĠGerm": 18168, - "ĠScientists": 18169, - "Ġportfolio": 18170, - "Ġframes": 18171, - "ĠGastropods": 18172, - "Ġphilosophers": 18173, - "Ġconsecrated": 18174, - "ND": 18175, - "akala": 18176, - "Ġundertook": 18177, - "ebe": 18178, - "VR": 18179, - "breaking": 18180, - "ĠCaesar": 18181, - "Ġcarn": 18182, - "ĠSingers": 18183, - "strm": 18184, - "ĠQuant": 18185, - "Ġdropping": 18186, - "ĠCarbon": 18187, - "enne": 18188, - "ĠCharity": 18189, - "asive": 18190, - "ĠAless": 18191, - "ĠCollabor": 18192, - 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"wrote": 18246, - "Ġbowling": 18247, - "Ġ1803": 18248, - "Ġcaf": 18249, - "Ġcontacts": 18250, - "erical": 18251, - "ĠBhut": 18252, - "sein": 18253, - "Ġdimension": 18254, - "ĠConcept": 18255, - "ĠSok": 18256, - "ĠMW": 18257, - "ĠChes": 18258, - "ĠCalcutta": 18259, - "ĠTobago": 18260, - "Fl": 18261, - "ĠNothing": 18262, - "Ġdorsal": 18263, - "cend": 18264, - "Ġhanging": 18265, - "ĠBian": 18266, - "Ġlicence": 18267, - "Ġslope": 18268, - "ĠLug": 18269, - "adan": 18270, - "Ġorphan": 18271, - "ĠFigure": 18272, - "ĠConservatory": 18273, - "Ġinstitutional": 18274, - "cken": 18275, - "Ġmetall": 18276, - "Ġsank": 18277, - "aft": 18278, - "ĠClassics": 18279, - "ungen": 18280, - "Ġunity": 18281, - "Ġcatalogue": 18282, - "ĠDeal": 18283, - "Ġremake": 18284, - "Ġwards": 18285, - "Ġshowc": 18286, - "ĠCyn": 18287, - "Ġderives": 18288, - "Ġbrass": 18289, - "Ġ1806": 18290, - "Ġcommunes": 18291, - "Ġdestroyers": 18292, - "ĠClubs": 18293, - "vern": 18294, - "ĠCarlton": 18295, - "Ġcelebrations": 18296, - "heid": 18297, - 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"pace": 19115, - "osi": 19116, - "illas": 19117, - "Ġskilled": 19118, - "Ġheating": 19119, - "hesis": 19120, - "ĠSpy": 19121, - "Ġenerg": 19122, - "ĠSomalia": 19123, - "Ġbiographical": 19124, - "ĠLeh": 19125, - "ska": 19126, - "Ġ202223": 19127, - "ĠRajast": 19128, - "itone": 19129, - "ĠListed": 19130, - "Ġevacuated": 19131, - "ĠRegina": 19132, - "ĠPrec": 19133, - "ĠOval": 19134, - "issues": 19135, - "Ġdome": 19136, - "ĠFors": 19137, - "Ġsongwriting": 19138, - "Ġ135": 19139, - "ĠHowe": 19140, - "Ġbund": 19141, - "ĠVera": 19142, - "featuring": 19143, - "Arch": 19144, - "Ġprevention": 19145, - "Ġlacking": 19146, - "bons": 19147, - "Ġteenager": 19148, - "ĠCaval": 19149, - "Ġ170": 19150, - "arro": 19151, - "ĠBant": 19152, - "thor": 19153, - "orno": 19154, - "ousand": 19155, - "ĠCeylon": 19156, - "ogi": 19157, - "ĠPter": 19158, - "ĠTae": 19159, - "ĠHague": 19160, - "bug": 19161, - "Ġmelody": 19162, - "Ġaesthetic": 19163, - "Ġpodium": 19164, - "Ġdisqual": 19165, - "letter": 19166, - "Ġstrictly": 19167, - 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"ĠFitzgerald": 19219, - "ĠRivera": 19220, - "Ġretaining": 19221, - "ĠAssess": 19222, - "vir": 19223, - "ĠKut": 19224, - "ĠGloucestershire": 19225, - "eyer": 19226, - "ĠByr": 19227, - "Ġdefeats": 19228, - "Ġpeaking": 19229, - "Ġinterrog": 19230, - "anu": 19231, - "Ġmaneu": 19232, - "Ġcontempor": 19233, - "Ġdreams": 19234, - "yards": 19235, - "ĠInteractive": 19236, - "ĠRath": 19237, - "sung": 19238, - "ĠBehind": 19239, - "hole": 19240, - "Ġbail": 19241, - "Ġnas": 19242, - "fal": 19243, - "Ġreformed": 19244, - "Ġhiatus": 19245, - "herty": 19246, - "Ġseasonal": 19247, - "authored": 19248, - "Ġcorporations": 19249, - "ĠJules": 19250, - "Ġconsolidated": 19251, - "iele": 19252, - "Ġwoods": 19253, - "eaux": 19254, - "onga": 19255, - "Ġchromos": 19256, - "Ġprogressed": 19257, - "Ġturt": 19258, - "Ġdemolition": 19259, - "ĠColts": 19260, - "ĠNamed": 19261, - "Ġboom": 19262, - "ĠHandball": 19263, - "ĠSimmons": 19264, - "Ġdischarge": 19265, - "ĠChero": 19266, - "ĠBeir": 19267, - "ĠPras": 19268, - "dict": 19269, - "EEE": 19270, - "owners": 19271, - "ĠGreenwich": 19272, - "ĠLatter": 19273, - "ĠCricketers": 19274, - "ĠRahman": 19275, - "icals": 19276, - "Ġpaths": 19277, - "Ġ1802": 19278, - "ĠFernndez": 19279, - "Ġstamps": 19280, - "brother": 19281, - "Ġplatinum": 19282, - "ĠShepherd": 19283, - "ĠPeg": 19284, - "Ġconstituted": 19285, - "Ġcloth": 19286, - "osaurs": 19287, - "Ġriot": 19288, - "tier": 19289, - "Ġprolific": 19290, - "ĠGerard": 19291, - "Ġcountryside": 19292, - "ĠLuft": 19293, - "Ġstrongest": 19294, - "ĠGru": 19295, - "Ġminers": 19296, - "Ġviola": 19297, - "ĠTeresa": 19298, - "ĠDru": 19299, - "Ġ1789": 19300, - "ĠWaterloo": 19301, - "Ġethics": 19302, - "ĠIntern": 19303, - "Ġsixty": 19304, - "Chief": 19305, - "Ġwelcomed": 19306, - "Ġaunt": 19307, - "acker": 19308, - ")||": 19309, - "ĠInsp": 19310, - "ĠGros": 19311, - "ĠRonnie": 19312, - "Ġvalued": 19313, - "ĠUltra": 19314, - "Ġactivism": 19315, - "ĠElectronics": 19316, - "olves": 19317, - "Ġpeaks": 19318, - "ĠResolution": 19319, - "Ġprofits": 19320, - "Ġcylinder": 19321, - "ĠWalton": 19322, - "Ġpolymer": 19323, - "Ġintegrity": 19324, - "ĠCatalonia": 19325, - "ĠWah": 19326, - "uds": 19327, - "Ġmodifications": 19328, - "fu": 19329, - "ĠQuarterly": 19330, - "FO": 19331, - "ĠRO": 19332, - "ĠActivities": 19333, - "ĠCable": 19334, - "Ġasteroid": 19335, - "Ġidentifying": 19336, - "ĠSteelers": 19337, - "Mr": 19338, - "ĠDonna": 19339, - "Ġultimate": 19340, - "odied": 19341, - "Ġ200809": 19342, - "Ġprecise": 19343, - "aires": 19344, - "ĠLill": 19345, - "producer": 19346, - "itate": 19347, - "Ġmonk": 19348, - "Ġvillain": 19349, - "abar": 19350, - "ĠLik": 19351, - "Ġlesbian": 19352, - "iances": 19353, - "ĠCretaceous": 19354, - "yang": 19355, - "ĠMugh": 19356, - "ĠCarlisle": 19357, - "Ġapplying": 19358, - "ĠMajesty": 19359, - "Ġ1804": 19360, - "Ġhoping": 19361, - "Ġcannon": 19362, - "Ġstom": 19363, - "ĠObject": 19364, - "Ġreversed": 19365, - "ĠPlays": 19366, - "ĠGeology": 19367, - "Ġorgans": 19368, - "ĠAlam": 19369, - "ĠLagos": 19370, - "University": 19371, - "nell": 19372, - "istically": 19373, - "Ġfinishes": 19374, - "ĠByron": 19375, - "Ġpreference": 19376, - "Ġsher": 19377, - "Ġquar": 19378, - "Ġportrayal": 19379, - "ĠCrypt": 19380, - "Ġholy": 19381, - "Ġprecurs": 19382, - "ĠCors": 19383, - "ĠBulletin": 19384, - "Ġcolumnist": 19385, - "otechn": 19386, - "Ġastronomer": 19387, - "Ġdisplaced": 19388, - "ĠWritten": 19389, - "Ġeveryday": 19390, - "ĠOkin": 19391, - "ĠFleming": 19392, - "ĠHobart": 19393, - "Ġconced": 19394, - "ĠCreat": 19395, - "ĠGaul": 19396, - "Ġdefault": 19397, - "Ġimprov": 19398, - "ĠRuby": 19399, - "Ġfake": 19400, - "ĠPlayoffs": 19401, - "aev": 19402, - "Ġinvention": 19403, - "ĠSuperv": 19404, - "Ġtermed": 19405, - "quel": 19406, - "Ġpersuaded": 19407, - "Ġtonnes": 19408, - "Ġ1796": 19409, - "ĠSaturn": 19410, - "ĠAbbott": 19411, - "Ġdiab": 19412, - "ĠLincolnshire": 19413, - "UM": 19414, - "ĠPoz": 19415, - "Ġracism": 19416, - "Ġrocky": 19417, - "Ġcorridor": 19418, - "Ġsettling": 19419, - "Ġexpertise": 19420, - "ĠLect": 19421, - "ĠBangladeshi": 19422, - "Ġtales": 19423, - "900": 19424, - "ĠMonaco": 19425, - "ĠMidnight": 19426, - "Ġseas": 19427, - "sun": 19428, - "Ġreplied": 19429, - "Ġwarrant": 19430, - "ĠTechnologies": 19431, - "Ġgeneric": 19432, - "mu": 19433, - "ĠRelief": 19434, - "Ġdivid": 19435, - "ĠDiane": 19436, - "ĠStirling": 19437, - "ĠPurd": 19438, - "ĠMultiple": 19439, - "Ġfever": 19440, - "Ġblamed": 19441, - "So": 19442, - "Ġminiseries": 19443, - "cule": 19444, - "Ġog": 19445, - "Ġcurved": 19446, - "ulg": 19447, - "Ġdissertation": 19448, - "ĠCherokee": 19449, - "iously": 19450, - "ĠManning": 19451, - "Ġpartition": 19452, - "Ġthoughts": 19453, - "iov": 19454, - "dig": 19455, - "ĠEcology": 19456, - "Ġlandscapes": 19457, - "Ġautonomy": 19458, - "Ġdomains": 19459, - "psy": 19460, - "Ġsubstantially": 19461, - "Ġannexed": 19462, - "Ġcolored": 19463, - "Ġdetained": 19464, - "Ġunrest": 19465, - "ĠMcCl": 19466, - "Ġremarked": 19467, - "Ġarcade": 19468, - "raid": 19469, - "Ġbeings": 19470, - "aras": 19471, - "Ġbuff": 19472, - "played": 19473, - "cn": 19474, - "ĠHanc": 19475, - "Little": 19476, - "ĠBam": 19477, - "ĠSometimes": 19478, - "Ġremnants": 19479, - "cephal": 19480, - "ĠGaza": 19481, - "Ġkeys": 19482, - "ĠIsabel": 19483, - "ĠSpin": 19484, - "ĠBoliv": 19485, - "Ġapplies": 19486, - "ĠRotterdam": 19487, - "Ġ123": 19488, - "Ġrobust": 19489, - "yeong": 19490, - "ĠPBS": 19491, - "ĠNormal": 19492, - "great": 19493, - "unts": 19494, - "Ġemployer": 19495, - "bore": 19496, - "ĠHighlands": 19497, - "Ġaggress": 19498, - "ĠPrograms": 19499, - "ĠAugustine": 19500, - "Ġ//": 19501, - "ĠChristina": 19502, - "Ġgifts": 19503, - "ĠPenguin": 19504, - "Ġpic": 19505, - "Ġ220": 19506, - "Ġcelebrities": 19507, - "Ġfreely": 19508, - "ĠNah": 19509, - "ĠMari": 19510, - "spring": 19511, - "Ġlaunching": 19512, - "cas": 19513, - "Ġfilmography": 19514, - "Des": 19515, - "City": 19516, - "Ġstuff": 19517, - "plays": 19518, - "ĠHors": 19519, - "requ": 19520, - "ĠJans": 19521, - "acia": 19522, - "ĠPeoples": 19523, - "Ġ1780": 19524, - "ricanes": 19525, - "ĠLein": 19526, - "fax": 19527, - "ĠSnchez": 19528, - "Ġfitness": 19529, - "ĠHoldings": 19530, - "eted": 19531, - "icana": 19532, - "Ġtransmitted": 19533, - "Ġcomplement": 19534, - "ĠVert": 19535, - "ĠUSL": 19536, - "ĠAid": 19537, - "olom": 19538, - "Ġbrow": 19539, - "Ġminerals": 19540, - "ĠQub": 19541, - "Ġeleventh": 19542, - "yss": 19543, - "ĠBruins": 19544, - "ĠRussians": 19545, - "intro": 19546, - "Ġinspection": 19547, - "ĠBiden": 19548, - "ĠLifetime": 19549, - "ĠIpswich": 19550, - "Ġdiffers": 19551, - "ĠZrich": 19552, - "ĠHelm": 19553, - "Ġwounds": 19554, - "ĠAbs": 19555, - "Ġideology": 19556, - "Ġlegitimate": 19557, - "ĠOpening": 19558, - "Ġcontam": 19559, - "amph": 19560, - "Ġterminology": 19561, - "Ġmodeling": 19562, - "ĠMey": 19563, - "ĠPeer": 19564, - "leading": 19565, - "Ġuniforms": 19566, - "umper": 19567, - "ĠFerrari": 19568, - "eason": 19569, - "ĠOC": 19570, - "ĠMozart": 19571, - "ĠMali": 19572, - "ĠIdol": 19573, - "ĠDied": 19574, - "TI": 19575, - "Ġcommunicate": 19576, - "ĠStevenson": 19577, - "Ġaccent": 19578, - "Ġsurprising": 19579, - "Ġsovereignty": 19580, - "Tunes": 19581, - "ĠLup": 19582, - "itism": 19583, - "ĠFlood": 19584, - "ĠTR": 19585, - "Ġconsole": 19586, - "ĠAfterwards": 19587, - "ĠAval": 19588, - "ĠClose": 19589, - "anium": 19590, - "ĠCatholicism": 19591, - "Ġexpectations": 19592, - "ĠMerchant": 19593, - "arnation": 19594, - "kle": 19595, - "wat": 19596, - "Ġbrilliant": 19597, - "ĠFilming": 19598, - "hara": 19599, - "Ġblank": 19600, - "ozo": 19601, - "icides": 19602, - "Ġwhatever": 19603, - "azing": 19604, - "ĠJudy": 19605, - "Ġloses": 19606, - "ĠMiranda": 19607, - "ĠHerb": 19608, - "Ġtactical": 19609, - "ĠAlmost": 19610, - "some": 19611, - "ĠSEC": 19612, - "Ġgravity": 19613, - "ĠDeclaration": 19614, - "lop": 19615, - "Ġ1795": 19616, - "mez": 19617, - "Ġchemist": 19618, - "ĠElim": 19619, - "Ġneo": 19620, - "ĠSeymour": 19621, - "White": 19622, - "orted": 19623, - "Ke": 19624, - "Ġqualities": 19625, - "Ġapproaching": 19626, - "ĠKnown": 19627, - "ĠDrum": 19628, - "eningrad": 19629, - "Ġrely": 19630, - "ĠMLS": 19631, - "Ġdisabilities": 19632, - "ayev": 19633, - "ĠAnch": 19634, - "ĠPayne": 19635, - "ijk": 19636, - "ĠRowing": 19637, - "Ġ1792": 19638, - "Ġteaches": 19639, - "ertiary": 19640, - "Ġoval": 19641, - "Ġconting": 19642, - "rk": 19643, - "ployed": 19644, - "eches": 19645, - "ĠStaffordshire": 19646, - "Ġcit": 19647, - "Ġwatershed": 19648, - "Ġvib": 19649, - "ibal": 19650, - "ĠMonarch": 19651, - "Ġswept": 19652, - "iones": 19653, - "ĠRaven": 19654, - "1897": 19655, - "idium": 19656, - "ĠPitch": 19657, - "ĠAustro": 19658, - "ippon": 19659, - "ĠPolytechnic": 19660, - "----": 19661, - "Ġmonop": 19662, - "ĠRankings": 19663, - "Ġblast": 19664, - "Ġprecipitation": 19665, - "ĠShooting": 19666, - "ĠGore": 19667, - "Ġimaging": 19668, - "FI": 19669, - "Ġfinancing": 19670, - "ĠNgu": 19671, - "Ġ450": 19672, - "Ġsexually": 19673, - "Ġwoodland": 19674, - "ĠJuliet": 19675, - "ĠAAA": 19676, - "ĠAllies": 19677, - "itle": 19678, - "Ġresemble": 19679, - "ĠLahore": 19680, - "ĠGilles": 19681, - "Ġpostal": 19682, - "Ġplanets": 19683, - "Ġquantity": 19684, - "toire": 19685, - "Ġrepeat": 19686, - "director": 19687, - "ĠMormon": 19688, - "forth": 19689, - "bott": 19690, - "xx": 19691, - "unga": 19692, - "Ġwage": 19693, - "Ġdiscussing": 19694, - "ĠGoal": 19695, - "Ġcheese": 19696, - "Ġdecom": 19697, - "Ġtwelfth": 19698, - "Ġ119": 19699, - "Ġisn": 19700, - "Ġsurveys": 19701, - "vik": 19702, - "zew": 19703, - "Ġeffectiveness": 19704, - "Ġhoney": 19705, - "ĠArrow": 19706, - "ĠChow": 19707, - "Ġaccepting": 19708, - "ĠBeaver": 19709, - "flower": 19710, - "ĠEMI": 19711, - "chenko": 19712, - "Ġsupposedly": 19713, - "Ġdealer": 19714, - "Ġsprings": 19715, - "Ġflowing": 19716, - "Ġgenerating": 19717, - "Ġcombine": 19718, - "ĠGrim": 19719, - "grave": 19720, - "ĠPermanent": 19721, - "anka": 19722, - "ĠSignal": 19723, - "Ġtends": 19724, - "ĠWet": 19725, - "ĠZambia": 19726, - "Ġsanctuary": 19727, - "bilt": 19728, - "Ġtensions": 19729, - "fan": 19730, - "101": 19731, - 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"Ġkn own", - "Ġs et", - "a i", - "ĠCount y", - "ĠA d", - "y s", - "\" ,", - "Ġ ent", - "Ġbec ame", - "2 00", - "Ġs uch", - "st it", - "Ġest abl", - "ĠO r", - "Ġ1 5", - "Ġa m", - "is m", - "ĠS outh", - "ĠG e", - "Ġpro v", - "c y", - "ur al", - "it s", - "Ġp h", - "Ġin c", - "ment s", - "Ġth an", - "ĠS chool", - "amp ion", - "tern ational", - "u ro", - "ĠG erman", - "ĠM e", - "a x", - "is e", - "Ġf our", - "p os", - "Ġ &", - "ĠN ov", - "Ġs eries", - "ĠJ u", - "Ġbe ing", - "Ġs ome", - "ur ch", - "Ġle ad", - "Ġ| -", - "Ġb l", - "Ġp opul", - "Ġ .", - "e ver", - "ĠW est", - "ut e", - "Ġc all", - "Ġs ong", - "ay s", - "Ġinclud ing", - "ot her", - "j ect", - "le t", - "et h", - "Ġgro up", - "Ġagain st", - "a e", - "Ġw ell", - "are er", - "Ġd o", - "i ke", - "Ġap pe", - "ĠP ol", - "ĠA fter", - "b orn", - "Ġde ath", - "ug ust", - "Ġac c", - "ar ri", - "Ġc ount", - "t y", - "Ġc re", - "ction s", - "ian s", - "ĠP r", - "u ary", - "ĠW h", - "am ed", - "pt ember", - "ĠAust ral", - "v en", - "st em", - "at her", - "t il", - "ĠY ork", - "ar n", - "ire d", - "ul l", - "b y", - "m y", - "er ed", - "r id", - "ver y", - "ut ion", - "e y", - "ĠA ugust", - "Ġbe fore", - "ĠBrit ish", - "Ġre ce", - "= \"", - "ĠO ct", - "el s", - "Ġ1 2", - "Ġad d", - "Ġwh ile", - "r ist", - "Ġs ur", - "ĠSe ptember", - "Ġs ign", - "Ġpol it", - "iv es", - "ĠMar ch", - "overn ment", - "00 0", - "Ġb ro", - "Ġde c", - "Ġsh ow", - "ĠC ent", - "a id", - "Ġoff ic", - "Ġbu ild", - "Ġde velop", - "Ġo per", - "ĠOct ober", - "olog y", - "Ġg o", - "el f", - "Ġfam ily", - "Ġun til", - "Ġc ap", - "le v", - "ĠM an", - "x t", - "Ġm usic", - "Ġm ay", - "pr il", - "iz ed", - "ow ever", - "ĠJ une", - "a u", - "r and", - "Ġo wn", - "f ess", - "Ġn o", - "Ġre p", - "ĠJan uary", - "ic a", - "Ġor ig", - "er y", - "Ġm ain", - "m ber", - "Ġm od", - "Ġh igh", - "ĠAs s", - "ĠJu ly", - "en g", - "ĠAl l", - "Ġbir ths", - "emb ers", - "ĠC ar", - "1 0", - "l ish", - "ist or", - "Ġch ar", - "Ġb oth", - "ĠN orth", - "Ġplay ed", - "olle ge", - "Ġm on", - "Ġman y", - "Ġnum ber", - "ot t", - "et s", - "ĠC o", - "ĠLe ague", - "Ġex p", - "om an", - "Ġn ame", - "ut h", - "ampion ship", - "ĠA pril", - "cent ury", - "ward s", - "Ġb ack", - "Ġ19 2", - "ant s", - "v ed", - "i ent", - "ĠCan ad", - "ĠE uro", - "it t", - "ĠSe e", - "Ġrele ased", - "ce mber", - "Ġe m", - "st ru", - "ĠG u", - "ain ed", - "ĠB o", - "en e", - "i or", - "p le", - "Ġg u", - "g ram", - "1 7", - "ĠE d", - "is c", - "Ġfor mer", - "ĠC ol", - "ĠNov ember", - "it al", - "Ġse ver", - "iss ion", - "ĠA m", - "ĠEng lish", - "Ġan n", - "Ġw on", - "i um", - "in es", - "e c", - "he s", - "port s", - "Ġdes ign", - "p or", - "ic ip", - "ce pt", - "ĠRe g", - "ĠW ill", - "ĠDe cember", - "Ġm at", - "ĠC ity", - "Ġ1 4", - "ra ct", - "ĠF l", - "aj or", - "Ġdes c", - "y l", - "ros s", - "Ġ1 3", - "Ġl ife", - "Ġare a", - "im es", - "ir d", - "Ġst art", - "ĠC al", - "ĠA f", - "Ġor gan", - "r is", - "duc ed", - "Ġop en", - "Ġf eat", - "are d", - "ĠSt ate", - "re t", - "f l", - "Ġg ame", - "ag es", - "Ġd if", - "v ent", - "res ident", - "Ġr un", - "k et", - "u es", - "Ġfilm s", - "l ed", - "ro p", - "Ġpro du", - "p art", - "Ġ1 1", - "ar m", - "et y", - "Ġm en", - "Ġ201 0", - "Ġcl ass", - "ograph y", - "Ġ2 1", - "y le", - "Ġex t", - "ap an", - "il t", - "eb ru", - "Ġs m", - "lev ision", - "ebru ary", - "Ġpubl ic", - "un g", - "ĠK ing", - "ĠI I", - "Ġst ate", - "Ġsy stem", - "ĠP ar", - "Ġl ong", - "Ġo b", - "ual ly", - "Ġd r", - "ar ch", - "ĠB ro", - "f ul", - "Ġf inal", - "Ġc areer", - "il it", - "n er", - "ĠH is", - "Ġs ame", - "ul ar", - "an c", - "a use", - "Ġcall ed", - "am b", - "vi ew", - "Ġfollow ing", - "ĠF ebruary", - "in c", - "z e", - "ov e", - "y n", - "Ġret urn", - "Ġf in", - "on y", - "Ġc ity", - "Ġw ill", - "iv ision", - "ĠEuro pe", - "ĠS w", - "a f", - "h ip", - "Ġch ild", - "r at", - "al es", - "ak ing", - "Ġsever al", - "Ġcomm un", - "ren ch", - "il ity", - "Ġw omen", - "re nt", - "oin t", - "ĠM ed", - "or ks", - "ĠJ apan", - "s p", - "an ge", - "ch n", - "ial ly", - "c om", - "c on", - "ure d", - "Ġl ist", - "Ġs uc", - "ĠGe or", - "p ed", - "Ġe arly", - "Ġa ir", - "ĠB ar", - "Ġcont in", - "Ġ '", - "Ġto wn", - "Ġcomp et", - "Ġcl ub", - "ĠE l", - "Ġm in", - "Ġres ult", - "h am", - "ib le", - "1 2", - "ĠA nd", - "ĠH ar", - "ĠH istory", - "is ed", - "al ly", - "Ġs ince", - "ic es", - "ain s", - "st er", - "19 9", - "ĠThe y", - "ĠP art", - "b o", - "r ing", - "Ġn ear", - "ang u", - "Ġn amed", - "Ġorig inal", - "end ed", - "u ed", - "ĠCh rist", - "at a", - "Ġhe ad", - "ĠA b", - "1 6", - "Ġb el", - "Ġdis c", - "Ġpl ace", - "ĠF rench", - "id ed", - "i ence", - "Ġ201 1", - "ĠRe p", - "Ġc ur", - "Ġbe gan", - "il le", - "Ġt it", - "Ġus e", - "iv al", - "an e", - "re en", - "Ġpro gram", - "ĠU S", - "Ġv ill", - "Ġm ember", - "Ġm embers", - "1 5", - "Ġp rom", - "Ġhe ld", - "Ġan y", - "Ġl and", - "ĠCom p", - "Ġb ased", - "ain t", - "ĠR es", - "ĠM c", - "Ġthe se", - "Ġcomp le", - "b le", - "Ġap p", - "m e", - "Ġsup port", - "oun c", - "ĠAf ric", - "al ity", - "Ġg overnment", - "r ight", - "Ġ200 8", - "ĠR uss", - "Ġm et", - "Ġ201 2", - "Ġw e", - "ĠR o", - "a ugh", - "Ġ19 0", - "ĠA ir", - "Ġestabl ished", - "i ous", - "Ġal ong", - "Ġe ff", - "t he", - "Ġ ,", - "ĠE ast", - "ĠCh ampionship", - "Ġdesc rib", - "T he", - "in ess", - "Ġen g", - "ition s", - "ĠC ollege", - "Ġp ass", - "ĠWill iam", - "ĠG en", - "an a", - "od e", - ". .", - "Ġd ist", - "pe ct", - "al th", - "ad em", - "Ġ200 9", - "Ġloc ated", - "ur g", - "u k", - "ĠThe re", - "at or", - "ical ly", - "ĠH er", - "or m", - "ac ed", - "Ġd id", - "Ġl aw", - "in o", - "Ġc ol", - "Ġo cc", - "Ġchar act", - "che s", - "f ord", - "ĠAr t", - "c ol", - "at s", - "i en", - "ubl ic", - "ĠP eople", - "Ġp os", - "Ġy ou", - "Ġ201 3", - "ond on", - "ĠN e", - "oci ation", - "ĠIt al", - "Ġ200 6", - "Ġ200 7", - "Ġh ouse", - "Ġe ach", - "t o", - "ĠH igh", - "ing ton", - "ore d", - "Ġ201 4", - "ro w", - "Ġ201 6", - "Ġserv ed", - "our t", - "ĠF ilm", - "Ġto ok", - "qu e", - "Ġs im", - "k y", - "Ġ X", - "1 4", - "ĠRe c", - "Ġb and", - "Ġt r", - "Ġst ation", - "Ġh ome", - "ĠD istrict", - "Ġb us", - "av ing", - "ĠS y", - "ĠIn ternational", - "Ġb orn", - "Ġg ames", - "Ġn ational", - "m ed", - "ly mp", - "i et", - "ĠA c", - "Ġin st", - "Ġ201 5", - "re w", - "er g", - "Ġpro fess", - "in ed", - "Ġ201 8", - "ight s", - "p s", - "Ġcomp any", - "Ġl ine", - "Ġp erson", - "1 3", - "ĠO lymp", - "Ġpopul ation", - "Ġm ajor", - "Ġ18 9", - "ac es", - "our n", - "Ġ20 20", - "ĠD av", - "ill ion", - "ĠL iving", - "ĠL ondon", - "Ġ201 7", - "ĠSe c", - "Ġs l", - "Ġb as", - "Ġj oin", - "Ġsm all", - "Ġle g", - "Ġloc al", - "ĠInd ian", - "ĠL a", - "ard s", - "Ġv ari", - "Ġrece ived", - "Ġde b", - "Ġev ent", - "Ġ2 5", - "Ġgen eral", - "Ġman ag", - "Ġpubl ished", - "Ġte levision", - "ĠC up", - "et t", - "Ġcent ury", - "ĠN ot", - "ilit ary", - "s ide", - "et er", - "Ġ3 0", - "at ure", - "Ġ201 9", - "Ġsing le", - "Ġbu ilt", - "ĠS up", - "Ġv i", - "ĠPh il", - "a ul", - "Ġd ue", - "Ġc ould", - "Ġv ers", - "ĠH owever", - "Ġ $", - "Ġap pro", - "ar ge", - "Ġw orld", - "Ġspec ies", - "ar a", - "Ġc olle", - "um n", - "Ġsuc cess", - "ie f", - "ounc il", - "Ġp o", - "v ers", - "Ġst r", - "in t", - "Ġa round", - "ord ing", - "if ied", - "ĠA ng", - "uth or", - "id es", - "at ely", - "om in", - "ĠG l", - "Ġo ld", - "Ġed uc", - "ĠT r", - "arri ed", - "ĠL ist", - "ĠN o", - "Ġt erm", - "is on", - "ro l", - "ĠC or", - "um mer", - "Ġa ge", - "ff ic", - "l ing", - "ĠT ra", - "ĠH ouse", - "Ġhe l", - "Ġal ign", - "Ġe p", - "ord s", - "e f", - "oc ial", - "ĠP ark", - "r ation", - "Ġp resent", - "ĠP re", - "Ġle ft", - "Ġl ast", - "Ġs ix", - "ĠE n", - "Ġh istory", - "Ġn ow", - "i od", - "a im", - "Ġs aid", - "ĠS an", - "Ġt y", - "Ġ200 0", - "Ġrep resent", - "re et", - "a us", - "id d", - "ra ft", - "t t", - "Ġd ied", - "Ġplay er", - "op h", - "Ġ 0", - "Ġre st", - "1 1", - "Ġc amp", - "iz ation", - "ĠD uring", - "Ġc ar", - "Ġl a", - "um b", - "angu age", - "Ġto p", - "ne y", - "Ġp ar", - "ĠB r", - "on es", - "Ġvill age", - "Ġwith in", - "ĠM ich", - "Ġd et", - "iv en", - "Ġst yle", - "Ġf ive", - "Ġ200 5", - "Ġt ri", - "Ġn orth", - "Ġsh ort", - "Ġ2 4", - "v an", - "ĠR oy", - "Ġor der", - "ide o", - "Ġ18 8", - "Ġd ay", - "in k", - "ĠD es", - "o ks", - "et her", - "u f", - "Ġdescrib ed", - "ak es", - "s c", - "ow s", - "ur ther", - "19 8", - "ent ly", - "Ġth ird", - "Ġbuild ing", - "al k", - "Ġinclud e", - "ĠR iver", - "Ġinclud ed", - "Ġp ost", - "um ent", - "Ġd own", - "ast er", - "if orn", - "ĠP er", - "Ġdif fer", - "d ay", - "he m", - "ĠA g", - "Ġchild ren", - "Ġre port", - "ur s", - "ĠEng land", - "c o", - "ĠCh ar", - "Ġ202 1", - "att le", - "Ġre f", - "vi ous", - "Ġre qu", - "ĠS ch", - "ĠA ct", - "n a", - "er a", - "feren ce", - "Ġbec ause", - "ke y", - "t ain", - "iforn ia", - "Ġad m", - "ĠB y", - "th ough", - "Ġann oun", - "Ġl arge", - "Ġcons id", - "iv ely", - "re g", - "ĠG ro", - "ĠM al", - "Ġs outh", - "g round", - "Ġs on", - "ĠAustral ia", - "Ġ200 4", - "ic o", - "Ġd em", - "rid ge", - "ri end", - "Ġd istrict", - "ĠCal ifornia", - "l er", - "col or", - "Ġst and", - "ĠP ort", - "ĠB ra", - "Ġm ark", - "ĠM on", - "os p", - ". ,", - "use um", - "ct ure", - "Ġar ch", - "Ġp ower", - "inn ing", - "Ġst at", - "Ġbo ok", - "uc k", - "od y", - "ĠY ou", - "ĠPart y", - "en cy", - "Ġl o", - "Ġdeath s", - "ri pt", - "Ġ202 2", - "Ġc rit", - "ad io", - "it er", - "part ment", - "land s", - "in ing", - "Ġw ar", - "con om", - "um an", - "Ġappe ar", - "Ġc or", - "ĠD em", - "Ġm ale", - "Ġl arg", - "k a", - "Ġis s", - "ĠR oman", - "re st", - "Ġ18 6", - "Ġj ust", - "ist er", - "Ġ2 2", - "Ġre pl", - "ĠB el", - "c er", - "al d", - "al f", - "Ġw ater", - "Ġserv ice", - "g ed", - "Ġper iod", - "Ġn on", - "Ġper form", - "Ġadd ition", - "n ess", - "Ġres p", - "v es", - "Ġk ill", - "am ent", - "oci ety", - "ĠA nt", - "Ġde p", - "ee k", - "Ġv is", - "he l", - "our s", - "e le", - "Ġre fer", - "ĠS m", - "a ff", - "er ing", - "ĠO ne", - "Ġmov ed", - "ĠA ward", - "en se", - "Ġc r", - "ĠE m", - "Ġdiffer ent", - "iz e", - "Ġcur rent", - "ĠAustral ian", - "Ġro und", - "Ġl ike", - "ot e", - "rib ut", - "5 0", - "ĠAr my", - "Ġ2 3", - "Ġinc re", - "om b", - "Ġm illion", - "Ġl ed", - "k i", - "l ine", - "ĠN or", - "p ar", - "Ġt rad", - "Ġbus iness", - "am a", - "ĠA cc", - "t al", - "av y", - "her n", - "ĠM inist", - "Ġan other", - "Ġth ose", - "o on", - "Ġh istor", - "ĠR ober", - "op s", - "o f", - "Ġsh ip", - "Ġ18 7", - "Ġe qu", - "Ġst ill", - "and er", - "Ġ if", - "Ġf ather", - "Ġ el", - "Ġf ield", - "Ġw est", - "ĠJ ames", - "Ġd el", - "ĠInd ia", - "Ġex per", - "Ġa uthor", - "i ber", - "ĠM or", - "ĠSt e", - "d e", - "ep end", - "Ġf ac", - "c hed", - "iv il", - "Ġact iv", - "Ġh and", - "Ġcomp os", - "ĠCh urch", - "ĠM usic", - "Ġbe st", - "ĠGen eral", - "ĠFran ce", - "Ġp ort", - "Ġk m", - "o x", - "Ġannoun ced", - "Ġin ternational", - "Ġdeb ut", - "stru ction", - "Ġtit le", - "Ġcount ry", - "d om", - "ĠQ u", - "Ġs old", - "Ġf em", - "ĠTh om", - "Ġw in", - "as es", - "Ġ200 3", - "v ille", - "Ġ( )", - "Ġestabl ish", - "ĠY ear", - "19 7", - "u el", - "Ġcharact er", - "Ġe ast", - "Ġpolit ic", - "ĠGeor ge", - "ĠD ivision", - "f ield", - "un icip", - "us h", - "Ġs ide", - "c ast", - "Ġp at", - "Ġd ra", - "b e", - "ĠRoy al", - "Ġc ult", - "ourn al", - "ĠA p", - "an ish", - "re ad", - "Ġn ov", - "Ġa v", - "g color", - "Ġpre vious", - "ĠM ount", - "g in", - "Ġm ake", - "ĠEurope an", - "Ġ very", - "ri es", - "a el", - "ĠQ ue", - "ĠP e", - "ort hern", - "Ġa ward", - "ĠCl ub", - "ĠCanad ian", - "Ġset t", - "ug g", - "ĠAc adem", - "Ġele ction", - "Ġpro ject", - "ip p", - "l in", - "le x", - "ĠP al", - "Ġam ong", - "m s", - "ap p", - "ab or", - "Ġw orks", - "ĠV al", - "ĠG r", - "Ġ2 6", - "ĠCanad a", - "Ġ200 2", - "ĠE le", - "i us", - "ĠR ich", - "Ġf r", - "al ign", - "Ġro le", - "g es", - "Ġpro duced", - "ĠW hen", - "w ork", - "ĠP aul", - "Ġf e", - "Ġm ag", - "pl oy", - "for man", - "Ġle vel", - "ĠB u", - "o ff", - "Ġof ten", - "ol ution", - "Ġa ff", - "Ġl ate", - "Ġs pe", - "Ġre ad", - "Ġw eb", - "a pe", - "ĠDav id", - "ĠC ouncil", - "Ġth ough", - "Ġinv ol", - "Ġre se", - "Ġb gcolor", - "ĠF ootball", - "Ġp e", - "Ġ199 0", - "it ar", - "st on", - "at ch", - "Ġwrit ten", - "Ġex pl", - "Ġ2 8", - "Ġ2 7", - "or ies", - "im ent", - "ĠL ou", - "Ġeng ine", - "Ġf ore", - "ĠH ol", - "Ġep is", - "ĠAss ociation", - "Ġ es", - "stit ute", - "Ġad v", - "b ack", - "Ġte chn", - "ac ks", - "Ġ200 1", - "ĠW ith", - "b an", - "ĠR ed", - "Ġstart ed", - "Ġev en", - "ĠD r", - "umn i", - "Ġyou ng", - "Ġp oss", - "Ġall ow", - "o le", - "em pt", - "Ġcl os", - "iv id", - "o e", - "ro te", - "Ġm arried", - "it or", - "Ġg rad", - "ĠR ail", - "v al", - "Ġc ame", - "Ġoffic ial", - "Ġin it", - "Ġc over", - "Ġim port", - "ĠP resident", - "Ġcre ated", - "ĠAmer ica", - "ou ther", - "Ġw ent", - "form ation", - "Ġg iven", - "Ġs ite", - "Ġto tal", - "ol ic", - "g y", - "ir c", - "ĠSt reet", - "al t", - "Ġst ru", - "Ġe very", - "ĠF irst", - "Ġt urn", - "outher n", - "Ġcommun ity", - "y a", - "ĠF rom", - "ĠS ing", - "er ation", - "w est", - "oin ted", - "ĠSt ud", - "3 0", - "Ġjoin ed", - "ra p", - "om et", - "Ġv al", - "Ġeff ect", - "ĠH istor", - "it te", - "ĠK h", - "Ġra il", - "ot s", - "Ġpolit ical", - "Ġch ang", - "Ġwork ed", - "Ġwh at", - "Ġp res", - "Ġcon c", - "i j", - "Ġvari ous", - "ir on", - "Ġf re", - "Ġdevelop ment", - "ag o", - "ber t", - "ĠS en", - "ree k", - "ĠT own", - "Ġcon f", - "pos ed", - "s ite", - "ĠT rans", - "b or", - "ir l", - "Ġpro cess", - "m a", - "Ġ1 00", - "Ġt w", - "Ġv ideo", - "e al", - "Ġprofess ional", - "Ġele ct", - "her s", - "Ġf act", - "Ġm ilitary", - "ĠS l", - "ac hed", - "' t", - "ĠUn ion", - "Ġvers ion", - "at ic", - "olog ical", - "at ri", - "ĠGerman y", - "op e", - "re am", - "ĠGro up", - "Ġm uch", - "s elf", - "Ġpro te", - "Ġprodu ction", - "Ġh aving", - "Ġne xt", - "Ġcomm on", - "Ġb re", - "Ġcl aim", - "Ġbec ome", - "Ġspec ial", - "Ġg r", - "h old", - "ĠM art", - "Ġs ent", - "ĠH en", - "Ġm iss", - "Ġh ost", - "ĠB er", - "og n", - "Ġs w", - "ĠJ e", - "h ib", - "ĠV ir", - "ĠM ary", - "ĠM ag", - "Ġ198 0", - "ĠS er", - "ĠRo ad", - "o or", - "Ġus ing", - "ĠW e", - "Ġp ri", - "ĠBl ack", - "ĠAr ch", - "Ġ [", - "Ġdire ct", - "Ġreturn ed", - "ĠMe x", - "19 6", - "Ġw rote", - "Ġint ro", - "ĠP ri", - "Ġs it", - "Ġp resident", - "Ġpr im", - "m en", - "Ġt em", - "ĠItal ian", - "ĠM y", - "ĠJapan ese", - "Ġ199 9", - "est s", - "Ġ2 9", - "Ġg l", - "ĠAfric an", - "in ation", - "ĠT ur", - "Ġpos ition", - "Ġmat ch", - "h a", - "Ġan t", - "ict ion", - "ĠL aw", - "Ġdire ctor", - "i ography", - "m ing", - "ĠH all", - "oin ts", - "Ġteam s", - "Ġt ake", - "ĠW omen", - "Ġm ult", - "Ġch urch", - "Ġsong s", - "fl u", - "ĠThe se", - "Ġopen ed", - "Ġper forman", - "B C", - "ct s", - "il ar", - "ĠComm un", - "ĠW ash", - "ĠPro v", - "ivid ual", - "Ġf ew", - "Ġev ents", - "id a", - "Ġf un", - "ell ow", - "ĠG ames", - "Ġbe h", - "se qu", - "ĠS am", - "ĠRober t", - "arl iam", - "Ġv ol", - "ak en", - "ib r", - "itt le", - "ĠRuss ian", - "ĠLe g", - "an i", - "ent ion", - "e ad", - "ĠCh ina", - "oc rat", - "u le", - "ĠB est", - "l o", - "arliam ent", - "ar ian", - "g er", - "C A", - "ĠSc ott", - "2 1", - "Ġt imes", - "t ra", - "Ġst ory", - "Ġs ol", - "ĠO ther", - "ec ut", - "Ġpart icip", - "Ġw ay", - "Ġv oc", - "Ġfootball ers", - "y ing", - "ri an", - "Ġalbum s", - "ĠAcc ording", - "augh ter", - "Ġbe g", - "Ġh ig", - "ĠM ad", - "est ed", - "ĠC ap", - "ĠPl ay", - "un t", - "Ġf riend", - "Ġ199 8", - "ĠWash ington", - "it z", - "ĠC ourt", - "n ing", - "ic le", - "Ġatt ack", - "ket ball", - "ĠM iss", - "Ġro ad", - "stit ut", - "our ces", - "itte e", - "il es", - "an ies", - "Ġim p", - "Ġadm inist", - "ĠC ast", - "Ġpopul ar", - "Ġbro ther", - "Ġne ed", - "Ġwith out", - "ĠComp any", - "is l", - "ĠC ont", - "ĠThom as", - "at ter", - "Ġserv ices", - "ra g", - "an ces", - "a ur", - "Ġreg ion", - "end ing", - "Ġp ract", - "ĠS erv", - "Ġstud ents", - "idd le", - "Ġs k", - "Ġs ocial", - "od es", - "ĠC ath", - "Ġt er", - "ĠM en", - "ers hip", - "ĠS al", - "e x", - "wo od", - "ĠK n", - "a ign", - "Ġh alf", - "Ġbro ad", - "y ear", - "2 2", - "Ġg reat", - "Ġf ull", - "r ated", - "Ġcontin ued", - "Ġ197 0", - "Ġl ost", - "ĠA wards", - "ĠKing dom", - "ain ing", - "ĠCent ral", - "ĠS ociety", - "ac y", - "c raft", - "Ġco ach", - "y m", - "Ġm id", - "ĠM ont", - "ĠG rand", - "Ġal umni", - "ĠO p", - "us ed", - "Ġeduc ation", - "ra b", - "Ġrese arch", - "are nt", - "Ġ199 6", - "Ġatt empt", - "Ġs qu", - "Ġd ays", - "is ing", - "Ġh owever", - "ĠI r", - "b urg", - "Ġse e", - "ĠCh in", - "ens us", - "ĠRec ords", - "Ġprom ot", - "ap er", - "ĠM useum", - "4 0", - "Ġcomple ted", - "on a", - "Ġpro duc", - "Ġele cted", - "Ġapp ointed", - "ĠA lex", - "at ors", - "ĠChar les", - "ill s", - "ĠFl or", - "Ġcom b", - "ĠIs land", - "Ġinv est", - "Ġind ust", - "Ġin f", - "Ġ ident", - "est ival", - "in i", - "ĠD on", - "cent er", - "Ġpart y", - "ĠM et", - "Ġfound ed", - "Ġcont rol", - "Ġdire cted", - "ĠE duc", - "ĠCent er", - "Ġrecord ed", - "ĠTe x", - "Ġl im", - "Ġa ver", - "ific ation", - "u it", - "Ġr ight", - "ĠI m", - "r d", - "Ġ199 7", - "Ġsign ed", - "ĠE arly", - "Ġw ife", - "Ġe conom", - "ĠS ummer", - "amp le", - "l ess", - "Ġp oints", - "ber g", - "Ġpro per", - "Ġle ague", - "w h", - "as ons", - "Ġgroup s", - "Ġare as", - "2 3", - "Ġre view", - "Ġ18 5", - "Ġ /", - "ĠDe partment", - "Ġb ase", - "n el", - "Ġconsid ered", - "ish ing", - "ĠS im", - "Ġcon ne", - "Ġra ce", - "r ay", - "ĠAng el", - "ĠWest ern", - "Ġ202 3", - "ĠO ffic", - "Ġp oint", - "ĠJ ew", - "pl ay", - "Ġh on", - "ĠC he", - "Ġpart ic", - "Ġse le", - "at ural", - "ĠFran c", - "Ġre n", - "Ġf ind", - "Ġf urther", - "ĠV ict", - "j e", - "Ġm ar", - "= #", - "ĠT o", - "Ġc oll", - "ĠT V", - "Ġrel ations", - "ĠIn stitute", - "Ġc aus", - "ar ies", - "Ġv ict", - "ĠG old", - "ĠAcadem y", - "ĠLou is", - "ell s", - "Ġsim ilar", - "ĠOlymp ics", - "il i", - "Ġde g", - "ĠB ay", - "th let", - "Ġh old", - "ĠMich ael", - "Ġind ividual", - "way s", - "Ġto g", - "Ġre al", - "Ġpr iv", - "ĠG reat", - "Ġvi ew", - "ĠM ac", - "Ġweb site", - "Ġ z", - "id ence", - "ĠZ eal", - "Ġt en", - "ĠP ress", - "Ġtog ether", - "Ġ199 5", - "u ation", - "um p", - "Ġrele ase", - "ra in", - "ĠP at", - "ĠC ong", - "ĠZeal and", - "Ġ199 2", - "ric k", - "Ġin flu", - "ot a", - "ĠVir gin", - "ĠV ol", - "Ġreport ed", - "ĠChrist ian", - "Ġc ase", - "Ġappe ared", - "ĠM us", - "ĠRep ublic", - "ĠM er", - "ĠU K", - "et work", - "Ġ199 4", - "| |", - "ar ter", - "ar th", - "Ġs ports", - "Ġoff ice", - "ĠSp anish", - "ĠChin ese", - "Ġm other", - "ou l", - "ed eral", - "ĠAfric a", - "Ġtra ck", - "ĠK ore", - "m ar", - "Ġw eek", - "2 5", - "Ġ3 1", - "c ks", - "ĠT om", - "Ġ5 0", - "Ġm y", - "Ġk e", - "i que", - "Ġme et", - "Ġnov el", - "Ġcon d", - "Ġbir th", - "Ġdevelop ed", - "en c", - "Ġform ed", - "Ġin s", - "Ġh ous", - "it ive", - "y d", - "ak er", - "Ġ196 0", - "it ing", - "Ġmed al", - "ĠB ur", - "Ġhel p", - "Ġa ut", - "ĠCar ol", - "Ġgu itar", - "ad es", - "Ġla un", - "Ġass ist", - "ĠB en", - "Ġph ot", - "ĠIn ter", - "ĠT er", - "ul a", - "k n", - "ĠD an", - "ap t", - "Ġwork ing", - "e h", - "du ction", - "Ġd oc", - "Ġar r", - "Ġm aking", - "Ġimport ant", - "Ġto urn", - "c le", - "ĠG reen", - "i ers", - "Ġarch ite", - "ĠH am", - "ĠTex as", - "ail ed", - "ud e", - "re land", - "Ġart ist", - "Ġc ast", - "ĠWh ite", - "ĠP et", - "Ġgro w", - "ed y", - "Ġm unicip", - "Ġap pl", - "Ġg ood", - "im ately", - "it ted", - "ĠWh ile", - "ĠD el", - "Ġv ot", - "b and", - "ĠP ublic", - "Ġof fer", - "t a", - "id ing", - "ĠK e", - "ĠB as", - "c ial", - "ĠS ports", - "g o", - "Ġl ess", - "Ġtrad ition", - "Ġschool s", - "m on", - "ert ain", - "ic les", - "ĠMinist er", - "r as", - "ĠJ ose", - "Ġl ive", - "id ae", - "al a", - "ĠC ons", - "Ġd ata", - "ro ll", - "one y", - "it her", - "Ġph ys", - "Ġf und", - "Ġ199 3", - "ĠDem ocrat", - "Ġty p", - "Ġother s", - "ens ive", - "Ġh uman", - "Ġsh ould", - "Ġd aughter", - "ol a", - "ĠT or", - "ab ly", - "epend ent", - "at ives", - "Ġem ploy", - "Ġro ck", - "Ġd i", - "Ġgro und", - "ĠP eter", - "osp ital", - "Ġre v", - "ĠFran k", - "Ġrec ogn", - "Ġm ater", - "Ġhim self", - "Ġst ar", - "overn or", - "all s", - "v iron", - "Ġbuild ings", - "Ġde cl", - "Ġ =", - "re y", - "ĠCath olic", - "ĠM el", - "ĠS ong", - "ut y", - "ĠRich ard", - "le g", - "Ġr ul", - ") :", - "Ġac ross", - "az ine", - "Ġav ail", - "Ġf ire", - "Ġcomp anies", - "ĠS ur", - "g en", - "h i", - "ic ation", - "ĠSw ed", - "19 5", - "al y", - "ĠB ill", - "Ġb ody", - "p ite", - "s y", - "en a", - "ate g", - "ol f", - "Ġan im", - "ant ed", - "Ġcamp aign", - "Ġst ations", - "and ing", - "at re", - "Ġl anguage", - "sh ire", - "m ost", - "ri a", - "Ġe ight", - "19 4", - "um e", - "Ġdo es", - "ĠW il", - "b our", - "Ġaver age", - "ĠM ass", - "ĠL u", - "ĠU p", - "ĠF ore", - "Ġm ot", - "Ġ199 1", - "ce ed", - "Ġbl ack", - "Ġqu al", - "Ġex ist", - "Ġbec om", - "ĠPar is", - "ĠSec ond", - "Ġplay ing", - "ut es", - "ric ket", - "o ice", - "ra el", - "ĠL at", - "Ġt ro", - "g ress", - "Ġmod ern", - "Ġl ow", - "ĠHen ry", - "em or", - "Ġdef e", - "ĠSup er", - "ĠVict or", - "he ast", - "19 3", - "Ġh ow", - "ĠS ant", - "Ġepis ode", - "Ġ18 4", - "Ġp aint", - "st ro", - "Ġc le", - "Ġ et", - "ĠC ro", - "Ġgrad u", - "o res", - "S t", - "z il", - "Ġst age", - "Ġd ivision", - "Ġd ram", - "Ġex ample", - "Ġd er", - "ĠGeor g", - "Ġc ross", - "em ents", - "Ġ4 0", - "w rit", - "ud d", - "Ġr adio", - "ad a", - "Ġne ver", - "Ġl iving", - "air s", - "ĠD ire", - "Ġperform ed", - "h ood", - "Ġf oc", - "ĠL os", - "Ġfem ale", - "emb ly", - "ch ie", - "oc key", - "and id", - "Ġw inn", - "eth od", - "ĠH on", - "Ġl ight", - "ĠS ome", - "Ġse par", - "Ġart ists", - "Ġbel ie", - "ĠRe v", - "Ġf ree", - "ĠSm ith", - "Ġpolitic ian", - "Ġac qu", - "ĠP enn", - "Ġass oci", - "w are", - "ĠOr der", - "Ġf ight", - "t ime", - "ur a", - "ent ial", - "Ġcont ract", - "ov iet", - "2 4", - "ĠChampionship s", - "ĠL ake", - "ĠB ut", - "ibr ary", - "ough t", - "Ġstr ong", - "ign ed", - "Ġsuccess ful", - "Ġmon ths", - "ĠF C", - "Ġre d", - "Ġkill ed", - "at ory", - "im ate", - "Ġfin ished", - "ĠEduc ation", - "av al", - "Ġpl aces", - "id ents", - "Ġcon struction", - "ĠCh ic", - "he ad", - "pe ople", - "k ed", - "ĠI reland", - "ĠO l", - "Ġg ave", - "Ġestablish ments", - "Ġ198 8", - "ĠC amp", - "Ġm us", - "av es", - "ĠG o", - "Ġavail able", - "ĠDe f", - "Ġcon du", - "Ġa way", - "Ġgo al", - "Ġ198 9", - "v a", - "Ġperforman ce", - "if f", - "ell ing", - "ĠO b", - "ĠS aint", - "Ġt re", - "Ġal though", - "id s", - "ĠP an", - "as c", - "ish op", - "Ġpro t", - "Ġbo oks", - "ran ch", - "il ities", - "viron ment", - "it a", - "ĠS pec", - "Ġj ournal", - "an o", - "Ġin formation", - "Ġ ide", - "ĠD ay", - "ad o", - "inal s", - "z a", - "ic ated", - "ĠFilm s", - "he re", - "ĠOlymp ic", - "Ġd am", - "ĠC ur", - "Ġt aken", - "ĠV ill", - "ĠW in", - "ĠNot es", - "le ft", - "ell a", - "Ġcap t", - "it ch", - "i qu", - "ĠBra zil", - "ĠIs rael", - "ĠD u", - "ific ant", - "Ġshow s", - "Ġfollow ed", - ", \"", - "Ġr ank", - "o o", - "Ġag re", - "ĠR ob", - "ĠC areer", - "Ġto ur", - "ug by", - "Ġc ost", - "Ġm ix", - "ĠVirgin ia", - "Ġhe alth", - "Ġfr ont", - "Ġj ud", - "om a", - "ĠG overnment", - "Ġinclud es", - "Ġaward ed", - "Ġc irc", - "ut ch", - "Ġtourn ament", - "Ġc our", - "ĠM a", - "ĠL ife", - "ĠM in", - "\" |", - "Ġfeat ures", - "ig an", - "Ġ :", - "ĠJ ust", - "I I", - "Ġvi ol", - "Ġoriginal ly", - "Ġdesign ed", - "s erv", - "ĠT our", - "ĠAt l", - "Ġhouse hold", - "ĠH ill", - "ag ed", - "nd er", - "n y", - "i os", - "Ġac cess", - "Ġmater ial", - "ĠTe am", - "Ġse ven", - "se c", - "Ġs en", - "ve y", - "Ġc ourt", - "ĠE mp", - "e g", - "ĠC arl", - "ĠIt s", - "ĠM r", - "Ġim pro", - "Ġp ut", - "om s", - "Ġc ivil", - "Ġrel ig", - "2 6", - "Ġrem ained", - "ĠP erson", - "ĠHistor ic", - "Ġs ound", - "ĠAr ts", - "Ġs il", - "ist an", - "Ġstud y", - "Ġl ab", - "en ed", - "ĠG all", - "ĠR ock", - "Ġon ce", - "ĠG ra", - "2 7", - "Ġfeat ured", - "Ġin j", - "Ġd ou", - "ĠRail way", - "er ous", - "ar ia", - "ĠS qu", - "Ġfor ces", - "atri ate", - "Ġsc ored", - "ĠL and", - "ur ity", - "Ġc y", - "Ġ ill", - "om m", - "Ġt est", - "Ġ #", - "Ġp ress", - "ac hes", - "Ġ198 7", - "ol k", - "Ġb ar", - "ĠChic ago", - "2 8", - "he st", - "it es", - "Ġmark et", - "Ġbas ketball", - "ip le", - "Ġde v", - "Ġre b", - "Ġsing er", - "Ġsign ificant", - "ĠM o", - "ach ing", - "ap s", - "il ies", - "Ġpl an", - "end er", - "Ġex ecut", - "r or", - "ĠS oviet", - "ic ations", - "re l", - "Ġlead ing", - "Ġtra ining", - "em s", - "ĠSc ot", - "v in", - "Ġpol ice", - "Ġmed ia", - "ĠFor ce", - "Ġe arn", - "ver t", - "ĠS ub", - "y e", - "ic y", - "Ġ195 0", - "ĠM il", - "C h", - "Ġm ount", - "Ġlarg est", - "Ġr ights", - "ĠS ir", - "ear ch", - "ĠComm ission", - "augh t", - "ĠT wo", - "ĠItal y", - "m ier", - "A mer", - "ĠS o", - "ĠPro fess", - "Ġ198 6", - "our ce", - "Ġm ust", - "Ġair craft", - "Ġst ri", - "ĠM od", - "Ġmod el", - "ut er", - "ĠMex ico", - "Ġ198 4", - "Ġch art", - "Ġen c", - "y p", - "Ġs em", - "ĠCl ass", - "ĠI ll", - "Ġthrough out", - "ĠPol it", - "Ġl iter", - "ist ics", - "ĠP arliament", - "Ġg old", - "Ġtrans fer", - "Ġcons ist", - "v ing", - "ĠS ince", - "ĠMar k", - "Ġinvol ved", - "Ġc ou", - "ĠC at", - "Ġlist ed", - "Ġsub sequ", - "ord er", - "Ġst ated", - "ien ces", - "Ġwh ite", - "ĠO ff", - "ĠAn n", - "Ġw id", - "un k", - "Ġbo ard", - "s el", - "Ġintro duced", - "Ġrepl aced", - "ĠIr ish", - "Ġs ugg", - "ann el", - "Ġe arl", - "Ġse en", - "Ġcompet ition", - "Ġb i", - "Ġ18 3", - "un s", - "ĠE r", - "ĠProv ince", - "ĠFlor ida", - "Ġc andid", - "Ġd iv", - "if t", - "6 0", - "2 9", - "Ġtrans l", - "ĠN avy", - "ĠM ur", - "Ġ198 5", - "Ġwrit er", - "Ġevent ually", - "Ġpriv ate", - "Ġv ia", - "Ġresp ons", - "rib ution", - "ut ure", - "ĠTe chn", - "Ġcrit ic", - "Ġresult s", - "Ġent ire", - "u ff", - "Ġvoc als", - "c her", - "Ġab le", - "u z", - "um m", - "ĠD o", - "te xt", - "Ġr an", - "Ġadd ed", - "ret ary", - "ĠAl though", - "Ġc ollege", - "ĠD en", - "Ġpro ble", - "ĠO per", - "ĠComm ittee", - "ĠF estival", - "Ġfour th", - "ĠS il", - "o ch", - "Ġp ast", - "Ġcount ries", - "ĠF in", - "as k", - "ĠB us", - "ro ad", - "A S", - "el t", - "ĠW ales", - "c ript", - "Ġw ind", - "ĠAngel es", - "y r", - "ĠO ver", - "Ġcent ral", - "Ġst e", - "Ġact ress", - "m b", - "uf act", - "Ġsur v", - "as ing", - "ul arly", - "Ġa ud", - "Ġwrit ers", - "u a", - "ian o", - "Ġcomm and", - "Ġass ociation", - "Ġle ast", - "m in", - "Ġres pect", - "i res", - "ĠBro wn", - "ĠE v", - "Ġl oss", - "yl van", - "Amer ican", - "Ġsp ace", - "por ary", - "Ġs er", - "A R", - "ĠSc ience", - "ĠO ut", - "mer cial", - "8 0", - "ĠN orthern", - "Ġun its", - "ĠM ost", - "ab ility", - "f ic", - "ĠR h", - "Ġn omin", - "ĠF ound", - "ĠSt ar", - "ĠRuss ia", - "Ġm inist", - "Ġs ch", - "b b", - "ok e", - "ĠU k", - "ĠG od", - "r up", - "Ġdeg ree", - "i ro", - "ĠCong ress", - "ĠCarol ina", - "Ġst aff", - "Ġdisc over", - "Ġ198 3", - "Ġr ange", - "Ġst ates", - "ib l", - "ĠAr g", - "ri al", - "Ġcl ose", - "ĠR os", - "Ġdoc ument", - "ra w", - "ĠJ un", - "Ġbroad cast", - "n ow", - "Ġf ig", - "Ġab ove", - "pl es", - "Ġre ached", - "med i", - "g ian", - "l or", - "Ġc ensus", - "ĠServ ice", - "st e", - "ant ic", - "Ġpl ant", - "ĠCol umb", - "ĠL iber", - "ĠE s", - "ĠC r", - "Ġch ange", - "erv e", - "T V", - "Ġprov ided", - "ĠJose ph", - "ĠO h", - "Ġse asons", - "Ġt reat", - "Ġcurrent ly", - "oy s", - "Ġex hib", - "ĠO ld", - "i ents", - "b ur", - "rough t", - "Ġg et", - "Ġcont ribut", - "Ġexp ress", - "ylvan ia", - "l im", - "Ġp ur", - "Ġe ither", - "Ġf av", - "Ġ( \"", - "Ġch ampionship", - "r ative", - "ĠS a", - "f ace", - "Ġtra vel", - "or por", - "Ġac cept", - "Ġpl aced", - "u x", - "sy ch", - "Ġmiss ing", - "Ġup on", - "ĠF re", - "al ed", - "F A", - "Ġrail way", - ") ;", - "bo ard", - "ĠS eries", - "Ġs aw", - "ad ium", - "Ġinter est", - "st ant", - "ian a", - "Ġstru ct", - "ĠC am", - "F L", - "ĠP ac", - "ab it", - "ist ic", - "ip l", - "Ġ198 2", - "Ġcent er", - "Ġm ur", - "w ell", - "Ġk ey", - "Ġ !", - "Ġa ction", - "ĠAss embly", - "a ut", - "ĠF ort", - "ĠD ou", - "Ġocc ur", - "ed s", - "Ġty pe", - "ĠM os", - "cept ion", - "Ġp ot", - "ĠM ic", - "kn own", - "p ly", - "is es", - "Ġc op", - "ĠF urther", - "ĠF ollow", - "Ġn ight", - "Ġa chie", - "ig er", - "g l", - "ĠS k", - "Ġd u", - "ĠR am", - "Ġatt ended", - "Ġ197 9", - "stit ution", - "Ġle arn", - "ĠM ill", - "Ġcharact ers", - "ĠB re", - "l anguage", - "ĠB attle", - "ĠA rab", - "Ġse x", - "ubl ican", - "ay ing", - "ĠM at", - "az z", - "Ġcap ital", - "p ress", - "ĠP opul", - "et te", - "Ġme as", - "Ġdec ided", - "ĠM ain", - "ĠW ood", - "Ġf if", - "l am", - "i h", - "ĠM ajor", - "ĠT ro", - "ele b", - "Ġar g", - "Ġdec ision", - ". )", - "ult ural", - "Ġprevious ly", - "Ġdra w", - "ĠRes earch", - "eng th", - "ar ily", - "ĠEmp ire", - "ĠG reek", - "ĠF red", - "ult ure", - "c a", - "Ġst re", - "Ġde stro", - "Ġne igh", - "Ġ197 2", - "Ġlead er", - "Ġh om", - "d en", - "ĠDemocrat ic", - "g r", - "Ġappro x", - "am ily", - "Ġstud io", - "Ġse ction", - "er o", - "Ġus ually", - "Ġme an", - "ĠPenn s", - "Ġ197 6", - "or ing", - "Ġm ass", - "ĠS ol", - "Ġdefe ated", - "ĠOffic ial", - "ĠH a", - "Ġsing les", - "and a", - "Ġed ition", - "ĠMart in", - "u an", - "ĠD utch", - "Ġre ve", - "Ġocc up", - "ow ers", - "st ra", - "re me", - "ĠC le", - "ĠS un", - "p ing", - "ĠFollow ing", - "Ġkn ow", - "Ġg rand", - "Ġn atural", - "Ġinst ead", - "Ġeff ort", - "ĠMed al", - "ĠJ im", - "ĠScott ish", - "Ġp ain", - "Ġpo et", - "Ġact or", - "Ġr iver", - "ĠSp ain", - "ch an", - "Ġf arm", - "Ġp arent", - "Ġacc ount", - "il s", - "ig a", - "ĠS ocial", - "ĠPenns ylvania", - "Ġb ur", - "B A", - "or a", - "Ġsub ject", - "st r", - "c el", - "c ell", - "Ġ198 1", - "Ġw inning", - "Ġproduc er", - "ĠG ar", - "inc ip", - "ans as", - "ĠM embers", - "Ġinvest ig", - "Ġwh ose", - "ult y", - "ult s", - "Ġm ethod", - "ĠW al", - "um ents", - "Ġpl ann", - "Ġ197 8", - "ĠL ove", - "Ġpart s", - "ĠIn c", - "Ġact ive", - "Ġ197 4", - "Ġrepresent ed", - "in ent", - "ĠM ilitary", - "Ġmov ement", - "at o", - "Ġg e", - "ĠH ow", - "Ġprim ary", - "Ġprov ide", - "ĠAs ian", - "Ġfam ilies", - "Ġcult ure", - "Ġ196 8", - "ĠP ak", - "w an", - "Ġrelations hip", - "Ġplay s", - "9 0", - "ĠL ater", - "ĠF inal", - "b ased", - "Ġf ar", - "Ġp ark", - "ĠR adio", - "Ġsc ient", - "Ġorgan iz", - "pt ion", - "Ġpr ison", - "ĠJ ud", - "Ġde al", - "ĠLe e", - "Ġp red", - "Ġn orthern", - "Ġ194 0", - "Ġs outhern", - "Ġbeh ind", - "Ġp urch", - "ĠE p", - "pos ition", - "r ig", - "Ġt ax", - "ĠH ot", - "cl us", - "ĠT w", - "ar io", - "Ġ197 5", - "ug u", - "ĠC ross", - "l a", - "ĠI ran", - "ĠYou ng", - "ig ital", - "Ġmus ical", - "ĠBu ild", - "ad y", - "ens ion", - "Ġs ize", - "y er", - "ĠC ivil", - "ĠCh ief", - "Ġb ank", - "Ġl ik", - "7 0", - "omet imes", - "Ġ197 7", - "se e", - "ri e", - "Ġl ower", - "ĠB ul", - "ing u", - "ĠBo ard", - "w er", - "ĠB et", - ".. .", - "Ġgo als", - "isc o", - "ĠS ar", - "ĠSp ace", - "Ġb rought", - "ĠP ost", - "Ġread ing", - "Ġco ast", - "Ġnew sp", - "ĠB ig", - "ĠB ase", - "erg y", - "Ġout side", - "ĠL oc", - "Ġac adem", - "ĠH el", - "Ġs us", - "s k", - "ĠS outhern", - "ĠReg ister", - "\" )", - "n ot", - "Ġp ers", - "Ġcolle ction", - "Ġh ard", - "Ġorgan ization", - "im b", - "ar ing", - "Ġc ut", - "Ġ i", - "ĠC D", - "end s", - "ĠH aw", - "Ġr ather", - "all ed", - "ĠB ack", - "ers ey", - "Ġ197 3", - "Ġf all", - "m ark", - "Ġclos ed", - "a o", - "Ġindust ry", - "Ġrun s", - "Ġwrit ing", - "al i", - "Ġn etwork", - "Ġg irl", - "Ġend ed", - "N A", - "Ġc ricket", - "ĠJ ack", - "Ġman ufact", - "Ġc are", - "h an", - "Ġdram a", - "Ġk ing", - "ĠL uc", - "or se", - "Ġfor ce", - "Ġsh ot", - "ir m", - "Ġfootball er", - "Ġ193 0", - "ĠAd m", - "it an", - "Ġsystem s", - "anc ial", - "p an", - "at i", - "pec ially", - "he t", - "aw a", - "ĠO x", - "I D", - "ĠEd ward", - "ĠEng ine", - "ct ive", - "Ġh it", - "ĠL ong", - "Ġes c", - "ul ation", - "oun ter", - "Ġposs ible", - "Ġw ood", - "Ġim m", - "ĠVal ley", - "ĠR el", - "Ġreg ard", - "ĠU nder", - "ĠT ri", - "Ġ194 5", - "Ġmat ches", - "m ond", - "Ġallow ed", - "Ġstud ies", - "ĠV er", - "ĠU r", - "ĠS pr", - "ĠT imes", - "Ġne g", - "Ġal most", - "it ors", - "ĠRep ublican", - "Ġreg ular", - "Ġ196 9", - "ven ue", - "id er", - "Ġstru cture", - "Ġst op", - "in ary", - "Ġ197 1", - "Ġmag azine", - "ĠJew ish", - "em ic", - "ur b", - "Ġchang ed", - "Ġcomm ission", - "Ġfre qu", - "c ient", - "enn is", - "ĠTe levision", - "in ated", - "l ike", - "ĠJ ul", - "ent h", - "Ġc at", - "ĠB ob", - "back ground", - "ĠP o", - "ĠB ank", - "Ġd en", - "ĠMich igan", - "Ġis land", - "c ing", - "Ġpl at", - "Ġsett le", - "Ġsch ol", - "ĠD isc", - "Ġlaun ched", - "Ġb all", - "ĠM ah", - "Ġoper ations", - "it iz", - "ĠC amb", - "air man", - "ov ers", - "Ġw oman", - "ĠPl aces", - "velop ment", - "Ġbeg inning", - "ac ing", - "Ġperson al", - "ĠJ er", - "ĠO s", - "Ġter rit", - "k o", - "Ġto wards", - "3 5", - "on n", - "Ġte xt", - "i as", - "Ġtrans port", - "ĠMc C", - "Ġgen us", - "ĠA thlet", - "Ġown ed", - "Ġdet erm", - "Ġt aking", - "Ġn ar", - "Ġf ood", - "ĠOp en", - "Ġmanag er", - "et ts", - "Ġacc ording", - "e es", - "Ġ196 7", - "Ġc ases", - "ĠT im", - "Ġm er", - "ĠH ung", - "ĠHe alth", - "ip s", - "y an", - "Ġn ames", - "ak a", - "Ġind ependent", - "Ġcon stru", - "Ġwh om", - "Ġp ay", - "us band", - "ĠV i", - "ly ing", - "Ġ196 4", - "ol s", - "Ġsc ience", - "Ġf a", - "Ġrem ov", - "Ġoffic er", - "Ġc red", - "ĠPhil ipp", - "Ġ )", - "ĠOh io", - "ĠB h", - "Ġsc ore", - "st ate", - "ĠK ent", - "Ġapprox imately", - "ĠIn f", - "Ġmin or", - "Ġv eh", - "ĠT op", - "Ġob serv", - "ĠL ine", - "ĠF r", - "7 5", - "ĠUn ivers", - "Ġcomp let", - "Ġbre ak", - "ĠR ou", - "im a", - "ĠPol and", - "Ġfun ction", - "ib ility", - "ĠJ o", - "b ury", - "ino is", - "Ġe ver", - "Ġsc reen", - "b on", - "Ġconc ern", - "Ġsp ent", - "Ġar my", - "ĠG al", - "ĠArg ent", - "Ġaddition al", - "ct ing", - "g a", - "pe cted", - "Ġsqu ad", - "Ġ6 0", - "ĠD is", - "o id", - "Ġph il", - "ĠII I", - "ĠA re", - "o ir", - "Ġnot ed", - "in et", - "ĠScot land", - "ĠM ot", - "ĠG h", - "Ġs elf", - "Ġob ject", - "en ced", - "Ġcomple x", - "Ġbo x", - "ir a", - "Ġc eleb", - "amp ions", - "ĠT re", - "ach us", - "ĠL ord", - "if y", - "w w", - "Ġiss ues", - "Ġcount y", - "ĠPol ish", - "Ġ19 20", - "os h", - "il ed", - "Ġch ief", - "ĠB or", - "en ces", - "Ġsen ior", - "es h", - "k ing", - "ĠQue en", - "Ġc he", - "Ġmon th", - "Ġb attle", - ": #", - "Ġcom mercial", - "ost on", - "Ġl ived", - "Ġs ummer", - "Ġele ctions", - "4 5", - "Ġits elf", - "Ġd ate", - "Ġmult iple", - "Ġrel ated", - "uf fer", - "ĠPac ific", - "Ġs at", - "read y", - "Ġpolitic ians", - "Ġfoc us", - "Ġhig hest", - "Ġro ute", - "ĠNew s", - "Ġso on", - "ĠM att", - "ĠJ r", - "ĠIll inois", - "Ġtradition al", - "d own", - "Ġto o", - "Ġl ittle", - "Ġf uture", - "Ġle t", - "Ġqu est", - "Ġes pecially", - "ĠDire ctor", - "Ġhig her", - "Ġopen ing", - "ay a", - "ard en", - "Ġsup er", - "Ġlo ok", - "ĠE nd", - "Ġ196 5", - "um s", - "Ġm oney", - "Ġc al", - "ac her", - "ĠO k", - "ĠBrit ain", - "Ġrequ ired", - "ĠRep resent", - "achus etts", - "f ect", - "Ġinter view", - "Ġun ion", - "ĠCon ference", - "ĠD i", - "ĠJ ersey", - "Ġ196 6", - "bur gh", - "em porary", - "ĠS and", - "ĠGeorg ia", - "Ġen vironment", - "r ich", - "ad or", - "Ġed itor", - "ct ic", - "ob al", - "Ġcont ains", - "Ġappear ance", - "ĠC y", - "ĠAs ia", - "Ġbel ow", - "Ġ18 0", - "k ins", - "Ġproper ty", - "Ġpri or", - "ĠG overnor", - "ĠA z", - "19 0", - "ĠC olle", - "ĠL ab", - "ĠMass achusetts", - "Ġvict ory", - "h ouse", - "Ġme ans", - "Ġsele cted", - "Ġent ered", - "ch ange", - "on se", - "ĠB oston", - "ĠF er", - "Ġstud ied", - "d s", - "Ġpro f", - "ig r", - "p ut", - "Ġh usband", - "ĠL o", - "ĠBo ok", - "Ġpract ice", - "ĠEast ern", - "S A", - "Ġe mer", - "Ġsur round", - "Ġloc ation", - "al ys", - "st anding", - "Ġex am", - "ut en", - "Ġassoci ated", - "emor ial", - "ĠTh at", - "Ġun it", - "ĠC O", - "ĠJ ournal", - "vent ion", - "Ġm ission", - "Ġstruct ures", - "Ġb ass", - "Ġr ad", - "ĠHe ad", - "Ġmur der", - "Ġtr ade", - "j a", - "Ġ3 5", - "Ġd on", - "w a", - "Ġprofess or", - "ĠL ibrary", - "ĠColumb ia", - "ĠB ang", - "Ġc ertain", - "Ġcent re", - "ĠJ ac", - "Ġstand ard", - "Ġship s", - "ĠG re", - "F C", - "Ġret ired", - "op er", - "Ġse at", - "Ġad op", - "Ġearl ier", - "ĠPr ince", - "Ġar ran", - "Ġ ens", - "3 3", - "i i", - "Ġrun ning", - "Ġmanag ement", - "ĠM ore", - "Ġ er", - "Ġbecom ing", - "Ġd om", - "ĠJe an", - "Ġde partment", - "ĠG ame", - "w ith", - "ĠF ield", - "Ġstud ent", - "ry ing", - "Ġ194 4", - "ĠM P", - "Ġactiv ities", - "t ained", - "Ġso ft", - "Ġt rib", - "ĠThe atre", - "ĠJ ones", - "Ġclub s", - "Ġcom e", - "ĠWilliam s", - "Ġl ength", - "an ks", - "Ġem b", - "Ġmunicip ality", - "il a", - "Ġleg al", - "and ed", - "i y", - "al le", - "Ġcoll abor", - "ĠSt an", - "ail s", - "ig g", - "ĠDe velopment", - "Ġmed ical", - "Ġact ors", - "Ġs uffer", - "Ġcom edy", - "arri age", - "in em", - "N E", - "ĠM iddle", - "gy pt", - "ian ce", - "Ġleg isl", - "Ġinit ially", - "om y", - "ĠW eb", - "Ġqu arter", - "Ġcaus ed", - "9 9", - "ĠM any", - "Ġal ready", - "ad el", - "Ġs ometimes", - "Ġp ie", - "s en", - "b re", - "ĠS oc", - "Ġp en", - "Ġth us", - "Ġtra in", - "ĠCo ast", - "ĠFranc isco", - "ĠE conom", - "ĠV an", - "Ġdestro y", - "Ġmov e", - "Ġoper ated", - "et ic", - "ĠI f", - "Ġfeat ure", - "ĠB ow", - "ĠH ong", - "Ġgeneral ly", - "ĠSt ep", - "ĠK ong", - "Ġar rest", - "Ġfore st", - "Ġincre ased", - "Ġequ ip", - "ĠD et", - "ĠS at", - "Ġold er", - "Ġh ockey", - "Ġl ove", - "ĠK ar", - "ĠW ater", - "ant ry", - "Ġcour se", - "Ġw ide", - "ĠOr gan", - "tra ck", - "Ġwest ern", - "ĠM u", - "ĠW ind", - "sp an", - "Ġnum erous", - "ĠAl bert", - "am m", - "ĠBl ue", - "Ġcon v", - "Ġus es", - "Ġcompet ed", - "n o", - "Ġc ouncil", - "Ġnew s", - "Ġra p", - "ĠMan ag", - "Ġg ra", - "Ġann ual", - "Ġdif fic", - "a res", - "ee ks", - "Ġs af", - "ĠF ed", - "is ation", - "ĠJohn son", - "ĠP res", - "Ġ196 3", - "Ġchang es", - "ĠCons erv", - "and s", - "k en", - "Ġv ir", - "ĠE ll", - "ĠD ie", - "ĠM id", - "ĠCh ild", - "on ia", - "ĠPerson al", - "ĠSy stem", - "el a", - "Ġmajor ity", - "og rap", - "Ġs u", - "ĠDe ath", - "ill a", - "Ġterm s", - "Ġserv ing", - "ĠB C", - "ĠCent re", - "ri ef", - "Ġiss ue", - "ul pt", - "Ġf ederal", - "ĠA k", - "att al", - "stit u", - "Ġab s", - "ĠB iography", - "Ġant i", - "ad d", - "Ġind ic", - "ple ment", - "Ġperson nel", - "Ġbet ter", - "Ġcol on", - "Ġun iversity", - "ab eth", - "ĠBro ad", - "Ġ196 2", - "ul f", - "Ġth reat", - "ĠSer b", - "el le", - "Ġrelig ious", - "ĠA ri", - "Ġse a", - "p re", - "Ġc ust", - "Ġs ister", - "ĠT ime", - "ĠE gypt", - "I n", - "ĠB al", - "Ġke ep", - "it ation", - "ĠOx ford", - "ak h", - "ĠB ir", - "ĠSt ation", - "ĠT em", - "Ġpro b", - "ĠG ood", - "ĠTrans port", - "ĠOff ice", - "A C", - "ĠIn t", - "ĠW rit", - "Ġd rop", - "Ġlin es", - "ĠS pe", - "Ġpass ed", - "ĠH ome", - "ĠT am", - "as y", - "ĠAd am", - "Ġd ed", - "ĠSpec ial", - "Ġl ack", - "ĠIs lam", - "ĠW ild", - "Ġacc om", - "che n", - "ĠAlex ander", - "ĠL ittle", - "ĠTra ck", - "t ies", - "ĠComm on", - "Ġh ot", - "Ġexp atriate", - "Ġthough t", - "Ġor d", - "ĠSwed ish", - "man n", - "art ers", - "Ġoffic ers", - "ĠF our", - "ie uten", - "ĠL y", - "ir it", - "is her", - "ce an", - "Ġrecord ing", - "Ġclaim ed", - "Ġh um", - "Ġfor ced", - "ur ban", - "ĠU l", - "Ġprogram s", - "9 5", - "ĠM ax", - "Ġeconom ic", - "Ġstat us", - "Ġdisc uss", - "Ġ4 5", - "ĠK en", - "w ar", - "ĠFound ation", - "Ġn ine", - "Ġinst r", - "Ġlim ited", - "un n", - "orpor ated", - "; \"", - "Ġm useum", - "a ction", - "Ġsupport ed", - "it age", - "Ġim medi", - "ĠB ern", - "Ġ194 2", - "Ġmin utes", - "ĠSen ate", - "Ġcomple te", - "Ġp il", - "acks on", - "ub e", - "Ġcre ate", - "b l", - "Ġgen er", - "ĠCor ps", - "Ġover all", - "Ġh ours", - "Ġsubsequ ently", - "h ire", - "Ġsh oot", - "Ġpresent ed", - "Ġb ene", - "8 8", - "Ġmeet ing", - "ĠThe ir", - "ph y", - "ĠEn ter", - "ĠLat in", - "Ġrem ains", - "ĠF ar", - "ĠGall ery", - "ĠC ard", - "ĠR ay", - "Ġ194 8", - "ro wn", - "Ġ ice", - "ing er", - "ĠAd d", - "ig inal", - "ĠAnd rew", - "Ġdes cent", - "Ġra ised", - "uc le", - "Ġearn ed", - "Ġin stitut", - "v is", - "Ġl ic", - "Ġocc as", - "ĠB ibl", - "A T", - "Ġbel ong", - "ct ors", - "Ġev idence", - "n am", - "Ġcommun ities", - "ĠA sh", - "Ġch all", - "ĠVictor ia", - "Ġgo ing", - "Ġ194 3", - "ĠO f", - "ĠF I", - "3 6", - "iz ing", - "Ġplat form", - "Ġmost ly", - "un a", - "ap ers", - "Ġ195 6", - "Ġj ob", - "ĠC reek", - "is k", - "Ġ196 1", - "ĠSe a", - "Ġhistor ical", - "u ge", - "um ber", - "Ġw eeks", - "Ġal tern", - "m i", - "Ġf le", - "Ġappear ances", - "ĠEl iz", - "Ġse qu", - "w ide", - "at ers", - "ĠSy d", - "ĠBer lin", - "ail y", - "Ġ6 5", - "ĠM inn", - "ur t", - "ĠDe v", - "Ġresp onse", - "ĠS und", - "ĠCor por", - "ĠT y", - "Ġg ive", - "4 7", - "Ġs om", - "ĠJ ackson", - "A F", - "ze ch", - "ieuten ant", - "Ġper cent", - "ĠC orn", - "ĠKore an", - "Ġpro p", - "Ġb ound", - "Ġsh own", - "Ġar m", - "ĠC op", - "Ġin sp", - "w in", - "im s", - "Ġcon cept", - "Ġ195 8", - "ir ing", - "Ġo pt", - "B S", - "Ġreg ional", - "ĠDan iel", - "Ġpartic ularly", - "Ġinc ome", - "g u", - "ĠAl bum", - "ĠW eek", - "Ġacqu ired", - "Ġparent s", - "Ġfore ign", - "ĠR aj", - "Ġb omb", - "ĠSec retary", - "ĠEle ct", - "ĠIs lands", - "Ġm ention", - "Ġpol icy", - "Ġy outh", - "ĠN ight", - "im um", - "ont o", - "Ġc ell", - "alys is", - "Ġ195 9", - "ste in", - "Ġm iddle", - "enc ies", - "3 8", - "che ster", - "Ġdis e", - "re m", - "Ġrecord s", - "ent y", - "ĠPol ice", - "Ġin n", - "Ġt akes", - "os oph", - "4 8", - "Ġlong er", - "ĠB BC", - "Ġl os", - "Ġg ot", - "Ġhel ped", - "ell ed", - "Ġpartic ular", - "Ġf ailed", - "ri ed", - "Ġappe ars", - "ĠG irl", - "Ġ ver", - "Ġpromot ed", - "ĠDes pite", - "Ġa wards", - "on ic", - "Ġpr incip", - "Ġst ep", - "Ġ194 6", - "ĠTh ree", - "ent al", - "st one", - "Ġfam ous", - "Ġbl ock", - "ĠKore a", - "Ġrem ain", - "out heast", - "Ġthe ory", - "ĠR od", - "olog ist", - "Ġin te", - "ag n", - "Ġv ote", - "Ġfin ancial", - "Ġorganiz ations", - "ak ers", - "Ġle aving", - "ĠAt t", - "Ġtra cks", - "ĠM ov", - "ĠR og", - "Ġeast ern", - "o z", - "led ge", - "Ġg overn", - "Ġbase ball", - "ĠB i", - "Ġp sych", - "Ġ194 1", - "Ġm em", - "ĠW ork", - "Ġtechn ology", - "Ġ3 2", - "Ġen ergy", - "v ement", - "cl ass", - "om er", - "Ġsc hed", - "Ġv on", - "if ying", - "Ġm ach", - "y o", - "Ġcompos ed", - "ron ze", - "Ġh app", - "4 6", - "Ġrefer red", - "b ers", - "ĠW all", - "ĠT ax", - "ĠReg iment", - "Ġspec ific", - "Ġcre w", - "ĠSyd ney", - "ĠF amily", - "3 7", - "Ġqu ick", - "em et", - "ĠH ospital", - "Ġincre ase", - "c ul", - "ĠM unicip", - "ĠK enn", - "Ġc itiz", - "Ġbelie ved", - "Ġrem aining", - "Ġw ord", - "ĠC oll", - "ĠSh ow", - "Ġprov ince", - "Ġc ateg", - "Ġlarg er", - "ĠJ oe", - "Ġhous es", - "ĠCh arl", - "rop ol", - "ĠV iet", - "ĠC zech", - "te en", - "Ġh ospital", - "v est", - "c an", - "Ġc arried", - "ĠO tt", - "ĠL im", - "Ġ eth", - "T h", - "ĠV en", - "ric e", - "il ly", - "ou ri", - "ĠBus iness", - "Ġam ount", - "Ġl atter", - "ĠH y", - "ĠW ay", - "Ġtro ops", - "ĠF ederal", - "th ur", - "istric ts", - "Ġ195 7", - "Ġd iss", - "Ġ193 9", - "C C", - "Ġ( ),", - "ĠAr m", - "Ġstart ing", - "ĠTur k", - "Ġarchite ct", - "ov a", - "ĠP en", - "9 6", - "Ġ194 7", - "sel ves", - "ment ary", - "im ated", - "Ġthem selves", - "Ġl ay", - "Ġb rand", - "ĠQue ens", - "ĠD er", - "Ġt arg", - "l av", - "rup t", - "Ġpro posed", - "Ġch arg", - "Ġn orm", - "9 8", - "Ġfor t", - "ut s", - "Ġro om", - "Ġb ring", - "Ġepis odes", - "Ġn ative", - "ĠR et", - "Ġc er", - "Ġ195 2", - "Ġr ate", - "ĠFor m", - "ĠB oth", - "ĠO nt", - "Ġindividual s", - "ĠW orks", - "ĠB and", - "eng er", - "Ġgradu ated", - "Ġassist ant", - "Ġ3 6", - "m ore", - "e ch", - "ut t", - "ur ies", - "Ġp ra", - "Ġl og", - "ĠB ab", - "Ġwinn er", - "Ġform s", - "Ġcult ural", - "p ose", - "Ġde part", - "ĠPri ze", - "Ġ195 5", - "Ġc ities", - "itt ing", - "Ġsur face", - "Ġc hem", - "he w", - "ĠPr ime", - "j i", - "Ġoffer ed", - "ĠE arth", - "ĠJ on", - "Ġv en", - "a is", - "Ġdel iver", - "ph ia", - "ĠCol or", - "Ġm erg", - "er b", - "Ġhe avy", - "ĠB oy", - "ĠTown ship", - "ĠT ay", - "ous ly", - "ĠT od", - "es ota", - "Ġexecut ive", - "Ġon line", - "ed d", - "9 7", - "Ġs pl", - "Ġpre vent", - "ĠJe ff", - "ĠBo oks", - "Ġm arriage", - "Ġmean ing", - "ĠPre mier", - "angu ages", - "A r", - "Ġad j", - "/ /", - "Ġt able", - "enn es", - "ĠL es", - "ĠRou te", - "Ġnewsp aper", - "ĠN ether", - "ĠM ir", - "ĠMinist ry", - "Ġsepar ate", - "Ġs ociety", - "Ġd yn", - "vers e", - "Ġcons ists", - "ound s", - "ell ig", - "ĠS em", - "ĠD ist", - "Ġfif th", - "c i", - "ion e", - "ĠNot able", - "per or", - "ĠEliz abeth", - "ou ra", - "Ġb ridge", - "ĠJ es", - "ĠB ell", - "Ġpe ak", - "ĠE st", - "ic ted", - "ĠAnt on", - "I S", - "Ġto day", - "ĠMinn esota", - "ro vers", - "Ġsuc ceed", - "Ġ ess", - "ĠB ol", - "adel phia", - "Ġexper ience", - "ĠBase ball", - "ran e", - "Ġf ail", - "Ġserv e", - "f it", - "ĠP ubl", - "Ġcond itions", - "Ġvari ety", - "ĠJust ice", - "Ġcomp l", - "Ġb rief", - "it ude", - "Ġf oot", - "h y", - "ĠTor onto", - "Ġlab el", - "Ġtransfer red", - "k er", - "u ated", - "3 4", - "Ġtem per", - "ess ion", - "Ġcandid ate", - "Ġb order", - "m as", - "Ġs ource", - "ĠH uman", - "ron ic", - "ic ine", - "ĠOnt ario", - "Ġhousehold s", - "res p", - "Ġpart n", - "ran ce", - "Ġmain ly", - "Ġmov ie", - "al og", - "ĠSqu ad", - "ĠSup reme", - "Ġalong side", - "ĠH ind", - "ĠA ut", - "z y", - "ĠM ike", - "Ġdes pite", - ": //", - "ĠCh ap", - "Ġsc ulpt", - "Ġrequ ire", - "ĠL em", - "in ct", - "Ġal ways", - "ĠS om", - "a ult", - "ĠReg ion", - "ĠB ad", - "ĠB orn", - "ĠL ew", - "ĠL ight", - "ĠN ations", - "ĠT ok", - "ĠB a", - "ĠSong s", - "ric s", - "Ġpart ies", - "we ight", - "e v", - "Ġ194 9", - "Ġ195 4", - "u ing", - "Ġoper ation", - "Ġiss ued", - "Ġdou ble", - "ic ks", - "ĠPro gram", - "Ġ( ,", - "ĠI d", - "an th", - "ĠW el", - "attal ion", - "Ġpo or", - "b it", - "n es", - "3 1", - "ĠAn other", - "Ġext ended", - "sec ut", - "Ġb r", - "Ġdem on", - "ort heast", - "Ġme chan", - "ĠAn th", - "Ġpl ans", - "Ġf ace", - "ĠD un", - "Ġprov ides", - "ĠC E", - "ĠA ff", - "Ġsold iers", - "Ġm akes", - "Ġart icle", - "Ġturn ed", - "Ġinflu ence", - "R A", - "Ġ8 0", - "Ġdef eat", - "Ġrespons ible", - "Ġsil ver", - "bour ne", - "Ġd one", - "Ġro w", - "Ġj un", - "Ġs n", - "ĠHar ris", - "Ġ195 3", - "ĠA h", - "Ġarr ived", - "ra ine", - "ĠStep hen", - "er land", - "ill ed", - "Ġfeat uring", - "ĠB rad", - "Ġh ar", - "ĠMex ican", - "Ġdiffic ult", - "ĠPhil adelphia", - "w orth", - "ĠSt adium", - "Ġr ugby", - "che stra", - "os a", - "Ġst ories", - "Ġnear by", - "8 5", - "Ġm aster", - "Ġspe ed", - "ons in", - "Ġun ivers", - "Ġex cept", - "Ġa thlet", - "pt on", - "ĠSt at", - "ĠAir port", - "ĠA v", - "Ġcap ac", - "ĠCh art", - "l ers", - "Ġc orn", - "Ġhon or", - "ĠPak istan", - "om ot", - "isc onsin", - "ĠT ai", - "av en", - "ri f", - "writ er", - "b ass", - "ĠSant a", - "ĠNether lands", - "Ġparticip ated", - "Ġo il", - "ag on", - "Ġres idents", - "at ively", - "ĠC rit", - "Ġ7 0", - "Ġs aying", - "m ission", - "Ġwinn ers", - "av a", - "Ġmanag ed", - "Ġst ay", - "Ġf ellow", - "e ction", - "Ġadminist rative", - "ĠK ir", - "ĠD am", - "l ight", - "ob ile", - "Ġelect ric", - "p on", - "Ġorig in", - "b a", - "Ġcon stitu", - "ĠMed ia", - "Ġdiscover ed", - "Ġm ight", - "um ed", - "und red", - "Ġcover ed", - "rop ical", - "ĠRev olution", - "ĠProfess or", - "ĠBr ig", - "Ġren amed", - "Ġs urn", - "n s", - "or g", - "ĠInd ones", - "Ġback ground", - "Ġmunicip al", - "8 6", - "ĠW isconsin", - "Ġlik ely", - "ĠH o", - "Ġcont ra", - "d is", - "ĠCh ris", - "Ġin h", - "ĠA venue", - "Ġrec ent", - "ĠGu ard", - "Ġmusic ians", - "ĠPe ak", - "ĠR ome", - "Ġ195 1", - "Ġpar ish", - "4 4", - "Ġele ments", - "ĠC ub", - "Ġto ld", - "ig en", - "ran ge", - "qu arters", - "ac hel", - "Ġv an", - "an cy", - "Ġas ked", - "Ġg un", - "Ġ +", - "igh ter", - "Ġconstru cted", - "Ġcon fl", - "ĠPr im", - "Ġproble ms", - "ĠTechn ology", - "ĠK im", - "Ġ ult", - "Ġfinal ly", - "ow a", - "7 6", - "ĠS us", - "Ġhe art", - "ĠS her", - "Ġle ave", - "Ġo ur", - "oc ks", - "est abl", - "Ġn ature", - "emet ery", - "Ġneigh bor", - "ir med", - "ĠP ers", - "ke e", - "Ġpro gress", - "Ġprodu cts", - "ĠMus lim", - "ĠCamb ridge", - "ĠL i", - "Ġth r", - "Ġp ick", - "ctor al", - "we gian", - "Ġhe re", - "or ation", - "ĠInd ust", - "ot o", - "Ġimp act", - "Ġnear ly", - "ĠFore st", - "Ġdr ug", - "Ġp aper", - "ĠDu ke", - "ĠB ishop", - "Ġc ause", - "5 5", - "Ġp age", - "Ġen ough", - "Ġp ath", - "g ing", - "Ġw anted", - "ĠL ady", - "Ġsub s", - "m et", - "Ġde ad", - "am ber", - "Ġmedal ists", - "w ick", - "ĠSl ov", - "per ial", - "ĠLeg isl", - "r im", - "Ġreve aled", - "ap ed", - "Ġarchite cture", - "ĠEx p", - "ĠP u", - "Ġra ces", - "ric t", - "ĠC a", - "Ġne cess", - "Ġch ampion", - "Ġsec urity", - "n ic", - "s s", - "ĠCommun ity", - "ist ance", - "Ġdirect ly", - "ens ity", - "Ġsol o", - "ĠSt r", - "g et", - "Ġv oice", - "ĠWil son", - "3 2", - "Ġp it", - "epend ence", - "ins on", - "ĠPro ject", - "Ġadd ress", - "Ġsus p", - "ĠS ab", - "ĠP ower", - "orn ing", - "ĠAdm inist", - "Ġl ives", - "Ġan cient", - "Ġlead ers", - "Ġ193 6", - "Ġminist er", - "ĠCorpor ation", - "Ġoffic ially", - "Ġincre asing", - "Ġcy cl", - "Ġproject s", - "ĠCol on", - "ĠMed ical", - "ĠMar g", - "L e", - "l iving", - "Ġdis play", - "Ġprim arily", - "Ġr ural", - "ad ing", - "ĠBar b", - "Ġadminist ration", - "en ge", - "9 4", - "van ced", - "ou d", - "Ġcondu cted", - "Ġinit i", - "Ġfriend s", - "Ġlevel s", - "ĠH ay", - "ang a", - "roll ed", - "Ġpos itive", - "en ing", - "Ġs port", - "Ġmount ain", - "ens is", - "e cted", - "ĠD ar", - "ĠNor wegian", - "Ġc ard", - "ĠSwed en", - "S S", - "ĠF air", - "Ġch ap", - "ĠI ra", - "in ity", - "Ġl y", - "i at", - "ĠM oh", - "ĠF ire", - "ĠL t", - "Ġinit ial", - "yd ro", - "ĠV ideo", - "ĠSh ort", - "ul ly", - "Ġacadem ic", - "ĠIndian a", - "ĠGold en", - "uc ky", - "Ġp an", - "ĠF le", - "Ġ9 0", - "e en", - "Ġp p", - "ĠMount ain", - "ĠW inn", - "Ġf irm", - "ĠM un", - "ak i", - "Ġch annel", - "Ġdis p", - "ĠBibl iography", - "Ġs ources", - "Ġrepl ace", - "bo ok", - "ĠWin ter", - "Ġwho le", - "ĠAr thur", - "Ġlist ing", - "Ġwork ers", - "Ġ193 8", - "ĠSc iences", - "Ġlet ter", - "cript ion", - "Ġnum bers", - "ĠR ad", - "ribut ed", - "ĠN iger", - "Ġconsid er", - "ĠAl f", - "ĠPl ace", - "Ġm ic", - "Ġval ue", - "ĠDes ign", - "ĠRe view", - "ĠB udd", - "Ġde ep", - "ĠS u", - "L A", - "Ġlaw s", - "ur ches", - "ĠH u", - "em y", - "ed om", - "ĠK ansas", - "ant a", - "ĠAl so", - "Ġliter ature", - "Ġwhe ther", - "Ġremov ed", - "th ing", - "ĠL ive", - "Ġ19 18", - "g al", - "he im", - "Ġs al", - "ĠMar ia", - "Ġwith d", - "A l", - "Ġded icated", - "el d", - "i est", - "ĠGe ography", - "ĠCap tain", - "ĠU s", - "port un", - "ert o", - "ĠDe p", - "Ġsy n", - "Ġg rew", - "ony m", - "Ġd omin", - "Ġw ords", - "ĠBar on", - "F F", - "Ġplann ed", - "ĠPopul ated", - "ĠPolit ical", - "r ical", - "Ġst ars", - "ĠJun ior", - "ĠRes ults", - "7 8", - "Ġnot able", - "Ġeffect s", - "ĠUS A", - "Ġsh are", - "je cted", - "ĠU t", - "Ġk ind", - "it ter", - "e z", - "ic ed", - "Ġr ule", - "ĠMiss ouri", - "p resent", - "Ġd ark", - "E C", - "Ġcomp uter", - "Ġp iano", - "Ġorder ed", - "ĠTay lor", - "Ġreg ist", - "Ġsettle ment", - "ath an", - "ĠM aster", - "resp ond", - "ĠH an", - "Ġprom inent", - "ik a", - "M A", - "Ġsp read", - "ĠR ugby", - "Ġcontin ue", - "ĠB ridge", - "is hes", - "ĠP it", - "ĠColor ado", - "reg on", - "y al", - "Ġrec over", - "ab les", - "rest ling", - "Ġref le", - "ĠFranc is", - "Ġun s", - "res h", - "se x", - "ell er", - "ĠE P", - "ag ing", - "Ġv ac", - "O S", - "Ġ3 4", - "Ġvot es", - "for ce", - "Ġsc ene", - "Ġfollow s", - "Ġwe ap", - "Ġdire ction", - "tern et", - "il ton", - "6 6", - "g reg", - "ĠSte ve", - "ĠR em", - "ist ed", - "Ġmix ed", - "Ġto uch", - "Ġb ranch", - "Ġhost ed", - "Ġext ra", - "ĠCon ne", - "Ġd igital", - "Ġg as", - "Ġre form", - "Ġl anguages", - "ĠW alk", - "Ġg reen", - "Ġart icles", - "Ġrul es", - "Ġpot ential", - "Ġ193 7", - "Ġim plement", - "Ġre ason", - "hen s", - "Ġint ended", - "Ġp urs", - "Ġill ust", - "ĠStud ies", - "Ġcons erv", - "en es", - "g n", - "hem at", - "Ġn ation", - "Ġan g", - "z ona", - "enn a", - "ĠRepresent atives", - "Ġhistor ic", - "Ġ era", - "3 9", - "ĠCast le", - "ĠC irc", - "y ard", - "ĠL ind", - "ĠE arl", - "Ġtri al", - "ul ated", - "Ġdiv ided", - "ĠG ree", - "Ġcapac ity", - "Ġide a", - "ĠM ember", - "Ġ ut", - "ĠN az", - "g rad", - "Ġcol or", - "Ġfor ward", - "ropol itan", - "Ġt al", - "Ġtit led", - "ograph ic", - "n ce", - "Ġrespect ively", - "Ġfl oor", - "Ġdestroy ed", - "Ġtit les", - "Ġtreat ment", - "Ġs oc", - "ĠO regon", - "ol es", - "ĠJ os", - "Ġass igned", - "ĠK al", - "ĠMar sh", - "Ġengine er", - "ĠK el", - "Ġ6 4", - "20 10", - "it led", - "ĠF e", - "Ġtown s", - "7 7", - "g g", - "ill ery", - "ur d", - "ĠTur key", - "ĠWar s", - "ĠMal ays", - "ĠP ier", - "Ġin side", - "Ġp arliament", - "or al", - "ap ore", - "ĠFred er", - "ĠH al", - "ĠR om", - "ly n", - "k h", - "ĠZ h", - "Ġag ric", - "ix ed", - "% )", - "Ġbas is", - "Ġd ance", - "Ġactiv ity", - "6 5", - "Ġsem i", - "Ġnov els", - "Ġre pe", - "and on", - "Ġcompos er", - "Ġbeh av", - "200 7", - "Ġun known", - "Ġreview s", - "Ġsit es", - "ĠE th", - "Ġ. ..", - "ĠBrazil ian", - "ĠComm and", - "Ġc ounter", - "re al", - "c ow", - "iv ity", - "Ġgrow th", - "b ec", - "Ġcle ar", - "Ġst reet", - "ĠDav is", - "Ġcont rovers", - "Ġmet al", - "ĠCon f", - "Ġfem ales", - "ĠP ass", - "b u", - "M S", - "Ġeffort s", - "Ġpurch ased", - "Ġp al", - "Ġpl ants", - "Ġbecom es", - "ennes see", - "b ell", - "Ġmov ing", - "Ġp et", - "Ġup per", - "ĠBro ok", - "ĠCon c", - "ĠAtl antic", - "ear s", - "Ġcont est", - "Ġprodu ce", - "iz es", - "ĠCount ry", - "Ġfe el", - "ĠSt and", - "ast y", - "ĠT al", - "ĠBe ach", - "ĠC re", - "ĠB all", - "Ġfac ilities", - "Ġl ies", - "ĠAri zona", - "a ud", - "ĠG reg", - "un ct", - "em an", - "Ġquest ion", - "ĠPhilipp ines", - "Ġcer em", - "ĠT a", - "ian t", - "it o", - "200 9", - "ĠN ic", - "ad ed", - "Ġtyp es", - "Ġequip ment", - "ĠFore ign", - "Ġcapt ured", - "I A", - "ĠF ree", - "Ġprodu ct", - "f ort", - "Ġsmall er", - "Ġatt end", - "est ic", - "Ġquick ly", - "Ġst ore", - "Ġy et", - "ĠK r", - "b ro", - "w ater", - "Ġhigh ly", - "200 0", - "e k", - "Ġle aves", - "ĠSe ver", - "Ġcont act", - "Ġcitiz ens", - "Ġ5 00", - "ĠS on", - "ar p", - "ound ed", - "Ġform at", - "b les", - "Ġdocument ary", - "Ġ4 4", - "Ġest ate", - "ast ic", - "st yle", - "ĠT ennessee", - "Ġimmedi ately", - "Ġ( ;", - "ĠLe on", - "ren ce", - "Ġorgan ized", - "if orm", - "Ġaccept ed", - "Ġs umm", - "ĠMar c", - "Ġg re", - "b ed", - "ed ia", - "k in", - "ipl om", - "w atch", - "Ġop portun", - "ĠNor way", - "j an", - "Ġcon ver", - "ĠM as", - "a ug", - "20 11", - "ef e", - "ĠS ri", - "Ġm ax", - "Ġown er", - "ul ed", - "Ġcon ference", - "Ġfl ight", - "Ġr at", - "ĠC as", - "ian g", - "s ky", - "ur er", - "Ġ193 5", - "ĠN etwork", - "Ġ19 19", - "Ġphys ical", - "Ġfav or", - "Ġfac ulty", - "Ġro les", - "200 6", - "g ers", - "o is", - "200 8", - "Ġst ra", - "Ġsy mb", - "Ġaut om", - "Ġb ronze", - "er c", - "Ġdecl ared", - "ĠMary land", - "amb ig", - "Ġconf irmed", - "Ġsoft ware", - "se y", - "am i", - "ĠC ra", - "ĠS av", - "Ġmot or", - "Ġte acher", - "Ġchar ge", - "Ġre ach", - "ol n", - "Ġcommon ly", - "ĠUk raine", - "Ġpos itions", - "ann a", - "Ġaff ili", - "Ġg overnor", - "Ġ19 14", - "Ġhous ing", - "Ġoper ating", - "ĠHigh way", - "Ġv s", - "ĠO d", - "Ġ3 3", - "eat her", - "ĠB at", - "ĠBe fore", - "Ġprogram ming", - "Ġper man", - "Ġbe at", - "im al", - "Ġh tt", - "Ġstre ng", - "ĠIra q", - "U n", - "ĠS ources", - "Ġele v", - "am in", - "ce st", - "Ġcomp ared", - "r ate", - "ĠFor mer", - "Ġcom es", - "h at", - "ĠBack ground", - "ĠSing apore", - "Ġterrit ory", - "ĠFed eration", - "are t", - "Ġab ility", - "ĠMod ern", - "Ġagre ement", - "Ġd istricts", - "b s", - "Ġcom ment", - "Ġtarg et", - "ĠK l", - "CA A", - "Ġst one", - "Ġ19 10", - "ĠM emorial", - "Ġfound er", - "ĠR oss", - "ĠL iter", - "Ġw a", - "Ġp op", - "ĠDe c", - "Ġsw im", - "ellig ence", - "Ġ19 17", - "Ġg iving", - "ag a", - "ĠD or", - "Ġagre ed", - "ĠF ox", - "Ġatt ention", - "ĠCh ile", - "Ġmod els", - "ar c", - "Ġappro ach", - "Ġengine ering", - "5 8", - "Ġn ucle", - "9 3", - "inc ial", - "vent h", - "ĠH or", - "Ġcamp us", - "ĠO cean", - "ĠS ound", - "S P", - "Ġpe ace", - "ĠE ach", - "m ad", - "west ern", - "igh th", - "du ce", - "Ġlead ership", - "Ġinstitut ions", - "Ġw alk", - "Ġatt ra", - "Ġc ars", - "od ies", - "S C", - "ap h", - "Ġl if", - "Ġap art", - "ript ion", - "Ġ192 8", - "Ġy ards", - "Ġest imated", - "Ġel im", - "z o", - "ĠB ru", - "igr ants", - "ol i", - "Ġse ats", - "Ġth ink", - "Ġoccur red", - "Ġbl ood", - "ĠR en", - "un te", - "Ġw ing", - "ĠW at", - "ambig uation", - "op her", - "ĠD iv", - "ĠEnter tain", - "ĠH art", - "ĠS port", - "Ġg ained", - "ad er", - "200 5", - "Ġneed ed", - "ot i", - "Ġch airman", - "Ġmed ian", - "ĠPhil ip", - "Ġ x", - "Ġact ing", - "ĠF a", - "ĠLew is", - "Ġsuffer ed", - "Ġcon clud", - "Ġdise ase", - "Ġfig ure", - "Ġadop ted", - "Ġrec on", - "Ġb ad", - "ĠB os", - "ĠMel bourne", - "Ġfl ag", - "Ġ192 9", - "Ġs ens", - "Ġcr ime", - "in us", - "Ġc oin", - "ed er", - "we alth", - "Ġdist ribution", - "Ġserv es", - "ĠT s", - "5 00", - "ĠMos cow", - "ĠT en", - "Ġst ream", - "Ġp oll", - "Ġent er", - "it ness", - "Ġf ell", - "ul s", - "Ġan alysis", - "H L", - "ĠPro duction", - "rain ian", - "Ġcomb ined", - "im inal", - "l ah", - "Ġcomm ittee", - "Ġjournal ist", - "' ,", - "s pe", - "Ġ3 8", - "ĠT est", - "ans ion", - "Ġcont ent", - "Ġcor respond", - "Ġj oint", - "T A", - "ĠAb b", - "ag h", - "or ter", - "ĠSe ason", - "Ġqu ality", - "Ġcan cer", - "Ġv ess", - "Ġpre c", - "20 12", - "200 4", - "ing ham", - "Ġ193 3", - "Ġpolit ics", - "ĠSt ock", - "y es", - "Ġres ident", - "Ġ193 4", - "ĠCro at", - "or ph", - "anc ing", - "Ġra re", - "ĠSpr ing", - "S h", - "ost er", - "ĠAb d", - "Ġcont emporary", - "ĠEngine ering", - "Ġproble m", - "ugu ese", - "ol id", - "ast ers", - "Ġ urban", - "Ġperforman ces", - "Ġtyp ically", - "A n", - "Ġh abit", - "y ond", - "al o", - "ĠR ound", - "p et", - "Ġret ire", - "pl ace", - "Ġmention ed", - "eth ing", - "Ġofficial s", - "l aw", - "Ġnomin ated", - "ĠHe art", - "Ġb ig", - "Ġindust rial", - "9 1", - "Ġcom ing", - "Ġun c", - "ib ly", - "ĠH ard", - "ash ion", - "ĠB on", - "Ġh undred", - "Ġf iction", - "id i", - "w orks", - "Ġpres ence", - "Ġl abor", - "ov i", - "ĠTurk ish", - "Ġbl ue", - "ĠQueens land", - "ĠKh an", - "ĠV o", - "p ass", - "Ġeduc ated", - "ant e", - "9 2", - "it i", - "w ing", - "Ġex c", - "g ar", - "Ġh or", - "20 13", - "ir al", - "ĠJew s", - "ĠH ou", - "ol ved", - "v ard", - "Ġf ast", - "l i", - "id ers", - "is a", - "ĠAdd ition", - "V ID", - "Ġpr in", - "il ing", - "ic ian", - "ĠB alt", - "Ġcol umn", - "hed ral", - "Ġco al", - "g i", - "Ġlarg ely", - "Ġresult ed", - "dis ambiguation", - "Ġrecogn ized", - "osoph y", - "ot ed", - "Ġprob ably", - "ĠI owa", - "ĠAust ria", - "m outh", - "Ġe c", - "Ġ ir", - "ak s", - "ĠG il", - "ĠAr k", - "ĠCommon wealth", - "for mer", - "Ġab andon", - "Ġ192 4", - "Ġb oy", - "Ġdam age", - "d a", - "Ġres erv", - "ĠR ang", - "p son", - "Ġm iles", - "Ġcon cent", - "ĠKent ucky", - "Ġh op", - "ĠBro ther", - "os en", - "ĠO t", - "Ġbur ied", - "ĠE c", - "Ġc ab", - "u ate", - "Ġpaint ing", - "Ġschol ar", - "ĠD own", - "ĠB ah", - "v o", - "ĠC ab", - "Ġc am", - "ĠSports people", - "Ġwid ely", - "act er", - "Ġsc oring", - "G B", - "Ġexp anded", - "5 6", - "Ġc ode", - "Ġ19 00", - "Ġvill ages", - "z h", - "Ġar ts", - "Ġex pected", - "Ġrank ed", - "ol is", - "Ġ193 2", - "Ġ3 7", - "Ġsex ual", - "ĠEntertain ment", - "Ġclass ical", - "Ġsports people", - "Ġb ra", - "ĠSquad ron", - "ĠK itt", - "Ġnew ly", - "Ġrec omm", - "Ġident ified", - "ĠHar ry", - "Ġm m", - "Ġcrit ical", - "Ġf elt", - "Ġgr anted", - "Ġm ill", - "Ġdef end", - "ĠAre a", - "oc ese", - "iqu es", - "ar o", - "ĠC ape", - "Ġp ict", - "u i", - "form ed", - "ain e", - "cl es", - "Ġse arch", - "ĠWal ter", - "Ġsecond ary", - "ĠBel g", - "Ġ rom", - "Ġf ish", - "Ġad apt", - "Ġsqu are", - "ĠH ur", - "ĠManag ement", - "ĠT ony", - "ĠD anish", - "ĠG i", - "Ġcou ple", - "Ġdr ums", - "Ġstar ring", - "Ġal le", - "m itted", - "ro g", - "us ion", - "ĠL ike", - "Ġlos ing", - "Ġb illion", - "Ġwe ight", - "Ġconc ert", - "20 14", - "k es", - "se ason", - "ĠSw iss", - "l ast", - "Ġs ales", - "Ġt aught", - "t ing", - "il ation", - "Ġcre ation", - "Ġcond ition", - "Ġre duced", - "Ġm ess", - "ett ing", - "ĠViet nam", - "ĠN ick", - "Ġco aches", - "Ġdist ance", - "Ġthe atre", - "vi ation", - "Ġcomm ander", - "Ġpress ure", - "8 7", - "Ġresult ing", - "Ġw ild", - "Ġ192 7", - "Ġb al", - "Ġpre mier", - "or ship", - "Ġthere fore", - "Ġoff ers", - "ĠCO VID", - "0 5", - "ĠR on", - "itz erland", - "i ot", - "ĠInf antry", - "ĠProfess ional", - "ĠPort uguese", - "S T", - "Ġcap tain", - "200 3", - "ĠG ord", - "ĠRec ord", - "cl aim", - "ĠReg ional", - "Ġinstr ument", - "ĠS ix", - "Ġlo an", - "oc ated", - "ĠTh rough", - "ĠT an", - "Ġ19 12", - "p ur", - "Ġsp ons", - "4 1", - "ĠAm ong", - "Ġsec ret", - "20 15", - "ĠSim on", - "ĠUk rainian", - "ĠA st", - "ĠB eng", - "ĠSe le", - "Ġt im", - "ĠT reat", - "m es", - "Ġtw ice", - "Ġauthor ities", - "ĠAl b", - "ĠH and", - "Ġrec ently", - "al ing", - "Ġarrest ed", - "ĠF inn", - "Ġsurn ame", - "V D", - "Ġ193 1", - "4 2", - "ad s", - "Ġstr ugg", - "ict ional", - "orn ey", - "h o", - "ĠN ik", - "Ġyoung er", - "Ġform ation", - "p a", - "I C", - "ĠN CAA", - "Ġpre p", - "Ġinj ury", - "ord in", - "Ġbeg ins", - "ĠL abor", - "um es", - "ĠAr men", - "i pe", - "Ġformer ly", - "Ġ192 2", - "ĠBul g", - "Ġra cing", - "ym n", - "0 7", - "Ġatt acks", - "Ġg raph", - "ĠH ans", - "ĠD rag", - "Ġvers ions", - "Ġw all", - "ĠGree ce", - "m iss", - "ĠI l", - "lah oma", - "ĠSt aff", - "0 6", - "Ġfin ish", - "ĠIsrael i", - "ĠAff airs", - "ĠPl an", - "Ġth ous", - "Ġsurround ing", - "Ġprov iding", - "ĠG er", - "ĠAn ne", - "ĠArch ite", - "Ġcrit ics", - "ĠPh ys", - "ay er", - "ĠSpace watch", - "Ġrest aur", - "Ġdis establ", - "b ra", - "os is", - "Ġc e", - "Ġser ious", - "0 8", - "m ont", - "re ll", - "ĠA ud", - "ĠRe al", - "Ġ192 1", - "ĠTok yo", - "ĠAl i", - "Ġvoc al", - "200 1", - "Ġt ree", - "Ġpat tern", - "as ion", - "Ġknow ledge", - "ĠBill board", - "p ool", - "ĠMill er", - "Ġ192 5", - "b i", - "ĠBe c", - "Ġshow ed", - "ĠK at", - "T C", - "ĠTr ust", - "Ġob tained", - "Ġstat istics", - "Ġc arri", - "ĠJac ob", - "Ġspl it", - "ĠN ap", - "Ġreg ions", - "Ġinte g", - "Ġ192 6", - "ann ing", - "ĠBet ween", - "og ue", - "ĠG ab", - "Ġp aid", - "ĠOr iginal", - "Ġrece ive", - "ain ts", - "ĠSw itzerland", - "ĠD omin", - "Ġl ibrary", - "inc oln", - "Ġtra ins", - "iv als", - "ĠMan chester", - "ograp her", - "g ro", - "ĠHol y", - "ĠP ict", - "ĠTh ird", - "ĠAl ab", - "Ġb ow", - "Ġf estival", - "ĠJan e", - "ru it", - "ĠEm peror", - "ĠAnd erson", - "Ġpro pos", - "p ri", - "or i", - "ĠSen ior", - "Ġnot es", - "ĠChrist mas", - "Ġc ells", - "ug al", - "Ġdesign ated", - "ĠOk lahoma", - "ĠBuild ings", - "Ġsp ring", - "og s", - "ĠServ ices", - "l ines", - "Ġn et", - "Ġsup pl", - "in y", - "Ġp ack", - "ĠR a", - "ill er", - "Ġl iber", - "ĠF ac", - "ĠCh ampions", - "20 16", - "Ġmay or", - "Ġim age", - "Ġke pt", - "Ġsugg ested", - "el ine", - "m un", - "Ġmark ed", - "ĠB rian", - "Ġclaim s", - "ific ations", - "Ġtw enty", - "Ġlaun ch", - "Ġtr ue", - "ĠT urn", - "ous es", - "Ġmanag ers", - "Ġreg ul", - "ĠPro te", - "ic ians", - "ĠK am", - "Ġh y", - "ĠB arn", - "Ġd ial", - "f ef", - "ĠA le", - "Ġconfl ict", - "Ġveh icles", - "Ġpain ter", - "ĠChild ren", - "ĠL ar", - "Ġent ry", - "Ġinsp ired", - "ĠLem mon", - "Ġfig ures", - "200 2", - "Ġ192 3", - "Ġh all", - "ĠP oint", - "Ġsp irit", - "Ġre ports", - "Ġ19 16", - "Ġexper iment", - "ate ur", - "4 9", - "Ġsup ply", - "ĠD ue", - "Ġm ales", - "Ġsix th", - "Ġhead quarters", - "ĠN aval", - "Ġb ott", - "ĠFr ont", - "and y", - "ĠRe ception", - "Ġro yal", - "Ġcontin ues", - "Ġconne cted", - "1 00", - "ĠMc G", - "ro om", - "Ġw ins", - "ĠF ord", - "Ġsh op", - "Ġtra ffic", - "Ġd ensity", - "Ġg ives", - "ĠF il", - "ubl in", - "8 9", - "oot h", - "ĠK y", - "4 3", - "Ġport ray", - "N ew", - "ĠR un", - "ĠPr in", - "Ġ19 15", - "fef efe", - "qu es", - "Ġsl ight", - "ch a", - "ri p", - "Ġjud ge", - "Ġmaterial s", - "Ġact ually", - "Ġn ortheast", - "Ġthem e", - "ly wood", - "al so", - "ok ing", - "E R", - "Ġpart ner", - "Ġa im", - "Ġ7 5", - "; \"|", - "20 17", - "oth s", - "Ġop position", - "Ġcomp on", - "ĠP op", - "rat or", - "ĠAlab ama", - "ĠLab our", - "ĠHow ard", - "Ġpromot ion", - "Ġsucceed ed", - "Ġpur pose", - "Ġcl imate", - "ĠBas ketball", - "ĠAlbum s", - "ĠL ow", - "ol ished", - "u ous", - "ĠR ose", - "r in", - "ene z", - "ĠF ame", - "ĠL incoln", - "Ġte aching", - "ĠI V", - "ro it", - "Ġgre ater", - "ĠHam ilton", - "ĠE ric", - "ĠSing les", - "v ens", - "ĠN ative", - "Ġtri ed", - "ĠL ieutenant", - "Ġcompet itions", - "Ġet c", - "6 7", - "Ġfac ility", - "A A", - "ĠPl ot", - "ĠB attalion", - "ĠT el", - "l an", - "Ġallow ing", - "ional ly", - "l ife", - "ĠMiss iss", - "Ġb att", - "b ot", - "ĠB urn", - "ĠSur vey", - "Ġt alk", - "Ġpres erv", - "Ġs ays", - "ĠAust rian", - "ĠDou gl", - "off s", - "ĠK az", - "ĠY outh", - "0 1", - "Ġmusic ian", - "ĠN ich", - "ecut ive", - "ĠS n", - "ĠMar ine", - "Ġacc ident", - "ag u", - "ik h", - "hes s", - "Ġ4 2", - "Ġc ert", - "ĠFor ces", - "Ġsc ript", - "Ġvis it", - "wh ich", - "ipp i", - "ed ing", - "Ġhistor ian", - "e ast", - "Ġto wer", - "Ġsing ers", - "Ġpublic ation", - "Ġscient ific", - "ur ance", - "Ġt ells", - "Ġ @", - "ĠCh annel", - "ĠMount ains", - "Ġcan not", - "u v", - "ĠDes cription", - "ord an", - "Ġreturn ing", - "Ġgrow ing", - "Ġexist ing", - "ĠExp atriate", - "Ġf ully", - "ĠLoc al", - "ctic ut", - "ĠHar vard", - "achel or", - "ĠBuild ing", - "ĠArgent ina", - "Ġp le", - "Ġappl ied", - "Ġsl ow", - "Ġp air", - "ure au", - "Ġle tt", - "Ġsit uation", - "Ġal one", - "ĠCur rent", - "ad i", - "Ġm om", - "ut her", - "20 18", - "ĠHon or", - "Ġall ows", - "rel ated", - "st ic", - "Ġmag n", - "id ge", - "Ġa ired", - "ĠTem ple", - "olog ists", - "Ġmet res", - "Ġd raft", - "Ġop pos", - "Ġsp ot", - "ĠC ost", - "ĠN ow", - "d am", - "ĠPri x", - "st an", - "Ġfight ing", - "ĠW olf", - "in th", - "ĠD om", - "ĠM it", - "f inals", - "ist ry", - "Ġm ut", - "ĠR oll", - "ĠG ram", - "5 7", - "Ġy ellow", - "Ġc art", - "is er", - "ĠPro t", - "ĠMor ris", - "Ġd iplom", - "' .", - "w ich", - "Ġmeas ure", - "ard o", - "Ġsit uated", - "D on", - "Ġs uit", - "Ġun ique", - "Ġm ap", - "ial s", - "Ġ19 13", - "ĠA uthor", - "Ġsaf ety", - "ĠConne cticut", - "ĠSt one", - "Ġs ons", - "Ġbrother s", - "ĠAnth ony", - "20 19", - "Ġpr int", - "ast e", - "Ġad vanced", - "ĠL as", - "ĠJ am", - "Ġw ant", - "Ġe arth", - "Ġmain tain", - "Ġhe av", - "ol as", - "ĠHistor ical", - "ĠN ag", - "or gan", - "Ġgu est", - "clud ing", - "Ġfe et", - "ingu ished", - "ĠL ank", - "ĠSec urity", - "ĠCol omb", - "ĠB rand", - "igen ous", - "ĠJ ay", - "Ġold est", - "Ġag ent", - "ĠPat rick", - "eral d", - "ch i", - "ĠTai wan", - "Ġhand s", - "Ġclass es", - "on om", - "ĠSt ory", - "ĠQue bec", - "at al", - "out s", - "ĠSil ver", - "ell o", - "est er", - "ĠK arl", - "Ġs ides", - "h ol", - "Ġb ill", - "Ġly rics", - "ĠN FL", - "s ort", - "Ġchart s", - "c ont", - "ĠD ur", - "Ġfl ood", - "ĠSund ay", - "ĠW ell", - "ant on", - "ĠC ulture", - "Ġgo es", - "Ġnar row", - "Ġth ings", - "Ġv ice", - "ĠEr n", - "Ġl ot", - "ĠN a", - "ĠMag azine", - "ĠJu an", - "Ġh orse", - "ĠR ural", - "Ġch osen", - "j oy", - "Ġp un", - "ĠT ar", - "ĠL in", - "inem a", - "Ġg all", - "ĠV is", - "Ġar ms", - "Ġme ant", - "at us", - "6 8", - "ĠP ot", - "Ġset s", - "Ġloc omot", - "Ġtem ple", - "os lav", - "Ġex change", - "im ens", - "ĠC ensus", - "ĠN on", - "ress ion", - "ĠBec ause", - "ĠHou ston", - "Ġr isk", - "ĠW y", - "d ied", - "Ġcor por", - "ĠH un", - "Ġe as", - "ĠH amp", - "ĠLouis iana", - "Ġs ail", - "Ġth ir", - "ĠBrig ade", - "Ġport ion", - "Ġcommission ed", - "Ġpro ceed", - "z z", - "y ers", - "Ġal t", - "ĠDie go", - "ĠN Y", - "Ġsugg est", - "ĠLiber al", - "z en", - "Ġchall eng", - "h r", - "val ue", - "Ġb ought", - "Ġprincip al", - "Ġauthor ity", - "Ġ19 11", - "ra it", - "ig ration", - "Ġn ob", - "Ġro ll", - "l ades", - "Ġf olk", - "ĠF ellow", - "ĠT un", - "Ġcomplet ely", - "Ġneighbor hood", - "Ġachie ved", - "Ġs outheast", - "Ġanim als", - "ĠAll en", - "Ġre ference", - "Ġhold s", - "Ġcust om", - "ĠBelg ium", - "ĠLt d", - "el ve", - "ĠD ream", - "ĠSever al", - "ĠCh all", - "ĠH ockey", - "ĠAb out", - "Ġgl obal", - "pect s", - "ĠC emetery", - "ĠR ace", - "199 9", - "Ġref used", - "d es", - "Ġprote ction", - "bo x", - "ĠV in", - "S e", - "ĠK u", - "ĠPu erto", - "am ing", - "ĠTod ay", - "Ġexhib ition", - "ĠB ry", - "ag er", - "und er", - "o es", - "uc cess", - "Ġappro ved", - "ĠAmerican s", - "Ġattempt ed", - "5 1", - "Ġrap id", - "j o", - "Ġint ers", - "Ġ4 8", - "ĠS in", - "au x", - "ĠV ice", - "Ġcont ain", - "Ġveh icle", - "Ġsett led", - "Ġt ennis", - "Ġsoc cer", - "Ġsy m", - "Ġf ans", - "Ġa ctions", - "ĠP ap", - "Ġcre ating", - "ĠG ib", - "ĠGord on", - "ĠHung arian", - "Ġad vert", - "Ġ4 1", - "ĠDet roit", - "Ġl ake", - "Ġvis ited", - "ĠDougl as", - "6 4", - "Ġdef ined", - "ĠLegisl ative", - "if ically", - "Ġend ing", - "ĠPort ugal", - "ind er", - "Ġnecess ary", - "ĠAnton io", - "Ġcomb at", - "ress ed", - "Ġf air", - "iam i", - "pr ise", - "Ġattack ed", - "I T", - "ĠTer rit", - "c ar", - "rid ges", - "ĠDen mark", - "iv a", - "ag en", - "ĠHer itage", - "ĠP ed", - "ivers ary", - "Ġpil ot", - "S R", - "are n", - "Ġsim ply", - "ac hers", - "Ġrece iving", - "ĠPlay er", - "ĠMississ ippi", - "Ġaud ience", - "b ar", - "Ġ190 8", - "Ġconsist ed", - "Ġcont aining", - "ĠS el", - "t i", - "Ġag ed", - "Ġoper a", - "Ġadv ance", - "ur i", - "Ġres ources", - "Ġst orm", - "Ġfound ing", - "Ġun able", - "um a", - "ĠN ar", - "Ġdirect ors", - "ou red", - "ĠBang lades", - "ĠA D", - "ĠT rib", - "ĠIslam ic", - "Ġmethod s", - "ĠM and", - "Ġrepresent ative", - "ĠO ak", - "secut ive", - "ĠEn vironment", - "Ġexp ansion", - "Ġrepresent ing", - "Ġfl ow", - "ĠA C", - "Ġvol ume", - "Ġcons um", - "g or", - "Ġsubsequ ent", - "Ġd aily", - "Ġinh abit", - "Ġactress es", - "ĠOffic er", - "Ġloc ations", - "Ġproper ties", - "ĠFreder ick", - "ĠSam uel", - "Ġg od", - "Ġf ought", - "0 9", - "Ġattempt s", - "ag an", - "we et", - "ĠN atural", - "ĠB erg", - "Ġro of", - "Ġbro ke", - "Ġra in", - "ĠInd ependent", - "ĠAl an", - "Ġmach ine", - "gh an", - "Ġte le", - "Ġsim ple", - "ist a", - "ĠD al", - "en h", - "ĠF ern", - "Ġtre es", - "ĠS ky", - "ag ues", - "ĠEx press", - "Ġsched uled", - "ris is", - "le ts", - "Ġv ent", - "ĠR ivers", - "Ġfrequ ently", - "Ġresp ond", - "ĠIn formation", - "ĠR ab", - "ĠMus ical", - "Ġsh ared", - "p o", - "Ġb urn", - "ab ad", - "ĠB an", - "Ġretire ment", - "im ents", - "ĠPit ts", - "Ġcandid ates", - "ĠM aur", - "ile y", - "Ġw ear", - "Ġex clus", - "ĠWh it", - "Ġj azz", - "Ġop pon", - "Ġst ock", - "Ġ ;", - "in er", - "ĠR oc", - "P A", - "ĠY our", - "P S", - "5 2", - "ĠCl ark", - "ĠAnd re", - "Ġmem ory", - "5 3", - "os ed", - "Ġpie ce", - "Ġs pect", - "d on", - "Ġconver ted", - "Ġrel atively", - "an ia", - "Ġdr iver", - "Ġsom ething", - "ĠWel sh", - "a ctions", - "Ġstra ight", - "Ġch ampions", - "Ġliter ary", - "Ġpresident ial", - "Ġqual ified", - "Ġeffect ive", - "ĠPh ill", - "ĠJ ordan", - "Ġcop ies", - "Ġdef in", - "Ġg uns", - "5 4", - "ig ation", - "Ġunder st", - "us es", - "Ġm is", - "Ġwin ter", - "stitut ional", - "ĠB ird", - "Ġl it", - "ĠP un", - "ĠU N", - "l ong", - "ĠL I", - "ĠD h", - "ĠK a", - "ĠEx ecutive", - "Ġch urches", - "Ġ3 00", - "ie val", - "Ġm orning", - "Ġdr ive", - "Ġult imately", - "enn y", - "ĠAl ban", - "Ġinc ident", - "ip ients", - "n i", - "op ter", - "ĠB ou", - "ĠDo ctor", - "o en", - "Ġin aug", - "Ġgirl s", - "r um", - "ĠIndones ia", - "Ġfoc used", - "ĠIn ternet", - "Ġapp oint", - "Ġdrop ped", - "ĠA ge", - "Ġpol ic", - "Ġtr ust", - "Ġdom estic", - "Ġres c", - "Ġoccup ied", - "ĠHot el", - "Ġdef ense", - "Ġc overs", - "Ġend s", - "8 4", - "ĠG ard", - "Ġf aced", - "ĠM iami", - "ud i", - "ĠVill age", - "Ġperform ing", - "in burgh", - "ent ed", - "g ment", - "Ġshort ly", - "ĠComp et", - "Ġneg oti", - "ĠL am", - "ĠE ag", - "Ġcateg ory", - "Ġr ang", - "ĠC ricket", - "Ġent itled", - "Ġprof ile", - "ĠBo x", - "od ox", - "ĠSchool s", - "f all", - "Ġalle ged", - "ph as", - "ĠSqu are", - "ĠAdminist ration", - "o a", - "az a", - "l ad", - "Ġrecogn ition", - "ĠC ultural", - "ord ers", - "Ġ4 6", - "Ġcon secutive", - "w ise", - "Ġop posed", - "A M", - "0 4", - "U S", - "Ġre ar", - "ĠD ave", - "Ġa st", - "ĠU C", - "Ġch o", - "Ġse em", - "an es", - "ig e", - "Ġh arm", - "Ġprot est", - "ĠPri or", - "ĠPal est", - "stru cture", - "al ty", - "ĠF und", - "Ġ iron", - "ĠK ey", - "Ġsett ing", - "Ġcons ult", - "Ġtouch down", - "Ġ4 3", - "ĠC all", - "Ġdec or", - "ĠVill ages", - "Ġlearn ing", - "ĠIm perial", - "ĠK er", - "ĠD ak", - "ffic ient", - "og en", - "Ġin ternal", - "ik i", - "Ġident ity", - "ĠD ublin", - "199 8", - "ĠAcadem ic", - "ud get", - "ĠB ureau", - "Ġhe ight", - "Ġs um", - "Ġkill ing", - "Ġinvestig ation", - "or ough", - "ĠP ope", - "ĠF arm", - "p ret", - "Ġmic ro", - "Ġact s", - "Ġperman ent", - "ful ly", - "Ġmax imum", - "Ġ189 0", - "ĠOr th", - "Ġair port", - "aw n", - "ĠL anc", - "o ok", - "7 2", - "Ġpre par", - "ĠBudd h", - "en z", - "Ġgu ard", - "ĠD a", - "l ov", - "Ġb ul", - "d ale", - "Ġcon vers", - "Ġcontribut ed", - "Ġemploy ed", - "st ream", - "B l", - "ĠAthlet ics", - "Ġfield s", - "Ġ4 00", - "Ġhot el", - "ĠM ach", - "ĠPro f", - "Ġappl ication", - "ĠUp on", - "ĠOn ly", - "or ia", - "ĠMo ore", - "sc ape", - "ĠPr iv", - "Ġlett ers", - "m it", - "Ġlaw yer", - "Ġcorn er", - "20 20", - "ĠStud ios", - "ĠL ast", - "ac ent", - "\" ),", - "5 9", - "ĠI S", - "Ġhe ro", - "Ġenvironment al", - "ow nt", - "ay an", - "ĠIn n", - "Ġk il", - "ĠTam il", - "Ġ4 9", - "7 4", - "Ġnorm al", - "Ġland s", - "Ġher self", - "ĠMr s", - "Ġpaint ings", - "Ġoffic es", - "ĠArk ansas", - "ĠD ark", - "Ġinst all", - "ot te", - "g ency", - "ĠF M", - "ail and", - "ĠS ud", - "ĠT ig", - "Ġdeterm ined", - "Ġon to", - "Ġeconom y", - "Ġs ust", - "a ver", - "G en", - "Ġre in", - "ĠD all", - "Ġviol ence", - "Ġs ense", - "ĠRober ts", - "ĠSh ar", - "Ġspe ech", - "ĠC ru", - "ĠMalays ia", - "ĠM em", - "Ġcolle cted", - "Ġtechn ical", - "Ġocc urs", - "Ġestablish ment", - "Ġmult i", - "Ġvir t", - "Ġro t", - "ĠCl in", - "Ġbe gin", - "Ġsy nt", - "ĠD C", - "8 1", - "ĠV enez", - "ĠF riend", - "Ġext ensive", - "ĠC er", - "ĠAn na", - "Ġaltern ative", - "ĠL ang", - "ĠDep uty", - "red ited", - "ĠMatt hew", - "ĠEd inburgh", - "ĠGl obal", - "Ġcomp ris", - "ic ts", - "Ġcomp ar", - "ĠHaw ai", - "ap pe", - "ĠC our", - "ĠE ner", - "ĠL ith", - "199 7", - "le ep", - "ĠB art", - "Ġmer ch", - "ĠL yn", - "ĠCommun ist", - "ĠF em", - "7 9", - "6 1", - "Ġim pr", - "ĠBel gian", - "ĠBow l", - "ĠN el", - "ra c", - "Ġenc oura", - "Ġs ay", - "Ġmerg ed", - "ww w", - "at ab", - "ol o", - "Ġs an", - "p oint", - "ĠD VD", - "Ġdo ctor", - "f e", - "se ud", - "ĠSt ew", - "7 1", - "le ase", - "vel and", - "ĠG arden", - "ĠPlay ers", - "Ġj ur", - "Ġhigh way", - "Ġpower ful", - "Ġsupport ing", - "ĠSing h", - "Ġpoet ry", - "Ġstri ke", - "ĠOr chestra", - "ol y", - "ĠKe vin", - "Ġdyn asty", - "Ġarran g", - "olle y", - "ill ing", - "GB T", - "Ġse ctor", - "iss ance", - "Ġc as", - "ĠFin land", - "Ġen joy", - "d i", - "Ġav oid", - "Ġcent uries", - "Ġst adium", - "ĠG ian", - "ĠC ow", - "Ġgen eration", - "ĠComm ander", - "ĠMay or", - "Ġo x", - "Ġexpress ed", - "Ġf ranch", - "ĠR ow", - "im ore", - "ĠM oon", - "Ġ190 9", - "ĠAlf red", - "Ġgl ass", - "ĠP ra", - "ograph ical", - "Ġf ashion", - "Ġres igned", - "Ġc reat", - "ad ow", - "ĠSc ient", - "ĠT it", - "d ie", - "Ġre ign", - "ĠD ick", - "S p", - "Ġhold ing", - "Ġpartn ership", - "20 21", - "Ġ190 5", - "8 3", - "Ġcontra st", - "Ġpat ients", - "ĠDon ald", - "Ġapp arent", - "Ġmat ter", - "Ġ190 6", - "Ġp and", - "0 3", - "ĠP a", - "ĠJoh ann", - "Ġplann ing", - "Ġa uth", - "Ġbe yond", - "D e", - "Ġr ing", - "ĠH ills", - "Ġdec re", - "Ġm and", - "ren a", - "ac he", - "inc orporated", - "eng ers", - "Ġ3 9", - "oy d", - "Ġsp ok", - "Ġm arg", - "ĠSh ah", - "Ġfin ishing", - "Ġph ase", - "Ġpie ces", - "our ney", - "Ġre asons", - "Ġabandon ed", - "n ote", - "Ġcerem ony", - "Ġen emy", - "ĠPro du", - "Ġf uel", - "Ġs ought", - "r ine", - "ĠG on", - "Ġweap ons", - "ĠHon ours", - "E A", - "ĠQ ual", - "Ġind ependence", - "ry st", - "Ġneed s", - "Ġval ley", - "' '", - "ĠFootball ers", - "ĠAlex and", - "8 2", - "Ġfun ctions", - "az ines", - "Ġvis ual", - "e qu", - "ism s", - "Ġinj ured", - "Ġk ick", - "st ead", - "Ġcast le", - "ĠW he", - "Ġsuccessful ly", - "ĠH unt", - "ĠLaw rence", - "Ġfail ure", - "Ġ190 7", - "Ġjun ior", - "Ġfl u", - "s et", - "ĠAtl anta", - "Ġeduc ational", - "ĠF u", - "Ġw alls", - "ram a", - "ĠR yan", - "f ound", - "Ġbro wn", - "Ġpra ised", - "Ġsec retary", - "ĠTh ailand", - "ic ide", - "ur ation", - "ĠG ri", - "ĠMont real", - "ra f", - "olog ies", - "ĠH ug", - "ist ant", - "ĠMic ro", - "Ġst ating", - "Ġfind s", - "ĠM ale", - "ob e", - "Ġr ival", - "Ġwrit e", - "ist ers", - "ia b", - "ĠWalk er", - "Ġcr iminal", - "Ġs ac", - "ĠT ourn", - "0 2", - "ĠLa ure", - "Ġm ind", - "f r", - "ĠE ven", - "Ġconstitu ency", - "ĠR ub", - "ĠThe n", - "Ġde ploy", - "ĠAl umni", - "ĠUt ah", - "Ġim pl", - "ĠN ob", - "bor ough", - "Ġslight ly", - "rom e", - "ĠL og", - "Ġinhabit ants", - "wh ile", - "cy cl", - "Ġeth nic", - "Ġconne ction", - "ĠMunicip al", - "ĠWh at", - "re ct", - "ap ted", - "Ġinv ited", - "Ġro ugh", - "Ġt ry", - "199 6", - "ĠAg ric", - "199 0", - "ĠL iga", - "Ġregard ing", - "Ġback ing", - "og y", - "alle l", - "Ġw ays", - "ĠE nt", - "Ġinv asion", - "Ġwe alth", - "Ġfund ing", - "Ġprov ision", - "ĠF al", - "Ġs and", - "ĠL GBT", - "f rom", - "Ġref ers", - "I N", - "Ġh ydro", - "ĠK ings", - "Ġprogram me", - "Ġf resh", - "f riend", - "ĠAf ghan", - "act ive", - "ĠRel ig", - "if ul", - "ĠCle veland", - "ĠN av", - "Ġste el", - "on i", - "ĠI ce", - "ĠArgent ine", - "Ġdevelop ing", - "Ġpol y", - "6 3", - "Ġvot ed", - "199 5", - "Ġh yp", - "ul es", - "Ġder ived", - "D P", - "Ġpri est", - "Ġord ers", - "ĠMc K", - "ant asy", - "che ll", - "ĠCh ampion", - "ĠN ep", - "Ġent rance", - "Ġtown ship", - "c ome", - "Ġrelig ion", - "R C", - "Ġad ult", - "Ġh ired", - "ĠL iver", - "I t", - "ĠMP s", - "ĠPitts burgh", - "Ġpublic ations", - "Ġam b", - "ĠP as", - "Ġpass enger", - "Ġtemper ature", - "Ġadv ant", - "ĠH op", - "ĠO w", - "ĠSy m", - "ĠY ug", - "Ġpass ing", - "ĠB oys", - "r un", - "ĠP ur", - "f ather", - "Ġpremier ed", - "ĠRog er", - "fect ure", - "ĠRes erve", - "ĠSt age", - "Ġcall s", - "ĠC hem", - "ĠP rom", - "n ia", - "Ġnucle ar", - "ĠM ission", - "h ard", - "ĠMarg aret", - "and o", - "iam ond", - "ĠMet ropolitan", - "Ġ190 4", - "Ġp owers", - "Ġm el", - "Ġin stru", - "ĠD igital", - "v ements", - "Ġcaus ing", - "ĠW ard", - "ele ction", - "B I", - "or age", - "ĠE qu", - "Ġequ al", - "ĠSerb ian", - "7 3", - "Ġcl in", - "ish ops", - "ĠA M", - "ot ic", - "ĠI ron", - "ours es", - "ĠOtt oman", - "ĠG ene", - "ĠG ran", - "z er", - "Ġres erve", - "ĠRoman ian", - "ĠPet ers", - "Ġgen era", - "Ġinvol ving", - "ĠL l", - "Ġd a", - "Ġd ates", - "ĠB eat", - "6 2", - "ĠY an", - "ĠDis ney", - "ap olis", - "Ġfund s", - "ĠL et", - "Ġbo at", - "Ġem phas", - "ĠRail road", - "Ġc row", - "ĠS ac", - "Ġbas ic", - "ĠHung ary", - "ĠF el", - "Ġg ar", - "Ġesc ape", - "\" ).", - "ĠRoman ia", - "ĠJes us", - "ut ies", - "Ġpass es", - "Ġ *", - "Ġsele ction", - "ĠCom ics", - "Ġdec ades", - "ĠVenez uel", - "ĠR ick", - "us al", - "ĠF ight", - "ĠN AS", - "Ġprote ct", - "ĠM ult", - "ust er", - "Ġfle et", - "Ġconclud ed", - "Ġv o", - "Ġcont ained", - "pos es", - "ĠI mp", - "ter m", - "Ġpand emic", - "Ġv arian", - "Ġinc orporated", - "b urn", - "ĠGirl s", - "Ġy our", - "ĠM es", - "Ġp ed", - "ĠTransport ation", - "Ġ5 2", - "clus ion", - "Ġcompet e", - "Ġb ishop", - "ĠR io", - "Ġcompos ition", - "Ġtra v", - "ĠFinn ish", - "Ġm art", - "ĠS C", - "Ġdo ing", - "ĠBu ff", - "m ers", - "Ġregist ered", - "ĠWh o", - "is f", - "a fter", - "ĠFlor a", - "on omy", - "Ġadv oc", - "m at", - "s ki", - "Ġinflu enced", - "Ġinst alled", - "ĠD ance", - "s ong", - "ang er", - "ĠF all", - "ĠIn vest", - "' m", - "ĠHol lywood", - "ĠMic hel", - "av ed", - "Ġc ru", - "ĠSe attle", - "ĠN eb", - "Ġr ise", - "Ġtransl ation", - "Ġrequ est", - "ĠGr ant", - "Ġsome one", - "oth ing", - "Ġ188 0", - "% .", - "Ġsh ape", - "Ġe mp", - "A P", - "ap es", - "h ing", - "Ġexist ence", - "Ġo vers", - "n ers", - "Ġw arn", - "n et", - "uk i", - "Ġworld wide", - "Ġjoin ing", - "re es", - "Ġl aid", - "ĠR y", - "n ight", - "ĠR ights", - "Ġa id", - "ra cy", - "or f", - "ograph ics", - "Ġobserv ed", - "ĠMet ro", - "II I", - "Ġarg ued", - "Ġform al", - "Ġsc enes", - "W e", - "Ġview s", - "Ġemploy ees", - "ĠN et", - "Ġw atch", - "Ġdet ails", - "z i", - "Ġp ione", - "Ġconsist ing", - "Ġexper ien", - "ĠV eg", - "Ġmain tained", - ") \"", - "ĠP rad", - "re te", - "ĠCam er", - "ĠDef ense", - "Ġhom es", - "ĠT ak", - "hemat ics", - "ĠBalt imore", - "ĠF ive", - "ri k", - "Ġprom ote", - "Ġb odies", - "ĠB ull", - "or ro", - "ĠOb last", - "Ġan th", - "el and", - "Ġeng aged", - "Ġan aly", - "ĠEner gy", - "Ġrecord ings", - "ownt own", - "ret t", - "Ġcar ry", - "Ġ190 3", - "Ġsup erv", - "ĠPubl ishing", - "c ia", - "Ġanim al", - "ĠSe ction", - "L C", - "ĠBru ce", - "Ġdr ivers", - "Ġs oci", - "Ġsol id", - "un ction", - "Ġbir ds", - "ĠMar ie", - "ĠAr n", - "ĠCh amber", - "Ġsc ale", - "Ġstart s", - "Ġanim ated", - "h ar", - "ĠG a", - "ĠS af", - "S c", - "ĠMor gan", - "Ġstat ement", - "Ġcricket ers", - "Ġt or", - "ĠU E", - "Ġacc used", - "ra structure", - "as a", - "Ġband s", - "Ġop in", - "6 9", - "ĠPal ace", - "ĠTh ough", - "Ġcon stant", - "ĠColon el", - "r ations", - "ĠA y", - "idd en", - "Ġheav ily", - "ĠK an", - "ĠF ried", - "ĠR acing", - "Ġsur vey", - "Ġp ull", - "Ġqu ant", - "O R", - "Ġn om", - "Ġ5 1", - "ĠRuss ell", - "bass ador", - "un c", - "emb le", - "ĠWrit ers", - "Ġch air", - "ol t", - "Ġre aching", - "ell i", - "ĠB uck", - "st ar", - "ĠH ere", - "Ġtra ined", - "ov o", - "ang el", - "Ġso le", - "ĠKn ight", - "Ġpl ot", - "ul ate", - "ĠR ot", - "ĠCl ar", - "Ġad vent", - "Ġprote in", - "le te", - "ur day", - "Ġt ropical", - "Ġ5 5", - "ol ph", - "ĠP ear", - "pect ive", - "ĠOper ation", - "Ġspec ifically", - "ect s", - "ĠKel ly", - "Ġfound ation", - "Ġstand ards", - "Ġb atter", - "Ġass ess", - "Ġext rem", - "l on", - "ond er", - "Ġt rying", - "Ġ190 2", - "Ġ190 1", - "Ġarch ae", - "Ġeff ic", - "Ġcom ic", - "od a", - "ival ent", - "ĠSoc cer", - "p ers", - "ĠPe ace", - "Ġaff ected", - "ĠCro wn", - "ĠLe v", - "ĠChrist opher", - "id el", - "Ġb an", - "ch t", - "Ġchem ical", - "Ġis lands", - "Ġun cle", - "ĠF A", - "erb ai", - "Ġag ency", - "ĠD yn", - "h op", - "ather ine", - "ĠEx t", - "Ġimport ance", - "=\" #", - "ĠR est", - "it als", - "Ġbehav ior", - "ĠV ik", - "Ġtw elve", - "Ġvol unte", - "ĠP ad", - "Ġt un", - "Ġcomp ut", - "Ġt end", - "ĠYug oslav", - "arg o", - "ĠBanglades h", - "ĠPrin cess", - "Ġexp ed", - "t hen", - "d o", - "Ġto ward", - "Ġimpro ve", - "it ations", - "ĠP atri", - "Ġs ale", - "Ġm ent", - "ĠAd vent", - "ann ed", - "t op", - "et ies", - "int end", - "Ġhe ard", - "ĠDe an", - "ĠCo le", - "ĠLe ban", - "Ġtransl ated", - "Ġw rest", - "I V", - "ĠBroad cast", - "Ġv ide", - "ĠDe ad", - "Ġreb u", - "ĠPerson nel", - "ĠR and", - "Ġobject s", - "ĠStud io", - "or us", - "ine a", - "Ġh air", - "ĠMed icine", - "ĠP y", - "ash i", - "ĠMunicip ality", - "Ġs ession", - "ĠStew art", - "199 4", - "ĠYear s", - "ir t", - "ĠR an", - "Ġintro duction", - "aught ers", - "Ġre ality", - "Ġshe ll", - "Ġreg iment", - "Ġeng ines", - "ĠE ver", - "ĠFI FA", - "Ġneg ative", - "Ġl at", - "Ġse venth", - "Ġrece ption", - "ĠGl as", - "Ġpaint ers", - "ĠM aj", - "us cript", - "go ing", - "Ġde leg", - "ĠC are", - "Ġdep uty", - "ĠVi enna", - "own ed", - "Ġres istance", - "ann y", - "Ġw eather", - "Ġstr ateg", - "Ġsecond s", - "Ġcollabor ation", - "ĠCE O", - "ud a", - "ĠK on", - "Ġlic ens", - "Ġth row", - "Ġa head", - "es c", - "ĠHamp shire", - "bo ards", - "Ġar med", - "com ing", - "Ġn ick", - "Ġ4 7", - "b r", - "Ġ ille", - "Ġ {", - "ĠS ign", - "ĠMar ket", - "Ġdescrib es", - "Ġposs ess", - "ĠO ri", - "Ġad apted", - "ĠTourn ament", - "ĠL en", - "wh ite", - "Ġrul ed", - "ĠL ib", - "ĠB ed", - "ĠAss oci", - "ĠNe v", - "ĠTr ade", - "g ow", - "Ġproduc ing", - "os m", - "Ġext ension", - "est yle", - "Ġm ole", - "Ġaccom pan", - "ĠLith uan", - "ĠAng l", - "umb ent", - "Ġdist inct", - "ĠT rad", - "Ġz one", - "Ġbrief ly", - "D A", - "uss ion", - "ĠMe an", - "us hed", - "Ġd ivers", - "Ġp rice", - "Ġprov ed", - "Ġfact ory", - "ĠNel son", - "am ic", - "Ġ ri", - "ĠP sych", - "ĠG ill", - "le vel", - "Ġcall ing", - "C l", - "am an", - "ĠAz erbai", - "ĠE ston", - "ĠH orn", - "Ġdivision s", - "em en", - "Ġ ere", - "Ġentire ly", - "Ġpri ze", - "Ġste am", - "ĠPh ot", - "ĠO ur", - "Ġmar ine", - "ĠA T", - "ĠCamp bell", - "Ġcompos ers", - "Ġrev olution", - "ĠDall as", - "ĠLiver pool", - "Ġex erc", - "ink ing", - "Ġim ages", - "Ġle ct", - "M ar", - "ĠMain e", - "ĠSup port", - "Ġg ain", - "Ġclos ely", - "Ġup d", - "ĠConserv ative", - "aval ry", - "olley ball", - "ĠCh airman", - "in cluding", - "ĠOn ce", - "in ian", - "ĠAthlet ic", - "Ġschol ars", - "b al", - "Ġres idence", - "ect ive", - "Ġagric ultural", - "ĠA rena", - "ĠEconom ic", - "ĠH end", - "ming ham", - "ĠD od", - "ĠThom pson", - "ĠCarl os", - "ell ite", - "am s", - "Ġr ating", - "Ġch ose", - "duc ing", - "199 3", - "ĠAust in", - "ĠSar ah", - "ĠD ra", - "Ġnorth west", - "ĠK ra", - "ic it", - "Ġcaus es", - "Ġappl ications", - "ĠJim my", - "ah n", - "Ġdist in", - "Ġed ited", - "Ġinter ior", - "as ka", - "ov ation", - "ĠE very", - "Ġp ages", - "d y", - "Ġcontribut ions", - "Ġide as", - "Ġac id", - "ĠEp is", - "ĠNor man", - "ab y", - "ĠC hen", - "ĠF ood", - "Ġsur g", - "ĠM ethod", - "ĠAll iance", - "Ġsh all", - "th m", - "ina e", - "ĠW right", - "Ġm ilit", - "Ġdoc uments", - "ĠCom ple", - "ĠH ell", - "un ch", - "Ġcolon ial", - "Ġre duce", - "il er", - "Ġloc ality", - "Ġent ertain", - "Ġsymb ol", - "Ġin form", - "Ġcop y", - "Ġpass engers", - "ĠOrth odox", - "Ġdo or", - "f inal", - "ĠKenn edy", - "Ġfl at", - "Ġlead s", - "ĠUE FA", - "Ġproduc ers", - "ĠR ain", - "ĠPl at", - "Ġed ge", - "Ġdis miss", - "ĠAg ency", - "Ġp up", - "Ġopportun ity", - "in ch", - "ate gy", - "20 22", - "Ġathlet es", - "Ġ189 8", - "Ġch oice", - "Ġem ot", - "Ġg arden", - "inn er", - "Ġrail road", - "Ġbelie ve", - "Ġcharg es", - "Ġ5 4", - "aut iful", - "Ġgradu ate", - "og ether", - "199 2", - "Ġc rown", - "ins ula", - "Ġroad s", - "Ġstreng th", - "ent ially", - "ĠR ud", - "ĠBe ck", - "ĠO m", - "ĠN ord", - "ir i", - "Ġregard ed", - "Ġtechn iques", - "Ġw itness", - "Ġposs ibly", - "ĠOper a", - "p erson", - "ĠE mer", - "ĠAdam s", - "ĠL ower", - "ph a", - "Ġcomp ilation", - "ĠBrook lyn", - "ult an", - "W est", - "ĠB omb", - "Ġdebut ed", - "Ġpro ced", - "Ġinter ests", - "rane an", - "ĠSen ator", - "Ġon es", - "ĠK it", - "am o", - "uc ks", - "v ia", - "ĠFrank lin", - "Ġg etting", - "Ġres ign", - "ĠAp p", - "ar us", - "ĠBern ard", - "Ġimpro ved", - "Ġre ally", - "ĠB illy", - "ĠG ulf", - "ĠD ub", - "ĠN ash", - "Ġm ist", - "ph ony", - "at ures", - "ĠDem ographics", - "Ġcomm itted", - "ĠSerb ia", - "et ime", - "h aps", - "Ġa er", - "Ġoper ate", - "Ġdist ributed", - "Ġf lying", - "Ġan cest", - "ĠCo oper", - "ĠVol ume", - "aw are", - "ĠPort land", - "ob a", - "or ial", - "ter ed", - "Ġref uge", - "ĠRob inson", - "ĠTr ump", - "ĠDak ota", - "ĠCat al", - "ĠCon stitution", - "Ġadj acent", - "el er", - "ĠN am", - "Ġparticip ate", - "a ire", - "Ġf ine", - "ĠLI NE", - "ĠBir mingham", - "Ġc ore", - "le e", - "Ġsing ing", - "ĠP ir", - "ĠH om", - "Ġa x", - "Ġint elligence", - "ĠStan ley", - "are st", - "ĠBrother s", - "ĠI van", - "in ate", - "p en", - "Ġfav our", - "ĠW restling", - "p ir", - "Ġcon vent", - "Ġus ers", - "Ġw aters", - "Ġen l", - "Ġ15 0", - "Ġ189 9", - "Ġval ues", - "Ġcont rolled", - "ug ar", - "Ġs am", - "Ġdam aged", - "ĠL ud", - "Ġground s", - "oc racy", - "Ġcle an", - "Ġob tain", - "y pe", - "ĠUp per", - "Ġqu ite", - "u ct", - "Ġh am", - "ish ment", - "ĠTra ining", - "ĠMot or", - "b ach", - "Ġb rig", - "ĠMur ray", - "Ġ187 0", - "fer red", - "ĠV ari", - "ĠW ol", - "Ġsurv ived", - "Ġdemon st", - "ĠCon struction", - "writ ers", - "ic ate", - "ĠW a", - "Ġan s", - "ĠV erm", - "Ġpro s", - "ĠRe port", - "Ġclass ification", - "ĠTe le", - "ĠSoc orro", - "ĠB ush", - "gr ade", - "Ġse ctions", - "Ġfranch ise", - "ĠCh ang", - "Ġphot ograph", - "ĠMarsh all", - "ĠLINE AR", - "Ġrepe ated", - "Ġsub stant", - "ĠGra ham", - "Ġcomb ination", - "Ġit ems", - "Ġf ly", - "Ġmeas ures", - "Ġdra wn", - "et a", - "Ġb udget", - "Ġdef ensive", - "ish ments", - "ĠB ud", - "Ġbro ken", - "Ġcon sequ", - "aly mp", - "att an", - "ĠColle ction", - "ĠA BC", - "omm od", - "i op", - "ĠD oc", - "Ġelect ronic", - "Ġbel ief", - "Ġdefe ating", - "Ġpre m", - "ok a", - "s ch", - "h u", - "Ġann iversary", - "ĠYou T", - "Ġunivers ities", - "Ġshoot ing", - "ĠG ary", - "ors es", - "Ġbene f", - "ĠSat urday", - "Ġex act", - "l ie", - "ĠJ azz", - "Ġphil osophy", - "ĠA qu", - "Ġtrans ition", - "ĠMad rid", - "ill o", - "Ġdesign s", - "t ic", - "ĠS yn", - "Ġimpr ison", - "ĠM ort", - "ĠCar ter", - "ĠCh and", - "Ġt ank", - "Ġjust ice", - "Ġstand ing", - "Ġearl iest", - "Ġgr ade", - "Ġsign al", - "ĠR u", - "ĠTax a", - "ĠPier re", - "d in", - "Ġh our", - "ĠIn s", - "ĠSec ret", - "Ġgood s", - "ĠPre fecture", - "Ġw orth", - "ĠS i", - "Ġmom ent", - "I s", - "om ing", - "Ġown ers", - "Ġl ists", - "Ġm ort", - "Ġcapt ure", - "Ġfe ed", - "ĠIran ian", - "Ġjud ges", - "el ess", - "Ġmed icine", - "Ġre jected", - "Ġcritic ized", - "Ġd ry", - "c ious", - "ĠV ic", - "ĠCar ib", - "ĠV ers", - "r m", - "ĠC ass", - "Ġfinal s", - "d ers", - "ĠL ane", - "apt ist", - "b ishop", - "ĠArt ists", - "Ġtri p", - "N e", - "atab ase", - "ĠR ap", - "Ġprov incial", - "Ġhum ans", - "ĠP C", - "Ġhtt p", - "Ġcharg ed", - "Ġ6 3", - "Ġneigh bour", - "Ġact ual", - "Ġdeliver ed", - "ĠI v", - "ak ed", - "r ons", - "Ġch ain", - "or er", - "het ic", - "H e", - "Ġactiv ist", - "b ridge", - "ut ation", - "Ġd ie", - "ĠY orks", - "Ġpur poses", - "E E", - "Ġbott om", - "Ġ( ).", - "Ġrele g", - "ĠDef ence", - "G A", - "Ġpar allel", - "M an", - "w all", - "Ġpre mi", - "Ġgr ant", - "Ġ189 6", - "Ġinter pret", - "Ġcan cell", - "Ġter ror", - "ĠAg ain", - "oc a", - "Gen eral", - "Ġsk ills", - "Ġshow ing", - "ĠD aily", - "P C", - "Ġst ores", - "Ġreg ularly", - "ĠTh us", - "Ġv eter", - "c oh", - "b at", - "p at", - "ĠLe ad", - "abl ed", - "i ac", - "ĠMov ement", - "Ġs ell", - "ĠPar alymp", - "ĠJohn ny", - "hib ition", - "Ġprison ers", - "Ġmed ium", - "ant ly", - "ce ived", - "ĠA ld", - "if er", - "ot es", - "Ġg ets", - "be an", - "Ġse ems", - "Ġis ol", - "ĠS ax", - "ĠJ ason", - "Ġqual ifying", - "et on", - "T S", - "ĠCat hedral", - "ĠT ot", - "Ġven ues", - "t own", - "Ġc ourses", - "Ġgreat est", - "ol ar", - "ĠG or", - "Ġoppos ite", - "Ġro utes", - "ĠN ad", - "Ġn aval", - "Ġbusiness es", - "ĠCy cl", - "ĠW ing", - "Ġpubl ishing", - "Ġdesign er", - "ĠMedal ists", - "F M", - "Ġ189 7", - "Ġvict ims", - "ĠBen j", - "it able", - "ol ly", - "ĠGu y", - "ĠSt ra", - "Ġpurch ase", - "Ġhabit at", - "Ġsouth west", - "Ġa ware", - "Ġsub urb", - "ĠW oman", - "h t", - "ĠNaz i", - "Ġlegisl ation", - "ĠOrgan ization", - "al ia", - "w right", - "iel der", - "ĠLank a", - "Ġtri es", - "over ty", - "iter ranean", - "Ġ189 5", - "199 1", - "l s", - "Ġstri p", - "Ġpers ons", - "I nd", - "ĠEgypt ian", - "ĠAddition ally", - "Ġfact ors", - "ĠYorks hire", - "Ġresident ial", - "ou ver", - "Ġe gg", - "Ġjournal ists", - "E S", - "Ġ5 6", - "le ased", - "ast ery", - "ĠN BA", - "Ġin sc", - "op eration", - "Ġd ies", - "ĠH ig", - "Ġfre edom", - "Ġb oys", - "Ġmet ers", - "Ġm ile", - "Ġh its", - "Ġstand s", - "ĠAp pe", - "Ġg ender", - "d r", - "Ġscient ists", - "P ro", - "y ll", - "Ġmin ute", - "mer ce", - "ĠA R", - "Ġw ounded", - "x ual", - "Ġbusiness man", - "Ġhe at", - "Ġadm itted", - "r ong", - "Ġr ivers", - "Ġt ack", - "Ġadvant age", - "ĠT ob", - "ace ae", - "ol ia", - "Ġ5 3", - "Ġexam ples", - "ĠBe g", - "ĠM ack", - "Ġatt ached", - "ĠNiger ia", - "Ġarran ged", - "t ure", - "Ġkn ock", - "am ents", - "ĠR ico", - "le ans", - "ĠWind ows", - "Ġt ur", - "ĠAuthor ity", - "Ġdr iving", - "Ġm emorial", - "Ġh ill", - "ĠK um", - "Ġc risis", - "Ġal leg", - "h ai", - "ĠCap ital", - "Ġdev ice", - "Ġmot ion", - "ĠCo ok", - "Ġcy cle", - "' re", - "ĠSer ge", - "res ents", - "ĠWeb site", - "ip h", - "Ġdesc ription", - "ĠLiter ature", - "ĠTro phy", - "ĠF ull", - "Ġcost s", - "ĠI an", - "ĠGh ana", - "f iction", - "Ġcommun ication", - "Ġacc ommod", - "Ġst ages", - "um in", - "N C", - "Ġstre ets", - "Ġsy nd", - "ĠM oths", - "ĠGu ide", - "Ġs ave", - "Ġwh y", - "ĠEv ans", - "ĠPar ish", - "Ġeas ily", - "Ġro b", - "or ce", - "O C", - "Ġsequ ence", - "Ġcred ited", - "v ant", - "end ment", - "ĠGr ay", - "ĠH as", - "Ġs uff", - "Ġcl imb", - "Ġd uty", - "ĠGr ade", - "as ure", - "Ġsub mar", - "Ġdec ade", - "l ow", - "Ġm ine", - "Ġr ich", - "Ġrest rict", - "Ġdeterm ine", - "Ġfa ith", - "as i", - "198 0", - "se a", - "Ġstar red", - "Ġro oms", - "ĠDer by", - "ĠS r", - "Ġcomm une", - "M P", - "- -", - "ĠElect ric", - "Ġk id", - "Ġcour ts", - "ĠEle mentary", - "Ġprote cted", - "ĠNot e", - "Ġg ang", - "Ġtyp ical", - "ia h", - "ĠH um", - "Ġmembers hip", - "ot hes", - "Ġren ew", - "ĠRich mond", - "Ġf er", - "Ġpain ted", - "a uty", - "Ġdem and", - "Ġcom ed", - "ĠGlas gow", - "ay ed", - "rap y", - "Ġs ki", - "ĠOr leans", - "Ġmy th", - "ĠU g", - "Ġass umed", - "Ġret ained", - "Ġa f", - "ĠCon vention", - "ĠMed iterranean", - "e enth", - "Ġb ond", - "Ġrun ner", - "ie ce", - "Ġh unt", - "Ġcirc um", - "b ul", - "Ġre action", - "Ġassist ance", - "Ġthe ater", - "ĠPrim ary", - "Ġoper ates", - "pro fit", - "Ġrest ored", - "ĠJ ama", - "ĠE ug", - "r ant", - "Ġaccompan ied", - "Ġnick n", - "ĠL ad", - "m und", - "Ġmin ing", - "Ġinvest ment", - "ĠF oot", - "Ġp ool", - "oh n", - "ĠJud ge", - "ĠMil an", - "Ġoff ensive", - "ch o", - "Ġte en", - "Ġf an", - "ĠM ond", - "ĠS S", - "ĠM ap", - "op al", - "ĠBor ough", - "Ġc ited", - "ĠUr ban", - "ĠBar ry", - "ĠCrit ical", - "ĠT u", - "Ġfl o", - "ann els", - "Ġvide os", - "Y ou", - "s er", - "ĠPublic ations", - "m ith", - "ĠConf eder", - "c ussion", - "ĠDisc ography", - "ĠFle et", - "ĠChall enge", - "ĠHind u", - "ĠSpec ies", - "ĠF ather", - "ĠC her", - "il st", - "198 9", - "Ġcon text", - "a ired", - "Ġ5 7", - "ĠMu ham", - "ter y", - "Ġp ian", - "Ġrep resents", - "Ġse ed", - "Ġut il", - "ĠTig ers", - "ĠP av", - "c op", - "Ġf est", - "ĠSal v", - "ĠWay ne", - "Ġb rain", - "Ġnot ably", - "Ġexecut ed", - "Ġhead ed", - "ĠBroad way", - "Ġf ra", - "Ġd oll", - "R S", - "ĠW W", - "ĠK ath", - "ran g", - "ick et", - "ĠThe ater", - "ĠFran ces", - "C D", - "cycl op", - "Ġexperien ced", - "Ġc ous", - "on ian", - "Ġret ail", - "ac c", - "Ġnewsp apers", - "Ġadv is", - "Ġb ed", - "d oor", - "Ġf ired", - "ĠAnd y", - "Ġst ood", - "ĠM i", - "iv ated", - "ĠAct ress", - "Ġ189 3", - "ĠPict ures", - "Ġchall enge", - "Ġman uscript", - "Ġpolic ies", - "Ġpr ime", - "Ġgr ass", - "Ġ6 2", - "Ġs ed", - "is hers", - "ĠH old", - "ĠSele cted", - "Ġcolle ctions", - "Ġd ating", - "re c", - "Ġ186 0", - "ĠPrad esh", - "Ġc aught", - "ak u", - "Ġreturn s", - "or row", - "Ġsepar ated", - "o i", - "Ġlook ing", - "edd ing", - "ĠF ace", - "Ġcar rying", - "Ġin fl", - "Ġj ump", - "th a", - "ĠV as", - "Ġher itage", - "Ġdou b", - "Ġcon qu", - "i ation", - "ĠB aker", - "Ġra cial", - "I P", - "k ov", - "c ular", - "in ter", - "Ġs elling", - "ĠPolit ics", - "Ġt ail", - "Ġform ally", - "g ie", - "ĠPh oen", - "Ġconcern s", - "ĠR ena", - "Ġb ran", - "Ġr hy", - "ĠWar ren", - "ĠCent ury", - "ĠN ever", - "Ġuns uccess", - "ows ki", - "Ġw ings", - "ot an", - "ĠF rid", - "ĠH it", - "Ġstop ped", - "Ġass ault", - "P h", - "ĠYouT ube", - "ĠP il", - "Ġele ctoral", - "ĠFl ore", - "ĠV el", - "ĠBl ues", - "ĠM ong", - "uk a", - "ĠPer u", - "ac on", - "Ġ189 4", - "c hers", - "Ġ188 9", - "ĠB rist", - "ĠL ov", - "Ġkil omet", - "ĠD J", - "ĠGab ri", - "ĠN at", - "ĠSe ven", - "ra ge", - "Ġde st", - "Ġn or", - "ĠMit chell", - "R e", - "ĠCharl ie", - "ĠJ osh", - "ul u", - "Ġf iled", - "ec ution", - "ĠF act", - "ĠDel hi", - "ie ge", - "ĠBenj amin", - "Ġrestaur ant", - "y les", - "att ers", - "Ġd uties", - "ras ka", - "Ġast ron", - "ĠRang ers", - "Ġcar bon", - "ro c", - "Ġ189 2", - "Ġe ye", - "ĠA er", - "ind ing", - "Ġun iform", - "ĠM other", - "ĠMon te", - "Ġv aria", - "Ġatt ract", - "ĠSlov ak", - "Ġinstr uments", - "Ġt all", - "Ġmag azines", - "lo ad", - "amp s", - "Ġend emic", - "op les", - "is d", - "ĠA S", - "ĠR al", - "ĠLim ited", - "it ime", - "ĠR av", - "ĠC art", - "Ġsom ew", - "Ġsignificant ly", - "ĠL anguage", - "Ġin her", - "ĠM ans", - "ĠG un", - "ok ed", - "ĠC ase", - "ĠMan h", - "ĠPol y", - "ten ance", - "anc ouver", - "Ġshe l", - "j ab", - "Ġguitar ist", - "Ġcoast al", - "Ġadapt ation", - "Ġlin k", - "Ġnot hing", - "Ġcolle ges", - "Ġsever e", - "ĠB und", - "ĠB enn", - "Ġarr ival", - "ĠQu arter", - "ĠM all", - "ĠN orm", - "ĠComp anies", - "ĠM ess", - "Ġdemon str", - "orn e", - "Ġth ick", - "m aster", - "Ġpre ced", - "Ġcritic ism", - "Ġleg end", - "ĠR ic", - "ĠHawai i", - "Ġtest ing", - "p age", - "Ġdeg rees", - "ĠNov a", - "ĠNev ada", - "ĠGu inea", - "ĠColomb ia", - "Ġown ership", - "Ġwind ows", - "ĠTown s", - "forman ce", - "ar an", - "aw ay", - "Ġb at", - "ĠNep al", - "Ġexpress ion", - "H S", - "igg est", - "Ġequ ivalent", - "Ġrom antic", - "Ġb rick", - "Ġrespons ibility", - "Ġbring ing", - "or iginal", - "Ġob l", - "eg et", - "Ġin stitution", - "Ġexpl os", - "ĠN ation", - "ut ions", - "Ġ1 20", - "Ġcol our", - "ĠB urg", - "ĠCon n", - "Ġus er", - "ĠVo iv", - "le ton", - "h ab", - "ĠZ e", - "ĠAnd r", - "as hed", - "Ġmed als", - "ok er", - "ĠAlbert a", - "ĠNeb raska", - "Ġchampionship s", - "ĠM ak", - "Ġinc orpor", - "ĠB achelor", - "Ġorgan isation", - "Ġpo ets", - "id ency", - "Ġd aughters", - "Ġdep end", - "l ock", - "ĠWar ner", - "Ġpract ices", - "Ġfl ower", - "c ount", - "gress ive", - "usal em", - "N o", - "Ġlearn ed", - "ph an", - "Ġpo em", - "Ġfl owers", - "Ġsuccess or", - "he me", - "Ġco ordin", - "Ġother wise", - "ĠBarb ara", - "ĠSc hed", - "Ġmunicipal ities", - "ĠV lad", - "Ġ188 5", - "is ations", - "Ġvess els", - "Ġst orage", - "Ġsugg ests", - "ĠStand ard", - "ĠBuff alo", - "Ġin du", - "ĠPhilipp ine", - "ĠG rad", - "Ġfilm ed", - "ĠWeek ly", - "Ġunder standing", - "ph one", - "ship s", - "wh o", - "ast rop", - "ĠAl t", - "Ġreplace ment", - "ĠJ enn", - "Ġ189 1", - "bre ak", - "ĠCarib bean", - "ĠMin or", - "ĠHun ter", - "Ġh ur", - "o om", - "Ġwind ow", - "Ġcol span", - "odes hip", - "ĠT ower", - "Ġfact or", - "Ġch ance", - "ater n", - "ĠY e", - "i ya", - "p ower", - "Ġp hen", - "arm a", - "Ġw ave", - "ĠSpe ed", - "Ġlin ked", - "Ġcrow d", - "O N", - "il k", - "ĠF itz", - "ĠMuham mad", - "ĠU nt", - "Ġacc ur", - "Ġturn s", - "st ances", - "Ġmed ieval", - "Ġcross ing", - "ĠAl aska", - "ĠJon athan", - "le m", - "Ġprep ared", - "x ts", - "Ġclass ified", - "Ġrece pt", - "Ġdis appe", - "Ġcover age", - "D S", - "ĠP ant", - "ĠW ang", - "u y", - "Ġdif ference", - "Ġdi agn", - "ĠF ine", - "Ġpeak ed", - "M E", - "Ġhost s", - "elle ct", - "en ia", - "Ġcomm emor", - "st ad", - "Ġnomin ation", - "Ġsound track", - "Ġinter ested", - "Ġb anks", - "og le", - "n ik", - "ĠGre ater", - "Ġf rag", - "ĠJ ess", - "Ġ7 6", - "Ġauth ors", - "Ġoccup ation", - "ĠRe lease", - "Ġrec ip", - "rupt ion", - "ĠSt ars", - "ĠV ancouver", - "Ġt ied", - "Ġmon ument", - "ĠVictor ian", - "ĠCharl otte", - "av an", - "Ġdev ices", - "Ġm outh", - "ch ang", - "Ġdid n", - "ĠTechn ical", - "198 8", - "Ġartist ic", - "f are", - "ĠAp ple", - "ĠK os", - "ĠP A", - "Ġv eget", - "Ġf ictional", - "ĠL ate", - "Ġweek ly", - "ĠBeng al", - "ien cy", - "ĠProt est", - "ĠS aints", - "ĠUn it", - "ĠCon stant", - "ĠT ang", - "ĠRec ipients", - "ĠAm az", - "Ġinv ent", - "Ġthe ore", - "ĠA P", - "Ġcover ing", - "Ġens ure", - "Ġd anc", - "Ġm obile", - "ĠS um", - "Ġrec ru", - "Ġte achers", - "Ġland ing", - "Ġdesc end", - "Ġun us", - "Ġsubject s", - "ĠBl ood", - "ĠT ag", - "ĠH ud", - "ark ed", - "Ġ| }", - "ict ions", - "ant ine", - "Ġag encies", - "ĠAss istant", - "Ġfl ows", - "Ġparliament ary", - "Ġb iggest", - "anc ell", - "Ġchild hood", - "Ġ6 1", - "Ġass ass", - "ĠVoiv odeship", - "ĠAl ger", - "en burg", - "ar on", - "Ġas pects", - "ens es", - "ĠL uther", - "ĠHe b", - "ri x", - "ĠNich olas", - "ĠClass ic", - "Ġ ign", - "ĠDef unct", - "ĠChart s", - "ĠL ore", - "ot ype", - "ĠAl ice", - "ĠSt re", - "ĠOn line", - "198 7", - "Ġart illery", - "ik o", - "A m", - "Ġs un", - "ĠP le", - "Ġc old", - "ĠFil ip", - "ourn als", - "Ġp od", - "ric ane", - "Ġexper t", - "er ia", - "Ġde pos", - "Ġstr uck", - "ĠC hel", - "Ġsquad ron", - "m osp", - "iv ia", - "Ġmanufact uring", - "ĠInd ians", - "ĠF ab", - "ĠSte el", - "ĠP ast", - "ĠEx per", - "Ġcount ies", - "ĠUl t", - "Ġpopular ity", - "ou stic", - "an im", - "Ġ188 8", - "Ġminist ers", - "ĠGri ff", - "g ov", - "Ġstay ed", - "Ġv ary", - "ĠDist ribution", - "ĠBrist ol", - "ess ions", - "oc ol", - "Ġc up", - "iv an", - "ĠLu is", - "ĠS umm", - "Ġhistor ians", - "ĠO range", - "Ġelim inated", - "Ġforest s", - "Ġs ort", - "force ment", - "Ġass embly", - "E ng", - "ĠF ish", - "Ġd og", - "f olk", - "f ers", - "id ad", - "ĠFac ulty", - "j u", - "Ġappro pri", - "ounc ill", - "ĠC ode", - "ĠS id", - "ĠAfghan istan", - "Ġclass ic", - "ur u", - "ĠP in", - "Ġro se", - "Ġp apers", - "old s", - "Ġre ferences", - "ue z", - "ĠSt orm", - "Ġdisestabl ished", - "Ġgen e", - "sh aped", - "Ġaccom pl", - "in ations", - "ĠJer usalem", - "Ġeven ing", - "Ġlocomot ives", - "Ġd ated", - "Ġele ment", - "ĠPark er", - "ĠMor oc", - "ĠD NA", - "il ia", - "Ġhead s", - "Ġpict ure", - "ĠT ol", - "ĠAp pl", - "Ġsc heme", - "ĠC inc", - "h us", - "Ġm anga", - "oth y", - "og a", - "M C", - "Ġd im", - "b el", - "Ġch annels", - "Ġinf rastructure", - "ĠAdm iral", - "ĠM ind", - "Ġ5 8", - "ĠSm all", - "Ġl es", - "Ġche ck", - "Ġf ram", - "Ġrequire ments", - "Ġgradu ating", - "Ġ id", - "Ġf alls", - "ĠS R", - "Ġor chestra", - "Ġappoint ment", - "ĠMean while", - "ĠK ap", - "h and", - "ĠU nd", - "Ġ vert", - "ĠSa udi", - "ĠM aced", - "Ġt ie", - "st ory", - "ĠN i", - "Ġsynt hes", - "ann er", - "ush ing", - "Ġag greg", - "Ġaff airs", - "Ġpen alty", - "Ġprocess es", - "Ġwithd raw", - "Ġwhe el", - "ĠS ide", - "ĠSo ft", - "ĠOl iver", - "ĠCont emporary", - "ra ce", - "ov en", - "ĠE sp", - "Ġcondu ct", - "Ġsign ing", - "Ġn ations", - "Ġb it", - "app ing", - "ĠR AF", - "Ġ188 7", - "Ġf ixed", - "ĠA round", - "ĠKn ights", - "ĠIn it", - "ĠE vent", - "m m", - "Ġ186 5", - "Ġsent enced", - "Ġround s", - "Ġl ieutenant", - "Ġt ask", - "Ġdif ferences", - "Ġaud io", - "Ġconv icted", - "Ġs now", - "Ġre nt", - "kn ow", - "ĠA ction", - "Ġp overty", - "c ons", - "Ġr ates", - "ĠKn ow", - "ĠCl are", - "ur ers", - "Ġcomm it", - "ĠPr incip", - "Ġnomin ations", - "Ġr u", - "Ġthous ands", - "Ġst ret", - "ĠAnt i", - "Ġrepl acing", - "ĠK un", - "c ard", - "ĠSh a", - "rib ed", - "is ition", - "ĠB ron", - "Ġopin ion", - "ĠManh attan", - "Ġappear ing", - "Ġexped ition", - "Ġl iqu", - "ĠN ature", - "Ġpl ane", - "ĠS oul", - "Ġchap ter", - "claim ed", - "Ġquest ions", - "i ary", - "ĠS ultan", - "198 6", - "ij ing", - "w ig", - "ĠHis pan", - "ĠArt illery", - "Ġmov ements", - "ĠB ert", - "Ġenc ounter", - "cast le", - "Ġev olution", - "Ġextrem ely", - "Ġj ourney", - "Ġm ental", - "ĠTr inity", - "ĠFre edom", - "ĠH em", - "Ġsur re", - "Ġso il", - "Ġm ac", - "i ors", - "f ish", - "ar is", - "Ġlim it", - "b oy", - "Ġmon arch", - "Ġportray ed", - "Ġind igenous", - "ĠY am", - "Ġrel ative", - "p ent", - "u is", - "Ġadd ing", - "Ġemer gency", - "ĠCroat ian", - "ĠP age", - "ĠMod el", - "ĠDi ocese", - "ele cted", - "Ġl ov", - "f eld", - "Ġindic ate", - "ĠCont rol", - "Ġs ax", - "Ġtem porary", - "press ion", - "ĠTra il", - "Ġwood en", - "Ġnot e", - "ĠIs a", - "al is", - "ĠPl ant", - "le ment", - "Ġpl ate", - "in os", - "Ġwe ak", - "ach t", - "ĠKir k", - "Ġcap able", - "ĠBar cel", - "Ġstr ategy", - "in ces", - "198 5", - "ĠF alls", - "Ġme ets", - "Ġterrit ories", - "ĠSh ang", - "kee per", - "Ġ186 4", - "Ġtechn ique", - "ĠEduc ational", - "ĠMar s", - "Ġsu icide", - "Ġphot ography", - "Ġoffer ing", - "ĠY u", - "ĠAd ela", - "Ġw or", - "Ġ188 6", - "ĠF eat", - "ĠHarris on", - "b ut", - "ĠPo et", - "ĠB ranch", - "oph one", - "Ġh ip", - "ist ani", - "Ġsubs idi", - "Ġdef ence", - "ĠK o", - "Ġag o", - "us c", - "ĠP ay", - "ĠTerrit ory", - "Ġam ateur", - "Ġmount ains", - "he red", - "m aker", - "uss ian", - "ĠRe f", - "Ġvol umes", - "Ġloss es", - "Ġking dom", - "Ġel der", - "Ġsusp ended", - "Ġv ision", - "ĠSh ip", - "ĠCh ron", - "ĠD raw", - "er k", - "ĠM L", - "ĠZ one", - "h ost", - "Ġactiv ists", - "Ġhor ror", - "ĠSocial ist", - "ro v", - "im ir", - "Ġrough ly", - "Ġo ption", - "ĠArmen ian", - "ĠEle ction", - "Ġl ap", - "E D", - "c are", - "ĠL ost", - "Ġc ards", - "ĠCost a", - "m ate", - "ĠColl ins", - "ĠGl en", - "Ġpo ems", - "cel and", - "Ġassoci ate", - "ĠT ib", - "ĠC BS", - "Ġbound ary", - "en berg", - "st ery", - "St ar", - "ĠL ag", - "Ġal coh", - "Ġcompet ing", - "ir ation", - "Ġpropos al", - "Ġden ied", - "ĠL is", - "ge on", - "Ġe yes", - "Ġrel ief", - "ĠPriv ate", - "ĠEd ition", - "Ġ186 1", - "ĠPhoen ix", - "ĠT as", - "inn ati", - "ĠVin cent", - "ĠF isher", - "ab a", - "197 0", - "udd en", - "aj a", - "ra ck", - "ĠS outheast", - "198 4", - "Ġc atch", - "ĠTurn er", - "ĠR ank", - "u art", - "Ġ6 6", - "ĠGian ts", - "ew ork", - "ag g", - "Ġappe al", - "ĠC A", - "uck land", - "Ġcompon ents", - "ĠB aptist", - "ist ical", - "Ġrec re", - "ĠE U", - "ĠFilm ography", - "ĠCub a", - "ic on", - "ĠC ities", - "ĠUnivers al", - "Ġev al", - "ĠEs s", - "Ġfind ing", - "Ġ18 50", - "Ġ186 3", - "ĠB ible", - "ĠM A", - "ud es", - "ĠC ond", - "ac re", - "Ġcred it", - "ĠAzerbai jan", - "Ġim ag", - "ĠArchite cture", - "Ġf oss", - "Ġh ang", - "ĠS ah", - "ĠSp irit", - "Ġf ruit", - "Ġper cussion", - "Ġf al", - "te enth", - "ĠF ell", - "g ate", - "Ġpl us", - "Ġbran ches", - "Ġmess age", - "Ġexper iences", - "Ġthreat ened", - "ĠOriginal ly", - "Ġceleb rated", - "Ġass ign", - "ĠH ouses", - "Ġent ering", - "com mun", - "ĠF if", - "Ġexpl ained", - "ĠCommission er", - "ĠAnt ar", - "Ġentertain ment", - "ĠFl ight", - "ĠR at", - "ĠP ow", - "ĠSym phony", - "ĠIndust rial", - "Ġe ighth", - "Ġinvol vement", - "ĠPopul ation", - "at ar", - "ett a", - "Ġdou bles", - "an ne", - "ĠN E", - "Ġc m", - "ĠComp uter", - "Ġdem olished", - "ĠOver all", - "ĠPun jab", - "Ġdecl ined", - "Ġlic ense", - "Ġun f", - "Ġf ishing", - "l ater", - "m el", - "ĠS ite", - "Ġjur isd", - "ĠProf ile", - "Ġm oth", - "Ġdeb ate", - "Ġthe at", - "ĠRet urn", - "m od", - "Ġint ent", - "Ġswim ming", - "ĠAn cient", - "Ġhelp ing", - "Ġsp r", - "Ġaccount s", - "Ġ186 2", - "f ielder", - "ier ra", - "ĠS ad", - "Ġcous in", - "Ġconserv ation", - "ĠArt ist", - "ry pt", - "Ġg ather", - "Ġachie ve", - "b ane", - "il arly", - "ĠCra ig", - "os ph", - "Ġsup posed", - "us ing", - "ĠN BC", - "C on", - "ĠHer bert", - "Ġre nd", - "ty pe", - "Ġcontrovers y", - "Ġ188 4", - "ig o", - "ĠCommun ications", - "Ġra ise", - "ĠJer ry", - "Ġd ress", - "v ision", - "Ġst ring", - "ĠB ass", - "ĠG rey", - "Ġm ob", - "ot ton", - "Ġform ing", - "ĠCinc innati", - "is in", - "Ġinflu ential", - "ĠBarcel ona", - "st ers", - "D F", - "Ġcal cul", - "Ġex cell", - "ĠAl ong", - "Ġw arm", - "Ġstud ying", - "ĠJ oy", - "h ill", - "Ġmiss ions", - "Ġs olution", - "Ġf illed", - "ster dam", - "od ge", - "Ġprom pt", - "s a", - "ĠAdela ide", - "Ġaff ect", - "ĠH amb", - "w here", - "iss ue", - "re pre", - "ĠB ath", - "as p", - "Ġb en", - "Ġind icated", - "Ġ5 9", - "oy al", - "je ction", - "ĠL ions", - "Ġv ar", - "ĠA uckland", - "Ġlaw yers", - "hol m", - "ĠTh or", - "Ġrequ ires", - "M I", - "ĠC old", - "ĠH erman", - "ĠC ou", - "repre ne", - "198 3", - "ĠMun ich", - "Ġdra g", - "ĠSt art", - "ĠL P", - "ĠA viation", - "verse as", - "Ġarchitect ural", - ". :", - "A ll", - "ĠD og", - "hel m", - "ĠC S", - "g un", - "ĠH ugh", - "ag ar", - "Ġspirit ual", - "ĠShe l", - "ĠJ a", - "Ġcr ash", - "ĠC ob", - "Ġinj uries", - "Ġw restling", - "Ġparticip ation", - "Ġper haps", - "ĠWinn ers", - "ĠCan al", - "en cer", - "am pton", - "Ġor ient", - "Ġj ournals", - "ar ks", - "id o", - "ĠCroat ia", - "e or", - "ĠS z", - "ĠG oth", - "Ġprofess ion", - "ign ated", - "Ġsec ure", - "let t", - "ĠMag n", - "Ġvot ing", - "re hens", - "x i", - "ĠHe avy", - "ar at", - "and al", - "Ġ188 1", - "Ġp itch", - "m o", - "ĠD raft", - "ĠG round", - "ĠK ur", - "Ġd owntown", - "oc ation", - "ament al", - "Ġvess el", - "? \"", - "Ġcam era", - "ĠAngl ican", - "Ġrank ing", - "Ġinst ance", - "ĠCl ay", - "Ġ7 2", - "ĠB es", - "Ġcr imes", - "Ġsurround ed", - "Ġfr ame", - "Ġman ner", - "Ġc rop", - "Ġsh ut", - "ĠCr ime", - "ĠEx pl", - "Ġappro val", - "ĠBroadcast ing", - "ah o", - "ĠH av", - "Ġland scape", - "rib ute", - "ames e", - "ĠC ad", - "ot yp", - "Ġexist ed", - "Ġmark ets", - "Ġ6 7", - "ĠGon z", - "Ġperson ality", - "M L", - "ĠR ing", - "Ġbatt les", - "ĠS che", - "Ġ rif", - "ĠConserv ation", - "ah a", - "ĠH ann", - "Ġdep th", - "Ġele ven", - "e ed", - "ĠBe ijing", - "y t", - "Ġrepresent ation", - "inent al", - "ig ible", - "d est", - "Ġper fect", - "Ġse gment", - "Ġprot ests", - "ĠLl oyd", - "Ġsold ier", - "ĠY ang", - "Ġcor rect", - "r ub", - "ĠS ig", - "ĠS now", - "so ft", - "Ġm ir", - "ĠI celand", - "ĠB our", - "Ġann ually", - "Ġt ribut", - "f ly", - "Ġcomplet ion", - "at ically", - "Ġdon ated", - "ĠPer formance", - "ĠSystem s", - "ĠM asters", - "ĠArch ae", - "ont in", - "Ġl ob", - "Ġv ic", - "ĠTer ry", - "ab ilities", - "om on", - "Ġout put", - "Ġser ial", - "ĠB ris", - "ĠMont ana", - "ellect ual", - "ĠF inals", - "Ġex ternal", - "Ġthem es", - "Ġd ub", - "ĠBe h", - "born e", - "Ġnet works", - "Ġth in", - "Ġ8 5", - "Ġsk in", - "ia ble", - "ĠKe ith", - "Ġrepresent atives", - "ĠP el", - "p ine", - "ĠP ack", - "Ġmod ified", - "ĠY ale", - "Ġinf antry", - "p read", - "ĠArab ic", - "Ġcab inet", - "Ġf ear", - "Ġc ool", - "ĠB att", - "ul i", - "Ġsurv iving", - "iss ions", - "ĠIndust ry", - "ĠG ay", - "ĠF am", - "Ġconc rete", - "ĠP ont", - "if ican", - "iz ations", - "Ġpubl isher", - "Ġw ides", - "Ġb on", - "ĠWith in", - "ĠV I", - "ĠPol icy", - "ine e", - "Ġequip ped", - "Ġvis itors", - "ic ial", - "N S", - "ĠTy pe", - "ĠSh aw", - "ĠSte vens", - "iv ation", - "Ġhon ors", - "O M", - "197 9", - "ĠLar ry", - "Ġre act", - "oun ced", - "ĠThe od", - "amp a", - "E P", - "ĠMer c", - "Ġcirc uit", - "ĠC atherine", - "Ġn av", - "ĠEth iop", - "Ġlast ed", - "ĠM ig", - "ifican ce", - "Ġstrong ly", - "Ġgen re", - "ĠBulg arian", - "h um", - "ĠA ber", - "Ġyoung est", - "Ġre un", - "ĠG olf", - "Ġto ols", - "s is", - "Ġ188 2", - "Ġincreasing ly", - "ĠW es", - "ĠVenezuel a", - "ĠSe b", - "Ġdra f", - "ĠH ad", - "Ġd ream", - "ĠB uch", - "Ġk g", - "m ath", - "il ty", - "Ġcon gress", - "ĠRepresent ative", - "Ġtrib e", - "ĠInd ividual", - "Ġcolle ct", - "p p", - "ĠM ason", - "ĠForm ula", - "Ġd iam", - "ĠHen ri", - "Ġcent ers", - "Ġmart ial", - "Ġhapp ened", - "Ġsh ares", - "Ġille gal", - "Ġrep utation", - "ĠF uture", - "% ,", - "ĠG w", - "Ġadop t", - "ĠVeg as", - "Ġext ens", - "Ġrow span", - "Ġtransport ation", - "Ġabs or", - "ich i", - "Ġplatform s", - "ĠStat istics", - "ĠHud son", - "Ġpred e", - "Ġ9 5", - "ĠS A", - "Ġre pro", - "a uc", - "enn ial", - "ocrat ic", - "Ġvis iting", - "Ġs oul", - "ol in", - "Ġn one", - "ug s", - "i u", - "Ġpan el", - "ĠS alt", - "ĠAm sterdam", - "Ġb es", - "c alled", - "ĠP aint", - "bu ild", - "ĠS ask", - "ĠGo ogle", - "Ġne ut", - "cer ts", - "ro t", - "ĠLeg acy", - "us k", - "ag re", - "ĠEnvironment al", - "ke ley", - "oc al", - "Ġpr on", - "Ġmin imum", - "ĠB rew", - "Ġinn ings", - "Ġw ine", - "Ġhtt ps", - "t ical", - "oun sel", - "Ġplay offs", - "Ġdecl ine", - "ĠBulg aria", - "ĠBr un", - "ick ets", - "ĠG ust", - "ĠUn like", - "Ġs we", - "Ġatt orney", - "grad uate", - "ĠAtt orney", - "ĠSte ven", - "Ġa cted", - "ĠOr ig", - "ent e", - "Ġt ests", - "ĠMar vel", - "ĠNor folk", - "Ġdist inguished", - "b ound", - "Ġbelong ing", - "c z", - "ĠOper ations", - "Ġd ig", - "Ġpre gn", - "ac le", - "\" ;", - "ĠL an", - "osp itals", - "ĠB og", - "Ġsat isf", - "ash a", - "Ġcont ested", - "Ġcan n", - "Ġsurg ery", - "Ġt as", - "m ates", - "ĠBel arus", - "Ġsettle ments", - "ph al", - "d d", - "Ġbe ar", - "ĠM ix", - "od s", - "iz er", - "ing en", - "ĠM ann", - "ĠVerm ont", - "ĠT erm", - "Ġro ut", - "Ġatt ributed", - "se cts", - "Ġpreserv ed", - "el i", - "Ġto w", - "b us", - "w inning", - "Ġpost ed", - "ĠM az", - "or o", - "ig rated", - "Ġsc ope", - "Ġstat ue", - "Ġem igrants", - "ĠC ann", - "Ġsub t", - "Ġagric ulture", - "ast s", - "ĠTreat y", - "! \"", - "Ġan ch", - "ĠHar old", - "Ġelev ation", - "ĠN umber", - "Ġmerch ant", - "L P", - "ĠCamp aign", - "Ġmain tenance", - "Ġd rew", - "Ġbene fit", - "Don ald", - "itar ian", - "Ġcancell ed", - "Ġphil os", - "Ġrul ing", - "ĠD iamond", - "en os", - "ĠH orse", - "L a", - "ĠG ot", - "it is", - "ĠCur t", - "Ġcontin uing", - "Ġg olf", - "Ġag ents", - "ĠLu x", - "b rid", - "ĠRob in", - "ograp hers", - "Ġf ix", - "Ġdom ain", - "Ġbe ach", - "ĠL ie", - "198 2", - "z es", - "Ġcou ples", - "Ġdis pl", - "Ġsee k", - "Ġsub d", - "ĠS P", - "ĠC P", - "Ġhon our", - "Ġthir ty", - "Ġsched ule", - "ang erous", - "Ġc inema", - "Ġspok en", - "iction ary", - "ĠH ob", - "Ġinc idents", - "at che", - "Ġ6 8", - "B B", - "Ġkey boards", - "Ġex pect", - "Ġven ue", - "Ġf ighter", - "Ġrecomm ended", - "ĠSh in", - "b es", - "Ġdraw ing", - "' ve", - "Ġpopul ations", - "ĠD ays", - "Ġval id", - "ĠB right", - "ĠP ic", - "ul ations", - "ĠN S", - "ĠDeath s", - "Ġconsider able", - "Ġ1 000", - "Ġtre ated", - "ij i", - "ĠBy z", - "Ġmeet ings", - "Ġrele ases", - "t r", - "Ġparticip ants", - "Ġspe ak", - "ĠAn im", - "f ire", - "ra v", - "ĠBuddh ist", - "ĠDel aware", - "ĠDen ver", - "end ar", - "Ġform ations", - "A s", - "ub le", - "o j", - "Ġmod e", - "ĠSpr ings", - "Ġunder ground", - "Ġ187 6", - "ĠCommun es", - "ĠMan uel", - "ĠBos nia", - "Ġlong est", - "ĠB uc", - "Ġcoach ing", - "ĠM S", - "ĠManag er", - "ĠKen ya", - "Ġp ric", - "ro ck", - "Ġ188 3", - "Ġat mosp", - "Ġwides pread", - "Ġ25 0", - "ops is", - "arc hers", - "Ġan ime", - "Ġsat ellite", - "Ġsomew hat", - "ĠHel en", - "ch ild", - "ĠEn cyclop", - "Ġplan et", - "c at", - "ĠDrag on", - "D C", - "Ġfrequ ency", - "ĠF un", - "Ġchang ing", - "ĠN HL", - "Ġcharacter istics", - "Ġbir d", - "Ġfl ed", - "M ay", - "ĠIn v", - "Ġsu fficient", - "ĠErn est", - "ĠSy ria", - "ke ep", - "Ġres olution", - "Ġsh ore", - "Ġfest ivals", - "ĠBob by", - "Ġchap el", - "ĠP oll", - "Ġrelationship s", - "198 1", - "am ics", - "ĠT on", - "id en", - "Ġmod er", - "ĠCo al", - "Ġten ure", - "Ġpremi ere", - "ĠS ak", - "Ġgro wn", - "st own", - "Ġoccas ionally", - "Ġearth qu", - "Ġbo ats", - "g el", - "ĠM end", - "Ġf urn", - "ĠEd wards", - "Ġbl ocks", - "Ġg ay", - "ĠAt hens", - "ĠIndones ian", - "ult ane", - "Ġrese archers", - "Ġph one", - "ac o", - "Ġar c", - "Ġdepart ure", - "Ġreported ly", - "Ġex pos", - "onym ous", - "ĠPer ry", - "ĠRog ers", - "Ġill ness", - "b in", - "Ġjob s", - "ĠWar ri", - "ĠFrid ay", - "Ġac know", - "gi ate", - "Ġf ile", - "Ġany thing", - "Ġ187 8", - "Ġch amber", - "ust ed", - "Ġsaf e", - "ter ior", - "ia st", - "Ġinaug ural", - "Ġsp oke", - "ĠAd vis", - "ĠHol land", - "Ġhigh light", - "Ġgovern ments", - ". '", - "Ġpat rol", - "b ow", - "ĠS or", - "Ġindic ates", - "Ġab road", - "ĠL ion", - "ĠMah ar", - "Ġprin ted", - "C an", - "h igh", - "b ird", - "ĠTe ch", - "ĠHispan ic", - "ĠH ope", - "ĠT oy", - "Ġviol in", - "ur ring", - "ĠD ennis", - "Ġremain der", - "Ġcontrovers ial", - "ĠI C", - "ĠNiger ian", - "ĠEconom y", - "ĠClin ton", - "ĠG ang", - "ĠS ay", - "Ġinters ection", - "ĠK rist", - "ĠN y", - "ancell or", - "op es", - "ĠPed ro", - "Ġsur f", - "ĠPers ian", - "duc er", - "Ġt act", - "Ġtem por", - "Ġh a", - "Ġere cted", - "Ġwh ilst", - "ip er", - "ĠN an", - "Ġbu y", - "ĠAbb ey", - "Ġab use", - "ĠJeff erson", - "b ody", - "l iga", - "p ol", - "Ġw orship", - "ĠAng lo", - "Ġemploy ment", - "Ġph r", - "Ġh orses", - "Ġh uge", - "or p", - "ĠCirc uit", - "ĠW alt", - "o ons", - "Ġeffect ively", - "Ġoper ational", - "Ġattra cted", - "ĠK ay", - "ach i", - "ĠSw im", - "ĠBris bane", - "Ġs leep", - "ĠS ource", - "Ġt ell", - "ĠSt uart", - "ĠShort ly", - "Ġvis ible", - "Ġstand ings", - "ryst al", - "ĠHe in", - "ĠK ab", - "Ġ7 8", - "ĠRal ph", - "ĠR if", - "B M", - "] ,", - "Ġdu o", - "ew here", - "Ġrem ember", - "Ġ187 9", - "Ġsh ift", - "m usic", - "ĠG et", - "ĠPak istani", - "ĠO il", - "et ers", - "Ġdiscover y", - "Ġprede cess", - "por ter", - "Ġtravel ed", - "Ġw rong", - "ĠFin ance", - "al am", - "Ġprocess ing", - "ĠCh air", - "l ington", - "ition al", - "g om", - "Ġthous and", - "ĠS et", - "oc c", - "ĠMuslim s", - "Ġmuseum s", - "ra ham", - "ĠP att", - "au ge", - "Ġscient ist", - "Ġinstrument al", - "ur rent", - "ach ment", - "197 8", - "h l", - "Ġcom ics", - "Ġte ach", - "Ġsp aces", - "b acks", - "Ġst ress", - "Ġcont ribution", - "Ġunderst and", - "ing ly", - "Ġrest oration", - "ĠStan ford", - "Ġclaim ing", - "Ġannoun ce", - "Ġrecover ed", - "ĠFin ancial", - "ĠMag ic", - "ĠGra ce", - "Ġdef ending", - "Ġevery thing", - "Ġtrad ing", - "Ġmid field", - "E T", - "n ed", - "Ġresc ue", - "W A", - "Ġ urg", - "ĠW u", - "Ġreg ime", - "Ġn urs", - "Ġrel ocated", - "197 7", - "if ted", - "ĠTh ir", - "Ġsent ence", - "ĠPr inc", - "197 5", - "Ġbroadcast ing", - "G erman", - "k ar", - "elf are", - "Ġoccas ions", - "ip per", - "u its", - "ĠCl imate", - "Ġhe aring", - "ĠIn stead", - "Ġte xts", - "Ġ187 5", - "ĠL ock", - "ĠEag les", - "ĠAir lines", - "Ġunder t", - "ann i", - "Ġcas ual", - "ĠD ata", - "Ġemer ged", - "Ġa u", - "ur st", - "Ġsup ports", - "ĠAd v", - "Ġr ub", - "ĠT ogether", - "ĠJ ar", - "Ġfriend ly", - "f amily", - "m ina", - "ĠS oon", - "ĠBer keley", - "ĠPeters burg", - "Ġtrib es", - "port ed", - "ĠPen insula", - "Ġre pr", - "ot he", - "Ġabs ence", - "ail ing", - "ĠUr ugu", - "Ġwhere as", - "Ġmarket ing", - "ĠMad ison", - "ol ition", - "Ġexperiment al", - "ĠDemocrat s", - "as ia", - "Ġb id", - "Ġin ner", - "Ġcommand ed", - "Ġdiam eter", - "Ġsumm ary", - "ĠG ate", - "ĠTh ai", - "Ġaim ed", - "ĠPolit icians", - "ĠEpis ode", - "Ġcompet itive", - "Ġlicens ed", - "Ġvers us", - "Ġbeh alf", - "ĠP od", - "ĠC ert", - "ĠI T", - "Ġmiss ed", - "Ġ7 4", - "ĠG overn", - "ĠO sc", - "Ġ187 7", - "o an", - "Ġoppon ents", - "Ġ7 7", - "ro se", - "id al", - "H A", - "app y", - "ĠB av", - "ed a", - "ĠS ang", - "ic us", - "ĠR ight", - "c aster", - "Ġle af", - "Ġcricket er", - "un es", - "Ġmix ing", - "Ġaffili ated", - "ĠOtt awa", - "Ġqual ify", - "che st", - "ĠI b", - "Ġtourn aments", - "Ġcol ony", - "ĠSched ule", - "Ġ187 1", - "rag ue", - "ag s", - "ĠD est", - "qu arter", - "over y", - "Ġsupport ers", - "Ġdefend ers", - "ag i", - "Ġphys ician", - "ĠLe eds", - "Ġrebu ilt", - "197 4", - "ah l", - "ĠN ear", - "Ġcre ative", - "s pec", - "Ġdrug s", - "ul um", - "ĠBut ler", - "Ġsuppl ies", - "B e", - "Ġkn ew", - "Ġpro port", - "re ck", - "gor ith", - "Ġbe et", - "Ġb acter", - "ĠP ul", - "N T", - "ĠV e", - "Ġs end", - "former ly", - "Ġmon itor", - "ĠC ant", - "ĠCh a", - "um i", - "Ġpred omin", - "as m", - "ĠH ond", - "ĠVi ew", - "ĠK in", - "Ġmass ive", - "Ġcred its", - "Ġt orn", - "Ġ186 7", - "ath on", - "Ġed itions", - "Ġperiod s", - "o ard", - "Ġgall ery", - "Ġwrit es", - "ĠS oph", - "Ġb ridges", - "Ġm ines", - "ĠArch bishop", - "Ġgrand father", - "ne e", - "cl osed", - "ĠChe ster", - "ĠB ald", - "n an", - "Ġdep ending", - "Ġcat alog", - "ĠP ut", - "ĠDe ep", - "Ġse es", - "Ġrat io", - "ĠProdu ctions", - "ĠGerman s", - "medi ate", - "Ġf il", - "up s", - "Ġsw itch", - "Ġv e", - "Ġp seud", - "Ġ187 2", - "anth rop", - "ĠMal ay", - "c ut", - "Ġcharacter ized", - "ig s", - "eral a", - "Ġimmedi ate", - "Ġsuffer ing", - "k an", - "el ia", - "th lete", - "Ġ1 10", - "if ies", - "ĠNe xt", - "Ġf ur", - "Ġ187 4", - "f oot", - "it ure", - "Ġs udden", - "ĠC row", - "ĠAl tern", - "Ġsil ent", - "Ġfac ing", - "ĠEx change", - "ĠMov ie", - "197 6", - "Ġdescrib e", - "ĠMur phy", - "os hi", - "il is", - "Ġtra il", - "Ġconcern ed", - "Ġdis band", - "ix on", - "Ġafter wards", - "ff bb", - "B O", - "ĠS uz", - "Ġturn ing", - "196 0", - "ĠS ierra", - "Ġtrans mission", - "ĠNe il", - "if fer", - "u ador", - "Ġdet ailed", - "ĠFlore nce", - "Ġc ul", - "ro ve", - "Ġcateg ories", - "hem atic", - "ĠChristian ity", - "s or", - "au kee", - "ĠN R", - "or ous", - "Ġorgan isations", - "ĠNew castle", - "Ġarrang ement", - "Ġn inth", - "Ġhundred s", - "c f", - "Ġadvert ising", - "is ch", - "ĠWell ington", - "Ġh olid", - "ĠO cc", - "Ġconcent ration", - "ĠComm ons", - "Ġlegisl ative", - "u able", - "Ġpublic ly", - "Ġran ks", - "our se", - "qu ir", - "Ġpr inc", - "Ġ186 8", - "Ġrapid ly", - "Ġcon certs", - "unc redited", - "er ted", - "ow ed", - "Ġex ists", - "t rans", - "Ġpercent age", - "Ġ7 3", - "az e", - "ric ted", - "Ġ8 8", - "on ies", - "ĠC arn", - "ĠR af", - "ĠChrist ians", - "the less", - "ĠS ox", - "ĠM ath", - "W h", - "Ġcomment ed", - "M y", - "ĠPar ks", - "re leased", - ".. ..", - "ele ct", - "ĠM ol", - "Ġview ers", - "ĠSus an", - "enc ing", - "ĠEd die", - "ĠLe o", - "ĠHamb urg", - "Ġst yles", - "ĠAb u", - "Ġrecomm end", - "Ġad ults", - "Ġsign ificance", - "Ġcon st", - "min ute", - "194 5", - "Ġw at", - "Ġsign s", - "ew ay", - "ĠFriend s", - "Ġth ing", - "ĠGil bert", - "ĠUnt il", - "ĠInd ependence", - "Ġcon vention", - "ĠN A", - "ia o", - "Ġd ual", - "ĠHeb rew", - "Ġsp ending", - "ring ton", - "Ġ8 2", - "Ġins urance", - "ĠSecond ary", - "Ġunus ual", - "p any", - "Ġencoura ged", - "yl er", - "ĠRay mond", - "Ġw ants", - "onom ous", - "ĠWil helm", - "I L", - "ber ry", - "ff ield", - "Ġgrad ually", - "Ġ7 1", - "Ġident ify", - "ĠSer ie", - "ĠAgric ulture", - "Ġatt ending", - "Ġexc av", - "Ġ186 6", - "ĠWrit ing", - "ĠN ott", - "Ġbeg un", - "Ġ6 9", - "Ġf antasy", - "Ġwithd rew", - "Ġgreat ly", - "ĠJ in", - "Ġfac ilit", - "Ġl ibr", - "Ġle agues", - "Ġw el", - "Ġopportun ities", - "ĠN athan", - "ent i", - "em ed", - "ab el", - "ic he", - "O n", - "Ġsee king", - "ro id", - "at ra", - "ath y", - "ĠK erala", - "ran o", - "Ġdefin ition", - "p in", - "Ġapart ment", - "Ġvot ers", - "Ġelect ron", - "ĠCru z", - "Ġpar ks", - "Ġw ard", - "ĠEv ents", - "Ġhel ic", - "Ġ9 9", - "ĠRev ival", - "Ġrhy thm", - "Ġpal ace", - "ĠRel ations", - "it ual", - "ĠC elt", - "Ġpat ient", - "Ġbenef its", - "Ġ18 40", - "ĠSom ers", - "ĠScient ific", - "av i", - "ĠT ennis", - "ĠTun is", - "Ġh al", - "if inals", - "Ġpar am", - "Ġdisestabl ishments", - "Ġ6 00", - "Ġg ymn", - "ri en", - "ĠD in", - "cc a", - "ĠPh D", - "197 2", - "ris on", - "Ġorgan ised", - "Ġg one", - "Ġcorpor ate", - "Ġmake up", - "h n", - "iven ess", - "ir k", - "l ik", - "Ġsculpt ure", - "ĠArn old", - "ĠDoc ument", - "ĠSt ef", - "Ġres emb", - "ĠR ah", - "ĠCong o", - "Ġ187 3", - "ĠL akes", - "ot ion", - "Ġcompon ent", - "197 3", - "Ġweap on", - "St ation", - "C ol", - "Ġfor wards", - "ĠLu ke", - "ab e", - "Ġ9 6", - "Ġrep air", - "ĠK le", - "Ġde struction", - "oss ible", - "Ġb iography", - "m aking", - "ĠL ear", - "Ġo cean", - "v et", - "Ġmat hematics", - "Ġcoal ition", - "ĠWars aw", - ". ),", - "w aukee", - "Ġass ets", - "Ġevery one", - "Ġp y", - "Ġcl an", - "Ġinteg rated", - "Ġamong st", - "c ase", - "Ġcivil ian", - "r ates", - "ĠM uch", - "Ġac oustic", - "Ġgu ilty", - "g ame", - "ĠA ctor", - "Ġsp in", - "Ġphotograph s", - "ĠFem ale", - "P l", - "ĠLeban on", - "ĠKaz akh", - "Ġposs ession", - "P R", - "Ġview ed", - "Ġce ased", - "ag ement", - "Ġc able", - "Ġnob le", - "Ġex ception", - "Ġpro hib", - "ĠLeon ard", - "Ġw et", - "Ġst able", - "l ift", - "isc opal", - "k w", - "Ġcl ar", - "over e", - "Th is", - "Ġbelong ed", - "arri er", - "Ġrun ners", - "u ber", - "ov an", - "rat ors", - "Ġpat ron", - "ĠM ut", - "ĠPaul o", - "arg ed", - "Ġsubsidi ary", - "Ġhonor ary", - "Ġra c", - "rehens ive", - "Ġh at", - "Ġfrequ ent", - "ch ing", - "Ġcon j", - "Ġpart ially", - "ĠEc uador", - "ub a", - "ĠA chie", - "Ġsw it", - "ĠT ed", - "ĠFried rich", - "ĠT ong", - "Ġb orders", - "ĠM ik", - "ĠReg ular", - "Ġleg s", - "Ġfarm ers", - "Ġsub stitute", - "ĠEconom ics", - "Ġe asy", - "as ant", - "ĠS uch", - "Ġext ent", - "ĠC ork", - "ĠAr c", - "ĠBaron et", - "form ing", - "Ġp ul", - "Ġb orough", - "ĠM ust", - "r s", - "ĠN ak", - "ĠD ol", - "and om", - "od ed", - "ap se", - "ĠConfeder ate", - "an ced", - "ĠE sc", - "ĠAnn ual", - "ĠTax onomy", - "Ġearn ing", - "Ġcustom ers", - "Ġuse ful", - "min ster", - "ĠF ig", - "Ġmov ies", - "Ġtrad ed", - "ĠH aving", - "Ġg ate", - "Ġinc umbent", - "Ġev ac", - "ĠSe an", - "Ġk it", - "r us", - "ĠLat ino", - "ĠFell ows", - "Ġphys ics", - "ĠArt icle", - "ĠGh ost", - "ĠAll ied", - "Ġimplement ed", - "Ġ ),", - "ĠH ale", - "Ġplay wright", - "Ġsust ain", - "Ġphen omen", - "ĠR idge", - "Ġmarg in", - "b en", - "i ago", - "Ġtr uth", - "ok ie", - "ĠBr uns", - "Ġdeploy ed", - "Ġterm inal", - "Ġrel ation", - "Ġpe oples", - "Ġelect rical", - "Ġw edding", - "Ġon going", - "Ġsim ultane", - "it ars", - "ĠDomin ican", - "Ġsurv iv", - "ĠS ic", - "Ġmurder ed", - "B E", - "i ology", - "ĠProte ction", - "h our", - "iv ic", - "Ġto mb", - "Ġprov inces", - "ĠChap el", - "ĠL ig", - "ĠTeam s", - "Ġv olleyball", - "ĠWat son", - "ĠK id", - "E l", - "str ong", - "ĠB ent", - "Ġpick ed", - "ram s", - "ĠProv incial", - "Ġsec ured", - "Ġdismiss ed", - "Ġconserv ative", - "Ġ8 1", - "Ġsong writer", - "Ġoccas ion", - "Ġspons ored", - "ov ich", - "art a", - "ĠG az", - "ĠSy rian", - "ect or", - "Ġt ort", - "Ġc emetery", - "ĠPr ison", - "Ġapparent ly", - "Ġto ured", - "ort on", - "Ġport rait", - "ven ge", - "ĠProtest ant", - "ĠM ul", - "er i", - "ĠN C", - "ĠMusic ians", - "ull ivan", - "ĠIm m", - "ĠB ond", - "ĠPhill ips", - "Ġel dest", - "ĠJ ur", - "r n", - "h aus", - "ĠInit ially", - "ĠVen ice", - "ĠLe ader", - "Ġstrugg le", - "Ġm atters", - "ul us", - "a a", - "ĠMo z", - "ry s", - "ĠAddition al", - "ĠSing le", - "ĠS ony", - "Ġweek end", - "J an", - "al g", - "ĠCo ach", - "Ġprincip les", - "ĠStud ents", - "Ġcomplet ing", - "Ġb attalion", - "Ġjun ction", - "ĠL amb", - "o ffic", - "ĠR ange", - "ĠGuard ian", - "Ġsubstant ial", - "ĠForm ation", - "Ġbe autiful", - "te am", - "Ġdr ummer", - "Ġas c", - "ĠS yl", - "ĠHar vey", - "ĠStud ent", - "Ġmin eral", - "ac a", - "ĠWall ace", - "ov sky", - "Ġtre nd", - "Ġengine ers", - "ap ped", - "Ġc argo", - "d al", - "iss a", - "ĠE C", - "Ġdraf ted", - "Ġoper ator", - "ĠLeg end", - "Ġp ure", - "Ġiniti ative", - "ĠO g", - "Ġsym pt", - "ins ky", - "ĠCom mercial", - "u ations", - "Ġh ope", - "Ġg rey", - "Ġread y", - "und a", - "ĠInt elligence", - "er as", - "if ier", - "ĠCard inals", - "Ġdiscuss ed", - "ĠW ells", - "ĠD rama", - "ĠFilip ino", - "Ġphot o", - "ff ee", - "196 8", - "reprene ur", - "Ġalcoh ol", - "Ġmanufact urer", - "Ġim perial", - "ĠK ash", - "Ġcho ose", - "Ġmount ed", - "ĠSud an", - "Ġtra p", - "w ald", - "Ġs essions", - "Ġb io", - "Ġ9 7", - "em a", - "ĠB ach", - "Ġgu ide", - "Ġb ishops", - "ae us", - "om ic", - "Ġcl othing", - "Ġmov es", - "Ġexpl o", - "Ġm o", - "ĠTom my", - "Ġacc ord", - "ĠRoc he", - "O ct", - "ĠF ighter", - "Ġex cess", - "Ġ186 9", - "ĠSh ir", - "Ġren ov", - "E d", - "ĠOut standing", - "ĠB eth", - "Ġc ash", - "ol en", - "3 00", - "hemat ical", - "Ġy ield", - "vious ly", - "Ġ8 00", - "ĠHug hes", - "ĠC red", - "Ġtal ent", - "f urt", - "ĠJ ak", - "Ġreve als", - "Ġcon stitution", - "Ġb anned", - "Ġfund ed", - "197 1", - "ĠS ul", - "Ġpass age", - "Ġrespond ed", - "ĠP os", - "ĠL or", - "s uch", - "ĠCon st", - "Ġtri als", - "ĠNash ville", - "u j", - "Ġcommun ications", - "Ġenjoy ed", - "ĠDiv isin", - "Ġind ex", - "ĠHe at", - "Ġestablish ing", - "M arch", - "im o", - "eral ly", - "ro ke", - "Ġvac c", - "Ġdisplay ed", - "ĠK il", - "og an", - "ĠTre as", - "Ġdeb t", - "am er", - "ĠTas man", - "ĠShang hai", - "Ġplay off", - "I R", - "Ġdisc ontin", - "ĠC ov", - "Ġvarian t", - "ĠNe igh", - "Ġfun eral", - "ript ions", - "au er", - "ĠCh an", - "n ew", - "Ġres ort", - "Ġpart ly", - "Ġre venue", - "ĠCompet ition", - "p m", - "Ġp ale", - "ĠM old", - "gom ery", - "ĠColumb us", - "ĠRh ode", - "z ig", - "ific ial", - "Ġint ellectual", - "atche wan", - "sequ ently", - "Ġpartn ers", - "Ġas ks", - "ĠG as", - "ĠIs s", - "Ġdise ases", - "ĠH az", - "act s", - "Ġthr iller", - "Ġregul ations", - "Ġp ip", - "Ġex posed", - "Ġcon greg", - "ĠO ber", - "Ġout break", - "ĠMar qu", - "Ġfal se", - "ĠId aho", - "Ġst rict", - "Ġex ceed", - "ĠR aw", - "ort ion", - "196 9", - "Ġmerg er", - "ĠL ac", - "ĠGreg ory", - "ĠSc reen", - "Ġstep s", - "Ġrem ove", - "Ġout er", - "ĠChap ter", - "ĠGabri el", - "Ġl ingu", - "Ġal gorith", - "Ġposs ibility", - "Ġass ists", - "sc ale", - "ĠDr ive", - "Ġchar ity", - "m ill", - "ĠR us", - "Ġesc ort", - "ĠFour th", - "ĠB ear", - "em e", - "ĠJac ques", - "Ġany one", - "Ġfocus es", - "Ġadv ice", - "ĠJo an", - "ĠAb raham", - "I M", - "N ov", - "Ġ7 9", - "ĠHig her", - "Ġthr one", - "ic ity", - "Ġv ul", - "ĠVill a", - "Ġlab our", - "Ġapp ly", - "ed eration", - "Ġdebut s", - "Ġoppon ent", - "ĠD im", - "Ġbatter y", - "ĠF ictional", - "ĠFer r", - "Ġsur ve", - "ĠRes erv", - "Ġtun nel", - "ĠEle ctions", - "Ġdr iven", - "Ġjurisd iction", - "Ġl ose", - "Ġdisp ute", - "ĠWork ers", - "E x", - "lov ak", - "ĠH at", - "Ġcontin u", - "ĠShe ffield", - "Ġch oir", - "ĠMer it", - "K O", - "ĠS ut", - "ĠRam s", - "ent le", - "ĠMicro soft", - "Ġ8 7", - "in um", - "ĠLeg ion", - "Ġm os", - "Ġext reme", - "Ġ ib", - "Ġ9 8", - "ĠC ec", - "ĠIn g", - "ish a", - "m other", - "ai ro", - "ĠThrough out", - "ĠOr d", - "Ġliber al", - "ĠN g", - "ĠW as", - "Ġfall ing", - "Ġr ated", - "Ġliqu id", - "ro st", - "ĠP S", - "Ġcap s", - "Ġup grad", - "Ġcomp iled", - "ĠBruns wick", - "ĠMig uel", - "ĠY ellow", - "ĠLa ura", - "Ġdomin ated", - "Ġimm igrants", - "ah an", - "Ġrese ar", - "ĠSask atchewan", - "Ġscholar ship", - "up t", - "Ġass emb", - "ĠJ oint", - "Ġsol ar", - "ĠPlay Station", - "ĠArab ia", - "ir us", - "Ġ184 8", - "Ġtw in", - "an ion", - "ĠE ight", - "ick ing", - "ĠSeb ast", - "ad r", - "ĠW ag", - "Ġminor ity", - "ck er", - "Ġwear ing", - "Ġrecip ient", - "Ġexclus ively", - "Ġkeep ing", - "ip ped", - "ĠM ills", - "Ġall iance", - "ĠS ett", - "ĠSt ru", - "Ġsett lers", - "lim inary", - "Ġconne cting", - "O T", - "Ġdes ire", - "it ol", - "Ġgen etic", - "Ġcomp ens", - "Ġnorm ally", - "ut a", - "ĠStud y", - "Ġw ire", - "ĠP rice", - "ĠMont gomery", - "Ġdecision s", - "Ġassist ed", - "Ġdisc rim", - "ĠAh med", - "Ġj ury", - "ers hire", - "Ġcon stitutional", - "ĠNap ole", - "Ġre duction", - "A nd", - "ĠDev on", - "ĠMil waukee", - "ĠTib et", - "Ġ8 4", - "ac ional", - "ĠBab y", - "Ġ185 9", - "Ġunder w", - "H P", - "Ġcond em", - "akes pe", - "Ġro ots", - "Ġt anks", - "ĠAthlet es", - "ĠOb serv", - "ĠPoet ry", - "ĠCar r", - "E L", - "Ġst em", - "Ġprodu ces", - "ĠFran co", - "ĠEs sex", - "Ġd iver", - "m id", - "iz z", - "Ġloc ally", - "C om", - "ĠE ff", - "ĠR uth", - "Ġsequ el", - "Ġdec ides", - "Ġspe aking", - "ĠVlad imir", - "Ġrequ ested", - "uz z", - "ĠScot ia", - "our g", - "19 50", - "ĠC C", - "agon ist", - "cent ral", - "Ġattra ctions", - "ĠPer th", - "h aw", - "ĠMar a", - "ĠTrans l", - "est y", - "ĠS T", - "ĠB ag", - "d ire", - "Ġpattern s", - "ĠM idd", - "Ġmid fielder", - "ĠH ab", - "ĠD anny", - "Ġconstitu encies", - "Ġ9 2", - "Ġtrad itions", - "Ġto urs", - "ĠEngine ers", - "ĠF lying", - "ok u", - "ĠA x", - "Ġgener ated", - "Ġclin ical", - "ĠSw an", - "cy cle", - "Ġro ster", - "Ġcircum stances", - "ĠJ en", - "ab ric", - "Ġsub mitted", - "Ġgrow s", - "Ġem peror", - "Ġcompet itors", - "ie u", - "ĠPal mer", - "Ġne arest", - "Ġess ential", - "p hew", - "Ġclos ing", - "t ers", - "ĠSc ar", - "Ġt ons", - "' ll", - "u ly", - "Ġimplement ation", - "f am", - "ĠMaur ice", - "er r", - "eth yl", - "Ġ185 7", - "d ef", - "ĠGi ov", - "Ġm al", - "ĠRh odes", - "Ġb ay", - "Ġcon clusion", - "Ġunc ertain", - "oc ene", - "Ġne ither", - "Ġf old", - "ĠAir craft", - "est one", - "end ers", - "ĠCy pr", - "ĠF iction", - "Ġpurs ue", - "Ġst ab", - "Ġconne ct", - "osp el", - "Ġcont roll", - "ĠT all", - "Ġr ising", - "ĠBen ed", - "p y", - "Ġbe ating", - "ĠV oice", - "ĠCh urches", - "\" :", - "ĠA j", - "Ġlim its", - "ĠL ok", - "ĠGro ve", - "ĠMar io", - "Ġ8 6", - "ĠP ath", - "Ġb in", - "bor g", - "A d", - "Ġprop ag", - "CA R", - "Ġdivers e", - "ĠP rague", - "Ġs isters", - "ĠEx am", - "Ġen forcement", - "ĠYugoslav ia", - "ĠRena issance", - "Ġbound aries", - "Ġv ast", - "ab i", - "U K", - "Ġdeliver y", - "r ating", - "l ist", - "Ġf it", - "Ġmon astery", - "Ġterm inus", - "om i", - "Ġlow est", - "Ġunsuccess ful", - "ĠSomers et", - "e ing", - "Ġbre aking", - "Ġ9 3", - "a ude", - "ra wn", - "Ġelectric ity", - "ĠDe uts", - "Ġexhib itions", - "ĠLeg al", - "ĠF ly", - "ĠK i", - "f irst", - "b one", - "Ġgro ss", - "Ġappropri ate", - "Ġacqu isition", - "ĠG amb", - "as er", - "Ġcross ed", - "he nt", - "Ġst yl", - "Ġvict im", - "Ġb right", - "Ġiniti ated", - "A t", - "uss ia", - "Ġbal ance", - "ro ph", - "Ġto uring", - "Ġclos er", - "ĠE ld", - "ĠUn incorporated", - "ĠC inema", - "Ġmidfield ers", - "Ġs ailed", - "ĠT able", - "ĠD aw", - "Ġacknow led", - "qu er", - "n amese", - "att a", - "ĠT ir", - "Ġtop ics", - "ĠMe chan", - "l ia", - "Ġint ention", - "Ġmanag ing", - "av or", - "ĠRevolution ary", - "Ġsh ock", - "Ġconne ctions", - "ĠFran z", - "cl os", - "ĠW ald", - "Ġs ight", - "Ġcon vert", - "Ġmat hematic", - "Ġprodu ctions", - "ĠV ent", - "end a", - "Ġe at", - "ĠAr med", - "196 7", - "av ia", - "ĠNew ton", - "l ain", - "Ġnovel ist", - "ĠJ ung", - "ĠSh akespe", - "ĠAbd ul", - "Ġne ck", - "Ġmechan ical", - "ĠKr ish", - "Ġto ol", - "ĠC u", - "B est", - "ĠRon ald", - "ill es", - "ĠFurther more", - "Ġr is", - "Ġhe ir", - "pl ed", - "' d", - "Ġcou p", - "ĠM ang", - "Ġrespect ive", - "h in", - "Ġm asc", - "Ġnar rative", - "Ġcontin uous", - "ap est", - "Un ited", - "l u", - "Ġp or", - "et o", - "ro e", - "tra cks", - "Ġ18 30", - "ĠMc M", - "Ġ8 9", - "Ġre organ", - "Ġdiscuss ion", - "Ġreb ell", - "ĠCub an", - "ĠOsc ar", - "c os", - "ij a", - "ĠOt to", - "ĠCom merce", - "ĠClar ke", - "ĠGu ild", - "ĠPalest ine", - "ĠIndian apolis", - "ĠNott ingham", - "ĠV ern", - "Ġconvers ion", - "ath i", - "ic as", - "ĠIn stitut", - "ĠDel ta", - "Ġman if", - "U C", - "el in", - "ĠCamer on", - "ĠA ires", - "Ġparticip ating", - "Ġpit cher", - "ĠR aid", - "c ore", - "Ġre ct", - "Ġstrateg ic", - "v ar", - "Ġtreat y", - "we b", - "ans k", - "Ġnot ice", - "Ġcondu ctor", - "Ġmar ry", - "ĠA aron", - "ĠW ed", - "Ġnegoti ations", - "193 9", - "Ġsc en", - "e o", - "Ġimp ress", - "s ur", - "ar ation", - "ĠArch ives", - "Ġhous ed", - "ĠSp encer", - "ĠUg anda", - "ri ft", - "Ġsee ing", - "Ġex ecution", - "Ġrem ix", - "ap pro", - "Eng lish", - "Ġresign ation", - "Ġ8 3", - "sec ond", - "ĠH ous", - "ĠMot ors", - "Ġstreng then", - "ĠVal ent", - "eng u", - "ĠF at", - "ĠM orning", - "ĠP and", - "Ġse vent", - "Ġorig ins", - "Ġmar ks", - "Ġinvol ves", - "Ġsubmar ine", - "Ġtr uck", - "ad ier", - "ĠBl ock", - "ĠChile an", - "ĠG T", - "Ġhe ar", - "Ġcamp s", - "ĠFace book", - "ĠSt ill", - "Ġco operation", - "Ġs ang", - "Ġtim ber", - "Ġf itted", - "ĠIsa ac", - "Ġbas es", - "Ġphot ographer", - "ĠPhil osophy", - "Ġisol ated", - "ĠSte in", - "Ġbe auty", - "ĠB od", - "ĠStock holm", - "Ġillust rated", - "Ġt urb", - "Ġconcern ing", - "d isc", - "Ġel se", - "ĠMethod ist", - "Ġal ter", - "R T", - "ĠB ak", - "ath a", - "} }", - "Ġcampaign s", - "ĠByz antine", - "av ier", - "ĠDist inguished", - "Ġsuper ior", - "writ ing", - "Ġg ard", - "Ġa qu", - "Ġr ide", - "t ar", - "Ġc attle", - "Ġexhib ited", - "is che", - "ĠJust in", - "Ġsele ct", - "ĠBr as", - "Ġman age", - "y gen", - "Ġout standing", - "Ġtrib ute", - "ĠArch ive", - "Ġg al", - "Ġst im", - "ĠOak land", - "J ohn", - "u ros", - "ĠHind i", - "ze gov", - "alle st", - "ĠMach ine", - "Ġo verseas", - "v ol", - "ĠPrinc eton", - "Ġprinc iple", - "ne x", - "on ly", - "om o", - "Ġcol ors", - "Ġphot os", - "Ġcontribut ing", - "ĠA w", - "Ġag ree", - "Ġsl ave", - "Ġmanufact urers", - "Ġ10 1", - "Ġcon vin", - "ĠC F", - "ĠH ir", - "Ġviol ent", - "E N", - "ĠThere fore", - "h istor", - "ator ial", - "h al", - "Ġexerc ise", - "Ġmechan ism", - "Ġh orn", - "Ġs alt", - "Ġtrav elled", - "ol and", - "ĠD ame", - "Ġeconom ics", - "ĠLe ft", - "ĠLiber ty", - "Ġess ay", - "Ġprote ins", - "Ġmanufact ured", - "Ġr itual", - "ĠAc cess", - "ĠNorth west", - "Ġindu cted", - "os lovak", - "Ġsurv ive", - "Ġdescrib ing", - "ig ious", - "na issance", - "Ġdisc ip", - "Ġ ur", - "ĠW here", - "Ġorig inated", - "aur us", - "Ġj u", - "is an", - "196 5", - "r ors", - "ĠB ears", - "ĠP resent", - "Ġfilm ing", - "Ġinternational ly", - "Ġm or", - "ĠRe yn", - "song writer", - "Ġper mission", - "ĠDur ham", - "r ont", - "ant i", - "et ary", - "Ġpromot ing", - "ĠSh ips", - "Ġdef ended", - "ar u", - "Ġkid n", - "F or", - "ĠRo om", - "f ilm", - "Ġrad ical", - "Ġpet ition", - "Ġa thlete", - "Ġsuit able", - "col span", - "V P", - "ĠC hess", - "Ġpict ures", - "ĠF ra", - "ang le", - "ĠR ut", - "uss els", - "ĠShakespe are", - "Ġg iant", - "ĠLi u", - "ĠS ter", - "it ic", - "O r", - "rie ved", - "c or", - "H z", - "ĠAmaz on", - "Ġun incorporated", - "t ains", - "Ġinterview s", - "Ġf at", - "Ġvir us", - "Ġincre ases", - "fr ont", - "c ott", - "ĠL ak", - "Ġwealth y", - "Ġrep orter", - "Ġdiplom atic", - "art et", - "ĠJohann es", - "Ġm aps", - "Ġminist ry", - "Ġrestaur ants", - "m ir", - "ili ar", - "Ġan alog", - "writ ten", - "umber land", - "te g", - "Ġ185 4", - "Ġegg s", - "Ġinflu ences", - "b oys", - "ĠRe ed", - "ĠBenn ett", - "ĠJama ica", - "or ious", - "ĠK ill", - "Ġor n", - "form s", - "ĠE SP", - "Ġt ies", - "ĠN ame", - "4 00", - "Ġlat est", - "cul es", - "ĠBu enos", - "Ġfight ers", - "Ġdo ors", - "Ġdist ribut", - "Ġconf ig", - "ĠLe ic", - "il o", - "Ġm it", - "Ġre aches", - "Ġm amm", - "ic ia", - "ro y", - "ĠCh i", - "Ġinn ov", - "20 23", - "Ġcl ock", - "Ġhel ps", - "Ġthe rm", - "ĠK ate", - "ĠL ess", - "l ag", - "ĠN ancy", - "C o", - "Ġreleg ated", - "pt y", - "Ġchalleng es", - "ĠCab inet", - "ĠGe off", - "zegov ina", - "ir ms", - "ĠK arn", - "ĠK as", - "ĠF olk", - "Ġne uro", - "f a", - "ph is", - "ĠL ett", - "ĠFor um", - "ĠF oster", - "enh agen", - "ĠB ros", - "ĠMan it", - "Ġin put", - "Ġge omet", - "Ġmet ropolitan", - "ĠCypr us", - "Ġ9 1", - "Ġpers u", - "ens on", - "p ubl", - "Ġexp and", - "Ġcollabor ated", - "ang ular", - "O L", - "Ġinc om", - "ĠGrand e", - "Ġdr um", - "Ġfl ights", - "Ġd angerous", - "Ġprepar ation", - "ĠS old", - "ĠPan ama", - "iv o", - "vel t", - "ĠMont ene", - "ateg ory", - "Ġr andom", - "ph ib", - "Ġfif teen", - "Ġrecogn ised", - "196 6", - "ĠViet namese", - "ĠK ol", - "ĠGoth ic", - "ĠSus sex", - "ĠRe ading", - "Ġbi ological", - "oy age", - "Ġhunt ing", - "Ġsy mp", - "ĠK or", - "Ġc ouncill", - "ĠC raw", - "ĠEncyclop edia", - "ĠConc ert", - "ĠLiter ary", - "ou ch", - "Ġland ed", - "ĠTod d", - "ĠI sh", - "Ġathlet ics", - "as hes", - "196 4", - "J une", - "Ġhy per", - "Ġdoes n", - "Ġsim pl", - "Ġdomin ant", - "ĠRelig ious", - "Ġadvent ure", - "Ġfor g", - "ĠB rid", - "ett i", - "Ġapp re", - "ok o", - "Ġgu ar", - "Ġsm ooth", - "by ter", - "Ġb er", - "ĠDe b", - "Ġcle arly", - "Ġfin ance", - "ed ed", - "Ġtemper atures", - "Ġ185 5", - "ul ating", - "ĠO wn", - "ic ing", - "ĠV ar", - "ĠSh oot", - "ĠTr in", - "Ġbut ter", - "A pril", - "A ugust", - "not es", - "ie v", - "ĠC N", - "Ġdep ict", - "ĠM obile", - "ĠSalv ador", - "ĠLuc as", - "Ġ185 8", - "ĠG y", - "Ġsc ores", - "ĠP ent", - "E M", - "Ġreport ing", - "ĠPet e", - "ĠEm ir", - "ur as", - "um er", - "ĠArt icles", - "ĠCzech oslovak", - "Ġchar ter", - "Ġf asc", - "ĠB ased", - "Ġdesign ation", - "ĠG mina", - "Ġm arch", - "Ġ18 00", - "ĠEd itor", - "Ġthere after", - "ĠPro per", - "ĠAm bassador", - "ĠAlban ian", - "Ġ rib", - "Ġw aste", - "ats u", - "Ġdepart ed", - "ĠD y", - "Ġfem in", - "ĠC itations", - "ĠZh ang", - "Ġbelie ves", - "ib ilities", - "Le ague", - "Ġs ample", - "ĠP on", - "ĠGram my", - "es a", - "ran k", - "Ġsumm it", - "Ġcompos itions", - "Ġrest ricted", - "l en", - "re f", - "Ġinte gr", - "ĠD ale", - "ric ks", - "re ction", - "art s", - "ĠAng els", - "Ġa viation", - "Ġaccess ible", - "it us", - "ĠHar bor", - "ĠD as", - "ĠM ull", - "ĠM umb", - "Ġs ket", - "Ġvis its", - "ĠE t", - "ĠR i", - "Ġdepart ments", - "Ġ9 4", - "on na", - "ĠG ur", - "row s", - "ock et", - "Ġlegisl ature", - "ĠJun ction", - "Ġearthqu ake", - "ĠP ract", - "Ġvent ure", - "ĠKenn eth", - "ĠC itiz", - "be k", - "ĠPopul ar", - "Ġtr ump", - "z on", - "J apan", - "ific ate", - "ĠAn y", - "Ġdel ayed", - "Ġbon us", - "c in", - "ĠZ imb", - "Ġdep icted", - "ĠIraq i", - "Ġfast est", - "ĠMc D", - "f ree", - "ĠS uff", - "Ġbrig ade", - "Ġpian ist", - "Ġpre t", - "D R", - "d ess", - "ra h", - "ad ian", - "ĠC yr", - "Ġn inet", - "ĠG ren", - "Ġsympt oms", - "Ġmach ines", - "Ġt el", - "Ġb aby", - "al m", - "t wo", - "Ġel igible", - "ĠF ul", - "ĠN as", - "ĠSant iago", - "ĠK w", - "Ġph arm", - "l og", - "ĠNov els", - "Ġac res", - "uch i", - "if ts", - "Ġclos ure", - "Ġacadem y", - "Ġsl aves", - "ĠEag le", - "ĠCo x", - "19 40", - "B L", - "aj i", - "ill on", - "ĠDec ision", - "Oct ober", - "Ġsound s", - "ĠHer zegovina", - "Ġf ee", - "g ments", - "Ġra bb", - "Ġlay er", - "ĠP om", - "cf c", - "Ġdemonst rated", - "om orph", - "ĠMe g", - "Ġg ram", - "ĠFinal ly", - "ĠAm ateur", - "Ġpre st", - "ĠE k", - "Ġnovel ists", - "ĠM C", - "Ġch ron", - "Ġinsp iration", - "ĠRail ways", - "Ġne phew", - "apt ers", - "Ġleg acy", - "ĠL isa", - "Ġ els", - "m n", - "ĠX X", - "Ġn ut", - "Ġtrans m", - "u ke", - "ploy ment", - "Ġt ested", - "Ġdev oted", - "ĠL az", - "Ġpre ferred", - "Ġc avalry", - "Ġf ill", - "Ġgu ests", - "ĠEle ctoral", - "ĠArmen ia", - "Ġam bassador", - "ĠWild life", - "over ed", - "ĠK re", - "ok es", - "ĠOver view", - "ash ire", - "Ġcorrespond ing", - "Ġgu itars", - "ĠS aw", - "Ġcon stitut", - "ĠA ch", - "Ġarrang ements", - "ĠEd mund", - "ĠGu ards", - "Ġcert ified", - "Ġdis ch", - "Ġbl og", - "Ġ184 9", - "on ne", - "Ġp ointed", - "ĠTh ose", - "ĠB anks", - "Ġline ar", - "b ing", - "anim ous", - "Ġburn ed", - "b ie", - "e an", - "ĠM ade", - "ab we", - "Ġattempt ing", - "Ġus age", - "Ġsub sc", - "ĠD j", - "em ies", - "Ġupd ated", - "ĠM n", - "ĠR overs", - "Ġshop ping", - "mar ks", - "ĠOw en", - "ĠRo ose", - "ren cy", - "Ġaltern ate", - "ĠP ick", - "Ġco oper", - "Ġstruct ural", - "Ġide al", - "Ġen h", - "b ank", - "h all", - "ag ers", - "at ics", - "ĠB il", - "ĠTw enty", - "Ġhor iz", - "ric a", - "count ry", - "Ġro cks", - "Ġ185 6", - "ĠMarc us", - "or ge", - "ĠP ep", - "19 18", - "Ġs aved", - "ens en", - "ĠCom edy", - "mon th", - "Ġav o", - "Ġ185 2", - "Ġcon fess", - "Ġr id", - "ĠD uc", - "Ġlist ings", - "ĠI P", - "ĠP iet", - "Ġext end", - "Ġr iding", - "Ġvert ical", - "ĠMan ila", - "ĠRelig ion", - "ĠM TV", - "ĠAn a", - "Ġinher ited", - "Ġwid er", - "b as", - "i ens", - "ĠGl ou", - "Ġde emed", - "ĠLithuan ia", - "ĠMar x", - "Ġgard ens", - "rup ted", - "Ġanim ation", - "ĠSh op", - "ĠInd igenous", - "ro d", - "Ġs iege", - "uck er", - "Ġwid th", - "en er", - "ind a", - "O ne", - "ĠC rist", - "az i", - "ĠS of", - "ĠV il", - "ĠG ael", - "c ano", - "Ġtor ped", - "ĠB un", - "Ġrev ised", - "Ġappro ached", - "U P", - "Ġqual ification", - "s he", - "Ġrele vant", - "Ġindust ries", - "Ġres umed", - "ĠS ene", - "ĠEston ian", - "ĠBro oks", - "Ġen rolled", - "am ation", - "ĠTe xt", - "ĠH ass", - "ro oms", - "ĠWinn er", - "T e", - "Ġdep ression", - "Ġpers pective", - "ĠM am", - "Ġrec alled", - "Ġt um", - "ĠN ine", - "ĠRod rig", - "ĠP or", - "z ing", - "Ġcan al", - "Ġpract ical", - "Ġrecover y", - "Ġab olished", - "ĠA ur", - "p ost", - "ĠLe x", - "ĠOb ama", - "ut ed", - "od ia", - "ĠEx hibition", - "ĠCol in", - "intend o", - "Ġbrand s", - "ĠMoroc co", - "ĠIn spe", - "Ġchem istry", - "ĠCirc le", - "ĠLux emb", - "Ġrare ly", - "ers e", - "Ġto t", - "Ġneut ral", - "Ġels ewhere", - "ĠMc L", - "arch y", - "ĠLanc ashire", - "ĠVol unte", - "Ġpric es", - "il ian", - "ĠB elf", - "f our", - "Ġcons olid", - "Ġinh ab", - "ish i", - "O P", - "bor o", - "ĠSe x", - "Se ptember", - "at on", - "Ġpower ed", - "ĠF ras", - "De cember", - "ĠI F", - "Ġbirth day", - "st ed", - "et e", - "Ġfarm ing", - "ĠM ine", - "ĠL A", - "Ġg auge", - "Ġpro secut", - "is p", - "ĠInd ies", - "ucle ar", - "cess ion", - "ĠParalymp ics", - "ar r", - "Ġan nex", - "ll a", - "el o", - "Ġcr uc", - "ot ing", - "ĠT ampa", - "Ġc yl", - "ĠDav ies", - "Ġtempor arily", - "ri ke", - "ĠS weet", - "tern oon", - "ĠSt ories", - "ĠU tt", - "ĠFern ando", - "Ġt ight", - "ĠK em", - "Ġin formed", - "ĠD ob", - "ĠEx ped", - "ĠX V", - "Ġman s", - "Ġrel ating", - "Ġremov al", - "Ġwind s", - "Ġdecor ated", - "ĠClass ical", - "Ġform ula", - "Ġdist ingu", - "Ġinstall ation", - "J uly", - "R I", - "Ġattend ance", - "el ing", - "ĠBird s", - "Ġo l", - "Ġb ath", - "Ġt enth", - "Ġl akes", - "ic z", - "Ġcl ergy", - "Ġcirc le", - "it ary", - "Ġbelong s", - "ĠL ot", - "Ġthe rapy", - "th rough", - "Ġtradition ally", - "ose xual", - "Ġd atabase", - "ent o", - "Ġdisband ed", - "ĠT yp", - "lev ard", - "ĠCorn wall", - "Ġh ospitals", - "ĠWest minster", - "Ġspe aker", - "Ġspecial ized", - "Ġanth rop", - "om ber", - "zh ou", - "ĠD ictionary", - "ĠB M", - "ĠMumb ai", - "Ġin ternet", - "ĠCop a", - "ĠTot al", - "ĠA FC", - "ĠColon ial", - "ĠCont est", - "ĠSl av", - "ĠHar per", - "Ġpredecess or", - "g ra", - "ent ry", - "ĠMond ay", - "Ġb achelor", - "we ek", - "s i", - "Ġrestrict ions", - "ĠCop enhagen", - "Ġres id", - "ĠJ ava", - "on so", - "ĠS elf", - "Ġarchae ological", - "ar ians", - "isc her", - "Ġb ell", - "ĠRoose velt", - "oy e", - "ĠTra vel", - "ĠRe con", - "Ġconvent ional", - "Ġr um", - "Ġele mentary", - "ĠSch w", - "Ġhy brid", - "Ġcolumn s", - "r ish", - "ĠGard ens", - "Ġcoin s", - "ĠLou ise", - "Ġsur pr", - "ĠZimb abwe", - "Ġg ran", - "oy a", - "ili ary", - "Ġinterpret ation", - "Ġdec ide", - "Ġpart ial", - "re ts", - "st and", - "ur ated", - "af e", - "ap ur", - "Ġarr iving", - "Ġarg ument", - "Ġextens ively", - "ĠJul ian", - "ĠLabor atory", - "Ġinter cept", - "Ġinter pre", - "om ed", - "Ġbas in", - "ĠAp pro", - "Ġext inct", - "ĠG erald", - "rap ped", - "r ise", - "Ġc a", - "Ġus ual", - "ĠN intendo", - "A ust", - "Ġpione er", - "Ġident ical", - "196 2", - "oir s", - "ĠRe ich", - "Ġco at", - "Ġabs ol", - "ĠMar itime", - "ĠM use", - "ĠGiov anni", - "ĠAll an", - "Ġann ounc", - "Ġexpos ure", - "Ġp airs", - "m akers", - "nd ez", - "Ġn am", - "Ġrul er", - "ĠBl ake", - "z ed", - "ĠFif th", - "ĠInter view", - "H C", - "Ġ 00", - "at em", - "iff s", - "Ġcarri er", - "Ġrang ing", - "B N", - "ĠAp oll", - "ad ows", - "Ġrem ote", - "Ġs ke", - "ll er", - "Ġwrit ings", - "Ġt ens", - "im ates", - "Ġlook ed", - "h im", - "Ġpo le", - "ĠInt ro", - "ĠCan ter", - "l isted", - "Ġend ors", - "ĠEp iscopal", - "in f", - "ĠNik ol", - "ac co", - "Ġart work", - "Ġrev ol", - "ĠM atch", - "bro ok", - "196 3", - "igr ant", - "ĠG P", - "Ġcomm enced", - "Ġrece ives", - "ur se", - "ĠMalays ian", - "ĠPalest inian", - "ĠT ree", - "Ġv el", - "ĠA my", - "Ġdiss olved", - "Ġhousehold er", - "ĠRes ources", - "ĠPre m", - "Ġtribut ary", - "ĠRec ording", - "Ġ185 1", - "am y", - "Ġbank rupt", - "M usic", - "Ġwalk ing", - "on ial", - "ĠAh mad", - "Ġvocal ist", - "S U", - "Ġal ive", - "ĠQu est", - "Ġmin i", - "ĠH erald", - "Ġl ift", - "ĠDes ert", - "ĠMal ta", - "Ġab oard", - "Ġindic ating", - "Ġt icket", - "Ġfra ud", - "ĠPres byter", - "l ane", - "in as", - "Ġcom fort", - "Ġre vers", - "ĠFer din", - "ĠC ort", - "Ġwork er", - "Ġexp ensive", - "Ġpri ests", - "Ġs ung", - "y on", - "Ġcon ven", - "ĠR ice", - "l ights", - "Ġfre estyle", - "ĠC ust", - "w id", - "ĠA F", - "Ġcolle ctive", - "os es", - "ĠA ub", - "Ġdifficult ies", - "ĠPar ad", - "ĠEll is", - "play ing", - "ĠUS S", - "ĠRe form", - "ĠCamp us", - "onn ie", - "ĠEnd emic", - "ĠSe g", - "op ol", - "Ġcor ruption", - "at hered", - "Ġcat hedral", - "Ġexclus ive", - "ac in", - "ĠParliament ary", - "Ġdis order", - "Ġaff air", - "ff cc", - "ĠT ab", - "Ġaccom pany", - "Ġcop per", - "Ġc iting", - "found er", - "Ġde ck", - "Ġl iv", - "ĠGu itar", - "Ġf ulf", - "ĠT alk", - "ĠH im", - "st ract", - "ĠP ale", - "Ġbre ast", - "19 30", - "ĠBund es", - "Ġarchite cts", - "ĠKum ar", - "ĠAp ost", - "ull ah", - "ĠCard inal", - "Ġcomp ound", - "Q u", - "ĠV II", - "ed o", - "Ġb otan", - "ir ts", - "ĠMan ufact", - "ĠPear l", - "Ġcitiz en", - "Ġopt ions", - "Ġcarri es", - "ĠSaf ety", - "er ie", - "stru ct", - "195 9", - "ĠO z", - "Ġb ull", - "Ġtal ks", - "com pass", - "Ġfle w", - "ĠHit ler", - "Ġphys ic", - "ĠIs le", - "Ġsp end", - "ĠGu ang", - "Ġ{ {", - "Ġpit ched", - "Ġr ice", - "Ġsynd rome", - "Ġesc aped", - "Ġaggreg ate", - "Ġm oral", - "w as", - "Ġrefer end", - "Ġcent res", - "mont on", - "Ġpro l", - "Ġfoot age", - "Ġtarg ets", - "Ġun like", - "Ġra ising", - "ĠM ixed", - "Ġb ibl", - "Ġco ached", - "ari um", - "s ub", - "ĠGeorg ian", - "ĠB ott", - "ĠCelt ic", - "ĠM D", - "Ġc inem", - "Ġper mitted", - "um ps", - "or um", - "Ġh ills", - "Ġelev ated", - "Ġpl acing", - "Ġl ar", - "ĠEvent ually", - "ĠS ullivan", - "196 1", - "w oman", - "Ġre ducing", - "ĠAr d", - "n amed", - "Ġ <", - "Ġtechn ologies", - "ĠWy oming", - "ĠP iano", - "Ġsimultane ously", - "ĠB ronze", - "ĠManit oba", - "ĠG and", - "ĠTra in", - "ĠMon th", - "ĠHer o", - "ĠJ al", - "ĠRe cent", - "Ġdis aster", - "S outh", - "Nov ember", - "Ġsculpt or", - "osoph ical", - "ĠHol mes", - "Ġswit ched", - "is ons", - "Ġr ig", - "Ġre op", - "ĠDou ble", - "Ġpull ed", - "Ġeffic ient", - "Ġrefle ct", - "c u", - "leg raph", - "Ġfram ework", - "Ġme at", - "Ġvirt ual", - "ĠBeg inning", - "od ing", - "i our", - "and ro", - "ĠH es", - "ĠCl aud", - "v or", - "ĠW ik", - "ĠH us", - "Ġimprison ed", - "ĠESP N", - "Ġpl ain", - "ĠH arm", - "Ġs itting", - "ĠSc out", - "for ced", - "Ġf t", - "Ġc hess", - "v y", - "Ġg ear", - "Ġpil ots", - "ĠMet al", - "ĠPl ate", - "ĠOr land", - "ĠMor i", - "ac les", - "g ary", - "G M", - "H F", - "Ġb oss", - "Ġaware ness", - "Ġt ill", - "Ġnickn ame", - "ĠSh ield", - "ĠB ark", - "ĠTan z", - "Ġlocomot ive", - "Ġcoin c", - "ĠL iv", - "Ġdef ender", - "Ġveter an", - "195 8", - "ĠH D", - "y stem", - "ĠCurrent ly", - "s m", - "Ġdem ands", - "ĠPlay ing", - "Ġfund amental", - "th ird", - "sh a", - "ĠGl ass", - "G C", - "ĠM ales", - "ĠDun can", - "Ġcoll apse", - "Ġquarter back", - "Ġsh ops", - "Ġs ugar", - "Ġans wer", - "ĠW ool", - "ax y", - "Ġbomb ing", - "Ġcompar ison", - "Ġcoll aps", - "ĠBel grade", - "man uel", - "in ating", - "ĠC ore", - "Ġbus es", - "Ġ184 7", - "ĠX I", - "amb ers", - "le z", - "I reland", - "ĠWood s", - "ĠC R", - "ci ation", - "Ġemot ional", - "w orld", - "U N", - "ĠG ymn", - "onn ell", - "Ġt ier", - "ĠDe cl", - "k t", - "P r", - "ĠBe et", - "ond o", - "Ġstud ios", - "ol ics", - "ĠW atch", - "g ence", - "ĠAn at", - "ĠF K", - "Ġbl ues", - "Jan uary", - "ĠPort s", - "Ġthe ories", - "hold ers", - "Ġer ror", - "h arm", - "Ġfl ank", - "ĠB ran", - "at in", - "ĠBr ussels", - "ĠUnivers e", - "Ġwid ow", - "Ġorgan ic", - "ĠJul ia", - "Ġsam ples", - "Ġbl ind", - "oot s", - "ra cks", - "ack ed", - "ĠH od", - "Ġfound ers", - "ĠS ou", - "ĠCal gary", - "Ġsc iences", - "ĠLes lie", - "ĠK om", - "ĠSt akes", - "ĠBut ter", - "Ġdes ert", - "ĠEston ia", - "193 6", - "ĠMar in", - "ĠC avalry", - "Ġout door", - "av ian", - "Ġhistor ically", - "Ġcor ps", - "ib a", - "Ġch rom", - "itte es", - "Ġpr ince", - "ĠR A", - "Ġprom in", - "ĠPhys ics", - "Ġun less", - "ĠCanter bury", - "195 7", - "ar ry", - "ĠSoft ware", - ") )", - "Ġphil anthrop", - "ĠFa ith", - "ĠD iet", - "Ġfeel ing", - "com m", - "uk u", - "Ġg athered", - "ĠT iger", - "ĠK urt", - "ĠV a", - "in ery", - "Ġp ap", - "Ġcart oon", - "ĠTri ple", - "Ġent hus", - "Ġmeas ured", - "che l", - "ĠF ut", - "Ġtouchdown s", - "Ġev olved", - "Ġreserv es", - "W hat", - "ĠLegisl ature", - "ĠE is", - "ĠD um", - "Ġto x", - "Ġp ushed", - "ĠAndrew s", - "ast ics", - "ĠMe et", - "Ġ185 3", - "ĠSp ider", - "Ġmain stream", - "Ġin stitute", - "ĠCh ange", - "I nt", - "d orf", - "Ġthink ing", - "ĠCont inental", - "Ġspe akers", - "imens ional", - "ĠPro p", - "Ġdoll ars", - "Ġt ub", - "ĠHop kins", - "ĠN ortheast", - "im en", - "iz ard", - "ig i", - "ĠAd vanced", - "I tal", - "ĠHonor ary", - "r ary", - "ad h", - "Ġrif le", - "ĠL ic", - "Ġphr ase", - "ĠT ropical", - "ĠL oss", - "on ica", - "Ġdet ect", - "Ġent ers", - "all ing", - "ad ers", - "Ġw orn", - "o ft", - "ĠMe h", - "Ġall ies", - "Ġun ions", - "ĠFight ing", - "Ġcasual ties", - "Ġthan ks", - "ĠH erm", - "Ġdescend ants", - "S ch", - "qu et", - "ĠBra h", - "Ġexpl ains", - "ĠR ush", - "Ġste ep", - "ĠBry an", - "o que", - "Ġrang es", - "Ġatmosp here", - "intend ent", - "Ġbox ing", - "Ġtour ist", - "Ġret reat", - "Ġwor st", - "ĠAr sen", - "int ers", - "ĠSol omon", - "bo at", - "ĠLithuan ian", - "Ġsusp ension", - "Ġproced ure", - "l ength", - "us a", - "Ġdial ect", - "ater al", - "Ġvaria ble", - "Ġcomp rehensive", - "es is", - "Ġh idden", - "ip ur", - "as an", - "Ġgold en", - "Ġexhib it", - "ĠAlban ia", - "ĠUnivers ities", - "Ġcross es", - "Ġcor on", - "ĠHe ights", - "Ġz ero", - "ĠTrans it", - "ist ing", - "Ġdocument ed", - "I f", - "ĠCom pos", - "ĠCa uc", - "Ġsh aring", - "Ġinter change", - "ĠV eter", - "ĠC un", - "Ġdo ct", - "Ġhon ours", - "ang ered", - "Ġcharacter istic", - "ĠS ons", - "Ġrefuge es", - "Ġpro ve", - "Ġdis app", - "E ast", - "Ġro ot", - "Ġ184 6", - "ĠEd monton", - "ĠM is", - "Ġag es", - "ĠNAS A", - "Ġp ist", - "ipp ing", - "Ġassoci ations", - "ĠLud wig", - "ĠL on", - "Ġst ake", - "Ġautom atic", - "ĠStart ing", - "Ġslow ly", - "r t", - "ĠRem ix", - "r ity", - "Ġappro aches", - "ĠBur ials", - "Ġsp ell", - "Ġst ops", - "Ġf ert", - "Ġs oph", - "ĠRoll ing", - "Ġres iding", - "ick en", - "ĠTw itter", - "ĠP R", - "ĠT at", - "ĠGu j", - "Ġpe er", - "195 6", - "ĠPow ell", - "iff e", - "Ġattack ing", - "ĠEm ma", - "195 5", - "k u", - "Ġcivil ians", - "Ġreg ister", - "Ġgrand son", - "Ġconsum ption", - "Ġsoci eties", - "n al", - "Ġpost s", - "Ġy ard", - "Ġind epend", - "Ġsport ing", - "ĠNew port", - "ĠFrank furt", - "Ġres ol", - "Ġmag ic", - "ĠCh ad", - "ĠHend erson", - "Ġpro x", - "ĠCl if", - "Ġrem ark", - "Ġins pe", - "ĠH iro", - "Ġart ificial", - "19 20", - "Ġsust ained", - "Ġse eds", - "Ġsuppl ied", - "193 7", - "Ġb old", - "Ġreg ulation", - "ĠKing ston", - "ĠThe ory", - "ĠR ib", - "pir acy", - "i ott", - "ĠH ull", - "ĠSh adow", - "itz er", - "g art", - "ĠPl anning", - "Ġmonth ly", - "Ġdiffic ulty", - "Ġexcell ent", - "Ġkey board", - "ĠM uk", - "Ġfeel ings", - "ĠBrad ley", - "l it", - "f ast", - "ĠP orter", - "l ies", - "ern ess", - "Ġsculpt ures", - "Ġben ch", - "ĠMem phis", - "Ġib n", - "Ġcom ments", - "ĠPlan et", - "Ġin struction", - "G u", - "ĠT yler", - "ĠV id", - "Ġvers e", - "ux iliary", - "ch ief", - "ĠTe h", - "ĠMar ri", - "Ġconne cts", - "Ġen compass", - "ĠShe p", - "a very", - "quir y", - "Ġcontrol s", - "ĠSt rat", - "ĠLe op", - "Ġrefer ring", - "ĠS ie", - "Ġor chest", - "Ġtour ism", - "Ġ\" [", - "b ase", - "ĠPar am", - "s outh", - "ĠExped ition", - "Ġdr ink", - "Ġent repreneur", - "Ġfail ing", - "Ġen emies", - "ĠP ool", - "w he", - "ĠP seud", - "spe ed", - "Ġvict ories", - "Ġhyp othes", - "Ġtem ples", - "Ġdistin ctive", - "ĠEm ily", - "Ġfe ud", - "ĠSur rey", - "Ġover t", - "ĠMinist ers", - "Ġrad ar", - "ĠBre ak", - "ph ab", - "Ġt elling", - "ĠComple x", - "sh i", - "Ġkilomet ers", - "ĠC ord", - "atter ed", - "ĠArm strong", - "Ġs overe", - "ĠBl oom", - "m us", - "ĠBa iley", - "Ġpsych ology", - "enti eth", - "ĠN atal", - "194 2", - "ĠHigh land", - "ĠLore n", - "Ġlog o", - "ke es", - "ĠSp art", - "ĠM iles", - "Ġqu ad", - "ut ical", - "G S", - "Ġdiscontin ued", - "ĠDire ct", - "and ra", - "ad os", - "Ġloc k", - "ĠM om", - "ĠPrincip al", - "Ġpl astic", - "Ġpopul ated", - "ĠOrland o", - "Ġdanc er", - "ĠRichard son", - "ĠWarri ors", - "6 00", - "Ġdistin ction", - "Ġev il", - "Ġreform s", - "S w", - "ĠA A", - "D I", - "ĠE state", - "Ġcontract s", - "Ġh yd", - "ĠFran ois", - "ĠP ly", - "Ġcomed ian", - "Ġfor ty", - "194 1", - "Ġmiss ile", - "Ġf ib", - "Ġab ilities", - "r h", - "Ġm orph", - "ĠDou g", - "ĠEv angel", - "193 5", - "ĠW or", - "uis ine", - "ĠU z", - "Ġexper iments", - "en i", - "ĠNad u", - "ĠFerdin and", - "ĠInter ior", - "Ġsup plement", - "Ġret iring", - "it ro", - "Ġprogram mes", - "Ġvolunte ers", - "Ġb one", - "iat ric", - "ĠSlov enia", - "p id", - "Ġair line", - "Ġobject ive", - "ĠHe aven", - "Ġbre eding", - "ĠD und", - "ĠQ ing", - "ĠBou levard", - "Ġneighbour hood", - "om es", - "he ro", - "ĠPict ure", - "ge bra", - "a q", - "Ġt one", - "Ġlaws uit", - "Ġprint ing", - "Ġpredomin antly", - "Ġg ap", - "Ġthe sis", - "ĠN acional", - "j oin", - "Ġsp ots", - "p es", - "stan bul", - "Ġrecru ited", - "Ġd rove", - "f ol", - "Ġg rid", - "ĠEug ene", - "Ġtax es", - "Ġdo ctors", - "ĠAnd ers", - "195 3", - "Ġvul ner", - "Ġarr ives", - "ĠT ake", - "Ġf ung", - "ĠK ang", - "Ġimpro vements", - "b eat", - "Ġv ow", - "ĠK ad", - "Ġlo oks", - "ĠGu atem", - "l ay", - "ĠComple te", - "Ġpark ing", - "Ġcolle agues", - "Ġadminist ered", - "Ġathlet ic", - "h is", - "Ġlo op", - "du ces", - "Ġgrad uation", - "Ġas pect", - "fam ilies", - "st s", - "up er", - "Ġvo iced", - "ĠLuther an", - "Ġrat ings", - "Ġdiplom at", - "Ġbeet le", - "ĠCom bat", - "ub b", - "ĠCarol ine", - "ĠAg es", - "Ġacc um", - "Ġlay out", - "Ġc ave", - "ien ne", - "Ġass um", - "ĠG n", - "ĠZ amb", - "ple te", - "m l", - "ric ulum", - "Ġred es", - "ari us", - "ess a", - "Ġtheat rical", - "ĠBrad ford", - "v as", - "Ġsyn onym", - "Ġqu een", - "Ġaut ob", - "Ġhe nce", - "ĠL if", - "ĠH MS", - "193 8", - "Ġa w", - "ĠC andid", - "ra its", - "ĠTour ism", - "ol an", - "Ġfavor ite", - "Ġannounce ment", - "ĠR achel", - "Ġlabor atory", - "Ġgra ve", - "ĠGen us", - "Ġaffili ate", - "b ian", - "ĠAd rian", - "Ġalleg ations", - "h orn", - "ĠCh ase", - "Ġwrest lers", - "ĠS pect", - "le ston", - "Ġas king", - "m al", - "Ġdown load", - "des ignated", - "ĠOther s", - "ĠW orth", - "Ġs ure", - "Ġl ib", - "ĠStaff ord", - "iz a", - "e a", - "Ġor th", - "Ġexpl icit", - "Ġrel ay", - "ard i", - "le ct", - "Ġrap per", - "f ounded", - "ĠM ater", - "ĠP am", - "Ġpro of", - "ĠJenn ifer", - "ĠA I", - "Ġvari ation", - "Ġpat ri", - "he ld", - "ann on", - "Ġd ict", - "Ġret ain", - "offic ial", - "ĠD ig", - "om ar", - "ĠI gn", - "Ġconsist ent", - "Ġch ore", - "che z", - "Ġemploy ee", - "E uro", - "Ġtravel s", - "ar in", - "ĠSim pson", - "Ġpay ment", - "im er", - "ĠRoberts on", - "ĠW ake", - "ĠL ah", - "Ġr iders", - "Ġc ogn", - "ĠAb original", - "ĠW onder", - "Ġfocus ing", - "ou x", - "ĠLoc ation", - "Ġwa iting", - "Ġobl ig", - "j in", - "ap ing", - "it udes", - "Ġfa una", - "ĠS ap", - "Ġst ead", - "ĠCap itol", - "ĠAgric ultural", - "enc ia", - "Ġlo ad", - "ĠLind a", - "Ġgrad es", - "Ġval uable", - "ĠS oci", - "ĠM ing", - "Ġcom mentary", - "ĠSem i", - "ag ram", - "Ġnam ely", - "ĠEngine er", - "ĠHe ath", - "ĠCurt is", - "c io", - "ĠEuro vision", - "Ġceleb ration", - "ber y", - "Ġin hib", - "ĠPl ants", - "194 9", - "al in", - "Ġp unk", - "ĠJ ag", - "Ġsurn ames", - "ĠD ong", - "ĠL av", - "ĠNot re", - "ĠInd ex", - "pl ing", - "ĠRepublican s", - "Ġsax ophone", - "Ġcompris es", - "f n", - "Ġgoal keeper", - "Ġadvoc ate", - "oc ent", - "ĠT rent", - "ĠCor p", - "ĠGib son", - "Ġc ad", - "Ġf lex", - "ist o", - "Ġun ex", - "ĠE g", - "ĠHur ricane", - "ĠDocument ary", - "ĠPresbyter ian", - "Ġspok es", - "Ġinsc ription", - "Ġbusiness people", - "em pl", - "P P", - "Ġunder graduate", - "ear ing", - "Ġneighbor ing", - "ĠInter state", - "u er", - "Ġang le", - "ĠSlovak ia", - "c ity", - "195 2", - "Ġm ilk", - "V A", - "m ount", - "Ġpo ison", - "ĠBat man", - "wid th", - "Ġlab els", - "ĠPresident ial", - "Ġexpl an", - "Ġcommun ist", - "ĠPir ates", - "qu in", - "m ail", - "spe aking", - "Ġb ars", - "ĠH ed", - "19 19", - "195 4", - "aw i", - "Ġf iles", - "Ġqu e", - "ĠPhys ical", - "Ġc ounsel", - "ane ous", - "Ġa ims", - "Ġmur ders", - "Ġso ap", - "Ġrev ival", - "Ġg ift", - "ĠCard iff", - "Ġinter action", - "Ġemphas is", - "hab ilit", - "f ight", - "ĠLiber ation", - "ĠImp act", - "ĠF an", - "Ġchalleng ed", - "Ġd eter", - "Ġalleged ly", - "ĠG an", - "ĠB j", - "Ġed itors", - "Ġfre ight", - "Ġman ip", - "ĠGl enn", - "ĠTr ue", - "194 8", - "Ġunivers e", - "Ġb out", - "Ġt ag", - "Ġpat ent", - "ĠChel sea", - "b et", - "ĠA N", - "ĠPro gressive", - "zy me", - "Ġdial ogue", - "ĠR ac", - "p it", - "ĠBened ict", - "ĠHead quarters", - "ĠF erg", - "ĠMar cel", - "Ġsh ield", - "Ġox ygen", - "E F", - "Ġgeneral s", - "Ġgraph ic", - "ar ity", - "ĠPar agu", - "rand ed", - "ĠC av", - "ĠS ent", - "Ġwrest ler", - "ĠA ra", - "Ġstat ements", - "Ġtrans it", - "Ġtri ple", - "Ġfoss il", - "he nd", - "f eat", - "per t", - "p op", - "ĠL ink", - "ap a", - "ĠW end", - "ĠRoad s", - "Ġcons cious", - "Ġfl ash", - "f in", - "Ġconcept s", - "Ġpre v", - "194 4", - "8 00", - "Ġdet ail", - "Ġwarn ing", - "Ġfunction al", - "Ġdevelop ments", - "ash tra", - "Ġs av", - "ĠG ir", - "ĠV ision", - "Ġto ll", - "S he", - "ess ed", - "Ġj ew", - "ĠCath olics", - "ĠVir t", - "ĠR ican", - "Ġimp ossible", - "Ġdram atic", - "ĠI stanbul", - "H ung", - "ĠBelf ast", - "ĠChem ical", - "ĠCr us", - "Ġreb ounds", - "n ut", - "ĠM t", - "ĠSant os", - "ĠB ot", - "id ance", - "Ġm oll", - "ĠKazakh stan", - "Ġseem ed", - "Ġmain land", - "ĠCr iminal", - "ĠK urd", - "ĠPal m", - "Ġcomp ounds", - "Ġtack les", - "n ai", - "Ġcal endar", - "ere k", - "Ġexact ly", - "Ġexpl ain", - "ond e", - "ĠNe g", - "ĠD w", - "ber to", - "ĠAct iv", - "ĠAcc ount", - "ĠSch olar", - "ctor ate", - "Ġdr inking", - "194 6", - "Ġeng agement", - "k ok", - "Ġel abor", - "Ġb ats", - "ĠLy on", - "m ade", - "ir th", - "195 1", - "Ġexecut ives", - "ĠC ome", - "ĠMidd les", - "ar am", - "Ġmaintain ing", - "on al", - "Ġst ere", - "ct uary", - "ĠE RA", - "og o", - "am med", - "ĠF est", - "Ġarg ues", - "Ġunderw ent", - "ro le", - "Ġans w", - "ĠP ink", - "ch y", - "Ġbroadcast s", - "e ctions", - "Ġen act", - "Ġphilos opher", - "Ġbel t", - "Ġbehav iour", - "L S", - "Ġeditor ial", - "ĠCour se", - "ĠTh under", - "Ġph osph", - "ĠNAS CAR", - "Ġarr ive", - "Ġfif ty", - "ust rated", - "ĠAmer icas", - "ĠDev il", - "ĠEn s", - "in ted", - "Ġd iet", - "clud ed", - "ĠEm my", - "Ġext ends", - "Ġhapp y", - "ĠBed ford", - "ĠOs lo", - "Ġhead quarter", - "ĠCrit ics", - "ĠAm endment", - "build ing", - "ĠN AT", - "193 3", - "ĠM oney", - "ĠRe id", - "Ġimprison ment", - "Ġra id", - "Ġop ens", - "ĠWith out", - "Ġdiv or", - "Ġwar fare", - "ott o", - "Ġf iring", - "ĠAntar ctic", - "ĠP i", - "ĠH oll", - "Ġf aces", - "ĠPre ston", - "Ġimm igration", - "ĠP all", - "Ġsurviv ors", - "Ġl ad", - "O W", - "F ebruary", - "Ġres ource", - "Ġamount s", - "ĠCom b", - "ĠTour ist", - "ĠAgain st", - "ĠK aren", - "ĠAn imal", - "Ġw ars", - "Ġm emor", - "ip zig", - "Ġin g", - "ĠLuxemb ourg", - "ĠL il", - "oun s", - "Ġab und", - "bu ilt", - "Ġholid ay", - "Ġbeat en", - "Ġpres ents", - "Ġmole cular", - "ĠH alf", - "ĠH aven", - "ĠFellow ship", - "Ġreferend um", - "en o", - "Ġ184 5", - "oca ust", - "k ers", - "est rian", - "ro us", - "Ġcolon ies", - "le w", - "Ġspec imens", - "r ill", - "19 22", - "Ġpass ion", - "Ġm as", - "Ġconsum er", - "ID S", - "Ġc ant", - "sh ore", - "ĠC ed", - "ĠU FC", - "he rent", - "ild a", - "ĠB rent", - "Ġper ceived", - "194 7", - "Ġch apters", - "Ġaf ternoon", - "uch y", - "ĠD oll", - "Ġc ow", - "ch ard", - "ĠPat ric", - "Ġsign als", - "ĠAlger ia", - "ĠR iv", - "Ġf abric", - "Ġprep are", - "Ġse gments", - "ĠBurn s", - "ĠE in", - "he ng", - "ang o", - "asc ar", - "Ġsh arp", - "Ġprogress ive", - "ĠB A", - "Ġs ick", - "ĠUtt ar", - "t es", - "Ġtravel ing", - "ĠT ales", - "Ġ ).", - "ĠDisc overy", - "te chn", - "ĠV ij", - "Ġwill ing", - "19 29", - "ĠO pt", - "im m", - "ing le", - "ĠK ann", - "12 2", - "Ġgl ac", - "ĠOrgan izations", - "Ġd iversity", - "Ġcult ures", - "Ġsuccess ion", - "ĠEx cell", - "Ġhand ed", - "l as", - "ĠCorn ell", - "Ġaccommod ate", - "Ġm aid", - "ĠL ists", - "ĠC ut", - "ĠL ip", - "omet own", - "ĠPrim era", - "ĠA FL", - "ber ger", - "Ġperform ers", - "is le", - "ĠFed er", - "ĠSe oul", - "ĠLuc y", - "Ġj ail", - "ĠP ere", - "ĠAdvent ures", - "Ġor b", - "193 4", - "Ġfor cing", - "stad t", - "Ġact ively", - "add y", - "ass y", - "Ġperman ently", - "ĠEm il", - "Ġ7 00", - "Ġeffic iency", - "ĠMil ton", - "ĠV isc", - "ĠC any", - "amm ad", - "ĠTri p", - "Ġgraph ics", - "ĠLyn n", - "M D", - "ĠK yle", - "ĠK ot", - "ĠEd gar", - "ĠS ed", - "ĠAdminist rative", - "Ġreview ed", - "h urst", - "Ġimpro vement", - "qu est", - "ĠAndre a", - "ĠBas il", - "ĠNew sp", - "Ġassess ment", - "Ġprison er", - "Ġsus pected", - "Ġext ending", - "ĠBur ton", - "in ts", - "Ġsc andal", - "ĠD istricts", - "Ġprovision s", - "Ġinvestig ate", - "ĠTreat ies", - "19 14", - "ĠFras er", - "Ġhard ware", - "Ġn a", - "ĠI g", - "Ġprevent ed", - "mun ition", - "Ġ10 5", - "ĠBe yond", - "im mer", - "ay e", - "ĠC ly", - "ĠL ap", - "p iece", - "ĠJohn s", - "i w", - "Ġalt itude", - "ĠG am", - "Ġcont ribute", - "ĠExam ples", - "Ġor ange", - "ĠLett ers", - "Ġcap ita", - "ĠEst abl", - "ĠH els", - "ĠGust av", - "Ġ18 12", - "ĠF antasy", - "Ġread ers", - "ĠMar ian", - "ic ul", - "ĠW it", - "Ġcut ting", - "Ġpresent er", - "Ġpresent ation", - "re ne", - "ĠV ale", - "Ġt ram", - "c ats", - ". ;", - "Ġt ru", - "Ġgu ards", - "Ġs ending", - "ĠYan kees", - "u h", - "Ġship ping", - "ĠH ost", - "ĠWag ner", - "Ġnumber ed", - "str ument", - "Ġaff ord", - "atri ates", - "Ġin tern", - "ow ing", - "ĠRes p", - "Ġeduc ator", - "ĠHug o", - "Ġc raft", - "ĠL odge", - "et own", - "im p", - "Ġachie vements", - "Ġrefle cted", - "ĠK aw", - "ri er", - "f bb", - "Ġconvin ced", - "ĠGael ic", - "Ġput ting", - "Ġrebell ion", - "ĠBud apest", - "Ġtrans form", - "Ġ12 5", - "f ive", - "ĠTh an", - "ĠTrin idad", - "Ġte eth", - "oc hem", - "Ġbur ial", - "Ġaddress ed", - "ĠG es", - "v ity", - "ĠMar ion", - "Ġal ien", - "com mon", - "Ġpres erve", - "Ġconfl icts", - "ĠAber de", - "Ġfam iliar", - "Ġas k", - "Ġbo ards", - "Ġ13 0", - "ett es", - "ĠRoche ster", - "Ġpost er", - "Ġ183 7", - "Ġconf ront", - "m ant", - "Ġstation ed", - "ad ors", - "Ġ183 9", - "Ġoper ators", - "bo oks", - "ĠGene va", - "Ġmyth ology", - "Ġsol utions", - "Ġexam ination", - "ber n", - "Ġsail ing", - "Ġthere by", - "Ġcounter part", - "qu al", - "ipe g", - "an che", - "Ġfl our", - "ĠEthiop ia", - "Ġdies el", - "o il", - "ĠC anton", - "Ġsh ots", - "ĠP aper", - "Ġor g", - "ĠA th", - "Ġinter vention", - "Ġt ip", - "Ġrel ie", - "Ġrenew ed", - "Ġadminist rator", - "il ion", - "ch air", - "Ġcitizens hip", - "iment al", - "Ġ1 17", - "ĠV it", - "ĠK iss", - "ce ased", - "Ġex it", - "Ġdiscrim ination", - "Ġth rew", - "Ġleg it", - "ĠNever theless", - "Ġemp ire", - "Ġt ape", - "st ance", - "ĠElect ronic", - "ĠL ed", - "A f", - "ĠColomb ian", - "ist le", - "ĠH ern", - "Ġess entially", - "Ġd ogs", - "ĠMc Donald", - "ĠC os", - "Ġb rew", - "Ġevent ual", - "Ġthir teen", - "Ġnot ing", - "ĠAg re", - "ĠD ew", - "d an", - "Ġt ube", - "ut o", - "ĠMax im", - "ĠSher iff", - "ĠAdvis ory", - "ĠBir th", - "ĠWes ley", - "ĠM ob", - "ĠMar l", - "194 3", - "Ġprot otype", - "m ology", - "ic ism", - "ĠMy an", - "Ġt issue", - "Ġc hest", - "Ġm emb", - "ĠRe y", - "Ġnom inee", - "ĠR T", - "C ent", - "Ġp m", - "Ġend ings", - "st ock", - "ĠD arl", - "Ġdem anded", - "a uthor", - "ĠAlb any", - "th at", - "Ġcrop s", - "ĠS M", - "Ġre verse", - "Ġre ward", - "Ġgovern ing", - "Ġjud icial", - "ĠSing er", - "ic ular", - "ĠGl obe", - "pro duced", - "ĠWed nes", - "ĠReyn olds", - "c ock", - "Ġexper ts", - "iab ility", - "Ġdisc overs", - "Ġlif etime", - "ĠConstant in", - "Ġpack age", - "st op", - "ah u", - "ĠSerge ant", - "er ts", - "ĠPly mouth", - "ĠEll en", - "ator ies", - "ĠH off", - "ĠCar roll", - "Ġfriend ship", - "Ġconstru ct", - "s u", - "ster ious", - "ĠCon stitu", - "ĠI z", - "Ġinterest ing", - "ĠR az", - "ĠBe ver", - "oy le", - "Ġrequ iring", - "Ġcon ferences", - "g ang", - "193 2", - "t or", - "ĠB alk", - "Ġg aining", - "h ra", - "ĠBright on", - "ĠSh ore", - "ig ate", - "ĠC e", - "Ġpl ates", - "Ġfor th", - "ĠB end", - "Ġspecial ist", - "ĠC eleb", - "h art", - "Ġcompris ing", - "Ġtorn ado", - "Ġpsych ological", - "ch in", - "ĠRif le", - "Ġsh orter", - "if ax", - "ĠSt ore", - "] .", - "ĠAm b", - "arm s", - "col m", - "Ġh o", - "Ġg host", - "og g", - "Ġdel iber", - "Ġp ill", - "ĠJ i", - "Ġind oor", - "n on", - "Ġre de", - "Ġtas ks", - "ab out", - "ĠD S", - "Ġbreak s", - "B rien", - "ad m", - "ĠMyan mar", - "ins k", - "ĠJer emy", - "Ġdem ocracy", - "Ġinf ection", - "Ġf aster", - "h ou", - "Ġord inary", - "ĠCh uck", - "e ff", - "enz ie", - "l ined", - "pec ies", - "t z", - "Ġf ame", - "Ġex ile", - "ĠM aid", - "ak ov", - "Ġw elfare", - "Ġlocal ities", - "ĠJes se", - "ĠPl aza", - "ĠUs ing", - "Ġint ense", - "Ġd ancing", - "Ġper pet", - "ĠD ow", - "Ġst ored", - "ĠB ord", - "Ġfort ress", - "Ġ184 4", - "Ġex port", - "193 1", - "found land", - "Ġcomput ers", - "Ġcrit eria", - "Ġb orrow", - "Ġrepeated ly", - "ĠP s", - "ibl ings", - "alt ies", - "ne z", - "ist ent", - "ĠA B", - "re ated", - "Ġsh rub", - "Ġdispl ays", - "ĠS pl", - "L ove", - "Ġdesign ers", - "Ġ1 18", - "Ġswim mers", - "cest ershire", - "ĠOffic ers", - "Ġeng age", - "l ived", - "Ġtele phone", - "ĠRos a", - "Ġren owned", - "ĠVari ous", - "aw s", - "ĠMuseum s", - "ĠAl pha", - "ĠTest ament", - "ĠSac ram", - "Ġport ions", - "Ġimm un", - "pe z", - "Ġinteg ration", - "ĠCh al", - "ĠNob el", - "ĠLeban ese", - "Ġ u", - "ĠWinn ipeg", - "Ġp ir", - "Ġdiv orce", - "Ġpost hum", - "oc he", - "ĠB ody", - "Ġo w", - "Ġcut s", - "Ġequ ation", - "Ġw arri", - "19 28", - "Ġreb els", - "Ġrock et", - "ĠSpring field", - "Ġ183 8", - "Ġlibr aries", - "ĠMc N", - "et es", - "Ġproced ures", - "kins on", - "Ġsurre nder", - "atter y", - "Ġl oyal", - "Ġdi ocese", - "19 27", - "ĠP engu", - "Ġco ffee", - "Ġo v", - "g reen", - "ĠH ack", - "U SA", - "ĠAchie vement", - "c s", - "Ġf isher", - "Ġcl ay", - "ĠP ine", - "G O", - "ĠSil va", - "Ġsim ilarly", - "anc a", - "Ġgener ations", - "Ġlist en", - "Ġfour teen", - "l ore", - "at aka", - "Ġserv ant", - "Ġs weet", - "Ġappl ic", - "Ġindepend ently", - "ĠBC E", - "ĠLouis ville", - "r g", - "Ġfew er", - "ĠL omb", - "ĠBarn es", - "ĠA way", - "ia z", - "Ġw ish", - "c al", - "Ġun ve", - "Ġ15 00", - "ell ers", - "Ġhand ling", - "Ġcr ashed", - "ad al", - "Ġman ages", - "Ġtarget ed", - "Ġkill s", - "unn ers", - "Ġserious ly", - "Ġrec ipients", - "Ġprom ised", - "ay ette", - "unt ary", - "Ġvari ations", - "ĠG row", - "ĠD il", - "Ġcommit ment", - "W in", - "ĠStr ong", - "attal ions", - "ĠParalymp ic", - "Ġw al", - "ĠMat hematics", - "Ġbe am", - "ĠCarl o", - "Ġk ings", - "com p", - "ĠLad ies", - "ĠN in", - "Ġch orus", - "l ic", - "Ġexp atriates", - "Ġmy stery", - "ĠWind sor", - "ĠS isters", - "ĠPubl ishers", - "ĠLe ipzig", - "ĠHol ocaust", - "Ġmoder ate", - "ĠCany on", - "Ġsit uations", - "ĠS D", - "Ġvarian ts", - "Ġadvis or", - "at um", - "Ġor bit", - "ĠD ud", - "ĠIS O", - "ĠJam ie", - "h ops", - "Ġsur prise", - "Bl ack", - "ĠCamer oon", - "Ġhand le", - "Ġceleb rate", - "ĠCl aude", - "Ġprofession als", - "Ġwas n", - "Ġbelief s", - "v ae", - "ĠRoman ized", - "ĠC rystal", - "ĠA ven", - "Ġn est", - "ĠBas in", - "ĠC ros", - "ĠA part", - "Ġel ite", - "ĠBor is", - "Ġunderst ood", - "d istance", - "an ian", - "w ord", - "Ġover l", - "Ġfall en", - "phab et", - "ed e", - "ire ct", - "re a", - "ĠCo hen", - "fort un", - "op rano", - "Ġem pty", - "f fer", - "Ġnational ly", - "Ġp ub", - "ĠC B", - "ĠBol ivia", - "rec ord", - "Ġare na", - "Ġl ights", - "ĠH ood", - "Ġc ir", - "Ġ18 20", - "ĠRos en", - "ĠS uk", - "Ġv in", - "Ġ184 1", - "Ġthreat s", - "ĠInspe ctor", - "ĠV iv", - "Ġdra in", - "ĠLe vel", - "ĠCont in", - "Ġcl ients", - "que z", - "ĠN urs", - "ĠN u", - "ĠKenn y", - "Ġse ized", - "ĠN uclear", - "et ics", - "ĠE du", - "Ġcirc ulation", - "ĠJo el", - "Ġrevolution ary", - "art z", - "Ġdeal ing", - "Ġent ries", - "p arent", - "s ized", - "Ġman ual", - "ĠE ve", - "Ġconf used", - "ĠFerg us", - "Ġst olen", - "ĠMorris on", - "Ġresear cher", - "S te", - "Ġbi ology", - "im an", - "d ing", - "Ġconsult ant", - "ĠMaced onia", - "Ġl iver", - "Ġhoriz ont", - "ĠMin ne", - "ĠUrugu ay", - "ĠEll iott", - "up e", - "ĠJul ius", - "ĠN ico", - "ak k", - "ĠLanc aster", - "am as", - "Ġf irms", - "Ġsever ely", - "Ġsix teen", - "Ġcl ient", - "ĠJ ake", - "19 25", - "ĠM ats", - "ia e", - "Ġ184 3", - "ser ver", - "Ġcan cel", - "ĠVers ion", - "Ġopt im", - "ĠMal colm", - "ĠMad ag", - "Ġtri o", - "viron ments", - "Ġsusp ic", - "Ġup coming", - "Ġadvert is", - "Ġrece iver", - "Ġto ler", - "s ize", - "Ġon wards", - "ĠDe put", - "ĠP ret", - "Ġen roll", - "ĠH IV", - "Ġliter acy", - "Ġh ometown", - "M e", - "a que", - "S I", - "Ġobserv ation", - "Ġun p", - "ph ant", - "Ġbr ings", - "ip her", - "ĠCh oice", - "Ġflo ors", - "Ġsk ill", - "L ondon", - "ĠMur der", - "he y", - "ĠSpe aker", - "Ġm all", - "ĠNew foundland", - "amb a", - "or ient", - "Ġinter face", - "Ġh ole", - "ĠMar co", - "ĠMar tha", - "pr ises", - "ĠF ur", - "ĠUS SR", - "cha ft", - "ĠM s", - "et z", - "ĠTh urs", - "Ġau ction", - "ipl oma", - "ĠV III", - "Ġover lo", - "Ġpun ishment", - "% ),", - "Ġen zyme", - "uls ion", - "ĠShe n", - "ĠS ag", - "ĠKh al", - "Ġlect urer", - "Ġc oc", - "ĠK end", - "ĠW C", - "Ġbe ars", - "ust ers", - "ĠDor othy", - "ri um", - "Ġr ally", - "B ig", - "ĠRe in", - "N P", - "ĠPres idents", - "Ġrad iation", - "Ġw ore", - "ĠBeet les", - "Ġco ord", - "put ed", - "j iang", - "Ġcondu cting", - "Ġsurv ival", - "ograph ies", - "orm al", - "ic i", - "ato es", - "f ootball", - "ĠL ay", - "p ublic", - "Ġaccur ate", - "Ġpre fer", - "Ġcan on", - "ĠBur ke", - "Ġprof it", - "Ġsh ifted", - "ĠHar bour", - "Ġident ification", - "Ġpriv ile", - "uc a", - "ĠB order", - "ĠUnd erg", - "ĠIn stitution", - "Ġ183 6", - "ĠNapole on", - "Ġvolunte er", - "Ġpot entially", - "ĠHein rich", - "Ġmon uments", - "ĠSol o", - "ĠT ow", - "ĠNAT O", - "v iv", - "ĠCar ne", - "ing o", - "he v", - "Ġfollow ers", - "ĠML B", - "ar ag", - "Ġb ord", - "be ck", - "Ġgen es", - "ĠInd oor", - "ĠG em", - "Ġprot agonist", - "s ites", - "Ġhelic opter", - "et i", - "Ġc uisine", - "Ġfind ings", - "ĠArsen al", - "h alf", - "Ġ183 5", - "Ġpra ise", - "ĠV oc", - "Ġex ha", - "Ġsign ature", - "ĠN ass", - "Ġachie vement", - "Ġreal ized", - "yl an", - "ĠLear ning", - "Ġcolon el", - "ĠTasman ia", - "19 26", - "Ġch ronic", - "Ġdoctor ate", - "ĠF en", - "ĠR ica", - "Ġrel atives", - "Ġstream s", - "ĠJane iro", - "ĠBo eing", - "ĠVis ual", - "Ġtow ers", - "Ch rist", - "yl um", - "ĠE ye", - "lin ary", - "ĠM ile", - "19 17", - "ĠP oints", - "am ine", - "Ġm ail", - "Ġunivers al", - "ĠEd win", - "ĠL ines", - "ĠW A", - "ĠAle ks", - "I F", - "ros cop", - "Ġc osm", - "ĠNap les", - "ym ph", - "Ġno ise", - "onom ic", - "Ġport s", - "c ap", - "ĠW eather", - "Ġcre ates", - "ĠGram mar", - "Ġa est", - "ĠMon ument", - "T T", - "h or", - "ĠHeavy weight", - "ĠS earch", - "ĠDay ton", - "im on", - "E n", - "Ġep it", - "ĠS O", - "Ġlight ing", - "Ġw aves", - "ĠWork ing", - "ĠErn st", - "histor ic", - "19 21", - "omot ive", - "ĠF ant", - "ag ne", - "min ton", - "ĠHal ifax", - "ĠNE AT", - "ĠAT P", - "g io", - "ĠW ick", - "ĠStef an", - "Ġflu id", - "Ġenl isted", - "ĠG ul", - "Ġv oyage", - "Ġpre liminary", - "ul ine", - "ol ith", - "ĠIn side", - "os ing", - "pro duction", - "Ġmer c", - "Ġsup press", - "Ġadj ust", - "Ġneighbour ing", - "Ġrequire ment", - "h tt", - "ĠU m", - "19 24", - "Ġh ind", - "19 23", - "Ġscreen writer", - "Euro pe", - "Ġens emble", - "pr int", - "Ġ184 2", - "Ġment ions", - "Ġsepar ation", - "Ġsym met", - "ug a", - "b ey", - "ount ain", - "ĠD id", - "all i", - "ar re", - "Ġ( '", - "sh an", - "ĠL enn", - "ĠChief s", - "ĠBang kok", - "ĠT in", - "Ġpar ishes", - "ĠCraw ford", - "ĠR he", - "ĠMan or", - "Ġcongress ional", - "isc al", - "ĠAdvent ure", - "Ġ183 2", - "clus ive", - "Ġmission ary", - "Ġdecre ase", - "Ġdivor ced", - "Ġgr ants", - "ĠAn alysis", - "K A", - "Ġbar rel", - "rid or", - "ĠDeput ies", - "ĠNS W", - "ĠI BM", - "Ġfarm s", - "ĠFact ory", - "ĠPart icip", - "ĠC yp", - "ĠIs ab", - "Ġheadquarter ed", - "Ġvo ices", - "Ġb are", - "Ġl ie", - "Ġmagn etic", - "Ġant icip", - "rit z", - "Ġcongreg ation", - "Ġn aming", - "id ay", - "ĠG ol", - "ch ron", - "ĠChe ng", - "ĠK oh", - "Ġdevelop er", - "Ġrele asing", - "arch ived", - "ĠDire ctors", - "op hers", - "ĠM ick", - "Ġs unk", - "Ġjournal ism", - "Ġtorped o", - "ian e", - "Ġp ush", - "W orld", - "m ember", - "Ġb icy", - "ĠTheod ore", - "ĠW on", - "ĠAst ron", - "Ġst roke", - "Ġrec ruit", - "Ġo d", - "ĠD iana", - "in ia", - "ae a", - "Ġperson ally", - "c over", - "Ġsoutheast ern", - "ĠC and", - "Ġrain fall", - "ĠMadag ascar", - "Ġmat rix", - "ĠEd ge", - "Ġst eal", - "ĠG ott", - "ĠL ords", - "Ġaud iences", - "ĠStr ateg", - "F rance", - "Ġconsid ering", - "Ġfar mer", - "st age", - "ĠRh ine", - "s ar", - "ĠK ids", - "Ġcons ort", - "Ġdepos its", - "publ ished", - "reg ular", - "Ġline up", - "le igh", - "Ġencoura ge", - "Ġdisappe ared", - "Ġmanuscript s", - "Ġexplos ion", - "Ġpregn ant", - "ĠAr ms", - "ĠBal let", - "Ġhe m", - "re z", - "ri ans", - "ĠBul ld", - "ĠA L", - "Ġinhab ited", - "Ġprest igious", - "az ar", - "pt iles", - "Ġdraw ings", - "Ġs iblings", - "ĠBav aria", - "ĠT ank", - "el ong", - "ĠCol ony", - "ĠMon roe", - "ĠW ings", - "Ġor al", - "ĠD ir", - "ĠUl ster", - "Ġord ained", - "Ġcontest ants", - "ĠP ars", - "ĠHay es", - "Ġex terior", - "ĠSpeed way", - "W ill", - "Ġf ru", - "Ġre venge", - "ĠJul ie", - "Ġanch or", - "Ġdepend ent", - "ĠHous ing", - "Ġqu iet", - "Ġelect ro", - "Ġaut umn", - "d istrict", - "ĠSab ha", - "FF FF", - "ĠChar ter", - "g rand", - "Ġpurs ued", - "um ped", - "Ġcal c", - "ir ie", - "art e", - "ĠBeng ali", - "Ġst ones", - "Ġregist ration", - "Ġt ale", - "ĠRich ards", - "ord inary", - "ĠRab bi", - "B r", - "Ġremember ed", - "man s", - "Ġsuggest ing", - "ĠMahar ashtra", - "v card", - "ĠG av", - "Ġstre ak", - "ĠRecord ings", - "ĠU A", - "es ar", - "ĠB rom", - "Ġshel ter", - "Ġtro uble", - "Ġst aged", - "Ġdram at", - "Ġmix ture", - "ĠSch ol", - "Ġgar rison", - "D E", - "Ġaer ial", - "Ġtrans formed", - "ĠM LA", - "ard e", - "Ġimpro ving", - "y ch", - "Ġrest ore", - "ou rag", - "Ġw ickets", - "Ġupgrad ed", - "Ġden omin", - "ĠN em", - "Ġdest ination", - "Ġmess ages", - "ĠTer ror", - "l ass", - ". ).", - "Ġen able", - "ĠR up", - "ĠAr ctic", - "Ġgu idance", - "F rench", - "Ġab bre", - "Ġc ens", - "all a", - "Ġex chang", - "Ġautom atically", - "ĠO le", - "ĠCommun ication", - "h anded", - "enn ium", - "Ġen abled", - "Ġencounter ed", - "Ġob sc", - "Ġa ster", - "Ġas h", - "ĠAlexand ria", - "P M", - "ern er", - "st ore", - "ĠF BI", - "ĠD atabase", - "Ġwithd rawn", - "ĠM oss", - "Ġinter im", - "ĠSebast ian", - "ast ed", - "or ers", - "ĠGeor ges", - "s ince", - "Ġdub bed", - "Ġcritic ised", - "ĠP ione", - "Ġd anger", - "Ġrecogn ize", - "ĠAnn ie", - "Ġinter mediate", - "Ġconf idence", - "ĠGrad uate", - "ĠKos ovo", - "th ree", - "Ġl aps", - "Ġlob by", - "Ġent ity", - "Ġin sects", - "ĠLog an", - "Ġm igration", - "Ġham let", - "ĠLead ership", - "ĠSte phan", - "Ġalgorith m", - "ĠStre ets", - "pr ing", - "Ġk nee", - "Ġinvest ors", - "Ġsen ators", - "ĠC osm", - "ĠMinne apolis", - "Ġkit chen", - "ĠArchae ological", - "ĠWol ver", - "Ġc otton", - "ĠCD P", - "Ġnation wide", - "il us", - "ĠCh o", - "ĠFl ag", - "rac use", - "Ġl eng", - "ĠL af", - "Ġt ut", - "ĠCon stitutional", - "Ġper former", - "ĠI de", - "ĠBe a", - "Ġpan els", - "Ġbank ing", - "ĠC H", - "Ġr ivals", - "G N", - "ĠV olleyball", - "g overnment", - "ĠCh am", - "ĠProte cted", - "ĠPh arm", - "Ġw reck", - "ĠBe ing", - "Ġdem ocratic", - "mid t", - "ĠSt yle", - "Ġgirl friend", - "let te", - "Ġam munition", - "Ġsp an", - "ĠI N", - "nt on", - "Ġg arn", - "Ġnortheast ern", - "t ico", - "app a", - "ĠMerc ury", - "Ġ{{ |", - "ĠH il", - "ĠCl ara", - "Ġstream ing", - "ĠS ail", - "Ġh ier", - "Ġder iv", - "l is", - "Ġc odes", - "opter a", - "' )", - "Ġ10 2", - "ĠBo hem", - "Ġ10 3", - "Ġshe et", - "Ġjoin s", - "ol ine", - "Ġver te", - "ĠB erm", - "Ġam pl", - "ĠTw in", - "ĠMontene gro", - "Ġvar ied", - "ch urch", - "Ġpract ition", - "Ġclos est", - "ĠY emen", - "Ġsem ifinals", - "ard ed", - "Ġl ung", - "bass adors", - "ur an", - "ĠKn ox", - "ĠPant hers", - "h ad", - "ĠR out", - "imens ions", - "s l", - "ĠFoot notes", - "2 50", - "c ribed", - "ĠPro ducer", - "ĠSte am", - "ĠI TV", - "ĠL ut", - "b oth", - "Ġhon ored", - "ĠVict ory", - "ĠO st", - "Ġpreserv ation", - "Ġmain tains", - "Ġp ink", - "ĠAgre ement", - "Ġsubs pecies", - "s elling", - "ĠGen eration", - "Ġh ung", - "Ġo ct", - "Ġpup ils", - "ĠC it", - "Ġh ub", - "ĠO S", - "ĠReg ulations", - "Ġst ability", - "Ġru ins", - "Ġwe aken", - "gr im", - "Ġconj unction", - "ĠSouth west", - "C ar", - "ĠS it", - "Ġinv ented", - "Ġown s", - "ĠZ en", - "ĠU se", - "Ġp ond", - "Ġball ot", - "ĠAd olf", - "ĠV at", - "Ġcons ent", - "air y", - "ĠAl g", - "ĠMad h", - "im i", - "ĠM BA", - "ĠPorts mouth", - "ĠLeic ester", - "ĠC ool", - "in ite", - "Ġpres idency", - "Ġte a", - "Ġs hed", - "ĠR id", - "ĠL ars", - "ace ous", - "Ġim posed", - "Ġacadem ics", - "ain es", - "ath am", - "ĠBl u", - "fl ies", - "ĠF ast", - "Ġtransport ed", - "ĠT ru", - "Ġsw ord", - "Ġabs ent", - "ĠK ind", - "Ġacc eler", - "ĠJohn ston", - "Ġflower ing", - "Ġterrit orial", - "c ourt", - "it ely", - "Ġafter math", - "ĠMed ieval", - "ink i", - "ĠM ail", - "Ġflood ing", - "y g", - "Ġl ux", - "ĠR um", - "Ġnob ility", - "ĠCle ment", - "Ġinter act", - "ĠTel ugu", - "ier i", - "ch ant", - "Ġlect ures", - "Ġauthor ized", - "Ġc ock", - "ĠH ert", - "Ġre actions", - "art en", - "ĠN iel", - "ĠBes ides", - "Ġmotor cycle", - "Ġreve al", - "han ced", - "Ġest ates", - "Ġcon sec", - "Ġart if", - "w yn", - "Ġmin imal", - "ĠR oh", - "ĠCh ancellor", - "Ġhop ed", - "ĠY osh", - "Ġthe olog", - "ĠRaj a", - "Ġlearn s", - "Ġtop ped", - "ĠS ki", - "por a", - "ĠRec re", - "ĠRaid ers", - "ay ers", - "i ade", - "can ic", - "ĠF oss", - "Ġ14 0", - "Ġb inding", - "Ġen vironments", - "b est", - "ĠB ac", - "Ġfer ry", - "ment ed", - "Ġsequ ences", - "Ġ202 4", - "Ġmult ipl", - "Ġexp anding", - "Ġf ran", - "G P", - "ĠS ara", - "Ġrecon struction", - "ĠKarn ataka", - "Ġhost ing", - "ĠV eh", - "ĠNorth ampton", - "ĠL ob", - "Ġde als", - "ĠWW E", - "ĠD erek", - "Ġro bot", - "ĠK och", - "Ġrom ance", - "Ġal tered", - "Ġent r", - "ĠM ake", - "ĠEmer gency", - "ĠF alk", - "ow der", - "Ġj et", - "ĠUlt imate", - "Ġcl oud", - "ĠTanz ania", - "Ġsymb ols", - "Ar t", - "elect ric", - "Ġstri king", - "is i", - "Ġh az", - "g as", - "Ġs ky", - "Ġdanc ers", - "Ġf atal", - "Ġs in", - "Ġm ast", - "ĠF ont", - "Ġenh ance", - "un al", - "ĠY a", - "ĠTh ames", - "Ġbass ist", - "Ġper mit", - "ot ten", - "Ġdepict ing", - "Ġsudden ly", - "an ing", - "ĠSy racuse", - "Ġmass acre", - "Ġsl avery", - "Ġsh aped", - "Ġacqu ire", - "Ġarch ive", - "Ġconcent rated", - "! ,", - "e u", - "ass ic", - "Ġd uration", - "v ideo", - "Ġread s", - "Ġep id", - "at as", - "Ġmer ely", - "ĠS ister", - "Ġper m", - "Ġdel ay", - "Ġsurre nd", - "m ons", - "Ġpriv ately", - "ĠJ orge", - "B rit", - "ĠGar ca", - "Ġmut ual", - "Ġaver aged", - "Ġdist urb", - "ĠN one", - "ĠSuper ior", - "Ġf rog", - "r ina", - "rest rial", - "ĠSem inary", - "flu ence", - "ĠSuff olk", - "uv ian", - "ĠAut om", - "Ġdeep ly", - "Ġwa it", - "ĠCoal ition", - "ĠB ren", - "field s", - "ne um", - "ĠRet rieved", - "ĠC i", - "Ġmus cle", - "ĠW aters", - "ĠChem istry", - "Ġfem inist", - "ĠR as", - "id an", - "ĠDou bles", - "as ium", - "ĠBel le", - "ĠL it", - "Ġcab in", - "ĠChar leston", - "ĠWal sh", - "Ġinter actions", - "ĠR oth", - "ĠGre ene", - "Ġreleg ation", - "Ġp icks", - "Ġdoub t", - "ĠQ atar", - "Ġtre as", - "ĠS F", - "w alk", - "oc ity", - "ĠM ikh", - "ak o", - "em i", - "Ġsm art", - "ĠPap ua", - "ĠBet ty", - "ĠM ant", - "Ġmilit ia", - "ĠE y", - "Ġtheore m", - "ĠC ul", - "stro ke", - "Ġacknowled ged", - "ĠPro s", - "Ġeng ra", - "ĠAg u", - "ighth ouse", - "ĠPro cess", - "Ġmonitor ing", - "Ġpod cast", - "ĠS ard", - "ĠDod gers", - "in is", - "Ġmet ab", - "Ġcreat or", - "if iers", - "abl o", - "w en", - "h as", - "Ġtrav elling", - "T o", - "Ġhand ball", - "ĠBrown s", - "Ġsouth western", - "ĠBrun o", - "Ġ10 4", - "Ġfair ly", - "ĠB ene", - "ĠC airo", - "ver ted", - "Ġemer ging", - "th ouse", - "Ġpol o", - "en ic", - "ĠIn st", - "ĠIn iti", - "Ġguitar ists", - "Ġcust omer", - "ĠS ib", - "Ġd ors", - "ĠMe yer", - "ĠSof ia", - "ĠW r", - "Ġind eed", - "k m", - "ĠL al", - "op ing", - "ĠCount ies", - "Ġcomp act", - "Ġra pe", - "ĠLat via", - "utt le", - "ĠA u", - "at ro", - "ĠGl ac", - "ĠBre nd", - "au f", - "igg s", - "ĠWednes day", - "Ġfinal e", - "ĠS ind", - "pent er", - "Ġar bit", - "d em", - "im ony", - "ĠR C", - "ĠAltern ative", - "Ġcons ensus", - "Ġfa ction", - "ĠH ydro", - "ĠD ate", - "j ud", - "er os", - "ĠRober to", - "W C", - "ĠRe ver", - "Ġhead ing", - "M al", - "ĠTh ings", - "Ġmission aries", - "Ġrebu ild", - "er ic", - "ĠY uan", - "Ġtop ic", - "ĠDra ke", - "it ory", - "ĠIn teg", - "ĠEnter prise", - "ĠNew man", - "ĠN ed", - "head ed", - "ĠFor bes", - "ur ai", - "Ġcul min", - "inn ed", - "Ġ10 6", - "ĠRock y", - "velop ed", - "Ġtransl ator", - "Ġshe ep", - "Ġpersonal ities", - "wa it", - "ĠBundes liga", - "ĠY ar", - "Ġvin yl", - "Ġsup porter", - "r ud", - "ill ance", - "Ġfor b", - "Ġd ock", - "ble m", - "ĠF resh", - "Ġin clusion", - "ĠLyn ch", - "en ess", - "ĠD awn", - "w ind", - "ĠSh an", - "Ġattra ction", - "Ġvari eties", - "Ġcondem ned", - "Ġpre y", - "ĠGriff ith", - "ĠMoh ammad", - "oc es", - "Ġfe els", - "Ġthe ology", - "ro up", - "ĠSen ators", - "Ġst ick", - "g ae", - "ĠBuddh ism", - "Ġv ital", - "ra k", - "ĠWill ie", - "d imensional", - "Ġsc ar", - "19 16", - "ĠT H", - "Ġfurn iture", - "oph on", - "Ġcar ved", - "ĠBas el", - "R oman", - "Ġb read", - "Ġthe or", - "Ġpr ayer", - "o ine", - "S E", - "al us", - "Ġun em", - "Ġinaug urated", - "ĠSh i", - "Ġbatt ing", - "p ath", - "ĠQu in", - "om ical", - "b ad", - "Ġexpl oration", - "ĠB agh", - "ĠPro gress", - "Ġch lor", - "ĠN orton", - "Ġmom ents", - "oc y", - "Ġdev ast", - "Ġb ore", - "W hen", - "Ġfl ora", - "ĠT C", - "ile e", - "ĠSound track", - "N orth", - "ĠH appy", - "Ġbe aring", - "Ġhapp en", - "Ġtra ff", - "Ġshould er", - "J ew", - "idel ines", - "Ġstory line", - "Ġp ump", - "Ġsac rif", - "ĠChron icle", - "Ġrecept or", - "ĠIndust ries", - "pol it", - "un ted", - "os ystem", - "Ġren ovation", - "omin ated", - "Aust ral", - "Ġh ull", - "Ġcirc ular", - "ab ul", - "um en", - "Ġcompens ation", - "Ġshall ow", - "en ary", - "Ġassass ination", - "ĠBl air", - "Ġmans ion", - "ĠC ock", - "ĠB ishops", - "ĠSupport ing", - "oc ate", - "Ġ183 4", - "hold er", - "pl ane", - "Ġproceed ed", - "ĠInd o", - "Ġhur ricane", - "g ender", - "Ġpar as", - "s an", - "Ġcolle cting", - "ĠM are", - "Ġcr im", - "Ġac claim", - "ĠRaf ael", - "Ġcons piracy", - "ĠLank an", - "ĠL ing", - "ĠVenezuel an", - "ĠSax ony", - "ĠCub s", - "any a", - "he art", - "ĠGu est", - "Ġhydro gen", - "The re", - "SC O", - "Ġbox er", - "ĠHer oes", - "ĠG raph", - "Ġr idge", - "c ur", - "ĠFrances co", - "Ġdis orders", - "ro b", - "est e", - "Ġf ate", - "ĠIm pro", - "Ġ ic", - "pe i", - "Ġback ed", - "cles iast", - "is ers", - "Ġscreen play", - "Ġinterpre ted", - "Ġpract iced", - "Ġc anton", - "ĠJosh ua", - "F ran", - "Ġhom osexual", - "10 2", - "che m", - "an or", - "ell ar", - "ĠBra ves", - "Ġkill er", - "Ġ3 60", - "Ġgod dess", - "ĠAberde en", - "Ġexpl ore", - "Ġv aries", - "Ġstri kes", - "ĠId ent", - "ĠAtl tico", - "ĠMunicipal ities", - "Ġreg iments", - "ĠD ylan", - "Ġcol ours", - "ĠRed s", - "v ie", - "ĠSol ar", - "Ġover w", - "Ġpros per", - "Ġal gebra", - "fl ix", - "Ġapp rent", - "Ġd ying", - "19 12", - "Ġl ig", - "Ġw are", - "ĠSub sequently", - "ĠIns urance", - "Ġf ires", - "Ġd iamond", - "Ġcl othes", - "r one", - "Ġs ulf", - "od on", - "ĠW ander", - "Ġcycl ing", - "ĠGuatem ala", - "Ġconfig uration", - "ik ing", - "Ġconf irm", - "Ġmed all", - "ĠH ok", - "Ġweb sites", - "iv ate", - "Ġpred ict", - "ct ica", - "ond a", - "ĠBi ology", - "ĠDe pression", - "Ġteam mate", - "Ġsail ors", - "ĠT ul", - "ĠB ast", - "ĠCre ative", - "p resident", - "ĠPatric ia", - "m art", - "Ġpropos als", - "19 15", - "Ġpubl ish", - "ĠSc ulpt", - "Ġl ord", - "Ġaut hent", - "ant es", - "z el", - "ĠH C", - "ĠPal omar", - "ĠDem ocracy", - "ĠKy iv", - "Ġnickn amed", - "ĠSacram ento", - "ĠS E", - "ĠE up", - "Ġcopy right", - "ĠMos es", - "Ġterror ist", - ". -", - "ĠArchite ct", - "Ġbankrupt cy", - "Ġz ones", - "ĠT ask", - "ĠRe b", - "ĠBald win", - "Ġstat istical", - "Ġwatch ing", - "A ng", - "Ġquant um", - "ĠB in", - "Ġphenomen on", - "ĠSwim ming", - "Ġsubd ivision", - "ĠApoll o", - "Ġrefer ee", - "os c", - "L E", - "Ġmathematic ian", - "Ġsen ator", - "Ġoccur ring", - "orce ster", - "Ġpost pon", - "Ġsole ly", - "ĠC ategory", - "Ġninet eenth", - "P ort", - "Ġman or", - "Ġm arri", - "ĠMore over", - "ik er", - "Ġburn ing", - "Ġre ass", - "ĠD re", - "ĠTro y", - "ir s", - "ĠB attery", - "Ġlar vae", - "Ġv ector", - "Ġprec ip", - "S F", - "Ġfavour ite", - "ĠSm art", - "ag le", - "Ġgener ate", - "Ġcur riculum", - "Ġstrugg led", - "av id", - "ĠFel ix", - "ard ment", - "d aughter", - "ers h", - "ĠV ish", - "19 10", - "Ġlay ers", - "com es", - "Ġut ility", - "ĠExcell ence", - "it ative", - "u o", - "ĠLoc ated", - "ĠP red", - "Ġexp elled", - "Ġcount ed", - "ri o", - "ĠAut o", - "Ġtrans formation", - "Ġveget ation", - "ĠI st", - "Ġobserv ations", - "ik es", - "Ġaccord ance", - "ĠC ash", - "S ec", - "Ġrival ry", - "Ġarm ies", - "ĠBalt ic", - "ĠSett lement", - "ĠFu j", - "ĠDen is", - "R E", - "e i", - "Ġbroad caster", - "Ġ16 0", - "et al", - "Ġbacter ia", - "Ġtrib al", - "ĠK ul", - "p ic", - "n ie", - "un ar", - "Ġmark ing", - "Ġport raits", - "Ġth orough", - "so le", - "Ġatt itude", - "Ġcomm anding", - "Ġrun way", - "Ġmar sh", - "ĠD rew", - "em por", - "... ]", - "Ġp aying", - "ĠY uk", - "ĠBrand on", - "Ġint ens", - "ro at", - "Ġgovern ed", - "Ġby pass", - "ĠV ick", - "ĠAssoci ate", - "l ar", - "ĠCong reg", - "Ġstr ings", - "ĠSim ilarly", - "Ġhop es", - "Ġmy sterious", - "ĠF o", - "Ġhealth care", - "Ġinteg ral", - "ĠChar acter", - "ĠG ospel", - "c ot", - "Ġbal let", - "Ġpartic les", - "ĠCarne gie", - "ĠX box", - "an an", - "ĠM ilit", - "ĠCam pe", - "y ou", - "Ġcollaps ed", - "ĠRo le", - "sc reen", - "D T", - "Ġmagn itude", - "Ġspec ified", - "ĠS ugar", - "on te", - "Ġhand led", - "p ie", - "ĠB uk", - "ĠF iji", - "Ġair ing", - "ĠU TC", - "Ġprompt ed", - "ĠCl aire", - "ĠThurs day", - "Ġd ella", - "ĠQu int", - "ĠSport ing", - "z an", - "ĠCan cer", - "Ġdraw s", - "Ġt ables", - "Ġeas ier", - "Ġsec ular", - "amp ire", - "ĠK ok", - "Ġconsequ ences", - "ov es", - "ĠW ong", - "ĠProv idence", - "Ġg astrop", - "Ġint ensity", - "it he", - "Ġmos que", - "and i", - "ĠChurch ill", - "ĠTr uth", - "ia k", - "mar ine", - "Ġc raf", - "ĠW id", - "ĠEl is", - "Ġassign ment", - "Ġhe ct", - "Ġwithdraw al", - "ĠSumm it", - "Ġsk ull", - "C O", - "Ġd ish", - "Ġqu oted", - "ĠMar ines", - "Ġmet re", - "ah i", - "Ġdep icts", - "Ġn erv", - "Ġtalk ing", - "Ġblock ed", - "Ġwhe els", - "ĠBer ry", - "ĠNe ed", - "Ġ183 3", - "ace utical", - "f s", - "van ces", - "Ġdecre ased", - "i ated", - "Ġless ons", - "erm o", - "Ġsurf aces", - "Ġoccas ional", - "ĠP omer", - "ch us", - "rag on", - "ĠE ty", - "ide a", - "ĠWin ston", - "Ġstrong er", - "Ġuncle ar", - "Ġcle ared", - "Ġbene ath", - "ten ham", - "Ġspec imen", - "Ġth rown", - "Ġcent ered", - "Ġimpress ive", - "Ġpro sec", - "Ġgrand mother", - "Ġserv ants", - "Ġter rain", - "Ġhabit ats", - "mer c", - "ĠGre ens", - "Ġs a", - "rit ic", - "Ġregard less", - "ĠGreat est", - "ch ar", - "Ġcorpor ation", - "Ġre ject", - "ĠKer ry", - "mark et", - "ĠVern on", - "Ġassemb led", - "19 13", - "j un", - "Ġland sc", - "ott a", - "ĠGriff in", - "ĠD art", - "Ġb apt", - "ge ons", - "Ġrem n", - "Ġfilm maker", - "w al", - "em ann", - "ĠU P", - "19 00", - "M T", - "ĠVi ol", - "Ġinterview ed", - "oy alty", - "n is", - "j ust", - "ĠPer uvian", - "ac ular", - "Ġrenov ated", - "ĠSh am", - "y u", - "ĠW orcester", - "ĠR BI", - "Ġp ounds", - "Ġed iting", - "D o", - "f old", - "Ġ3 50", - "ĠUz bek", - "ĠW is", - "Ġp ace", - "her ic", - "ĠEx tra", - "ĠJackson ville", - "ĠAppe als", - "to ok", - "og ical", - "Ġsocial ist", - "Ġtack le", - "ĠH its", - "se at", - "Ġess ays", - "ĠAr ist", - "Ġpl ed", - "ĠOri ental", - "Ġhe ter", - "Ġsur geon", - "ĠCow boys", - "Ġph on", - "ĠAct ing", - "ĠGar cia", - "ĠBro ck", - "gro up", - "7 00", - "Ġimp ressed", - "as is", - "con ne", - "if a", - "ĠFI BA", - "ĠPubl ished", - "ĠSac red", - "Ġsur pass", - "ĠSc ots", - "ĠKrish na", - "ip edia", - "Ġprepar ing", - "Ġadopt ion", - "olog ne", - "or ian", - "ĠR andy", - "Ġ17 75", - "ĠC inem", - "Ġlit erally", - "Ġcontin ental", - "Ġstret ch", - "Ġgen res", - "Ġhigh ways", - ") -", - "i ol", - "en ian", - "ĠTe en", - "Ġdyn amic", - "Ġcap abilities", - "oc o", - "ap o", - "Ġpromot ional", - "Ġworks hops", - "east ern", - "Ġw ound", - "ĠH ut", - "ros se", - "ĠS tern", - "Ġc rypt", - "ĠB ih", - "ĠSouth ampton", - "ĠNorth western", - "ĠK ick", - "ĠD ul", - "Ġle ase", - "ĠD ry", - "commun ications", - "ter a", - "Ġrev ived", - "ĠE yes", - "Ġp in", - "ĠSal em", - "Ġsp ir", - "Ġvary ing", - "ĠW ord", - "Ġ18 15", - "an z", - "Ġr ational", - "ĠMid lands", - "ĠS K", - "ĠC ave", - "Ġten or", - "Ġunex pected", - "arch ive", - "ĠB ridges", - "ĠBul let", - "Ġnorth western", - "Ġdevelop ers", - "ĠP itt", - "ĠDyn asty", - "Ġmot if", - "ĠG ross", - "Ġfl own", - "ĠFer ry", - "Ġkn ows", - "Ġinvestig ated", - "Ġsubmar ines", - "ĠJess ica", - "ĠS H", - "ep pe", - "P aul", - "Ġt ent", - "Ġhar ass", - "e ur", - "Ġsc hem", - "Ġpurs uit", - "Ġreserv oir", - "ĠAd ult", - "ĠMax well", - "ĠHerman n", - "ĠD ag", - "Ġtheore tical", - "v ian", - "ĠR ao", - "C omm", - "Ġproper ly", - "ĠFl ash", - "ĠNov el", - "ĠOl iv", - "igg ins", - "ĠProgram me", - "Ġconstant ly", - "clos ure", - "Ġfre ed", - "ĠR ules", - "ĠG astrop", - "Ġgather ing", - "ĠEP s", - "ĠGr ass", - "Ġrail ways", - "Ġ10 7", - "cl ub", - "Ġconf ron", - "Ġ183 1", - "f red", - "ĠLaw s", - "sh aw", - "Ġsac red", - "ĠCor on", - "ĠUC I", - "ĠS V", - "ĠV all", - "ĠH ave", - "se ct", - "Ġl ip", - "Ġtri ps", - "ĠVisc ount", - "ĠY ok", - "s burg", - "Ġcomp anion", - "amb o", - "ĠTit le", - "Ġdisp ers", - "Ġmeas uring", - "ĠM iy", - "ĠLa ur", - "arth y", - "f b", - "own er", - "ĠJ ets", - "ĠPr ussia", - "Ġal umin", - "Ġbe er", - "ĠHaw ks", - "ĠH ang", - "h ouses", - "Ġacc us", - "ĠComp ut", - "Ġ- -", - "Ġanth ology", - "ĠK od", - "ĠM oll", - "Ġdistingu ish", - "ĠK ob", - "W F", - "Ġboard ing", - "Ġrot ation", - "Ġconvers ation", - "Ġm ad", - "Ġp ig", - "ĠC over", - "Ġcust ody", - "Ġunve iled", - "Ġc od", - "iform es", - "ĠWh y", - "in ology", - "olog ically", - "Ġinvestig ations", - "ĠMoh ammed", - "ĠSant o", - "ĠC ay", - "R ep", - "ĠJ ob", - "ĠMalay alam", - "Ġ2018 19", - "Ġdo zen", - "Ġkilomet res", - "stru cted", - "whe el", - "Ġfe es", - "ce ae", - "Ġall ocated", - "ĠJeff rey", - "ĠM oor", - "ĠM amm", - "ĠJud a", - "ĠW ant", - "j ani", - "Ġcust oms", - "ĠRh y", - "ĠLe y", - "Ġproceed ings", - "ĠBulld ogs", - "bra him", - "ĠWeb b", - "ĠN ig", - "ĠK ane", - "ĠSim ilar", - "ĠQual ifying", - "Ġl ying", - "Ġwild life", - "Ġgame play", - "ĠOs aka", - "Ġed ges", - "ĠThom son", - "Ph il", - "cl iffe", - "ĠDub ai", - "Ġcomp rom", - "Ġ0 1", - "ĠDrag ons", - "Ġwat ched", - "agre b", - "cl air", - "Ġbul k", - "hard t", - "Ġg rain", - "ĠN um", - "Ġh itting", - "Ġrel uct", - "ĠZ ion", - "W R", - "Ġs its", - "ĠNam ib", - "ĠTim othy", - "en za", - "Ġinvol ve", - "ffbb bb", - "ĠMes a", - "Ġconsequ ence", - "Ġmat hematical", - "Ġcontest ant", - "Ġref uses", - "Ġm isc", - "ĠCast ro", - "s ay", - "Ġd iving", - "ĠNet flix", - "un i", - "ĠH i", - "Ġconqu est", - "ĠH ast", - "Ġly ric", - "Ġend angered", - "ir ical", - "ur ities", - "ues day", - "n u", - "ĠPhil harm", - "st en", - "al an", - "Ġdiscip line", - "habilit ation", - "Ġmo ist", - "ĠW ilm", - "Ġbre ed", - "Ġinstru ctions", - "Ġfavor able", - "ĠAtl as", - "Ġcommission er", - "Ġbox ers", - "Ġwe igh", - "Ġconv oy", - "ri que", - "Ġconsid ers", - "Ġdis abled", - "ĠJ as", - "Ġoppos ing", - "ĠChap man", - "ĠMichel le", - "ĠWe i", - "k el", - "Ġrec urring", - "ĠLis bon", - "ĠCase y", - "ad ia", - "her d", - "Ġst rat", - "Ġvic inity", - "ron ics", - "Ġup set", - "ĠCec il", - "R O", - "ĠN ou", - "Ġactiv ated", - "ari at", - "Ġcycl ists", - "ant o", - "atern al", - "Ġeduc ators", - "ĠSand y", - "ĠArchite cts", - "ĠT ah", - "ĠG ates", - "ĠHard y", - "ĠSh im", - "c ourse", - "act ers", - "Ġlegend ary", - "ĠR ost", - "Ġaccompl ished", - "Ġinstru ctor", - "Ġm i", - "Ġmin im", - "Ġcon ce", - "P art", - "ĠBu ilt", - "L O", - "ne ver", - "ĠS erg", - "w ill", - "fol io", - "Ġfl av", - "omet ime", - "ĠBar oque", - "Ġmechan isms", - "ĠTe legraph", - "Ġar ray", - "e per", - "Ġround ed", - "Ġcam eras", - "Ġup ris", - "Ġsl opes", - "Ġstep ped", - "ĠT ell", - "ĠMer ced", - "ĠR oland", - "Ġland mark", - "ĠStru cture", - "ro ft", - "io let", - "Ġtro ubl", - "Ġdis agre", - "ĠMot ion", - "Ġenc ourag", - "Ġdoct rine", - "clesiast ical", - "ĠP owers", - "ĠP ablo", - "Ġdeleg ation", - "ĠR ip", - "ĠFound ed", - "Ġam id", - "ĠA ce", - "b red", - "Ġpol ar", - "og l", - "Ġlim estone", - "ĠAl berto", - "ĠMarsh al", - "Ġc ub", - "ĠConc ord", - "Ġt et", - "Ġadv ised", - "ĠMong ol", - "play er", - "ĠL und", - "re cht", - "Ġpoor ly", - "ĠC ell", - "Ġcoll ision", - "Ġrank ings", - "ĠEmir ates", - "keep ers", - "Ġ18 25", - "P er", - "Ġ ion", - "Ġsit com", - "agon al", - "p el", - "gen eral", - "Ġabsol ute", - "ĠL arge", - "oph yll", - "ĠActress es", - "Q ue", - "Ġse al", - "ĠSene gal", - "il ogy", - "Ġmar ble", - "d ays", - "um ph", - "Ġcomm ittees", - "ĠUnivers iade", - "ĠF ri", - "ĠP ain", - "Ġgod s", - "Ġcur rency", - "ĠSher man", - "di ocese", - "ate ver", - "ott age", - "n ian", - "Ġj ack", - "abl ing", - "role um", - "ĠT oul", - "ĠPh oto", - "ĠS v", - "Ġc rack", - "ĠV ander", - "ĠSe eds", - "Ġre join", - "ĠLet ter", - "place ment", - "S D", - "Ġaut onomous", - "ass is", - "f ried", - "19 11", - "Ġh ol", - "Ġabsor bed", - "ĠStat istical", - "Ġdiscuss ions", - "ĠT aj", - "Ġab ortion", - "d ep", - "ĠR ally", - "ĠE ra", - "L ou", - "h orse", - "ĠIn ternal", - "ĠAct s", - "Ġpast or", - "Ġbow l", - "ĠQu artet", - "ĠLeop old", - "ĠInc umbent", - "ĠCal d", - "Ġex empt", - "ust ain", - "ant om", - "ĠOrig in", - "ĠSc and", - "ĠH undred", - "as aki", - "heim er", - "ĠRe be", - "ĠJan et", - "Ġsepar ately", - "Ġmon ks", - "Ġ18 14", - "Ġb attalions", - "w ings", - "Ġmanif est", - "ĠGeoff rey", - "ĠB oh", - "ĠTreas ury", - "ĠTre k", - "Ġcur ve", - "Ġagre ements", - "ĠI A", - "ĠFre eman", - "ĠT i", - "Ġn ose", - "G o", - "st ones", - "Ġsuburb s", - "Ġlog ic", - "Ġtrump et", - "as se", - "ĠP ole", - "ĠEty mology", - "ĠL ub", - "ĠNe gro", - "Ġw ake", - "Ġsuperv ision", - "ĠW er", - "ot al", - "ĠZ agreb", - "ĠJ iang", - "orient ed", - "ĠS uccess", - "Ġstrateg ies", - "Ġquestion ed", - "ast on", - "ĠFl oyd", - "ĠHam pton", - "Ġacc idents", - "ĠBad en", - "Ġundert aken", - "ĠH ank", - "Ġsk ating", - "Ġdirect ing", - "ĠK ras", - "ĠCatal ina", - "ĠS ales", - "am oto", - "Ġopt ical", - "on o", - "ĠI D", - "Ġcompris ed", - "Ġab stract", - "ĠCole man", - "ĠCom position", - "D ay", - "N R", - "ĠObserv atory", - "Ġob st", - "ĠPre mi", - "Ġhighlight ed", - "ym es", - "Ġproport ion", - "ar ance", - "j ee", - "ĠMarri age", - "Ġmater nal", - "rell a", - "Ġsustain able", - "ĠSch l", - "otyp es", - "ĠUnderg round", - "Ġvulner able", - "ĠMort on", - "erv ille", - "Ġfac ade", - "ĠRes ident", - "Ġcat aly", - "ĠD up", - "Ġjoint ly", - "inn aeus", - "mod ern", - "ĠPer iod", - "Ġrep airs", - "ĠCandid ates", - "ĠT ian", - "ĠPot ter", - "ĠComm od", - "art ime", - "ĠE rik", - "ik k", - "Ġprohib ited", - "Ġguar ant", - "Ġbad ly", - "ĠTunis ia", - "S L", - "Ġprem ises", - "ĠF let", - "ĠSt op", - "at u", - "Ġm ild", - "ĠD ock", - "ĠL uk", - "act or", - "Ġdef ine", - "Ġrul ers", - "ĠTaiwan ese", - "ĠBoy d", - "Ġequ ally", - "on ing", - "Ġconf usion", - "ĠGovern ors", - "at z", - "Ġs id", - "Ġleg ally", - "ĠIm age", - "im ity", - "Ġdist ant", - "oura ble", - "ĠG iven", - "ĠR CA", - "ĠE b", - "ĠCamb odia", - "ĠFergus on", - "Ġdiagn osed", - "Ġmanufact ure", - "op y", - "Ġconsid eration", - "ok i", - "ĠCom ic", - "z burg", - "Ġtw entieth", - "er ick", - "Ġeth n", - "ĠAud io", - "Ġest imates", - "Ġillust rations", - "ĠW an", - "al ore", - "ĠPatri ots", - "qu is", - "Ġcon g", - "Ġbatter ies", - "end e", - "Ġtour ists", - "Ġant ib", - "ĠUC LA", - "ĠPo ems", - "ĠGu adal", - "Ġun e", - "are z", - "ĠCitiz ens", - "ll i", - "Ġtr igg", - "ĠTerm inal", - "ĠH utch", - "ĠC ret", - "Ġin ches", - "ĠHels inki", - "ĠG ut", - "ĠA G", - "Ġal phabet", - "ĠManufact uring", - "Ġvol t", - "sh ot", - "f i", - "et hel", - "ag ogue", - "Ġ2017 18", - "Ġhorizont al", - "ra z", - "ĠJ ah", - "Ġn urse", - "ĠCzechoslovak ia", - "Ġreb el", - "ĠChar acters", - "Ġcruc ial", - "power ed", - "Ġhum or", - "utt gart", - "k l", - "Ġpre val", - "M ad", - "Ġcon ve", - "Ġ10 8", - "15 0", - "am ar", - "ĠIn sects", - "rib e", - "Ġintro duce", - "Ġdec ree", - "ĠM und", - "th al", - "Ġun con", - "im ar", - "ell es", - "Ġn an", - "ĠTrib une", - "ĠBo at", - "Ġpropag anda", - "ĠP M", - "ĠBox ing", - "rew s", - "ĠFeat ure", - "ĠS leep", - "ĠU NE", - "ĠC IA", - "ĠAssoci ated", - "ĠZ ar", - "ĠGonz lez", - "Ġexhib its", - "Ġm a", - "ĠSid ney", - "Ġnational ist", - "Ġprob ability", - "Ġadv ocated", - "ĠM iz", - "ĠC ult", - "Ġout come", - "Ġ10 9", - "row span", - "Ġcrown ed", - "ĠL ima", - "Ġvac ant", - "ĠGard ner", - "Ġauth ored", - "ĠMikh ail", - "cc ffcc", - "ĠConc erto", - "Ġlov ed", - "Ġev ident", - "orm s", - "Ġ18 28", - "Ġg amb", - "ĠEuro pa", - "s up", - "ĠN ames", - "ĠK C", - "ĠAlexand ra", - "ĠRebe cca", - "d ad", - "ĠParad ise", - "ĠKle in", - "ĠS uns", - "ĠK ai", - "ĠMad onna", - "Ġoverw hel", - "Ġn avy", - "ĠJ ourney", - "ĠSic ily", - "Ġrev ision", - "Ġrecre ational", - "ĠCont rovers", - "ĠY as", - "ĠH ew", - "Ġagre es", - "rit ion", - "Ġep ic", - "Ġpoll ution", - "Ġrecon c", - "Ġbra ck", - "ĠAv iv", - "elf th", - "ĠAl leg", - "ĠM ys", - "Ġh ide", - "ĠT yr", - "merc ially", - "ĠL iz", - "led on", - "Ġeight een", - "Ġoff ense", - "Ġo ak", - "w omen", - "ĠWik ipedia", - "aff e", - "Ġ9 00", - "ĠVolunte er", - "Ġher b", - "ĠPr ide", - "ĠH uss", - "Ġmamm als", - "ĠDar win", - "ĠHum ph", - "iat us", - "n ov", - "udd in", - "Ġ18 10", - "lo o", - "Ġpred icted", - "ĠMar athon", - "ĠR oma", - "ann ah", - "Ne ill", - "is se", - "Ġdr ives", - "Ġco ok", - "ĠMon ter", - "Ġ[ ...]", - "ĠPsych ology", - "ĠPhilip pe", - "arg est", - "ĠG ius", - "A D", - "and an", - "Ġknock out", - "op us", - "Ġdes ired", - "Ġpen insula", - "ansk rit", - "fic ial", - "on ato", - "Ġsc orer", - "ĠLe one", - "Ġmem oir", - "p ot", - "Ġw ww", - "ion ed", - "Ġmat ure", - "op l", - "ph ys", - "Japan ese", - "Ġd imensions", - "ĠEast er", - "Ġsub family", - "ĠB io", - "cl ip", - "ĠAntar ctica", - "est ock", - "ĠLo ok", - "Ġpay ments", - "ĠHe y", - "ĠMay a", - "ĠH yp", - "Ġb ills", - "ĠS I", - "Ġbar on", - "Ġcl erk", - "ĠCon fl", - "iling ual", - "Ġspect rum", - "ath lon", - "H O", - "et ter", - "ĠZ ero", - "ĠBel t", - "Ġf ights", - "Ġap olog", - "ĠC risis", - "Ġphysic ist", - "p res", - "Ġorient ation", - "vi ated", - "Ġun w", - "Ġra w", - "Ġbas ement", - "ĠCat alog", - "ĠSt rike", - "ĠCl oud", - "Ġphys ically", - "s ix", - "Ġreserv ed", - "ĠBe au", - "Ġprom ise", - "ĠSl am", - "ent on", - "ĠB ess", - "ĠAppl ied", - "ĠD uchy", - "ĠAlger ian", - "ĠL anguages", - "establ ished", - "Ġb ag", - "ĠCap t", - "m ag", - "ĠR iley", - "Ġinnov ative", - "Ġdeleg ates", - "Ġdeter ior", - "ov ed", - "Ġac claimed", - "Ġsn ake", - "ĠJen kins", - "ĠH ip", - "Ġdisapp oint", - "R ed", - "ĠM ini", - "Ġtr im", - "ĠM ast", - "T ur", - "Ġreop ened", - "ĠS ikh", - "ĠHam mer", - "ĠSt ring", - "Ġvirt ually", - "ĠH ul", - "Ġsc attered", - "ĠBelarus ian", - "Ġbo ost", - "ĠH our", - "ĠRo x", - "ian i", - "Ġaccident ally", - "ĠChen nai", - "ĠPr int", - "T r", - "Ġfe eding", - "Ġad equ", - "ig raph", - "ĠDeuts che", - "ep s", - "Ġf ract", - "Ġde ceased", - "Ġperform s", - "ĠMy stery", - "ĠT ucker", - "u en", - "ĠD ial", - "in ks", - "it ated", - "ĠR ash", - "Ġfacilit ate", - "Ġro okie", - "Ġhot els", - "if inal", - "Ġarg uing", - "ĠPri est", - "ĠPr ussian", - "Ġfl ute", - "Ġdep ot", - "Ġbul let", - "p he", - "Ġemb arked", - "ĠM ih", - "ĠDe port", - "Ġr ushing", - "ĠW ins", - "ĠMad ras", - "ĠY i", - "ĠDet ective", - "Ġcount s", - "arri e", - "Ġh oles", - "Ġbr ut", - "Ġcerem onies", - "ar b", - "ĠW en", - "ĠAcadem ics", - "Ġl ac", - "ĠD res", - "Ġant iqu", - "R ussian", - "e er", - "ĠR NA", - "Ġiniti atives", - "Ġd ent", - "w ana", - "ĠL pez", - "Ġsw ing", - "ĠEpis odes", - "Ġ18 24", - "Ġd inner", - "ĠConf ederation", - "Ġaccess ed", - "T E", - "ĠCon rad", - "Ġo re", - "ĠV ocal", - "ĠEv olution", - "Ġe ating", - "ĠC otton", - "Ġremov ing", - "ĠV y", - "Ġox id", - "P al", - "ĠConstantin ople", - "ĠB ash", - "ĠN om", - "Ġto b", - "Ġmedal ist", - "Ġ11 5", - "ĠB le", - "Ġrespons ibilities", - "ĠAsh ley", - "Ġinter ven", - "ort e", - "Ġpar ad", - "ĠFull er", - "ĠAfter math", - "ĠTol edo", - "Ġst int", - "Ġsim ul", - "ĠM its", - "ĠD uk", - "fortun ately", - "ip el", - "Ġatt ribut", - "ĠN un", - "Ġlin er", - "Ġneigh b", - "is or", - "ĠAnim ation", - "ĠBe auty", - "om al", - "Ġb ones", - "ĠLiber t", - "ĠField s", - "ĠJ ub", - "ĠMid land", - "ĠK ais", - "h ow", - "ĠPl ain", - "p i", - "uc ci", - "Ġflag ship", - "ue b", - "Ġest imate", - "at ur", - "Ġinn ovation", - "Ġspons orship", - "U p", - "Ġmemb rane", - "ĠPh yll", - "ĠD ixon", - "g s", - "aw k", - "t ailed", - "Ġem igrated", - "ĠCh amp", - "Ġcl uster", - "Ġqu arters", - "Ġf inger", - "ĠD ors", - "Ġmarg inal", - "t re", - "ĠF ashion", - "Ġs aint", - "Ġspons or", - "ĠM ell", - "com be", - "Ġaccompany ing", - "Ġtrain er", - "Ġarg ue", - "Ġ18 29", - "ĠM VP", - "Ġs ab", - "sh ine", - "Ġaut o", - "ĠF ear", - "ĠPer cy", - "Ġp ine", - "Ġr ider", - "w ara", - "k al", - "ĠCampe onato", - "ĠRec ogn", - "Ġimp ression", - "Ġ11 1", - "Ġag gressive", - "haus en", - "Ġstab il", - "le en", - "ber ra", - "osp ace", - "ethel ess", - "c olle", - "Ġdep ends", - "ĠRecre ation", - "Ġ q", - "Ġpen et", - "ĠChrist ine", - "Ġpl anted", - "ĠPh ase", - "fore st", - "ĠK O", - "ĠHel ena", - "ist ence", - "Ġind irect", - "Ġsens itive", - "ĠTrad itional", - "ĠSt a", - "du ctive", - "ĠHon our", - "Ġh ook", - "Ġexplan ation", - "Ġlif estyle", - "Ġm ud", - "ĠIntro duction", - "Ġ2019 20", - "Ġcon ceived", - "ĠStrateg ic", - "ĠGeorg etown", - "Ġknock ed", - "Ġtro phy", - "Ġsynthes is", - "Ġsett ings", - "ĠC ologne", - "Ġresc ued", - "r ug", - "ĠCon vers", - "ĠK olk", - "Ġl over", - "ĠAugust us", - "Ġir regular", - "Ġform ats", - "ĠAndre as", - "ĠGaz ette", - "ĠBron cos", - "ph oon", - "ĠSoph ie", - "on ed", - "ĠClass ification", - "Ġ2016 17", - "ĠM og", - "ĠT itan", - "ĠH arri", - "ĠL ibr", - "af a", - "ĠRom ans", - "ĠGl ad", - "he e", - "ĠCo ch", - "ĠMon ica", - "Ġworks hop", - "ill iant", - "Ġunder lying", - "Ġexpl ored", - "ĠSlov enian", - "ĠSh u", - "ĠBomb ay", - "ĠW imb", - "ĠCons ult", - "ĠPort rait", - "Ġdim in", - "ĠSil ent", - "ĠEx eter", - "v ine", - "ĠI X", - "ĠC umberland", - "Ġconc urrent", - "ĠLin ux", - "ĠR ough", - "add le", - "ĠKash mir", - "ĠOrig ins", - "Ġhypothes is", - "Ġv ig", - "Ġar ist", - "ĠSch ne", - "ĠS ue", - "ĠBerg en", - "ĠJack ie", - "ĠR ise", - "ĠD ip", - "Ġ\" ...", - "ĠWhit ney", - "ĠL ives", - "bour g", - "Ġc ro", - "Ġsc ales", - "ĠAng ola", - "ĠLe af", - "Ġancest ry", - "H ow", - "ĠC ivic", - "bb ffbb", - "s il", - "Ġimport ed", - "Ġfin anc", - "as o", - "ĠTor res", - "il ateral", - "ĠV ald", - "Ġmiss iles", - "Ġprox imity", - "an as", - "ĠH ak", - "'' '", - "Ġc ere", - "th is", - "Ġres ided", - "ĠV augh", - "ĠV es", - "g irl", - "v ich", - "ĠHann ah", - "Ġan at", - "Ġgr ay", - "ĠHart ford", - "ĠRud olf", - "Ġdis puted", - "as ma", - "Ġprov en", - "Ġcomp at", - "Ġrein force", - "od ium", - "Ġsub stance", - "atern ity", - "Ġprotest ers", - "ĠAnd hra", - "Jew ish", - "Ġkind s", - "un ter", - "om bo", - "b ol", - "Ġtransl ations", - "Ġrend ered", - "Ġcert ificate", - "= |", - "ĠBuck ingham", - "Ġt uber", - "Ġemb assy", - "ĠFlet cher", - "ĠR ising", - "ond u", - "ĠM ud", - "att i", - "ĠG A", - "it as", - "ĠY ard", - "er re", - "Ġcateg or", - "ĠB ard", - "Ġhum id", - "C onn", - "ew ise", - "ĠAnn iversary", - "Ġst air", - "Ġrecon naissance", - "ged y", - "T R", - "Ġdif f", - "ĠT et", - "Ġveter ans", - "aw ks", - "ed uc", - "ĠP GA", - "Ġpron ounced", - "os o", - "it ively", - "Ġcast ing", - "Ġ18 21", - "ran ger", - "at ial", - "ĠNor wich", - "ĠJoy ce", - "ĠPatri arch", - "Ġtherm al", - "ĠV and", - "Ġunsuccess fully", - "are l", - "ĠH omer", - "Ġ18 26", - "ĠProdu cts", - "M en", - "ĠD olph", - "cl amation", - "ĠD ion", - "Ġax is", - "ĠIss ue", - "om as", - "Ġsal ary", - "el ly", - "ĠPl ains", - "ĠAl pine", - "Ġopen ly", - "ĠSh ak", - "Brit ish", - "Ġb eds", - "ĠE ar", - "Ġprevent ing", - "ĠBur ma", - "ĠLig ue", - "Ġsub urban", - "Ġendors ed", - "ĠCh rys", - "Ġcoordin ator", - "Ġpostpon ed", - "ĠShe ikh", - "pl ant", - "ĠSt uttgart", - "ĠM Hz", - "Ġk iss", - "act ic", - "ĠProv ision", - "ĠP ond", - "ĠEm bass", - "ĠBol ton", - "ĠPl us", - "ort ic", - "ĠSeg unda", - "Ġhuman ity", - "Ġab olition", - "Ġse ctors", - "ĠI L", - "Ġass ert", - "Ġra ids", - "ĠG unn", - "ĠB otan", - "% ).", - "erv ation", - "ĠM ets", - "Ġr ises", - "Ġl ady", - "ĠBeat les", - "ĠQu inn", - "he ed", - "g ree", - "Ġfound ations", - "ĠOut side", - "ĠFle m", - "Ġsurrend ered", - "ĠGius eppe", - "ĠFl ower", - "unt ing", - "Ġphys icians", - "uzz le", - "lik ely", - "H ar", - "ĠNic olas", - "Ġ2012 13", - "htt p", - "ĠC rom", - "Ġdet ective", - "Ġille g", - "Ġent ities", - "i ate", - "Ġdisp utes", - "ĠSut ton", - "Ġelim ination", - "ĠN ixon", - "ĠMiddles ex", - "Ġ11 2", - "ĠS iege", - "ine es", - "Ġd ressed", - "Ġnecess arily", - "ĠToy ota", - "Ġbre ath", - "ĠE va", - "im ation", - "ĠR ag", - "ip linary", - "Ġinter fer", - "op t", - "Ġtra ils", - "P G", - "Ġ( #", - "ĠL och", - "Ġt ension", - "ĠTo o", - "Ġ18 13", - "ĠT rial", - "ĠS ally", - "Ġd ense", - "ĠSw ift", - "ind ers", - "Ġarch ives", - "ht ml", - "Ġge ographical", - "ĠRe e", - "Ġpreced ing", - "ĠRe bell", - "Ġit em", - "ĠSt rait", - "Ġcycl ist", - "s z", - "t ures", - "Ġk ids", - "Ġver b", - "P ac", - "p al", - "s eries", - "ĠR ust", - "Ġb le", - "ĠB ug", - "ĠDr ug", - "Ġr ings", - "c ue", - "p is", - "Ġa rose", - "ĠHur ling", - "ĠBatt les", - "ĠB onn", - "ĠTre vor", - "ĠC ran", - "Ġp av", - "ĠHy der", - "ank ar", - "n orth", - "Ġswim mer", - "ĠIm port", - "V C", - "Ġmem ories", - "ĠGovernor ate", - "ĠHam mond", - "ĠS ale", - "ĠSup erman", - "ĠCan berra", - "Ġcouncill ors", - "u um", - "ĠNe o", - "Ġartif acts", - "Ġmerch ants", - "ĠB oss", - "ĠL LC", - "or ic", - "Ġarg uments", - "Ġm oon", - "Ġg ates", - "Ġbond s", - "ĠK oz", - "ĠHol ly", - "Ġgovern ors", - "Ġtr ucks", - "ĠAngel a", - "ĠNord ic", - "Ġconsider ably", - "Ġchalleng ing", - "Ġhold er", - "Ġas ide", - "Ġr amp", - "Ġbomb s", - "em ia", - "ĠX avier", - "du ct", - "ĠHeart s", - "ĠGib ral", - "Ġrespons es", - "an ch", - "ĠH aj", - "ĠCo aching", - "ĠCh ak", - "ĠLat vian", - "ens ed", - "f ts", - "ull a", - "ĠUS C", - "in ese", - "ĠPre viously", - "og ene", - "Ġe ar", - "ĠD owntown", - "ĠCher ry", - "ist on", - "ĠDream s", - "Ġless er", - "Ġobtain ing", - "Ġec osystem", - "he ars", - "Ġdire ctions", - "ĠR w", - "Ġcre am", - "ĠTeh ran", - "iffer ent", - "A b", - "ĠH M", - "ĠLib ya", - "Ġreview er", - "Ġin land", - "ac io", - "Ġdemonst ration", - "Ġprin cess", - "ib ald", - "Ġind ie", - "ce ster", - "ĠBer ks", - "Ġem issions", - "land ers", - "ĠInvest ig", - "ĠAlb ion", - "Ġelder ly", - "itor ium", - "y th", - "Ġb alls", - "ĠHor iz", - "Ġ2013 14", - "ograph s", - "ĠI brahim", - "ĠV inc", - "Ġ >", - "ĠK amp", - "Ġout lets", - "Ġch a", - "itt ers", - "Ġeval uation", - "ĠCal ed", - "Ġtact ics", - "ĠC el", - "lo aded", - "ĠWimb ledon", - "ĠParagu ay", - "Ġmob il", - "Ġgastrop od", - "ar ound", - "ĠEven ing", - "h of", - "Ġc ryst", - "Ġcontra cted", - "is ive", - "Ġinvent or", - "ĠB ri", - "ĠT act", - "id y", - "Ġeconom ist", - "Ġmechan ics", - "yl on", - "ĠJuda ism", - "hood s", - "Ġcouncil s", - "el ic", - "Ġapart ments", - "Ġpubl ishers", - "ĠC SS", - "Ġlong time", - "Ġpre f", - "m ay", - "ĠJose f", - "d ong", - "Ġpolit ically", - "Ġt onn", - "ĠT ud", - "ven ile", - "Ġte lev", - "Ġcl im", - "Ġun ited", - "Ġcolle ctor", - "Ġsy ll", - "ĠMay ors", - "ĠP ag", - "ĠNob le", - "ĠPhill ies", - "Ġclimb ing", - "ĠDavid son", - "en stein", - "Ġ3 000", - "N ational", - "Ġwitness es", - "ĠS iber", - "Ġin fer", - "Ġbutter fly", - "ĠDe e", - "ĠColle ctions", - "ant is", - "Ġdis pos", - "Ġr h", - "o qu", - "ĠEmp ress", - "ĠRest aur", - "ĠChe shire", - "ellig ent", - "Ġnatural ly", - "Ġdef unct", - "ĠAdv ance", - "Ġinv itation", - "ĠCare y", - "ĠBrit t", - "ĠSch midt", - "ol ades", - "ĠCauc as", - "Ġnav igation", - "190 8", - "Ġf ier", - "ĠWeb ster", - "ĠR ule", - "Ġfa ult", - "ĠP ied", - "ĠY ak", - "Ġkn ight", - "ĠChe v", - "Ġdon ations", - "Ġen hanced", - "t ail", - "ĠSe venth", - "Ġsuccess ive", - "ĠF i", - "Ġ icon", - "ĠV ery", - "Ġprote cting", - "al bum", - "ew ard", - "Ġconsist ently", - "Ġfil ter", - "ĠCr im", - "Ġcir cles", - "U R", - "Ġspe aks", - "ĠParam ount", - "io x", - "Ġ17 58", - "Ġt aste", - "anth a", - "Ġsn ail", - "ray ed", - "N L", - "id ian", - "r ays", - "Ġrev olt", - "art on", - "Ġtra iler", - "je ctions", - "ĠOrgan isation", - "Ġrecommend ations", - "Ġpartn ered", - "Ġam end", - "iz ers", - "ell ation", - "ha o", - "ĠF ro", - "Ġpresent ing", - "Ġposthum ously", - "Ġtob acco", - "ĠEl ite", - "Ġce iling", - "ĠN H", - "Ġcertain ly", - "Ġpregn ancy", - "ĠG os", - "Ġexam ined", - "ĠOm aha", - "Ġhealth y", - "Ġdet ection", - "Ġcalcul ated", - "ĠHass an", - "ĠP apers", - "Ġconv iction", - "ĠIceland ic", - "ĠH ours", - "Ġcom mercially", - "ĠV ia", - "Ġroll ing", - "ĠVal encia", - "Ġadv ancing", - "ĠBh ar", - "m ud", - "P D", - "ĠKn ock", - "Ġa mp", - "part y", - "Ġdemonstr ate", - "Ġvel ocity", - "rg uez", - "190 9", - "ĠZ ach", - "Ġdep ictions", - "ĠPre z", - "ĠNic arag", - "Ġdestro ying", - "Ġdecl aration", - "Ġenter prise", - "ĠA us", - "Ġpar ade", - "ĠC ars", - "ĠBas ic", - "ĠW ade", - "Ġbl ow", - "ĠPhot ography", - "per m", - "ĠPier ce", - "h uman", - "ocol ate", - "ĠMy th", - "ĠUNE SCO", - "Ġnurs ing", - "Ġalt ar", - "ĠCh u", - "ĠF ow", - "ĠEmbass y", - "d rama", - "Ġg entle", - "c ience", - "c ence", - "ĠD ise", - "ĠAn s", - "c amp", - "Ġ2014 15", - "ĠEl s", - "Ġdestro yer", - "Ġpres um", - "wer p", - "ĠC hern", - "ĠP ok", - "Ġlast ing", - "Ġsee ks", - "Ġt ap", - "ĠInvest ment", - "Ġlo ans", - "D en", - "ĠShar on", - "ĠCO N", - "ĠAn imated", - "Ġprior ity", - "ĠCar son", - "Ġunder go", - "Ġdeploy ment", - "A nt", - "ĠT uesday", - "Ġconsum ers", - "Ġachie ving", - "Ġmar itime", - "Ġhigh lights", - "oph ys", - "ĠRes ort", - "ĠT uc", - "Ġb omber", - "ĠPer forming", - "al om", - "ĠD iplom", - "ĠM ate", - "Ġv ault", - "g ent", - "ĠMun ster", - "Ġread er", - "Ġde an", - "ĠOcc up", - "Ġf o", - "ĠP ie", - "ĠPar ade", - "B R", - "v oy", - "ar f", - "ĠL us", - "oc ide", - "ĠBry ant", - "ul ates", - "ary a", - "ĠM orm", - "Ġpl ural", - "ĠV ul", - "ĠD unn", - "c ross", - "y i", - "ĠRod rguez", - "ĠMaced onian", - "ĠLe igh", - "ĠNic ol", - "ok en", - "av el", - "Ġcycl one", - "ĠVat ican", - "ĠB it", - "ĠCar men", - "ĠTun nel", - "Ġgeomet ry", - "Ġc ass", - "s im", - "ĠU d", - "ap or", - "Ġ17 90", - "Ġcontinu ously", - "Ġrect angular", - "Ġvol cano", - "ĠS ach", - "ĠMoh amed", - "att y", - "ars ity", - "Ġs or", - "Ġcost ume", - "Ġdef ic", - "song writers", - "Ġcell o", - "Ġorgan ize", - "ur ia", - "ch id", - "ĠE van", - "ĠCle m", - "e xt", - "ĠA ug", - "Ġm aj", - "ou b", - "ĠH yd", - "Ġp el", - "ip es", - "ott i", - "Ġd ys", - "ĠSix th", - "Ġequ ality", - "Ġing red", - "ĠAppe al", - "P ol", - "edd ed", - "Ġmill ions", - "ĠK ens", - "ĠMar ina", - "g ren", - "Ġcommand ers", - "Ġa us", - "om eter", - "ĠSe p", - "ul ia", - "arn a", - "Ġt rick", - "en ko", - "Ġ18 18", - "um ann", - "T O", - "t itled", - "Ġthe aters", - "O ld", - "R NA", - "Ġst arter", - "ĠK atherine", - "ĠT ill", - "Ġ2011 12", - "ĠKolk ata", - "ĠV ed", - "ib an", - "Ġnarrow ly", - "Conn or", - "Ġfrag ments", - "ĠJoh an", - "ĠS anskrit", - "om ers", - "Ġaud ition", - "Ġtest imony", - "ĠZh u", - "ĠT D", - "Ġm ask", - "ĠPat rol", - "Ġer rors", - "ĠSyn opsis", - "ĠGuj arat", - "Ġ2015 16", - "ĠSand ers", - "Ġbat ted", - "Ġpur ple", - "Ġplan es", - "Ġmole cules", - "ĠPort o", - "ĠSol id", - "ĠSt ad", - "Ġc ord", - "Ġsl ot", - "om ore", - "ĠGal axy", - "en b", - "Ġall ied", - "ĠArab ian", - "ins ki", - "ĠN O", - "Ġbound ed", - "Ġvol canic", - "ĠLoren zo", - "og h", - "ĠGibral tar", - "Ġgu ided", - "Ġpromin ence", - "ĠInn ovation", - "Ġf us", - "ind ed", - "ĠShir ley", - "yl ogen", - "Ġcomment ator", - "Ġneighborhood s", - "ĠGe ographic", - "Ġ18 22", - "ĠAll Music", - "ĠB olog", - "Ġf iscal", - "ĠSumm ary", - "Ġurg ed", - "ĠM ining", - "F amily", - "ĠPart ners", - "Ġhar bour", - "Ġn ights", - "en ov", - "ĠSt ro", - "Ġvaria bles", - "ĠN ut", - "ver age", - "r ut", - "ĠBro w", - "ĠWander ers", - "ĠVij ay", - "ier re", - "omm ission", - "ĠClub e", - "Ġwarn ed", - "Ġs aving", - "ĠTownship s", - "ĠWhe el", - "Ġqu it", - "Ġt une", - "ĠD uck", - "ĠV or", - "Ġgl ob", - "ĠZ ur", - "Ġski ing", - "ĠWin chester", - "Ġcinem at", - "ĠCly de", - "ab s", - "ĠHon ors", - "Ġremark able", - "L et", - "rib le", - "Ġam endment", - "ri ot", - "ĠIr ving", - "Ġf are", - "Ġcontroll ing", - "ĠD ust", - "an us", - "Ġfle e", - "Ġo dd", - "ĠSt ir", - "ĠB ram", - "ĠHa iti", - "Ġfact ories", - "L D", - "f und", - "Ġpro claimed", - "Ġlater al", - "Ġth read", - "ĠIniti ative", - "ĠKu wait", - "ĠSh ot", - "ĠMap le", - "Ġle ather", - "Ġmeasure ment", - "ĠMoroc can", - "ram id", - "Ġautom obile", - "al and", - "ĠG ov", - "ĠScand in", - "Ġhar sh", - "Ġhect ares", - "pl er", - "Ġp orn", - "ĠCh ambers", - "Ġintro ducing", - "ert ation", - "ĠEld er", - "ford shire", - "Ġtrad em", - "ĠPet erson", - "Ġbelie ving", - "is eries", - "ograp hed", - "n ational", - "mer e", - "t el", - "re ens", - "ĠO v", - "Ġ! !", - "Ġprofessional ly", - "ĠAr lington", - "D r", - "asc ular", - "Ġfoss ils", - "ĠIb n", - "a uth", - "Ġne ur", - "Ġviol ation", - "ĠSh ane", - "Ġco oking", - "anc o", - "ĠT ac", - "ĠSav age", - "Ġloc als", - "iss ued", - "Ġt ickets", - "ĠP aw", - "ham pton", - "ew ater", - "ĠCle ar", - "ĠKun st", - "et us", - "n umber", - "d et", - "ĠA ster", - "Ġaccount ing", - "ĠL C", - "Ġcompl ications", - "ĠG le", - "ĠMcC arthy", - "a ise", - "us z", - "Ġprosec ution", - "Ġst amp", - "ĠEthiop ian", - "p se", - "ĠT ale", - "ĠRe x", - "Ġ18 16", - "ĠZ am", - "Ġaccommod ation", - "Ġobject ives", - "Ġdr unk", - "be it", - "g ood", - "G old", - "ĠVik ings", - "Europe an", - "ĠGl ory", - "ĠM ole", - "Ġde alt", - "ĠPhill ip", - "Ġsc out", - "Ġprop ri", - "ĠM IT", - "r il", - "ĠInvest igation", - "Ġdeg rad", - "ĠBull s", - "ĠRe ad", - "ĠGo als", - "Ġb arn", - "Ġcarri ers", - "Ġcompar able", - "ĠH ear", - "Ġmaster ing", - "ĠCh arg", - "Ġcompl aints", - "Ġfort une", - "ĠEth nic", - "ĠMerced es", - "ĠColle giate", - "z ens", - "Ġsp elled", - "ĠAub urn", - "s son", - "Ġinher it", - "te au", - "head s", - "Ġspot ted", - "Ġrecre ation", - "ĠP up", - "Ġfresh man", - "football er", - "Ġorganiz ing", - "ĠClare nce", - "ĠH app", - ") (", - "Ġir rig", - "ĠK ee", - "strument al", - "Ġc ivic", - "Ġadvoc acy", - "M on", - "190 5", - "ĠWill is", - "olith ic", - "S an", - "ĠTibet an", - "ĠSp ot", - "Ġgall eries", - "Ġelectron ics", - "ĠHawai ian", - "ĠG C", - "ĠLam bert", - "ne ys", - "ĠG el", - "ĠNew ark", - "ĠSh arp", - "ĠMc Le", - "ember g", - "Ġover th", - "ri ka", - "ĠDaw son", - "yn es", - "Ġ umb", - "so ver", - "190 7", - "R eg", - "ĠAt hen", - "ĠG M", - "um ble", - "ĠPhilharm onic", - "en heim", - "ĠMet ac", - "H ol", - "Ġdisc ipl", - "ĠF ischer", - "Ġp enn", - "ĠR oster", - "occ up", - "Ġ2020 21", - "s chool", - "ĠG arn", - "Ġg ly", - "Ġch ains", - "Ġvers es", - "ĠMon ster", - "Ġfl ies", - "ĠAm anda", - "Ġt ong", - "ĠL j", - "Ġtrust ees", - "ĠB ates", - "Ġw ishes", - "ard y", - "Ġhar vest", - "ĠBe autiful", - "ĠBrig adier", - "ĠB old", - "Ġproceed s", - "Ġspr int", - "air d", - "Ġtru ly", - "ack ing", - "ĠC z", - "Ġsup ern", - "Ġair ports", - "Ġaccur acy", - "ĠCred its", - "ig u", - "Ġorgan isms", - "ĠLind say", - "Ġleng ths", - "ĠShe ll", - "al ong", - "Ġcare ers", - "ĠPoly techn", - "Ġw artime", - "t w", - "ĠS iles", - "ĠM aking", - "Ġupris ing", - "ĠT ou", - "ĠS ustain", - "ĠX in", - "Ġlack ed", - "p ark", - "miss ions", - "ĠDund ee", - "ven ues", - "Ġ ell", - "ĠW ave", - "Ġcert ification", - "ĠIn ner", - "ĠAg nes", - "K ing", - "ĠTh ing", - "ĠM k", - "ĠLand s", - "es i", - "Ġover come", - "ĠB enson", - "Ġgovern ance", - "ĠL O", - "Ġsquad rons", - "ĠDerby shire", - "Ġt ar", - "ĠAg ent", - "Ġob vious", - "ĠN iz", - "Ġequ ity", - "ĠMatthew s", - "k ie", - "ĠH in", - "ĠHu ang", - "ich ael", - "ĠM ller", - "ig ger", - "urg ical", - "am en", - "ĠF ol", - "Ġmet er", - "ĠTerrit orial", - "Ġadvis ory", - "ĠMong olia", - "Ġmir ror", - "th on", - "Ġle ased", - "Ġcorrespond ent", - "ĠI ch", - "on el", - "ĠH os", - "ĠTim eline", - "ĠCorn el", - "Ġ18 27", - "Ġprov ider", - "ĠC od", - "ĠAnd roid", - "or rect", - "ĠDe leg", - "ĠEv il", - "ili ation", - "ĠPol bot", - "Ġl aser", - "Ġdevelop s", - "ĠPract ice", - "Ġdo ctoral", - "Ġterm inated", - "m ese", - "ĠL ope", - "Ġvacc ine", - "ie g", - "ub ble", - "Ġw it", - "Ġtraff icking", - "Ġnot ion", - "Ġrad i", - "Ġinv ested", - "ĠClay ton", - "unt a", - "ĠF ry", - "nt y", - "Ġser ver", - "n ar", - "Ġto uc", - "ron es", - "ĠTra cy", - "ĠEd en", - "ĠGl oria", - "ĠA ve", - "Ġdet ected", - "Ġrefle cts", - "ĠT ort", - "Ġro d", - "Ġint act", - "ĠF ram", - "Ġelabor ate", - "ĠG ob", - "U T", - "ĠMic key", - "Ġb arrier", - "ĠS W", - "Ġrub ber", - "pl aced", - "Ġl ens", - "ĠT ap", - "ĠW are", - "ri z", - "Ġsurve illance", - "B el", - "Ġpen alties", - "ĠSt oke", - "Ġc ater", - "ĠW yn", - "Ġfinal ist", - "w on", - "oc aly", - "Ġpreced ed", - "ĠFal con", - "Ġcont ents", - "Ġtas ked", - "ĠCun ning", - "ĠAbb as", - "Ġappre ci", - "ĠC M", - "ĠBudd ha", - "ĠDev ils", - "Ġsp ur", - "ĠReview s", - "Ġcomput ing", - "Ġp ipe", - "Ġsol ve", - "Ġenl arged", - "ĠBuch arest", - "ĠS eth", - "Ġce ase", - "Ġst rain", - "ĠTit ans", - "Ġext ract", - "pl us", - "l ate", - "ul in", - "Ġaccept ance", - "Ġcompl icated", - "ĠH ollow", - "le cted", - "ĠDud ley", - "b gcolor", - "Ġ202 122", - "Ġt a", - "Ġsub stitut", - "ic ol", - "ĠAbd ullah", - "ĠGhana ian", - "i ew", - "ĠGand hi", - "S M", - "Ġcom merce", - "an ions", - "Ġavail ability", - "Ġsecret ly", - "j ord", - "ĠEx c", - "ĠOl ive", - "ĠHy de", - "unn els", - "ĠTai pei", - "Ġpro jected", - "ĠP ill", - "ĠAl ps", - "190 6", - "oura ge", - "od yn", - "Ġwal ks", - "Ġsp ite", - "Ġstrugg les", - "Ġdis k", - "Ġmod est", - "vo iced", - "Ġconscious ness", - "ĠM ons", - "Ġ2010 11", - "N O", - "ĠEm manuel", - "otyp ic", - "ĠI ber", - "if olia", - "ropol is", - "Ġcorrespond ence", - "Ġovers ee", - "Ġn ave", - "Ġd rown", - "Ġcon vey", - "Ġin quiry", - "ĠJ et", - "Ġs oprano", - "ĠThe ological", - "it ian", - "is o", - "es que", - "ĠJ h", - "ĠJama ican", - "Ġ11 3", - "Ġs ends", - "Ġrec ount", - "Ġam alg", - "Ġwitness ed", - "ĠM ist", - "n ick", - "Ġgradu ates", - "Ġres olved", - "ĠPra irie", - "Ġinv aded", - "child ren", - "its u", - "Ġl ith", - "Ġsus pect", - "Ġcru ise", - "Ġ\" \"", - "ĠK ak", - "E G", - "ad ic", - "Ġscreen ed", - "Ġchart ed", - "Ġ18 19", - "ĠPatt erson", - "ĠTra cks", - "ĠP erm", - "ĠN est", - "Ġfund ra", - "ĠM B", - "ĠIn ver", - "Ġ180 1", - "ĠMag azines", - "Ġm ouse", - "Ġski ers", - "Ġd il", - "Ġch aired", - "Ġj e", - "Ġrel iable", - "ĠCommun ities", - "ĠHast ings", - "g on", - "ĠS ain", - "Ġb arri", - "ing ers", - "Ġdecor ations", - "ĠKurd ish", - "Ġ ?", - "Ġan arch", - "ĠMag dal", - "ĠRes cue", - "l antic", - "ĠAnt werp", - "ĠD iss", - "ĠB R", - "ĠO mar", - "ĠJo ey", - "ĠAut onomous", - "Ġf usion", - "Ġadm ission", - "Ġspe eds", - "Ġp ier", - "Ġdis hes", - "Ġr ic", - "ĠCongress ional", - "ĠDu ff", - "ĠS ob", - "Ġf ed", - "ĠPear son", - "c ies", - "Ġmet eor", - "Ġvol untary", - "ĠAm ar", - "Ġautob iography", - "Ġair field", - "Ġres ur", - "ĠWe ight", - "ra pe", - "ow o", - "20 3", - "k ind", - "Ġun animous", - "ĠGlou cester", - "Ġ18 23", - "ĠC ic", - "ĠG ior", - "ĠColle ges", - "ĠL uck", - "oun ce", - "Ġbicy cle", - "ĠSt range", - "Ġsp elling", - "is ure", - "Ġins urg", - "b fb", - "ĠCan on", - "ĠTra vis", - "re p", - "ĠF res", - "ĠS chn", - "Ġsp y", - "ĠVal le", - "ĠFern and", - "ĠComp ar", - "Ġc um", - "cut ta", - "Ġcrew s", - "Ġscreen ing", - "ĠD A", - "Ġprov iders", - "ĠTh orn", - "Ġmod es", - "ĠL ump", - "ogen ic", - "og ie", - "Ġb oot", - "ĠEn c", - "ĠAre as", - "os ion", - "so on", - "ĠMeet ing", - "by e", - "Ġshell s", - "Ġenact ed", - "ĠProper ty", - "Ġris ks", - "Ġ12 8", - "ĠR ak", - "Ġcont rad", - "Ġtra ce", - "Ġknow ing", - "ĠRever end", - "Ġper ception", - "or io", - "yr gy", - "Ġm ont", - "f ont", - "ĠC ouncill", - "ĠCov entry", - "m itt", - "Ġsal v", - "Ġbus h", - "Ġjud gment", - "ĠT arg", - "ĠM O", - "fl ow", - "et ian", - "Ġoper as", - "Ġst aying", - "ep ing", - "Ġthrow ing", - "ĠM ord", - "ĠH ag", - "ĠE uc", - "Ġmarket ed", - "ĠTw ins", - "ĠCar penter", - "ĠHyder abad", - "N G", - "ĠTh ur", - "les h", - "iv ided", - "Ġmet aph", - "ig m", - "Ġsum mon", - "Ġelim inate", - "Ġlif ted", - "ens ions", - "ush i", - "re present", - "ĠCount ess", - "O ut", - "Ġsket ch", - "Ġexha ust", - "Ġcap ability", - "ĠL ingu", - "Ġlo ose", - "Ġd ust", - "Ġphil osophical", - "ĠM ou", - "Ġdiss olution", - "A c", - "Ġp neum", - "Ġcancel ed", - "r ust", - "ĠT ate", - "und ers", - "ĠAr cher", - "W ith", - "Ġtel esc", - "ong o", - "ĠD ana", - "ke ys", - "Ġinter ference", - "ĠC T", - "n ame", - "ĠRe agan", - "ur us", - "ig nty", - "B ar", - "Ġins isted", - "Ġback up", - "Ġnot iced", - "ĠBel ow", - "ĠDuc hess", - "Ġtransm itter", - "Ġloan ed", - "Ġrein forced", - "ĠJes uit", - "Ġm ills", - "ĠVari ety", - "Ġ( $", - "Ġdec ommission", - "gr ass", - "Ġdiagn osis", - "Ġle cture", - "ĠF ritz", - "Ġcogn itive", - "ĠVer de", - "ĠDres den", - "ig on", - "Ġadd s", - "he ll", - "ov sk", - "ry n", - "Ġam phib", - "Ġceleb rity", - "N or", - "D em", - "ĠLand marks", - "ĠW ire", - "ĠWrit er", - "Ġexerc ises", - "Ġimm igrant", - "ĠAtt ack", - "y cl", - "Ġse ating", - "Ġreun ited", - "r ade", - "ov ic", - "Ġpro c", - "Ġlux ury", - "le ague", - "ĠB oul", - "Ġinter rupted", - "ob ic", - "ĠSh ire", - "ĠRebell ion", - "ĠMon astery", - "ĠCar mel", - "Ġl anes", - "on ge", - "is chen", - "in ction", - "ĠBrad y", - "ĠB aj", - "ĠP asc", - "ore n", - "ĠVeter ans", - "ĠRe ference", - "ĠCl iff", - "ĠAm bassadors", - "ĠJer ome", - "res hold", - "ab is", - "ĠW ien", - "abul ary", - "ros pective", - "r ar", - "ĠG iant", - "ĠTe aching", - "ĠFitz g", - "Ġs izes", - "Ġs ou", - "Ġcan oe", - "ĠBas que", - "P I", - "Ġ ~", - "ch ich", - "Ġd orm", - "Ġpl aque", - "m and", - "Ġdem o", - "ĠS ites", - "com ed", - "Ġsuper hero", - "ĠHond a", - "Ġh iding", - "isl av", - "ĠFront ier", - "Ġ18 17", - "Ġview ing", - "end ra", - "ĠW ak", - "Ġan the", - "ĠC BC", - "it ational", - "Ġg est", - "ĠCl aus", - "ĠAd j", - "Ġpian ists", - "ĠWilliam son", - "Ġjump ing", - "pro v", - "ĠSal is", - "ĠSt alin", - "ost ic", - "ĠGal way", - "ĠFl at", - "Ġs ued", - "Ġrequ ests", - "id ia", - "ĠClin ical", - "ig l", - "ĠC ey", - "ĠB rett", - "Ġinsc riptions", - "Ġal pine", - "ĠT il", - "ĠHond uras", - "ĠWolf gang", - "ĠBe ast", - "13 0", - "ĠK ub", - "Ġsem in", - "Ġsh rine", - "190 1", - "b ay", - "Ġillust rator", - "ĠJ enny", - "Ġpot tery", - "ĠC oc", - "ash ing", - "Ġmach inery", - "ĠM ai", - "ĠB ound", - "Ġk in", - "Ġs ad", - "ĠBl ind", - "Ġfin ite", - "ĠMarc os", - "ĠK ov", - "Ġdet ention", - "ĠCompet itors", - "g t", - "ĠBih ar", - "Ġdeleg ate", - "Ġvolt age", - "ĠGen esis", - "j ar", - "ĠEnt ry", - "Ġl as", - "op ters", - "ĠAnim als", - "ĠMonth ly", - "ag ara", - "190 3", - "Ġcons on", - "ĠEl ena", - "ĠEns emble", - "ĠBet ter", - "Ġcrit ically", - "E m", - "ĠY ah", - "war f", - "ĠBusiness people", - "ĠKann ada", - "oc us", - "Ġfact s", - "ĠC ot", - "ĠHol t", - "ĠD ram", - "ĠCoast al", - "ĠBart on", - "Ġopin ions", - "ain ted", - "Ġaddress es", - "Ġdrain age", - "row ing", - "ĠCed ar", - "ĠG erm", - "ĠScient ists", - "Ġport folio", - "Ġfr ames", - "ĠGastrop ods", - "Ġphilos ophers", - "Ġconsec rated", - "N D", - "ak ala", - "Ġunder took", - "eb e", - "V R", - "bre aking", - "ĠCa esar", - "Ġc arn", - "ĠSing ers", - "str m", - "ĠQu ant", - "Ġdrop ping", - "ĠCar bon", - "en ne", - "ĠChar ity", - "as ive", - "ĠAl ess", - "ĠColl abor", - "Ġstat ues", - "ow itz", - "ĠA in", - "m ain", - "Ġschem es", - "C ap", - "ou ds", - "Ġsm oke", - "ĠY un", - "B o", - "op a", - "art ment", - "ĠSch war", - "un ched", - "Ġappe aled", - "ĠInter est", - "R es", - "Ġcrim inals", - "Ġch assis", - "at an", - "Ġd ens", - "Ġdescend ant", - "un ciation", - "ĠSt ream", - "Ġh alls", - "th y", - "Ġfru its", - "cer pt", - "Ġgu idelines", - "ĠTe achers", - "f ile", - "urn ed", - "af ia", - "Sp anish", - "1 10", - "Ġv ine", - "ĠBott om", - "Ġspace craft", - "Ġin cl", - "Ġover view", - "Ġpart icle", - "ĠZ oo", - "eb o", - "ĠCl an", - "Ġclar inet", - "a ic", - "Ġse greg", - "ill i", - "Ġun likely", - "Ġbroad er", - "ĠCh oir", - "ĠG entle", - "Ġequ ations", - "w rote", - "Ġbow ling", - "Ġ180 3", - "Ġc af", - "Ġcontact s", - "er ical", - "ĠBh ut", - "se in", - "Ġdim ension", - "ĠCon cept", - "ĠS ok", - "ĠM W", - "ĠC hes", - "ĠCal cutta", - "ĠTob ago", - "F l", - "ĠN othing", - "Ġdors al", - "c end", - "Ġhang ing", - "ĠB ian", - "Ġlic ence", - "Ġsl ope", - "ĠL ug", - "ad an", - "Ġor phan", - "ĠFig ure", - "ĠConserv atory", - "Ġinstitut ional", - "ck en", - "Ġmet all", - "Ġs ank", - "a ft", - "ĠClass ics", - "ung en", - "Ġun ity", - "Ġcatalog ue", - "ĠDe al", - "Ġrem ake", - "Ġw ards", - "Ġshow c", - "ĠC yn", - "Ġder ives", - "Ġbr ass", - "Ġ180 6", - "Ġcommun es", - "Ġdestroy ers", - "ĠClub s", - "ver n", - "ĠCarl ton", - "Ġceleb rations", - "he id", - "ys c", - "N Y", - "L R", - "L o", - "Ġv est", - "et he", - "nd on", - "rif ied", - "ipel ago", - "Ġinf ant", - "Ġt allest", - "tt i", - "Ġro de", - "Ġin equ", - "Ġbomb ers", - "Ġa uxiliary", - "ĠBar rett", - "190 2", - "Ġgar age", - "ĠC asc", - "ba um", - "ĠY ong", - "ĠMart ine", - "Ġfold ed", - "ĠK ost", - "ĠC ry", - "ĠWar wick", - "ĠX ia", - "os ity", - "av irus", - "F S", - "I O", - "ugh t", - "av ers", - "lim ited", - "Ġcraf ts", - "Ġmand atory", - "Ġprom ising", - "ĠProm otion", - "ĠR it", - "Ġcor rel", - "ĠC ounsel", - "Ġaffili ation", - "ĠC ao", - "ĠN ina", - "Ġhero es", - "Ġmel od", - "Ġreal izes", - "ould er", - "Ġpres idents", - "1 20", - "Ġcru iser", - "in qu", - "ĠMat hematical", - "Ġtra ces", - "ve z", - "Ġmar ched", - "n ormal", - "ĠMc F", - "Ġsw orn", - "ĠMarket ing", - "Ġp ent", - "Ġdis gu", - "lift ing", - "us hes", - "ĠElis abeth", - "ĠArch diocese", - "Ġwalk ed", - "S al", - "Ġf iber", - "cent ric", - "j ana", - "Ġen orm", - "Ġpit chers", - "rit ies", - "Ġconqu ered", - "ĠRap id", - "Ġfood s", - "ĠRom ance", - "ĠI k", - "el age", - "ĠSin clair", - "Ġprot ocol", - "ĠO man", - "Ġmasc uline", - "ĠC rew", - "ĠS ug", - "ĠC ounter", - "ĠStand ings", - "Ġhost ile", - "Ġn g", - "og ram", - "00 1", - "S mith", - "ĠWe in", - "Ġsub str", - "Ġref urb", - "clud es", - "os aurus", - "Ġc ement", - "Ġreve aling", - "Ġhom eless", - "ĠCour ts", - "ĠMetac ritic", - "ar ina", - "ĠHer r", - "ĠTrad ition", - "ĠVer lag", - "ĠA ston", - "A ss", - "Ġm ock", - "ĠBerm uda", - "Ġnav ig", - "ĠDem on", - "ĠEp ic", - "ĠRun ner", - "ĠUrugu ayan", - "ĠE rie", - "Ġ2009 10", - "Ġsm allest", - "ĠEle anor", - "ĠVen us", - "Ġre ef", - "Ġgran ite", - "Ġbord ered", - "n ership", - "ĠAn k", - "Ġ11 6", - "Ġinvest ments", - "am on", - "ĠRot ten", - "ĠAm phib", - "ĠFranc isc", - "Ġavo ided", - "ĠWe ap", - "ĠS aid", - "Ġm es", - "ĠWhe eler", - "ĠBar ber", - "y ne", - "af i", - "Ġev angel", - "ĠV on", - "ĠMoz amb", - "Ġdam ages", - "ind s", - "iod iversity", - "as ants", - "ĠOp position", - "ĠAl c", - "Ġm igr", - "Ġd up", - "G E", - "it uary", - "ĠCorn er", - "190 4", - "Ġboy friend", - "ĠSt anding", - "ic iary", - "ĠS ens", - "Ġmetab ol", - "Ġdec oration", - "ze k", - "ĠHans en", - "Ġdecor ative", - "ĠRes istance", - "p us", - "Ġlik es", - "utt ing", - "Ġri ots", - "Ġcontin ent", - "Ġmon ster", - "ĠN ay", - "ĠNiel sen", - "Ġ11 4", - "ĠMal t", - "Ġscreen writers", - "Ġcolle ague", - "inn ers", - "ast eries", - "Ġpubl ishes", - "Will iam", - "ĠAl m", - "ĠEvangel ical", - "Ġw ool", - "eng ine", - "ĠNR HP", - "Ġhapp ens", - "Ġac ids", - "Ġ17 93", - "Ġen closed", - "Ġst ip", - "Ġs aints", - "Ġdesc ended", - "ĠJacob s", - "ĠRe ptiles", - "Ġw ished", - "ye v", - "m ile", - "olog ic", - "hip s", - "ar ra", - "Ġfresh water", - "Ġwhe at", - "er oy", - "Ġancest ors", - "ĠLope z", - "ĠS amp", - "ĠG ould", - "d el", - "Ġc ig", - "Ġline back", - "Ġcontribut or", - "ĠBolog na", - "Ġt rom", - "ĠAugust a", - "Ġ180 9", - "Ġge ography", - "ĠS idd", - "ĠHan over", - "ount ers", - "ĠSh iva", - "Ġattract ive", - "ĠBra in", - "ĠDors et", - "ĠL ans", - "ĠNo ah", - "pr ising", - "ĠP erman", - "Ġexplicit ly", - "E very", - "l ich", - "Ġliv estock", - "Ġg ains", - "ĠAleks and", - "Ġob s", - "ĠRand olph", - "q i", - "ĠRick y", - "Ġphot ographers", - "be ing", - "du ctions", - "d ate", - "ĠV l", - "ĠChall enger", - "Ġterror ism", - "Ġf ails", - "ĠW itch", - "ĠCunning ham", - "bl ack", - "ch w", - "ant an", - "Ġph ases", - "Ġlov es", - "Ġkick ed", - "ĠG ert", - "Ġstri ker", - "Ġmand ate", - "ĠTra v", - "ĠCred it", - "Ġseem ingly", - "Ġh urd", - "ĠT uls", - "Ġex cluded", - "Ġbu ying", - "Ġinst ances", - "ĠW ine", - "ĠWe ber", - "Ġdial ects", - "ĠR ita", - "ĠElect rical", - "ĠGlac ier", - "Ġdem anding", - "Ġres on", - "ĠFore ver", - "P L", - "ĠCN N", - "Ġass ume", - "Ġinvestig ating", - "ĠPublic ation", - "Ġeng aging", - "Ġhuman itarian", - "Ġment or", - "Ġgram mar", - "CA F", - "ĠO F", - "Ġg rab", - "fr ame", - "Ġsimilar ities", - "Ġsp ar", - "Ġacc redited", - "Ġde er", - "ĠRain bow", - "ĠK ah", - "Ġret rie", - "ĠAr r", - "o ise", - "Ġter restrial", - "ĠBur mese", - "Ġlik ed", - "ĠCycl ing", - "ĠL ily", - "ĠI ps", - "y ar", - "ĠSh annon", - "ĠTur ks", - "spec ific", - "h ydro", - "ĠTon ight", - "ĠN ab", - "ĠHol iday", - "ĠH ers", - "Ġstrugg ling", - "ĠI M", - "D D", - "Ġst ems", - "ĠI R", - "Ġse ar", - "18 90", - "cy l", - "Ġupd ate", - "Ġp our", - "Ġincorpor ating", - ", '", - "ĠA IDS", - "ĠL od", - "X X", - "ĠReserv oir", - "Ġ17 98", - "Ġext ant", - "Ġ0 2", - "ĠH abit", - "Ġ0 4", - "Ġin ning", - "N FL", - "ĠW ords", - "ĠFal cons", - "Ġcapt uring", - "ĠCert ifications", - "clip se", - "ĠNational s", - "ĠDh aka", - "ĠBron x", - "ĠF uk", - "ad vant", - "Ġre per", - "Ġlist ening", - "ĠP end", - "Ġquarter finals", - "ĠNico le", - "uther land", - "ĠMem ory", - "ĠW ilt", - "Ġbox es", - "bern atorial", - "ĠNamib ia", - "ĠSh o", - "Ġregul atory", - "ĠRecord ed", - "Ġenc ounters", - "ĠH ipp", - "ĠH of", - "ĠLaure nt", - "ĠPer kins", - "Ġst range", - "ĠRest oration", - "ĠRivers ide", - "Ġres pected", - "d ivision", - "Ġspect ators", - "ĠNeigh bor", - "Ġnar rator", - "O h", - "ĠHy per", - "Ġpossess ed", - "ĠChrist church", - "Ġw orse", - "Ġbl acks", - "ĠEl m", - "ĠPass enger", - "Ġinf ected", - "ure n", - "Ġsec uring", - "ĠCar m", - "ĠRap ids", - "Ġtrap ped", - "ĠH oney", - "Ġparam eters", - "Ġ17 94", - "Ġport al", - "ĠValent ine", - "Ġincom plete", - "run ning", - "Ġdrag on", - "ĠAss y", - "Ġal ly", - "ul ative", - "ĠW erner", - "ĠMay o", - "ĠPars ons", - "Ġcompet itor", - "alth ough", - "Ġ0 3", - "omet ric", - "ĠSy nd", - "rit e", - "ĠE vel", - "ĠApost olic", - "Ġpeace ful", - "ĠAir ways", - "keep ing", - "ĠC ram", - "Ġconf ident", - "um ont", - "FC C", - "Ġinc orrect", - "ĠRe ports", - "ĠSt ee", - "Ġsand stone", - "ĠNeigh bour", - "ĠRic ardo", - "ĠV est", - "ĠJ agu", - "Ġput s", - "Ġad vances", - "um ar", - "Ġnew er", - "Ġinstall ations", - "ĠD mit", - "G ood", - "Ġre feren", - "Ġco le", - "ĠRoy als", - "ĠY et", - "V N", - "Ġd well", - "Ġenroll ment", - "ĠRodrig uez", - "est ead", - "Ġdyn amics", - "Ġpal m", - "ĠAss am", - "ib i", - "R ock", - "ell ites", - "Ġ18 11", - "Ġang ry", - "ĠRav ens", - "Ġd ign", - "Ġarm or", - "ĠS ke", - "ĠJ ab", - "ident ified", - "Ġpage ant", - "ĠM ae", - "ĠM ood", - "Ġcolle giate", - "ĠB ooth", - "arm ed", - "Ġmeasure ments", - "Ġdef ines", - "ual a", - "ĠPres ervation", - "ĠHand book", - "Ġmar athon", - "ĠLeg ends", - "ĠM I", - "ĠD oyle", - "Ġg ig", - "Ġh urt", - "ĠNo el", - "ĠClif ford", - "Ġt ender", - "ĠK ell", - "Ġcomplex ity", - "Ġsubt ropical", - "ĠSch u", - "ĠBlack burn", - "Ġutil ized", - "Ġtort ure", - "ĠC rd", - "Ġm ood", - "Ġen abling", - "ĠVirt ual", - "Ġcoordin ates", - "Ġteam ed", - "Ġaffect ing", - "ĠT omb", - "ĠLiving ston", - "Ġinter active", - "Ġs lee", - "W S", - "im edia", - "Ġ180 8", - "ĠJak arta", - "the re", - "Ġover time", - "Ġsum mar", - "Bl ue", - "D M", - "P resident", - "ĠWild cats", - "M art", - "ĠMat ches", - "Ġpractition ers", - "ĠReg ist", - "ĠW elfare", - "rad or", - "it ivity", - "lyn n", - "Ġh aul", - "bo ats", - "l ink", - "ĠH BO", - "ĠUn known", - "ĠChrist ie", - "y am", - "ĠCh op", - "Ġopt ed", - "ail able", - "ĠMac Donald", - "Ġcomb ining", - "ĠQual ification", - "Ġlo aded", - "ĠVik ing", - "erv ed", - "ang an", - "ĠPr att", - "Ġinform al", - "Ġd ining", - "ĠJ ing", - "st a", - "ĠJ oo", - "Ġvir al", - "B er", - "ĠN K", - "H er", - "Ġtox ic", - "ĠB res", - "Ġb anner", - "am ous", - "Ġac ute", - "k ir", - "18 95", - "ev o", - "ick er", - "ĠB ally", - "ĠR ide", - "Ġshort ened", - "x imately", - "Ġs olic", - "Ġviol ations", - "Ġchar itable", - "ĠIll ustrated", - "Ġexp enses", - "od us", - "ĠJournal ism", - "ĠMos que", - "ĠAnth rop", - "p ired", - "Ġsh adow", - "ĠPart nership", - "od ont", - "ĠNe uro", - "ĠMon uments", - "ĠN J", - "ĠCal vin", - "ĠAnt iqu", - "Ġmonarch y", - "erm ark", - "Ġdi oces", - "im eter", - "ĠConstant ine", - "ĠT ouch", - "Ġspread ing", - "Ġsearch ing", - "uc ed", - "f ar", - "ĠT b", - "ĠStand ards", - "ĠCam den", - "Ġplace ment", - "ĠP emb", - "Ġpros pect", - "ĠR ider", - "ight y", - "ĠRef uge", - "l ide", - "ĠSe v", - "ĠBerks hire", - "ru z", - "ĠVol ks", - "ĠSlav ic", - "ĠZh ou", - "Ġde ity", - "ĠSalis bury", - "ĠBagh dad", - "ĠThe res", - "re v", - "ag ger", - "aw an", - "Ġer upt", - "ĠMar se", - "ĠRe formed", - "Ġto ile", - "com b", - "ĠD over", - "Ġin ception", - "at isf", - "Ġdes k", - "F irst", - "tt emberg", - "ĠN ue", - "ĠNurs ing", - "ĠSe pt", - "Ġsacrif ice", - ".. .\"", - "Ġpri zes", - "Ġsent ences", - "Ġrep ublic", - "ĠD ix", - "Ġsan ction", - "Ġexp ense", - "arl ow", - "Ġqual ifier", - "ĠSpr int", - "Ġsculpt ors", - "ĠT ran", - "im id", - "act ivated", - "Ġlo os", - "ĠM illion", - "ĠRe leased", - "s sel", - "ĠEd ith", - "Ġdis ability", - "ĠSam oa", - "son ian", - "ĠC ull", - "ĠMir ror", - "ks on", - "Ġgarn ered", - "ĠBark er", - "umb ers", - "st able", - "ib us", - "Ġp ension", - "Ġm ate", - "ĠP asha", - "ĠDe part", - "Ġtro op", - "Ġan alys", - "ĠFl int", - "Ġins u", - "ĠHaw kins", - "Ġch im", - "ĠMy ers", - "ĠP ueb", - "Ġnom inal", - "Ġcompl aint", - "ĠKer r", - "ĠPre par", - "ĠRec urring", - "Ġab d", - "ĠPack ers", - "ĠPaint ings", - "h aul", - "pect ives", - "Ġdisp at", - "ĠFac ilities", - "bird s", - "Ġkeep s", - "ough ton", - "Ġalign ment", - "ĠTri o", - "Ġconv ince", - "Ġplant ation", - "ĠB rat", - "Ġdict ator", - "ar ine", - "ĠMold ova", - "Ġc reek", - "og ues", - "Ġisol ation", - "Ġign ored", - "the l", - "ĠAppl ications", - "C al", - "L L", - "m are", - "ĠSuper intendent", - "18 99", - "ĠNewsp apers", - "ĠJud ith", - "Ġsed iment", - "Ġun official", - "f ig", - "ĠG iro", - "Ġcreat ures", - "Ġpremi ership", - "ĠArchae ology", - "ĠL amp", - "Ġrout ine", - "Ġm asters", - "ĠCatal an", - "al ach", - "Ġl od", - "ĠSw ord", - "Ġreal m", - "ĠP az", - "Ġpar ody", - "Ġp owder", - "ĠK op", - "up ta", - "inn ings", - "Ġphilanthrop ist", - "ring e", - "J ust", - "ĠL yd", - "ĠM oy", - "ĠBar th", - "Ġdiv ine", - "Ġschol arly", - "ĠSat ellite", - "o os", - "ĠTreat ment", - "o op", - "Ġimm une", - "v als", - "Ġcommemor ate", - "ĠLight ning", - "azz o", - "ĠSe ym", - "Ġnational ity", - "Ġtrack ing", - "Ġge ographic", - "ĠK ant", - "ĠRhy thm", - "ĠComp anion", - "Ġtub es", - "Ġsk aters", - "Ġres ides", - "ĠBe e", - "Ġextra ordinary", - "ĠDirector ate", - "Ġsm ugg", - "Ġexpl aining", - "is en", - "Ġ180 7", - "ĠV C", - "ĠBel ie", - "18 98", - "Ġmot ors", - "Ġl ighter", - "ter dam", - "od or", - "qu i", - "ĠCh ung", - "ĠGreen land", - "ĠAct ors", - "Ġdifferent ial", - "Ġlin king", - "am ma", - "ĠAf ro", - "ĠGra ves", - "Ġbut t", - "ĠF ate", - "ĠInt el", - "S aint", - "ĠF landers", - "ĠAzerbai jani", - "M ont", - "ĠIsab ella", - "ĠSt ations", - "Ġtext ile", - "ĠF ung", - "ĠV ie", - "Ġup grade", - "Ġ180 5", - "Ġpseud onym", - "Ġimpact s", - "Ġconsult ing", - "ĠAnt oine", - "r ath", - "ĠTur in", - "ak is", - "Ġn erve", - "ĠF rost", - "res cent", - "S O", - "Ġflo ating", - "ĠRou ge", - "Ġd os", - "ĠPione er", - "Ġpsych iat", - "in en", - "Ġfemin ine", - "Ġprin ts", - "ĠW rest", - "Ġsucceed ing", - "Ġw itch", - "ĠGu err", - "n h", - "Ġgen u", - "at ore", - "ĠHaw k", - "ĠSc outs", - "ĠInf rastructure", - "c ie", - "ge e", - "ĠLaure n", - "udd y", - "ĠRan ch", - "Ġb acks", - "Ġb ike", - "ĠIm ag", - "x ford", - "p ace", - "os i", - "ill as", - "Ġsk illed", - "Ġhe ating", - "hes is", - "ĠSp y", - "Ġen erg", - "ĠSom alia", - "Ġbi ographical", - "ĠLe h", - "s ka", - "Ġ2022 23", - "ĠRaj ast", - "it one", - "ĠList ed", - "Ġevac uated", - "ĠReg ina", - "ĠPre c", - "ĠO val", - "iss ues", - "Ġd ome", - "ĠF ors", - "Ġsong writing", - "Ġ13 5", - "ĠHow e", - "Ġb und", - "ĠV era", - "feat uring", - "Ar ch", - "Ġpre vention", - "Ġlack ing", - "b ons", - "Ġteen ager", - "ĠC aval", - "Ġ17 0", - "ar ro", - "ĠB ant", - "th or", - "orn o", - "ous and", - "ĠCey lon", - "og i", - "ĠP ter", - "ĠT ae", - "ĠH ague", - "b ug", - "Ġmel ody", - "Ġaest hetic", - "Ġpod ium", - "Ġdis qual", - "let ter", - "Ġstrict ly", - "ĠK ara", - "ard ing", - "ĠOr t", - "i ad", - "Ġsh r", - "ĠE gg", - "Ġsub ordin", - "ĠGe ological", - "ĠHuman ities", - "Ġto m", - "Ġs ometime", - "Ġw onder", - "V I", - "ĠCh ong", - "Ġrel ax", - "ĠNorm andy", - "ĠHale akala", - "ĠJ up", - "ra ul", - "Ġmag ist", - "ĠAlf onso", - "ool s", - "ĠTra ffic", - "Ġsystem atic", - "Ġexcess ive", - "Ġdes per", - "Ġbus y", - "Ġmet ro", - "ĠMagn us", - "L ife", - "Ġbig ger", - "ĠMed ic", - "H R", - "Ġteen age", - "Ġel ong", - "ĠBever ly", - "or an", - "ĠFlem ish", - "ĠFeat ures", - "oin ing", - "Ġfolk lore", - "ĠUn ity", - "Ġl oyalty", - "ne g", - "Ġrelig ions", - "Ġto ugh", - "Ġcouncill or", - "ĠDyn amo", - "ch annel", - "ĠKar achi", - "Ġovers aw", - "ĠFitzg erald", - "ĠRiver a", - "Ġret aining", - "ĠAss ess", - "v ir", - "ĠK ut", - "ĠGlou cestershire", - "ey er", - "ĠBy r", - "Ġdefeat s", - "Ġpe aking", - "Ġinter rog", - "an u", - "Ġman eu", - "Ġcont empor", - "Ġdream s", - "y ards", - "ĠInter active", - "ĠR ath", - "s ung", - "ĠBeh ind", - "h ole", - "Ġb ail", - "Ġn as", - "f al", - "Ġreform ed", - "Ġh iatus", - "her ty", - "Ġseason al", - "auth ored", - "Ġcorpor ations", - "ĠJul es", - "Ġconsolid ated", - "ie le", - "Ġwood s", - "e aux", - "ong a", - "Ġchrom os", - "Ġprogress ed", - "Ġt urt", - "Ġdem olition", - "ĠCol ts", - "ĠN amed", - "Ġbo om", - "ĠHand ball", - "ĠSim mons", - "Ġdisch arge", - "ĠChe ro", - "ĠBe ir", - "ĠPr as", - "d ict", - "EE E", - "own ers", - "ĠGreen wich", - "ĠL atter", - "ĠCricket ers", - "ĠRah man", - "ical s", - "Ġpath s", - "Ġ180 2", - "ĠFern ndez", - "Ġst amps", - "bro ther", - "Ġplat inum", - "ĠShep herd", - "ĠPe g", - "Ġconstitut ed", - "Ġcl oth", - "osa urs", - "Ġri ot", - "t ier", - "Ġprol ific", - "ĠGer ard", - "Ġcountry side", - "ĠLu ft", - "Ġstrong est", - "ĠG ru", - "Ġmin ers", - "Ġvi ola", - "ĠTer esa", - "ĠD ru", - "Ġ17 89", - "ĠWater loo", - "Ġeth ics", - "ĠIn tern", - "Ġsix ty", - "Ch ief", - "Ġwel comed", - "Ġa unt", - "ack er", - ") ||", - "ĠIn sp", - "ĠG ros", - "ĠR onnie", - "Ġval ued", - "ĠUl tra", - "Ġactiv ism", - "ĠElect ronics", - "ol ves", - "Ġpeak s", - "ĠRes olution", - "Ġprof its", - "Ġcyl inder", - "ĠWal ton", - "Ġpoly mer", - "Ġintegr ity", - "ĠCatal onia", - "ĠW ah", - "ud s", - "Ġmod ifications", - "f u", - "ĠQuarter ly", - "F O", - "ĠR O", - "ĠActiv ities", - "ĠC able", - "Ġaster oid", - "Ġident ifying", - "ĠSteel ers", - "M r", - "ĠDon na", - "Ġult imate", - "od ied", - "Ġ2008 09", - "Ġprec ise", - "ai res", - "ĠL ill", - "pro ducer", - "it ate", - "Ġmon k", - "Ġvill ain", - "ab ar", - "ĠL ik", - "Ġles bian", - "ian ces", - "ĠCret aceous", - "y ang", - "ĠM ugh", - "ĠCarl isle", - "Ġapp lying", - "ĠMaj esty", - "Ġ180 4", - "Ġhop ing", - "Ġcann on", - "Ġst om", - "ĠOb ject", - "Ġrevers ed", - "ĠPl ays", - "ĠGe ology", - "Ġorgan s", - "ĠAl am", - "ĠLag os", - "Un iversity", - "n ell", - "ist ically", - "Ġfin ishes", - "ĠBy ron", - "Ġpre ference", - "Ġs her", - "Ġqu ar", - "Ġportray al", - "ĠC rypt", - "Ġh oly", - "Ġprec urs", - "ĠC ors", - "ĠBullet in", - "Ġcolumn ist", - "ote chn", - "Ġastron omer", - "Ġdispl aced", - "ĠWrit ten", - "Ġevery day", - "ĠOk in", - "ĠFle ming", - "ĠHob art", - "Ġcon ced", - "ĠC reat", - "ĠG aul", - "Ġdef ault", - "Ġimpro v", - "ĠRub y", - "Ġf ake", - "ĠPlay offs", - "ae v", - "Ġinv ention", - "ĠSup erv", - "Ġterm ed", - "qu el", - "Ġpersu aded", - "Ġtonn es", - "Ġ17 96", - "ĠSat urn", - "ĠAbb ott", - "Ġd iab", - "ĠLincoln shire", - "U M", - "ĠPo z", - "Ġrac ism", - "Ġrock y", - "Ġcor ridor", - "Ġsett ling", - "Ġexpert ise", - "ĠLe ct", - "ĠBanglades hi", - "Ġt ales", - "9 00", - "ĠMon aco", - "ĠMid night", - "Ġse as", - "s un", - "Ġrepl ied", - "Ġwar rant", - "ĠTechn ologies", - "Ġgener ic", - "m u", - "ĠRel ief", - "Ġd ivid", - "ĠD iane", - "ĠStir ling", - "ĠP urd", - "ĠMult iple", - "Ġf ever", - "Ġbl amed", - "S o", - "Ġmin iseries", - "c ule", - "Ġo g", - "Ġcur ved", - "ul g", - "Ġdiss ertation", - "ĠChero kee", - "ious ly", - "ĠM anning", - "Ġpart ition", - "Ġthough ts", - "i ov", - "d ig", - "ĠEc ology", - "Ġlandsc apes", - "Ġaut onomy", - "Ġdom ains", - "ps y", - "Ġsubstant ially", - "Ġannex ed", - "Ġcol ored", - "Ġdet ained", - "Ġun rest", - "ĠMcC l", - "Ġrem arked", - "Ġarc ade", - "ra id", - "Ġbe ings", - "ar as", - "Ġbu ff", - "play ed", - "c n", - "ĠH anc", - "L ittle", - "ĠB am", - "ĠS ometimes", - "Ġremn ants", - "ce phal", - "ĠG aza", - "Ġke ys", - "ĠIs abel", - "ĠSp in", - "ĠBol iv", - "Ġappl ies", - "ĠRot terdam", - "Ġ12 3", - "Ġrob ust", - "ye ong", - "ĠP BS", - "ĠNorm al", - "g reat", - "un ts", - "Ġemploy er", - "b ore", - "ĠHigh lands", - "Ġag gress", - "ĠProgram s", - "ĠAugust ine", - "Ġ/ /", - "ĠChrist ina", - "Ġg ifts", - "ĠPengu in", - "Ġp ic", - "Ġ2 20", - "Ġceleb rities", - "Ġfre ely", - "ĠN ah", - "ĠMar i", - "s pring", - "Ġlaunch ing", - "c as", - "Ġfilm ography", - "D es", - "C ity", - "Ġst uff", - "pl ays", - "ĠH ors", - "re qu", - "ĠJ ans", - "ac ia", - "ĠPe oples", - "Ġ17 80", - "ric anes", - "ĠLe in", - "f ax", - "ĠSn chez", - "Ġf itness", - "ĠHold ings", - "et ed", - "ican a", - "Ġtrans mitted", - "Ġcomple ment", - "ĠV ert", - "ĠUS L", - "ĠA id", - "ol om", - "Ġbro w", - "Ġmineral s", - "ĠQ ub", - "Ġele venth", - "ys s", - "ĠBru ins", - "ĠRuss ians", - "int ro", - "Ġinspe ction", - "ĠB iden", - "ĠLif etime", - "ĠIps wich", - "Ġdif fers", - "ĠZ rich", - "ĠHel m", - "Ġw ounds", - "ĠAb s", - "Ġide ology", - "Ġlegit imate", - "ĠOpen ing", - "Ġcont am", - "am ph", - "Ġterm inology", - "Ġmodel ing", - "ĠMe y", - "ĠPe er", - "le ading", - "Ġuniform s", - "um per", - "ĠFerr ari", - "e ason", - "ĠO C", - "ĠMoz art", - "ĠMal i", - "ĠId ol", - "ĠD ied", - "T I", - "Ġcommun icate", - "ĠStevens on", - "Ġac cent", - "Ġsurpr ising", - "Ġsovere ignty", - "T unes", - "ĠL up", - "it ism", - "ĠFl ood", - "ĠT R", - "Ġcon sole", - "ĠAfter wards", - "ĠA val", - "ĠCl ose", - "an ium", - "ĠCatholic ism", - "Ġexpect ations", - "ĠMer chant", - "arn ation", - "k le", - "w at", - "Ġbr illiant", - "ĠFilm ing", - "h ara", - "Ġbl ank", - "oz o", - "ic ides", - "Ġwh atever", - "az ing", - "ĠJud y", - "Ġlos es", - "ĠMir anda", - "ĠHer b", - "Ġtact ical", - "ĠAl most", - "s ome", - "ĠS EC", - "Ġgra vity", - "ĠDecl aration", - "l op", - "Ġ17 95", - "me z", - "Ġchem ist", - "ĠEl im", - "Ġne o", - "ĠSeym our", - "Wh ite", - "ort ed", - "K e", - "Ġqual ities", - "Ġappro aching", - "ĠKn own", - "ĠDr um", - "ening rad", - "Ġre ly", - "ĠML S", - "Ġdis abilities", - "ay ev", - "ĠAn ch", - "ĠPay ne", - "ij k", - "ĠRow ing", - "Ġ17 92", - "Ġte aches", - "ert iary", - "Ġo val", - "Ġcont ing", - "r k", - "ploy ed", - "e ches", - "ĠStafford shire", - "Ġc it", - "Ġwaters hed", - "Ġv ib", - "ib al", - "ĠMon arch", - "Ġswe pt", - "ion es", - "ĠR aven", - "18 97", - "id ium", - "ĠP itch", - "ĠAust ro", - "ipp on", - "ĠPolytechn ic", - "-- --", - "Ġmon op", - "ĠRank ings", - "Ġbl ast", - "Ġprecip itation", - "ĠShoot ing", - "ĠG ore", - "Ġim aging", - "F I", - "Ġfin ancing", - "ĠN gu", - "Ġ4 50", - "Ġsex ually", - "Ġwood land", - "ĠJul iet", - "ĠA AA", - "ĠAll ies", - "it le", - "Ġres emble", - "ĠLah ore", - "ĠGill es", - "Ġpost al", - "Ġplan ets", - "Ġquant ity", - "to ire", - "Ġrepe at", - "dire ctor", - "ĠMorm on", - "for th", - "b ott", - "x x", - "ung a", - "Ġw age", - "Ġdiscuss ing", - "ĠGo al", - "Ġche ese", - "Ġdec om", - "Ġtw elfth", - "Ġ1 19", - "Ġis n", - "Ġsurve ys", - "v ik", - "z ew", - "Ġeffect iveness", - "Ġh oney", - "ĠAr row", - "ĠCh ow", - "Ġaccept ing", - "ĠBe aver", - "fl ower", - "ĠE MI", - "chen ko", - "Ġsupposed ly", - "Ġdeal er", - "Ġspr ings", - "Ġflow ing", - "Ġgener ating", - "Ġcomb ine", - "ĠGr im", - "gra ve", - "ĠPerman ent", - "ank a", - "ĠSign al", - "Ġt ends", - "ĠW et", - "ĠZamb ia", - "Ġsan ctuary", - "b ilt", - "Ġtens ions", - "f an", - "10 1", - "Ġdest inations", - "Ġcom eb", - "Ġfact o", - "Ġplaywright s", - "Ġteam mates", - "l ord", - "ĠMart nez", - "Ġb ol", - "ĠKy oto", - "ĠGu ill", - "ĠColl ier", - "Ġe y", - "orne ys", - "ĠT ram", - "Ġim per", - "Ġnerv ous", - "ĠC ove", - "Ġpurs uing", - "Ġspir its", - "ĠJub ilee", - "Ġapp ar", - "Ġmonarch s", - "Ġship ped", - "Ġsuperv ised", - "Ġout comes", - "ĠH ier", - "Ġper f", - "Ġe ase", - "ĠSter ling", - "Ġrecommend ation", - "sh ort", - "rad a", - "ĠIsland er", - "ĠLex ington", - "ĠB ax", - "Ġatt ained", - "ĠLaure nce", - "ĠI rene", - "18 96", - "vent ions", - "Ġmist ake", - "Ġit al", - "pe x", - "ĠN er", - "h ak", - "Ġtra ct", - "Ġemot ions", - "Ġh alt", - "Ġout s", - "ĠF arn", - "ĠG ale", - "Ġund ers", - "Ġcor re", - "Ġcr ater", - "Ġth reshold", - "c ery", - "Ġany where", - "B ra", - "ĠCom ing", - "ĠIs les", - "Pac ific", - "ĠS EA", - "Ġcult ivation", - "og enes", - "Ġlim itations", - "Ġn itro", - "ĠV ista", - "ĠH K", - "all ow", - "ich t", - "ed ge", - "12 5", - "Ġmed ic", - "or ie", - "ĠWorld s", - "Ġsil k", - "Ġm igrated", - "ĠN ish", - "act yl", - "Ġreg ulated", - "ĠAll ison", - "ĠRob b", - "ĠCorpor ate", - "ĠNaz is", - "Ġd in", - "Ġresemb les", - "Ġcomed ians", - "efe ated", - "ij n", - "Ġco e", - "Ġadm iral", - "ĠG ent", - "a it", - "k ill", - "ay ama", - "Ġoff shore", - "Ġrif les", - "Ġvill agers", - "Ġtechn ological", - "Ġanaly st", - "ĠF ork", - "ion i", - "ante ed", - "Ġb ark", - "ck i", - "ĠRang er", - "Ġcr ust", - "ĠSmith sonian", - "gu ard", - "l argest", - "oll a", - "Ġadvent ures", - "Ġbes ide", - "ĠEdu ardo", - "Ġt u", - "cul osis", - "ĠT orn", - "Ġliber ation", - "ĠP ip", - "ĠTransl ation", - "I m", - "ĠJud ges", - "ĠPa olo", - "ĠPh antom", - "Ġinstitut es", - "ĠBow ie", - "ĠR M", - "Ġsc rapped", - "Ġb ust", - "ĠH ess", - "Ġsurpr ised", - "ets u", - "ĠS ung", - "ĠPro ceed", - "ĠOcean ia", - "Ġcon stitute", - "ĠIm ages", - "Ġdist ances", - "ĠMa o", - "ay at", - "D own", - "ĠCons ort", - "ĠA E", - "ĠL ance", - "ĠBar r", - "Ġinsu fficient", - "ĠNig el", - "ĠTuls a", - "ĠCommod ore", - "ĠN ice", - "ĠTh anks", - "ĠMet eor", - "ag us", - "Ġcard inal", - "ĠR unners", - "ul ent", - "ĠPil ot", - "Ġemp ower", - "Ġsevent een", - "Ġl ots", - "Ġf ro", - "ons on", - "Ġcar b", - "Ġsyn chron", - "n ance", - "Ġre hears", - "av ior", - "Ġso ils", - "Ġcirc a", - "Ġd ances", - "Ġtrans gender", - "b ler", - "j as", - "ĠJ ury", - "Ġbotan ist", - "Ġcompet es", - "ĠRh in", - "Ġcou rage", - "urn ame", - "Ġmot ivated", - "Ġdocument ation", - "ad u", - "ow l", - "Ġre habilitation", - "ĠMult i", - "ov al", - "ĠLaf ayette", - "ĠPur ple", - "ĠDe vi", - "it ra", - "ĠT ip", - "ĠBang alore", - "ĠS au", - "ĠBah rain", - "Ġtr unk", - "Ġstop ping", - "Ġpharm ac", - "b is", - "ĠD ash", - "Ġimag ery", - "ĠQu ad", - "ĠF ind", - "ĠT art", - "yr s", - "Ġclass room", - "Ġpione ering", - "mill an", - "ĠS utherland", - "ĠWe iss", - "ĠDom estic", - "Ġorigin ating", - "ac ul", - "Ġreg ards", - "ĠSt ones", - "Ġn it", - "ĠCo aches", - "erg arten", - "Amer ica", - "ĠRob ot", - "Ġcontrovers ies", - "Ġoverwhel ming", - "ĠTact ical", - "ĠL ights", - "Ġoccup y", - "Ġdiscipl ines", - "enc ers", - "ĠH aus", - "ĠCh att", - "ĠN aw", - "ĠY o", - "ĠJ ill", - "pl an", - "ar ie", - 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"u res", - "he n", - "Ġrec ord", - "ar g", - "Ġin v", - "em ent", - "istric t", - "Ġt rans", - "os s", - "t en", - "Ġs o", - "er t", - "Ġm ed", - "e e", - "ar i", - "Ġ1 6", - "ar s", - "Ġs chool", - "Ġkn own", - "Ġs et", - "a i", - "ĠCount y", - "ĠA d", - "y s", - "\" ,", - "Ġ ent", - "Ġbec ame", - "2 00", - "Ġs uch", - "st it", - "Ġest abl", - "ĠO r", - "Ġ1 5", - "Ġa m", - "is m", - "ĠS outh", - "ĠG e", - "Ġpro v", - "c y", - "ur al", - "it s", - "Ġp h", - "Ġin c", - "ment s", - "Ġth an", - "ĠS chool", - "amp ion", - "tern ational", - "u ro", - "ĠG erman", - "ĠM e", - "a x", - "is e", - "Ġf our", - "p os", - "Ġ &", - "ĠN ov", - "Ġs eries", - "ĠJ u", - "Ġbe ing", - "Ġs ome", - "ur ch", - "Ġle ad", - "Ġ| -", - "Ġb l", - "Ġp opul", - "Ġ .", - "e ver", - "ĠW est", - "ut e", - "Ġc all", - "Ġs ong", - "ay s", - "Ġinclud ing", - "ot her", - "j ect", - "le t", - "et h", - "Ġgro up", - "Ġagain st", - "a e", - "Ġw ell", - "are er", - "Ġd o", - "i ke", - "Ġap pe", - "ĠP ol", - "ĠA fter", - "b orn", - "Ġde ath", - "ug ust", - "Ġac c", - "ar ri", - "Ġc ount", - "t y", - "Ġc re", - "ction s", - "ian s", - "ĠP r", - "u ary", - "ĠW h", - "am ed", - "pt ember", - "ĠAust ral", - "v en", - "st em", - "at her", - "t il", - "ĠY ork", - "ar n", - "ire d", - "ul l", - "b y", - "m y", - "er ed", - "r id", - "ver y", - "ut ion", - "e y", - "ĠA ugust", - "Ġbe fore", - "ĠBrit ish", - "Ġre ce", - "= \"", - "ĠO ct", - "el s", - "Ġ1 2", - "Ġad d", - "Ġwh ile", - "r ist", - "Ġs ur", - "ĠSe ptember", - "Ġs ign", - "Ġpol it", - "iv es", - "ĠMar ch", - "overn ment", - "00 0", - "Ġb ro", - "Ġde c", - "Ġsh ow", - "ĠC ent", - "a id", - "Ġoff ic", - "Ġbu ild", - "Ġde velop", - "Ġo per", - "ĠOct ober", - "olog y", - "Ġg o", - "el f", - "Ġfam ily", - "Ġun til", - "Ġc ap", - "le v", - "ĠM an", - "x t", - "Ġm usic", - "Ġm ay", - "pr il", - "iz ed", - "ow ever", - "ĠJ une", - "a u", - "r and", - "Ġo wn", - "f ess", - "Ġn o", - "Ġre p", - "ĠJan uary", - "ic a", - "Ġor ig", - "er y", - "Ġm ain", - "m ber", - "Ġm od", - "Ġh igh", - "ĠAs s", - "ĠJu ly", - "en g", - "ĠAl l", - "Ġbir ths", - "emb ers", - "ĠC ar", - "1 0", - "l ish", - "ist or", - "Ġch ar", - "Ġb oth", - "ĠN orth", - "Ġplay ed", - "olle ge", - "Ġm on", - "Ġman y", - "Ġnum ber", - "ot t", - "et s", - "ĠC o", - "ĠLe ague", - "Ġex p", - "om an", - "Ġn ame", - "ut h", - "ampion ship", - "ĠA pril", - "cent ury", - "ward s", - "Ġb ack", - "Ġ19 2", - "ant s", - "v ed", - "i ent", - "ĠCan ad", - "ĠE uro", - "it t", - "ĠSe e", - "Ġrele ased", - "ce mber", - "Ġe m", - "st ru", - "ĠG u", - "ain ed", - "ĠB o", - "en e", - "i or", - "p le", - "Ġg u", - "g ram", - "1 7", - "ĠE d", - "is c", - "Ġfor mer", - "ĠC ol", - "ĠNov ember", - "it al", - "Ġse ver", - "iss ion", - "ĠA m", - "ĠEng lish", - "Ġan n", - "Ġw on", - "i um", - "in es", - "e c", - "he s", - "port s", - "Ġdes ign", - "p or", - "ic ip", - "ce pt", - "ĠRe g", - "ĠW ill", - "ĠDe cember", - "Ġm at", - "ĠC ity", - "Ġ1 4", - "ra ct", - "ĠF l", - "aj or", - "Ġdes c", - "y l", - "ros s", - "Ġ1 3", - "Ġl ife", - "Ġare a", - "im es", - "ir d", - "Ġst art", - "ĠC al", - "ĠA f", - "Ġor gan", - "r is", - "duc ed", - "Ġop en", - "Ġf eat", - "are d", - "ĠSt ate", - "re t", - "f l", - "Ġg ame", - "ag es", - "Ġd if", - "v ent", - "res ident", - "Ġr un", - "k et", - "u es", - "Ġfilm s", - "l ed", - "ro p", - "Ġpro du", - "p art", - "Ġ1 1", - "ar m", - "et y", - "Ġm en", - "Ġ201 0", - "Ġcl ass", - "ograph y", - "Ġ2 1", - "y le", - "Ġex t", - "ap an", - "il t", - "eb ru", - "Ġs m", - "lev ision", - "ebru ary", - "Ġpubl ic", - "un g", - "ĠK ing", - "ĠI I", - "Ġst ate", - "Ġsy stem", - "ĠP ar", - "Ġl ong", - "Ġo b", - "ual ly", - "Ġd r", - "ar ch", - "ĠB ro", - "f ul", - "Ġf inal", - "Ġc areer", - "il it", - "n er", - "ĠH is", - "Ġs ame", - "ul ar", - "an c", - "a use", - "Ġcall ed", - "am b", - "vi ew", - "Ġfollow ing", - "ĠF ebruary", - "in c", - "z e", - "ov e", - "y n", - "Ġret urn", - "Ġf in", - "on y", - "Ġc ity", - "Ġw ill", - "iv ision", - "ĠEuro pe", - "ĠS w", - "a f", - "h ip", - "Ġch ild", - "r at", - "al es", - "ak ing", - "Ġsever al", - "Ġcomm un", - "ren ch", - "il ity", - "Ġw omen", - "re nt", - "oin t", - "ĠM ed", - "or ks", - "ĠJ apan", - "s p", - "an ge", - "ch n", - "ial ly", - "c om", - "c on", - "ure d", - "Ġl ist", - "Ġs uc", - "ĠGe or", - "p ed", - "Ġe arly", - "Ġa ir", - "ĠB ar", - "Ġcont in", - "Ġ '", - "Ġto wn", - "Ġcomp et", - "Ġcl ub", - "ĠE l", - "Ġm in", - "Ġres ult", - "h am", - "ib le", - "1 2", - "ĠA nd", - "ĠH ar", - "ĠH istory", - "is ed", - "al ly", - "Ġs ince", - "ic es", - "ain s", - "st er", - "19 9", - "ĠThe y", - "ĠP art", - "b o", - "r ing", - "Ġn ear", - "ang u", - "Ġn amed", - "Ġorig inal", - "end ed", - "u ed", - "ĠCh rist", - "at a", - "Ġhe ad", - "ĠA b", - "1 6", - "Ġb el", - "Ġdis c", - "Ġpl ace", - "ĠF rench", - "id ed", - "i ence", - "Ġ201 1", - "ĠRe p", - "Ġc ur", - "Ġbe gan", - "il le", - "Ġt it", - "Ġus e", - "iv al", - "an e", - "re en", - "Ġpro gram", - "ĠU S", - "Ġv ill", - "Ġm ember", - "Ġm embers", - "1 5", - "Ġp rom", - "Ġhe ld", - "Ġan y", - "Ġl and", - "ĠCom p", - "Ġb ased", - "ain t", - "ĠR es", - "ĠM c", - "Ġthe se", - "Ġcomp le", - "b le", - "Ġap p", - "m e", - "Ġsup port", - "oun c", - "ĠAf ric", - "al ity", - "Ġg overnment", - "r ight", - "Ġ200 8", - "ĠR uss", - "Ġm et", - "Ġ201 2", - "Ġw e", - "ĠR o", - "a ugh", - "Ġ19 0", - "ĠA ir", - "Ġestabl ished", - "i ous", - "Ġal ong", - "Ġe ff", - "t he", - "Ġ ,", - "ĠE ast", - "ĠCh ampionship", - "Ġdesc rib", - "T he", - "in ess", - "Ġen g", - "ition s", - "ĠC ollege", - "Ġp ass", - "ĠWill iam", - "ĠG en", - "an a", - "od e", - ". .", - "Ġd ist", - "pe ct", - "al th", - "ad em", - "Ġ200 9", - "Ġloc ated", - "ur g", - "u k", - "ĠThe re", - "at or", - "ical ly", - "ĠH er", - "or m", - "ac ed", - "Ġd id", - "Ġl aw", - "in o", - "Ġc ol", - "Ġo cc", - "Ġchar act", - "che s", - "f ord", - "ĠAr t", - "c ol", - "at s", - "i en", - "ubl ic", - "ĠP eople", - "Ġp os", - "Ġy ou", - "Ġ201 3", - "ond on", - "ĠN e", - "oci ation", - "ĠIt al", - "Ġ200 6", - "Ġ200 7", - "Ġh ouse", - "Ġe ach", - "t o", - "ĠH igh", - "ing ton", - "ore d", - "Ġ201 4", - "ro w", - "Ġ201 6", - "Ġserv ed", - "our t", - "ĠF ilm", - "Ġto ok", - "qu e", - "Ġs im", - "k y", - "Ġ X", - "1 4", - "ĠRe c", - "Ġb and", - "Ġt r", - "Ġst ation", - "Ġh ome", - "ĠD istrict", - "Ġb us", - "av ing", - "ĠS y", - "ĠIn ternational", - "Ġb orn", - "Ġg ames", - "Ġn ational", - "m ed", - "ly mp", - "i et", - "ĠA c", - "Ġin st", - "Ġ201 5", - "re w", - "er g", - "Ġpro fess", - "in ed", - "Ġ201 8", - "ight s", - "p s", - "Ġcomp any", - "Ġl ine", - "Ġp erson", - "1 3", - "ĠO lymp", - "Ġpopul ation", - "Ġm ajor", - "Ġ18 9", - "ac es", - "our n", - "Ġ20 20", - "ĠD av", - "ill ion", - "ĠL iving", - "ĠL ondon", - "Ġ201 7", - "ĠSe c", - "Ġs l", - "Ġb as", - "Ġj oin", - "Ġsm all", - "Ġle g", - "Ġloc al", - "ĠInd ian", - "ĠL a", - "ard s", - "Ġv ari", - "Ġrece ived", - "Ġde b", - "Ġev ent", - "Ġ2 5", - "Ġgen eral", - "Ġman ag", - "Ġpubl ished", - "Ġte levision", - "ĠC up", - "et t", - "Ġcent ury", - "ĠN ot", - "ilit ary", - "s ide", - "et er", - "Ġ3 0", - "at ure", - "Ġ201 9", - "Ġsing le", - "Ġbu ilt", - "ĠS up", - "Ġv i", - "ĠPh il", - "a ul", - "Ġd ue", - "Ġc ould", - "Ġv ers", - "ĠH owever", - "Ġ $", - "Ġap pro", - "ar ge", - "Ġw orld", - "Ġspec ies", - "ar a", - "Ġc olle", - "um n", - "Ġsuc cess", - "ie f", - "ounc il", - "Ġp o", - "v ers", - "Ġst r", - "in t", - "Ġa round", - "ord ing", - "if ied", - "ĠA ng", - "uth or", - "id es", - "at ely", - "om in", - "ĠG l", - "Ġo ld", - "Ġed uc", - "ĠT r", - "arri ed", - "ĠL ist", - "ĠN o", - "Ġt erm", - "is on", - "ro l", - "ĠC or", - "um mer", - "Ġa ge", - "ff ic", - "l ing", - "ĠT ra", - "ĠH ouse", - "Ġhe l", - "Ġal ign", - "Ġe p", - "ord s", - "e f", - "oc ial", - "ĠP ark", - "r ation", - "Ġp resent", - "ĠP re", - "Ġle ft", - "Ġl ast", - "Ġs ix", - "ĠE n", - "Ġh istory", - "Ġn ow", - "i od", - "a im", - "Ġs aid", - "ĠS an", - "Ġt y", - "Ġ200 0", - "Ġrep resent", - "re et", - "a us", - "id d", - "ra ft", - "t t", - "Ġd ied", - "Ġplay er", - "op h", - "Ġ 0", - "Ġre st", - "1 1", - "Ġc amp", - "iz ation", - "ĠD uring", - "Ġc ar", - "Ġl a", - "um b", - "angu age", - "Ġto p", - "ne y", - "Ġp ar", - "ĠB r", - "on es", - "Ġvill age", - "Ġwith in", - "ĠM ich", - "Ġd et", - "iv en", - "Ġst yle", - "Ġf ive", - "Ġ200 5", - "Ġt ri", - "Ġn orth", - "Ġsh ort", - "Ġ2 4", - "v an", - "ĠR oy", - "Ġor der", - "ide o", - "Ġ18 8", - "Ġd ay", - "in k", - "ĠD es", - "o ks", - "et her", - "u f", - "Ġdescrib ed", - "ak es", - "s c", - "ow s", - "ur ther", - "19 8", - "ent ly", - "Ġth ird", - "Ġbuild ing", - "al k", - "Ġinclud e", - "ĠR iver", - "Ġinclud ed", - "Ġp ost", - "um ent", - "Ġd own", - "ast er", - "if orn", - "ĠP er", - "Ġdif fer", - "d ay", - "he m", - "ĠA g", - "Ġchild ren", - "Ġre port", - "ur s", - "ĠEng land", - "c o", - "ĠCh ar", - "Ġ202 1", - "att le", - "Ġre f", - "vi ous", - "Ġre qu", - "ĠS ch", - "ĠA ct", - "n a", - "er a", - "feren ce", - "Ġbec ause", - "ke y", - "t ain", - "iforn ia", - "Ġad m", - "ĠB y", - "th ough", - "Ġann oun", - "Ġl arge", - "Ġcons id", - "iv ely", - "re g", - "ĠG ro", - "ĠM al", - "Ġs outh", - "g round", - "Ġs on", - "ĠAustral ia", - "Ġ200 4", - "ic o", - "Ġd em", - "rid ge", - "ri end", - "Ġd istrict", - "ĠCal ifornia", - "l er", - "col or", - "Ġst and", - "ĠP ort", - "ĠB ra", - "Ġm ark", - "ĠM on", - "os p", - ". ,", - "use um", - "ct ure", - "Ġar ch", - "Ġp ower", - "inn ing", - "Ġst at", - "Ġbo ok", - "uc k", - "od y", - "ĠY ou", - "ĠPart y", - "en cy", - "Ġl o", - "Ġdeath s", - "ri pt", - "Ġ202 2", - "Ġc rit", - "ad io", - "it er", - "part ment", - "land s", - "in ing", - "Ġw ar", - "con om", - "um an", - "Ġappe ar", - "Ġc or", - "ĠD em", - "Ġm ale", - "Ġl arg", - "k a", - "Ġis s", - "ĠR oman", - "re st", - "Ġ18 6", - "Ġj ust", - "ist er", - "Ġ2 2", - "Ġre pl", - "ĠB el", - "c er", - "al d", - "al f", - "Ġw ater", - "Ġserv ice", - "g ed", - "Ġper iod", - "Ġn on", - "Ġper form", - "Ġadd ition", - "n ess", - "Ġres p", - "v es", - "Ġk ill", - "am ent", - "oci ety", - "ĠA nt", - "Ġde p", - "ee k", - "Ġv is", - "he l", - "our s", - "e le", - "Ġre fer", - "ĠS m", - "a ff", - "er ing", - "ĠO ne", - "Ġmov ed", - "ĠA ward", - "en se", - "Ġc r", - "ĠE m", - "Ġdiffer ent", - "iz e", - "Ġcur rent", - "ĠAustral ian", - "Ġro und", - "Ġl ike", - "ot e", - "rib ut", - "5 0", - "ĠAr my", - "Ġ2 3", - "Ġinc re", - "om b", - "Ġm illion", - "Ġl ed", - "k i", - "l ine", - "ĠN or", - "p ar", - "Ġt rad", - "Ġbus iness", - "am a", - "ĠA cc", - "t al", - "av y", - "her n", - "ĠM inist", - "Ġan other", - "Ġth ose", - "o on", - "Ġh istor", - "ĠR ober", - "op s", - "o f", - "Ġsh ip", - "Ġ18 7", - "Ġe qu", - "Ġst ill", - "and er", - "Ġ if", - "Ġf ather", - "Ġ el", - "Ġf ield", - "Ġw est", - "ĠJ ames", - "Ġd el", - "ĠInd ia", - "Ġex per", - "Ġa uthor", - "i ber", - "ĠM or", - "ĠSt e", - "d e", - "ep end", - "Ġf ac", - "c hed", - "iv il", - "Ġact iv", - "Ġh and", - "Ġcomp os", - "ĠCh urch", - "ĠM usic", - "Ġbe st", - "ĠGen eral", - "ĠFran ce", - "Ġp ort", - "Ġk m", - "o x", - "Ġannoun ced", - "Ġin ternational", - "Ġdeb ut", - "stru ction", - "Ġtit le", - "Ġcount ry", - "d om", - "ĠQ u", - "Ġs old", - "Ġf em", - "ĠTh om", - "Ġw in", - "as es", - "Ġ200 3", - "v ille", - "Ġ( )", - "Ġestabl ish", - "ĠY ear", - "19 7", - "u el", - "Ġcharact er", - "Ġe ast", - "Ġpolit ic", - "ĠGeor ge", - "ĠD ivision", - "f ield", - "un icip", - "us h", - "Ġs ide", - "c ast", - "Ġp at", - "Ġd ra", - "b e", - "ĠRoy al", - "Ġc ult", - "ourn al", - "ĠA p", - "an ish", - "re ad", - "Ġn ov", - "Ġa v", - "g color", - "Ġpre vious", - "ĠM ount", - "g in", - "Ġm ake", - "ĠEurope an", - "Ġ very", - "ri es", - "a el", - "ĠQ ue", - "ĠP e", - "ort hern", - "Ġa ward", - "ĠCl ub", - "ĠCanad ian", - "Ġset t", - "ug g", - "ĠAc adem", - "Ġele ction", - "Ġpro ject", - "ip p", - "l in", - "le x", - "ĠP al", - "Ġam ong", - "m s", - "ap p", - "ab or", - "Ġw orks", - "ĠV al", - "ĠG r", - "Ġ2 6", - "ĠCanad a", - "Ġ200 2", - "ĠE le", - "i us", - "ĠR ich", - "Ġf r", - "al ign", - "Ġro le", - "g es", - "Ġpro duced", - "ĠW hen", - "w ork", - "ĠP aul", - "Ġf e", - "Ġm ag", - "pl oy", - "for man", - "Ġle vel", - "ĠB u", - "o ff", - "Ġof ten", - "ol ution", - "Ġa ff", - "Ġl ate", - "Ġs pe", - "Ġre ad", - "Ġw eb", - "a pe", - "ĠDav id", - "ĠC ouncil", - "Ġth ough", - "Ġinv ol", - "Ġre se", - "Ġb gcolor", - "ĠF ootball", - "Ġp e", - "Ġ199 0", - "it ar", - "st on", - "at ch", - "Ġwrit ten", - "Ġex pl", - "Ġ2 8", - "Ġ2 7", - "or ies", - "im ent", - "ĠL ou", - "Ġeng ine", - "Ġf ore", - "ĠH ol", - "Ġep is", - "ĠAss ociation", - "Ġ es", - "stit ute", - "Ġad v", - "b ack", - "Ġte chn", - "ac ks", - "Ġ200 1", - "ĠW ith", - "b an", - "ĠR ed", - "Ġstart ed", - "Ġev en", - "ĠD r", - "umn i", - "Ġyou ng", - "Ġp oss", - "Ġall ow", - "o le", - "em pt", - "Ġcl os", - "iv id", - "o e", - "ro te", - "Ġm arried", - "it or", - "Ġg rad", - "ĠR ail", - "v al", - "Ġc ame", - "Ġoffic ial", - "Ġin it", - "Ġc over", - "Ġim port", - "ĠP resident", - "Ġcre ated", - "ĠAmer ica", - "ou ther", - "Ġw ent", - "form ation", - "Ġg iven", - "Ġs ite", - "Ġto tal", - "ol ic", - "g y", - "ir c", - "ĠSt reet", - "al t", - "Ġst ru", - "Ġe very", - "ĠF irst", - "Ġt urn", - "outher n", - "Ġcommun ity", - "y a", - "ĠF rom", - "ĠS ing", - "er ation", - "w est", - "oin ted", - "ĠSt ud", - "3 0", - "Ġjoin ed", - "ra p", - "om et", - "Ġv al", - "Ġeff ect", - "ĠH istor", - "it te", - "ĠK h", - "Ġra il", - "ot s", - "Ġpolit ical", - "Ġch ang", - "Ġwork ed", - "Ġwh at", - "Ġp res", - "Ġcon c", - "i j", - "Ġvari ous", - "ir on", - "Ġf re", - "Ġdevelop ment", - "ag o", - "ber t", - "ĠS en", - "ree k", - "ĠT own", - "Ġcon f", - "pos ed", - "s ite", - "ĠT rans", - "b or", - "ir l", - "Ġpro cess", - "m a", - "Ġ1 00", - "Ġt w", - "Ġv ideo", - "e al", - "Ġprofess ional", - "Ġele ct", - "her s", - "Ġf act", - "Ġm ilitary", - "ĠS l", - "ac hed", - "' t", - "ĠUn ion", - "Ġvers ion", - "at ic", - "olog ical", - "at ri", - "ĠGerman y", - "op e", - "re am", - "ĠGro up", - "Ġm uch", - "s elf", - "Ġpro te", - "Ġprodu ction", - "Ġh aving", - "Ġne xt", - "Ġcomm on", - "Ġb re", - "Ġcl aim", - "Ġbec ome", - "Ġspec ial", - "Ġg r", - "h old", - "ĠM art", - "Ġs ent", - "ĠH en", - "Ġm iss", - "Ġh ost", - "ĠB er", - "og n", - "Ġs w", - "ĠJ e", - "h ib", - "ĠV ir", - "ĠM ary", - "ĠM ag", - "Ġ198 0", - "ĠS er", - "ĠRo ad", - "o or", - "Ġus ing", - "ĠW e", - "Ġp ri", - "ĠBl ack", - "ĠAr ch", - "Ġ [", - "Ġdire ct", - "Ġreturn ed", - "ĠMe x", - "19 6", - "Ġw rote", - "Ġint ro", - "ĠP ri", - "Ġs it", - "Ġp resident", - "Ġpr im", - "m en", - "Ġt em", - "ĠItal ian", - "ĠM y", - "ĠJapan ese", - "Ġ199 9", - "est s", - "Ġ2 9", - "Ġg l", - "ĠAfric an", - "in ation", - "ĠT ur", - "Ġpos ition", - "Ġmat ch", - "h a", - "Ġan t", - "ict ion", - "ĠL aw", - "Ġdire ctor", - "i ography", - "m ing", - "ĠH all", - "oin ts", - "Ġteam s", - "Ġt ake", - "ĠW omen", - "Ġm ult", - "Ġch urch", - "Ġsong s", - "fl u", - "ĠThe se", - "Ġopen ed", - "Ġper forman", - "B C", - "ct s", - "il ar", - "ĠComm un", - "ĠW ash", - "ĠPro v", - "ivid ual", - "Ġf ew", - "Ġev ents", - "id a", - "Ġf un", - "ell ow", - "ĠG ames", - "Ġbe h", - "se qu", - "ĠS am", - "ĠRober t", - "arl iam", - "Ġv ol", - "ak en", - "ib r", - "itt le", - "ĠRuss ian", - "ĠLe g", - "an i", - "ent ion", - "e ad", - "ĠCh ina", - "oc rat", - "u le", - "ĠB est", - "l o", - "arliam ent", - "ar ian", - "g er", - "C A", - "ĠSc ott", - "2 1", - "Ġt imes", - "t ra", - "Ġst ory", - "Ġs ol", - "ĠO ther", - "ec ut", - "Ġpart icip", - "Ġw ay", - "Ġv oc", - "Ġfootball ers", - "y ing", - "ri an", - "Ġalbum s", - "ĠAcc ording", - "augh ter", - "Ġbe g", - "Ġh ig", - "ĠM ad", - "est ed", - "ĠC ap", - "ĠPl ay", - "un t", - "Ġf riend", - "Ġ199 8", - "ĠWash ington", - "it z", - "ĠC ourt", - "n ing", - "ic le", - "Ġatt ack", - "ket ball", - "ĠM iss", - "Ġro ad", - "stit ut", - "our ces", - "itte e", - "il es", - "an ies", - "Ġim p", - "Ġadm inist", - "ĠC ast", - "Ġpopul ar", - "Ġbro ther", - "Ġne ed", - "Ġwith out", - "ĠComp any", - "is l", - "ĠC ont", - "ĠThom as", - "at ter", - "Ġserv ices", - "ra g", - "an ces", - "a ur", - "Ġreg ion", - "end ing", - "Ġp ract", - "ĠS erv", - 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"th let", - "Ġh old", - "ĠMich ael", - "Ġind ividual", - "way s", - "Ġto g", - "Ġre al", - "Ġpr iv", - "ĠG reat", - "Ġvi ew", - "ĠM ac", - "Ġweb site", - "Ġ z", - "id ence", - "ĠZ eal", - "Ġt en", - "ĠP ress", - "Ġtog ether", - "Ġ199 5", - "u ation", - "um p", - "Ġrele ase", - "ra in", - "ĠP at", - "ĠC ong", - "ĠZeal and", - "Ġ199 2", - "ric k", - "Ġin flu", - "ot a", - "ĠVir gin", - "ĠV ol", - "Ġreport ed", - "ĠChrist ian", - "Ġc ase", - "Ġappe ared", - "ĠM us", - "ĠRep ublic", - "ĠM er", - "ĠU K", - "et work", - "Ġ199 4", - "| |", - "ar ter", - "ar th", - "Ġs ports", - "Ġoff ice", - "ĠSp anish", - "ĠChin ese", - "Ġm other", - "ou l", - "ed eral", - "ĠAfric a", - "Ġtra ck", - "ĠK ore", - "m ar", - "Ġw eek", - "2 5", - "Ġ3 1", - "c ks", - "ĠT om", - "Ġ5 0", - "Ġm y", - "Ġk e", - "i que", - "Ġme et", - "Ġnov el", - "Ġcon d", - "Ġbir th", - "Ġdevelop ed", - "en c", - "Ġform ed", - "Ġin s", - "Ġh ous", - "it ive", - "y d", - "ak er", - "Ġ196 0", - "it ing", - "Ġmed al", - "ĠB ur", - "Ġhel p", - 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"ol a", - "ĠT or", - "ab ly", - "epend ent", - "at ives", - "Ġem ploy", - "Ġro ck", - "Ġd i", - "Ġgro und", - "ĠP eter", - "osp ital", - "Ġre v", - "ĠFran k", - "Ġrec ogn", - "Ġm ater", - "Ġhim self", - "Ġst ar", - "overn or", - "all s", - "v iron", - "Ġbuild ings", - "Ġde cl", - "Ġ =", - "re y", - "ĠCath olic", - "ĠM el", - "ĠS ong", - "ut y", - "ĠRich ard", - "le g", - "Ġr ul", - ") :", - "Ġac ross", - "az ine", - "Ġav ail", - "Ġf ire", - "Ġcomp anies", - "ĠS ur", - "g en", - "h i", - "ic ation", - "ĠSw ed", - "19 5", - "al y", - "ĠB ill", - "Ġb ody", - "p ite", - "s y", - "en a", - "ate g", - "ol f", - "Ġan im", - "ant ed", - "Ġcamp aign", - "Ġst ations", - "and ing", - "at re", - "Ġl anguage", - "sh ire", - "m ost", - "ri a", - "Ġe ight", - "19 4", - "um e", - "Ġdo es", - "ĠW il", - "b our", - "Ġaver age", - "ĠM ass", - "ĠL u", - "ĠU p", - "ĠF ore", - "Ġm ot", - "Ġ199 1", - "ce ed", - "Ġbl ack", - "Ġqu al", - "Ġex ist", - "Ġbec om", - "ĠPar is", - "ĠSec ond", - "Ġplay ing", - "ut es", - 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"ĠM ay", - "an k", - "us s", - "Ġn um", - "Ġm ov", - "Ġthe re", - "Ġ19 3", - "Ġthe n", - "Ġd ire", - "m p", - "ĠC an", - "Ġde f", - "Ġus ed", - ". \"", - "ĠJ an", - "er m", - "ow er", - "es e", - "vel op", - "u res", - "he n", - "Ġrec ord", - "ar g", - "Ġin v", - "em ent", - "istric t", - "Ġt rans", - "os s", - "t en", - "Ġs o", - "er t", - "Ġm ed", - "e e", - "ar i", - "Ġ1 6", - "ar s", - "Ġs chool", - "Ġkn own", - "Ġs et", - "a i", - "ĠCount y", - "ĠA d", - "y s", - "\" ,", - "Ġ ent", - "Ġbec ame", - "2 00", - "Ġs uch", - "st it", - "Ġest abl", - "ĠO r", - "Ġ1 5", - "Ġa m", - "is m", - "ĠS outh", - "ĠG e", - "Ġpro v", - "c y", - "ur al", - "it s", - "Ġp h", - "Ġin c", - "ment s", - "Ġth an", - "ĠS chool", - "amp ion", - "tern ational", - "u ro", - "ĠG erman", - "ĠM e", - "a x", - "is e", - "Ġf our", - "p os", - "Ġ &", - "ĠN ov", - "Ġs eries", - "ĠJ u", - "Ġbe ing", - "Ġs ome", - "ur ch", - "Ġle ad", - "Ġ| -", - "Ġb l", - "Ġp opul", - "Ġ .", - "e ver", - "ĠW est", - "ut e", - "Ġc all", - "Ġs ong", - "ay s", - "Ġinclud ing", - "ot her", - "j ect", - "le t", - "et h", - "Ġgro up", - "Ġagain st", - "a e", - "Ġw ell", - "are er", - "Ġd o", - "i ke", - "Ġap pe", - "ĠP ol", - "ĠA fter", - "b orn", - "Ġde ath", - "ug ust", - "Ġac c", - "ar ri", - "Ġc ount", - "t y", - "Ġc re", - "ction s", - "ian s", - "ĠP r", - "u ary", - "ĠW h", - "am ed", - "pt ember", - "ĠAust ral", - "v en", - "st em", - "at her", - "t il", - "ĠY ork", - "ar n", - "ire d", - "ul l", - "b y", - "m y", - "er ed", - "r id", - "ver y", - "ut ion", - "e y", - "ĠA ugust", - "Ġbe fore", - "ĠBrit ish", - "Ġre ce", - "= \"", - "ĠO ct", - "el s", - "Ġ1 2", - "Ġad d", - "Ġwh ile", - "r ist", - "Ġs ur", - "ĠSe ptember", - "Ġs ign", - "Ġpol it", - "iv es", - "ĠMar ch", - "overn ment", - "00 0", - "Ġb ro", - "Ġde c", - "Ġsh ow", - "ĠC ent", - "a id", - "Ġoff ic", - "Ġbu ild", - "Ġde velop", - "Ġo per", - "ĠOct ober", - "olog y", - "Ġg o", - "el f", - "Ġfam ily", - "Ġun til", - "Ġc ap", - "le v", - "ĠM an", - "x t", - "Ġm usic", - "Ġm ay", - "pr il", - "iz ed", - "ow ever", - "ĠJ une", - "a u", - "r and", - "Ġo wn", - "f ess", - "Ġn o", - "Ġre p", - "ĠJan uary", - "ic a", - "Ġor ig", - "er y", - "Ġm ain", - "m ber", - "Ġm od", - "Ġh igh", - "ĠAs s", - "ĠJu ly", - "en g", - "ĠAl l", - "Ġbir ths", - "emb ers", - "ĠC ar", - "1 0", - "l ish", - "ist or", - "Ġch ar", - "Ġb oth", - "ĠN orth", - "Ġplay ed", - "olle ge", - "Ġm on", - "Ġman y", - "Ġnum ber", - "ot t", - "et s", - "ĠC o", - "ĠLe ague", - "Ġex p", - "om an", - "Ġn ame", - "ut h", - "ampion ship", - "ĠA pril", - "cent ury", - "ward s", - "Ġb ack", - "Ġ19 2", - "ant s", - "v ed", - "i ent", - "ĠCan ad", - "ĠE uro", - "it t", - "ĠSe e", - "Ġrele ased", - "ce mber", - "Ġe m", - "st ru", - "ĠG u", - "ain ed", - "ĠB o", - "en e", - "i or", - "p le", - "Ġg u", - "g ram", - "1 7", - "ĠE d", - "is c", - "Ġfor mer", - "ĠC ol", - "ĠNov ember", - "it al", - "Ġse ver", - "iss ion", - "ĠA m", - "ĠEng lish", - "Ġan n", - "Ġw on", - "i um", - "in es", - "e c", - "he s", - "port s", - "Ġdes ign", - "p or", - "ic ip", - "ce pt", - "ĠRe g", - "ĠW ill", - "ĠDe cember", - "Ġm at", - "ĠC ity", - "Ġ1 4", - "ra ct", - "ĠF l", - "aj or", - "Ġdes c", - "y l", - "ros s", - "Ġ1 3", - "Ġl ife", - "Ġare a", - "im es", - "ir d", - "Ġst art", - "ĠC al", - "ĠA f", - "Ġor gan", - "r is", - "duc ed", - "Ġop en", - "Ġf eat", - "are d", - "ĠSt ate", - "re t", - "f l", - "Ġg ame", - "ag es", - "Ġd if", - "v ent", - "res ident", - "Ġr un", - "k et", - "u es", - "Ġfilm s", - "l ed", - "ro p", - "Ġpro du", - "p art", - "Ġ1 1", - "ar m", - "et y", - "Ġm en", - "Ġ201 0", - "Ġcl ass", - "ograph y", - "Ġ2 1", - "y le", - "Ġex t", - "ap an", - "il t", - "eb ru", - "Ġs m", - "lev ision", - "ebru ary", - "Ġpubl ic", - "un g", - "ĠK ing", - "ĠI I", - "Ġst ate", - "Ġsy stem", - "ĠP ar", - "Ġl ong", - "Ġo b", - "ual ly", - "Ġd r", - "ar ch", - "ĠB ro", - "f ul", - "Ġf inal", - "Ġc areer", - "il it", - "n er", - "ĠH is", - "Ġs ame", - "ul ar", - "an c", - "a use", - "Ġcall ed", - "am b", - "vi ew", - "Ġfollow ing", - "ĠF ebruary", - "in c", - "z e", - "ov e", - "y n", - "Ġret urn", - "Ġf in", - "on y", - "Ġc ity", - "Ġw ill", - "iv ision", - "ĠEuro pe", - "ĠS w", - "a f", - "h ip", - "Ġch ild", - "r at", - "al es", - "ak ing", - "Ġsever al", - "Ġcomm un", - "ren ch", - "il ity", - "Ġw omen", - "re nt", - "oin t", - "ĠM ed", - "or ks", - "ĠJ apan", - "s p", - "an ge", - "ch n", - "ial ly", - "c om", - "c on", - "ure d", - "Ġl ist", - "Ġs uc", - "ĠGe or", - "p ed", - "Ġe arly", - "Ġa ir", - "ĠB ar", - "Ġcont in", - "Ġ '", - "Ġto wn", - "Ġcomp et", - "Ġcl ub", - "ĠE l", - "Ġm in", - "Ġres ult", - "h am", - "ib le", - "1 2", - "ĠA nd", - "ĠH ar", - "ĠH istory", - "is ed", - "al ly", - "Ġs ince", - "ic es", - "ain s", - "st er", - "19 9", - "ĠThe y", - "ĠP art", - "b o", - "r ing", - "Ġn ear", - "ang u", - "Ġn amed", - "Ġorig inal", - "end ed", - "u ed", - "ĠCh rist", - "at a", - "Ġhe ad", - "ĠA b", - "1 6", - "Ġb el", - "Ġdis c", - "Ġpl ace", - "ĠF rench", - "id ed", - "i ence", - "Ġ201 1", - "ĠRe p", - "Ġc ur", - "Ġbe gan", - "il le", - "Ġt it", - "Ġus e", - "iv al", - "an e", - "re en", - "Ġpro gram", - "ĠU S", - "Ġv ill", - "Ġm ember", - "Ġm embers", - "1 5", - "Ġp rom", - "Ġhe ld", - "Ġan y", - "Ġl and", - "ĠCom p", - "Ġb ased", - "ain t", - "ĠR es", - "ĠM c", - "Ġthe se", - "Ġcomp le", - "b le", - "Ġap p", - "m e", - "Ġsup port", - "oun c", - "ĠAf ric", - "al ity", - "Ġg overnment", - "r ight", - "Ġ200 8", - "ĠR uss", - "Ġm et", - "Ġ201 2", - "Ġw e", - "ĠR o", - "a ugh", - "Ġ19 0", - "ĠA ir", - "Ġestabl ished", - "i ous", - "Ġal ong", - "Ġe ff", - "t he", - "Ġ ,", - "ĠE ast", - "ĠCh ampionship", - "Ġdesc rib", - "T he", - "in ess", - "Ġen g", - "ition s", - "ĠC ollege", - "Ġp ass", - "ĠWill iam", - "ĠG en", - "an a", - "od e", - ". .", - "Ġd ist", - "pe ct", - "al th", - "ad em", - "Ġ200 9", - "Ġloc ated", - "ur g", - "u k", - "ĠThe re", - "at or", - "ical ly", - "ĠH er", - "or m", - "ac ed", - "Ġd id", - "Ġl aw", - "in o", - "Ġc ol", - "Ġo cc", - "Ġchar act", - "che s", - "f ord", - "ĠAr t", - "c ol", - "at s", - "i en", - "ubl ic", - "ĠP eople", - "Ġp os", - "Ġy ou", - "Ġ201 3", - "ond on", - "ĠN e", - "oci ation", - "ĠIt al", - "Ġ200 6", - "Ġ200 7", - "Ġh ouse", - "Ġe ach", - "t o", - "ĠH igh", - "ing ton", - "ore d", - "Ġ201 4", - "ro w", - "Ġ201 6", - "Ġserv ed", - "our t", - "ĠF ilm", - "Ġto ok", - "qu e", - "Ġs im", - "k y", - "Ġ X", - "1 4", - "ĠRe c", - "Ġb and", - "Ġt r", - "Ġst ation", - "Ġh ome", - "ĠD istrict", - "Ġb us", - "av ing", - "ĠS y", - "ĠIn ternational", - "Ġb orn", - "Ġg ames", - "Ġn ational", - "m ed", - "ly mp", - "i et", - "ĠA c", - "Ġin st", - "Ġ201 5", - "re w", - "er g", - "Ġpro fess", - "in ed", - "Ġ201 8", - "ight s", - "p s", - "Ġcomp any", - "Ġl ine", - "Ġp erson", - "1 3", - "ĠO lymp", - "Ġpopul ation", - "Ġm ajor", - "Ġ18 9", - "ac es", - "our n", - "Ġ20 20", - "ĠD av", - "ill ion", - "ĠL iving", - "ĠL ondon", - "Ġ201 7", - "ĠSe c", - "Ġs l", - "Ġb as", - "Ġj oin", - "Ġsm all", - "Ġle g", - "Ġloc al", - "ĠInd ian", - "ĠL a", - "ard s", - "Ġv ari", - "Ġrece ived", - "Ġde b", - "Ġev ent", - "Ġ2 5", - "Ġgen eral", - "Ġman ag", - "Ġpubl ished", - "Ġte levision", - "ĠC up", - "et t", - "Ġcent ury", - "ĠN ot", - "ilit ary", - "s ide", - "et er", - "Ġ3 0", - "at ure", - "Ġ201 9", - "Ġsing le", - "Ġbu ilt", - "ĠS up", - "Ġv i", - "ĠPh il", - "a ul", - "Ġd ue", - "Ġc ould", - "Ġv ers", - "ĠH owever", - "Ġ $", - "Ġap pro", - "ar ge", - "Ġw orld", - "Ġspec ies", - "ar a", - "Ġc olle", - "um n", - "Ġsuc cess", - "ie f", - "ounc il", - "Ġp o", - "v ers", - "Ġst r", - "in t", - "Ġa round", - "ord ing", - "if ied", - "ĠA ng", - "uth or", - "id es", - "at ely", - "om in", - "ĠG l", - "Ġo ld", - "Ġed uc", - "ĠT r", - "arri ed", - "ĠL ist", - "ĠN o", - "Ġt erm", - "is on", - "ro l", - "ĠC or", - "um mer", - "Ġa ge", - "ff ic", - "l ing", - "ĠT ra", - "ĠH ouse", - "Ġhe l", - "Ġal ign", - "Ġe p", - "ord s", - "e f", - "oc ial", - "ĠP ark", - "r ation", - "Ġp resent", - "ĠP re", - "Ġle ft", - "Ġl ast", - "Ġs ix", - "ĠE n", - "Ġh istory", - "Ġn ow", - "i od", - "a im", - "Ġs aid", - "ĠS an", - "Ġt y", - "Ġ200 0", - "Ġrep resent", - "re et", - "a us", - "id d", - "ra ft", - "t t", - "Ġd ied", - "Ġplay er", - "op h", - "Ġ 0", - "Ġre st", - "1 1", - "Ġc amp", - "iz ation", - "ĠD uring", - "Ġc ar", - "Ġl a", - "um b", - "angu age", - "Ġto p", - "ne y", - "Ġp ar", - "ĠB r", - "on es", - "Ġvill age", - "Ġwith in", - "ĠM ich", - "Ġd et", - "iv en", - "Ġst yle", - "Ġf ive", - "Ġ200 5", - "Ġt ri", - "Ġn orth", - "Ġsh ort", - "Ġ2 4", - "v an", - "ĠR oy", - "Ġor der", - "ide o", - "Ġ18 8", - "Ġd ay", - "in k", - "ĠD es", - "o ks", - "et her", - "u f", - "Ġdescrib ed", - "ak es", - "s c", - "ow s", - "ur ther", - "19 8", - "ent ly", - "Ġth ird", - "Ġbuild ing", - "al k", - "Ġinclud e", - "ĠR iver", - "Ġinclud ed", - "Ġp ost", - "um ent", - "Ġd own", - "ast er", - "if orn", - "ĠP er", - "Ġdif fer", - "d ay", - "he m", - "ĠA g", - "Ġchild ren", - "Ġre port", - "ur s", - "ĠEng land", - "c o", - "ĠCh ar", - "Ġ202 1", - "att le", - "Ġre f", - "vi ous", - "Ġre qu", - "ĠS ch", - "ĠA ct", - "n a", - "er a", - "feren ce", - "Ġbec ause", - "ke y", - "t ain", - "iforn ia", - "Ġad m", - "ĠB y", - "th ough", - "Ġann oun", - "Ġl arge", - "Ġcons id", - "iv ely", - "re g", - "ĠG ro", - "ĠM al", - "Ġs outh", - "g round", - "Ġs on", - "ĠAustral ia", - "Ġ200 4", - "ic o", - "Ġd em", - "rid ge", - "ri end", - "Ġd istrict", - "ĠCal ifornia", - "l er", - "col or", - "Ġst and", - "ĠP ort", - "ĠB ra", - "Ġm ark", - "ĠM on", - "os p", - ". ,", - "use um", - "ct ure", - "Ġar ch", - "Ġp ower", - "inn ing", - "Ġst at", - "Ġbo ok", - "uc k", - "od y", - "ĠY ou", - "ĠPart y", - "en cy", - "Ġl o", - "Ġdeath s", - "ri pt", - "Ġ202 2", - "Ġc rit", - "ad io", - "it er", - "part ment", - "land s", - "in ing", - "Ġw ar", - "con om", - "um an", - "Ġappe ar", - "Ġc or", - "ĠD em", - "Ġm ale", - "Ġl arg", - "k a", - "Ġis s", - "ĠR oman", - "re st", - "Ġ18 6", - "Ġj ust", - "ist er", - "Ġ2 2", - "Ġre pl", - "ĠB el", - "c er", - "al d", - "al f", - "Ġw ater", - "Ġserv ice", - "g ed", - "Ġper iod", - "Ġn on", - "Ġper form", - "Ġadd ition", - "n ess", - "Ġres p", - "v es", - "Ġk ill", - "am ent", - "oci ety", - "ĠA nt", - "Ġde p", - "ee k", - "Ġv is", - "he l", - "our s", - "e le", - "Ġre fer", - "ĠS m", - "a ff", - "er ing", - "ĠO ne", - "Ġmov ed", - "ĠA ward", - "en se", - "Ġc r", - "ĠE m", - "Ġdiffer ent", - "iz e", - "Ġcur rent", - "ĠAustral ian", - "Ġro und", - "Ġl ike", - "ot e", - "rib ut", - "5 0", - "ĠAr my", - "Ġ2 3", - "Ġinc re", - "om b", - "Ġm illion", - "Ġl ed", - "k i", - "l ine", - "ĠN or", - "p ar", - "Ġt rad", - "Ġbus iness", - "am a", - "ĠA cc", - "t al", - "av y", - "her n", - "ĠM inist", - "Ġan other", - "Ġth ose", - "o on", - "Ġh istor", - "ĠR ober", - "op s", - "o f", - "Ġsh ip", - "Ġ18 7", - "Ġe qu", - "Ġst ill", - "and er", - "Ġ if", - "Ġf ather", - "Ġ el", - "Ġf ield", - "Ġw est", - "ĠJ ames", - "Ġd el", - "ĠInd ia", - "Ġex per", - "Ġa uthor", - "i ber", - "ĠM or", - "ĠSt e", - "d e", - "ep end", - "Ġf ac", - "c hed", - "iv il", - "Ġact iv", - "Ġh and", - "Ġcomp os", - "ĠCh urch", - "ĠM usic", - "Ġbe st", - "ĠGen eral", - "ĠFran ce", - "Ġp ort", - "Ġk m", - "o x", - "Ġannoun ced", - "Ġin ternational", - "Ġdeb ut", - "stru ction", - "Ġtit le", - "Ġcount ry", - "d om", - "ĠQ u", - "Ġs old", - "Ġf em", - "ĠTh om", - "Ġw in", - "as es", - "Ġ200 3", - "v ille", - "Ġ( )", - "Ġestabl ish", - "ĠY ear", - "19 7", - "u el", - "Ġcharact er", - "Ġe ast", - "Ġpolit ic", - "ĠGeor ge", - "ĠD ivision", - "f ield", - "un icip", - "us h", - "Ġs ide", - "c ast", - "Ġp at", - "Ġd ra", - "b e", - "ĠRoy al", - "Ġc ult", - "ourn al", - "ĠA p", - "an ish", - "re ad", - "Ġn ov", - "Ġa v", - "g color", - "Ġpre vious", - "ĠM ount", - "g in", - "Ġm ake", - "ĠEurope an", - "Ġ very", - "ri es", - "a el", - "ĠQ ue", - "ĠP e", - "ort hern", - "Ġa ward", - "ĠCl ub", - "ĠCanad ian", - "Ġset t", - "ug g", - "ĠAc adem", - "Ġele ction", - "Ġpro ject", - "ip p", - "l in", - "le x", - "ĠP al", - "Ġam ong", - "m s", - "ap p", - "ab or", - "Ġw orks", - "ĠV al", - "ĠG r", - "Ġ2 6", - "ĠCanad a", - "Ġ200 2", - "ĠE le", - "i us", - "ĠR ich", - "Ġf r", - "al ign", - "Ġro le", - "g es", - "Ġpro duced", - "ĠW hen", - "w ork", - "ĠP aul", - "Ġf e", - "Ġm ag", - "pl oy", - "for man", - "Ġle vel", - "ĠB u", - "o ff", - "Ġof ten", - "ol ution", - "Ġa ff", - "Ġl ate", - "Ġs pe", - "Ġre ad", - "Ġw eb", - "a pe", - "ĠDav id", - "ĠC ouncil", - "Ġth ough", - "Ġinv ol", - "Ġre se", - "Ġb gcolor", - "ĠF ootball", - "Ġp e", - "Ġ199 0", - "it ar", - "st on", - "at ch", - "Ġwrit ten", - "Ġex pl", - "Ġ2 8", - "Ġ2 7", - "or ies", - "im ent", - "ĠL ou", - "Ġeng ine", - "Ġf ore", - "ĠH ol", - "Ġep is", - "ĠAss ociation", - "Ġ es", - "stit ute", - "Ġad v", - "b ack", - "Ġte chn", - "ac ks", - "Ġ200 1", - "ĠW ith", - "b an", - "ĠR ed", - "Ġstart ed", - "Ġev en", - "ĠD r", - "umn i", - "Ġyou ng", - "Ġp oss", - "Ġall ow", - "o le", - "em pt", - "Ġcl os", - "iv id", - "o e", - "ro te", - "Ġm arried", - "it or", - "Ġg rad", - "ĠR ail", - "v al", - "Ġc ame", - "Ġoffic ial", - "Ġin it", - "Ġc over", - "Ġim port", - "ĠP resident", - "Ġcre ated", - "ĠAmer ica", - "ou ther", - "Ġw ent", - "form ation", - "Ġg iven", - "Ġs ite", - "Ġto tal", - "ol ic", - "g y", - "ir c", - "ĠSt reet", - "al t", - "Ġst ru", - "Ġe very", - "ĠF irst", - "Ġt urn", - "outher n", - "Ġcommun ity", - "y a", - "ĠF rom", - "ĠS ing", - "er ation", - "w est", - "oin ted", - "ĠSt ud", - "3 0", - "Ġjoin ed", - "ra p", - "om et", - "Ġv al", - "Ġeff ect", - "ĠH istor", - "it te", - "ĠK h", - "Ġra il", - "ot s", - "Ġpolit ical", - "Ġch ang", - "Ġwork ed", - "Ġwh at", - "Ġp res", - "Ġcon c", - "i j", - "Ġvari ous", - "ir on", - "Ġf re", - "Ġdevelop ment", - "ag o", - "ber t", - "ĠS en", - "ree k", - "ĠT own", - "Ġcon f", - "pos ed", - "s ite", - "ĠT rans", - "b or", - "ir l", - "Ġpro cess", - "m a", - "Ġ1 00", - "Ġt w", - "Ġv ideo", - "e al", - "Ġprofess ional", - "Ġele ct", - "her s", - "Ġf act", - "Ġm ilitary", - "ĠS l", - "ac hed", - "' t", - "ĠUn ion", - "Ġvers ion", - "at ic", - "olog ical", - "at ri", - "ĠGerman y", - "op e", - "re am", - "ĠGro up", - "Ġm uch", - "s elf", - "Ġpro te", - "Ġprodu ction", - "Ġh aving", - "Ġne xt", - "Ġcomm on", - "Ġb re", - "Ġcl aim", - "Ġbec ome", - "Ġspec ial", - "Ġg r", - "h old", - "ĠM art", - "Ġs ent", - "ĠH en", - "Ġm iss", - "Ġh ost", - "ĠB er", - "og n", - "Ġs w", - "ĠJ e", - "h ib", - "ĠV ir", - "ĠM ary", - "ĠM ag", - "Ġ198 0", - "ĠS er", - "ĠRo ad", - "o or", - "Ġus ing", - "ĠW e", - "Ġp ri", - "ĠBl ack", - "ĠAr ch", - "Ġ [", - "Ġdire ct", - "Ġreturn ed", - "ĠMe x", - "19 6", - "Ġw rote", - "Ġint ro", - "ĠP ri", - "Ġs it", - "Ġp resident", - "Ġpr im", - "m en", - "Ġt em", - "ĠItal ian", - "ĠM y", - "ĠJapan ese", - "Ġ199 9", - "est s", - "Ġ2 9", - "Ġg l", - "ĠAfric an", - "in ation", - "ĠT ur", - "Ġpos ition", - "Ġmat ch", - "h a", - "Ġan t", - "ict ion", - "ĠL aw", - "Ġdire ctor", - "i ography", - "m ing", - "ĠH all", - "oin ts", - "Ġteam s", - "Ġt ake", - "ĠW omen", - "Ġm ult", - "Ġch urch", - "Ġsong s", - "fl u", - "ĠThe se", - "Ġopen ed", - "Ġper forman", - "B C", - "ct s", - "il ar", - "ĠComm un", - "ĠW ash", - "ĠPro v", - "ivid ual", - "Ġf ew", - "Ġev ents", - "id a", - "Ġf un", - "ell ow", - "ĠG ames", - "Ġbe h", - "se qu", - "ĠS am", - "ĠRober t", - "arl iam", - "Ġv ol", - "ak en", - "ib r", - "itt le", - "ĠRuss ian", - "ĠLe g", - "an i", - "ent ion", - "e ad", - "ĠCh ina", - "oc rat", - "u le", - "ĠB est", - "l o", - "arliam ent", - "ar ian", - "g er", - "C A", - "ĠSc ott", - "2 1", - "Ġt imes", - "t ra", - "Ġst ory", - "Ġs ol", - "ĠO ther", - "ec ut", - "Ġpart icip", - "Ġw ay", - "Ġv oc", - "Ġfootball ers", - "y ing", - "ri an", - "Ġalbum s", - "ĠAcc ording", - "augh ter", - "Ġbe g", - "Ġh ig", - "ĠM ad", - "est ed", - "ĠC ap", - "ĠPl ay", - "un t", - "Ġf riend", - "Ġ199 8", - "ĠWash ington", - "it z", - "ĠC ourt", - "n ing", - "ic le", - "Ġatt ack", - "ket ball", - "ĠM iss", - "Ġro ad", - "stit ut", - "our ces", - "itte e", - "il es", - "an ies", - "Ġim p", - "Ġadm inist", - "ĠC ast", - "Ġpopul ar", - "Ġbro ther", - "Ġne ed", - "Ġwith out", - "ĠComp any", - "is l", - "ĠC ont", - "ĠThom as", - "at ter", - "Ġserv ices", - "ra g", - "an ces", - "a ur", - "Ġreg ion", - "end ing", - "Ġp ract", - "ĠS erv", - "Ġstud ents", - "idd le", - "Ġs k", - "Ġs ocial", - "od es", - "ĠC ath", - "Ġt er", - "ĠM en", - "ers hip", - "ĠS al", - "e x", - "wo od", - "ĠK n", - "a ign", - "Ġh alf", - "Ġbro ad", - "y ear", - "2 2", - "Ġg reat", - "Ġf ull", - "r ated", - "Ġcontin ued", - "Ġ197 0", - "Ġl ost", - "ĠA wards", - "ĠKing dom", - "ain ing", - "ĠCent ral", - "ĠS ociety", - "ac y", - "c raft", - "Ġco ach", - "y m", - "Ġm id", - "ĠM ont", - "ĠG rand", - "Ġal umni", - "ĠO p", - "us ed", - "Ġeduc ation", - "ra b", - "Ġrese arch", - "are nt", - "Ġ199 6", - "Ġatt empt", - "Ġs qu", - "Ġd ays", - "is ing", - "Ġh owever", - "ĠI r", - "b urg", - "Ġse e", - "ĠCh in", - "ens us", - "ĠRec ords", - "Ġprom ot", - "ap er", - "ĠM useum", - "4 0", - "Ġcomple ted", - "on a", - "Ġpro duc", - "Ġele cted", - "Ġapp ointed", - "ĠA lex", - "at ors", - "ĠChar les", - "ill s", - "ĠFl or", - "Ġcom b", - "ĠIs land", - "Ġinv est", - "Ġind ust", - "Ġin f", - "Ġ ident", - "est ival", - "in i", - "ĠD on", - "cent er", - "Ġpart y", - "ĠM et", - "Ġfound ed", - "Ġcont rol", - "Ġdire cted", - "ĠE duc", - "ĠCent er", - "Ġrecord ed", - "ĠTe x", - "Ġl im", - "Ġa ver", - "ific ation", - "u it", - "Ġr ight", - "ĠI m", - "r d", - "Ġ199 7", - "Ġsign ed", - "ĠE arly", - "Ġw ife", - "Ġe conom", - "ĠS ummer", - "amp le", - "l ess", - "Ġp oints", - "ber g", - "Ġpro per", - "Ġle ague", - "w h", - "as ons", - "Ġgroup s", - "Ġare as", - "2 3", - "Ġre view", - "Ġ18 5", - "Ġ /", - "ĠDe partment", - "Ġb ase", - "n el", - "Ġconsid ered", - "ish ing", - "ĠS im", - "Ġcon ne", - "Ġra ce", - "r ay", - "ĠAng el", - "ĠWest ern", - "Ġ202 3", - "ĠO ffic", - "Ġp oint", - "ĠJ ew", - "pl ay", - "Ġh on", - "ĠC he", - "Ġpart ic", - "Ġse le", - "at ural", - "ĠFran c", - "Ġre n", - "Ġf ind", - "Ġf urther", - "ĠV ict", - "j e", - "Ġm ar", - "= #", - "ĠT o", - "Ġc oll", - "ĠT V", - "Ġrel ations", - "ĠIn stitute", - "Ġc aus", - "ar ies", - "Ġv ict", - "ĠG old", - "ĠAcadem y", - "ĠLou is", - "ell s", - "Ġsim ilar", - "ĠOlymp ics", - "il i", - "Ġde g", - "ĠB ay", - "th let", - "Ġh old", - "ĠMich ael", - "Ġind ividual", - "way s", - "Ġto g", - "Ġre al", - "Ġpr iv", - "ĠG reat", - "Ġvi ew", - "ĠM ac", - "Ġweb site", - "Ġ z", - "id ence", - "ĠZ eal", - "Ġt en", - "ĠP ress", - "Ġtog ether", - "Ġ199 5", - "u ation", - "um p", - "Ġrele ase", - "ra in", - "ĠP at", - "ĠC ong", - "ĠZeal and", - "Ġ199 2", - "ric k", - "Ġin flu", - "ot a", - "ĠVir gin", - "ĠV ol", - "Ġreport ed", - "ĠChrist ian", - "Ġc ase", - "Ġappe ared", - "ĠM us", - "ĠRep ublic", - "ĠM er", - "ĠU K", - "et work", - "Ġ199 4", - "| |", - "ar ter", - "ar th", - "Ġs ports", - "Ġoff ice", - "ĠSp anish", - "ĠChin ese", - "Ġm other", - "ou l", - "ed eral", - "ĠAfric a", - "Ġtra ck", - "ĠK ore", - "m ar", - "Ġw eek", - "2 5", - "Ġ3 1", - "c ks", - "ĠT om", - "Ġ5 0", - "Ġm y", - "Ġk e", - "i que", - "Ġme et", - "Ġnov el", - "Ġcon d", - "Ġbir th", - "Ġdevelop ed", - "en c", - "Ġform ed", - "Ġin s", - "Ġh ous", - "it ive", - "y d", - "ak er", - "Ġ196 0", - "it ing", - "Ġmed al", - "ĠB ur", - "Ġhel p", - "Ġa ut", - "ĠCar ol", - "Ġgu itar", - "ad es", - "Ġla un", - "Ġass ist", - "ĠB en", - "Ġph ot", - "ĠIn ter", - "ĠT er", - "ul a", - "k n", - "ĠD an", - "ap t", - "Ġwork ing", - "e h", - "du ction", - "Ġd oc", - "Ġar r", - "Ġm aking", - "Ġimport ant", - "Ġto urn", - "c le", - "ĠG reen", - "i ers", - "Ġarch ite", - "ĠH am", - "ĠTex as", - "ail ed", - "ud e", - "re land", - "Ġart ist", - "Ġc ast", - "ĠWh ite", - "ĠP et", - "Ġgro w", - "ed y", - "Ġm unicip", - "Ġap pl", - "Ġg ood", - "im ately", - "it ted", - "ĠWh ile", - "ĠD el", - "Ġv ot", - "b and", - "ĠP ublic", - "Ġof fer", - "t a", - "id ing", - "ĠK e", - "ĠB as", - "c ial", - "ĠS ports", - "g o", - "Ġl ess", - "Ġtrad ition", - "Ġschool s", - "m on", - "ert ain", - "ic les", - "ĠMinist er", - "r as", - "ĠJ ose", - "Ġl ive", - "id ae", - "al a", - "ĠC ons", - "Ġd ata", - "ro ll", - "one y", - "it her", - "Ġph ys", - "Ġf und", - "Ġ199 3", - "ĠDem ocrat", - "Ġty p", - "Ġother s", - "ens ive", - "Ġh uman", - "Ġsh ould", - "Ġd aughter", - "ol a", - "ĠT or", - "ab ly", - "epend ent", - "at ives", - "Ġem ploy", - "Ġro ck", - "Ġd i", - "Ġgro und", - "ĠP eter", - "osp ital", - "Ġre v", - "ĠFran k", - "Ġrec ogn", - "Ġm ater", - "Ġhim self", - "Ġst ar", - "overn or", - "all s", - "v iron", - "Ġbuild ings", - "Ġde cl", - "Ġ =", - "re y", - "ĠCath olic", - "ĠM el", - "ĠS ong", - "ut y", - "ĠRich ard", - "le g", - "Ġr ul", - ") :", - "Ġac ross", - "az ine", - "Ġav ail", - "Ġf ire", - "Ġcomp anies", - "ĠS ur", - "g en", - "h i", - "ic ation", - "ĠSw ed", - "19 5", - "al y", - "ĠB ill", - "Ġb ody", - "p ite", - "s y", - "en a", - "ate g", - "ol f", - "Ġan im", - "ant ed", - "Ġcamp aign", - "Ġst ations", - "and ing", - "at re", - "Ġl anguage", - "sh ire", - "m ost", - "ri a", - "Ġe ight", - "19 4", - "um e", - "Ġdo es", - "ĠW il", - "b our", - "Ġaver age", - "ĠM ass", - "ĠL u", - "ĠU p", - "ĠF ore", - "Ġm ot", - "Ġ199 1", - "ce ed", - "Ġbl ack", - "Ġqu al", - "Ġex ist", - "Ġbec om", - "ĠPar is", - "ĠSec ond", - "Ġplay ing", - "ut es", - "ric ket", - "o ice", - "ra el", - "ĠL at", - "Ġt ro", - "g ress", - "Ġmod ern", - "Ġl ow", - "ĠHen ry", - "em or", - "Ġdef e", - "ĠSup er", - "ĠVict or", - "he ast", - "19 3", - "Ġh ow", - "ĠS ant", - "Ġepis ode", - "Ġ18 4", - "Ġp aint", - "st ro", - "Ġc le", - "Ġ et", - "ĠC ro", - "Ġgrad u", - "o res", - "S t", - "z il", - "Ġst age", - "Ġd ivision", - "Ġd ram", - "Ġex ample", - "Ġd er", - "ĠGeor g", - "Ġc ross", - "em ents", - "Ġ4 0", - "w rit", - "ud d", - "Ġr adio", - "ad a", - "Ġne ver", - "Ġl iving", - "air s", - "ĠD ire", - "Ġperform ed", - "h ood", - "Ġf oc", - "ĠL os", - "Ġfem ale", - "emb ly", - "ch ie", - "oc key", - "and id", - "Ġw inn", - "eth od", - "ĠH on", - "Ġl ight", - "ĠS ome", - "Ġse par", - "Ġart ists", - "Ġbel ie", - "ĠRe v", - "Ġf ree", - "ĠSm ith", - "Ġpolitic ian", - "Ġac qu", - "ĠP enn", - "Ġass oci", - "w are", - "ĠOr der", - "Ġf ight", - "t ime", - "ur a", - "ent ial", - "Ġcont ract", - "ov iet", - "2 4", - "ĠChampionship s", - "ĠL ake", - "ĠB ut", - "ibr ary", - "ough t", - "Ġstr ong", - "ign ed", - "Ġsuccess ful", - "Ġmon ths", - "ĠF C", - "Ġre d", - "Ġkill ed", - "at ory", - "im ate", - "Ġfin ished", - "ĠEduc ation", - "av al", - "Ġpl aces", - "id ents", - "Ġcon struction", - "ĠCh ic", - "he ad", - "pe ople", - "k ed", - "ĠI reland", - "ĠO l", - "Ġg ave", - "Ġestablish ments", - "Ġ198 8", - "ĠC amp", - "Ġm us", - "av es", - "ĠG o", - "Ġavail able", - "ĠDe f", - "Ġcon du", - "Ġa way", - "Ġgo al", - "Ġ198 9", - "v a", - "Ġperforman ce", - "if f", - "ell ing", - "ĠO b", - "ĠS aint", - "Ġt re", - "Ġal though", - "id s", - "ĠP an", - "as c", - "ish op", - "Ġpro t", - "Ġbo oks", - "ran ch", - "il ities", - "viron ment", - "it a", - "ĠS pec", - "Ġj ournal", - "an o", - "Ġin formation", - "Ġ ide", - "ĠD ay", - "ad o", - "inal s", - "z a", - "ic ated", - "ĠFilm s", - "he re", - "ĠOlymp ic", - "Ġd am", - "ĠC ur", - "Ġt aken", - "ĠV ill", - "ĠW in", - "ĠNot es", - "le ft", - "ell a", - "Ġcap t", - "it ch", - "i qu", - "ĠBra zil", - "ĠIs rael", - "ĠD u", - "ific ant", - "Ġshow s", - "Ġfollow ed", - ", \"", - "Ġr ank", - "o o", - "Ġag re", - "ĠR ob", - "ĠC areer", - "Ġto ur", - "ug by", - "Ġc ost", - "Ġm ix", - "ĠVirgin ia", - "Ġhe alth", - "Ġfr ont", - "Ġj ud", - "om a", - "ĠG overnment", - "Ġinclud es", - "Ġaward ed", - "Ġc irc", - "ut ch", - "Ġtourn ament", - "Ġc our", - "ĠM a", - "ĠL ife", - "ĠM in", - "\" |", - "Ġfeat ures", - "ig an", - "Ġ :", - "ĠJ ust", - "I I", - "Ġvi ol", - "Ġoriginal ly", - "Ġdesign ed", - "s erv", - "ĠT our", - "ĠAt l", - "Ġhouse hold", - "ĠH ill", - "ag ed", - "nd er", - "n y", - "i os", - "Ġac cess", - "Ġmater ial", - "ĠTe am", - "Ġse ven", - "se c", - "Ġs en", - "ve y", - "Ġc ourt", - "ĠE mp", - "e g", - "ĠC arl", - "ĠIt s", - "ĠM r", - "Ġim pro", - "Ġp ut", - "om s", - "Ġc ivil", - "Ġrel ig", - "2 6", - "Ġrem ained", - "ĠP erson", - "ĠHistor ic", - "Ġs ound", - "ĠAr ts", - "Ġs il", - "ist an", - "Ġstud y", - "Ġl ab", - "en ed", - "ĠG all", - "ĠR ock", - "Ġon ce", - "ĠG ra", - "2 7", - "Ġfeat ured", - "Ġin j", - "Ġd ou", - "ĠRail way", - "er ous", - "ar ia", - "ĠS qu", - "Ġfor ces", - "atri ate", - "Ġsc ored", - "ĠL and", - "ur ity", - "Ġc y", - "Ġ ill", - "om m", - "Ġt est", - "Ġ #", - "Ġp ress", - "ac hes", - "Ġ198 7", - "ol k", - "Ġb ar", - "ĠChic ago", - "2 8", - "he st", - "it es", - "Ġmark et", - "Ġbas ketball", - "ip le", - "Ġde v", - "Ġre b", - "Ġsing er", - "Ġsign ificant", - "ĠM o", - "ach ing", - "ap s", - "il ies", - "Ġpl an", - "end er", - "Ġex ecut", - "r or", - "ĠS oviet", - "ic ations", - "re l", - "Ġlead ing", - "Ġtra ining", - "em s", - "ĠSc ot", - "v in", - "Ġpol ice", - "Ġmed ia", - "ĠFor ce", - "Ġe arn", - "ver t", - "ĠS ub", - "y e", - "ic y", - "Ġ195 0", - "ĠM il", - "C h", - "Ġm ount", - "Ġlarg est", - "Ġr ights", - "ĠS ir", - "ear ch", - "ĠComm ission", - "augh t", - "ĠT wo", - "ĠItal y", - "m ier", - "A mer", - "ĠS o", - "ĠPro fess", - "Ġ198 6", - "our ce", - "Ġm ust", - "Ġair craft", - "Ġst ri", - "ĠM od", - "Ġmod el", - "ut er", - "ĠMex ico", - "Ġ198 4", - "Ġch art", - "Ġen c", - "y p", - "Ġs em", - "ĠCl ass", - "ĠI ll", - "Ġthrough out", - "ĠPol it", - "Ġl iter", - "ist ics", - "ĠP arliament", - "Ġg old", - "Ġtrans fer", - "Ġcons ist", - "v ing", - "ĠS ince", - "ĠMar k", - "Ġinvol ved", - "Ġc ou", - "ĠC at", - "Ġlist ed", - "Ġsub sequ", - "ord er", - "Ġst ated", - "ien ces", - "Ġwh ite", - "ĠO ff", - "ĠAn n", - "Ġw id", - "un k", - "Ġbo ard", - "s el", - "Ġintro duced", - "Ġrepl aced", - "ĠIr ish", - "Ġs ugg", - "ann el", - "Ġe arl", - "Ġse en", - "Ġcompet ition", - "Ġb i", - "Ġ18 3", - "un s", - "ĠE r", - "ĠProv ince", - "ĠFlor ida", - "Ġc andid", - "Ġd iv", - "if t", - "6 0", - "2 9", - "Ġtrans l", - "ĠN avy", - "ĠM ur", - "Ġ198 5", - "Ġwrit er", - "Ġevent ually", - "Ġpriv ate", - "Ġv ia", - "Ġresp ons", - "rib ution", - "ut ure", - "ĠTe chn", - "Ġcrit ic", - "Ġresult s", - "Ġent ire", - "u ff", - "Ġvoc als", - "c her", - "Ġab le", - "u z", - "um m", - "ĠD o", - "te xt", - "Ġr an", - "Ġadd ed", - "ret ary", - "ĠAl though", - "Ġc ollege", - "ĠD en", - "Ġpro ble", - "ĠO per", - "ĠComm ittee", - "ĠF estival", - "Ġfour th", - "ĠS il", - "o ch", - "Ġp ast", - "Ġcount ries", - "ĠF in", - "as k", - "ĠB us", - "ro ad", - "A S", - "el t", - "ĠW ales", - "c ript", - "Ġw ind", - "ĠAngel es", - "y r", - "ĠO ver", - "Ġcent ral", - "Ġst e", - "Ġact ress", - "m b", - "uf act", - "Ġsur v", - "as ing", - "ul arly", - "Ġa ud", - "Ġwrit ers", - "u a", - "ian o", - "Ġcomm and", - "Ġass ociation", - "Ġle ast", - "m in", - "Ġres pect", - "i res", - "ĠBro wn", - "ĠE v", - "Ġl oss", - "yl van", - "Amer ican", - "Ġsp ace", - "por ary", - "Ġs er", - "A R", - "ĠSc ience", - "ĠO ut", - "mer cial", - "8 0", - "ĠN orthern", - "Ġun its", - "ĠM ost", - "ab ility", - "f ic", - "ĠR h", - "Ġn omin", - "ĠF ound", - "ĠSt ar", - "ĠRuss ia", - "Ġm inist", - 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"Cal iforn", - "i end", - "con stru", - "con om", - "part ment", - "an e", - "E m", - "v ious", - "feren ce", - "k ill", - "includ ed", - "h istory", - "se qu", - "ide o", - "B el", - "id ge", - "g ames", - "E ast", - "O ne", - "S tr", - "Rom an", - "L i", - "in du", - "estab lish", - "D em", - "cent er", - "origin al", - "s elf", - "um an", - "o de", - "pe ct", - "lar ge", - "c rit", - "ass oci", - "n ov", - "us ,", - "Q u", - "m ag", - "ak es", - "d el", - "F in", - "use um", - "ct ure", - "S m", - "et y", - "comp an", - "2 2", - "add ition", - "Ch urch", - "m a", - "Gen eral", - "e qu", - "polit ic", - "s it", - "( 199", - "B C", - "play er", - "charac ter", - "m ale", - "on es", - "M usic", - "v oc", - "n ing", - "ough t", - "at s", - "ain s", - "peri od", - "9 )", - "As soci", - "w ent", - "W il", - "v ir", - "n et", - "Austral ian", - "1 00", - "cl os", - "tr ad", - "s en", - "us h", - "death s", - "201 0", - "k m", - "iz ation", - "ch ang", - "gr ess", - "co ach", - "Is land", - "cl aim", - "m en's", - "ra il", - "pe c", - "ap pro", - "Fran ce", - "c ult", - "p ur", - "ction s", - "comp os", - "min istr", - "differ ent", - "ay s", - "it ch", - "M or", - "re c", - "V al", - "t em", - "plac ed", - "att le", - "in cre", - "et s", - "st ill", - "a ud", - "4 0", - "ch urch", - "C ap", - "2 6", - "f un", - "an other", - "ib ut", - "th ose", - "ip t", - "f em", - "d ist", - "R iver", - "Th om", - "r i", - "Geor ge", - "g in", - "b est", - "m iss", - "re ach", - "2 7", - "v ot", - "pos s", - "il y", - "le ct", - "P al", - "att ack", - "um b", - "produ ced", - "P ort", - "we b", - "n a", - "2 8", - "T o", - "c ell", - "( )", - "at ter", - "ap point", - "l ate", - "Q ue", - "Ro yal", - "l ight", - "langu age", - "h ar", - "Europe an", - "u el", - "iv il", - "av er", - "H ol", - "s old", - "writ ten", - "F ir", - "announ ced", - "de but", - "C our", - "serv ice", - "in ternational", - "P o", - "Y ear", - "b as", - "fl u", - "Wh en", - "J ames", - "Ch in", - "ourn al", - "re fer", - "it or", - "D ivision", - "Canad ian", - "P aul", - "W om", - "wh at", - "D an", - "pre vious", - "os p", - "in ,", - "ain ed", - "P ub", - "bus iness", - "\" The", - "R ich", - "un icip", - "h ost", - "g ar", - "M ount", - "om b", - "st or", - "S al", - "form ation", - "ip p", - "gen eral", - "te chn", - "b g", - "ep is", - "of ten", - "v o", - "D on", - "it ar", - "am ong", - "m ake", - "bg color", - "W ith", - "Ac adem", - "s ent", - "te xt", - "C A", - "ro le", - "pro ject", - "t urn", - "Re cord", - "ev en", - "Dav id", - "b ar", - "L ou", - "en c", - "St reet", - "a el", - "ex pl", - "for man", - "ab or", - "St at", - "l er", - "produ ction", - "o x", - "M y", - "es h", - "St .", - "marr ied", - "em pt", - "im ent", - "tit le", - "18 5", - "R ed", - "u es", - "re al", - "un ch", - "pl oy", - "ele ct", - "qu ar", - "in it", - "T ran", - "inv ol", - "Coun cil", - "F ootball", - "id a", - "g er", - "and er", - "y oung", - "Pres ident", - "st er", - "H istor", - "cre t", - "res earch", - "fr iend", - "Cl ub", - "b od", - "p en", - "as tern", - "av y", - "op h", - "cre ated", - "im port", - "as ,", - "p s", - "hal f", - "F C", - "B ro", - "se e", - "Fir st", - "v ict", - "200 8", - "Part y", - "ro du", - "2 9", - "eng ine", - "c ame", - "jo ined", - "r en", - "S ing", - "201 1", - "A p", - "g iven", - "iv id", - "il ar", - "J e", - "Bl ack", - "n ess", - "R ail", - "ell ow", - "S en", - "Fr om", - "Ro bert", - "T im", - "n on-", - "200 6", - "S port", - "to tal", - "umn i", - "ever y", - "Ar ch", - "n ight", - "ed er", - "t ,", - "ro te", - "act ion", - "work s", - "Ar my", - "ef fect", - "ition s", - "polit ical", - "Fl or", - "St ud", - "commun ity", - "sh ire", - "g ed", - "D .", - "ib r", - "vers ion", - "start ed", - "develop ment", - "y ing", - "mill ion", - "ou thern", - "c arr", - "work ed", - "Z e", - "pres ident", - "T ur", - "pro te", - "M ag", - "F .", - "ree k", - "D is", - "it te", - "dire ctor", - "var ious", - "M art", - "J .", - "k ing", - "T own", - "B est", - "ic o", - "m ilitary", - "l iving", - "prom ot", - "H en", - "v es", - "a ur", - "r ain", - "pr im", - "I r", - "or ,", - "In stit", - "v ice", - "201 2", - "200 7", - "V ir", - "ac c", - "w rote", - "h aving", - "in o", - "m uch", - "Afr ican", - "y l", - "Gr oup", - "200 9", - "' t", - "cr aft", - "ard s", - "est ed", - "M ex", - "Ital ian", - "spec ial", - "profess ional", - "t ake", - "v ideo", - "ag ed", - "childr en", - "ne xt", - "ar ed", - "M ary", - "re am", - "bur g", - "ir l", - "S am", - "Russ ian", - "Ro ad", - "B ur", - "ask et", - "int rodu", - "be come", - "M id", - "Japan ese", - "Comm un", - "pos ed", - "i us", - "et t", - "i j", - "T w", - "coun tr", - "augh ter", - "h ib", - "L aw", - "0 )", - "r u", - "B al", - "og n", - "J er", - "ele cted", - "pro cess", - "ge ther", - "end ing", - "we ek", - "M ac", - "h on", - "W ash", - "open ed", - "m ult", - "L u", - "T er", - "m al", - "d et", - "per forman", - "S oci", - "g g", - "st ory", - "Th ese", - "K ar", - "e ast", - "cent ur", - "C am", - "f ew", - "dire ct", - "ab ility", - "pop ular", - "18 4", - "Pl ay", - "M ad", - "ol ic", - "dr aw", - "return ed", - "son ,", - "d est", - "an .", - "er ing", - "l ow", - "al ,", - "201 3", - "chan ge", - "Sc ott", - "201 4", - "olog ical", - "oc r", - "201 6", - "M er", - "ig r", - "du c", - "E 9", - "H all", - "ag o", - "im in", - "i y", - "t t", - "grad u", - "com b", - "n d", - "J ack", - "im m", - "B ra", - "c is", - "le ar", - "continu ed", - "M iss", - "Wash ington", - "li ament", - "ak en", - "offic ial", - "d le", - "g reat", - "cr ipt", - "l if", - "co -", - "pl ic", - "a 's", - "Austral ia", - "l l", - "K e", - "part icip", - "iv ely", - "C ath", - "c .", - "ward s", - "pr act", - "with out", - "M .", - "Ac cording", - "an im", - "( 198", - "l ost", - "a ut", - "ful l", - "qu ad", - "football ers", - "itt le", - "ro ck", - "be g", - "s ocial", - "Gr and", - "Le g", - "Y ou", - "el ,", - "b road", - "V ol", - "sim ilar", - "Pro v", - "it z", - "201 5", - "S l", - "con ne", - "S un", - "asket ball", - "d am", - "style =\"", - "appoint ed", - "our ces", - "R ad", - "part ic", - "Cent ral", - "found ed", - "p .", - "a it", - "e conom", - "n ed", - "ro om", - "ne ed", - "g es", - "U K", - "A lex", - "Olymp ic", - "i ke", - "Su per", - "Associ ation", - "e cut", - "E r", - "T our", - "C ast", - "ac qu", - "com ing", - "Off ic", - "est ival", - "r .", - "art ist", - "J ew", - "ass ist", - "us es", - "N A", - "io graphy", - "en se", - "I m", - "dire cted", - "ers hip", - "ber g", - "King dom", - "op s", - "M et", - "201 8", - "th od", - "a ign", - "on .", - "ict ion", - "sign ed", - "fr ont", - "indu str", - "200 0", - "h a", - "inv est", - "S k", - "N o.", - "re view", - "Sp an", - "d aughter", - "coun try", - "att empt", - "M useum", - "al and", - "re -", - "f all", - "contr ol", - "r is", - "pro per", - "al umni", - "Californ ia", - "ly ,", - "H ill", - "h ol", - "W estern", - "om et", - "Ang el", - "20 th-century", - "al .", - "loc k", - "b ase", - "S im", - "Un ion", - "T ex", - "dis c", - "m other", - "Thom as", - "S ummer", - "con cer", - "pr iv", - "B en", - "1 st", - "is l", - "se ven", - "G old", - "201 7", - "se x", - "E duc", - "Cour t", - "h an", - "te ach", - "way s", - "to gether", - "en a", - "record ed", - "Ear ly", - "Pr of", - "f ire", - "Char les", - "c oll", - "bgcolor =", - "be h", - "ind ivid", - "Christ ian", - "O ther", - "h uman", - "es ter", - "Mich ael", - "G o", - "success ful", - "an ces", - "B ay", - "V ict", - "V er", - "D o", - "st on", - "G reat", - "gu itar", - "al d", - "De partment", - "C are", - "m aking", - "it .", - "P an", - "le ague", - "f ind", - "h ab", - "appear ed", - "6 0", - "to ur", - "y r", - "200 5", - "Span ish", - "tr av", - "T or", - "album s", - "ou te", - "Pe ter", - "qu al", - "m ission", - "aw ay", - "In ter", - "f urther", - "Bo ok", - "ag e,", - "b i", - "em ploy", - "- year", - "G ames", - "f ace", - "M us", - "consid ered", - "bir th", - "T om", - "ens ive", - "Ind ia", - "c op", - "h ous", - "vil le", - "trad ition", - "Mar k", - "bgcolor= #", - "21 st", - "work ing", - "depend ent", - "i als", - "200 4", - "g am", - "c u", - "( S", - "G reen", - "for t", - "in flu", - "song s", - "em or", - "h or", - "l ive", - "n el", - "P op", - "ar a", - "Lou is", - "bl ack", - "m ot", - "p at", - "back ground", - "Vir gin", - "g ood", - "S ur", - "ter min", - "en cy", - "n at", - "d ivision", - "play ing", - "id ence", - "Re public", - "g row", - "18 3", - "B ill", - "land ,", - "M il", - "th ing", - "o le", - "team s", - "sem b", - "s al", - "and ,", - "Ze aland", - "ad ministr", - "ex ist", - "complet ed", - "ap er", - "at ors", - "K ore", - "d oc", - "ph ys", - "b our", - "contr act", - "D el", - "c up", - "ste ad", - "F A", - "constru ction", - "me et", - "la unch", - "ag re", - "str ong", - "r ace", - "tim e,", - "ty p", - "align= right", - "ac y", - "ific ation", - "Chin ese", - "A g", - "ct s", - "t ing", - "ic le", - "Fran k", - "cover ed", - "Car ol", - "c ase", - "de g", - "establish ments", - "cr ed", - "t ar", - "Jo se", - "arch ite", - "pl ant", - "a -", - "m unicip", - "Cath olic", - "N o", - "of fer", - "partic ular", - "E le", - "be t", - "import ant", - "r ul", - "U p", - "h ow", - "f ail", - "Rich ard", - "M el", - "Pub lic", - "g ian", - "S ome", - "ip le", - "m s", - "ty pe", - "in st", - "id =", - "to urn", - "Wh ile", - "land s", - "Dem ocr", - "osp ital", - "is ing", - "report ed", - "mod ern", - "hel p", - "w id", - "web site", - "av ail", - "Min ister", - "I re", - "W ork", - "M ont", - "ed eral", - "develop ed", - "in j", - "nov el", - "f ree", - "ph oto", - "mark et", - "c ir", - "od es", - "rec ogn", - "m us", - "ate g", - "de fe", - "D u", - "S ong", - "L at", - "c al", - "( 197", - "Sw ed", - "Fran cis", - "sh ould", - "ou l", - "ran ge", - "I l", - "202 1", - "|- id=", - "c us", - "med al", - "su per", - "it ive", - "w ord", - "f und", - "m ater", - "ot s", - "are as", - "K r", - "part y", - "f an", - "er a", - "( C", - "de cl", - "act ive", - "te en", - "him self", - "T ele", - "vir on", - "Sm ith", - "our s", - "ul ated", - "inter est", - "s il", - "Se cond", - "go al", - "D ay", - "eng th", - "politic ian", - "epis ode", - "ev ents", - "list ed", - "r id", - "wh ite", - "day s", - "M ill", - "ab ly", - "3 5", - "i ers", - "R .", - "M a", - "w ide", - "camp aign", - "S aint", - "con du", - "p ite", - "t re", - "Vict or", - "reg ular", - "ac ross", - "pl an", - "rad io", - "stit ut", - "l iter", - "M ass", - "d on", - "le cted", - "E .", - "j ud", - "L os", - "Canad a", - "vi ol", - "le te", - "S ov", - "itte e", - "mon th", - "D ire", - "it ,", - "se ction", - "B ut", - "H arr", - "t aken", - "3 1", - "ur r", - "um p", - "chil d", - "B .", - "im ately", - "Amer ica", - "f oc", - "at re", - "j ournal", - "200 3", - "ith er", - "br idge", - "do es", - "g un", - "off ice", - "p aint", - "al though", - "St ar", - "d 6", - "( A", - "rele ase", - "overn or", - "200 2", - "h om", - "s :", - "ne ver", - "bel ie", - "Bra z", - "- s", - "f ig", - "itt ed", - "Instit ute", - "c ost", - "comm on", - "P enn", - "aver age", - "se par", - "season .", - "f ight", - "Academ y", - "C he", - "serv ices", - "ex amp", - "ce ed", - "al y", - "ro y", - "crit ic", - "fem ale", - "202 2", - "v ia", - "cour t", - "Is ra", - "S o", - "avail able", - "t a", - "curr ent", - "stud ents", - "writ ers", - "if f", - "g ot", - "4 5", - "C O", - "viron ment", - "h ood", - "Hen ry", - "Award s", - "h ard", - "and id", - "m ount", - "bro ther", - "av al", - "bo x", - "ac es", - "Soci ety", - "bod y", - "Or der", - "8 0", - "m ix", - "mer c", - "is .", - "in -", - "ar i", - "C amp", - "At l", - "st age", - "m ing", - "fin ished", - "Wh ite", - "reg ion", - "performan ce", - "w estern", - "R ock", - "tourn ament", - "H on", - "ol f", - "2 nd", - "ish op", - "ibr ary", - "Sov iet", - "200 1", - "per formed", - "Braz il", - "J ust", - "group s", - "s aw", - "rel ated", - "rel ation", - "g ave", - "S pec", - "ed y", - "il es", - "il ities", - "writ er", - "c it", - "Ch ic", - "origin ally", - "inn ing", - "d iv", - "c ens", - "V ill", - "d ou", - "S up", - "H am", - "on ce", - "educ ation", - "an i", - "ic ult", - "l ab", - "d ata", - "s ay", - "P erson", - "ut ch", - "o graph", - "comm and", - "Cent er", - "L and", - "21st -century", - "he alth", - "G overnment", - "bre ak", - "Te am", - "r d", - "ran ch", - "P .", - "Tex as", - "H u", - "ex peri", - "e ight", - "ac cess", - "in e,", - "li k", - "season ,", - "compet ition", - "ist ic", - "cent ral", - "Ch ina", - "l os", - "S A", - "Not es", - "s el", - "Ger many", - "pr int", - "B A", - "rel ig", - "lead ing", - "r ap", - "Sc ot", - "tr ess", - "um e", - "oc key", - "av es", - "on to", - "u z", - "Care er", - "ific ant", - "im es", - "p atr", - "plac es", - "includ es", - "mod el", - "larg est", - "O ver", - "Ire land", - "( M", - "s ound", - "ug by", - "re y", - "b asketball", - "at ory", - "L .", - "design ed", - "p ot", - "Rail way", - 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"c on", - "ure d", - "Ġl ist", - "Ġs uc", - "ĠGe or", - "p ed", - "Ġe arly", - "Ġa ir", - "ĠB ar", - "Ġcont in", - "Ġ '", - "Ġto wn", - "Ġcomp et", - "Ġcl ub", - "ĠE l", - "Ġm in", - "Ġres ult", - "h am", - "ib le", - "1 2", - "ĠA nd", - "ĠH ar", - "ĠH istory", - "is ed", - "al ly", - "Ġs ince", - "ic es", - "ain s", - "st er", - "19 9", - "ĠThe y", - "ĠP art", - "b o", - "r ing", - "Ġn ear", - "ang u", - "Ġn amed", - "Ġorig inal", - "end ed", - "u ed", - "ĠCh rist", - "at a", - "Ġhe ad", - "ĠA b", - "1 6", - "Ġb el", - "Ġdis c", - "Ġpl ace", - "ĠF rench", - "id ed", - "i ence", - "Ġ201 1", - "ĠRe p", - "Ġc ur", - "Ġbe gan", - "il le", - "Ġt it", - "Ġus e", - "iv al", - "an e", - "re en", - "Ġpro gram", - "ĠU S", - "Ġv ill", - "Ġm ember", - "Ġm embers", - "1 5", - "Ġp rom", - "Ġhe ld", - "Ġan y", - "Ġl and", - "ĠCom p", - "Ġb ased", - "ain t", - "ĠR es", - "ĠM c", - "Ġthe se", - "Ġcomp le", - "b le", - "Ġap p", - "m e", - "Ġsup port", - "oun c", - "ĠAf ric", - "al ity", - "Ġg overnment", - "r ight", - "Ġ200 8", - "ĠR uss", - "Ġm et", - "Ġ201 2", - "Ġw e", - "ĠR o", - "a ugh", - "Ġ19 0", - "ĠA ir", - "Ġestabl ished", - "i ous", - "Ġal ong", - "Ġe ff", - "t he", - "Ġ ,", - "ĠE ast", - "ĠCh ampionship", - "Ġdesc rib", - "T he", - "in ess", - "Ġen g", - "ition s", - "ĠC ollege", - "Ġp ass", - "ĠWill iam", - "ĠG en", - "an a", - "od e", - ". .", - "Ġd ist", - "pe ct", - "al th", - "ad em", - "Ġ200 9", - "Ġloc ated", - "ur g", - "u k", - "ĠThe re", - "at or", - "ical ly", - "ĠH er", - "or m", - "ac ed", - "Ġd id", - "Ġl aw", - "in o", - "Ġc ol", - "Ġo cc", - "Ġchar act", - "che s", - "f ord", - "ĠAr t", - "c ol", - "at s", - "i en", - "ubl ic", - "ĠP eople", - "Ġp os", - "Ġy ou", - "Ġ201 3", - "ond on", - "ĠN e", - "oci ation", - "ĠIt al", - "Ġ200 6", - "Ġ200 7", - "Ġh ouse", - "Ġe ach", - "t o", - "ĠH igh", - "ing ton", - "ore d", - "Ġ201 4", - "ro w", - "Ġ201 6", - "Ġserv ed", - "our t", - "ĠF ilm", - "Ġto ok", - "qu e", - "Ġs im", - "k y", - "Ġ X", - "1 4", - "ĠRe c", - "Ġb and", - "Ġt r", - "Ġst ation", - "Ġh ome", - "ĠD istrict", - "Ġb us", - "av ing", - "ĠS y", - "ĠIn ternational", - "Ġb orn", - "Ġg ames", - "Ġn ational", - "m ed", - "ly mp", - "i et", - "ĠA c", - "Ġin st", - "Ġ201 5", - "re w", - "er g", - "Ġpro fess", - "in ed", - "Ġ201 8", - "ight s", - "p s", - "Ġcomp any", - "Ġl ine", - "Ġp erson", - "1 3", - "ĠO lymp", - "Ġpopul ation", - "Ġm ajor", - "Ġ18 9", - "ac es", - "our n", - "Ġ20 20", - "ĠD av", - "ill ion", - "ĠL iving", - "ĠL ondon", - "Ġ201 7", - "ĠSe c", - "Ġs l", - "Ġb as", - "Ġj oin", - "Ġsm all", - "Ġle g", - "Ġloc al", - "ĠInd ian", - "ĠL a", - "ard s", - "Ġv ari", - "Ġrece ived", - "Ġde b", - "Ġev ent", - "Ġ2 5", - "Ġgen eral", - "Ġman ag", - "Ġpubl ished", - "Ġte levision", - "ĠC up", - "et t", - "Ġcent ury", - "ĠN ot", - "ilit ary", - "s ide", - "et er", - "Ġ3 0", - "at ure", - "Ġ201 9", - "Ġsing le", - "Ġbu ilt", - "ĠS up", - "Ġv i", - "ĠPh il", - "a ul", - "Ġd ue", - "Ġc ould", - "Ġv ers", - "ĠH owever", - "Ġ $", - "Ġap pro", - "ar ge", - "Ġw orld", - "Ġspec ies", - "ar a", - "Ġc olle", - "um n", - "Ġsuc cess", - "ie f", - "ounc il", - "Ġp o", - "v ers", - "Ġst r", - "in t", - "Ġa round", - "ord ing", - "if ied", - "ĠA ng", - "uth or", - "id es", - "at ely", - "om in", - "ĠG l", - "Ġo ld", - "Ġed uc", - "ĠT r", - "arri ed", - "ĠL ist", - "ĠN o", - "Ġt erm", - "is on", - "ro l", - "ĠC or", - "um mer", - "Ġa ge", - "ff ic", - "l ing", - "ĠT ra", - "ĠH ouse", - "Ġhe l", - "Ġal ign", - "Ġe p", - "ord s", - "e f", - "oc ial", - "ĠP ark", - "r ation", - "Ġp resent", - "ĠP re", - "Ġle ft", - "Ġl ast", - "Ġs ix", - "ĠE n", - "Ġh istory", - "Ġn ow", - "i od", - "a im", - "Ġs aid", - "ĠS an", - "Ġt y", - "Ġ200 0", - "Ġrep resent", - "re et", - "a us", - "id d", - "ra ft", - "t t", - "Ġd ied", - "Ġplay er", - "op h", - "Ġ 0", - "Ġre st", - "1 1", - "Ġc amp", - "iz ation", - "ĠD uring", - "Ġc ar", - "Ġl a", - "um b", - "angu age", - "Ġto p", - "ne y", - "Ġp ar", - "ĠB r", - "on es", - "Ġvill age", - "Ġwith in", - "ĠM ich", - "Ġd et", - "iv en", - "Ġst yle", - "Ġf ive", - "Ġ200 5", - "Ġt ri", - "Ġn orth", - "Ġsh ort", - "Ġ2 4", - "v an", - "ĠR oy", - "Ġor der", - "ide o", - "Ġ18 8", - "Ġd ay", - "in k", - "ĠD es", - "o ks", - "et her", - "u f", - "Ġdescrib ed", - "ak es", - "s c", - "ow s", - "ur ther", - "19 8", - "ent ly", - "Ġth ird", - "Ġbuild ing", - "al k", - "Ġinclud e", - "ĠR iver", - "Ġinclud ed", - "Ġp ost", - "um ent", - "Ġd own", - "ast er", - "if orn", - "ĠP er", - "Ġdif fer", - "d ay", - "he m", - "ĠA g", - "Ġchild ren", - "Ġre port", - "ur s", - "ĠEng land", - "c o", - "ĠCh ar", - "Ġ202 1", - "att le", - "Ġre f", - "vi ous", - "Ġre qu", - "ĠS ch", - "ĠA ct", - "n a", - "er a", - "feren ce", - "Ġbec ause", - "ke y", - "t ain", - "iforn ia", - "Ġad m", - "ĠB y", - "th ough", - "Ġann oun", - "Ġl arge", - "Ġcons id", - "iv ely", - "re g", - "ĠG ro", - "ĠM al", - "Ġs outh", - "g round", - "Ġs on", - "ĠAustral ia", - "Ġ200 4", - "ic o", - "Ġd em", - "rid ge", - "ri end", - "Ġd istrict", - "ĠCal ifornia", - "l er", - "col or", - "Ġst and", - "ĠP ort", - "ĠB ra", - "Ġm ark", - "ĠM on", - "os p", - ". ,", - "use um", - "ct ure", - "Ġar ch", - "Ġp ower", - "inn ing", - "Ġst at", - "Ġbo ok", - "uc k", - "od y", - "ĠY ou", - "ĠPart y", - "en cy", - "Ġl o", - "Ġdeath s", - "ri pt", - "Ġ202 2", - "Ġc rit", - "ad io", - "it er", - "part ment", - "land s", - "in ing", - "Ġw ar", - "con om", - "um an", - "Ġappe ar", - "Ġc or", - "ĠD em", - "Ġm ale", - "Ġl arg", - "k a", - "Ġis s", - "ĠR oman", - "re st", - "Ġ18 6", - "Ġj ust", - "ist er", - "Ġ2 2", - "Ġre pl", - "ĠB el", - "c er", - "al d", - "al f", - "Ġw ater", - "Ġserv ice", - "g ed", - "Ġper iod", - "Ġn on", - "Ġper form", - "Ġadd ition", - "n ess", - "Ġres p", - "v es", - "Ġk ill", - "am ent", - "oci ety", - "ĠA nt", - "Ġde p", - "ee k", - "Ġv is", - "he l", - "our s", - "e le", - "Ġre fer", - "ĠS m", - "a ff", - "er ing", - "ĠO ne", - "Ġmov ed", - "ĠA ward", - "en se", - "Ġc r", - "ĠE m", - "Ġdiffer ent", - "iz e", - "Ġcur rent", - "ĠAustral ian", - "Ġro und", - "Ġl ike", - "ot e", - "rib ut", - "5 0", - "ĠAr my", - "Ġ2 3", - "Ġinc re", - "om b", - "Ġm illion", - "Ġl ed", - "k i", - "l ine", - "ĠN or", - "p ar", - "Ġt rad", - "Ġbus iness", - "am a", - "ĠA cc", - "t al", - "av y", - "her n", - "ĠM inist", - "Ġan other", - "Ġth ose", - "o on", - "Ġh istor", - "ĠR ober", - "op s", - "o f", - "Ġsh ip", - "Ġ18 7", - "Ġe qu", - "Ġst ill", - "and er", - "Ġ if", - "Ġf ather", - "Ġ el", - "Ġf ield", - "Ġw est", - "ĠJ ames", - "Ġd el", - "ĠInd ia", - "Ġex per", - "Ġa uthor", - "i ber", - "ĠM or", - "ĠSt e", - "d e", - "ep end", - "Ġf ac", - "c hed", - "iv il", - "Ġact iv", - "Ġh and", - "Ġcomp os", - "ĠCh urch", - "ĠM usic", - "Ġbe st", - "ĠGen eral", - "ĠFran ce", - "Ġp ort", - "Ġk m", - "o x", - "Ġannoun ced", - "Ġin ternational", - "Ġdeb ut", - "stru ction", - "Ġtit le", - "Ġcount ry", - "d om", - "ĠQ u", - "Ġs old", - "Ġf em", - "ĠTh om", - "Ġw in", - "as es", - "Ġ200 3", - "v ille", - "Ġ( )", - "Ġestabl ish", - "ĠY ear", - "19 7", - "u el", - "Ġcharact er", - "Ġe ast", - "Ġpolit ic", - "ĠGeor ge", - "ĠD ivision", - "f ield", - "un icip", - "us h", - "Ġs ide", - "c ast", - "Ġp at", - "Ġd ra", - "b e", - "ĠRoy al", - "Ġc ult", - "ourn al", - "ĠA p", - "an ish", - "re ad", - "Ġn ov", - "Ġa v", - "g color", - "Ġpre vious", - "ĠM ount", - "g in", - "Ġm ake", - "ĠEurope an", - "Ġ very", - "ri es", - "a el", - "ĠQ ue", - "ĠP e", - "ort hern", - "Ġa ward", - "ĠCl ub", - "ĠCanad ian", - "Ġset t", - "ug g", - "ĠAc adem", - "Ġele ction", - "Ġpro ject", - "ip p", - "l in", - "le x", - "ĠP al", - "Ġam ong", - "m s", - "ap p", - "ab or", - "Ġw orks", - "ĠV al", - "ĠG r", - "Ġ2 6", - "ĠCanad a", - "Ġ200 2", - "ĠE le", - "i us", - "ĠR ich", - "Ġf r", - "al ign", - "Ġro le", - "g es", - "Ġpro duced", - "ĠW hen", - "w ork", - "ĠP aul", - "Ġf e", - "Ġm ag", - "pl oy", - "for man", - "Ġle vel", - "ĠB u", - "o ff", - "Ġof ten", - "ol ution", - "Ġa ff", - "Ġl ate", - "Ġs pe", - "Ġre ad", - "Ġw eb", - "a pe", - "ĠDav id", - "ĠC ouncil", - "Ġth ough", - "Ġinv ol", - "Ġre se", - "Ġb gcolor", - "ĠF ootball", - "Ġp e", - "Ġ199 0", - "it ar", - "st on", - "at ch", - "Ġwrit ten", - "Ġex pl", - "Ġ2 8", - "Ġ2 7", - "or ies", - "im ent", - "ĠL ou", - "Ġeng ine", - "Ġf ore", - "ĠH ol", - "Ġep is", - "ĠAss ociation", - "Ġ es", - "stit ute", - "Ġad v", - "b ack", - "Ġte chn", - "ac ks", - "Ġ200 1", - "ĠW ith", - "b an", - "ĠR ed", - "Ġstart ed", - "Ġev en", - "ĠD r", - "umn i", - "Ġyou ng", - "Ġp oss", - "Ġall ow", - "o le", - "em pt", - "Ġcl os", - "iv id", - "o e", - "ro te", - "Ġm arried", - "it or", - "Ġg rad", - "ĠR ail", - "v al", - "Ġc ame", - "Ġoffic ial", - "Ġin it", - "Ġc over", - "Ġim port", - "ĠP resident", - "Ġcre ated", - "ĠAmer ica", - "ou ther", - "Ġw ent", - "form ation", - "Ġg iven", - "Ġs ite", - "Ġto tal", - "ol ic", - "g y", - "ir c", - "ĠSt reet", - "al t", - "Ġst ru", - "Ġe very", - "ĠF irst", - "Ġt urn", - "outher n", - "Ġcommun ity", - "y a", - "ĠF rom", - "ĠS ing", - "er ation", - "w est", - "oin ted", - "ĠSt ud", - "3 0", - "Ġjoin ed", - "ra p", - "om et", - "Ġv al", - "Ġeff ect", - "ĠH istor", - "it te", - "ĠK h", - "Ġra il", - "ot s", - "Ġpolit ical", - "Ġch ang", - "Ġwork ed", - "Ġwh at", - "Ġp res", - "Ġcon c", - "i j", - "Ġvari ous", - "ir on", - "Ġf re", - "Ġdevelop ment", - "ag o", - "ber t", - "ĠS en", - "ree k", - "ĠT own", - "Ġcon f", - "pos ed", - "s ite", - "ĠT rans", - "b or", - "ir l", - "Ġpro cess", - "m a", - "Ġ1 00", - "Ġt w", - "Ġv ideo", - "e al", - "Ġprofess ional", - "Ġele ct", - "her s", - "Ġf act", - "Ġm ilitary", - "ĠS l", - "ac hed", - "' t", - "ĠUn ion", - "Ġvers ion", - "at ic", - "olog ical", - "at ri", - "ĠGerman y", - "op e", - "re am", - "ĠGro up", - "Ġm uch", - "s elf", - "Ġpro te", - "Ġprodu ction", - "Ġh aving", - "Ġne xt", - "Ġcomm on", - "Ġb re", - "Ġcl aim", - "Ġbec ome", - "Ġspec ial", - "Ġg r", - "h old", - "ĠM art", - "Ġs ent", - "ĠH en", - "Ġm iss", - "Ġh ost", - "ĠB er", - "og n", - "Ġs w", - "ĠJ e", - "h ib", - "ĠV ir", - "ĠM ary", - "ĠM ag", - "Ġ198 0", - "ĠS er", - "ĠRo ad", - "o or", - "Ġus ing", - "ĠW e", - "Ġp ri", - "ĠBl ack", - "ĠAr ch", - "Ġ [", - "Ġdire ct", - "Ġreturn ed", - "ĠMe x", - "19 6", - "Ġw rote", - "Ġint ro", - "ĠP ri", - "Ġs it", - "Ġp resident", - "Ġpr im", - "m en", - "Ġt em", - "ĠItal ian", - "ĠM y", - "ĠJapan ese", - "Ġ199 9", - "est s", - "Ġ2 9", - "Ġg l", - "ĠAfric an", - "in ation", - "ĠT ur", - "Ġpos ition", - "Ġmat ch", - "h a", - "Ġan t", - "ict ion", - "ĠL aw", - "Ġdire ctor", - "i ography", - "m ing", - "ĠH all", - "oin ts", - "Ġteam s", - "Ġt ake", - "ĠW omen", - "Ġm ult", - "Ġch urch", - "Ġsong s", - "fl u", - "ĠThe se", - "Ġopen ed", - "Ġper forman", - "B C", - "ct s", - "il ar", - "ĠComm un", - "ĠW ash", - "ĠPro v", - "ivid ual", - "Ġf ew", - "Ġev ents", - "id a", - "Ġf un", - "ell ow", - "ĠG ames", - "Ġbe h", - "se qu", - "ĠS am", - "ĠRober t", - "arl iam", - "Ġv ol", - "ak en", - "ib r", - "itt le", - "ĠRuss ian", - "ĠLe g", - "an i", - "ent ion", - "e ad", - "ĠCh ina", - "oc rat", - "u le", - "ĠB est", - "l o", - "arliam ent", - "ar ian", - "g er", - "C A", - "ĠSc ott", - "2 1", - "Ġt imes", - "t ra", - "Ġst ory", - "Ġs ol", - "ĠO ther", - "ec ut", - "Ġpart icip", - "Ġw ay", - "Ġv oc", - "Ġfootball ers", - "y ing", - "ri an", - "Ġalbum s", - "ĠAcc ording", - "augh ter", - "Ġbe g", - "Ġh ig", - "ĠM ad", - "est ed", - "ĠC ap", - "ĠPl ay", - "un t", - "Ġf riend", - "Ġ199 8", - "ĠWash ington", - "it z", - "ĠC ourt", - "n ing", - "ic le", - "Ġatt ack", - "ket ball", - "ĠM iss", - "Ġro ad", - "stit ut", - "our ces", - "itte e", - "il es", - "an ies", - "Ġim p", - "Ġadm inist", - "ĠC ast", - "Ġpopul ar", - "Ġbro ther", - "Ġne ed", - "Ġwith out", - "ĠComp any", - "is l", - "ĠC ont", - "ĠThom as", - "at ter", - "Ġserv ices", - "ra g", - "an ces", - "a ur", - "Ġreg ion", - "end ing", - "Ġp ract", - "ĠS erv", - "Ġstud ents", - "idd le", - "Ġs k", - "Ġs ocial", - "od es", - "ĠC ath", - "Ġt er", - "ĠM en", - "ers hip", - "ĠS al", - "e x", - "wo od", - "ĠK n", - "a ign", - "Ġh alf", - "Ġbro ad", - "y ear", - "2 2", - "Ġg reat", - "Ġf ull", - "r ated", - "Ġcontin ued", - "Ġ197 0", - "Ġl ost", - "ĠA wards", - "ĠKing dom", - "ain ing", - "ĠCent ral", - "ĠS ociety", - "ac y", - "c raft", - "Ġco ach", - "y m", - "Ġm id", - "ĠM ont", - "ĠG rand", - "Ġal umni", - "ĠO p", - "us ed", - "Ġeduc ation", - "ra b", - "Ġrese arch", - "are nt", - "Ġ199 6", - "Ġatt empt", - "Ġs qu", - "Ġd ays", - "is ing", - "Ġh owever", - "ĠI r", - "b urg", - "Ġse e", - "ĠCh in", - "ens us", - "ĠRec ords", - "Ġprom ot", - "ap er", - "ĠM useum", - "4 0", - "Ġcomple ted", - "on a", - "Ġpro duc", - "Ġele cted", - "Ġapp ointed", - "ĠA lex", - "at ors", - "ĠChar les", - "ill s", - "ĠFl or", - "Ġcom b", - "ĠIs land", - "Ġinv est", - "Ġind ust", - "Ġin f", - "Ġ ident", - "est ival", - "in i", - "ĠD on", - "cent er", - "Ġpart y", - "ĠM et", - "Ġfound ed", - "Ġcont rol", - "Ġdire cted", - "ĠE duc", - "ĠCent er", - "Ġrecord ed", - "ĠTe x", - "Ġl im", - "Ġa ver", - "ific ation", - "u it", - "Ġr ight", - "ĠI m", - "r d", - "Ġ199 7", - "Ġsign ed", - "ĠE arly", - "Ġw ife", - "Ġe conom", - "ĠS ummer", - "amp le", - "l ess", - "Ġp oints", - "ber g", - "Ġpro per", - "Ġle ague", - "w h", - "as ons", - "Ġgroup s", - "Ġare as", - "2 3", - "Ġre view", - "Ġ18 5", - "Ġ /", - "ĠDe partment", - "Ġb ase", - "n el", - "Ġconsid ered", - "ish ing", - "ĠS im", - "Ġcon ne", - "Ġra ce", - "r ay", - "ĠAng el", - "ĠWest ern", - "Ġ202 3", - "ĠO ffic", - "Ġp oint", - "ĠJ ew", - "pl ay", - "Ġh on", - "ĠC he", - "Ġpart ic", - "Ġse le", - "at ural", - "ĠFran c", - "Ġre n", - "Ġf ind", - "Ġf urther", - "ĠV ict", - "j e", - "Ġm ar", - "= #", - "ĠT o", - "Ġc oll", - "ĠT V", - "Ġrel ations", - "ĠIn stitute", - "Ġc aus", - "ar ies", - "Ġv ict", - "ĠG old", - "ĠAcadem y", - "ĠLou is", - "ell s", - "Ġsim ilar", - "ĠOlymp ics", - "il i", - "Ġde g", - "ĠB ay", - "th let", - "Ġh old", - "ĠMich ael", - "Ġind ividual", - "way s", - "Ġto g", - "Ġre al", - "Ġpr iv", - "ĠG reat", - "Ġvi ew", - "ĠM ac", - "Ġweb site", - "Ġ z", - "id ence", - "ĠZ eal", - "Ġt en", - "ĠP ress", - "Ġtog ether", - "Ġ199 5", - "u ation", - "um p", - "Ġrele ase", - "ra in", - "ĠP at", - "ĠC ong", - "ĠZeal and", - "Ġ199 2", - "ric k", - "Ġin flu", - "ot a", - "ĠVir gin", - "ĠV ol", - "Ġreport ed", - "ĠChrist ian", - "Ġc ase", - "Ġappe ared", - "ĠM us", - "ĠRep ublic", - "ĠM er", - "ĠU K", - "et work", - "Ġ199 4", - "| |", - "ar ter", - "ar th", - "Ġs ports", - "Ġoff ice", - "ĠSp anish", - "ĠChin ese", - "Ġm other", - "ou l", - "ed eral", - "ĠAfric a", - "Ġtra ck", - "ĠK ore", - "m ar", - "Ġw eek", - "2 5", - "Ġ3 1", - "c ks", - "ĠT om", - "Ġ5 0", - "Ġm y", - "Ġk e", - "i que", - "Ġme et", - "Ġnov el", - "Ġcon d", - "Ġbir th", - "Ġdevelop ed", - "en c", - "Ġform ed", - "Ġin s", - "Ġh ous", - "it ive", - "y d", - "ak er", - "Ġ196 0", - "it ing", - "Ġmed al", - "ĠB ur", - "Ġhel p", - "Ġa ut", - "ĠCar ol", - "Ġgu itar", - "ad es", - "Ġla un", - "Ġass ist", - "ĠB en", - "Ġph ot", - "ĠIn ter", - "ĠT er", - "ul a", - "k n", - "ĠD an", - "ap t", - "Ġwork ing", - "e h", - "du ction", - "Ġd oc", - "Ġar r", - "Ġm aking", - "Ġimport ant", - "Ġto urn", - "c le", - "ĠG reen", - "i ers", - "Ġarch ite", - "ĠH am", - "ĠTex as", - "ail ed", - "ud e", - "re land", - "Ġart ist", - "Ġc ast", - "ĠWh ite", - "ĠP et", - "Ġgro w", - "ed y", - "Ġm unicip", - "Ġap pl", - "Ġg ood", - "im ately", - "it ted", - "ĠWh ile", - "ĠD el", - "Ġv ot", - "b and", - "ĠP ublic", - "Ġof fer", - "t a", - "id ing", - "ĠK e", - "ĠB as", - "c ial", - "ĠS ports", - "g o", - "Ġl ess", - "Ġtrad ition", - "Ġschool s", - "m on", - "ert ain", - "ic les", - "ĠMinist er", - "r as", - "ĠJ ose", - "Ġl ive", - "id ae", - "al a", - "ĠC ons", - "Ġd ata", - "ro ll", - "one y", - "it her", - "Ġph ys", - "Ġf und", - "Ġ199 3", - "ĠDem ocrat", - "Ġty p", - "Ġother s", - "ens ive", - "Ġh uman", - "Ġsh ould", - "Ġd aughter", - "ol a", - "ĠT or", - "ab ly", - "epend ent", - "at ives", - "Ġem ploy", - "Ġro ck", - "Ġd i", - "Ġgro und", - "ĠP eter", - "osp ital", - "Ġre v", - "ĠFran k", - "Ġrec ogn", - "Ġm ater", - "Ġhim self", - "Ġst ar", - "overn or", - "all s", - "v iron", - "Ġbuild ings", - "Ġde cl", - "Ġ =", - "re y", - "ĠCath olic", - "ĠM el", - "ĠS ong", - "ut y", - "ĠRich ard", - "le g", - "Ġr ul", - ") :", - "Ġac ross", - "az ine", - "Ġav ail", - "Ġf ire", - "Ġcomp anies", - "ĠS ur", - "g en", - "h i", - "ic ation", - "ĠSw ed", - "19 5", - "al y", - "ĠB ill", - "Ġb ody", - "p ite", - "s y", - "en a", - "ate g", - "ol f", - "Ġan im", - "ant ed", - "Ġcamp aign", - "Ġst ations", - "and ing", - "at re", - "Ġl anguage", - "sh ire", - "m ost", - "ri a", - "Ġe ight", - "19 4", - "um e", - "Ġdo es", - "ĠW il", - "b our", - "Ġaver age", - "ĠM ass", - "ĠL u", - "ĠU p", - "ĠF ore", - "Ġm ot", - "Ġ199 1", - "ce ed", - "Ġbl ack", - "Ġqu al", - "Ġex ist", - "Ġbec om", - "ĠPar is", - "ĠSec ond", - "Ġplay ing", - "ut es", - "ric ket", - "o ice", - "ra el", - "ĠL at", - "Ġt ro", - "g ress", - "Ġmod ern", - "Ġl ow", - "ĠHen ry", - "em or", - "Ġdef e", - "ĠSup er", - "ĠVict or", - "he ast", - "19 3", - "Ġh ow", - "ĠS ant", - "Ġepis ode", - "Ġ18 4", - "Ġp aint", - "st ro", - "Ġc le", - "Ġ et", - "ĠC ro", - "Ġgrad u", - "o res", - "S t", - "z il", - "Ġst age", - "Ġd ivision", - "Ġd ram", - "Ġex ample", - "Ġd er", - "ĠGeor g", - "Ġc ross", - "em ents", - "Ġ4 0", - "w rit", - "ud d", - "Ġr adio", - "ad a", - "Ġne ver", - "Ġl iving", - "air s", - "ĠD ire", - "Ġperform ed", - "h ood", - "Ġf oc", - "ĠL os", - "Ġfem ale", - "emb ly", - "ch ie", - "oc key", - "and id", - "Ġw inn", - "eth od", - "ĠH on", - "Ġl ight", - "ĠS ome", - "Ġse par", - "Ġart ists", - "Ġbel ie", - "ĠRe v", - "Ġf ree", - "ĠSm ith", - "Ġpolitic ian", - "Ġac qu", - "ĠP enn", - "Ġass oci", - "w are", - "ĠOr der", - "Ġf ight", - "t ime", - "ur a", - "ent ial", - "Ġcont ract", - "ov iet", - "2 4", - "ĠChampionship s", - "ĠL ake", - "ĠB ut", - "ibr ary", - "ough t", - "Ġstr ong", - "ign ed", - "Ġsuccess ful", - "Ġmon ths", - "ĠF C", - "Ġre d", - "Ġkill ed", - "at ory", - "im ate", - "Ġfin ished", - "ĠEduc ation", - "av al", - "Ġpl aces", - "id ents", - "Ġcon struction", - "ĠCh ic", - "he ad", - "pe ople", - "k ed", - "ĠI reland", - "ĠO l", - "Ġg ave", - "Ġestablish ments", - "Ġ198 8", - "ĠC amp", - "Ġm us", - "av es", - "ĠG o", - "Ġavail able", - "ĠDe f", - "Ġcon du", - "Ġa way", - "Ġgo al", - "Ġ198 9", - "v a", - "Ġperforman ce", - "if f", - "ell ing", - "ĠO b", - "ĠS aint", - "Ġt re", - "Ġal though", - "id s", - "ĠP an", - "as c", - "ish op", - "Ġpro t", - "Ġbo oks", - "ran ch", - "il ities", - "viron ment", - "it a", - "ĠS pec", - "Ġj ournal", - "an o", - "Ġin formation", - "Ġ ide", - "ĠD ay", - "ad o", - "inal s", - "z a", - "ic ated", - "ĠFilm s", - "he re", - "ĠOlymp ic", - "Ġd am", - "ĠC ur", - "Ġt aken", - "ĠV ill", - "ĠW in", - "ĠNot es", - "le ft", - "ell a", - "Ġcap t", - "it ch", - "i qu", - "ĠBra zil", - "ĠIs rael", - "ĠD u", - "ific ant", - "Ġshow s", - "Ġfollow ed", - ", \"", - "Ġr ank", - "o o", - "Ġag re", - "ĠR ob", - "ĠC areer", - "Ġto ur", - "ug by", - "Ġc ost", - "Ġm ix", - "ĠVirgin ia", - "Ġhe alth", - "Ġfr ont", - "Ġj ud", - "om a", - "ĠG overnment", - "Ġinclud es", - "Ġaward ed", - "Ġc irc", - "ut ch", - "Ġtourn ament", - "Ġc our", - "ĠM a", - "ĠL ife", - "ĠM in", - "\" |", - "Ġfeat ures", - "ig an", - "Ġ :", - "ĠJ ust", - "I I", - "Ġvi ol", - "Ġoriginal ly", - "Ġdesign ed", - "s erv", - "ĠT our", - "ĠAt l", - "Ġhouse hold", - "ĠH ill", - "ag ed", - "nd er", - "n y", - "i os", - "Ġac cess", - "Ġmater ial", - "ĠTe am", - "Ġse ven", - "se c", - "Ġs en", - "ve y", - "Ġc ourt", - "ĠE mp", - "e g", - "ĠC arl", - "ĠIt s", - "ĠM r", - "Ġim pro", - "Ġp ut", - "om s", - "Ġc ivil", - "Ġrel ig", - "2 6", - "Ġrem ained", - "ĠP erson", - "ĠHistor ic", - "Ġs ound", - "ĠAr ts", - "Ġs il", - "ist an", - "Ġstud y", - "Ġl ab", - "en ed", - "ĠG all", - "ĠR ock", - "Ġon ce", - "ĠG ra", - "2 7", - "Ġfeat ured", - "Ġin j", - "Ġd ou", - "ĠRail way", - "er ous", - "ar ia", - "ĠS qu", - "Ġfor ces", - "atri ate", - "Ġsc ored", - "ĠL and", - "ur ity", - "Ġc y", - "Ġ ill", - "om m", - "Ġt est", - "Ġ #", - "Ġp ress", - "ac hes", - "Ġ198 7", - "ol k", - "Ġb ar", - "ĠChic ago", - "2 8", - "he st", - "it es", - "Ġmark et", - "Ġbas ketball", - "ip le", - "Ġde v", - "Ġre b", - "Ġsing er", - "Ġsign ificant", - "ĠM o", - "ach ing", - "ap s", - "il ies", - "Ġpl an", - "end er", - "Ġex ecut", - "r or", - "ĠS oviet", - "ic ations", - "re l", - "Ġlead ing", - "Ġtra ining", - "em s", - "ĠSc ot", - "v in", - "Ġpol ice", - "Ġmed ia", - "ĠFor ce", - "Ġe arn", - "ver t", - "ĠS ub", - "y e", - "ic y", - "Ġ195 0", - "ĠM il", - "C h", - "Ġm ount", - "Ġlarg est", - "Ġr ights", - "ĠS ir", - "ear ch", - "ĠComm ission", - "augh t", - "ĠT wo", - "ĠItal y", - "m ier", - "A mer", - "ĠS o", - "ĠPro fess", - "Ġ198 6", - "our ce", - "Ġm ust", - "Ġair craft", - "Ġst ri", - "ĠM od", - "Ġmod el", - "ut er", - "ĠMex ico", - "Ġ198 4", - "Ġch art", - "Ġen c", - "y p", - "Ġs em", - "ĠCl ass", - "ĠI ll", - "Ġthrough out", - "ĠPol it", - "Ġl iter", - "ist ics", - "ĠP arliament", - "Ġg old", - "Ġtrans fer", - "Ġcons ist", - "v ing", - "ĠS ince", - "ĠMar k", - "Ġinvol ved", - "Ġc ou", - "ĠC at", - "Ġlist ed", - "Ġsub sequ", - "ord er", - "Ġst ated", - "ien ces", - "Ġwh ite", - "ĠO ff", - "ĠAn n", - "Ġw id", - "un k", - "Ġbo ard", - "s el", - "Ġintro duced", - "Ġrepl aced", - "ĠIr ish", - "Ġs ugg", - "ann el", - "Ġe arl", - "Ġse en", - "Ġcompet ition", - "Ġb i", - "Ġ18 3", - "un s", - "ĠE r", - "ĠProv ince", - "ĠFlor ida", - "Ġc andid", - "Ġd iv", - "if t", - "6 0", - "2 9", - "Ġtrans l", - "ĠN avy", - "ĠM ur", - "Ġ198 5", - "Ġwrit er", - "Ġevent ually", - "Ġpriv ate", - "Ġv ia", - "Ġresp ons", - "rib ution", - "ut ure", - "ĠTe chn", - "Ġcrit ic", - "Ġresult s", - "Ġent ire", - "u ff", - "Ġvoc als", - "c her", - "Ġab le", - "u z", - "um m", - "ĠD o", - "te xt", - "Ġr an", - "Ġadd ed", - "ret ary", - "ĠAl though", - "Ġc ollege", - "ĠD en", - "Ġpro ble", - "ĠO per", - "ĠComm ittee", - "ĠF estival", - "Ġfour th", - "ĠS il", - "o ch", - "Ġp ast", - "Ġcount ries", - "ĠF in", - "as k", - "ĠB us", - "ro ad", - "A S", - "el t", - "ĠW ales", - "c ript", - "Ġw ind", - "ĠAngel es", - "y r", - "ĠO ver", - "Ġcent ral", - "Ġst e", - "Ġact ress", - "m b", - "uf act", - "Ġsur v", - "as ing", - "ul arly", - "Ġa ud", - "Ġwrit ers", - "u a", - "ian o", - "Ġcomm and", - "Ġass ociation", - "Ġle ast", - "m in", - "Ġres pect", - "i res", - "ĠBro wn", - "ĠE v", - "Ġl oss", - "yl van", - "Amer ican", - "Ġsp ace", - "por ary", - "Ġs er", - "A R", - "ĠSc ience", - "ĠO ut", - "mer cial", - "8 0", - "ĠN orthern", - "Ġun its", - "ĠM ost", - "ab ility", - "f ic", - "ĠR h", - "Ġn omin", - "ĠF ound", - "ĠSt ar", - "ĠRuss ia", - "Ġm inist", - "Ġs ch", - "b b", - "ok e", - "ĠU k", - "ĠG od", - "r up", - "Ġdeg ree", - "i ro", - "ĠCong ress", - "ĠCarol ina", - "Ġst aff", - "Ġdisc over", - "Ġ198 3", - "Ġr ange", - "Ġst ates", - "ib l", - "ĠAr g", - "ri al", - "Ġcl ose", - "ĠR os", - "Ġdoc ument", - "ra w", - "ĠJ un", - "Ġbroad cast", - "n ow", - "Ġf ig", - "Ġab ove", - "pl es", - "Ġre ached", - "med i", - "g ian", - "l or", - "Ġc ensus", - "ĠServ ice", - "st e", - "ant ic", - "Ġpl ant", - "ĠCol umb", - "ĠL iber", - "ĠE s", - "ĠC r", - "Ġch ange", - "erv e", - "T V", - "Ġprov ided", - "ĠJose ph", - "ĠO h", - "Ġse asons", - "Ġt reat", - "Ġcurrent ly", - "oy s", - "Ġex hib", - "ĠO ld", - "i ents", - "b ur", - "rough t", - "Ġg et", - "Ġcont ribut", - "Ġexp ress", - "ylvan ia", - "l im", - "Ġp ur", - "Ġe ither", - "Ġf av", - "Ġ( \"", - "Ġch ampionship", - "r ative", - "ĠS a", - "f ace", - "Ġtra vel", - "or por", - "Ġac cept", - "Ġpl aced", - "u x", - "sy ch", - "Ġmiss ing", - "Ġup on", - "ĠF re", - "al ed", - "F A", - "Ġrail way", - ") ;", - "bo ard", - "ĠS eries", - "Ġs aw", - "ad ium", - "Ġinter est", - "st ant", - "ian a", - "Ġstru ct", - "ĠC am", - "F L", - "ĠP ac", - "ab it", - "ist ic", - "ip l", - "Ġ198 2", - "Ġcent er", - "Ġm ur", - "w ell", - "Ġk ey", - "Ġ !", - "Ġa ction", - "ĠAss embly", - "a ut", - "ĠF ort", - "ĠD ou", - "Ġocc ur", - "ed s", - "Ġty pe", - "ĠM os", - "cept ion", - "Ġp ot", - "ĠM ic", - "kn own", - "p ly", - "is es", - "Ġc op", - "ĠF urther", - "ĠF ollow", - "Ġn ight", - "Ġa chie", - "ig er", - "g l", - "ĠS k", - "Ġd u", - "ĠR am", - "Ġatt ended", - "Ġ197 9", - "stit ution", - "Ġle arn", - "ĠM ill", - "Ġcharact ers", - "ĠB re", - "l anguage", - "ĠB attle", - "ĠA rab", - "Ġse x", - "ubl ican", - "ay ing", - "ĠM at", - "az z", - "Ġcap ital", - "p ress", - "ĠP opul", - "et te", - "Ġme as", - "Ġdec ided", - "ĠM ain", - "ĠW ood", - "Ġf if", - "l am", - "i h", - "ĠM ajor", - "ĠT ro", - "ele b", - "Ġar g", - "Ġdec ision", - ". )", - "ult ural", - "Ġprevious ly", - "Ġdra w", - "ĠRes earch", - "eng th", - "ar ily", - "ĠEmp ire", - "ĠG reek", - "ĠF red", - "ult ure", - "c a", - "Ġst re", - "Ġde stro", - "Ġne igh", - "Ġ197 2", - "Ġlead er", - "Ġh om", - "d en", - "ĠDemocrat ic", - "g r", - "Ġappro x", - "am ily", - "Ġstud io", - "Ġse ction", - "er o", - "Ġus ually", - "Ġme an", - "ĠPenn s", - "Ġ197 6", - "or ing", - "Ġm ass", - "ĠS ol", - "Ġdefe ated", - "ĠOffic ial", - "ĠH a", - "Ġsing les", - "and a", - "Ġed ition", - "ĠMart in", - "u an", - "ĠD utch", - "Ġre ve", - "Ġocc up", - "ow ers", - "st ra", - "re me", - "ĠC le", - "ĠS un", - "p ing", - "ĠFollow ing", - "Ġkn ow", - "Ġg rand", - "Ġn atural", - "Ġinst ead", - "Ġeff ort", - "ĠMed al", - "ĠJ im", - "ĠScott ish", - "Ġp ain", - "Ġpo et", - "Ġact or", - "Ġr iver", - "ĠSp ain", - "ch an", - "Ġf arm", - "Ġp arent", - "Ġacc ount", - "il s", - "ig a", - "ĠS ocial", - "ĠPenns ylvania", - "Ġb ur", - "B A", - "or a", - "Ġsub ject", - "st r", - "c el", - "c ell", - "Ġ198 1", - "Ġw inning", - "Ġproduc er", - "ĠG ar", - "inc ip", - "ans as", - "ĠM embers", - "Ġinvest ig", - "Ġwh ose", - "ult y", - "ult s", - "Ġm ethod", - "ĠW al", - "um ents", - "Ġpl ann", - "Ġ197 8", - "ĠL ove", - "Ġpart s", - "ĠIn c", - "Ġact ive", - "Ġ197 4", - "Ġrepresent ed", - "in ent", - "ĠM ilitary", - "Ġmov ement", - "at o", - "Ġg e", - "ĠH ow", - "Ġprim ary", - "Ġprov ide", - "ĠAs ian", - "Ġfam ilies", - "Ġcult ure", - "Ġ196 8", - "ĠP ak", - "w an", - "Ġrelations hip", - "Ġplay s", - "9 0", - "ĠL ater", - "ĠF inal", - "b ased", - "Ġf ar", - "Ġp ark", - "ĠR adio", - "Ġsc ient", - "Ġorgan iz", - "pt ion", - "Ġpr ison", - "ĠJ ud", - "Ġde al", - "ĠLe e", - "Ġp red", - "Ġn orthern", - "Ġ194 0", - "Ġs outhern", - "Ġbeh ind", - "Ġp urch", - "ĠE p", - "pos ition", - "r ig", - "Ġt ax", - "ĠH ot", - "cl us", - "ĠT w", - "ar io", - "Ġ197 5", - "ug u", - "ĠC ross", - "l a", - "ĠI ran", - "ĠYou ng", - "ig ital", - "Ġmus ical", - "ĠBu ild", - "ad y", - "ens ion", - "Ġs ize", - "y er", - "ĠC ivil", - "ĠCh ief", - "Ġb ank", - "Ġl ik", - "7 0", - "omet imes", - "Ġ197 7", - "se e", - "ri e", - "Ġl ower", - "ĠB ul", - "ing u", - "ĠBo ard", - "w er", - "ĠB et", - ".. .", - "Ġgo als", - "isc o", - "ĠS ar", - "ĠSp ace", - "Ġb rought", - "ĠP ost", - "Ġread ing", - "Ġco ast", - "Ġnew sp", - "ĠB ig", - "ĠB ase", - "erg y", - "Ġout side", - "ĠL oc", - "Ġac adem", - "ĠH el", - "Ġs us", - "s k", - "ĠS outhern", - "ĠReg ister", - "\" )", - "n ot", - "Ġp ers", - "Ġcolle ction", - "Ġh ard", - "Ġorgan ization", - "im b", - "ar ing", - "Ġc ut", - "Ġ i", - "ĠC D", - "end s", - "ĠH aw", - "Ġr ather", - "all ed", - "ĠB ack", - "ers ey", - "Ġ197 3", - "Ġf all", - "m ark", - "Ġclos ed", - "a o", - "Ġindust ry", - "Ġrun s", - "Ġwrit ing", - "al i", - "Ġn etwork", - "Ġg irl", - "Ġend ed", - "N A", - "Ġc ricket", - "ĠJ ack", - "Ġman ufact", - "Ġc are", - "h an", - "Ġdram a", - "Ġk ing", - "ĠL uc", - "or se", - "Ġfor ce", - "Ġsh ot", - "ir m", - "Ġfootball er", - "Ġ193 0", - "ĠAd m", - "it an", - "Ġsystem s", - "anc ial", - "p an", - "at i", - "pec ially", - "he t", - "aw a", - "ĠO x", - "I D", - "ĠEd ward", - "ĠEng ine", - "ct ive", - "Ġh it", - "ĠL ong", - "Ġes c", - "ul ation", - "oun ter", - "Ġposs ible", - "Ġw ood", - "Ġim m", - "ĠVal ley", - "ĠR el", - "Ġreg ard", - "ĠU nder", - "ĠT ri", - "Ġ194 5", - "Ġmat ches", - "m ond", - "Ġallow ed", - "Ġstud ies", - "ĠV er", - "ĠU r", - "ĠS pr", - "ĠT imes", - "Ġne g", - "Ġal most", - "it ors", - "ĠRep ublican", - "Ġreg ular", - "Ġ196 9", - "ven ue", - "id er", - "Ġstru cture", - "Ġst op", - "in ary", - "Ġ197 1", - "Ġmag azine", - "ĠJew ish", - "em ic", - "ur b", - "Ġchang ed", - "Ġcomm ission", - "Ġfre qu", - "c ient", - "enn is", - "ĠTe levision", - "in ated", - "l ike", - "ĠJ ul", - "ent h", - "Ġc at", - "ĠB ob", - "back ground", - "ĠP o", - "ĠB ank", - "Ġd en", - "ĠMich igan", - "Ġis land", - "c ing", - "Ġpl at", - "Ġsett le", - "Ġsch ol", - "ĠD isc", - "Ġlaun ched", - "Ġb all", - "ĠM ah", - "Ġoper ations", - "it iz", - "ĠC amb", - "air man", - "ov ers", - "Ġw oman", - "ĠPl aces", - "velop ment", - "Ġbeg inning", - "ac ing", - "Ġperson al", - "ĠJ er", - "ĠO s", - "Ġter rit", - "k o", - "Ġto wards", - "3 5", - "on n", - "Ġte xt", - "i as", - "Ġtrans port", - "ĠMc C", - "Ġgen us", - "ĠA thlet", - "Ġown ed", - "Ġdet erm", - "Ġt aking", - "Ġn ar", - "Ġf ood", - "ĠOp en", - "Ġmanag er", - "et ts", - "Ġacc ording", - "e es", - "Ġ196 7", - "Ġc ases", - "ĠT im", - "Ġm er", - "ĠH ung", - "ĠHe alth", - "ip s", - "y an", - "Ġn ames", - "ak a", - "Ġind ependent", - "Ġcon stru", - "Ġwh om", - "Ġp ay", - "us band", - "ĠV i", - "ly ing", - "Ġ196 4", - "ol s", - "Ġsc ience", - "Ġf a", - "Ġrem ov", - "Ġoffic er", - "Ġc red", - "ĠPhil ipp", - "Ġ )", - "ĠOh io", - "ĠB h", - "Ġsc ore", - "st ate", - "ĠK ent", - "Ġapprox imately", - "ĠIn f", - "Ġmin or", - "Ġv eh", - "ĠT op", - "Ġob serv", - "ĠL ine", - "ĠF r", - "7 5", - "ĠUn ivers", - "Ġcomp let", - "Ġbre ak", - "ĠR ou", - "im a", - "ĠPol and", - "Ġfun ction", - "ib ility", - "ĠJ o", - "b ury", - "ino is", - "Ġe ver", - "Ġsc reen", - "b on", - "Ġconc ern", - "Ġsp ent", - "Ġar my", - "ĠG al", - "ĠArg ent", - "Ġaddition al", - "ct ing", - "g a", - "pe cted", - "Ġsqu ad", - "Ġ6 0", - "ĠD is", - "o id", - "Ġph il", - "ĠII I", - "ĠA re", - "o ir", - "Ġnot ed", - "in et", - "ĠScot land", - "ĠM ot", - "ĠG h", - "Ġs elf", - "Ġob ject", - "en ced", - "Ġcomple x", - "Ġbo x", - "ir a", - "Ġc eleb", - "amp ions", - "ĠT re", - "ach us", - "ĠL ord", - "if y", - "w w", - "Ġiss ues", - "Ġcount y", - "ĠPol ish", - "Ġ19 20", - "os h", - "il ed", - "Ġch ief", - "ĠB or", - "en ces", - "Ġsen ior", - "es h", - "k ing", - "ĠQue en", - "Ġc he", - "Ġmon th", - "Ġb attle", - ": #", - "Ġcom mercial", - "ost on", - "Ġl ived", - "Ġs ummer", - "Ġele ctions", - "4 5", - "Ġits elf", - "Ġd ate", - "Ġmult iple", - "Ġrel ated", - "uf fer", - "ĠPac ific", - "Ġs at", - "read y", - "Ġpolitic ians", - "Ġfoc us", - "Ġhig hest", - "Ġro ute", - "ĠNew s", - "Ġso on", - "ĠM att", - "ĠJ r", - "ĠIll inois", - "Ġtradition al", - "d own", - "Ġto o", - "Ġl ittle", - "Ġf uture", - "Ġle t", - "Ġqu est", - "Ġes pecially", - "ĠDire ctor", - "Ġhig her", - "Ġopen ing", - "ay a", - "ard en", - "Ġsup er", - "Ġlo ok", - "ĠE nd", - "Ġ196 5", - "um s", - "Ġm oney", - "Ġc al", - "ac her", - "ĠO k", - "ĠBrit ain", - "Ġrequ ired", - "ĠRep resent", - "achus etts", - "f ect", - "Ġinter view", - "Ġun ion", - "ĠCon ference", - "ĠD i", - "ĠJ ersey", - "Ġ196 6", - "bur gh", - "em porary", - "ĠS and", - "ĠGeorg ia", - "Ġen vironment", - "r ich", - "ad or", - "Ġed itor", - "ct ic", - "ob al", - "Ġcont ains", - "Ġappear ance", - "ĠC y", - "ĠAs ia", - "Ġbel ow", - "Ġ18 0", - "k ins", - "Ġproper ty", - "Ġpri or", - "ĠG overnor", - "ĠA z", - "19 0", - "ĠC olle", - "ĠL ab", - "ĠMass achusetts", - "Ġvict ory", - "h ouse", - "Ġme ans", - "Ġsele cted", - "Ġent ered", - "ch ange", - "on se", - "ĠB oston", - "ĠF er", - "Ġstud ied", - "d s", - "Ġpro f", - "ig r", - "p ut", - "Ġh usband", - "ĠL o", - "ĠBo ok", - "Ġpract ice", - "ĠEast ern", - "S A", - "Ġe mer", - "Ġsur round", - "Ġloc ation", - "al ys", - "st anding", - "Ġex am", - "ut en", - "Ġassoci ated", - "emor ial", - "ĠTh at", - "Ġun it", - "ĠC O", - "ĠJ ournal", - "vent ion", - "Ġm ission", - "Ġstruct ures", - "Ġb ass", - "Ġr ad", - "ĠHe ad", - "Ġmur der", - "Ġtr ade", - "j a", - "Ġ3 5", - "Ġd on", - "w a", - "Ġprofess or", - "ĠL ibrary", - "ĠColumb ia", - "ĠB ang", - "Ġc ertain", - "Ġcent re", - "ĠJ ac", - "Ġstand ard", - "Ġship s", - "ĠG re", - "F C", - "Ġret ired", - "op er", - "Ġse at", - "Ġad op", - "Ġearl ier", - "ĠPr ince", - "Ġar ran", - "Ġ ens", - "3 3", - "i i", - "Ġrun ning", - "Ġmanag ement", - "ĠM ore", - "Ġ er", - "Ġbecom ing", - "Ġd om", - "ĠJe an", - "Ġde partment", - "ĠG ame", - "w ith", - "ĠF ield", - "Ġstud ent", - "ry ing", - "Ġ194 4", - "ĠM P", - "Ġactiv ities", - "t ained", - "Ġso ft", - "Ġt rib", - "ĠThe atre", - "ĠJ ones", - "Ġclub s", - "Ġcom e", - "ĠWilliam s", - "Ġl ength", - "an ks", - "Ġem b", - "Ġmunicip ality", - "il a", - "Ġleg al", - "and ed", - "i y", - "al le", - "Ġcoll abor", - "ĠSt an", - "ail s", - "ig g", - "ĠDe velopment", - "Ġmed ical", - "Ġact ors", - "Ġs uffer", - "Ġcom edy", - "arri age", - "in em", - "N E", - "ĠM iddle", - "gy pt", - "ian ce", - "Ġleg isl", - "Ġinit ially", - "om y", - "ĠW eb", - "Ġqu arter", - "Ġcaus ed", - "9 9", - "ĠM any", - "Ġal ready", - "ad el", - "Ġs ometimes", - "Ġp ie", - "s en", - "b re", - "ĠS oc", - "Ġp en", - "Ġth us", - "Ġtra in", - "ĠCo ast", - "ĠFranc isco", - "ĠE conom", - "ĠV an", - "Ġdestro y", - "Ġmov e", - "Ġoper ated", - "et ic", - "ĠI f", - "Ġfeat ure", - "ĠB ow", - "ĠH ong", - "Ġgeneral ly", - "ĠSt ep", - "ĠK ong", - "Ġar rest", - "Ġfore st", - "Ġincre ased", - "Ġequ ip", - "ĠD et", - "ĠS at", - "Ġold er", - "Ġh ockey", - "Ġl ove", - "ĠK ar", - "ĠW ater", - "ant ry", - "Ġcour se", - "Ġw ide", - "ĠOr gan", - "tra ck", - "Ġwest ern", - "ĠM u", - "ĠW ind", - "sp an", - "Ġnum erous", - "ĠAl bert", - "am m", - "ĠBl ue", - "Ġcon v", - "Ġus es", - "Ġcompet ed", - "n o", - "Ġc ouncil", - "Ġnew s", - "Ġra p", - "ĠMan ag", - "Ġg ra", - "Ġann ual", - "Ġdif fic", - "a res", - "ee ks", - "Ġs af", - "ĠF ed", - "is ation", - "ĠJohn son", - "ĠP res", - "Ġ196 3", - "Ġchang es", - "ĠCons erv", - "and s", - "k en", - "Ġv ir", - "ĠE ll", - "ĠD ie", - "ĠM id", - "ĠCh ild", - "on ia", - "ĠPerson al", - "ĠSy stem", - "el a", - "Ġmajor ity", - "og rap", - "Ġs u", - "ĠDe ath", - "ill a", - "Ġterm s", - "Ġserv ing", - "ĠB C", - "ĠCent re", - "ri ef", - "Ġiss ue", - "ul pt", - "Ġf ederal", - "ĠA k", - "att al", - "stit u", - "Ġab s", - "ĠB iography", - "Ġant i", - "ad d", - "Ġind ic", - "ple ment", - "Ġperson nel", - "Ġbet ter", - "Ġcol on", - "Ġun iversity", - "ab eth", - "ĠBro ad", - "Ġ196 2", - "ul f", - "Ġth reat", - "ĠSer b", - "el le", - "Ġrelig ious", - "ĠA ri", - "Ġse a", - "p re", - "Ġc ust", - "Ġs ister", - "ĠT ime", - "ĠE gypt", - "I n", - "ĠB al", - "Ġke ep", - "it ation", - "ĠOx ford", - "ak h", - "ĠB ir", - "ĠSt ation", - "ĠT em", - "Ġpro b", - "ĠG ood", - "ĠTrans port", - "ĠOff ice", - "A C", - "ĠIn t", - "ĠW rit", - "Ġd rop", - "Ġlin es", - "ĠS pe", - "Ġpass ed", - "ĠH ome", - "ĠT am", - "as y", - "ĠAd am", - "Ġd ed", - "ĠSpec ial", - "Ġl ack", - "ĠIs lam", - "ĠW ild", - "Ġacc om", - "che n", - "ĠAlex ander", - "ĠL ittle", - "ĠTra ck", - "t ies", - "ĠComm on", - "Ġh ot", - "Ġexp atriate", - "Ġthough t", - "Ġor d", - "ĠSwed ish", - "man n", - "art ers", - "Ġoffic ers", - "ĠF our", - "ie uten", - "ĠL y", - "ir it", - "is her", - "ce an", - "Ġrecord ing", - "Ġclaim ed", - "Ġh um", - "Ġfor ced", - "ur ban", - "ĠU l", - "Ġprogram s", - "9 5", - "ĠM ax", - "Ġeconom ic", - "Ġstat us", - "Ġdisc uss", - "Ġ4 5", - "ĠK en", - "w ar", - "ĠFound ation", - "Ġn ine", - "Ġinst r", - "Ġlim ited", - "un n", - "orpor ated", - "; \"", - "Ġm useum", - "a ction", - "Ġsupport ed", - "it age", - "Ġim medi", - "ĠB ern", - "Ġ194 2", - "Ġmin utes", - "ĠSen ate", - "Ġcomple te", - "Ġp il", - "acks on", - "ub e", - "Ġcre ate", - "b l", - "Ġgen er", - "ĠCor ps", - "Ġover all", - "Ġh ours", - "Ġsubsequ ently", - "h ire", - "Ġsh oot", - "Ġpresent ed", - "Ġb ene", - "8 8", - "Ġmeet ing", - "ĠThe ir", - "ph y", - "ĠEn ter", - "ĠLat in", - "Ġrem ains", - "ĠF ar", - "ĠGall ery", - "ĠC ard", - "ĠR ay", - "Ġ194 8", - "ro wn", - "Ġ ice", - "ing er", - "ĠAd d", - "ig inal", - "ĠAnd rew", - "Ġdes cent", - "Ġra ised", - "uc le", - "Ġearn ed", - "Ġin stitut", - "v is", - "Ġl ic", - "Ġocc as", - "ĠB ibl", - "A T", - "Ġbel ong", - "ct ors", - "Ġev idence", - "n am", - "Ġcommun ities", - "ĠA sh", - "Ġch all", - "ĠVictor ia", - "Ġgo ing", - "Ġ194 3", - "ĠO f", - "ĠF I", - "3 6", - "iz ing", - "Ġplat form", - "Ġmost ly", - "un a", - "ap ers", - "Ġ195 6", - "Ġj ob", - "ĠC reek", - "is k", - "Ġ196 1", - "ĠSe a", - "Ġhistor ical", - "u ge", - "um ber", - "Ġw eeks", - "Ġal tern", - "m i", - "Ġf le", - "Ġappear ances", - "ĠEl iz", - "Ġse qu", - "w ide", - "at ers", - "ĠSy d", - "ĠBer lin", - "ail y", - "Ġ6 5", - "ĠM inn", - "ur t", - "ĠDe v", - "Ġresp onse", - "ĠS und", - "ĠCor por", - "ĠT y", - "Ġg ive", - "4 7", - "Ġs om", - "ĠJ ackson", - "A F", - "ze ch", - "ieuten ant", - "Ġper cent", - "ĠC orn", - "ĠKore an", - "Ġpro p", - "Ġb ound", - "Ġsh own", - "Ġar m", - "ĠC op", - "Ġin sp", - "w in", - "im s", - "Ġcon cept", - "Ġ195 8", - "ir ing", - "Ġo pt", - "B S", - "Ġreg ional", - "ĠDan iel", - "Ġpartic ularly", - "Ġinc ome", - "g u", - "ĠAl bum", - "ĠW eek", - "Ġacqu ired", - "Ġparent s", - "Ġfore ign", - "ĠR aj", - "Ġb omb", - "ĠSec retary", - "ĠEle ct", - "ĠIs lands", - "Ġm ention", - "Ġpol icy", - "Ġy outh", - "ĠN ight", - "im um", - "ont o", - "Ġc ell", - "alys is", - "Ġ195 9", - "ste in", - "Ġm iddle", - "enc ies", - "3 8", - "che ster", - "Ġdis e", - "re m", - "Ġrecord s", - "ent y", - "ĠPol ice", - "Ġin n", - "Ġt akes", - "os oph", - "4 8", - "Ġlong er", - "ĠB BC", - "Ġl os", - "Ġg ot", - "Ġhel ped", - "ell ed", - "Ġpartic ular", - "Ġf ailed", - "ri ed", - "Ġappe ars", - "ĠG irl", - "Ġ ver", - "Ġpromot ed", - "ĠDes pite", - "Ġa wards", - "on ic", - "Ġpr incip", - "Ġst ep", - "Ġ194 6", - "ĠTh ree", - "ent al", - "st one", - "Ġfam ous", - "Ġbl ock", - "ĠKore a", - "Ġrem ain", - "out heast", - "Ġthe ory", - "ĠR od", - "olog ist", - "Ġin te", - "ag n", - "Ġv ote", - "Ġfin ancial", - "Ġorganiz ations", - "ak ers", - "Ġle aving", - "ĠAt t", - "Ġtra cks", - "ĠM ov", - "ĠR og", - "Ġeast ern", - "o z", - "led ge", - "Ġg overn", - "Ġbase ball", - "ĠB i", - "Ġp sych", - "Ġ194 1", - "Ġm em", - "ĠW ork", - "Ġtechn ology", - "Ġ3 2", - "Ġen ergy", - "v ement", - "cl ass", - "om er", - "Ġsc hed", - "Ġv on", - "if ying", - "Ġm ach", - "y o", - "Ġcompos ed", - "ron ze", - "Ġh app", - "4 6", - "Ġrefer red", - "b ers", - "ĠW all", - "ĠT ax", - "ĠReg iment", - "Ġspec ific", - "Ġcre w", - "ĠSyd ney", - "ĠF amily", - "3 7", - "Ġqu ick", - "em et", - "ĠH ospital", - "Ġincre ase", - "c ul", - "ĠM unicip", - "ĠK enn", - "Ġc itiz", - "Ġbelie ved", - "Ġrem aining", - "Ġw ord", - "ĠC oll", - "ĠSh ow", - "Ġprov ince", - "Ġc ateg", - "Ġlarg er", - "ĠJ oe", - "Ġhous es", - "ĠCh arl", - "rop ol", - "ĠV iet", - "ĠC zech", - "te en", - "Ġh ospital", - "v est", - "c an", - "Ġc arried", - "ĠO tt", - "ĠL im", - "Ġ eth", - "T h", - "ĠV en", - "ric e", - "il ly", - "ou ri", - "ĠBus iness", - "Ġam ount", - "Ġl atter", - "ĠH y", - "ĠW ay", - "Ġtro ops", - "ĠF ederal", - "th ur", - "istric ts", - "Ġ195 7", - "Ġd iss", - "Ġ193 9", - "C C", - "Ġ( ),", - "ĠAr m", - "Ġstart ing", - "ĠTur k", - "Ġarchite ct", - "ov a", - "ĠP en", - "9 6", - "Ġ194 7", - "sel ves", - "ment ary", - "im ated", - "Ġthem selves", - "Ġl ay", - "Ġb rand", - "ĠQue ens", - "ĠD er", - "Ġt arg", - "l av", - "rup t", - "Ġpro posed", - "Ġch arg", - "Ġn orm", - "9 8", - "Ġfor t", - "ut s", - "Ġro om", - "Ġb ring", - "Ġepis odes", - "Ġn ative", - "ĠR et", - "Ġc er", - "Ġ195 2", - "Ġr ate", - "ĠFor m", - "ĠB oth", - "ĠO nt", - "Ġindividual s", - "ĠW orks", - "ĠB and", - "eng er", - "Ġgradu ated", - "Ġassist ant", - "Ġ3 6", - "m ore", - "e ch", - "ut t", - "ur ies", - "Ġp ra", - "Ġl og", - "ĠB ab", - "Ġwinn er", - "Ġform s", - "Ġcult ural", - "p ose", - "Ġde part", - "ĠPri ze", - "Ġ195 5", - "Ġc ities", - "itt ing", - "Ġsur face", - "Ġc hem", - "he w", - "ĠPr ime", - "j i", - "Ġoffer ed", - "ĠE arth", - "ĠJ on", - "Ġv en", - "a is", - "Ġdel iver", - "ph ia", - "ĠCol or", - "Ġm erg", - "er b", - "Ġhe avy", - "ĠB oy", - "ĠTown ship", - "ĠT ay", - "ous ly", - "ĠT od", - "es ota", - "Ġexecut ive", - "Ġon line", - "ed d", - "9 7", - "Ġs pl", - "Ġpre vent", - "ĠJe ff", - "ĠBo oks", - "Ġm arriage", - "Ġmean ing", - "ĠPre mier", - "angu ages", - "A r", - "Ġad j", - "/ /", - "Ġt able", - "enn es", - "ĠL es", - "ĠRou te", - "Ġnewsp aper", - "ĠN ether", - "ĠM ir", - "ĠMinist ry", - "Ġsepar ate", - "Ġs ociety", - "Ġd yn", - "vers e", - "Ġcons ists", - "ound s", - "ell ig", - "ĠS em", - "ĠD ist", - "Ġfif th", - "c i", - "ion e", - "ĠNot able", - "per or", - "ĠEliz abeth", - "ou ra", - "Ġb ridge", - "ĠJ es", - "ĠB ell", - "Ġpe ak", - "ĠE st", - "ic ted", - "ĠAnt on", - "I S", - "Ġto day", - "ĠMinn esota", - "ro vers", - "Ġsuc ceed", - "Ġ ess", - "ĠB ol", - "adel phia", - "Ġexper ience", - "ĠBase ball", - "ran e", - "Ġf ail", - "Ġserv e", - "f it", - "ĠP ubl", - "Ġcond itions", - "Ġvari ety", - "ĠJust ice", - "Ġcomp l", - "Ġb rief", - "it ude", - "Ġf oot", - "h y", - "ĠTor onto", - "Ġlab el", - "Ġtransfer red", - "k er", - "u ated", - "3 4", - "Ġtem per", - "ess ion", - "Ġcandid ate", - "Ġb order", - "m as", - "Ġs ource", - "ĠH uman", - "ron ic", - "ic ine", - "ĠOnt ario", - "Ġhousehold s", - "res p", - "Ġpart n", - "ran ce", - "Ġmain ly", - "Ġmov ie", - "al og", - "ĠSqu ad", - "ĠSup reme", - "Ġalong side", - "ĠH ind", - "ĠA ut", - "z y", - "ĠM ike", - "Ġdes pite", - ": //", - "ĠCh ap", - "Ġsc ulpt", - "Ġrequ ire", - "ĠL em", - "in ct", - "Ġal ways", - "ĠS om", - "a ult", - "ĠReg ion", - "ĠB ad", - "ĠB orn", - "ĠL ew", - "ĠL ight", - "ĠN ations", - "ĠT ok", - "ĠB a", - "ĠSong s", - "ric s", - "Ġpart ies", - "we ight", - "e v", - "Ġ194 9", - "Ġ195 4", - "u ing", - "Ġoper ation", - "Ġiss ued", - "Ġdou ble", - "ic ks", - "ĠPro gram", - "Ġ( ,", - "ĠI d", - "an th", - "ĠW el", - "attal ion", - "Ġpo or", - "b it", - "n es", - "3 1", - "ĠAn other", - "Ġext ended", - "sec ut", - "Ġb r", - "Ġdem on", - "ort heast", - "Ġme chan", - "ĠAn th", - "Ġpl ans", - "Ġf ace", - "ĠD un", - "Ġprov ides", - "ĠC E", - "ĠA ff", - "Ġsold iers", - "Ġm akes", - "Ġart icle", - "Ġturn ed", - "Ġinflu ence", - "R A", - "Ġ8 0", - "Ġdef eat", - "Ġrespons ible", - "Ġsil ver", - "bour ne", - "Ġd one", - "Ġro w", - "Ġj un", - "Ġs n", - "ĠHar ris", - "Ġ195 3", - "ĠA h", - "Ġarr ived", - "ra ine", - "ĠStep hen", - "er land", - "ill ed", - "Ġfeat uring", - "ĠB rad", - "Ġh ar", - "ĠMex ican", - "Ġdiffic ult", - "ĠPhil adelphia", - "w orth", - "ĠSt adium", - "Ġr ugby", - "che stra", - "os a", - "Ġst ories", - "Ġnear by", - "8 5", - "Ġm aster", - "Ġspe ed", - "ons in", - "Ġun ivers", - "Ġex cept", - "Ġa thlet", - "pt on", - "ĠSt at", - "ĠAir port", - "ĠA v", - "Ġcap ac", - "ĠCh art", - "l ers", - "Ġc orn", - "Ġhon or", - "ĠPak istan", - "om ot", - "isc onsin", - "ĠT ai", - "av en", - "ri f", - "writ er", - "b ass", - "ĠSant a", - "ĠNether lands", - "Ġparticip ated", - "Ġo il", - "ag on", - "Ġres idents", - "at ively", - "ĠC rit", - "Ġ7 0", - "Ġs aying", - "m ission", - "Ġwinn ers", - "av a", - "Ġmanag ed", - "Ġst ay", - "Ġf ellow", - "e ction", - "Ġadminist rative", - "ĠK ir", - "ĠD am", - "l ight", - "ob ile", - "Ġelect ric", - "p on", - "Ġorig in", - "b a", - "Ġcon stitu", - "ĠMed ia", - "Ġdiscover ed", - "Ġm ight", - "um ed", - "und red", - "Ġcover ed", - "rop ical", - "ĠRev olution", - "ĠProfess or", - "ĠBr ig", - "Ġren amed", - "Ġs urn", - "n s", - "or g", - "ĠInd ones", - "Ġback ground", - "Ġmunicip al", - "8 6", - "ĠW isconsin", - "Ġlik ely", - "ĠH o", - "Ġcont ra", - "d is", - "ĠCh ris", - "Ġin h", - "ĠA venue", - "Ġrec ent", - "ĠGu ard", - "Ġmusic ians", - "ĠPe ak", - "ĠR ome", - "Ġ195 1", - "Ġpar ish", - "4 4", - "Ġele ments", - "ĠC ub", - "Ġto ld", - "ig en", - "ran ge", - "qu arters", - "ac hel", - "Ġv an", - "an cy", - "Ġas ked", - "Ġg un", - "Ġ +", - "igh ter", - "Ġconstru cted", - "Ġcon fl", - "ĠPr im", - "Ġproble ms", - "ĠTechn ology", - "ĠK im", - "Ġ ult", - "Ġfinal ly", - "ow a", - "7 6", - "ĠS us", - "Ġhe art", - "ĠS her", - "Ġle ave", - "Ġo ur", - "oc ks", - "est abl", - "Ġn ature", - "emet ery", - "Ġneigh bor", - "ir med", - "ĠP ers", - "ke e", - "Ġpro gress", - "Ġprodu cts", - "ĠMus lim", - "ĠCamb ridge", - "ĠL i", - "Ġth r", - "Ġp ick", - "ctor al", - "we gian", - "Ġhe re", - "or ation", - "ĠInd ust", - "ot o", - "Ġimp act", - "Ġnear ly", - 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"Ġde ep", - "ĠS u", - "L A", - "Ġlaw s", - "ur ches", - "ĠH u", - "em y", - "ed om", - "ĠK ansas", - "ant a", - "ĠAl so", - "Ġliter ature", - "Ġwhe ther", - "Ġremov ed", - "th ing", - "ĠL ive", - "Ġ19 18", - "g al", - "he im", - "Ġs al", - "ĠMar ia", - "Ġwith d", - "A l", - "Ġded icated", - "el d", - "i est", - "ĠGe ography", - "ĠCap tain", - "ĠU s", - "port un", - "ert o", - "ĠDe p", - "Ġsy n", - "Ġg rew", - "ony m", - "Ġd omin", - "Ġw ords", - "ĠBar on", - "F F", - "Ġplann ed", - "ĠPopul ated", - "ĠPolit ical", - "r ical", - "Ġst ars", - "ĠJun ior", - "ĠRes ults", - "7 8", - "Ġnot able", - "Ġeffect s", - "ĠUS A", - "Ġsh are", - "je cted", - "ĠU t", - "Ġk ind", - "it ter", - "e z", - "ic ed", - "Ġr ule", - "ĠMiss ouri", - "p resent", - "Ġd ark", - "E C", - "Ġcomp uter", - "Ġp iano", - "Ġorder ed", - "ĠTay lor", - "Ġreg ist", - "Ġsettle ment", - "ath an", - "ĠM aster", - "resp ond", - "ĠH an", - "Ġprom inent", - "ik a", - "M A", - "Ġsp read", - "ĠR ugby", - "Ġcontin ue", - "ĠB ridge" - 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"av e", - "ĠA r", - "om e", - "ĠD e", - "Ġ ro", - "Ġw he", - "at er", - "i b", - "n e", - "ĠRe ferences", - "en s", - "Ġcon t", - "w o", - "a ch", - "ĠA mer", - "ĠM ar", - "am p", - "s h", - "il m", - "re e", - "it e", - "Ġa d", - "Ġ us", - "at es", - "Ġp art", - "op le", - "Ġwh o", - "ĠL e", - "im e", - "Ġ j", - "it ed", - "Ġthe ir", - "r u", - "Ġin t", - "Ġ her", - "em ber", - "Ġa p", - "Ġit s", - "Ġre s", - "a w", - "ou nd", - "k e", - "ub l", - "at h", - "ou t", - "iv ers", - "o ol", - "2 0", - "o ver", - "il d", - "b all", - "a ce", - ") .", - "Ġa b", - "ol l", - "is s", - "ĠN ew", - "Ġ 4", - "cl ud", - "Ġb ut", - "Ġa c", - "e ople", - "in al", - "ĠC om", - "Ġy ear", - "t s", - "ĠAmer ican", - "Ġon e", - "ug h", - "i le", - "o ot", - "ol d", - "or s", - "Ġ19 8", - "ou ld", - "Ġa g", - "ĠE x", - "ad e", - "Ġre c", - "Ġp er", - "res s", - "u al", - "ur ing", - "f or", - "Ġs c", - "ent s", - "en ce", - "w ard", - "o in", - "w n", - "l es", - "Ġm an", - "ĠA s", - "Ġt wo", - "o y", - "Ġin clud", - "a ct", - "as ed", - "Ġd es", - "Ġbe c", - "i o", - "ch ool", - "on s", - "Ġh ave", - "w e", - "i ed", - "Ġ -", - "Ġ en", - "ct ed", - "o b", - "Ġth is", - "er n", - "v el", - "Ġal l", - "on e", - "ing s", - "Ġ 5", - "a il", - "Ġf ilm", - "ur n", - "as e", - "Ġcom m", - "ar k", - "Ġbe en", - "in d", - "is ion", - "Ġ19 7", - "g h", - "ou th", - "Ġo ther", - "ic s", - "t ed", - "Ġa fter", - "Ġd is", - "ur y", - "ĠS h", - "u ch", - "Ġ im", - "el y", - "g an", - "r al", - "is hed", - "f t", - "e ct", - "Ġof f", - "re n", - "a h", - "ivers ity", - "re d", - "o h", - "ab le", - "Ġs p", - "os e", - "an ce", - "Ġl in", - "Ġs erv", - "Ġo ut", - "Ġ up", - "Ġp eople", - "on t", - "or ld", - "o od", - "Ġ ra", - "Ġs he", - "Ġo ver", - "pe c", - "c ent", - "Ġn e", - "ion s", - "ri b", - "Ġ19 6", - "am es", - "ĠP ro", - "ĠO n", - "w ay", - "Ġe v", - "Ġn ew", - "t on", - "as on", - "al e", - "Ġ und", - "ol og", - "Ġ 6", - "ĠUn ited", - "r am", - "Ġl oc", - "Ġe le", - "oot ball", - "ĠI nd", - "d u", - "Ġthe y", - "Ġw ork", - "ist s", - "an s", - "ol le", - "e b", - "Ġint o", - "c he", - "Ġt ra", - "ces s", - "Ġ Z", - "Ġp re", - "Ġg ro", - "or th", - "ĠUn iversity", - "er al", - "ou gh", - "Ġa ct", - "Ġat t", - "c k", - "tern al", - "e p", - "ic t", - "ak e", - "Ġse c", - "ĠA n", - "Ġt ime", - "Ġb u", - "a z", - "i k", - "Ġc an", - "il y", - "ran s", - "Ġund er", - "ĠC l", - "ro ugh", - "i el", - "i x", - "ic k", - "v i", - "Ġp ol", - "d uc", - "p r", - "ĠS c", - "ĠE ng", - "in ce", - "v e", - "ou n", - "if e", - "Ġte am", - "Ġlin ks", - "Ġplay ers", - "al s", - "oc i", - "r ad", - "Ġre g", - "Ġp ubl", - "ot h", - "Ġ19 4", - "Ġk n", - "id ent", - "ĠEx ternal", - "sh ip", - "for m", - "Ġh im", - "Ġb et", - "at t", - "Ġas s", - "ĠS he", - "in n", - "at ive", - "Ġ 7", - "i er", - "a j", - "1 8", - "ou se", - "in s", - "em b", - "Ġp r", - "it ies", - "us e", - "oll ow", - "in a", - "Ġ19 5", - "Ġw ould", - "Ġc o", - "an n", - "ĠT e", - "o ber", - "Ġe st", - "Ġwhe n", - "us ic", - "Ġag ain", - "l l", - "Ġc ent", - "Ġo p", - "Ġyear s", - "we en", - "er ies", - "c ed", - "Ġcon s", - "ro und", - "res ent", - "over n", - "at ing", - "Ġwhe re", - "Ġd uring", - "Ġre t", - "Ġm ore", - "Ġin d", - "ab l", - "Ġ1 7", - "Ġb o", - "iv ing", - "ra ph", - "ar ly", - "b um", - "d er", - "ĠJ oh", - "Ġs ub", - "a ir", - "Ġst ud", - "an y", - "Ġfor m", - "Ġs up", - "Ġ20 2", - "Ġg en", - "ĠTh is", - "Ġm e", - "ĠP l", - "Ġ qu", - "ĠC ount", - "ĠSt ates", - "Ġf ootball", - "Ġf ound", - "Ġ 8", - "ion al", - "oc k", - "ar l", - "Ġre le", - "Ġf l", - "c c", - "Ġs pec", - "en n", - "as h", - "Ġon ly", - "Ġbet ween", - "i am", - "ag ue", - "Ġf am", - "Ġb ir", - "Ġre l", - "re at", - "ĠF or", - "Ġse ason", - "p ro", - "Ġ Q", - "e at", - "ist ric", - "ĠA t", - "op ul", - "Ġs y", - "ĠN ational", - "ĠW ar", - "Ġ ed", - "ist ory", - "Ġar t", - "if ic", - "ĠS p", - "s on", - "ĠCom m", - "er man", - "ĠI s", - "Ġab out", - "ĠA ust", - "Ġth ree", - "ĠJoh n", - "\" .", - "Ġin ter", - "Ġm ost", - "ct or", - "f ore", - "ĠW orld", - "le y", - "ĠF ran", - "ĠP h", - "th s", - "ĠC on", - "Ġre m", - "Ġf ollow", - "Ġ 9", - "Ġm ade", - "Ġal bum", - "Ġl ater", - "Ġs ing", - "Ġth rough", - "iel d", - "in ist", - "un e", - "om en", - "Ġ end", - "Ġ1 0", - "iv er", - "iv ed", - "ĠB e", - "ers on", - "r on", - "Ġsec ond", - "Ġthe m", - "ro s", - "ĠB rit", - "ĠB l", - "og raph", - "Ġw rit", - "ĠM ay", - "an k", - "us s", - "Ġn um", - "Ġm ov", - "Ġthe re", - "Ġ19 3", - "Ġthe n", - "Ġd ire", - "m p", - "ĠC an", - "Ġde f", - "Ġus ed", - ". \"", - "ĠJ an", - "er m", - "ow er", - "es e", - "vel op", - "u res", - "he n", - "Ġrec ord", - "ar g", - "Ġin v", - "em ent", - "istric t", - "Ġt rans", - "os s", - "t en", - "Ġs o", - "er t", - "Ġm ed", - "e e", - "ar i", - "Ġ1 6", - "ar s", - "Ġs chool", - "Ġkn own", - "Ġs et", - "a i", - "ĠCount y", - "ĠA d", - "y s", - "\" ,", - "Ġ ent", - "Ġbec ame", - "2 00", - "Ġs uch", - "st it", - "Ġest abl", - "ĠO r", - "Ġ1 5", - "Ġa m", - "is m", - "ĠS outh", - "ĠG e", - "Ġpro v", - "c y", - "ur al", - "it s", - "Ġp h", - "Ġin c", - "ment s", - "Ġth an", - "ĠS chool", - "amp ion", - "tern ational", - "u ro", - "ĠG erman", - "ĠM e", - "a x", - "is e", - "Ġf our", - "p os", - "Ġ &", - "ĠN ov", - "Ġs eries", - "ĠJ u", - "Ġbe ing", - "Ġs ome", - "ur ch", - "Ġle ad", - "Ġ| -", - "Ġb l", - "Ġp opul", - "Ġ .", - "e ver", - "ĠW est", - "ut e", - "Ġc all", - "Ġs ong", - "ay s", - "Ġinclud ing", - "ot her", - "j ect", - "le t", - "et h", - "Ġgro up", - "Ġagain st", - "a e", - "Ġw ell", - "are er", - "Ġd o", - "i ke", - "Ġap pe", - "ĠP ol", - "ĠA fter", - "b orn", - "Ġde ath", - "ug ust", - "Ġac c", - "ar ri", - "Ġc ount", - "t y", - "Ġc re", - "ction s", - "ian s", - "ĠP r", - "u ary", - "ĠW h", - "am ed", - "pt ember", - "ĠAust ral", - "v en", - "st em", - "at her", - "t il", - "ĠY ork", - "ar n", - "ire d", - "ul l", - "b y", - "m y", - "er ed", - "r id", - "ver y", - "ut ion", - "e y", - "ĠA ugust", - "Ġbe fore", - "ĠBrit ish", - "Ġre ce", - "= \"", - "ĠO ct", - "el s", - "Ġ1 2", - "Ġad d", - "Ġwh ile", - "r ist", - "Ġs ur", - "ĠSe ptember", - "Ġs ign", - "Ġpol it", - "iv es", - "ĠMar ch", - "overn ment", - "00 0", - "Ġb ro", - "Ġde c", - "Ġsh ow", - "ĠC ent", - "a id", - "Ġoff ic", - "Ġbu ild", - "Ġde velop", - "Ġo per", - "ĠOct ober", - "olog y", - "Ġg o", - "el f", - "Ġfam ily", - "Ġun til", - "Ġc ap", - "le v", - "ĠM an", - "x t", - "Ġm usic", - "Ġm ay", - "pr il", - "iz ed", - "ow ever", - "ĠJ une", - "a u", - "r and", - "Ġo wn", - "f ess", - "Ġn o", - "Ġre p", - "ĠJan uary", - "ic a", - "Ġor ig", - "er y", - "Ġm ain", - "m ber", - "Ġm od", - "Ġh igh", - "ĠAs s", - "ĠJu ly", - "en g", - "ĠAl l", - "Ġbir ths", - "emb ers", - "ĠC ar", - "1 0", - "l ish", - "ist or", - "Ġch ar", - "Ġb oth", - "ĠN orth", - "Ġplay ed", - "olle ge", - "Ġm on", - "Ġman y", - "Ġnum ber", - "ot t", - "et s", - "ĠC o", - "ĠLe ague", - "Ġex p", - "om an", - "Ġn ame", - "ut h", - "ampion ship", - "ĠA pril", - "cent ury", - "ward s", - "Ġb ack", - "Ġ19 2", - "ant s", - "v ed", - "i ent", - "ĠCan ad", - "ĠE uro", - "it t", - "ĠSe e", - "Ġrele ased", - "ce mber", - "Ġe m", - "st ru", - "ĠG u", - "ain ed", - "ĠB o", - "en e", - "i or", - "p le", - "Ġg u", - "g ram", - "1 7", - "ĠE d", - "is c", - "Ġfor mer", - "ĠC ol", - "ĠNov ember", - "it al", - "Ġse ver", - "iss ion", - "ĠA m", - "ĠEng lish", - "Ġan n", - "Ġw on", - "i um", - "in es", - "e c", - "he s", - "port s", - "Ġdes ign", - "p or", - "ic ip", - "ce pt", - "ĠRe g", - "ĠW ill", - "ĠDe cember", - "Ġm at", - "ĠC ity", - "Ġ1 4", - "ra ct", - "ĠF l", - "aj or", - "Ġdes c", - "y l", - "ros s", - "Ġ1 3", - "Ġl ife", - "Ġare a", - "im es", - "ir d", - "Ġst art", - "ĠC al", - "ĠA f", - "Ġor gan", - "r is", - "duc ed", - "Ġop en", - "Ġf eat", - "are d", - "ĠSt ate", - "re t", - "f l", - "Ġg ame", - "ag es", - "Ġd if", - "v ent", - "res ident", - "Ġr un", - "k et", - "u es", - "Ġfilm s", - "l ed", - "ro p", - "Ġpro du", - "p art", - "Ġ1 1", - "ar m", - "et y", - "Ġm en", - "Ġ201 0", - "Ġcl ass", - "ograph y", - "Ġ2 1", - "y le", - "Ġex t", - "ap an", - "il t", - "eb ru", - "Ġs m", - "lev ision", - "ebru ary", - "Ġpubl ic", - "un g", - "ĠK ing", - "ĠI I", - "Ġst ate", - "Ġsy stem", - "ĠP ar", - "Ġl ong", - "Ġo b", - "ual ly", - "Ġd r", - "ar ch", - "ĠB ro", - "f ul", - "Ġf inal", - "Ġc areer", - "il it", - "n er", - "ĠH is", - "Ġs ame", - "ul ar", - "an c", - "a use", - "Ġcall ed", - "am b", - "vi ew", - "Ġfollow ing", - "ĠF ebruary", - "in c", - "z e", - "ov e", - "y n", - "Ġret urn", - "Ġf in", - "on y", - "Ġc ity", - "Ġw ill", - "iv ision", - "ĠEuro pe", - "ĠS w", - "a f", - "h ip", - "Ġch ild", - "r at", - "al es", - "ak ing", - "Ġsever al", - "Ġcomm un", - "ren ch", - "il ity", - "Ġw omen", - "re nt", - "oin t", - "ĠM ed", - "or ks", - "ĠJ apan", - "s p", - "an ge", - "ch n", - "ial ly", - "c om", - "c on", - "ure d", - "Ġl ist", - "Ġs uc", - "ĠGe or", - "p ed", - "Ġe arly", - "Ġa ir", - "ĠB ar", - "Ġcont in", - "Ġ '", - "Ġto wn", - "Ġcomp et", - "Ġcl ub", - "ĠE l", - "Ġm in", - "Ġres ult", - "h am", - "ib le", - "1 2", - "ĠA nd", - "ĠH ar", - "ĠH istory", - "is ed", - "al ly", - "Ġs ince", - "ic es", - "ain s", - "st er", - "19 9", - "ĠThe y", - "ĠP art", - "b o", - "r ing", - "Ġn ear", - "ang u", - "Ġn amed", - "Ġorig inal", - "end ed", - "u ed", - "ĠCh rist", - "at a", - "Ġhe ad", - "ĠA b", - "1 6", - "Ġb el", - "Ġdis c", - "Ġpl ace", - "ĠF rench", - "id ed", - "i ence", - "Ġ201 1", - "ĠRe p", - "Ġc ur", - "Ġbe gan", - "il le", - "Ġt it", - "Ġus e", - "iv al", - "an e", - "re en", - "Ġpro gram", - "ĠU S", - "Ġv ill", - "Ġm ember", - "Ġm embers", - "1 5", - "Ġp rom", - "Ġhe ld", - "Ġan y", - "Ġl and", - "ĠCom p", - "Ġb ased", - "ain t", - "ĠR es", - "ĠM c", - "Ġthe se", - "Ġcomp le", - "b le", - "Ġap p", - "m e", - "Ġsup port", - "oun c", - "ĠAf ric", - "al ity", - "Ġg overnment", - "r ight", - "Ġ200 8", - "ĠR uss", - "Ġm et", - "Ġ201 2", - "Ġw e", - "ĠR o", - "a ugh", - "Ġ19 0", - "ĠA ir", - "Ġestabl ished", - "i ous", - "Ġal ong", - "Ġe ff", - "t he", - "Ġ ,", - "ĠE ast", - "ĠCh ampionship", - "Ġdesc rib", - "T he", - "in ess", - "Ġen g", - "ition s", - "ĠC ollege", - "Ġp ass", - "ĠWill iam", - "ĠG en", - "an a", - "od e", - ". .", - "Ġd ist", - "pe ct", - "al th", - "ad em", - "Ġ200 9", - "Ġloc ated", - "ur g", - "u k", - "ĠThe re", - "at or", - "ical ly", - "ĠH er", - "or m", - "ac ed", - "Ġd id", - "Ġl aw", - "in o", - "Ġc ol", - "Ġo cc", - "Ġchar act", - "che s", - "f ord", - "ĠAr t", - "c ol", - "at s", - "i en", - "ubl ic", - "ĠP eople", - "Ġp os", - "Ġy ou", - "Ġ201 3", - "ond on", - "ĠN e", - "oci ation", - "ĠIt al", - "Ġ200 6", - "Ġ200 7", - "Ġh ouse", - "Ġe ach", - "t o", - "ĠH igh", - "ing ton", - "ore d", - "Ġ201 4", - "ro w", - "Ġ201 6", - "Ġserv ed", - "our t", - "ĠF ilm", - "Ġto ok", - "qu e", - "Ġs im", - "k y", - "Ġ X", - "1 4", - "ĠRe c", - "Ġb and", - "Ġt r", - "Ġst ation", - "Ġh ome", - "ĠD istrict", - "Ġb us", - "av ing", - "ĠS y", - "ĠIn ternational", - "Ġb orn", - "Ġg ames", - "Ġn ational", - "m ed", - "ly mp", - "i et", - "ĠA c", - "Ġin st", - "Ġ201 5", - "re w", - "er g", - "Ġpro fess", - "in ed", - "Ġ201 8", - "ight s", - "p s", - "Ġcomp any", - "Ġl ine", - "Ġp erson", - "1 3", - "ĠO lymp", - "Ġpopul ation", - "Ġm ajor", - "Ġ18 9", - "ac es", - "our n", - "Ġ20 20", - "ĠD av", - "ill ion", - "ĠL iving", - "ĠL ondon", - "Ġ201 7", - "ĠSe c", - "Ġs l", - "Ġb as", - "Ġj oin", - "Ġsm all", - "Ġle g", - "Ġloc al", - "ĠInd ian", - "ĠL a", - "ard s", - "Ġv ari", - "Ġrece ived", - "Ġde b", - "Ġev ent", - "Ġ2 5", - "Ġgen eral", - "Ġman ag", - "Ġpubl ished", - "Ġte levision", - "ĠC up", - "et t", - "Ġcent ury", - "ĠN ot", - "ilit ary", - "s ide", - "et er", - "Ġ3 0", - "at ure", - "Ġ201 9", - "Ġsing le", - "Ġbu ilt", - "ĠS up", - "Ġv i", - "ĠPh il", - "a ul", - "Ġd ue", - "Ġc ould", - "Ġv ers", - "ĠH owever", - "Ġ $", - "Ġap pro", - "ar ge", - "Ġw orld", - "Ġspec ies", - "ar a", - "Ġc olle", - "um n", - "Ġsuc cess", - "ie f", - "ounc il", - "Ġp o", - "v ers", - "Ġst r", - "in t", - "Ġa round", - "ord ing", - "if ied", - "ĠA ng", - "uth or", - "id es", - "at ely", - "om in", - "ĠG l", - "Ġo ld", - "Ġed uc", - "ĠT r", - "arri ed", - "ĠL ist", - "ĠN o", - "Ġt erm", - "is on", - "ro l", - "ĠC or", - "um mer", - "Ġa ge", - "ff ic", - "l ing", - "ĠT ra", - "ĠH ouse", - "Ġhe l", - "Ġal ign", - "Ġe p", - "ord s", - "e f", - "oc ial", - "ĠP ark", - "r ation", - "Ġp resent", - "ĠP re", - "Ġle ft", - "Ġl ast", - "Ġs ix", - "ĠE n", - "Ġh istory", - "Ġn ow", - "i od", - "a im", - "Ġs aid", - "ĠS an", - "Ġt y", - "Ġ200 0", - "Ġrep resent", - "re et", - "a us", - "id d", - "ra ft", - "t t", - "Ġd ied", - "Ġplay er", - "op h", - "Ġ 0", - "Ġre st", - "1 1", - "Ġc amp", - "iz ation", - "ĠD uring", - "Ġc ar", - "Ġl a", - "um b", - "angu age", - "Ġto p", - "ne y", - "Ġp ar", - "ĠB r", - "on es", - "Ġvill age", - "Ġwith in", - "ĠM ich", - "Ġd et", - "iv en", - "Ġst yle", - "Ġf ive", - "Ġ200 5", - "Ġt ri", - "Ġn orth", - "Ġsh ort", - "Ġ2 4", - "v an", - "ĠR oy", - "Ġor der", - "ide o", - "Ġ18 8", - "Ġd ay", - "in k", - "ĠD es", - "o ks", - "et her", - "u f", - "Ġdescrib ed", - "ak es", - "s c", - "ow s", - "ur ther", - "19 8", - "ent ly", - "Ġth ird", - "Ġbuild ing", - "al k", - "Ġinclud e", - "ĠR iver", - "Ġinclud ed", - "Ġp ost", - "um ent", - "Ġd own", - "ast er", - "if orn", - "ĠP er", - "Ġdif fer", - "d ay", - "he m", - "ĠA g", - "Ġchild ren", - "Ġre port", - "ur s", - "ĠEng land", - "c o", - "ĠCh ar", - "Ġ202 1", - "att le", - "Ġre f", - "vi ous", - "Ġre qu", - "ĠS ch", - "ĠA ct", - "n a", - "er a", - "feren ce", - "Ġbec ause", - "ke y", - "t ain", - "iforn ia", - "Ġad m", - "ĠB y", - "th ough", - "Ġann oun", - "Ġl arge", - "Ġcons id", - "iv ely", - "re g", - "ĠG ro", - "ĠM al", - "Ġs outh", - "g round", - "Ġs on", - "ĠAustral ia", - "Ġ200 4", - "ic o", - "Ġd em", - "rid ge", - "ri end", - "Ġd istrict", - "ĠCal ifornia", - "l er", - "col or", - "Ġst and", - "ĠP ort", - "ĠB ra", - "Ġm ark", - "ĠM on", - "os p", - ". ,", - "use um", - "ct ure", - "Ġar ch", - "Ġp ower", - "inn ing", - "Ġst at", - "Ġbo ok", - "uc k", - "od y", - "ĠY ou", - "ĠPart y", - "en cy", - "Ġl o", - "Ġdeath s", - "ri pt", - "Ġ202 2", - "Ġc rit", - "ad io", - "it er", - "part ment", - "land s", - "in ing", - "Ġw ar", - "con om", - "um an", - "Ġappe ar", - "Ġc or", - "ĠD em", - "Ġm ale", - "Ġl arg", - "k a", - "Ġis s", - "ĠR oman", - "re st", - "Ġ18 6", - "Ġj ust", - "ist er", - "Ġ2 2", - "Ġre pl", - "ĠB el", - "c er", - "al d", - "al f", - "Ġw ater", - "Ġserv ice", - "g ed", - "Ġper iod", - "Ġn on", - "Ġper form", - "Ġadd ition", - "n ess", - "Ġres p", - "v es", - "Ġk ill", - "am ent", - "oci ety", - "ĠA nt", - "Ġde p", - "ee k", - "Ġv is", - "he l", - "our s", - "e le", - "Ġre fer", - "ĠS m", - "a ff", - "er ing", - "ĠO ne", - "Ġmov ed", - "ĠA ward", - "en se", - "Ġc r", - "ĠE m", - "Ġdiffer ent", - "iz e", - "Ġcur rent", - "ĠAustral ian", - "Ġro und", - "Ġl ike", - "ot e", - "rib ut", - "5 0", - "ĠAr my", - "Ġ2 3", - "Ġinc re", - "om b", - "Ġm illion", - "Ġl ed", - "k i", - "l ine", - "ĠN or", - "p ar", - "Ġt rad", - "Ġbus iness", - "am a", - "ĠA cc", - "t al", - "av y", - "her n", - "ĠM inist", - "Ġan other", - "Ġth ose", - "o on", - "Ġh istor", - "ĠR ober", - "op s", - "o f", - "Ġsh ip", - "Ġ18 7", - "Ġe qu", - "Ġst ill", - "and er", - "Ġ if", - "Ġf ather", - "Ġ el", - "Ġf ield", - "Ġw est", - "ĠJ ames", - "Ġd el", - "ĠInd ia", - "Ġex per", - "Ġa uthor", - "i ber", - "ĠM or", - "ĠSt e", - "d e", - "ep end", - "Ġf ac", - "c hed", - "iv il", - "Ġact iv", - "Ġh and", - "Ġcomp os", - "ĠCh urch", - "ĠM usic", - "Ġbe st", - "ĠGen eral", - "ĠFran ce", - "Ġp ort", - "Ġk m", - "o x", - "Ġannoun ced", - "Ġin ternational", - "Ġdeb ut", - "stru ction", - "Ġtit le", - "Ġcount ry", - "d om", - "ĠQ u", - "Ġs old", - "Ġf em", - "ĠTh om", - "Ġw in", - "as es", - "Ġ200 3", - "v ille", - "Ġ( )", - "Ġestabl ish", - "ĠY ear", - "19 7", - "u el", - "Ġcharact er", - "Ġe ast", - "Ġpolit ic", - "ĠGeor ge", - "ĠD ivision", - "f ield", - "un icip", - "us h", - "Ġs ide", - "c ast", - "Ġp at", - "Ġd ra", - "b e", - "ĠRoy al", - "Ġc ult", - "ourn al", - "ĠA p", - "an ish", - "re ad", - "Ġn ov", - "Ġa v", - "g color", - "Ġpre vious", - "ĠM ount", - "g in", - "Ġm ake", - "ĠEurope an", - "Ġ very", - "ri es", - "a el", - "ĠQ ue", - "ĠP e", - "ort hern", - "Ġa ward", - "ĠCl ub", - "ĠCanad ian", - "Ġset t", - "ug g", - "ĠAc adem", - "Ġele ction", - "Ġpro ject", - "ip p", - "l in", - "le x", - "ĠP al", - "Ġam ong", - "m s", - "ap p", - "ab or", - "Ġw orks", - "ĠV al", - "ĠG r", - "Ġ2 6", - "ĠCanad a", - "Ġ200 2", - "ĠE le", - "i us", - "ĠR ich", - "Ġf r", - "al ign", - "Ġro le", - "g es", - "Ġpro duced", - "ĠW hen", - "w ork", - "ĠP aul", - "Ġf e", - "Ġm ag", - "pl oy", - "for man", - "Ġle vel", - "ĠB u", - "o ff", - "Ġof ten", - "ol ution", - "Ġa ff", - "Ġl ate", - "Ġs pe", - "Ġre ad", - "Ġw eb", - "a pe", - "ĠDav id", - "ĠC ouncil", - "Ġth ough", - "Ġinv ol", - "Ġre se", - "Ġb gcolor", - "ĠF ootball", - "Ġp e", - "Ġ199 0", - "it ar", - "st on", - "at ch", - "Ġwrit ten", - "Ġex pl", - "Ġ2 8", - "Ġ2 7", - "or ies", - "im ent", - "ĠL ou", - "Ġeng ine", - "Ġf ore", - "ĠH ol", - "Ġep is", - "ĠAss ociation", - "Ġ es", - "stit ute", - "Ġad v", - "b ack", - "Ġte chn", - "ac ks", - "Ġ200 1", - "ĠW ith", - "b an", - "ĠR ed", - "Ġstart ed", - "Ġev en", - "ĠD r", - "umn i", - "Ġyou ng", - "Ġp oss", - "Ġall ow", - "o le", - "em pt", - "Ġcl os", - "iv id", - "o e", - "ro te", - "Ġm arried", - "it or", - "Ġg rad", - "ĠR ail", - "v al", - "Ġc ame", - "Ġoffic ial", - "Ġin it", - "Ġc over", - "Ġim port", - "ĠP resident", - "Ġcre ated", - "ĠAmer ica", - "ou ther", - "Ġw ent", - "form ation", - "Ġg iven", - "Ġs ite", - "Ġto tal", - "ol ic", - "g y", - "ir c", - "ĠSt reet", - "al t", - "Ġst ru", - "Ġe very", - "ĠF irst", - "Ġt urn", - "outher n", - "Ġcommun ity", - "y a", - "ĠF rom", - "ĠS ing", - "er ation", - "w est", - "oin ted", - "ĠSt ud", - "3 0", - "Ġjoin ed", - "ra p", - "om et", - "Ġv al", - "Ġeff ect", - "ĠH istor", - "it te", - "ĠK h", - "Ġra il", - "ot s", - "Ġpolit ical", - "Ġch ang", - "Ġwork ed", - "Ġwh at", - "Ġp res", - "Ġcon c", - "i j", - "Ġvari ous", - "ir on", - "Ġf re", - "Ġdevelop ment", - "ag o", - "ber t", - "ĠS en", - "ree k", - "ĠT own", - "Ġcon f", - "pos ed", - "s ite", - "ĠT rans", - "b or", - "ir l", - "Ġpro cess", - "m a", - "Ġ1 00", - "Ġt w", - "Ġv ideo", - "e al", - "Ġprofess ional", - "Ġele ct", - "her s", - "Ġf act", - "Ġm ilitary", - "ĠS l", - "ac hed", - "' t", - "ĠUn ion", - "Ġvers ion", - "at ic", - "olog ical", - "at ri", - "ĠGerman y", - "op e", - "re am", - "ĠGro up", - "Ġm uch", - "s elf", - "Ġpro te", - "Ġprodu ction", - "Ġh aving", - "Ġne xt", - "Ġcomm on", - "Ġb re", - "Ġcl aim", - "Ġbec ome", - "Ġspec ial", - "Ġg r", - "h old", - "ĠM art", - "Ġs ent", - "ĠH en", - "Ġm iss", - "Ġh ost", - "ĠB er", - "og n", - "Ġs w", - "ĠJ e", - "h ib", - "ĠV ir", - "ĠM ary", - "ĠM ag", - "Ġ198 0", - "ĠS er", - "ĠRo ad", - "o or", - "Ġus ing", - "ĠW e", - "Ġp ri", - "ĠBl ack", - "ĠAr ch", - "Ġ [", - "Ġdire ct", - "Ġreturn ed", - "ĠMe x", - "19 6", - "Ġw rote", - "Ġint ro", - "ĠP ri", - "Ġs it", - "Ġp resident", - "Ġpr im", - "m en", - "Ġt em", - "ĠItal ian", - "ĠM y", - "ĠJapan ese", - "Ġ199 9", - "est s", - "Ġ2 9", - "Ġg l", - "ĠAfric an", - "in ation", - "ĠT ur", - "Ġpos ition", - "Ġmat ch", - "h a", - "Ġan t", - "ict ion", - "ĠL aw", - "Ġdire ctor", - "i ography", - "m ing", - "ĠH all", - "oin ts", - "Ġteam s", - "Ġt ake", - "ĠW omen", - "Ġm ult", - "Ġch urch", - "Ġsong s", - "fl u", - "ĠThe se", - "Ġopen ed", - "Ġper forman", - "B C", - "ct s", - "il ar", - "ĠComm un", - "ĠW ash", - "ĠPro v", - "ivid ual", - "Ġf ew", - "Ġev ents", - "id a", - "Ġf un", - "ell ow", - "ĠG ames", - "Ġbe h", - "se qu", - "ĠS am", - "ĠRober t", - "arl iam", - "Ġv ol", - "ak en", - "ib r", - "itt le", - "ĠRuss ian", - "ĠLe g", - "an i", - "ent ion", - "e ad", - "ĠCh ina", - "oc rat", - "u le", - "ĠB est", - "l o", - "arliam ent", - "ar ian", - "g er", - "C A", - "ĠSc ott", - "2 1", - "Ġt imes", - "t ra", - "Ġst ory", - "Ġs ol", - "ĠO ther", - "ec ut", - "Ġpart icip", - "Ġw ay", - "Ġv oc", - "Ġfootball ers", - "y ing", - "ri an", - "Ġalbum s", - "ĠAcc ording", - "augh ter", - "Ġbe g", - "Ġh ig", - "ĠM ad", - "est ed", - "ĠC ap", - "ĠPl ay", - "un t", - "Ġf riend", - "Ġ199 8", - "ĠWash ington", - "it z", - "ĠC ourt", - "n ing", - "ic le", - "Ġatt ack", - "ket ball", - "ĠM iss", - "Ġro ad", - "stit ut", - "our ces", - "itte e", - "il es", - "an ies", - "Ġim p", - "Ġadm inist", - "ĠC ast", - "Ġpopul ar", - "Ġbro ther", - "Ġne ed", - "Ġwith out", - "ĠComp any", - "is l", - "ĠC ont", - "ĠThom as", - "at ter", - "Ġserv ices", - "ra g", - "an ces", - "a ur", - "Ġreg ion", - "end ing", - "Ġp ract", - "ĠS erv", - "Ġstud ents", - "idd le", - "Ġs k", - "Ġs ocial", - "od es", - "ĠC ath", - "Ġt er", - "ĠM en", - "ers hip", - "ĠS al", - "e x", - "wo od", - "ĠK n", - "a ign", - "Ġh alf", - "Ġbro ad", - "y ear", - "2 2", - "Ġg reat", - "Ġf ull", - "r ated", - "Ġcontin ued", - "Ġ197 0", - "Ġl ost", - "ĠA wards", - "ĠKing dom", - "ain ing", - "ĠCent ral", - "ĠS ociety", - "ac y", - "c raft", - "Ġco ach", - "y m", - "Ġm id", - "ĠM ont", - "ĠG rand", - "Ġal umni", - "ĠO p", - "us ed", - "Ġeduc ation", - "ra b", - "Ġrese arch", - "are nt", - "Ġ199 6", - "Ġatt empt", - "Ġs qu", - "Ġd ays", - "is ing", - "Ġh owever", - "ĠI r", - "b urg", - "Ġse e", - "ĠCh in", - "ens us", - "ĠRec ords", - "Ġprom ot", - "ap er", - "ĠM useum", - "4 0", - "Ġcomple ted", - "on a", - "Ġpro duc", - "Ġele cted", - "Ġapp ointed", - "ĠA lex", - "at ors", - "ĠChar les", - "ill s", - "ĠFl or", - "Ġcom b", - "ĠIs land", - "Ġinv est", - "Ġind ust", - "Ġin f", - "Ġ ident", - "est ival", - "in i", - "ĠD on", - "cent er", - "Ġpart y", - "ĠM et", - "Ġfound ed", - "Ġcont rol", - "Ġdire cted", - "ĠE duc", - "ĠCent er", - "Ġrecord ed", - "ĠTe x", - "Ġl im", - "Ġa ver", - "ific ation", - "u it", - "Ġr ight", - "ĠI m", - "r d", - "Ġ199 7", - "Ġsign ed", - "ĠE arly", - "Ġw ife", - "Ġe conom", - "ĠS ummer", - "amp le", - "l ess", - "Ġp oints", - "ber g", - "Ġpro per", - "Ġle ague", - "w h", - "as ons", - "Ġgroup s", - "Ġare as", - "2 3", - "Ġre view", - "Ġ18 5", - "Ġ /", - "ĠDe partment", - "Ġb ase", - "n el", - "Ġconsid ered", - "ish ing", - "ĠS im", - "Ġcon ne", - "Ġra ce", - "r ay", - "ĠAng el", - "ĠWest ern", - "Ġ202 3", - "ĠO ffic", - "Ġp oint", - "ĠJ ew", - "pl ay", - "Ġh on", - "ĠC he", - "Ġpart ic", - "Ġse le", - "at ural", - "ĠFran c", - "Ġre n", - "Ġf ind", - "Ġf urther", - "ĠV ict", - "j e", - "Ġm ar", - "= #", - "ĠT o", - "Ġc oll", - "ĠT V", - "Ġrel ations", - "ĠIn stitute", - "Ġc aus", - "ar ies", - "Ġv ict", - "ĠG old", - "ĠAcadem y", - "ĠLou is", - "ell s", - "Ġsim ilar", - "ĠOlymp ics", - "il i", - "Ġde g", - "ĠB ay", - "th let", - "Ġh old", - "ĠMich ael", - "Ġind ividual", - "way s", - "Ġto g", - "Ġre al", - "Ġpr iv", - "ĠG reat", - "Ġvi ew", - "ĠM ac", - "Ġweb site", - "Ġ z", - "id ence", - "ĠZ eal", - "Ġt en", - "ĠP ress", - "Ġtog ether", - "Ġ199 5", - "u ation", - "um p", - "Ġrele ase", - "ra in", - "ĠP at", - "ĠC ong", - "ĠZeal and", - "Ġ199 2", - "ric k", - "Ġin flu", - "ot a", - "ĠVir gin", - "ĠV ol", - "Ġreport ed", - "ĠChrist ian", - "Ġc ase", - "Ġappe ared", - "ĠM us", - "ĠRep ublic", - "ĠM er", - "ĠU K", - "et work", - "Ġ199 4", - "| |", - "ar ter", - "ar th", - "Ġs ports", - "Ġoff ice", - "ĠSp anish", - "ĠChin ese", - "Ġm other", - "ou l", - "ed eral", - "ĠAfric a", - "Ġtra ck", - "ĠK ore", - "m ar", - "Ġw eek", - "2 5", - "Ġ3 1", - "c ks", - "ĠT om", - "Ġ5 0", - "Ġm y", - "Ġk e", - "i que", - "Ġme et", - "Ġnov el", - "Ġcon d", - "Ġbir th", - "Ġdevelop ed", - "en c", - "Ġform ed", - "Ġin s", - "Ġh ous", - "it ive", - "y d", - "ak er", - "Ġ196 0", - "it ing", - "Ġmed al", - "ĠB ur", - "Ġhel p", - "Ġa ut", - "ĠCar ol", - "Ġgu itar", - "ad es", - "Ġla un", - "Ġass ist", - "ĠB en", - "Ġph ot", - "ĠIn ter", - "ĠT er", - "ul a", - "k n", - "ĠD an", - "ap t", - "Ġwork ing", - "e h", - "du ction", - "Ġd oc", - "Ġar r", - "Ġm aking", - "Ġimport ant", - "Ġto urn", - "c le", - "ĠG reen", - "i ers", - "Ġarch ite", - "ĠH am", - "ĠTex as", - "ail ed", - "ud e", - "re land", - "Ġart ist", - "Ġc ast", - "ĠWh ite", - "ĠP et", - "Ġgro w", - "ed y", - "Ġm unicip", - "Ġap pl", - "Ġg ood", - "im ately", - "it ted", - "ĠWh ile", - "ĠD el", - "Ġv ot", - "b and", - "ĠP ublic", - "Ġof fer", - "t a", - "id ing", - "ĠK e", - "ĠB as", - "c ial", - "ĠS ports", - "g o", - "Ġl ess", - "Ġtrad ition", - "Ġschool s", - "m on", - "ert ain", - "ic les", - "ĠMinist er", - "r as", - "ĠJ ose", - "Ġl ive", - "id ae", - "al a", - "ĠC ons", - "Ġd ata", - "ro ll", - "one y", - "it her", - "Ġph ys", - "Ġf und", - "Ġ199 3", - "ĠDem ocrat", - "Ġty p", - "Ġother s", - "ens ive", - "Ġh uman", - "Ġsh ould", - "Ġd aughter", - "ol a", - "ĠT or", - "ab ly", - "epend ent", - "at ives", - "Ġem ploy", - "Ġro ck", - "Ġd i", - "Ġgro und", - "ĠP eter", - "osp ital", - "Ġre v", - "ĠFran k", - "Ġrec ogn", - "Ġm ater", - "Ġhim self", - "Ġst ar", - "overn or", - "all s", - "v iron", - "Ġbuild ings", - "Ġde cl", - "Ġ =", - "re y", - "ĠCath olic", - "ĠM el", - "ĠS ong", - "ut y", - "ĠRich ard", - "le g", - "Ġr ul", - ") :", - "Ġac ross", - "az ine", - "Ġav ail", - "Ġf ire", - "Ġcomp anies", - "ĠS ur", - "g en", - "h i", - "ic ation", - "ĠSw ed", - "19 5", - "al y", - "ĠB ill", - "Ġb ody", - "p ite", - "s y", - "en a", - "ate g", - "ol f", - "Ġan im", - "ant ed", - "Ġcamp aign", - "Ġst ations", - "and ing", - "at re", - "Ġl anguage", - "sh ire", - "m ost", - "ri a", - "Ġe ight", - "19 4", - "um e", - "Ġdo es", - "ĠW il", - "b our", - "Ġaver age", - "ĠM ass", - "ĠL u", - "ĠU p", - "ĠF ore", - "Ġm ot", - "Ġ199 1", - "ce ed", - "Ġbl ack", - "Ġqu al", - "Ġex ist", - "Ġbec om", - "ĠPar is", - "ĠSec ond", - "Ġplay ing", - "ut es", - "ric ket", - "o ice", - "ra el", - "ĠL at", - "Ġt ro", - "g ress", - "Ġmod ern", - "Ġl ow", - "ĠHen ry", - "em or", - "Ġdef e", - "ĠSup er", - "ĠVict or", - "he ast", - "19 3", - "Ġh ow", - "ĠS ant", - "Ġepis ode", - "Ġ18 4", - "Ġp aint", - "st ro", - "Ġc le", - "Ġ et", - "ĠC ro", - "Ġgrad u", - "o res", - "S t", - "z il", - "Ġst age", - "Ġd ivision", - "Ġd ram", - "Ġex ample", - "Ġd er", - "ĠGeor g", - "Ġc ross", - "em ents", - "Ġ4 0", - "w rit", - "ud d", - "Ġr adio", - "ad a", - "Ġne ver", - "Ġl iving", - "air s", - "ĠD ire", - "Ġperform ed", - "h ood", - "Ġf oc", - "ĠL os", - "Ġfem ale", - "emb ly", - "ch ie", - "oc key", - "and id", - "Ġw inn", - "eth od", - "ĠH on", - "Ġl ight", - "ĠS ome", - "Ġse par", - "Ġart ists", - "Ġbel ie", - "ĠRe v", - "Ġf ree", - "ĠSm ith", - "Ġpolitic ian", - "Ġac qu", - "ĠP enn", - "Ġass oci", - "w are", - "ĠOr der", - "Ġf ight", - "t ime", - "ur a", - "ent ial", - "Ġcont ract", - "ov iet", - "2 4", - "ĠChampionship s", - "ĠL ake", - "ĠB ut", - "ibr ary", - "ough t", - "Ġstr ong", - "ign ed", - "Ġsuccess ful", - "Ġmon ths", - "ĠF C", - "Ġre d", - "Ġkill ed", - "at ory", - "im ate", - "Ġfin ished", - "ĠEduc ation", - "av al", - "Ġpl aces", - "id ents", - "Ġcon struction", - "ĠCh ic", - "he ad", - "pe ople", - "k ed", - "ĠI reland", - "ĠO l", - "Ġg ave", - "Ġestablish ments", - "Ġ198 8", - "ĠC amp", - "Ġm us", - "av es", - "ĠG o", - "Ġavail able", - "ĠDe f", - "Ġcon du", - "Ġa way", - "Ġgo al", - "Ġ198 9", - "v a", - "Ġperforman ce", - "if f", - "ell ing", - "ĠO b", - "ĠS aint", - "Ġt re", - "Ġal though", - "id s", - "ĠP an", - "as c", - "ish op", - "Ġpro t", - "Ġbo oks", - "ran ch", - "il ities", - "viron ment", - "it a", - "ĠS pec", - "Ġj ournal", - "an o", - "Ġin formation", - "Ġ ide", - "ĠD ay", - "ad o", - "inal s", - "z a", - "ic ated", - "ĠFilm s", - "he re", - "ĠOlymp ic", - "Ġd am", - "ĠC ur", - "Ġt aken", - "ĠV ill", - "ĠW in", - "ĠNot es", - "le ft", - "ell a", - "Ġcap t", - "it ch", - "i qu", - "ĠBra zil", - "ĠIs rael", - "ĠD u", - "ific ant", - "Ġshow s", - "Ġfollow ed", - ", \"", - "Ġr ank", - "o o", - "Ġag re", - "ĠR ob", - "ĠC areer", - "Ġto ur", - "ug by", - "Ġc ost", - "Ġm ix", - "ĠVirgin ia", - "Ġhe alth", - "Ġfr ont", - "Ġj ud", - "om a", - "ĠG overnment", - "Ġinclud es", - "Ġaward ed", - "Ġc irc", - "ut ch", - "Ġtourn ament", - "Ġc our", - "ĠM a", - "ĠL ife", - "ĠM in", - "\" |", - "Ġfeat ures", - "ig an", - "Ġ :", - "ĠJ ust", - "I I", - "Ġvi ol", - "Ġoriginal ly", - "Ġdesign ed", - "s erv", - "ĠT our", - "ĠAt l", - "Ġhouse hold", - "ĠH ill", - "ag ed", - "nd er", - "n y", - "i os", - "Ġac cess", - "Ġmater ial", - "ĠTe am", - "Ġse ven", - "se c", - "Ġs en", - "ve y", - "Ġc ourt", - "ĠE mp", - "e g", - "ĠC arl", - "ĠIt s", - "ĠM r", - "Ġim pro", - "Ġp ut", - "om s", - "Ġc ivil", - "Ġrel ig", - "2 6", - "Ġrem ained", - "ĠP erson", - "ĠHistor ic", - "Ġs ound", - "ĠAr ts", - "Ġs il", - "ist an", - "Ġstud y", - "Ġl ab", - "en ed", - "ĠG all", - "ĠR ock", - "Ġon ce", - "ĠG ra", - "2 7", - "Ġfeat ured", - "Ġin j", - "Ġd ou", - "ĠRail way", - "er ous", - "ar ia", - "ĠS qu", - "Ġfor ces", - "atri ate", - "Ġsc ored", - "ĠL and", - "ur ity", - "Ġc y", - "Ġ ill", - "om m", - "Ġt est", - "Ġ #", - "Ġp ress", - "ac hes", - "Ġ198 7", - "ol k", - "Ġb ar", - "ĠChic ago", - "2 8", - "he st", - "it es", - "Ġmark et", - "Ġbas ketball", - "ip le", - "Ġde v", - "Ġre b", - "Ġsing er", - "Ġsign ificant", - "ĠM o", - "ach ing", - "ap s", - "il ies", - "Ġpl an", - "end er", - "Ġex ecut", - "r or", - "ĠS oviet", - "ic ations", - "re l", - "Ġlead ing", - "Ġtra ining", - "em s", - "ĠSc ot", - "v in", - "Ġpol ice", - "Ġmed ia", - "ĠFor ce", - "Ġe arn", - "ver t", - "ĠS ub", - "y e", - "ic y", - "Ġ195 0", - "ĠM il", - "C h", - "Ġm ount", - "Ġlarg est", - "Ġr ights", - "ĠS ir", - "ear ch", - "ĠComm ission", - "augh t", - "ĠT wo", - "ĠItal y", - "m ier", - "A mer", - "ĠS o", - "ĠPro fess", - "Ġ198 6", - "our ce", - "Ġm ust", - "Ġair craft", - "Ġst ri", - "ĠM od", - "Ġmod el", - "ut er", - "ĠMex ico", - "Ġ198 4", - "Ġch art", - "Ġen c", - "y p", - "Ġs em", - "ĠCl ass", - "ĠI ll", - "Ġthrough out", - "ĠPol it", - "Ġl iter", - "ist ics", - "ĠP arliament", - "Ġg old", - "Ġtrans fer", - "Ġcons ist", - "v ing", - "ĠS ince", - "ĠMar k", - "Ġinvol ved", - "Ġc ou", - "ĠC at", - "Ġlist ed", - "Ġsub sequ", - "ord er", - "Ġst ated", - "ien ces", - "Ġwh ite", - "ĠO ff", - "ĠAn n", - "Ġw id", - "un k", - "Ġbo ard", - "s el", - "Ġintro duced", - "Ġrepl aced", - "ĠIr ish", - "Ġs ugg", - "ann el", - "Ġe arl", - "Ġse en", - "Ġcompet ition", - "Ġb i", - "Ġ18 3", - "un s", - "ĠE r", - "ĠProv ince", - "ĠFlor ida", - "Ġc andid", - "Ġd iv", - "if t", - "6 0", - "2 9", - "Ġtrans l", - "ĠN avy", - "ĠM ur", - "Ġ198 5", - "Ġwrit er", - "Ġevent ually", - "Ġpriv ate", - "Ġv ia", - "Ġresp ons", - "rib ution", - "ut ure", - "ĠTe chn", - "Ġcrit ic", - "Ġresult s", - "Ġent ire", - "u ff", - "Ġvoc als", - "c her", - "Ġab le", - "u z", - "um m", - "ĠD o", - "te xt", - "Ġr an", - "Ġadd ed", - "ret ary", - "ĠAl though", - "Ġc ollege", - "ĠD en", - "Ġpro ble", - "ĠO per", - "ĠComm ittee", - "ĠF estival", - "Ġfour th", - "ĠS il", - "o ch", - "Ġp ast", - "Ġcount ries", - "ĠF in", - "as k", - "ĠB us", - "ro ad", - "A S", - "el t", - "ĠW ales", - "c ript", - "Ġw ind", - "ĠAngel es", - "y r", - "ĠO ver", - "Ġcent ral", - "Ġst e", - "Ġact ress", - "m b", - "uf act", - "Ġsur v", - "as ing", - "ul arly", - "Ġa ud", - "Ġwrit ers", - "u a", - "ian o", - "Ġcomm and", - "Ġass ociation", - "Ġle ast", - "m in", - "Ġres pect", - "i res", - "ĠBro wn", - "ĠE v", - "Ġl oss", - "yl van", - "Amer ican", - "Ġsp ace", - "por ary", - "Ġs er", - "A R", - "ĠSc ience", - "ĠO ut", - "mer cial", - "8 0", - "ĠN orthern", - "Ġun its", - "ĠM ost", - "ab ility", - "f ic", - "ĠR h", - "Ġn omin", - "ĠF ound", - "ĠSt ar", - "ĠRuss ia", - "Ġm inist", - "Ġs ch", - "b b", - "ok e", - "ĠU k", - "ĠG od", - "r up", - "Ġdeg ree", - "i ro", - "ĠCong ress", - "ĠCarol ina", - "Ġst aff", - "Ġdisc over", - "Ġ198 3", - "Ġr ange", - "Ġst ates", - "ib l", - "ĠAr g", - "ri al", - "Ġcl ose", - "ĠR os", - "Ġdoc ument", - "ra w", - "ĠJ un", - "Ġbroad cast", - "n ow", - "Ġf ig", - "Ġab ove", - "pl es", - "Ġre ached", - "med i", - "g ian", - "l or", - "Ġc ensus", - "ĠServ ice", - "st e", - "ant ic", - "Ġpl ant", - "ĠCol umb", - "ĠL iber", - "ĠE s", - "ĠC r", - "Ġch ange", - "erv e", - "T V", - "Ġprov ided", - "ĠJose ph", - "ĠO h", - "Ġse asons", - "Ġt reat", - "Ġcurrent ly", - "oy s", - "Ġex hib", - "ĠO ld", - "i ents", - "b ur", - "rough t", - "Ġg et", - "Ġcont ribut", - "Ġexp ress", - "ylvan ia", - "l im", - "Ġp ur", - "Ġe ither", - "Ġf av", - "Ġ( \"", - "Ġch ampionship", - "r ative", - "ĠS a", - "f ace", - "Ġtra vel", - "or por", - "Ġac cept", - "Ġpl aced", - "u x", - "sy ch", - "Ġmiss ing", - "Ġup on", - "ĠF re", - "al ed", - "F A", - "Ġrail way", - ") ;", - "bo ard", - "ĠS eries", - "Ġs aw", - "ad ium", - "Ġinter est", - "st ant", - "ian a", - "Ġstru ct", - "ĠC am", - "F L", - "ĠP ac", - "ab it", - "ist ic", - "ip l", - "Ġ198 2", - "Ġcent er", - "Ġm ur", - "w ell", - "Ġk ey", - "Ġ !", - "Ġa ction", - "ĠAss embly", - "a ut", - "ĠF ort", - "ĠD ou", - "Ġocc ur", - "ed s", - "Ġty pe", - "ĠM os", - "cept ion", - "Ġp ot", - "ĠM ic", - "kn own", - "p ly", - "is es", - "Ġc op", - "ĠF urther", - "ĠF ollow", - "Ġn ight", - "Ġa chie", - "ig er", - "g l", - "ĠS k", - "Ġd u", - "ĠR am", - "Ġatt ended", - "Ġ197 9", - "stit ution", - "Ġle arn", - "ĠM ill", - "Ġcharact ers", - "ĠB re", - "l anguage", - "ĠB attle", - "ĠA rab", - "Ġse x", - "ubl ican", - "ay ing", - "ĠM at", - "az z", - "Ġcap ital", - "p ress", - "ĠP opul", - "et te", - "Ġme as", - "Ġdec ided", - "ĠM ain", - "ĠW ood", - "Ġf if", - "l am", - "i h", - "ĠM ajor", - "ĠT ro", - "ele b", - "Ġar g", - "Ġdec ision", - ". )", - "ult ural", - "Ġprevious ly", - "Ġdra w", - "ĠRes earch", - "eng th", - "ar ily", - "ĠEmp ire", - "ĠG reek", - "ĠF red", - "ult ure", - "c a", - "Ġst re", - "Ġde stro", - "Ġne igh", - "Ġ197 2", - "Ġlead er", - "Ġh om", - "d en", - "ĠDemocrat ic", - "g r", - "Ġappro x", - "am ily", - "Ġstud io", - "Ġse ction", - "er o", - "Ġus ually", - "Ġme an", - "ĠPenn s", - "Ġ197 6", - "or ing", - "Ġm ass", - "ĠS ol", - "Ġdefe ated", - "ĠOffic ial", - "ĠH a", - "Ġsing les", - "and a", - "Ġed ition", - "ĠMart in", - "u an", - "ĠD utch", - "Ġre ve", - "Ġocc up", - "ow ers", - "st ra", - "re me", - "ĠC le", - "ĠS un", - "p ing", - "ĠFollow ing", - "Ġkn ow", - "Ġg rand", - "Ġn atural", - "Ġinst ead", - "Ġeff ort", - "ĠMed al", - "ĠJ im", - "ĠScott ish", - "Ġp ain", - "Ġpo et", - "Ġact or", - "Ġr iver", - "ĠSp ain", - "ch an", - "Ġf arm", - "Ġp arent", - "Ġacc ount", - "il s", - "ig a", - "ĠS ocial", - "ĠPenns ylvania", - "Ġb ur", - "B A", - "or a", - "Ġsub ject", - "st r", - "c el", - "c ell", - "Ġ198 1", - "Ġw inning", - "Ġproduc er", - "ĠG ar", - "inc ip", - "ans as", - "ĠM embers", - "Ġinvest ig", - "Ġwh ose", - "ult y", - "ult s", - "Ġm ethod", - "ĠW al", - "um ents", - "Ġpl ann", - "Ġ197 8", - "ĠL ove", - "Ġpart s", - "ĠIn c", - "Ġact ive", - "Ġ197 4", - "Ġrepresent ed", - "in ent", - "ĠM ilitary", - "Ġmov ement", - "at o", - "Ġg e", - "ĠH ow", - "Ġprim ary", - "Ġprov ide", - "ĠAs ian", - "Ġfam ilies", - "Ġcult ure", - "Ġ196 8", - "ĠP ak", - "w an", - "Ġrelations hip", - "Ġplay s", - "9 0", - "ĠL ater", - "ĠF inal", - "b ased", - "Ġf ar", - "Ġp ark", - "ĠR adio", - "Ġsc ient", - "Ġorgan iz", - "pt ion", - "Ġpr ison", - "ĠJ ud", - "Ġde al", - "ĠLe e", - "Ġp red", - "Ġn orthern", - "Ġ194 0", - "Ġs outhern", - "Ġbeh ind", - "Ġp urch", - "ĠE p", - "pos ition", - "r ig", - "Ġt ax", - "ĠH ot", - "cl us", - "ĠT w", - "ar io", - "Ġ197 5", - "ug u", - "ĠC ross", - "l a", - "ĠI ran", - "ĠYou ng", - "ig ital", - "Ġmus ical", - "ĠBu ild", - "ad y", - "ens ion", - "Ġs ize", - "y er", - "ĠC ivil", - "ĠCh ief", - "Ġb ank", - "Ġl ik", - "7 0", - "omet imes", - "Ġ197 7", - "se e", - "ri e", - "Ġl ower", - "ĠB ul", - "ing u", - "ĠBo ard", - "w er", - "ĠB et", - ".. .", - "Ġgo als", - "isc o", - "ĠS ar", - "ĠSp ace", - "Ġb rought", - "ĠP ost", - "Ġread ing", - "Ġco ast", - "Ġnew sp", - "ĠB ig", - "ĠB ase", - "erg y", - "Ġout side", - "ĠL oc", - "Ġac adem", - "ĠH el", - "Ġs us", - "s k", - "ĠS outhern", - "ĠReg ister", - "\" )", - "n ot", - "Ġp ers", - "Ġcolle ction", - "Ġh ard", - "Ġorgan ization", - "im b", - "ar ing", - "Ġc ut", - "Ġ i", - "ĠC D", - "end s", - "ĠH aw", - "Ġr ather", - "all ed", - "ĠB ack", - "ers ey", - "Ġ197 3", - "Ġf all", - "m ark", - "Ġclos ed", - "a o", - "Ġindust ry", - "Ġrun s", - "Ġwrit ing", - "al i", - "Ġn etwork", - "Ġg irl", - "Ġend ed", - "N A", - "Ġc ricket", - "ĠJ ack", - "Ġman ufact", - "Ġc are", - "h an", - "Ġdram a", - "Ġk ing", - "ĠL uc", - "or se", - "Ġfor ce", - "Ġsh ot", - "ir m", - "Ġfootball er", - "Ġ193 0", - "ĠAd m", - "it an", - "Ġsystem s", - "anc ial", - "p an", - "at i", - "pec ially", - "he t", - "aw a", - "ĠO x", - "I D", - "ĠEd ward", - "ĠEng ine", - "ct ive", - "Ġh it", - "ĠL ong", - "Ġes c", - "ul ation", - "oun ter", - "Ġposs ible", - "Ġw ood", - "Ġim m", - "ĠVal ley", - "ĠR el", - "Ġreg ard", - "ĠU nder", - "ĠT ri", - "Ġ194 5", - "Ġmat ches", - "m ond", - "Ġallow ed", - "Ġstud ies", - "ĠV er", - "ĠU r", - "ĠS pr", - "ĠT imes", - "Ġne g", - "Ġal most", - "it ors", - "ĠRep ublican", - "Ġreg ular", - "Ġ196 9", - "ven ue", - "id er", - "Ġstru cture", - "Ġst op", - "in ary", - "Ġ197 1", - "Ġmag azine", - "ĠJew ish", - "em ic", - "ur b", - "Ġchang ed", - "Ġcomm ission", - "Ġfre qu", - "c ient", - "enn is", - "ĠTe levision", - "in ated", - "l ike", - "ĠJ ul", - "ent h", - "Ġc at", - "ĠB ob", - "back ground", - "ĠP o", - "ĠB ank", - "Ġd en", - "ĠMich igan", - "Ġis land", - "c ing", - "Ġpl at", - "Ġsett le", - "Ġsch ol", - "ĠD isc", - "Ġlaun ched", - "Ġb all", - "ĠM ah", - "Ġoper ations", - "it iz", - "ĠC amb", - "air man", - "ov ers", - "Ġw oman", - "ĠPl aces", - "velop ment", - "Ġbeg inning", - "ac ing", - "Ġperson al", - "ĠJ er", - "ĠO s", - "Ġter rit", - "k o", - "Ġto wards", - "3 5", - "on n", - "Ġte xt", - "i as", - "Ġtrans port", - "ĠMc C", - "Ġgen us", - "ĠA thlet", - "Ġown ed", - "Ġdet erm", - "Ġt aking", - "Ġn ar", - "Ġf ood", - "ĠOp en", - "Ġmanag er", - "et ts", - "Ġacc ording", - "e es", - "Ġ196 7", - "Ġc ases", - "ĠT im", - "Ġm er", - "ĠH ung", - "ĠHe alth", - "ip s", - "y an", - "Ġn ames", - "ak a", - "Ġind ependent", - "Ġcon stru", - "Ġwh om", - "Ġp ay", - "us band", - "ĠV i", - "ly ing", - "Ġ196 4", - "ol s", - "Ġsc ience", - "Ġf a", - "Ġrem ov", - "Ġoffic er", - "Ġc red", - "ĠPhil ipp", - "Ġ )", - "ĠOh io", - "ĠB h", - "Ġsc ore", - "st ate", - "ĠK ent", - "Ġapprox imately", - "ĠIn f", - "Ġmin or", - "Ġv eh", - "ĠT op", - "Ġob serv", - "ĠL ine", - "ĠF r", - "7 5", - "ĠUn ivers", - "Ġcomp let", - "Ġbre ak", - "ĠR ou", - "im a", - "ĠPol and", - "Ġfun ction", - "ib ility", - "ĠJ o", - "b ury", - "ino is", - "Ġe ver", - "Ġsc reen", - "b on", - "Ġconc ern", - "Ġsp ent", - "Ġar my", - "ĠG al", - "ĠArg ent", - "Ġaddition al", - "ct ing", - "g a", - "pe cted", - "Ġsqu ad", - "Ġ6 0", - "ĠD is", - "o id", - "Ġph il", - "ĠII I", - "ĠA re", - "o ir", - "Ġnot ed", - "in et", - "ĠScot land", - "ĠM ot", - "ĠG h", - "Ġs elf", - "Ġob ject", - "en ced", - "Ġcomple x", - "Ġbo x", - "ir a", - "Ġc eleb", - "amp ions", - "ĠT re", - "ach us", - "ĠL ord", - "if y", - "w w", - "Ġiss ues", - "Ġcount y", - "ĠPol ish", - "Ġ19 20", - "os h", - "il ed", - "Ġch ief", - "ĠB or", - "en ces", - "Ġsen ior", - "es h", - "k ing", - "ĠQue en", - "Ġc he", - "Ġmon th", - "Ġb attle", - ": #", - "Ġcom mercial", - "ost on", - "Ġl ived", - "Ġs ummer", - "Ġele ctions", - "4 5", - "Ġits elf", - "Ġd ate", - "Ġmult iple", - "Ġrel ated", - "uf fer", - "ĠPac ific", - "Ġs at", - "read y", - "Ġpolitic ians", - "Ġfoc us", - "Ġhig hest", - "Ġro ute", - "ĠNew s", - "Ġso on", - "ĠM att", - "ĠJ r", - "ĠIll inois", - "Ġtradition al", - "d own", - "Ġto o", - "Ġl ittle", - "Ġf uture", - "Ġle t", - "Ġqu est", - "Ġes pecially", - "ĠDire ctor", - "Ġhig her", - "Ġopen ing", - "ay a", - "ard en", - "Ġsup er", - "Ġlo ok", - "ĠE nd", - "Ġ196 5", - "um s", - "Ġm oney", - "Ġc al", - "ac her", - "ĠO k", - "ĠBrit ain", - "Ġrequ ired", - "ĠRep resent", - "achus etts", - "f ect", - "Ġinter view", - "Ġun ion", - "ĠCon ference", - "ĠD i", - "ĠJ ersey", - "Ġ196 6", - "bur gh", - "em porary", - "ĠS and", - "ĠGeorg ia", - "Ġen vironment", - "r ich", - "ad or", - "Ġed itor", - "ct ic", - "ob al", - "Ġcont ains", - "Ġappear ance", - "ĠC y", - "ĠAs ia", - "Ġbel ow", - "Ġ18 0", - "k ins", - "Ġproper ty", - "Ġpri or", - "ĠG overnor", - "ĠA z", - "19 0", - "ĠC olle", - "ĠL ab", - "ĠMass achusetts", - "Ġvict ory", - "h ouse", - "Ġme ans", - "Ġsele cted", - "Ġent ered", - "ch ange", - "on se", - "ĠB oston", - "ĠF er", - "Ġstud ied", - "d s", - "Ġpro f", - "ig r", - "p ut", - "Ġh usband", - "ĠL o", - "ĠBo ok", - "Ġpract ice", - "ĠEast ern", - "S A", - "Ġe mer", - "Ġsur round", - "Ġloc ation", - "al ys", - "st anding", - "Ġex am", - "ut en", - "Ġassoci ated", - "emor ial", - "ĠTh at", - "Ġun it", - "ĠC O", - "ĠJ ournal", - "vent ion", - "Ġm ission", - "Ġstruct ures", - "Ġb ass", - "Ġr ad", - "ĠHe ad", - "Ġmur der", - "Ġtr ade", - "j a", - "Ġ3 5", - "Ġd on", - "w a", - "Ġprofess or", - "ĠL ibrary", - "ĠColumb ia", - "ĠB ang", - "Ġc ertain", - "Ġcent re", - "ĠJ ac", - "Ġstand ard", - "Ġship s", - "ĠG re", - "F C", - "Ġret ired", - "op er", - "Ġse at", - "Ġad op", - "Ġearl ier", - "ĠPr ince", - "Ġar ran", - "Ġ ens", - "3 3", - "i i", - "Ġrun ning", - "Ġmanag ement", - "ĠM ore", - "Ġ er", - "Ġbecom ing", - "Ġd om", - "ĠJe an", - "Ġde partment", - "ĠG ame", - "w ith", - "ĠF ield", - "Ġstud ent", - "ry ing", - "Ġ194 4", - "ĠM P", - "Ġactiv ities", - "t ained", - "Ġso ft", - "Ġt rib", - "ĠThe atre", - "ĠJ ones", - "Ġclub s", - "Ġcom e", - "ĠWilliam s", - "Ġl ength", - "an ks", - "Ġem b", - "Ġmunicip ality", - "il a", - "Ġleg al", - "and ed", - "i y", - "al le", - "Ġcoll abor", - "ĠSt an", - "ail s", - "ig g", - "ĠDe velopment", - "Ġmed ical", - "Ġact ors", - "Ġs uffer", - "Ġcom edy", - "arri age", - "in em", - "N E", - "ĠM iddle", - "gy pt", - "ian ce", - "Ġleg isl", - "Ġinit ially", - "om y", - "ĠW eb", - "Ġqu arter", - "Ġcaus ed", - "9 9", - "ĠM any", - "Ġal ready", - "ad el", - "Ġs ometimes", - "Ġp ie", - "s en", - "b re", - "ĠS oc", - "Ġp en", - "Ġth us", - "Ġtra in", - "ĠCo ast", - "ĠFranc isco", - "ĠE conom", - "ĠV an", - "Ġdestro y", - "Ġmov e", - "Ġoper ated", - "et ic", - "ĠI f", - "Ġfeat ure", - "ĠB ow", - "ĠH ong", - "Ġgeneral ly", - "ĠSt ep", - "ĠK ong", - "Ġar rest", - "Ġfore st", - "Ġincre ased", - "Ġequ ip", - "ĠD et", - "ĠS at", - "Ġold er", - "Ġh ockey", - "Ġl ove", - "ĠK ar", - "ĠW ater", - "ant ry", - "Ġcour se", - "Ġw ide", - "ĠOr gan", - "tra ck", - "Ġwest ern", - "ĠM u", - "ĠW ind", - "sp an", - "Ġnum erous", - "ĠAl bert", - "am m", - "ĠBl ue", - "Ġcon v", - "Ġus es", - "Ġcompet ed", - "n o", - "Ġc ouncil", - "Ġnew s", - "Ġra p", - "ĠMan ag", - "Ġg ra", - "Ġann ual", - "Ġdif fic", - "a res", - "ee ks", - "Ġs af", - "ĠF ed", - "is ation", - "ĠJohn son", - "ĠP res", - "Ġ196 3", - "Ġchang es", - "ĠCons erv", - "and s", - "k en", - "Ġv ir", - "ĠE ll", - "ĠD ie", - "ĠM id", - "ĠCh ild", - "on ia", - "ĠPerson al", - "ĠSy stem", - "el a", - "Ġmajor ity", - "og rap", - "Ġs u", - "ĠDe ath", - "ill a", - "Ġterm s", - "Ġserv ing", - "ĠB C", - "ĠCent re", - "ri ef", - "Ġiss ue", - "ul pt", - "Ġf ederal", - "ĠA k", - "att al", - "stit u", - "Ġab s", - "ĠB iography", - "Ġant i", - "ad d", - "Ġind ic", - "ple ment", - "Ġperson nel", - "Ġbet ter", - "Ġcol on", - "Ġun iversity", - "ab eth", - "ĠBro ad", - "Ġ196 2", - "ul f", - "Ġth reat", - "ĠSer b", - "el le", - "Ġrelig ious", - "ĠA ri", - "Ġse a", - "p re", - "Ġc ust", - "Ġs ister", - "ĠT ime", - "ĠE gypt", - "I n", - "ĠB al", - "Ġke ep", - "it ation", - "ĠOx ford", - "ak h", - "ĠB ir", - "ĠSt ation", - "ĠT em", - "Ġpro b", - "ĠG ood", - "ĠTrans port", - "ĠOff ice", - "A C", - "ĠIn t", - "ĠW rit", - "Ġd rop", - "Ġlin es", - "ĠS pe", - "Ġpass ed", - "ĠH ome", - "ĠT am", - "as y", - "ĠAd am", - "Ġd ed", - "ĠSpec ial", - "Ġl ack", - "ĠIs lam", - "ĠW ild", - "Ġacc om", - "che n", - "ĠAlex ander", - "ĠL ittle", - "ĠTra ck", - "t ies", - "ĠComm on", - "Ġh ot", - "Ġexp atriate", - "Ġthough t", - "Ġor d", - "ĠSwed ish", - "man n", - "art ers", - "Ġoffic ers", - "ĠF our", - "ie uten", - "ĠL y", - "ir it", - "is her", - "ce an", - "Ġrecord ing", - "Ġclaim ed", - "Ġh um", - "Ġfor ced", - "ur ban", - "ĠU l", - "Ġprogram s", - "9 5", - "ĠM ax", - "Ġeconom ic", - "Ġstat us", - "Ġdisc uss", - "Ġ4 5", - "ĠK en", - "w ar", - "ĠFound ation", - "Ġn ine", - "Ġinst r", - "Ġlim ited", - "un n", - "orpor ated", - "; \"", - "Ġm useum", - "a ction", - "Ġsupport ed", - "it age", - "Ġim medi", - "ĠB ern", - "Ġ194 2", - "Ġmin utes", - "ĠSen ate", - "Ġcomple te", - "Ġp il", - "acks on", - "ub e", - "Ġcre ate", - "b l", - "Ġgen er", - "ĠCor ps", - "Ġover all", - "Ġh ours", - "Ġsubsequ ently", - "h ire", - "Ġsh oot", - "Ġpresent ed", - "Ġb ene", - "8 8", - "Ġmeet ing", - "ĠThe ir", - "ph y", - "ĠEn ter", - "ĠLat in", - "Ġrem ains", - "ĠF ar", - "ĠGall ery", - "ĠC ard", - "ĠR ay", - "Ġ194 8", - "ro wn", - "Ġ ice", - "ing er", - "ĠAd d", - "ig inal", - "ĠAnd rew", - "Ġdes cent", - "Ġra ised", - "uc le", - "Ġearn ed", - "Ġin stitut", - "v is", - "Ġl ic", - "Ġocc as", - "ĠB ibl", - "A T", - "Ġbel ong", - "ct ors", - "Ġev idence", - "n am", - "Ġcommun ities", - "ĠA sh", - "Ġch all", - "ĠVictor ia", - "Ġgo ing", - "Ġ194 3", - "ĠO f", - "ĠF I", - "3 6", - "iz ing", - "Ġplat form", - "Ġmost ly", - "un a", - "ap ers", - "Ġ195 6", - "Ġj ob", - "ĠC reek", - "is k", - "Ġ196 1", - "ĠSe a", - "Ġhistor ical", - "u ge", - "um ber", - "Ġw eeks", - "Ġal tern", - "m i", - "Ġf le", - "Ġappear ances", - "ĠEl iz", - "Ġse qu", - "w ide", - "at ers", - "ĠSy d", - "ĠBer lin", - "ail y", - "Ġ6 5", - "ĠM inn", - "ur t", - "ĠDe v", - "Ġresp onse", - "ĠS und", - "ĠCor por", - "ĠT y", - "Ġg ive", - "4 7", - "Ġs om", - "ĠJ ackson", - "A F", - "ze ch", - "ieuten ant", - "Ġper cent", - "ĠC orn", - "ĠKore an", - "Ġpro p", - "Ġb ound", - "Ġsh own", - "Ġar m", - "ĠC op", - "Ġin sp", - "w in", - "im s", - "Ġcon cept", - "Ġ195 8", - "ir ing", - "Ġo pt", - "B S", - "Ġreg ional", - "ĠDan iel", - "Ġpartic ularly", - "Ġinc ome", - "g u", - "ĠAl bum", - "ĠW eek", - "Ġacqu ired", - "Ġparent s", - "Ġfore ign", - "ĠR aj", - "Ġb omb", - "ĠSec retary", - "ĠEle ct", - "ĠIs lands", - "Ġm ention", - "Ġpol icy", - "Ġy outh", - "ĠN ight", - "im um", - "ont o", - "Ġc ell", - "alys is", - "Ġ195 9", - "ste in", - "Ġm iddle", - "enc ies", - "3 8", - "che ster", - "Ġdis e", - "re m", - "Ġrecord s", - "ent y", - "ĠPol ice", - "Ġin n", - "Ġt akes", - "os oph", - "4 8", - "Ġlong er", - "ĠB BC", - "Ġl os", - "Ġg ot", - "Ġhel ped", - "ell ed", - "Ġpartic ular", - "Ġf ailed", - "ri ed", - "Ġappe ars", - "ĠG irl", - "Ġ ver", - "Ġpromot ed", - "ĠDes pite", - "Ġa wards", - "on ic", - "Ġpr incip", - "Ġst ep", - "Ġ194 6", - "ĠTh ree", - "ent al", - "st one", - "Ġfam ous", - "Ġbl ock", - "ĠKore a", - "Ġrem ain", - "out heast", - "Ġthe ory", - "ĠR od", - "olog ist", - "Ġin te", - "ag n", - "Ġv ote", - "Ġfin ancial", - "Ġorganiz ations", - "ak ers", - "Ġle aving", - "ĠAt t", - "Ġtra cks", - "ĠM ov", - "ĠR og", - "Ġeast ern", - "o z", - "led ge", - "Ġg overn", - "Ġbase ball", - "ĠB i", - "Ġp sych", - "Ġ194 1", - "Ġm em", - "ĠW ork", - "Ġtechn ology", - "Ġ3 2", - "Ġen ergy", - "v ement", - "cl ass", - "om er", - "Ġsc hed", - "Ġv on", - "if ying", - "Ġm ach", - "y o", - "Ġcompos ed", - "ron ze", - "Ġh app", - "4 6", - "Ġrefer red", - "b ers", - "ĠW all", - "ĠT ax", - "ĠReg iment", - "Ġspec ific", - "Ġcre w", - "ĠSyd ney", - "ĠF amily", - "3 7", - "Ġqu ick", - "em et", - "ĠH ospital", - "Ġincre ase", - "c ul", - "ĠM unicip", - "ĠK enn", - "Ġc itiz", - "Ġbelie ved", - "Ġrem aining", - "Ġw ord", - "ĠC oll", - "ĠSh ow", - "Ġprov ince", - "Ġc ateg", - "Ġlarg er", - "ĠJ oe", - "Ġhous es", - "ĠCh arl", - "rop ol", - "ĠV iet", - "ĠC zech", - "te en", - "Ġh ospital", - "v est", - "c an", - "Ġc arried", - "ĠO tt", - "ĠL im", - "Ġ eth", - "T h", - "ĠV en", - "ric e", - "il ly", - "ou ri", - "ĠBus iness", - "Ġam ount", - "Ġl atter", - "ĠH y", - "ĠW ay", - "Ġtro ops", - "ĠF ederal", - "th ur", - "istric ts", - "Ġ195 7", - "Ġd iss", - "Ġ193 9", - "C C", - "Ġ( ),", - "ĠAr m", - "Ġstart ing", - "ĠTur k", - "Ġarchite ct", - "ov a", - "ĠP en", - "9 6", - "Ġ194 7", - "sel ves", - "ment ary", - "im ated", - "Ġthem selves", - "Ġl ay", - "Ġb rand", - "ĠQue ens", - "ĠD er", - "Ġt arg", - "l av", - "rup t", - "Ġpro posed", - "Ġch arg", - "Ġn orm", - "9 8", - "Ġfor t", - "ut s", - "Ġro om", - "Ġb ring", - "Ġepis odes", - "Ġn ative", - "ĠR et", - "Ġc er", - "Ġ195 2", - "Ġr ate", - "ĠFor m", - "ĠB oth", - "ĠO nt", - "Ġindividual s", - "ĠW orks", - "ĠB and", - "eng er", - "Ġgradu ated", - "Ġassist ant", - "Ġ3 6", - "m ore", - "e ch", - "ut t", - "ur ies", - "Ġp ra", - "Ġl og", - "ĠB ab", - "Ġwinn er", - "Ġform s", - "Ġcult ural", - "p ose", - "Ġde part", - "ĠPri ze", - "Ġ195 5", - "Ġc ities", - "itt ing", - "Ġsur face", - "Ġc hem", - "he w", - "ĠPr ime", - "j i", - "Ġoffer ed", - "ĠE arth", - "ĠJ on", - "Ġv en", - "a is", - "Ġdel iver", - "ph ia", - "ĠCol or", - "Ġm erg", - "er b", - "Ġhe avy", - "ĠB oy", - "ĠTown ship", - "ĠT ay", - "ous ly", - "ĠT od", - "es ota", - "Ġexecut ive", - "Ġon line", - "ed d", - "9 7", - "Ġs pl", - "Ġpre vent", - "ĠJe ff", - "ĠBo oks", - "Ġm arriage", - "Ġmean ing", - "ĠPre mier", - "angu ages", - "A r", - "Ġad j", - "/ /", - "Ġt able", - "enn es", - "ĠL es", - "ĠRou te", - "Ġnewsp aper", - "ĠN ether", - "ĠM ir", - "ĠMinist ry", - "Ġsepar ate", - "Ġs ociety", - "Ġd yn", - "vers e", - "Ġcons ists", - "ound s", - "ell ig", - "ĠS em", - "ĠD ist", - "Ġfif th", - "c i", - "ion e", - "ĠNot able", - "per or", - "ĠEliz abeth", - "ou ra", - "Ġb ridge", - "ĠJ es", - "ĠB ell", - "Ġpe ak", - "ĠE st", - "ic ted", - "ĠAnt on", - "I S", - "Ġto day", - "ĠMinn esota", - "ro vers", - "Ġsuc ceed", - "Ġ ess", - "ĠB ol", - "adel phia", - "Ġexper ience", - "ĠBase ball", - "ran e", - "Ġf ail", - "Ġserv e", - "f it", - "ĠP ubl", - "Ġcond itions", - "Ġvari ety", - "ĠJust ice", - "Ġcomp l", - "Ġb rief", - "it ude", - "Ġf oot", - "h y", - "ĠTor onto", - "Ġlab el", - "Ġtransfer red", - "k er", - "u ated", - "3 4", - "Ġtem per", - "ess ion", - "Ġcandid ate", - "Ġb order", - "m as", - "Ġs ource", - "ĠH uman", - "ron ic", - "ic ine", - "ĠOnt ario", - "Ġhousehold s", - "res p", - "Ġpart n", - "ran ce", - "Ġmain ly", - "Ġmov ie", - "al og", - "ĠSqu ad", - "ĠSup reme", - "Ġalong side", - "ĠH ind", - "ĠA ut", - "z y", - "ĠM ike", - "Ġdes pite", - ": //", - "ĠCh ap", - "Ġsc ulpt", - "Ġrequ ire", - "ĠL em", - "in ct", - "Ġal ways", - "ĠS om", - "a ult", - "ĠReg ion", - "ĠB ad", - "ĠB orn", - "ĠL ew", - "ĠL ight", - "ĠN ations", - "ĠT ok", - "ĠB a", - "ĠSong s", - "ric s", - "Ġpart ies", - "we ight", - "e v", - "Ġ194 9", - "Ġ195 4", - "u ing", - "Ġoper ation", - "Ġiss ued", - "Ġdou ble", - "ic ks", - "ĠPro gram", - "Ġ( ,", - "ĠI d", - "an th", - "ĠW el", - "attal ion", - "Ġpo or", - "b it", - "n es", - "3 1", - "ĠAn other", - "Ġext ended", - "sec ut", - "Ġb r", - "Ġdem on", - "ort heast", - "Ġme chan", - "ĠAn th", - "Ġpl ans", - "Ġf ace", - "ĠD un", - "Ġprov ides", - "ĠC E", - "ĠA ff", - "Ġsold iers", - "Ġm akes", - "Ġart icle", - "Ġturn ed", - "Ġinflu ence", - "R A", - "Ġ8 0", - "Ġdef eat", - "Ġrespons ible", - "Ġsil ver", - "bour ne", - "Ġd one", - "Ġro w", - "Ġj un", - "Ġs n", - "ĠHar ris", - "Ġ195 3", - "ĠA h", - "Ġarr ived", - "ra ine", - "ĠStep hen", - "er land", - "ill ed", - "Ġfeat uring", - "ĠB rad", - "Ġh ar", - "ĠMex ican", - "Ġdiffic ult", - "ĠPhil adelphia", - "w orth", - "ĠSt adium", - "Ġr ugby", - "che stra", - "os a", - "Ġst ories", - "Ġnear by", - "8 5", - "Ġm aster", - "Ġspe ed", - "ons in", - "Ġun ivers", - "Ġex cept", - "Ġa thlet", - "pt on", - "ĠSt at", - "ĠAir port", - "ĠA v", - "Ġcap ac", - "ĠCh art", - "l ers", - "Ġc orn", - "Ġhon or", - "ĠPak istan", - "om ot", - "isc onsin", - "ĠT ai", - "av en", - "ri f", - "writ er", - "b ass", - "ĠSant a", - "ĠNether lands", - "Ġparticip ated", - "Ġo il", - "ag on", - "Ġres idents", - "at ively", - "ĠC rit", - "Ġ7 0", - "Ġs aying", - "m ission", - "Ġwinn ers", - "av a", - "Ġmanag ed", - "Ġst ay", - "Ġf ellow", - "e ction", - "Ġadminist rative", - "ĠK ir", - "ĠD am", - "l ight", - "ob ile", - "Ġelect ric", - "p on", - "Ġorig in", - "b a", - "Ġcon stitu", - "ĠMed ia", - "Ġdiscover ed", - "Ġm ight", - "um ed", - "und red", - "Ġcover ed", - "rop ical", - "ĠRev olution", - "ĠProfess or", - "ĠBr ig", - "Ġren amed", - "Ġs urn", - "n s", - "or g", - "ĠInd ones", - "Ġback ground", - "Ġmunicip al", - "8 6", - "ĠW isconsin", - "Ġlik ely", - "ĠH o", - "Ġcont ra", - "d is", - "ĠCh ris", - "Ġin h", - "ĠA venue", - "Ġrec ent", - "ĠGu ard", - "Ġmusic ians", - "ĠPe ak", - "ĠR ome", - "Ġ195 1", - "Ġpar ish", - "4 4", - "Ġele ments", - "ĠC ub", - "Ġto ld", - "ig en", - "ran ge", - "qu arters", - "ac hel", - "Ġv an", - "an cy", - "Ġas ked", - "Ġg un", - "Ġ +", - "igh ter", - "Ġconstru cted", - "Ġcon fl", - "ĠPr im", - "Ġproble ms", - "ĠTechn ology", - "ĠK im", - "Ġ ult", - "Ġfinal ly", - "ow a", - "7 6", - "ĠS us", - "Ġhe art", - "ĠS her", - "Ġle ave", - "Ġo ur", - "oc ks", - "est abl", - "Ġn ature", - "emet ery", - "Ġneigh bor", - "ir med", - "ĠP ers", - "ke e", - "Ġpro gress", - "Ġprodu cts", - "ĠMus lim", - "ĠCamb ridge", - "ĠL i", - "Ġth r", - "Ġp ick", - "ctor al", - "we gian", - "Ġhe re", - "or ation", - "ĠInd ust", - "ot o", - "Ġimp act", - "Ġnear ly", - "ĠFore st", - "Ġdr ug", - "Ġp aper", - "ĠDu ke", - "ĠB ishop", - "Ġc ause", - "5 5", - "Ġp age", - "Ġen ough", - "Ġp ath", - "g ing", - "Ġw anted", - "ĠL ady", - "Ġsub s", - "m et", - "Ġde ad", - "am ber", - "Ġmedal ists", - "w ick", - "ĠSl ov", - "per ial", - "ĠLeg isl", - "r im", - "Ġreve aled", - "ap ed", - "Ġarchite cture", - "ĠEx p", - "ĠP u", - "Ġra ces", - "ric t", - "ĠC a", - "Ġne cess", - "Ġch ampion", - "Ġsec urity", - "n ic", - "s s", - "ĠCommun ity", - "ist ance", - "Ġdirect ly", - "ens ity", - "Ġsol o", - "ĠSt r", - "g et", - "Ġv oice", - "ĠWil son", - "3 2", - "Ġp it", - "epend ence", - "ins on", - "ĠPro ject", - "Ġadd ress", - "Ġsus p", - "ĠS ab", - "ĠP ower", - "orn ing", - "ĠAdm inist", - "Ġl ives", - "Ġan cient", - "Ġlead ers", - "Ġ193 6", - "Ġminist er", - "ĠCorpor ation", - "Ġoffic ially", - "Ġincre asing", - "Ġcy cl", - "Ġproject s", - "ĠCol on", - "ĠMed ical", - "ĠMar g", - "L e", - "l iving", - "Ġdis play", - "Ġprim arily", - "Ġr ural", - "ad ing", - "ĠBar b", - "Ġadminist ration", - "en ge", - "9 4", - "van ced", - "ou d", - "Ġcondu cted", - "Ġinit i", - "Ġfriend s", - "Ġlevel s", - "ĠH ay", - "ang a", - "roll ed", - "Ġpos itive", - "en ing", - "Ġs port", - "Ġmount ain", - "ens is", - "e cted", - "ĠD ar", - "ĠNor wegian", - "Ġc ard", - "ĠSwed en", - "S S", - "ĠF air", - "Ġch ap", - "ĠI ra", - "in ity", - "Ġl y", - "i at", - "ĠM oh", - "ĠF ire", - "ĠL t", - "Ġinit ial", - "yd ro", - "ĠV ideo", - "ĠSh ort", - "ul ly", - "Ġacadem ic", - "ĠIndian a", - "ĠGold en", - "uc ky", - "Ġp an", - "ĠF le", - "Ġ9 0", - "e en", - "Ġp p", - "ĠMount ain", - "ĠW inn", - "Ġf irm", - "ĠM un", - "ak i", - "Ġch annel", - "Ġdis p", - "ĠBibl iography", - "Ġs ources", - "Ġrepl ace", - "bo ok", - "ĠWin ter", - "Ġwho le", - "ĠAr thur", - "Ġlist ing", - "Ġwork ers", - "Ġ193 8", - "ĠSc iences", - "Ġlet ter", - "cript ion", - "Ġnum bers", - "ĠR ad", - "ribut ed", - "ĠN iger", - "Ġconsid er", - "ĠAl f", - "ĠPl ace", - "Ġm ic", - "Ġval ue", - "ĠDes ign", - "ĠRe view", - "ĠB udd", - "Ġde ep", - "ĠS u", - "L A", - "Ġlaw s", - "ur ches", - "ĠH u", - "em y", - "ed om", - "ĠK ansas", - "ant a", - "ĠAl so", - "Ġliter ature", - "Ġwhe ther", - "Ġremov ed", - "th ing", - "ĠL ive", - "Ġ19 18", - "g al", - "he im", - "Ġs al", - "ĠMar ia", - "Ġwith d", - "A l", - "Ġded icated", - "el d", - "i est", - "ĠGe ography", - "ĠCap tain", - "ĠU s", - "port un", - "ert o", - "ĠDe p", - "Ġsy n", - "Ġg rew", - "ony m", - "Ġd omin", - "Ġw ords", - "ĠBar on", - "F F", - "Ġplann ed", - "ĠPopul ated", - "ĠPolit ical", - "r ical", - "Ġst ars", - "ĠJun ior", - "ĠRes ults", - "7 8", - "Ġnot able", - "Ġeffect s", - "ĠUS A", - "Ġsh are", - "je cted", - "ĠU t", - "Ġk ind", - "it ter", - "e z", - "ic ed", - "Ġr ule", - "ĠMiss ouri", - "p resent", - "Ġd ark", - "E C", - "Ġcomp uter", - "Ġp iano", - "Ġorder ed", - "ĠTay lor", - "Ġreg ist", - "Ġsettle ment", - "ath an", - "ĠM aster", - "resp ond", - "ĠH an", - "Ġprom inent", - "ik a", - "M A", - "Ġsp read", - "ĠR ugby", - "Ġcontin ue", - "ĠB ridge", - "is hes", - "ĠP it", - "ĠColor ado", - "reg on", - "y al", - "Ġrec over", - "ab les", - "rest ling", - "Ġref le", - "ĠFranc is", - "Ġun s", - "res h", - "se x", - "ell er", - "ĠE P", - "ag ing", - "Ġv ac", - "O S", - "Ġ3 4", - "Ġvot es", - "for ce", - "Ġsc ene", - "Ġfollow s", - "Ġwe ap", - "Ġdire ction", - "tern et", - "il ton", - "6 6", - "g reg", - "ĠSte ve", - "ĠR em", - "ist ed", - "Ġmix ed", - "Ġto uch", - "Ġb ranch", - "Ġhost ed", - "Ġext ra", - "ĠCon ne", - "Ġd igital", - "Ġg as", - "Ġre form", - "Ġl anguages", - "ĠW alk", - "Ġg reen", - "Ġart icles", - "Ġrul es", - "Ġpot ential", - "Ġ193 7", - "Ġim plement", - "Ġre ason", - "hen s", - "Ġint ended", - "Ġp urs", - "Ġill ust", - "ĠStud ies", - "Ġcons erv", - "en es", - "g n", - "hem at", - "Ġn ation", - "Ġan g", - "z ona", - "enn a", - "ĠRepresent atives", - "Ġhistor ic", - "Ġ era", - "3 9", - "ĠCast le", - "ĠC irc", - "y ard", - "ĠL ind", - "ĠE arl", - "Ġtri al", - "ul ated", - "Ġdiv ided", - "ĠG ree", - "Ġcapac ity", - "Ġide a", - "ĠM ember", - "Ġ ut", - "ĠN az", - "g rad", - "Ġcol or", - "Ġfor ward", - "ropol itan", - "Ġt al", - "Ġtit led", - "ograph ic", - "n ce", - "Ġrespect ively", - "Ġfl oor", - "Ġdestroy ed", - "Ġtit les", - "Ġtreat ment", - "Ġs oc", - "ĠO regon", - "ol es", - "ĠJ os", - "Ġass igned", - "ĠK al", - "ĠMar sh", - "Ġengine er", - "ĠK el", - "Ġ6 4", - "20 10", - "it led", - "ĠF e", - "Ġtown s", - "7 7", - "g g", - "ill ery", - "ur d", - "ĠTur key", - "ĠWar s", - "ĠMal ays", - "ĠP ier", - "Ġin side", - "Ġp arliament", - "or al", - "ap ore", - "ĠFred er", - "ĠH al", - "ĠR om", - "ly n", - "k h", - "ĠZ h", - "Ġag ric", - "ix ed", - "% )", - "Ġbas is", - "Ġd ance", - "Ġactiv ity", - "6 5", - "Ġsem i", - "Ġnov els", - "Ġre pe", - "and on", - "Ġcompos er", - "Ġbeh av", - "200 7", - "Ġun known", - "Ġreview s", - "Ġsit es", - "ĠE th", - "Ġ. ..", - "ĠBrazil ian", - "ĠComm and", - "Ġc ounter", - "re al", - "c ow", - "iv ity", - "Ġgrow th", - "b ec", - "Ġcle ar", - "Ġst reet", - "ĠDav is", - "Ġcont rovers", - "Ġmet al", - "ĠCon f", - "Ġfem ales", - "ĠP ass", - "b u", - "M S", - "Ġeffort s", - "Ġpurch ased", - "Ġp al", - "Ġpl ants", - "Ġbecom es", - "ennes see", - "b ell", - "Ġmov ing", - "Ġp et", - "Ġup per", - "ĠBro ok", - "ĠCon c", - "ĠAtl antic", - "ear s", - "Ġcont est", - "Ġprodu ce", - "iz es", - "ĠCount ry", - "Ġfe el", - "ĠSt and", - "ast y", - "ĠT al", - "ĠBe ach", - "ĠC re", - "ĠB all", - "Ġfac ilities", - "Ġl ies", - "ĠAri zona", - "a ud", - "ĠG reg", - "un ct", - "em an", - "Ġquest ion", - "ĠPhilipp ines", - "Ġcer em", - "ĠT a", - "ian t", - "it o", - "200 9", - "ĠN ic", - "ad ed", - "Ġtyp es", - "Ġequip ment", - "ĠFore ign", - "Ġcapt ured", - "I A", - "ĠF ree", - "Ġprodu ct", - "f ort", - "Ġsmall er", - "Ġatt end", - "est ic", - "Ġquick ly", - "Ġst ore", - "Ġy et", - "ĠK r", - "b ro", - "w ater", - "Ġhigh ly", - "200 0", - "e k", - "Ġle aves", - "ĠSe ver", - "Ġcont act", - "Ġcitiz ens", - "Ġ5 00", - "ĠS on", - "ar p", - "ound ed", - "Ġform at", - "b les", - "Ġdocument ary", - "Ġ4 4", - "Ġest ate", - "ast ic", - "st yle", - "ĠT ennessee", - "Ġimmedi ately", - "Ġ( ;", - "ĠLe on", - "ren ce", - "Ġorgan ized", - "if orm", - "Ġaccept ed", - "Ġs umm", - "ĠMar c", - "Ġg re", - "b ed", - "ed ia", - "k in", - "ipl om", - "w atch", - "Ġop portun", - "ĠNor way", - "j an", - "Ġcon ver", - "ĠM as", - "a ug", - "20 11", - "ef e", - "ĠS ri", - "Ġm ax", - "Ġown er", - "ul ed", - "Ġcon ference", - "Ġfl ight", - "Ġr at", - "ĠC as", - "ian g", - "s ky", - "ur er", - "Ġ193 5", - "ĠN etwork", - "Ġ19 19", - "Ġphys ical", - "Ġfav or", - "Ġfac ulty", - "Ġro les", - "200 6", - "g ers", - "o is", - "200 8", - "Ġst ra", - "Ġsy mb", - "Ġaut om", - "Ġb ronze", - "er c", - "Ġdecl ared", - "ĠMary land", - "amb ig", - "Ġconf irmed", - "Ġsoft ware", - "se y", - "am i", - "ĠC ra", - "ĠS av", - "Ġmot or", - "Ġte acher", - "Ġchar ge", - "Ġre ach", - "ol n", - "Ġcommon ly", - "ĠUk raine", - "Ġpos itions", - "ann a", - "Ġaff ili", - "Ġg overnor", - "Ġ19 14", - "Ġhous ing", - "Ġoper ating", - "ĠHigh way", - "Ġv s", - "ĠO d", - "Ġ3 3", - "eat her", - "ĠB at", - "ĠBe fore", - "Ġprogram ming", - "Ġper man", - "Ġbe at", - "im al", - "Ġh tt", - "Ġstre ng", - "ĠIra q", - "U n", - "ĠS ources", - "Ġele v", - "am in", - "ce st", - "Ġcomp ared", - "r ate", - "ĠFor mer", - "Ġcom es", - "h at", - "ĠBack ground", - "ĠSing apore", - "Ġterrit ory", - "ĠFed eration", - "are t", - "Ġab ility", - "ĠMod ern", - "Ġagre ement", - "Ġd istricts", - "b s", - "Ġcom ment", - "Ġtarg et", - "ĠK l", - "CA A", - "Ġst one", - "Ġ19 10", - "ĠM emorial", - "Ġfound er", - "ĠR oss", - "ĠL iter", - "Ġw a", - "Ġp op", - "ĠDe c", - "Ġsw im", - "ellig ence", - "Ġ19 17", - "Ġg iving", - "ag a", - "ĠD or", - "Ġagre ed", - "ĠF ox", - "Ġatt ention", - "ĠCh ile", - "Ġmod els", - "ar c", - "Ġappro ach", - "Ġengine ering", - "5 8", - "Ġn ucle", - "9 3", - "inc ial", - "vent h", - "ĠH or", - "Ġcamp us", - "ĠO cean", - "ĠS ound", - "S P", - "Ġpe ace", - "ĠE ach", - "m ad", - "west ern", - "igh th", - "du ce", - "Ġlead ership", - "Ġinstitut ions", - "Ġw alk", - "Ġatt ra", - "Ġc ars", - "od ies", - "S C", - "ap h", - "Ġl if", - "Ġap art", - "ript ion", - "Ġ192 8", - "Ġy ards", - "Ġest imated", - "Ġel im", - "z o", - "ĠB ru", - "igr ants", - "ol i", - "Ġse ats", - "Ġth ink", - "Ġoccur red", - "Ġbl ood", - "ĠR en", - "un te", - "Ġw ing", - "ĠW at", - "ambig uation", - "op her", - "ĠD iv", - "ĠEnter tain", - "ĠH art", - "ĠS port", - "Ġg ained", - "ad er", - "200 5", - "Ġneed ed", - "ot i", - "Ġch airman", - "Ġmed ian", - "ĠPhil ip", - "Ġ x", - "Ġact ing", - "ĠF a", - "ĠLew is", - "Ġsuffer ed", - "Ġcon clud", - "Ġdise ase", - "Ġfig ure", - "Ġadop ted", - "Ġrec on", - "Ġb ad", - "ĠB os", - "ĠMel bourne", - "Ġfl ag", - "Ġ192 9", - "Ġs ens", - "Ġcr ime", - "in us", - "Ġc oin", - "ed er", - "we alth", - "Ġdist ribution", - "Ġserv es", - "ĠT s", - "5 00", - "ĠMos cow", - "ĠT en", - "Ġst ream", - "Ġp oll", - "Ġent er", - "it ness", - "Ġf ell", - "ul s", - "Ġan alysis", - "H L", - "ĠPro duction", - "rain ian", - "Ġcomb ined", - "im inal", - "l ah", - "Ġcomm ittee", - "Ġjournal ist", - "' ,", - "s pe", - "Ġ3 8", - "ĠT est", - "ans ion", - "Ġcont ent", - "Ġcor respond", - "Ġj oint", - "T A", - "ĠAb b", - "ag h", - "or ter", - "ĠSe ason", - "Ġqu ality", - "Ġcan cer", - "Ġv ess", - "Ġpre c", - "20 12", - "200 4", - "ing ham", - "Ġ193 3", - "Ġpolit ics", - "ĠSt ock", - "y es", - "Ġres ident", - "Ġ193 4", - "ĠCro at", - "or ph", - "anc ing", - "Ġra re", - "ĠSpr ing", - "S h", - "ost er", - "ĠAb d", - "Ġcont emporary", - "ĠEngine ering", - "Ġproble m", - "ugu ese", - "ol id", - "ast ers", - "Ġ urban", - "Ġperforman ces", - "Ġtyp ically", - "A n", - "Ġh abit", - "y ond", - "al o", - "ĠR ound", - "p et", - "Ġret ire", - "pl ace", - "Ġmention ed", - "eth ing", - "Ġofficial s", - "l aw", - "Ġnomin ated", - "ĠHe art", - "Ġb ig", - "Ġindust rial", - "9 1", - "Ġcom ing", - "Ġun c", - "ib ly", - "ĠH ard", - "ash ion", - "ĠB on", - "Ġh undred", - "Ġf iction", - "id i", - "w orks", - "Ġpres ence", - "Ġl abor", - "ov i", - "ĠTurk ish", - "Ġbl ue", - "ĠQueens land", - "ĠKh an", - "ĠV o", - "p ass", - "Ġeduc ated", - "ant e", - "9 2", - "it i", - "w ing", - "Ġex c", - "g ar", - "Ġh or", - "20 13", - "ir al", - "ĠJew s", - "ĠH ou", - "ol ved", - "v ard", - "Ġf ast", - "l i", - "id ers", - "is a", - "ĠAdd ition", - "V ID", - "Ġpr in", - "il ing", - "ic ian", - "ĠB alt", - "Ġcol umn", - "hed ral", - "Ġco al", - "g i", - "Ġlarg ely", - "Ġresult ed", - "dis ambiguation", - "Ġrecogn ized", - "osoph y", - "ot ed", - "Ġprob ably", - "ĠI owa", - "ĠAust ria", - "m outh", - "Ġe c", - "Ġ ir", - "ak s", - "ĠG il", - "ĠAr k", - "ĠCommon wealth", - "for mer", - "Ġab andon", - "Ġ192 4", - "Ġb oy", - "Ġdam age", - "d a", - "Ġres erv", - "ĠR ang", - "p son", - "Ġm iles", - "Ġcon cent", - "ĠKent ucky", - "Ġh op", - "ĠBro ther", - "os en", - "ĠO t", - "Ġbur ied", - "ĠE c", - "Ġc ab", - "u ate", - "Ġpaint ing", - "Ġschol ar", - "ĠD own", - "ĠB ah", - "v o", - "ĠC ab", - "Ġc am", - "ĠSports people", - "Ġwid ely", - "act er", - "Ġsc oring", - "G B", - "Ġexp anded", - "5 6", - "Ġc ode", - "Ġ19 00", - "Ġvill ages", - "z h", - "Ġar ts", - "Ġex pected", - "Ġrank ed", - "ol is", - "Ġ193 2", - "Ġ3 7", - "Ġsex ual", - "ĠEntertain ment", - "Ġclass ical", - "Ġsports people", - "Ġb ra", - "ĠSquad ron", - "ĠK itt", - "Ġnew ly", - "Ġrec omm", - "Ġident ified", - "ĠHar ry", - "Ġm m", - "Ġcrit ical", - "Ġf elt", - "Ġgr anted", - "Ġm ill", - "Ġdef end", - "ĠAre a", - "oc ese", - "iqu es", - "ar o", - "ĠC ape", - "Ġp ict", - "u i", - "form ed", - "ain e", - "cl es", - "Ġse arch", - "ĠWal ter", - "Ġsecond ary", - "ĠBel g", - "Ġ rom", - "Ġf ish", - "Ġad apt", - "Ġsqu are", - "ĠH ur", - "ĠManag ement", - "ĠT ony", - "ĠD anish", - "ĠG i", - "Ġcou ple", - "Ġdr ums", - "Ġstar ring", - "Ġal le", - "m itted", - "ro g", - "us ion", - "ĠL ike", - "Ġlos ing", - "Ġb illion", - "Ġwe ight", - "Ġconc ert", - "20 14", - "k es", - "se ason", - "ĠSw iss", - "l ast", - "Ġs ales", - "Ġt aught", - "t ing", - "il ation", - "Ġcre ation", - "Ġcond ition", - "Ġre duced", - "Ġm ess", - "ett ing", - "ĠViet nam", - "ĠN ick", - "Ġco aches", - "Ġdist ance", - "Ġthe atre", - "vi ation", - "Ġcomm ander", - "Ġpress ure", - "8 7", - "Ġresult ing", - "Ġw ild", - "Ġ192 7", - "Ġb al", - "Ġpre mier", - "or ship", - "Ġthere fore", - "Ġoff ers", - "ĠCO VID", - "0 5", - "ĠR on", - "itz erland", - "i ot", - "ĠInf antry", - "ĠProfess ional", - "ĠPort uguese", - "S T", - "Ġcap tain", - "200 3", - "ĠG ord", - "ĠRec ord", - "cl aim", - "ĠReg ional", - "Ġinstr ument", - "ĠS ix", - "Ġlo an", - "oc ated", - "ĠTh rough", - "ĠT an", - "Ġ19 12", - "p ur", - "Ġsp ons", - "4 1", - "ĠAm ong", - "Ġsec ret", - "20 15", - "ĠSim on", - "ĠUk rainian", - "ĠA st", - "ĠB eng", - "ĠSe le", - "Ġt im", - "ĠT reat", - "m es", - "Ġtw ice", - "Ġauthor ities", - "ĠAl b", - "ĠH and", - "Ġrec ently", - "al ing", - "Ġarrest ed", - "ĠF inn", - "Ġsurn ame", - "V D", - "Ġ193 1", - "4 2", - "ad s", - "Ġstr ugg", - "ict ional", - "orn ey", - "h o", - "ĠN ik", - "Ġyoung er", - "Ġform ation", - "p a", - "I C", - "ĠN CAA", - "Ġpre p", - "Ġinj ury", - "ord in", - "Ġbeg ins", - "ĠL abor", - "um es", - "ĠAr men", - "i pe", - "Ġformer ly", - "Ġ192 2", - "ĠBul g", - "Ġra cing", - "ym n", - "0 7", - "Ġatt acks", - "Ġg raph", - 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"ĠF l", - "aj or", - "Ġdes c", - "y l", - "ros s", - "Ġ1 3", - "Ġl ife", - "Ġare a", - "im es", - "ir d", - "Ġst art", - "ĠC al", - "ĠA f", - "Ġor gan", - "r is", - "duc ed", - "Ġop en", - "Ġf eat", - "are d", - "ĠSt ate", - "re t", - "f l", - "Ġg ame", - "ag es", - "Ġd if", - "v ent", - "res ident", - "Ġr un", - "k et", - "u es", - "Ġfilm s", - "l ed", - "ro p", - "Ġpro du", - "p art", - "Ġ1 1", - "ar m", - "et y", - "Ġm en", - "Ġ201 0", - "Ġcl ass", - "ograph y", - "Ġ2 1", - "y le", - "Ġex t", - "ap an", - "il t", - "eb ru", - "Ġs m", - "lev ision", - "ebru ary", - "Ġpubl ic", - "un g", - "ĠK ing", - "ĠI I", - "Ġst ate", - "Ġsy stem", - "ĠP ar", - "Ġl ong", - "Ġo b", - "ual ly", - "Ġd r", - "ar ch", - "ĠB ro", - "f ul", - "Ġf inal", - "Ġc areer", - "il it", - "n er", - "ĠH is", - "Ġs ame", - "ul ar", - "an c", - "a use", - "Ġcall ed", - "am b", - "vi ew", - "Ġfollow ing", - "ĠF ebruary", - "in c", - "z e", - "ov e", - "y n", - "Ġret urn", - "Ġf in", - "on y", - "Ġc ity", - "Ġw ill", - "iv ision", - "ĠEuro pe", - "ĠS w", - "a f", - "h ip", - "Ġch ild", - "r at", - "al es", - "ak ing", - "Ġsever al", - "Ġcomm un", - "ren ch", - "il ity", - "Ġw omen", - "re nt", - "oin t", - "ĠM ed", - "or ks", - "ĠJ apan", - "s p", - "an ge", - "ch n", - "ial ly", - "c om", - "c on", - "ure d", - "Ġl ist", - "Ġs uc", - "ĠGe or", - "p ed", - "Ġe arly", - "Ġa ir", - "ĠB ar", - "Ġcont in", - "Ġ '", - "Ġto wn", - "Ġcomp et", - "Ġcl ub", - "ĠE l", - "Ġm in", - "Ġres ult", - "h am", - "ib le", - "1 2", - "ĠA nd", - "ĠH ar", - "ĠH istory", - "is ed", - "al ly", - "Ġs ince", - "ic es", - "ain s", - "st er", - "19 9", - "ĠThe y", - "ĠP art", - "b o", - "r ing", - "Ġn ear", - "ang u", - "Ġn amed", - "Ġorig inal", - "end ed", - "u ed", - "ĠCh rist", - "at a", - "Ġhe ad", - "ĠA b", - "1 6", - "Ġb el", - "Ġdis c", - "Ġpl ace", - "ĠF rench", - "id ed", - "i ence", - "Ġ201 1", - "ĠRe p", - "Ġc ur", - "Ġbe gan", - "il le", - "Ġt it", - "Ġus e", - "iv al", - "an e", - "re en", - "Ġpro gram", - "ĠU S", - "Ġv ill", - "Ġm ember", - "Ġm embers", - "1 5", - "Ġp rom", - "Ġhe ld", - "Ġan y", - "Ġl and", - "ĠCom p", - "Ġb ased", - "ain t", - "ĠR es", - "ĠM c", - "Ġthe se", - "Ġcomp le", - "b le", - "Ġap p", - "m e", - "Ġsup port", - "oun c", - "ĠAf ric", - "al ity", - "Ġg overnment", - "r ight", - "Ġ200 8", - "ĠR uss", - "Ġm et", - "Ġ201 2", - "Ġw e", - "ĠR o", - "a ugh", - "Ġ19 0", - "ĠA ir", - "Ġestabl ished", - "i ous", - "Ġal ong", - "Ġe ff", - "t he", - "Ġ ,", - "ĠE ast", - "ĠCh ampionship", - "Ġdesc rib", - "T he", - "in ess", - "Ġen g", - "ition s", - "ĠC ollege", - "Ġp ass", - "ĠWill iam", - "ĠG en", - "an a", - "od e", - ". .", - "Ġd ist", - "pe ct", - "al th", - "ad em", - "Ġ200 9", - "Ġloc ated", - "ur g", - "u k", - "ĠThe re", - "at or", - "ical ly", - "ĠH er", - "or m", - "ac ed", - "Ġd id", - "Ġl aw", - "in o", - "Ġc ol", - "Ġo cc", - "Ġchar act", - "che s", - "f ord", - "ĠAr t", - "c ol", - "at s", - "i en", - "ubl ic", - "ĠP eople", - "Ġp os", - "Ġy ou", - "Ġ201 3", - "ond on", - "ĠN e", - "oci ation", - "ĠIt al", - "Ġ200 6", - "Ġ200 7", - "Ġh ouse", - "Ġe ach", - "t o", - "ĠH igh", - "ing ton", - "ore d", - "Ġ201 4", - "ro w", - "Ġ201 6", - "Ġserv ed", - "our t", - "ĠF ilm", - "Ġto ok", - "qu e", - "Ġs im", - "k y", - "Ġ X", - "1 4", - "ĠRe c", - "Ġb and", - "Ġt r", - "Ġst ation", - "Ġh ome", - "ĠD istrict", - "Ġb us", - "av ing", - "ĠS y", - "ĠIn ternational", - "Ġb orn", - "Ġg ames", - "Ġn ational", - "m ed", - "ly mp", - "i et", - "ĠA c", - "Ġin st", - "Ġ201 5", - "re w", - "er g", - "Ġpro fess", - "in ed", - "Ġ201 8", - "ight s", - "p s", - "Ġcomp any", - "Ġl ine", - "Ġp erson", - "1 3", - "ĠO lymp", - "Ġpopul ation", - "Ġm ajor", - "Ġ18 9", - "ac es", - "our n", - "Ġ20 20", - "ĠD av", - "ill ion", - "ĠL iving", - "ĠL ondon", - "Ġ201 7", - "ĠSe c", - "Ġs l", - "Ġb as", - "Ġj oin", - "Ġsm all", - "Ġle g", - "Ġloc al", - "ĠInd ian", - "ĠL a", - "ard s", - "Ġv ari", - "Ġrece ived", - "Ġde b", - "Ġev ent", - "Ġ2 5", - "Ġgen eral", - "Ġman ag", - "Ġpubl ished", - "Ġte levision", - "ĠC up", - "et t", - "Ġcent ury", - "ĠN ot", - "ilit ary", - "s ide", - "et er", - "Ġ3 0", - "at ure", - "Ġ201 9", - "Ġsing le", - "Ġbu ilt", - "ĠS up", - "Ġv i", - "ĠPh il", - "a ul", - "Ġd ue", - "Ġc ould", - "Ġv ers", - "ĠH owever", - "Ġ $", - "Ġap pro", - "ar ge", - "Ġw orld", - "Ġspec ies", - "ar a", - "Ġc olle", - "um n", - "Ġsuc cess", - "ie f", - "ounc il", - "Ġp o", - "v ers", - "Ġst r", - "in t", - "Ġa round", - "ord ing", - "if ied", - "ĠA ng", - "uth or", - "id es", - "at ely", - "om in", - "ĠG l", - "Ġo ld", - "Ġed uc", - "ĠT r", - "arri ed", - "ĠL ist", - "ĠN o", - "Ġt erm", - "is on", - "ro l", - "ĠC or", - "um mer", - "Ġa ge", - "ff ic", - "l ing", - "ĠT ra", - "ĠH ouse", - "Ġhe l", - "Ġal ign", - "Ġe p", - "ord s", - "e f", - "oc ial", - "ĠP ark", - "r ation", - "Ġp resent", - "ĠP re", - "Ġle ft", - "Ġl ast", - "Ġs ix", - "ĠE n", - "Ġh istory", - "Ġn ow", - "i od", - "a im", - "Ġs aid", - "ĠS an", - "Ġt y", - "Ġ200 0", - "Ġrep resent", - "re et", - "a us", - "id d", - "ra ft", - "t t", - "Ġd ied", - "Ġplay er", - "op h", - "Ġ 0", - "Ġre st", - "1 1", - "Ġc amp", - "iz ation", - "ĠD uring", - "Ġc ar", - "Ġl a", - "um b", - "angu age", - "Ġto p", - "ne y", - "Ġp ar", - "ĠB r", - "on es", - "Ġvill age", - "Ġwith in", - "ĠM ich", - "Ġd et", - "iv en", - "Ġst yle", - "Ġf ive", - "Ġ200 5", - "Ġt ri", - "Ġn orth", - "Ġsh ort", - "Ġ2 4", - "v an", - "ĠR oy", - "Ġor der", - "ide o", - "Ġ18 8", - "Ġd ay", - "in k", - "ĠD es", - "o ks", - "et her", - "u f", - "Ġdescrib ed", - "ak es", - "s c", - "ow s", - "ur ther", - "19 8", - "ent ly", - "Ġth ird", - "Ġbuild ing", - "al k", - "Ġinclud e", - "ĠR iver", - "Ġinclud ed", - "Ġp ost", - "um ent", - "Ġd own", - "ast er", - "if orn", - "ĠP er", - "Ġdif fer", - "d ay", - "he m", - "ĠA g", - "Ġchild ren", - "Ġre port", - "ur s", - "ĠEng land", - "c o", - "ĠCh ar", - "Ġ202 1", - "att le", - "Ġre f", - "vi ous", - "Ġre qu", - "ĠS ch", - "ĠA ct", - "n a", - "er a", - "feren ce", - "Ġbec ause", - "ke y", - "t ain", - "iforn ia", - "Ġad m", - "ĠB y", - "th ough", - "Ġann oun", - "Ġl arge", - "Ġcons id", - "iv ely", - "re g", - "ĠG ro", - "ĠM al", - "Ġs outh", - "g round", - "Ġs on", - "ĠAustral ia", - "Ġ200 4", - "ic o", - "Ġd em", - "rid ge", - "ri end", - "Ġd istrict", - "ĠCal ifornia", - "l er", - "col or", - "Ġst and", - "ĠP ort", - "ĠB ra", - "Ġm ark", - "ĠM on", - "os p", - ". ,", - "use um", - "ct ure", - "Ġar ch", - "Ġp ower", - "inn ing", - "Ġst at", - "Ġbo ok", - "uc k", - "od y", - "ĠY ou", - "ĠPart y", - "en cy", - "Ġl o", - "Ġdeath s", - "ri pt", - "Ġ202 2", - "Ġc rit", - "ad io", - "it er", - "part ment", - "land s", - "in ing", - "Ġw ar", - "con om", - "um an", - "Ġappe ar", - "Ġc or", - "ĠD em", - "Ġm ale", - "Ġl arg", - "k a", - "Ġis s", - "ĠR oman", - "re st", - "Ġ18 6", - "Ġj ust", - "ist er", - "Ġ2 2", - "Ġre pl", - "ĠB el", - "c er", - "al d", - "al f", - "Ġw ater", - "Ġserv ice", - "g ed", - "Ġper iod", - "Ġn on", - "Ġper form", - "Ġadd ition", - "n ess", - "Ġres p", - "v es", - "Ġk ill", - "am ent", - "oci ety", - "ĠA nt", - "Ġde p", - "ee k", - "Ġv is", - "he l", - "our s", - "e le", - "Ġre fer", - "ĠS m", - "a ff", - "er ing", - "ĠO ne", - "Ġmov ed", - "ĠA ward", - "en se", - "Ġc r", - "ĠE m", - "Ġdiffer ent", - "iz e", - "Ġcur rent", - "ĠAustral ian", - "Ġro und", - "Ġl ike", - "ot e", - "rib ut", - "5 0", - "ĠAr my", - "Ġ2 3", - "Ġinc re", - "om b", - "Ġm illion", - "Ġl ed", - "k i", - "l ine", - "ĠN or", - "p ar", - "Ġt rad", - "Ġbus iness", - "am a", - "ĠA cc", - "t al", - "av y", - "her n", - "ĠM inist", - "Ġan other", - "Ġth ose", - "o on", - "Ġh istor", - "ĠR ober", - "op s", - "o f", - "Ġsh ip", - "Ġ18 7", - "Ġe qu", - "Ġst ill", - "and er", - "Ġ if", - "Ġf ather", - "Ġ el", - "Ġf ield", - "Ġw est", - "ĠJ ames", - "Ġd el", - "ĠInd ia", - "Ġex per", - "Ġa uthor", - "i ber", - "ĠM or", - "ĠSt e", - "d e", - "ep end", - "Ġf ac", - "c hed", - "iv il", - "Ġact iv", - "Ġh and", - "Ġcomp os", - "ĠCh urch", - "ĠM usic", - "Ġbe st", - "ĠGen eral", - "ĠFran ce", - "Ġp ort", - "Ġk m", - "o x", - "Ġannoun ced", - "Ġin ternational", - "Ġdeb ut", - "stru ction", - "Ġtit le", - "Ġcount ry", - "d om", - "ĠQ u", - "Ġs old", - "Ġf em", - "ĠTh om", - "Ġw in", - "as es", - "Ġ200 3", - "v ille", - "Ġ( )", - "Ġestabl ish", - "ĠY ear", - "19 7", - "u el", - "Ġcharact er", - "Ġe ast", - "Ġpolit ic", - "ĠGeor ge", - "ĠD ivision", - "f ield", - "un icip", - "us h", - "Ġs ide", - "c ast", - "Ġp at", - "Ġd ra", - "b e", - "ĠRoy al", - "Ġc ult", - "ourn al", - "ĠA p", - "an ish", - "re ad", - "Ġn ov", - "Ġa v", - "g color", - "Ġpre vious", - "ĠM ount", - "g in", - "Ġm ake", - "ĠEurope an", - "Ġ very", - "ri es", - "a el", - "ĠQ ue", - "ĠP e", - "ort hern", - "Ġa ward", - "ĠCl ub", - "ĠCanad ian", - "Ġset t", - "ug g", - "ĠAc adem", - "Ġele ction", - "Ġpro ject", - "ip p", - "l in", - "le x", - "ĠP al", - "Ġam ong", - "m s", - "ap p", - "ab or", - "Ġw orks", - "ĠV al", - "ĠG r", - "Ġ2 6", - "ĠCanad a", - "Ġ200 2", - "ĠE le", - "i us", - "ĠR ich", - "Ġf r", - "al ign", - "Ġro le", - "g es", - "Ġpro duced", - "ĠW hen", - "w ork", - "ĠP aul", - "Ġf e", - "Ġm ag", - "pl oy", - "for man", - "Ġle vel", - "ĠB u", - "o ff", - "Ġof ten", - "ol ution", - "Ġa ff", - "Ġl ate", - "Ġs pe", - "Ġre ad", - "Ġw eb", - "a pe", - "ĠDav id", - "ĠC ouncil", - "Ġth ough", - "Ġinv ol", - "Ġre se", - "Ġb gcolor", - "ĠF ootball", - "Ġp e", - "Ġ199 0", - "it ar", - "st on", - "at ch", - "Ġwrit ten", - "Ġex pl", - "Ġ2 8", - "Ġ2 7", - "or ies", - "im ent", - "ĠL ou", - "Ġeng ine", - "Ġf ore", - "ĠH ol", - "Ġep is", - "ĠAss ociation", - "Ġ es", - "stit ute", - "Ġad v", - "b ack", - "Ġte chn", - "ac ks", - "Ġ200 1", - "ĠW ith", - "b an", - "ĠR ed", - "Ġstart ed", - "Ġev en", - "ĠD r", - "umn i", - "Ġyou ng", - "Ġp oss", - "Ġall ow", - "o le", - "em pt", - "Ġcl os", - "iv id", - "o e", - "ro te", - "Ġm arried", - "it or", - "Ġg rad", - "ĠR ail", - "v al", - "Ġc ame", - "Ġoffic ial", - "Ġin it", - "Ġc over", - "Ġim port", - "ĠP resident", - "Ġcre ated", - "ĠAmer ica", - "ou ther", - "Ġw ent", - "form ation", - "Ġg iven", - "Ġs ite", - "Ġto tal", - "ol ic", - "g y", - "ir c", - "ĠSt reet", - "al t", - "Ġst ru", - "Ġe very", - "ĠF irst", - "Ġt urn", - "outher n", - "Ġcommun ity", - "y a", - "ĠF rom", - "ĠS ing", - "er ation", - "w est", - "oin ted", - "ĠSt ud", - "3 0", - "Ġjoin ed", - "ra p", - "om et", - "Ġv al", - "Ġeff ect", - "ĠH istor", - "it te", - "ĠK h", - "Ġra il", - "ot s", - "Ġpolit ical", - "Ġch ang", - "Ġwork ed", - "Ġwh at", - "Ġp res", - "Ġcon c", - "i j", - "Ġvari ous", - "ir on", - "Ġf re", - "Ġdevelop ment", - "ag o", - "ber t", - "ĠS en", - "ree k", - "ĠT own", - "Ġcon f", - "pos ed", - "s ite", - "ĠT rans", - "b or", - "ir l", - "Ġpro cess", - "m a", - "Ġ1 00", - "Ġt w", - "Ġv ideo", - "e al", - "Ġprofess ional", - "Ġele ct", - "her s", - "Ġf act", - "Ġm ilitary", - "ĠS l", - "ac hed", - "' t", - "ĠUn ion", - "Ġvers ion", - "at ic", - "olog ical", - "at ri", - "ĠGerman y", - "op e", - "re am", - "ĠGro up", - "Ġm uch", - "s elf", - "Ġpro te", - "Ġprodu ction", - "Ġh aving", - "Ġne xt", - "Ġcomm on", - "Ġb re", - "Ġcl aim", - "Ġbec ome", - "Ġspec ial", - "Ġg r", - "h old", - "ĠM art", - "Ġs ent", - "ĠH en", - "Ġm iss", - "Ġh ost", - "ĠB er", - "og n", - "Ġs w", - "ĠJ e", - "h ib", - "ĠV ir", - "ĠM ary", - "ĠM ag", - "Ġ198 0", - "ĠS er", - "ĠRo ad", - "o or", - "Ġus ing", - "ĠW e", - "Ġp ri", - "ĠBl ack", - "ĠAr ch", - "Ġ [", - "Ġdire ct", - "Ġreturn ed", - "ĠMe x", - "19 6", - "Ġw rote", - "Ġint ro", - "ĠP ri", - "Ġs it", - "Ġp resident", - "Ġpr im", - "m en", - "Ġt em", - "ĠItal ian", - "ĠM y", - "ĠJapan ese", - "Ġ199 9", - "est s", - "Ġ2 9", - "Ġg l", - "ĠAfric an", - "in ation", - "ĠT ur", - "Ġpos ition", - "Ġmat ch", - "h a", - "Ġan t", - "ict ion", - "ĠL aw", - "Ġdire ctor", - "i ography", - "m ing", - "ĠH all", - "oin ts", - "Ġteam s", - "Ġt ake", - "ĠW omen", - "Ġm ult", - "Ġch urch", - "Ġsong s", - "fl u", - "ĠThe se", - "Ġopen ed", - "Ġper forman", - "B C", - "ct s", - "il ar", - "ĠComm un", - "ĠW ash", - "ĠPro v", - "ivid ual", - "Ġf ew", - "Ġev ents", - "id a", - "Ġf un", - "ell ow", - "ĠG ames", - "Ġbe h", - "se qu", - "ĠS am", - "ĠRober t", - "arl iam", - "Ġv ol", - "ak en", - "ib r", - "itt le", - "ĠRuss ian", - "ĠLe g", - "an i", - "ent ion", - "e ad", - "ĠCh ina", - "oc rat", - "u le", - "ĠB est", - "l o", - "arliam ent", - "ar ian", - "g er", - "C A", - "ĠSc ott", - "2 1", - "Ġt imes", - "t ra", - "Ġst ory", - "Ġs ol", - "ĠO ther", - "ec ut", - "Ġpart icip", - "Ġw ay", - "Ġv oc", - "Ġfootball ers", - "y ing", - "ri an", - "Ġalbum s", - "ĠAcc ording", - "augh ter", - "Ġbe g", - "Ġh ig", - "ĠM ad", - "est ed", - "ĠC ap", - "ĠPl ay", - "un t", - "Ġf riend", - "Ġ199 8", - "ĠWash ington", - "it z", - "ĠC ourt", - "n ing", - "ic le", - "Ġatt ack", - "ket ball", - "ĠM iss", - "Ġro ad", - "stit ut", - "our ces", - "itte e", - "il es", - "an ies", - "Ġim p", - "Ġadm inist", - "ĠC ast", - "Ġpopul ar", - "Ġbro ther", - "Ġne ed", - "Ġwith out", - "ĠComp any", - "is l", - "ĠC ont", - "ĠThom as", - "at ter", - "Ġserv ices", - "ra g", - "an ces", - "a ur", - "Ġreg ion", - "end ing", - "Ġp ract", - "ĠS erv", - "Ġstud ents", - "idd le", - "Ġs k", - "Ġs ocial", - "od es", - "ĠC ath", - "Ġt er", - "ĠM en", - "ers hip", - "ĠS al", - "e x", - "wo od", - "ĠK n", - "a ign", - "Ġh alf", - "Ġbro ad", - "y ear", - "2 2", - "Ġg reat", - "Ġf ull", - "r ated", - "Ġcontin ued", - "Ġ197 0", - "Ġl ost", - "ĠA wards", - "ĠKing dom", - "ain ing", - "ĠCent ral", - "ĠS ociety", - "ac y", - "c raft", - "Ġco ach", - "y m", - "Ġm id", - "ĠM ont", - "ĠG rand", - "Ġal umni", - "ĠO p", - "us ed", - "Ġeduc ation", - "ra b", - "Ġrese arch", - "are nt", - "Ġ199 6", - "Ġatt empt", - "Ġs qu", - "Ġd ays", - "is ing", - "Ġh owever", - "ĠI r", - "b urg", - "Ġse e", - "ĠCh in", - "ens us", - "ĠRec ords", - "Ġprom ot", - "ap er", - "ĠM useum", - "4 0", - "Ġcomple ted", - "on a", - "Ġpro duc", - "Ġele cted", - "Ġapp ointed", - "ĠA lex", - "at ors", - "ĠChar les", - "ill s", - "ĠFl or", - "Ġcom b", - "ĠIs land", - "Ġinv est", - "Ġind ust", - "Ġin f", - "Ġ ident", - "est ival", - "in i", - "ĠD on", - "cent er", - "Ġpart y", - "ĠM et", - "Ġfound ed", - "Ġcont rol", - "Ġdire cted", - "ĠE duc", - "ĠCent er", - "Ġrecord ed", - "ĠTe x", - "Ġl im", - "Ġa ver", - "ific ation", - "u it", - "Ġr ight", - "ĠI m", - "r d", - "Ġ199 7", - "Ġsign ed", - "ĠE arly", - "Ġw ife", - "Ġe conom", - "ĠS ummer", - "amp le", - "l ess", - "Ġp oints", - "ber g", - "Ġpro per", - "Ġle ague", - "w h", - "as ons", - "Ġgroup s", - "Ġare as", - "2 3", - "Ġre view", - "Ġ18 5", - "Ġ /", - "ĠDe partment", - "Ġb ase", - "n el", - "Ġconsid ered", - "ish ing", - "ĠS im", - "Ġcon ne", - "Ġra ce", - "r ay", - "ĠAng el", - "ĠWest ern", - "Ġ202 3", - "ĠO ffic", - "Ġp oint", - "ĠJ ew", - "pl ay", - "Ġh on", - "ĠC he", - "Ġpart ic", - "Ġse le", - "at ural", - "ĠFran c", - "Ġre n", - "Ġf ind", - "Ġf urther", - "ĠV ict", - "j e", - "Ġm ar", - "= #", - "ĠT o", - "Ġc oll", - "ĠT V", - "Ġrel ations", - "ĠIn stitute", - "Ġc aus", - "ar ies", - "Ġv ict", - "ĠG old", - "ĠAcadem y", - "ĠLou is", - "ell s", - "Ġsim ilar", - "ĠOlymp ics", - "il i", - "Ġde g", - "ĠB ay", - "th let", - "Ġh old", - "ĠMich ael", - "Ġind ividual", - "way s", - "Ġto g", - "Ġre al", - "Ġpr iv", - "ĠG reat", - "Ġvi ew", - "ĠM ac", - "Ġweb site", - "Ġ z", - "id ence", - "ĠZ eal", - "Ġt en", - "ĠP ress", - "Ġtog ether", - "Ġ199 5", - "u ation", - "um p", - "Ġrele ase", - "ra in", - "ĠP at", - "ĠC ong", - "ĠZeal and", - "Ġ199 2", - "ric k", - "Ġin flu", - "ot a", - "ĠVir gin", - "ĠV ol", - "Ġreport ed", - "ĠChrist ian", - "Ġc ase", - "Ġappe ared", - "ĠM us", - "ĠRep ublic", - "ĠM er", - "ĠU K", - "et work", - "Ġ199 4", - "| |", - "ar ter", - "ar th", - "Ġs ports", - "Ġoff ice", - "ĠSp anish", - "ĠChin ese", - "Ġm other", - "ou l", - "ed eral", - "ĠAfric a", - "Ġtra ck", - "ĠK ore", - "m ar", - "Ġw eek", - "2 5", - "Ġ3 1", - "c ks", - "ĠT om", - "Ġ5 0", - "Ġm y", - "Ġk e", - "i que", - "Ġme et", - "Ġnov el", - "Ġcon d", - "Ġbir th", - "Ġdevelop ed", - "en c", - "Ġform ed", - "Ġin s", - "Ġh ous", - "it ive", - "y d", - "ak er", - "Ġ196 0", - "it ing", - "Ġmed al", - "ĠB ur", - "Ġhel p", - "Ġa ut", - "ĠCar ol", - "Ġgu itar", - "ad es", - "Ġla un", - "Ġass ist", - "ĠB en", - "Ġph ot", - "ĠIn ter", - "ĠT er", - "ul a", - "k n", - "ĠD an", - "ap t", - "Ġwork ing", - "e h", - "du ction", - "Ġd oc", - "Ġar r", - "Ġm aking", - "Ġimport ant", - "Ġto urn", - "c le", - "ĠG reen", - "i ers", - "Ġarch ite", - "ĠH am", - "ĠTex as", - "ail ed", - "ud e", - "re land", - "Ġart ist", - "Ġc ast", - "ĠWh ite", - "ĠP et", - "Ġgro w", - "ed y", - "Ġm unicip", - "Ġap pl", - "Ġg ood", - "im ately", - "it ted", - "ĠWh ile", - "ĠD el", - "Ġv ot", - "b and", - "ĠP ublic", - "Ġof fer", - "t a", - "id ing", - "ĠK e", - "ĠB as", - "c ial", - "ĠS ports", - "g o", - "Ġl ess", - "Ġtrad ition", - "Ġschool s", - "m on", - "ert ain", - "ic les", - "ĠMinist er", - "r as", - "ĠJ ose", - "Ġl ive", - "id ae", - "al a", - "ĠC ons", - "Ġd ata", - "ro ll", - "one y", - "it her", - "Ġph ys", - "Ġf und", - "Ġ199 3", - "ĠDem ocrat", - "Ġty p", - "Ġother s", - "ens ive", - "Ġh uman", - "Ġsh ould", - "Ġd aughter", - "ol a", - "ĠT or", - "ab ly", - "epend ent", - "at ives", - "Ġem ploy", - "Ġro ck", - "Ġd i", - "Ġgro und", - "ĠP eter", - "osp ital", - "Ġre v", - "ĠFran k", - "Ġrec ogn", - "Ġm ater", - "Ġhim self", - "Ġst ar", - "overn or", - "all s", - "v iron", - "Ġbuild ings", - "Ġde cl", - "Ġ =", - "re y", - "ĠCath olic", - "ĠM el", - "ĠS ong", - "ut y", - "ĠRich ard", - "le g", - "Ġr ul", - ") :", - "Ġac ross", - "az ine", - "Ġav ail", - "Ġf ire", - "Ġcomp anies", - "ĠS ur", - "g en", - "h i", - "ic ation", - "ĠSw ed", - "19 5", - "al y", - "ĠB ill", - "Ġb ody", - "p ite", - "s y", - "en a", - "ate g", - "ol f", - "Ġan im", - "ant ed", - "Ġcamp aign", - "Ġst ations", - "and ing", - "at re", - "Ġl anguage", - "sh ire", - "m ost", - "ri a", - "Ġe ight", - "19 4", - "um e", - "Ġdo es", - "ĠW il", - "b our", - "Ġaver age", - "ĠM ass", - "ĠL u", - "ĠU p", - "ĠF ore", - "Ġm ot", - "Ġ199 1", - "ce ed", - "Ġbl ack", - "Ġqu al", - "Ġex ist", - "Ġbec om", - "ĠPar is", - "ĠSec ond", - "Ġplay ing", - "ut es", - "ric ket", - "o ice", - "ra el", - "ĠL at", - "Ġt ro", - "g ress", - "Ġmod ern", - "Ġl ow", - "ĠHen ry", - "em or", - "Ġdef e", - "ĠSup er", - "ĠVict or", - "he ast", - "19 3", - "Ġh ow", - "ĠS ant", - "Ġepis ode", - "Ġ18 4", - "Ġp aint", - "st ro", - "Ġc le", - "Ġ et", - "ĠC ro", - "Ġgrad u", - "o res", - "S t", - "z il", - "Ġst age", - "Ġd ivision", - "Ġd ram", - "Ġex ample", - "Ġd er", - "ĠGeor g", - "Ġc ross", - "em ents", - "Ġ4 0", - "w rit", - "ud d", - "Ġr adio", - "ad a", - "Ġne ver", - "Ġl iving", - "air s", - "ĠD ire", - "Ġperform ed", - "h ood", - "Ġf oc", - "ĠL os", - "Ġfem ale", - "emb ly", - "ch ie", - "oc key", - "and id", - "Ġw inn", - "eth od", - "ĠH on", - "Ġl ight", - "ĠS ome", - "Ġse par", - "Ġart ists", - "Ġbel ie", - "ĠRe v", - "Ġf ree", - "ĠSm ith", - "Ġpolitic ian", - "Ġac qu", - "ĠP enn", - "Ġass oci", - "w are", - "ĠOr der", - "Ġf ight", - "t ime", - "ur a", - "ent ial", - "Ġcont ract", - "ov iet", - "2 4", - "ĠChampionship s", - "ĠL ake", - "ĠB ut", - "ibr ary", - "ough t", - "Ġstr ong", - "ign ed", - "Ġsuccess ful", - "Ġmon ths", - "ĠF C", - "Ġre d", - "Ġkill ed", - "at ory", - "im ate", - "Ġfin ished", - "ĠEduc ation", - "av al", - "Ġpl aces", - "id ents", - "Ġcon struction", - "ĠCh ic", - "he ad", - "pe ople", - "k ed", - "ĠI reland", - "ĠO l", - "Ġg ave", - "Ġestablish ments", - "Ġ198 8", - "ĠC amp", - "Ġm us", - "av es", - "ĠG o", - "Ġavail able", - "ĠDe f", - "Ġcon du", - "Ġa way", - "Ġgo al", - "Ġ198 9", - "v a", - "Ġperforman ce", - "if f", - "ell ing", - "ĠO b", - "ĠS aint", - "Ġt re", - "Ġal though", - "id s", - "ĠP an", - "as c", - "ish op", - "Ġpro t", - "Ġbo oks", - "ran ch", - "il ities", - "viron ment", - "it a", - "ĠS pec", - "Ġj ournal", - "an o", - "Ġin formation", - "Ġ ide", - "ĠD ay", - "ad o", - "inal s", - "z a", - "ic ated", - "ĠFilm s", - "he re", - "ĠOlymp ic", - "Ġd am", - "ĠC ur", - "Ġt aken", - "ĠV ill", - "ĠW in", - "ĠNot es", - "le ft", - "ell a", - "Ġcap t", - "it ch", - "i qu", - "ĠBra zil", - "ĠIs rael", - "ĠD u", - "ific ant", - "Ġshow s", - "Ġfollow ed", - ", \"", - "Ġr ank", - "o o", - "Ġag re", - "ĠR ob", - "ĠC areer", - "Ġto ur", - "ug by", - "Ġc ost", - "Ġm ix", - "ĠVirgin ia", - "Ġhe alth", - "Ġfr ont", - "Ġj ud", - "om a", - "ĠG overnment", - "Ġinclud es", - "Ġaward ed", - "Ġc irc", - "ut ch", - "Ġtourn ament", - "Ġc our", - "ĠM a", - "ĠL ife", - "ĠM in", - "\" |", - "Ġfeat ures", - "ig an", - "Ġ :", - "ĠJ ust", - "I I", - "Ġvi ol", - "Ġoriginal ly", - "Ġdesign ed", - "s erv", - "ĠT our", - "ĠAt l", - "Ġhouse hold", - "ĠH ill", - "ag ed", - "nd er", - "n y", - "i os", - "Ġac cess", - "Ġmater ial", - "ĠTe am", - "Ġse ven", - "se c", - "Ġs en", - "ve y", - "Ġc ourt", - "ĠE mp", - "e g", - "ĠC arl", - "ĠIt s", - "ĠM r", - "Ġim pro", - "Ġp ut", - "om s", - "Ġc ivil", - "Ġrel ig", - "2 6", - "Ġrem ained", - "ĠP erson", - "ĠHistor ic", - "Ġs ound", - "ĠAr ts", - "Ġs il", - "ist an", - "Ġstud y", - "Ġl ab", - "en ed", - "ĠG all", - "ĠR ock", - "Ġon ce", - "ĠG ra", - "2 7", - "Ġfeat ured", - "Ġin j", - "Ġd ou", - "ĠRail way", - "er ous", - "ar ia", - "ĠS qu", - "Ġfor ces", - "atri ate", - "Ġsc ored", - "ĠL and", - "ur ity", - "Ġc y", - "Ġ ill", - "om m", - "Ġt est", - "Ġ #", - "Ġp ress", - "ac hes", - "Ġ198 7", - "ol k", - "Ġb ar", - "ĠChic ago", - "2 8", - "he st", - "it es", - "Ġmark et", - "Ġbas ketball", - "ip le", - "Ġde v", - "Ġre b", - "Ġsing er", - "Ġsign ificant", - "ĠM o", - "ach ing", - "ap s", - "il ies", - "Ġpl an", - "end er", - "Ġex ecut", - "r or", - "ĠS oviet", - "ic ations", - "re l", - "Ġlead ing", - "Ġtra ining", - "em s", - "ĠSc ot", - "v in", - "Ġpol ice", - "Ġmed ia", - "ĠFor ce", - "Ġe arn", - "ver t", - "ĠS ub", - "y e", - "ic y", - "Ġ195 0", - "ĠM il", - "C h", - "Ġm ount", - "Ġlarg est", - "Ġr ights", - "ĠS ir", - "ear ch", - "ĠComm ission", - "augh t", - "ĠT wo", - "ĠItal y", - "m ier", - "A mer", - "ĠS o", - "ĠPro fess", - "Ġ198 6", - "our ce", - "Ġm ust", - "Ġair craft", - "Ġst ri", - "ĠM od", - "Ġmod el", - "ut er", - "ĠMex ico", - "Ġ198 4", - "Ġch art", - "Ġen c", - "y p", - "Ġs em", - "ĠCl ass", - "ĠI ll", - "Ġthrough out", - "ĠPol it", - "Ġl iter", - "ist ics", - "ĠP arliament", - "Ġg old", - "Ġtrans fer", - "Ġcons ist", - "v ing", - "ĠS ince", - "ĠMar k", - "Ġinvol ved", - "Ġc ou", - "ĠC at", - "Ġlist ed", - "Ġsub sequ", - "ord er", - "Ġst ated", - "ien ces", - "Ġwh ite", - "ĠO ff", - "ĠAn n", - "Ġw id", - "un k", - "Ġbo ard", - "s el", - "Ġintro duced", - "Ġrepl aced", - "ĠIr ish", - "Ġs ugg", - "ann el", - "Ġe arl", - "Ġse en", - "Ġcompet ition", - "Ġb i", - "Ġ18 3", - "un s", - "ĠE r", - "ĠProv ince", - "ĠFlor ida", - "Ġc andid", - "Ġd iv", - "if t", - "6 0", - "2 9", - "Ġtrans l", - "ĠN avy", - "ĠM ur", - "Ġ198 5", - "Ġwrit er", - "Ġevent ually", - "Ġpriv ate", - "Ġv ia", - "Ġresp ons", - "rib ution", - "ut ure", - "ĠTe chn", - "Ġcrit ic", - "Ġresult s", - "Ġent ire", - "u ff", - "Ġvoc als", - "c her", - "Ġab le", - "u z", - "um m", - "ĠD o", - "te xt", - "Ġr an", - "Ġadd ed", - "ret ary", - "ĠAl though", - "Ġc ollege", - "ĠD en", - "Ġpro ble", - "ĠO per", - "ĠComm ittee", - "ĠF estival", - "Ġfour th", - "ĠS il", - "o ch", - "Ġp ast", - "Ġcount ries", - "ĠF in", - "as k", - "ĠB us", - "ro ad", - "A S", - "el t", - "ĠW ales", - "c ript", - "Ġw ind", - "ĠAngel es", - "y r", - "ĠO ver", - "Ġcent ral", - "Ġst e", - "Ġact ress", - "m b", - "uf act", - "Ġsur v", - "as ing", - "ul arly", - "Ġa ud", - "Ġwrit ers", - "u a", - "ian o", - "Ġcomm and", - "Ġass ociation", - "Ġle ast", - "m in", - "Ġres pect", - "i res", - "ĠBro wn", - "ĠE v", - "Ġl oss", - "yl van", - "Amer ican", - "Ġsp ace", - "por ary", - "Ġs er", - "A R", - "ĠSc ience", - "ĠO ut", - "mer cial", - "8 0", - "ĠN orthern", - "Ġun its", - "ĠM ost", - "ab ility", - "f ic", - "ĠR h", - "Ġn omin", - "ĠF ound", - "ĠSt ar", - "ĠRuss ia", - "Ġm inist", - "Ġs ch", - "b b", - "ok e", - "ĠU k", - "ĠG od", - "r up", - "Ġdeg ree", - "i ro", - "ĠCong ress", - "ĠCarol ina", - "Ġst aff", - "Ġdisc over", - "Ġ198 3", - "Ġr ange", - "Ġst ates", - "ib l", - "ĠAr g", - "ri al", - "Ġcl ose", - "ĠR os", - "Ġdoc ument", - "ra w", - "ĠJ un", - "Ġbroad cast", - "n ow", - "Ġf ig", - "Ġab ove", - "pl es", - "Ġre ached", - "med i", - "g ian", - "l or", - "Ġc ensus", - "ĠServ ice", - "st e", - "ant ic", - "Ġpl ant", - "ĠCol umb", - "ĠL iber", - "ĠE s", - "ĠC r", - "Ġch ange", - "erv e", - "T V", - "Ġprov ided", - "ĠJose ph", - "ĠO h", - "Ġse asons", - "Ġt reat", - "Ġcurrent ly", - "oy s", - "Ġex hib", - "ĠO ld", - "i ents", - "b ur", - "rough t", - "Ġg et", - "Ġcont ribut", - "Ġexp ress", - "ylvan ia", - "l im", - "Ġp ur", - "Ġe ither", - "Ġf av", - "Ġ( \"", - "Ġch ampionship", - "r ative", - "ĠS a", - "f ace", - "Ġtra vel", - "or por", - "Ġac cept", - "Ġpl aced", - "u x", - "sy ch", - "Ġmiss ing", - "Ġup on", - "ĠF re", - "al ed", - "F A", - "Ġrail way", - ") ;", - "bo ard", - "ĠS eries", - "Ġs aw", - "ad ium", - "Ġinter est", - "st ant", - "ian a", - "Ġstru ct", - "ĠC am", - "F L", - "ĠP ac", - "ab it", - "ist ic", - "ip l", - "Ġ198 2", - "Ġcent er", - "Ġm ur", - "w ell", - "Ġk ey", - "Ġ !", - "Ġa ction", - "ĠAss embly", - "a ut", - "ĠF ort", - "ĠD ou", - "Ġocc ur", - "ed s", - "Ġty pe", - "ĠM os", - "cept ion", - "Ġp ot", - "ĠM ic", - "kn own", - "p ly", - "is es", - "Ġc op", - "ĠF urther", - "ĠF ollow", - "Ġn ight", - "Ġa chie", - "ig er", - "g l", - "ĠS k", - "Ġd u", - "ĠR am", - "Ġatt ended", - "Ġ197 9", - "stit ution", - "Ġle arn", - "ĠM ill", - "Ġcharact ers", - "ĠB re", - "l anguage", - "ĠB attle", - "ĠA rab", - "Ġse x", - "ubl ican", - "ay ing", - "ĠM at", - "az z", - "Ġcap ital", - "p ress", - "ĠP opul", - "et te", - "Ġme as", - "Ġdec ided", - "ĠM ain", - "ĠW ood", - "Ġf if", - "l am", - "i h", - "ĠM ajor", - "ĠT ro", - "ele b", - "Ġar g", - "Ġdec ision", - ". )", - "ult ural", - "Ġprevious ly", - "Ġdra w", - "ĠRes earch", - "eng th", - "ar ily", - "ĠEmp ire", - "ĠG reek", - "ĠF red", - "ult ure", - "c a", - "Ġst re", - "Ġde stro", - "Ġne igh", - "Ġ197 2", - "Ġlead er", - "Ġh om", - "d en", - "ĠDemocrat ic", - "g r", - "Ġappro x", - "am ily", - "Ġstud io", - "Ġse ction", - "er o", - "Ġus ually", - "Ġme an", - "ĠPenn s", - "Ġ197 6", - "or ing", - "Ġm ass", - "ĠS ol", - "Ġdefe ated", - "ĠOffic ial", - "ĠH a", - "Ġsing les", - "and a", - "Ġed ition", - "ĠMart in", - "u an", - "ĠD utch", - "Ġre ve", - "Ġocc up", - "ow ers", - "st ra", - "re me", - "ĠC le", - "ĠS un", - "p ing", - "ĠFollow ing", - "Ġkn ow", - "Ġg rand", - "Ġn atural", - "Ġinst ead", - "Ġeff ort", - "ĠMed al", - "ĠJ im", - "ĠScott ish", - "Ġp ain", - "Ġpo et", - "Ġact or", - "Ġr iver", - "ĠSp ain", - "ch an", - "Ġf arm", - "Ġp arent", - "Ġacc ount", - "il s", - "ig a", - "ĠS ocial", - "ĠPenns ylvania", - "Ġb ur", - "B A", - "or a", - "Ġsub ject", - "st r", - "c el", - "c ell", - "Ġ198 1", - "Ġw inning", - "Ġproduc er", - "ĠG ar", - "inc ip", - "ans as", - "ĠM embers", - "Ġinvest ig", - "Ġwh ose", - "ult y", - "ult s", - "Ġm ethod", - "ĠW al", - "um ents", - "Ġpl ann", - "Ġ197 8", - "ĠL ove", - "Ġpart s", - "ĠIn c", - "Ġact ive", - "Ġ197 4", - "Ġrepresent ed", - "in ent", - "ĠM ilitary", - "Ġmov ement", - "at o", - "Ġg e", - "ĠH ow", - "Ġprim ary", - "Ġprov ide", - "ĠAs ian", - "Ġfam ilies", - "Ġcult ure", - "Ġ196 8", - "ĠP ak", - "w an", - "Ġrelations hip", - "Ġplay s", - "9 0", - "ĠL ater", - "ĠF inal", - "b ased", - "Ġf ar", - "Ġp ark", - "ĠR adio", - "Ġsc ient", - "Ġorgan iz", - "pt ion", - "Ġpr ison", - "ĠJ ud", - "Ġde al", - "ĠLe e", - "Ġp red", - "Ġn orthern", - "Ġ194 0", - "Ġs outhern", - "Ġbeh ind", - "Ġp urch", - "ĠE p", - "pos ition", - "r ig", - "Ġt ax", - "ĠH ot", - "cl us", - "ĠT w", - "ar io", - "Ġ197 5", - "ug u", - "ĠC ross", - "l a", - "ĠI ran", - "ĠYou ng", - "ig ital", - "Ġmus ical", - "ĠBu ild", - "ad y", - "ens ion", - "Ġs ize", - "y er", - "ĠC ivil", - "ĠCh ief", - "Ġb ank", - "Ġl ik", - "7 0", - "omet imes", - "Ġ197 7", - "se e", - "ri e", - "Ġl ower", - "ĠB ul", - "ing u", - "ĠBo ard", - "w er", - "ĠB et", - ".. .", - "Ġgo als", - "isc o", - "ĠS ar", - "ĠSp ace", - "Ġb rought", - "ĠP ost", - "Ġread ing", - "Ġco ast", - "Ġnew sp", - "ĠB ig", - "ĠB ase", - "erg y", - "Ġout side", - "ĠL oc", - "Ġac adem", - "ĠH el", - "Ġs us", - "s k", - "ĠS outhern", - "ĠReg ister", - "\" )", - "n ot", - "Ġp ers", - "Ġcolle ction", - "Ġh ard", - "Ġorgan ization", - "im b", - "ar ing", - "Ġc ut", - "Ġ i", - "ĠC D", - "end s", - "ĠH aw", - "Ġr ather", - "all ed", - "ĠB ack", - "ers ey", - "Ġ197 3", - "Ġf all", - "m ark", - "Ġclos ed", - "a o", - "Ġindust ry", - "Ġrun s", - "Ġwrit ing", - "al i", - "Ġn etwork", - "Ġg irl", - "Ġend ed", - "N A", - "Ġc ricket", - "ĠJ ack", - "Ġman ufact", - "Ġc are", - "h an", - "Ġdram a", - "Ġk ing", - "ĠL uc", - "or se", - "Ġfor ce", - "Ġsh ot", - "ir m", - "Ġfootball er", - "Ġ193 0", - "ĠAd m", - "it an", - "Ġsystem s", - "anc ial", - "p an", - "at i", - "pec ially", - "he t", - "aw a", - "ĠO x", - "I D", - "ĠEd ward", - "ĠEng ine", - "ct ive", - "Ġh it", - "ĠL ong", - "Ġes c", - "ul ation", - "oun ter", - "Ġposs ible", - "Ġw ood", - "Ġim m", - "ĠVal ley", - "ĠR el", - "Ġreg ard", - "ĠU nder", - "ĠT ri", - "Ġ194 5", - "Ġmat ches", - "m ond", - "Ġallow ed", - "Ġstud ies", - "ĠV er", - "ĠU r", - "ĠS pr", - "ĠT imes", - "Ġne g", - "Ġal most", - "it ors", - "ĠRep ublican", - "Ġreg ular", - "Ġ196 9", - "ven ue", - "id er", - "Ġstru cture", - "Ġst op", - "in ary", - "Ġ197 1", - "Ġmag azine", - "ĠJew ish", - "em ic", - "ur b", - "Ġchang ed", - "Ġcomm ission", - "Ġfre qu", - "c ient", - "enn is", - "ĠTe levision", - "in ated", - "l ike", - "ĠJ ul", - "ent h", - "Ġc at", - "ĠB ob", - "back ground", - "ĠP o", - "ĠB ank", - "Ġd en", - "ĠMich igan", - "Ġis land", - "c ing", - "Ġpl at", - "Ġsett le", - "Ġsch ol", - "ĠD isc", - "Ġlaun ched", - "Ġb all", - "ĠM ah", - "Ġoper ations", - "it iz", - "ĠC amb", - "air man", - "ov ers", - "Ġw oman", - "ĠPl aces", - "velop ment", - "Ġbeg inning", - "ac ing", - "Ġperson al", - "ĠJ er", - "ĠO s", - "Ġter rit", - "k o", - "Ġto wards", - "3 5", - "on n", - "Ġte xt", - "i as", - "Ġtrans port", - "ĠMc C", - "Ġgen us", - "ĠA thlet", - "Ġown ed", - "Ġdet erm", - "Ġt aking", - "Ġn ar", - "Ġf ood", - "ĠOp en", - "Ġmanag er", - "et ts", - "Ġacc ording", - "e es", - "Ġ196 7", - "Ġc ases", - "ĠT im", - "Ġm er", - "ĠH ung", - "ĠHe alth", - "ip s", - "y an", - "Ġn ames", - "ak a", - "Ġind ependent", - "Ġcon stru", - "Ġwh om", - "Ġp ay", - "us band", - "ĠV i", - "ly ing", - "Ġ196 4", - "ol s", - "Ġsc ience", - "Ġf a", - "Ġrem ov", - "Ġoffic er", - "Ġc red", - "ĠPhil ipp", - "Ġ )", - "ĠOh io", - "ĠB h", - "Ġsc ore", - "st ate", - "ĠK ent", - "Ġapprox imately", - "ĠIn f", - "Ġmin or", - "Ġv eh", - "ĠT op", - "Ġob serv", - "ĠL ine", - "ĠF r", - "7 5", - "ĠUn ivers", - "Ġcomp let", - "Ġbre ak", - "ĠR ou", - "im a", - "ĠPol and", - "Ġfun ction", - "ib ility", - "ĠJ o", - "b ury", - "ino is", - "Ġe ver", - "Ġsc reen", - "b on", - "Ġconc ern", - "Ġsp ent", - "Ġar my", - "ĠG al", - "ĠArg ent", - "Ġaddition al", - "ct ing", - "g a", - "pe cted", - "Ġsqu ad", - "Ġ6 0", - "ĠD is", - "o id", - "Ġph il", - "ĠII I", - "ĠA re", - "o ir", - "Ġnot ed", - "in et", - "ĠScot land", - "ĠM ot", - "ĠG h", - "Ġs elf", - "Ġob ject", - "en ced", - "Ġcomple x", - "Ġbo x", - "ir a", - "Ġc eleb", - "amp ions", - "ĠT re", - "ach us", - "ĠL ord", - "if y", - "w w", - "Ġiss ues", - "Ġcount y", - "ĠPol ish", - "Ġ19 20", - "os h", - "il ed", - "Ġch ief", - "ĠB or", - "en ces", - "Ġsen ior", - "es h", - "k ing", - "ĠQue en", - "Ġc he", - "Ġmon th", - "Ġb attle", - ": #", - "Ġcom mercial", - "ost on", - "Ġl ived", - "Ġs ummer", - "Ġele ctions", - "4 5", - "Ġits elf", - "Ġd ate", - "Ġmult iple", - "Ġrel ated", - "uf fer", - "ĠPac ific", - "Ġs at", - "read y", - "Ġpolitic ians", - "Ġfoc us", - "Ġhig hest", - "Ġro ute", - "ĠNew s", - "Ġso on", - "ĠM att", - "ĠJ r", - "ĠIll inois", - "Ġtradition al", - "d own", - "Ġto o", - "Ġl ittle", - "Ġf uture", - "Ġle t", - "Ġqu est", - "Ġes pecially", - "ĠDire ctor", - "Ġhig her", - "Ġopen ing", - "ay a", - "ard en", - "Ġsup er", - "Ġlo ok", - "ĠE nd", - "Ġ196 5", - "um s", - "Ġm oney", - "Ġc al", - "ac her", - "ĠO k", - "ĠBrit ain", - "Ġrequ ired", - "ĠRep resent", - "achus etts", - "f ect", - "Ġinter view", - "Ġun ion", - "ĠCon ference", - "ĠD i", - "ĠJ ersey", - "Ġ196 6", - "bur gh", - "em porary", - "ĠS and", - "ĠGeorg ia", - "Ġen vironment", - "r ich", - "ad or", - "Ġed itor", - "ct ic", - "ob al", - "Ġcont ains", - "Ġappear ance", - "ĠC y", - "ĠAs ia", - "Ġbel ow", - "Ġ18 0", - "k ins", - "Ġproper ty", - "Ġpri or", - "ĠG overnor", - "ĠA z", - "19 0", - "ĠC olle", - "ĠL ab", - "ĠMass achusetts", - "Ġvict ory", - "h ouse", - "Ġme ans", - "Ġsele cted", - "Ġent ered", - "ch ange", - "on se", - "ĠB oston", - "ĠF er", - "Ġstud ied", - "d s", - "Ġpro f", - "ig r", - "p ut", - "Ġh usband", - "ĠL o", - "ĠBo ok", - "Ġpract ice", - "ĠEast ern", - "S A", - "Ġe mer", - "Ġsur round", - "Ġloc ation", - "al ys", - "st anding", - "Ġex am", - "ut en", - "Ġassoci ated", - "emor ial", - "ĠTh at", - "Ġun it", - "ĠC O", - "ĠJ ournal", - "vent ion", - "Ġm ission", - "Ġstruct ures", - "Ġb ass", - "Ġr ad", - "ĠHe ad", - "Ġmur der", - "Ġtr ade", - "j a", - "Ġ3 5", - "Ġd on", - "w a", - "Ġprofess or", - "ĠL ibrary", - "ĠColumb ia", - "ĠB ang", - "Ġc ertain", - "Ġcent re", - "ĠJ ac", - "Ġstand ard", - "Ġship s", - "ĠG re", - "F C", - "Ġret ired", - "op er", - "Ġse at", - "Ġad op", - "Ġearl ier", - "ĠPr ince", - "Ġar ran", - "Ġ ens", - "3 3", - "i i", - "Ġrun ning", - "Ġmanag ement", - "ĠM ore", - "Ġ er", - "Ġbecom ing", - "Ġd om", - "ĠJe an", - "Ġde partment", - "ĠG ame", - "w ith", - "ĠF ield", - "Ġstud ent", - "ry ing", - "Ġ194 4", - "ĠM P", - "Ġactiv ities", - "t ained", - "Ġso ft", - "Ġt rib", - "ĠThe atre", - "ĠJ ones", - "Ġclub s", - "Ġcom e", - "ĠWilliam s", - "Ġl ength", - "an ks", - "Ġem b", - "Ġmunicip ality", - "il a", - "Ġleg al", - "and ed", - "i y", - "al le", - "Ġcoll abor", - "ĠSt an", - "ail s", - "ig g", - "ĠDe velopment", - "Ġmed ical", - "Ġact ors", - "Ġs uffer", - "Ġcom edy", - "arri age", - "in em", - "N E", - "ĠM iddle", - "gy pt", - "ian ce", - "Ġleg isl", - "Ġinit ially", - "om y", - "ĠW eb", - "Ġqu arter", - "Ġcaus ed", - "9 9", - "ĠM any", - "Ġal ready", - "ad el", - "Ġs ometimes", - "Ġp ie", - "s en", - "b re", - "ĠS oc", - "Ġp en", - "Ġth us", - "Ġtra in", - "ĠCo ast", - "ĠFranc isco", - "ĠE conom", - "ĠV an", - "Ġdestro y", - "Ġmov e", - "Ġoper ated", - "et ic", - "ĠI f", - "Ġfeat ure", - "ĠB ow", - "ĠH ong", - "Ġgeneral ly", - "ĠSt ep", - "ĠK ong", - "Ġar rest", - "Ġfore st", - "Ġincre ased", - "Ġequ ip", - "ĠD et", - "ĠS at", - "Ġold er", - "Ġh ockey", - "Ġl ove", - "ĠK ar", - "ĠW ater", - "ant ry", - "Ġcour se", - "Ġw ide", - "ĠOr gan", - "tra ck", - "Ġwest ern", - "ĠM u", - "ĠW ind", - "sp an", - "Ġnum erous", - "ĠAl bert", - "am m", - "ĠBl ue", - "Ġcon v", - "Ġus es", - "Ġcompet ed", - "n o", - "Ġc ouncil", - "Ġnew s", - "Ġra p", - "ĠMan ag", - "Ġg ra", - "Ġann ual", - "Ġdif fic", - "a res", - "ee ks", - "Ġs af", - "ĠF ed", - "is ation", - "ĠJohn son", - "ĠP res", - "Ġ196 3", - "Ġchang es", - "ĠCons erv", - "and s", - "k en", - "Ġv ir", - "ĠE ll", - "ĠD ie", - "ĠM id", - "ĠCh ild", - "on ia", - "ĠPerson al", - "ĠSy stem", - "el a", - "Ġmajor ity", - "og rap", - "Ġs u", - "ĠDe ath", - "ill a", - "Ġterm s", - "Ġserv ing", - "ĠB C", - "ĠCent re", - "ri ef", - "Ġiss ue", - "ul pt", - "Ġf ederal", - "ĠA k", - "att al", - "stit u", - "Ġab s", - "ĠB iography", - "Ġant i", - "ad d", - "Ġind ic", - "ple ment", - "Ġperson nel", - "Ġbet ter", - "Ġcol on", - "Ġun iversity", - "ab eth", - "ĠBro ad", - "Ġ196 2", - "ul f", - "Ġth reat", - "ĠSer b", - "el le", - "Ġrelig ious", - "ĠA ri", - "Ġse a", - "p re", - "Ġc ust", - "Ġs ister", - "ĠT ime", - "ĠE gypt", - "I n", - "ĠB al", - "Ġke ep", - "it ation", - "ĠOx ford", - "ak h", - "ĠB ir", - "ĠSt ation", - "ĠT em", - "Ġpro b", - "ĠG ood", - "ĠTrans port", - "ĠOff ice", - "A C", - "ĠIn t", - "ĠW rit", - "Ġd rop", - "Ġlin es", - "ĠS pe", - "Ġpass ed", - "ĠH ome", - "ĠT am", - "as y", - "ĠAd am", - "Ġd ed", - "ĠSpec ial", - "Ġl ack", - "ĠIs lam", - "ĠW ild", - "Ġacc om", - "che n", - "ĠAlex ander", - "ĠL ittle", - "ĠTra ck", - "t ies", - "ĠComm on", - "Ġh ot", - "Ġexp atriate", - "Ġthough t", - "Ġor d", - "ĠSwed ish", - "man n", - "art ers", - "Ġoffic ers", - "ĠF our", - "ie uten", - "ĠL y", - "ir it", - "is her", - "ce an", - "Ġrecord ing", - "Ġclaim ed", - "Ġh um", - "Ġfor ced", - "ur ban", - "ĠU l", - "Ġprogram s", - "9 5", - "ĠM ax", - "Ġeconom ic", - "Ġstat us", - "Ġdisc uss", - "Ġ4 5", - "ĠK en", - "w ar", - "ĠFound ation", - "Ġn ine", - "Ġinst r", - "Ġlim ited", - "un n", - "orpor ated", - "; \"", - "Ġm useum", - "a ction", - "Ġsupport ed", - "it age", - "Ġim medi", - "ĠB ern", - "Ġ194 2", - "Ġmin utes", - "ĠSen ate", - "Ġcomple te", - "Ġp il", - "acks on", - "ub e", - "Ġcre ate", - "b l", - "Ġgen er", - "ĠCor ps", - "Ġover all", - "Ġh ours", - "Ġsubsequ ently", - "h ire", - "Ġsh oot", - "Ġpresent ed", - "Ġb ene", - "8 8", - "Ġmeet ing", - "ĠThe ir", - "ph y", - "ĠEn ter", - "ĠLat in", - "Ġrem ains", - "ĠF ar", - "ĠGall ery", - "ĠC ard", - "ĠR ay", - "Ġ194 8", - "ro wn", - "Ġ ice", - "ing er", - "ĠAd d", - "ig inal", - "ĠAnd rew", - "Ġdes cent", - "Ġra ised", - "uc le", - "Ġearn ed", - "Ġin stitut", - "v is", - "Ġl ic", - "Ġocc as", - "ĠB ibl", - "A T", - "Ġbel ong", - "ct ors", - "Ġev idence", - "n am", - "Ġcommun ities", - "ĠA sh", - "Ġch all", - "ĠVictor ia", - "Ġgo ing", - "Ġ194 3", - "ĠO f", - "ĠF I", - "3 6", - "iz ing", - "Ġplat form", - "Ġmost ly", - "un a", - "ap ers", - "Ġ195 6", - "Ġj ob", - "ĠC reek", - "is k", - "Ġ196 1", - "ĠSe a", - "Ġhistor ical", - "u ge", - "um ber", - "Ġw eeks", - "Ġal tern", - "m i", - "Ġf le", - "Ġappear ances", - "ĠEl iz", - "Ġse qu", - "w ide", - "at ers", - "ĠSy d", - "ĠBer lin", - "ail y", - "Ġ6 5", - "ĠM inn", - "ur t", - "ĠDe v", - "Ġresp onse", - "ĠS und", - "ĠCor por", - "ĠT y", - "Ġg ive", - "4 7", - "Ġs om", - "ĠJ ackson", - "A F", - "ze ch", - "ieuten ant", - "Ġper cent", - "ĠC orn", - "ĠKore an", - "Ġpro p", - "Ġb ound", - "Ġsh own", - "Ġar m", - "ĠC op", - "Ġin sp", - "w in", - "im s", - "Ġcon cept", - "Ġ195 8", - "ir ing", - "Ġo pt", - "B S", - "Ġreg ional", - "ĠDan iel", - "Ġpartic ularly", - "Ġinc ome", - "g u", - "ĠAl bum", - "ĠW eek", - "Ġacqu ired", - "Ġparent s", - "Ġfore ign", - "ĠR aj", - "Ġb omb", - "ĠSec retary", - "ĠEle ct", - "ĠIs lands", - "Ġm ention", - "Ġpol icy", - "Ġy outh", - "ĠN ight", - "im um", - "ont o", - "Ġc ell", - "alys is", - "Ġ195 9", - "ste in", - "Ġm iddle", - "enc ies", - "3 8", - "che ster", - "Ġdis e", - "re m", - "Ġrecord s", - "ent y", - "ĠPol ice", - "Ġin n", - "Ġt akes", - "os oph", - "4 8", - "Ġlong er", - "ĠB BC", - "Ġl os", - "Ġg ot", - "Ġhel ped", - "ell ed", - "Ġpartic ular", - "Ġf ailed", - "ri ed", - "Ġappe ars", - "ĠG irl", - "Ġ ver", - "Ġpromot ed", - "ĠDes pite", - "Ġa wards", - "on ic", - "Ġpr incip", - "Ġst ep", - "Ġ194 6", - "ĠTh ree", - "ent al", - "st one", - "Ġfam ous", - "Ġbl ock", - "ĠKore a", - "Ġrem ain", - "out heast", - "Ġthe ory", - "ĠR od", - "olog ist", - "Ġin te", - "ag n", - "Ġv ote", - "Ġfin ancial", - "Ġorganiz ations", - "ak ers", - "Ġle aving", - "ĠAt t", - "Ġtra cks", - "ĠM ov", - "ĠR og", - "Ġeast ern", - "o z", - "led ge", - "Ġg overn", - "Ġbase ball", - "ĠB i", - "Ġp sych", - "Ġ194 1", - "Ġm em", - "ĠW ork", - "Ġtechn ology", - "Ġ3 2", - "Ġen ergy", - "v ement", - "cl ass", - "om er", - "Ġsc hed", - "Ġv on", - "if ying", - "Ġm ach", - "y o", - "Ġcompos ed", - "ron ze", - "Ġh app", - "4 6", - "Ġrefer red", - "b ers", - "ĠW all", - "ĠT ax", - "ĠReg iment", - "Ġspec ific", - "Ġcre w", - "ĠSyd ney", - "ĠF amily", - "3 7", - "Ġqu ick", - "em et", - "ĠH ospital", - "Ġincre ase", - "c ul", - "ĠM unicip", - "ĠK enn", - "Ġc itiz", - "Ġbelie ved", - "Ġrem aining", - "Ġw ord", - "ĠC oll", - "ĠSh ow", - "Ġprov ince", - "Ġc ateg", - "Ġlarg er", - "ĠJ oe", - "Ġhous es", - "ĠCh arl", - "rop ol", - "ĠV iet", - "ĠC zech", - "te en", - "Ġh ospital", - "v est", - "c an", - "Ġc arried", - "ĠO tt", - "ĠL im", - "Ġ eth", - "T h", - "ĠV en", - "ric e", - "il ly", - "ou ri", - "ĠBus iness", - "Ġam ount", - "Ġl atter", - "ĠH y", - "ĠW ay", - "Ġtro ops", - "ĠF ederal", - "th ur", - "istric ts", - "Ġ195 7", - "Ġd iss", - "Ġ193 9", - "C C", - "Ġ( ),", - "ĠAr m", - "Ġstart ing", - "ĠTur k", - "Ġarchite ct", - "ov a", - "ĠP en", - "9 6", - "Ġ194 7", - "sel ves", - "ment ary", - "im ated", - "Ġthem selves", - "Ġl ay", - "Ġb rand", - "ĠQue ens", - "ĠD er", - "Ġt arg", - "l av", - "rup t", - "Ġpro posed", - "Ġch arg", - "Ġn orm", - "9 8", - "Ġfor t", - "ut s", - "Ġro om", - "Ġb ring", - "Ġepis odes", - "Ġn ative", - "ĠR et", - "Ġc er", - "Ġ195 2", - "Ġr ate", - "ĠFor m", - "ĠB oth", - "ĠO nt", - "Ġindividual s", - "ĠW orks", - "ĠB and", - "eng er", - "Ġgradu ated", - "Ġassist ant", - "Ġ3 6", - "m ore", - "e ch", - "ut t", - "ur ies", - "Ġp ra", - "Ġl og", - "ĠB ab", - "Ġwinn er", - "Ġform s", - "Ġcult ural", - "p ose", - "Ġde part", - "ĠPri ze", - "Ġ195 5", - "Ġc ities", - "itt ing", - "Ġsur face", - "Ġc hem", - "he w", - "ĠPr ime", - "j i", - "Ġoffer ed", - "ĠE arth", - "ĠJ on", - "Ġv en", - "a is", - "Ġdel iver", - "ph ia", - "ĠCol or", - "Ġm erg", - "er b", - "Ġhe avy", - "ĠB oy", - "ĠTown ship", - "ĠT ay", - "ous ly", - "ĠT od", - "es ota", - "Ġexecut ive", - "Ġon line", - "ed d", - "9 7", - "Ġs pl", - "Ġpre vent", - "ĠJe ff", - "ĠBo oks", - "Ġm arriage", - "Ġmean ing", - "ĠPre mier", - "angu ages", - "A r", - "Ġad j", - "/ /", - "Ġt able", - "enn es", - "ĠL es", - "ĠRou te", - "Ġnewsp aper", - "ĠN ether", - "ĠM ir", - "ĠMinist ry", - "Ġsepar ate", - "Ġs ociety", - "Ġd yn", - "vers e", - "Ġcons ists", - "ound s", - "ell ig", - "ĠS em", - "ĠD ist", - "Ġfif th", - "c i", - "ion e", - "ĠNot able", - "per or", - "ĠEliz abeth", - "ou ra", - "Ġb ridge", - "ĠJ es", - "ĠB ell", - "Ġpe ak", - "ĠE st", - "ic ted", - "ĠAnt on", - "I S", - "Ġto day", - "ĠMinn esota", - "ro vers", - "Ġsuc ceed", - "Ġ ess", - "ĠB ol", - "adel phia", - "Ġexper ience", - "ĠBase ball", - "ran e", - "Ġf ail", - "Ġserv e", - "f it", - "ĠP ubl", - "Ġcond itions", - "Ġvari ety", - "ĠJust ice", - "Ġcomp l", - "Ġb rief", - "it ude", - "Ġf oot", - "h y", - "ĠTor onto", - "Ġlab el", - "Ġtransfer red", - "k er", - "u ated", - "3 4", - "Ġtem per", - "ess ion", - "Ġcandid ate", - "Ġb order", - "m as", - "Ġs ource", - "ĠH uman", - "ron ic", - "ic ine", - "ĠOnt ario", - "Ġhousehold s", - "res p", - "Ġpart n", - "ran ce", - "Ġmain ly", - "Ġmov ie", - "al og", - "ĠSqu ad", - "ĠSup reme", - "Ġalong side", - "ĠH ind", - "ĠA ut", - "z y", - "ĠM ike", - "Ġdes pite", - ": //", - "ĠCh ap", - "Ġsc ulpt", - "Ġrequ ire", - "ĠL em", - "in ct", - "Ġal ways", - "ĠS om", - "a ult", - "ĠReg ion", - "ĠB ad", - "ĠB orn", - "ĠL ew", - "ĠL ight", - "ĠN ations", - "ĠT ok", - "ĠB a", - "ĠSong s", - "ric s", - "Ġpart ies", - "we ight", - "e v", - "Ġ194 9", - "Ġ195 4", - "u ing", - "Ġoper ation", - "Ġiss ued", - "Ġdou ble", - "ic ks", - "ĠPro gram", - "Ġ( ,", - "ĠI d", - "an th", - "ĠW el", - "attal ion", - "Ġpo or", - "b it", - "n es", - "3 1", - "ĠAn other", - "Ġext ended", - "sec ut", - "Ġb r", - "Ġdem on", - "ort heast", - "Ġme chan", - "ĠAn th", - "Ġpl ans", - "Ġf ace", - "ĠD un", - "Ġprov ides", - "ĠC E", - "ĠA ff", - "Ġsold iers", - "Ġm akes", - "Ġart icle", - "Ġturn ed", - "Ġinflu ence", - "R A", - "Ġ8 0", - "Ġdef eat", - "Ġrespons ible", - "Ġsil ver", - "bour ne", - "Ġd one", - "Ġro w", - "Ġj un", - "Ġs n", - "ĠHar ris", - "Ġ195 3", - "ĠA h", - "Ġarr ived", - "ra ine", - "ĠStep hen", - "er land", - "ill ed", - "Ġfeat uring", - "ĠB rad", - "Ġh ar", - "ĠMex ican", - "Ġdiffic ult", - "ĠPhil adelphia", - "w orth", - "ĠSt adium", - "Ġr ugby", - "che stra", - "os a", - "Ġst ories", - "Ġnear by", - "8 5", - "Ġm aster", - "Ġspe ed", - "ons in", - "Ġun ivers", - "Ġex cept", - "Ġa thlet", - "pt on", - "ĠSt at", - "ĠAir port", - "ĠA v", - "Ġcap ac", - "ĠCh art", - "l ers", - "Ġc orn", - "Ġhon or", - "ĠPak istan", - "om ot", - "isc onsin", - "ĠT ai", - "av en", - "ri f", - "writ er", - "b ass", - "ĠSant a", - "ĠNether lands", - "Ġparticip ated", - "Ġo il", - "ag on", - "Ġres idents", - "at ively", - "ĠC rit", - "Ġ7 0", - "Ġs aying", - "m ission", - "Ġwinn ers", - "av a", - "Ġmanag ed", - "Ġst ay", - "Ġf ellow", - "e ction", - "Ġadminist rative", - "ĠK ir", - "ĠD am", - "l ight", - "ob ile", - "Ġelect ric", - "p on", - "Ġorig in", - "b a", - "Ġcon stitu", - "ĠMed ia", - "Ġdiscover ed", - "Ġm ight", - "um ed", - "und red", - "Ġcover ed", - "rop ical", - "ĠRev olution", - "ĠProfess or", - "ĠBr ig", - "Ġren amed", - "Ġs urn", - "n s", - "or g", - "ĠInd ones", - "Ġback ground", - "Ġmunicip al", - "8 6", - "ĠW isconsin", - "Ġlik ely", - "ĠH o", - "Ġcont ra", - "d is", - "ĠCh ris", - "Ġin h", - "ĠA venue", - "Ġrec ent", - "ĠGu ard", - "Ġmusic ians", - "ĠPe ak", - "ĠR ome", - "Ġ195 1", - "Ġpar ish", - "4 4", - "Ġele ments", - "ĠC ub", - "Ġto ld", - "ig en", - "ran ge", - "qu arters", - "ac hel", - "Ġv an", - "an cy", - "Ġas ked", - "Ġg un", - "Ġ +", - "igh ter", - "Ġconstru cted", - "Ġcon fl", - "ĠPr im", - "Ġproble ms", - "ĠTechn ology", - "ĠK im", - "Ġ ult", - "Ġfinal ly", - "ow a", - "7 6", - "ĠS us", - "Ġhe art", - "ĠS her", - "Ġle ave", - "Ġo ur", - "oc ks", - "est abl", - "Ġn ature", - "emet ery", - "Ġneigh bor", - "ir med", - "ĠP ers", - "ke e", - "Ġpro gress", - "Ġprodu cts", - "ĠMus lim", - "ĠCamb ridge", - "ĠL i", - "Ġth r", - "Ġp ick", - "ctor al", - "we gian", - "Ġhe re", - "or ation", - "ĠInd ust", - "ot o", - "Ġimp act", - "Ġnear ly", - "ĠFore st", - "Ġdr ug", - "Ġp aper", - "ĠDu ke", - "ĠB ishop", - "Ġc ause", - "5 5", - "Ġp age", - "Ġen ough", - "Ġp ath", - "g ing", - "Ġw anted", - "ĠL ady", - "Ġsub s", - "m et", - "Ġde ad", - "am ber", - "Ġmedal ists", - "w ick", - "ĠSl ov", - "per ial", - "ĠLeg isl", - "r im", - "Ġreve aled", - "ap ed", - "Ġarchite cture", - "ĠEx p", - "ĠP u", - "Ġra ces", - "ric t", - "ĠC a", - "Ġne cess", - "Ġch ampion", - "Ġsec urity", - "n ic", - "s s", - "ĠCommun ity", - "ist ance", - "Ġdirect ly", - "ens ity", - "Ġsol o", - "ĠSt r", - "g et", - "Ġv oice", - "ĠWil son", - "3 2", - "Ġp it", - "epend ence", - "ins on", - "ĠPro ject", - "Ġadd ress", - "Ġsus p", - "ĠS ab", - "ĠP ower", - "orn ing", - "ĠAdm inist", - "Ġl ives", - "Ġan cient", - "Ġlead ers", - "Ġ193 6", - "Ġminist er", - "ĠCorpor ation", - "Ġoffic ially", - "Ġincre asing", - "Ġcy cl", - "Ġproject s", - "ĠCol on", - "ĠMed ical", - "ĠMar g", - "L e", - "l iving", - "Ġdis play", - "Ġprim arily", - "Ġr ural", - "ad ing", - "ĠBar b", - "Ġadminist ration", - "en ge", - "9 4", - "van ced", - "ou d", - "Ġcondu cted", - "Ġinit i", - "Ġfriend s", - "Ġlevel s", - "ĠH ay", - "ang a", - "roll ed", - "Ġpos itive", - "en ing", - "Ġs port", - "Ġmount ain", - "ens is", - "e cted", - "ĠD ar", - "ĠNor wegian", - "Ġc ard", - "ĠSwed en", - "S S", - "ĠF air", - "Ġch ap", - "ĠI ra", - "in ity", - "Ġl y", - "i at", - "ĠM oh", - "ĠF ire", - "ĠL t", - "Ġinit ial", - "yd ro", - "ĠV ideo", - "ĠSh ort", - "ul ly", - "Ġacadem ic", - "ĠIndian a", - "ĠGold en", - "uc ky", - "Ġp an", - "ĠF le", - "Ġ9 0", - "e en", - "Ġp p", - "ĠMount ain", - "ĠW inn", - "Ġf irm", - "ĠM un", - "ak i", - "Ġch annel", - "Ġdis p", - "ĠBibl iography", - "Ġs ources", - "Ġrepl ace", - "bo ok", - "ĠWin ter", - "Ġwho le", - "ĠAr thur", - "Ġlist ing", - "Ġwork ers", - "Ġ193 8", - "ĠSc iences", - "Ġlet ter", - "cript ion", - "Ġnum bers", - "ĠR ad", - "ribut ed", - "ĠN iger", - "Ġconsid er", - "ĠAl f", - "ĠPl ace", - "Ġm ic", - "Ġval ue", - "ĠDes ign", - "ĠRe view", - "ĠB udd", - "Ġde ep", - "ĠS u", - "L A", - "Ġlaw s", - "ur ches", - "ĠH u", - "em y", - "ed om", - "ĠK ansas", - "ant a", - "ĠAl so", - "Ġliter ature", - "Ġwhe ther", - "Ġremov ed", - "th ing", - "ĠL ive", - "Ġ19 18", - "g al", - "he im", - "Ġs al", - "ĠMar ia", - "Ġwith d", - "A l", - "Ġded icated", - "el d", - "i est", - "ĠGe ography", - "ĠCap tain", - "ĠU s", - "port un", - "ert o", - "ĠDe p", - "Ġsy n", - "Ġg rew", - "ony m", - "Ġd omin", - "Ġw ords", - "ĠBar on", - "F F", - "Ġplann ed", - "ĠPopul ated", - "ĠPolit ical", - "r ical", - "Ġst ars", - "ĠJun ior", - "ĠRes ults", - "7 8", - "Ġnot able", - "Ġeffect s", - "ĠUS A", - "Ġsh are", - "je cted", - "ĠU t", - "Ġk ind", - "it ter", - "e z", - "ic ed", - "Ġr ule", - "ĠMiss ouri", - "p resent", - "Ġd ark", - "E C", - "Ġcomp uter", - "Ġp iano", - "Ġorder ed", - "ĠTay lor", - "Ġreg ist", - "Ġsettle ment", - "ath an", - "ĠM aster", - "resp ond", - "ĠH an", - "Ġprom inent", - "ik a", - "M A", - "Ġsp read", - "ĠR ugby", - "Ġcontin ue", - "ĠB ridge", - "is hes", - "ĠP it", - "ĠColor ado", - "reg on", - "y al", - "Ġrec over", - "ab les", - "rest ling", - "Ġref le", - "ĠFranc is", - "Ġun s", - "res h", - "se x", - "ell er", - "ĠE P", - "ag ing", - "Ġv ac", - "O S", - "Ġ3 4", - "Ġvot es", - "for ce", - "Ġsc ene", - "Ġfollow s", - "Ġwe ap", - "Ġdire ction", - "tern et", - "il ton", - "6 6", - "g reg", - "ĠSte ve", - "ĠR em", - "ist ed", - "Ġmix ed", - "Ġto uch", - "Ġb ranch", - "Ġhost ed", - "Ġext ra", - "ĠCon ne", - "Ġd igital", - "Ġg as", - "Ġre form", - "Ġl anguages", - "ĠW alk", - "Ġg reen", - "Ġart icles", - "Ġrul es", - "Ġpot ential", - "Ġ193 7", - "Ġim plement", - "Ġre ason", - "hen s", - "Ġint ended", - "Ġp urs", - "Ġill ust", - "ĠStud ies", - "Ġcons erv", - "en es", - "g n", - "hem at", - "Ġn ation", - "Ġan g", - "z ona", - "enn a", - "ĠRepresent atives", - "Ġhistor ic", - "Ġ era", - "3 9", - "ĠCast le", - "ĠC irc", - "y ard", - "ĠL ind", - "ĠE arl", - "Ġtri al", - "ul ated", - "Ġdiv ided", - "ĠG ree", - "Ġcapac ity", - "Ġide a", - "ĠM ember", - "Ġ ut", - "ĠN az", - "g rad", - "Ġcol or", - "Ġfor ward", - "ropol itan", - "Ġt al", - "Ġtit led", - "ograph ic", - "n ce", - "Ġrespect ively", - "Ġfl oor", - "Ġdestroy ed", - "Ġtit les", - "Ġtreat ment", - "Ġs oc", - "ĠO regon", - "ol es", - "ĠJ os", - "Ġass igned", - "ĠK al", - "ĠMar sh", - "Ġengine er", - "ĠK el", - "Ġ6 4", - "20 10", - "it led", - "ĠF e", - "Ġtown s", - "7 7", - "g g", - "ill ery", - "ur d", - "ĠTur key", - "ĠWar s", - "ĠMal ays", - "ĠP ier", - "Ġin side", - "Ġp arliament", - "or al", - "ap ore", - "ĠFred er", - "ĠH al", - "ĠR om", - "ly n", - "k h", - "ĠZ h", - "Ġag ric", - "ix ed", - "% )", - "Ġbas is", - "Ġd ance", - "Ġactiv ity", - "6 5", - "Ġsem i", - "Ġnov els", - "Ġre pe", - "and on", - "Ġcompos er", - "Ġbeh av", - "200 7", - "Ġun known", - "Ġreview s", - "Ġsit es", - "ĠE th", - "Ġ. ..", - "ĠBrazil ian", - "ĠComm and", - "Ġc ounter", - "re al", - "c ow", - "iv ity", - "Ġgrow th", - "b ec", - "Ġcle ar", - "Ġst reet", - "ĠDav is", - "Ġcont rovers", - "Ġmet al", - "ĠCon f", - "Ġfem ales", - "ĠP ass", - "b u", - "M S", - "Ġeffort s", - "Ġpurch ased", - "Ġp al", - "Ġpl ants", - "Ġbecom es", - "ennes see", - "b ell", - "Ġmov ing", - "Ġp et", - "Ġup per", - "ĠBro ok", - "ĠCon c", - "ĠAtl antic", - "ear s", - "Ġcont est", - "Ġprodu ce", - "iz es", - "ĠCount ry", - "Ġfe el", - "ĠSt and", - "ast y", - "ĠT al", - "ĠBe ach", - "ĠC re", - "ĠB all", - "Ġfac ilities", - "Ġl ies", - "ĠAri zona", - "a ud", - "ĠG reg", - "un ct", - "em an", - "Ġquest ion", - "ĠPhilipp ines", - "Ġcer em", - "ĠT a", - "ian t", - "it o", - "200 9", - "ĠN ic", - "ad ed", - "Ġtyp es", - "Ġequip ment", - "ĠFore ign", - "Ġcapt ured", - "I A", - "ĠF ree", - "Ġprodu ct", - "f ort", - "Ġsmall er", - "Ġatt end", - "est ic", - "Ġquick ly", - "Ġst ore", - "Ġy et", - "ĠK r", - "b ro", - "w ater", - "Ġhigh ly", - "200 0", - "e k", - "Ġle aves", - "ĠSe ver", - "Ġcont act", - "Ġcitiz ens", - "Ġ5 00", - "ĠS on", - "ar p", - "ound ed", - "Ġform at", - "b les", - "Ġdocument ary", - "Ġ4 4", - "Ġest ate", - "ast ic", - "st yle", - "ĠT ennessee", - "Ġimmedi ately", - "Ġ( ;", - "ĠLe on", - "ren ce", - "Ġorgan ized", - "if orm", - "Ġaccept ed", - "Ġs umm", - "ĠMar c", - "Ġg re", - "b ed", - "ed ia", - "k in", - "ipl om", - "w atch", - "Ġop portun", - "ĠNor way", - "j an", - "Ġcon ver", - "ĠM as", - "a ug", - "20 11", - "ef e", - "ĠS ri", - "Ġm ax", - "Ġown er", - "ul ed", - "Ġcon ference", - "Ġfl ight", - "Ġr at", - "ĠC as", - "ian g", - "s ky", - "ur er", - "Ġ193 5", - "ĠN etwork", - "Ġ19 19", - "Ġphys ical", - "Ġfav or", - "Ġfac ulty", - "Ġro les", - "200 6", - "g ers", - "o is", - "200 8", - "Ġst ra", - "Ġsy mb", - "Ġaut om", - "Ġb ronze", - "er c", - "Ġdecl ared", - "ĠMary land", - "amb ig", - "Ġconf irmed", - "Ġsoft ware", - "se y", - "am i", - "ĠC ra", - "ĠS av", - "Ġmot or", - "Ġte acher", - "Ġchar ge", - "Ġre ach", - "ol n", - "Ġcommon ly", - "ĠUk raine", - "Ġpos itions", - "ann a", - "Ġaff ili", - "Ġg overnor", - "Ġ19 14", - "Ġhous ing", - "Ġoper ating", - "ĠHigh way", - "Ġv s", - "ĠO d", - "Ġ3 3", - "eat her", - "ĠB at", - "ĠBe fore", - "Ġprogram ming", - "Ġper man", - "Ġbe at", - "im al", - "Ġh tt", - "Ġstre ng", - "ĠIra q", - "U n", - "ĠS ources", - "Ġele v", - "am in", - "ce st", - "Ġcomp ared", - "r ate", - "ĠFor mer", - "Ġcom es", - "h at", - "ĠBack ground", - "ĠSing apore", - "Ġterrit ory", - "ĠFed eration", - "are t", - "Ġab ility", - "ĠMod ern", - "Ġagre ement", - "Ġd istricts", - "b s", - "Ġcom ment", - "Ġtarg et", - "ĠK l", - "CA A", - "Ġst one", - "Ġ19 10", - "ĠM emorial", - "Ġfound er", - "ĠR oss", - "ĠL iter", - "Ġw a", - "Ġp op", - "ĠDe c", - "Ġsw im", - "ellig ence", - "Ġ19 17", - "Ġg iving", - "ag a", - "ĠD or", - "Ġagre ed", - "ĠF ox", - "Ġatt ention", - "ĠCh ile", - "Ġmod els", - "ar c", - "Ġappro ach", - "Ġengine ering", - "5 8", - "Ġn ucle", - "9 3", - "inc ial", - "vent h", - "ĠH or", - "Ġcamp us", - "ĠO cean", - "ĠS ound", - "S P", - "Ġpe ace", - "ĠE ach", - "m ad", - "west ern", - "igh th", - "du ce", - "Ġlead ership", - "Ġinstitut ions", - "Ġw alk", - "Ġatt ra", - "Ġc ars", - "od ies", - "S C", - "ap h", - "Ġl if", - "Ġap art", - "ript ion", - "Ġ192 8", - "Ġy ards", - "Ġest imated", - "Ġel im", - "z o", - "ĠB ru", - "igr ants", - "ol i", - "Ġse ats", - "Ġth ink", - "Ġoccur red", - "Ġbl ood", - "ĠR en", - "un te", - "Ġw ing", - "ĠW at", - "ambig uation", - "op her", - "ĠD iv", - "ĠEnter tain", - "ĠH art", - "ĠS port", - "Ġg ained", - "ad er", - "200 5", - "Ġneed ed", - "ot i", - "Ġch airman", - "Ġmed ian", - "ĠPhil ip", - "Ġ x", - "Ġact ing", - "ĠF a", - "ĠLew is", - "Ġsuffer ed", - "Ġcon clud", - "Ġdise ase", - "Ġfig ure", - "Ġadop ted", - "Ġrec on", - "Ġb ad", - "ĠB os", - "ĠMel bourne", - "Ġfl ag", - "Ġ192 9", - "Ġs ens", - "Ġcr ime", - "in us", - "Ġc oin", - "ed er", - "we alth", - "Ġdist ribution", - "Ġserv es", - "ĠT s", - "5 00", - "ĠMos cow", - "ĠT en", - "Ġst ream", - "Ġp oll", - "Ġent er", - "it ness", - "Ġf ell", - "ul s", - "Ġan alysis", - "H L", - "ĠPro duction", - "rain ian", - "Ġcomb ined", - "im inal", - "l ah", - "Ġcomm ittee", - "Ġjournal ist", - "' ,", - "s pe", - "Ġ3 8", - "ĠT est", - "ans ion", - "Ġcont ent", - "Ġcor respond", - "Ġj oint", - "T A", - "ĠAb b", - "ag h", - "or ter", - "ĠSe ason", - "Ġqu ality", - "Ġcan cer", - "Ġv ess", - "Ġpre c", - "20 12", - "200 4", - "ing ham", - "Ġ193 3", - "Ġpolit ics", - "ĠSt ock", - "y es", - "Ġres ident", - "Ġ193 4", - "ĠCro at", - "or ph", - "anc ing", - "Ġra re", - "ĠSpr ing", - "S h", - "ost er", - "ĠAb d", - "Ġcont emporary", - "ĠEngine ering", - "Ġproble m", - "ugu ese", - "ol id", - "ast ers", - "Ġ urban", - "Ġperforman ces", - "Ġtyp ically", - "A n", - "Ġh abit", - "y ond", - "al o", - "ĠR ound", - "p et", - "Ġret ire", - "pl ace", - "Ġmention ed", - "eth ing", - "Ġofficial s", - "l aw", - "Ġnomin ated", - "ĠHe art", - "Ġb ig", - "Ġindust rial", - "9 1", - "Ġcom ing", - "Ġun c", - "ib ly", - "ĠH ard", - "ash ion", - "ĠB on", - "Ġh undred", - "Ġf iction", - "id i", - "w orks", - "Ġpres ence", - "Ġl abor", - "ov i", - "ĠTurk ish", - "Ġbl ue", - "ĠQueens land", - "ĠKh an", - "ĠV o", - "p ass", - "Ġeduc ated", - "ant e", - "9 2", - "it i", - "w ing", - "Ġex c", - "g ar", - "Ġh or", - "20 13", - "ir al", - "ĠJew s", - "ĠH ou", - "ol ved", - "v ard", - "Ġf ast", - "l i", - "id ers", - "is a", - "ĠAdd ition", - "V ID", - "Ġpr in", - "il ing", - "ic ian", - "ĠB alt", - "Ġcol umn", - "hed ral", - "Ġco al", - "g i", - "Ġlarg ely", - "Ġresult ed", - "dis ambiguation", - "Ġrecogn ized", - "osoph y", - "ot ed", - "Ġprob ably", - "ĠI owa", - "ĠAust ria", - "m outh", - "Ġe c", - "Ġ ir", - "ak s", - "ĠG il", - "ĠAr k", - "ĠCommon wealth", - "for mer", - "Ġab andon", - "Ġ192 4", - "Ġb oy", - "Ġdam age", - "d a", - "Ġres erv", - "ĠR ang", - "p son", - "Ġm iles", - "Ġcon cent", - "ĠKent ucky", - "Ġh op", - "ĠBro ther", - "os en", - "ĠO t", - "Ġbur ied", - "ĠE c", - "Ġc ab", - "u ate", - "Ġpaint ing", - "Ġschol ar", - "ĠD own", - "ĠB ah", - "v o", - "ĠC ab", - "Ġc am", - "ĠSports people", - "Ġwid ely", - "act er", - "Ġsc oring", - "G B", - "Ġexp anded", - "5 6", - "Ġc ode", - "Ġ19 00", - "Ġvill ages", - "z h", - "Ġar ts", - "Ġex pected", - "Ġrank ed", - "ol is", - "Ġ193 2", - "Ġ3 7", - "Ġsex ual", - "ĠEntertain ment", - "Ġclass ical", - "Ġsports people", - "Ġb ra", - "ĠSquad ron", - "ĠK itt", - "Ġnew ly", - "Ġrec omm", - "Ġident ified", - "ĠHar ry", - "Ġm m", - "Ġcrit ical", - "Ġf elt", - "Ġgr anted", - "Ġm ill", - "Ġdef end", - "ĠAre a", - "oc ese", - "iqu es", - "ar o", - "ĠC ape", - "Ġp ict", - "u i", - "form ed", - "ain e", - "cl es", - "Ġse arch", - "ĠWal ter", - "Ġsecond ary", - "ĠBel g", - "Ġ rom", - "Ġf ish", - "Ġad apt", - "Ġsqu are", - "ĠH ur", - "ĠManag ement", - "ĠT ony", - "ĠD anish", - "ĠG i", - "Ġcou ple", - "Ġdr ums", - "Ġstar ring", - "Ġal le", - "m itted", - "ro g", - "us ion", - "ĠL ike", - "Ġlos ing", - "Ġb illion", - "Ġwe ight", - "Ġconc ert", - "20 14", - "k es", - "se ason", - "ĠSw iss", - "l ast", - "Ġs ales", - "Ġt aught", - "t ing", - "il ation", - "Ġcre ation", - "Ġcond ition", - "Ġre duced", - "Ġm ess", - "ett ing", - "ĠViet nam", - "ĠN ick", - "Ġco aches", - "Ġdist ance", - "Ġthe atre", - "vi ation", - "Ġcomm ander", - "Ġpress ure", - "8 7", - "Ġresult ing", - "Ġw ild", - "Ġ192 7", - "Ġb al", - "Ġpre mier", - "or ship", - "Ġthere fore", - "Ġoff ers", - "ĠCO VID", - "0 5", - "ĠR on", - "itz erland", - "i ot", - "ĠInf antry", - "ĠProfess ional", - "ĠPort uguese", - "S T", - "Ġcap tain", - "200 3", - "ĠG ord", - "ĠRec ord", - "cl aim", - "ĠReg ional", - "Ġinstr ument", - "ĠS ix", - "Ġlo an", - "oc ated", - "ĠTh rough", - "ĠT an", - "Ġ19 12", - "p ur", - "Ġsp ons", - "4 1", - "ĠAm ong", - "Ġsec ret", - "20 15", - "ĠSim on", - "ĠUk rainian", - "ĠA st", - "ĠB eng", - "ĠSe le", - "Ġt im", - "ĠT reat", - "m es", - "Ġtw ice", - "Ġauthor ities", - "ĠAl b", - "ĠH and", - "Ġrec ently", - "al ing", - "Ġarrest ed", - "ĠF inn", - "Ġsurn ame", - "V D", - "Ġ193 1", - "4 2", - "ad s", - "Ġstr ugg", - "ict ional", - "orn ey", - "h o", - "ĠN ik", - "Ġyoung er", - "Ġform ation", - "p a", - "I C", - "ĠN CAA", - "Ġpre p", - "Ġinj ury", - "ord in", - "Ġbeg ins", - "ĠL abor", - "um es", - "ĠAr men", - "i pe", - "Ġformer ly", - "Ġ192 2", - "ĠBul g", - "Ġra cing", - "ym n", - "0 7", - "Ġatt acks", - "Ġg raph", - "ĠH ans", - "ĠD rag", - "Ġvers ions", - "Ġw all", - "ĠGree ce", - "m iss", - "ĠI l", - "lah oma", - "ĠSt aff", - "0 6", - "Ġfin ish", - "ĠIsrael i", - "ĠAff airs", - "ĠPl an", - "Ġth ous", - "Ġsurround ing", - "Ġprov iding", - "ĠG er", - "ĠAn ne", - "ĠArch ite", - "Ġcrit ics", - "ĠPh ys", - "ay er", - "ĠSpace watch", - "Ġrest aur", - "Ġdis establ", - "b ra", - "os is", - "Ġc e", - "Ġser ious", - "0 8", - "m ont", - "re ll", - "ĠA ud", - "ĠRe al", - "Ġ192 1", - "ĠTok yo", - "ĠAl i", - "Ġvoc al", - "200 1", - "Ġt ree", - "Ġpat tern", - "as ion", - "Ġknow ledge", - "ĠBill board", - "p ool", - "ĠMill er", - "Ġ192 5", - "b i", - "ĠBe c", - "Ġshow ed", - "ĠK at", - "T C", - "ĠTr ust", - "Ġob tained", - "Ġstat istics", - "Ġc arri", - "ĠJac ob", - "Ġspl it", - "ĠN ap", - "Ġreg ions", - "Ġinte g", - "Ġ192 6", - "ann ing", - "ĠBet ween", - "og ue", - "ĠG ab", - "Ġp aid", - "ĠOr iginal", - "Ġrece ive", - "ain ts", - "ĠSw itzerland", - "ĠD omin", - "Ġl ibrary", - "inc oln", - "Ġtra ins", - "iv als", - "ĠMan chester", - "ograp her", - "g ro", - "ĠHol y", - "ĠP ict", - "ĠTh ird", - "ĠAl ab", - "Ġb ow", - "Ġf estival", - "ĠJan e", - "ru it", - "ĠEm peror", - "ĠAnd erson", - "Ġpro pos", - "p ri", - "or i", - "ĠSen ior", - "Ġnot es", - "ĠChrist mas", - "Ġc ells", - "ug al", - "Ġdesign ated", - "ĠOk lahoma", - "ĠBuild ings", - "Ġsp ring", - "og s", - "ĠServ ices", - "l ines", - "Ġn et", - "Ġsup pl", - "in y", - "Ġp ack", - "ĠR a", - "ill er", - "Ġl iber", - "ĠF ac", - "ĠCh ampions", - "20 16", - "Ġmay or", - "Ġim age", - "Ġke pt", - "Ġsugg ested", - "el ine", - "m un", - "Ġmark ed", - "ĠB rian", - "Ġclaim s", - "ific ations", - "Ġtw enty", - "Ġlaun ch", - "Ġtr ue", - "ĠT urn", - "ous es", - "Ġmanag ers", - "Ġreg ul", - "ĠPro te", - "ic ians", - "ĠK am", - "Ġh y", - "ĠB arn", - "Ġd ial", - "f ef", - "ĠA le", - "Ġconfl ict", - "Ġveh icles", - "Ġpain ter", - "ĠChild ren", - "ĠL ar", - "Ġent ry", - "Ġinsp ired", - "ĠLem mon", - "Ġfig ures", - "200 2", - "Ġ192 3", - "Ġh all", - "ĠP oint", - "Ġsp irit", - "Ġre ports", - "Ġ19 16", - "Ġexper iment", - "ate ur", - "4 9", - "Ġsup ply", - "ĠD ue", - "Ġm ales", - "Ġsix th", - "Ġhead quarters", - "ĠN aval", - "Ġb ott", - "ĠFr ont", - "and y", - "ĠRe ception", - "Ġro yal", - "Ġcontin ues", - "Ġconne cted", - "1 00", - "ĠMc G", - "ro om", - "Ġw ins", - "ĠF ord", - "Ġsh op", - "Ġtra ffic", - "Ġd ensity", - "Ġg ives", - "ĠF il", - "ubl in", - "8 9", - "oot h", - "ĠK y", - "4 3", - "Ġport ray", - "N ew", - "ĠR un", - "ĠPr in", - "Ġ19 15", - "fef efe", - "qu es", - "Ġsl ight", - "ch a", - "ri p", - "Ġjud ge", - "Ġmaterial s", - "Ġact ually", - "Ġn ortheast", - "Ġthem e", - "ly wood", - "al so", - "ok ing", - "E R", - "Ġpart ner", - "Ġa im", - "Ġ7 5", - "; \"|", - "20 17", - "oth s", - "Ġop position", - "Ġcomp on", - "ĠP op", - "rat or", - "ĠAlab ama", - "ĠLab our", - "ĠHow ard", - "Ġpromot ion", - "Ġsucceed ed", - "Ġpur pose", - "Ġcl imate", - "ĠBas ketball", - "ĠAlbum s", - "ĠL ow", - "ol ished", - "u ous", - "ĠR ose", - "r in", - "ene z", - "ĠF ame", - "ĠL incoln", - "Ġte aching", - "ĠI V", - "ro it", - "Ġgre ater", - "ĠHam ilton", - "ĠE ric", - "ĠSing les", - "v ens", - "ĠN ative", - "Ġtri ed", - "ĠL ieutenant", - "Ġcompet itions", - "Ġet c", - "6 7", - "Ġfac ility", - "A A", - "ĠPl ot", - "ĠB attalion", - "ĠT el", - "l an", - "Ġallow ing", - "ional ly", - "l ife", - "ĠMiss iss", - "Ġb att", - "b ot", - "ĠB urn", - "ĠSur vey", - "Ġt alk", - "Ġpres erv", - "Ġs ays", - "ĠAust rian", - "ĠDou gl", - "off s", - "ĠK az", - "ĠY outh", - "0 1", - "Ġmusic ian", - "ĠN ich", - "ecut ive", - "ĠS n", - "ĠMar ine", - "Ġacc ident", - "ag u", - "ik h", - "hes s", - "Ġ4 2", - "Ġc ert", - "ĠFor ces", - "Ġsc ript", - "Ġvis it", - "wh ich", - "ipp i", - "ed ing", - "Ġhistor ian", - "e ast", - "Ġto wer", - "Ġsing ers", - "Ġpublic ation", - "Ġscient ific", - "ur ance", - "Ġt ells", - "Ġ @", - "ĠCh annel", - "ĠMount ains", - "Ġcan not", - "u v", - "ĠDes cription", - "ord an", - "Ġreturn ing", - "Ġgrow ing", - "Ġexist ing", - "ĠExp atriate", - "Ġf ully", - "ĠLoc al", - "ctic ut", - "ĠHar vard", - "achel or", - "ĠBuild ing", - "ĠArgent ina", - "Ġp le", - "Ġappl ied", - "Ġsl ow", - "Ġp air", - "ure au", - "Ġle tt", - "Ġsit uation", - "Ġal one", - "ĠCur rent", - "ad i", - "Ġm om", - "ut her", - "20 18", - "ĠHon or", - "Ġall ows", - "rel ated", - "st ic", - "Ġmag n", - "id ge", - "Ġa ired", - "ĠTem ple", - "olog ists", - "Ġmet res", - "Ġd raft", - "Ġop pos", - "Ġsp ot", - "ĠC ost", - "ĠN ow", - "d am", - "ĠPri x", - "st an", - "Ġfight ing", - "ĠW olf", - "in th", - "ĠD om", - "ĠM it", - "f inals", - "ist ry", - "Ġm ut", - "ĠR oll", - "ĠG ram", - "5 7", - "Ġy ellow", - "Ġc art", - "is er", - "ĠPro t", - "ĠMor ris", - "Ġd iplom", - "' .", - "w ich", - "Ġmeas ure", - "ard o", - "Ġsit uated", - "D on", - "Ġs uit", - "Ġun ique", - "Ġm ap", - "ial s", - "Ġ19 13", - "ĠA uthor", - "Ġsaf ety", - "ĠConne cticut", - "ĠSt one", - "Ġs ons", - "Ġbrother s", - "ĠAnth ony", - "20 19", - "Ġpr int", - "ast e", - "Ġad vanced", - "ĠL as", - "ĠJ am", - "Ġw ant", - "Ġe arth", - "Ġmain tain", - "Ġhe av", - "ol as", - "ĠHistor ical", - "ĠN ag", - "or gan", - "Ġgu est", - "clud ing", - "Ġfe et", - "ingu ished", - "ĠL ank", - "ĠSec urity", - "ĠCol omb", - "ĠB rand", - "igen ous", - "ĠJ ay", - "Ġold est", - "Ġag ent", - "ĠPat rick", - "eral d", - "ch i", - "ĠTai wan", - "Ġhand s", - "Ġclass es", - "on om", - "ĠSt ory", - "ĠQue bec", - "at al", - "out s", - "ĠSil ver", - "ell o", - "est er", - "ĠK arl", - "Ġs ides", - "h ol", - "Ġb ill", - "Ġly rics", - "ĠN FL", - "s ort", - "Ġchart s", - "c ont", - "ĠD ur", - "Ġfl ood", - "ĠSund ay", - "ĠW ell", - "ant on", - "ĠC ulture", - "Ġgo es", - "Ġnar row", - "Ġth ings", - "Ġv ice", - "ĠEr n", - "Ġl ot", - "ĠN a", - "ĠMag azine", - "ĠJu an", - "Ġh orse", - "ĠR ural", - "Ġch osen", - "j oy", - "Ġp un", - "ĠT ar", - "ĠL in", - "inem a", - "Ġg all", - "ĠV is", - "Ġar ms", - "Ġme ant", - "at us", - "6 8", - "ĠP ot", - "Ġset s", - "Ġloc omot", - "Ġtem ple", - "os lav", - "Ġex change", - "im ens", - "ĠC ensus", - "ĠN on", - "ress ion", - "ĠBec ause", - "ĠHou ston", - "Ġr isk", - "ĠW y", - "d ied", - "Ġcor por", - "ĠH un", - "Ġe as", - "ĠH amp", - "ĠLouis iana", - "Ġs ail", - "Ġth ir", - "ĠBrig ade", - "Ġport ion", - "Ġcommission ed", - "Ġpro ceed", - "z z", - "y ers", - "Ġal t", - "ĠDie go", - "ĠN Y", - "Ġsugg est", - "ĠLiber al", - "z en", - "Ġchall eng", - "h r", - "val ue", - "Ġb ought", - "Ġprincip al", - "Ġauthor ity", - "Ġ19 11", - "ra it", - "ig ration", - "Ġn ob", - "Ġro ll", - "l ades", - "Ġf olk", - "ĠF ellow", - "ĠT un", - "Ġcomplet ely", - "Ġneighbor hood", - "Ġachie ved", - "Ġs outheast", - "Ġanim als", - "ĠAll en", - "Ġre ference", - "Ġhold s", - "Ġcust om", - "ĠBelg ium", - "ĠLt d", - "el ve", - "ĠD ream", - "ĠSever al", - "ĠCh all", - "ĠH ockey", - "ĠAb out", - "Ġgl obal", - "pect s", - "ĠC emetery", - "ĠR ace", - "199 9", - "Ġref used", - "d es", - "Ġprote ction", - "bo x", - "ĠV in", - "S e", - "ĠK u", - "ĠPu erto", - "am ing", - "ĠTod ay", - "Ġexhib ition", - "ĠB ry", - "ag er", - "und er", - "o es", - "uc cess", - "Ġappro ved", - "ĠAmerican s", - "Ġattempt ed", - "5 1", - "Ġrap id", - "j o", - "Ġint ers", - "Ġ4 8", - "ĠS in", - "au x", - "ĠV ice", - "Ġcont ain", - "Ġveh icle", - "Ġsett led", - "Ġt ennis", - "Ġsoc cer", - "Ġsy m", - "Ġf ans", - "Ġa ctions", - "ĠP ap", - "Ġcre ating", - "ĠG ib", - "ĠGord on", - "ĠHung arian", - "Ġad vert", - "Ġ4 1", - "ĠDet roit", - "Ġl ake", - "Ġvis ited", - "ĠDougl as", - "6 4", - "Ġdef ined", - "ĠLegisl ative", - "if ically", - "Ġend ing", - "ĠPort ugal", - "ind er", - "Ġnecess ary", - "ĠAnton io", - "Ġcomb at", - "ress ed", - "Ġf air", - "iam i", - "pr ise", - "Ġattack ed", - "I T", - "ĠTer rit", - "c ar", - "rid ges", - "ĠDen mark", - "iv a", - "ag en", - "ĠHer itage", - "ĠP ed", - "ivers ary", - "Ġpil ot", - "S R", - "are n", - "Ġsim ply", - "ac hers", - "Ġrece iving", - "ĠPlay er", - "ĠMississ ippi", - "Ġaud ience", - "b ar", - "Ġ190 8", - "Ġconsist ed", - "Ġcont aining", - "ĠS el", - "t i", - "Ġag ed", - "Ġoper a", - "Ġadv ance", - "ur i", - "Ġres ources", - "Ġst orm", - "Ġfound ing", - "Ġun able", - "um a", - "ĠN ar", - "Ġdirect ors", - "ou red", - "ĠBang lades", - "ĠA D", - "ĠT rib", - "ĠIslam ic", - "Ġmethod s", - "ĠM and", - "Ġrepresent ative", - "ĠO ak", - "secut ive", - "ĠEn vironment", - "Ġexp ansion", - "Ġrepresent ing", - "Ġfl ow", - "ĠA C", - "Ġvol ume", - "Ġcons um", - "g or", - "Ġsubsequ ent", - "Ġd aily", - "Ġinh abit", - "Ġactress es", - "ĠOffic er", - "Ġloc ations", - "Ġproper ties", - "ĠFreder ick", - "ĠSam uel", - "Ġg od", - "Ġf ought", - "0 9", - "Ġattempt s", - "ag an", - "we et", - "ĠN atural", - "ĠB erg", - "Ġro of", - "Ġbro ke", - "Ġra in", - "ĠInd ependent", - "ĠAl an", - "Ġmach ine", - "gh an", - "Ġte le", - "Ġsim ple", - "ist a", - "ĠD al", - "en h", - "ĠF ern", - "Ġtre es", - "ĠS ky", - "ag ues", - "ĠEx press", - "Ġsched uled", - "ris is", - "le ts", - "Ġv ent", - "ĠR ivers", - "Ġfrequ ently", - "Ġresp ond", - "ĠIn formation", - "ĠR ab", - "ĠMus ical", - "Ġsh ared", - "p o", - "Ġb urn", - "ab ad", - "ĠB an", - "Ġretire ment", - "im ents", - "ĠPit ts", - "Ġcandid ates", - "ĠM aur", - "ile y", - "Ġw ear", - "Ġex clus", - "ĠWh it", - "Ġj azz", - "Ġop pon", - "Ġst ock", - "Ġ ;", - "in er", - "ĠR oc", - "P A", - "ĠY our", - "P S", - "5 2", - "ĠCl ark", - "ĠAnd re", - "Ġmem ory", - "5 3", - "os ed", - "Ġpie ce", - "Ġs pect", - "d on", - "Ġconver ted", - "Ġrel atively", - "an ia", - "Ġdr iver", - "Ġsom ething", - "ĠWel sh", - "a ctions", - "Ġstra ight", - "Ġch ampions", - "Ġliter ary", - "Ġpresident ial", - "Ġqual ified", - "Ġeffect ive", - "ĠPh ill", - "ĠJ ordan", - "Ġcop ies", - "Ġdef in", - "Ġg uns", - "5 4", - "ig ation", - "Ġunder st", - "us es", - "Ġm is", - "Ġwin ter", - "stitut ional", - "ĠB ird", - "Ġl it", - "ĠP un", - "ĠU N", - "l ong", - "ĠL I", - "ĠD h", - "ĠK a", - "ĠEx ecutive", - "Ġch urches", - "Ġ3 00", - "ie val", - "Ġm orning", - "Ġdr ive", - "Ġult imately", - "enn y", - "ĠAl ban", - "Ġinc ident", - "ip ients", - "n i", - "op ter", - "ĠB ou", - "ĠDo ctor", - "o en", - "Ġin aug", - "Ġgirl s", - "r um", - "ĠIndones ia", - "Ġfoc used", - "ĠIn ternet", - "Ġapp oint", - "Ġdrop ped", - "ĠA ge", - "Ġpol ic", - "Ġtr ust", - "Ġdom estic", - "Ġres c", - "Ġoccup ied", - "ĠHot el", - "Ġdef ense", - "Ġc overs", - "Ġend s", - "8 4", - "ĠG ard", - "Ġf aced", - "ĠM iami", - "ud i", - "ĠVill age", - "Ġperform ing", - "in burgh", - "ent ed", - "g ment", - "Ġshort ly", - "ĠComp et", - "Ġneg oti", - "ĠL am", - "ĠE ag", - "Ġcateg ory", - "Ġr ang", - "ĠC ricket", - "Ġent itled", - "Ġprof ile", - "ĠBo x", - "od ox", - "ĠSchool s", - "f all", - "Ġalle ged", - "ph as", - "ĠSqu are", - "ĠAdminist ration", - "o a", - "az a", - "l ad", - "Ġrecogn ition", - "ĠC ultural", - "ord ers", - "Ġ4 6", - "Ġcon secutive", - "w ise", - "Ġop posed", - "A M", - "0 4", - "U S", - "Ġre ar", - "ĠD ave", - "Ġa st", - "ĠU C", - "Ġch o", - "Ġse em", - "an es", - "ig e", - "Ġh arm", - "Ġprot est", - "ĠPri or", - "ĠPal est", - "stru cture", - "al ty", - "ĠF und", - "Ġ iron", - "ĠK ey", - "Ġsett ing", - "Ġcons ult", - "Ġtouch down", - "Ġ4 3", - "ĠC all", - "Ġdec or", - "ĠVill ages", - "Ġlearn ing", - "ĠIm perial", - "ĠK er", - "ĠD ak", - "ffic ient", - "og en", - "Ġin ternal", - "ik i", - "Ġident ity", - "ĠD ublin", - "199 8", - "ĠAcadem ic", - "ud get", - "ĠB ureau", - "Ġhe ight", - "Ġs um", - "Ġkill ing", - "Ġinvestig ation", - "or ough", - "ĠP ope", - "ĠF arm", - "p ret", - "Ġmic ro", - "Ġact s", - "Ġperman ent", - "ful ly", - "Ġmax imum", - "Ġ189 0", - "ĠOr th", - "Ġair port", - "aw n", - "ĠL anc", - "o ok", - "7 2", - "Ġpre par", - "ĠBudd h", - "en z", - "Ġgu ard", - "ĠD a", - "l ov", - "Ġb ul", - "d ale", - "Ġcon vers", - "Ġcontribut ed", - "Ġemploy ed", - "st ream", - "B l", - "ĠAthlet ics", - "Ġfield s", - "Ġ4 00", - "Ġhot el", - "ĠM ach", - "ĠPro f", - "Ġappl ication", - "ĠUp on", - "ĠOn ly", - "or ia", - "ĠMo ore", - "sc ape", - "ĠPr iv", - "Ġlett ers", - "m it", - "Ġlaw yer", - "Ġcorn er", - "20 20", - "ĠStud ios", - "ĠL ast", - "ac ent", - "\" ),", - "5 9", - "ĠI S", - "Ġhe ro", - "Ġenvironment al", - "ow nt", - "ay an", - "ĠIn n", - "Ġk il", - "ĠTam il", - "Ġ4 9", - "7 4", - "Ġnorm al", - "Ġland s", - "Ġher self", - "ĠMr s", - "Ġpaint ings", - "Ġoffic es", - "ĠArk ansas", - "ĠD ark", - "Ġinst all", - "ot te", - "g ency", - "ĠF M", - "ail and", - "ĠS ud", - "ĠT ig", - "Ġdeterm ined", - "Ġon to", - "Ġeconom y", - "Ġs ust", - "a ver", - "G en", - "Ġre in", - "ĠD all", - "Ġviol ence", - "Ġs ense", - "ĠRober ts", - "ĠSh ar", - "Ġspe ech", - "ĠC ru", - "ĠMalays ia", - "ĠM em", - "Ġcolle cted", - "Ġtechn ical", - "Ġocc urs", - "Ġestablish ment", - "Ġmult i", - "Ġvir t", - "Ġro t", - "ĠCl in", - "Ġbe gin", - "Ġsy nt", - "ĠD C", - "8 1", - "ĠV enez", - "ĠF riend", - "Ġext ensive", - "ĠC er", - "ĠAn na", - "Ġaltern ative", - "ĠL ang", - "ĠDep uty", - "red ited", - "ĠMatt hew", - "ĠEd inburgh", - "ĠGl obal", - "Ġcomp ris", - "ic ts", - "Ġcomp ar", - "ĠHaw ai", - "ap pe", - "ĠC our", - "ĠE ner", - "ĠL ith", - "199 7", - "le ep", - "ĠB art", - "Ġmer ch", - "ĠL yn", - "ĠCommun ist", - "ĠF em", - "7 9", - "6 1", - "Ġim pr", - "ĠBel gian", - "ĠBow l", - "ĠN el", - "ra c", - "Ġenc oura", - "Ġs ay", - "Ġmerg ed", - "ww w", - "at ab", - "ol o", - "Ġs an", - "p oint", - "ĠD VD", - "Ġdo ctor", - "f e", - "se ud", - "ĠSt ew", - "7 1", - "le ase", - "vel and", - "ĠG arden", - "ĠPlay ers", - "Ġj ur", - "Ġhigh way", - "Ġpower ful", - "Ġsupport ing", - "ĠSing h", - "Ġpoet ry", - "Ġstri ke", - "ĠOr chestra", - "ol y", - "ĠKe vin", - "Ġdyn asty", - "Ġarran g", - "olle y", - "ill ing", - "GB T", - "Ġse ctor", - "iss ance", - "Ġc as", - "ĠFin land", - "Ġen joy", - "d i", - "Ġav oid", - "Ġcent uries", - "Ġst adium", - "ĠG ian", - "ĠC ow", - "Ġgen eration", - "ĠComm ander", - "ĠMay or", - "Ġo x", - "Ġexpress ed", - "Ġf ranch", - "ĠR ow", - "im ore", - "ĠM oon", - "Ġ190 9", - "ĠAlf red", - "Ġgl ass", - "ĠP ra", - "ograph ical", - "Ġf ashion", - "Ġres igned", - "Ġc reat", - "ad ow", - "ĠSc ient", - "ĠT it", - "d ie", - "Ġre ign", - "ĠD ick", - "S p", - "Ġhold ing", - "Ġpartn ership", - "20 21", - "Ġ190 5", - "8 3", - "Ġcontra st", - "Ġpat ients", - "ĠDon ald", - "Ġapp arent", - "Ġmat ter", - "Ġ190 6", - "Ġp and", - "0 3", - "ĠP a", - "ĠJoh ann", - "Ġplann ing", - "Ġa uth", - "Ġbe yond", - "D e", - "Ġr ing", - "ĠH ills", - "Ġdec re", - "Ġm and", - "ren a", - "ac he", - "inc orporated", - "eng ers", - "Ġ3 9", - "oy d", - "Ġsp ok", - "Ġm arg", - "ĠSh ah", - "Ġfin ishing", - "Ġph ase", - "Ġpie ces", - "our ney", - "Ġre asons", - "Ġabandon ed", - "n ote", - "Ġcerem ony", - "Ġen emy", - "ĠPro du", - "Ġf uel", - "Ġs ought", - "r ine", - "ĠG on", - "Ġweap ons", - "ĠHon ours", - "E A", - "ĠQ ual", - "Ġind ependence", - "ry st", - "Ġneed s", - "Ġval ley", - "' '", - "ĠFootball ers", - "ĠAlex and", - "8 2", - "Ġfun ctions", - "az ines", - "Ġvis ual", - "e qu", - "ism s", - "Ġinj ured", - "Ġk ick", - "st ead", - "Ġcast le", - "ĠW he", - "Ġsuccessful ly", - "ĠH unt", - "ĠLaw rence", - "Ġfail ure", - "Ġ190 7", - "Ġjun ior", - "Ġfl u", - "s et", - "ĠAtl anta", - "Ġeduc ational", - "ĠF u", - "Ġw alls", - "ram a", - "ĠR yan", - "f ound", - "Ġbro wn", - "Ġpra ised", - "Ġsec retary", - "ĠTh ailand", - "ic ide", - "ur ation", - "ĠG ri", - "ĠMont real", - "ra f", - "olog ies", - "ĠH ug", - "ist ant", - "ĠMic ro", - "Ġst ating", - "Ġfind s", - "ĠM ale", - "ob e", - "Ġr ival", - "Ġwrit e", - "ist ers", - "ia b", - "ĠWalk er", - "Ġcr iminal", - "Ġs ac", - "ĠT ourn", - "0 2", - "ĠLa ure", - "Ġm ind", - "f r", - "ĠE ven", - "Ġconstitu ency", - "ĠR ub", - "ĠThe n", - "Ġde ploy", - "ĠAl umni", - "ĠUt ah", - "Ġim pl", - "ĠN ob", - "bor ough", - "Ġslight ly", - "rom e", - "ĠL og", - "Ġinhabit ants", - "wh ile", - "cy cl", - "Ġeth nic", - "Ġconne ction", - "ĠMunicip al", - "ĠWh at", - "re ct", - "ap ted", - "Ġinv ited", - "Ġro ugh", - "Ġt ry", - "199 6", - "ĠAg ric", - "199 0", - "ĠL iga", - "Ġregard ing", - "Ġback ing", - "og y", - "alle l", - "Ġw ays", - "ĠE nt", - "Ġinv asion", - "Ġwe alth", - "Ġfund ing", - "Ġprov ision", - "ĠF al", - "Ġs and", - "ĠL GBT", - "f rom", - "Ġref ers", - "I N", - "Ġh ydro", - "ĠK ings", - "Ġprogram me", - "Ġf resh", - "f riend", - "ĠAf ghan", - "act ive", - "ĠRel ig", - "if ul", - "ĠCle veland", - "ĠN av", - "Ġste el", - "on i", - "ĠI ce", - "ĠArgent ine", - "Ġdevelop ing", - "Ġpol y", - "6 3", - "Ġvot ed", - "199 5", - "Ġh yp", - "ul es", - "Ġder ived", - "D P", - "Ġpri est", - "Ġord ers", - "ĠMc K", - "ant asy", - "che ll", - "ĠCh ampion", - "ĠN ep", - "Ġent rance", - "Ġtown ship", - "c ome", - "Ġrelig ion", - "R C", - "Ġad ult", - "Ġh ired", - "ĠL iver", - "I t", - "ĠMP s", - "ĠPitts burgh", - "Ġpublic ations", - "Ġam b", - "ĠP as", - "Ġpass enger", - "Ġtemper ature", - "Ġadv ant", - "ĠH op", - "ĠO w", - "ĠSy m", - "ĠY ug", - "Ġpass ing", - "ĠB oys", - "r un", - "ĠP ur", - "f ather", - "Ġpremier ed", - "ĠRog er", - "fect ure", - "ĠRes erve", - "ĠSt age", - "Ġcall s", - "ĠC hem", - "ĠP rom", - "n ia", - "Ġnucle ar", - "ĠM ission", - "h ard", - "ĠMarg aret", - "and o", - "iam ond", - "ĠMet ropolitan", - "Ġ190 4", - "Ġp owers", - "Ġm el", - "Ġin stru", - "ĠD igital", - "v ements", - "Ġcaus ing", - "ĠW ard", - "ele ction", - "B I", - "or age", - "ĠE qu", - "Ġequ al", - "ĠSerb ian", - "7 3", - "Ġcl in", - "ish ops", - "ĠA M", - "ot ic", - "ĠI ron", - "ours es", - "ĠOtt oman", - "ĠG ene", - "ĠG ran", - "z er", - "Ġres erve", - "ĠRoman ian", - "ĠPet ers", - "Ġgen era", - "Ġinvol ving", - "ĠL l", - "Ġd a", - "Ġd ates", - "ĠB eat", - "6 2", - "ĠY an", - "ĠDis ney", - "ap olis", - "Ġfund s", - "ĠL et", - "Ġbo at", - "Ġem phas", - "ĠRail road", - "Ġc row", - "ĠS ac", - "Ġbas ic", - "ĠHung ary", - "ĠF el", - "Ġg ar", - "Ġesc ape", - "\" ).", - "ĠRoman ia", - "ĠJes us", - "ut ies", - "Ġpass es", - "Ġ *", - "Ġsele ction", - "ĠCom ics", - "Ġdec ades", - "ĠVenez uel", - "ĠR ick", - "us al", - "ĠF ight", - "ĠN AS", - "Ġprote ct", - "ĠM ult", - "ust er", - "Ġfle et", - "Ġconclud ed", - "Ġv o", - "Ġcont ained", - "pos es", - "ĠI mp", - "ter m", - "Ġpand emic", - "Ġv arian", - "Ġinc orporated", - "b urn", - "ĠGirl s", - "Ġy our", - "ĠM es", - "Ġp ed", - "ĠTransport ation", - "Ġ5 2", - "clus ion", - "Ġcompet e", - "Ġb ishop", - "ĠR io", - "Ġcompos ition", - "Ġtra v", - "ĠFinn ish", - "Ġm art", - "ĠS C", - "Ġdo ing", - "ĠBu ff", - "m ers", - "Ġregist ered", - "ĠWh o", - "is f", - "a fter", - "ĠFlor a", - "on omy", - "Ġadv oc", - "m at", - "s ki", - "Ġinflu enced", - "Ġinst alled", - "ĠD ance", - "s ong", - "ang er", - "ĠF all", - "ĠIn vest", - "' m", - "ĠHol lywood", - "ĠMic hel", - "av ed", - "Ġc ru", - "ĠSe attle", - "ĠN eb", - "Ġr ise", - "Ġtransl ation", - "Ġrequ est", - "ĠGr ant", - "Ġsome one", - "oth ing", - "Ġ188 0", - "% .", - "Ġsh ape", - "Ġe mp", - "A P", - "ap es", - "h ing", - "Ġexist ence", - "Ġo vers", - "n ers", - "Ġw arn", - "n et", - "uk i", - "Ġworld wide", - "Ġjoin ing", - "re es", - "Ġl aid", - "ĠR y", - "n ight", - "ĠR ights", - "Ġa id", - "ra cy", - "or f", - "ograph ics", - "Ġobserv ed", - "ĠMet ro", - "II I", - "Ġarg ued", - "Ġform al", - "Ġsc enes", - "W e", - "Ġview s", - "Ġemploy ees", - "ĠN et", - "Ġw atch", - "Ġdet ails", - "z i", - "Ġp ione", - "Ġconsist ing", - "Ġexper ien", - "ĠV eg", - "Ġmain tained", - ") \"", - "ĠP rad", - "re te", - "ĠCam er", - "ĠDef ense", - "Ġhom es", - "ĠT ak", - "hemat ics", - "ĠBalt imore", - "ĠF ive", - "ri k", - "Ġprom ote", - "Ġb odies", - "ĠB ull", - "or ro", - "ĠOb last", - "Ġan th", - "el and", - "Ġeng aged", - "Ġan aly", - "ĠEner gy", - "Ġrecord ings", - "ownt own", - "ret t", - "Ġcar ry", - "Ġ190 3", - "Ġsup erv", - "ĠPubl ishing", - "c ia", - "Ġanim al", - "ĠSe ction", - "L C", - "ĠBru ce", - "Ġdr ivers", - "Ġs oci", - "Ġsol id", - "un ction", - "Ġbir ds", - "ĠMar ie", - "ĠAr n", - "ĠCh amber", - "Ġsc ale", - "Ġstart s", - "Ġanim ated", - "h ar", - "ĠG a", - "ĠS af", - "S c", - "ĠMor gan", - "Ġstat ement", - "Ġcricket ers", - "Ġt or", - "ĠU E", - "Ġacc used", - "ra structure", - "as a", - "Ġband s", - "Ġop in", - "6 9", - "ĠPal ace", - "ĠTh ough", - "Ġcon stant", - "ĠColon el", - "r ations", - "ĠA y", - "idd en", - "Ġheav ily", - "ĠK an", - "ĠF ried", - "ĠR acing", - "Ġsur vey", - "Ġp ull", - "Ġqu ant", - "O R", - "Ġn om", - "Ġ5 1", - "ĠRuss ell", - "bass ador", - "un c", - "emb le", - "ĠWrit ers", - "Ġch air", - "ol t", - "Ġre aching", - "ell i", - "ĠB uck", - "st ar", - "ĠH ere", - "Ġtra ined", - "ov o", - "ang el", - "Ġso le", - "ĠKn ight", - "Ġpl ot", - "ul ate", - "ĠR ot", - "ĠCl ar", - "Ġad vent", - "Ġprote in", - "le te", - "ur day", - "Ġt ropical", - "Ġ5 5", - "ol ph", - "ĠP ear", - "pect ive", - "ĠOper ation", - "Ġspec ifically", - "ect s", - "ĠKel ly", - "Ġfound ation", - "Ġstand ards", - "Ġb atter", - "Ġass ess", - "Ġext rem", - "l on", - "ond er", - "Ġt rying", - "Ġ190 2", - "Ġ190 1", - "Ġarch ae", - "Ġeff ic", - "Ġcom ic", - "od a", - "ival ent", - "ĠSoc cer", - "p ers", - "ĠPe ace", - "Ġaff ected", - "ĠCro wn", - "ĠLe v", - "ĠChrist opher", - "id el", - "Ġb an", - "ch t", - "Ġchem ical", - "Ġis lands", - "Ġun cle", - "ĠF A", - "erb ai", - "Ġag ency", - "ĠD yn", - "h op", - "ather ine", - "ĠEx t", - "Ġimport ance", - "=\" #", - "ĠR est", - "it als", - "Ġbehav ior", - "ĠV ik", - "Ġtw elve", - "Ġvol unte", - "ĠP ad", - "Ġt un", - "Ġcomp ut", - "Ġt end", - "ĠYug oslav", - "arg o", - "ĠBanglades h", - "ĠPrin cess", - "Ġexp ed", - "t hen", - "d o", - "Ġto ward", - "Ġimpro ve", - "it ations", - "ĠP atri", - "Ġs ale", - "Ġm ent", - "ĠAd vent", - "ann ed", - "t op", - "et ies", - "int end", - "Ġhe ard", - "ĠDe an", - "ĠCo le", - "ĠLe ban", - "Ġtransl ated", - "Ġw rest", - "I V", - "ĠBroad cast", - "Ġv ide", - "ĠDe ad", - "Ġreb u", - "ĠPerson nel", - "ĠR and", - "Ġobject s", - "ĠStud io", - "or us", - "ine a", - "Ġh air", - "ĠMed icine", - "ĠP y", - "ash i", - "ĠMunicip ality", - "Ġs ession", - "ĠStew art", - "199 4", - "ĠYear s", - "ir t", - "ĠR an", - "Ġintro duction", - "aught ers", - "Ġre ality", - "Ġshe ll", - "Ġreg iment", - "Ġeng ines", - "ĠE ver", - "ĠFI FA", - "Ġneg ative", - "Ġl at", - "Ġse venth", - "Ġrece ption", - "ĠGl as", - "Ġpaint ers", - "ĠM aj", - "us cript", - "go ing", - "Ġde leg", - "ĠC are", - "Ġdep uty", - "ĠVi enna", - "own ed", - "Ġres istance", - "ann y", - "Ġw eather", - "Ġstr ateg", - "Ġsecond s", - "Ġcollabor ation", - "ĠCE O", - "ud a", - "ĠK on", - "Ġlic ens", - "Ġth row", - "Ġa head", - "es c", - "ĠHamp shire", - "bo ards", - "Ġar med", - "com ing", - "Ġn ick", - "Ġ4 7", - "b r", - "Ġ ille", - "Ġ {", - "ĠS ign", - "ĠMar ket", - "Ġdescrib es", - "Ġposs ess", - "ĠO ri", - "Ġad apted", - "ĠTourn ament", - "ĠL en", - "wh ite", - "Ġrul ed", - "ĠL ib", - "ĠB ed", - "ĠAss oci", - "ĠNe v", - "ĠTr ade", - "g ow", - "Ġproduc ing", - "os m", - "Ġext ension", - "est yle", - "Ġm ole", - "Ġaccom pan", - "ĠLith uan", - "ĠAng l", - "umb ent", - "Ġdist inct", - "ĠT rad", - "Ġz one", - "Ġbrief ly", - "D A", - "uss ion", - "ĠMe an", - "us hed", - "Ġd ivers", - "Ġp rice", - "Ġprov ed", - "Ġfact ory", - "ĠNel son", - "am ic", - "Ġ ri", - "ĠP sych", - "ĠG ill", - "le vel", - "Ġcall ing", - "C l", - "am an", - "ĠAz erbai", - "ĠE ston", - "ĠH orn", - "Ġdivision s", - "em en", - "Ġ ere", - "Ġentire ly", - "Ġpri ze", - "Ġste am", - "ĠPh ot", - "ĠO ur", - "Ġmar ine", - "ĠA T", - "ĠCamp bell", - "Ġcompos ers", - "Ġrev olution", - "ĠDall as", - "ĠLiver pool", - "Ġex erc", - "ink ing", - "Ġim ages", - "Ġle ct", - "M ar", - "ĠMain e", - "ĠSup port", - "Ġg ain", - "Ġclos ely", - "Ġup d", - "ĠConserv ative", - "aval ry", - "olley ball", - "ĠCh airman", - "in cluding", - "ĠOn ce", - "in ian", - "ĠAthlet ic", - "Ġschol ars", - "b al", - "Ġres idence", - "ect ive", - "Ġagric ultural", - "ĠA rena", - "ĠEconom ic", - "ĠH end", - "ming ham", - "ĠD od", - "ĠThom pson", - "ĠCarl os", - "ell ite", - "am s", - "Ġr ating", - "Ġch ose", - "duc ing", - "199 3", - "ĠAust in", - "ĠSar ah", - "ĠD ra", - "Ġnorth west", - "ĠK ra", - "ic it", - "Ġcaus es", - "Ġappl ications", - "ĠJim my", - "ah n", - "Ġdist in", - "Ġed ited", - "Ġinter ior", - "as ka", - "ov ation", - "ĠE very", - "Ġp ages", - "d y", - "Ġcontribut ions", - "Ġide as", - "Ġac id", - "ĠEp is", - "ĠNor man", - "ab y", - "ĠC hen", - "ĠF ood", - "Ġsur g", - "ĠM ethod", - "ĠAll iance", - "Ġsh all", - "th m", - "ina e", - "ĠW right", - "Ġm ilit", - "Ġdoc uments", - "ĠCom ple", - "ĠH ell", - "un ch", - "Ġcolon ial", - "Ġre duce", - "il er", - "Ġloc ality", - "Ġent ertain", - "Ġsymb ol", - "Ġin form", - "Ġcop y", - "Ġpass engers", - "ĠOrth odox", - "Ġdo or", - "f inal", - "ĠKenn edy", - "Ġfl at", - "Ġlead s", - "ĠUE FA", - "Ġproduc ers", - "ĠR ain", - "ĠPl at", - "Ġed ge", - "Ġdis miss", - "ĠAg ency", - "Ġp up", - "Ġopportun ity", - "in ch", - "ate gy", - "20 22", - "Ġathlet es", - "Ġ189 8", - "Ġch oice", - "Ġem ot", - "Ġg arden", - "inn er", - "Ġrail road", - "Ġbelie ve", - "Ġcharg es", - "Ġ5 4", - "aut iful", - "Ġgradu ate", - "og ether", - "199 2", - "Ġc rown", - "ins ula", - "Ġroad s", - "Ġstreng th", - "ent ially", - "ĠR ud", - "ĠBe ck", - "ĠO m", - "ĠN ord", - "ir i", - "Ġregard ed", - "Ġtechn iques", - "Ġw itness", - "Ġposs ibly", - "ĠOper a", - "p erson", - "ĠE mer", - "ĠAdam s", - "ĠL ower", - "ph a", - "Ġcomp ilation", - "ĠBrook lyn", - "ult an", - "W est", - "ĠB omb", - "Ġdebut ed", - "Ġpro ced", - "Ġinter ests", - "rane an", - "ĠSen ator", - "Ġon es", - "ĠK it", - "am o", - "uc ks", - "v ia", - "ĠFrank lin", - "Ġg etting", - "Ġres ign", - "ĠAp p", - "ar us", - "ĠBern ard", - "Ġimpro ved", - "Ġre ally", - "ĠB illy", - "ĠG ulf", - "ĠD ub", - "ĠN ash", - "Ġm ist", - "ph ony", - "at ures", - "ĠDem ographics", - "Ġcomm itted", - "ĠSerb ia", - "et ime", - "h aps", - "Ġa er", - "Ġoper ate", - "Ġdist ributed", - "Ġf lying", - "Ġan cest", - "ĠCo oper", - "ĠVol ume", - "aw are", - "ĠPort land", - "ob a", - "or ial", - "ter ed", - "Ġref uge", - "ĠRob inson", - "ĠTr ump", - "ĠDak ota", - "ĠCat al", - "ĠCon stitution", - "Ġadj acent", - "el er", - "ĠN am", - "Ġparticip ate", - "a ire", - "Ġf ine", - "ĠLI NE", - "ĠBir mingham", - "Ġc ore", - "le e", - "Ġsing ing", - "ĠP ir", - "ĠH om", - "Ġa x", - "Ġint elligence", - "ĠStan ley", - "are st", - "ĠBrother s", - "ĠI van", - "in ate", - "p en", - "Ġfav our", - "ĠW restling", - "p ir", - "Ġcon vent", - "Ġus ers", - "Ġw aters", - "Ġen l", - "Ġ15 0", - "Ġ189 9" - ] - } -} \ No newline at end of file diff --git a/models/components/layers/tokenizer_models/bpe_en_wiki_980_simplified.model b/models/components/layers/tokenizer_models/bpe_en_wiki_980_simplified.model deleted file mode 100644 index 8b9b4a3d..00000000 --- a/models/components/layers/tokenizer_models/bpe_en_wiki_980_simplified.model +++ /dev/null @@ -1,1954 +0,0 @@ -{ - "version": "1.0", - "truncation": null, - "padding": null, - 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"Ġpassengers": 7664, - "ĠOrthodox": 7665, - "Ġdoor": 7666, - "final": 7667, - "ĠKennedy": 7668, - "Ġflat": 7669, - "Ġleads": 7670, - "ĠUEFA": 7671, - "Ġproducers": 7672, - "ĠRain": 7673, - "ĠPlat": 7674, - "Ġedge": 7675, - "Ġdismiss": 7676, - "ĠAgency": 7677, - "Ġpup": 7678, - "Ġopportunity": 7679, - "inch": 7680, - "ategy": 7681, - "2022": 7682, - "Ġathletes": 7683, - "Ġ1898": 7684, - "Ġchoice": 7685, - "Ġemot": 7686, - "Ġgarden": 7687, - "inner": 7688, - "Ġrailroad": 7689, - "Ġbelieve": 7690, - "Ġcharges": 7691, - "Ġ54": 7692, - "autiful": 7693, - "Ġgraduate": 7694, - "ogether": 7695, - "1992": 7696, - "Ġcrown": 7697, - "insula": 7698, - "Ġroads": 7699, - "Ġstrength": 7700, - "entially": 7701, - "ĠRud": 7702, - "ĠBeck": 7703, - "ĠOm": 7704, - "ĠNord": 7705, - "iri": 7706, - "Ġregarded": 7707, - "Ġtechniques": 7708, - "Ġwitness": 7709, - "Ġpossibly": 7710, - "ĠOpera": 7711, - "person": 7712, - "ĠEmer": 7713, - "ĠAdams": 7714, - "ĠLower": 7715, - "pha": 7716, - "Ġcompilation": 7717, - 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"Ġpl ay", - "Ġcom p", - "Ġ k", - "c l", - "r it", - "Ġs h", - "t her", - "Ġ y", - "f f", - "ĠS e", - "as s", - "r y", - "ag e", - "p ort", - "ir st", - "Ġ Y", - "Ġ 3", - "ĠI t", - "fer en", - "m an", - "it ion", - "ou nt", - "ou s", - "Ġ un", - "ĠA l", - "or k", - "ac k", - "Ġa r", - "er v", - "i z", - "t e", - "Ġh ad", - "Ġc l", - "on d", - "ation al", - "p er", - "he d", - "Ġt e", - "id e", - "o k", - "ĠT h", - "an g", - "ic an", - "l and", - "ter n", - "or n", - "or y", - "ic e", - "ation s", - "ul t", - "p l", - "p h", - "Ġf irst", - "Ġ19 9", - "Ġn ot", - "f ter", - "ow n", - "Ġh as", - "feren ces", - "n g", - "av e", - "ĠA r", - "om e", - "ĠD e", - "Ġ ro", - "Ġw he", - "at er", - "i b", - "n e", - "ĠRe ferences", - "en s", - "Ġcon t", - "w o", - "a ch", - "ĠA mer", - "ĠM ar", - "am p", - "s h", - "il m", - "re e", - "it e", - "Ġa d", - "Ġ us", - "at es", - "Ġp art", - "op le", - "Ġwh o", - "ĠL e", - "im e", - "Ġ j", - "it ed", - "Ġthe ir", - "r u", - "Ġin t", - "Ġ her", - "em ber", - "Ġa p", - "Ġit s", - "Ġre s", - "a w", - "ou nd", - "k e", - "ub l", - "at h", - "ou t", - "iv ers", - "o ol", - "2 0", - "o ver", - "il d", - "b all", - "a ce", - ") .", - "Ġa b", - "ol l", - "is s", - "ĠN ew", - "Ġ 4", - "cl ud", - "Ġb ut", - "Ġa c", - "e ople", - "in al", - "ĠC om", - "Ġy ear", - "t s", - "ĠAmer ican", - "Ġon e", - "ug h", - "i le", - "o ot", - "ol d", - "or s", - "Ġ19 8", - "ou ld", - "Ġa g", - "ĠE x", - "ad e", - "Ġre c", - "Ġp er", - "res s", - "u al", - "ur ing", - "f or", - "Ġs c", - "ent s", - "en ce", - "w ard", - "o in", - "w n", - "l es", - "Ġm an", - "ĠA s", - "Ġt wo", - "o y", - "Ġin clud", - "a ct", - "as ed", - "Ġd es", - "Ġbe c", - "i o", - "ch ool", - "on s", - "Ġh ave", - "w e", - "i ed", - "Ġ -", - "Ġ en", - "ct ed", - "o b", - "Ġth is", - "er n", - "v el", - "Ġal l", - "on e", - "ing s", - "Ġ 5", - "a il", - "Ġf ilm", - "ur n", - "as e", - "Ġcom m", - "ar k", - "Ġbe en", - "in d", - "is ion", - "Ġ19 7", - "g h", - "ou th", - "Ġo ther", - "ic s", - "t ed", - "Ġa fter", - "Ġd is", - "ur y", - "ĠS h", - "u ch", - "Ġ im", - "el y", - "g an", - "r al", - "is hed", - "f t", - "e ct", - "Ġof f", - "re n", - "a h", - "ivers ity", - "re d", - "o h", - "ab le", - "Ġs p", - "os e", - "an ce", - "Ġl in", - "Ġs erv", - "Ġo ut", - "Ġ up", - "Ġp eople", - "on t", - "or ld", - "o od", - "Ġ ra", - "Ġs he", - "Ġo ver", - "pe c", - "c ent", - "Ġn e", - "ion s", - "ri b", - "Ġ19 6", - "am es", - "ĠP ro", - "ĠO n", - "w ay", - "Ġe v", - "Ġn ew", - "t on", - "as on", - "al e", - "Ġ und", - "ol og", - "Ġ 6", - "ĠUn ited", - "r am", - "Ġl oc", - "Ġe le", - "oot ball", - "ĠI nd", - "d u", - "Ġthe y", - "Ġw ork", - "ist s", - "an s", - "ol le", - "e b", - "Ġint o", - "c he", - "Ġt ra", - "ces s", - "Ġ Z", - "Ġp re", - "Ġg ro", - "or th", - "ĠUn iversity", - "er al", - "ou gh", - "Ġa ct", - "Ġat t", - "c k", - "tern al", - "e p", - "ic t", - "ak e", - "Ġse c", - "ĠA n", - "Ġt ime", - "Ġb u", - "a z", - "i k", - "Ġc an", - "il y", - "ran s", - "Ġund er", - "ĠC l", - "ro ugh", - "i el", - "i x", - "ic k", - "v i", - "Ġp ol", - "d uc", - "p r", - "ĠS c", - "ĠE ng", - "in ce", - "v e", - "ou n", - "if e", - "Ġte am", - "Ġlin ks", - "Ġplay ers", - "al s", - "oc i", - "r ad", - "Ġre g", - "Ġp ubl", - "ot h", - "Ġ19 4", - "Ġk n", - "id ent", - "ĠEx ternal", - "sh ip", - "for m", - "Ġh im", - "Ġb et", - "at t", - "Ġas s", - "ĠS he", - "in n", - "at ive", - "Ġ 7", - "i er", - "a j", - "1 8", - "ou se", - "in s", - "em b", - "Ġp r", - "it ies", - "us e", - "oll ow", - "in a", - "Ġ19 5", - "Ġw ould", - "Ġc o", - "an n", - "ĠT e", - "o ber", - "Ġe st", - "Ġwhe n", - "us ic", - "Ġag ain", - "l l", - "Ġc ent", - "Ġo p", - "Ġyear s", - "we en", - "er ies", - "c ed", - "Ġcon s", - "ro und", - "res ent", - "over n", - "at ing", - "Ġwhe re", - "Ġd uring", - "Ġre t", - "Ġm ore", - "Ġin d", - "ab l", - "Ġ1 7", - "Ġb o", - "iv ing", - "ra ph", - "ar ly", - "b um", - "d er", - "ĠJ oh", - "Ġs ub", - "a ir", - "Ġst ud", - "an y", - "Ġfor m", - "Ġs up", - "Ġ20 2", - "Ġg en", - "ĠTh is", - "Ġm e", - "ĠP l", - "Ġ qu", - "ĠC ount", - "ĠSt ates", - "Ġf ootball", - "Ġf ound", - "Ġ 8", - "ion al", - "oc k", - "ar l", - "Ġre le", - "Ġf l", - "c c", - "Ġs pec", - "en n", - "as h", - "Ġon ly", - "Ġbet ween", - "i am", - "ag ue", - "Ġf am", - "Ġb ir", - "Ġre l", - "re at", - "ĠF or", - "Ġse ason", - "p ro", - "Ġ Q", - "e at", - "ist ric", - "ĠA t", - "op ul", - "Ġs y", - "ĠN ational", - "ĠW ar", - "Ġ ed", - "ist ory", - "Ġar t", - "if ic", - "ĠS p", - "s on", - "ĠCom m", - "er man", - "ĠI s", - "Ġab out", - "ĠA ust", - "Ġth ree", - "ĠJoh n", - "\" .", - "Ġin ter", - "Ġm ost", - "ct or", - "f ore", - "ĠW orld", - "le y", - "ĠF ran", - "ĠP h", - "th s", - "ĠC on", - "Ġre m", - "Ġf ollow", - "Ġ 9", - "Ġm ade", - "Ġal bum", - "Ġl ater", - "Ġs ing", - "Ġth rough", - "iel d", - "in ist", - "un e", - "om en", - "Ġ end", - "Ġ1 0", - "iv er", - "iv ed", - "ĠB e", - "ers on", - "r on", - "Ġsec ond", - "Ġthe m", - "ro s", - "ĠB rit", - "ĠB l", - "og raph", - "Ġw rit", - "ĠM ay", - "an k", - "us s", - "Ġn um", - "Ġm ov", - "Ġthe re", - "Ġ19 3", - "Ġthe n", - "Ġd ire", - "m p", - "ĠC an", - "Ġde f", - "Ġus ed", - ". \"", - "ĠJ an", - "er m", - "ow er", - "es e", - "vel op", - "u res", - "he n", - "Ġrec ord", - "ar g", - "Ġin v", - "em ent", - "istric t", - "Ġt rans", - "os s", - "t en", - "Ġs o", - "er t", - "Ġm ed", - "e e", - "ar i", - "Ġ1 6", - "ar s", - "Ġs chool", - "Ġkn own", - "Ġs et", - "a i", - "ĠCount y", - "ĠA d", - "y s", - "\" ,", - "Ġ ent", - "Ġbec ame", - "2 00", - "Ġs uch", - "st it", - "Ġest abl", - "ĠO r", - "Ġ1 5", - "Ġa m", - "is m", - "ĠS outh", - "ĠG e", - "Ġpro v", - "c y", - "ur al", - "it s", - "Ġp h", - "Ġin c", - "ment s", - "Ġth an", - "ĠS chool", - "amp ion", - "tern ational", - "u ro", - "ĠG erman", - "ĠM e", - "a x", - "is e", - "Ġf our", - "p os", - "Ġ &", - "ĠN ov", - "Ġs eries", - "ĠJ u", - "Ġbe ing", - "Ġs ome", - "ur ch", - "Ġle ad", - "Ġ| -", - "Ġb l", - "Ġp opul", - "Ġ .", - "e ver", - "ĠW est", - "ut e", - "Ġc all", - "Ġs ong", - "ay s", - "Ġinclud ing", - "ot her", - "j ect", - "le t", - "et h", - "Ġgro up", - "Ġagain st", - "a e", - "Ġw ell", - "are er", - "Ġd o", - "i ke", - "Ġap pe", - "ĠP ol", - "ĠA fter", - "b orn", - "Ġde ath", - "ug ust", - "Ġac c", - "ar ri", - "Ġc ount", - "t y", - "Ġc re", - "ction s", - "ian s", - "ĠP r", - "u ary", - "ĠW h", - "am ed", - "pt ember", - "ĠAust ral", - "v en", - "st em", - "at her", - "t il", - "ĠY ork", - "ar n", - "ire d", - "ul l", - "b y", - "m y", - "er ed", - "r id", - "ver y", - "ut ion", - "e y", - "ĠA ugust", - "Ġbe fore", - "ĠBrit ish", - "Ġre ce", - "= \"", - "ĠO ct", - "el s", - "Ġ1 2", - "Ġad d", - "Ġwh ile", - "r ist", - "Ġs ur", - "ĠSe ptember", - "Ġs ign", - "Ġpol it", - "iv es", - "ĠMar ch", - "overn ment", - "00 0", - "Ġb ro", - "Ġde c", - "Ġsh ow", - "ĠC ent", - "a id", - "Ġoff ic", - "Ġbu ild", - "Ġde velop", - "Ġo per", - "ĠOct ober", - "olog y", - "Ġg o", - "el f", - "Ġfam ily", - "Ġun til", - "Ġc ap", - "le v", - "ĠM an", - "x t", - "Ġm usic", - "Ġm ay", - "pr il", - "iz ed", - "ow ever", - "ĠJ une", - "a u", - "r and", - "Ġo wn", - "f ess", - "Ġn o", - "Ġre p", - "ĠJan uary", - "ic a", - "Ġor ig", - "er y", - "Ġm ain", - "m ber", - "Ġm od", - "Ġh igh", - "ĠAs s", - "ĠJu ly", - "en g", - "ĠAl l", - "Ġbir ths", - "emb ers", - "ĠC ar", - "1 0", - "l ish", - "ist or", - "Ġch ar", - "Ġb oth", - "ĠN orth", - "Ġplay ed", - "olle ge", - "Ġm on", - "Ġman y", - "Ġnum ber", - "ot t", - "et s", - "ĠC o", - "ĠLe ague", - "Ġex p", - "om an", - "Ġn ame", - "ut h", - "ampion ship", - "ĠA pril", - "cent ury", - "ward s", - "Ġb ack", - "Ġ19 2", - "ant s", - "v ed", - "i ent", - "ĠCan ad", - "ĠE uro", - "it t", - "ĠSe e", - "Ġrele ased", - "ce mber", - "Ġe m", - "st ru", - "ĠG u", - "ain ed", - "ĠB o", - "en e", - "i or", - "p le", - "Ġg u", - "g ram", - "1 7", - "ĠE d", - "is c", - "Ġfor mer", - "ĠC ol", - "ĠNov ember", - "it al", - "Ġse ver", - "iss ion", - "ĠA m", - "ĠEng lish", - "Ġan n", - "Ġw on", - "i um", - "in es", - "e c", - "he s", - "port s", - "Ġdes ign", - "p or", - "ic ip", - "ce pt", - "ĠRe g", - "ĠW ill", - "ĠDe cember", - "Ġm at", - "ĠC ity", - "Ġ1 4", - "ra ct", - "ĠF l", - "aj or", - "Ġdes c", - "y l", - "ros s", - "Ġ1 3", - "Ġl ife", - "Ġare a", - "im es", - "ir d", - "Ġst art", - "ĠC al", - "ĠA f", - "Ġor gan", - "r is", - "duc ed", - "Ġop en", - "Ġf eat", - "are d", - "ĠSt ate", - "re t", - "f l", - "Ġg ame", - "ag es", - "Ġd if", - "v ent", - "res ident", - "Ġr un", - "k et", - "u es", - "Ġfilm s", - "l ed", - "ro p", - "Ġpro du", - "p art", - "Ġ1 1", - "ar m", - "et y", - "Ġm en", - "Ġ201 0", - "Ġcl ass", - "ograph y", - "Ġ2 1", - "y le", - "Ġex t", - "ap an", - "il t", - "eb ru", - "Ġs m", - "lev ision", - "ebru ary", - "Ġpubl ic", - "un g", - "ĠK ing", - "ĠI I", - "Ġst ate", - "Ġsy stem", - "ĠP ar", - "Ġl ong", - "Ġo b", - "ual ly", - "Ġd r", - "ar ch", - "ĠB ro", - "f ul", - "Ġf inal", - "Ġc areer", - "il it", - "n er", - "ĠH is", - "Ġs ame", - "ul ar", - "an c", - "a use", - "Ġcall ed", - "am b", - "vi ew", - "Ġfollow ing", - "ĠF ebruary", - "in c", - "z e", - "ov e", - "y n", - "Ġret urn", - "Ġf in", - "on y", - "Ġc ity", - "Ġw ill", - "iv ision", - "ĠEuro pe", - "ĠS w", - "a f", - "h ip", - "Ġch ild", - "r at", - "al es", - "ak ing", - "Ġsever al", - "Ġcomm un", - "ren ch", - "il ity", - "Ġw omen", - "re nt", - "oin t", - "ĠM ed", - "or ks", - "ĠJ apan", - "s p", - "an ge", - "ch n", - "ial ly", - "c om", - "c on", - "ure d", - "Ġl ist", - "Ġs uc", - "ĠGe or", - "p ed", - "Ġe arly", - "Ġa ir", - "ĠB ar", - "Ġcont in", - "Ġ '", - "Ġto wn", - "Ġcomp et", - "Ġcl ub", - "ĠE l", - "Ġm in", - "Ġres ult", - "h am", - "ib le", - "1 2", - "ĠA nd", - "ĠH ar", - "ĠH istory", - "is ed", - "al ly", - "Ġs ince", - "ic es", - "ain s", - "st er", - "19 9", - "ĠThe y", - "ĠP art", - "b o", - "r ing", - "Ġn ear", - "ang u", - "Ġn amed", - "Ġorig inal", - "end ed", - "u ed", - "ĠCh rist", - "at a", - "Ġhe ad", - "ĠA b", - "1 6", - "Ġb el", - "Ġdis c", - "Ġpl ace", - "ĠF rench", - "id ed", - "i ence", - "Ġ201 1", - "ĠRe p", - "Ġc ur", - "Ġbe gan", - "il le", - "Ġt it", - "Ġus e", - "iv al", - "an e", - "re en", - "Ġpro gram", - "ĠU S", - "Ġv ill", - "Ġm ember", - "Ġm embers", - "1 5", - "Ġp rom", - "Ġhe ld", - "Ġan y", - "Ġl and", - "ĠCom p", - "Ġb ased", - "ain t", - "ĠR es", - "ĠM c", - "Ġthe se", - "Ġcomp le", - "b le", - "Ġap p", - "m e", - "Ġsup port", - "oun c", - "ĠAf ric", - "al ity", - "Ġg overnment", - "r ight", - "Ġ200 8", - "ĠR uss", - "Ġm et", - "Ġ201 2", - "Ġw e", - "ĠR o", - "a ugh", - "Ġ19 0", - "ĠA ir", - "Ġestabl ished", - "i ous", - "Ġal ong", - "Ġe ff", - "t he", - "Ġ ,", - "ĠE ast", - "ĠCh ampionship", - "Ġdesc rib", - "T he", - "in ess", - "Ġen g", - "ition s", - "ĠC ollege", - "Ġp ass", - "ĠWill iam", - "ĠG en", - "an a", - "od e", - ". .", - "Ġd ist", - "pe ct", - "al th", - "ad em", - "Ġ200 9", - "Ġloc ated", - "ur g", - "u k", - "ĠThe re", - "at or", - "ical ly", - "ĠH er", - "or m", - "ac ed", - "Ġd id", - "Ġl aw", - "in o", - "Ġc ol", - "Ġo cc", - "Ġchar act", - "che s", - "f ord", - "ĠAr t", - "c ol", - "at s", - "i en", - "ubl ic", - "ĠP eople", - "Ġp os", - "Ġy ou", - "Ġ201 3", - "ond on", - "ĠN e", - "oci ation", - "ĠIt al", - "Ġ200 6", - "Ġ200 7", - "Ġh ouse", - "Ġe ach", - "t o", - "ĠH igh", - "ing ton", - "ore d", - "Ġ201 4", - "ro w", - "Ġ201 6", - "Ġserv ed", - "our t", - "ĠF ilm", - "Ġto ok", - "qu e", - "Ġs im", - "k y", - "Ġ X", - "1 4", - "ĠRe c", - "Ġb and", - "Ġt r", - "Ġst ation", - "Ġh ome", - "ĠD istrict", - "Ġb us", - "av ing", - "ĠS y", - "ĠIn ternational", - "Ġb orn", - "Ġg ames", - "Ġn ational", - "m ed", - "ly mp", - "i et", - "ĠA c", - "Ġin st", - "Ġ201 5", - "re w", - "er g", - "Ġpro fess", - "in ed", - "Ġ201 8", - "ight s", - "p s", - "Ġcomp any", - "Ġl ine", - "Ġp erson", - "1 3", - "ĠO lymp", - "Ġpopul ation", - "Ġm ajor", - "Ġ18 9", - "ac es", - "our n", - "Ġ20 20", - "ĠD av", - "ill ion", - "ĠL iving", - "ĠL ondon", - "Ġ201 7", - "ĠSe c", - "Ġs l", - "Ġb as", - "Ġj oin", - "Ġsm all", - "Ġle g", - "Ġloc al", - "ĠInd ian", - "ĠL a", - "ard s", - "Ġv ari", - "Ġrece ived", - "Ġde b", - "Ġev ent", - "Ġ2 5", - "Ġgen eral", - "Ġman ag", - "Ġpubl ished", - "Ġte levision", - "ĠC up", - "et t", - "Ġcent ury", - "ĠN ot", - "ilit ary", - "s ide", - "et er", - "Ġ3 0", - "at ure", - "Ġ201 9", - "Ġsing le", - "Ġbu ilt", - "ĠS up", - "Ġv i", - "ĠPh il", - "a ul", - "Ġd ue", - "Ġc ould", - "Ġv ers", - "ĠH owever", - "Ġ $", - "Ġap pro", - "ar ge", - "Ġw orld", - "Ġspec ies", - "ar a", - "Ġc olle", - "um n", - "Ġsuc cess", - "ie f", - "ounc il", - "Ġp o", - "v ers", - "Ġst r", - "in t", - "Ġa round", - "ord ing", - "if ied", - "ĠA ng", - "uth or", - "id es", - "at ely", - "om in", - "ĠG l", - "Ġo ld", - "Ġed uc", - "ĠT r", - "arri ed", - "ĠL ist", - "ĠN o", - "Ġt erm", - "is on", - "ro l", - "ĠC or", - "um mer", - "Ġa ge", - "ff ic", - "l ing", - "ĠT ra", - "ĠH ouse", - "Ġhe l", - "Ġal ign", - "Ġe p", - "ord s", - "e f", - "oc ial", - "ĠP ark", - "r ation", - "Ġp resent", - "ĠP re", - "Ġle ft", - "Ġl ast", - "Ġs ix", - "ĠE n", - "Ġh istory", - "Ġn ow", - "i od", - "a im", - "Ġs aid", - "ĠS an", - "Ġt y", - "Ġ200 0", - "Ġrep resent", - "re et", - "a us", - "id d", - "ra ft", - "t t", - "Ġd ied", - "Ġplay er", - "op h", - "Ġ 0", - "Ġre st", - "1 1", - "Ġc amp", - "iz ation", - "ĠD uring", - "Ġc ar", - "Ġl a", - "um b", - "angu age", - "Ġto p", - "ne y", - "Ġp ar", - "ĠB r", - "on es", - "Ġvill age", - "Ġwith in", - "ĠM ich", - "Ġd et", - "iv en", - "Ġst yle", - "Ġf ive", - "Ġ200 5", - "Ġt ri", - "Ġn orth", - "Ġsh ort", - "Ġ2 4", - "v an", - "ĠR oy", - "Ġor der", - "ide o", - "Ġ18 8", - "Ġd ay", - "in k", - "ĠD es", - "o ks", - "et her", - "u f", - "Ġdescrib ed", - "ak es", - "s c", - "ow s", - "ur ther", - "19 8", - "ent ly", - "Ġth ird", - "Ġbuild ing", - "al k", - "Ġinclud e", - "ĠR iver", - "Ġinclud ed", - "Ġp ost", - "um ent", - "Ġd own", - "ast er", - "if orn", - "ĠP er", - "Ġdif fer", - "d ay", - "he m", - "ĠA g", - "Ġchild ren", - "Ġre port", - "ur s", - "ĠEng land", - "c o", - "ĠCh ar", - "Ġ202 1", - "att le", - "Ġre f", - "vi ous", - "Ġre qu", - "ĠS ch", - "ĠA ct", - "n a", - "er a", - "feren ce", - "Ġbec ause", - "ke y", - "t ain", - "iforn ia", - "Ġad m", - "ĠB y", - "th ough", - "Ġann oun", - "Ġl arge", - "Ġcons id", - "iv ely", - "re g", - "ĠG ro", - "ĠM al", - "Ġs outh", - "g round", - "Ġs on", - "ĠAustral ia", - "Ġ200 4", - "ic o", - "Ġd em", - "rid ge", - "ri end", - "Ġd istrict", - "ĠCal ifornia", - "l er", - "col or", - "Ġst and", - "ĠP ort", - "ĠB ra", - "Ġm ark", - "ĠM on", - "os p", - ". ,", - "use um", - "ct ure", - "Ġar ch", - "Ġp ower", - "inn ing", - "Ġst at", - "Ġbo ok", - "uc k", - "od y", - "ĠY ou", - "ĠPart y", - "en cy", - "Ġl o", - "Ġdeath s", - "ri pt", - "Ġ202 2", - "Ġc rit", - "ad io", - "it er", - "part ment", - "land s", - "in ing", - "Ġw ar", - "con om", - "um an", - "Ġappe ar", - "Ġc or", - "ĠD em", - "Ġm ale", - "Ġl arg", - "k a", - "Ġis s", - "ĠR oman", - "re st", - "Ġ18 6", - "Ġj ust", - "ist er", - "Ġ2 2", - "Ġre pl", - "ĠB el", - "c er", - "al d", - "al f", - "Ġw ater", - "Ġserv ice", - "g ed", - "Ġper iod", - "Ġn on", - "Ġper form", - "Ġadd ition", - "n ess", - "Ġres p", - "v es", - "Ġk ill", - "am ent", - "oci ety", - "ĠA nt", - "Ġde p", - "ee k", - "Ġv is", - "he l", - "our s", - "e le", - "Ġre fer", - "ĠS m", - "a ff", - "er ing", - "ĠO ne", - "Ġmov ed", - "ĠA ward", - "en se", - "Ġc r", - "ĠE m", - "Ġdiffer ent", - "iz e", - "Ġcur rent", - "ĠAustral ian", - "Ġro und", - "Ġl ike", - "ot e", - "rib ut", - "5 0", - "ĠAr my", - "Ġ2 3", - "Ġinc re", - "om b", - "Ġm illion", - "Ġl ed", - "k i", - "l ine", - "ĠN or", - "p ar", - "Ġt rad", - "Ġbus iness", - "am a", - "ĠA cc", - "t al", - "av y", - "her n", - "ĠM inist", - "Ġan other", - "Ġth ose", - "o on", - "Ġh istor", - "ĠR ober", - "op s", - "o f", - "Ġsh ip", - "Ġ18 7", - "Ġe qu", - "Ġst ill", - "and er", - "Ġ if", - "Ġf ather", - "Ġ el", - "Ġf ield", - "Ġw est", - "ĠJ ames", - "Ġd el", - "ĠInd ia", - "Ġex per", - "Ġa uthor", - "i ber", - "ĠM or", - "ĠSt e", - "d e", - "ep end", - "Ġf ac", - "c hed", - "iv il", - "Ġact iv", - "Ġh and", - "Ġcomp os", - "ĠCh urch", - "ĠM usic", - "Ġbe st", - "ĠGen eral", - "ĠFran ce", - "Ġp ort", - "Ġk m", - "o x", - "Ġannoun ced", - "Ġin ternational", - "Ġdeb ut", - "stru ction", - "Ġtit le", - "Ġcount ry", - "d om", - "ĠQ u", - "Ġs old", - "Ġf em", - "ĠTh om", - "Ġw in", - "as es", - "Ġ200 3", - "v ille", - "Ġ( )", - "Ġestabl ish", - "ĠY ear", - "19 7", - "u el", - "Ġcharact er", - "Ġe ast", - "Ġpolit ic", - "ĠGeor ge", - "ĠD ivision", - "f ield", - "un icip", - "us h", - "Ġs ide", - "c ast", - "Ġp at", - "Ġd ra", - "b e", - "ĠRoy al", - "Ġc ult", - "ourn al", - "ĠA p", - "an ish", - "re ad", - "Ġn ov", - "Ġa v", - "g color", - "Ġpre vious", - "ĠM ount", - "g in", - "Ġm ake", - "ĠEurope an", - "Ġ very", - "ri es", - "a el", - "ĠQ ue", - "ĠP e", - "ort hern", - "Ġa ward", - "ĠCl ub", - "ĠCanad ian", - "Ġset t", - "ug g", - "ĠAc adem", - "Ġele ction", - "Ġpro ject", - "ip p", - "l in", - "le x", - "ĠP al", - "Ġam ong", - "m s", - "ap p", - "ab or", - "Ġw orks", - "ĠV al", - "ĠG r", - "Ġ2 6", - "ĠCanad a", - "Ġ200 2", - "ĠE le", - "i us", - "ĠR ich", - "Ġf r", - "al ign", - "Ġro le", - "g es", - "Ġpro duced", - "ĠW hen", - "w ork", - "ĠP aul", - "Ġf e", - "Ġm ag", - "pl oy", - "for man", - "Ġle vel", - "ĠB u", - "o ff", - "Ġof ten", - "ol ution", - "Ġa ff", - "Ġl ate", - "Ġs pe", - "Ġre ad", - "Ġw eb", - "a pe", - "ĠDav id", - "ĠC ouncil", - "Ġth ough", - "Ġinv ol", - "Ġre se", - "Ġb gcolor", - "ĠF ootball", - "Ġp e", - "Ġ199 0", - "it ar", - "st on", - "at ch", - "Ġwrit ten", - "Ġex pl", - "Ġ2 8", - "Ġ2 7", - "or ies", - "im ent", - "ĠL ou", - "Ġeng ine", - "Ġf ore", - "ĠH ol", - "Ġep is", - "ĠAss ociation", - "Ġ es", - "stit ute", - "Ġad v", - "b ack", - "Ġte chn", - "ac ks", - "Ġ200 1", - "ĠW ith", - "b an", - "ĠR ed", - "Ġstart ed", - "Ġev en", - "ĠD r", - "umn i", - "Ġyou ng", - "Ġp oss", - "Ġall ow", - "o le", - "em pt", - "Ġcl os", - "iv id", - "o e", - "ro te", - "Ġm arried", - "it or", - "Ġg rad", - "ĠR ail", - "v al", - "Ġc ame", - "Ġoffic ial", - "Ġin it", - "Ġc over", - "Ġim port", - "ĠP resident", - "Ġcre ated", - "ĠAmer ica", - "ou ther", - "Ġw ent", - "form ation", - "Ġg iven", - "Ġs ite", - "Ġto tal", - "ol ic", - "g y", - "ir c", - "ĠSt reet", - "al t", - "Ġst ru", - "Ġe very", - "ĠF irst", - "Ġt urn", - "outher n", - "Ġcommun ity", - "y a", - "ĠF rom", - "ĠS ing", - "er ation", - "w est", - "oin ted", - "ĠSt ud", - "3 0", - "Ġjoin ed", - "ra p", - "om et", - "Ġv al", - "Ġeff ect", - "ĠH istor", - "it te", - "ĠK h", - "Ġra il", - "ot s", - "Ġpolit ical", - "Ġch ang", - "Ġwork ed", - "Ġwh at", - "Ġp res", - "Ġcon c", - "i j", - "Ġvari ous", - "ir on", - "Ġf re", - "Ġdevelop ment", - "ag o", - "ber t", - "ĠS en", - "ree k", - "ĠT own", - "Ġcon f", - "pos ed", - "s ite", - "ĠT rans", - "b or", - "ir l", - "Ġpro cess", - "m a", - "Ġ1 00", - "Ġt w", - "Ġv ideo", - "e al", - "Ġprofess ional", - "Ġele ct", - "her s", - "Ġf act", - "Ġm ilitary", - "ĠS l", - "ac hed", - "' t", - "ĠUn ion", - "Ġvers ion", - "at ic", - "olog ical", - "at ri", - "ĠGerman y", - "op e", - "re am", - "ĠGro up", - "Ġm uch", - "s elf", - "Ġpro te", - "Ġprodu ction", - "Ġh aving", - "Ġne xt", - "Ġcomm on", - "Ġb re", - "Ġcl aim", - "Ġbec ome", - "Ġspec ial", - "Ġg r", - "h old", - "ĠM art", - "Ġs ent", - "ĠH en", - "Ġm iss", - "Ġh ost", - "ĠB er", - "og n", - "Ġs w", - "ĠJ e", - "h ib", - "ĠV ir", - "ĠM ary", - "ĠM ag", - "Ġ198 0", - "ĠS er", - "ĠRo ad", - "o or", - "Ġus ing", - "ĠW e", - "Ġp ri", - "ĠBl ack", - "ĠAr ch", - "Ġ [", - "Ġdire ct", - "Ġreturn ed", - "ĠMe x", - "19 6", - "Ġw rote", - "Ġint ro", - "ĠP ri", - "Ġs it", - "Ġp resident", - "Ġpr im", - "m en", - "Ġt em", - "ĠItal ian", - "ĠM y", - "ĠJapan ese", - "Ġ199 9", - "est s", - "Ġ2 9", - "Ġg l", - "ĠAfric an", - "in ation", - "ĠT ur", - "Ġpos ition", - "Ġmat ch", - "h a", - "Ġan t", - "ict ion", - "ĠL aw", - "Ġdire ctor", - "i ography", - "m ing", - "ĠH all", - "oin ts", - "Ġteam s", - "Ġt ake", - "ĠW omen", - "Ġm ult", - "Ġch urch", - "Ġsong s", - "fl u", - "ĠThe se", - "Ġopen ed", - "Ġper forman", - "B C", - "ct s", - "il ar", - "ĠComm un", - "ĠW ash", - "ĠPro v", - "ivid ual", - "Ġf ew", - "Ġev ents", - "id a", - "Ġf un", - "ell ow", - "ĠG ames", - "Ġbe h", - "se qu", - "ĠS am", - "ĠRober t", - "arl iam", - "Ġv ol", - "ak en", - "ib r", - "itt le", - "ĠRuss ian", - "ĠLe g", - "an i", - "ent ion", - "e ad", - "ĠCh ina", - "oc rat", - "u le", - "ĠB est", - "l o", - "arliam ent", - "ar ian", - "g er", - "C A", - "ĠSc ott", - "2 1", - "Ġt imes", - "t ra", - "Ġst ory", - "Ġs ol", - "ĠO ther", - "ec ut", - "Ġpart icip", - "Ġw ay", - "Ġv oc", - "Ġfootball ers", - "y ing", - "ri an", - "Ġalbum s", - "ĠAcc ording", - "augh ter", - "Ġbe g", - "Ġh ig", - "ĠM ad", - "est ed", - "ĠC ap", - "ĠPl ay", - "un t", - "Ġf riend", - "Ġ199 8", - "ĠWash ington", - "it z", - "ĠC ourt", - "n ing", - "ic le", - "Ġatt ack", - "ket ball", - "ĠM iss", - "Ġro ad", - "stit ut", - "our ces", - "itte e", - "il es", - "an ies", - "Ġim p", - "Ġadm inist", - "ĠC ast", - "Ġpopul ar", - "Ġbro ther", - "Ġne ed", - "Ġwith out", - "ĠComp any", - "is l", - "ĠC ont", - "ĠThom as", - "at ter", - "Ġserv ices", - "ra g", - "an ces", - "a ur", - "Ġreg ion", - "end ing", - "Ġp ract", - "ĠS erv", - "Ġstud ents", - "idd le", - "Ġs k", - "Ġs ocial", - "od es", - "ĠC ath", - "Ġt er", - "ĠM en", - "ers hip", - "ĠS al", - "e x", - "wo od", - "ĠK n", - "a ign", - "Ġh alf", - "Ġbro ad", - "y ear", - "2 2", - "Ġg reat", - "Ġf ull", - "r ated", - "Ġcontin ued", - "Ġ197 0", - "Ġl ost", - "ĠA wards", - "ĠKing dom", - "ain ing", - "ĠCent ral", - "ĠS ociety", - "ac y", - "c raft", - "Ġco ach", - "y m", - "Ġm id", - "ĠM ont", - "ĠG rand", - "Ġal umni", - "ĠO p", - "us ed", - "Ġeduc ation", - "ra b", - "Ġrese arch", - "are nt", - "Ġ199 6", - "Ġatt empt", - "Ġs qu", - "Ġd ays", - "is ing", - "Ġh owever", - "ĠI r", - "b urg", - "Ġse e", - "ĠCh in", - "ens us", - "ĠRec ords", - "Ġprom ot", - "ap er", - "ĠM useum", - "4 0", - "Ġcomple ted", - "on a", - "Ġpro duc", - "Ġele cted", - "Ġapp ointed", - "ĠA lex", - "at ors", - "ĠChar les", - "ill s", - "ĠFl or", - "Ġcom b", - "ĠIs land", - "Ġinv est", - "Ġind ust", - "Ġin f", - "Ġ ident", - "est ival", - "in i", - "ĠD on", - "cent er", - "Ġpart y", - "ĠM et", - "Ġfound ed", - "Ġcont rol", - "Ġdire cted", - "ĠE duc", - "ĠCent er", - "Ġrecord ed", - "ĠTe x", - "Ġl im", - "Ġa ver", - "ific ation", - "u it", - "Ġr ight", - "ĠI m", - "r d", - "Ġ199 7", - "Ġsign ed", - "ĠE arly", - "Ġw ife", - "Ġe conom", - "ĠS ummer", - "amp le", - "l ess", - "Ġp oints", - "ber g", - "Ġpro per", - "Ġle ague", - "w h", - "as ons", - "Ġgroup s", - "Ġare as", - "2 3", - "Ġre view", - "Ġ18 5", - "Ġ /", - "ĠDe partment", - "Ġb ase", - "n el", - "Ġconsid ered", - "ish ing", - "ĠS im", - "Ġcon ne", - "Ġra ce", - "r ay", - "ĠAng el", - "ĠWest ern", - "Ġ202 3", - "ĠO ffic", - "Ġp oint", - "ĠJ ew", - "pl ay", - "Ġh on", - "ĠC he", - "Ġpart ic", - "Ġse le", - "at ural", - "ĠFran c", - "Ġre n", - "Ġf ind", - "Ġf urther", - "ĠV ict", - "j e", - "Ġm ar", - "= #", - "ĠT o", - "Ġc oll", - "ĠT V", - "Ġrel ations", - "ĠIn stitute", - "Ġc aus", - "ar ies", - "Ġv ict", - "ĠG old", - "ĠAcadem y", - "ĠLou is", - "ell s", - "Ġsim ilar", - "ĠOlymp ics", - "il i", - "Ġde g", - "ĠB ay", - "th let", - "Ġh old", - "ĠMich ael", - "Ġind ividual", - "way s", - "Ġto g", - "Ġre al", - "Ġpr iv", - "ĠG reat", - "Ġvi ew", - "ĠM ac", - "Ġweb site", - "Ġ z", - "id ence", - "ĠZ eal", - "Ġt en", - "ĠP ress", - "Ġtog ether", - "Ġ199 5", - "u ation", - "um p", - "Ġrele ase", - "ra in", - "ĠP at", - "ĠC ong", - "ĠZeal and", - "Ġ199 2", - "ric k", - "Ġin flu", - "ot a", - "ĠVir gin", - "ĠV ol", - "Ġreport ed", - "ĠChrist ian", - "Ġc ase", - "Ġappe ared", - "ĠM us", - "ĠRep ublic", - "ĠM er", - "ĠU K", - "et work", - "Ġ199 4", - "| |", - "ar ter", - "ar th", - "Ġs ports", - "Ġoff ice", - "ĠSp anish", - "ĠChin ese", - "Ġm other", - "ou l", - "ed eral", - "ĠAfric a", - "Ġtra ck", - "ĠK ore", - "m ar", - "Ġw eek", - "2 5", - "Ġ3 1", - "c ks", - "ĠT om", - "Ġ5 0", - "Ġm y", - "Ġk e", - "i que", - "Ġme et", - "Ġnov el", - "Ġcon d", - "Ġbir th", - "Ġdevelop ed", - "en c", - "Ġform ed", - "Ġin s", - "Ġh ous", - "it ive", - "y d", - "ak er", - "Ġ196 0", - "it ing", - "Ġmed al", - "ĠB ur", - "Ġhel p", - "Ġa ut", - "ĠCar ol", - "Ġgu itar", - "ad es", - "Ġla un", - "Ġass ist", - "ĠB en", - "Ġph ot", - "ĠIn ter", - "ĠT er", - "ul a", - "k n", - "ĠD an", - "ap t", - "Ġwork ing", - "e h", - "du ction", - "Ġd oc", - "Ġar r", - "Ġm aking", - "Ġimport ant", - "Ġto urn", - "c le", - "ĠG reen", - "i ers", - "Ġarch ite", - "ĠH am", - "ĠTex as", - "ail ed", - "ud e", - "re land", - "Ġart ist", - "Ġc ast", - "ĠWh ite", - "ĠP et", - "Ġgro w", - "ed y", - "Ġm unicip", - "Ġap pl", - "Ġg ood", - "im ately", - "it ted", - "ĠWh ile", - "ĠD el", - "Ġv ot", - "b and", - "ĠP ublic", - "Ġof fer", - "t a", - "id ing", - "ĠK e", - "ĠB as", - "c ial", - "ĠS ports", - "g o", - "Ġl ess", - "Ġtrad ition", - "Ġschool s", - "m on", - "ert ain", - "ic les", - "ĠMinist er", - "r as", - "ĠJ ose", - "Ġl ive", - "id ae", - "al a", - "ĠC ons", - "Ġd ata", - "ro ll", - "one y", - "it her", - "Ġph ys", - "Ġf und", - "Ġ199 3", - "ĠDem ocrat", - "Ġty p", - "Ġother s", - "ens ive", - "Ġh uman", - "Ġsh ould", - "Ġd aughter", - "ol a", - "ĠT or", - "ab ly", - "epend ent", - "at ives", - "Ġem ploy", - "Ġro ck", - "Ġd i", - "Ġgro und", - "ĠP eter", - "osp ital", - "Ġre v", - "ĠFran k", - "Ġrec ogn", - "Ġm ater", - "Ġhim self", - "Ġst ar", - "overn or", - "all s", - "v iron", - "Ġbuild ings", - "Ġde cl", - "Ġ =", - "re y", - "ĠCath olic", - "ĠM el", - "ĠS ong", - "ut y", - "ĠRich ard", - "le g", - "Ġr ul", - ") :", - "Ġac ross", - "az ine", - "Ġav ail", - "Ġf ire", - "Ġcomp anies", - "ĠS ur", - "g en", - "h i", - "ic ation", - "ĠSw ed", - "19 5", - "al y", - "ĠB ill", - "Ġb ody", - "p ite", - "s y", - "en a", - "ate g", - "ol f", - "Ġan im", - "ant ed", - "Ġcamp aign", - "Ġst ations", - "and ing", - "at re", - "Ġl anguage", - "sh ire", - "m ost", - "ri a", - "Ġe ight", - "19 4", - "um e", - "Ġdo es", - "ĠW il", - "b our", - "Ġaver age", - "ĠM ass", - "ĠL u", - "ĠU p", - "ĠF ore", - "Ġm ot", - "Ġ199 1", - "ce ed", - "Ġbl ack", - "Ġqu al", - "Ġex ist", - "Ġbec om", - "ĠPar is", - "ĠSec ond", - "Ġplay ing", - "ut es", - "ric ket", - "o ice", - "ra el", - "ĠL at", - "Ġt ro", - "g ress", - "Ġmod ern", - "Ġl ow", - "ĠHen ry", - "em or", - "Ġdef e", - "ĠSup er", - "ĠVict or", - "he ast", - "19 3", - "Ġh ow", - "ĠS ant", - "Ġepis ode", - "Ġ18 4", - "Ġp aint", - "st ro", - "Ġc le", - "Ġ et", - "ĠC ro", - "Ġgrad u", - "o res", - "S t", - "z il", - "Ġst age", - "Ġd ivision", - "Ġd ram", - "Ġex ample", - "Ġd er", - "ĠGeor g", - "Ġc ross", - "em ents", - "Ġ4 0", - "w rit", - "ud d", - "Ġr adio", - "ad a", - "Ġne ver", - "Ġl iving", - "air s", - "ĠD ire", - "Ġperform ed", - "h ood", - "Ġf oc", - "ĠL os", - "Ġfem ale", - "emb ly", - "ch ie", - "oc key", - "and id", - "Ġw inn", - "eth od", - "ĠH on", - "Ġl ight", - "ĠS ome", - "Ġse par", - "Ġart ists", - "Ġbel ie", - "ĠRe v", - "Ġf ree", - "ĠSm ith", - "Ġpolitic ian", - "Ġac qu", - "ĠP enn", - "Ġass oci", - "w are", - "ĠOr der", - "Ġf ight", - "t ime", - "ur a", - "ent ial", - "Ġcont ract", - "ov iet", - "2 4", - "ĠChampionship s", - "ĠL ake", - "ĠB ut", - "ibr ary", - "ough t", - "Ġstr ong", - "ign ed", - "Ġsuccess ful", - "Ġmon ths", - "ĠF C", - "Ġre d", - "Ġkill ed", - "at ory", - "im ate", - "Ġfin ished", - "ĠEduc ation", - "av al", - "Ġpl aces", - "id ents", - "Ġcon struction", - "ĠCh ic", - "he ad", - "pe ople", - "k ed", - "ĠI reland", - "ĠO l", - "Ġg ave", - "Ġestablish ments", - "Ġ198 8", - "ĠC amp", - "Ġm us", - "av es", - "ĠG o", - "Ġavail able", - "ĠDe f", - "Ġcon du", - "Ġa way", - "Ġgo al", - "Ġ198 9", - "v a", - "Ġperforman ce", - "if f", - "ell ing", - "ĠO b", - "ĠS aint", - "Ġt re", - "Ġal though", - "id s", - "ĠP an", - "as c", - "ish op", - "Ġpro t", - "Ġbo oks", - "ran ch", - "il ities", - "viron ment", - "it a", - "ĠS pec", - "Ġj ournal", - "an o", - "Ġin formation", - "Ġ ide", - "ĠD ay", - "ad o", - "inal s", - "z a", - "ic ated", - "ĠFilm s", - "he re", - "ĠOlymp ic", - "Ġd am", - "ĠC ur", - "Ġt aken", - "ĠV ill", - "ĠW in", - "ĠNot es", - "le ft", - "ell a", - "Ġcap t", - "it ch", - "i qu", - "ĠBra zil", - "ĠIs rael", - "ĠD u", - "ific ant", - "Ġshow s", - "Ġfollow ed", - ", \"", - "Ġr ank", - "o o", - "Ġag re", - "ĠR ob", - "ĠC areer", - "Ġto ur", - "ug by", - "Ġc ost", - "Ġm ix", - "ĠVirgin ia", - "Ġhe alth", - "Ġfr ont", - "Ġj ud", - "om a", - "ĠG overnment", - "Ġinclud es", - "Ġaward ed", - "Ġc irc", - "ut ch", - "Ġtourn ament", - "Ġc our", - "ĠM a", - "ĠL ife", - "ĠM in", - "\" |", - "Ġfeat ures", - "ig an", - "Ġ :", - "ĠJ ust", - "I I", - "Ġvi ol", - "Ġoriginal ly", - "Ġdesign ed", - "s erv", - "ĠT our", - "ĠAt l", - "Ġhouse hold", - "ĠH ill", - "ag ed", - "nd er", - "n y", - "i os", - "Ġac cess", - "Ġmater ial", - "ĠTe am", - "Ġse ven", - "se c", - "Ġs en", - "ve y", - "Ġc ourt", - "ĠE mp", - "e g", - "ĠC arl", - "ĠIt s", - "ĠM r", - "Ġim pro", - "Ġp ut", - "om s", - "Ġc ivil", - "Ġrel ig", - "2 6", - "Ġrem ained", - "ĠP erson", - "ĠHistor ic", - "Ġs ound", - "ĠAr ts", - "Ġs il", - "ist an", - "Ġstud y", - "Ġl ab", - "en ed", - "ĠG all", - "ĠR ock", - "Ġon ce", - "ĠG ra", - "2 7", - "Ġfeat ured", - "Ġin j", - "Ġd ou", - "ĠRail way", - "er ous", - "ar ia", - "ĠS qu", - "Ġfor ces", - "atri ate", - "Ġsc ored", - "ĠL and", - "ur ity", - "Ġc y", - "Ġ ill", - "om m", - "Ġt est", - "Ġ #", - "Ġp ress", - "ac hes", - "Ġ198 7", - "ol k", - "Ġb ar", - "ĠChic ago", - "2 8", - "he st", - "it es", - "Ġmark et", - "Ġbas ketball", - "ip le", - "Ġde v", - "Ġre b", - "Ġsing er", - "Ġsign ificant", - "ĠM o", - "ach ing", - "ap s", - "il ies", - "Ġpl an", - "end er", - "Ġex ecut", - "r or", - "ĠS oviet", - "ic ations", - "re l", - "Ġlead ing", - "Ġtra ining", - "em s", - "ĠSc ot", - "v in", - "Ġpol ice", - "Ġmed ia", - "ĠFor ce", - "Ġe arn", - "ver t", - "ĠS ub", - "y e", - "ic y", - "Ġ195 0", - "ĠM il", - "C h", - "Ġm ount", - "Ġlarg est", - "Ġr ights", - "ĠS ir", - "ear ch", - "ĠComm ission", - "augh t", - "ĠT wo", - "ĠItal y", - "m ier", - "A mer", - "ĠS o", - "ĠPro fess", - "Ġ198 6", - "our ce", - "Ġm ust", - "Ġair craft", - "Ġst ri", - "ĠM od", - "Ġmod el", - "ut er", - "ĠMex ico", - "Ġ198 4", - "Ġch art", - "Ġen c", - "y p", - "Ġs em", - "ĠCl ass", - "ĠI ll", - "Ġthrough out", - "ĠPol it", - "Ġl iter", - "ist ics", - "ĠP arliament", - "Ġg old", - "Ġtrans fer", - "Ġcons ist", - "v ing", - "ĠS ince", - "ĠMar k", - "Ġinvol ved", - "Ġc ou", - "ĠC at", - "Ġlist ed", - "Ġsub sequ", - "ord er", - "Ġst ated", - "ien ces", - "Ġwh ite", - "ĠO ff", - "ĠAn n", - "Ġw id", - "un k", - "Ġbo ard", - "s el", - "Ġintro duced", - "Ġrepl aced", - "ĠIr ish", - "Ġs ugg", - "ann el", - "Ġe arl", - "Ġse en", - "Ġcompet ition", - "Ġb i", - "Ġ18 3", - "un s", - "ĠE r", - "ĠProv ince", - "ĠFlor ida", - "Ġc andid", - "Ġd iv", - "if t", - "6 0", - "2 9", - "Ġtrans l", - "ĠN avy", - "ĠM ur", - "Ġ198 5", - "Ġwrit er", - "Ġevent ually", - "Ġpriv ate", - "Ġv ia", - "Ġresp ons", - "rib ution", - "ut ure", - "ĠTe chn", - "Ġcrit ic", - "Ġresult s", - "Ġent ire", - "u ff", - "Ġvoc als", - "c her", - "Ġab le", - "u z", - "um m", - "ĠD o", - "te xt", - "Ġr an", - "Ġadd ed", - "ret ary", - "ĠAl though", - "Ġc ollege", - "ĠD en", - "Ġpro ble", - "ĠO per", - "ĠComm ittee", - "ĠF estival", - "Ġfour th", - "ĠS il", - "o ch", - "Ġp ast", - "Ġcount ries", - "ĠF in", - "as k", - "ĠB us", - "ro ad", - "A S", - "el t", - "ĠW ales", - "c ript", - "Ġw ind", - "ĠAngel es", - "y r", - "ĠO ver", - "Ġcent ral", - "Ġst e", - "Ġact ress", - "m b", - "uf act", - "Ġsur v", - "as ing", - "ul arly", - "Ġa ud", - "Ġwrit ers", - "u a", - "ian o", - "Ġcomm and", - "Ġass ociation", - "Ġle ast", - "m in", - "Ġres pect", - "i res", - "ĠBro wn", - "ĠE v", - "Ġl oss", - "yl van", - "Amer ican", - "Ġsp ace", - "por ary", - "Ġs er", - "A R", - "ĠSc ience", - "ĠO ut", - "mer cial", - "8 0", - "ĠN orthern", - "Ġun its", - "ĠM ost", - "ab ility", - "f ic", - "ĠR h", - "Ġn omin", - "ĠF ound", - "ĠSt ar", - "ĠRuss ia", - "Ġm inist", - "Ġs ch", - "b b", - "ok e", - "ĠU k", - "ĠG od", - "r up", - "Ġdeg ree", - "i ro", - "ĠCong ress", - "ĠCarol ina", - "Ġst aff", - "Ġdisc over", - "Ġ198 3", - "Ġr ange", - "Ġst ates", - "ib l", - "ĠAr g", - "ri al", - "Ġcl ose", - "ĠR os", - "Ġdoc ument", - "ra w", - "ĠJ un", - "Ġbroad cast", - "n ow", - "Ġf ig", - "Ġab ove", - "pl es", - "Ġre ached", - "med i", - "g ian", - "l or", - "Ġc ensus", - "ĠServ ice", - "st e", - "ant ic", - "Ġpl ant", - "ĠCol umb", - "ĠL iber", - "ĠE s", - "ĠC r", - "Ġch ange", - "erv e", - "T V", - "Ġprov ided", - "ĠJose ph", - "ĠO h", - "Ġse asons", - "Ġt reat", - "Ġcurrent ly", - "oy s", - "Ġex hib", - "ĠO ld", - "i ents", - "b ur", - "rough t", - "Ġg et", - "Ġcont ribut", - "Ġexp ress", - "ylvan ia", - "l im", - "Ġp ur", - "Ġe ither", - "Ġf av", - "Ġ( \"", - "Ġch ampionship", - "r ative", - "ĠS a", - "f ace", - "Ġtra vel", - "or por", - "Ġac cept", - "Ġpl aced", - "u x", - "sy ch", - "Ġmiss ing", - "Ġup on", - "ĠF re", - "al ed", - "F A", - "Ġrail way", - ") ;", - "bo ard", - "ĠS eries", - "Ġs aw", - "ad ium", - "Ġinter est", - "st ant", - "ian a", - "Ġstru ct", - "ĠC am", - "F L", - "ĠP ac", - "ab it", - "ist ic", - "ip l", - "Ġ198 2", - "Ġcent er", - "Ġm ur", - "w ell", - "Ġk ey", - "Ġ !", - "Ġa ction", - "ĠAss embly", - "a ut", - "ĠF ort", - "ĠD ou", - "Ġocc ur", - "ed s", - "Ġty pe", - "ĠM os", - "cept ion", - "Ġp ot", - "ĠM ic", - "kn own", - "p ly", - "is es", - "Ġc op", - "ĠF urther", - "ĠF ollow", - "Ġn ight", - "Ġa chie", - "ig er", - "g l", - "ĠS k", - "Ġd u", - "ĠR am", - "Ġatt ended", - "Ġ197 9", - "stit ution", - "Ġle arn", - "ĠM ill", - "Ġcharact ers", - "ĠB re", - "l anguage", - "ĠB attle", - "ĠA rab", - "Ġse x", - "ubl ican", - "ay ing", - "ĠM at", - "az z", - "Ġcap ital", - "p ress", - "ĠP opul", - "et te", - "Ġme as", - "Ġdec ided", - "ĠM ain", - "ĠW ood", - "Ġf if", - "l am", - "i h", - "ĠM ajor", - "ĠT ro", - "ele b", - "Ġar g", - "Ġdec ision", - ". )", - "ult ural", - "Ġprevious ly", - "Ġdra w", - "ĠRes earch", - "eng th", - "ar ily", - "ĠEmp ire", - "ĠG reek", - "ĠF red", - "ult ure", - "c a", - "Ġst re", - "Ġde stro", - "Ġne igh", - "Ġ197 2", - "Ġlead er", - "Ġh om", - "d en", - "ĠDemocrat ic", - "g r", - "Ġappro x", - "am ily", - "Ġstud io", - "Ġse ction", - "er o", - "Ġus ually", - "Ġme an", - "ĠPenn s", - "Ġ197 6", - "or ing", - "Ġm ass", - "ĠS ol", - "Ġdefe ated", - "ĠOffic ial", - "ĠH a", - "Ġsing les", - "and a", - "Ġed ition", - "ĠMart in", - "u an", - "ĠD utch", - "Ġre ve", - "Ġocc up", - "ow ers", - "st ra", - "re me", - "ĠC le", - "ĠS un", - "p ing", - "ĠFollow ing", - "Ġkn ow", - "Ġg rand", - "Ġn atural", - "Ġinst ead", - "Ġeff ort", - "ĠMed al", - "ĠJ im", - "ĠScott ish", - "Ġp ain", - "Ġpo et", - "Ġact or", - "Ġr iver", - "ĠSp ain", - "ch an", - "Ġf arm", - "Ġp arent", - "Ġacc ount", - "il s", - "ig a", - "ĠS ocial", - "ĠPenns ylvania", - "Ġb ur", - "B A", - "or a", - "Ġsub ject", - "st r", - "c el", - "c ell", - "Ġ198 1", - "Ġw inning", - "Ġproduc er", - "ĠG ar", - "inc ip", - "ans as", - "ĠM embers", - "Ġinvest ig", - "Ġwh ose", - "ult y", - "ult s", - "Ġm ethod", - "ĠW al", - "um ents", - "Ġpl ann", - "Ġ197 8", - "ĠL ove", - "Ġpart s", - "ĠIn c", - "Ġact ive", - "Ġ197 4", - "Ġrepresent ed", - "in ent", - "ĠM ilitary", - "Ġmov ement", - "at o", - "Ġg e", - "ĠH ow", - "Ġprim ary", - "Ġprov ide", - "ĠAs ian", - "Ġfam ilies", - "Ġcult ure", - "Ġ196 8", - "ĠP ak", - "w an", - "Ġrelations hip", - "Ġplay s", - "9 0", - "ĠL ater", - "ĠF inal", - "b ased", - "Ġf ar", - "Ġp ark", - "ĠR adio", - "Ġsc ient", - "Ġorgan iz", - "pt ion", - "Ġpr ison", - "ĠJ ud", - "Ġde al", - "ĠLe e", - "Ġp red", - "Ġn orthern", - "Ġ194 0", - "Ġs outhern", - "Ġbeh ind", - "Ġp urch", - "ĠE p", - "pos ition", - "r ig", - "Ġt ax", - "ĠH ot", - "cl us", - "ĠT w", - "ar io", - "Ġ197 5", - "ug u", - "ĠC ross", - "l a", - "ĠI ran", - "ĠYou ng", - "ig ital", - "Ġmus ical", - "ĠBu ild", - "ad y", - "ens ion", - "Ġs ize", - "y er", - "ĠC ivil", - "ĠCh ief", - "Ġb ank", - "Ġl ik", - "7 0", - "omet imes", - "Ġ197 7", - "se e", - "ri e", - "Ġl ower", - "ĠB ul", - "ing u", - "ĠBo ard", - "w er", - "ĠB et", - ".. .", - "Ġgo als", - "isc o", - "ĠS ar", - "ĠSp ace", - "Ġb rought", - "ĠP ost", - "Ġread ing", - "Ġco ast", - "Ġnew sp", - "ĠB ig", - "ĠB ase", - "erg y", - "Ġout side", - "ĠL oc", - "Ġac adem", - "ĠH el", - "Ġs us", - "s k", - "ĠS outhern", - "ĠReg ister", - "\" )", - "n ot", - "Ġp ers", - "Ġcolle ction", - "Ġh ard", - "Ġorgan ization", - "im b", - "ar ing", - "Ġc ut", - "Ġ i", - "ĠC D", - "end s", - "ĠH aw", - "Ġr ather", - "all ed", - "ĠB ack", - "ers ey", - "Ġ197 3", - "Ġf all", - "m ark", - "Ġclos ed", - "a o", - "Ġindust ry", - "Ġrun s", - "Ġwrit ing", - "al i", - "Ġn etwork", - "Ġg irl", - "Ġend ed", - "N A", - "Ġc ricket", - "ĠJ ack", - "Ġman ufact", - "Ġc are", - "h an", - "Ġdram a", - "Ġk ing", - "ĠL uc", - "or se", - "Ġfor ce", - "Ġsh ot", - "ir m", - "Ġfootball er", - "Ġ193 0", - "ĠAd m", - "it an", - "Ġsystem s", - "anc ial", - "p an", - "at i", - "pec ially", - "he t", - "aw a", - "ĠO x", - "I D", - "ĠEd ward", - "ĠEng ine", - "ct ive", - "Ġh it", - "ĠL ong", - "Ġes c", - "ul ation", - "oun ter", - "Ġposs ible", - "Ġw ood", - "Ġim m", - "ĠVal ley", - "ĠR el", - "Ġreg ard", - "ĠU nder", - "ĠT ri", - "Ġ194 5", - "Ġmat ches", - "m ond", - "Ġallow ed", - "Ġstud ies", - "ĠV er", - "ĠU r", - "ĠS pr", - "ĠT imes", - "Ġne g", - "Ġal most", - "it ors", - "ĠRep ublican", - "Ġreg ular", - "Ġ196 9", - "ven ue", - "id er", - "Ġstru cture", - "Ġst op", - "in ary", - "Ġ197 1", - "Ġmag azine", - "ĠJew ish", - "em ic", - "ur b", - "Ġchang ed", - "Ġcomm ission", - "Ġfre qu", - "c ient", - "enn is", - "ĠTe levision", - "in ated", - "l ike", - "ĠJ ul", - "ent h", - "Ġc at", - "ĠB ob", - "back ground", - "ĠP o", - "ĠB ank", - "Ġd en", - "ĠMich igan", - "Ġis land", - "c ing", - "Ġpl at", - "Ġsett le", - "Ġsch ol", - "ĠD isc", - "Ġlaun ched", - "Ġb all", - "ĠM ah", - "Ġoper ations", - "it iz", - "ĠC amb", - "air man", - "ov ers", - "Ġw oman", - "ĠPl aces", - "velop ment", - "Ġbeg inning", - "ac ing", - "Ġperson al", - "ĠJ er", - "ĠO s", - "Ġter rit", - "k o", - "Ġto wards", - "3 5", - "on n", - "Ġte xt", - "i as", - "Ġtrans port", - "ĠMc C", - "Ġgen us", - "ĠA thlet", - "Ġown ed", - "Ġdet erm", - "Ġt aking", - "Ġn ar", - "Ġf ood", - "ĠOp en", - "Ġmanag er", - "et ts", - "Ġacc ording", - "e es", - "Ġ196 7", - "Ġc ases", - "ĠT im", - "Ġm er", - "ĠH ung", - "ĠHe alth", - "ip s", - "y an", - "Ġn ames", - "ak a", - "Ġind ependent", - "Ġcon stru", - "Ġwh om", - "Ġp ay", - "us band", - "ĠV i", - "ly ing", - "Ġ196 4", - "ol s", - "Ġsc ience", - "Ġf a", - "Ġrem ov", - "Ġoffic er", - "Ġc red", - "ĠPhil ipp", - "Ġ )", - "ĠOh io", - "ĠB h", - "Ġsc ore", - "st ate", - "ĠK ent", - "Ġapprox imately", - "ĠIn f", - "Ġmin or", - "Ġv eh", - "ĠT op", - "Ġob serv", - "ĠL ine", - "ĠF r", - "7 5", - "ĠUn ivers", - "Ġcomp let", - "Ġbre ak", - "ĠR ou", - "im a", - "ĠPol and", - "Ġfun ction", - "ib ility", - "ĠJ o", - "b ury", - "ino is", - "Ġe ver", - "Ġsc reen", - "b on", - "Ġconc ern", - "Ġsp ent", - "Ġar my", - "ĠG al", - "ĠArg ent", - "Ġaddition al", - "ct ing", - "g a", - "pe cted", - "Ġsqu ad", - "Ġ6 0", - "ĠD is", - "o id", - "Ġph il", - "ĠII I", - "ĠA re", - "o ir", - "Ġnot ed", - "in et", - "ĠScot land", - "ĠM ot", - "ĠG h", - "Ġs elf", - "Ġob ject", - "en ced", - "Ġcomple x", - "Ġbo x", - "ir a", - "Ġc eleb", - "amp ions", - "ĠT re", - "ach us", - "ĠL ord", - "if y", - "w w", - "Ġiss ues", - "Ġcount y", - "ĠPol ish", - "Ġ19 20", - "os h", - "il ed", - "Ġch ief", - "ĠB or", - "en ces", - "Ġsen ior", - "es h", - "k ing", - "ĠQue en", - "Ġc he", - "Ġmon th", - "Ġb attle", - ": #", - "Ġcom mercial", - "ost on", - "Ġl ived", - "Ġs ummer", - "Ġele ctions", - "4 5", - "Ġits elf", - "Ġd ate", - "Ġmult iple", - "Ġrel ated", - "uf fer", - "ĠPac ific", - "Ġs at", - "read y", - "Ġpolitic ians", - "Ġfoc us", - "Ġhig hest", - "Ġro ute", - "ĠNew s", - "Ġso on", - "ĠM att", - "ĠJ r", - "ĠIll inois", - "Ġtradition al", - "d own", - "Ġto o", - "Ġl ittle", - "Ġf uture", - "Ġle t", - "Ġqu est", - "Ġes pecially", - "ĠDire ctor", - "Ġhig her", - "Ġopen ing", - "ay a", - "ard en", - "Ġsup er", - "Ġlo ok", - "ĠE nd", - "Ġ196 5", - "um s", - "Ġm oney", - "Ġc al", - "ac her", - "ĠO k", - "ĠBrit ain", - "Ġrequ ired", - "ĠRep resent", - "achus etts", - "f ect", - "Ġinter view", - "Ġun ion", - "ĠCon ference", - "ĠD i", - "ĠJ ersey", - "Ġ196 6", - "bur gh", - "em porary", - "ĠS and", - "ĠGeorg ia", - "Ġen vironment", - "r ich", - "ad or", - "Ġed itor", - "ct ic", - "ob al", - "Ġcont ains", - "Ġappear ance", - "ĠC y", - "ĠAs ia", - "Ġbel ow", - "Ġ18 0", - "k ins", - "Ġproper ty", - "Ġpri or", - "ĠG overnor", - "ĠA z", - "19 0", - "ĠC olle", - "ĠL ab", - "ĠMass achusetts", - "Ġvict ory", - "h ouse", - "Ġme ans", - "Ġsele cted", - "Ġent ered", - "ch ange", - "on se", - "ĠB oston", - "ĠF er", - "Ġstud ied", - "d s", - "Ġpro f", - "ig r", - "p ut", - "Ġh usband", - "ĠL o", - "ĠBo ok", - "Ġpract ice", - "ĠEast ern", - "S A", - "Ġe mer", - "Ġsur round", - "Ġloc ation", - "al ys", - "st anding", - "Ġex am", - "ut en", - "Ġassoci ated", - "emor ial", - "ĠTh at", - "Ġun it", - "ĠC O", - "ĠJ ournal", - "vent ion", - "Ġm ission", - "Ġstruct ures", - "Ġb ass", - "Ġr ad", - "ĠHe ad", - "Ġmur der", - "Ġtr ade", - "j a", - "Ġ3 5", - "Ġd on", - "w a", - "Ġprofess or", - "ĠL ibrary", - "ĠColumb ia", - "ĠB ang", - "Ġc ertain", - "Ġcent re", - "ĠJ ac", - "Ġstand ard", - "Ġship s", - "ĠG re", - "F C", - "Ġret ired", - "op er", - "Ġse at", - "Ġad op", - "Ġearl ier", - "ĠPr ince", - "Ġar ran", - "Ġ ens", - "3 3", - "i i", - "Ġrun ning", - "Ġmanag ement", - "ĠM ore", - "Ġ er", - "Ġbecom ing", - "Ġd om", - "ĠJe an", - "Ġde partment", - "ĠG ame", - "w ith", - "ĠF ield", - "Ġstud ent", - "ry ing", - "Ġ194 4", - "ĠM P", - "Ġactiv ities", - "t ained", - "Ġso ft", - "Ġt rib", - "ĠThe atre", - "ĠJ ones", - "Ġclub s", - "Ġcom e", - "ĠWilliam s", - "Ġl ength", - "an ks", - "Ġem b", - "Ġmunicip ality", - "il a", - "Ġleg al", - "and ed", - "i y", - "al le", - "Ġcoll abor", - "ĠSt an", - "ail s", - "ig g", - "ĠDe velopment", - "Ġmed ical", - "Ġact ors", - "Ġs uffer", - "Ġcom edy", - "arri age", - "in em", - "N E", - "ĠM iddle", - "gy pt", - "ian ce", - "Ġleg isl", - "Ġinit ially", - "om y", - "ĠW eb", - "Ġqu arter", - "Ġcaus ed", - "9 9", - "ĠM any", - "Ġal ready", - "ad el", - "Ġs ometimes", - "Ġp ie", - "s en", - "b re", - "ĠS oc", - "Ġp en", - "Ġth us", - "Ġtra in", - "ĠCo ast", - "ĠFranc isco", - "ĠE conom", - "ĠV an", - "Ġdestro y", - "Ġmov e", - "Ġoper ated", - "et ic", - "ĠI f", - "Ġfeat ure", - "ĠB ow", - "ĠH ong", - "Ġgeneral ly", - "ĠSt ep", - "ĠK ong", - "Ġar rest", - "Ġfore st", - "Ġincre ased", - "Ġequ ip", - "ĠD et", - "ĠS at", - "Ġold er", - "Ġh ockey", - "Ġl ove", - "ĠK ar", - "ĠW ater", - "ant ry", - "Ġcour se", - "Ġw ide", - "ĠOr gan", - "tra ck", - "Ġwest ern", - "ĠM u", - "ĠW ind", - "sp an", - "Ġnum erous", - "ĠAl bert", - "am m", - "ĠBl ue", - "Ġcon v", - "Ġus es", - "Ġcompet ed", - "n o", - "Ġc ouncil", - "Ġnew s", - "Ġra p", - "ĠMan ag", - "Ġg ra", - "Ġann ual", - "Ġdif fic", - "a res", - "ee ks", - "Ġs af", - "ĠF ed", - "is ation", - "ĠJohn son", - "ĠP res", - "Ġ196 3", - "Ġchang es", - "ĠCons erv", - "and s", - "k en", - "Ġv ir", - "ĠE ll", - "ĠD ie", - "ĠM id", - "ĠCh ild", - "on ia", - "ĠPerson al", - "ĠSy stem", - "el a", - "Ġmajor ity", - "og rap", - "Ġs u", - "ĠDe ath", - "ill a", - "Ġterm s", - "Ġserv ing", - "ĠB C", - "ĠCent re", - "ri ef", - "Ġiss ue", - "ul pt", - "Ġf ederal", - "ĠA k", - "att al", - "stit u", - "Ġab s", - "ĠB iography", - "Ġant i", - "ad d", - "Ġind ic", - "ple ment", - "Ġperson nel", - "Ġbet ter", - "Ġcol on", - "Ġun iversity", - "ab eth", - "ĠBro ad", - "Ġ196 2", - "ul f", - "Ġth reat", - "ĠSer b", - "el le", - "Ġrelig ious", - "ĠA ri", - "Ġse a", - "p re", - "Ġc ust", - "Ġs ister", - "ĠT ime", - "ĠE gypt", - "I n", - "ĠB al", - "Ġke ep", - "it ation", - "ĠOx ford", - "ak h", - "ĠB ir", - "ĠSt ation", - "ĠT em", - "Ġpro b", - "ĠG ood", - "ĠTrans port", - "ĠOff ice", - "A C", - "ĠIn t", - "ĠW rit", - "Ġd rop", - "Ġlin es", - "ĠS pe", - "Ġpass ed", - "ĠH ome", - "ĠT am", - "as y", - "ĠAd am", - "Ġd ed", - "ĠSpec ial", - "Ġl ack", - "ĠIs lam", - "ĠW ild", - "Ġacc om", - "che n", - "ĠAlex ander", - "ĠL ittle", - "ĠTra ck", - "t ies", - "ĠComm on", - "Ġh ot", - "Ġexp atriate", - "Ġthough t", - "Ġor d", - "ĠSwed ish", - "man n", - "art ers", - "Ġoffic ers", - "ĠF our", - "ie uten", - "ĠL y", - "ir it", - "is her", - "ce an", - "Ġrecord ing", - "Ġclaim ed", - "Ġh um", - "Ġfor ced", - "ur ban", - "ĠU l", - "Ġprogram s", - "9 5", - "ĠM ax", - "Ġeconom ic", - "Ġstat us", - "Ġdisc uss", - "Ġ4 5", - "ĠK en", - "w ar", - "ĠFound ation", - "Ġn ine", - "Ġinst r", - "Ġlim ited", - "un n", - "orpor ated", - "; \"", - "Ġm useum", - "a ction", - "Ġsupport ed", - "it age", - "Ġim medi", - "ĠB ern", - "Ġ194 2", - "Ġmin utes", - "ĠSen ate", - "Ġcomple te", - "Ġp il", - "acks on", - "ub e", - "Ġcre ate", - "b l", - "Ġgen er", - "ĠCor ps", - "Ġover all", - "Ġh ours", - "Ġsubsequ ently", - "h ire", - "Ġsh oot", - "Ġpresent ed", - "Ġb ene", - "8 8", - "Ġmeet ing", - "ĠThe ir", - "ph y", - "ĠEn ter", - "ĠLat in", - "Ġrem ains", - "ĠF ar", - "ĠGall ery", - "ĠC ard", - "ĠR ay", - "Ġ194 8", - "ro wn", - "Ġ ice", - "ing er", - "ĠAd d", - "ig inal", - "ĠAnd rew", - "Ġdes cent", - "Ġra ised", - "uc le", - "Ġearn ed", - "Ġin stitut", - "v is", - "Ġl ic", - "Ġocc as", - "ĠB ibl", - "A T", - "Ġbel ong", - "ct ors", - "Ġev idence", - "n am", - "Ġcommun ities", - "ĠA sh", - "Ġch all", - "ĠVictor ia", - "Ġgo ing", - "Ġ194 3", - "ĠO f", - "ĠF I", - "3 6", - "iz ing", - "Ġplat form", - "Ġmost ly", - "un a", - "ap ers", - "Ġ195 6", - "Ġj ob", - "ĠC reek", - "is k", - "Ġ196 1", - "ĠSe a", - "Ġhistor ical", - "u ge", - "um ber", - "Ġw eeks", - "Ġal tern", - "m i", - "Ġf le", - "Ġappear ances", - "ĠEl iz", - "Ġse qu", - "w ide", - "at ers", - "ĠSy d", - "ĠBer lin", - "ail y", - "Ġ6 5", - "ĠM inn", - "ur t", - "ĠDe v", - "Ġresp onse", - "ĠS und", - "ĠCor por", - "ĠT y", - "Ġg ive", - "4 7", - "Ġs om", - "ĠJ ackson", - "A F", - "ze ch", - "ieuten ant", - "Ġper cent", - "ĠC orn", - "ĠKore an", - "Ġpro p", - "Ġb ound", - "Ġsh own", - "Ġar m", - "ĠC op", - "Ġin sp", - "w in", - "im s", - "Ġcon cept", - "Ġ195 8", - "ir ing", - "Ġo pt", - "B S", - "Ġreg ional", - "ĠDan iel", - "Ġpartic ularly", - "Ġinc ome", - "g u", - "ĠAl bum", - "ĠW eek", - "Ġacqu ired", - "Ġparent s", - "Ġfore ign", - "ĠR aj", - "Ġb omb", - "ĠSec retary", - "ĠEle ct", - "ĠIs lands", - "Ġm ention", - "Ġpol icy", - "Ġy outh", - "ĠN ight", - "im um", - "ont o", - "Ġc ell", - "alys is", - "Ġ195 9", - "ste in", - "Ġm iddle", - "enc ies", - "3 8", - "che ster", - "Ġdis e", - "re m", - "Ġrecord s", - "ent y", - "ĠPol ice", - "Ġin n", - "Ġt akes", - "os oph", - "4 8", - "Ġlong er", - "ĠB BC", - "Ġl os", - "Ġg ot", - "Ġhel ped", - "ell ed", - "Ġpartic ular", - "Ġf ailed", - "ri ed", - "Ġappe ars", - "ĠG irl", - "Ġ ver", - "Ġpromot ed", - "ĠDes pite", - "Ġa wards", - "on ic", - "Ġpr incip", - "Ġst ep", - "Ġ194 6", - "ĠTh ree", - "ent al", - "st one", - "Ġfam ous", - "Ġbl ock", - "ĠKore a", - "Ġrem ain", - "out heast", - "Ġthe ory", - "ĠR od", - "olog ist", - "Ġin te", - "ag n", - "Ġv ote", - "Ġfin ancial", - "Ġorganiz ations", - "ak ers", - "Ġle aving", - "ĠAt t", - "Ġtra cks", - "ĠM ov", - "ĠR og", - "Ġeast ern", - "o z", - "led ge", - "Ġg overn", - "Ġbase ball", - "ĠB i", - "Ġp sych", - "Ġ194 1", - "Ġm em", - "ĠW ork", - "Ġtechn ology", - "Ġ3 2", - "Ġen ergy", - "v ement", - "cl ass", - "om er", - "Ġsc hed", - "Ġv on", - "if ying", - "Ġm ach", - "y o", - "Ġcompos ed", - "ron ze", - "Ġh app", - "4 6", - "Ġrefer red", - "b ers", - "ĠW all", - "ĠT ax", - "ĠReg iment", - "Ġspec ific", - "Ġcre w", - "ĠSyd ney", - "ĠF amily", - "3 7", - "Ġqu ick", - "em et", - "ĠH ospital", - "Ġincre ase", - "c ul", - "ĠM unicip", - "ĠK enn", - "Ġc itiz", - "Ġbelie ved", - "Ġrem aining", - "Ġw ord", - "ĠC oll", - "ĠSh ow", - "Ġprov ince", - "Ġc ateg", - "Ġlarg er", - "ĠJ oe", - "Ġhous es", - "ĠCh arl", - "rop ol", - "ĠV iet", - "ĠC zech", - "te en", - "Ġh ospital", - "v est", - "c an", - "Ġc arried", - "ĠO tt", - "ĠL im", - "Ġ eth", - "T h", - "ĠV en", - "ric e", - "il ly", - "ou ri", - "ĠBus iness", - "Ġam ount", - "Ġl atter", - "ĠH y", - "ĠW ay", - "Ġtro ops", - "ĠF ederal", - "th ur", - "istric ts", - "Ġ195 7", - "Ġd iss", - "Ġ193 9", - "C C", - "Ġ( ),", - "ĠAr m", - "Ġstart ing", - "ĠTur k", - "Ġarchite ct", - "ov a", - "ĠP en", - "9 6", - "Ġ194 7", - "sel ves", - "ment ary", - "im ated", - "Ġthem selves", - "Ġl ay", - "Ġb rand", - "ĠQue ens", - "ĠD er", - "Ġt arg", - "l av", - "rup t", - "Ġpro posed", - "Ġch arg", - "Ġn orm", - "9 8", - "Ġfor t", - "ut s", - "Ġro om", - "Ġb ring", - "Ġepis odes", - "Ġn ative", - "ĠR et", - "Ġc er", - "Ġ195 2", - "Ġr ate", - "ĠFor m", - "ĠB oth", - "ĠO nt", - "Ġindividual s", - "ĠW orks", - "ĠB and", - "eng er", - "Ġgradu ated", - "Ġassist ant", - "Ġ3 6", - "m ore", - "e ch", - "ut t", - "ur ies", - "Ġp ra", - "Ġl og", - "ĠB ab", - "Ġwinn er", - "Ġform s", - "Ġcult ural", - "p ose", - "Ġde part", - "ĠPri ze", - "Ġ195 5", - "Ġc ities", - "itt ing", - "Ġsur face", - "Ġc hem", - "he w", - "ĠPr ime", - "j i", - "Ġoffer ed", - "ĠE arth", - "ĠJ on", - "Ġv en", - "a is", - "Ġdel iver", - "ph ia", - "ĠCol or", - "Ġm erg", - "er b", - "Ġhe avy", - "ĠB oy", - "ĠTown ship", - "ĠT ay", - "ous ly", - "ĠT od", - "es ota", - "Ġexecut ive", - "Ġon line", - "ed d", - "9 7", - "Ġs pl", - "Ġpre vent", - "ĠJe ff", - "ĠBo oks", - "Ġm arriage", - "Ġmean ing", - "ĠPre mier", - "angu ages", - "A r", - "Ġad j", - "/ /", - "Ġt able", - "enn es", - "ĠL es", - "ĠRou te", - "Ġnewsp aper", - "ĠN ether", - "ĠM ir", - "ĠMinist ry", - "Ġsepar ate", - "Ġs ociety", - "Ġd yn", - "vers e", - "Ġcons ists", - "ound s", - "ell ig", - "ĠS em", - "ĠD ist", - "Ġfif th", - "c i", - "ion e", - "ĠNot able", - "per or", - "ĠEliz abeth", - "ou ra", - "Ġb ridge", - "ĠJ es", - "ĠB ell", - "Ġpe ak", - "ĠE st", - "ic ted", - "ĠAnt on", - "I S", - "Ġto day", - "ĠMinn esota", - "ro vers", - "Ġsuc ceed", - "Ġ ess", - "ĠB ol", - "adel phia", - "Ġexper ience", - "ĠBase ball", - "ran e", - "Ġf ail", - "Ġserv e", - "f it", - "ĠP ubl", - "Ġcond itions", - "Ġvari ety", - "ĠJust ice", - "Ġcomp l", - "Ġb rief", - "it ude", - "Ġf oot", - "h y", - "ĠTor onto", - "Ġlab el", - "Ġtransfer red", - "k er", - "u ated", - "3 4", - "Ġtem per", - "ess ion", - "Ġcandid ate", - "Ġb order", - "m as", - "Ġs ource", - "ĠH uman", - "ron ic", - "ic ine", - "ĠOnt ario", - "Ġhousehold s", - "res p", - "Ġpart n", - "ran ce", - "Ġmain ly", - "Ġmov ie", - "al og", - "ĠSqu ad", - "ĠSup reme", - "Ġalong side", - "ĠH ind", - "ĠA ut", - "z y", - "ĠM ike", - "Ġdes pite", - ": //", - "ĠCh ap", - "Ġsc ulpt", - "Ġrequ ire", - "ĠL em", - "in ct", - "Ġal ways", - "ĠS om", - "a ult", - "ĠReg ion", - "ĠB ad", - "ĠB orn", - "ĠL ew", - "ĠL ight", - "ĠN ations", - "ĠT ok", - "ĠB a", - "ĠSong s", - "ric s", - "Ġpart ies", - "we ight", - "e v", - "Ġ194 9", - "Ġ195 4", - "u ing", - "Ġoper ation", - "Ġiss ued", - "Ġdou ble", - "ic ks", - "ĠPro gram", - "Ġ( ,", - "ĠI d", - "an th", - "ĠW el", - "attal ion", - "Ġpo or", - "b it", - "n es", - "3 1", - "ĠAn other", - "Ġext ended", - "sec ut", - "Ġb r", - "Ġdem on", - "ort heast", - "Ġme chan", - "ĠAn th", - "Ġpl ans", - "Ġf ace", - "ĠD un", - "Ġprov ides", - "ĠC E", - "ĠA ff", - "Ġsold iers", - "Ġm akes", - "Ġart icle", - "Ġturn ed", - "Ġinflu ence", - "R A", - "Ġ8 0", - "Ġdef eat", - "Ġrespons ible", - "Ġsil ver", - "bour ne", - "Ġd one", - "Ġro w", - "Ġj un", - "Ġs n", - "ĠHar ris", - "Ġ195 3", - "ĠA h", - "Ġarr ived", - "ra ine", - "ĠStep hen", - "er land", - "ill ed", - "Ġfeat uring", - "ĠB rad", - "Ġh ar", - "ĠMex ican", - "Ġdiffic ult", - "ĠPhil adelphia", - "w orth", - "ĠSt adium", - "Ġr ugby", - "che stra", - "os a", - "Ġst ories", - "Ġnear by", - "8 5", - "Ġm aster", - "Ġspe ed", - "ons in", - "Ġun ivers", - "Ġex cept", - "Ġa thlet", - "pt on", - "ĠSt at", - "ĠAir port", - "ĠA v", - "Ġcap ac", - "ĠCh art", - "l ers", - "Ġc orn", - "Ġhon or", - "ĠPak istan", - "om ot", - "isc onsin", - "ĠT ai", - "av en", - "ri f", - "writ er", - "b ass", - "ĠSant a", - "ĠNether lands", - "Ġparticip ated", - "Ġo il", - "ag on", - "Ġres idents", - "at ively", - "ĠC rit", - "Ġ7 0", - "Ġs aying", - "m ission", - "Ġwinn ers", - "av a", - "Ġmanag ed", - "Ġst ay", - "Ġf ellow", - "e ction", - "Ġadminist rative", - "ĠK ir", - "ĠD am", - "l ight", - "ob ile", - "Ġelect ric", - "p on", - "Ġorig in", - "b a", - "Ġcon stitu", - "ĠMed ia", - "Ġdiscover ed", - "Ġm ight", - "um ed", - "und red", - "Ġcover ed", - "rop ical", - "ĠRev olution", - "ĠProfess or", - "ĠBr ig", - "Ġren amed", - "Ġs urn", - "n s", - "or g", - "ĠInd ones", - "Ġback ground", - "Ġmunicip al", - "8 6", - "ĠW isconsin", - "Ġlik ely", - "ĠH o", - "Ġcont ra", - "d is", - "ĠCh ris", - "Ġin h", - "ĠA venue", - "Ġrec ent", - "ĠGu ard", - "Ġmusic ians", - "ĠPe ak", - "ĠR ome", - "Ġ195 1", - "Ġpar ish", - "4 4", - "Ġele ments", - "ĠC ub", - "Ġto ld", - "ig en", - "ran ge", - "qu arters", - "ac hel", - "Ġv an", - "an cy", - "Ġas ked", - "Ġg un", - "Ġ +", - "igh ter", - "Ġconstru cted", - "Ġcon fl", - "ĠPr im", - "Ġproble ms", - "ĠTechn ology", - "ĠK im", - "Ġ ult", - "Ġfinal ly", - "ow a", - "7 6", - "ĠS us", - "Ġhe art", - "ĠS her", - "Ġle ave", - "Ġo ur", - "oc ks", - "est abl", - "Ġn ature", - "emet ery", - "Ġneigh bor", - "ir med", - "ĠP ers", - "ke e", - "Ġpro gress", - "Ġprodu cts", - "ĠMus lim", - "ĠCamb ridge", - "ĠL i", - "Ġth r", - "Ġp ick", - "ctor al", - "we gian", - "Ġhe re", - "or ation", - "ĠInd ust", - "ot o", - "Ġimp act", - "Ġnear ly", - "ĠFore st", - "Ġdr ug", - "Ġp aper", - "ĠDu ke", - "ĠB ishop", - "Ġc ause", - "5 5", - "Ġp age", - "Ġen ough", - "Ġp ath", - "g ing", - "Ġw anted", - "ĠL ady", - "Ġsub s", - "m et", - "Ġde ad", - "am ber", - "Ġmedal ists", - "w ick", - "ĠSl ov", - "per ial", - "ĠLeg isl", - "r im", - "Ġreve aled", - "ap ed", - "Ġarchite cture", - "ĠEx p", - "ĠP u", - "Ġra ces", - "ric t", - "ĠC a", - "Ġne cess", - "Ġch ampion", - "Ġsec urity", - "n ic", - "s s", - "ĠCommun ity", - "ist ance", - "Ġdirect ly", - "ens ity", - "Ġsol o", - "ĠSt r", - "g et", - "Ġv oice", - "ĠWil son", - "3 2", - "Ġp it", - "epend ence", - "ins on", - "ĠPro ject", - "Ġadd ress", - "Ġsus p", - "ĠS ab", - "ĠP ower", - "orn ing", - "ĠAdm inist", - "Ġl ives", - "Ġan cient", - "Ġlead ers", - "Ġ193 6", - "Ġminist er", - "ĠCorpor ation", - "Ġoffic ially", - "Ġincre asing", - "Ġcy cl", - "Ġproject s", - "ĠCol on", - "ĠMed ical", - "ĠMar g", - "L e", - "l iving", - "Ġdis play", - "Ġprim arily", - "Ġr ural", - "ad ing", - "ĠBar b", - "Ġadminist ration", - "en ge", - "9 4", - "van ced", - "ou d", - "Ġcondu cted", - "Ġinit i", - "Ġfriend s", - "Ġlevel s", - "ĠH ay", - "ang a", - "roll ed", - "Ġpos itive", - "en ing", - "Ġs port", - "Ġmount ain", - "ens is", - "e cted", - "ĠD ar", - "ĠNor wegian", - "Ġc ard", - "ĠSwed en", - "S S", - "ĠF air", - "Ġch ap", - "ĠI ra", - "in ity", - "Ġl y", - "i at", - "ĠM oh", - "ĠF ire", - "ĠL t", - "Ġinit ial", - "yd ro", - "ĠV ideo", - "ĠSh ort", - "ul ly", - "Ġacadem ic", - "ĠIndian a", - "ĠGold en", - "uc ky", - "Ġp an", - "ĠF le", - "Ġ9 0", - "e en", - "Ġp p", - "ĠMount ain", - "ĠW inn", - "Ġf irm", - "ĠM un", - "ak i", - "Ġch annel", - "Ġdis p", - "ĠBibl iography", - "Ġs ources", - "Ġrepl ace", - "bo ok", - "ĠWin ter", - "Ġwho le", - "ĠAr thur", - "Ġlist ing", - "Ġwork ers", - "Ġ193 8", - "ĠSc iences", - "Ġlet ter", - "cript ion", - "Ġnum bers", - "ĠR ad", - "ribut ed", - "ĠN iger", - "Ġconsid er", - "ĠAl f", - "ĠPl ace", - "Ġm ic", - "Ġval ue", - "ĠDes ign", - "ĠRe view", - "ĠB udd", - "Ġde ep", - "ĠS u", - "L A", - "Ġlaw s", - "ur ches", - "ĠH u", - "em y", - "ed om", - "ĠK ansas", - "ant a", - "ĠAl so", - "Ġliter ature", - "Ġwhe ther", - "Ġremov ed", - "th ing", - "ĠL ive", - "Ġ19 18", - "g al", - "he im", - "Ġs al", - "ĠMar ia", - "Ġwith d", - "A l", - "Ġded icated", - "el d", - "i est", - "ĠGe ography", - "ĠCap tain", - "ĠU s", - "port un", - "ert o", - "ĠDe p", - "Ġsy n", - "Ġg rew", - "ony m", - "Ġd omin", - "Ġw ords", - "ĠBar on", - "F F", - "Ġplann ed", - "ĠPopul ated", - "ĠPolit ical", - "r ical", - "Ġst ars", - "ĠJun ior", - "ĠRes ults", - "7 8", - "Ġnot able", - "Ġeffect s", - "ĠUS A", - "Ġsh are", - "je cted", - "ĠU t", - "Ġk ind", - "it ter", - "e z", - "ic ed", - "Ġr ule", - "ĠMiss ouri", - "p resent", - "Ġd ark", - "E C", - "Ġcomp uter", - "Ġp iano", - "Ġorder ed", - "ĠTay lor", - "Ġreg ist", - "Ġsettle ment", - "ath an", - "ĠM aster", - "resp ond", - "ĠH an", - "Ġprom inent", - "ik a", - "M A", - "Ġsp read", - "ĠR ugby", - "Ġcontin ue", - "ĠB ridge", - "is hes", - "ĠP it", - "ĠColor ado", - "reg on", - "y al", - "Ġrec over", - "ab les", - "rest ling", - "Ġref le", - "ĠFranc is", - "Ġun s", - "res h", - "se x", - "ell er", - "ĠE P", - "ag ing", - "Ġv ac", - "O S", - "Ġ3 4", - "Ġvot es", - "for ce", - "Ġsc ene", - "Ġfollow s", - "Ġwe ap", - "Ġdire ction", - "tern et", - "il ton", - "6 6", - "g reg", - "ĠSte ve", - "ĠR em", - "ist ed", - "Ġmix ed", - "Ġto uch", - "Ġb ranch", - "Ġhost ed", - "Ġext ra", - "ĠCon ne", - "Ġd igital", - "Ġg as", - "Ġre form", - "Ġl anguages", - "ĠW alk", - "Ġg reen", - "Ġart icles", - "Ġrul es", - "Ġpot ential", - "Ġ193 7", - "Ġim plement", - "Ġre ason", - "hen s", - "Ġint ended", - "Ġp urs", - "Ġill ust", - "ĠStud ies", - "Ġcons erv", - "en es", - "g n", - "hem at", - "Ġn ation", - "Ġan g", - "z ona", - "enn a", - "ĠRepresent atives", - "Ġhistor ic", - "Ġ era", - "3 9", - "ĠCast le", - "ĠC irc", - "y ard", - "ĠL ind", - "ĠE arl", - "Ġtri al", - "ul ated", - "Ġdiv ided", - "ĠG ree", - "Ġcapac ity", - "Ġide a", - "ĠM ember", - "Ġ ut", - "ĠN az", - "g rad", - "Ġcol or", - "Ġfor ward", - "ropol itan", - "Ġt al", - "Ġtit led", - "ograph ic", - "n ce", - "Ġrespect ively", - "Ġfl oor", - "Ġdestroy ed", - "Ġtit les", - "Ġtreat ment", - "Ġs oc", - "ĠO regon", - "ol es", - "ĠJ os", - "Ġass igned", - "ĠK al", - "ĠMar sh", - "Ġengine er", - "ĠK el", - "Ġ6 4", - "20 10", - "it led", - "ĠF e", - "Ġtown s", - "7 7", - "g g", - "ill ery", - "ur d", - "ĠTur key", - "ĠWar s", - "ĠMal ays", - "ĠP ier", - "Ġin side", - "Ġp arliament", - "or al", - "ap ore", - "ĠFred er", - "ĠH al", - "ĠR om", - "ly n", - "k h", - "ĠZ h", - "Ġag ric", - "ix ed", - "% )", - "Ġbas is", - "Ġd ance", - "Ġactiv ity", - "6 5", - "Ġsem i", - "Ġnov els", - "Ġre pe", - "and on", - "Ġcompos er", - "Ġbeh av", - "200 7", - "Ġun known", - "Ġreview s", - "Ġsit es", - "ĠE th", - "Ġ. ..", - "ĠBrazil ian", - "ĠComm and", - "Ġc ounter", - "re al", - "c ow", - "iv ity", - "Ġgrow th", - "b ec", - "Ġcle ar", - "Ġst reet", - "ĠDav is", - "Ġcont rovers", - "Ġmet al", - "ĠCon f", - "Ġfem ales", - "ĠP ass", - "b u", - "M S", - "Ġeffort s", - "Ġpurch ased", - "Ġp al", - "Ġpl ants", - "Ġbecom es", - "ennes see", - "b ell", - "Ġmov ing", - "Ġp et", - "Ġup per", - "ĠBro ok", - "ĠCon c", - "ĠAtl antic", - "ear s", - "Ġcont est", - "Ġprodu ce", - "iz es", - "ĠCount ry", - "Ġfe el", - "ĠSt and", - "ast y", - "ĠT al", - "ĠBe ach", - "ĠC re", - "ĠB all", - "Ġfac ilities", - "Ġl ies", - "ĠAri zona", - "a ud", - "ĠG reg", - "un ct", - "em an", - "Ġquest ion", - "ĠPhilipp ines", - "Ġcer em", - "ĠT a", - "ian t", - "it o", - "200 9", - "ĠN ic", - "ad ed", - "Ġtyp es", - "Ġequip ment", - "ĠFore ign", - "Ġcapt ured", - "I A", - "ĠF ree", - "Ġprodu ct", - "f ort", - "Ġsmall er", - "Ġatt end", - "est ic", - "Ġquick ly", - "Ġst ore", - "Ġy et", - "ĠK r", - "b ro", - "w ater", - "Ġhigh ly", - "200 0", - "e k", - "Ġle aves", - "ĠSe ver", - "Ġcont act", - "Ġcitiz ens", - "Ġ5 00", - "ĠS on", - "ar p", - "ound ed", - "Ġform at", - "b les", - "Ġdocument ary", - "Ġ4 4", - "Ġest ate", - "ast ic", - "st yle", - "ĠT ennessee", - "Ġimmedi ately", - "Ġ( ;", - "ĠLe on", - "ren ce", - "Ġorgan ized", - "if orm", - "Ġaccept ed", - "Ġs umm", - "ĠMar c", - "Ġg re", - "b ed", - "ed ia", - "k in", - "ipl om", - "w atch", - "Ġop portun", - "ĠNor way", - "j an", - "Ġcon ver", - "ĠM as", - "a ug", - "20 11", - "ef e", - "ĠS ri", - "Ġm ax", - "Ġown er", - "ul ed", - "Ġcon ference", - "Ġfl ight", - "Ġr at", - "ĠC as", - "ian g", - "s ky", - "ur er", - "Ġ193 5", - "ĠN etwork", - "Ġ19 19", - "Ġphys ical", - "Ġfav or", - "Ġfac ulty", - "Ġro les", - "200 6", - "g ers", - "o is", - "200 8", - "Ġst ra", - "Ġsy mb", - "Ġaut om", - "Ġb ronze", - "er c", - "Ġdecl ared", - "ĠMary land", - "amb ig", - "Ġconf irmed", - "Ġsoft ware", - "se y", - "am i", - "ĠC ra", - "ĠS av", - "Ġmot or", - "Ġte acher", - "Ġchar ge", - "Ġre ach", - "ol n", - "Ġcommon ly", - "ĠUk raine", - "Ġpos itions", - "ann a", - "Ġaff ili", - "Ġg overnor", - "Ġ19 14", - "Ġhous ing", - "Ġoper ating", - "ĠHigh way", - "Ġv s", - "ĠO d", - "Ġ3 3", - "eat her", - "ĠB at", - "ĠBe fore", - "Ġprogram ming", - "Ġper man", - "Ġbe at", - "im al", - "Ġh tt", - "Ġstre ng", - "ĠIra q", - "U n", - "ĠS ources", - "Ġele v", - "am in", - "ce st", - "Ġcomp ared", - "r ate", - "ĠFor mer", - "Ġcom es", - "h at", - "ĠBack ground", - "ĠSing apore", - "Ġterrit ory", - "ĠFed eration", - "are t", - "Ġab ility", - "ĠMod ern", - "Ġagre ement", - "Ġd istricts", - "b s", - "Ġcom ment", - "Ġtarg et", - "ĠK l", - "CA A", - "Ġst one", - "Ġ19 10", - "ĠM emorial", - "Ġfound er", - "ĠR oss", - "ĠL iter", - "Ġw a", - "Ġp op", - "ĠDe c", - "Ġsw im", - "ellig ence", - "Ġ19 17", - "Ġg iving", - "ag a", - "ĠD or", - "Ġagre ed", - "ĠF ox", - "Ġatt ention", - "ĠCh ile", - "Ġmod els", - "ar c", - "Ġappro ach", - "Ġengine ering", - "5 8", - "Ġn ucle", - "9 3", - "inc ial", - "vent h", - "ĠH or", - "Ġcamp us", - "ĠO cean", - "ĠS ound", - "S P", - "Ġpe ace", - "ĠE ach", - "m ad", - "west ern", - "igh th", - "du ce", - "Ġlead ership", - "Ġinstitut ions", - "Ġw alk", - "Ġatt ra", - "Ġc ars", - "od ies", - "S C", - "ap h", - "Ġl if", - "Ġap art", - "ript ion", - "Ġ192 8", - "Ġy ards", - "Ġest imated", - "Ġel im", - "z o", - "ĠB ru", - "igr ants", - "ol i", - "Ġse ats", - "Ġth ink", - "Ġoccur red", - "Ġbl ood", - "ĠR en", - "un te", - "Ġw ing", - "ĠW at", - "ambig uation", - "op her", - "ĠD iv", - "ĠEnter tain", - "ĠH art", - "ĠS port", - "Ġg ained", - "ad er", - "200 5", - "Ġneed ed", - "ot i", - "Ġch airman", - "Ġmed ian", - "ĠPhil ip", - "Ġ x", - "Ġact ing", - "ĠF a", - "ĠLew is", - "Ġsuffer ed", - "Ġcon clud", - "Ġdise ase", - "Ġfig ure", - "Ġadop ted", - "Ġrec on", - "Ġb ad", - "ĠB os", - "ĠMel bourne", - "Ġfl ag", - "Ġ192 9", - "Ġs ens", - "Ġcr ime", - "in us", - "Ġc oin", - "ed er", - "we alth", - "Ġdist ribution", - "Ġserv es", - "ĠT s", - "5 00", - "ĠMos cow", - "ĠT en", - "Ġst ream", - "Ġp oll", - "Ġent er", - "it ness", - "Ġf ell", - "ul s", - "Ġan alysis", - "H L", - "ĠPro duction", - "rain ian", - "Ġcomb ined", - "im inal", - "l ah", - "Ġcomm ittee", - "Ġjournal ist", - "' ,", - "s pe", - "Ġ3 8", - "ĠT est", - "ans ion", - "Ġcont ent", - "Ġcor respond", - "Ġj oint", - "T A", - "ĠAb b", - "ag h", - "or ter", - "ĠSe ason", - "Ġqu ality", - "Ġcan cer", - "Ġv ess", - "Ġpre c", - "20 12", - "200 4", - "ing ham", - "Ġ193 3", - "Ġpolit ics", - "ĠSt ock", - "y es", - "Ġres ident", - "Ġ193 4", - "ĠCro at", - "or ph", - "anc ing", - "Ġra re", - "ĠSpr ing", - "S h", - "ost er", - "ĠAb d", - "Ġcont emporary", - "ĠEngine ering", - "Ġproble m", - "ugu ese", - "ol id", - "ast ers", - "Ġ urban", - "Ġperforman ces", - "Ġtyp ically", - "A n", - "Ġh abit", - "y ond", - "al o", - "ĠR ound", - "p et", - "Ġret ire", - "pl ace", - "Ġmention ed", - "eth ing", - "Ġofficial s", - "l aw", - "Ġnomin ated", - "ĠHe art", - "Ġb ig", - "Ġindust rial", - "9 1", - "Ġcom ing", - "Ġun c", - "ib ly", - "ĠH ard", - "ash ion", - "ĠB on", - "Ġh undred", - "Ġf iction", - "id i", - "w orks", - "Ġpres ence", - "Ġl abor", - "ov i", - "ĠTurk ish", - "Ġbl ue", - "ĠQueens land", - "ĠKh an", - "ĠV o", - "p ass", - "Ġeduc ated", - "ant e", - "9 2", - "it i", - "w ing", - "Ġex c", - "g ar", - "Ġh or", - "20 13", - "ir al", - "ĠJew s", - "ĠH ou", - "ol ved", - "v ard", - "Ġf ast", - "l i", - "id ers", - "is a", - "ĠAdd ition", - "V ID", - "Ġpr in", - "il ing", - "ic ian", - "ĠB alt", - "Ġcol umn", - "hed ral", - "Ġco al", - "g i", - "Ġlarg ely", - "Ġresult ed", - "dis ambiguation", - "Ġrecogn ized", - "osoph y", - "ot ed", - "Ġprob ably", - "ĠI owa", - "ĠAust ria", - "m outh", - "Ġe c", - "Ġ ir", - "ak s", - "ĠG il", - "ĠAr k", - "ĠCommon wealth", - "for mer", - "Ġab andon", - "Ġ192 4", - "Ġb oy", - "Ġdam age", - "d a", - "Ġres erv", - "ĠR ang", - "p son", - "Ġm iles", - "Ġcon cent", - "ĠKent ucky", - "Ġh op", - "ĠBro ther", - "os en", - "ĠO t", - "Ġbur ied", - "ĠE c", - "Ġc ab", - "u ate", - "Ġpaint ing", - "Ġschol ar", - "ĠD own", - "ĠB ah", - "v o", - "ĠC ab", - "Ġc am", - "ĠSports people", - "Ġwid ely", - "act er", - "Ġsc oring", - "G B", - "Ġexp anded", - "5 6", - "Ġc ode", - "Ġ19 00", - "Ġvill ages", - "z h", - "Ġar ts", - "Ġex pected", - "Ġrank ed", - "ol is", - "Ġ193 2", - "Ġ3 7", - "Ġsex ual", - "ĠEntertain ment", - "Ġclass ical", - "Ġsports people", - "Ġb ra", - "ĠSquad ron", - "ĠK itt", - "Ġnew ly", - "Ġrec omm", - "Ġident ified", - "ĠHar ry", - "Ġm m", - "Ġcrit ical", - "Ġf elt", - "Ġgr anted", - "Ġm ill", - "Ġdef end", - "ĠAre a", - "oc ese", - "iqu es", - "ar o", - "ĠC ape", - "Ġp ict", - "u i", - "form ed", - "ain e", - "cl es", - "Ġse arch", - "ĠWal ter", - "Ġsecond ary", - "ĠBel g", - "Ġ rom", - "Ġf ish", - "Ġad apt", - "Ġsqu are", - "ĠH ur", - "ĠManag ement", - "ĠT ony", - "ĠD anish", - "ĠG i", - "Ġcou ple", - "Ġdr ums", - "Ġstar ring", - "Ġal le", - "m itted", - "ro g", - "us ion", - "ĠL ike", - "Ġlos ing", - "Ġb illion", - "Ġwe ight", - "Ġconc ert", - "20 14", - "k es", - "se ason", - "ĠSw iss", - "l ast", - "Ġs ales", - "Ġt aught", - "t ing", - "il ation", - "Ġcre ation", - "Ġcond ition", - "Ġre duced", - "Ġm ess", - "ett ing", - "ĠViet nam", - "ĠN ick", - "Ġco aches", - "Ġdist ance", - "Ġthe atre", - "vi ation", - "Ġcomm ander", - "Ġpress ure", - "8 7", - "Ġresult ing", - "Ġw ild", - "Ġ192 7", - "Ġb al", - "Ġpre mier", - "or ship", - "Ġthere fore", - "Ġoff ers", - "ĠCO VID", - "0 5", - "ĠR on", - "itz erland", - "i ot", - "ĠInf antry", - "ĠProfess ional", - "ĠPort uguese", - "S T", - "Ġcap tain", - "200 3", - "ĠG ord", - "ĠRec ord", - "cl aim", - "ĠReg ional", - "Ġinstr ument", - "ĠS ix", - "Ġlo an", - "oc ated", - "ĠTh rough", - "ĠT an", - "Ġ19 12", - "p ur", - "Ġsp ons", - "4 1", - "ĠAm ong", - "Ġsec ret", - "20 15", - "ĠSim on", - "ĠUk rainian", - "ĠA st", - "ĠB eng", - "ĠSe le", - "Ġt im", - "ĠT reat", - "m es", - "Ġtw ice", - "Ġauthor ities", - "ĠAl b", - "ĠH and", - "Ġrec ently", - "al ing", - "Ġarrest ed", - "ĠF inn", - "Ġsurn ame", - "V D", - "Ġ193 1", - "4 2", - "ad s", - "Ġstr ugg", - "ict ional", - "orn ey", - "h o", - "ĠN ik", - "Ġyoung er", - "Ġform ation", - "p a", - "I C", - "ĠN CAA", - "Ġpre p", - "Ġinj ury", - "ord in", - "Ġbeg ins", - "ĠL abor", - "um es", - "ĠAr men", - "i pe", - "Ġformer ly", - "Ġ192 2", - "ĠBul g", - "Ġra cing", - "ym n", - "0 7", - "Ġatt acks", - "Ġg raph", - "ĠH ans", - "ĠD rag", - "Ġvers ions", - "Ġw all", - "ĠGree ce", - "m iss", - "ĠI l", - "lah oma", - "ĠSt aff", - "0 6", - "Ġfin ish", - "ĠIsrael i", - "ĠAff airs", - "ĠPl an", - "Ġth ous", - "Ġsurround ing", - "Ġprov iding", - "ĠG er", - "ĠAn ne", - "ĠArch ite", - "Ġcrit ics", - "ĠPh ys", - "ay er", - "ĠSpace watch", - "Ġrest aur", - "Ġdis establ", - "b ra", - "os is", - "Ġc e", - "Ġser ious", - "0 8", - "m ont", - "re ll", - "ĠA ud", - "ĠRe al", - "Ġ192 1", - "ĠTok yo", - "ĠAl i", - "Ġvoc al", - "200 1", - "Ġt ree", - "Ġpat tern", - "as ion", - "Ġknow ledge", - "ĠBill board", - "p ool", - "ĠMill er", - "Ġ192 5", - "b i", - "ĠBe c", - "Ġshow ed", - "ĠK at", - "T C", - "ĠTr ust", - "Ġob tained", - "Ġstat istics", - "Ġc arri", - "ĠJac ob", - "Ġspl it", - "ĠN ap", - "Ġreg ions", - "Ġinte g", - "Ġ192 6", - "ann ing", - "ĠBet ween", - "og ue", - "ĠG ab", - "Ġp aid", - "ĠOr iginal", - "Ġrece ive", - "ain ts", - "ĠSw itzerland", - "ĠD omin", - "Ġl ibrary", - "inc oln", - "Ġtra ins", - "iv als", - "ĠMan chester", - "ograp her", - "g ro", - "ĠHol y", - "ĠP ict", - "ĠTh ird", - "ĠAl ab", - "Ġb ow", - "Ġf estival", - "ĠJan e", - "ru it", - "ĠEm peror", - "ĠAnd erson", - "Ġpro pos", - "p ri", - "or i", - "ĠSen ior", - "Ġnot es", - "ĠChrist mas", - "Ġc ells", - "ug al", - "Ġdesign ated", - "ĠOk lahoma", - "ĠBuild ings", - "Ġsp ring", - "og s", - "ĠServ ices", - "l ines", - "Ġn et", - "Ġsup pl", - "in y", - "Ġp ack", - "ĠR a", - "ill er", - "Ġl iber", - "ĠF ac", - "ĠCh ampions", - "20 16", - "Ġmay or", - "Ġim age", - "Ġke pt", - "Ġsugg ested", - "el ine", - "m un", - "Ġmark ed", - "ĠB rian", - "Ġclaim s", - "ific ations", - "Ġtw enty", - "Ġlaun ch", - "Ġtr ue", - "ĠT urn", - "ous es", - "Ġmanag ers", - "Ġreg ul", - "ĠPro te", - "ic ians", - "ĠK am", - "Ġh y", - "ĠB arn", - "Ġd ial", - "f ef", - "ĠA le", - "Ġconfl ict", - "Ġveh icles", - "Ġpain ter", - "ĠChild ren", - "ĠL ar", - "Ġent ry", - "Ġinsp ired", - "ĠLem mon", - "Ġfig ures", - "200 2", - "Ġ192 3", - "Ġh all", - "ĠP oint", - "Ġsp irit", - "Ġre ports", - "Ġ19 16", - "Ġexper iment", - "ate ur", - "4 9", - "Ġsup ply", - "ĠD ue", - "Ġm ales", - "Ġsix th", - "Ġhead quarters", - "ĠN aval", - "Ġb ott", - "ĠFr ont", - "and y", - "ĠRe ception", - "Ġro yal", - "Ġcontin ues", - "Ġconne cted", - "1 00", - "ĠMc G", - "ro om", - "Ġw ins", - "ĠF ord", - "Ġsh op", - "Ġtra ffic", - "Ġd ensity", - "Ġg ives", - "ĠF il", - "ubl in", - "8 9", - "oot h", - "ĠK y", - "4 3", - "Ġport ray", - "N ew", - "ĠR un", - "ĠPr in", - "Ġ19 15", - "fef efe", - "qu es", - "Ġsl ight", - "ch a", - "ri p", - "Ġjud ge", - "Ġmaterial s", - "Ġact ually", - "Ġn ortheast", - "Ġthem e", - "ly wood", - "al so", - "ok ing", - "E R", - "Ġpart ner", - "Ġa im", - "Ġ7 5", - "; \"|", - "20 17", - "oth s", - "Ġop position", - "Ġcomp on", - "ĠP op", - "rat or", - "ĠAlab ama", - "ĠLab our", - "ĠHow ard", - "Ġpromot ion", - "Ġsucceed ed", - "Ġpur pose", - "Ġcl imate", - "ĠBas ketball", - "ĠAlbum s", - "ĠL ow", - "ol ished", - "u ous", - "ĠR ose", - "r in", - "ene z", - "ĠF ame", - "ĠL incoln", - "Ġte aching", - "ĠI V", - "ro it", - "Ġgre ater", - "ĠHam ilton", - "ĠE ric", - "ĠSing les", - "v ens", - "ĠN ative", - "Ġtri ed", - "ĠL ieutenant", - "Ġcompet itions", - "Ġet c", - "6 7", - "Ġfac ility", - "A A", - "ĠPl ot", - "ĠB attalion", - "ĠT el", - "l an", - "Ġallow ing", - "ional ly", - "l ife", - "ĠMiss iss", - "Ġb att", - "b ot", - "ĠB urn", - "ĠSur vey", - "Ġt alk", - "Ġpres erv", - "Ġs ays", - "ĠAust rian", - "ĠDou gl", - "off s", - "ĠK az", - "ĠY outh", - "0 1", - "Ġmusic ian", - "ĠN ich", - "ecut ive", - "ĠS n", - "ĠMar ine", - "Ġacc ident", - "ag u", - "ik h", - "hes s", - "Ġ4 2", - "Ġc ert", - "ĠFor ces", - "Ġsc ript", - "Ġvis it", - "wh ich", - "ipp i", - "ed ing", - "Ġhistor ian", - "e ast", - "Ġto wer", - "Ġsing ers", - "Ġpublic ation", - "Ġscient ific", - "ur ance", - "Ġt ells", - "Ġ @", - "ĠCh annel", - "ĠMount ains", - "Ġcan not", - "u v", - "ĠDes cription", - "ord an", - "Ġreturn ing", - "Ġgrow ing", - "Ġexist ing", - "ĠExp atriate", - "Ġf ully", - "ĠLoc al", - "ctic ut", - "ĠHar vard", - "achel or", - "ĠBuild ing", - "ĠArgent ina", - "Ġp le", - "Ġappl ied", - "Ġsl ow", - "Ġp air", - "ure au", - "Ġle tt", - "Ġsit uation", - "Ġal one", - "ĠCur rent", - "ad i", - "Ġm om", - "ut her", - "20 18", - "ĠHon or", - "Ġall ows", - "rel ated", - "st ic", - "Ġmag n", - "id ge", - "Ġa ired", - "ĠTem ple", - "olog ists", - "Ġmet res", - "Ġd raft", - "Ġop pos", - "Ġsp ot", - "ĠC ost", - "ĠN ow", - "d am", - "ĠPri x", - "st an", - "Ġfight ing", - "ĠW olf", - "in th", - "ĠD om", - "ĠM it", - "f inals", - "ist ry", - "Ġm ut", - "ĠR oll", - "ĠG ram", - "5 7", - "Ġy ellow", - "Ġc art", - "is er", - "ĠPro t", - "ĠMor ris", - "Ġd iplom", - "' .", - "w ich", - "Ġmeas ure", - "ard o", - "Ġsit uated", - "D on", - "Ġs uit", - "Ġun ique", - "Ġm ap", - "ial s", - "Ġ19 13", - "ĠA uthor", - "Ġsaf ety", - "ĠConne cticut", - "ĠSt one", - "Ġs ons", - "Ġbrother s", - "ĠAnth ony", - "20 19", - "Ġpr int", - "ast e", - "Ġad vanced", - "ĠL as", - "ĠJ am", - "Ġw ant", - "Ġe arth", - "Ġmain tain", - "Ġhe av", - "ol as", - "ĠHistor ical", - "ĠN ag", - "or gan", - "Ġgu est", - "clud ing", - "Ġfe et", - "ingu ished", - "ĠL ank", - "ĠSec urity", - "ĠCol omb", - "ĠB rand", - "igen ous", - "ĠJ ay", - "Ġold est", - "Ġag ent", - "ĠPat rick", - "eral d", - "ch i", - "ĠTai wan", - "Ġhand s", - "Ġclass es", - "on om", - "ĠSt ory", - "ĠQue bec", - "at al", - "out s", - "ĠSil ver", - "ell o", - "est er", - "ĠK arl", - "Ġs ides", - "h ol", - "Ġb ill", - "Ġly rics", - "ĠN FL", - "s ort", - "Ġchart s", - "c ont", - "ĠD ur", - "Ġfl ood", - "ĠSund ay", - "ĠW ell", - "ant on", - "ĠC ulture", - "Ġgo es", - "Ġnar row", - "Ġth ings", - "Ġv ice", - "ĠEr n", - "Ġl ot", - "ĠN a", - "ĠMag azine", - "ĠJu an", - "Ġh orse", - "ĠR ural", - "Ġch osen", - "j oy", - "Ġp un", - "ĠT ar", - "ĠL in", - "inem a", - "Ġg all", - "ĠV is", - "Ġar ms", - "Ġme ant", - "at us", - "6 8", - "ĠP ot", - "Ġset s", - "Ġloc omot", - "Ġtem ple", - "os lav", - "Ġex change", - "im ens", - "ĠC ensus", - "ĠN on", - "ress ion", - "ĠBec ause", - "ĠHou ston", - "Ġr isk", - "ĠW y", - "d ied", - "Ġcor por", - "ĠH un", - "Ġe as", - "ĠH amp", - "ĠLouis iana", - "Ġs ail", - "Ġth ir", - "ĠBrig ade", - "Ġport ion", - "Ġcommission ed", - "Ġpro ceed", - "z z", - "y ers", - "Ġal t", - "ĠDie go", - "ĠN Y", - "Ġsugg est", - "ĠLiber al", - "z en", - "Ġchall eng", - "h r", - "val ue", - "Ġb ought", - "Ġprincip al", - "Ġauthor ity", - "Ġ19 11", - "ra it", - "ig ration", - "Ġn ob", - "Ġro ll", - "l ades", - "Ġf olk", - "ĠF ellow", - "ĠT un", - "Ġcomplet ely", - "Ġneighbor hood", - "Ġachie ved", - "Ġs outheast", - "Ġanim als", - "ĠAll en", - "Ġre ference", - "Ġhold s", - "Ġcust om", - "ĠBelg ium", - "ĠLt d", - "el ve", - "ĠD ream", - "ĠSever al", - "ĠCh all", - "ĠH ockey", - "ĠAb out", - "Ġgl obal", - "pect s", - "ĠC emetery", - "ĠR ace", - "199 9", - "Ġref used", - "d es", - "Ġprote ction", - "bo x", - "ĠV in", - "S e", - "ĠK u", - "ĠPu erto", - "am ing", - "ĠTod ay", - "Ġexhib ition", - "ĠB ry", - "ag er", - "und er", - "o es", - "uc cess", - "Ġappro ved", - "ĠAmerican s", - "Ġattempt ed", - "5 1", - "Ġrap id", - "j o", - "Ġint ers", - "Ġ4 8", - "ĠS in", - "au x", - "ĠV ice", - "Ġcont ain", - "Ġveh icle", - "Ġsett led", - "Ġt ennis", - "Ġsoc cer", - "Ġsy m", - "Ġf ans", - "Ġa ctions", - "ĠP ap", - "Ġcre ating", - "ĠG ib", - "ĠGord on", - "ĠHung arian", - "Ġad vert", - "Ġ4 1", - "ĠDet roit", - "Ġl ake", - "Ġvis ited", - "ĠDougl as", - "6 4", - "Ġdef ined", - "ĠLegisl ative", - "if ically", - "Ġend ing", - "ĠPort ugal", - "ind er", - "Ġnecess ary", - "ĠAnton io", - "Ġcomb at", - "ress ed", - "Ġf air", - "iam i", - "pr ise", - "Ġattack ed", - "I T", - "ĠTer rit", - "c ar", - "rid ges", - "ĠDen mark", - "iv a", - "ag en", - "ĠHer itage", - "ĠP ed", - "ivers ary", - "Ġpil ot", - "S R", - "are n", - "Ġsim ply", - "ac hers", - "Ġrece iving", - "ĠPlay er", - "ĠMississ ippi", - "Ġaud ience", - "b ar", - "Ġ190 8", - "Ġconsist ed", - "Ġcont aining", - "ĠS el", - "t i", - "Ġag ed", - "Ġoper a", - "Ġadv ance", - "ur i", - "Ġres ources", - "Ġst orm", - "Ġfound ing", - "Ġun able", - "um a", - "ĠN ar", - "Ġdirect ors", - "ou red", - "ĠBang lades", - "ĠA D", - "ĠT rib", - "ĠIslam ic", - "Ġmethod s", - "ĠM and", - "Ġrepresent ative", - "ĠO ak", - "secut ive", - "ĠEn vironment", - "Ġexp ansion", - "Ġrepresent ing", - "Ġfl ow", - "ĠA C", - "Ġvol ume", - "Ġcons um", - "g or", - "Ġsubsequ ent", - "Ġd aily", - "Ġinh abit", - "Ġactress es", - "ĠOffic er", - "Ġloc ations", - "Ġproper ties", - "ĠFreder ick", - "ĠSam uel", - "Ġg od", - "Ġf ought", - "0 9", - "Ġattempt s", - "ag an", - "we et", - "ĠN atural", - "ĠB erg", - "Ġro of", - "Ġbro ke", - "Ġra in", - "ĠInd ependent", - "ĠAl an", - "Ġmach ine", - "gh an", - "Ġte le", - "Ġsim ple", - "ist a", - "ĠD al", - "en h", - "ĠF ern", - "Ġtre es", - "ĠS ky", - "ag ues", - "ĠEx press", - "Ġsched uled", - "ris is", - "le ts", - "Ġv ent", - "ĠR ivers", - "Ġfrequ ently", - "Ġresp ond", - "ĠIn formation", - "ĠR ab", - "ĠMus ical", - "Ġsh ared", - "p o", - "Ġb urn", - "ab ad", - "ĠB an", - "Ġretire ment", - "im ents", - "ĠPit ts", - "Ġcandid ates", - "ĠM aur", - "ile y", - "Ġw ear", - "Ġex clus", - "ĠWh it", - "Ġj azz", - "Ġop pon", - "Ġst ock", - "Ġ ;", - "in er", - "ĠR oc", - "P A", - "ĠY our", - "P S", - "5 2", - "ĠCl ark", - "ĠAnd re", - "Ġmem ory", - "5 3", - "os ed", - "Ġpie ce", - "Ġs pect", - "d on", - "Ġconver ted", - "Ġrel atively", - "an ia", - "Ġdr iver", - "Ġsom ething", - "ĠWel sh", - "a ctions", - "Ġstra ight", - "Ġch ampions", - "Ġliter ary", - "Ġpresident ial", - "Ġqual ified", - "Ġeffect ive", - "ĠPh ill", - "ĠJ ordan", - "Ġcop ies", - "Ġdef in", - "Ġg uns", - "5 4", - "ig ation", - "Ġunder st", - "us es", - "Ġm is", - "Ġwin ter", - "stitut ional", - "ĠB ird", - "Ġl it", - "ĠP un", - "ĠU N", - "l ong", - "ĠL I", - "ĠD h", - "ĠK a", - "ĠEx ecutive", - "Ġch urches", - "Ġ3 00", - "ie val", - "Ġm orning", - "Ġdr ive", - "Ġult imately", - "enn y", - "ĠAl ban", - "Ġinc ident", - "ip ients", - "n i", - "op ter", - "ĠB ou", - "ĠDo ctor", - "o en", - "Ġin aug", - "Ġgirl s", - "r um", - "ĠIndones ia", - "Ġfoc used", - "ĠIn ternet", - "Ġapp oint", - "Ġdrop ped", - "ĠA ge", - "Ġpol ic", - "Ġtr ust", - "Ġdom estic", - "Ġres c", - "Ġoccup ied", - "ĠHot el", - "Ġdef ense", - "Ġc overs", - "Ġend s", - "8 4", - "ĠG ard", - "Ġf aced", - "ĠM iami", - "ud i", - "ĠVill age", - "Ġperform ing", - "in burgh", - "ent ed", - "g ment", - "Ġshort ly", - "ĠComp et", - "Ġneg oti", - "ĠL am", - "ĠE ag", - "Ġcateg ory", - "Ġr ang", - "ĠC ricket", - "Ġent itled", - "Ġprof ile", - "ĠBo x", - "od ox", - "ĠSchool s", - "f all", - "Ġalle ged", - "ph as", - "ĠSqu are", - "ĠAdminist ration", - "o a", - "az a", - "l ad", - "Ġrecogn ition", - "ĠC ultural", - "ord ers", - "Ġ4 6", - "Ġcon secutive", - "w ise", - "Ġop posed", - "A M", - "0 4", - "U S", - "Ġre ar", - "ĠD ave", - "Ġa st", - "ĠU C", - "Ġch o", - "Ġse em", - "an es", - "ig e", - "Ġh arm", - "Ġprot est", - "ĠPri or", - "ĠPal est", - "stru cture", - "al ty", - "ĠF und", - "Ġ iron", - "ĠK ey", - "Ġsett ing", - "Ġcons ult", - "Ġtouch down", - "Ġ4 3", - "ĠC all", - "Ġdec or", - "ĠVill ages", - "Ġlearn ing", - "ĠIm perial", - "ĠK er", - "ĠD ak", - "ffic ient", - "og en", - "Ġin ternal", - "ik i", - "Ġident ity", - "ĠD ublin", - "199 8", - "ĠAcadem ic", - "ud get", - "ĠB ureau", - "Ġhe ight", - "Ġs um", - "Ġkill ing", - "Ġinvestig ation", - "or ough", - "ĠP ope", - "ĠF arm", - "p ret", - "Ġmic ro", - "Ġact s", - "Ġperman ent", - "ful ly", - "Ġmax imum", - "Ġ189 0", - "ĠOr th", - "Ġair port", - "aw n", - "ĠL anc", - "o ok", - "7 2", - "Ġpre par", - "ĠBudd h", - "en z", - "Ġgu ard", - "ĠD a", - "l ov", - "Ġb ul", - "d ale", - "Ġcon vers", - "Ġcontribut ed", - "Ġemploy ed", - "st ream", - "B l", - "ĠAthlet ics", - "Ġfield s", - "Ġ4 00", - "Ġhot el", - "ĠM ach", - "ĠPro f", - "Ġappl ication", - "ĠUp on", - "ĠOn ly", - "or ia", - "ĠMo ore", - "sc ape", - "ĠPr iv", - "Ġlett ers", - "m it", - "Ġlaw yer", - "Ġcorn er", - "20 20", - "ĠStud ios", - "ĠL ast", - "ac ent", - "\" ),", - "5 9", - "ĠI S", - "Ġhe ro", - "Ġenvironment al", - "ow nt", - "ay an", - "ĠIn n", - "Ġk il", - "ĠTam il", - "Ġ4 9", - "7 4", - "Ġnorm al", - "Ġland s", - "Ġher self", - "ĠMr s", - "Ġpaint ings", - "Ġoffic es", - "ĠArk ansas", - "ĠD ark", - "Ġinst all", - "ot te", - "g ency", - "ĠF M", - "ail and", - "ĠS ud", - "ĠT ig", - "Ġdeterm ined", - "Ġon to", - "Ġeconom y", - "Ġs ust", - "a ver", - "G en", - "Ġre in", - "ĠD all", - "Ġviol ence", - "Ġs ense", - "ĠRober ts", - "ĠSh ar", - "Ġspe ech", - "ĠC ru", - "ĠMalays ia", - "ĠM em", - "Ġcolle cted", - "Ġtechn ical", - "Ġocc urs", - "Ġestablish ment", - "Ġmult i", - "Ġvir t", - "Ġro t", - "ĠCl in", - "Ġbe gin", - "Ġsy nt", - "ĠD C", - "8 1", - "ĠV enez", - "ĠF riend", - "Ġext ensive", - "ĠC er", - "ĠAn na", - "Ġaltern ative", - "ĠL ang", - "ĠDep uty", - "red ited", - "ĠMatt hew", - "ĠEd inburgh", - "ĠGl obal", - "Ġcomp ris", - "ic ts", - "Ġcomp ar", - "ĠHaw ai", - "ap pe", - "ĠC our", - "ĠE ner", - "ĠL ith", - "199 7", - "le ep", - "ĠB art", - "Ġmer ch", - "ĠL yn", - "ĠCommun ist", - "ĠF em", - "7 9", - "6 1", - "Ġim pr", - "ĠBel gian", - "ĠBow l", - "ĠN el", - "ra c", - "Ġenc oura", - "Ġs ay", - "Ġmerg ed", - "ww w", - "at ab", - "ol o", - "Ġs an", - "p oint", - "ĠD VD", - "Ġdo ctor", - "f e", - "se ud", - "ĠSt ew", - "7 1", - "le ase", - "vel and", - "ĠG arden", - "ĠPlay ers", - "Ġj ur", - "Ġhigh way", - "Ġpower ful", - "Ġsupport ing", - "ĠSing h", - "Ġpoet ry", - "Ġstri ke", - "ĠOr chestra", - "ol y", - "ĠKe vin", - "Ġdyn asty", - "Ġarran g", - "olle y", - "ill ing", - "GB T", - "Ġse ctor", - "iss ance", - "Ġc as", - "ĠFin land", - "Ġen joy", - "d i", - "Ġav oid", - "Ġcent uries", - "Ġst adium", - "ĠG ian", - "ĠC ow", - "Ġgen eration", - "ĠComm ander", - "ĠMay or", - "Ġo x", - "Ġexpress ed", - "Ġf ranch", - "ĠR ow", - "im ore", - "ĠM oon", - "Ġ190 9", - "ĠAlf red", - "Ġgl ass", - "ĠP ra", - "ograph ical", - "Ġf ashion", - "Ġres igned", - "Ġc reat", - "ad ow", - "ĠSc ient", - "ĠT it", - "d ie", - "Ġre ign", - "ĠD ick", - "S p", - "Ġhold ing", - "Ġpartn ership", - "20 21", - "Ġ190 5", - "8 3", - "Ġcontra st", - "Ġpat ients", - "ĠDon ald", - "Ġapp arent", - "Ġmat ter", - "Ġ190 6", - "Ġp and", - "0 3", - "ĠP a", - "ĠJoh ann", - "Ġplann ing", - "Ġa uth", - "Ġbe yond", - "D e", - "Ġr ing", - "ĠH ills", - "Ġdec re", - "Ġm and", - "ren a", - "ac he", - "inc orporated", - "eng ers", - "Ġ3 9", - "oy d", - "Ġsp ok", - "Ġm arg", - "ĠSh ah", - "Ġfin ishing", - "Ġph ase", - "Ġpie ces", - "our ney", - "Ġre asons", - "Ġabandon ed", - "n ote", - "Ġcerem ony", - "Ġen emy", - "ĠPro du", - "Ġf uel", - "Ġs ought", - "r ine", - "ĠG on", - "Ġweap ons", - "ĠHon ours", - "E A", - "ĠQ ual", - "Ġind ependence", - "ry st", - "Ġneed s", - "Ġval ley", - "' '", - "ĠFootball ers", - "ĠAlex and", - "8 2", - "Ġfun ctions", - "az ines", - "Ġvis ual", - "e qu", - "ism s", - "Ġinj ured", - "Ġk ick", - "st ead", - "Ġcast le", - "ĠW he", - "Ġsuccessful ly", - "ĠH unt", - "ĠLaw rence", - "Ġfail ure", - "Ġ190 7", - "Ġjun ior", - "Ġfl u", - "s et", - "ĠAtl anta", - "Ġeduc ational", - "ĠF u", - "Ġw alls", - "ram a", - "ĠR yan", - "f ound", - "Ġbro wn", - "Ġpra ised", - "Ġsec retary", - "ĠTh ailand", - "ic ide", - "ur ation", - "ĠG ri", - "ĠMont real", - "ra f", - "olog ies", - "ĠH ug", - "ist ant", - "ĠMic ro", - "Ġst ating", - "Ġfind s", - "ĠM ale", - "ob e", - "Ġr ival", - "Ġwrit e", - "ist ers", - "ia b", - "ĠWalk er", - "Ġcr iminal", - "Ġs ac", - "ĠT ourn", - "0 2", - "ĠLa ure", - "Ġm ind", - "f r", - "ĠE ven", - "Ġconstitu ency", - "ĠR ub", - "ĠThe n", - "Ġde ploy", - "ĠAl umni", - "ĠUt ah", - "Ġim pl", - "ĠN ob", - "bor ough", - "Ġslight ly", - "rom e", - "ĠL og", - "Ġinhabit ants", - "wh ile", - "cy cl", - "Ġeth nic", - "Ġconne ction", - "ĠMunicip al", - "ĠWh at", - "re ct", - "ap ted", - "Ġinv ited", - "Ġro ugh", - "Ġt ry", - "199 6", - "ĠAg ric", - "199 0", - "ĠL iga", - "Ġregard ing", - "Ġback ing", - "og y", - "alle l", - "Ġw ays", - "ĠE nt", - "Ġinv asion", - "Ġwe alth", - "Ġfund ing", - "Ġprov ision", - "ĠF al", - "Ġs and", - "ĠL GBT", - "f rom", - "Ġref ers", - "I N", - "Ġh ydro", - "ĠK ings", - "Ġprogram me", - "Ġf resh", - "f riend", - "ĠAf ghan", - "act ive", - "ĠRel ig", - "if ul", - "ĠCle veland", - "ĠN av", - "Ġste el", - "on i", - "ĠI ce", - "ĠArgent ine", - "Ġdevelop ing", - "Ġpol y", - "6 3", - "Ġvot ed", - "199 5", - "Ġh yp", - "ul es", - "Ġder ived", - "D P", - "Ġpri est", - "Ġord ers", - "ĠMc K", - "ant asy", - "che ll", - "ĠCh ampion", - "ĠN ep", - "Ġent rance", - "Ġtown ship", - "c ome", - "Ġrelig ion", - "R C", - "Ġad ult", - "Ġh ired", - "ĠL iver", - "I t", - "ĠMP s", - "ĠPitts burgh", - "Ġpublic ations", - "Ġam b", - "ĠP as", - "Ġpass enger", - "Ġtemper ature", - "Ġadv ant", - "ĠH op", - "ĠO w", - "ĠSy m", - "ĠY ug", - "Ġpass ing", - "ĠB oys", - "r un", - "ĠP ur", - "f ather", - "Ġpremier ed", - "ĠRog er", - "fect ure", - "ĠRes erve", - "ĠSt age", - "Ġcall s", - "ĠC hem", - "ĠP rom", - "n ia", - "Ġnucle ar", - "ĠM ission", - "h ard", - "ĠMarg aret", - "and o", - "iam ond", - "ĠMet ropolitan", - "Ġ190 4", - "Ġp owers", - "Ġm el", - "Ġin stru", - "ĠD igital", - "v ements", - "Ġcaus ing", - "ĠW ard", - "ele ction", - "B I", - "or age", - "ĠE qu", - "Ġequ al", - "ĠSerb ian", - "7 3", - "Ġcl in", - "ish ops", - "ĠA M", - "ot ic", - "ĠI ron", - "ours es", - "ĠOtt oman", - "ĠG ene", - "ĠG ran", - "z er", - "Ġres erve", - "ĠRoman ian", - "ĠPet ers", - "Ġgen era", - "Ġinvol ving", - "ĠL l", - "Ġd a", - "Ġd ates", - "ĠB eat", - "6 2", - "ĠY an", - "ĠDis ney", - "ap olis", - "Ġfund s", - "ĠL et", - "Ġbo at", - "Ġem phas", - "ĠRail road", - "Ġc row", - "ĠS ac", - "Ġbas ic", - "ĠHung ary", - "ĠF el", - "Ġg ar", - "Ġesc ape", - "\" ).", - "ĠRoman ia", - "ĠJes us", - "ut ies", - "Ġpass es", - "Ġ *", - "Ġsele ction", - "ĠCom ics", - "Ġdec ades", - "ĠVenez uel", - "ĠR ick", - "us al", - "ĠF ight", - "ĠN AS", - "Ġprote ct", - "ĠM ult", - "ust er", - "Ġfle et", - "Ġconclud ed", - "Ġv o", - "Ġcont ained", - "pos es", - "ĠI mp", - "ter m", - "Ġpand emic", - "Ġv arian", - "Ġinc orporated", - "b urn", - "ĠGirl s", - "Ġy our", - "ĠM es", - "Ġp ed", - "ĠTransport ation", - "Ġ5 2", - "clus ion", - "Ġcompet e", - "Ġb ishop", - "ĠR io", - "Ġcompos ition", - "Ġtra v", - "ĠFinn ish", - "Ġm art", - "ĠS C", - "Ġdo ing", - "ĠBu ff", - "m ers", - "Ġregist ered", - "ĠWh o", - "is f", - "a fter", - "ĠFlor a", - "on omy", - "Ġadv oc", - "m at", - "s ki", - "Ġinflu enced", - "Ġinst alled", - "ĠD ance", - "s ong", - "ang er", - "ĠF all", - "ĠIn vest", - "' m", - "ĠHol lywood", - "ĠMic hel", - "av ed", - "Ġc ru", - "ĠSe attle", - "ĠN eb", - "Ġr ise", - "Ġtransl ation", - "Ġrequ est", - "ĠGr ant", - "Ġsome one", - "oth ing", - "Ġ188 0", - "% .", - "Ġsh ape", - "Ġe mp", - "A P", - "ap es", - "h ing", - "Ġexist ence", - "Ġo vers", - "n ers", - "Ġw arn", - "n et", - "uk i", - "Ġworld wide", - "Ġjoin ing", - "re es", - "Ġl aid", - "ĠR y", - "n ight", - "ĠR ights", - "Ġa id", - "ra cy", - "or f", - "ograph ics", - "Ġobserv ed", - "ĠMet ro", - "II I", - "Ġarg ued", - "Ġform al", - "Ġsc enes", - "W e", - "Ġview s", - "Ġemploy ees", - "ĠN et", - "Ġw atch", - "Ġdet ails", - "z i", - "Ġp ione", - "Ġconsist ing", - "Ġexper ien", - "ĠV eg", - "Ġmain tained", - ") \"", - "ĠP rad", - "re te", - "ĠCam er", - "ĠDef ense", - "Ġhom es", - "ĠT ak", - "hemat ics", - "ĠBalt imore", - "ĠF ive", - "ri k", - "Ġprom ote", - "Ġb odies", - "ĠB ull", - "or ro", - "ĠOb last", - "Ġan th", - "el and", - "Ġeng aged", - "Ġan aly", - "ĠEner gy", - "Ġrecord ings", - "ownt own", - "ret t", - "Ġcar ry", - "Ġ190 3", - "Ġsup erv", - "ĠPubl ishing", - "c ia", - "Ġanim al", - "ĠSe ction", - "L C", - "ĠBru ce", - "Ġdr ivers", - "Ġs oci", - "Ġsol id", - "un ction", - "Ġbir ds", - "ĠMar ie", - "ĠAr n", - "ĠCh amber", - "Ġsc ale", - "Ġstart s", - "Ġanim ated", - "h ar", - "ĠG a", - "ĠS af", - "S c", - "ĠMor gan", - "Ġstat ement", - "Ġcricket ers", - "Ġt or", - "ĠU E", - "Ġacc used", - "ra structure", - "as a", - "Ġband s", - "Ġop in", - "6 9", - "ĠPal ace", - "ĠTh ough", - "Ġcon stant", - "ĠColon el", - "r ations", - "ĠA y", - "idd en", - "Ġheav ily", - "ĠK an", - "ĠF ried", - "ĠR acing", - "Ġsur vey", - "Ġp ull", - "Ġqu ant", - "O R", - "Ġn om", - "Ġ5 1", - "ĠRuss ell", - "bass ador", - "un c", - "emb le", - "ĠWrit ers", - "Ġch air", - "ol t", - "Ġre aching", - "ell i", - "ĠB uck", - "st ar", - "ĠH ere", - "Ġtra ined", - "ov o", - "ang el", - "Ġso le", - "ĠKn ight", - "Ġpl ot", - "ul ate", - "ĠR ot", - "ĠCl ar", - "Ġad vent", - "Ġprote in", - "le te", - "ur day", - "Ġt ropical", - "Ġ5 5", - "ol ph", - "ĠP ear", - "pect ive", - "ĠOper ation", - "Ġspec ifically", - "ect s", - "ĠKel ly", - "Ġfound ation", - "Ġstand ards", - "Ġb atter", - "Ġass ess", - "Ġext rem", - "l on", - "ond er", - "Ġt rying", - "Ġ190 2", - "Ġ190 1", - "Ġarch ae", - "Ġeff ic", - "Ġcom ic", - "od a", - "ival ent", - "ĠSoc cer", - "p ers", - "ĠPe ace", - "Ġaff ected", - "ĠCro wn", - "ĠLe v", - "ĠChrist opher", - "id el", - "Ġb an", - "ch t", - "Ġchem ical", - "Ġis lands", - "Ġun cle", - "ĠF A", - "erb ai", - "Ġag ency", - "ĠD yn", - "h op", - "ather ine", - "ĠEx t", - "Ġimport ance", - "=\" #", - "ĠR est", - "it als", - "Ġbehav ior", - "ĠV ik", - "Ġtw elve", - "Ġvol unte", - "ĠP ad", - "Ġt un", - "Ġcomp ut", - "Ġt end", - "ĠYug oslav", - "arg o", - "ĠBanglades h", - "ĠPrin cess", - "Ġexp ed", - "t hen", - "d o", - "Ġto ward", - "Ġimpro ve", - "it ations", - "ĠP atri", - "Ġs ale", - "Ġm ent", - "ĠAd vent", - "ann ed", - "t op", - "et ies", - "int end", - "Ġhe ard", - "ĠDe an", - "ĠCo le", - "ĠLe ban", - "Ġtransl ated", - "Ġw rest", - "I V", - "ĠBroad cast", - "Ġv ide", - "ĠDe ad", - "Ġreb u", - "ĠPerson nel", - "ĠR and", - "Ġobject s", - "ĠStud io", - "or us", - "ine a", - "Ġh air", - "ĠMed icine", - "ĠP y", - "ash i", - "ĠMunicip ality", - "Ġs ession", - "ĠStew art", - "199 4", - "ĠYear s", - "ir t", - "ĠR an", - "Ġintro duction", - "aught ers", - "Ġre ality", - "Ġshe ll", - "Ġreg iment", - "Ġeng ines", - "ĠE ver", - "ĠFI FA", - "Ġneg ative", - "Ġl at", - "Ġse venth", - "Ġrece ption", - "ĠGl as", - "Ġpaint ers", - "ĠM aj", - "us cript", - "go ing", - "Ġde leg", - "ĠC are", - "Ġdep uty", - "ĠVi enna", - "own ed", - "Ġres istance", - "ann y", - "Ġw eather", - "Ġstr ateg", - "Ġsecond s", - "Ġcollabor ation", - "ĠCE O", - "ud a", - "ĠK on", - "Ġlic ens", - "Ġth row", - "Ġa head", - "es c", - "ĠHamp shire", - "bo ards", - "Ġar med", - "com ing", - "Ġn ick", - "Ġ4 7", - "b r", - "Ġ ille", - "Ġ {", - "ĠS ign", - "ĠMar ket", - "Ġdescrib es", - "Ġposs ess", - "ĠO ri", - "Ġad apted", - "ĠTourn ament", - "ĠL en", - "wh ite", - "Ġrul ed", - "ĠL ib", - "ĠB ed", - "ĠAss oci", - "ĠNe v", - "ĠTr ade", - "g ow", - "Ġproduc ing", - "os m", - "Ġext ension", - "est yle", - "Ġm ole", - "Ġaccom pan", - "ĠLith uan", - "ĠAng l", - "umb ent", - "Ġdist inct", - "ĠT rad", - "Ġz one", - "Ġbrief ly", - "D A", - "uss ion", - "ĠMe an", - "us hed", - "Ġd ivers", - "Ġp rice", - "Ġprov ed", - "Ġfact ory", - "ĠNel son", - "am ic", - "Ġ ri", - "ĠP sych", - "ĠG ill", - "le vel", - "Ġcall ing", - "C l", - "am an", - "ĠAz erbai", - "ĠE ston", - "ĠH orn", - "Ġdivision s", - "em en", - "Ġ ere", - "Ġentire ly", - "Ġpri ze", - "Ġste am", - "ĠPh ot", - "ĠO ur", - "Ġmar ine", - "ĠA T", - "ĠCamp bell", - "Ġcompos ers", - "Ġrev olution", - "ĠDall as", - "ĠLiver pool", - "Ġex erc", - "ink ing", - "Ġim ages", - "Ġle ct", - "M ar", - "ĠMain e", - "ĠSup port", - "Ġg ain", - "Ġclos ely", - "Ġup d", - "ĠConserv ative", - "aval ry", - "olley ball", - "ĠCh airman", - "in cluding", - "ĠOn ce", - "in ian", - "ĠAthlet ic", - "Ġschol ars", - "b al", - "Ġres idence", - "ect ive", - "Ġagric ultural", - "ĠA rena", - "ĠEconom ic", - "ĠH end", - "ming ham", - "ĠD od", - "ĠThom pson", - "ĠCarl os", - "ell ite", - "am s", - "Ġr ating", - "Ġch ose", - "duc ing", - "199 3", - "ĠAust in", - "ĠSar ah", - "ĠD ra", - "Ġnorth west", - "ĠK ra", - "ic it", - "Ġcaus es", - "Ġappl ications", - "ĠJim my", - "ah n", - "Ġdist in", - "Ġed ited", - "Ġinter ior", - "as ka", - "ov ation", - "ĠE very", - "Ġp ages", - "d y", - "Ġcontribut ions", - "Ġide as", - "Ġac id", - "ĠEp is", - "ĠNor man", - "ab y", - "ĠC hen", - "ĠF ood", - "Ġsur g", - "ĠM ethod", - "ĠAll iance", - "Ġsh all", - "th m", - "ina e", - "ĠW right", - "Ġm ilit", - "Ġdoc uments", - "ĠCom ple", - "ĠH ell", - "un ch", - "Ġcolon ial", - "Ġre duce", - "il er", - "Ġloc ality", - "Ġent ertain", - "Ġsymb ol", - "Ġin form", - "Ġcop y", - "Ġpass engers", - "ĠOrth odox", - "Ġdo or", - "f inal", - "ĠKenn edy", - "Ġfl at", - "Ġlead s", - "ĠUE FA", - "Ġproduc ers", - "ĠR ain", - "ĠPl at", - "Ġed ge", - "Ġdis miss", - "ĠAg ency", - "Ġp up", - "Ġopportun ity", - "in ch", - "ate gy", - "20 22", - "Ġathlet es", - "Ġ189 8", - "Ġch oice", - "Ġem ot", - "Ġg arden", - "inn er", - "Ġrail road", - "Ġbelie ve", - "Ġcharg es", - "Ġ5 4", - "aut iful", - "Ġgradu ate", - "og ether", - "199 2", - "Ġc rown", - "ins ula", - "Ġroad s", - "Ġstreng th", - "ent ially", - "ĠR ud", - "ĠBe ck", - "ĠO m", - "ĠN ord", - "ir i", - "Ġregard ed", - "Ġtechn iques", - "Ġw itness", - "Ġposs ibly", - "ĠOper a", - "p erson", - "ĠE mer", - "ĠAdam s", - "ĠL ower", - "ph a", - "Ġcomp ilation", - "ĠBrook lyn", - "ult an", - "W est", - "ĠB omb", - "Ġdebut ed", - "Ġpro ced", - "Ġinter ests", - "rane an", - "ĠSen ator", - "Ġon es", - "ĠK it", - "am o", - "uc ks", - "v ia", - "ĠFrank lin", - "Ġg etting", - "Ġres ign", - "ĠAp p", - "ar us", - "ĠBern ard", - "Ġimpro ved", - "Ġre ally", - "ĠB illy", - "ĠG ulf", - "ĠD ub", - "ĠN ash", - "Ġm ist", - "ph ony", - "at ures", - "ĠDem ographics", - "Ġcomm itted", - "ĠSerb ia", - "et ime", - "h aps", - "Ġa er", - "Ġoper ate", - "Ġdist ributed", - "Ġf lying", - "Ġan cest", - "ĠCo oper", - "ĠVol ume", - "aw are", - "ĠPort land", - "ob a", - "or ial", - "ter ed", - "Ġref uge", - "ĠRob inson", - "ĠTr ump", - "ĠDak ota", - "ĠCat al", - "ĠCon stitution", - "Ġadj acent", - "el er", - "ĠN am", - "Ġparticip ate", - "a ire", - "Ġf ine", - "ĠLI NE", - "ĠBir mingham", - "Ġc ore", - "le e", - "Ġsing ing", - "ĠP ir", - "ĠH om", - "Ġa x", - "Ġint elligence", - "ĠStan ley", - "are st", - "ĠBrother s", - "ĠI van", - "in ate", - "p en", - "Ġfav our", - "ĠW restling", - "p ir", - "Ġcon vent", - "Ġus ers", - "Ġw aters", - "Ġen l", - "Ġ15 0", - "Ġ189 9", - "Ġval ues", - "Ġcont rolled", - "ug ar", - "Ġs am", - "Ġdam aged", - "ĠL ud", - "Ġground s", - "oc racy", - "Ġcle an", - "Ġob tain", - "y pe", - "ĠUp per", - "Ġqu ite", - "u ct", - "Ġh am", - "ish ment", - "ĠTra ining", - "ĠMot or", - "b ach", - "Ġb rig", - "ĠMur ray", - "Ġ187 0", - "fer red", - "ĠV ari", - "ĠW ol", - "Ġsurv ived", - "Ġdemon st", - "ĠCon struction", - "writ ers", - "ic ate", - "ĠW a", - "Ġan s", - "ĠV erm", - "Ġpro s", - "ĠRe port", - "Ġclass ification", - "ĠTe le", - "ĠSoc orro", - "ĠB ush", - "gr ade", - "Ġse ctions", - "Ġfranch ise", - "ĠCh ang", - "Ġphot ograph", - "ĠMarsh all", - "ĠLINE AR", - "Ġrepe ated", - "Ġsub stant", - "ĠGra ham", - "Ġcomb ination", - "Ġit ems", - "Ġf ly", - "Ġmeas ures", - "Ġdra wn", - "et a", - "Ġb udget", - "Ġdef ensive", - "ish ments", - "ĠB ud", - "Ġbro ken", - "Ġcon sequ", - "aly mp", - "att an", - "ĠColle ction", - "ĠA BC", - "omm od", - "i op", - "ĠD oc", - "Ġelect ronic", - "Ġbel ief", - "Ġdefe ating", - "Ġpre m", - "ok a", - "s ch", - "h u", - "Ġann iversary", - "ĠYou T", - "Ġunivers ities", - "Ġshoot ing", - "ĠG ary", - "ors es", - "Ġbene f", - "ĠSat urday", - "Ġex act", - "l ie", - "ĠJ azz", - "Ġphil osophy", - "ĠA qu", - "Ġtrans ition", - "ĠMad rid", - "ill o", - "Ġdesign s", - "t ic", - "ĠS yn", - "Ġimpr ison", - "ĠM ort", - "ĠCar ter", - "ĠCh and", - "Ġt ank", - "Ġjust ice", - "Ġstand ing", - "Ġearl iest", - "Ġgr ade", - "Ġsign al", - "ĠR u", - "ĠTax a", - "ĠPier re", - "d in", - "Ġh our", - "ĠIn s", - "ĠSec ret", - "Ġgood s", - "ĠPre fecture", - "Ġw orth", - "ĠS i", - "Ġmom ent", - "I s", - "om ing", - "Ġown ers", - "Ġl ists", - "Ġm ort", - "Ġcapt ure", - "Ġfe ed", - "ĠIran ian", - "Ġjud ges", - "el ess", - "Ġmed icine", - "Ġre jected", - "Ġcritic ized", - "Ġd ry", - "c ious", - "ĠV ic", - "ĠCar ib", - "ĠV ers", - "r m", - "ĠC ass", - "Ġfinal s", - "d ers", - "ĠL ane", - "apt ist", - "b ishop", - "ĠArt ists", - "Ġtri p", - "N e", - "atab ase", - "ĠR ap", - "Ġprov incial", - "Ġhum ans", - "ĠP C", - "Ġhtt p", - "Ġcharg ed", - "Ġ6 3", - "Ġneigh bour", - "Ġact ual", - "Ġdeliver ed", - "ĠI v", - "ak ed", - "r ons", - "Ġch ain", - "or er", - "het ic", - "H e", - "Ġactiv ist", - "b ridge", - "ut ation", - "Ġd ie", - "ĠY orks", - "Ġpur poses", - "E E", - "Ġbott om", - "Ġ( ).", - "Ġrele g", - "ĠDef ence", - "G A", - "Ġpar allel", - "M an", - "w all", - "Ġpre mi", - "Ġgr ant", - "Ġ189 6", - "Ġinter pret", - "Ġcan cell", - "Ġter ror", - "ĠAg ain", - "oc a", - "Gen eral", - "Ġsk ills", - "Ġshow ing", - "ĠD aily", - "P C", - "Ġst ores", - "Ġreg ularly", - "ĠTh us", - "Ġv eter", - "c oh", - "b at", - "p at", - "ĠLe ad", - "abl ed", - "i ac", - "ĠMov ement", - "Ġs ell", - "ĠPar alymp", - "ĠJohn ny", - "hib ition", - "Ġprison ers", - "Ġmed ium", - "ant ly", - "ce ived", - "ĠA ld", - "if er", - "ot es", - "Ġg ets", - "be an", - "Ġse ems", - "Ġis ol", - "ĠS ax", - "ĠJ ason", - "Ġqual ifying", - "et on", - "T S", - "ĠCat hedral", - "ĠT ot", - "Ġven ues", - "t own", - "Ġc ourses", - "Ġgreat est", - "ol ar", - "ĠG or", - "Ġoppos ite", - "Ġro utes", - "ĠN ad", - "Ġn aval", - "Ġbusiness es", - "ĠCy cl", - "ĠW ing", - "Ġpubl ishing", - "Ġdesign er", - "ĠMedal ists", - "F M", - "Ġ189 7", - "Ġvict ims", - "ĠBen j", - "it able", - "ol ly", - "ĠGu y", - "ĠSt ra", - "Ġpurch ase", - "Ġhabit at", - "Ġsouth west", - "Ġa ware", - "Ġsub urb", - "ĠW oman", - "h t", - "ĠNaz i", - "Ġlegisl ation", - "ĠOrgan ization", - "al ia", - "w right", - "iel der", - "ĠLank a", - "Ġtri es", - "over ty", - "iter ranean", - "Ġ189 5", - "199 1", - "l s", - "Ġstri p", - "Ġpers ons", - "I nd", - "ĠEgypt ian", - "ĠAddition ally", - "Ġfact ors", - "ĠYorks hire", - "Ġresident ial", - "ou ver", - "Ġe gg", - "Ġjournal ists", - "E S", - "Ġ5 6", - "le ased", - "ast ery", - "ĠN BA", - "Ġin sc", - "op eration", - "Ġd ies", - "ĠH ig", - "Ġfre edom", - "Ġb oys", - "Ġmet ers", - "Ġm ile", - "Ġh its", - "Ġstand s", - "ĠAp pe", - "Ġg ender", - "d r", - "Ġscient ists", - "P ro", - "y ll", - "Ġmin ute", - "mer ce", - "ĠA R", - "Ġw ounded", - "x ual", - "Ġbusiness man", - "Ġhe at", - "Ġadm itted", - "r ong", - "Ġr ivers", - "Ġt ack", - "Ġadvant age", - "ĠT ob", - "ace ae", - "ol ia", - "Ġ5 3", - "Ġexam ples", - "ĠBe g", - "ĠM ack", - "Ġatt ached", - "ĠNiger ia", - "Ġarran ged", - "t ure", - "Ġkn ock", - "am ents", - "ĠR ico", - "le ans", - "ĠWind ows", - "Ġt ur", - "ĠAuthor ity", - "Ġdr iving", - "Ġm emorial", - "Ġh ill", - "ĠK um", - "Ġc risis", - "Ġal leg", - "h ai", - "ĠCap ital", - "Ġdev ice", - "Ġmot ion", - "ĠCo ok", - "Ġcy cle", - "' re", - "ĠSer ge", - "res ents", - "ĠWeb site", - "ip h", - "Ġdesc ription", - "ĠLiter ature", - "ĠTro phy", - "ĠF ull", - "Ġcost s", - "ĠI an", - "ĠGh ana", - "f iction", - "Ġcommun ication", - "Ġacc ommod", - "Ġst ages", - "um in", - "N C", - "Ġstre ets", - "Ġsy nd", - "ĠM oths", - "ĠGu ide", - "Ġs ave", - "Ġwh y", - "ĠEv ans", - "ĠPar ish", - "Ġeas ily", - "Ġro b", - "or ce", - "O C", - "Ġsequ ence", - "Ġcred ited", - "v ant", - "end ment", - "ĠGr ay", - "ĠH as", - "Ġs uff", - "Ġcl imb", - "Ġd uty", - "ĠGr ade", - "as ure", - "Ġsub mar", - "Ġdec ade", - "l ow", - "Ġm ine", - "Ġr ich", - "Ġrest rict", - "Ġdeterm ine", - "Ġfa ith", - "as i", - "198 0", - "se a", - "Ġstar red", - "Ġro oms", - "ĠDer by", - "ĠS r", - "Ġcomm une", - "M P", - "- -", - "ĠElect ric", - "Ġk id", - "Ġcour ts", - "ĠEle mentary", - "Ġprote cted", - "ĠNot e", - "Ġg ang", - "Ġtyp ical", - "ia h", - "ĠH um", - "Ġmembers hip", - "ot hes", - "Ġren ew", - "ĠRich mond", - "Ġf er", - "Ġpain ted", - "a uty", - "Ġdem and", - "Ġcom ed", - "ĠGlas gow", - "ay ed", - "rap y", - "Ġs ki", - "ĠOr leans", - "Ġmy th", - "ĠU g", - "Ġass umed", - "Ġret ained", - "Ġa f", - "ĠCon vention", - "ĠMed iterranean", - "e enth", - "Ġb ond", - "Ġrun ner", - "ie ce", - "Ġh unt", - "Ġcirc um", - "b ul", - "Ġre action", - "Ġassist ance", - "Ġthe ater", - "ĠPrim ary", - "Ġoper ates", - "pro fit", - "Ġrest ored", - "ĠJ ama", - "ĠE ug", - "r ant", - "Ġaccompan ied", - "Ġnick n", - "ĠL ad", - "m und", - "Ġmin ing", - "Ġinvest ment", - "ĠF oot", - "Ġp ool", - "oh n", - "ĠJud ge", - "ĠMil an", - "Ġoff ensive", - "ch o", - "Ġte en", - "Ġf an", - "ĠM ond", - "ĠS S", - "ĠM ap", - "op al", - "ĠBor ough", - "Ġc ited", - "ĠUr ban", - "ĠBar ry", - "ĠCrit ical", - "ĠT u", - "Ġfl o", - "ann els", - "Ġvide os", - "Y ou", - "s er", - "ĠPublic ations", - "m ith", - "ĠConf eder", - "c ussion", - "ĠDisc ography", - "ĠFle et", - "ĠChall enge", - "ĠHind u", - "ĠSpec ies", - "ĠF ather", - "ĠC her", - "il st", - "198 9", - "Ġcon text", - "a ired", - "Ġ5 7", - "ĠMu ham", - "ter y", - "Ġp ian", - "Ġrep resents", - "Ġse ed", - "Ġut il", - "ĠTig ers", - "ĠP av", - "c op", - "Ġf est", - "ĠSal v", - "ĠWay ne", - "Ġb rain", - "Ġnot ably", - "Ġexecut ed", - "Ġhead ed", - "ĠBroad way", - "Ġf ra", - "Ġd oll", - "R S", - "ĠW W", - "ĠK ath", - "ran g", - "ick et", - "ĠThe ater", - "ĠFran ces", - "C D", - "cycl op", - "Ġexperien ced", - "Ġc ous", - "on ian", - "Ġret ail", - "ac c", - "Ġnewsp apers", - "Ġadv is", - "Ġb ed", - "d oor", - "Ġf ired", - "ĠAnd y", - "Ġst ood", - "ĠM i", - "iv ated", - "ĠAct ress", - "Ġ189 3", - "ĠPict ures", - "Ġchall enge", - "Ġman uscript", - "Ġpolic ies", - "Ġpr ime", - "Ġgr ass", - "Ġ6 2", - "Ġs ed", - "is hers", - "ĠH old", - "ĠSele cted", - "Ġcolle ctions", - "Ġd ating", - "re c", - "Ġ186 0", - "ĠPrad esh", - "Ġc aught", - "ak u", - "Ġreturn s", - "or row", - "Ġsepar ated", - "o i", - "Ġlook ing", - "edd ing", - "ĠF ace", - "Ġcar rying", - "Ġin fl", - "Ġj ump", - "th a", - "ĠV as", - "Ġher itage", - "Ġdou b", - "Ġcon qu", - "i ation", - "ĠB aker", - "Ġra cial", - "I P", - "k ov", - "c ular", - "in ter", - "Ġs elling", - "ĠPolit ics", - "Ġt ail", - "Ġform ally", - "g ie", - "ĠPh oen", - "Ġconcern s", - "ĠR ena", - "Ġb ran", - "Ġr hy", - "ĠWar ren", - "ĠCent ury", - "ĠN ever", - "Ġuns uccess", - "ows ki", - "Ġw ings", - "ot an", - "ĠF rid", - "ĠH it", - "Ġstop ped", - "Ġass ault", - "P h", - "ĠYouT ube", - "ĠP il", - "Ġele ctoral", - "ĠFl ore", - "ĠV el", - "ĠBl ues", - "ĠM ong", - "uk a", - "ĠPer u", - "ac on", - "Ġ189 4", - "c hers", - "Ġ188 9", - "ĠB rist", - "ĠL ov", - "Ġkil omet", - "ĠD J", - "ĠGab ri", - "ĠN at", - "ĠSe ven", - "ra ge", - "Ġde st", - "Ġn or", - "ĠMit chell", - "R e", - "ĠCharl ie", - "ĠJ osh", - "ul u", - "Ġf iled", - "ec ution", - "ĠF act", - "ĠDel hi", - "ie ge", - "ĠBenj amin", - "Ġrestaur ant", - "y les", - "att ers", - "Ġd uties", - "ras ka", - "Ġast ron", - "ĠRang ers", - "Ġcar bon", - "ro c", - "Ġ189 2", - "Ġe ye", - "ĠA er", - "ind ing", - "Ġun iform", - "ĠM other", - "ĠMon te", - "Ġv aria", - "Ġatt ract", - "ĠSlov ak", - "Ġinstr uments", - "Ġt all", - "Ġmag azines", - "lo ad", - "amp s", - "Ġend emic", - "op les", - "is d", - "ĠA S", - "ĠR al", - "ĠLim ited", - "it ime", - "ĠR av", - "ĠC art", - "Ġsom ew", - "Ġsignificant ly", - "ĠL anguage", - "Ġin her", - "ĠM ans", - "ĠG un", - "ok ed", - "ĠC ase", - "ĠMan h", - "ĠPol y", - "ten ance", - "anc ouver", - "Ġshe l", - "j ab", - "Ġguitar ist", - "Ġcoast al", - "Ġadapt ation", - "Ġlin k", - "Ġnot hing", - "Ġcolle ges", - "Ġsever e", - "ĠB und", - "ĠB enn", - "Ġarr ival", - "ĠQu arter", - "ĠM all", - "ĠN orm", - "ĠComp anies", - "ĠM ess", - "Ġdemon str", - "orn e", - "Ġth ick", - "m aster", - "Ġpre ced", - "Ġcritic ism", - "Ġleg end", - "ĠR ic", - "ĠHawai i", - "Ġtest ing", - "p age", - "Ġdeg rees", - "ĠNov a", - "ĠNev ada", - "ĠGu inea", - "ĠColomb ia", - "Ġown ership", - "Ġwind ows", - "ĠTown s", - "forman ce", - "ar an", - "aw ay", - "Ġb at", - "ĠNep al", - "Ġexpress ion", - "H S", - "igg est", - "Ġequ ivalent", - "Ġrom antic", - "Ġb rick", - "Ġrespons ibility", - "Ġbring ing", - "or iginal", - "Ġob l", - "eg et", - "Ġin stitution", - "Ġexpl os", - "ĠN ation", - "ut ions", - "Ġ1 20", - "Ġcol our", - "ĠB urg", - "ĠCon n", - "Ġus er", - "ĠVo iv", - "le ton", - "h ab", - "ĠZ e", - "ĠAnd r", - "as hed", - "Ġmed als", - "ok er", - "ĠAlbert a", - "ĠNeb raska", - "Ġchampionship s", - "ĠM ak", - "Ġinc orpor", - "ĠB achelor", - "Ġorgan isation", - "Ġpo ets", - "id ency", - "Ġd aughters", - "Ġdep end", - "l ock", - "ĠWar ner", - "Ġpract ices", - "Ġfl ower", - "c ount", - "gress ive", - "usal em", - "N o", - "Ġlearn ed", - "ph an", - "Ġpo em", - "Ġfl owers", - "Ġsuccess or", - "he me", - "Ġco ordin", - "Ġother wise", - "ĠBarb ara", - "ĠSc hed", - "Ġmunicipal ities", - "ĠV lad", - "Ġ188 5", - "is ations", - "Ġvess els", - "Ġst orage", - "Ġsugg ests", - "ĠStand ard", - "ĠBuff alo", - "Ġin du", - "ĠPhilipp ine", - "ĠG rad", - "Ġfilm ed", - "ĠWeek ly", - "Ġunder standing", - "ph one", - "ship s", - "wh o", - "ast rop", - "ĠAl t", - "Ġreplace ment", - "ĠJ enn", - "Ġ189 1", - "bre ak", - "ĠCarib bean", - "ĠMin or", - "ĠHun ter", - "Ġh ur", - "o om", - "Ġwind ow", - "Ġcol span", - "odes hip", - "ĠT ower", - "Ġfact or", - "Ġch ance", - "ater n", - "ĠY e", - "i ya", - "p ower", - "Ġp hen", - "arm a", - "Ġw ave", - "ĠSpe ed", - "Ġlin ked", - "Ġcrow d", - "O N", - "il k", - "ĠF itz", - "ĠMuham mad", - "ĠU nt", - "Ġacc ur", - "Ġturn s", - "st ances", - "Ġmed ieval", - "Ġcross ing", - "ĠAl aska", - "ĠJon athan", - "le m", - "Ġprep ared", - "x ts", - "Ġclass ified", - "Ġrece pt", - "Ġdis appe", - "Ġcover age", - "D S", - "ĠP ant", - "ĠW ang", - "u y", - "Ġdif ference", - "Ġdi agn", - "ĠF ine", - "Ġpeak ed", - "M E", - "Ġhost s", - "elle ct", - "en ia", - "Ġcomm emor", - "st ad", - "Ġnomin ation", - "Ġsound track", - "Ġinter ested", - "Ġb anks", - "og le", - "n ik", - "ĠGre ater", - "Ġf rag", - "ĠJ ess", - "Ġ7 6", - "Ġauth ors", - "Ġoccup ation", - "ĠRe lease", - "Ġrec ip", - "rupt ion", - "ĠSt ars", - "ĠV ancouver", - "Ġt ied", - "Ġmon ument", - "ĠVictor ian", - "ĠCharl otte", - "av an", - "Ġdev ices", - "Ġm outh", - "ch ang", - "Ġdid n", - "ĠTechn ical", - "198 8", - "Ġartist ic", - "f are", - "ĠAp ple", - "ĠK os", - "ĠP A", - "Ġv eget", - "Ġf ictional", - "ĠL ate", - "Ġweek ly", - "ĠBeng al", - "ien cy", - "ĠProt est", - "ĠS aints", - "ĠUn it", - "ĠCon stant", - "ĠT ang", - "ĠRec ipients", - "ĠAm az", - "Ġinv ent", - "Ġthe ore", - "ĠA P", - "Ġcover ing", - "Ġens ure", - "Ġd anc", - "Ġm obile", - "ĠS um", - "Ġrec ru", - "Ġte achers", - "Ġland ing", - "Ġdesc end", - "Ġun us", - "Ġsubject s", - "ĠBl ood", - "ĠT ag", - "ĠH ud", - "ark ed", - "Ġ| }", - "ict ions", - "ant ine", - "Ġag encies", - "ĠAss istant", - "Ġfl ows", - "Ġparliament ary", - "Ġb iggest", - "anc ell", - "Ġchild hood", - "Ġ6 1", - "Ġass ass", - "ĠVoiv odeship", - "ĠAl ger", - "en burg", - "ar on", - "Ġas pects", - "ens es", - "ĠL uther", - "ĠHe b", - "ri x", - "ĠNich olas", - "ĠClass ic", - "Ġ ign", - "ĠDef unct", - "ĠChart s", - "ĠL ore", - "ot ype", - "ĠAl ice", - "ĠSt re", - "ĠOn line", - "198 7", - "Ġart illery", - "ik o", - "A m", - "Ġs un", - "ĠP le", - "Ġc old", - "ĠFil ip", - "ourn als", - "Ġp od", - "ric ane", - "Ġexper t", - "er ia", - "Ġde pos", - "Ġstr uck", - "ĠC hel", - "Ġsquad ron", - "m osp", - "iv ia", - "Ġmanufact uring", - "ĠInd ians", - "ĠF ab", - "ĠSte el", - "ĠP ast", - "ĠEx per", - "Ġcount ies", - "ĠUl t", - "Ġpopular ity", - "ou stic", - "an im", - "Ġ188 8", - "Ġminist ers", - "ĠGri ff", - "g ov", - "Ġstay ed", - "Ġv ary", - "ĠDist ribution", - "ĠBrist ol", - "ess ions", - "oc ol", - "Ġc up", - "iv an", - "ĠLu is", - "ĠS umm", - "Ġhistor ians", - "ĠO range", - "Ġelim inated", - "Ġforest s", - "Ġs ort", - "force ment", - "Ġass embly", - "E ng", - "ĠF ish", - "Ġd og", - "f olk", - "f ers", - "id ad", - "ĠFac ulty", - "j u", - "Ġappro pri", - "ounc ill", - "ĠC ode", - "ĠS id", - "ĠAfghan istan", - "Ġclass ic", - "ur u", - "ĠP in", - "Ġro se", - "Ġp apers", - "old s", - "Ġre ferences", - "ue z", - "ĠSt orm", - "Ġdisestabl ished", - "Ġgen e", - "sh aped", - "Ġaccom pl", - "in ations", - "ĠJer usalem", - "Ġeven ing", - "Ġlocomot ives", - "Ġd ated", - "Ġele ment", - "ĠPark er", - "ĠMor oc", - "ĠD NA", - "il ia", - "Ġhead s", - "Ġpict ure", - "ĠT ol", - "ĠAp pl", - "Ġsc heme", - "ĠC inc", - "h us", - "Ġm anga", - "oth y", - "og a", - "M C", - "Ġd im", - "b el", - "Ġch annels", - "Ġinf rastructure", - "ĠAdm iral", - "ĠM ind", - "Ġ5 8", - "ĠSm all", - "Ġl es", - "Ġche ck", - "Ġf ram", - "Ġrequire ments", - "Ġgradu ating", - "Ġ id", - "Ġf alls", - "ĠS R", - "Ġor chestra", - "Ġappoint ment", - "ĠMean while", - "ĠK ap", - "h and", - "ĠU nd", - "Ġ vert", - "ĠSa udi", - "ĠM aced", - "Ġt ie", - "st ory", - "ĠN i", - "Ġsynt hes", - "ann er", - "ush ing", - "Ġag greg", - "Ġaff airs", - "Ġpen alty", - "Ġprocess es", - "Ġwithd raw", - "Ġwhe el", - "ĠS ide", - "ĠSo ft", - "ĠOl iver", - "ĠCont emporary", - "ra ce", - "ov en", - "ĠE sp", - "Ġcondu ct", - "Ġsign ing", - "Ġn ations", - "Ġb it", - "app ing", - "ĠR AF", - "Ġ188 7", - "Ġf ixed", - "ĠA round", - "ĠKn ights", - "ĠIn it", - "ĠE vent", - "m m", - "Ġ186 5", - "Ġsent enced", - "Ġround s", - "Ġl ieutenant", - "Ġt ask", - "Ġdif ferences", - "Ġaud io", - "Ġconv icted", - "Ġs now", - "Ġre nt", - "kn ow", - "ĠA ction", - "Ġp overty", - "c ons", - "Ġr ates", - "ĠKn ow", - "ĠCl are", - "ur ers", - "Ġcomm it", - "ĠPr incip", - "Ġnomin ations", - "Ġr u", - "Ġthous ands", - "Ġst ret", - "ĠAnt i", - "Ġrepl acing", - "ĠK un", - "c ard", - "ĠSh a", - "rib ed", - "is ition", - "ĠB ron", - "Ġopin ion", - "ĠManh attan", - "Ġappear ing", - "Ġexped ition", - "Ġl iqu", - "ĠN ature", - "Ġpl ane", - "ĠS oul", - "Ġchap ter", - "claim ed", - "Ġquest ions", - "i ary", - "ĠS ultan", - "198 6", - "ij ing", - "w ig", - "ĠHis pan", - "ĠArt illery", - "Ġmov ements", - "ĠB ert", - "Ġenc ounter", - "cast le", - "Ġev olution", - "Ġextrem ely", - "Ġj ourney", - "Ġm ental", - "ĠTr inity", - "ĠFre edom", - "ĠH em", - "Ġsur re", - "Ġso il", - "Ġm ac", - "i ors", - "f ish", - "ar is", - "Ġlim it", - "b oy", - "Ġmon arch", - "Ġportray ed", - "Ġind igenous", - "ĠY am", - "Ġrel ative", - "p ent", - "u is", - "Ġadd ing", - "Ġemer gency", - "ĠCroat ian", - "ĠP age", - "ĠMod el", - "ĠDi ocese", - "ele cted", - "Ġl ov", - "f eld", - "Ġindic ate", - "ĠCont rol", - "Ġs ax", - "Ġtem porary", - "press ion", - "ĠTra il", - "Ġwood en", - "Ġnot e", - "ĠIs a", - "al is", - "ĠPl ant", - "le ment", - "Ġpl ate", - "in os", - "Ġwe ak", - "ach t", - "ĠKir k", - "Ġcap able", - "ĠBar cel", - "Ġstr ategy", - "in ces", - "198 5", - "ĠF alls", - "Ġme ets", - "Ġterrit ories", - "ĠSh ang", - "kee per", - "Ġ186 4", - "Ġtechn ique", - "ĠEduc ational", - "ĠMar s", - "Ġsu icide", - "Ġphot ography", - "Ġoffer ing", - "ĠY u", - "ĠAd ela", - "Ġw or", - "Ġ188 6", - "ĠF eat", - "ĠHarris on", - "b ut", - "ĠPo et", - "ĠB ranch", - "oph one", - "Ġh ip", - "ist ani", - "Ġsubs idi", - "Ġdef ence", - "ĠK o", - "Ġag o", - "us c", - "ĠP ay", - "ĠTerrit ory", - "Ġam ateur", - "Ġmount ains", - "he red", - "m aker", - "uss ian", - "ĠRe f", - "Ġvol umes", - "Ġloss es", - "Ġking dom", - "Ġel der", - "Ġsusp ended", - "Ġv ision", - "ĠSh ip", - "ĠCh ron", - "ĠD raw", - "er k", - "ĠM L", - "ĠZ one", - "h ost", - "Ġactiv ists", - "Ġhor ror", - "ĠSocial ist", - "ro v", - "im ir", - "Ġrough ly", - "Ġo ption", - "ĠArmen ian", - "ĠEle ction", - "Ġl ap", - "E D", - "c are", - "ĠL ost", - "Ġc ards", - "ĠCost a", - "m ate", - "ĠColl ins", - "ĠGl en", - "Ġpo ems", - "cel and", - "Ġassoci ate", - "ĠT ib", - "ĠC BS", - "Ġbound ary", - "en berg", - "st ery", - "St ar", - "ĠL ag", - "Ġal coh", - "Ġcompet ing", - "ir ation", - "Ġpropos al", - "Ġden ied", - "ĠL is", - "ge on", - "Ġe yes", - "Ġrel ief", - "ĠPriv ate", - "ĠEd ition", - "Ġ186 1", - "ĠPhoen ix", - "ĠT as", - "inn ati", - "ĠVin cent", - "ĠF isher", - "ab a", - "197 0", - "udd en", - "aj a", - "ra ck", - "ĠS outheast", - "198 4", - "Ġc atch", - "ĠTurn er", - "ĠR ank", - "u art", - "Ġ6 6", - "ĠGian ts", - "ew ork", - "ag g", - "Ġappe al", - "ĠC A", - "uck land", - "Ġcompon ents", - "ĠB aptist", - "ist ical", - "Ġrec re", - "ĠE U", - "ĠFilm ography", - "ĠCub a", - "ic on", - "ĠC ities", - "ĠUnivers al", - "Ġev al", - "ĠEs s", - "Ġfind ing", - "Ġ18 50", - "Ġ186 3", - "ĠB ible", - "ĠM A", - "ud es", - "ĠC ond", - "ac re", - "Ġcred it", - "ĠAzerbai jan", - "Ġim ag", - "ĠArchite cture", - "Ġf oss", - "Ġh ang", - "ĠS ah", - "ĠSp irit", - "Ġf ruit", - "Ġper cussion", - "Ġf al", - "te enth", - "ĠF ell", - "g ate", - "Ġpl us", - "Ġbran ches", - "Ġmess age", - "Ġexper iences", - "Ġthreat ened", - "ĠOriginal ly", - "Ġceleb rated", - "Ġass ign", - "ĠH ouses", - "Ġent ering", - "com mun", - "ĠF if", - "Ġexpl ained", - "ĠCommission er", - "ĠAnt ar", - "Ġentertain ment", - "ĠFl ight", - "ĠR at", - "ĠP ow", - "ĠSym phony", - "ĠIndust rial", - "Ġe ighth", - "Ġinvol vement", - "ĠPopul ation", - "at ar", - "ett a", - "Ġdou bles", - "an ne", - "ĠN E", - "Ġc m", - "ĠComp uter", - "Ġdem olished", - "ĠOver all", - "ĠPun jab", - "Ġdecl ined", - "Ġlic ense", - "Ġun f", - "Ġf ishing", - "l ater", - "m el", - "ĠS ite", - "Ġjur isd", - "ĠProf ile", - "Ġm oth", - "Ġdeb ate", - "Ġthe at", - "ĠRet urn", - "m od", - "Ġint ent", - "Ġswim ming", - "ĠAn cient", - "Ġhelp ing", - "Ġsp r", - "Ġaccount s", - "Ġ186 2", - "f ielder", - "ier ra", - "ĠS ad", - "Ġcous in", - "Ġconserv ation", - "ĠArt ist", - "ry pt", - "Ġg ather", - "Ġachie ve", - "b ane", - "il arly", - "ĠCra ig", - "os ph", - "Ġsup posed", - "us ing", - "ĠN BC", - "C on", - "ĠHer bert", - "Ġre nd", - "ty pe", - "Ġcontrovers y", - "Ġ188 4", - "ig o", - "ĠCommun ications", - "Ġra ise", - "ĠJer ry", - "Ġd ress", - "v ision", - "Ġst ring", - "ĠB ass", - "ĠG rey", - "Ġm ob", - "ot ton", - "Ġform ing", - "ĠCinc innati", - "is in", - "Ġinflu ential", - "ĠBarcel ona", - "st ers", - "D F", - "Ġcal cul", - "Ġex cell", - "ĠAl ong", - "Ġw arm", - "Ġstud ying", - "ĠJ oy", - "h ill", - "Ġmiss ions", - "Ġs olution", - "Ġf illed", - "ster dam", - "od ge", - "Ġprom pt", - "s a", - "ĠAdela ide", - "Ġaff ect", - "ĠH amb", - "w here", - "iss ue", - "re pre", - "ĠB ath", - "as p", - "Ġb en", - "Ġind icated", - "Ġ5 9", - "oy al", - "je ction", - "ĠL ions", - "Ġv ar", - "ĠA uckland", - "Ġlaw yers", - "hol m", - "ĠTh or", - "Ġrequ ires", - "M I", - "ĠC old", - "ĠH erman", - "ĠC ou", - "repre ne", - "198 3", - "ĠMun ich", - "Ġdra g", - "ĠSt art", - "ĠL P", - "ĠA viation", - "verse as", - "Ġarchitect ural", - ". :", - "A ll", - "ĠD og", - "hel m", - "ĠC S", - "g un", - "ĠH ugh", - "ag ar", - "Ġspirit ual", - "ĠShe l", - "ĠJ a", - "Ġcr ash", - "ĠC ob", - "Ġinj uries", - "Ġw restling", - "Ġparticip ation", - "Ġper haps", - "ĠWinn ers", - "ĠCan al", - "en cer", - "am pton", - "Ġor ient", - "Ġj ournals", - "ar ks", - "id o", - "ĠCroat ia", - "e or", - "ĠS z", - "ĠG oth", - "Ġprofess ion", - "ign ated", - "Ġsec ure", - "let t", - "ĠMag n", - "Ġvot ing", - "re hens", - "x i", - "ĠHe avy", - "ar at", - "and al", - "Ġ188 1", - "Ġp itch", - "m o", - "ĠD raft", - "ĠG round", - "ĠK ur", - "Ġd owntown", - "oc ation", - "ament al", - "Ġvess el", - "? \"", - "Ġcam era", - "ĠAngl ican", - "Ġrank ing", - "Ġinst ance", - "ĠCl ay", - "Ġ7 2", - "ĠB es", - "Ġcr imes", - "Ġsurround ed", - "Ġfr ame", - "Ġman ner", - "Ġc rop", - "Ġsh ut", - "ĠCr ime", - "ĠEx pl", - "Ġappro val", - "ĠBroadcast ing", - "ah o", - "ĠH av", - "Ġland scape", - "rib ute", - "ames e", - "ĠC ad", - "ot yp", - "Ġexist ed", - "Ġmark ets", - "Ġ6 7", - "ĠGon z", - "Ġperson ality", - "M L", - "ĠR ing", - "Ġbatt les", - "ĠS che", - "Ġ rif", - "ĠConserv ation", - "ah a", - "ĠH ann", - "Ġdep th", - "Ġele ven", - "e ed", - "ĠBe ijing", - "y t", - "Ġrepresent ation", - "inent al", - "ig ible", - "d est", - "Ġper fect", - "Ġse gment", - "Ġprot ests", - "ĠLl oyd", - "Ġsold ier", - "ĠY ang", - "Ġcor rect", - "r ub", - "ĠS ig", - "ĠS now", - "so ft", - "Ġm ir", - "ĠI celand", - "ĠB our", - "Ġann ually", - "Ġt ribut", - "f ly", - "Ġcomplet ion", - "at ically", - "Ġdon ated", - "ĠPer formance", - "ĠSystem s", - "ĠM asters", - "ĠArch ae", - "ont in", - "Ġl ob", - "Ġv ic", - "ĠTer ry", - "ab ilities", - "om on", - "Ġout put", - "Ġser ial", - "ĠB ris", - "ĠMont ana", - "ellect ual", - "ĠF inals", - "Ġex ternal", - "Ġthem es", - "Ġd ub", - "ĠBe h", - "born e", - "Ġnet works", - "Ġth in", - "Ġ8 5", - "Ġsk in", - "ia ble", - "ĠKe ith", - "Ġrepresent atives", - "ĠP el", - "p ine", - "ĠP ack", - "Ġmod ified", - "ĠY ale", - "Ġinf antry", - "p read", - "ĠArab ic", - "Ġcab inet", - "Ġf ear", - "Ġc ool", - "ĠB att", - "ul i", - "Ġsurv iving", - "iss ions", - "ĠIndust ry", - "ĠG ay", - "ĠF am", - "Ġconc rete", - "ĠP ont", - "if ican", - "iz ations", - "Ġpubl isher", - "Ġw ides", - "Ġb on", - "ĠWith in", - "ĠV I", - "ĠPol icy", - "ine e", - "Ġequip ped", - "Ġvis itors", - "ic ial", - "N S", - "ĠTy pe", - "ĠSh aw", - "ĠSte vens", - "iv ation", - "Ġhon ors", - "O M", - "197 9", - "ĠLar ry", - "Ġre act", - "oun ced", - "ĠThe od", - "amp a", - "E P", - "ĠMer c", - "Ġcirc uit", - "ĠC atherine", - "Ġn av", - "ĠEth iop", - "Ġlast ed", - "ĠM ig", - "ifican ce", - "Ġstrong ly", - "Ġgen re", - "ĠBulg arian", - "h um", - "ĠA ber", - "Ġyoung est", - "Ġre un", - "ĠG olf", - "Ġto ols", - "s is", - "Ġ188 2", - "Ġincreasing ly", - "ĠW es", - "ĠVenezuel a", - "ĠSe b", - "Ġdra f", - "ĠH ad", - "Ġd ream", - "ĠB uch", - "Ġk g", - "m ath", - "il ty", - "Ġcon gress", - "ĠRepresent ative", - "Ġtrib e", - "ĠInd ividual", - "Ġcolle ct", - "p p", - "ĠM ason", - "ĠForm ula", - "Ġd iam", - "ĠHen ri", - "Ġcent ers", - "Ġmart ial", - "Ġhapp ened", - "Ġsh ares", - "Ġille gal", - "Ġrep utation", - "ĠF uture", - "% ,", - "ĠG w", - "Ġadop t", - "ĠVeg as", - "Ġext ens", - "Ġrow span", - "Ġtransport ation", - "Ġabs or", - "ich i", - "Ġplatform s", - "ĠStat istics", - "ĠHud son", - "Ġpred e", - "Ġ9 5", - "ĠS A", - "Ġre pro", - "a uc", - "enn ial", - "ocrat ic", - "Ġvis iting", - "Ġs oul", - "ol in", - "Ġn one", - "ug s", - "i u", - "Ġpan el", - "ĠS alt", - "ĠAm sterdam", - "Ġb es", - "c alled", - "ĠP aint", - "bu ild", - "ĠS ask", - "ĠGo ogle", - "Ġne ut", - "cer ts", - "ro t", - "ĠLeg acy", - "us k", - "ag re", - "ĠEnvironment al", - "ke ley", - "oc al", - "Ġpr on", - "Ġmin imum", - "ĠB rew", - "Ġinn ings", - "Ġw ine", - "Ġhtt ps", - "t ical", - "oun sel", - "Ġplay offs", - "Ġdecl ine", - "ĠBulg aria", - "ĠBr un", - "ick ets", - "ĠG ust", - "ĠUn like", - "Ġs we", - "Ġatt orney", - "grad uate", - "ĠAtt orney", - "ĠSte ven", - "Ġa cted", - "ĠOr ig", - "ent e", - "Ġt ests", - "ĠMar vel", - "ĠNor folk", - "Ġdist inguished", - "b ound", - "Ġbelong ing", - "c z", - "ĠOper ations", - "Ġd ig", - "Ġpre gn", - "ac le", - "\" ;", - "ĠL an", - "osp itals", - "ĠB og", - "Ġsat isf", - "ash a", - "Ġcont ested", - "Ġcan n", - "Ġsurg ery", - "Ġt as", - "m ates", - "ĠBel arus", - "Ġsettle ments", - "ph al", - "d d", - "Ġbe ar", - "ĠM ix", - "od s", - "iz er", - "ing en", - "ĠM ann", - "ĠVerm ont", - "ĠT erm", - "Ġro ut", - "Ġatt ributed", - "se cts", - "Ġpreserv ed", - "el i", - "Ġto w", - "b us", - "w inning", - "Ġpost ed", - "ĠM az", - "or o", - "ig rated", - "Ġsc ope", - "Ġstat ue", - "Ġem igrants", - "ĠC ann", - "Ġsub t", - "Ġagric ulture", - "ast s", - "ĠTreat y", - "! \"", - "Ġan ch", - "ĠHar old", - "Ġelev ation", - "ĠN umber", - "Ġmerch ant", - "L P", - "ĠCamp aign", - "Ġmain tenance", - "Ġd rew", - "Ġbene fit", - "Don ald", - "itar ian", - "Ġcancell ed", - "Ġphil os", - "Ġrul ing", - "ĠD iamond", - "en os", - "ĠH orse", - "L a", - "ĠG ot", - "it is", - "ĠCur t", - "Ġcontin uing", - "Ġg olf", - "Ġag ents", - "ĠLu x", - "b rid", - "ĠRob in", - "ograp hers", - "Ġf ix", - "Ġdom ain", - "Ġbe ach", - "ĠL ie", - "198 2", - "z es", - "Ġcou ples", - "Ġdis pl", - "Ġsee k", - "Ġsub d", - "ĠS P", - "ĠC P", - "Ġhon our", - "Ġthir ty", - "Ġsched ule", - "ang erous", - "Ġc inema", - "Ġspok en", - "iction ary", - "ĠH ob", - "Ġinc idents", - "at che", - "Ġ6 8", - "B B", - "Ġkey boards", - "Ġex pect", - "Ġven ue", - "Ġf ighter", - "Ġrecomm ended", - "ĠSh in", - "b es", - "Ġdraw ing", - "' ve", - "Ġpopul ations", - "ĠD ays", - "Ġval id", - "ĠB right", - "ĠP ic", - "ul ations", - "ĠN S", - "ĠDeath s", - "Ġconsider able", - "Ġ1 000", - "Ġtre ated", - "ij i", - "ĠBy z", - "Ġmeet ings", - "Ġrele ases", - "t r", - "Ġparticip ants", - "Ġspe ak", - "ĠAn im", - "f ire", - "ra v", - "ĠBuddh ist", - "ĠDel aware", - "ĠDen ver", - "end ar", - "Ġform ations", - "A s", - "ub le", - "o j", - "Ġmod e", - "ĠSpr ings", - "Ġunder ground", - "Ġ187 6", - "ĠCommun es", - "ĠMan uel", - "ĠBos nia", - "Ġlong est", - "ĠB uc", - "Ġcoach ing", - "ĠM S", - "ĠManag er", - "ĠKen ya", - "Ġp ric", - "ro ck", - "Ġ188 3", - "Ġat mosp", - "Ġwides pread", - "Ġ25 0", - "ops is", - "arc hers", - "Ġan ime", - "Ġsat ellite", - "Ġsomew hat", - "ĠHel en", - "ch ild", - "ĠEn cyclop", - "Ġplan et", - "c at", - "ĠDrag on", - "D C", - "Ġfrequ ency", - "ĠF un", - "Ġchang ing", - "ĠN HL", - "Ġcharacter istics", - "Ġbir d", - "Ġfl ed", - "M ay", - "ĠIn v", - "Ġsu fficient", - "ĠErn est", - "ĠSy ria", - "ke ep", - "Ġres olution", - "Ġsh ore", - "Ġfest ivals", - "ĠBob by", - "Ġchap el", - "ĠP oll", - "Ġrelationship s", - "198 1", - "am ics", - "ĠT on", - "id en", - "Ġmod er", - "ĠCo al", - "Ġten ure", - "Ġpremi ere", - "ĠS ak", - "Ġgro wn", - "st own", - "Ġoccas ionally", - "Ġearth qu", - "Ġbo ats", - "g el", - "ĠM end", - "Ġf urn", - "ĠEd wards", - "Ġbl ocks", - "Ġg ay", - "ĠAt hens", - "ĠIndones ian", - "ult ane", - "Ġrese archers", - "Ġph one", - "ac o", - "Ġar c", - "Ġdepart ure", - "Ġreported ly", - "Ġex pos", - "onym ous", - "ĠPer ry", - "ĠRog ers", - "Ġill ness", - "b in", - "Ġjob s", - "ĠWar ri", - "ĠFrid ay", - "Ġac know", - "gi ate", - "Ġf ile", - "Ġany thing", - "Ġ187 8", - "Ġch amber", - "ust ed", - "Ġsaf e", - "ter ior", - "ia st", - "Ġinaug ural", - "Ġsp oke", - "ĠAd vis", - "ĠHol land", - "Ġhigh light", - "Ġgovern ments", - ". '", - "Ġpat rol", - "b ow", - "ĠS or", - "Ġindic ates", - "Ġab road", - "ĠL ion", - "ĠMah ar", - "Ġprin ted", - "C an", - "h igh", - "b ird", - "ĠTe ch", - "ĠHispan ic", - "ĠH ope", - "ĠT oy", - "Ġviol in", - "ur ring", - "ĠD ennis", - "Ġremain der", - "Ġcontrovers ial", - "ĠI C", - "ĠNiger ian", - "ĠEconom y", - "ĠClin ton", - "ĠG ang", - "ĠS ay", - "Ġinters ection", - "ĠK rist", - "ĠN y", - "ancell or", - "op es", - "ĠPed ro", - "Ġsur f", - "ĠPers ian", - "duc er", - "Ġt act", - "Ġtem por", - "Ġh a", - "Ġere cted", - "Ġwh ilst", - "ip er", - "ĠN an", - "Ġbu y" - ] - } -} \ No newline at end of file From c59749d1442d6a45b172d8bab838ee785e431b94 Mon Sep 17 00:00:00 2001 From: bobbycxy Date: Fri, 20 Sep 2024 17:03:40 +0800 Subject: [PATCH 190/209] adding 10B T for Fineweb-edu --- .../10m-nv_1m-weight_tying_no-hidden_256-vocab_1950.yaml | 2 +- trainers/data_utils.py | 4 +++- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_256-vocab_1950.yaml b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_256-vocab_1950.yaml index dd20e5b5..e986c37e 100644 --- a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_256-vocab_1950.yaml +++ b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_256-vocab_1950.yaml @@ -40,7 +40,7 @@ model: trainer: trainer_type: base_trainer - dataset: fineweb_edu_100B + dataset: fineweb_edu_10B batch_size: 24 gradient_accumulation_steps: 10 diff --git a/trainers/data_utils.py b/trainers/data_utils.py index 4ce77b41..a30f613c 100644 --- a/trainers/data_utils.py +++ b/trainers/data_utils.py @@ -77,7 +77,9 @@ dataset_name="Muennighoff/natural-instructions", lambda_fn=lambda x: {"text": f"Task: Definition: {x['definition']}\nQuestion: {x['inputs']}\nAnswer: {x['targets']}"} ), - "fineweb_edu_100B": lambda: load_dataset("HuggingFaceFW/fineweb-edu", "sample-100BT") + "fineweb_edu_100B": lambda: load_dataset("HuggingFaceFW/fineweb-edu", "sample-100BT"), + "fineweb_edu_10B": lambda: load_dataset("HuggingFaceFW/fineweb-edu", "sample-10BT") + } From c324fbe3ccf3450ac13a5c40234c1a9b1546dce4 Mon Sep 17 00:00:00 2001 From: bobbycxy Date: Sat, 21 Sep 2024 15:09:34 +0800 Subject: [PATCH 191/209] revise max and warmup iters --- .../10m-nv_1m-weight_tying_no-hidden_256-vocab_1950.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_256-vocab_1950.yaml b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_256-vocab_1950.yaml index e986c37e..ce11eba9 100644 --- a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_256-vocab_1950.yaml +++ b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_no-hidden_256-vocab_1950.yaml @@ -44,7 +44,7 @@ trainer: batch_size: 24 gradient_accumulation_steps: 10 - max_iters: 50000 + max_iters: 25000 eval_interval: 5000 log_interval: 10 checkpoint_interval: 10000 @@ -80,7 +80,7 @@ trainer: lr_scheduler: name: cosine - warmup_iters: 2500 + warmup_iters: 1000 dataloader: name: standard From d2c2b3e862ef87d47f07a8b63d217c73cb8790ff Mon Sep 17 00:00:00 2001 From: bobbycxy Date: Mon, 23 Sep 2024 14:29:24 +0800 Subject: [PATCH 192/209] revised the max and warmup iters, and switched to 10B dataset. --- .../10m-nv_1m-weight_tying_yes-hidden_512-vocab_1950.yaml | 6 +++--- .../10m-nv_2m-weight_tying_no-hidden_512-vocab_1950.yaml | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_512-vocab_1950.yaml b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_512-vocab_1950.yaml index 6c1d57e9..cd8dd292 100644 --- a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_512-vocab_1950.yaml +++ b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_512-vocab_1950.yaml @@ -40,11 +40,11 @@ model: trainer: trainer_type: base_trainer - dataset: fineweb_edu_100B + dataset: fineweb_edu_10B batch_size: 24 gradient_accumulation_steps: 10 - max_iters: 50000 + max_iters: 25000 eval_interval: 5000 log_interval: 10 checkpoint_interval: 10000 @@ -80,7 +80,7 @@ trainer: lr_scheduler: name: cosine - warmup_iters: 2500 + warmup_iters: 1000 dataloader: name: standard diff --git a/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_512-vocab_1950.yaml b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_512-vocab_1950.yaml index d29418c4..b4598781 100644 --- a/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_512-vocab_1950.yaml +++ b/configs/train/baseline-vocab-size/10m-nv_2m-weight_tying_no-hidden_512-vocab_1950.yaml @@ -40,11 +40,11 @@ model: trainer: trainer_type: base_trainer - dataset: fineweb_edu_100B + dataset: fineweb_edu_10B batch_size: 24 gradient_accumulation_steps: 10 - max_iters: 50000 + max_iters: 25000 eval_interval: 5000 log_interval: 10 checkpoint_interval: 10000 @@ -80,7 +80,7 @@ trainer: lr_scheduler: name: cosine - warmup_iters: 2500 + warmup_iters: 1000 dataloader: name: standard From d0b019674b97a310bf48e7121a4edeb8acfe2c69 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Thu, 10 Oct 2024 13:50:01 +0800 Subject: [PATCH 193/209] .item() --- evals/mcqs/load_benchmarks.py | 2 + evals/mcqs/mcq_evaluator.py | 2 +- .../bpe_en_wiki_4000_simplified.model | 7994 +++++++++++++++++ trainers/base_trainer.py | 13 +- 4 files changed, 8001 insertions(+), 10 deletions(-) create mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_4000_simplified.model diff --git a/evals/mcqs/load_benchmarks.py b/evals/mcqs/load_benchmarks.py index 1838af98..2c874867 100644 --- a/evals/mcqs/load_benchmarks.py +++ b/evals/mcqs/load_benchmarks.py @@ -251,6 +251,8 @@ def load_commonsense_qa(num_samples=None): [f"Answer: {choice}" for i, choice in enumerate(sample["choices"]["text"]) if i != correct_idx] ) +def load_ewok(num_samples=None): + EVALS_DICT = { diff --git a/evals/mcqs/mcq_evaluator.py b/evals/mcqs/mcq_evaluator.py index 109a715e..89c569bd 100644 --- a/evals/mcqs/mcq_evaluator.py +++ b/evals/mcqs/mcq_evaluator.py @@ -77,6 +77,6 @@ def evaluate(self): accuracy = self.evaluate_benchmark( benchmark_name=benchmark_name, num_samples=self.num_samples ) - results[f"MCQ/{benchmark_name}"] = accuracy.item() + results[f"MCQ/{benchmark_name}"] = accuracy return results diff --git a/models/components/layers/tokenizer_models/bpe_en_wiki_4000_simplified.model b/models/components/layers/tokenizer_models/bpe_en_wiki_4000_simplified.model new file mode 100644 index 00000000..825f73e8 --- /dev/null +++ b/models/components/layers/tokenizer_models/bpe_en_wiki_4000_simplified.model @@ -0,0 +1,7994 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 0, + "content": "[PAD]", + "single_word": false, + "lstrip": false, + "rstrip": false, + 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"ar l", + "Ġre le", + "Ġf l", + "c c", + "Ġs pec", + "en n", + "as h", + "Ġon ly", + "Ġbet ween", + "i am", + "ag ue", + "Ġf am", + "Ġb ir", + "Ġre l", + "re at", + "ĠF or", + "Ġse ason", + "p ro", + "Ġ Q", + "e at", + "ist ric", + "ĠA t", + "op ul", + "Ġs y", + "ĠN ational", + "ĠW ar", + "Ġ ed", + "ist ory", + "Ġar t", + "if ic", + "ĠS p", + "s on", + "ĠCom m", + "er man", + "ĠI s", + "Ġab out", + "ĠA ust", + "Ġth ree", + "ĠJoh n", + "\" .", + "Ġin ter", + "Ġm ost", + "ct or", + "f ore", + "ĠW orld", + "le y", + "ĠF ran", + "ĠP h", + "th s", + "ĠC on", + "Ġre m", + "Ġf ollow", + "Ġ 9", + "Ġm ade", + "Ġal bum", + "Ġl ater", + "Ġs ing", + "Ġth rough", + "iel d", + "in ist", + "un e", + "om en", + "Ġ end", + "Ġ1 0", + "iv er", + "iv ed", + "ĠB e", + "ers on", + "r on", + "Ġsec ond", + "Ġthe m", + "ro s", + "ĠB rit", + "ĠB l", + "og raph", + "Ġw rit", + "ĠM ay", + "an k", + "us s", + "Ġn um", + "Ġm ov", + "Ġthe re", + "Ġ19 3", + "Ġthe n", + "Ġd ire", + "m p", + "ĠC an", + "Ġde f", + "Ġus ed", + ". \"", + "ĠJ an", + "er m", + "ow er", + "es e", + "vel op", + "u res", + "he n", + "Ġrec ord", + "ar g", + "Ġin v", + "em ent", + "istric t", + "Ġt rans", + "os s", + "t en", + "Ġs o", + "er t", + "Ġm ed", + "e e", + "ar i", + "Ġ1 6", + "ar s", + "Ġs chool", + "Ġkn own", + "Ġs et", + "a i", + "ĠCount y", + "ĠA d", + "y s", + "\" ,", + "Ġ ent", + "Ġbec ame", + "2 00", + "Ġs uch", + "st it", + "Ġest abl", + "ĠO r", + "Ġ1 5", + "Ġa m", + "is m", + "ĠS outh", + "ĠG e", + "Ġpro v", + "c y", + "ur al", + "it s", + "Ġp h", + "Ġin c", + "ment s", + "Ġth an", + "ĠS chool", + "amp ion", + "tern ational", + "u ro", + "ĠG erman", + "ĠM e", + "a x", + "is e", + "Ġf our", + "p os", + "Ġ &", + "ĠN ov", + "Ġs eries", + "ĠJ u", + "Ġbe ing", + "Ġs ome", + "ur ch", + "Ġle ad", + "Ġ| -", + "Ġb l", + "Ġp opul", + "Ġ .", + "e ver", + "ĠW est", + "ut e", + "Ġc all", + "Ġs ong", + "ay s", + "Ġinclud ing", + "ot her", + "j ect", + "le t", + "et h", + "Ġgro up", + "Ġagain st", + "a e", + "Ġw ell", + "are er", + "Ġd o", + "i ke", + "Ġap pe", + "ĠP ol", + "ĠA fter", + "b orn", + "Ġde ath", + "ug ust", + "Ġac c", + "ar ri", + "Ġc ount", + "t y", + "Ġc re", + "ction s", + "ian s", + "ĠP r", + "u ary", + "ĠW h", + "am ed", + "pt ember", + "ĠAust ral", + "v en", + "st em", + "at her", + "t il", + "ĠY ork", + "ar n", + "ire d", + "ul l", + "b y", + "m y", + "er ed", + "r id", + "ver y", + "ut ion", + "e y", + "ĠA ugust", + "Ġbe fore", + "ĠBrit ish", + "Ġre ce", + "= \"", + "ĠO ct", + "el s", + "Ġ1 2", + "Ġad d", + "Ġwh ile", + "r ist", + "Ġs ur", + "ĠSe ptember", + "Ġs ign", + "Ġpol it", + "iv es", + "ĠMar ch", + "overn ment", + "00 0", + "Ġb ro", + "Ġde c", + "Ġsh ow", + "ĠC ent", + "a id", + "Ġoff ic", + "Ġbu ild", + "Ġde velop", + "Ġo per", + "ĠOct ober", + "olog y", + "Ġg o", + "el f", + "Ġfam ily", + "Ġun til", + "Ġc ap", + "le v", + "ĠM an", + "x t", + "Ġm usic", + "Ġm ay", + "pr il", + "iz ed", + "ow ever", + "ĠJ une", + "a u", + "r and", + "Ġo wn", + "f ess", + "Ġn o", + "Ġre p", + "ĠJan uary", + "ic a", + "Ġor ig", + "er y", + "Ġm ain", + "m ber", + "Ġm od", + "Ġh igh", + "ĠAs s", + "ĠJu ly", + "en g", + "ĠAl l", + "Ġbir ths", + "emb ers", + "ĠC ar", + "1 0", + "l ish", + "ist or", + "Ġch ar", + "Ġb oth", + "ĠN orth", + "Ġplay ed", + "olle ge", + "Ġm on", + "Ġman y", + "Ġnum ber", + "ot t", + "et s", + "ĠC o", + "ĠLe ague", + "Ġex p", + "om an", + "Ġn ame", + "ut h", + "ampion ship", + "ĠA pril", + "cent ury", + "ward s", + "Ġb ack", + "Ġ19 2", + "ant s", + "v ed", + "i ent", + "ĠCan ad", + "ĠE uro", + "it t", + "ĠSe e", + "Ġrele ased", + "ce mber", + "Ġe m", + "st ru", + "ĠG u", + "ain ed", + "ĠB o", + "en e", + "i or", + "p le", + "Ġg u", + "g ram", + "1 7", + "ĠE d", + "is c", + "Ġfor mer", + "ĠC ol", + "ĠNov ember", + "it al", + "Ġse ver", + "iss ion", + "ĠA m", + "ĠEng lish", + "Ġan n", + "Ġw on", + "i um", + "in es", + "e c", + "he s", + "port s", + "Ġdes ign", + "p or", + "ic ip", + "ce pt", + "ĠRe g", + "ĠW ill", + "ĠDe cember", + "Ġm at", + "ĠC ity", + "Ġ1 4", + "ra ct", + "ĠF l", + "aj or", + "Ġdes c", + "y l", + "ros s", + "Ġ1 3", + "Ġl ife", + "Ġare a", + "im es", + "ir d", + "Ġst art", + "ĠC al", + "ĠA f", + "Ġor gan", + "r is", + "duc ed", + "Ġop en", + "Ġf eat", + "are d", + "ĠSt ate", + "re t", + "f l", + "Ġg ame", + "ag es", + "Ġd if", + "v ent", + "res ident", + "Ġr un", + "k et", + "u es", + "Ġfilm s", + "l ed", + "ro p", + "Ġpro du", + "p art", + "Ġ1 1", + "ar m", + "et y", + "Ġm en", + "Ġ201 0", + "Ġcl ass", + "ograph y", + "Ġ2 1", + "y le", + "Ġex t", + "ap an", + "il t", + "eb ru", + "Ġs m", + "lev ision", + "ebru ary", + "Ġpubl ic", + "un g", + "ĠK ing", + "ĠI I", + "Ġst ate", + "Ġsy stem", + "ĠP ar", + "Ġl ong", + "Ġo b", + "ual ly", + "Ġd r", + "ar ch", + "ĠB ro", + "f ul", + "Ġf inal", + "Ġc areer", + "il it", + "n er", + "ĠH is", + "Ġs ame", + "ul ar", + "an c", + "a use", + "Ġcall ed", + "am b", + "vi ew", + "Ġfollow ing", + "ĠF ebruary", + "in c", + "z e", + "ov e", + "y n", + "Ġret urn", + "Ġf in", + "on y", + "Ġc ity", + "Ġw ill", + "iv ision", + "ĠEuro pe", + "ĠS w", + "a f", + "h ip", + "Ġch ild", + "r at", + "al es", + "ak ing", + "Ġsever al", + "Ġcomm un", + "ren ch", + "il ity", + "Ġw omen", + "re nt", + "oin t", + "ĠM ed", + "or ks", + "ĠJ apan", + "s p", + "an ge", + "ch n", + "ial ly", + "c om", + "c on", + "ure d", + "Ġl ist", + "Ġs uc", + "ĠGe or", + "p ed", + "Ġe arly", + "Ġa ir", + "ĠB ar", + "Ġcont in", + "Ġ '", + "Ġto wn", + "Ġcomp et", + "Ġcl ub", + "ĠE l", + "Ġm in", + "Ġres ult", + "h am", + "ib le", + "1 2", + "ĠA nd", + "ĠH ar", + "ĠH istory", + "is ed", + "al ly", + "Ġs ince", + "ic es", + "ain s", + "st er", + "19 9", + "ĠThe y", + "ĠP art", + "b o", + "r ing", + "Ġn ear", + "ang u", + "Ġn amed", + "Ġorig inal", + "end ed", + "u ed", + "ĠCh rist", + "at a", + "Ġhe ad", + "ĠA b", + "1 6", + "Ġb el", + "Ġdis c", + "Ġpl ace", + "ĠF rench", + "id ed", + "i ence", + "Ġ201 1", + "ĠRe p", + "Ġc ur", + "Ġbe gan", + "il le", + "Ġt it", + "Ġus e", + "iv al", + "an e", + "re en", + "Ġpro gram", + "ĠU S", + "Ġv ill", + "Ġm ember", + "Ġm embers", + "1 5", + "Ġp rom", + "Ġhe ld", + "Ġan y", + "Ġl and", + "ĠCom p", + "Ġb ased", + "ain t", + "ĠR es", + "ĠM c", + "Ġthe se", + "Ġcomp le", + "b le", + "Ġap p", + "m e", + "Ġsup port", + "oun c", + "ĠAf ric", + "al ity", + "Ġg overnment", + "r ight", + "Ġ200 8", + "ĠR uss", + "Ġm et", + "Ġ201 2", + "Ġw e", + "ĠR o", + "a ugh", + "Ġ19 0", + "ĠA ir", + "Ġestabl ished", + "i ous", + "Ġal ong", + "Ġe ff", + "t he", + "Ġ ,", + "ĠE ast", + "ĠCh ampionship", + "Ġdesc rib", + "T he", + "in ess", + "Ġen g", + "ition s", + "ĠC ollege", + "Ġp ass", + "ĠWill iam", + "ĠG en", + "an a", + "od e", + ". .", + "Ġd ist", + "pe ct", + "al th", + "ad em", + "Ġ200 9", + "Ġloc ated", + "ur g", + "u k", + "ĠThe re", + "at or", + "ical ly", + "ĠH er", + "or m", + "ac ed", + "Ġd id", + "Ġl aw", + "in o", + "Ġc ol", + "Ġo cc", + "Ġchar act", + "che s", + "f ord", + "ĠAr t", + "c ol", + "at s", + "i en", + "ubl ic", + "ĠP eople", + "Ġp os", + "Ġy ou", + "Ġ201 3", + "ond on", + "ĠN e", + "oci ation", + "ĠIt al", + "Ġ200 6", + "Ġ200 7", + "Ġh ouse", + "Ġe ach", + "t o", + "ĠH igh", + "ing ton", + "ore d", + "Ġ201 4", + "ro w", + "Ġ201 6", + "Ġserv ed", + "our t", + "ĠF ilm", + "Ġto ok", + "qu e", + "Ġs im", + "k y", + "Ġ X", + "1 4", + "ĠRe c", + "Ġb and", + "Ġt r", + "Ġst ation", + "Ġh ome", + "ĠD istrict", + "Ġb us", + "av ing", + "ĠS y", + "ĠIn ternational", + "Ġb orn", + "Ġg ames", + "Ġn ational", + "m ed", + "ly mp", + "i et", + "ĠA c", + "Ġin st", + "Ġ201 5", + "re w", + "er g", + "Ġpro fess", + "in ed", + "Ġ201 8", + "ight s", + "p s", + "Ġcomp any", + "Ġl ine", + "Ġp erson", + "1 3", + "ĠO lymp", + "Ġpopul ation", + "Ġm ajor", + "Ġ18 9", + "ac es", + "our n", + "Ġ20 20", + "ĠD av", + "ill ion", + "ĠL iving", + "ĠL ondon", + "Ġ201 7", + "ĠSe c", + "Ġs l", + "Ġb as", + "Ġj oin", + "Ġsm all", + "Ġle g", + "Ġloc al", + "ĠInd ian", + "ĠL a", + "ard s", + "Ġv ari", + "Ġrece ived", + "Ġde b", + "Ġev ent", + "Ġ2 5", + "Ġgen eral", + "Ġman ag", + "Ġpubl ished", + "Ġte levision", + "ĠC up", + "et t", + "Ġcent ury", + "ĠN ot", + "ilit ary", + "s ide", + "et er", + "Ġ3 0", + "at ure", + "Ġ201 9", + "Ġsing le", + "Ġbu ilt", + "ĠS up", + "Ġv i", + "ĠPh il", + "a ul", + "Ġd ue", + "Ġc ould", + "Ġv ers", + "ĠH owever", + "Ġ $", + "Ġap pro", + "ar ge", + "Ġw orld", + "Ġspec ies", + "ar a", + "Ġc olle", + "um n", + "Ġsuc cess", + "ie f", + "ounc il", + "Ġp o", + "v ers", + "Ġst r", + "in t", + "Ġa round", + "ord ing", + "if ied", + "ĠA ng", + "uth or", + "id es", + "at ely", + "om in", + "ĠG l", + "Ġo ld", + "Ġed uc", + "ĠT r", + "arri ed", + "ĠL ist", + "ĠN o", + "Ġt erm", + "is on", + "ro l", + "ĠC or", + "um mer", + "Ġa ge", + "ff ic", + "l ing", + "ĠT ra", + "ĠH ouse", + "Ġhe l", + "Ġal ign", + "Ġe p", + "ord s", + "e f", + "oc ial", + "ĠP ark", + "r ation", + "Ġp resent", + "ĠP re", + "Ġle ft", + "Ġl ast", + "Ġs ix", + "ĠE n", + "Ġh istory", + "Ġn ow", + "i od", + "a im", + "Ġs aid", + "ĠS an", + "Ġt y", + "Ġ200 0", + "Ġrep resent", + "re et", + "a us", + "id d", + "ra ft", + "t t", + "Ġd ied", + "Ġplay er", + "op h", + "Ġ 0", + "Ġre st", + "1 1", + "Ġc amp", + "iz ation", + "ĠD uring", + "Ġc ar", + "Ġl a", + "um b", + "angu age", + "Ġto p", + "ne y", + "Ġp ar", + "ĠB r", + "on es", + "Ġvill age", + "Ġwith in", + "ĠM ich", + "Ġd et", + "iv en", + "Ġst yle", + "Ġf ive", + "Ġ200 5", + "Ġt ri", + "Ġn orth", + "Ġsh ort", + "Ġ2 4", + "v an", + "ĠR oy", + "Ġor der", + "ide o", + "Ġ18 8", + "Ġd ay", + "in k", + "ĠD es", + "o ks", + "et her", + "u f", + "Ġdescrib ed", + "ak es", + "s c", + "ow s", + "ur ther", + "19 8", + "ent ly", + "Ġth ird", + "Ġbuild ing", + "al k", + "Ġinclud e", + "ĠR iver", + "Ġinclud ed", + "Ġp ost", + "um ent", + "Ġd own", + "ast er", + "if orn", + "ĠP er", + "Ġdif fer", + "d ay", + "he m", + "ĠA g", + "Ġchild ren", + "Ġre port", + "ur s", + "ĠEng land", + "c o", + "ĠCh ar", + "Ġ202 1", + "att le", + "Ġre f", + "vi ous", + "Ġre qu", + "ĠS ch", + "ĠA ct", + "n a", + "er a", + "feren ce", + "Ġbec ause", + "ke y", + "t ain", + "iforn ia", + "Ġad m", + "ĠB y", + "th ough", + "Ġann oun", + "Ġl arge", + "Ġcons id", + "iv ely", + "re g", + "ĠG ro", + "ĠM al", + "Ġs outh", + "g round", + "Ġs on", + "ĠAustral ia", + "Ġ200 4", + "ic o", + "Ġd em", + "rid ge", + "ri end", + "Ġd istrict", + "ĠCal ifornia", + "l er", + "col or", + "Ġst and", + "ĠP ort", + "ĠB ra", + "Ġm ark", + "ĠM on", + "os p", + ". ,", + "use um", + "ct ure", + "Ġar ch", + "Ġp ower", + "inn ing", + "Ġst at", + "Ġbo ok", + "uc k", + "od y", + "ĠY ou", + "ĠPart y", + "en cy", + "Ġl o", + "Ġdeath s", + "ri pt", + "Ġ202 2", + "Ġc rit", + "ad io", + "it er", + "part ment", + "land s", + "in ing", + "Ġw ar", + "con om", + "um an", + "Ġappe ar", + "Ġc or", + "ĠD em", + "Ġm ale", + "Ġl arg", + "k a", + "Ġis s", + "ĠR oman", + "re st", + "Ġ18 6", + "Ġj ust", + "ist er", + "Ġ2 2", + "Ġre pl", + "ĠB el", + "c er", + "al d", + "al f", + "Ġw ater", + "Ġserv ice", + "g ed", + "Ġper iod", + "Ġn on", + "Ġper form", + "Ġadd ition", + "n ess", + "Ġres p", + "v es", + "Ġk ill", + "am ent", + "oci ety", + "ĠA nt", + "Ġde p", + "ee k", + "Ġv is", + "he l", + "our s", + "e le", + "Ġre fer", + "ĠS m", + "a ff", + "er ing", + "ĠO ne", + "Ġmov ed", + "ĠA ward", + "en se", + "Ġc r", + "ĠE m", + "Ġdiffer ent", + "iz e", + "Ġcur rent", + "ĠAustral ian", + "Ġro und", + "Ġl ike", + "ot e", + "rib ut", + "5 0", + "ĠAr my", + "Ġ2 3", + "Ġinc re", + "om b", + "Ġm illion", + "Ġl ed", + "k i", + "l ine", + "ĠN or", + "p ar", + "Ġt rad", + "Ġbus iness", + "am a", + "ĠA cc", + "t al", + "av y", + "her n", + "ĠM inist", + "Ġan other", + "Ġth ose", + "o on", + "Ġh istor", + "ĠR ober", + "op s", + "o f", + "Ġsh ip", + "Ġ18 7", + "Ġe qu", + "Ġst ill", + "and er", + "Ġ if", + "Ġf ather", + "Ġ el", + "Ġf ield", + "Ġw est", + "ĠJ ames", + "Ġd el", + "ĠInd ia", + "Ġex per", + "Ġa uthor", + "i ber", + "ĠM or", + "ĠSt e", + "d e", + "ep end", + "Ġf ac", + "c hed", + "iv il", + "Ġact iv", + "Ġh and", + "Ġcomp os", + "ĠCh urch", + "ĠM usic", + "Ġbe st", + "ĠGen eral", + "ĠFran ce", + "Ġp ort", + "Ġk m", + "o x", + "Ġannoun ced", + "Ġin ternational", + "Ġdeb ut", + "stru ction", + "Ġtit le", + "Ġcount ry", + "d om", + "ĠQ u", + "Ġs old", + "Ġf em", + "ĠTh om", + "Ġw in", + "as es", + "Ġ200 3", + "v ille", + "Ġ( )", + "Ġestabl ish", + "ĠY ear", + "19 7", + "u el", + "Ġcharact er", + "Ġe ast", + "Ġpolit ic", + "ĠGeor ge", + "ĠD ivision", + "f ield", + "un icip", + "us h", + "Ġs ide", + "c ast", + "Ġp at", + "Ġd ra", + "b e", + "ĠRoy al", + "Ġc ult", + "ourn al", + "ĠA p", + "an ish", + "re ad", + "Ġn ov", + "Ġa v", + "g color", + "Ġpre vious", + "ĠM ount", + "g in", + "Ġm ake", + "ĠEurope an", + "Ġ very", + "ri es", + "a el", + "ĠQ ue", + "ĠP e", + "ort hern", + "Ġa ward", + "ĠCl ub", + "ĠCanad ian", + "Ġset t", + "ug g", + "ĠAc adem", + "Ġele ction", + "Ġpro ject", + "ip p", + "l in", + "le x", + "ĠP al", + "Ġam ong", + "m s", + "ap p", + "ab or", + "Ġw orks", + "ĠV al", + "ĠG r", + "Ġ2 6", + "ĠCanad a", + "Ġ200 2", + "ĠE le", + "i us", + "ĠR ich", + "Ġf r", + "al ign", + "Ġro le", + "g es", + "Ġpro duced", + "ĠW hen", + "w ork", + "ĠP aul", + "Ġf e", + "Ġm ag", + "pl oy", + "for man", + "Ġle vel", + "ĠB u", + "o ff", + "Ġof ten", + "ol ution", + "Ġa ff", + "Ġl ate", + "Ġs pe", + "Ġre ad", + "Ġw eb", + "a pe", + "ĠDav id", + "ĠC ouncil", + "Ġth ough", + "Ġinv ol", + "Ġre se", + "Ġb gcolor", + "ĠF ootball", + "Ġp e", + "Ġ199 0", + "it ar", + "st on", + "at ch", + "Ġwrit ten", + "Ġex pl", + "Ġ2 8", + "Ġ2 7", + "or ies", + "im ent", + "ĠL ou", + "Ġeng ine", + "Ġf ore", + "ĠH ol", + "Ġep is", + "ĠAss ociation", + "Ġ es", + "stit ute", + "Ġad v", + "b ack", + "Ġte chn", + "ac ks", + "Ġ200 1", + "ĠW ith", + "b an", + "ĠR ed", + "Ġstart ed", + "Ġev en", + "ĠD r", + "umn i", + "Ġyou ng", + "Ġp oss", + "Ġall ow", + "o le", + "em pt", + "Ġcl os", + "iv id", + "o e", + "ro te", + "Ġm arried", + "it or", + "Ġg rad", + "ĠR ail", + "v al", + "Ġc ame", + "Ġoffic ial", + "Ġin it", + "Ġc over", + "Ġim port", + "ĠP resident", + "Ġcre ated", + "ĠAmer ica", + "ou ther", + "Ġw ent", + "form ation", + "Ġg iven", + "Ġs ite", + "Ġto tal", + "ol ic", + "g y", + "ir c", + "ĠSt reet", + "al t", + "Ġst ru", + "Ġe very", + "ĠF irst", + "Ġt urn", + "outher n", + "Ġcommun ity", + "y a", + "ĠF rom", + "ĠS ing", + "er ation", + "w est", + "oin ted", + "ĠSt ud", + "3 0", + "Ġjoin ed", + "ra p", + "om et", + "Ġv al", + "Ġeff ect", + "ĠH istor", + "it te", + "ĠK h", + "Ġra il", + "ot s", + "Ġpolit ical", + "Ġch ang", + "Ġwork ed", + "Ġwh at", + "Ġp res", + "Ġcon c", + "i j", + "Ġvari ous", + "ir on", + "Ġf re", + "Ġdevelop ment", + "ag o", + "ber t", + "ĠS en", + "ree k", + "ĠT own", + "Ġcon f", + "pos ed", + "s ite", + "ĠT rans", + "b or", + "ir l", + "Ġpro cess", + "m a", + "Ġ1 00", + "Ġt w", + "Ġv ideo", + "e al", + "Ġprofess ional", + "Ġele ct", + "her s", + "Ġf act", + "Ġm ilitary", + "ĠS l", + "ac hed", + "' t", + "ĠUn ion", + "Ġvers ion", + "at ic", + "olog ical", + "at ri", + "ĠGerman y", + "op e", + "re am", + "ĠGro up", + "Ġm uch", + "s elf", + "Ġpro te", + "Ġprodu ction", + "Ġh aving", + "Ġne xt", + "Ġcomm on", + "Ġb re", + "Ġcl aim", + "Ġbec ome", + "Ġspec ial", + "Ġg r", + "h old", + "ĠM art", + "Ġs ent", + "ĠH en", + "Ġm iss", + "Ġh ost", + "ĠB er", + "og n", + "Ġs w", + "ĠJ e", + "h ib", + "ĠV ir", + "ĠM ary", + "ĠM ag", + "Ġ198 0", + "ĠS er", + "ĠRo ad", + "o or", + "Ġus ing", + "ĠW e", + "Ġp ri", + "ĠBl ack", + "ĠAr ch", + "Ġ [", + "Ġdire ct", + "Ġreturn ed", + "ĠMe x", + "19 6", + "Ġw rote", + "Ġint ro", + "ĠP ri", + "Ġs it", + "Ġp resident", + "Ġpr im", + "m en", + "Ġt em", + "ĠItal ian", + "ĠM y", + "ĠJapan ese", + "Ġ199 9", + "est s", + "Ġ2 9", + "Ġg l", + "ĠAfric an", + "in ation", + "ĠT ur", + "Ġpos ition", + "Ġmat ch", + "h a", + "Ġan t", + "ict ion", + "ĠL aw", + "Ġdire ctor", + "i ography", + "m ing", + "ĠH all", + "oin ts", + "Ġteam s", + "Ġt ake", + "ĠW omen", + "Ġm ult", + "Ġch urch", + "Ġsong s", + "fl u", + "ĠThe se", + "Ġopen ed", + "Ġper forman", + "B C", + "ct s", + "il ar", + "ĠComm un", + "ĠW ash", + "ĠPro v", + "ivid ual", + "Ġf ew", + "Ġev ents", + "id a", + "Ġf un", + "ell ow", + "ĠG ames", + "Ġbe h", + "se qu", + "ĠS am", + "ĠRober t", + "arl iam", + "Ġv ol", + "ak en", + "ib r", + "itt le", + "ĠRuss ian", + "ĠLe g", + "an i", + "ent ion", + "e ad", + "ĠCh ina", + "oc rat", + "u le", + "ĠB est", + "l o", + "arliam ent", + "ar ian", + "g er", + "C A", + "ĠSc ott", + "2 1", + "Ġt imes", + "t ra", + "Ġst ory", + "Ġs ol", + "ĠO ther", + "ec ut", + "Ġpart icip", + "Ġw ay", + "Ġv oc", + "Ġfootball ers", + "y ing", + "ri an", + "Ġalbum s", + "ĠAcc ording", + "augh ter", + "Ġbe g", + "Ġh ig", + "ĠM ad", + "est ed", + "ĠC ap", + "ĠPl ay", + "un t", + "Ġf riend", + "Ġ199 8", + "ĠWash ington", + "it z", + "ĠC ourt", + "n ing", + "ic le", + "Ġatt ack", + "ket ball", + "ĠM iss", + "Ġro ad", + "stit ut", + "our ces", + "itte e", + "il es", + "an ies", + "Ġim p", + "Ġadm inist", + "ĠC ast", + "Ġpopul ar", + "Ġbro ther", + "Ġne ed", + "Ġwith out", + "ĠComp any", + "is l", + "ĠC ont", + "ĠThom as", + "at ter", + "Ġserv ices", + "ra g", + "an ces", + "a ur", + "Ġreg ion", + "end ing", + "Ġp ract", + "ĠS erv", + "Ġstud ents", + "idd le", + "Ġs k", + "Ġs ocial", + "od es", + "ĠC ath", + "Ġt er", + "ĠM en", + "ers hip", + "ĠS al", + "e x", + "wo od", + "ĠK n", + "a ign", + "Ġh alf", + "Ġbro ad", + "y ear", + "2 2", + "Ġg reat", + "Ġf ull", + "r ated", + "Ġcontin ued", + "Ġ197 0", + "Ġl ost", + "ĠA wards", + "ĠKing dom", + "ain ing", + "ĠCent ral", + "ĠS ociety", + "ac y", + "c raft", + "Ġco ach", + "y m", + "Ġm id", + "ĠM ont", + "ĠG rand", + "Ġal umni", + "ĠO p", + "us ed", + "Ġeduc ation", + "ra b", + "Ġrese arch", + "are nt", + "Ġ199 6", + "Ġatt empt", + "Ġs qu", + "Ġd ays", + "is ing", + "Ġh owever", + "ĠI r", + "b urg", + "Ġse e", + "ĠCh in", + "ens us", + "ĠRec ords", + "Ġprom ot", + "ap er", + "ĠM useum", + "4 0", + "Ġcomple ted", + "on a", + "Ġpro duc", + "Ġele cted", + "Ġapp ointed", + "ĠA lex", + "at ors", + "ĠChar les", + "ill s", + "ĠFl or", + "Ġcom b", + "ĠIs land", + "Ġinv est", + "Ġind ust", + "Ġin f", + "Ġ ident", + "est ival", + "in i", + "ĠD on", + "cent er", + "Ġpart y", + "ĠM et", + "Ġfound ed", + "Ġcont rol", + "Ġdire cted", + "ĠE duc", + "ĠCent er", + "Ġrecord ed", + "ĠTe x", + "Ġl im", + "Ġa ver", + "ific ation", + "u it", + "Ġr ight", + "ĠI m", + "r d", + "Ġ199 7", + "Ġsign ed", + "ĠE arly", + "Ġw ife", + "Ġe conom", + "ĠS ummer", + "amp le", + "l ess", + "Ġp oints", + "ber g", + "Ġpro per", + "Ġle ague", + "w h", + "as ons", + "Ġgroup s", + "Ġare as", + "2 3", + "Ġre view", + "Ġ18 5", + "Ġ /", + "ĠDe partment", + "Ġb ase", + "n el", + "Ġconsid ered", + "ish ing", + "ĠS im", + "Ġcon ne", + "Ġra ce", + "r ay", + "ĠAng el", + "ĠWest ern", + "Ġ202 3", + "ĠO ffic", + "Ġp oint", + "ĠJ ew", + "pl ay", + "Ġh on", + "ĠC he", + "Ġpart ic", + "Ġse le", + "at ural", + "ĠFran c", + "Ġre n", + "Ġf ind", + "Ġf urther", + "ĠV ict", + "j e", + "Ġm ar", + "= #", + "ĠT o", + "Ġc oll", + "ĠT V", + "Ġrel ations", + "ĠIn stitute", + "Ġc aus", + "ar ies", + "Ġv ict", + "ĠG old", + "ĠAcadem y", + "ĠLou is", + "ell s", + "Ġsim ilar", + "ĠOlymp ics", + "il i", + "Ġde g", + "ĠB ay", + "th let", + "Ġh old", + "ĠMich ael", + "Ġind ividual", + "way s", + "Ġto g", + "Ġre al", + "Ġpr iv", + "ĠG reat", + "Ġvi ew", + "ĠM ac", + "Ġweb site", + "Ġ z", + "id ence", + "ĠZ eal", + "Ġt en", + "ĠP ress", + "Ġtog ether", + "Ġ199 5", + "u ation", + "um p", + "Ġrele ase", + "ra in", + "ĠP at", + "ĠC ong", + "ĠZeal and", + "Ġ199 2", + "ric k", + "Ġin flu", + "ot a", + "ĠVir gin", + "ĠV ol", + "Ġreport ed", + "ĠChrist ian", + "Ġc ase", + "Ġappe ared", + "ĠM us", + "ĠRep ublic", + "ĠM er", + "ĠU K", + "et work", + "Ġ199 4", + "| |", + "ar ter", + "ar th", + "Ġs ports", + "Ġoff ice", + "ĠSp anish", + "ĠChin ese", + "Ġm other", + "ou l", + "ed eral", + "ĠAfric a", + "Ġtra ck", + "ĠK ore", + "m ar", + "Ġw eek", + "2 5", + "Ġ3 1", + "c ks", + "ĠT om", + "Ġ5 0", + "Ġm y", + "Ġk e", + "i que", + "Ġme et", + "Ġnov el", + "Ġcon d", + "Ġbir th", + "Ġdevelop ed", + "en c", + "Ġform ed", + "Ġin s", + "Ġh ous", + "it ive", + "y d", + "ak er", + "Ġ196 0", + "it ing", + "Ġmed al", + "ĠB ur", + "Ġhel p", + "Ġa ut", + "ĠCar ol", + "Ġgu itar", + "ad es", + "Ġla un", + "Ġass ist", + "ĠB en", + "Ġph ot", + "ĠIn ter", + "ĠT er", + "ul a", + "k n", + "ĠD an", + "ap t", + "Ġwork ing", + "e h", + "du ction", + "Ġd oc", + "Ġar r", + "Ġm aking", + "Ġimport ant", + "Ġto urn", + "c le", + "ĠG reen", + "i ers", + "Ġarch ite", + "ĠH am", + "ĠTex as", + "ail ed", + "ud e", + "re land", + "Ġart ist", + "Ġc ast", + "ĠWh ite", + "ĠP et", + "Ġgro w", + "ed y", + "Ġm unicip", + "Ġap pl", + "Ġg ood", + "im ately", + "it ted", + "ĠWh ile", + "ĠD el", + "Ġv ot", + "b and", + "ĠP ublic", + "Ġof fer", + "t a", + "id ing", + "ĠK e", + "ĠB as", + "c ial", + "ĠS ports", + "g o", + "Ġl ess", + "Ġtrad ition", + "Ġschool s", + "m on", + "ert ain", + "ic les", + "ĠMinist er", + "r as", + "ĠJ ose", + "Ġl ive", + "id ae", + "al a", + "ĠC ons", + "Ġd ata", + "ro ll", + "one y", + "it her", + "Ġph ys", + "Ġf und", + "Ġ199 3", + "ĠDem ocrat", + "Ġty p", + "Ġother s", + "ens ive", + "Ġh uman", + "Ġsh ould", + "Ġd aughter", + "ol a", + "ĠT or", + "ab ly", + "epend ent", + "at ives", + "Ġem ploy", + "Ġro ck", + "Ġd i", + "Ġgro und", + "ĠP eter", + "osp ital", + "Ġre v", + "ĠFran k", + "Ġrec ogn", + "Ġm ater", + "Ġhim self", + "Ġst ar", + "overn or", + "all s", + "v iron", + "Ġbuild ings", + "Ġde cl", + "Ġ =", + "re y", + "ĠCath olic", + "ĠM el", + "ĠS ong", + "ut y", + "ĠRich ard", + "le g", + "Ġr ul", + ") :", + "Ġac ross", + "az ine", + "Ġav ail", + "Ġf ire", + "Ġcomp anies", + "ĠS ur", + "g en", + "h i", + "ic ation", + "ĠSw ed", + "19 5", + "al y", + "ĠB ill", + "Ġb ody", + "p ite", + "s y", + "en a", + "ate g", + "ol f", + "Ġan im", + "ant ed", + "Ġcamp aign", + "Ġst ations", + "and ing", + "at re", + "Ġl anguage", + "sh ire", + "m ost", + "ri a", + "Ġe ight", + "19 4", + "um e", + "Ġdo es", + "ĠW il", + "b our", + "Ġaver age", + "ĠM ass", + "ĠL u", + "ĠU p", + "ĠF ore", + "Ġm ot", + "Ġ199 1", + "ce ed", + "Ġbl ack", + "Ġqu al", + "Ġex ist", + "Ġbec om", + "ĠPar is", + "ĠSec ond", + "Ġplay ing", + "ut es", + "ric ket", + "o ice", + "ra el", + "ĠL at", + "Ġt ro", + "g ress", + "Ġmod ern", + "Ġl ow", + "ĠHen ry", + "em or", + "Ġdef e", + "ĠSup er", + "ĠVict or", + "he ast", + "19 3", + "Ġh ow", + "ĠS ant", + "Ġepis ode", + "Ġ18 4", + "Ġp aint", + "st ro", + "Ġc le", + "Ġ et", + "ĠC ro", + "Ġgrad u", + "o res", + "S t", + "z il", + "Ġst age", + "Ġd ivision", + "Ġd ram", + "Ġex ample", + "Ġd er", + "ĠGeor g", + "Ġc ross", + "em ents", + "Ġ4 0", + "w rit", + "ud d", + "Ġr adio", + "ad a", + "Ġne ver", + "Ġl iving", + "air s", + "ĠD ire", + "Ġperform ed", + "h ood", + "Ġf oc", + "ĠL os", + "Ġfem ale", + "emb ly", + "ch ie", + "oc key", + "and id", + "Ġw inn", + "eth od", + "ĠH on", + "Ġl ight", + "ĠS ome", + "Ġse par", + "Ġart ists", + "Ġbel ie", + "ĠRe v", + "Ġf ree", + "ĠSm ith", + "Ġpolitic ian", + "Ġac qu", + "ĠP enn", + "Ġass oci", + "w are", + "ĠOr der", + "Ġf ight", + "t ime", + "ur a", + "ent ial", + "Ġcont ract", + "ov iet", + "2 4", + "ĠChampionship s", + "ĠL ake", + "ĠB ut", + "ibr ary", + "ough t", + "Ġstr ong", + "ign ed", + "Ġsuccess ful", + "Ġmon ths", + "ĠF C", + "Ġre d", + "Ġkill ed", + "at ory", + "im ate", + "Ġfin ished", + "ĠEduc ation", + "av al", + "Ġpl aces", + "id ents", + "Ġcon struction", + "ĠCh ic", + "he ad", + "pe ople", + "k ed", + "ĠI reland", + "ĠO l", + "Ġg ave", + "Ġestablish ments", + "Ġ198 8", + "ĠC amp", + "Ġm us", + "av es", + "ĠG o", + "Ġavail able", + "ĠDe f", + "Ġcon du", + "Ġa way", + "Ġgo al", + "Ġ198 9", + "v a", + "Ġperforman ce", + "if f", + "ell ing", + "ĠO b", + "ĠS aint", + "Ġt re", + "Ġal though", + "id s", + "ĠP an", + "as c", + "ish op", + "Ġpro t", + "Ġbo oks", + "ran ch", + "il ities", + "viron ment", + "it a", + "ĠS pec", + "Ġj ournal", + "an o", + "Ġin formation", + "Ġ ide", + "ĠD ay", + "ad o", + "inal s", + "z a", + "ic ated", + "ĠFilm s", + "he re", + "ĠOlymp ic", + "Ġd am", + "ĠC ur", + "Ġt aken", + "ĠV ill", + "ĠW in", + "ĠNot es", + "le ft", + "ell a", + "Ġcap t", + "it ch", + "i qu", + "ĠBra zil", + "ĠIs rael", + "ĠD u", + "ific ant", + "Ġshow s", + "Ġfollow ed", + ", \"", + "Ġr ank", + "o o", + "Ġag re", + "ĠR ob", + "ĠC areer", + "Ġto ur", + "ug by", + "Ġc ost", + "Ġm ix", + "ĠVirgin ia", + "Ġhe alth", + "Ġfr ont", + "Ġj ud", + "om a", + "ĠG overnment", + "Ġinclud es", + "Ġaward ed", + "Ġc irc", + "ut ch", + "Ġtourn ament", + "Ġc our", + "ĠM a", + "ĠL ife", + "ĠM in", + "\" |", + "Ġfeat ures", + "ig an", + "Ġ :", + "ĠJ ust", + "I I", + "Ġvi ol", + "Ġoriginal ly", + "Ġdesign ed", + "s erv", + "ĠT our", + "ĠAt l", + "Ġhouse hold", + "ĠH ill", + "ag ed", + "nd er", + "n y", + "i os", + "Ġac cess", + "Ġmater ial", + "ĠTe am", + "Ġse ven", + "se c", + "Ġs en", + "ve y", + "Ġc ourt", + "ĠE mp", + "e g", + "ĠC arl", + "ĠIt s", + "ĠM r", + "Ġim pro", + "Ġp ut", + "om s", + "Ġc ivil", + "Ġrel ig", + "2 6", + "Ġrem ained", + "ĠP erson", + "ĠHistor ic", + "Ġs ound", + "ĠAr ts", + "Ġs il", + "ist an", + "Ġstud y", + "Ġl ab", + "en ed", + "ĠG all", + "ĠR ock", + "Ġon ce", + "ĠG ra", + "2 7", + "Ġfeat ured", + "Ġin j", + "Ġd ou", + "ĠRail way", + "er ous", + "ar ia", + "ĠS qu", + "Ġfor ces", + "atri ate", + "Ġsc ored", + "ĠL and", + "ur ity", + "Ġc y", + "Ġ ill", + "om m", + "Ġt est", + "Ġ #", + "Ġp ress", + "ac hes", + "Ġ198 7", + "ol k", + "Ġb ar", + "ĠChic ago", + "2 8", + "he st", + "it es", + "Ġmark et", + "Ġbas ketball", + "ip le", + "Ġde v", + "Ġre b", + "Ġsing er", + "Ġsign ificant", + "ĠM o", + "ach ing", + "ap s", + "il ies", + "Ġpl an", + "end er", + "Ġex ecut", + "r or", + "ĠS oviet", + "ic ations", + "re l", + "Ġlead ing", + "Ġtra ining", + "em s", + "ĠSc ot", + "v in", + "Ġpol ice", + "Ġmed ia", + "ĠFor ce", + "Ġe arn", + "ver t", + "ĠS ub", + "y e", + "ic y", + "Ġ195 0", + "ĠM il", + "C h", + "Ġm ount", + "Ġlarg est", + "Ġr ights", + "ĠS ir", + "ear ch", + "ĠComm ission", + "augh t", + "ĠT wo", + "ĠItal y", + "m ier", + "A mer", + "ĠS o", + "ĠPro fess", + "Ġ198 6", + "our ce", + "Ġm ust", + "Ġair craft", + "Ġst ri", + "ĠM od", + "Ġmod el", + "ut er", + "ĠMex ico", + "Ġ198 4", + "Ġch art", + "Ġen c", + "y p", + "Ġs em", + "ĠCl ass", + "ĠI ll", + "Ġthrough out", + "ĠPol it", + "Ġl iter", + "ist ics", + "ĠP arliament", + "Ġg old", + "Ġtrans fer", + "Ġcons ist", + "v ing", + "ĠS ince", + "ĠMar k", + "Ġinvol ved", + "Ġc ou", + "ĠC at", + "Ġlist ed", + "Ġsub sequ", + "ord er", + "Ġst ated", + "ien ces", + "Ġwh ite", + "ĠO ff", + "ĠAn n", + "Ġw id", + "un k", + "Ġbo ard", + "s el", + "Ġintro duced", + "Ġrepl aced", + "ĠIr ish", + "Ġs ugg", + "ann el", + "Ġe arl", + "Ġse en", + "Ġcompet ition", + "Ġb i", + "Ġ18 3", + "un s", + "ĠE r", + "ĠProv ince", + "ĠFlor ida", + "Ġc andid", + "Ġd iv", + "if t", + "6 0", + "2 9", + "Ġtrans l", + "ĠN avy", + "ĠM ur", + "Ġ198 5", + "Ġwrit er", + "Ġevent ually", + "Ġpriv ate", + "Ġv ia", + "Ġresp ons", + "rib ution", + "ut ure", + "ĠTe chn", + "Ġcrit ic", + "Ġresult s", + "Ġent ire", + "u ff", + "Ġvoc als", + "c her", + "Ġab le", + "u z", + "um m", + "ĠD o", + "te xt", + "Ġr an", + "Ġadd ed", + "ret ary", + "ĠAl though", + "Ġc ollege", + "ĠD en", + "Ġpro ble", + "ĠO per", + "ĠComm ittee", + "ĠF estival", + "Ġfour th", + "ĠS il", + "o ch", + "Ġp ast", + "Ġcount ries", + "ĠF in", + "as k", + "ĠB us", + "ro ad", + "A S", + "el t", + "ĠW ales", + "c ript", + "Ġw ind", + "ĠAngel es", + "y r", + "ĠO ver", + "Ġcent ral", + "Ġst e", + "Ġact ress", + "m b", + "uf act", + "Ġsur v", + "as ing", + "ul arly", + "Ġa ud", + "Ġwrit ers", + "u a", + "ian o", + "Ġcomm and", + "Ġass ociation", + "Ġle ast", + "m in", + "Ġres pect", + "i res", + "ĠBro wn", + "ĠE v", + "Ġl oss", + "yl van", + "Amer ican", + "Ġsp ace", + "por ary", + "Ġs er", + "A R", + "ĠSc ience", + "ĠO ut", + "mer cial", + "8 0", + "ĠN orthern", + "Ġun its", + "ĠM ost", + "ab ility", + "f ic", + "ĠR h", + "Ġn omin", + "ĠF ound", + "ĠSt ar", + "ĠRuss ia", + "Ġm inist", + "Ġs ch", + "b b", + "ok e", + "ĠU k", + "ĠG od", + "r up", + "Ġdeg ree", + "i ro", + "ĠCong ress", + "ĠCarol ina", + "Ġst aff", + "Ġdisc over", + "Ġ198 3", + "Ġr ange", + "Ġst ates", + "ib l", + "ĠAr g", + "ri al", + "Ġcl ose", + "ĠR os", + "Ġdoc ument", + "ra w", + "ĠJ un", + "Ġbroad cast", + "n ow", + "Ġf ig", + "Ġab ove", + "pl es", + "Ġre ached", + "med i", + "g ian", + "l or", + "Ġc ensus", + "ĠServ ice", + "st e", + "ant ic", + "Ġpl ant", + "ĠCol umb", + "ĠL iber", + "ĠE s", + "ĠC r", + "Ġch ange", + "erv e", + "T V", + "Ġprov ided", + "ĠJose ph", + "ĠO h", + "Ġse asons", + "Ġt reat", + "Ġcurrent ly", + "oy s", + "Ġex hib", + "ĠO ld", + "i ents", + "b ur", + "rough t", + "Ġg et", + "Ġcont ribut", + "Ġexp ress", + "ylvan ia", + "l im", + "Ġp ur", + "Ġe ither", + "Ġf av", + "Ġ( \"", + "Ġch ampionship", + "r ative", + "ĠS a", + "f ace", + "Ġtra vel", + "or por", + "Ġac cept", + "Ġpl aced", + "u x", + "sy ch", + "Ġmiss ing", + "Ġup on", + "ĠF re", + "al ed", + "F A", + "Ġrail way", + ") ;", + "bo ard", + "ĠS eries", + "Ġs aw", + "ad ium", + "Ġinter est", + "st ant", + "ian a", + "Ġstru ct", + "ĠC am", + "F L", + "ĠP ac", + "ab it", + "ist ic", + "ip l", + "Ġ198 2", + "Ġcent er", + "Ġm ur", + "w ell", + "Ġk ey", + "Ġ !", + "Ġa ction", + "ĠAss embly", + "a ut", + "ĠF ort", + "ĠD ou", + "Ġocc ur", + "ed s", + "Ġty pe", + "ĠM os", + "cept ion", + "Ġp ot", + "ĠM ic", + "kn own", + "p ly", + "is es", + "Ġc op", + "ĠF urther", + "ĠF ollow", + "Ġn ight", + "Ġa chie", + "ig er", + "g l", + "ĠS k", + "Ġd u", + "ĠR am", + "Ġatt ended", + "Ġ197 9", + "stit ution", + "Ġle arn", + "ĠM ill", + "Ġcharact ers", + "ĠB re", + "l anguage", + "ĠB attle", + "ĠA rab", + "Ġse x", + "ubl ican", + "ay ing", + "ĠM at", + "az z", + "Ġcap ital", + "p ress", + "ĠP opul", + "et te", + "Ġme as", + "Ġdec ided", + "ĠM ain", + "ĠW ood", + "Ġf if", + "l am", + "i h", + "ĠM ajor", + "ĠT ro", + "ele b", + "Ġar g", + "Ġdec ision", + ". )", + "ult ural", + "Ġprevious ly", + "Ġdra w", + "ĠRes earch", + "eng th", + "ar ily", + "ĠEmp ire", + "ĠG reek", + "ĠF red", + "ult ure", + "c a", + "Ġst re", + "Ġde stro", + "Ġne igh", + "Ġ197 2", + "Ġlead er", + "Ġh om", + "d en", + "ĠDemocrat ic", + "g r", + "Ġappro x", + "am ily", + "Ġstud io", + "Ġse ction", + "er o", + "Ġus ually", + "Ġme an", + "ĠPenn s", + "Ġ197 6", + "or ing", + "Ġm ass", + "ĠS ol", + "Ġdefe ated", + "ĠOffic ial", + "ĠH a", + "Ġsing les", + "and a", + "Ġed ition", + "ĠMart in", + "u an", + "ĠD utch", + "Ġre ve", + "Ġocc up", + "ow ers", + "st ra", + "re me", + "ĠC le", + "ĠS un", + "p ing", + "ĠFollow ing", + "Ġkn ow", + "Ġg rand", + "Ġn atural", + "Ġinst ead", + "Ġeff ort", + "ĠMed al", + "ĠJ im", + "ĠScott ish", + "Ġp ain", + "Ġpo et", + "Ġact or", + "Ġr iver", + "ĠSp ain", + "ch an", + "Ġf arm", + "Ġp arent", + "Ġacc ount", + "il s", + "ig a", + "ĠS ocial", + "ĠPenns ylvania", + "Ġb ur", + "B A", + "or a", + "Ġsub ject", + "st r", + "c el", + "c ell", + "Ġ198 1", + "Ġw inning", + "Ġproduc er", + "ĠG ar", + "inc ip", + "ans as", + "ĠM embers", + "Ġinvest ig", + "Ġwh ose", + "ult y", + "ult s", + "Ġm ethod", + "ĠW al", + "um ents", + "Ġpl ann", + "Ġ197 8", + "ĠL ove", + "Ġpart s", + "ĠIn c", + "Ġact ive", + "Ġ197 4", + "Ġrepresent ed", + "in ent", + "ĠM ilitary", + "Ġmov ement", + "at o", + "Ġg e", + "ĠH ow", + "Ġprim ary", + "Ġprov ide", + "ĠAs ian", + "Ġfam ilies", + "Ġcult ure", + "Ġ196 8", + "ĠP ak", + "w an", + "Ġrelations hip", + "Ġplay s", + "9 0", + "ĠL ater", + "ĠF inal", + "b ased", + "Ġf ar", + "Ġp ark", + "ĠR adio", + "Ġsc ient", + "Ġorgan iz", + "pt ion", + "Ġpr ison", + "ĠJ ud", + "Ġde al", + "ĠLe e", + "Ġp red", + "Ġn orthern", + "Ġ194 0", + "Ġs outhern", + "Ġbeh ind", + "Ġp urch", + "ĠE p", + "pos ition", + "r ig", + "Ġt ax", + "ĠH ot", + "cl us", + "ĠT w", + "ar io", + "Ġ197 5", + "ug u", + "ĠC ross", + "l a", + "ĠI ran", + "ĠYou ng", + "ig ital", + "Ġmus ical", + "ĠBu ild", + "ad y", + "ens ion", + "Ġs ize", + "y er", + "ĠC ivil", + "ĠCh ief", + "Ġb ank", + "Ġl ik", + "7 0", + "omet imes", + "Ġ197 7", + "se e", + "ri e", + "Ġl ower", + "ĠB ul", + "ing u", + "ĠBo ard", + "w er", + "ĠB et", + ".. .", + "Ġgo als", + "isc o", + "ĠS ar", + "ĠSp ace", + "Ġb rought", + "ĠP ost", + "Ġread ing", + "Ġco ast", + "Ġnew sp", + "ĠB ig", + "ĠB ase", + "erg y", + "Ġout side", + "ĠL oc", + "Ġac adem", + "ĠH el", + "Ġs us", + "s k", + "ĠS outhern", + "ĠReg ister", + "\" )", + "n ot", + "Ġp ers", + "Ġcolle ction", + "Ġh ard", + "Ġorgan ization", + "im b", + "ar ing", + "Ġc ut", + "Ġ i", + "ĠC D", + "end s", + "ĠH aw", + "Ġr ather", + "all ed", + "ĠB ack", + "ers ey", + "Ġ197 3", + "Ġf all", + "m ark", + "Ġclos ed", + "a o", + "Ġindust ry", + "Ġrun s", + "Ġwrit ing", + "al i", + "Ġn etwork", + "Ġg irl", + "Ġend ed", + "N A", + "Ġc ricket", + "ĠJ ack", + "Ġman ufact", + "Ġc are", + "h an", + "Ġdram a", + "Ġk ing", + "ĠL uc", + "or se", + "Ġfor ce", + "Ġsh ot", + "ir m", + "Ġfootball er", + "Ġ193 0", + "ĠAd m", + "it an", + "Ġsystem s", + "anc ial", + "p an", + "at i", + "pec ially", + "he t", + "aw a", + "ĠO x", + "I D", + "ĠEd ward", + "ĠEng ine", + "ct ive", + "Ġh it", + "ĠL ong", + "Ġes c", + "ul ation", + "oun ter", + "Ġposs ible", + "Ġw ood", + "Ġim m", + "ĠVal ley", + "ĠR el", + "Ġreg ard", + "ĠU nder", + "ĠT ri", + "Ġ194 5", + "Ġmat ches", + "m ond", + "Ġallow ed", + "Ġstud ies", + "ĠV er", + "ĠU r", + "ĠS pr", + "ĠT imes", + "Ġne g", + "Ġal most", + "it ors", + "ĠRep ublican", + "Ġreg ular", + "Ġ196 9", + "ven ue", + "id er", + "Ġstru cture", + "Ġst op", + "in ary", + "Ġ197 1", + "Ġmag azine", + "ĠJew ish", + "em ic", + "ur b", + "Ġchang ed", + "Ġcomm ission", + "Ġfre qu", + "c ient", + "enn is", + "ĠTe levision", + "in ated", + "l ike", + "ĠJ ul", + "ent h", + "Ġc at", + "ĠB ob", + "back ground", + "ĠP o", + "ĠB ank", + "Ġd en", + "ĠMich igan", + "Ġis land", + "c ing", + "Ġpl at", + "Ġsett le", + "Ġsch ol", + "ĠD isc", + "Ġlaun ched", + "Ġb all", + "ĠM ah", + "Ġoper ations", + "it iz", + "ĠC amb", + "air man", + "ov ers", + "Ġw oman", + "ĠPl aces", + "velop ment", + "Ġbeg inning", + "ac ing", + "Ġperson al", + "ĠJ er", + "ĠO s", + "Ġter rit", + "k o", + "Ġto wards", + "3 5", + "on n", + "Ġte xt", + "i as", + "Ġtrans port", + "ĠMc C", + "Ġgen us", + "ĠA thlet", + "Ġown ed", + "Ġdet erm", + "Ġt aking", + "Ġn ar", + "Ġf ood", + "ĠOp en", + "Ġmanag er", + "et ts", + "Ġacc ording", + "e es", + "Ġ196 7", + "Ġc ases", + "ĠT im", + "Ġm er", + "ĠH ung", + "ĠHe alth", + "ip s", + "y an", + "Ġn ames", + "ak a", + "Ġind ependent", + "Ġcon stru", + "Ġwh om", + "Ġp ay", + "us band", + "ĠV i", + "ly ing", + "Ġ196 4", + "ol s", + "Ġsc ience", + "Ġf a", + "Ġrem ov", + "Ġoffic er", + "Ġc red", + "ĠPhil ipp", + "Ġ )", + "ĠOh io", + "ĠB h", + "Ġsc ore", + "st ate", + "ĠK ent", + "Ġapprox imately", + "ĠIn f", + "Ġmin or", + "Ġv eh", + "ĠT op", + "Ġob serv", + "ĠL ine", + "ĠF r", + "7 5", + "ĠUn ivers", + "Ġcomp let", + "Ġbre ak", + "ĠR ou", + "im a", + "ĠPol and", + "Ġfun ction", + "ib ility", + "ĠJ o", + "b ury", + "ino is", + "Ġe ver", + "Ġsc reen", + "b on", + "Ġconc ern", + "Ġsp ent", + "Ġar my", + "ĠG al", + "ĠArg ent", + "Ġaddition al", + "ct ing", + "g a", + "pe cted", + "Ġsqu ad", + "Ġ6 0", + "ĠD is", + "o id", + "Ġph il", + "ĠII I", + "ĠA re", + "o ir", + "Ġnot ed", + "in et", + "ĠScot land", + "ĠM ot", + "ĠG h", + "Ġs elf", + "Ġob ject", + "en ced", + "Ġcomple x", + "Ġbo x", + "ir a", + "Ġc eleb", + "amp ions", + "ĠT re", + "ach us", + "ĠL ord", + "if y", + "w w", + "Ġiss ues", + "Ġcount y", + "ĠPol ish", + "Ġ19 20", + "os h", + "il ed", + "Ġch ief", + "ĠB or", + "en ces", + "Ġsen ior", + "es h", + "k ing", + "ĠQue en", + "Ġc he", + "Ġmon th", + "Ġb attle", + ": #", + "Ġcom mercial", + "ost on", + "Ġl ived", + "Ġs ummer", + "Ġele ctions", + "4 5", + "Ġits elf", + "Ġd ate", + "Ġmult iple", + "Ġrel ated", + "uf fer", + "ĠPac ific", + "Ġs at", + "read y", + "Ġpolitic ians", + "Ġfoc us", + "Ġhig hest", + "Ġro ute", + "ĠNew s", + "Ġso on", + "ĠM att", + "ĠJ r", + "ĠIll inois", + "Ġtradition al", + "d own", + "Ġto o", + "Ġl ittle", + "Ġf uture", + "Ġle t", + "Ġqu est", + "Ġes pecially", + "ĠDire ctor", + "Ġhig her", + "Ġopen ing", + "ay a", + "ard en", + "Ġsup er", + "Ġlo ok", + "ĠE nd", + "Ġ196 5", + "um s", + "Ġm oney", + "Ġc al", + "ac her", + "ĠO k", + "ĠBrit ain", + "Ġrequ ired", + "ĠRep resent", + "achus etts", + "f ect", + "Ġinter view", + "Ġun ion", + "ĠCon ference", + "ĠD i", + "ĠJ ersey", + "Ġ196 6", + "bur gh", + "em porary", + "ĠS and", + "ĠGeorg ia", + "Ġen vironment", + "r ich", + "ad or", + "Ġed itor", + "ct ic", + "ob al", + "Ġcont ains", + "Ġappear ance", + "ĠC y", + "ĠAs ia", + "Ġbel ow", + "Ġ18 0", + "k ins", + "Ġproper ty", + "Ġpri or", + "ĠG overnor", + "ĠA z", + "19 0", + "ĠC olle", + "ĠL ab", + "ĠMass achusetts", + "Ġvict ory", + "h ouse", + "Ġme ans", + "Ġsele cted", + "Ġent ered", + "ch ange", + "on se", + "ĠB oston", + "ĠF er", + "Ġstud ied", + "d s", + "Ġpro f", + "ig r", + "p ut", + "Ġh usband", + "ĠL o", + "ĠBo ok", + "Ġpract ice", + "ĠEast ern", + "S A", + "Ġe mer", + "Ġsur round", + "Ġloc ation", + "al ys", + "st anding", + "Ġex am", + "ut en", + "Ġassoci ated", + "emor ial", + "ĠTh at", + "Ġun it", + "ĠC O", + "ĠJ ournal", + "vent ion", + "Ġm ission", + "Ġstruct ures", + "Ġb ass", + "Ġr ad", + "ĠHe ad", + "Ġmur der", + "Ġtr ade", + "j a", + "Ġ3 5", + "Ġd on", + "w a", + "Ġprofess or", + "ĠL ibrary", + "ĠColumb ia", + "ĠB ang", + "Ġc ertain", + "Ġcent re", + "ĠJ ac", + "Ġstand ard", + "Ġship s", + "ĠG re", + "F C", + "Ġret ired", + "op er", + "Ġse at", + "Ġad op", + "Ġearl ier", + "ĠPr ince", + "Ġar ran", + "Ġ ens", + "3 3", + "i i", + "Ġrun ning", + "Ġmanag ement", + "ĠM ore", + "Ġ er", + "Ġbecom ing", + "Ġd om", + "ĠJe an", + "Ġde partment", + "ĠG ame", + "w ith", + "ĠF ield", + "Ġstud ent", + "ry ing", + "Ġ194 4", + "ĠM P", + "Ġactiv ities", + "t ained", + "Ġso ft", + "Ġt rib", + "ĠThe atre", + "ĠJ ones", + "Ġclub s", + "Ġcom e", + "ĠWilliam s", + "Ġl ength", + "an ks", + "Ġem b", + "Ġmunicip ality", + "il a", + "Ġleg al", + "and ed", + "i y", + "al le", + "Ġcoll abor", + "ĠSt an", + "ail s", + "ig g", + "ĠDe velopment", + "Ġmed ical", + "Ġact ors", + "Ġs uffer", + "Ġcom edy", + "arri age", + "in em", + "N E", + "ĠM iddle", + "gy pt", + "ian ce", + "Ġleg isl", + "Ġinit ially", + "om y", + "ĠW eb", + "Ġqu arter", + "Ġcaus ed", + "9 9", + "ĠM any", + "Ġal ready", + "ad el", + "Ġs ometimes", + "Ġp ie", + "s en", + "b re", + "ĠS oc", + "Ġp en", + "Ġth us", + "Ġtra in", + "ĠCo ast", + "ĠFranc isco", + "ĠE conom", + "ĠV an", + "Ġdestro y", + "Ġmov e", + "Ġoper ated", + "et ic", + "ĠI f", + "Ġfeat ure", + "ĠB ow", + "ĠH ong", + "Ġgeneral ly", + "ĠSt ep", + "ĠK ong", + "Ġar rest", + "Ġfore st", + "Ġincre ased", + "Ġequ ip", + "ĠD et", + "ĠS at", + "Ġold er", + "Ġh ockey", + "Ġl ove", + "ĠK ar", + "ĠW ater", + "ant ry", + "Ġcour se", + "Ġw ide", + "ĠOr gan", + "tra ck", + "Ġwest ern", + "ĠM u", + "ĠW ind", + "sp an", + "Ġnum erous", + "ĠAl bert", + "am m", + "ĠBl ue", + "Ġcon v", + "Ġus es", + "Ġcompet ed", + "n o", + "Ġc ouncil", + "Ġnew s", + "Ġra p", + "ĠMan ag", + "Ġg ra", + "Ġann ual", + "Ġdif fic", + "a res", + "ee ks", + "Ġs af", + "ĠF ed", + "is ation", + "ĠJohn son", + "ĠP res", + "Ġ196 3", + "Ġchang es", + "ĠCons erv", + "and s", + "k en", + "Ġv ir", + "ĠE ll", + "ĠD ie", + "ĠM id", + "ĠCh ild", + "on ia", + "ĠPerson al", + "ĠSy stem", + "el a", + "Ġmajor ity", + "og rap", + "Ġs u", + "ĠDe ath", + "ill a", + "Ġterm s", + "Ġserv ing", + "ĠB C", + "ĠCent re", + "ri ef", + "Ġiss ue", + "ul pt", + "Ġf ederal", + "ĠA k", + "att al", + "stit u", + "Ġab s", + "ĠB iography", + "Ġant i", + "ad d", + "Ġind ic", + "ple ment", + "Ġperson nel", + "Ġbet ter", + "Ġcol on", + "Ġun iversity", + "ab eth", + "ĠBro ad", + "Ġ196 2", + "ul f", + "Ġth reat", + "ĠSer b", + "el le", + "Ġrelig ious", + "ĠA ri", + "Ġse a", + "p re" + ] + } +} \ No newline at end of file diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index dcc7989f..5cc6aefa 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -233,7 +233,7 @@ def estimate_performance(self, iter_num, eval_iters=None): if self.evaluate_byte_metrics: if total_bytes > 0: - avg_byte_loss = aggregate_value(total_byte_loss, self.cfg.general.device).item() / total_bytes + avg_byte_loss = aggregate_value(total_byte_loss, self.cfg.general.device) / total_bytes avg_byte_perplexity = np.exp(avg_byte_loss) if avg_byte_loss < 100 else float('inf') # Avoid overflow else: avg_byte_loss = float('inf') @@ -265,16 +265,11 @@ def estimate_performance(self, iter_num, eval_iters=None): model=self.model ) eval_results.update(text_generation_results) - - # log the generated text - wandb.log( - { - "Generated Text": wandb.Html( + eval_results.update({ + "Generated Text": wandb.Html( text_generation_sample_html ) - }, - step=eval_results["token_num"] - ) + }) # set model back into train mode self.model.train() From 0482af265abbcb6eff2c8c61d140631d11860c1b Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Thu, 10 Oct 2024 15:39:54 +0800 Subject: [PATCH 194/209] wip --- configs/train/debugging.yaml | 109 + evals/mcqs/load_benchmarks.py | 18 + models/build_models.py | 8 +- models/components/{layers => }/activations.py | 0 models/components/{layers => }/attention.py | 0 models/components/{layers => }/feedforward.py | 2 +- .../bpe_en_wiki_4000_simplified.model | 7994 ---------------- .../components/{layers => }/normalization.py | 0 ...pe_simple_en_wiki_4000_20_simplified.model | 8154 +++++++++++++++++ models/components/{layers => }/tokenizers.py | 90 +- .../{layers => }/transformer_blocks.py | 6 +- models/components/{layers => }/utils.py | 11 +- models/core_models.py | 2 +- models/embedding_models.py | 3 +- .../byte_level/embedding_model.py | 2 +- models/experimental/byte_level/layers.py | 6 +- models/experimental/hugging_face.py | 2 +- models/experimental/moe_weight_sharing.py | 8 +- .../experimental/next_thought/core_models.py | 76 - .../next_thought/embedding_models.py | 87 - models/experimental/next_thought/layers.py | 203 - .../experimental/next_thought/model_heads.py | 80 - models/model_heads.py | 2 +- models/model_shell.py | 2 +- trainers/base_trainer.py | 11 +- trainers/data_utils.py | 67 +- 26 files changed, 8427 insertions(+), 8516 deletions(-) create mode 100644 configs/train/debugging.yaml rename models/components/{layers => }/activations.py (100%) rename models/components/{layers => }/attention.py (100%) rename models/components/{layers => }/feedforward.py (97%) delete mode 100644 models/components/layers/tokenizer_models/bpe_en_wiki_4000_simplified.model rename models/components/{layers => }/normalization.py (100%) create mode 100644 models/components/tokenizer_models/bpe_simple_en_wiki_4000_20_simplified.model rename models/components/{layers => }/tokenizers.py (81%) rename models/components/{layers => }/transformer_blocks.py (89%) rename models/components/{layers => }/utils.py (82%) delete mode 100644 models/experimental/next_thought/core_models.py delete mode 100644 models/experimental/next_thought/embedding_models.py delete mode 100644 models/experimental/next_thought/layers.py delete mode 100644 models/experimental/next_thought/model_heads.py diff --git a/configs/train/debugging.yaml b/configs/train/debugging.yaml new file mode 100644 index 00000000..c90072be --- /dev/null +++ b/configs/train/debugging.yaml @@ -0,0 +1,109 @@ +model: + core_model_type: generic + num_layers: 1 + + ffn: + ffn_type: generic + ffn_dim: 1536 + activation: gelu + normalization: rms_norm + bias: false + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 8 + num_q_heads: 4 + normalization: rms_norm + bias: false + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_name: simple_en_wiki + tokenizer_simplify_data: true + tokenizer_num_reserved_tokens: 20 + vocab_size: 4000 + + hidden_dim: 384 + context_window: 2048 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: false + cproj_weight_tying: false + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: [simple_en_wiki, simple_en_wiki] + batch_size: 24 + gradient_accumulation_steps: 10 + + max_iters: 1000 + eval_interval: 500 + log_interval: 10 + checkpoint_interval: 5000 + eval_iters: 1000 + + eval: + mcq_benchmarks: + - "winogrande" + - "hellaswag" + - "arc_easy" + - "blimp" + - "piqa" + - "race_middle" + - "race_high" + - "boolq" + - "openbook_qa_closed" + - "openbook_qa_open" + - "copa" + - "commonsense_qa" + - "ewok" + mcq_num_samples: 1000 + eval_byte_metrics: true + text_modeling_eval: true + text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 5.0e-4 + min_lr: 5.0e-5 + weight_decay: 0.01 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 500 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: base_group + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda:0 diff --git a/evals/mcqs/load_benchmarks.py b/evals/mcqs/load_benchmarks.py index 2c874867..9e865c6b 100644 --- a/evals/mcqs/load_benchmarks.py +++ b/evals/mcqs/load_benchmarks.py @@ -252,6 +252,21 @@ def load_commonsense_qa(num_samples=None): ) def load_ewok(num_samples=None): + """ + Load the Ewok eval set + https://arxiv.org/abs/2405.09605v1 + https://huggingface.co/datasets/ewok-core + """ + dataset = load_dataset("ewok-core/ewok-core-1.0", trust_remote_code=True)["test"] + index_list = get_idx_list(len(dataset), num_samples) + for i in index_list: + sample = dataset[i] + yield( + sample["Context1"], + sample["Target1"], + [sample["Target2"]] + ) + @@ -314,6 +329,9 @@ def load_ewok(num_samples=None): "commonsense_qa": lambda num_samples: load_commonsense_qa( num_samples=num_samples ), + "ewok": lambda num_samples: load_ewok( + num_samples=num_samples + ) } diff --git a/models/build_models.py b/models/build_models.py index 2b5c7987..c70c3c25 100644 --- a/models/build_models.py +++ b/models/build_models.py @@ -4,15 +4,14 @@ """ import torch + + from models.core_models import GenericTransformer from models.embedding_models import GenericEmbedder from models.experimental.byte_level.embedding_model import ByteLevelEmbedder from models.experimental.byte_level.model_heads import ByteLevelDecoder from models.experimental.byte_level.byte_model_shell import ByteModelShell from models.experimental.hugging_face import HFEmbedder, HFLMHead, HFTransformerCore -from models.experimental.next_thought.embedding_models import HierarchicalEncoder -from models.experimental.next_thought.model_heads import VariableLengthLatentDecoder -from models.experimental.next_thought.core_models import BaselineCoreModel, Conv1dCoreModel from models.model_heads import AutoregressiveLMHead from models.model_shell import ModelShell @@ -69,7 +68,6 @@ def build_model(model_cfg=None, checkpoint_path=None, device="cuda"): "generic": GenericEmbedder, "byte_level": ByteLevelEmbedder, "hf_embedder": HFEmbedder, - "hierarchical": HierarchicalEncoder, } @@ -94,8 +92,6 @@ def build_embedding_model(model_cfg): "ffn_lora_sharing": SharedInteriorFFNLora, "ffn_lora_sharing": SharedInteriorFFNLoraAndCProj, "ffn_lora_sharing_moe": SharedMoE, - "next_thought_baseline": BaselineCoreModel, - "conv": Conv1dCoreModel, } diff --git a/models/components/layers/activations.py b/models/components/activations.py similarity index 100% rename from models/components/layers/activations.py rename to models/components/activations.py diff --git a/models/components/layers/attention.py b/models/components/attention.py similarity index 100% rename from models/components/layers/attention.py rename to models/components/attention.py diff --git a/models/components/layers/feedforward.py b/models/components/feedforward.py similarity index 97% rename from models/components/layers/feedforward.py rename to models/components/feedforward.py index d24d9310..c335da50 100644 --- a/models/components/layers/feedforward.py +++ b/models/components/feedforward.py @@ -5,7 +5,7 @@ import torch import torch.nn.functional as F -from models.components.layers.activations import build_activation +from models.components.activations import build_activation class GenericFFN(torch.nn.Module): diff --git a/models/components/layers/tokenizer_models/bpe_en_wiki_4000_simplified.model b/models/components/layers/tokenizer_models/bpe_en_wiki_4000_simplified.model deleted file mode 100644 index 825f73e8..00000000 --- a/models/components/layers/tokenizer_models/bpe_en_wiki_4000_simplified.model +++ /dev/null @@ -1,7994 +0,0 @@ -{ - "version": "1.0", - "truncation": null, - "padding": null, - "added_tokens": [ - { - "id": 0, - "content": "[PAD]", - "single_word": false, - "lstrip": false, - "rstrip": false, - "normalized": false, - "special": true - }, - { - "id": 1, - "content": "[EOT]", - "single_word": false, - "lstrip": false, - "rstrip": false, - "normalized": false, - "special": true - }, - { - "id": 2, - "content": "[UNK]", - "single_word": false, - "lstrip": false, - "rstrip": false, - "normalized": false, - "special": true - } - ], - "normalizer": { - "type": "Sequence", - "normalizers": [ - { - "type": "NFD" - }, - { - "type": "StripAccents" - }, - { - "type": "Replace", - "pattern": { - "String": "[^a-zA-Z0-9\\s!\"\\#\\$%\\&'\\(\\)\\*\\+,\\-\\./:;<=>\\?@\\[\\\\\\]\\^_`\\{\\|\\}\\~]" - }, - "content": "" - } - ] - }, - "pre_tokenizer": { - "type": "Sequence", - "pretokenizers": [ - { - "type": "WhitespaceSplit" - }, - { - "type": "Split", - "pattern": { - "String": "\\d" - }, - "behavior": "Isolated", - "invert": false - }, - { - "type": "ByteLevel", - "add_prefix_space": true, - "trim_offsets": true, - "use_regex": true - } - ] - }, - "post_processor": null, - "decoder": { - "type": "ByteLevel", - "add_prefix_space": true, - "trim_offsets": true, - "use_regex": true - }, - "model": { - "type": "BPE", - "dropout": 0.1, - "unk_token": "[UNK]", - "continuing_subword_prefix": null, - "end_of_word_suffix": null, - "fuse_unk": false, - "byte_fallback": false, - "ignore_merges": false, - "vocab": { - "[PAD]": 0, - "[EOT]": 1, - "[UNK]": 2, - "\t": 3, - "\n": 4, - " ": 5, - "!": 6, - "\"": 7, - "#": 8, - "$": 9, - "%": 10, - "&": 11, - "'": 12, - "(": 13, - ")": 14, - "*": 15, - "+": 16, - ",": 17, - "-": 18, - ".": 19, - "/": 20, - "0": 21, - "1": 22, - "2": 23, - "3": 24, - "4": 25, - "5": 26, - "6": 27, - "7": 28, - "8": 29, - "9": 30, - ":": 31, - ";": 32, - "<": 33, - "=": 34, - ">": 35, - "?": 36, - "@": 37, - "A": 38, - "B": 39, - "C": 40, - "D": 41, - "E": 42, - "F": 43, - "G": 44, - "H": 45, - "I": 46, - "J": 47, - "K": 48, - "L": 49, - "M": 50, - "N": 51, - "O": 52, - "P": 53, - "Q": 54, - "R": 55, - "S": 56, - "T": 57, - "U": 58, - "V": 59, - "W": 60, - "X": 61, - "Y": 62, - "Z": 63, - "[": 64, - "\\": 65, - "]": 66, - "^": 67, - "_": 68, - "`": 69, - "a": 70, - "b": 71, - "c": 72, - "d": 73, - "e": 74, - "f": 75, - "g": 76, - "h": 77, - "i": 78, - "j": 79, - "k": 80, - "l": 81, - "m": 82, - "n": 83, - "o": 84, - "p": 85, - "q": 86, - "r": 87, - "s": 88, - "t": 89, - "u": 90, - "v": 91, - "w": 92, - "x": 93, - "y": 94, - "z": 95, - "{": 96, - "|": 97, - "}": 98, - "~": 99, - "Ġ": 100, - "Ġt": 101, - "he": 102, - "in": 103, - "Ġa": 104, - "er": 105, - "on": 106, - "Ġthe": 107, - "re": 108, - "an": 109, - "or": 110, - "en": 111, - "at": 112, - "ed": 113, - "Ġo": 114, - "st": 115, - "al": 116, - "Ġw": 117, - "ar": 118, - "it": 119, - "Ġof": 120, - "nd": 121, - "Ġin": 122, - "Ġs": 123, - "Ġf": 124, - "es": 125, - "Ġc": 126, - "is": 127, - "Ġb": 128, - "ic": 129, - "Ġp": 130, - "ing": 131, - "Ġand": 132, - "as": 133, - "ion": 134, - "ĠS": 135, - "ro": 136, - "le": 137, - "ĠC": 138, - "ĠA": 139, - "ĠT": 140, - "Ġto": 141, - "Ġm": 142, - "Ġd": 143, - "Ġ1": 144, - "ou": 145, - "il": 146, - "ĠM": 147, - "ent": 148, - "Ġh": 149, - "am": 150, - "om": 151, - "ol": 152, - "ĠB": 153, - "el": 154, - "ĠP": 155, - "Ġre": 156, - "Ġ(": 157, - "ĠR": 158, - "ct": 159, - "Ġ2": 160, - "ĠI": 161, - "Ġl": 162, - "ĠH": 163, - "ad": 164, - "ur": 165, - "et": 166, - "ch": 167, - "iv": 168, - "ers": 169, - "Ġwas": 170, - "ĠThe": 171, - "ation": 172, - "ĠD": 173, - "ĠL": 174, - "Ġn": 175, - "Ġe": 176, - "ig": 177, - "ĠF": 178, - "Ġ19": 179, - "ir": 180, - "id": 181, - "ot": 182, - "Ġth": 183, - "ce": 184, - "us": 185, - "Ġfor": 186, - "ay": 187, - "Ġon": 188, - "ly": 189, - "ĠG": 190, - "im": 191, - "ist": 192, - "ĠN": 193, - "Ġ20": 194, - "ĠE": 195, - "ut": 196, - "ĠW": 197, - "ra": 198, - "Ġg": 199, - "Ġis": 200, - "Ġas": 201, - "em": 202, - "ow": 203, - "un": 204, - "th": 205, - "ith": 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el", - "i x", - "ic k", - "v i", - "Ġp ol", - "d uc", - "p r", - "ĠS c", - "ĠE ng", - "in ce", - "v e", - "ou n", - "if e", - "Ġte am", - "Ġlin ks", - "Ġplay ers", - "al s", - "oc i", - "r ad", - "Ġre g", - "Ġp ubl", - "ot h", - "Ġ19 4", - "Ġk n", - "id ent", - "ĠEx ternal", - "sh ip", - "for m", - "Ġh im", - "Ġb et", - "at t", - "Ġas s", - "ĠS he", - "in n", - "at ive", - "Ġ 7", - "i er", - "a j", - "1 8", - "ou se", - "in s", - "em b", - "Ġp r", - "it ies", - "us e", - "oll ow", - "in a", - "Ġ19 5", - "Ġw ould", - "Ġc o", - "an n", - "ĠT e", - "o ber", - "Ġe st", - "Ġwhe n", - "us ic", - "Ġag ain", - "l l", - "Ġc ent", - "Ġo p", - "Ġyear s", - "we en", - "er ies", - "c ed", - "Ġcon s", - "ro und", - "res ent", - "over n", - "at ing", - "Ġwhe re", - "Ġd uring", - "Ġre t", - "Ġm ore", - "Ġin d", - "ab l", - "Ġ1 7", - "Ġb o", - "iv ing", - "ra ph", - "ar ly", - "b um", - "d er", - "ĠJ oh", - "Ġs ub", - "a ir", - "Ġst ud", - "an y", - "Ġfor m", - "Ġs up", - "Ġ20 2", - "Ġg en", - "ĠTh is", - "Ġm e", - "ĠP l", - "Ġ qu", - "ĠC ount", - "ĠSt ates", - "Ġf ootball", - "Ġf ound", - "Ġ 8", - "ion al", - "oc k", - "ar l", - "Ġre le", - "Ġf l", - "c c", - "Ġs pec", - "en n", - "as h", - "Ġon ly", - "Ġbet ween", - "i am", - "ag ue", - "Ġf am", - "Ġb ir", - "Ġre l", - "re at", - "ĠF or", - "Ġse ason", - "p ro", - "Ġ Q", - "e at", - "ist ric", - "ĠA t", - "op ul", - "Ġs y", - "ĠN ational", - "ĠW ar", - "Ġ ed", - "ist ory", - "Ġar t", - "if ic", - "ĠS p", - "s on", - "ĠCom m", - "er man", - "ĠI s", - "Ġab out", - "ĠA ust", - "Ġth ree", - "ĠJoh n", - "\" .", - "Ġin ter", - "Ġm ost", - "ct or", - "f ore", - "ĠW orld", - "le y", - "ĠF ran", - "ĠP h", - "th s", - "ĠC on", - "Ġre m", - "Ġf ollow", - "Ġ 9", - "Ġm ade", - "Ġal bum", - "Ġl ater", - "Ġs ing", - "Ġth rough", - "iel d", - "in ist", - "un e", - "om en", - "Ġ end", - "Ġ1 0", - "iv er", - "iv ed", - "ĠB e", - "ers on", - "r on", - "Ġsec ond", - "Ġthe m", - "ro s", - "ĠB rit", - "ĠB l", - "og raph", - "Ġw rit", - "ĠM ay", - "an k", - "us s", - "Ġn um", - "Ġm ov", - "Ġthe re", - "Ġ19 3", - "Ġthe n", - "Ġd ire", - "m p", - "ĠC an", - "Ġde f", - "Ġus ed", - ". \"", - "ĠJ an", - "er m", - "ow er", - "es e", - "vel op", - "u res", - "he n", - "Ġrec ord", - "ar g", - "Ġin v", - "em ent", - "istric t", - "Ġt rans", - "os s", - "t en", - "Ġs o", - "er t", - "Ġm ed", - "e e", - "ar i", - "Ġ1 6", - "ar s", - "Ġs chool", - "Ġkn own", - "Ġs et", - "a i", - "ĠCount y", - "ĠA d", - "y s", - "\" ,", - "Ġ ent", - "Ġbec ame", - "2 00", - "Ġs uch", - "st it", - "Ġest abl", - "ĠO r", - "Ġ1 5", - "Ġa m", - "is m", - "ĠS outh", - "ĠG e", - "Ġpro v", - "c y", - "ur al", - "it s", - "Ġp h", - "Ġin c", - "ment s", - "Ġth an", - "ĠS chool", - "amp ion", - "tern ational", - "u ro", - "ĠG erman", - "ĠM e", - "a x", - "is e", - "Ġf our", - "p os", - "Ġ &", - "ĠN ov", - "Ġs eries", - "ĠJ u", - "Ġbe ing", - "Ġs ome", - "ur ch", - "Ġle ad", - "Ġ| -", - "Ġb l", - "Ġp opul", - "Ġ .", - "e ver", - "ĠW est", - "ut e", - "Ġc all", - "Ġs ong", - "ay s", - "Ġinclud ing", - "ot her", - "j ect", - "le t", - "et h", - "Ġgro up", - "Ġagain st", - "a e", - "Ġw ell", - "are er", - "Ġd o", - "i ke", - "Ġap pe", - "ĠP ol", - "ĠA fter", - "b orn", - "Ġde ath", - "ug ust", - "Ġac c", - "ar ri", - "Ġc ount", - "t y", - "Ġc re", - "ction s", - "ian s", - "ĠP r", - "u ary", - "ĠW h", - "am ed", - "pt ember", - "ĠAust ral", - "v en", - "st em", - "at her", - "t il", - "ĠY ork", - "ar n", - "ire d", - "ul l", - "b y", - "m y", - "er ed", - "r id", - "ver y", - "ut ion", - "e y", - "ĠA ugust", - "Ġbe fore", - "ĠBrit ish", - "Ġre ce", - "= \"", - "ĠO ct", - "el s", - "Ġ1 2", - "Ġad d", - "Ġwh ile", - "r ist", - "Ġs ur", - "ĠSe ptember", - "Ġs ign", - "Ġpol it", - "iv es", - "ĠMar ch", - "overn ment", - "00 0", - "Ġb ro", - "Ġde c", - "Ġsh ow", - "ĠC ent", - "a id", - "Ġoff ic", - "Ġbu ild", - "Ġde velop", - "Ġo per", - "ĠOct ober", - "olog y", - "Ġg o", - "el f", - "Ġfam ily", - "Ġun til", - "Ġc ap", - "le v", - "ĠM an", - "x t", - "Ġm usic", - "Ġm ay", - "pr il", - "iz ed", - "ow ever", - "ĠJ une", - "a u", - "r and", - "Ġo wn", - "f ess", - "Ġn o", - "Ġre p", - "ĠJan uary", - "ic a", - "Ġor ig", - "er y", - "Ġm ain", - "m ber", - "Ġm od", - "Ġh igh", - "ĠAs s", - "ĠJu ly", - "en g", - "ĠAl l", - "Ġbir ths", - "emb ers", - "ĠC ar", - "1 0", - "l ish", - "ist or", - "Ġch ar", - "Ġb oth", - "ĠN orth", - "Ġplay ed", - "olle ge", - "Ġm on", - "Ġman y", - "Ġnum ber", - "ot t", - "et s", - "ĠC o", - "ĠLe ague", - "Ġex p", - "om an", - "Ġn ame", - "ut h", - "ampion ship", - "ĠA pril", - "cent ury", - "ward s", - "Ġb ack", - "Ġ19 2", - "ant s", - "v ed", - "i ent", - "ĠCan ad", - "ĠE uro", - "it t", - "ĠSe e", - "Ġrele ased", - "ce mber", - "Ġe m", - "st ru", - "ĠG u", - "ain ed", - "ĠB o", - "en e", - "i or", - "p le", - "Ġg u", - "g ram", - "1 7", - "ĠE d", - "is c", - "Ġfor mer", - "ĠC ol", - "ĠNov ember", - "it al", - "Ġse ver", - "iss ion", - "ĠA m", - "ĠEng lish", - "Ġan n", - "Ġw on", - "i um", - "in es", - "e c", - "he s", - "port s", - "Ġdes ign", - "p or", - "ic ip", - "ce pt", - "ĠRe g", - "ĠW ill", - "ĠDe cember", - "Ġm at", - "ĠC ity", - "Ġ1 4", - "ra ct", - "ĠF l", - "aj or", - "Ġdes c", - "y l", - "ros s", - "Ġ1 3", - "Ġl ife", - "Ġare a", - "im es", - "ir d", - "Ġst art", - "ĠC al", - "ĠA f", - "Ġor gan", - "r is", - "duc ed", - "Ġop en", - "Ġf eat", - "are d", - "ĠSt ate", - "re t", - "f l", - "Ġg ame", - "ag es", - "Ġd if", - "v ent", - "res ident", - "Ġr un", - "k et", - "u es", - "Ġfilm s", - "l ed", - "ro p", - "Ġpro du", - "p art", - "Ġ1 1", - "ar m", - "et y", - "Ġm en", - "Ġ201 0", - "Ġcl ass", - "ograph y", - "Ġ2 1", - "y le", - "Ġex t", - "ap an", - "il t", - "eb ru", - "Ġs m", - "lev ision", - "ebru ary", - "Ġpubl ic", - "un g", - "ĠK ing", - "ĠI I", - "Ġst ate", - "Ġsy stem", - "ĠP ar", - "Ġl ong", - "Ġo b", - "ual ly", - "Ġd r", - "ar ch", - "ĠB ro", - "f ul", - "Ġf inal", - "Ġc areer", - "il it", - "n er", - "ĠH is", - "Ġs ame", - "ul ar", - "an c", - "a use", - "Ġcall ed", - "am b", - "vi ew", - "Ġfollow ing", - "ĠF ebruary", - "in c", - "z e", - "ov e", - "y n", - "Ġret urn", - "Ġf in", - "on y", - "Ġc ity", - "Ġw ill", - "iv ision", - "ĠEuro pe", - "ĠS w", - "a f", - "h ip", - "Ġch ild", - "r at", - "al es", - "ak ing", - "Ġsever al", - "Ġcomm un", - "ren ch", - "il ity", - "Ġw omen", - "re nt", - "oin t", - "ĠM ed", - "or ks", - "ĠJ apan", - "s p", - "an ge", - "ch n", - "ial ly", - "c om", - "c on", - "ure d", - "Ġl ist", - "Ġs uc", - "ĠGe or", - "p ed", - "Ġe arly", - "Ġa ir", - "ĠB ar", - "Ġcont in", - "Ġ '", - "Ġto wn", - "Ġcomp et", - "Ġcl ub", - "ĠE l", - "Ġm in", - "Ġres ult", - "h am", - "ib le", - "1 2", - "ĠA nd", - "ĠH ar", - "ĠH istory", - "is ed", - "al ly", - "Ġs ince", - "ic es", - "ain s", - "st er", - "19 9", - "ĠThe y", - "ĠP art", - "b o", - "r ing", - "Ġn ear", - "ang u", - "Ġn amed", - "Ġorig inal", - "end ed", - "u ed", - "ĠCh rist", - "at a", - "Ġhe ad", - "ĠA b", - "1 6", - "Ġb el", - "Ġdis c", - "Ġpl ace", - "ĠF rench", - "id ed", - "i ence", - "Ġ201 1", - "ĠRe p", - "Ġc ur", - "Ġbe gan", - "il le", - "Ġt it", - "Ġus e", - "iv al", - "an e", - "re en", - "Ġpro gram", - "ĠU S", - "Ġv ill", - "Ġm ember", - "Ġm embers", - "1 5", - "Ġp rom", - "Ġhe ld", - "Ġan y", - "Ġl and", - "ĠCom p", - "Ġb ased", - "ain t", - "ĠR es", - "ĠM c", - "Ġthe se", - "Ġcomp le", - "b le", - "Ġap p", - "m e", - "Ġsup port", - "oun c", - "ĠAf ric", - "al ity", - "Ġg overnment", - "r ight", - "Ġ200 8", - "ĠR uss", - "Ġm et", - "Ġ201 2", - "Ġw e", - "ĠR o", - "a ugh", - "Ġ19 0", - "ĠA ir", - "Ġestabl ished", - "i ous", - "Ġal ong", - "Ġe ff", - "t he", - "Ġ ,", - "ĠE ast", - "ĠCh ampionship", - "Ġdesc rib", - "T he", - "in ess", - "Ġen g", - "ition s", - "ĠC ollege", - "Ġp ass", - "ĠWill iam", - "ĠG en", - "an a", - "od e", - ". .", - "Ġd ist", - "pe ct", - "al th", - "ad em", - "Ġ200 9", - "Ġloc ated", - "ur g", - "u k", - "ĠThe re", - "at or", - "ical ly", - "ĠH er", - "or m", - "ac ed", - "Ġd id", - "Ġl aw", - "in o", - "Ġc ol", - "Ġo cc", - "Ġchar act", - "che s", - "f ord", - "ĠAr t", - "c ol", - "at s", - "i en", - "ubl ic", - "ĠP eople", - "Ġp os", - "Ġy ou", - "Ġ201 3", - "ond on", - "ĠN e", - "oci ation", - "ĠIt al", - "Ġ200 6", - "Ġ200 7", - "Ġh ouse", - "Ġe ach", - "t o", - "ĠH igh", - "ing ton", - "ore d", - "Ġ201 4", - "ro w", - "Ġ201 6", - "Ġserv ed", - "our t", - "ĠF ilm", - "Ġto ok", - "qu e", - "Ġs im", - "k y", - "Ġ X", - "1 4", - "ĠRe c", - "Ġb and", - "Ġt r", - "Ġst ation", - "Ġh ome", - "ĠD istrict", - "Ġb us", - "av ing", - "ĠS y", - "ĠIn ternational", - "Ġb orn", - "Ġg ames", - "Ġn ational", - "m ed", - "ly mp", - "i et", - "ĠA c", - "Ġin st", - "Ġ201 5", - "re w", - "er g", - "Ġpro fess", - "in ed", - "Ġ201 8", - "ight s", - "p s", - "Ġcomp any", - "Ġl ine", - "Ġp erson", - "1 3", - "ĠO lymp", - "Ġpopul ation", - "Ġm ajor", - "Ġ18 9", - "ac es", - "our n", - "Ġ20 20", - "ĠD av", - "ill ion", - "ĠL iving", - "ĠL ondon", - "Ġ201 7", - "ĠSe c", - "Ġs l", - "Ġb as", - "Ġj oin", - "Ġsm all", - "Ġle g", - "Ġloc al", - "ĠInd ian", - "ĠL a", - "ard s", - "Ġv ari", - "Ġrece ived", - "Ġde b", - "Ġev ent", - "Ġ2 5", - "Ġgen eral", - "Ġman ag", - "Ġpubl ished", - "Ġte levision", - "ĠC up", - "et t", - "Ġcent ury", - "ĠN ot", - "ilit ary", - "s ide", - "et er", - "Ġ3 0", - "at ure", - "Ġ201 9", - "Ġsing le", - "Ġbu ilt", - "ĠS up", - "Ġv i", - "ĠPh il", - "a ul", - "Ġd ue", - "Ġc ould", - "Ġv ers", - "ĠH owever", - "Ġ $", - "Ġap pro", - "ar ge", - "Ġw orld", - "Ġspec ies", - "ar a", - "Ġc olle", - "um n", - "Ġsuc cess", - "ie f", - "ounc il", - "Ġp o", - "v ers", - "Ġst r", - "in t", - "Ġa round", - "ord ing", - "if ied", - "ĠA ng", - "uth or", - "id es", - "at ely", - "om in", - "ĠG l", - "Ġo ld", - "Ġed uc", - "ĠT r", - "arri ed", - "ĠL ist", - "ĠN o", - "Ġt erm", - "is on", - "ro l", - "ĠC or", - "um mer", - "Ġa ge", - "ff ic", - "l ing", - "ĠT ra", - "ĠH ouse", - "Ġhe l", - "Ġal ign", - "Ġe p", - "ord s", - "e f", - "oc ial", - "ĠP ark", - "r ation", - "Ġp resent", - "ĠP re", - "Ġle ft", - "Ġl ast", - "Ġs ix", - "ĠE n", - "Ġh istory", - "Ġn ow", - "i od", - "a im", - "Ġs aid", - "ĠS an", - "Ġt y", - "Ġ200 0", - "Ġrep resent", - "re et", - "a us", - "id d", - "ra ft", - "t t", - "Ġd ied", - "Ġplay er", - "op h", - "Ġ 0", - "Ġre st", - "1 1", - "Ġc amp", - "iz ation", - "ĠD uring", - "Ġc ar", - "Ġl a", - "um b", - "angu age", - "Ġto p", - "ne y", - "Ġp ar", - "ĠB r", - "on es", - "Ġvill age", - "Ġwith in", - "ĠM ich", - "Ġd et", - "iv en", - "Ġst yle", - "Ġf ive", - "Ġ200 5", - "Ġt ri", - "Ġn orth", - "Ġsh ort", - "Ġ2 4", - "v an", - "ĠR oy", - "Ġor der", - "ide o", - "Ġ18 8", - "Ġd ay", - "in k", - "ĠD es", - "o ks", - "et her", - "u f", - "Ġdescrib ed", - "ak es", - "s c", - "ow s", - "ur ther", - "19 8", - "ent ly", - "Ġth ird", - "Ġbuild ing", - "al k", - "Ġinclud e", - "ĠR iver", - "Ġinclud ed", - "Ġp ost", - "um ent", - "Ġd own", - "ast er", - "if orn", - "ĠP er", - "Ġdif fer", - "d ay", - "he m", - "ĠA g", - "Ġchild ren", - "Ġre port", - "ur s", - "ĠEng land", - "c o", - "ĠCh ar", - "Ġ202 1", - "att le", - "Ġre f", - "vi ous", - "Ġre qu", - "ĠS ch", - "ĠA ct", - "n a", - "er a", - "feren ce", - "Ġbec ause", - "ke y", - "t ain", - "iforn ia", - "Ġad m", - "ĠB y", - "th ough", - "Ġann oun", - "Ġl arge", - "Ġcons id", - "iv ely", - "re g", - "ĠG ro", - "ĠM al", - "Ġs outh", - "g round", - "Ġs on", - "ĠAustral ia", - "Ġ200 4", - "ic o", - "Ġd em", - "rid ge", - "ri end", - "Ġd istrict", - "ĠCal ifornia", - "l er", - "col or", - "Ġst and", - "ĠP ort", - "ĠB ra", - "Ġm ark", - "ĠM on", - "os p", - ". ,", - "use um", - "ct ure", - "Ġar ch", - "Ġp ower", - "inn ing", - "Ġst at", - "Ġbo ok", - "uc k", - "od y", - "ĠY ou", - "ĠPart y", - "en cy", - "Ġl o", - "Ġdeath s", - "ri pt", - "Ġ202 2", - "Ġc rit", - "ad io", - "it er", - "part ment", - "land s", - "in ing", - "Ġw ar", - "con om", - "um an", - "Ġappe ar", - "Ġc or", - "ĠD em", - "Ġm ale", - "Ġl arg", - "k a", - "Ġis s", - "ĠR oman", - "re st", - "Ġ18 6", - "Ġj ust", - "ist er", - "Ġ2 2", - "Ġre pl", - "ĠB el", - "c er", - "al d", - "al f", - "Ġw ater", - "Ġserv ice", - "g ed", - "Ġper iod", - "Ġn on", - "Ġper form", - "Ġadd ition", - "n ess", - "Ġres p", - "v es", - "Ġk ill", - "am ent", - "oci ety", - "ĠA nt", - "Ġde p", - "ee k", - "Ġv is", - "he l", - "our s", - "e le", - "Ġre fer", - "ĠS m", - "a ff", - "er ing", - "ĠO ne", - "Ġmov ed", - "ĠA ward", - "en se", - "Ġc r", - "ĠE m", - "Ġdiffer ent", - "iz e", - "Ġcur rent", - "ĠAustral ian", - "Ġro und", - "Ġl ike", - "ot e", - "rib ut", - "5 0", - "ĠAr my", - "Ġ2 3", - "Ġinc re", - "om b", - "Ġm illion", - "Ġl ed", - "k i", - "l ine", - "ĠN or", - "p ar", - "Ġt rad", - "Ġbus iness", - "am a", - "ĠA cc", - "t al", - "av y", - "her n", - "ĠM inist", - "Ġan other", - "Ġth ose", - "o on", - "Ġh istor", - "ĠR ober", - "op s", - "o f", - "Ġsh ip", - "Ġ18 7", - "Ġe qu", - "Ġst ill", - "and er", - "Ġ if", - "Ġf ather", - "Ġ el", - "Ġf ield", - "Ġw est", - "ĠJ ames", - "Ġd el", - "ĠInd ia", - "Ġex per", - "Ġa uthor", - "i ber", - "ĠM or", - "ĠSt e", - "d e", - "ep end", - "Ġf ac", - "c hed", - "iv il", - "Ġact iv", - "Ġh and", - "Ġcomp os", - "ĠCh urch", - "ĠM usic", - "Ġbe st", - "ĠGen eral", - "ĠFran ce", - "Ġp ort", - "Ġk m", - "o x", - "Ġannoun ced", - "Ġin ternational", - "Ġdeb ut", - "stru ction", - "Ġtit le", - "Ġcount ry", - "d om", - "ĠQ u", - "Ġs old", - "Ġf em", - "ĠTh om", - "Ġw in", - "as es", - "Ġ200 3", - "v ille", - "Ġ( )", - "Ġestabl ish", - "ĠY ear", - "19 7", - "u el", - "Ġcharact er", - "Ġe ast", - "Ġpolit ic", - "ĠGeor ge", - "ĠD ivision", - "f ield", - "un icip", - "us h", - "Ġs ide", - "c ast", - "Ġp at", - "Ġd ra", - "b e", - "ĠRoy al", - "Ġc ult", - "ourn al", - "ĠA p", - "an ish", - "re ad", - "Ġn ov", - "Ġa v", - "g color", - "Ġpre vious", - "ĠM ount", - "g in", - "Ġm ake", - "ĠEurope an", - "Ġ very", - "ri es", - "a el", - "ĠQ ue", - "ĠP e", - "ort hern", - "Ġa ward", - "ĠCl ub", - "ĠCanad ian", - "Ġset t", - "ug g", - "ĠAc adem", - "Ġele ction", - "Ġpro ject", - "ip p", - "l in", - "le x", - "ĠP al", - "Ġam ong", - "m s", - "ap p", - "ab or", - "Ġw orks", - "ĠV al", - "ĠG r", - "Ġ2 6", - "ĠCanad a", - "Ġ200 2", - "ĠE le", - "i us", - "ĠR ich", - "Ġf r", - "al ign", - "Ġro le", - "g es", - "Ġpro duced", - "ĠW hen", - "w ork", - "ĠP aul", - "Ġf e", - "Ġm ag", - "pl oy", - "for man", - "Ġle vel", - "ĠB u", - "o ff", - "Ġof ten", - "ol ution", - "Ġa ff", - "Ġl ate", - "Ġs pe", - "Ġre ad", - "Ġw eb", - "a pe", - "ĠDav id", - "ĠC ouncil", - "Ġth ough", - "Ġinv ol", - "Ġre se", - "Ġb gcolor", - "ĠF ootball", - "Ġp e", - "Ġ199 0", - "it ar", - "st on", - "at ch", - "Ġwrit ten", - "Ġex pl", - "Ġ2 8", - "Ġ2 7", - "or ies", - "im ent", - "ĠL ou", - "Ġeng ine", - "Ġf ore", - "ĠH ol", - "Ġep is", - "ĠAss ociation", - "Ġ es", - "stit ute", - "Ġad v", - "b ack", - "Ġte chn", - "ac ks", - "Ġ200 1", - "ĠW ith", - "b an", - "ĠR ed", - "Ġstart ed", - "Ġev en", - "ĠD r", - "umn i", - "Ġyou ng", - "Ġp oss", - "Ġall ow", - "o le", - "em pt", - "Ġcl os", - "iv id", - "o e", - "ro te", - "Ġm arried", - "it or", - "Ġg rad", - "ĠR ail", - "v al", - "Ġc ame", - "Ġoffic ial", - "Ġin it", - "Ġc over", - "Ġim port", - "ĠP resident", - "Ġcre ated", - "ĠAmer ica", - "ou ther", - "Ġw ent", - "form ation", - "Ġg iven", - "Ġs ite", - "Ġto tal", - "ol ic", - "g y", - "ir c", - "ĠSt reet", - "al t", - "Ġst ru", - "Ġe very", - "ĠF irst", - "Ġt urn", - "outher n", - "Ġcommun ity", - "y a", - "ĠF rom", - "ĠS ing", - "er ation", - "w est", - "oin ted", - "ĠSt ud", - "3 0", - "Ġjoin ed", - "ra p", - "om et", - "Ġv al", - "Ġeff ect", - "ĠH istor", - "it te", - "ĠK h", - "Ġra il", - "ot s", - "Ġpolit ical", - "Ġch ang", - "Ġwork ed", - "Ġwh at", - "Ġp res", - "Ġcon c", - "i j", - "Ġvari ous", - "ir on", - "Ġf re", - "Ġdevelop ment", - "ag o", - "ber t", - "ĠS en", - "ree k", - "ĠT own", - "Ġcon f", - "pos ed", - "s ite", - "ĠT rans", - "b or", - "ir l", - "Ġpro cess", - "m a", - "Ġ1 00", - "Ġt w", - "Ġv ideo", - "e al", - "Ġprofess ional", - "Ġele ct", - "her s", - "Ġf act", - "Ġm ilitary", - "ĠS l", - "ac hed", - "' t", - "ĠUn ion", - "Ġvers ion", - "at ic", - "olog ical", - "at ri", - "ĠGerman y", - "op e", - "re am", - "ĠGro up", - "Ġm uch", - "s elf", - "Ġpro te", - "Ġprodu ction", - "Ġh aving", - "Ġne xt", - "Ġcomm on", - "Ġb re", - "Ġcl aim", - "Ġbec ome", - "Ġspec ial", - "Ġg r", - "h old", - "ĠM art", - "Ġs ent", - "ĠH en", - "Ġm iss", - "Ġh ost", - "ĠB er", - "og n", - "Ġs w", - "ĠJ e", - "h ib", - "ĠV ir", - "ĠM ary", - "ĠM ag", - "Ġ198 0", - "ĠS er", - "ĠRo ad", - "o or", - "Ġus ing", - "ĠW e", - "Ġp ri", - "ĠBl ack", - "ĠAr ch", - "Ġ [", - "Ġdire ct", - "Ġreturn ed", - "ĠMe x", - "19 6", - "Ġw rote", - "Ġint ro", - "ĠP ri", - "Ġs it", - "Ġp resident", - "Ġpr im", - "m en", - "Ġt em", - "ĠItal ian", - "ĠM y", - "ĠJapan ese", - "Ġ199 9", - "est s", - "Ġ2 9", - "Ġg l", - "ĠAfric an", - "in ation", - "ĠT ur", - "Ġpos ition", - "Ġmat ch", - "h a", - "Ġan t", - "ict ion", - "ĠL aw", - "Ġdire ctor", - "i ography", - "m ing", - "ĠH all", - "oin ts", - "Ġteam s", - "Ġt ake", - "ĠW omen", - "Ġm ult", - "Ġch urch", - "Ġsong s", - "fl u", - "ĠThe se", - "Ġopen ed", - "Ġper forman", - "B C", - "ct s", - "il ar", - "ĠComm un", - "ĠW ash", - "ĠPro v", - "ivid ual", - "Ġf ew", - "Ġev ents", - "id a", - "Ġf un", - "ell ow", - "ĠG ames", - "Ġbe h", - "se qu", - "ĠS am", - "ĠRober t", - "arl iam", - "Ġv ol", - "ak en", - "ib r", - "itt le", - "ĠRuss ian", - "ĠLe g", - "an i", - "ent ion", - "e ad", - "ĠCh ina", - "oc rat", - "u le", - "ĠB est", - "l o", - "arliam ent", - "ar ian", - "g er", - "C A", - "ĠSc ott", - "2 1", - "Ġt imes", - "t ra", - "Ġst ory", - "Ġs ol", - "ĠO ther", - "ec ut", - "Ġpart icip", - "Ġw ay", - "Ġv oc", - "Ġfootball ers", - "y ing", - "ri an", - "Ġalbum s", - "ĠAcc ording", - "augh ter", - "Ġbe g", - "Ġh ig", - "ĠM ad", - "est ed", - "ĠC ap", - "ĠPl ay", - "un t", - "Ġf riend", - "Ġ199 8", - "ĠWash ington", - "it z", - "ĠC ourt", - "n ing", - "ic le", - "Ġatt ack", - "ket ball", - "ĠM iss", - "Ġro ad", - "stit ut", - "our ces", - "itte e", - "il es", - "an ies", - "Ġim p", - "Ġadm inist", - "ĠC ast", - "Ġpopul ar", - "Ġbro ther", - "Ġne ed", - "Ġwith out", - "ĠComp any", - "is l", - "ĠC ont", - "ĠThom as", - "at ter", - "Ġserv ices", - "ra g", - "an ces", - "a ur", - "Ġreg ion", - "end ing", - "Ġp ract", - "ĠS erv", - "Ġstud ents", - "idd le", - "Ġs k", - "Ġs ocial", - "od es", - "ĠC ath", - "Ġt er", - "ĠM en", - "ers hip", - "ĠS al", - "e x", - "wo od", - "ĠK n", - "a ign", - "Ġh alf", - "Ġbro ad", - "y ear", - "2 2", - "Ġg reat", - "Ġf ull", - "r ated", - "Ġcontin ued", - "Ġ197 0", - "Ġl ost", - "ĠA wards", - "ĠKing dom", - "ain ing", - "ĠCent ral", - "ĠS ociety", - "ac y", - "c raft", - "Ġco ach", - "y m", - "Ġm id", - "ĠM ont", - "ĠG rand", - "Ġal umni", - "ĠO p", - "us ed", - "Ġeduc ation", - "ra b", - "Ġrese arch", - "are nt", - "Ġ199 6", - "Ġatt empt", - "Ġs qu", - "Ġd ays", - "is ing", - "Ġh owever", - "ĠI r", - "b urg", - "Ġse e", - "ĠCh in", - "ens us", - "ĠRec ords", - "Ġprom ot", - "ap er", - "ĠM useum", - "4 0", - "Ġcomple ted", - "on a", - "Ġpro duc", - "Ġele cted", - "Ġapp ointed", - "ĠA lex", - "at ors", - "ĠChar les", - "ill s", - "ĠFl or", - "Ġcom b", - "ĠIs land", - "Ġinv est", - "Ġind ust", - "Ġin f", - "Ġ ident", - "est ival", - "in i", - "ĠD on", - "cent er", - "Ġpart y", - "ĠM et", - "Ġfound ed", - "Ġcont rol", - "Ġdire cted", - "ĠE duc", - "ĠCent er", - "Ġrecord ed", - "ĠTe x", - "Ġl im", - "Ġa ver", - "ific ation", - "u it", - "Ġr ight", - "ĠI m", - "r d", - "Ġ199 7", - "Ġsign ed", - "ĠE arly", - "Ġw ife", - "Ġe conom", - "ĠS ummer", - "amp le", - "l ess", - "Ġp oints", - "ber g", - "Ġpro per", - "Ġle ague", - "w h", - "as ons", - "Ġgroup s", - "Ġare as", - "2 3", - "Ġre view", - "Ġ18 5", - "Ġ /", - "ĠDe partment", - "Ġb ase", - "n el", - "Ġconsid ered", - "ish ing", - "ĠS im", - "Ġcon ne", - "Ġra ce", - "r ay", - "ĠAng el", - "ĠWest ern", - "Ġ202 3", - "ĠO ffic", - "Ġp oint", - "ĠJ ew", - "pl ay", - "Ġh on", - "ĠC he", - "Ġpart ic", - "Ġse le", - "at ural", - "ĠFran c", - "Ġre n", - "Ġf ind", - "Ġf urther", - "ĠV ict", - "j e", - "Ġm ar", - "= #", - "ĠT o", - "Ġc oll", - "ĠT V", - "Ġrel ations", - "ĠIn stitute", - "Ġc aus", - "ar ies", - "Ġv ict", - "ĠG old", - "ĠAcadem y", - "ĠLou is", - "ell s", - "Ġsim ilar", - "ĠOlymp ics", - "il i", - "Ġde g", - "ĠB ay", - "th let", - "Ġh old", - "ĠMich ael", - "Ġind ividual", - "way s", - "Ġto g", - "Ġre al", - "Ġpr iv", - "ĠG reat", - "Ġvi ew", - "ĠM ac", - "Ġweb site", - "Ġ z", - "id ence", - "ĠZ eal", - "Ġt en", - "ĠP ress", - "Ġtog ether", - "Ġ199 5", - "u ation", - "um p", - "Ġrele ase", - "ra in", - "ĠP at", - "ĠC ong", - "ĠZeal and", - "Ġ199 2", - "ric k", - "Ġin flu", - "ot a", - "ĠVir gin", - "ĠV ol", - "Ġreport ed", - "ĠChrist ian", - "Ġc ase", - "Ġappe ared", - "ĠM us", - "ĠRep ublic", - "ĠM er", - "ĠU K", - "et work", - "Ġ199 4", - "| |", - "ar ter", - "ar th", - "Ġs ports", - "Ġoff ice", - "ĠSp anish", - "ĠChin ese", - "Ġm other", - "ou l", - "ed eral", - "ĠAfric a", - "Ġtra ck", - "ĠK ore", - "m ar", - "Ġw eek", - "2 5", - "Ġ3 1", - "c ks", - "ĠT om", - "Ġ5 0", - "Ġm y", - "Ġk e", - "i que", - "Ġme et", - "Ġnov el", - "Ġcon d", - "Ġbir th", - "Ġdevelop ed", - "en c", - "Ġform ed", - "Ġin s", - "Ġh ous", - "it ive", - "y d", - "ak er", - "Ġ196 0", - "it ing", - "Ġmed al", - "ĠB ur", - "Ġhel p", - "Ġa ut", - "ĠCar ol", - "Ġgu itar", - "ad es", - "Ġla un", - "Ġass ist", - "ĠB en", - "Ġph ot", - "ĠIn ter", - "ĠT er", - "ul a", - "k n", - "ĠD an", - "ap t", - "Ġwork ing", - "e h", - "du ction", - "Ġd oc", - "Ġar r", - "Ġm aking", - "Ġimport ant", - "Ġto urn", - "c le", - "ĠG reen", - "i ers", - "Ġarch ite", - "ĠH am", - "ĠTex as", - "ail ed", - "ud e", - "re land", - "Ġart ist", - "Ġc ast", - "ĠWh ite", - "ĠP et", - "Ġgro w", - "ed y", - "Ġm unicip", - "Ġap pl", - "Ġg ood", - "im ately", - "it ted", - "ĠWh ile", - "ĠD el", - "Ġv ot", - "b and", - "ĠP ublic", - "Ġof fer", - "t a", - "id ing", - "ĠK e", - "ĠB as", - "c ial", - "ĠS ports", - "g o", - "Ġl ess", - "Ġtrad ition", - "Ġschool s", - "m on", - "ert ain", - "ic les", - "ĠMinist er", - "r as", - "ĠJ ose", - "Ġl ive", - "id ae", - "al a", - "ĠC ons", - "Ġd ata", - "ro ll", - "one y", - "it her", - "Ġph ys", - "Ġf und", - "Ġ199 3", - "ĠDem ocrat", - "Ġty p", - "Ġother s", - "ens ive", - "Ġh uman", - "Ġsh ould", - "Ġd aughter", - "ol a", - "ĠT or", - "ab ly", - "epend ent", - "at ives", - "Ġem ploy", - "Ġro ck", - "Ġd i", - "Ġgro und", - "ĠP eter", - "osp ital", - "Ġre v", - "ĠFran k", - "Ġrec ogn", - "Ġm ater", - "Ġhim self", - "Ġst ar", - "overn or", - "all s", - "v iron", - "Ġbuild ings", - "Ġde cl", - "Ġ =", - "re y", - "ĠCath olic", - "ĠM el", - "ĠS ong", - "ut y", - "ĠRich ard", - "le g", - "Ġr ul", - ") :", - "Ġac ross", - "az ine", - "Ġav ail", - "Ġf ire", - "Ġcomp anies", - "ĠS ur", - "g en", - "h i", - "ic ation", - "ĠSw ed", - "19 5", - "al y", - "ĠB ill", - "Ġb ody", - "p ite", - "s y", - "en a", - "ate g", - "ol f", - "Ġan im", - "ant ed", - "Ġcamp aign", - "Ġst ations", - "and ing", - "at re", - "Ġl anguage", - "sh ire", - "m ost", - "ri a", - "Ġe ight", - "19 4", - "um e", - "Ġdo es", - "ĠW il", - "b our", - "Ġaver age", - "ĠM ass", - "ĠL u", - "ĠU p", - "ĠF ore", - "Ġm ot", - "Ġ199 1", - "ce ed", - "Ġbl ack", - "Ġqu al", - "Ġex ist", - "Ġbec om", - "ĠPar is", - "ĠSec ond", - "Ġplay ing", - "ut es", - "ric ket", - "o ice", - "ra el", - "ĠL at", - "Ġt ro", - "g ress", - "Ġmod ern", - "Ġl ow", - "ĠHen ry", - "em or", - "Ġdef e", - "ĠSup er", - "ĠVict or", - "he ast", - "19 3", - "Ġh ow", - "ĠS ant", - "Ġepis ode", - "Ġ18 4", - "Ġp aint", - "st ro", - "Ġc le", - "Ġ et", - "ĠC ro", - "Ġgrad u", - "o res", - "S t", - "z il", - "Ġst age", - "Ġd ivision", - "Ġd ram", - "Ġex ample", - "Ġd er", - "ĠGeor g", - "Ġc ross", - "em ents", - "Ġ4 0", - "w rit", - "ud d", - "Ġr adio", - "ad a", - "Ġne ver", - "Ġl iving", - "air s", - "ĠD ire", - "Ġperform ed", - "h ood", - "Ġf oc", - "ĠL os", - "Ġfem ale", - "emb ly", - "ch ie", - "oc key", - "and id", - "Ġw inn", - "eth od", - "ĠH on", - "Ġl ight", - "ĠS ome", - "Ġse par", - "Ġart ists", - "Ġbel ie", - "ĠRe v", - "Ġf ree", - "ĠSm ith", - "Ġpolitic ian", - "Ġac qu", - "ĠP enn", - "Ġass oci", - "w are", - "ĠOr der", - "Ġf ight", - "t ime", - "ur a", - "ent ial", - "Ġcont ract", - "ov iet", - "2 4", - "ĠChampionship s", - "ĠL ake", - "ĠB ut", - "ibr ary", - "ough t", - "Ġstr ong", - "ign ed", - "Ġsuccess ful", - "Ġmon ths", - "ĠF C", - "Ġre d", - "Ġkill ed", - "at ory", - "im ate", - "Ġfin ished", - "ĠEduc ation", - "av al", - "Ġpl aces", - "id ents", - "Ġcon struction", - "ĠCh ic", - "he ad", - "pe ople", - "k ed", - "ĠI reland", - "ĠO l", - "Ġg ave", - "Ġestablish ments", - "Ġ198 8", - "ĠC amp", - "Ġm us", - "av es", - "ĠG o", - "Ġavail able", - "ĠDe f", - "Ġcon du", - "Ġa way", - "Ġgo al", - "Ġ198 9", - "v a", - "Ġperforman ce", - "if f", - "ell ing", - "ĠO b", - "ĠS aint", - "Ġt re", - "Ġal though", - "id s", - "ĠP an", - "as c", - "ish op", - "Ġpro t", - "Ġbo oks", - "ran ch", - "il ities", - "viron ment", - "it a", - "ĠS pec", - "Ġj ournal", - "an o", - "Ġin formation", - "Ġ ide", - "ĠD ay", - "ad o", - "inal s", - "z a", - "ic ated", - "ĠFilm s", - "he re", - "ĠOlymp ic", - "Ġd am", - "ĠC ur", - "Ġt aken", - "ĠV ill", - "ĠW in", - "ĠNot es", - "le ft", - "ell a", - "Ġcap t", - "it ch", - "i qu", - "ĠBra zil", - "ĠIs rael", - "ĠD u", - "ific ant", - "Ġshow s", - "Ġfollow ed", - ", \"", - "Ġr ank", - "o o", - "Ġag re", - "ĠR ob", - "ĠC areer", - "Ġto ur", - "ug by", - "Ġc ost", - "Ġm ix", - "ĠVirgin ia", - "Ġhe alth", - "Ġfr ont", - "Ġj ud", - "om a", - "ĠG overnment", - "Ġinclud es", - "Ġaward ed", - "Ġc irc", - "ut ch", - "Ġtourn ament", - "Ġc our", - "ĠM a", - "ĠL ife", - "ĠM in", - "\" |", - "Ġfeat ures", - "ig an", - "Ġ :", - "ĠJ ust", - "I I", - "Ġvi ol", - "Ġoriginal ly", - "Ġdesign ed", - "s erv", - "ĠT our", - "ĠAt l", - "Ġhouse hold", - "ĠH ill", - "ag ed", - "nd er", - "n y", - "i os", - "Ġac cess", - "Ġmater ial", - "ĠTe am", - "Ġse ven", - "se c", - "Ġs en", - "ve y", - "Ġc ourt", - "ĠE mp", - "e g", - "ĠC arl", - "ĠIt s", - "ĠM r", - "Ġim pro", - "Ġp ut", - "om s", - "Ġc ivil", - "Ġrel ig", - "2 6", - "Ġrem ained", - "ĠP erson", - "ĠHistor ic", - "Ġs ound", - "ĠAr ts", - "Ġs il", - "ist an", - "Ġstud y", - "Ġl ab", - "en ed", - "ĠG all", - "ĠR ock", - "Ġon ce", - "ĠG ra", - "2 7", - "Ġfeat ured", - "Ġin j", - "Ġd ou", - "ĠRail way", - "er ous", - "ar ia", - "ĠS qu", - "Ġfor ces", - "atri ate", - "Ġsc ored", - "ĠL and", - "ur ity", - "Ġc y", - "Ġ ill", - "om m", - "Ġt est", - "Ġ #", - "Ġp ress", - "ac hes", - "Ġ198 7", - "ol k", - "Ġb ar", - "ĠChic ago", - "2 8", - "he st", - "it es", - "Ġmark et", - "Ġbas ketball", - "ip le", - "Ġde v", - "Ġre b", - "Ġsing er", - "Ġsign ificant", - "ĠM o", - "ach ing", - "ap s", - "il ies", - "Ġpl an", - "end er", - "Ġex ecut", - "r or", - "ĠS oviet", - "ic ations", - "re l", - "Ġlead ing", - "Ġtra ining", - "em s", - "ĠSc ot", - "v in", - "Ġpol ice", - "Ġmed ia", - "ĠFor ce", - "Ġe arn", - "ver t", - "ĠS ub", - "y e", - "ic y", - "Ġ195 0", - "ĠM il", - "C h", - "Ġm ount", - "Ġlarg est", - "Ġr ights", - "ĠS ir", - "ear ch", - "ĠComm ission", - "augh t", - "ĠT wo", - "ĠItal y", - "m ier", - "A mer", - "ĠS o", - "ĠPro fess", - "Ġ198 6", - "our ce", - "Ġm ust", - "Ġair craft", - "Ġst ri", - "ĠM od", - "Ġmod el", - "ut er", - "ĠMex ico", - "Ġ198 4", - "Ġch art", - "Ġen c", - "y p", - "Ġs em", - "ĠCl ass", - "ĠI ll", - "Ġthrough out", - "ĠPol it", - "Ġl iter", - "ist ics", - "ĠP arliament", - "Ġg old", - "Ġtrans fer", - "Ġcons ist", - "v ing", - "ĠS ince", - "ĠMar k", - "Ġinvol ved", - "Ġc ou", - "ĠC at", - "Ġlist ed", - "Ġsub sequ", - "ord er", - "Ġst ated", - "ien ces", - "Ġwh ite", - "ĠO ff", - "ĠAn n", - "Ġw id", - "un k", - "Ġbo ard", - "s el", - "Ġintro duced", - "Ġrepl aced", - "ĠIr ish", - "Ġs ugg", - "ann el", - "Ġe arl", - "Ġse en", - "Ġcompet ition", - "Ġb i", - "Ġ18 3", - "un s", - "ĠE r", - "ĠProv ince", - "ĠFlor ida", - "Ġc andid", - "Ġd iv", - "if t", - "6 0", - "2 9", - "Ġtrans l", - "ĠN avy", - "ĠM ur", - "Ġ198 5", - "Ġwrit er", - "Ġevent ually", - "Ġpriv ate", - "Ġv ia", - "Ġresp ons", - "rib ution", - "ut ure", - "ĠTe chn", - "Ġcrit ic", - "Ġresult s", - "Ġent ire", - "u ff", - "Ġvoc als", - "c her", - "Ġab le", - "u z", - "um m", - "ĠD o", - "te xt", - "Ġr an", - "Ġadd ed", - "ret ary", - "ĠAl though", - "Ġc ollege", - "ĠD en", - "Ġpro ble", - "ĠO per", - "ĠComm ittee", - "ĠF estival", - "Ġfour th", - "ĠS il", - "o ch", - "Ġp ast", - "Ġcount ries", - "ĠF in", - "as k", - "ĠB us", - "ro ad", - "A S", - "el t", - "ĠW ales", - "c ript", - "Ġw ind", - "ĠAngel es", - "y r", - "ĠO ver", - "Ġcent ral", - "Ġst e", - "Ġact ress", - "m b", - "uf act", - "Ġsur v", - "as ing", - "ul arly", - "Ġa ud", - "Ġwrit ers", - "u a", - "ian o", - "Ġcomm and", - "Ġass ociation", - "Ġle ast", - "m in", - "Ġres pect", - "i res", - "ĠBro wn", - "ĠE v", - "Ġl oss", - "yl van", - "Amer ican", - "Ġsp ace", - "por ary", - "Ġs er", - "A R", - "ĠSc ience", - "ĠO ut", - "mer cial", - "8 0", - "ĠN orthern", - "Ġun its", - "ĠM ost", - "ab ility", - "f ic", - "ĠR h", - "Ġn omin", - "ĠF ound", - "ĠSt ar", - "ĠRuss ia", - "Ġm inist", - "Ġs ch", - "b b", - "ok e", - "ĠU k", - "ĠG od", - "r up", - "Ġdeg ree", - "i ro", - "ĠCong ress", - "ĠCarol ina", - "Ġst aff", - "Ġdisc over", - "Ġ198 3", - "Ġr ange", - "Ġst ates", - "ib l", - "ĠAr g", - "ri al", - "Ġcl ose", - "ĠR os", - "Ġdoc ument", - "ra w", - "ĠJ un", - "Ġbroad cast", - "n ow", - "Ġf ig", - "Ġab ove", - "pl es", - "Ġre ached", - "med i", - "g ian", - "l or", - "Ġc ensus", - "ĠServ ice", - "st e", - "ant ic", - "Ġpl ant", - "ĠCol umb", - "ĠL iber", - "ĠE s", - "ĠC r", - "Ġch ange", - "erv e", - "T V", - "Ġprov ided", - "ĠJose ph", - "ĠO h", - "Ġse asons", - "Ġt reat", - "Ġcurrent ly", - "oy s", - "Ġex hib", - "ĠO ld", - "i ents", - "b ur", - "rough t", - "Ġg et", - "Ġcont ribut", - "Ġexp ress", - "ylvan ia", - "l im", - "Ġp ur", - "Ġe ither", - "Ġf av", - "Ġ( \"", - "Ġch ampionship", - "r ative", - "ĠS a", - "f ace", - "Ġtra vel", - "or por", - "Ġac cept", - "Ġpl aced", - "u x", - "sy ch", - "Ġmiss ing", - "Ġup on", - "ĠF re", - "al ed", - "F A", - "Ġrail way", - ") ;", - "bo ard", - "ĠS eries", - "Ġs aw", - "ad ium", - "Ġinter est", - "st ant", - "ian a", - "Ġstru ct", - "ĠC am", - "F L", - "ĠP ac", - "ab it", - "ist ic", - "ip l", - "Ġ198 2", - "Ġcent er", - "Ġm ur", - "w ell", - "Ġk ey", - "Ġ !", - "Ġa ction", - "ĠAss embly", - "a ut", - "ĠF ort", - "ĠD ou", - "Ġocc ur", - "ed s", - "Ġty pe", - "ĠM os", - "cept ion", - "Ġp ot", - "ĠM ic", - "kn own", - "p ly", - "is es", - "Ġc op", - "ĠF urther", - "ĠF ollow", - "Ġn ight", - "Ġa chie", - "ig er", - "g l", - "ĠS k", - "Ġd u", - "ĠR am", - "Ġatt ended", - "Ġ197 9", - "stit ution", - "Ġle arn", - "ĠM ill", - "Ġcharact ers", - "ĠB re", - "l anguage", - "ĠB attle", - "ĠA rab", - "Ġse x", - "ubl ican", - "ay ing", - "ĠM at", - "az z", - "Ġcap ital", - "p ress", - "ĠP opul", - "et te", - "Ġme as", - "Ġdec ided", - "ĠM ain", - "ĠW ood", - "Ġf if", - "l am", - "i h", - "ĠM ajor", - "ĠT ro", - "ele b", - "Ġar g", - "Ġdec ision", - ". )", - "ult ural", - "Ġprevious ly", - "Ġdra w", - "ĠRes earch", - "eng th", - "ar ily", - "ĠEmp ire", - "ĠG reek", - "ĠF red", - "ult ure", - "c a", - "Ġst re", - "Ġde stro", - "Ġne igh", - "Ġ197 2", - "Ġlead er", - "Ġh om", - "d en", - "ĠDemocrat ic", - "g r", - "Ġappro x", - "am ily", - "Ġstud io", - "Ġse ction", - "er o", - "Ġus ually", - "Ġme an", - "ĠPenn s", - "Ġ197 6", - "or ing", - "Ġm ass", - "ĠS ol", - "Ġdefe ated", - "ĠOffic ial", - "ĠH a", - "Ġsing les", - "and a", - "Ġed ition", - "ĠMart in", - "u an", - "ĠD utch", - "Ġre ve", - "Ġocc up", - "ow ers", - "st ra", - "re me", - "ĠC le", - "ĠS un", - "p ing", - "ĠFollow ing", - "Ġkn ow", - "Ġg rand", - "Ġn atural", - "Ġinst ead", - "Ġeff ort", - "ĠMed al", - "ĠJ im", - "ĠScott ish", - "Ġp ain", - "Ġpo et", - "Ġact or", - "Ġr iver", - "ĠSp ain", - "ch an", - "Ġf arm", - "Ġp arent", - "Ġacc ount", - "il s", - "ig a", - "ĠS ocial", - "ĠPenns ylvania", - "Ġb ur", - "B A", - "or a", - "Ġsub ject", - "st r", - "c el", - "c ell", - "Ġ198 1", - "Ġw inning", - "Ġproduc er", - "ĠG ar", - "inc ip", - "ans as", - "ĠM embers", - "Ġinvest ig", - "Ġwh ose", - "ult y", - "ult s", - "Ġm ethod", - "ĠW al", - "um ents", - "Ġpl ann", - "Ġ197 8", - "ĠL ove", - "Ġpart s", - "ĠIn c", - "Ġact ive", - "Ġ197 4", - "Ġrepresent ed", - "in ent", - "ĠM ilitary", - "Ġmov ement", - "at o", - "Ġg e", - "ĠH ow", - "Ġprim ary", - "Ġprov ide", - "ĠAs ian", - "Ġfam ilies", - "Ġcult ure", - "Ġ196 8", - "ĠP ak", - "w an", - "Ġrelations hip", - "Ġplay s", - "9 0", - "ĠL ater", - "ĠF inal", - "b ased", - "Ġf ar", - "Ġp ark", - "ĠR adio", - "Ġsc ient", - "Ġorgan iz", - "pt ion", - "Ġpr ison", - "ĠJ ud", - "Ġde al", - "ĠLe e", - "Ġp red", - "Ġn orthern", - "Ġ194 0", - "Ġs outhern", - "Ġbeh ind", - "Ġp urch", - "ĠE p", - "pos ition", - "r ig", - "Ġt ax", - "ĠH ot", - "cl us", - "ĠT w", - "ar io", - "Ġ197 5", - "ug u", - "ĠC ross", - "l a", - "ĠI ran", - "ĠYou ng", - "ig ital", - "Ġmus ical", - "ĠBu ild", - "ad y", - "ens ion", - "Ġs ize", - "y er", - "ĠC ivil", - "ĠCh ief", - "Ġb ank", - "Ġl ik", - "7 0", - "omet imes", - "Ġ197 7", - "se e", - "ri e", - "Ġl ower", - "ĠB ul", - "ing u", - "ĠBo ard", - "w er", - "ĠB et", - ".. .", - "Ġgo als", - "isc o", - "ĠS ar", - "ĠSp ace", - "Ġb rought", - "ĠP ost", - "Ġread ing", - "Ġco ast", - "Ġnew sp", - "ĠB ig", - "ĠB ase", - "erg y", - "Ġout side", - "ĠL oc", - "Ġac adem", - "ĠH el", - "Ġs us", - "s k", - "ĠS outhern", - "ĠReg ister", - "\" )", - "n ot", - "Ġp ers", - "Ġcolle ction", - "Ġh ard", - "Ġorgan ization", - "im b", - "ar ing", - "Ġc ut", - "Ġ i", - "ĠC D", - "end s", - "ĠH aw", - "Ġr ather", - "all ed", - "ĠB ack", - "ers ey", - "Ġ197 3", - "Ġf all", - "m ark", - "Ġclos ed", - "a o", - "Ġindust ry", - "Ġrun s", - "Ġwrit ing", - "al i", - "Ġn etwork", - "Ġg irl", - "Ġend ed", - "N A", - "Ġc ricket", - "ĠJ ack", - "Ġman ufact", - "Ġc are", - "h an", - "Ġdram a", - "Ġk ing", - "ĠL uc", - "or se", - "Ġfor ce", - "Ġsh ot", - "ir m", - "Ġfootball er", - "Ġ193 0", - "ĠAd m", - "it an", - "Ġsystem s", - "anc ial", - "p an", - "at i", - "pec ially", - "he t", - "aw a", - "ĠO x", - "I D", - "ĠEd ward", - "ĠEng ine", - "ct ive", - "Ġh it", - "ĠL ong", - "Ġes c", - "ul ation", - "oun ter", - "Ġposs ible", - "Ġw ood", - "Ġim m", - "ĠVal ley", - "ĠR el", - "Ġreg ard", - "ĠU nder", - "ĠT ri", - "Ġ194 5", - "Ġmat ches", - "m ond", - "Ġallow ed", - "Ġstud ies", - "ĠV er", - "ĠU r", - "ĠS pr", - "ĠT imes", - "Ġne g", - "Ġal most", - "it ors", - "ĠRep ublican", - "Ġreg ular", - "Ġ196 9", - "ven ue", - "id er", - "Ġstru cture", - "Ġst op", - "in ary", - "Ġ197 1", - "Ġmag azine", - "ĠJew ish", - "em ic", - "ur b", - "Ġchang ed", - "Ġcomm ission", - "Ġfre qu", - "c ient", - "enn is", - "ĠTe levision", - "in ated", - "l ike", - "ĠJ ul", - "ent h", - "Ġc at", - "ĠB ob", - "back ground", - "ĠP o", - "ĠB ank", - "Ġd en", - "ĠMich igan", - "Ġis land", - "c ing", - "Ġpl at", - "Ġsett le", - "Ġsch ol", - "ĠD isc", - "Ġlaun ched", - "Ġb all", - "ĠM ah", - "Ġoper ations", - "it iz", - "ĠC amb", - "air man", - "ov ers", - "Ġw oman", - "ĠPl aces", - "velop ment", - "Ġbeg inning", - "ac ing", - "Ġperson al", - "ĠJ er", - "ĠO s", - "Ġter rit", - "k o", - "Ġto wards", - "3 5", - "on n", - "Ġte xt", - "i as", - "Ġtrans port", - "ĠMc C", - "Ġgen us", - "ĠA thlet", - "Ġown ed", - "Ġdet erm", - "Ġt aking", - "Ġn ar", - "Ġf ood", - "ĠOp en", - "Ġmanag er", - "et ts", - "Ġacc ording", - "e es", - "Ġ196 7", - "Ġc ases", - "ĠT im", - "Ġm er", - "ĠH ung", - "ĠHe alth", - "ip s", - "y an", - "Ġn ames", - "ak a", - "Ġind ependent", - "Ġcon stru", - "Ġwh om", - "Ġp ay", - "us band", - "ĠV i", - "ly ing", - "Ġ196 4", - "ol s", - "Ġsc ience", - "Ġf a", - "Ġrem ov", - "Ġoffic er", - "Ġc red", - "ĠPhil ipp", - "Ġ )", - "ĠOh io", - "ĠB h", - "Ġsc ore", - "st ate", - "ĠK ent", - "Ġapprox imately", - "ĠIn f", - "Ġmin or", - "Ġv eh", - "ĠT op", - "Ġob serv", - "ĠL ine", - "ĠF r", - "7 5", - "ĠUn ivers", - "Ġcomp let", - "Ġbre ak", - "ĠR ou", - "im a", - "ĠPol and", - "Ġfun ction", - "ib ility", - "ĠJ o", - "b ury", - "ino is", - "Ġe ver", - "Ġsc reen", - "b on", - "Ġconc ern", - "Ġsp ent", - "Ġar my", - "ĠG al", - "ĠArg ent", - "Ġaddition al", - "ct ing", - "g a", - "pe cted", - "Ġsqu ad", - "Ġ6 0", - "ĠD is", - "o id", - "Ġph il", - "ĠII I", - "ĠA re", - "o ir", - "Ġnot ed", - "in et", - "ĠScot land", - "ĠM ot", - "ĠG h", - "Ġs elf", - "Ġob ject", - "en ced", - "Ġcomple x", - "Ġbo x", - "ir a", - "Ġc eleb", - "amp ions", - "ĠT re", - "ach us", - "ĠL ord", - "if y", - "w w", - "Ġiss ues", - "Ġcount y", - "ĠPol ish", - "Ġ19 20", - "os h", - "il ed", - "Ġch ief", - "ĠB or", - "en ces", - "Ġsen ior", - "es h", - "k ing", - "ĠQue en", - "Ġc he", - "Ġmon th", - "Ġb attle", - ": #", - "Ġcom mercial", - "ost on", - "Ġl ived", - "Ġs ummer", - "Ġele ctions", - "4 5", - "Ġits elf", - "Ġd ate", - "Ġmult iple", - "Ġrel ated", - "uf fer", - "ĠPac ific", - "Ġs at", - "read y", - "Ġpolitic ians", - "Ġfoc us", - "Ġhig hest", - "Ġro ute", - "ĠNew s", - "Ġso on", - "ĠM att", - "ĠJ r", - "ĠIll inois", - "Ġtradition al", - "d own", - "Ġto o", - "Ġl ittle", - "Ġf uture", - "Ġle t", - "Ġqu est", - "Ġes pecially", - "ĠDire ctor", - "Ġhig her", - "Ġopen ing", - "ay a", - "ard en", - "Ġsup er", - "Ġlo ok", - "ĠE nd", - "Ġ196 5", - "um s", - "Ġm oney", - "Ġc al", - "ac her", - "ĠO k", - "ĠBrit ain", - "Ġrequ ired", - "ĠRep resent", - "achus etts", - "f ect", - "Ġinter view", - "Ġun ion", - "ĠCon ference", - "ĠD i", - "ĠJ ersey", - "Ġ196 6", - "bur gh", - "em porary", - "ĠS and", - "ĠGeorg ia", - "Ġen vironment", - "r ich", - "ad or", - "Ġed itor", - "ct ic", - "ob al", - "Ġcont ains", - "Ġappear ance", - "ĠC y", - "ĠAs ia", - "Ġbel ow", - "Ġ18 0", - "k ins", - "Ġproper ty", - "Ġpri or", - "ĠG overnor", - "ĠA z", - "19 0", - "ĠC olle", - "ĠL ab", - "ĠMass achusetts", - "Ġvict ory", - "h ouse", - "Ġme ans", - "Ġsele cted", - "Ġent ered", - "ch ange", - "on se", - "ĠB oston", - "ĠF er", - "Ġstud ied", - "d s", - "Ġpro f", - "ig r", - "p ut", - "Ġh usband", - "ĠL o", - "ĠBo ok", - "Ġpract ice", - "ĠEast ern", - "S A", - "Ġe mer", - "Ġsur round", - "Ġloc ation", - "al ys", - "st anding", - "Ġex am", - "ut en", - "Ġassoci ated", - "emor ial", - "ĠTh at", - "Ġun it", - "ĠC O", - "ĠJ ournal", - "vent ion", - "Ġm ission", - "Ġstruct ures", - "Ġb ass", - "Ġr ad", - "ĠHe ad", - "Ġmur der", - "Ġtr ade", - "j a", - "Ġ3 5", - "Ġd on", - "w a", - "Ġprofess or", - "ĠL ibrary", - "ĠColumb ia", - "ĠB ang", - "Ġc ertain", - "Ġcent re", - "ĠJ ac", - "Ġstand ard", - "Ġship s", - "ĠG re", - "F C", - "Ġret ired", - "op er", - "Ġse at", - "Ġad op", - "Ġearl ier", - "ĠPr ince", - "Ġar ran", - "Ġ ens", - "3 3", - "i i", - "Ġrun ning", - "Ġmanag ement", - "ĠM ore", - "Ġ er", - "Ġbecom ing", - "Ġd om", - "ĠJe an", - "Ġde partment", - "ĠG ame", - "w ith", - "ĠF ield", - "Ġstud ent", - "ry ing", - "Ġ194 4", - "ĠM P", - "Ġactiv ities", - "t ained", - "Ġso ft", - "Ġt rib", - "ĠThe atre", - "ĠJ ones", - "Ġclub s", - "Ġcom e", - "ĠWilliam s", - "Ġl ength", - "an ks", - "Ġem b", - "Ġmunicip ality", - "il a", - "Ġleg al", - "and ed", - "i y", - "al le", - "Ġcoll abor", - "ĠSt an", - "ail s", - "ig g", - "ĠDe velopment", - "Ġmed ical", - "Ġact ors", - "Ġs uffer", - "Ġcom edy", - "arri age", - "in em", - "N E", - "ĠM iddle", - "gy pt", - "ian ce", - "Ġleg isl", - "Ġinit ially", - "om y", - "ĠW eb", - "Ġqu arter", - "Ġcaus ed", - "9 9", - "ĠM any", - "Ġal ready", - "ad el", - "Ġs ometimes", - "Ġp ie", - "s en", - "b re", - "ĠS oc", - "Ġp en", - "Ġth us", - "Ġtra in", - "ĠCo ast", - "ĠFranc isco", - "ĠE conom", - "ĠV an", - "Ġdestro y", - "Ġmov e", - "Ġoper ated", - "et ic", - "ĠI f", - "Ġfeat ure", - "ĠB ow", - "ĠH ong", - "Ġgeneral ly", - "ĠSt ep", - "ĠK ong", - "Ġar rest", - "Ġfore st", - "Ġincre ased", - "Ġequ ip", - "ĠD et", - "ĠS at", - "Ġold er", - "Ġh ockey", - "Ġl ove", - "ĠK ar", - "ĠW ater", - "ant ry", - "Ġcour se", - "Ġw ide", - "ĠOr gan", - "tra ck", - "Ġwest ern", 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+ "ĠN orth", + "t il", + "it al", + "Ġsp ec", + "u ally", + "Ġplay ers", + "ĠEu rope", + "oug h", + "y p", + "e e", + "Ġm ay", + "Ġm an", + "Ġw on", + "Ġl ike", + "ro s", + "art ment", + "r ist", + "ĠA ward", + "f orm", + "Ġs m", + "Ġe ar", + "ain t", + "Ġs uch", + "a x", + "he m", + "00 0", + "Ġto wn", + "fer ent", + "Ġre l", + "ĠF l", + "Ġar t", + "Ġmus ic", + "er ed", + "i ous", + "Ġin d", + "2 3", + "u al", + "Ġrele ased", + "Ġc re", + "am ed", + "ĠT e", + "in es", + "Ġ2 4", + "is hed", + "Ġestab lishments", + "Ġch ar", + "i um", + "ĠP resident", + "ro ugh", + "ĠP art", + "tern ational", + "Ġb ro", + "ĠA f", + "p en", + "s h", + "et s", + "Ġth ree", + "Ġdif ferent", + "Ġp erson", + "un g", + "Ġsec ond", + "Ġdire ct", + "Ġun til", + "ĠM ov", + "c er", + "ĠR iver", + "ĠR uss", + "Ġs up", + "Ġl ong", + "row span", + "ĠW est", + "ef ore", + "Ġst r", + "ot t", + "ĠE l", + "Ġg overn", + "Ġ200 3", + "er g", + "is e", + "Ġw ill", + "os s", + "Ġ2 5", + "il m", + "Ġ qu", + "Ġc ap", + "Ġ199 8", + "ĠL a", + "Ġw orld", + "ĠI I", + "e ed", + "o x", + "Ġle ad", + "st em", + "Ġl ater", + "Ġm ed", + "ĠG r", + "Ġthe n", + "1 1", + "Ġb ook", + "ĠAl l", + "are er", + "ant s", + "Ġch ild", + "ĠH is", + "Ġ201 9", + "ri ed", + "at ive", + "le t", + "er v", + "Ġd r", + "Ġ201 7", + "Ġd ec", + "en c", + "z e", + "Ġn ational", + "Ġm ember", + "Ġa ge", + "Ġth rough", + "ĠR el", + "Ġm ar", + "Ġare a", + "at s", + "om en", + "ĠA b", + "Ġm ain", + "it s", + "ĠA fter", + "ther n", + "amp ions", + "ut ion", + "Ġ200 4", + "3 0", + "ĠW h", + "ĠA m", + "ĠS e", + "ĠG u", + "ograph y", + "el s", + "ĠCom mun", + "Ġ3 0", + "f ect", + "in k", + "c c", + "v ent", + "Ġsong s", + "19 7", + "Ġ201 8", + "Ġs ame", + "Ġsing er", + "ĠB ar", + "ctor s", + "ul l", + "olog y", + "Ġsm all", + "Ġb and", + "O S", + "Ġc ar", + "Ġm ake", + "Ġl oc", + "ĠH er", + "Ġ200 5", + "re en", + "ĠGe or", + "Ġ201 4", + "ĠCh rist", + "Ġfor mer", + "Ġf our", + "Ġs ub", + "d om", + "ly mp", + "ĠB e", + "g er", + "ĠM an", + "g est", + "Ġre t", + "5 0", + "in o", + "re t", + "ian s", + "c om", + "Ġdep artment", + "Ġcon s", + "Ġl angu", + "Ġk ill", + "Ġf e", + "Ġpro v", + "ĠSp ace", + "Ġus e", + "Ġa m", + "ĠO lymp", + "Ġl ife", + "l p", + "Ġm et", + "ak es", + "ĠW ill", + "if orn", + "ĠC ent", + "Ġa ir", + "is c", + "oun c", + "ov e", + "c ent", + "ĠCal iforn", + "Ġbe ing", + "Ġ19 0", + "ur al", + "y l", + "\" ,", + "Ġc r", + "ĠH ar", + "ĠCaliforn ia", + "Ġg ame", + "f ess", + "ĠPart y", + "Ġw ell", + "Ġ20 21", + "Ġprod uc", + "Ġ ed", + "oll ow", + "b le", + "Ġm od", + "Ġb ack", + "j ect", + "ĠR e", + "Ġn o", + "Ġp ages", + "Ġrec ord", + "ĠH ow", + "Ġd id", + "Ġof ten", + "Ġb el", + "y n", + "an k", + "Ġ2 1", + "Ġre p", + "Ġn amed", + "ie w", + "2 4", + "at ing", + "ĠB ra", + "land s", + "om et", + "Ġstart ed", + "6 0", + "iel d", + "Ġg u", + "r est", + "Ġ .", + "ĠCh ar", + "Ġo ld", + "ĠP ol", + "ĠO ff", + "Ġ201 6", + "a e", + "Ġreg ion", + "Ġb ased", + "Ġ2 3", + "2 5", + "st it", + "ĠGerman y", + "ĠN or", + "il le", + "ug ht", + "Ġb efore", + "Ġsy stem", + "al d", + "Ġ201 5", + "ĠA ng", + "8 0", + "Ġm unicipal", + "r ies", + "Ġfam ily", + "ĠM inist", + "Ġ2 9", + "ĠJapan ese", + "ician s", + "om ar", + "our n", + "ĠEng land", + "Ġs aid", + "Ġp ar", + "Ġre m", + "ĠInd ian", + "ĠRel ated", + "Ġo wn", + "ĠR oman", + "ener al", + "Ġ200 6", + "ĠPal omar", + "Ġagain st", + "Ġs ince", + "el f", + "Ġund er", + "ĠT r", + "if ic", + "ir d", + "Ġc areer", + "ond on", + "uc k", + "Ġact ress", + "on y", + "et her", + "Ġcommun e", + "ill ion", + "Ġt ran", + "Ġn orth", + "Ġl aw", + "b urg", + "k e", + "4 0", + "en g", + "Ġg ames", + "2 7", + "ĠB ro", + "ĠP eak", + "Ġn ear", + "ĠMov ies", + "ĠItal ian", + "Ġ X", + "ĠE m", + "ĠK itt", + "ĠL ondon", + "2 9", + "Ġ2 6", + "ĠE n", + "ĠA ir", + "Ġp o", + "ĠDe ath", + "st r", + "b s", + "at a", + "ĠH istory", + "Ġpl ace", + "Ġchar act", + "as k", + "Ġan y", + "Ġw e", + "Ġ2 8", + "Ġhe lp", + "w atch", + "2 8", + "ĠE x", + "ĠC up", + "Ġf ollow", + "c he", + "Ġw ater", + "Ġ201 1", + "i ation", + "2 6", + "at ure", + "is on", + "Ġas s", + "a f", + "Ġw ar", + "Ġ2 7", + "ĠSpace watch", + "Ġgovern ment", + "Ġ ent", + "Ġdirect ed", + "Ġb est", + "Ġin ter", + "ampions hip", + "ĠE ar", + "Ġt yp", + "in ess", + "r ing", + "Ġg r", + "Ġthe se", + "Ġan im", + "g ram", + "l ing", + "Ġ200 7", + "ul ar", + "al a", + "Ġcent ury", + "EA T", + "b y", + "u th", + "ar a", + "ain s", + "h am", + "ĠU S", + "ĠN EAT", + "c on", + "ide o", + "ĠAs s", + "Ġpopul ation", + "ĠS ome", + "an a", + "ed y", + "3 3", + "in t", + "Ġe ver", + "Ġse ason", + "od y", + "Ġm il", + "ram a", + "Ġ20 22", + "o on", + "Ġcount ry", + "Ġs ur", + "at or", + "Ġ &", + "ow s", + "ĠKing dom", + "Ġapp ear", + "ord s", + "am a", + "ro g", + "al t", + "Ġ201 3", + "Ġa round", + "Ġinclud ing", + "ut e", + "ĠW hen", + "Ġor ig", + "Ġl and", + "st er", + "Ġor gan", + "Ġ199 0", + "ĠM e", + "f l", + "9 0", + "Ġb oth", + "Ġse ver", + "oin t", + "T he", + "od e", + "a ul", + "Ġwebsit e", + "Ġ200 8", + "aj or", + "7 0", + "t t", + "an ish", + "Ġs chool", + "re m", + "Ġc ould", + "Ġin v", + "Ġ2 2", + "am b", + "q ue", + "r id", + "al es", + "ĠM c", + "ip p", + "d e", + "ĠB el", + "z er", + "on es", + "Ġ em", + "Ġs et", + "Ġd istrict", + "ĠG overn", + "il t", + "n er", + "ist an", + "ĠIn ternational", + "ur ch", + "us iness", + "ĠCanad ian", + "iz ed", + "emb ers", + "Ġim port", + "ĠWill iam", + "m s", + "ĠAustral ia", + "Ġbu ild", + "Ġ201 2", + "Ġ( )", + "Ġl ist", + "oug ht", + "ĠM ed", + "Ġpro fess", + "ag o", + "Ġe ach", + "Ġh ow", + "Ġr un", + "ĠAmer ica", + "a ur", + "Ġs l", + "ak ing", + "Ġh igh", + "um b", + "3 4", + "Ġus ually", + "n ey", + "Ġ right", + "Ġl ived", + "ĠAnd erson", + "ĠCom p", + "ĠCommun es", + "uct ion", + "o ard", + "ĠM es", + "Ġex amp", + "vel op", + "ĠPh il", + "Ġs im", + "ĠThe se", + "ort s", + "Ġ200 9", + "al k", + "ros s", + "9 9", + "Ġchild ren", + "ĠM on", + "3 7", + "Ġh um", + "i ence", + "6 5", + "ra ct", + "om in", + "u es", + "um mer", + "ĠM ich", + "ib le", + "ĠH ouse", + "w rit", + "Ġl ast", + "o le", + "Ġde velop", + "col span", + "ĠAust r", + "6 4", + "ad em", + "et er", + "Ġcre ated", + "Ġro ck", + "Ġcomp os", + "6 8", + "ĠO ne", + "6 7", + "ist or", + "Ġc aus", + "N E", + "\"| -", + "Ġser v", + "ĠInd ia", + "3 5", + "ĠMinist er", + "ĠL ou", + "Ġs k", + "Ġ ran", + "ĠSw ed", + "urr ent", + "le x", + "Ġc ounty", + "Ġ '", + "Ġbe gan", + "Ġad d", + "Ġsever al", + "Ġpro gram", + "\"|- ||", + "Ġw inn", + "Ġs ign", + "ĠS an", + "Ġcl ub", + "ĠP er", + "Ġs outh", + "Ġst at", + "ĠD em", + "Ġatt ack", + "en e", + "Ġwh ile", + "Ġo per", + "ĠSt ate", + "Ġcom mon", + "ĠS ec", + "in c", + "an e", + "Ġwrit er", + "3 8", + "Ġ198 0", + "ĠD av", + "Ġv ers", + "ap p", + "ĠG l", + "ed er", + "f or", + "f ul", + "ĠS up", + "Ġlar ge", + "c hes", + "Ġt erm", + "us h", + "ĠS y", + "it ary", + "Ġimport ant", + "Ġl ive", + "v en", + "ens us", + "s ide", + "ing ton", + "Ġoff icial", + "ĠHow ever", + "4 5", + "Ġsing le", + "ĠS ch", + "Ġ if", + "Ġp ol", + "Ġhe ad", + "ĠDeath s", + "Ġd rama", + "re w", + "ĠAustral ian", + "Ġdis c", + "ir ed", + "Ġac c", + "d ay", + "ĠC ities", + "6 9", + "Ġw ent", + "Ġ199 7", + "Ġf ilm", + "n a", + "l er", + "Ġin t", + "att le", + "Ġpopul ar", + "st e", + "a ught", + "as ter", + "Ġs uc", + "ĠA c", + "Ġm illion", + "ber g", + "t he", + "ĠMes a", + "Ġd ef", + "Ġmunicipal ity", + "ĠOff icial", + "Ġd iv", + "ĠRuss ian", + "Ġlangu age", + "ic o", + "z il", + "3 9", + "a ut", + "id d", + "Ġn ow", + "o ice", + "ro l", + "Ġs oc", + "ĠM iss", + "Ġle g", + "4 8", + "Ġexamp le", + "4 7", + "Ġm at", + "an ge", + "ce pt", + "Ġdes ign", + "Ġ199 6", + "om b", + ". \"", + "Ġp ower", + "Ġf in", + "ĠS er", + "Ġch ang", + "Ġcount ries", + "Ġm in", + "Ġear ly", + "Ġe p", + "Ġan n", + "ĠCh ampionship", + "Ġp resident", + "ĠBra zil", + "Ġd ist", + "omet imes", + "iv en", + "Ġh ome", + "ĠM ex", + "Ġg et", + "w est", + "Ġen g", + "ĠH ol", + "ĠL O", + "ĠQ u", + "Ġcomp et", + "Ġw est", + "ĠC o", + "Ġgroup s", + "ock ey", + "Ġinclud e", + "ic es", + "ĠP ark", + "ĠR ec", + "Ġo pen", + "Ġd ay", + ". .", + "iv il", + "Ġv ideo", + "Ġin c", + "op h", + "i ef", + "l in", + "Ġex p", + "Ġtran s", + "ber t", + "ĠR ober", + "Ġcap ital", + "p le", + "Ġspec ies", + "Ġme ans", + "ĠS m", + "f ord", + "NE OS", + "ĠLO NEOS", + "Ġ196 0", + "Ġwrit ten", + "ĠP olit", + "ri end", + "i j", + "ĠSp anish", + "con om", + "5 7", + "Ġle ft", + "g es", + "i en", + "ĠS ing", + "Ġw ay", + "id ed", + "ĠJ ames", + "ĠS chool", + "Ġex t", + "ĠT ur", + "ro d", + "ĠP aul", + "oc rat", + "Ġever y", + "ĠS en", + "ĠM or", + "g in", + "Ġh istory", + "Ġ199 5", + "a ces", + "Ġ ,", + "ĠD r", + "9 8", + "Ġm embers", + "ĠT ex", + "our t", + "ĠP ort", + "ĠCanad a", + "Ġp ass", + "ĠA ctors", + "i od", + "Ġt imes", + "ĠE ast", + "c o", + "ĠAng el", + "ĠF ootball", + "e al", + "l ed", + "i us", + "Ġ197 0", + "Ġd own", + "F A", + "r is", + "ĠS aint", + "le ge", + "u ff", + "Ġm uch", + "ĠG ree", + "ch n", + "ov er", + "Ġman ag", + "Ġmar ried", + "Ġact iv", + "ar n", + "Ġwh at", + "9 7", + "5 8", + "an ia", + "id es", + "m a", + "ra in", + "Ġpro t", + "ep end", + "oun g", + "ro te", + "ĠRep ublic", + "Ġfam ous", + "it ar", + "|||| ||||", + "it er", + "ist ics", + "Ġcan cer", + "Ġsh ort", + "Ġ199 4", + "Ġw omen", + "e an", + "i or", + "Ġv ar", + "os p", + "ĠM il", + "ĠR eg", + "id a", + "ĠS ov", + "Ġst ill", + "Ġcom edy", + "Ġm ajor", + "a el", + "ĠFl or", + "or p", + "ĠN ot", + "Ġcl ass", + "ĠT own", + "y le", + "u el", + "Ġre f", + "o e", + "ĠPro v", + "Ġbu ilt", + "ct ion", + "Ġf ather", + "h an", + "Ġ3 1", + "y a", + "ol ution", + "al th", + "Ġj oin", + "v iew", + "Ġc urrent", + "ill a", + "ĠGeor ge", + "ĠIt s", + "Ġre ce", + "k y", + "ĠN Y", + "Ġ1 00", + "g y", + "v es", + "6 6", + "Ġst ar", + "as tern", + "ĠLou is", + "Ġs old", + "as es", + "Ġ18 8", + "Ġ199 2", + "op e", + "Ġb re", + "ĠPr ime", + "Ġp ubl", + "ĠSov iet", + "9 5", + "ĠP re", + "he l", + "Ġt it", + "o f", + "Ġ199 3", + "Ġv ill", + "ric k", + "Ġdo es", + "ĠJ os", + "Ġsup port", + "ut ch", + "ĠJ ack", + "Ġlar gest", + "Ġcomp any", + "Ġto ok", + "Ġs on", + "Ġa ward", + "ĠAr t", + "Ġp ublic", + "ĠR ed", + "ĠCh ic", + "ĠC at", + "ans as", + "Ġb usiness", + "Ġg ood", + "ĠItal y", + "ĠT w", + "Ġw rote", + "ĠV al", + "ĠUn ion", + "ĠM ount", + "Ġmov ed", + "ĠEurope an", + "ĠV ir", + "ĠK ore", + "ĠM any", + "en a", + "Ġan other", + "Ġbec ome", + "ĠCom m", + "Ġl a", + "Ġfootball er", + "ĠR ich", + "ĠTex as", + "n ess", + "Ġth ird", + "ĠA g", + "ad io", + "is ed", + "ĠCh ina", + "Ġc ame", + "Ġsuc cess", + "Ġo b", + "oc iation", + "Ġhe ld", + "ĠChic ago", + "Ġdire ctor", + "Ġto p", + "Ġb ody", + "Ġst age", + "Ġ199 1", + "c y", + "ĠR o", + "enc y", + "w ork", + "3 6", + "Ġb ig", + "ad es", + "Ġn eed", + "ĠNY S", + "4 4", + "ot s", + "Ġev en", + "ĠDem ocrat", + "ric a", + "Ġpro ble", + "Ġcont in", + "ourn al", + "uth or", + "Ġalbum s", + "Ġg iven", + "Ġprofess ional", + "Ġp os", + "Ġw ant", + "ur ed", + "Ġg en", + "iv al", + "ag n", + "Ġb as", + "Ġme an", + "ad y", + "Ġph ys", + "ĠC ast", + "Ġbook s", + "ĠP ak", + "ĠP ri", + "Ġpolit ical", + "Ġcon d", + "ĠD on", + "ex t", + "ĠRober t", + "ĠM ont", + "ac ed", + "os ed", + "ra ft", + "ĠSp ort", + "ĠC ap", + "ĠL os", + "r ican", + "ĠD uring", + "Ġd eb", + "5 5", + "ĠM y", + "Ġj ust", + "ar m", + "Ġcom m", + "ĠS l", + "Ġs ix", + "ir l", + "ĠD istrict", + "Ġwork ed", + "ut er", + "Ġo cc", + "ĠY ou", + "k i", + "Ġn ov", + "ĠBl ack", + "Ġpolitician s", + "7 8", + "ĠM ost", + "ĠDav id", + "Ġc ensus", + "and er", + "ĠL ist", + "ĠB est", + "h i", + "ĠD ep", + "Ġdes c", + "ĠT ra", + "av ing", + "Ġc ult", + "iet y", + "Ġcharact er", + "il ity", + "t ain", + "Ġth ings", + "ĠCl ub", + "ul a", + "ĠJ ew", + "Ġkill ed", + "at ural", + "er a", + "ĠAf rican", + "Ġres p", + "ou thern", + "Ġp resent", + "3 1", + "ĠCh in", + "ĠM al", + "Ġep is", + "ĠN e", + "ĠH igh", + "Ġal ong", + "Ġm en", + "v ille", + "Ġr ul", + "Ġf ive", + "um p", + "ĠF rom", + "ut ed", + "ĠD utch", + "ĠSc ott", + "m en", + "Ġl ight", + "r u", + "Ġ| }", + "ĠB as", + "ra b", + "it ions", + "m ed", + "Ġw ord", + "o o", + "ĠW e", + "Ġf em", + "ĠR es", + "or ies", + "s c", + "ĠH en", + "ĠR oy", + "ĠW ash", + "Ġ198 9", + "Ġl iving", + "Ġs w", + "m e", + "ĠG ro", + "id s", + "ĠAs ia", + "ear ch", + "Ġper iod", + "Ġmil itary", + "il ar", + "Ġr ed", + "Ġro le", + "ĠB y", + "ĠAc adem", + "ĠS al", + "av y", + "ĠS ummer", + "9 4", + "ĠAf rica", + "ĠE mp", + "writ er", + "ĠB er", + "Ġ198 8", + "Ġfound ed", + "Ġplay s", + "an o", + "Ġ198 1", + "Ġt em", + "Ġvers ion", + "ĠD es", + "Ġser ved", + "ol ic", + "v al", + "itt le", + "3 2", + "Ġpubl ished", + "t y", + "ĠH al", + "Ġh istor", + "our s", + "Ġ ef", + "ĠM ad", + "Ġprov ince", + "e um", + "Ġrep resent", + "Ġus ing", + "ĠI ll", + "n ect", + "ĠQ ue", + "o ff", + "ant ic", + "Ġex pl", + "u x", + "ĠTh om", + "re g", + "ot a", + "Ġl ook", + "Ġwork s", + "ell s", + "ical ly", + "Ġm y", + "Ġor der", + "ounc il", + "' t", + "Ġf rog", + "ir c", + "ĠC ath", + "ĠM art", + "Ġfollow ing", + "ĠWash ington", + "l ine", + "Ġc amp", + "7 7", + "ĠGr and", + "ra el", + "Ġpart s", + "Ġf ew", + "Ġag ed", + "le ments", + "Ġret urn", + "Ġto g", + "ĠS am", + "Ġdis e", + "Ġ 0", + "Ġspec ial", + "Ġtog ether", + "Ġev ent", + "ĠAngel es", + "al ity", + "ĠChin ese", + "ĠB ut", + "Ġeng ine", + "ĠB u", + "ĠA lex", + "t al", + "ĠD iv", + "at ors", + "ĠPak istan", + "Ġa uthor", + "it zer", + "iz e", + "Ġ195 0", + "Ġ ide", + "ĠW rit", + "9 6", + "re am", + "k a", + "Ġhe art", + "Ġg reat", + "Ġcaus ed", + "ou l", + "ĠChar les", + "Ġf ood", + "h a", + "ĠChrist ian", + "iss ion", + "L O", + "od es", + "ĠM unicipal", + "ĠF irst", + "Ġbec om", + "ĠG reat", + "ĠE v", + "Ġs ometimes", + "iz ation", + "if ied", + "ĠH all", + "Ġelect ion", + "ounc ed", + "ĠMich ael", + "r ip", + "Ġe qu", + "or ed", + "ict ion", + "S t", + "Ġg ot", + "on a", + "op s", + "Ġ es", + "Ġr est", + "ĠN o", + "Ġse e", + "ĠD ay", + "Ġhum an", + "lect ion", + "Ġt er", + "Ġim p", + "Ġ198 6", + "Ġar r", + "Ġh ig", + "Ġt ake", + "Ġper form", + "Ġv oice", + "ĠVir gin", + "and s", + "c ed", + "Ġp ut", + "ĠG old", + "sp eople", + "ro v", + "i ol", + "5 4", + "ĠK ar", + "ĠP at", + "m inist", + "Ġth ought", + "ĠM ary", + "ĠPl ay", + "Ġg ener", + "g ian", + "ĠRich ard", + "Ġs ol", + "Ġbel ie", + "ĠOlymp ics", + "idd le", + "ĠB ill", + "ĠSp ain", + "Ġb i", + "i ers", + "ĠB en", + "ĠM ass", + "Ġf ight", + "B C", + "ĠL aw", + "ĠM et", + "Ġtr ad", + "ar ch", + "un t", + "Ġv ot", + "Ġ198 7", + "Ġse at", + "Ġgu itar", + "A S", + "ĠIs rael", + "Ġm other", + "ord ing", + "ĠI r", + "um ent", + "ĠCar ol", + "w ays", + "ĠG od", + "l o", + "Ġar ch", + "r ation", + "Ġ198 4", + "Ġle vel", + "Ġtyp e", + "ud e", + "Ġre pl", + "Ġ197 9", + "ĠS im", + "ar ed", + "ĠT er", + "8 8", + "Ġs ent", + "Ġv ol", + "Ġst ars", + "ĠS o", + "Ġf riend", + "Ġe conom", + "ĠT om", + "Ġin ternational", + "ĠPar is", + "in i", + "Ġn ext", + "Ġfe at", + "eren ce", + "ĠY ear", + "ĠAward s", + "Ġr iver", + "ĠU K", + "un n", + "ĠCh urch", + "ĠDemocrat ic", + "Ġg eneral", + "u ed", + "ĠF LO", + "at ives", + "5 9", + "Ġk ing", + "Ġl ine", + "ĠFran k", + "Ġm aking", + "Ġsc ient", + "ial ly", + "Ġ197 3", + "Ġm ark", + "Ġst ory", + "ĠTown s", + "ĠI f", + "Ġc rit", + "ĠTur k", + "Ġ198 5", + "m b", + "ĠAr g", + "ĠIs land", + "Ġd ata", + "Ġvill age", + "m ing", + "ĠL at", + "Ġy ou", + "ĠG eneral", + "et work", + "Ġ197 6", + "Ġ198 2", + "l iam", + "Ġorig in", + "Ġrel ig", + "ur a", + "ĠK n", + "per or", + "Ġf ind", + "Ġh ouse", + "ĠFlor ida", + "ar i", + "Ġan t", + "Ġ198 3", + "ĠS ant", + "ĠCol lege", + "Ġc hem", + "ĠAcadem y", + "form ation", + "ĠEmp ire", + "Ġ5 0", + "Ġv is", + "Ġlead er", + "I D", + "rop ical", + "Ġ197 7", + "u le", + "Ġf ail", + "i ber", + "Ġstr uct", + "ĠR ock", + "Ġj ournal", + "om a", + "Ġrece ived", + "ino is", + "Ġsim ilar", + "c ast", + "ĠAt l", + "ĠD an", + "ĠG o", + "st on", + "m ost", + "Ġloc ated", + "Ġn e", + "ĠH am", + "ĠK h", + "liam ent", + "ain ed", + "l ic", + "6 3", + "ĠT V", + "c her", + "ĠG ra", + ") :", + "ĠAustr ian", + "ĠIll inois", + "c ient", + "Ġ197 2", + "ĠB i", + "itzer land", + "ĠR ev", + "Ġart ist", + "s y", + "Ġproduc er", + "ert ain", + "Ġa ut", + "ig a", + "Ġnov el", + "ov ered", + "Ġd ays", + "Ġst ation", + "ĠD is", + "Ġed uc", + "Ġst op", + "ĠGree k", + "ĠMus ic", + "im ate", + "Ġp aint", + "ĠI m", + "ĠGovern or", + "Ġse en", + "ĠZ eal", + "ĠGeor g", + "Ġh ost", + "Ġall ow", + "Ġa v", + "a im", + "he st", + "Ġp rom", + "ad s", + "end ed", + "Ġstat istics", + "er ing", + "Ġ197 8", + "ĠP eter", + "Ġv al", + "ĠZeal and", + "Ġg l", + "Ġl ess", + "ĠSw itzerland", + "ar ian", + "Ġm ount", + "Ġe ast", + "Ġgro w", + "ĠSport speople", + "ĠAr ch", + "r or", + "Ġmod ern", + "Ġt urn", + "av es", + "y r", + "ĠT ran", + "ol f", + "ap e", + "ĠK ansas", + "Ġm akes", + "Ġcons id", + "0 8", + "ĠFran c", + "Ġdise ase", + "a ff", + "ir on", + "ĠD el", + "ĠOlymp ic", + "ĠU p", + "ĠAss ociation", + "Ġ193 0", + "ĠRuss ia", + "al f", + "200 6", + "4 9", + "im a", + "Ġ18 7", + "y d", + "cent ury", + "ar ia", + "ĠPolit icians", + "ĠSwed en", + "Ġis land", + "Ġst yle", + "ask et", + "200 5", + "Ġproduc ed", + "u z", + "Ġ197 4", + "aught er", + "ĠF ilm", + "Ġth ose", + "Ġ197 5", + "Ġbl ack", + "Ġl ed", + "est s", + "Ġev ents", + "Ġbe g", + "Ġind epend", + "ĠWrit ers", + "ian a", + "Ġelect ed", + "Ġteam s", + "ul ts", + "ĠT o", + "ĠProv ince", + "200 7", + "ĠCath olic", + "ĠM er", + "Ġcont rol", + "ud d", + "Ġbro ther", + "Ġpart y", + "ĠMex ico", + "Ġse x", + "un k", + "Ġst ates", + "Ġsh ould", + "Ġform ed", + "ition al", + "Ġ197 1", + "u ce", + "ĠG reen", + "th ough", + "ak en", + "re y", + "Ġ194 0", + "Ġd el", + "Ġcharact ers", + "in ter", + "4 6", + "it es", + "le ar", + "Ġg od", + "S S", + "in ed", + "l am", + "Ġs ound", + "uk e", + "Ġ #", + "gy pt", + "0 7", + "ur t", + "erg y", + "Ġwith out", + "Ġ :", + "Ġn omin", + "ĠEar th", + "I I", + "b oard", + "t ed", + "Ġmon ey", + "w ood", + "Ġph il", + "ĠA ct", + "ad a", + "Ġcon f", + "Ġtit le", + "Ġs ay", + "ĠVirgin ia", + "an i", + "Ġorig inal", + "Ġpl aces", + "f ield", + "Ġproble ms", + "o z", + "ap er", + "Ġd i", + "Ġs ide", + "ol s", + "ong ress", + "Ġann ounced", + "Ġ /", + "fect ure", + "if f", + "hem at", + "re et", + "ĠB ec", + "Ġdesc rib", + "ad u", + "ĠAr my", + "ĠWest ern", + "at ory", + "200 4", + "Ġw ife", + "Ġ ice", + "ent al", + "ight s", + "ĠE r", + "ubl ican", + "ĠRoy al", + "Ġd ue", + "s elf", + "ĠB C", + "ĠAn t", + "Ġa way", + "e ep", + "Ġex per", + "ill s", + "ĠHen ry", + "5 6", + "Ġshow s", + "Ġo pp", + "Ġl ot", + "ap pen", + "Ġjoin ed", + "ĠM ac", + "ĠE gypt", + "ic le", + "ĠThom as", + "Ġstr ong", + "Ġd est", + "Ġs il", + "Ġk ind", + "eb all", + "Ġmed al", + "Ġpo et", + "en se", + "A mer", + "Ġh ockey", + "ĠBrazil ian", + "Ġ el", + "asket ball", + "k n", + "ard s", + "ĠT or", + "ĠI ran", + "ur s", + "Ġst and", + "Ġto tal", + "ĠO l", + "ĠV ict", + "Ġ196 8", + "ist er", + "Ġc y", + "Ġmus ician", + "ol k", + "ĠArg ent", + "Ġm atch", + "ĠCent ral", + "ain e", + "ro y", + "ac hed", + "ĠO h", + "ĠW omen", + "ĠF in", + "Ġcompos er", + "ĠW il", + "ĠW ind", + "it a", + "ĠA cc", + "ĠC O", + "rid ge", + "x t", + "Ġd efe", + "g o", + "ep h", + "r ont", + "ste ad", + "Ġbuild ing", + "Ġc ities", + "Ġlangu ages", + "Ġs ite", + "as ons", + "Ġother s", + "Ġl ost", + "Ġchang ed", + "ers t", + "ĠB ook", + "ur b", + "ra w", + "200 3", + "Ġpl an", + "Ġloc al", + "yl v", + "ĠF I", + "ĠW ith", + "ĠV ill", + "Ġf ire", + "200 1", + "ord er", + "Ġdif f", + "Ġpro cess", + "Ġw rest", + "ĠPri ze", + "Ġm ust", + "Ġare as", + "urr ican", + "Ġp oss", + "em ents", + "Ġright s", + "ĠB ay", + "orp or", + "ĠC ouncil", + "Amer ican", + "ĠSt ud", + "Ġch ange", + "ĠD o", + "200 8", + "Ġstud io", + "ĠR ob", + "b e", + "re ed", + "Ġ196 9", + "ĠM in", + "Ġw ee", + "Ġd em", + "re land", + "Ġre al", + "c hed", + "end er", + "fl u", + "Ġre port", + "or ia", + "ĠRep ublican", + "8 7", + "ĠP op", + "Ġm ult", + "Ġwh ite", + "F F", + "Ġ196 4", + "Ġbe h", + "ĠSt ar", + "Ġl ate", + "ĠRec ords", + "n ot", + "ĠG ames", + "ĠP et", + "ad o", + "ĠCat al", + "Ġl ives", + "e le", + "ĠSwed ish", + "ward s", + "Ġ =", + "9 3", + "ether lands", + "Ġinclud es", + "Ġp at", + "Ġp oint", + "Ġh appen", + "ers ey", + "ĠD ev", + "om s", + "ĠI reland", + "Ġplay ing", + "ĠO k", + "ĠM ic", + "200 2", + "Ġ196 7", + "ĠC ont", + "el and", + "b or", + "Ġsoc ial", + "Ġh ard", + "ĠWh ite", + "Ġ $", + "Ġef fect", + "ĠP enn", + "Ġbro ad", + "Ġsc ience", + "ĠGro up", + "ĠA v", + "r d", + "ic les", + "rip t", + "Ġc ivil", + "ĠSc ot", + "al y", + "l ished", + "ar ies", + "Ġd et", + "Ġf un", + "Ġn on", + "ĠCarol ina", + "Ġy oung", + "Ġg ave", + "Ġinclud ed", + "ĠAustr ia", + "ĠSup er", + ". ,", + "ill er", + "ip s", + "Ġ )", + "Ġm ix", + "4 3", + "Ġre ad", + "ĠSec ret", + "aw a", + "Ġr adio", + "Ġmost ly", + "og n", + "ĠO s", + "200 0", + "an ies", + "Ġm ag", + "re l", + "i ro", + "Ġanim als", + "6 1", + "n ing", + "Ġh and", + "i qu", + "sh ire", + "Ġph ot", + "p art", + "ĠL ife", + "Ġ4 0", + "U n", + "Ġappear ed", + "Ġp ain", + "Ġg old", + "ak er", + "Ġf ield", + "eder al", + "am m", + "ĠM r", + "Ġte chn", + "ib r", + "Ġa ff", + "Ġf inal", + "c le", + "4 1", + "z a", + "Ġh old", + "all s", + "Ġra ce", + "Ġad v", + "Ġres ult", + "ĠC ro", + "b on", + "Ġn or", + "ant on", + "ĠM el", + "ĠH on", + "ĠS ur", + "Ġw ords", + "ĠN etherlands", + "ad or", + "ĠA rab", + "y m", + "ĠEar ly", + "p s", + "c raft", + "Ġs ett", + "ĠM ag", + "angu age", + "Ġ194 5", + "l i", + "ig er", + "ĠB o", + "9 2", + "ĠR h", + "Ġse a", + "ĠA pp", + "ect ed", + "Ġcol or", + "at o", + "il es", + "b r", + "Ġd aughter", + "ec ut", + "lect ed", + "ep ar", + "le ment", + "ĠC he", + "sp ort", + "Ġdeb ut", + "inn ing", + "200 9", + "9 1", + "Ġc or", + "199 9", + "Ġcomp uter", + "op her", + "a ud", + "os aur", + "Ġcom es", + "Ġc al", + "ĠL ab", + "he ast", + "it her", + "Ġstud y", + "ĠMar k", + "Ġco ach", + "Ġus es", + "uc ed", + "ĠC r", + "Ġt rib", + "Ġt aken", + "Ġ z", + "Ġwant ed", + "w w", + "id ing", + "6 2", + "Ġg ra", + "ĠCon f", + "ĠOh io", + "i que", + "Ġ196 6", + "is l", + "ĠF am", + "l or", + "ce an", + "Ġ( ;", + "ĠH a", + "5 3", + "ĠS ince", + "ĠV ol", + "Ġfem ale", + "st ate", + "Ġoff ice", + "ĠTh at", + "it ect", + "ub e", + "ĠB attle", + "ĠD en", + "in ation", + "ĠDiv ision", + "5 1", + "Ġre fer", + "ĠG ar", + "Ġ [", + "n y", + "it ch", + "Ġinv ol", + "i y", + "4 2", + "c a", + "ĠH ung", + "Ġ194 7", + "ell ow", + "e h", + "g en", + "Ġh aving", + "Ġbir th", + "at ic", + "Ġsc reen", + "ĠPort ug", + "Ġn atural", + "g r", + "w are", + "ĠJ er", + "ĠS ol", + "Ġwith in", + "le te", + "C h", + "ann el", + "ĠN ob", + "G B", + "ĠM od", + "ĠU k", + "Ġro und", + "Ġsp orts", + "k ed", + "s el", + "ĠLe g", + "ict ures", + "l a", + "ĠMus eum", + "Ġd am", + "ig an", + "ri al", + "ĠGe ography", + "Ġbet ter", + "Ġdevelop ed", + "Ġp ost", + "on ia", + "r ia", + "ĠGeorg ia", + "es se", + "Ġ196 5", + "Ġsur v", + "ĠJ ersey", + "Ġp ort", + "ĠJ r", + "ab it", + "ĠScott ish", + "Ġkn ow", + "ĠH el", + "ĠM os", + "Ġfootball ers", + "ies t", + "ĠPol ish", + "ĠJew ish", + "ĠH um", + "Ġ194 8", + "Ġs om", + "Ġh alf", + "Ġs ays", + "Ġv oc", + "ĠNor thern", + "Ġth ink", + "g ed", + "Ġpr ison", + "ĠB oy", + "Ġ196 3", + "ĠG en", + "Ġ195 6", + "he im", + "ĠS ong", + "ĠL o", + "Ġin formation", + "ĠP e", + "Ġcom e", + "ĠB ur", + "sy ch", + "V ID", + "Ġf ree", + "Ġs epar", + "Ġm ass", + "Ġle arn", + "ĠL ake", + "Ġestab lished", + "Ġdist rib", + "ĠG all", + "as y", + "Ġv iol", + "an ces", + "ĠL ove", + "ĠK ent", + "ĠLe e", + "u a", + "y o", + "ific ation", + "Ġconsid ered", + "b ers", + "urrican e", + "olog ical", + "Ġbecom es", + "Ġsp eak", + "Ġam ong", + "Ġstud ied", + "ĠS ett", + "ĠCO VID", + "Ġt our", + "ac y", + "Ġcon nect", + "ĠSt ev", + "ip le", + "Ġto o", + "ĠB or", + "osp ital", + "Ġad minist", + "ĠRep resent", + "ĠS un", + "Ġf ish", + "um n", + "Ġh on", + "Ġs outhern", + "ag on", + "Ġin flu", + "il s", + "ĠJ ul", + "our ces", + "ol a", + "et ts", + "Ġab le", + "ĠC amp", + "Ġl ab", + "u f", + "l im", + "Ġ20 23", + "ĠPre fecture", + "ro ll", + "ĠCent er", + "Ġcommun ity", + "it or", + "Ġ196 1", + "ĠC or", + "it z", + "ac her", + "l ess", + "ell ing", + "Ġs qu", + "Ġepis ode", + "ĠQue en", + "Ġd one", + "ĠEm peror", + "ou ri", + "ut es", + "Ġ196 2", + "ĠPr ince", + "ĠR os", + "t a", + "am ent", + "ĠAn n", + "Ġ194 6", + "ĠB ang", + "Ġind ust", + "et ic", + "em s", + "kn own", + "s ylv", + "ĠS k", + "ĠC ount", + "ĠC ivil", + "ond iss", + "ash i", + "Ġtra in", + "v ious", + "ĠIn ter", + "Ġcent er", + "ĠSm ith", + "l ike", + "Ġw oman", + "ur der", + "ĠP an", + "ĠIn stit", + "Ġsp ace", + "Ġab ove", + "us ed", + "ĠIr ish", + "\" )", + "Ġt re", + "j an", + "ĠC ourt", + "ĠCol umb", + "am s", + "ĠM at", + "s ong", + "Ġm ot", + "Ġl ow", + "ĠJ ust", + "amp ion", + "ap s", + "ĠIs lam", + "for man", + "ĠS illa", + "Ġmod el", + "ĠL in", + "m ar", + "Ġin str", + "ĠO bs", + "Ġmat hemat", + "Ġpos ition", + "r ie", + "Ġwrit ers", + "ĠMunicipal ities", + "ach us", + "it iz", + "Ġ194 2", + "Ġco ast", + "ĠGovern ment", + "sylv ania", + "ĠII I", + "ĠFI FA", + "g round", + "o or", + "ap t", + "Ġtra ck", + "Ġ194 9", + "Ġphil os", + "s ur", + "ak a", + "Ġc op", + "Ġn ever", + "Ġwork ing", + "Ġ195 7", + "Ġ19 20", + "az z", + "ĠC ongress", + "b and", + "Ġth ough", + "ĠB ern", + "199 8", + "ent ly", + "ĠE OS", + "Ġnor thern", + "Ġ194 1", + "Ġinc re", + "Ġt ro", + "Ġt reat", + "at ely", + "Ġcount ies", + "ĠMart in", + "Ġc irc", + "Ġ194 4", + "Ġis s", + "rit ory", + "el t", + "Ġwinn ers", + "ĠSe a", + "achus etts", + "Ġ193 6", + "ĠPar liament", + "Ġmus ical", + "ĠJ im", + "Ġ195 1", + "5 2", + "Ġob ject", + "ĠM a", + "pl ay", + "Ġint rod", + "Ġ et", + "ĠTe levision", + "ĠW W", + "ef f", + "Ġk eep", + "Ġal most", + "Ġf ar", + "d s", + "v ers", + "b ack", + "ĠScot land", + "ĠF red", + "Ġb r", + "Ġ193 9", + "ĠMass achusetts", + "Ġch art", + "Ġ ill", + "ĠThe ir", + "Ġoff ic", + "Ġpl ants", + "w h", + "ver age", + "et te", + "Ġf ull", + "re ad", + "ĠC ons", + "Ġtyp es", + "Ġh or", + "Ġsing ers", + "Ġserv ice", + "Ġ193 4", + "Ġhig hest", + "w a", + "Ġf a", + "ĠL and", + "Ġ8 8", + "ĠEd ward", + "Ġn ames", + "ish op", + "ĠHal eak", + "ĠW ales", + "ĠDis ney", + "Ġmus icians", + "H L", + "ĠJos eph", + "ĠSt an", + "Ġ195 8", + "ot o", + "ĠSett lements", + "Ġp res", + "Ġth r", + "Ġc ast", + "ĠBec ause", + "ĠB ob", + "ĠS at", + "p ec", + "ĠH ot", + "ell a", + "ater ial", + "Ġact ion", + "Ġde v", + "Ġc and", + "ĠS il", + "Ġret ired", + "Ġend ed", + "ĠPenn sylvania", + "c ul", + "ĠHaleak ala", + "Ġh it", + "ĠKore an", + "n ow", + "Ġwinn ing", + "p her", + "Ġb asketball", + "Ġcom b", + "Ġ193 8", + "Ġle ast", + "id er", + "b a", + "p e", + "ze ch", + "ĠE U", + "A R", + "ran ch", + "Ġk ey", + "ĠT ok", + "Ġsuccess ful", + "olog ist", + "ĠFor mer", + "ĠW rest", + "Ġ195 2", + "Ġin f", + "199 7", + "Ġopen ed", + "ĠU s", + "Ġen ergy", + "Ġ( \"", + "Ġ195 4", + "istric ts", + "m ark", + "Ġc he", + "Ġw in", + "ĠCar l", + "Ġar my", + "ress ion", + "Ġt en", + "est ival", + "ow a", + "ĠJ o", + "Ġpr im", + "Ġ192 9", + "Ġapp ro", + "u it", + "Ġ195 9", + "Ġmet al", + "ĠKore a", + "ĠB ir", + "ĠNot es", + "ĠS om", + "Ġcon stit", + "Ġpol ice", + "ĠSen ate", + "Ġ rom", + "Ġra il", + "Ġm id", + "Ġ193 3", + "a ign", + "Ġhim self", + "ĠR ail", + "ĠMiss ouri", + "b our", + "Ġmean ing", + "ĠJack son", + "or es", + "Ġfail ure", + "Ġm inist", + "Ġtem per", + "ĠB ig", + "T V", + "ul f", + "ĠS ar", + "or f", + "Ġcomp let", + "ĠAs ian", + "Ġjournal ist", + "n es", + "o ch", + "le g", + "Ġ194 3", + "ĠLat in", + "ĠT im", + "Ġfor ces", + "Ġcult ure", + "ov a", + "ĠC zech", + "Ġg ive", + "ĠD isc", + "ĠPhil ipp", + "ĠEn ter", + "ĠO b", + "Ġl ik", + "ĠF C", + "Ġtrans l", + "ĠMex ican", + "ir es", + "Ġpl ant", + "Ġ195 5", + "Ġmov e", + "Ġre qu", + "ow ers", + "Ġvar ious", + "Ġlaw y", + "ar io", + "ĠL ater", + "ecut ive", + "Ġ i", + "ian o", + "ĠIs lands", + "y e", + "ĠG al", + "v iron", + "g ar", + "iv ely", + "Ġt est", + "Ġc ause", + "ĠV er", + "Ġ8 0", + "yn ast", + "Ġle t", + "Ġ193 5", + "Ġmanag er", + "Ġ192 8", + "ir a", + "Ġg irl", + "ĠH ockey", + "Ġ193 1", + "Ġsy mb", + "Ġn etwork", + "ĠCatal ina", + "Ġj ob", + "it te", + "ĠS ir", + "Ġgro und", + "ĠE s", + "Ġa verage", + "Ġl iter", + "it ive", + "Ġac ross", + "Ġbuild ings", + "ĠAcc ording", + "Ġrecord ed", + "Ġl im", + "ĠTw o", + "Ġt ry", + "20 10", + "Ġb ad", + "ĠBro wn", + "Ġin stead", + "ĠO ver", + "Ġperform ed", + "Ġ193 7", + "ĠU r", + "Ġcon c", + "Ġst orm", + "L S", + "Ġt akes", + "ĠT ime", + "ĠJ ean", + "ĠU E", + "ĠEd uc", + "Ġarr ondiss", + "Ġ6 0", + "Ġprod uct", + "Ġcent ral", + "ĠM P", + "h ar", + "eth ing", + "ĠP ac", + "Ġcurrent ly", + "ĠH aw", + "Ġprot ect", + "i os", + "Ġtra vel", + "ĠF ox", + "g g", + "as c", + "Ġex ist", + "Ġmain ly", + "ĠO ld", + "199 6", + "Ġb ar", + "ab ly", + "ĠF ar", + "Ġme as", + "Ġm aterial", + "f ace", + "p ed", + "Ġcl aim", + "ĠC SS", + "Ġtown s", + "and a", + "ec k", + "ĠU nd", + "ste in", + "ĠC am", + "ĠM o", + "ĠK e", + "Ġro les", + "eth od", + "ĠSec ond", + "Ġcr ime", + "Ġdest roy", + "l anguage", + "Ġun ivers", + "ĠM inn", + "ĠL uc", + "Ġam ount", + "Ġ195 3", + "Ġp ark", + "ĠT od", + "Ġhe alth", + "Ġ193 2", + "j a", + "Ġs ug", + "199 5", + "Ġw ind", + "Ġmov ement", + "Ġrel ations", + "ab eth", + "Ġe ither", + "Ġpro per", + "az ine", + "ades h", + "Ġse ats", + "Ġ18 0", + "Ġc ertain", + "Ġn orm", + "st ron", + "Ġrec ogn", + "Ġw he", + "O R", + "Ġbl ood", + "ĠSc ient", + "t ime", + "Ġmon ths", + "Ġe at", + "rem e", + "ĠA p", + "ĠW ood", + "Ġch urch", + "Ġv iew", + "k o", + "Ġhelp ed", + "Ġse ven", + "Ġm ight", + "our ce", + "Ġwest ern", + "iv id", + "Ġcl ose", + "Ġ192 6", + "Ġb all", + "pec ially", + "Ġc reat", + "Ġchem ical", + "Ġstruct ures", + "Ġarch itect", + "y ear", + "ĠI owa", + "Ġal ways", + "isc o", + "ĠSt ep", + "Ġs it", + "Ġv ict", + "Ġbroad cast", + "Un ited", + "ĠD ire", + "ĠSp ring", + "air s", + "Ġc ase", + "Ġc at", + "8 9", + "N A", + "i h", + "ang er", + "end ing", + "Ġwrit ing", + "ent ion", + "ĠSt reet", + "Ġre ached", + "ĠSecret ary", + "Ġp ast", + "ĠCl ass", + "el d", + "Ġ ident", + "ad ium", + "Ġon ce", + "w an", + "Ġg e", + "Ġ192 7", + "Ġcomp anies", + "Ġto day", + "Ġprod uction", + "Ġ( ,", + "Ġcand id", + "ur ther", + "Ġde g", + "7 5", + "Ġe ight", + "ĠNob el", + "al i", + "ĠJ ud", + "end s", + "ĠH ill", + "oin ts", + "ĠBu ild", + "Ġfour th", + "ak i", + "ĠAn ton", + "ĠSoc ial", + "Ġm urder", + "ĠPol and", + "ĠS ub", + "ĠB ad", + "Ġnum bers", + "ĠMich igan", + "Ġsh own", + "Ġanim ated", + "Ġcompet ed", + "viron ment", + "Ġrepl aced", + "um ents", + "Ġp e", + "st ant", + "Ġt ree", + "ĠOr der", + "Ġc anton", + "Ġpain ter", + "uck y", + "Ġin h", + "Ġp ress", + "i as", + "emb ly", + "ĠO ut", + "ĠB efore", + "Ġpro p", + "Ġmon th", + "ĠA re", + "Ġide a", + "ĠSp orts", + "ĠH ind", + "us e", + "Ġgo al", + "Ġt alk", + "Ġcap t", + "ibr ary", + "Ġc ard", + "Ġdevelop ment", + "if t", + "ĠIn t", + "Ġsign ed", + "Ġre v", + "ĠUn ivers", + "ĠL u", + "Ġ7 0", + "ĠC areer", + "Ġin vent", + "Ġso ft", + "rem ier", + "Ġchang es", + "Ġc itiz", + "c el", + "Ġh ot", + "Ġcom ed", + "ĠGold en", + "Ġprogram s", + "Ġc ourt", + "ut y", + "Ġc ross", + "ĠK enn", + "iet n", + "um e", + "ed s", + "ĠW al", + "7 2", + "ĠBrit ain", + "ĠS erv", + "o is", + "ent h", + "ĠD ar", + "Ġre act", + "ĠSer ies", + "ĠSoc iety", + "Ġdec ided", + "ynast y", + "ĠAl b", + "at re", + "Ġde ad", + "Ġun iversity", + "Ġstud ents", + "ĠT enn", + "ĠInstit ute", + "ĠAn im", + "ĠMc C", + "Ġprom ot", + "Ġin j", + "ĠY oung", + "id ge", + "Ġan cient", + "Ġp ract", + "Ġo x", + "Ġd er", + "tern et", + "Ġn ight", + "Ġrele ase", + "ĠTe am", + "ĠM iddle", + "ĠB av", + "Ġpro ject", + "Ġ192 5", + "I n", + "ĠS and", + "id ence", + "ĠOr gan", + "Ġreturn ed", + "Ġ !", + "Ġar rest", + "ĠR ome", + "ok e", + "oc i", + "ĠAtl antic", + "s en", + "Ġp ay", + "Ġl ittle", + "ĠL y", + "or a", + "Ġes pecially", + "em p", + "Ġgo es", + "Ġb oy", + "ĠB usiness", + "es ota", + "ogra pher", + "Ġpre vious", + "Ġadd ed", + "Ġin side", + "Ġ9 0", + "Ġout side", + "ur d", + "Ġj ud", + "ed ia", + "om er", + "ip l", + "Ġear l", + "Ġgr adu", + "ĠThe n", + "at i", + "ĠF e", + "ĠRepresent atives", + "in ces", + "Ġf iction", + "Ġb attle", + "ĠMus lim", + "ĠL ittle", + "Ġindepend ent", + "Ġf ig", + "ĠB ab", + "st ra", + "ĠG ood", + "ĠAb out", + "ĠM ax", + "ĠV ietn", + "anc he", + "ask a", + "ul ation", + "ĠW ork", + "ĠMinn esota", + "ĠP ress", + "ate g", + "199 4", + "Ġper forman", + "Ġallow ed", + "ĠDep artment", + "Ġbas eball", + "8 6", + "Ġs en", + "Ġdr ug", + "Ġf all", + "Ġf re", + "Ġmunicipal ities", + "ĠE ver", + "Ġart ists", + "Ġlead ers", + "ĠE p", + "ĠS a", + "ĠM ah", + "Ġh om", + "Ġb ox", + "ĠG h", + "Ġsom ething", + "Ġen ough", + "Ġf if", + "m ond", + "Ġla un", + "eng th", + "Ġnomin ated", + "Ġcan not", + "r ich", + "Ġmount ain", + "Ġsouth west", + "Ġra p", + "al so", + "ĠP ers", + "un s", + "Ġme et", + "Ġf ront", + "Ġinter est", + "Ġrel ated", + "Ġfor ce", + "l ah", + "ĠT our", + "ĠAr men", + "ĠComp any", + "p eople", + "ĠWrest ling", + "ĠFranc isco", + "Ġres earch", + "ic ular", + "ri z", + "ad el", + "Ġposs ible", + "Ġb oard", + "8 5", + "ost on", + "Ġthe ory", + "is ing", + "ound s", + "w in", + "Ġsystem s", + "ĠW ay", + "Ġse qu", + "ĠJ ac", + "ĠB ul", + "Ġc ele", + "ĠR on", + "ĠF er", + "ĠD uke", + "h in", + "Ġa th", + "ĠColumb ia", + "ĠP ictures", + "ĠG ram", + "Ġpar ents", + "Ġband s", + "Ġair craft", + "ĠN az", + "ĠEnter tain", + "Ġfriend s", + "itte e", + "Ġ192 4", + "Ġactiv ist", + "ĠLouis iana", + "it ing", + "Ġgo ing", + "ĠV an", + "est ab", + "iz ations", + "ĠAlex ander", + "ag ed", + "Ġc oll", + "ĠF orm", + "Ġv ir", + "iv ate", + "C A", + "Ġorigin ally", + "Ġst ay", + "Ġear th", + "ĠT re", + "rat ive", + "ĠE lect", + "in son", + "c an", + "Ġra c", + "Ġwee k", + "ĠP LS", + "ĠAir port", + "Ġ19 22", + "ad d", + "hes s", + "ay er", + "ĠLe on", + "Ġm em", + "ĠSp ec", + "Ġt ropical", + "p ly", + "199 3", + "ĠWind ows", + "ay a", + "Ġlong er", + "ĠFootball ers", + "il ly", + "ar g", + "ĠA D", + "Ġres ults", + "ĠBi ography", + "in cess", + "is ions", + "j i", + "ien ces", + "Ġbre ak", + "ut s", + "7 4", + "Ġd ig", + "am i", + "Ġnorth west", + "r as", + "ing er", + "ĠF ame", + "Ġse asons", + "ĠE astern", + "ens ive", + "ĠCh ief", + "Ġgr and", + "im b", + "lah oma", + "Ġsh oot", + "m in", + "Ġr en", + "GB T", + "Ġcamp aign", + "ĠI d", + "ĠFam ily", + "7 9", + "us es", + "Ġre view", + "ail able", + "ĠH istor", + "y an", + "z o", + "ĠCh ild", + "Ġp ur", + "ĠP erson", + "h ood", + "ĠN ight", + "if y", + "Ġl ove", + "Ġfin ished", + "ĠOk lahoma", + "v a", + "Ġc rick", + "ĠM u", + "ĠSh ow", + "ĠJ eff", + "Ġc ell", + "Ġs ize", + "Ġ192 3", + "il a", + "um m", + "Ġold est", + "or ial", + "Ġm ale", + "olit an", + "ĠT am", + "ĠC ub", + "Ġdiv ided", + "ĠM ajor", + "0 5", + "c est", + "Ġepis odes", + "ĠD et", + "id ae", + "ro wn", + "/ /", + "w ar", + "or g", + "ra ine", + "Ġ19 00", + "ĠB oston", + "ĠL ong", + "7 6", + "Ġm iss", + "ou d", + "ĠChar l", + "Ġhow ever", + "ĠAr k", + "Ġd oc", + "ĠA k", + "val ue", + "s ort", + "ĠCh ile", + "p resent", + "ĠWar s", + "ĠM em", + "Ġh ospital", + "Ġle ague", + "Ġpro b", + "ĠN ord", + "l av", + "ĠPac ific", + "ut t", + "Ġmed ia", + "Ġm ach", + "ĠEl iz", + "ĠTok yo", + "ra ck", + "ĠM att", + "ĠWh ile", + "Ġb o", + "Ġe astern", + "Ġcon v", + "Ġgo als", + "ĠL GBT", + "Ġ er", + ": //", + "Ġcy cl", + "ĠWW E", + "Ġelect ric", + "Ġw id", + "ĠP ope", + "el le", + "Ġperson al", + "Ġch ampionship", + "Ġnew sp", + "enc ed", + "ĠO cean", + "ĠB al", + "Ġqu ick", + "l ers", + "ĠNew s", + "ain ing", + "ac hes", + "um i", + "Ġcontin ued", + "Ġeduc ation", + "ĠR ay", + "ĠBer lin", + "Ġl o", + "Ġc ases", + "Ġp sych", + "ĠMar ia", + "ĠL i", + "ĠJohn son", + "Ġm ethod", + "Ġsup er", + "ĠG ame", + ". )", + "el a", + "Ġac adem", + "ĠN ick", + "Ġst ations", + "Ġf ac", + "ĠC a", + "Ġ ;", + "Ġs uff", + "ĠSt e", + "Ġsmall er", + "Ġlaw s", + "0 6", + "ĠRo ad", + "Ġbelie ved", + "it o", + "writ ers", + "ur ity", + "Ġform s", + "ĠP as", + "Ġaward ed", + "ic ult", + "Ġlawy er", + "th ur", + "w ith", + "ĠT a", + "ut ure", + "Ġacc ident", + "Ġfeat ures", + "ch an", + "Ġdisc overed", + "Ġb order", + "Ġcrit ic", + "ĠJ un", + "ĠI v", + "Ġserv ices", + "ĠN ations", + "ĠG irl", + "Ġcl os", + "g u", + "ri age", + "Ġro ad", + "Ġn uc", + "ĠD ef", + "ĠP o", + "Ġd og", + "ĠC op", + "Ġl ower", + "ĠBel gian" + ] + } +} \ No newline at end of file diff --git a/models/components/layers/tokenizers.py b/models/components/tokenizers.py similarity index 81% rename from models/components/layers/tokenizers.py rename to models/components/tokenizers.py index 98ffe335..80edc084 100644 --- a/models/components/layers/tokenizers.py +++ b/models/components/tokenizers.py @@ -7,7 +7,7 @@ # local imports from trainers.data_utils import load_data -from models.components.layers import utils +from models.components import utils # text processing imports import re @@ -137,70 +137,84 @@ def decode_batch(self, token_lists): class BPETokenizer(TokenizerClass): - def __init__(self, vocab_size: int, dataset_name: str, simplify: bool = True): + def __init__( + self, + vocab_size: int, + dataset_name: str, + simplify: bool = True, + num_reserved_tokens: int = 0, + ): super().__init__() self.vocab_size = vocab_size self.dataset_name = dataset_name - self.simplify = simplify + self.simplify = simplify + self.reserved_tokens = [f"[Res{x}]" for x in range(num_reserved_tokens)] if not utils.check_if_tokenizer_exists( - tokenizer_type="bpe", - vocab_size=vocab_size, + tokenizer_type="bpe", + vocab_size=vocab_size, dataset_name=dataset_name, - simplify=simplify + simplify=simplify, + num_reserved_tokens=len(self.reserved_tokens) ): self._train_tokenizer() self._save() else: self._load() - + + # Update special token IDs after loading or training self.pad_token = self.tokenizer.token_to_id("[PAD]") self.eot_token = self.tokenizer.token_to_id("[EOT]") - self.unk_token = self.tokenizer.token_to_id("[UNK]") + self.unk_token = self.tokenizer.token_to_id("[UNK]") def _train_tokenizer(self, verbose: bool = True): raw_datasets = load_data(dataset_name=self.dataset_name) # Pattern string without compiling - non_english_char_pattern = r'[^a-zA-Z0-9\s' + re.escape(string.punctuation) + r']' + non_english_char_pattern = r"[^a-zA-Z0-9\s" + re.escape(string.punctuation) + r"]" - # Define special tokens - special_tokens = ["[PAD]", "[EOT]", "[UNK]"] + # Define special tokens, including reserved tokens + special_tokens = ["[PAD]", "[EOT]", "[UNK]"] + self.reserved_tokens + + # Define initial alphabet + initial_alphabet = list( + string.ascii_letters + string.digits + string.punctuation + " \n\t" + ) - # Define initial alphabet, include digits to ensure they are treated as individual tokens - initial_alphabet = list(string.ascii_letters + string.digits + string.punctuation + ' \n\t') - - # Initialize a new tokenizer self.tokenizer = Tokenizer(BPE(unk_token="[UNK]", dropout=0.1)) - + # Set the decoder to ByteLevel - self.tokenizer.decoder = decoders.ByteLevel() - + self.tokenizer.decoder = decoders.ByteLevel() + # Initialize the trainer trainer = BpeTrainer( vocab_size=self.vocab_size, min_frequency=5, special_tokens=special_tokens, initial_alphabet=initial_alphabet, - show_progress=verbose + show_progress=verbose, ) if self.simplify: # Set the normalizer to remove non-English characters - self.tokenizer.normalizer = NormalizerSequence([ - NFD(), # Decompose unicode characters - StripAccents(), # Remove accents - Replace(non_english_char_pattern, ""), # Use pattern string directly - ]) + self.tokenizer.normalizer = NormalizerSequence( + [ + NFD(), # Decompose unicode characters + StripAccents(), # Remove accents + Replace(non_english_char_pattern, ""), # Use pattern string directly + ] + ) # Custom pre-tokenizer to split numbers into individual digits - self.tokenizer.pre_tokenizer = Sequence([ - WhitespaceSplit(), # Split on whitespace - # Split digits and isolate them - Split(r'\d', behavior='isolated'), # Each digit is a separate token - ByteLevel() # Byte-level encoding - ]) + self.tokenizer.pre_tokenizer = Sequence( + [ + WhitespaceSplit(), # Split on whitespace + # Split digits and isolate them + Split(r"\d", behavior="isolated"), # Each digit is a separate token + ByteLevel(), # Byte-level encoding + ] + ) # Prepare the training data with filtering def batch_iterator(): @@ -249,7 +263,8 @@ def _save(self): tokenizer_type="bpe", vocab_size=self.vocab_size, dataset_name=self.dataset_name, - simplify=self.simplify + simplify=self.simplify, + num_reserved_tokens=len(self.reserved_tokens), ) self.tokenizer.save(str(tokenizer_path)) @@ -258,7 +273,8 @@ def _load(self): tokenizer_type="bpe", vocab_size=self.vocab_size, dataset_name=self.dataset_name, - simplify=self.simplify + simplify=self.simplify, + num_reserved_tokens=len(self.reserved_tokens), ) self.tokenizer = Tokenizer.from_file(str(tokenizer_path)) self.vocab = self.tokenizer.get_vocab() @@ -269,6 +285,9 @@ def _load(self): + + + TOKENIZER_DICT = { # a number of standard tiktoken tokenizers "o200k_base": lambda vocab_size, dataset_name, simplify: TiktokenTokenizer(tokenizer_name="o200k_base"), @@ -282,8 +301,8 @@ def _load(self): "mistral_32k": lambda vocab_size, dataset_name, simplify: HuggingfaceTokenizer(tokenizer_path="mistralai/Mistral-7B-v0.1"), # a custom BPE tokenizer (using the HF implementation) - "bpe": lambda vocab_size, dataset_name, simplify: BPETokenizer( - vocab_size=vocab_size, dataset_name=dataset_name, simplify=simplify + "bpe": lambda vocab_size, dataset_name, simplify, num_reserved_tokens: BPETokenizer( + vocab_size=vocab_size, dataset_name=dataset_name, simplify=simplify, num_reserved_tokens=num_reserved_tokens ), } @@ -293,6 +312,7 @@ def build_tokenizer( vocab_size, dataset_name, simplify, + num_reserved_tokens ) -> TokenizerClass: """ Build the tokenizer. @@ -300,5 +320,5 @@ def build_tokenizer( assert tokenizer_type in TOKENIZER_DICT, \ f"Tokenizer type {tokenizer_type} not found. The available tokenizers are: {list(TOKENIZER_DICT.keys())}" return TOKENIZER_DICT[tokenizer_type]( - vocab_size=vocab_size, dataset_name=dataset_name, simplify=simplify + vocab_size=vocab_size, dataset_name=dataset_name, simplify=simplify, num_reserved_tokens=num_reserved_tokens ) diff --git a/models/components/layers/transformer_blocks.py b/models/components/transformer_blocks.py similarity index 89% rename from models/components/layers/transformer_blocks.py rename to models/components/transformer_blocks.py index aa0f2c63..e5486778 100644 --- a/models/components/layers/transformer_blocks.py +++ b/models/components/transformer_blocks.py @@ -5,9 +5,9 @@ import torch -from models.components.layers.attention import build_attention -from models.components.layers.feedforward import build_ffn -from models.components.layers.normalization import build_normalization +from models.components.attention import build_attention +from models.components.feedforward import build_ffn +from models.components.normalization import build_normalization class GenericTransformerBlock(torch.nn.Module): diff --git a/models/components/layers/utils.py b/models/components/utils.py similarity index 82% rename from models/components/layers/utils.py rename to models/components/utils.py index e20851db..a2cf97a6 100644 --- a/models/components/layers/utils.py +++ b/models/components/utils.py @@ -6,7 +6,7 @@ ### Tokenizer Utils -def get_tokenizer_path(tokenizer_type, vocab_size, dataset_name, simplify): +def get_tokenizer_path(tokenizer_type, vocab_size, dataset_name, simplify, num_reserved_tokens): """ Get the path to the tokenizer. """ @@ -16,7 +16,7 @@ def get_tokenizer_path(tokenizer_type, vocab_size, dataset_name, simplify): ## TODO: find better solution tokenizer_folder = os.path.join( - project_root, "components", "layers", "tokenizer_models" + project_root, "models", "components", "tokenizer_models" ) # create folder if not exists @@ -24,13 +24,13 @@ def get_tokenizer_path(tokenizer_type, vocab_size, dataset_name, simplify): os.mkdir(tokenizer_folder) tokenizer_full_path = os.path.join( - tokenizer_folder, f"{tokenizer_type}_{dataset_name}_{vocab_size}.model" + tokenizer_folder, f"{tokenizer_type}_{dataset_name}_{vocab_size}_{num_reserved_tokens}.model" ) if simplify: tokenizer_full_path = tokenizer_full_path.replace(".model", "_simplified.model") return tokenizer_folder, tokenizer_full_path -def check_if_tokenizer_exists(tokenizer_type, vocab_size, dataset_name, simplify): +def check_if_tokenizer_exists(tokenizer_type, vocab_size, dataset_name, simplify, num_reserved_tokens): """ Check if the tokenizer already exists. """ @@ -38,7 +38,8 @@ def check_if_tokenizer_exists(tokenizer_type, vocab_size, dataset_name, simplify tokenizer_type=tokenizer_type, vocab_size=vocab_size, dataset_name=dataset_name, - simplify=simplify + simplify=simplify, + num_reserved_tokens=num_reserved_tokens, ) return os.path.exists(tokenizer_path) diff --git a/models/core_models.py b/models/core_models.py index 8f56f803..f786c5b2 100644 --- a/models/core_models.py +++ b/models/core_models.py @@ -4,7 +4,7 @@ import torch -from models.components.layers.transformer_blocks import GenericTransformerBlock +from models.components.transformer_blocks import GenericTransformerBlock class GenericTransformer(torch.nn.Module): diff --git a/models/embedding_models.py b/models/embedding_models.py index 4d082e5a..880dbae3 100644 --- a/models/embedding_models.py +++ b/models/embedding_models.py @@ -8,7 +8,7 @@ import numpy as np from models.components.positional_encoding import build_positional_encodings -from models.components.layers.tokenizers import build_tokenizer +from models.components.tokenizers import build_tokenizer class EmbedderInterface(torch.nn.Module): @@ -104,6 +104,7 @@ def __init__(self, model_cfg): vocab_size=model_cfg.get("vocab_size", None), dataset_name=model_cfg.get("tokenizer_dataset_name", None), simplify=model_cfg.get("tokenizer_simplify", True), # Default True + num_reserved_tokens=model_cfg.get("tokenizer_num_reserved_tokens", 0), # By Default, no spaces are reserved ) # build the token embeddings diff --git a/models/experimental/byte_level/embedding_model.py b/models/experimental/byte_level/embedding_model.py index d2afdc9b..f0c12cc2 100644 --- a/models/experimental/byte_level/embedding_model.py +++ b/models/experimental/byte_level/embedding_model.py @@ -7,7 +7,7 @@ import torch from models.components.positional_encoding import LearnedPosEncoding -from models.components.layers.tokenizers import build_tokenizer +from models.components.tokenizers import build_tokenizer from models.embedding_models import EmbedderInterface from models.experimental.byte_level.layers import ByteLevelTransformerBlock diff --git a/models/experimental/byte_level/layers.py b/models/experimental/byte_level/layers.py index bc2e700b..1948f444 100644 --- a/models/experimental/byte_level/layers.py +++ b/models/experimental/byte_level/layers.py @@ -4,9 +4,9 @@ import torch -from models.components.layers.activations import build_activation -from models.components.layers.attention import Attention -from models.components.layers.normalization import build_normalization +from models.components.activations import build_activation +from models.components.attention import Attention +from models.components.normalization import build_normalization class ProjectingFFN(torch.nn.Module): diff --git a/models/experimental/hugging_face.py b/models/experimental/hugging_face.py index 34a8e8d9..538639bc 100644 --- a/models/experimental/hugging_face.py +++ b/models/experimental/hugging_face.py @@ -4,7 +4,7 @@ import torch from transformers import AutoModelForCausalLM, AutoTokenizer -from models.components.layers.tokenizers import TokenizerClass +from models.components.tokenizers import TokenizerClass from models.embedding_models import EmbedderInterface from models.model_shell import ModelShell from trainers.base_trainer import BaseTrainer diff --git a/models/experimental/moe_weight_sharing.py b/models/experimental/moe_weight_sharing.py index b971e177..bc53c648 100644 --- a/models/experimental/moe_weight_sharing.py +++ b/models/experimental/moe_weight_sharing.py @@ -5,11 +5,11 @@ import math from models.core_models import GenericTransformer -from models.components.layers.attention import build_attention -from models.components.layers.feedforward import build_ffn -from models.components.layers.normalization import build_normalization +from models.components.attention import build_attention +from models.components.feedforward import build_ffn +from models.components.normalization import build_normalization -from models.components.layers.activations import build_activation +from models.components.activations import build_activation class MoELoRA(torch.nn.Module): diff --git a/models/experimental/next_thought/core_models.py b/models/experimental/next_thought/core_models.py deleted file mode 100644 index de760aa6..00000000 --- a/models/experimental/next_thought/core_models.py +++ /dev/null @@ -1,76 +0,0 @@ -""" -The core next-thought model. -""" -import torch - - - -class BaselineCoreModel(torch.nn.Module): - """ - An extremely simplistic core model for - next thought prediction. - """ - def __init__(self, model_cfg): - super().__init__() - - self.model = torch.nn.Sequential( - torch.nn.Linear( - in_features=model_cfg["latent_dim"], - out_features=model_cfg["latent_dim"], - ), - torch.nn.ReLU(), - torch.nn.Linear( - in_features=model_cfg["latent_dim"], - out_features=model_cfg["latent_dim"], - ), - ) - - def forward(self, x): - """ - Pass an input through the model - Args: - x: torch.tensor(B, S, H) - Returns: - x: torch.tensor(B, S, H) - """ - return self.model(x) - - -class Conv1dCoreModel(torch.nn.Module): - """ - A core model for next thought prediction using Conv1d layers. - """ - def __init__(self, model_cfg): - super().__init__() - - # 4800 - self.conv1 = torch.nn.Linear(30, 30) - self.conv2 = torch.nn.Linear(300, 300) - self.conv3 = torch.nn.Linear(3, 3) - - - - - def forward(self, x): - """ - Pass an input through the model - Args: - x: torch.tensor(B, S, H) - Returns: - x: torch.tensor(B, S, H) - """ - # B, 4800 -> B, 4800/30, 30 - x = x.view(x.size(0), 160, 30) - x = self.conv1(x) - x = x.view(x.size(0), 4800) - - # B, 4800 -> B, 4800/300, 300 - x = x.view(x.size(0), 16, 300) - x = self.conv2(x) - x = x.view(x.size(0), 4800) - - # B, 4800 -> B, 4800/3, 3 - x = x.view(x.size(0), 1600, 3) - x = self.conv3(x) - x = x.view(x.size(0), 4800) - return x \ No newline at end of file diff --git a/models/experimental/next_thought/embedding_models.py b/models/experimental/next_thought/embedding_models.py deleted file mode 100644 index c05a3c1a..00000000 --- a/models/experimental/next_thought/embedding_models.py +++ /dev/null @@ -1,87 +0,0 @@ -""" -The Embedding model for a VAE style sequence to sequence model. -""" -import torch - -from models.embedding_models import GenericEmbedder -from models.components.layers.transformer_blocks import GenericTransformerBlock - -from models.components.positional_encoding import build_positional_encodings -from models.components.layers.tokenizers import build_tokenizer - - -# import local components -from models.experimental.next_thought.layers import AttentionPoolingRemoval - - - -class HierarchicalEncoder(GenericEmbedder): - """ - Accepts an arbitrary length sequence as input, - uses the QK^T matrix to, at every layer, - pick the top n-percent of nodes to pool into - a single token (the one paying most attention - to the other should be pooled into the other token). - """ - def __init__(self, model_cfg): - super().__init__(model_cfg=model_cfg) - # build the tokenizer - self.tokenizer = build_tokenizer( - tokenizer_type=model_cfg["embedder"]["tokenizer_type"], - vocab_size=model_cfg["vocab_size"], - dataset_name=model_cfg["embedder"]["dataset_name"], - ) - - # build the token embeddings - self.token_embedder = torch.nn.Embedding( - num_embeddings=model_cfg["vocab_size"], - embedding_dim=model_cfg["embedder"]["pooling_dims"][0], - ) - - # build the positional encodings - self.positional_encodings = build_positional_encodings(model_cfg=model_cfg) - - - self.standard_transformer = torch.nn.ModuleList( - [ - GenericTransformerBlock( - hidden_dim=model_cfg["embedder"]["pooling_dims"][0], - context_window=model_cfg["embedder"]["context_window"], - use_rope=False, - ffn_cfg=model_cfg["embedder"]["standard_ffn_block"], - attn_cfg=model_cfg["embedder"]["standard_attn_block"], - ) - ] - ) - - self.pooling_transformer = torch.nn.ModuleList( - [ - - AttentionPoolingRemoval( - hidden_size_in=model_cfg["embedder"]["pooling_dims"][i], - hidden_size_out=model_cfg["embedder"]["pooling_dims"][i+1], - num_attention_heads=12, - pct_pool_per_layer=model_cfg["embedder"]["pct_pool_per_layer"][i], - ) for i in range(len(model_cfg["embedder"]["pooling_dims"]) - 1) - ] - ) - - - def forward(self, token_ids): - # embed the input - x = self.embedding(token_ids) - - # apply positional encoding - x = x + self.positional_encoding(x) - - - # first pass through normal attention blocks - for layer in self.standard: - x = layer(x) - - # then pass through pooling attention blocks - for layer in self.pooling_attention: - x = layer(x) - # mean pool final representation - x = x.mean(dim=-2) - return x \ No newline at end of file diff --git a/models/experimental/next_thought/layers.py b/models/experimental/next_thought/layers.py deleted file mode 100644 index 9dd84fa2..00000000 --- a/models/experimental/next_thought/layers.py +++ /dev/null @@ -1,203 +0,0 @@ -""" -Layers that are specific to the next thought models -""" -import torch -import math - - -class AttentionPoolingRemoval(torch.nn.Module): - """ - Transformer block that removes the top-k - least paid-attention to tokens. - """ - def __init__(self, hidden_size_in, hidden_size_out, num_attention_heads, pct_pool_per_layer): - super().__init__() - self.pct_pool = pct_pool_per_layer - self.hidden_size_in = hidden_size_in - - self.attention = CustomMultiHeadAttention(hidden_size_in, num_attention_heads) - - self.ffn = torch.nn.Sequential( - torch.nn.Linear(hidden_size_in, 4 * hidden_size_in), - torch.nn.GELU(), - torch.nn.Linear(4 * hidden_size_in, hidden_size_out), - torch.nn.Dropout(), - ) - - self.norm1 = torch.nn.LayerNorm(hidden_size_in) - self.norm2 = torch.nn.LayerNorm(hidden_size_out) - - def forward(self, x): - # Apply multi-head attention - attn_output, attn_output_weights = self.attention(x, x, x) - - # average the attention weights across heads - attn_output_weights = attn_output_weights.mean(dim=1) - - # find how much each token was attended to on average - attn_output_weights = attn_output_weights.mean(dim=-2) - - - # Normalize and add residual connection - x = self.norm1(x + attn_output) - - # Calculate the top-k indices to keep based on the attention scores - seq_len = x.shape[1] - top_k = int(seq_len * (1 - self.pct_pool)) # Keeping the top 60% - - # Get the indices for the top-k tokens based on the highest attention scores - _, top_k_indices = torch.topk(attn_output_weights, top_k, dim=-1) - - # Reshape idx tensor to match weights - idx_expanded = top_k_indices.unsqueeze(-1).expand(-1, -1, x.size(-1)) - - # Use torch.gather to gather values from weights tensor based on indices - reduced_x = torch.gather(x, 1, idx_expanded) - - # Apply feedforward network and normalization - reduced_x = self.norm2(self.ffn(reduced_x)) - - return reduced_x - -# Scaled Dot-Product Attention -def scaled_dot_product_attention(query, key, value, mask=None): - """ - Compute scaled dot-product attention. - """ - # Q * K^T - scores = torch.matmul(query, key.transpose(-2, -1)) # (batch_size, num_heads, seq_len, seq_len) - - # Scale by the square root of the key dimension - d_k = query.size(-1) - scores = scores / math.sqrt(d_k) - - # Apply mask if provided (optional, for example, in Transformer Decoders) - #if mask is not None: - # scores = scores.masked_fill(mask == 0, -1e9) - - # Softmax to get attention weights - attention_weights = torch.nn.functional.softmax(scores, dim=-1) - - # Multiply by the value to get the final attention output - output = torch.matmul(attention_weights, value) # (batch_size, num_heads, seq_len, depth_per_head) - #input(attention_weights.size()) - - return output, attention_weights - - -class CustomMultiHeadAttention(torch.nn.Module): - """ - Custom implementation of multi-head attention from scratch. - """ - def __init__(self, hidden_size, num_heads): - super().__init__() - assert hidden_size % num_heads == 0, "Hidden size must be evenly divisible by number of heads." - - self.hidden_size = hidden_size - self.num_heads = num_heads - self.depth_per_head = hidden_size // num_heads - - # Linear layers for projecting into multiple heads - self.query_proj = torch.nn.Linear(hidden_size, hidden_size) - self.key_proj = torch.nn.Linear(hidden_size, hidden_size) - self.value_proj = torch.nn.Linear(hidden_size, hidden_size) - - # Final linear layer for output projection - self.out_proj = torch.nn.Linear(hidden_size, hidden_size) - - def split_into_heads(self, x): - """ - Split into multiple heads, reshaping accordingly. - """ - batch_size = x.size(0) - seq_len = x.size(1) - - # Reshape and split into heads - x = x.view(batch_size, seq_len, self.num_heads, self.depth_per_head) - x = x.permute(0, 2, 1, 3) # (batch_size, num_heads, seq_len, depth_per_head) - - return x - - def forward(self, q, k, v): - """ - x: (batch_size, seq_len, hidden_size) - """ - # Project into queries, keys, and values - query = self.split_into_heads(self.query_proj(q)) - key = self.split_into_heads(self.key_proj(k)) - value = self.split_into_heads(self.value_proj(v)) - - # Apply scaled dot-product attention - attention_output, attention_weights = scaled_dot_product_attention(query, key, value) - - # Concatenate the heads - attention_output = attention_output.permute(0, 2, 1, 3).reshape(q.size(0), q.size(1), self.hidden_size) - - # Final projection to maintain consistent output - output = self.out_proj(attention_output) - - return output, attention_weights - - - -class LatentSpaceDecoder(torch.nn.Module): - """ - Uses a fixed number of heads to decode - the latent space into the same hidden dim - as the sequence - """ - def __init__(self, hidden_dim, decoding_length, latent_dim): - super().__init__() - self.hidden_dim = hidden_dim - self.decoding_length = decoding_length - self.latent_dim = latent_dim - - self.decoding_layer = torch.nn.Linear( - in_features=latent_dim, - out_features=hidden_dim*decoding_length - ) - - def forward(self, x): - """ - x: (batch_size, latent_dim) - """ - # TODO, this only needs to be computed once - batch_size = x.size(0) - - # Project the latent space into the hidden dimension - x = self.decoding_layer(x) - x = x.view(batch_size, self.decoding_length, self.hidden_dim) - - return x - -class LatentSpaceQuery(torch.nn.Module): - """ - Lets the decoder query the latent space - """ - def __init__(self, hidden_dim, latent_decoded_length, latent_dim): - super().__init__() - self.hidden_dim = hidden_dim - self.latent_decoded_length = latent_decoded_length - self.latent_dim = latent_dim - - # k,v come from latent space - # q comes from the sequence - self.attention = CustomMultiHeadAttention( - hidden_size=hidden_dim, - num_heads=12 - ) - - def forward(self, x, latent_space): - """ - x: (batch_size, seq_len, hidden_dim) - latent_space: (batch_size, latent_decoded_length, hidden_dim) - """ - - # Query the latent space - x, _ = self.attention( - q=x, - k=latent_space, - v=latent_space - ) - - return x \ No newline at end of file diff --git a/models/experimental/next_thought/model_heads.py b/models/experimental/next_thought/model_heads.py deleted file mode 100644 index 00238115..00000000 --- a/models/experimental/next_thought/model_heads.py +++ /dev/null @@ -1,80 +0,0 @@ -""" -The latent to variable length sequence decoder. -""" -import torch - -from models.experimental.next_thought.layers import ( - LatentSpaceDecoder, - LatentSpaceQuery -) - -from models.embedding_models import GenericEmbedder -from models.components.layers.transformer_blocks import GenericTransformerBlock -from models.components.positional_encoding import build_positional_encodings - - - -class VariableLengthLatentDecoder(torch.nn.Module): - """ - Given a latent space representation, decode it into a sequence. - This should be similar to how VLMs work (i.e. have an encoder - for the latent space and query it at each step to generate the - next token). - """ - def __init__(self, model_cfg, embedding_model): - super().__init__() - self.model_cfg = model_cfg - self.latent_decoder = torch.nn.Linear( - in_features=model_cfg["latent_dim"], - out_features=model_cfg["embedding_dim"] * model_cfg["lm_head"]["latent_decoded_into"], - bias=False - ) - - self.token_embedder = embedding_model.token_embedder - self.positional_encodings = embedding_model.positional_encodings - - self.autoregressive_transformer = torch.nn.ModuleList( - [ - GenericTransformerBlock( - hidden_dim=model_cfg["embedding_dim"], - context_window=model_cfg["context_window"], - use_rope=False, - ffn_cfg=model_cfg["lm_head"]["standard_ffn_block"], - attn_cfg=model_cfg["lm_head"]["standard_attn_block"], - ) for _ in range(model_cfg["lm_head"]["num_layers"]) - ] - ) - - self.lm_head = torch.nn.Linear( - in_features=model_cfg["embedding_dim"], - out_features=model_cfg["vocab_size"], - bias=False - ) - - - def forward(self, x, x_raw=None): - """ - forward - """ - # decode latent into tokens - x = self.latent_decoder(x) - # reshape - x = x.view(x.size(0), self.model_cfg["lm_head"]["latent_decoded_into"], self.model_cfg["embedding_dim"]) - - # encode the target tokens with the embedder (w/o gradient) - y = self.token_embedder(x_raw) - - # add positional encoding - y = y + self.positional_encodings(y) - - # concat with the latent tokens - x = torch.cat([x, y], dim=1) - - # pass through autoregressive transformer blocks - for layer in self.autoregressive_transformer: - x = layer(x) - - # pass through lm head - x = self.lm_head(x[:, self.model_cfg["lm_head"]["latent_decoded_into"]:]) - - return x, None \ No newline at end of file diff --git a/models/model_heads.py b/models/model_heads.py index f5e94221..98e5eeef 100644 --- a/models/model_heads.py +++ b/models/model_heads.py @@ -4,7 +4,7 @@ import torch -from models.components.layers.normalization import build_normalization +from models.components.normalization import build_normalization class AutoregressiveLMHead(torch.nn.Module): diff --git a/models/model_shell.py b/models/model_shell.py index 403fa63a..3200123a 100644 --- a/models/model_shell.py +++ b/models/model_shell.py @@ -78,7 +78,7 @@ def inference(self, model_input): if isinstance(model_input, str): # use inference function of the embedding model model_input = self.embedding_model.tokenize_input(model_input, truncate=True, add_eot=False) - x = torch.tensor(model_input, device=self.device, dtype=torch.long).unsqueeze(0) + x = torch.tensor(model_input, device=self.device, dtype=torch.long).unsqueeze(0).clone().detach() x = self.embedding_model(model_input) # pass the embeddings through the core model diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 5cc6aefa..231ecf36 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -6,7 +6,7 @@ from contextlib import nullcontext # local imports -from trainers import utils, data_utils +from trainers import utils from trainers.evaluator import ( train_eval_mcq, train_eval_text_modeling, @@ -174,6 +174,7 @@ def estimate_performance(self, iter_num, eval_iters=None): * self.gradient_accumulation_steps * iter_num * self.cfg.model["context_window"] + * torch.cuda.device_count() if torch.cuda.is_available() else 1 # To account for the divided accumulation steps ), } @@ -390,7 +391,13 @@ def run_training_loop(self): ## print and log the result only on the first GPU after aggregation print(f"All GPU(s): step {iter_num}: loss {lossf:.4f}, lr {lr:.1e}, dt {end_time-start_time:.1f}s") if (self.gpu_id == 0 or self.gpu_id is None) and self.use_wandb: - token_num = self.batch_size*self.gradient_accumulation_steps*iter_num*self.cfg["model"]["context_window"] + token_num = ( + self.batch_size + *self.gradient_accumulation_steps + *iter_num + *self.cfg["model"]["context_window"] + * torch.cuda.device_count() if torch.cuda.is_available() else 1 # To account for the divided accumulation steps + ) wandb.log( { "iter": iter_num, diff --git a/trainers/data_utils.py b/trainers/data_utils.py index a30f613c..e33e894f 100644 --- a/trainers/data_utils.py +++ b/trainers/data_utils.py @@ -78,9 +78,9 @@ lambda_fn=lambda x: {"text": f"Task: Definition: {x['definition']}\nQuestion: {x['inputs']}\nAnswer: {x['targets']}"} ), "fineweb_edu_100B": lambda: load_dataset("HuggingFaceFW/fineweb-edu", "sample-100BT"), - "fineweb_edu_10B": lambda: load_dataset("HuggingFaceFW/fineweb-edu", "sample-10BT") - - + "fineweb_edu_10B": lambda: load_dataset("HuggingFaceFW/fineweb-edu", "sample-10BT"), + "prm800k": lambda: load_dataset("tasksource/PRM800K"), + "math_pile": lambda: load_dataset("GAIR/MathPile") } @@ -100,18 +100,63 @@ def get_dataset_byte_size(dataset): return sum([len(item["text"]) for item in dataset]) -def load_data(dataset_name, shuffle=True): +def load_data(dataset_names, shuffle=True): """Load the data""" - assert dataset_name in DATASET_DICT, f"Dataset {dataset_name} not found!" - dataset = DATASET_DICT[dataset_name]() + # Check if only a single dataset name was provided + if isinstance(dataset_names, str): + dataset_names = [dataset_names] + + datasets_list = [] + for dataset_name in dataset_names: + assert dataset_name in DATASET_DICT, f"Dataset {dataset_name} not found!" + dataset = DATASET_DICT[dataset_name]() + datasets_list.append(dataset["train"]) + + # Concatenate datasets if there are multiple datasets + if len(datasets_list) > 1: + combined_dataset = concatenate_datasets(datasets_list) + else: + combined_dataset = datasets_list[0] - # create dataset split - split_dataset = dataset["train"].train_test_split( + # Create dataset split + split_dataset = combined_dataset.train_test_split( test_size=0.01, seed=489, shuffle=shuffle ) - # rename test split to val + # Rename test split to val split_dataset["val"] = split_dataset.pop("test") - # return the training and validation datasets - return split_dataset \ No newline at end of file + # Return the training and validation datasets + return split_dataset + +# def load_data(dataset_names, shuffle=True): +# """Load the data""" +# # check if only a single dataset name was provided +# if isinstance(dataset_names, str): +# dataset_names = [dataset_names] + + +# for dataset_name in dataset_names: +# assert dataset_name in DATASET_DICT, f"Dataset {dataset_name} not found!" +# dataset = DATASET_DICT[dataset_name]() + + +# # create dataset split +# split_dataset = dataset["train"].train_test_split( +# test_size=0.01, seed=489, shuffle=shuffle +# ) + +# # rename test split to val +# split_dataset["val"] = split_dataset.pop("test") + +# # return the training and validation datasets +# return split_dataset + + +def load_prm800k_dataset(): + """ + Load the PRM800k dataset + https://arxiv.org/abs/2305.20050 + https://huggingface.co/datasets/tasksource/PRM800K + """ + pass \ No newline at end of file From f5ad8696a9d3bc96eabfa921a83c5f36a7d21487 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Thu, 10 Oct 2024 15:50:21 +0800 Subject: [PATCH 195/209] wip --- models/components/utils/__init__.py | 1 + .../{utils.py => utils/tokenizer_utils.py} | 2 +- models/model_shell.py | 2 +- trainers/datasets.py | 10 ++++++++-- trainers/prepare.py | 18 +++++++++++++----- 5 files changed, 24 insertions(+), 9 deletions(-) create mode 100644 models/components/utils/__init__.py rename models/components/{utils.py => utils/tokenizer_utils.py} (95%) diff --git a/models/components/utils/__init__.py b/models/components/utils/__init__.py new file mode 100644 index 00000000..509d17b8 --- /dev/null +++ b/models/components/utils/__init__.py @@ -0,0 +1 @@ +from models.components.utils.tokenizer_utils import * \ No newline at end of file diff --git a/models/components/utils.py b/models/components/utils/tokenizer_utils.py similarity index 95% rename from models/components/utils.py rename to models/components/utils/tokenizer_utils.py index a2cf97a6..254c4fe2 100644 --- a/models/components/utils.py +++ b/models/components/utils/tokenizer_utils.py @@ -16,7 +16,7 @@ def get_tokenizer_path(tokenizer_type, vocab_size, dataset_name, simplify, num_r ## TODO: find better solution tokenizer_folder = os.path.join( - project_root, "models", "components", "tokenizer_models" + project_root, "components", "tokenizer_models" ) # create folder if not exists diff --git a/models/model_shell.py b/models/model_shell.py index 3200123a..403fa63a 100644 --- a/models/model_shell.py +++ b/models/model_shell.py @@ -78,7 +78,7 @@ def inference(self, model_input): if isinstance(model_input, str): # use inference function of the embedding model model_input = self.embedding_model.tokenize_input(model_input, truncate=True, add_eot=False) - x = torch.tensor(model_input, device=self.device, dtype=torch.long).unsqueeze(0).clone().detach() + x = torch.tensor(model_input, device=self.device, dtype=torch.long).unsqueeze(0) x = self.embedding_model(model_input) # pass the embeddings through the core model diff --git a/trainers/datasets.py b/trainers/datasets.py index 3f76b587..c104a225 100644 --- a/trainers/datasets.py +++ b/trainers/datasets.py @@ -25,11 +25,17 @@ def __init__(self, split, cfg): """ super().__init__() self.cfg = cfg - self.dataset_name = self.cfg["trainer"]["dataset"] + dataset_names = self.cfg["trainer"]["dataset"] self.context_window = self.cfg["model"]["context_window"] + # Ensure dataset_names is a list + if isinstance(dataset_names, str): + dataset_names = [dataset_names] + + # Create a unique identifier for the combined datasets + combined_dataset_name = '_'.join(dataset_names) self.data_path = os.path.join( self.cfg["general"]["paths"]["data_dir"], - self.dataset_name, + combined_dataset_name, f'{self.cfg["model"]["tokenizer_type"]}-{self.cfg["model"]["vocab_size"]}-{self.cfg["trainer"]["dataloader"]["name"]}', f"{split}.bin" ) diff --git a/trainers/prepare.py b/trainers/prepare.py index 20808b76..25d3fe92 100644 --- a/trainers/prepare.py +++ b/trainers/prepare.py @@ -151,13 +151,21 @@ def prepare_data(cfg): Split the data, process & tokenize it, and store it as memmap bin files """ - # check if the data is already preprocessed + # Check if the data is already preprocessed dataloader_name = cfg["trainer"]["dataloader"]["name"] - dataset_name = cfg["trainer"]["dataset"] + dataset_names = cfg["trainer"]["dataset"] + + # Ensure dataset_names is a list + if isinstance(dataset_names, str): + dataset_names = [dataset_names] + + # Create a unique identifier for the combined datasets + combined_dataset_name = '_'.join(dataset_names) + tokenized_data_folder = os.path.join( cfg["general"]["paths"]["data_dir"], - dataset_name, - f'{cfg["model"]["tokenizer_type"]}-{cfg["model"]["vocab_size"]}-{cfg["trainer"]["dataloader"]["name"]}', + combined_dataset_name, + f'{cfg["model"]["tokenizer_type"]}-{cfg["model"]["vocab_size"]}-{dataloader_name}', ) # check if already exists (check len because some datasets use differen filenames @@ -176,7 +184,7 @@ def prepare_data(cfg): # load the dataset split_dataset = load_data( - dataset_name=dataset_name, + dataset_names=dataset_names, ) processor_object = DATALOADER_PROCESSORS[dataloader_name]( From 04774346270138fa9c7e635653c984be74e7bc65 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 11 Oct 2024 00:29:14 +0800 Subject: [PATCH 196/209] wip --- configs/train/baseline-10m.yaml | 2 +- configs/train/baseline-50m.yaml | 2 +- configs/train/debugging.yaml | 47 +++-- evals/__init__.py | 146 ++++++++++++- evals/benchmark_registry.py | 166 +++++++++++++++ evals/{mcqs => benchmarks}/__init__.py | 0 .../prompts.py => benchmarks/utils.py} | 5 + .../yield_functions.py} | 199 ++++++++---------- evals/core.py | 24 +++ evals/eval_wrapper.py | 49 ----- evals/evaluator_interface.py | 13 -- evals/evaluators/__init__.py | 1 + evals/evaluators/mcq_evaluator/evaluator.py | 49 +++++ evals/mcqs/mcq_evaluator.py | 82 -------- evals/model_wrappers.py | 37 ++++ .../text_generation_evaluator.py | 192 ----------------- .../text_modeling/text_modeling_evaluator.py | 137 ------------ models/components/tokenizers.py | 22 +- models/components/utils/tokenizer_utils.py | 15 +- models/embedding_models.py | 2 +- trainers/base_trainer.py | 80 ++++--- trainers/data_utils.py | 6 +- trainers/evaluator.py | 141 ++++++++----- 23 files changed, 711 insertions(+), 706 deletions(-) create mode 100644 evals/benchmark_registry.py rename evals/{mcqs => benchmarks}/__init__.py (100%) rename evals/{text_generation/prompts.py => benchmarks/utils.py} (98%) rename evals/{mcqs/load_benchmarks.py => benchmarks/yield_functions.py} (68%) create mode 100644 evals/core.py delete mode 100644 evals/eval_wrapper.py delete mode 100644 evals/evaluator_interface.py create mode 100644 evals/evaluators/__init__.py create mode 100644 evals/evaluators/mcq_evaluator/evaluator.py delete mode 100644 evals/mcqs/mcq_evaluator.py create mode 100644 evals/model_wrappers.py delete mode 100644 evals/text_generation/text_generation_evaluator.py delete mode 100644 evals/text_modeling/text_modeling_evaluator.py diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index 2355d8c4..e75c600d 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -20,7 +20,7 @@ model: embedding_model_type: generic tokenizer_type: bpe - tokenizer_dataset_name: en_wiki + tokenizer_dataset_names: en_wiki tokenizer_simplify_data: true vocab_size: 4000 diff --git a/configs/train/baseline-50m.yaml b/configs/train/baseline-50m.yaml index 183d920b..e9197891 100644 --- a/configs/train/baseline-50m.yaml +++ b/configs/train/baseline-50m.yaml @@ -20,7 +20,7 @@ model: embedding_model_type: generic tokenizer_type: bpe - tokenizer_dataset_name: en_wiki + tokenizer_dataset_names: en_wiki tokenizer_simplify_data: true vocab_size: 10000 diff --git a/configs/train/debugging.yaml b/configs/train/debugging.yaml index c90072be..7756ef9b 100644 --- a/configs/train/debugging.yaml +++ b/configs/train/debugging.yaml @@ -20,7 +20,7 @@ model: embedding_model_type: generic tokenizer_type: bpe - tokenizer_dataset_name: simple_en_wiki + tokenizer_dataset_names: [simple_en_wiki] tokenizer_simplify_data: true tokenizer_num_reserved_tokens: 20 vocab_size: 4000 @@ -52,24 +52,33 @@ trainer: eval_iters: 1000 eval: - mcq_benchmarks: - - "winogrande" - - "hellaswag" - - "arc_easy" - - "blimp" - - "piqa" - - "race_middle" - - "race_high" - - "boolq" - - "openbook_qa_closed" - - "openbook_qa_open" - - "copa" - - "commonsense_qa" - - "ewok" - mcq_num_samples: 1000 - eval_byte_metrics: true - text_modeling_eval: true - text_generation_eval: true + benchmarks: + - ArcEasy + - ArcEasySubset + - ArcEasyLinearSubset + + + + # mcq_benchmarks: + # - "winogrande" + # - "hellaswag" + # - "arc_easy" + # - "blimp" + # - "piqa" + # - "race_middle" + # - "race_high" + # - "boolq" + # - "openbook_qa_closed" + # - "openbook_qa_open" + # - "copa" + # - "commonsense_qa" + # - "ewok" + # mcq_num_samples: 1000 + # eval_byte_metrics: true + # text_modeling_eval: true + # text_generation_eval: true + # free_form_benchmarks: + # - "gsm8k" optimizer: optimizer_name: adamW diff --git a/evals/__init__.py b/evals/__init__.py index 523602e2..e362aaee 100644 --- a/evals/__init__.py +++ b/evals/__init__.py @@ -1,7 +1,145 @@ """ -For easier imports +Import all and register them in the registry + +(i.e. import benchmarks and evaluators) + + +ultimately should be able to call .make and .evaluate """ +from evals.benchmark_registry import register, make + + +from evals.benchmarks.yield_functions import * + +from evals.model_wrappers import LoglikelihoodMCQModelWrapper + + +# Register the MCQ benchmarks + +# ARC-Easy +register( + id="ArcEasy", + entry_point="evals.evaluators:MCQEvaluator", + model_wrapper=LoglikelihoodMCQModelWrapper, + yield_fn=load_arc_easy, + yield_fn_params={ + "version": "original", + "num_samples": None, # i.e. all samples + } +) +register( + id="ArcEasySubset", + entry_point="evals.evaluators:MCQEvaluator", + model_wrapper=LoglikelihoodMCQModelWrapper, + yield_fn=load_arc_easy, + yield_fn_params={ + "version": "original", + "num_samples": 100, # i.e. all samples + "seed": 489 + } +) +register( + id="ArcEasyLinearSubset", + entry_point="evals.evaluators:MCQEvaluator", + model_wrapper=LoglikelihoodMCQModelWrapper, + yield_fn=load_arc_easy, + yield_fn_params={ + "version": "stlm_eval", + "num_samples": None, # i.e. all samples + "seed": 489 + } +) + + +# Register the text-modeling benchmarks + + + + + + + +# EVALS_DICT = { +# "arc_easy": lambda num_samples: load_arc_easy( +# version="original", +# num_samples=num_samples +# ), +# "stlm_eval_arc_easy": lambda num_samples: load_arc_easy( +# version="stlm_eval", +# num_samples=num_samples +# ), +# "hellaswag": lambda num_samples: load_hellaswag( +# version="original", +# num_samples=num_samples +# ), +# "stlm_eval_hellaswag": lambda num_samples: load_hellaswag( +# version="stlm_eval", +# num_samples=num_samples +# ), +# "winogrande": lambda num_samples: load_winogrande( +# version="original", +# num_samples=num_samples +# ), +# "stlm_eval_winogrande": lambda num_samples: load_winogrande( +# version="stlm_eval", +# num_samples=num_samples +# ), +# "truthful_qa": lambda num_samples: load_truthful_qa_m2( +# version="original", +# num_samples=num_samples +# ), +# "stlm_eval_truthful_qa": lambda num_samples: load_truthful_qa_m2( +# version="stlm_eval", +# num_samples=num_samples +# ), +# "blimp": lambda num_samples: load_blimp( +# num_samples=num_samples +# ), +# "mmlu": lambda num_samples: load_mmlu( +# num_samples=num_samples +# ), +# "piqa": lambda num_samples: load_piqa( +# num_samples=num_samples +# ), +# "boolq": lambda num_samples: load_boolq( +# num_samples=num_samples +# ), +# "race_middle": lambda num_samples: load_race( +# version="middle", +# num_samples=num_samples +# ), +# "race_high": lambda num_samples: load_race( +# version="high", +# num_samples=num_samples +# ), +# "openbook_qa_open": lambda num_samples: load_openbook_qa( +# version="open", +# num_samples=num_samples +# ), +# "openbook_qa_closed": lambda num_samples: load_openbook_qa( +# version="closed", +# num_samples=num_samples +# ), +# "copa": lambda num_samples: load_copa( +# num_samples=num_samples +# ), +# "commonsense_qa": lambda num_samples: load_commonsense_qa( +# num_samples=num_samples +# ), +# "ewok": lambda num_samples: load_ewok( +# num_samples=num_samples +# ) +# } + + + -from evals.mcqs.mcq_evaluator import MCQEvaluator -from evals.text_modeling.text_modeling_evaluator import TextModelingEvaluator -from evals.text_generation.text_generation_evaluator import TextGenerationEvaluator \ No newline at end of file +# def load_benchmark(benchmark_name, num_samples): +# """ +# Given the benchmark name, build the benchmark +# """ +# assert benchmark_name in EVALS_DICT, \ +# f"Benchmark {benchmark_name} not found. The available benchmarks are: {list(EVALS_DICT.keys())}" +# return EVALS_DICT[benchmark_name]( +# num_samples=num_samples +# ) diff --git a/evals/benchmark_registry.py b/evals/benchmark_registry.py new file mode 100644 index 00000000..117304cb --- /dev/null +++ b/evals/benchmark_registry.py @@ -0,0 +1,166 @@ +import re +import importlib +from typing import Any, Callable, Dict, Tuple, Optional +from dataclasses import dataclass, field + +# Global environment registry +BENCHMARK_REGISTRY: Dict[str, 'BenchmarkSpec'] = {} + +@dataclass +class BenchmarkSpec: + """A specification for creating environments.""" + id: str + entry_point: Callable + kwargs: Dict[str, Any] = field(default_factory=dict) + + def make(self, **kwargs) -> Any: + """Create an benchmark instance.""" + all_kwargs = {**self.kwargs, **kwargs} + return self.entry_point(**all_kwargs) + + + +def register(id: str, entry_point: Callable, **kwargs: Any): + """Register an Benchmark with a given ID.""" + if id in BENCHMARK_REGISTRY: + raise ValueError(f"Benchmark {id} already registered.") + BENCHMARK_REGISTRY[id] = BenchmarkSpec(id=id, entry_point=entry_point, kwargs=kwargs) + +def pprint_registry(): + """Pretty print the current registry of benchmarks.""" + if not BENCHMARK_REGISTRY: + print("No Benchmarks registered.") + else: + print("Benchmark Benchmarks:") + for env_id, env_spec in BENCHMARK_REGISTRY.items(): + print(f" - {env_id}: {env_spec.entry_point}") + +def pprint_registry_detailed(): + """Pretty print the registry with additional details like kwargs.""" + if not ENV_REGISTRY: + print("No benchmarks registered.") + else: + print("Detailed Registered Benchmarks:") + for env_id, env_spec in BENCHMARK_REGISTRY.items(): + print(f" - {env_id}:") + print(f" Entry Point: {env_spec.entry_point}") + print(f" Kwargs: {env_spec.kwargs}") + + +def check_env_exists(env_id: str): + """Check if an benchmark exists in the registry.""" + if env_id not in BENCHMARK_REGISTRY: + raise ValueError(f"Benchmark {env_id} is not registered.") + else: + print(f"Benchmark {env_id} is registered.") + + +def make(env_id: str, **kwargs) -> Any: + """Create an benchmark instance using the registered ID.""" + if env_id not in BENCHMARK_REGISTRY: + raise ValueError(f"Benchmark {env_id} not found in registry.") + + env_spec = BENCHMARK_REGISTRY[env_id] + + # Resolve the entry point if it's a string + if isinstance(env_spec.entry_point, str): + module_name, class_name = env_spec.entry_point.split(":") + module = importlib.import_module(module_name) + env_class = getattr(module, class_name) + else: + env_class = env_spec.entry_point + + # Pass additional keyword arguments + return env_class(**{**env_spec.kwargs, **kwargs}) + + + +# from dataclasses import dataclass, field +# from typing import Any, Callable, Dict, Optional, Type + +# # Global benchmark registry +# BENCHMARK_REGISTRY: Dict[str, 'BenchmarkSpec'] = {} + + + + + +# @dataclass +# class BenchmarkSpec: +# """A specification for benchmarks.""" +# name: str +# evaluator_class: Type +# load_fn: Optional[Callable] = None +# kwargs: Dict[str, Any] = field(default_factory=dict) + +# def make_evaluator(self, model, **kwargs) -> Any: +# """Create an evaluator instance.""" +# all_kwargs = {**self.kwargs, **kwargs} +# return self.evaluator_class(model, benchmark_spec=self, **all_kwargs) + +# def register( +# name: str, +# evaluator_class: Type, +# load_fn: Optional[Callable] = None, +# **kwargs: Any +# ): +# """Register a benchmark with a given name.""" +# if name in BENCHMARK_REGISTRY: +# raise ValueError(f"Benchmark {name} already registered.") +# BENCHMARK_REGISTRY[name] = BenchmarkSpec( +# name=name, +# evaluator_class=evaluator_class, +# load_fn=load_fn, +# kwargs=kwargs +# ) + +# def get_benchmark_spec(name: str) -> BenchmarkSpec: +# """Retrieve a benchmark specification.""" +# if name not in BENCHMARK_REGISTRY: +# raise ValueError(f"Benchmark {name} not found in registry.") +# return BENCHMARK_REGISTRY[name] + +# def list_registered_benchmarks(): +# """List all registered benchmarks.""" +# return list(BENCHMARK_REGISTRY.keys()) + +# # # Register benchmarks + +# # # MCQ Benchmarks +# # register_benchmark( +# # name='arc_easy', +# # evaluator_class=MCQEvaluator, +# # load_fn=load_arc_easy, +# # num_samples=100 # Default parameters +# # ) + +# # register_benchmark( +# # name='hellaswag', +# # evaluator_class=MCQEvaluator, +# # load_fn=load_hellaswag, +# # num_samples=100 +# # ) + +# # # Math Word Problem Benchmarks +# # register_benchmark( +# # name='gsm8k', +# # evaluator_class=MathWordProblemEvaluator, +# # load_fn=load_gsm8k, +# # num_samples=100 +# # ) + +# # register_benchmark( +# # name='aqua_rat', +# # evaluator_class=MathWordProblemEvaluator, +# # load_fn=load_aqua_rat, +# # num_samples=100 +# # ) + +# # # Text Generation Benchmark +# # register_benchmark( +# # name='text_generation', +# # evaluator_class=TextGenerationEvaluator, +# # prompts=None # Default prompts +# # ) + +# # # Add more benchmarks as needed... diff --git a/evals/mcqs/__init__.py b/evals/benchmarks/__init__.py similarity index 100% rename from evals/mcqs/__init__.py rename to evals/benchmarks/__init__.py diff --git a/evals/text_generation/prompts.py b/evals/benchmarks/utils.py similarity index 98% rename from evals/text_generation/prompts.py rename to evals/benchmarks/utils.py index f647ee00..039fbc4a 100644 --- a/evals/text_generation/prompts.py +++ b/evals/benchmarks/utils.py @@ -1,3 +1,6 @@ +""" +Most of this should be moved to huggingface ASAP. TODO +""" GENERATION_PROMPTS = [ { "difficulty": "easy", @@ -96,3 +99,5 @@ "prompt": "You have 9 coins, one of which is slightly heavier than the others. You have a balance scale, and you can only use it twice. How can you determine which coin is the heavier one?" } ] + + diff --git a/evals/mcqs/load_benchmarks.py b/evals/benchmarks/yield_functions.py similarity index 68% rename from evals/mcqs/load_benchmarks.py rename to evals/benchmarks/yield_functions.py index 9e865c6b..953bea52 100644 --- a/evals/mcqs/load_benchmarks.py +++ b/evals/benchmarks/yield_functions.py @@ -1,23 +1,30 @@ """ -Load a bechmark loader, given the benchmark name. +Load a benchmark loader, given the benchmark name. """ import numpy as np from datasets import load_dataset +from tqdm import tqdm -def get_idx_list(dataset_length, num_samples): +def get_idx_list(dataset_length, num_samples, seed=None, verbose=True): """ Given the dataset length and the number of samples, return a list of indices to sample from the dataset """ # re-set seed every time for consistency - np.random.seed(42) - return np.random.choice( + if seed: + np.random.seed(42) + idx_list = np.random.choice( dataset_length, dataset_length if num_samples is None else min(num_samples, dataset_length), replace=False, ).tolist() -def load_arc_easy(version, num_samples=None): + if verbose: + idx_list = tqdm(idx_list, desc="Loading PIQA samples") + + return idx_list + +def load_arc_easy(version, num_samples=None, seed=None): """ Load ARC easy eval set (https://huggingface.co/datasets/allenai/ai2_arc/viewer/ARC-Easy) @@ -27,7 +34,11 @@ def load_arc_easy(version, num_samples=None): elif version == "stlm_eval": raise NotImplementedError("STLM eval version not implemented yet") - index_list = get_idx_list(len(dataset), num_samples) + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) for i in index_list: sample = dataset[i] correct_idx = sample["choices"]["label"].index(sample["answerKey"]) @@ -45,13 +56,17 @@ def load_arc_easy(version, num_samples=None): ], ) -def load_blimp(num_samples=None): +def load_blimp(num_samples=None, seed=None): """ Load BLIMP eval set https://huggingface.co/datasets/WillHeld/blimp """ dataset = load_dataset("WillHeld/blimp", trust_remote_code=True)["train"] - index_list = get_idx_list(len(dataset), num_samples) + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) for i in index_list: sample = dataset[i] yield ( @@ -61,7 +76,7 @@ def load_blimp(num_samples=None): ) -def load_hellaswag(version, num_samples=None): +def load_hellaswag(version, num_samples=None, seed=None): """ Load hellaswag eval set https://huggingface.co/datasets/Rowan/hellaswag @@ -70,8 +85,12 @@ def load_hellaswag(version, num_samples=None): dataset = load_dataset("Rowan/hellaswag", trust_remote_code=True)["validation"] # standard to use val elif version == "stlm_eval": raise NotImplementedError("STLM eval version not implemented yet") - - index_list = get_idx_list(len(dataset), num_samples) + + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) for i in index_list: sample = dataset[i] ground_truth_idx = int(sample["label"]) @@ -82,13 +101,17 @@ def load_hellaswag(version, num_samples=None): ) -def load_mmlu(num_samples=None): +def load_mmlu(num_samples=None, seed=None): """ Load MMLU eval set https://huggingface.co/datasets/cais/mmlu """ dataset = load_dataset("cais/mmlu", "all", trust_remote_code=True)["test"] - index_list = get_idx_list(len(dataset), num_samples) + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) for i in index_list: sample = dataset[i] correct_idx = sample["answer"] @@ -98,7 +121,7 @@ def load_mmlu(num_samples=None): [f" Answer: {choice}" for i, choice in enumerate(sample["choices"]) if i != correct_idx], ) -def load_winogrande(version, num_samples=None): +def load_winogrande(version, num_samples=None, seed=None): """ Load Winogrande eval set https://huggingface.co/datasets/allenai/winogrande @@ -112,7 +135,11 @@ def load_winogrande(version, num_samples=None): elif version == "stlm_eval": raise NotImplementedError("STLM eval version not implemented yet") - index_list = get_idx_list(len(dataset), num_samples) + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) for i in index_list: sample = dataset[i] correct_opt_num = sample["answer"] @@ -122,7 +149,7 @@ def load_winogrande(version, num_samples=None): [sample["sentence"].replace("_", sample[f"option{1 if correct_opt_num == 2 else 2}"])] ) -def load_truthful_qa_m2(version, num_samples=None): +def load_truthful_qa_m2(version, num_samples=None, seed=None): """ Load the truthful QA eval set https://huggingface.co/datasets/TruthfulQA @@ -132,7 +159,11 @@ def load_truthful_qa_m2(version, num_samples=None): elif version == "stlm_eval": raise NotImplementedError("STLM eval version not implemented yet") - index_list = get_idx_list(len(dataset), num_samples) + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) for i in index_list: sample = dataset[i] yield ( @@ -141,14 +172,18 @@ def load_truthful_qa_m2(version, num_samples=None): sample["incorrect_answers"] ) -def load_piqa(num_samples=None): +def load_piqa(num_samples=None, seed=None): """ Load the PIQA eval set https://arxiv.org/abs/1911.11641 https://huggingface.co/datasets/ybisk/piqa """ dataset = load_dataset("ybisk/piqa", trust_remote_code=True)["validation"] - index_list = get_idx_list(len(dataset), num_samples) + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) for i in index_list: sample = dataset[i] yield ( @@ -157,14 +192,18 @@ def load_piqa(num_samples=None): [sample[f"sol{1 if sample['label'] == 2 else 2}"]] ) -def load_boolq(num_samples=None): +def load_boolq(num_samples=None, seed=None): """ Load the BoolQ eval set https://arxiv.org/abs/1905.10044 https://huggingface.co/datasets/google/boolq """ dataset = load_dataset("google/boolq", trust_remote_code=True)["validation"] - index_list = get_idx_list(len(dataset), num_samples) + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) for i in index_list: sample = dataset[i] yield ( @@ -173,7 +212,7 @@ def load_boolq(num_samples=None): ["no"] if sample["answer"] else ["yes"] ) -def load_race(version, num_samples=None): +def load_race(version, num_samples=None, seed=None): """ Load the RACE eval set https://aclanthology.org/D17-1082/ @@ -185,7 +224,11 @@ def load_race(version, num_samples=None): version, # middle or high school trust_remote_code=True )["validation"] - index_list = get_idx_list(len(dataset), num_samples) + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) for i in index_list: sample = dataset[i] correct_idx = ANS_TO_IDX[sample["answer"]] @@ -196,14 +239,18 @@ def load_race(version, num_samples=None): [option for i, option in enumerate(sample["options"]) if i != correct_idx] ) -def load_openbook_qa(version, num_samples=None): +def load_openbook_qa(version, num_samples=None, seed=None): """ Load the OpenbookQA eval set https://huggingface.co/datasets/allenai/openbookqa """ ANS_TO_IDX = {"A": 0, "B": 1, "C": 2, "D": 3} dataset = load_dataset("allenai/openbookqa", "additional", trust_remote_code=True)["validation"] - index_list = get_idx_list(len(dataset), num_samples) + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) for i in index_list: sample = dataset[i] correct_idx = ANS_TO_IDX[sample["answerKey"]] @@ -213,14 +260,18 @@ def load_openbook_qa(version, num_samples=None): [choice for i, choice in enumerate(sample["choices"]["text"]) if i != correct_idx] ) -def load_copa(num_samples=None): +def load_copa(num_samples=None, seed=None): """ Load the Copa eval set (balanced) https://aclanthology.org/S12-1052/ https://huggingface.co/datasets/pkavumba/balanced-copa """ dataset = load_dataset("pkavumba/balanced-copa", trust_remote_code=True)["train"] - index_list = get_idx_list(len(dataset), num_samples) + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) for i in index_list: sample = dataset[i] correct_idx = sample["label"] @@ -232,7 +283,7 @@ def load_copa(num_samples=None): ) -def load_commonsense_qa(num_samples=None): +def load_commonsense_qa(num_samples=None, seed=None): """ Load the Commonsense QA eval set https://aclanthology.org/N19-1421/ @@ -241,7 +292,11 @@ def load_commonsense_qa(num_samples=None): ANS_TO_IDX = {"A": 0, "B": 1, "C": 2, "D": 3, "E": 4, "F": 5, "G": 6, "H": 7} dataset = load_dataset("tau/commonsense_qa", trust_remote_code=True)["validation"] - index_list = get_idx_list(len(dataset), num_samples) + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) for i in index_list: sample = dataset[i] correct_idx = ANS_TO_IDX[sample["answerKey"]] @@ -251,14 +306,18 @@ def load_commonsense_qa(num_samples=None): [f"Answer: {choice}" for i, choice in enumerate(sample["choices"]["text"]) if i != correct_idx] ) -def load_ewok(num_samples=None): +def load_ewok(num_samples=None, seed=None): """ Load the Ewok eval set https://arxiv.org/abs/2405.09605v1 https://huggingface.co/datasets/ewok-core """ dataset = load_dataset("ewok-core/ewok-core-1.0", trust_remote_code=True)["test"] - index_list = get_idx_list(len(dataset), num_samples) + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) for i in index_list: sample = dataset[i] yield( @@ -268,81 +327,3 @@ def load_ewok(num_samples=None): ) - - -EVALS_DICT = { - "arc_easy": lambda num_samples: load_arc_easy( - version="original", - num_samples=num_samples - ), - "stlm_eval_arc_easy": lambda num_samples: load_arc_easy( - version="stlm_eval", - num_samples=num_samples - ), - "hellaswag": lambda num_samples: load_hellaswag( - version="original", - num_samples=num_samples - ), - "stlm_eval_hellaswag": lambda num_samples: load_hellaswag( - version="stlm_eval", - num_samples=num_samples - ), - "winogrande": lambda num_samples: load_winogrande( - version="original", - num_samples=num_samples - ), - "stlm_eval_winogrande": lambda num_samples: load_winogrande( - version="stlm_eval", - num_samples=num_samples - ), - "truthful_qa": lambda num_samples: load_truthful_qa_m2( - version="original", - num_samples=num_samples - ), - "stlm_eval_truthful_qa": lambda num_samples: load_truthful_qa_m2( - version="stlm_eval", - num_samples=num_samples - ), - "blimp": load_blimp, - "mmlu": load_mmlu, - "piqa": load_piqa, - "boolq": load_boolq, - "race_middle": lambda num_samples: load_race( - version="middle", - num_samples=num_samples - ), - "race_high": lambda num_samples: load_race( - version="high", - num_samples=num_samples - ), - "openbook_qa_open": lambda num_samples: load_openbook_qa( - version="open", - num_samples=num_samples - ), - "openbook_qa_closed": lambda num_samples: load_openbook_qa( - version="closed", - num_samples=num_samples - ), - "copa": lambda num_samples: load_copa( - num_samples=num_samples - ), - "commonsense_qa": lambda num_samples: load_commonsense_qa( - num_samples=num_samples - ), - "ewok": lambda num_samples: load_ewok( - num_samples=num_samples - ) -} - - - - -def load_benchmark(benchmark_name, num_samples): - """ - Given the benchmark name, build the benchmark - """ - assert benchmark_name in EVALS_DICT, \ - f"Benchmark {benchmark_name} not found. The available benchmarks are: {list(EVALS_DICT.keys())}" - return EVALS_DICT[benchmark_name]( - num_samples=num_samples - ) diff --git a/evals/core.py b/evals/core.py new file mode 100644 index 00000000..ebed7596 --- /dev/null +++ b/evals/core.py @@ -0,0 +1,24 @@ +from typing import Dict, Union, Any + +class BaseEvaluator: + """Base class for all evaluators.""" + + def __init__(self) -> None: + # for better logging + self.eval_metric: str = ... + self.eval_logging_path: str = ... + + def evaluate(self, model): # -> Dict[str: Any]: + """Each evaluator must implement its own evaluate method.""" + raise NotImplementedError("Each evaluator must implement its own evaluate method.") + + +class BaseModelWrapper: + """ Base class for all model wrapper. """ + + def __init__(self): + pass + + def __call__(self, **kwargs): + """ pass the forward call through the model """ + raise NotImplementedError("Each ModelWrapper must implement its own call method.") \ No newline at end of file diff --git a/evals/eval_wrapper.py b/evals/eval_wrapper.py deleted file mode 100644 index 83862863..00000000 --- a/evals/eval_wrapper.py +++ /dev/null @@ -1,49 +0,0 @@ -"""Integration code""" - -import torch - -from models import embedding_models, generator, model_shell - - -def batch(data, batch_size): - for i in range(0, len(data), batch_size): - yield data[i : i + batch_size] - - -class EvalWrapper: - def __init__(self, model_shell: model_shell.ModelShell): - self.model_shell = model_shell - super().__init__() - - def loglikelihood(self, prefixes, continuations) -> list[float]: - """ - Compute the loglikelihood of given inputs - """ - device_str = "cuda" if torch.cuda.is_available() else "cpu" - device = torch.device(device_str) - self.model_shell = self.model_shell.to(device) - results = [] - with torch.no_grad(): - with torch.autocast(device_type=device_str, dtype=torch.bfloat16): - for prefix_batch, cont_batch in zip( - batch(prefixes, 32), batch(continuations, 32) - ): - ll = self.model_shell.loglikelihood(prefix_batch, cont_batch) - results.extend(ll.cpu().numpy()) - return results - - def generate(self, prefixes) -> list[str]: - """ - Generate a continuation for a given prefix - """ - model_generator = generator.StandardGenerator( - self.model_shell, - generate_cfg={ - "max_new_tokens": 128, - "temperature": 0.7, - "top_k": 0.9, - }, - ) - for prefix in prefixes: - # tokenize the inputs - yield model_generator.default_generate(prefix) diff --git a/evals/evaluator_interface.py b/evals/evaluator_interface.py deleted file mode 100644 index 7211747f..00000000 --- a/evals/evaluator_interface.py +++ /dev/null @@ -1,13 +0,0 @@ -"""Defines the EvaluatorInterface class.""" - - -class EvaluationInterface: - """Interface for evaluating a model.""" - - def __init__(self, model): - pass - - def evaluate(self): - """Evaluate the model performance on a list - of benchmarks.""" - raise NotImplementedError() diff --git a/evals/evaluators/__init__.py b/evals/evaluators/__init__.py new file mode 100644 index 00000000..bc3d6283 --- /dev/null +++ b/evals/evaluators/__init__.py @@ -0,0 +1 @@ +from evals.evaluators.mcq_evaluator.evaluator import MCQEvaluator \ No newline at end of file diff --git a/evals/evaluators/mcq_evaluator/evaluator.py b/evals/evaluators/mcq_evaluator/evaluator.py new file mode 100644 index 00000000..bb9f3adb --- /dev/null +++ b/evals/evaluators/mcq_evaluator/evaluator.py @@ -0,0 +1,49 @@ +from evals.benchmarks.yield_functions import * + +from evals.core import BaseEvaluator, BaseModelWrapper + +from typing import Optional, Callable, Dict, Any + +class MCQEvaluator(BaseEvaluator): + """Evaluator for multiple-choice questions.""" + + def __init__( + self, + yield_fn: Callable, + model_wrapper: BaseModelWrapper, + yield_fn_params: Optional[Dict[str, Any]] = None, + eval_metric: Optional[str] = "Acc.", + eval_logging_path: Optional[str] = "MCQ", + ): + super().__init__() + """ + TODO + """ + self.eval_metric = eval_metric + self.eval_logging_path = eval_logging_path + self.yield_fn = yield_fn(**yield_fn_params) + self.model_wrapper = model_wrapper + + + def evaluate(self, model): + """ + TODO + """ + model = self.model_wrapper(model) # wrap the model + + total, correct = 0, 0 + for prefix, ground_truth, false_options in self.yield_fn: + # Prediction logic + loglikelihoods = model( + prefixes=[prefix] * (len(false_options) + 1), + continuations=[ground_truth] + false_options + ) + if loglikelihoods.index(max(loglikelihoods)) == 0: + correct += 1 + total += 1 + accuracy = correct / total if total > 0 else 0 + return { + f"{self.eval_logging_path}/{self.benchmark_spec.name}-{self.eval_metric}": accuracy + } + + diff --git a/evals/mcqs/mcq_evaluator.py b/evals/mcqs/mcq_evaluator.py deleted file mode 100644 index 89c569bd..00000000 --- a/evals/mcqs/mcq_evaluator.py +++ /dev/null @@ -1,82 +0,0 @@ -""" -Evaluator class for evaluating the models ability to answer -different mcq style questions correctly. -""" - -import torch -import tqdm - -from evals import eval_wrapper -from evals.evaluator_interface import EvaluationInterface -from evals.mcqs.load_benchmarks import load_benchmark -from trainers.utils import aggregate_value - -class MCQEvaluator(EvaluationInterface): - """ - Base Evaluator class the evaluates models - and prints/logs the results. - """ - - def __init__(self, model, num_samples=None, benchmark_list=None): - self.model = model - self.wrapper = eval_wrapper.EvalWrapper(model) - self.num_samples = num_samples - self.benchmark_list = benchmark_list - # make sure the model is in eval model - self.model.eval() - - @torch.no_grad() - def predict(self, prefix, ground_truth, false_options): - """ - Given a prompt, use the model to predict the output - Returns the loglikelihood of the ground truth and the options - """ - prefixes = [prefix] * (len(false_options) + 1) - continuations = [ground_truth] + false_options - loglikelihoods = self.wrapper.loglikelihood(prefixes=prefixes, continuations=continuations) - loglikelihoods = torch.tensor(loglikelihoods) - return loglikelihoods - - def evaluate_benchmark(self, benchmark_name, num_samples=None): - """Evaluate model performance on a specific benchmark""" - # load the benchmark_loader - benchmark_loader = load_benchmark( - benchmark_name=benchmark_name, - num_samples=num_samples - ) - confidences = [] - for i, (prefix, ground_truth, false_options) in tqdm.tqdm( - enumerate(benchmark_loader) - ): - if num_samples is not None and i > num_samples: - break - loglikelihoods = self.predict(prefix, ground_truth, false_options) - confidences.append(loglikelihoods) - # find the maximum dimension and pad the confidences up to that dimension - max_length = max([len(confidence) for confidence in confidences]) - for i, confidence in enumerate(confidences): - confidences[i] = torch.nn.functional.pad( - confidence, (0, max_length - len(confidence)), value=-1e10 - ) - - # Stack the tensor values to form a single 2D tensor - confidences = torch.stack(confidences) - - # calculate the accuracy and return it - _, predicted = torch.max(confidences, 1) - # aggregate the tensor values - return aggregate_value((predicted == 0).float().mean()) - - def evaluate(self): - """Given a list of benchmark names, load and evaluate them - - Only do so on {num_samples} for each benchmark""" - results = {} - for benchmark_name in self.benchmark_list: - print(f"evalling benchmark {benchmark_name}") - accuracy = self.evaluate_benchmark( - benchmark_name=benchmark_name, num_samples=self.num_samples - ) - results[f"MCQ/{benchmark_name}"] = accuracy - - return results diff --git a/evals/model_wrappers.py b/evals/model_wrappers.py new file mode 100644 index 00000000..52dcbe61 --- /dev/null +++ b/evals/model_wrappers.py @@ -0,0 +1,37 @@ +import torch +from evals.core import BaseModelWrapper + +from typing import List + + +def batch(data, batch_size): + for i in range(0, len(data), batch_size): + yield data[i : i + batch_size] + + +class LoglikelihoodMCQModelWrapper(BaseModelWrapper): + """ TODO """ + def __init__(self, model): + """ TODO """ + super().__init__() + self.model = model + self.device = model.device + + @torch.no_grad() + def __call__( + self, + prefixes: List[str], + continuations: List[str] + ) -> List[float]: + """ Compute the loglikelihood of given inputs """ + results = [] + with torch.no_grad(): + with torch.autocast(device_type=self.device, dtype=torch.bfloat16): + for prefix_batch, cont_batch in zip( + batch(prefixes, 32), batch(continuations, 32) # TODO (legacy) should not be hardcoded + ): + ll = self.model_shell.loglikelihood(prefix_batch, cont_batch) + results.extend(ll.cpu().numpy()) + return results + + diff --git a/evals/text_generation/text_generation_evaluator.py b/evals/text_generation/text_generation_evaluator.py deleted file mode 100644 index 35957f50..00000000 --- a/evals/text_generation/text_generation_evaluator.py +++ /dev/null @@ -1,192 +0,0 @@ -""" -Evaluator class for evaluating the models ability to generate -error-free gramatically correct and non-repetitive text. -""" -import math -import json -import numpy as np -import language_tool_python -import textstat -from nltk.translate.bleu_score import sentence_bleu, SmoothingFunction -from collections import Counter - -# import the prompts -from evals.text_generation.prompts import GENERATION_PROMPTS - - -class TextGenerationEvaluator: - def __init__(self, model, references=None): - """ - Initializes the TextEvaluator. - - :param model: The language model to evaluate. - :param references: A list of reference texts corresponding to the prompts (optional). - """ - self.model = model - self.prompts = GENERATION_PROMPTS - self.references = references if references else ["" for _ in self.prompts] - self.generated_texts = [] - self.results = [] - self.text_samples = [] - - # Initialize the grammar checker - self.grammar_tool = language_tool_python.LanguageToolPublicAPI('en-US') - - def generate_texts(self): - """Generates texts from the prompts using the model.""" - for i in range(len(self.prompts)): - - # Generate text using your model (placeholder code) - generated_text = self.model.generate( - prompt=self.prompts[i]["prompt"], - max_new_tokens=250, - temperature=0.7, - top_k=200, - repetition_penalty=1.5, - repetition_window=64 - )[0] - self.generated_texts.append(generated_text) - - self.text_samples.append( - [ - self.prompts[i]["prompt"], - generated_text - ] - ) - - def calculate_metrics(self): - """Calculates the specified metrics for the generated texts.""" - for idx, text in enumerate(self.generated_texts): - # Grammatical Error Detection - matches = self.grammar_tool.check(text) - num_errors = len(matches) - words = text.split() - errors_per_100_words = (num_errors / len(words)) * 100 if words else 0 - - # Readability Scores - readability = textstat.flesch_reading_ease(text) - - # Distinct-N Metrics - distinct_1 = self.distinct_n_gram_ratio(text, 1) - distinct_2 = self.distinct_n_gram_ratio(text, 2) - - # Self-BLEU (requires multiple texts) - self_bleu = self.calculate_self_bleu(idx) - - # Entropy Measures - entropy = self.calculate_entropy(text, 1) - - # Store the results - self.results.append({ - #'prompt': self.prompts[idx], - #'generated_text': text, - 'generation_length': len(text), - 'errors_per_100_words': errors_per_100_words, - 'readability': readability, - 'distinct_1': distinct_1, - 'distinct_2': distinct_2, - 'self_bleu': self_bleu, - 'entropy': entropy - }) - - def distinct_n_gram_ratio(self, text, n): - tokens = text.split() - n_grams = list(zip(*[tokens[i:] for i in range(n)])) - total_ngrams = len(n_grams) - unique_ngrams = len(set(n_grams)) - return unique_ngrams / total_ngrams if total_ngrams > 0 else 0 - - def calculate_self_bleu(self, idx): - # Calculate BLEU score of the generated text against other generated texts - candidate = self.generated_texts[idx].split() - references = [text.split() for i, text in enumerate(self.generated_texts) if i != idx] - if not references: - return 0 # Cannot compute self-BLEU with only one text - smoothing = SmoothingFunction().method1 - bleu_scores = [sentence_bleu([ref], candidate, smoothing_function=smoothing) for ref in references] - return sum(bleu_scores) / len(bleu_scores) - - def calculate_entropy(self, text, n): - tokens = text.split() - n_grams = list(zip(*[tokens[i:] for i in range(n)])) - counts = Counter(n_grams) - total = sum(counts.values()) - entropy = -sum((count / total) * math.log(count / total, 2) for count in counts.values()) - return entropy - - def evaluate(self): - """Runs the full evaluation.""" - self.generate_texts() - self.calculate_metrics() - return self._process_results() - - - def _process_results(self): - """ Process and clean results for wandb logging """ - - # save generated text as html - html_content = """ - - - - """ - for prompt, generated_text in self.text_samples: - html_content += f""" - - - - - """ - html_content += "
PromptGenerated Text
{prompt}
{generated_text}
" - - # process the quantitative outputs - performance_dict = {} - for i in range(len(self.results)): - for key in self.results[i].keys(): - if key not in performance_dict: - performance_dict[key] = [] - performance_dict[key].append( - self.results[i][key] - ) - - # average - return_dict = {} - for key in performance_dict: - return_dict[f"Text Generation/{key}"] = np.mean(performance_dict[key]) - return return_dict, html_content - - - def report_results(self): - """Returns the evaluation results.""" - return self.results - - def print_summary(self): - """Prints a summary of the evaluation metrics.""" - num_texts = len(self.results) - avg_errors = sum(r['errors_per_100_words'] for r in self.results) / num_texts - avg_readability = sum(r['readability'] for r in self.results) / num_texts - avg_distinct_1 = sum(r['distinct_1'] for r in self.results) / num_texts - avg_distinct_2 = sum(r['distinct_2'] for r in self.results) / num_texts - avg_self_bleu = sum(r['self_bleu'] for r in self.results) / num_texts - avg_entropy = sum(r['entropy'] for r in self.results) / num_texts - - print("Evaluation Summary:") - print(f"Average Errors per 100 Words: {avg_errors:.2f}") - print(f"Average Readability Score: {avg_readability:.2f}") - print(f"Average Distinct-1 Score: {avg_distinct_1:.4f}") - print(f"Average Distinct-2 Score: {avg_distinct_2:.4f}") - print(f"Average Self-BLEU Score: {avg_self_bleu:.4f}") - print(f"Average Entropy: {avg_entropy:.4f}") diff --git a/evals/text_modeling/text_modeling_evaluator.py b/evals/text_modeling/text_modeling_evaluator.py deleted file mode 100644 index 7c9181ec..00000000 --- a/evals/text_modeling/text_modeling_evaluator.py +++ /dev/null @@ -1,137 +0,0 @@ -""" -Evaluator class for evaluating models. -""" -import os -import torch -import torch.nn.functional as F -import numpy as np -from datasets import load_dataset -from Levenshtein import distance as levenshtein_distance -from evals.evaluator_interface import EvaluationInterface - - -class TextModelingEvaluator(EvaluationInterface): - """ - Evaluator class that evaluates models on their language modeling - capabilities in a way that is agnostic to the tokenizer used, using byte-level accuracy. - """ - def __init__(self, model, topic_list): - self.model = model - self.topic_list = topic_list - - # Ensure the model is in evaluation mode - self.model.eval() - - # Load the text data - self.data = load_dataset("SuperTinyLanguageModels/text-modeling-eval")["train"] - - - def _split_into_chunks(self, text, chunk_size=100): - """ - Split the text into chunks of 'chunk_size' words. - """ - words = text.split() - return [' '.join(words[i:i + chunk_size]) for i in range(0, len(words), chunk_size)] - - def _process_chunk(self, chunk): - """ - Process a chunk of text by predicting the next word after the chunk. - """ - input_ids = self.model.embedding_model.tokenize_input(chunk) #, return_tensors="pt") - - # convert to tensor - input_ids = torch.tensor(input_ids).unsqueeze(0).to(self.model.device) - - # Get logits from the model (normal forward pass) - with torch.no_grad(): - logits, _ = self.model(token_ids=input_ids) - - - # Shift the input tokens to align them with the predicted tokens - shift_labels = input_ids[:, 1:].contiguous() - shift_logits = logits[:, :-1, :].contiguous() - - # Get the predicted tokens (the ones with the highest logit) - predicted_token_ids = torch.argmax(shift_logits, dim=-1) - - return shift_labels, predicted_token_ids, shift_logits - - - def evaluate(self): - """ - Evaluate the model on text modeling capabilities. - """ - results = {} - for i in range(len(self.data)): - reference_text = self.data[i]["text"] - category = self.data[i]["topic"] - difficulty = self.data[i]["difficulty"] - - # Split the text into chunks - chunks = self._split_into_chunks(reference_text) - - # TODO the chunks should be stacked and run simulataneously - total_edit_distance = 0 - count = 0 - byte_correct = 0 - byte_count = 0 - - byte_perplexity_total = 0 - - for chunk in chunks: - input_ids, predicted_ids, predicted_token_logits = self._process_chunk(chunk) - - for input_id, predicted_id, pred_logits in zip(input_ids[0], predicted_ids[0], predicted_token_logits[0]): - input_text = self.model.embedding_model.decode([[input_id.item()]])# , skip_special_tokens=True) - predicted_text = self.model.embedding_model.decode([[predicted_id.item()]]) #, skip_special_tokens=True) - input_text_enc = input_text[0].encode("utf-8") - total_edit_distance += levenshtein_distance( - input_text_enc, - predicted_text[0].encode("utf-8") - ) - # increment count by num bytes - count += len(input_text_enc) - - # calculate byte accuracy - for byte_idx in range(len(input_text_enc)): - if byte_idx < len(predicted_text[0].encode("utf-8")): - if input_text_enc[byte_idx] == predicted_text[0].encode("utf-8")[byte_idx]: - byte_correct += 1 - byte_count += 1 - - # calculate byte perplexity - byte_perplexity_total += torch.exp( - F.cross_entropy( - pred_logits.unsqueeze(0).softmax(dim=-1), - input_id.unsqueeze(0) - ) - ).item()*len(input_text_enc) - - if category not in results: - results[category] = {} - - if difficulty not in results[category]: - results[category][difficulty] = { - 'Byte Acc.': [], - 'Norm. Lev. Dist': [], - 'Byte Perplexity': [] - } - - - results[category][difficulty]['Norm. Lev. Dist'].append(total_edit_distance / count) - results[category][difficulty]["Byte Acc."].append(byte_correct / byte_count) - results[category][difficulty]["Byte Perplexity"].append(byte_perplexity_total / count) - - structured_output = {} - for category in results.keys(): - for difficulty in results[category].keys(): - structured_output[f"Text Modeling (Byte Acc.)/{category}-{difficulty}"] = np.mean(results[category][difficulty]["Byte Acc."]) - structured_output[f"Text Modeling (Byte Lev. Dist.)/{category}-{difficulty}"] = np.mean(results[category][difficulty]["Norm. Lev. Dist"]) - structured_output[f"Text Modeling (Byte Perplexity)/{category}-{difficulty}"] = np.mean(results[category][difficulty]["Byte Perplexity"]) - - - #structured_output[f"{category}/Byte Acc./{difficulty}"] = np.mean(results[category][difficulty]["Byte Acc."]) - #structured_output[f"{category}/Norm. Lev. Dist/{difficulty}"] = np.mean(results[category][difficulty]["Norm. Lev. Dist"]) - #structured_output[f"{category}/Byte Perplexity/{difficulty}"] = np.mean(results[category][difficulty]["Byte Perplexity"]) - - return structured_output \ No newline at end of file diff --git a/models/components/tokenizers.py b/models/components/tokenizers.py index 80edc084..8cc7cf42 100644 --- a/models/components/tokenizers.py +++ b/models/components/tokenizers.py @@ -140,20 +140,20 @@ class BPETokenizer(TokenizerClass): def __init__( self, vocab_size: int, - dataset_name: str, + dataset_names: str, simplify: bool = True, num_reserved_tokens: int = 0, ): super().__init__() self.vocab_size = vocab_size - self.dataset_name = dataset_name + self.dataset_names = dataset_names self.simplify = simplify self.reserved_tokens = [f"[Res{x}]" for x in range(num_reserved_tokens)] if not utils.check_if_tokenizer_exists( tokenizer_type="bpe", vocab_size=vocab_size, - dataset_name=dataset_name, + dataset_names=dataset_names, simplify=simplify, num_reserved_tokens=len(self.reserved_tokens) ): @@ -168,7 +168,7 @@ def __init__( self.unk_token = self.tokenizer.token_to_id("[UNK]") def _train_tokenizer(self, verbose: bool = True): - raw_datasets = load_data(dataset_name=self.dataset_name) + raw_datasets = load_data(dataset_names=self.dataset_names) # Pattern string without compiling non_english_char_pattern = r"[^a-zA-Z0-9\s" + re.escape(string.punctuation) + r"]" @@ -240,7 +240,7 @@ def batch_iterator(): # print if verbose: - print(f"Trained a BPE tokenizer with {self.vocab_size} tokens on the {self.dataset_name} dataset.") + print(f"Trained a BPE tokenizer with {self.vocab_size} tokens on the {self.dataset_names} dataset(s).") def encode(self, text: str) -> List[int]: return self.tokenizer.encode(text).ids @@ -262,7 +262,7 @@ def _save(self): _, tokenizer_path = utils.get_tokenizer_path( tokenizer_type="bpe", vocab_size=self.vocab_size, - dataset_name=self.dataset_name, + dataset_names=self.dataset_names, simplify=self.simplify, num_reserved_tokens=len(self.reserved_tokens), ) @@ -272,7 +272,7 @@ def _load(self): _, tokenizer_path = utils.get_tokenizer_path( tokenizer_type="bpe", vocab_size=self.vocab_size, - dataset_name=self.dataset_name, + dataset_names=self.dataset_names, simplify=self.simplify, num_reserved_tokens=len(self.reserved_tokens), ) @@ -301,8 +301,8 @@ def _load(self): "mistral_32k": lambda vocab_size, dataset_name, simplify: HuggingfaceTokenizer(tokenizer_path="mistralai/Mistral-7B-v0.1"), # a custom BPE tokenizer (using the HF implementation) - "bpe": lambda vocab_size, dataset_name, simplify, num_reserved_tokens: BPETokenizer( - vocab_size=vocab_size, dataset_name=dataset_name, simplify=simplify, num_reserved_tokens=num_reserved_tokens + "bpe": lambda vocab_size, dataset_names, simplify, num_reserved_tokens: BPETokenizer( + vocab_size=vocab_size, dataset_names=dataset_names, simplify=simplify, num_reserved_tokens=num_reserved_tokens ), } @@ -310,7 +310,7 @@ def _load(self): def build_tokenizer( tokenizer_type, vocab_size, - dataset_name, + dataset_names, simplify, num_reserved_tokens ) -> TokenizerClass: @@ -320,5 +320,5 @@ def build_tokenizer( assert tokenizer_type in TOKENIZER_DICT, \ f"Tokenizer type {tokenizer_type} not found. The available tokenizers are: {list(TOKENIZER_DICT.keys())}" return TOKENIZER_DICT[tokenizer_type]( - vocab_size=vocab_size, dataset_name=dataset_name, simplify=simplify, num_reserved_tokens=num_reserved_tokens + vocab_size=vocab_size, dataset_names=dataset_names, simplify=simplify, num_reserved_tokens=num_reserved_tokens ) diff --git a/models/components/utils/tokenizer_utils.py b/models/components/utils/tokenizer_utils.py index 254c4fe2..ea2b43cc 100644 --- a/models/components/utils/tokenizer_utils.py +++ b/models/components/utils/tokenizer_utils.py @@ -6,7 +6,7 @@ ### Tokenizer Utils -def get_tokenizer_path(tokenizer_type, vocab_size, dataset_name, simplify, num_reserved_tokens): +def get_tokenizer_path(tokenizer_type, vocab_size, dataset_names, simplify, num_reserved_tokens): """ Get the path to the tokenizer. """ @@ -23,21 +23,28 @@ def get_tokenizer_path(tokenizer_type, vocab_size, dataset_name, simplify, num_r if not os.path.exists(tokenizer_folder): os.mkdir(tokenizer_folder) + # Ensure dataset_names is a list + if isinstance(dataset_names, str): + dataset_names = [dataset_names] + + # Create a unique identifier for the combined dataset + combined_dataset_name = '_'.join(dataset_names) + tokenizer_full_path = os.path.join( - tokenizer_folder, f"{tokenizer_type}_{dataset_name}_{vocab_size}_{num_reserved_tokens}.model" + tokenizer_folder, f"{tokenizer_type}_{combined_dataset_name}_{vocab_size}_{num_reserved_tokens}.model" ) if simplify: tokenizer_full_path = tokenizer_full_path.replace(".model", "_simplified.model") return tokenizer_folder, tokenizer_full_path -def check_if_tokenizer_exists(tokenizer_type, vocab_size, dataset_name, simplify, num_reserved_tokens): +def check_if_tokenizer_exists(tokenizer_type, vocab_size, dataset_names, simplify, num_reserved_tokens): """ Check if the tokenizer already exists. """ _, tokenizer_path = get_tokenizer_path( tokenizer_type=tokenizer_type, vocab_size=vocab_size, - dataset_name=dataset_name, + dataset_names=dataset_names, simplify=simplify, num_reserved_tokens=num_reserved_tokens, ) diff --git a/models/embedding_models.py b/models/embedding_models.py index 880dbae3..1b51f579 100644 --- a/models/embedding_models.py +++ b/models/embedding_models.py @@ -102,7 +102,7 @@ def __init__(self, model_cfg): self.tokenizer = build_tokenizer( tokenizer_type=model_cfg["tokenizer_type"], vocab_size=model_cfg.get("vocab_size", None), - dataset_name=model_cfg.get("tokenizer_dataset_name", None), + dataset_names=model_cfg.get("tokenizer_dataset_names", None), simplify=model_cfg.get("tokenizer_simplify", True), # Default True num_reserved_tokens=model_cfg.get("tokenizer_num_reserved_tokens", 0), # By Default, no spaces are reserved ) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 231ecf36..dcd59dea 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -7,11 +7,13 @@ # local imports from trainers import utils -from trainers.evaluator import ( - train_eval_mcq, - train_eval_text_modeling, - train_eval_text_generation -) +from trainers.evaluator import intra_training_evaluation +# from trainers.evaluator import ( +# train_eval_mcq, +# train_eval_text_modeling, +# train_eval_text_generation, +# train_free_form, +# ) from trainers.utils import aggregate_value, print_evaluation_results from models.utils import print_model_stats @@ -181,6 +183,14 @@ def estimate_performance(self, iter_num, eval_iters=None): # Make sure the model is in eval mode self.model.eval() + # try the evaluator + eval_results.update( + intra_training_evaluation( + model=self.model, + benchmarks=self.cfg["trainer"]["eval"].get("benchmarks", []), + ) + ) + # Initialize accumulators total_loss = 0.0 total_bytes = 0 @@ -244,33 +254,49 @@ def estimate_performance(self, iter_num, eval_iters=None): eval_results["Validation/Loss (Bytes)"] = avg_byte_loss eval_results["Validation/Perplexity (Bytes)"] = avg_byte_perplexity - # get the mcq eval results + + + + # # get the mcq eval results + # eval_results.update( + # train_eval_mcq( + # model=self.model, + # num_samples=self.cfg["trainer"]["eval"].get("mcq_num_samples", None), + # benchmark_list=self.cfg["trainer"]["eval"].get("mcq_benchmarks", []), + # ) + # ) + + # # get the text modeling eval results + # if self.cfg["trainer"]["eval"].get("text_modeling_eval", False): + # eval_results.update( + # train_eval_text_modeling( + # model=self.model, + # topic_list=self.cfg["trainer"]["eval"].get("text_modeling_topics", []), + # ) + # ) + + # # get the text generation eval results + # if self.cfg["trainer"]["eval"].get("text_generation_eval", False): + # text_generation_results, text_generation_sample_html = train_eval_text_generation( + # model=self.model + # ) + # eval_results.update(text_generation_results) + # eval_results.update({ + # "Generated Text": wandb.Html( + # text_generation_sample_html + # ) + # }) + + # get the free form eval results eval_results.update( - train_eval_mcq( + train_free_form( model=self.model, - num_samples=self.cfg["trainer"]["eval"].get("mcq_num_samples", None), - benchmark_list=self.cfg["trainer"]["eval"].get("mcq_benchmarks", []), + num_samples=self.cfg["trainer"]["eval"].get("free_form_num_sampels", None), + benchmark_list=self.cfg["trainer"]["eval"].get("free_form_benchmarks", []) ) ) - # get the text modeling eval results - if self.cfg["trainer"]["eval"].get("text_modeling_eval", False): - eval_results.update( - train_eval_text_modeling( - model=self.model, - topic_list=self.cfg["trainer"]["eval"].get("text_modeling_topics", []), - ) - ) - if self.cfg["trainer"]["eval"].get("text_generation_eval", False): - text_generation_results, text_generation_sample_html = train_eval_text_generation( - model=self.model - ) - eval_results.update(text_generation_results) - eval_results.update({ - "Generated Text": wandb.Html( - text_generation_sample_html - ) - }) + # set model back into train mode self.model.train() diff --git a/trainers/data_utils.py b/trainers/data_utils.py index e33e894f..4fb4df9f 100644 --- a/trainers/data_utils.py +++ b/trainers/data_utils.py @@ -80,7 +80,10 @@ "fineweb_edu_100B": lambda: load_dataset("HuggingFaceFW/fineweb-edu", "sample-100BT"), "fineweb_edu_10B": lambda: load_dataset("HuggingFaceFW/fineweb-edu", "sample-10BT"), "prm800k": lambda: load_dataset("tasksource/PRM800K"), - "math_pile": lambda: load_dataset("GAIR/MathPile") + "MATH": lambda: load_general_dataset( + dataset_name="lighteval/MATH", + lambda_fn=lambda x: {"text": f"{x['problem']}\n{x['solution']}"} + ) } @@ -112,6 +115,7 @@ def load_data(dataset_names, shuffle=True): dataset = DATASET_DICT[dataset_name]() datasets_list.append(dataset["train"]) + input(dataset) # Concatenate datasets if there are multiple datasets if len(datasets_list) > 1: combined_dataset = concatenate_datasets(datasets_list) diff --git a/trainers/evaluator.py b/trainers/evaluator.py index ddf84df8..21002af8 100644 --- a/trainers/evaluator.py +++ b/trainers/evaluator.py @@ -1,58 +1,89 @@ """Code for running samples from the evaluation benchmarks""" +import evals +from tqdm import tqdm -from evals import ( - MCQEvaluator, - TextModelingEvaluator, - TextGenerationEvaluator -) - - -def train_eval_mcq(model, num_samples, benchmark_list): - """ Create and run the MCQ evaluator """ - # wrap so failure doesn't crash the full run - try: - # load the MCQ evaluator - evaluator = MCQEvaluator( - model=model, - num_samples=num_samples, - benchmark_list=benchmark_list, - ) - # run the evaluator - return evaluator.evaluate() - except Exception as exc: - print(f"The MCQ evaluator failed vai: {exc}") - return {} - - - -def train_eval_text_modeling(model, topic_list): - """ Test the model """ - # wrap so failure doesn't crash the full run - try: - # load the Text Modeling evaluator - evaluator = TextModelingEvaluator( - model=model, - topic_list=topic_list, - ) - # run the evaluator - return evaluator.evaluate() - except Exception as exc: - print(f"The MCQ evaluator failed vai: {exc}") - return {} - - -def train_eval_text_generation(model): - """ Test the model stext generation capability """ - # wrap so failure doesn't crash the full run - try: - # load the Text Generation evaluator - evaluator = TextGenerationEvaluator( - model=model - ) - - # run the evaluator - return evaluator.evaluate() - except Exception as exc: - print(f"The MCQ evaluator failed vai: {exc}") - return {}, "" +def intra_training_evaluation(model, benchmarks): + for benchmark in tqdm(benchmarks, desc=f"Evaluating {benchmark}"): + print(benchmark) + benchmark_evaluator = evals.make(benchmark) + print(benchmark_evaluator) + input(benchmark_evaluator.evaluate(model=model, verbose=verbose)) + + + + + + +# from evals import ( +# MCQEvaluator, +# TextModelingEvaluator, +# TextGenerationEvaluator, +# MathWordProblemEvaluator +# ) + + +# def train_eval_mcq(model, num_samples, benchmark_list): +# """ Create and run the MCQ evaluator """ +# # wrap so failure doesn't crash the full run +# try: +# # load the MCQ evaluator +# evaluator = MCQEvaluator( +# model=model, +# num_samples=num_samples, +# benchmark_list=benchmark_list, +# ) +# # run the evaluator +# return evaluator.evaluate() +# except Exception as exc: +# print(f"The MCQ evaluator failed: {exc}") +# return {} + + + +# def train_eval_text_modeling(model, topic_list): +# """ Test the model """ +# # wrap so failure doesn't crash the full run +# try: +# # load the Text Modeling evaluator +# evaluator = TextModelingEvaluator( +# model=model, +# topic_list=topic_list, +# ) +# # run the evaluator +# return evaluator.evaluate() +# except Exception as exc: +# print(f"The text modeling evaluator failed: {exc}") +# return {} + + +# def train_eval_text_generation(model): +# """ Test the model stext generation capability """ +# # wrap so failure doesn't crash the full run +# try: +# # load the Text Generation evaluator +# evaluator = TextGenerationEvaluator( +# model=model +# ) + +# # run the evaluator +# return evaluator.evaluate() +# except Exception as exc: +# print(f"The text generation evaluator failed: {exc}") +# return {}, "" + +# def train_free_form(model, num_samples, benchmark_list): +# """ Create and run the free form evaluator """ +# # wrap so failure doesn't crash the full run +# # try: +# # load the free form evaluator +# evaluator = MathWordProblemEvaluator( +# model=model, +# num_samples=num_samples, +# benchmark_list=benchmark_list +# ) + +# return evaluator.evaluate() +# # except Exception as exc: +# # print(f"The free form evaluator failed: {exc}") +# # return {}, "" \ No newline at end of file From 74c8e8e5985b2b195cb3148637922e98bd16e818 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 11 Oct 2024 00:44:53 +0800 Subject: [PATCH 197/209] wip --- configs/train/baseline-100m.yaml | 109 + configs/train/baseline-10m.yaml | 2 +- ...e_simple_en_wiki_20000_20_simplified.model | 40154 ++++++++++++++++ ...bpe_simple_en_wiki_4000_0_simplified.model | 7994 +++ trainers/data_utils.py | 1 - 5 files changed, 48258 insertions(+), 2 deletions(-) create mode 100644 configs/train/baseline-100m.yaml create mode 100644 models/components/tokenizer_models/bpe_simple_en_wiki_20000_20_simplified.model create mode 100644 models/components/tokenizer_models/bpe_simple_en_wiki_4000_0_simplified.model diff --git a/configs/train/baseline-100m.yaml b/configs/train/baseline-100m.yaml new file mode 100644 index 00000000..216f7648 --- /dev/null +++ b/configs/train/baseline-100m.yaml @@ -0,0 +1,109 @@ +model: + core_model_type: generic + num_layers: 27 + + ffn: + ffn_type: generic + ffn_dim: 4096 + activation: gelu + normalization: rms_norm + bias: true + dropout: 0.0 + + attn: + attn_type: causal + num_kv_heads: 16 + num_q_heads: 4 + normalization: rms_norm + bias: true + dropout: false + + embedding_model_type: generic + tokenizer_type: bpe + tokenizer_dataset_names: [en_wiki, MATH] + tokenizer_simplify_data: true + tokenizer_num_reserved_tokens: 20 + vocab_size: 20000 + + hidden_dim: 1024 + context_window: 4096 + + lm_head_type: generic + lm_head_normalization: rms_norm + lm_head_bias: false + lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: true + ffn_weight_tying: true + positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: MATH #[fineweb_edu_10B, MATH] + batch_size: 24 + gradient_accumulation_steps: 20 + + max_iters: 80000 + eval_interval: 500000000 + log_interval: 10 + checkpoint_interval: 5000 + eval_iters: 100 + + eval: + benchmarks: + - ArcEasy + # mcq_benchmarks: + # - "winogrande" + # - "hellaswag" + # - "arc_easy" + # - "blimp" + # - "piqa" + # - "race_middle" + # - "race_high" + # - "boolq" + # - "openbook_qa_closed" + # - "openbook_qa_open" + # - "copa" + # - "commonsense_qa" + # mcq_num_samples: 500 + # eval_byte_metrics: true + # text_modeling_eval: true + # text_generation_eval: true + + optimizer: + optimizer_name: adamW + lr: 6.0e-4 + min_lr: 6.0e-6 + weight_decay: 1 + beta1: 0.9 + beta2: 0.98 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 5000 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: base_group + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index e75c600d..afcf2144 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -20,7 +20,7 @@ model: embedding_model_type: generic tokenizer_type: bpe - tokenizer_dataset_names: en_wiki + tokenizer_dataset_names: simple_en_wiki tokenizer_simplify_data: true vocab_size: 4000 diff --git a/models/components/tokenizer_models/bpe_simple_en_wiki_20000_20_simplified.model b/models/components/tokenizer_models/bpe_simple_en_wiki_20000_20_simplified.model new file mode 100644 index 00000000..cc83a401 --- /dev/null +++ b/models/components/tokenizer_models/bpe_simple_en_wiki_20000_20_simplified.model @@ -0,0 +1,40154 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 0, + "content": "[PAD]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 1, + "content": "[EOT]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 2, + "content": "[UNK]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 3, + "content": "[Res0]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + 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"Ġannouncer": 17660, + "ĠBasilica": 17661, + "UCN": 17662, + "Ġfurniture": 17663, + "Ġluxury": 17664, + "Sing": 17665, + "bands": 17666, + "asan": 17667, + "igl": 17668, + "Ġhiding": 17669, + "ĠFah": 17670, + "ĠDut": 17671, + "ĠVon": 17672, + "ellers": 17673, + "ĠAugusta": 17674, + "urnames": 17675, + "Ġairing": 17676, + "907": 17677, + "378": 17678, + "679": 17679, + "489": 17680, + "ĠNeust": 17681, + "eckl": 17682, + "Ġdestroying": 17683, + "Ġblocked": 17684, + "Ġbeaten": 17685, + "Ġcorrectly": 17686, + "Ġtrio": 17687, + "Ġfatal": 17688, + "Ġmonkeys": 17689, + "izophren": 17690, + "ln": 17691, + "link": 17692, + "Ġties": 17693, + "alm": 17694, + "ĠSuf": 17695, + "ceans": 17696, + "Ġupgraded": 17697, + "Ġcru": 17698, + "ointed": 17699, + "659": 17700, + "Ġranging": 17701, + "ĠMatches": 17702, + "Ġtemperate": 17703, + "Ġbanker": 17704, + "ĠWebsites": 17705, + "ĠFuller": 17706, + "Ġgoalkeepers": 17707, + "Ġreproductive": 17708, + "Palatinate": 17709, + "Ġhormones": 17710, + "ĠDwight": 17711, + "ĠAberdeen": 17712, + "brown": 17713, + "eu": 17714, + "high": 17715, + "pose": 17716, + "tland": 17717, + "ĠHaj": 17718, + "ĠFy": 17719, + "ĠGob": 17720, + "ificate": 17721, + "903": 17722, + "tty": 17723, + "658": 17724, + "672": 17725, + "693": 17726, + "481": 17727, + "474": 17728, + "Ġreceiver": 17729, + "ĠBurkina": 17730, + "ĠCountries": 17731, + "Ġcircular": 17732, + "legiate": 17733, + "ĠHawk": 17734, + "minute": 17735, + "Ġdiscussed": 17736, + "ĠTriassic": 17737, + "ĠTribune": 17738, + "ĠMolly": 17739, + "Ġelephants": 17740, + "Regional": 17741, + "Ġmembrane": 17742, + "ĠBaghdad": 17743, + "tail": 17744, + "Ġcavalry": 17745, + "ĠSuccess": 17746, + "ĠCorp": 17747, + "amon": 17748, + "ĠBee": 17749, + "ĠBordeaux": 17750, + "ĠRox": 17751, + "ĠHenn": 17752, + "ĠLance": 17753, + "etary": 17754, + "Ġnam": 17755, + "akura": 17756, + "1910": 17757, + "ĠUnknown": 17758, + "ĠMarino": 17759, + "ĠArmin": 17760, + "Ġknee": 17761, + "ilde": 17762, + "Ġ1650": 17763, + "ĠZimmer": 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"ĠCommercial": 17818, + "ĠAmadeus": 17819, + "ĠAircraft": 17820, + "ĠSynd": 17821, + "453": 17822, + "ĠProvidence": 17823, + "Ġafford": 17824, + "Ġadministered": 17825, + "ĠSaar": 17826, + "ĠJenny": 17827, + "Ġcontainer": 17828, + "Ġmillennium": 17829, + "ĠRecordings": 17830, + "ĠCandid": 17831, + "ĠChevrolet": 17832, + "Aquitaine": 17833, + "Out": 17834, + "nick": 17835, + "atops": 17836, + "ĠSI": 17837, + "ĠSons": 17838, + "Ġpill": 17839, + "ĠTet": 17840, + "ĠCave": 17841, + "ĠMller": 17842, + "Ġtowers": 17843, + "ĠBri": 17844, + "ĠDunn": 17845, + "ĠNgu": 17846, + "ceae": 17847, + "ĠKv": 17848, + "ĠKiy": 17849, + "Ġbeef": 17850, + "ĠChicken": 17851, + "cliffe": 17852, + "ĠElton": 17853, + "ĠHowe": 17854, + "elfth": 17855, + "706": 17856, + "681": 17857, + "682": 17858, + "686": 17859, + "456": 17860, + "696": 17861, + "Ġsucceeds": 17862, + "rology": 17863, + "476": 17864, + "Ġpastor": 17865, + "Ġparticipating": 17866, + "ĠWinchester": 17867, + "ĠAnatomy": 17868, + "Ġpornographic": 17869, + "ĠDaisy": 17870, + "ĠClyde": 17871, + "ĠMiddlesex": 17872, + "430": 17873, + "650": 17874, + "su": 17875, + "Ġdense": 17876, + "ĠFres": 17877, + "ĠDepend": 17878, + "ĠNing": 17879, + "ĠUrawa": 17880, + "ogram": 17881, + "Ġspider": 17882, + "Ġabund": 17883, + "shan": 17884, + "eneath": 17885, + "457": 17886, + "Ġintensity": 17887, + "472": 17888, + "477": 17889, + "Ġ1802": 17890, + "'''": 17891, + "Ġimmediate": 17892, + "Ġchapel": 17893, + "ĠEisenh": 17894, + "Ġshelter": 17895, + "Ġorientation": 17896, + "kping": 17897, + "uana": 17898, + "Ġpets": 17899, + "Ġ('": 17900, + "ĠPoints": 17901, + "ĠFen": 17902, + "ĠWong": 17903, + "Ġgentle": 17904, + "eyed": 17905, + "Ġcompanion": 17906, + "ĠArcher": 17907, + "ĠPalae": 17908, + "ĠOrb": 17909, + "452": 17910, + "691": 17911, + "Ġdesignation": 17912, + "ĠHalifax": 17913, + "Stars": 17914, + "Ġprophe": 17915, + "ĠGoodricke": 17916, + "Ġhomepage": 17917, + "Ġrebel": 17918, + "Ġoffering": 17919, + "Ġcarbonate": 17920, + "ĠSergio": 17921, 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"roads": 18024, + "Ġmaid": 18025, + "ĠCover": 18026, + "ĠMorm": 18027, + "ĠPill": 18028, + "ĠHr": 18029, + "ĠLief": 18030, + "Ġgifts": 18031, + "Ġeagle": 18032, + "eboard": 18033, + "solete": 18034, + "ĠMarines": 18035, + "Ġwarn": 18036, + "byter": 18037, + "451": 18038, + "484": 18039, + "ĠLabr": 18040, + "ĠAnnual": 18041, + "ĠFormation": 18042, + "Ġsecretly": 18043, + "Ġperspective": 18044, + "books": 18045, + "ĠStrauss": 18046, + "Ġteenagers": 18047, + "Ġsailed": 18048, + "ĠPinoc": 18049, + "uncredited": 18050, + "recce": 18051, + "ĠAntarctic": 18052, + "Australian": 18053, + "Ġsynthesis": 18054, + "ĠRappers": 18055, + "Ġbreathe": 18056, + "ĠJacqueline": 18057, + "Ġheadquartered": 18058, + "313": 18059, + "KA": 18060, + "frecce": 18061, + "Ġtoll": 18062, + "Ġtsun": 18063, + "Ġcad": 18064, + "Ġfu": 18065, + "Ġ220": 18066, + "ĠHaving": 18067, + "ĠNab": 18068, + "ĠGog": 18069, + "Ġate": 18070, + "ritic": 18071, + "ĠYo": 18072, + "Ġaccent": 18073, + "ĠCanucks": 18074, + "Ġflute": 18075, 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"ĠCheshire": 18126, + "Ġsupernatural": 18127, + "Pigott": 18128, + "ĠFribourg": 18129, + "Ġicon": 18130, + "itiba": 18131, + "Ġcav": 18132, + "ĠCork": 18133, + "ĠBres": 18134, + "ĠFry": 18135, + "ĠNils": 18136, + "ĠGould": 18137, + "estrian": 18138, + "illac": 18139, + "005": 18140, + "soon": 18141, + "ĠAlto": 18142, + "Ġknife": 18143, + "Ġgrouped": 18144, + "ĠEditor": 18145, + "Ġmonks": 18146, + "ĠCups": 18147, + "aneous": 18148, + "Ġcondem": 18149, + "ĠSamsung": 18150, + "Ġhandball": 18151, + "Ġvictories": 18152, + "Ġmissed": 18153, + "ĠBosnian": 18154, + "Ġmigration": 18155, + "Ġdramatic": 18156, + "ĠSylvia": 18157, + "ĠIsabel": 18158, + "Ġairplanes": 18159, + "ĠFrost": 18160, + "ĠBundestag": 18161, + "ĠAuschwitz": 18162, + "ĠEsperanto": 18163, + "ĠWimbledon": 18164, + "yst": 18165, + "Ġtram": 18166, + "anza": 18167, + "Ġmol": 18168, + "ĠHT": 18169, + "ĠHast": 18170, + "ĠOu": 18171, + "isto": 18172, + "ovna": 18173, + "Ġecosystem": 18174, + "ĠKoll": 18175, + "ĠVog": 18176, + "1914": 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"Ġconfusion": 18229, + "Ġmurderer": 18230, + "Ġpropag": 18231, + "Ġfootage": 18232, + "Ġemerged": 18233, + "Ġapplies": 18234, + "ĠAPO": 18235, + "ĠiPod": 18236, + "Ġlymphoma": 18237, + "ĠMichaels": 18238, + "510": 18239, + "660": 18240, + "ĠSiege": 18241, + "Ġpod": 18242, + "ĠMurders": 18243, + "ĠFors": 18244, + "ĠGia": 18245, + "ĠEvel": 18246, + "ĠStall": 18247, + "acon": 18248, + "arde": 18249, + "Ġspokes": 18250, + "Ġ970": 18251, + "Ġ1785": 18252, + "Ġaggressive": 18253, + "Ġbladder": 18254, + "994": 18255, + "ushu": 18256, + "Ġdevoted": 18257, + "ĠArmenians": 18258, + "ĠTreasure": 18259, + "Ġshoots": 18260, + "Ġsignificance": 18261, + "ĠVicente": 18262, + "Ġtissues": 18263, + "ĠArrondissements": 18264, + "ĠCelebrity": 18265, + "Ġmascot": 18266, + "RO": 18267, + "Ġoath": 18268, + "Ġcaves": 18269, + "ĠMales": 18270, + "ĠOman": 18271, + "Ġgospel": 18272, + "ĠKens": 18273, + "Ġsteep": 18274, + "raits": 18275, + "ĠYv": 18276, + "auss": 18277, + "ĠAnita": 18278, + "axter": 18279, + "Ġmarries": 18280, + "ĠWeap": 18281, + "ĠRonnie": 18282, + "Ġroyalty": 18283, + "Ġmeasurements": 18284, + "Ġseriously": 18285, + "Ġvegetation": 18286, + "ĠVaugh": 18287, + "Ġboroughs": 18288, + "ĠHavana": 18289, + "Ġcassette": 18290, + "ĠKarnataka": 18291, + "ĠGaelic": 18292, + "province": 18293, + "Ġpredecessor": 18294, + "640": 18295, + "hini": 18296, + "path": 18297, + "viol": 18298, + "wat": 18299, + "Ġta": 18300, + "itas": 18301, + "reens": 18302, + "Ġmisc": 18303, + "ĠCA": 18304, + "ĠCte": 18305, + "ĠPeoples": 18306, + "ĠBian": 18307, + "ĠHanna": 18308, + "ĠFork": 18309, + "ĠDssel": 18310, + "htt": 18311, + "ulates": 18312, + "007": 18313, + "eburg": 18314, + "Ġarsen": 18315, + "neg": 18316, + "ĠShannon": 18317, + "482": 18318, + "488": 18319, + "478": 18320, + "Ġprotocol": 18321, + "449": 18322, + "ĠMetall": 18323, + "ognitive": 18324, + "ĠJulio": 18325, + "banded": 18326, + "ĠIntroduction": 18327, + "Ġrevol": 18328, + "ĠBonaparte": 18329, + "ĠCardiff": 18330, + "Ġpunished": 18331, + "onomic": 18332, + "Blue": 18333, + "ĠBarton": 18334, + "ĠSSR": 18335, + "communications": 18336, + "Ġessayist": 18337, + "Ġmerchant": 18338, + "Ġbotanist": 18339, + "ĠPanthers": 18340, + "Ġphenomenon": 18341, + "GO": 18342, + "XX": 18343, + "bys": 18344, + "Ġpier": 18345, + "ĠCandy": 18346, + "adic": 18347, + "stroke": 18348, + "agedy": 18349, + "Ġbeats": 18350, + "ĠChrys": 18351, + "Ġoverd": 18352, + "ĠAdri": 18353, + "ĠEminem": 18354, + "995": 18355, + "Ġprotons": 18356, + "ĠAntig": 18357, + "Ġmagical": 18358, + "ĠUrs": 18359, + "Ġhoped": 18360, + "racuse": 18361, + "Ġobservation": 18362, + "ĠFerrari": 18363, + "ĠTroms": 18364, + "Ġvinyl": 18365, + "dimensional": 18366, + "fb": 18367, + "lake": 18368, + "member": 18369, + "nikov": 18370, + "Ġtin": 18371, + "oric": 18372, + "ĠSuicides": 18373, + "ashes": 18374, + "ĠCats": 18375, + "ilan": 18376, + "ĠPey": 18377, + "Ġhind": 18378, + "ĠBram": 18379, + "chy": 18380, + "ĠNara": 18381, + "ĠNico": 18382, + "imation": 18383, + "ogether": 18384, + "achim": 18385, + "ĠComic": 18386, + "Ġmeal": 18387, + "Ġformats": 18388, + "ĠGuam": 18389, + "ĠHerr": 18390, + "788": 18391, + "ĠTravis": 18392, + "ĠWein": 18393, + "ĠMatth": 18394, + "ĠTrees": 18395, + "Ġload": 18396, + "Ġburns": 18397, + "Ġsailor": 18398, + "ĠPatriots": 18399, + "Ġinherit": 18400, + "ĠCyrillic": 18401, + "Ġsubsequent": 18402, + "Ġsubmarine": 18403, + "UT": 18404, + "hara": 18405, + "jar": 18406, + "nake": 18407, + "surname": 18408, + "Ġbisexual": 18409, + "Ġcit": 18410, + "Ġcrop": 18411, + "Ġpepper": 18412, + "Ġhub": 18413, + "ĠJol": 18414, + "ĠUly": 18415, + "ichael": 18416, + "Ġrh": 18417, + "Ġrally": 18418, + "ropolis": 18419, + "onscious": 18420, + "ĠZelda": 18421, + "Ġcarb": 18422, + "Ġsubway": 18423, + "Ġamendment": 18424, + "997": 18425, + "Ġpossibility": 18426, + "azzo": 18427, + "ynasties": 18428, + "ĠCoastal": 18429, + "ĠHampton": 18430, + "Ġarguments": 18431, + "ĠLaurence": 18432, + "Ġtargets": 18433, + "ĠRenault": 18434, + "optera": 18435, + "ĠLionel": 18436, + "ĠJoyce": 18437, + "Ġcommissioned": 18438, + "Ġdecrease": 18439, + "ĠTitanic": 18440, + "ĠCowboys": 18441, + "ĠHertford": 18442, + "ĠGiorgio": 18443, + "Ġaunt": 18444, + "Ġwick": 18445, + "Ġsam": 18446, + "Ġcure": 18447, + "ĠTuc": 18448, + "Ġdressed": 18449, + "amorph": 18450, + "ĠHust": 18451, + "chner": 18452, + "Ġecol": 18453, + "orted": 18454, + "Ġrider": 18455, + "site": 18456, + "ĠAnime": 18457, + "Ġ1707": 18458, + "Ġbutton": 18459, + "Ġmusk": 18460, + "Ġmeg": 18461, + "Ġrecru": 18462, + "ĠElm": 18463, + "ĠGrampus": 18464, + "ĠHarbour": 18465, + "454": 18466, + "459": 18467, + "694": 18468, + "ĠTomorrow": 18469, + "ĠVictory": 18470, + "ĠVolks": 18471, + "Ġseparately": 18472, + "Ġsquares": 18473, + "ĠInteractive": 18474, + "Ġeras": 18475, + "ĠEverything": 18476, + "Ġflee": 18477, + "ĠTreatment": 18478, + "brother": 18479, + "ĠEscape": 18480, + "Ġrotation": 18481, + "Ġgathered": 18482, + "Ġlocomotive": 18483, + "ĠHussein": 18484, + "nio": 18485, + "ĠCM": 18486, + "ĠCreed": 18487, + "ĠPupp": 18488, + "ĠRising": 18489, + "ĠGaza": 18490, + "008": 18491, + "ewell": 18492, + "ogi": 18493, + "Ġchron": 18494, + "ĠMarqu": 18495, + "qual": 18496, + "forming": 18497, + "ĠEmm": 18498, + "ĠEnrique": 18499, + "573": 18500, + "662": 18501, + "ĠCherok": 18502, + "Ġposthum": 18503, + "ĠBetter": 18504, + "ĠRajas": 18505, + "Ġneighb": 18506, + "ĠFaust": 18507, + "ĠNagar": 18508, + "Ġdrought": 18509, + "ĠHubert": 18510, + "ĠJenkins": 18511, + "ĠCherokee": 18512, + "460": 18513, + "Ġbark": 18514, + "ĠSept": 18515, + "Ġfed": 18516, + "ĠAB": 18517, + "ĠBrett": 18518, + "Ġlord": 18519, + "ĠFunk": 18520, + "adeth": 18521, + "ĠNiz": 18522, + "ĠNih": 18523, + "ĠGuns": 18524, + "ianism": 18525, + "uti": 18526, + "006": 18527, + "asted": 18528, + "quito": 18529, + "eye": 18530, + "Ġtrap": 18531, + "Ġmonsters": 18532, + "Ġskiers": 18533, + "ealous": 18534, + "444": 18535, + "ĠTrains": 18536, + "Ġrespected": 18537, + "Ġdelivery": 18538, + "ĠBangkok": 18539, + "ĠUniversities": 18540, + "ĠSavage": 18541, + "ĠWebb": 18542, + "Ġdealing": 18543, + "ĠExtended": 18544, + "Ġsailing": 18545, + "imensions": 18546, + "ĠChronicles": 18547, + "ĠArchaeological": 18548, + "ĠDawson": 18549, + "Tokyo": 18550, + "ĠNewspapers": 18551, + "119": 18552, + "hma": 18553, + "zilla": 18554, + "Ġtap": 18555, + "Ġtales": 18556, + "arest": 18557, + "edge": 18558, + "Ġpor": 18559, + "ĠMitch": 18560, + "ionale": 18561, + "olulu": 18562, + "ĠPant": 18563, + "ĠFlynn": 18564, + "ĠWave": 18565, + "ĠWake": 18566, + "thou": 18567, + "hton": 18568, + "ulance": 18569, + "ĠVert": 18570, + "ordinary": 18571, + "ĠThirteen": 18572, + "Ġjersey": 18573, + "ĠShiv": 18574, + "ĠForrest": 18575, + "ĠPlus": 18576, + "Ġindicated": 18577, + "eeding": 18578, + "ĠBelt": 18579, + "Ġhighways": 18580, + "Ġdevelopers": 18581, + "Ġlegends": 18582, + "Ġpassion": 18583, + "Ġavi": 18584, + "beat": 18585, + "Ġsettle": 18586, + "Ġknowing": 18587, + "ĠBoyd": 18588, + "ĠFortune": 18589, + "Ġsatir": 18590, + "ĠWiki": 18591, + "eddy": 18592, + "ĠRicky": 18593, + "ĠOwens": 18594, + "Germany": 18595, + "Ġcalculated": 18596, + "Ġvacuum": 18597, + "ĠCromwell": 18598, + "ĠDsseldorf": 18599, + "Gr": 18600, + "uya": 18601, + "aniel": 18602, + "Ġcipher": 18603, + "ĠSaid": 18604, + "ĠDram": 18605, + "story": 18606, + "stable": 18607, + "ĠJob": 18608, + "owitz": 18609, + "upe": 18610, + "ĠProb": 18611, + "ukary": 18612, + "ĠGlory": 18613, + "Ġexposure": 18614, + "hiro": 18615, + "Chinese": 18616, + "Ġmotiv": 18617, + "Ġimmigration": 18618, + "Ġmissionary": 18619, + "arlberg": 18620, + "Ġsurrendered": 18621, + "ĠBremen": 18622, + "Bay": 18623, + "Her": 18624, + "Nord": 18625, + "bank": 18626, + "titled": 18627, + "inom": 18628, + "arck": 18629, + "inga": 18630, + "ĠRih": 18631, + "ĠDund": 18632, + "ĠKram": 18633, + "Ġanxiety": 18634, + "ĠVad": 18635, + "ĠZam": 18636, + "998": 18637, + "Ġintent": 18638, + "589": 18639, + "Ġpublishes": 18640, + "umps": 18641, + "ĠPetrov": 18642, + "ĠHonolulu": 18643, + "Ġsporting": 18644, + "Art": 18645, + "ĠCasey": 18646, + "Ġwalked": 18647, + "ĠOmaha": 18648, + "Ġsulfate": 18649, + "Ġmomentum": 18650, + "ĠAnaheim": 18651, + "Ġpuppet": 18652, + "Ġhormone": 18653, + "ĠPreparation": 18654, + "ĠMozambique": 18655, + ")(": 18656, + "515": 18657, + "570": 18658, + "710": 18659, + "NL": 18660, + "ĠTik": 18661, + "Ġ230": 18662, + "Ġdiversity": 18663, + "ĠRaz": 18664, + "ĠLub": 18665, + "ĠLai": 18666, + "ĠNominated": 18667, + "ĠGM": 18668, + "ĠWide": 18669, + "ĠKick": 18670, + "Ġants": 18671, + "Ġvibr": 18672, + "ĠUnits": 18673, + "Ġ707": 18674, + "Ġfilming": 18675, + "Ġlightning": 18676, + "Ġpromise": 18677, + "iyah": 18678, + "ĠFernand": 18679, + "ĠLibertarian": 18680, + "rupted": 18681, + "Ġreserves": 18682, + "ĠPackers": 18683, + "ĠLearning": 18684, + "Ġvulner": 18685, + "480": 18686, + "Oh": 18687, + "aan": 18688, + "Ġtough": 18689, + "arma": 18690, + "ĠTian": 18691, + "ĠMim": 18692, + "adier": 18693, + "ĠNue": 18694, + "ĠOsh": 18695, + "009": 18696, + "Ġ940": 18697, + "Ġ1740": 18698, + "Ġ1784": 18699, + "ĠShot": 18700, + "Ġphon": 18701, + "gerald": 18702, + "ĠSyracuse": 18703, + "Ġcharacterized": 18704, + "Ġauto": 18705, + "ĠCatholicism": 18706, + "Ġsportscaster": 18707, + "Ġprimitive": 18708, + "Ġliteracy": 18709, + "ĠLucerne": 18710, + "Ġderiv": 18711, + "ĠFilipp": 18712, + "ĠSergeant": 18713, + "Ġmistake": 18714, + "Connor": 18715, + "Ġmirror": 18716, + "Ġsupercentenarian": 18717, + "ĠLiefering": 18718, + "cue": 18719, + "code": 18720, + "jav": 18721, + "slow": 18722, + "erland": 18723, + "ichel": 18724, + "Ġhaz": 18725, + "omas": 18726, + "iak": 18727, + "Ġshorts": 18728, + "asses": 18729, + "Ġcompact": 18730, + "Ġ910": 18731, + "ĠCann": 18732, + "ĠCarth": 18733, + "Ġnewer": 18734, + "Ġediting": 18735, + "471": 18736, + "Ġvariab": 18737, + "Ġindependently": 18738, + "Ġzinc": 18739, + "ĠFeature": 18740, + "ĠBonn": 18741, + "ĠPlanets": 18742, + "Ġnarrator": 18743, + "Ġmanufactured": 18744, + "Ġmanufacturers": 18745, + 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clud", + "1 8", + "Ġ1 2", + "in n", + "es e", + "f er", + "ap an", + "ag es", + "it ion", + "ĠS c", + "ĠDec ember", + "Ġw rit", + "ĠNov ember", + "on t", + "Ġthe re", + "a il", + "Ġ en", + "s on", + "Ġt ime", + "Ġ1 3", + "ĠEng lish", + "p l", + "g an", + "Ġbe en", + "Ġc ity", + "pr il", + "ĠO n", + "ĠJ apan", + "it t", + "ik e", + "a z", + "aus e", + "Ġte levision", + "sp an", + "2 2", + "ov ern", + "ebr uary", + "Ġin to", + "ol og", + "Ġs he", + "u ct", + "Ġf ound", + "\" |", + "as h", + "ay s", + "ĠC ounty", + "Ġd ied", + "Ġ1 1", + "m p", + "Ġa c", + "ĠI s", + "ĠP r", + "ĠC l", + "Ġm ore", + "ĠC an", + "ĠA pril", + "Ġ im", + "ag ue", + "ur y", + "ĠF ebruary", + "res ident", + "un e", + "Ġd o", + "Ġof f", + "Ġw hen", + "Ġ up", + "if e", + "o ol", + "c k", + "Ġpolit ician", + "e ak", + "ĠW orld", + "Ġd ire", + "he s", + "re at", + "Ġp op", + "ĠP ro", + "e g", + "Ġ ra", + "Ġp r", + "Ġp er", + "ĠJ u", + "Ġc ount", + "1 0", + "i x", + "b um", + "ro w", + "|| ||", + "Ġe v", + "Ġ est", + "Ġte am", + "Ġc ent", + "ĠJ oh", + "h ip", + "f t", + "Ġre c", + "p t", + "o in", + "i er", + "as e", + "ĠBrit ish", + "Ġre g", + "ĠL iving", + "he re", + "en n", + "Ġb et", + "ĠW ar", + "Ġa pp", + "Ġbec ame", + "in ist", + "Ġo ut", + "us s", + "Ġ199 9", + "ig h", + "Ġthe m", + "l l", + "ĠC ar", + "ivers ity", + "Ġn um", + "i et", + "in s", + "Ġf am", + "Ġo ver", + "og ra", + "Ġyear s", + "an n", + "an ce", + "v el", + "ist ric", + "ur n", + "ĠFran ce", + "os e", + "ĠD e", + "ĠB r", + "Ġ200 2", + "Ġn ew", + "il y", + "Ġcom mun", + "ĠK ing", + "Ġactor s", + "Ġal bum", + "Ġ20 20", + "Ġpro d", + "ĠJu ly", + "ic ip", + "at t", + "Ġn ame", + "Ġser ies", + "Ġs ome", + "Ġ19 2", + "ĠJoh n", + "ĠS w", + "ĠA t", + "ĠG e", + "Ġgro up", + "Ġs y", + "at ch", + "Ġp h", + "Ġpop ul", + "Ġf l", + "Ġd ep", + "ĠC ol", + "Ġs o", + "Ġplay ed", + "Ġest ab", + "ĠA nd", + "ĠY ork", + "le y", + "Ġc ol", + "Ġe lect", + "ĠP h", + "en er", + "Ġd if", + "a j", + "Ġre le", + "1 7", + "ĠB l", + "Ġon ly", + "al e", + "im es", + "is m", + "Ġth an", + "Ġs ec", + "ĠP ar", + "we en", + "e ver", + "Ġd es", + "a i", + "i am", + "ĠF or", + "ot h", + "Ġh im", + "Ġ Q", + "ĠLe ague", + "Ġl ar", + "u k", + "Ġst art", + "ic ial", + "ar s", + "ĠS outh", + "ĠE u", + "ab le", + "ist ory", + "Ġplay er", + "Ġat t", + "ro und", + "res ent", + "Ġb u", + "ĠJ une", + "ĠP l", + "r ed", + "ĠAust ral", + "ĠC al", + "er t", + "ug h", + "ow er", + "k s", + "ĠIt al", + "om an", + "Ġfor m", + "1 5", + "ou se", + "ĠP al", + "Ġb l", + "a ir", + "ri b", + "m on", + "Ġst ud", + "ogra ph", + "ren ch", + "ĠUn iversity", + "Ġt r", + "ur es", + "d er", + "el y", + "\" .", + "ĠM us", + "i el", + "em b", + "et t", + "1 6", + "iv ed", + "ang u", + "an c", + "ch ool", + "v e", + "ces s", + "1 4", + "ĠC on", + "ĠCan ad", + "lish ments", + "Ġbet ween", + "y s", + "1 3", + "istric t", + "icip al", + "Ġbec ause", + "1 2", + "ĠThe re", + "ic a", + "ĠP eople", + "Ġt ra", + "ĠC ity", + "er m", + "w ay", + "r on", + "ĠF rench", + "Ġst ate", + "ĠA d", + "i ent", + "un icipal", + "at her", + "19 8", + "ion al", + "ĠE d", + "Ġg o", + "Ġnum ber", + "ĠR ep", + "Ġag ain", + "ubl ic", + "ot her", + "as on", + "v ed", + "ĠN ational", + "in al", + "Ġw here", + "Ġd uring", + "rop e", + "r at", + "em ent", + "et h", + "Ġsh ow", + "ĠO r", + "Ġm on", + "a u", + "Ġc o", + "a id", + "Ġv ery", + "iv es", + "m y", + "Ġ und", + "Ġp re", + "Ġ end", + "Ġw ould", + "Ġ201 0", + "ur g", + "ur r", + "ĠN orth", + "t il", + "it al", + "Ġsp ec", + "u ally", + "Ġplay ers", + "ĠEu rope", + "oug h", + "y p", + "e e", + "Ġm ay", + "Ġm an", + "Ġw on", + "Ġl ike", + "ro s", + "art ment", + "r ist", + "ĠA ward", + "f orm", + "Ġs m", + "Ġe ar", + "ain t", + "Ġs uch", + "a x", + "he m", + "00 0", + "Ġto wn", + "fer ent", + "Ġre l", + "ĠF l", + "Ġar t", + "Ġmus ic", + "er ed", + "i ous", + "Ġin d", + "2 3", + "u al", + "Ġrele ased", + "Ġc re", + "am ed", + "ĠT e", + "in es", + "Ġ2 4", + "is hed", + "Ġestab lishments", + "Ġch ar", + "i um", + "ĠP resident", + "ro ugh", + "ĠP art", + "tern ational", + "Ġb ro", + "ĠA f", + "p en", + "s h", + "et s", + "Ġth ree", + "Ġdif ferent", + "Ġp erson", + "un g", + "Ġsec ond", + "Ġdire ct", + "Ġun til", + "ĠM ov", + "c er", + "ĠR iver", + "ĠR uss", + "Ġs up", + "Ġl ong", + "row span", + "ĠW est", + "ef ore", + "Ġst r", + "ot t", + "ĠE l", + "Ġg overn", + "Ġ200 3", + "er g", + "is e", + "Ġw ill", + "os s", + "Ġ2 5", + "il m", + "Ġ qu", + "Ġc ap", + "Ġ199 8", + "ĠL a", + "Ġw orld", + "ĠI I", + "e ed", + "o x", + "Ġle ad", + "st em", + "Ġl ater", + "Ġm ed", + "ĠG r", + "Ġthe n", + "1 1", + "Ġb ook", + "ĠAl l", + "are er", + "ant s", + "Ġch ild", + "ĠH is", + "Ġ201 9", + "ri ed", + "at ive", + "le t", + "er v", + "Ġd r", + "Ġ201 7", + "Ġd ec", + "en c", + "z e", + "Ġn ational", + "Ġm ember", + "Ġa ge", + "Ġth rough", + "ĠR el", + "Ġm ar", + "Ġare a", + "at s", + "om en", + "ĠA b", + "Ġm ain", + "it s", + "ĠA fter", + "ther n", + "amp ions", + "ut ion", + "Ġ200 4", + "3 0", + "ĠW h", + "ĠA m", + "ĠS e", + "ĠG u", + "ograph y", + "el s", + "ĠCom mun", + "Ġ3 0", + "f ect", + "in k", + "c c", + "v ent", + "Ġsong s", + "19 7", + "Ġ201 8", + "Ġs ame", + "Ġsing er", + "ĠB ar", + "ctor s", + "ul l", + "olog y", + "Ġsm all", + "Ġb and", + "O S", + "Ġc ar", + "Ġm ake", + "Ġl oc", + "ĠH er", + "Ġ200 5", + "re en", + "ĠGe or", + "Ġ201 4", + "ĠCh rist", + "Ġfor mer", + "Ġf our", + "Ġs ub", + "d om", + "ly mp", + "ĠB e", + "g er", + "ĠM an", + "g est", + "Ġre t", + "5 0", + "in o", + "re t", + "ian s", + "c om", + "Ġdep artment", + "Ġcon s", + "Ġl angu", + "Ġk ill", + "Ġf e", + "Ġpro v", + "ĠSp ace", + "Ġus e", + "Ġa m", + "ĠO lymp", + "Ġl ife", + "l p", + "Ġm et", + "ak es", + "ĠW ill", + "if orn", + "ĠC ent", + "Ġa ir", + "is c", + "oun c", + "ov e", + "c ent", + "ĠCal iforn", + "Ġbe ing", + "Ġ19 0", + "ur al", + "y l", + "\" ,", + "Ġc r", + "ĠH ar", + "ĠCaliforn ia", + "Ġg ame", + "f ess", + "ĠPart y", + "Ġw ell", + "Ġ20 21", + "Ġprod uc", + "Ġ ed", + "oll ow", + "b le", + "Ġm od", + "Ġb ack", + "j ect", + "ĠR e", + "Ġn o", + "Ġp ages", + "Ġrec ord", + "ĠH ow", + "Ġd id", + "Ġof ten", + "Ġb el", + "y n", + "an k", + "Ġ2 1", + "Ġre p", + "Ġn amed", + "ie w", + "2 4", + "at ing", + "ĠB ra", + "land s", + "om et", + "Ġstart ed", + "6 0", + "iel d", + "Ġg u", + "r est", + "Ġ .", + "ĠCh ar", + "Ġo ld", + "ĠP ol", + "ĠO ff", + "Ġ201 6", + "a e", + "Ġreg ion", + "Ġb ased", + "Ġ2 3", + "2 5", + "st it", + "ĠGerman y", + "ĠN or", + "il le", + "ug ht", + "Ġb efore", + "Ġsy stem", + "al d", + "Ġ201 5", + "ĠA ng", + "8 0", + "Ġm unicipal", + "r ies", + "Ġfam ily", + "ĠM inist", + "Ġ2 9", + "ĠJapan ese", + "ician s", + "om ar", + "our n", + "ĠEng land", + "Ġs aid", + "Ġp ar", + "Ġre m", + "ĠInd ian", + "ĠRel ated", + "Ġo wn", + "ĠR oman", + "ener al", + "Ġ200 6", + "ĠPal omar", + "Ġagain st", + "Ġs ince", + "el f", + "Ġund er", + "ĠT r", + "if ic", + "ir d", + "Ġc areer", + "ond on", + "uc k", + "Ġact ress", + "on y", + "et her", + "Ġcommun e", + "ill ion", + "Ġt ran", + "Ġn orth", + "Ġl aw", + "b urg", + "k e", + "4 0", + "en g", + "Ġg ames", + "2 7", + "ĠB ro", + "ĠP eak", + "Ġn ear", + "ĠMov ies", + "ĠItal ian", + "Ġ X", + "ĠE m", + "ĠK itt", + "ĠL ondon", + "2 9", + "Ġ2 6", + "ĠE n", + "ĠA ir", + "Ġp o", + "ĠDe ath", + "st r", + "b s", + "at a", + "ĠH istory", + "Ġpl ace", + "Ġchar act", + "as k", + "Ġan y", + "Ġw e", + "Ġ2 8", + "Ġhe lp", + "w atch", + "2 8", + "ĠE x", + "ĠC up", + "Ġf ollow", + "c he", + "Ġw ater", + "Ġ201 1", + "i ation", + "2 6", + "at ure", + "is on", + "Ġas s", + "a f", + "Ġw ar", + "Ġ2 7", + "ĠSpace watch", + "Ġgovern ment", + "Ġ ent", + "Ġdirect ed", + "Ġb est", + "Ġin ter", + "ampions hip", + "ĠE ar", + "Ġt yp", + "in ess", + "r ing", + "Ġg r", + "Ġthe se", + "Ġan im", + "g ram", + "l ing", + "Ġ200 7", + "ul ar", + "al a", + "Ġcent ury", + "EA T", + "b y", + "u th", + "ar a", + "ain s", + "h am", + "ĠU S", + "ĠN EAT", + "c on", + "ide o", + "ĠAs s", + "Ġpopul ation", + "ĠS ome", + "an a", + "ed y", + "3 3", + "in t", + "Ġe ver", + "Ġse ason", + "od y", + "Ġm il", + "ram a", + "Ġ20 22", + "o on", + "Ġcount ry", + "Ġs ur", + "at or", + "Ġ &", + "ow s", + "ĠKing dom", + "Ġapp ear", + "ord s", + "am a", + "ro g", + "al t", + "Ġ201 3", + "Ġa round", + "Ġinclud ing", + "ut e", + "ĠW hen", + "Ġor ig", + "Ġl and", + "st er", + "Ġor gan", + "Ġ199 0", + "ĠM e", + "f l", + "9 0", + "Ġb oth", + "Ġse ver", + "oin t", + "T he", + "od e", + "a ul", + "Ġwebsit e", + "Ġ200 8", + "aj or", + "7 0", + "t t", + "an ish", + "Ġs chool", + "re m", + "Ġc ould", + "Ġin v", + "Ġ2 2", + "am b", + "q ue", + "r id", + "al es", + "ĠM c", + "ip p", + "d e", + "ĠB el", + "z er", + "on es", + "Ġ em", + "Ġs et", + "Ġd istrict", + "ĠG overn", + "il t", + "n er", + "ist an", + "ĠIn ternational", + "ur ch", + "us iness", + "ĠCanad ian", + "iz ed", + "emb ers", + "Ġim port", + "ĠWill iam", + "m s", + "ĠAustral ia", + "Ġbu ild", + "Ġ201 2", + "Ġ( )", + "Ġl ist", + "oug ht", + "ĠM ed", + "Ġpro fess", + "ag o", + "Ġe ach", + "Ġh ow", + "Ġr un", + "ĠAmer ica", + "a ur", + "Ġs l", + "ak ing", + "Ġh igh", + "um b", + "3 4", + "Ġus ually", + "n ey", + "Ġ right", + "Ġl ived", + "ĠAnd erson", + "ĠCom p", + "ĠCommun es", + "uct ion", + "o ard", + "ĠM es", + "Ġex amp", + "vel op", + "ĠPh il", + "Ġs im", + "ĠThe se", + "ort s", + "Ġ200 9", + "al k", + "ros s", + "9 9", + "Ġchild ren", + "ĠM on", + "3 7", + "Ġh um", + "i ence", + "6 5", + "ra ct", + "om in", + "u es", + "um mer", + "ĠM ich", + "ib le", + "ĠH ouse", + "w rit", + "Ġl ast", + "o le", + "Ġde velop", + "col span", + "ĠAust r", + "6 4", + "ad em", + "et er", + "Ġcre ated", + "Ġro ck", + "Ġcomp os", + "6 8", + "ĠO ne", + "6 7", + "ist or", + "Ġc aus", + "N E", + "\"| -", + "Ġser v", + "ĠInd ia", + "3 5", + "ĠMinist er", + "ĠL ou", + "Ġs k", + "Ġ ran", + "ĠSw ed", + "urr ent", + "le x", + "Ġc ounty", + "Ġ '", + "Ġbe gan", + "Ġad d", + "Ġsever al", + "Ġpro gram", + "\"|- ||", + "Ġw inn", + "Ġs ign", + "ĠS an", + "Ġcl ub", + "ĠP er", + "Ġs outh", + "Ġst at", + "ĠD em", + "Ġatt ack", + "en e", + "Ġwh ile", + "Ġo per", + "ĠSt ate", + "Ġcom mon", + "ĠS ec", + "in c", + "an e", + "Ġwrit er", + "3 8", + "Ġ198 0", + "ĠD av", + "Ġv ers", + "ap p", + "ĠG l", + "ed er", + "f or", + "f ul", + "ĠS up", + "Ġlar ge", + "c hes", + "Ġt erm", + "us h", + "ĠS y", + "it ary", + "Ġimport ant", + "Ġl ive", + "v en", + "ens us", + "s ide", + "ing ton", + "Ġoff icial", + "ĠHow ever", + "4 5", + "Ġsing le", + "ĠS ch", + "Ġ if", + "Ġp ol", + "Ġhe ad", + "ĠDeath s", + "Ġd rama", + "re w", + "ĠAustral ian", + "Ġdis c", + "ir ed", + "Ġac c", + "d ay", + "ĠC ities", + "6 9", + "Ġw ent", + "Ġ199 7", + "Ġf ilm", + "n a", + "l er", + "Ġin t", + "att le", + "Ġpopul ar", + "st e", + "a ught", + "as ter", + "Ġs uc", + "ĠA c", + "Ġm illion", + "ber g", + "t he", + "ĠMes a", + "Ġd ef", + "Ġmunicipal ity", + "ĠOff icial", + "Ġd iv", + "ĠRuss ian", + "Ġlangu age", + "ic o", + "z il", + "3 9", + "a ut", + "id d", + "Ġn ow", + "o ice", + "ro l", + "Ġs oc", + "ĠM iss", + "Ġle g", + "4 8", + "Ġexamp le", + "4 7", + "Ġm at", + "an ge", + "ce pt", + "Ġdes ign", + "Ġ199 6", + "om b", + ". \"", + "Ġp ower", + "Ġf in", + "ĠS er", + "Ġch ang", + "Ġcount ries", + "Ġm in", + "Ġear ly", + "Ġe p", + "Ġan n", + "ĠCh ampionship", + "Ġp resident", + "ĠBra zil", + "Ġd ist", + "omet imes", + "iv en", + "Ġh ome", + "ĠM ex", + "Ġg et", + "w est", + "Ġen g", + "ĠH ol", + "ĠL O", + "ĠQ u", + "Ġcomp et", + "Ġw est", + "ĠC o", + "Ġgroup s", + "ock ey", + "Ġinclud e", + "ic es", + "ĠP ark", + "ĠR ec", + "Ġo pen", + "Ġd ay", + ". .", + "iv il", + "Ġv ideo", + "Ġin c", + "op h", + "i ef", + "l in", + "Ġex p", + "Ġtran s", + "ber t", + "ĠR ober", + "Ġcap ital", + "p le", + "Ġspec ies", + "Ġme ans", + "ĠS m", + "f ord", + "NE OS", + "ĠLO NEOS", + "Ġ196 0", + "Ġwrit ten", + "ĠP olit", + "ri end", + "i j", + "ĠSp anish", + "con om", + "5 7", + "Ġle ft", + "g es", + "i en", + "ĠS ing", + "Ġw ay", + "id ed", + "ĠJ ames", + "ĠS chool", + "Ġex t", + "ĠT ur", + "ro d", + "ĠP aul", + "oc rat", + "Ġever y", + "ĠS en", + "ĠM or", + "g in", + "Ġh istory", + "Ġ199 5", + "a ces", + "Ġ ,", + "ĠD r", + "9 8", + "Ġm embers", + "ĠT ex", + "our t", + "ĠP ort", + "ĠCanad a", + "Ġp ass", + "ĠA ctors", + "i od", + "Ġt imes", + "ĠE ast", + "c o", + "ĠAng el", + "ĠF ootball", + "e al", + "l ed", + "i us", + "Ġ197 0", + "Ġd own", + "F A", + "r is", + "ĠS aint", + "le ge", + "u ff", + "Ġm uch", + "ĠG ree", + "ch n", + "ov er", + "Ġman ag", + "Ġmar ried", + "Ġact iv", + "ar n", + "Ġwh at", + "9 7", + "5 8", + "an ia", + "id es", + "m a", + "ra in", + "Ġpro t", + "ep end", + "oun g", + "ro te", + "ĠRep ublic", + "Ġfam ous", + "it ar", + "|||| ||||", + "it er", + "ist ics", + "Ġcan cer", + "Ġsh ort", + "Ġ199 4", + "Ġw omen", + "e an", + "i or", + "Ġv ar", + "os p", + "ĠM il", + "ĠR eg", + "id a", + "ĠS ov", + "Ġst ill", + "Ġcom edy", + "Ġm ajor", + "a el", + "ĠFl or", + "or p", + "ĠN ot", + "Ġcl ass", + "ĠT own", + "y le", + "u el", + "Ġre f", + "o e", + "ĠPro v", + "Ġbu ilt", + "ct ion", + "Ġf ather", + "h an", + "Ġ3 1", + "y a", + "ol ution", + "al th", + "Ġj oin", + "v iew", + "Ġc urrent", + "ill a", + "ĠGeor ge", + "ĠIt s", + "Ġre ce", + "k y", + "ĠN Y", + "Ġ1 00", + "g y", + "v es", + "6 6", + "Ġst ar", + "as tern", + "ĠLou is", + "Ġs old", + "as es", + "Ġ18 8", + "Ġ199 2", + "op e", + "Ġb re", + "ĠPr ime", + "Ġp ubl", + "ĠSov iet", + "9 5", + "ĠP re", + "he l", + "Ġt it", + "o f", + "Ġ199 3", + "Ġv ill", + "ric k", + "Ġdo es", + "ĠJ os", + "Ġsup port", + "ut ch", + "ĠJ ack", + "Ġlar gest", + "Ġcomp any", + "Ġto ok", + "Ġs on", + "Ġa ward", + "ĠAr t", + "Ġp ublic", + "ĠR ed", + "ĠCh ic", + "ĠC at", + "ans as", + "Ġb usiness", + "Ġg ood", + "ĠItal y", + "ĠT w", + "Ġw rote", + "ĠV al", + "ĠUn ion", + "ĠM ount", + "Ġmov ed", + "ĠEurope an", + "ĠV ir", + "ĠK ore", + "ĠM any", + "en a", + "Ġan other", + "Ġbec ome", + "ĠCom m", + "Ġl a", + "Ġfootball er", + "ĠR ich", + "ĠTex as", + "n ess", + "Ġth ird", + "ĠA g", + "ad io", + "is ed", + "ĠCh ina", + "Ġc ame", + "Ġsuc cess", + "Ġo b", + "oc iation", + "Ġhe ld", + "ĠChic ago", + "Ġdire ctor", + "Ġto p", + "Ġb ody", + "Ġst age", + "Ġ199 1", + "c y", + "ĠR o", + "enc y", + "w ork", + "3 6", + "Ġb ig", + "ad es", + "Ġn eed", + "ĠNY S", + "4 4", + "ot s", + "Ġev en", + "ĠDem ocrat", + "ric a", + "Ġpro ble", + "Ġcont in", + "ourn al", + "uth or", + "Ġalbum s", + "Ġg iven", + "Ġprofess ional", + "Ġp os", + "Ġw ant", + "ur ed", + "Ġg en", + "iv al", + "ag n", + "Ġb as", + "Ġme an", + "ad y", + "Ġph ys", + "ĠC ast", + "Ġbook s", + "ĠP ak", + "ĠP ri", + "Ġpolit ical", + "Ġcon d", + "ĠD on", + "ex t", + "ĠRober t", + "ĠM ont", + "ac ed", + "os ed", + "ra ft", + "ĠSp ort", + "ĠC ap", + "ĠL os", + "r ican", + "ĠD uring", + "Ġd eb", + "5 5", + "ĠM y", + "Ġj ust", + "ar m", + "Ġcom m", + "ĠS l", + "Ġs ix", + "ir l", + "ĠD istrict", + "Ġwork ed", + "ut er", + "Ġo cc", + "ĠY ou", + "k i", + "Ġn ov", + "ĠBl ack", + "Ġpolitician s", + "7 8", + "ĠM ost", + "ĠDav id", + "Ġc ensus", + "and er", + "ĠL ist", + "ĠB est", + "h i", + "ĠD ep", + "Ġdes c", + "ĠT ra", + "av ing", + "Ġc ult", + "iet y", + "Ġcharact er", + "il ity", + "t ain", + "Ġth ings", + "ĠCl ub", + "ul a", + "ĠJ ew", + "Ġkill ed", + "at ural", + "er a", + "ĠAf rican", + "Ġres p", + "ou thern", + "Ġp resent", + "3 1", + "ĠCh in", + "ĠM al", + "Ġep is", + "ĠN e", + "ĠH igh", + "Ġal ong", + "Ġm en", + "v ille", + "Ġr ul", + "Ġf ive", + "um p", + "ĠF rom", + "ut ed", + "ĠD utch", + "ĠSc ott", + "m en", + "Ġl ight", + "r u", + "Ġ| }", + "ĠB as", + "ra b", + "it ions", + "m ed", + "Ġw ord", + "o o", + "ĠW e", + "Ġf em", + "ĠR es", + "or ies", + "s c", + "ĠH en", + "ĠR oy", + "ĠW ash", + "Ġ198 9", + "Ġl iving", + "Ġs w", + "m e", + "ĠG ro", + "id s", + "ĠAs ia", + "ear ch", + "Ġper iod", + "Ġmil itary", + "il ar", + "Ġr ed", + "Ġro le", + "ĠB y", + "ĠAc adem", + "ĠS al", + "av y", + "ĠS ummer", + "9 4", + "ĠAf rica", + "ĠE mp", + "writ er", + "ĠB er", + "Ġ198 8", + "Ġfound ed", + "Ġplay s", + "an o", + "Ġ198 1", + "Ġt em", + "Ġvers ion", + "ĠD es", + "Ġser ved", + "ol ic", + "v al", + "itt le", + "3 2", + "Ġpubl ished", + "t y", + "ĠH al", + "Ġh istor", + "our s", + "Ġ ef", + "ĠM ad", + "Ġprov ince", + "e um", + "Ġrep resent", + "Ġus ing", + "ĠI ll", + "n ect", + "ĠQ ue", + "o ff", + "ant ic", + "Ġex pl", + "u x", + "ĠTh om", + "re g", + "ot a", + "Ġl ook", + "Ġwork s", + "ell s", + "ical ly", + "Ġm y", + "Ġor der", + "ounc il", + "' t", + "Ġf rog", + "ir c", + "ĠC ath", + "ĠM art", + "Ġfollow ing", + "ĠWash ington", + "l ine", + "Ġc amp", + "7 7", + "ĠGr and", + "ra el", + "Ġpart s", + "Ġf ew", + "Ġag ed", + "le ments", + "Ġret urn", + "Ġto g", + "ĠS am", + "Ġdis e", + "Ġ 0", + "Ġspec ial", + "Ġtog ether", + "Ġev ent", + "ĠAngel es", + "al ity", + "ĠChin ese", + "ĠB ut", + "Ġeng ine", + "ĠB u", + "ĠA lex", + "t al", + "ĠD iv", + "at ors", + "ĠPak istan", + "Ġa uthor", + "it zer", + "iz e", + "Ġ195 0", + "Ġ ide", + "ĠW rit", + "9 6", + "re am", + "k a", + "Ġhe art", + "Ġg reat", + "Ġcaus ed", + "ou l", + "ĠChar les", + "Ġf ood", + "h a", + "ĠChrist ian", + "iss ion", + "L O", + "od es", + "ĠM unicipal", + "ĠF irst", + "Ġbec om", + "ĠG reat", + "ĠE v", + "Ġs ometimes", + "iz ation", + "if ied", + "ĠH all", + "Ġelect ion", + "ounc ed", + "ĠMich ael", + "r ip", + "Ġe qu", + "or ed", + "ict ion", + "S t", + "Ġg ot", + "on a", + "op s", + "Ġ es", + "Ġr est", + "ĠN o", + "Ġse e", + "ĠD ay", + "Ġhum an", + "lect ion", + "Ġt er", + "Ġim p", + "Ġ198 6", + "Ġar r", + "Ġh ig", + "Ġt ake", + "Ġper form", + "Ġv oice", + "ĠVir gin", + "and s", + "c ed", + "Ġp ut", + "ĠG old", + "sp eople", + "ro v", + "i ol", + "5 4", + "ĠK ar", + "ĠP at", + "m inist", + "Ġth ought", + "ĠM ary", + "ĠPl ay", + "Ġg ener", + "g ian", + "ĠRich ard", + "Ġs ol", + "Ġbel ie", + "ĠOlymp ics", + "idd le", + "ĠB ill", + "ĠSp ain", + "Ġb i", + "i ers", + "ĠB en", + "ĠM ass", + "Ġf ight", + "B C", + "ĠL aw", + "ĠM et", + "Ġtr ad", + "ar ch", + "un t", + "Ġv ot", + "Ġ198 7", + "Ġse at", + "Ġgu itar", + "A S", + "ĠIs rael", + "Ġm other", + "ord ing", + "ĠI r", + "um ent", + "ĠCar ol", + "w ays", + "ĠG od", + "l o", + "Ġar ch", + "r ation", + "Ġ198 4", + "Ġle vel", + "Ġtyp e", + "ud e", + "Ġre pl", + "Ġ197 9", + "ĠS im", + "ar ed", + "ĠT er", + "8 8", + "Ġs ent", + "Ġv ol", + "Ġst ars", + "ĠS o", + "Ġf riend", + "Ġe conom", + "ĠT om", + "Ġin ternational", + "ĠPar is", + "in i", + "Ġn ext", + "Ġfe at", + "eren ce", + "ĠY ear", + "ĠAward s", + "Ġr iver", + "ĠU K", + "un n", + "ĠCh urch", + "ĠDemocrat ic", + "Ġg eneral", + "u ed", + "ĠF LO", + "at ives", + "5 9", + "Ġk ing", + "Ġl ine", + "ĠFran k", + "Ġm aking", + "Ġsc ient", + "ial ly", + "Ġ197 3", + "Ġm ark", + "Ġst ory", + "ĠTown s", + "ĠI f", + "Ġc rit", + "ĠTur k", + "Ġ198 5", + "m b", + "ĠAr g", + "ĠIs land", + "Ġd ata", + "Ġvill age", + "m ing", + "ĠL at", + "Ġy ou", + "ĠG eneral", + "et work", + "Ġ197 6", + "Ġ198 2", + "l iam", + "Ġorig in", + "Ġrel ig", + "ur a", + "ĠK n", + "per or", + "Ġf ind", + "Ġh ouse", + "ĠFlor ida", + "ar i", + "Ġan t", + "Ġ198 3", + "ĠS ant", + "ĠCol lege", + "Ġc hem", + "ĠAcadem y", + "form ation", + "ĠEmp ire", + "Ġ5 0", + "Ġv is", + "Ġlead er", + "I D", + "rop ical", + "Ġ197 7", + "u le", + "Ġf ail", + "i ber", + "Ġstr uct", + "ĠR ock", + "Ġj ournal", + "om a", + "Ġrece ived", + "ino is", + "Ġsim ilar", + "c ast", + "ĠAt l", + "ĠD an", + "ĠG o", + "st on", + "m ost", + "Ġloc ated", + "Ġn e", + "ĠH am", + "ĠK h", + "liam ent", + "ain ed", + "l ic", + "6 3", + "ĠT V", + "c her", + "ĠG ra", + ") :", + "ĠAustr ian", + "ĠIll inois", + "c ient", + "Ġ197 2", + "ĠB i", + "itzer land", + "ĠR ev", + "Ġart ist", + "s y", + "Ġproduc er", + "ert ain", + "Ġa ut", + "ig a", + "Ġnov el", + "ov ered", + "Ġd ays", + "Ġst ation", + "ĠD is", + "Ġed uc", + "Ġst op", + "ĠGree k", + "ĠMus ic", + "im ate", + "Ġp aint", + "ĠI m", + "ĠGovern or", + "Ġse en", + "ĠZ eal", + "ĠGeor g", + "Ġh ost", + "Ġall ow", + "Ġa v", + "a im", + "he st", + "Ġp rom", + "ad s", + "end ed", + "Ġstat istics", + "er ing", + "Ġ197 8", + "ĠP eter", + "Ġv al", + "ĠZeal and", + "Ġg l", + "Ġl ess", + "ĠSw itzerland", + "ar ian", + "Ġm ount", + "Ġe ast", + "Ġgro w", + "ĠSport speople", + "ĠAr ch", + "r or", + "Ġmod ern", + "Ġt urn", + "av es", + "y r", + "ĠT ran", + "ol f", + "ap e", + "ĠK ansas", + "Ġm akes", + "Ġcons id", + "0 8", + "ĠFran c", + "Ġdise ase", + "a ff", + "ir on", + "ĠD el", + "ĠOlymp ic", + "ĠU p", + "ĠAss ociation", + "Ġ193 0", + "ĠRuss ia", + "al f", + "200 6", + "4 9", + "im a", + "Ġ18 7", + "y d", + "cent ury", + "ar ia", + "ĠPolit icians", + "ĠSwed en", + "Ġis land", + "Ġst yle", + "ask et", + "200 5", + "Ġproduc ed", + "u z", + "Ġ197 4", + "aught er", + "ĠF ilm", + "Ġth ose", + "Ġ197 5", + "Ġbl ack", + "Ġl ed", + "est s", + "Ġev ents", + "Ġbe g", + "Ġind epend", + "ĠWrit ers", + "ian a", + "Ġelect ed", + "Ġteam s", + "ul ts", + "ĠT o", + "ĠProv ince", + "200 7", + "ĠCath olic", + "ĠM er", + "Ġcont rol", + "ud d", + "Ġbro ther", + "Ġpart y", + "ĠMex ico", + "Ġse x", + "un k", + "Ġst ates", + "Ġsh ould", + "Ġform ed", + "ition al", + "Ġ197 1", + "u ce", + "ĠG reen", + "th ough", + "ak en", + "re y", + "Ġ194 0", + "Ġd el", + "Ġcharact ers", + "in ter", + "4 6", + "it es", + "le ar", + "Ġg od", + "S S", + "in ed", + "l am", + "Ġs ound", + "uk e", + "Ġ #", + "gy pt", + "0 7", + "ur t", + "erg y", + "Ġwith out", + "Ġ :", + "Ġn omin", + "ĠEar th", + "I I", + "b oard", + "t ed", + "Ġmon ey", + "w ood", + "Ġph il", + "ĠA ct", + "ad a", + "Ġcon f", + "Ġtit le", + "Ġs ay", + "ĠVirgin ia", + "an i", + "Ġorig inal", + "Ġpl aces", + "f ield", + "Ġproble ms", + "o z", + "ap er", + "Ġd i", + "Ġs ide", + "ol s", + "ong ress", + "Ġann ounced", + "Ġ /", + "fect ure", + "if f", + "hem at", + "re et", + "ĠB ec", + "Ġdesc rib", + "ad u", + "ĠAr my", + "ĠWest ern", + "at ory", + "200 4", + "Ġw ife", + "Ġ ice", + "ent al", + "ight s", + "ĠE r", + "ubl ican", + "ĠRoy al", + "Ġd ue", + "s elf", + "ĠB C", + "ĠAn t", + "Ġa way", + "e ep", + "Ġex per", + "ill s", + "ĠHen ry", + "5 6", + "Ġshow s", + "Ġo pp", + "Ġl ot", + "ap pen", + "Ġjoin ed", + "ĠM ac", + "ĠE gypt", + "ic le", + "ĠThom as", + "Ġstr ong", + "Ġd est", + "Ġs il", + "Ġk ind", + "eb all", + "Ġmed al", + "Ġpo et", + "en se", + "A mer", + "Ġh ockey", + "ĠBrazil ian", + "Ġ el", + "asket ball", + "k n", + "ard s", + "ĠT or", + "ĠI ran", + "ur s", + "Ġst and", + "Ġto tal", + "ĠO l", + "ĠV ict", + "Ġ196 8", + "ist er", + "Ġc y", + "Ġmus ician", + "ol k", + "ĠArg ent", + "Ġm atch", + "ĠCent ral", + "ain e", + "ro y", + "ac hed", + "ĠO h", + "ĠW omen", + "ĠF in", + "Ġcompos er", + "ĠW il", + "ĠW ind", + "it a", + "ĠA cc", + "ĠC O", + "rid ge", + "x t", + "Ġd efe", + "g o", + "ep h", + "r ont", + "ste ad", + "Ġbuild ing", + "Ġc ities", + "Ġlangu ages", + "Ġs ite", + "as ons", + "Ġother s", + "Ġl ost", + "Ġchang ed", + "ers t", + "ĠB ook", + "ur b", + "ra w", + "200 3", + "Ġpl an", + "Ġloc al", + "yl v", + "ĠF I", + "ĠW ith", + "ĠV ill", + "Ġf ire", + "200 1", + "ord er", + "Ġdif f", + "Ġpro cess", + "Ġw rest", + "ĠPri ze", + "Ġm ust", + "Ġare as", + "urr ican", + "Ġp oss", + "em ents", + "Ġright s", + "ĠB ay", + "orp or", + "ĠC ouncil", + "Amer ican", + "ĠSt ud", + "Ġch ange", + "ĠD o", + "200 8", + "Ġstud io", + "ĠR ob", + "b e", + "re ed", + "Ġ196 9", + "ĠM in", + "Ġw ee", + "Ġd em", + "re land", + "Ġre al", + "c hed", + "end er", + "fl u", + "Ġre port", + "or ia", + "ĠRep ublican", + "8 7", + "ĠP op", + "Ġm ult", + "Ġwh ite", + "F F", + "Ġ196 4", + "Ġbe h", + "ĠSt ar", + "Ġl ate", + "ĠRec ords", + "n ot", + "ĠG ames", + "ĠP et", + "ad o", + "ĠCat al", + "Ġl ives", + "e le", + "ĠSwed ish", + "ward s", + "Ġ =", + "9 3", + "ether lands", + "Ġinclud es", + "Ġp at", + "Ġp oint", + "Ġh appen", + "ers ey", + "ĠD ev", + "om s", + "ĠI reland", + "Ġplay ing", + "ĠO k", + "ĠM ic", + "200 2", + "Ġ196 7", + "ĠC ont", + "el and", + "b or", + "Ġsoc ial", + "Ġh ard", + "ĠWh ite", + "Ġ $", + "Ġef fect", + "ĠP enn", + "Ġbro ad", + "Ġsc ience", + "ĠGro up", + "ĠA v", + "r d", + "ic les", + "rip t", + "Ġc ivil", + "ĠSc ot", + "al y", + "l ished", + "ar ies", + "Ġd et", + "Ġf un", + "Ġn on", + "ĠCarol ina", + "Ġy oung", + "Ġg ave", + "Ġinclud ed", + "ĠAustr ia", + "ĠSup er", + ". ,", + "ill er", + "ip s", + "Ġ )", + "Ġm ix", + "4 3", + "Ġre ad", + "ĠSec ret", + "aw a", + "Ġr adio", + "Ġmost ly", + "og n", + "ĠO s", + "200 0", + "an ies", + "Ġm ag", + "re l", + "i ro", + "Ġanim als", + "6 1", + "n ing", + "Ġh and", + "i qu", + "sh ire", + "Ġph ot", + "p art", + "ĠL ife", + "Ġ4 0", + "U n", + "Ġappear ed", + "Ġp ain", + "Ġg old", + "ak er", + "Ġf ield", + "eder al", + "am m", + "ĠM r", + "Ġte chn", + "ib r", + "Ġa ff", + "Ġf inal", + "c le", + "4 1", + "z a", + "Ġh old", + "all s", + "Ġra ce", + "Ġad v", + "Ġres ult", + "ĠC ro", + "b on", + "Ġn or", + "ant on", + "ĠM el", + "ĠH on", + "ĠS ur", + "Ġw ords", + "ĠN etherlands", + "ad or", + "ĠA rab", + "y m", + "ĠEar ly", + "p s", + "c raft", + "Ġs ett", + "ĠM ag", + "angu age", + "Ġ194 5", + "l i", + "ig er", + "ĠB o", + "9 2", + "ĠR h", + "Ġse a", + "ĠA pp", + "ect ed", + "Ġcol or", + "at o", + "il es", + "b r", + "Ġd aughter", + "ec ut", + "lect ed", + "ep ar", + "le ment", + "ĠC he", + "sp ort", + "Ġdeb ut", + "inn ing", + "200 9", + "9 1", + "Ġc or", + "199 9", + "Ġcomp uter", + "op her", + "a ud", + "os aur", + "Ġcom es", + "Ġc al", + "ĠL ab", + "he ast", + "it her", + "Ġstud y", + "ĠMar k", + "Ġco ach", + "Ġus es", + "uc ed", + "ĠC r", + "Ġt rib", + "Ġt aken", + "Ġ z", + "Ġwant ed", + "w w", + "id ing", + "6 2", + "Ġg ra", + "ĠCon f", + "ĠOh io", + "i que", + "Ġ196 6", + "is l", + "ĠF am", + "l or", + "ce an", + "Ġ( ;", + "ĠH a", + "5 3", + "ĠS ince", + "ĠV ol", + "Ġfem ale", + "st ate", + "Ġoff ice", + "ĠTh at", + "it ect", + "ub e", + "ĠB attle", + "ĠD en", + "in ation", + "ĠDiv ision", + "5 1", + "Ġre fer", + "ĠG ar", + "Ġ [", + "n y", + "it ch", + "Ġinv ol", + "i y", + "4 2", + "c a", + "ĠH ung", + "Ġ194 7", + "ell ow", + "e h", + "g en", + "Ġh aving", + "Ġbir th", + "at ic", + "Ġsc reen", + "ĠPort ug", + "Ġn atural", + "g r", + "w are", + "ĠJ er", + "ĠS ol", + "Ġwith in", + "le te", + "C h", + "ann el", + "ĠN ob", + "G B", + "ĠM od", + "ĠU k", + "Ġro und", + "Ġsp orts", + "k ed", + "s el", + "ĠLe g", + "ict ures", + "l a", + "ĠMus eum", + "Ġd am", + "ig an", + "ri al", + "ĠGe ography", + "Ġbet ter", + "Ġdevelop ed", + "Ġp ost", + "on ia", + "r ia", + "ĠGeorg ia", + "es se", + "Ġ196 5", + "Ġsur v", + "ĠJ ersey", + "Ġp ort", + "ĠJ r", + "ab it", + "ĠScott ish", + "Ġkn ow", + "ĠH el", + "ĠM os", + "Ġfootball ers", + "ies t", + "ĠPol ish", + "ĠJew ish", + "ĠH um", + "Ġ194 8", + "Ġs om", + "Ġh alf", + "Ġs ays", + "Ġv oc", + "ĠNor thern", + "Ġth ink", + "g ed", + "Ġpr ison", + "ĠB oy", + "Ġ196 3", + "ĠG en", + "Ġ195 6", + "he im", + "ĠS ong", + "ĠL o", + "Ġin formation", + "ĠP e", + "Ġcom e", + "ĠB ur", + "sy ch", + "V ID", + "Ġf ree", + "Ġs epar", + "Ġm ass", + "Ġle arn", + "ĠL ake", + "Ġestab lished", + "Ġdist rib", + "ĠG all", + "as y", + "Ġv iol", + "an ces", + "ĠL ove", + "ĠK ent", + "ĠLe e", + "u a", + "y o", + "ific ation", + "Ġconsid ered", + "b ers", + "urrican e", + "olog ical", + "Ġbecom es", + "Ġsp eak", + "Ġam ong", + "Ġstud ied", + "ĠS ett", + "ĠCO VID", + "Ġt our", + "ac y", + "Ġcon nect", + "ĠSt ev", + "ip le", + "Ġto o", + "ĠB or", + "osp ital", + "Ġad minist", + "ĠRep resent", + "ĠS un", + "Ġf ish", + "um n", + "Ġh on", + "Ġs outhern", + "ag on", + "Ġin flu", + "il s", + "ĠJ ul", + "our ces", + "ol a", + "et ts", + "Ġab le", + "ĠC amp", + "Ġl ab", + "u f", + "l im", + "Ġ20 23", + "ĠPre fecture", + "ro ll", + "ĠCent er", + "Ġcommun ity", + "it or", + "Ġ196 1", + "ĠC or", + "it z", + "ac her", + "l ess", + "ell ing", + "Ġs qu", + "Ġepis ode", + "ĠQue en", + "Ġd one", + "ĠEm peror", + "ou ri", + "ut es", + "Ġ196 2", + "ĠPr ince", + "ĠR os", + "t a", + "am ent", + "ĠAn n", + "Ġ194 6", + "ĠB ang", + "Ġind ust", + "et ic", + "em s", + "kn own", + "s ylv", + "ĠS k", + "ĠC ount", + "ĠC ivil", + "ond iss", + "ash i", + "Ġtra in", + "v ious", + "ĠIn ter", + "Ġcent er", + "ĠSm ith", + "l ike", + "Ġw oman", + "ur der", + "ĠP an", + "ĠIn stit", + "Ġsp ace", + "Ġab ove", + "us ed", + "ĠIr ish", + "\" )", + "Ġt re", + "j an", + "ĠC ourt", + "ĠCol umb", + "am s", + "ĠM at", + "s ong", + "Ġm ot", + "Ġl ow", + "ĠJ ust", + "amp ion", + "ap s", + "ĠIs lam", + "for man", + "ĠS illa", + "Ġmod el", + "ĠL in", + "m ar", + "Ġin str", + "ĠO bs", + "Ġmat hemat", + "Ġpos ition", + "r ie", + "Ġwrit ers", + "ĠMunicipal ities", + "ach us", + "it iz", + "Ġ194 2", + "Ġco ast", + "ĠGovern ment", + "sylv ania", + "ĠII I", + "ĠFI FA", + "g round", + "o or", + "ap t", + "Ġtra ck", + "Ġ194 9", + "Ġphil os", + "s ur", + "ak a", + "Ġc op", + "Ġn ever", + "Ġwork ing", + "Ġ195 7", + "Ġ19 20", + "az z", + "ĠC ongress", + "b and", + "Ġth ough", + "ĠB ern", + "199 8", + "ent ly", + "ĠE OS", + "Ġnor thern", + "Ġ194 1", + "Ġinc re", + "Ġt ro", + "Ġt reat", + "at ely", + "Ġcount ies", + "ĠMart in", + "Ġc irc", + "Ġ194 4", + "Ġis s", + "rit ory", + "el t", + "Ġwinn ers", + "ĠSe a", + "achus etts", + "Ġ193 6", + "ĠPar liament", + "Ġmus ical", + "ĠJ im", + "Ġ195 1", + "5 2", + "Ġob ject", + "ĠM a", + "pl ay", + "Ġint rod", + "Ġ et", + "ĠTe levision", + "ĠW W", + "ef f", + "Ġk eep", + "Ġal most", + "Ġf ar", + "d s", + "v ers", + "b ack", + "ĠScot land", + "ĠF red", + "Ġb r", + "Ġ193 9", + "ĠMass achusetts", + "Ġch art", + "Ġ ill", + "ĠThe ir", + "Ġoff ic", + "Ġpl ants", + "w h", + "ver age", + "et te", + "Ġf ull", + "re ad", + "ĠC ons", + "Ġtyp es", + "Ġh or", + "Ġsing ers", + "Ġserv ice", + "Ġ193 4", + "Ġhig hest", + "w a", + "Ġf a", + "ĠL and", + "Ġ8 8", + "ĠEd ward", + "Ġn ames", + "ish op", + "ĠHal eak", + "ĠW ales", + "ĠDis ney", + "Ġmus icians", + "H L", + "ĠJos eph", + "ĠSt an", + "Ġ195 8", + "ot o", + "ĠSett lements", + "Ġp res", + "Ġth r", + "Ġc ast", + "ĠBec ause", + "ĠB ob", + "ĠS at", + "p ec", + "ĠH ot", + "ell a", + "ater ial", + "Ġact ion", + "Ġde v", + "Ġc and", + "ĠS il", + "Ġret ired", + "Ġend ed", + "ĠPenn sylvania", + "c ul", + "ĠHaleak ala", + "Ġh it", + "ĠKore an", + "n ow", + "Ġwinn ing", + "p her", + "Ġb asketball", + "Ġcom b", + "Ġ193 8", + "Ġle ast", + "id er", + "b a", + "p e", + "ze ch", + "ĠE U", + "A R", + "ran ch", + "Ġk ey", + "ĠT ok", + "Ġsuccess ful", + "olog ist", + "ĠFor mer", + "ĠW rest", + "Ġ195 2", + "Ġin f", + "199 7", + "Ġopen ed", + "ĠU s", + "Ġen ergy", + "Ġ( \"", + "Ġ195 4", + "istric ts", + "m ark", + "Ġc he", + "Ġw in", + "ĠCar l", + "Ġar my", + "ress ion", + "Ġt en", + "est ival", + "ow a", + "ĠJ o", + "Ġpr im", + "Ġ192 9", + "Ġapp ro", + "u it", + "Ġ195 9", + "Ġmet al", + "ĠKore a", + "ĠB ir", + "ĠNot es", + "ĠS om", + "Ġcon stit", + "Ġpol ice", + "ĠSen ate", + "Ġ rom", + "Ġra il", + "Ġm id", + "Ġ193 3", + "a ign", + "Ġhim self", + "ĠR ail", + "ĠMiss ouri", + "b our", + "Ġmean ing", + "ĠJack son", + "or es", + "Ġfail ure", + "Ġm inist", + "Ġtem per", + "ĠB ig", + "T V", + "ul f", + "ĠS ar", + "or f", + "Ġcomp let", + "ĠAs ian", + "Ġjournal ist", + "n es", + "o ch", + "le g", + "Ġ194 3", + "ĠLat in", + "ĠT im", + "Ġfor ces", + "Ġcult ure", + "ov a", + "ĠC zech", + "Ġg ive", + "ĠD isc", + "ĠPhil ipp", + "ĠEn ter", + "ĠO b", + "Ġl ik", + "ĠF C", + "Ġtrans l", + "ĠMex ican", + "ir es", + "Ġpl ant", + "Ġ195 5", + "Ġmov e", + "Ġre qu", + "ow ers", + "Ġvar ious", + "Ġlaw y", + "ar io", + "ĠL ater", + "ecut ive", + "Ġ i", + "ian o", + "ĠIs lands", + "y e", + "ĠG al", + "v iron", + "g ar", + "iv ely", + "Ġt est", + "Ġc ause", + "ĠV er", + "Ġ8 0", + "yn ast", + "Ġle t", + "Ġ193 5", + "Ġmanag er", + "Ġ192 8", + "ir a", + "Ġg irl", + "ĠH ockey", + "Ġ193 1", + "Ġsy mb", + "Ġn etwork", + "ĠCatal ina", + "Ġj ob", + "it te", + "ĠS ir", + "Ġgro und", + "ĠE s", + "Ġa verage", + "Ġl iter", + "it ive", + "Ġac ross", + "Ġbuild ings", + "ĠAcc ording", + "Ġrecord ed", + "Ġl im", + "ĠTw o", + "Ġt ry", + "20 10", + "Ġb ad", + "ĠBro wn", + "Ġin stead", + "ĠO ver", + "Ġperform ed", + "Ġ193 7", + "ĠU r", + "Ġcon c", + "Ġst orm", + "L S", + "Ġt akes", + "ĠT ime", + "ĠJ ean", + "ĠU E", + "ĠEd uc", + "Ġarr ondiss", + "Ġ6 0", + "Ġprod uct", + "Ġcent ral", + "ĠM P", + "h ar", + "eth ing", + "ĠP ac", + "Ġcurrent ly", + "ĠH aw", + "Ġprot ect", + "i os", + "Ġtra vel", + "ĠF ox", + "g g", + "as c", + "Ġex ist", + "Ġmain ly", + "ĠO ld", + "199 6", + "Ġb ar", + "ab ly", + "ĠF ar", + "Ġme as", + "Ġm aterial", + "f ace", + "p ed", + "Ġcl aim", + "ĠC SS", + "Ġtown s", + "and a", + "ec k", + "ĠU nd", + "ste in", + "ĠC am", + "ĠM o", + "ĠK e", + "Ġro les", + "eth od", + "ĠSec ond", + "Ġcr ime", + "Ġdest roy", + "l anguage", + "Ġun ivers", + "ĠM inn", + "ĠL uc", + "Ġam ount", + "Ġ195 3", + "Ġp ark", + "ĠT od", + "Ġhe alth", + "Ġ193 2", + "j a", + "Ġs ug", + "199 5", + "Ġw ind", + "Ġmov ement", + "Ġrel ations", + "ab eth", + "Ġe ither", + "Ġpro per", + "az ine", + "ades h", + "Ġse ats", + "Ġ18 0", + "Ġc ertain", + "Ġn orm", + "st ron", + "Ġrec ogn", + "Ġw he", + "O R", + "Ġbl ood", + "ĠSc ient", + "t ime", + "Ġmon ths", + "Ġe at", + "rem e", + "ĠA p", + "ĠW ood", + "Ġch urch", + "Ġv iew", + "k o", + "Ġhelp ed", + "Ġse ven", + "Ġm ight", + "our ce", + "Ġwest ern", + "iv id", + "Ġcl ose", + "Ġ192 6", + "Ġb all", + "pec ially", + "Ġc reat", + "Ġchem ical", + "Ġstruct ures", + "Ġarch itect", + "y ear", + "ĠI owa", + "Ġal ways", + "isc o", + "ĠSt ep", + "Ġs it", + "Ġv ict", + "Ġbroad cast", + "Un ited", + "ĠD ire", + "ĠSp ring", + "air s", + "Ġc ase", + "Ġc at", + "8 9", + "N A", + "i h", + "ang er", + "end ing", + "Ġwrit ing", + "ent ion", + "ĠSt reet", + "Ġre ached", + "ĠSecret ary", + "Ġp ast", + "ĠCl ass", + "el d", + "Ġ ident", + "ad ium", + "Ġon ce", + "w an", + "Ġg e", + "Ġ192 7", + "Ġcomp anies", + "Ġto day", + "Ġprod uction", + "Ġ( ,", + "Ġcand id", + "ur ther", + "Ġde g", + "7 5", + "Ġe ight", + "ĠNob el", + "al i", + "ĠJ ud", + "end s", + "ĠH ill", + "oin ts", + "ĠBu ild", + "Ġfour th", + "ak i", + "ĠAn ton", + "ĠSoc ial", + "Ġm urder", + "ĠPol and", + "ĠS ub", + "ĠB ad", + "Ġnum bers", + "ĠMich igan", + "Ġsh own", + "Ġanim ated", + "Ġcompet ed", + "viron ment", + "Ġrepl aced", + "um ents", + "Ġp e", + "st ant", + "Ġt ree", + "ĠOr der", + "Ġc anton", + "Ġpain ter", + "uck y", + "Ġin h", + "Ġp ress", + "i as", + "emb ly", + "ĠO ut", + "ĠB efore", + "Ġpro p", + "Ġmon th", + "ĠA re", + "Ġide a", + "ĠSp orts", + "ĠH ind", + "us e", + "Ġgo al", + "Ġt alk", + "Ġcap t", + "ibr ary", + "Ġc ard", + "Ġdevelop ment", + "if t", + "ĠIn t", + "Ġsign ed", + "Ġre v", + "ĠUn ivers", + "ĠL u", + "Ġ7 0", + "ĠC areer", + "Ġin vent", + "Ġso ft", + "rem ier", + "Ġchang es", + "Ġc itiz", + "c el", + "Ġh ot", + "Ġcom ed", + "ĠGold en", + "Ġprogram s", + "Ġc ourt", + "ut y", + "Ġc ross", + "ĠK enn", + "iet n", + "um e", + "ed s", + "ĠW al", + "7 2", + "ĠBrit ain", + "ĠS erv", + "o is", + "ent h", + "ĠD ar", + "Ġre act", + "ĠSer ies", + "ĠSoc iety", + "Ġdec ided", + "ynast y", + "ĠAl b", + "at re", + "Ġde ad", + "Ġun iversity", + "Ġstud ents", + "ĠT enn", + "ĠInstit ute", + "ĠAn im", + "ĠMc C", + "Ġprom ot", + "Ġin j", + "ĠY oung", + "id ge", + "Ġan cient", + "Ġp ract", + "Ġo x", + "Ġd er", + "tern et", + "Ġn ight", + "Ġrele ase", + "ĠTe am", + "ĠM iddle", + "ĠB av", + "Ġpro ject", + "Ġ192 5", + "I n", + "ĠS and", + "id ence", + "ĠOr gan", + "Ġreturn ed", + "Ġ !", + "Ġar rest", + "ĠR ome", + "ok e", + "oc i", + "ĠAtl antic", + "s en", + "Ġp ay", + "Ġl ittle", + "ĠL y", + "or a", + "Ġes pecially", + "em p", + "Ġgo es", + "Ġb oy", + "ĠB usiness", + "es ota", + "ogra pher", + "Ġpre vious", + "Ġadd ed", + "Ġin side", + "Ġ9 0", + "Ġout side", + "ur d", + "Ġj ud", + "ed ia", + "om er", + "ip l", + "Ġear l", + "Ġgr adu", + "ĠThe n", + "at i", + "ĠF e", + "ĠRepresent atives", + "in ces", + "Ġf iction", + "Ġb attle", + "ĠMus lim", + "ĠL ittle", + "Ġindepend ent", + "Ġf ig", + "ĠB ab", + "st ra", + "ĠG ood", + "ĠAb out", + "ĠM ax", + "ĠV ietn", + "anc he", + "ask a", + "ul ation", + "ĠW ork", + "ĠMinn esota", + "ĠP ress", + "ate g", + "199 4", + "Ġper forman", + "Ġallow ed", + "ĠDep artment", + "Ġbas eball", + "8 6", + "Ġs en", + "Ġdr ug", + "Ġf all", + "Ġf re", + "Ġmunicipal ities", + "ĠE ver", + "Ġart ists", + "Ġlead ers", + "ĠE p", + "ĠS a", + "ĠM ah", + "Ġh om", + "Ġb ox", + "ĠG h", + "Ġsom ething", + "Ġen ough", + "Ġf if", + "m ond", + "Ġla un", + "eng th", + "Ġnomin ated", + "Ġcan not", + "r ich", + "Ġmount ain", + "Ġsouth west", + "Ġra p", + "al so", + "ĠP ers", + "un s", + "Ġme et", + "Ġf ront", + "Ġinter est", + "Ġrel ated", + "Ġfor ce", + "l ah", + "ĠT our", + "ĠAr men", + "ĠComp any", + "p eople", + "ĠWrest ling", + "ĠFranc isco", + "Ġres earch", + "ic ular", + "ri z", + "ad el", + "Ġposs ible", + "Ġb oard", + "8 5", + "ost on", + "Ġthe ory", + "is ing", + "ound s", + "w in", + "Ġsystem s", + "ĠW ay", + "Ġse qu", + "ĠJ ac", + "ĠB ul", + "Ġc ele", + "ĠR on", + "ĠF er", + "ĠD uke", + "h in", + "Ġa th", + "ĠColumb ia", + "ĠP ictures", + "ĠG ram", + "Ġpar ents", + "Ġband s", + "Ġair craft", + "ĠN az", + "ĠEnter tain", + "Ġfriend s", + "itte e", + "Ġ192 4", + "Ġactiv ist", + "ĠLouis iana", + "it ing", + "Ġgo ing", + "ĠV an", + "est ab", + "iz ations", + "ĠAlex ander", + "ag ed", + "Ġc oll", + "ĠF orm", + "Ġv ir", + "iv ate", + "C A", + "Ġorigin ally", + "Ġst ay", + "Ġear th", + "ĠT re", + "rat ive", + "ĠE lect", + "in son", + "c an", + "Ġra c", + "Ġwee k", + "ĠP LS", + "ĠAir port", + "Ġ19 22", + "ad d", + "hes s", + "ay er", + "ĠLe on", + "Ġm em", + "ĠSp ec", + "Ġt ropical", + "p ly", + "199 3", + "ĠWind ows", + "ay a", + "Ġlong er", + "ĠFootball ers", + "il ly", + "ar g", + "ĠA D", + "Ġres ults", + "ĠBi ography", + "in cess", + "is ions", + "j i", + "ien ces", + "Ġbre ak", + "ut s", + "7 4", + "Ġd ig", + "am i", + "Ġnorth west", + "r as", + "ing er", + "ĠF ame", + "Ġse asons", + "ĠE astern", + "ens ive", + "ĠCh ief", + "Ġgr and", + "im b", + "lah oma", + "Ġsh oot", + "m in", + "Ġr en", + "GB T", + "Ġcamp aign", + "ĠI d", + "ĠFam ily", + "7 9", + "us es", + "Ġre view", + "ail able", + "ĠH istor", + "y an", + "z o", + "ĠCh ild", + "Ġp ur", + "ĠP erson", + "h ood", + "ĠN ight", + "if y", + "Ġl ove", + "Ġfin ished", + "ĠOk lahoma", + "v a", + "Ġc rick", + "ĠM u", + "ĠSh ow", + "ĠJ eff", + "Ġc ell", + "Ġs ize", + "Ġ192 3", + "il a", + "um m", + "Ġold est", + "or ial", + "Ġm ale", + "olit an", + "ĠT am", + "ĠC ub", + "Ġdiv ided", + "ĠM ajor", + "0 5", + "c est", + "Ġepis odes", + "ĠD et", + "id ae", + "ro wn", + "/ /", + "w ar", + "or g", + "ra ine", + "Ġ19 00", + "ĠB oston", + "ĠL ong", + "7 6", + "Ġm iss", + "ou d", + "ĠChar l", + "Ġhow ever", + "ĠAr k", + "Ġd oc", + "ĠA k", + "val ue", + "s ort", + "ĠCh ile", + "p resent", + "ĠWar s", + "ĠM em", + "Ġh ospital", + "Ġle ague", + "Ġpro b", + "ĠN ord", + "l av", + "ĠPac ific", + "ut t", + "Ġmed ia", + "Ġm ach", + "ĠEl iz", + "ĠTok yo", + "ra ck", + "ĠM att", + "ĠWh ile", + "Ġb o", + "Ġe astern", + "Ġcon v", + "Ġgo als", + "ĠL GBT", + "Ġ er", + ": //", + "Ġcy cl", + "ĠWW E", + "Ġelect ric", + "Ġw id", + "ĠP ope", + "el le", + "Ġperson al", + "Ġch ampionship", + "Ġnew sp", + "enc ed", + "ĠO cean", + "ĠB al", + "Ġqu ick", + "l ers", + "ĠNew s", + "ain ing", + "ac hes", + "um i", + "Ġcontin ued", + "Ġeduc ation", + "ĠR ay", + "ĠBer lin", + "Ġl o", + "Ġc ases", + "Ġp sych", + "ĠMar ia", + "ĠL i", + "ĠJohn son", + "Ġm ethod", + "Ġsup er", + "ĠG ame", + ". )", + "el a", + "Ġac adem", + "ĠN ick", + "Ġst ations", + "Ġf ac", + "ĠC a", + "Ġ ;", + "Ġs uff", + "ĠSt e", + "Ġsmall er", + "Ġlaw s", + "0 6", + "ĠRo ad", + "Ġbelie ved", + "it o", + "writ ers", + "ur ity", + "Ġform s", + "ĠP as", + "Ġaward ed", + "ic ult", + "Ġlawy er", + "th ur", + "w ith", + "ĠT a", + "ut ure", + "Ġacc ident", + "Ġfeat ures", + "ch an", + "Ġdisc overed", + "Ġb order", + "Ġcrit ic", + "ĠJ un", + "ĠI v", + "Ġserv ices", + "ĠN ations", + "ĠG irl", + "Ġcl os", + "g u", + "ri age", + "Ġro ad", + "Ġn uc", + "ĠD ef", + "ĠP o", + "Ġd og", + "ĠC op", + "Ġl ower", + "ĠBel gian", + "r ay", + "Ġav ailable", + "in et", + "em ic", + "ĠS qu", + "20 11", + "ĠC amb", + "ĠN a", + "ĠJ oe", + "ĠDan iel", + "ĠS outhern", + "ĠReg ion", + "Ġran ge", + "Ġh app", + "ot al", + "ĠE nd", + "Ġcaus es", + "ĠAl bert", + "ĠSt at", + "il i", + "ĠAl ab", + "en ed", + "Ġmat ches", + "at ter", + "Ġkill ing", + "ĠF ort", + "Ġp oints", + "ĠScient ists", + "ĠL es", + "ag an", + "Ġc over", + "ĠE st", + "ĠW ater", + "rop olitan", + "Ġdesign ed", + "ĠD i", + "b ach", + "Ġsold iers", + "Ġb ass", + "ĠL ord", + "ĠW all", + "ĠB BC", + "ĠEU N", + "Ġintrod uced", + "ĠVict oria", + "w er", + "l as", + "ĠM en", + "ĠSw iss", + "ob ile", + "Ġcol on", + "ĠW at", + "he ad", + "k en", + "Ġrelig ious", + "ĠAlab ama", + "ĠE conom", + "Ġw ood", + "199 2", + "ourn ament", + "th ing", + "ĠK ong", + "ĠMar io", + "ĠAss embly", + "ic ine", + "enn a", + "ĠMus ical", + "ĠK ob", + "ĠC y", + "ipp i", + "ov ed", + "Ġreg ular", + "Ġschool s", + "ĠO f", + "ak h", + "act er", + "ĠEl st", + "Ġt old", + "Ġind ivid", + "ĠB on", + "ĠJ ones", + "op er", + "enn is", + "Ġs ister", + "ĠN ic", + "ĠP u", + "l ar", + "Ġdis estab", + "Ġd anc", + "ĠMiss iss", + "Ġbusiness man", + "ĠEntertain ment", + "w ell", + "il ies", + "Ġh ous", + "Ġscient ists", + "ĠR og", + "Ġst ories", + "F ran", + "l ines", + "Ġd ate", + "ĠPro d", + "and ing", + "ĠBav aria", + "ĠR om", + "Ġpr ed", + "d en", + "ĠMov ie", + "ĠMed al", + "Ġa stron", + "ict ional", + "Ġpart icip", + "ult ure", + "ĠBar b", + "ri k", + "Ġte xt", + "ĠBang l", + "ĠUE FA", + "Ġb ur", + "lic ations", + "in als", + "B S", + "is her", + "Ġmil es", + "0 4", + "Ġsp ort", + "b it", + "ĠTra ck", + "ĠM ir", + "Ġy oun", + "0 3", + "Ġg as", + "ĠV in", + "ian t", + ".. .", + "ĠM ot", + "itt ed", + "Ġdescrib ed", + "8 4", + "Ġstar ring", + "Ġbl ue", + "Ġsh ip", + "ic ed", + "ran ge", + "sel ves", + "om y", + "Ġcont ains", + "ĠN iger", + "ĠAl though", + "ĠHar ry", + "Ġinv est", + "Ġthem selves", + "Ġo bs", + "m as", + "stit ution", + "u ic", + "ĠC orn", + "ĠMus icians", + "Ġg ets", + "ĠO x", + "Ġg reen", + "Ġpresident ial", + "ĠB re", + "ĠKent ucky", + "Ġm iddle", + "in ary", + "Ġr ule", + "Ġhappen ed", + "Ġre b", + "Ġt ried", + "Ġ19 21", + "ug e", + "Ġte acher", + "ĠK en", + "Ġsh ot", + "Ġcl imate", + "ĠB h", + "ĠBl ue", + "Ġc ou", + "Ġinh abit", + "m ir", + "ĠAmerican s", + "Ġc ur", + "ĠInd ones", + "ĠOn t", + "end o", + "ĠPh ys", + "Ġt ax", + "Ġp en", + "ĠVal ley", + "ĠV en", + "Ġcol lege", + "r ad", + "Ġapp oint", + "7 3", + "ĠT H", + "ov ers", + "Ġe gg", + "Ġh tt", + "i i", + "ĠC her", + "Ġb ank", + "esse e", + "ph y", + "Ġvoc als", + "ĠR am", + "ĠSant a", + "ĠH or", + "Ġe as", + "ĠAl so", + "ĠL ar", + "ĠEliz abeth", + "h ib", + "Ġf oc", + "Ġpart icular", + "8 3", + "ĠWilliam s", + "ĠP ublic", + "up t", + "Ġcon str", + "ĠRev olution", + "on to", + "ie ce", + "ĠT ro", + "song writer", + "ĠL em", + "ĠMississ ippi", + "an ks", + "Ġa ud", + "Ġr ad", + "v ing", + "ĠB udd", + "el ly", + "ĠG ard", + "ĠTenn essee", + "Ġs ch", + "o id", + "0 1", + "Ġex cept", + "Ġmark et", + "Ġdistrib uted", + "em pt", + "Ġhum ans", + "Ġbeg inning", + "w ide", + "Ġc er", + "Ġoper a", + "ĠB et", + "Ġcommon ly", + "ĠL ine", + "Ġrom antic", + "ĠJ on", + "ĠOnt ario", + "ol es", + "ĠW ild", + "Ġlar ger", + "ala is", + "Ġcitiz ens", + "ĠR od", + "199 0", + "0 9", + "ĠC D", + "ĠM ore", + "ĠIn c", + "b ai", + "ĠH y", + "Ġsp eed", + "ĠArgent ine", + "Ġsur face", + "ĠPro t", + "ĠTe chn", + "ell ed", + "Ġch ampion", + "burg h", + "ĠAt t", + "our g", + "Ġsil ver", + "ph ia", + "in ct", + "ĠE ach", + "Ġh us", + "Ġbro ught", + "th rop", + "20 12", + "ann ed", + "oph y", + "Ġra in", + "ĠGall ery", + "Ġphilos opher", + "av en", + "Ġs n", + "Ġ19 18", + "Ġbel ong", + "Ġc ells", + "se x", + "av a", + "ist ry", + "Ġan g", + "is es", + "ĠNor way", + "in ks", + "ĠE ll", + "ĠS on", + "Ġits elf", + "Ġaut om", + "e z", + "ĠA zer", + "os ition", + "Ġb omb", + "Ġd ou", + "s k", + "Ġf act", + "Ġg rew", + "ĠGl ob", + "Ġis lands", + "ĠAl f", + "ĠF ound", + "ĠB us", + "ĠBel g", + "ĠB ack", + "Ġcre ate", + "Ġdiff icult", + "ent y", + "ĠT y", + "ĠD oug", + "ĠAn other", + "ĠB at", + "Ġown ed", + "ĠEduc ation", + "Ġn ort", + "ĠO tt", + "199 1", + "Ġl ength", + "ĠW inter", + "r ian", + "Ġra ised", + "ad er", + "Ġc ost", + "c ow", + "Ġf ast", + "Ġwinn er", + "Ġtrad itional", + "ĠD ie", + "Ġsome one", + "Ġsub ject", + "Ġrelations hip", + "ĠB ow", + "ĠF re", + "and y", + "ach ing", + "Ġs aw", + "it age", + "ĠJ es", + "ĠM ain", + "ĠOr ig", + "Ġfollow ed", + "Ġw ays", + "is a", + "Ġoffic er", + "Ġal though", + "Ġdiv ision", + "ar ter", + "Ġm erg", + "eder ation", + "Ġhe re", + "ĠCol or", + "ot e", + "im ent", + "ĠHum an", + "8 1", + "Ġvot e", + "ent ial", + "Ġreport ed", + "adel phia", + "Ġqu al", + "Ġwe ap", + "Ġhe avy", + "ĠT op", + "ĠG er", + "Ġbelie ve", + "f ile", + "d ess", + "ic y", + "h old", + "ĠL iber", + "pl oy", + ", \"", + "ĠSc ience", + "ĠTod ay", + "ĠC ensus", + "ĠAzer bai", + "ok en", + "ĠK im", + "Ġmed ical", + "N S", + "ĠUS A", + "b re", + "Ġtemper ature", + "int endo", + "ĠAr thur", + "Ġact ive", + "ĠB ell", + "ĠIndian a", + "or ary", + "Ġp age", + "Ġarrondiss ement", + "Ġnew s", + "Ġst e", + "Ġf arm", + "man n", + "ĠBill board", + "ĠObs erv", + "ĠS us", + "ĠAnd rew", + "Ġlead ing", + "ĠE th", + "A r", + "he t", + "Ġfe et", + "Ġcent re", + "Ġent ire", + "Ġsw im", + "av al", + "ĠA z", + "ef ul", + "rel ated", + "Ġd u", + "Ġd istricts", + "ur ies", + "air man", + "b ury", + "Ġclub s", + "ĠJan e", + "ĠF ire", + "vent ure", + "Ġhig her", + "Ġbl ock", + "a is", + "Ġ19 19", + "ĠW el", + "ĠFor ce", + "ĠAd d", + "Ġen vironment", + "d es", + "h y", + "Ġrul es", + "ĠU t", + "ab ility", + "ĠCast le", + "ett ing", + "7 1", + "ĠTurk ey", + "aly mp", + "ron ic", + "v ey", + "un a", + "Ġanim al", + "ĠV i", + "Ġold er", + "os h", + "Ġgen us", + "Ġdefe ated", + "ĠTor onto", + "ing u", + "Ġcompet ition", + "Ġh yd", + "ect s", + "ĠIsrael i", + "Ġd ark", + "ĠO per", + "ĠPar alymp", + "Ġc our", + "ĠC ard", + "ĠC ross", + "Ġhus band", + "ch ie", + "ĠK ir", + "Ġb rain", + "er o", + "ĠN intendo", + "mer c", + "Ġass ist", + "am in", + "Ġ7 5", + "Ġdisestab lishments", + "ĠAm b", + "F L", + "ĠCh ris", + "ree k", + "ĠA h", + "ĠPhil adelphia", + "Ġso on", + "ĠR aj", + "ut en", + "ap ore", + "Ġmag azine", + "Ġcommun es", + "ĠR adio", + "ĠPro fess", + "Ġmin or", + "Ġinhabit ants", + "l ad", + "le ctor", + "Ġfound er", + "T h", + "Ġengine er", + "Ġsec ret", + "Ġc art", + "Ġminist er", + "Ġk il", + "ĠSy stem", + "it ude", + "Ġfe el", + "ĠMos cow", + "p ar", + "198 9", + "ign ed", + "ĠL ady", + "Ġbig gest", + "l iga", + "20 17", + "u ese", + "ĠM id", + "ag er", + "Ġgovern or", + "ĠVietn am", + "Ġelect ions", + "Ġo il", + "ia c", + "ver t", + "ĠDire ctor", + "ĠT it", + "ĠF our", + "ic ated", + "ĠP it", + "Ġneed ed", + "ĠK OR", + "n ic", + "um s", + "Ġbir ds", + "ĠS el", + "ĠG re", + "ĠChampionship s", + "ĠN ik", + "Ġh ar", + "20 13", + "ear s", + "20 14", + "Ġdire ctors", + "n ed", + "y es", + "Ġquick ly", + "r ine", + "u an", + "ĠTh ree", + "we gian", + "ag a", + "ĠBro ok", + "Ġ3 5", + "ĠCon nect", + "Ġsp read", + "ĠB a", + "ĠL ind", + "und es", + "ĠVill ages", + "v in", + "Ġide as", + "ur i", + "Ġocc up", + "Ġag o", + "ĠP res", + "Ġv o", + "k h", + "Ġp ot", + "Ġm agn", + "ĠGree ce", + "Ġsex ual", + "ord ers", + "Ġaward s", + "S A", + "ĠP en", + "Ġf ly", + "Ġproduc ers", + "is hes", + "Ġin fect", + "ĠF ederal", + "ĠN ep", + "Ġmult iple", + "Ġes c", + "uct ed", + "ĠT ay", + "in em", + "ĠL ight", + "Ġrelig ion", + "z y", + "ren ce", + "Ġsug gest", + "l ast", + "ĠF inn", + "ĠDon ald", + "Ġcomed ian", + "c u", + "Ġphys ic", + "Ġg ives", + "ons in", + "ul pt", + "Ġreg ions", + "ir it", + "ĠM embers", + "Ġ8 5", + "Ġproble m", + "ĠStep hen", + "Ġthrough out", + "ro ke", + "ĠU l", + "ĠMar c", + "0 2", + "ĠB ank", + "ĠBelg ium", + "ed a", + "ĠCol omb", + "isc onsin", + "ĠH ard", + "em i", + "B A", + "ĠArk ansas", + "i ents", + "Ġsc ored", + "ĠS av", + "Ġsl ow", + "ĠPhilipp ines", + "ĠAr ts", + "Ġmy th", + "Ġcompos ers", + "ĠW ebsit", + "ĠC as", + "Ġv on", + "ĠComm ittee", + "ĠNor wegian", + "Ġre ason", + "ĠSl ov", + "ant asy", + "Ġprofess or", + "il ities", + "ĠP ost", + "ĠW isconsin", + "Ġ +", + "re al", + "ĠA ut", + "ant a", + "Ġh urricane", + "ĠN avy", + "Ġch o", + "Ġsk in", + "it i", + "ĠV ar", + "ĠInd epend", + "Ġofficial ly", + "Ġs ource", + "ĠSt r", + "C alais", + "Ġdestroy ed", + "Ġleg al", + "Ġs at", + "u ation", + "ĠPr incess", + "Ġr ivers", + "g n", + "te en", + "Ġse lected", + "Ġfam ilies", + "Ġpr ivate", + "Ġne igh", + "ĠL ew", + "ĠArgent ina", + "Ġ eth", + "Ġperforman ce", + "Ġk ept", + "Ġle ave", + "g han", + "ĠT ony", + "ĠB all", + "che stra", + "Ġc are", + "ĠL ive", + "el op", + "Ġorgan ization", + "Ġrun s", + "Ġleg isl", + "Ġc ode", + "ĠIn ternet", + "i ec", + "ĠMay or", + "k ins", + "Ġrun ning", + "Ġguitar ist", + "Ġf ederal", + "ĠUk raine", + "ĠMil itary", + "g ress", + "Ġbecom ing", + "Ġt ells", + "ĠN ap", + "ĠW ik", + "ĠTurk ish", + "Ġdeg ree", + "ĠB ol", + "out heast", + "ĠF a", + "und red", + "ric s", + "em y", + "Ġfl ag", + "ut ions", + "m ad", + "ik h", + "Ġterm s", + "h ire", + "ĠP ier", + "ay ashi", + "ĠK han", + "Ġresp ons", + "Ġh ours", + "ĠB ah", + "ist ic", + "Ġass oci", + "ĠSy d", + "ĠM ur", + "A l", + "ĠA le", + "ĠT imes", + "Ġ19 17", + "Ġcont ract", + "Ġt able", + "ĠAn cient", + "Ġtr ue", + "Ġappoint ed", + "ĠAs h", + "Ġbel ow", + "Ġwrit e", + "ĠS ab", + "ĠS ev", + "Ġas ked", + "Ġj azz", + "ĠComm ission", + "Ġb ron", + "ĠM as", + "Ġac cept", + "ou ch", + "ĠT s", + "ĠSt ory", + "ĠF estival", + "8 2", + "as ion", + "Ġsur round", + "ĠD eb", + "le ep", + "ĠTH M", + "Ġb illion", + "Ġsy n", + "anche ster", + "g a", + "ĠUnd er", + "ĠPerson al", + "Ġ190 1", + "ic ation", + "M ar", + "er ve", + "Ġ19 10", + "ĠCom mon", + "Ġstart ing", + "Ġs af", + "ĠD ou", + "re ady", + "Ġpr int", + "Ġex ecutive", + "ĠPortug al", + "ĠGram my", + "Ġwho le", + "Ġ8 7", + "ĠS ometimes", + "Ġocc ur", + "ĠJew s", + "ĠW inn", + "Ġsoft ware", + "ĠStan ley", + "ĠS ax", + "olog ists", + "Ġf ought", + "ĠP un", + "F C", + "im s", + "ĠK an", + "k ey", + "ĠN atural", + "Ġqu est", + "198 7", + "ĠSing apore", + "Ġtran sport", + "Ġbeh ind", + "Ġb urn", + "ĠG reg", + "Ġmus eum", + "he w", + "ian g", + "20 15", + "ĠI ra", + "ĠH ong", + "Ġl ines", + "Ġsqu are", + "on ne", + "eb ec", + "anc y", + "ĠSer b", + "Ġv an", + "Ġac cess", + "Ġin st", + "ĠN etwork", + "vent ion", + "S er", + "ĠS n", + "Ġsp oken", + "Ġp il", + "ĠK r", + "ĠAf ghan", + "Ġter ritory", + "s s", + "Ġsing les", + "ĠR ap", + "ĠD ak", + "ip e", + "ĠHung arian", + "Ġs elf", + "ĠV ideo", + "Ġt ournament", + "ĠBuild ings", + "ĠW eb", + "ra p", + "ĠM ike", + "Ġw eb", + "Ġpo or", + "ĠM un", + "ĠCent ury", + "ĠCons erv", + "ct ions", + "ĠG ab", + "Ġbeh av", + "Ġdam age", + "Ġindust ry", + "Ġo p", + "ail s", + "ĠIslam ic", + "ĠH ome", + "Ġl y", + "ĠW olf", + "Ġinvol ved", + "d ied", + "ĠP remier", + "r ated", + "Ġread ing", + "ĠL ike", + "ĠB oth", + "ĠN ow", + "Ġlet ter", + "Ġmet ers", + "ĠSing ers", + "i ot", + "Ġv eh", + "and ed", + "le m", + "Ġgener ally", + "Ġprob ably", + "u ctor", + "ĠV ice", + "merc ial", + "ĠSyd ney", + "ĠN HL", + "ĠR et", + "v is", + "end ar", + "Ġass ociation", + "Ġ4 5", + "Ġdoc ument", + "all ed", + "ict ure", + "ĠD omin", + "Ġpart ies", + "ipl om", + "ĠD own", + "u v", + "Ġof fer", + "Ġ5 00", + "ĠWil son", + "or ter", + "Ġtr ade", + "Ġcele br", + "ov ery", + "Ġ8 4", + "k er", + "ro it", + "ĠS und", + "ĠL or", + "ĠQue ens", + "ĠT em", + "ĠH art", + "Ġadd ition", + "k ing", + "com p", + "in y", + "ict ed", + "Ġrul ed", + "reed om", + "Ġ7 7", + "Ġ6 4", + "ĠSen ator", + "ript ion", + "ĠK y", + "ĠIran ian", + "se y", + "od ies", + "Ġhistor ical", + "Ġcol lection", + "k in", + "Ġpl at", + "ĠAl bum", + "ug g", + "A n", + "Ġfif th", + "ĠL en", + "ne um", + "ĠFin land", + "uic ide", + "inc ip", + "Ġt all", + "Ġar m", + "Ġt aking", + "Ġp ers", + "Ġsp ent", + "Ġmar riage", + "ĠR em", + "ĠL ibrary", + "ĠPortug uese", + "Ġnewsp aper", + "ĠJes us", + "Ġc overed", + "ĠH aut", + "Ġsc ulpt", + "ĠCh annel", + "ĠMic ro", + "Ġp and", + "ĠB alt", + "Ġs ummer", + "ad ed", + "ĠO pen", + "Ġb ase", + "Ġst ep", + "ĠHe art", + "Ġch ief", + "Ġch annel", + "it ation", + "ath an", + "ĠB and", + "Ġl ung", + "ĠN ar", + "Ġn eg", + "ĠT ai", + "Ġh op", + "Ġle tt", + "ĠServ ice", + "en ces", + "ĠB erg", + "Ġal ready", + "Ġthr iller", + "ĠP ower", + "Ġinter view", + "Ġw ide", + "ĠF il", + "Ġ6 5", + "ĠChrist mas", + "Ġatt ract", + "20 19", + "198 8", + "ĠBro ad", + "ĠJust ice", + "u ay", + "ĠCro at", + "Ġf ru", + "Ġd ance", + "ann a", + "Ġde ep", + "Ġr ather", + "orpor ated", + "Ġad op", + "ic ut", + "ĠN ag", + "Ġsch ol", + "ĠK az", + "ĠAn th", + "ĠWal ter", + "il ton", + "Ġl og", + "ell o", + "e es", + "Ġturn ed", + "a o", + "h ol", + "Ġact ing", + "ran g", + "Ġpower ful", + "ĠO t", + "ed d", + "Ġconstit u", + "Ġle aves", + "pp ed", + "Ġstop ped", + "uk i", + "Ġbeg ins", + "ĠA ff", + "T otal", + "w ater", + "ĠF ore", + "Ġ( ),", + "ĠDen mark", + "Ġsymb ol", + "Ġm ole", + "ĠObserv atory", + "ĠP ot", + "enc ies", + "ĠHe alth", + "if ican", + "Ġrail way", + "h o", + "Ġth ous", + "ĠStev e", + "em an", + "ik a", + "l it", + "v i", + "Ġ19 14", + "Ġmanag ers", + "f ort", + "ĠM anchester", + "Ġpass ed", + "Ġf uture", + "st an", + "ĠAir lines", + ") ;", + "ĠSt ock", + "ab y", + "Ġy ellow", + "E E", + "T A", + "ĠR ac", + "Ġro w", + "ĠBangl adesh", + "Ġt al", + "ĠAn ne", + "Ġatt empt", + "Ġfor e", + "ĠCl ark", + "Ġnorm al", + "Ġd raw", + "Ġtre es", + "Ġp aper", + "Ġn ine", + "Ġad ult", + "er al", + "al ign", + "Ġfun ction", + "ĠC oll", + "Ġin s", + "ce ed", + "al ia", + "Ġpur p", + "ĠAb b", + "Ġn ative", + "Ġtro ops", + "ĠBook s", + "ĠL oc", + "ric e", + "au x", + "ĠTay lor", + "iec es", + "Ġp ick", + "ĠN ev", + "ĠLo ire", + "Ġfor ced", + "Ġ8 6", + "Ġund erst", + "Ġwh ose", + "ĠDak ota", + "am ber", + "ĠSup reme", + "Ġpand emic", + "rog en", + "L e", + "ĠK ings", + "Ġ3 2", + "ĠTran s", + "l s", + "ĠM oh", + "os es", + "ee ch", + "ĠH ay", + "ab les", + "Ġbron ze", + "ĠPl an", + "ĠCo ast", + "ĠOx ford", + "ĠMary land", + "ĠWebsit e", + "Ġstart s", + "D on", + "h ouse", + "ors hip", + "ĠEv ents", + "20 16", + "ar o", + "ĠI ce", + "ĠVi enna", + "ĠKob ayashi", + "ĠTran sport", + "Ġstand ard", + "ĠA riz", + "Ġed itor", + "l ight", + "ap ers", + "ĠConnect icut", + "ens ion", + "ash ion", + "|||||||| ||", + "ĠSpec ial", + "ie uten", + "amp les", + "Ġcont roll", + "m et", + "te xt", + "r im", + "Ġto wards", + "ĠH an", + "Ġacc ording", + "S C", + "Ġstruct ure", + "Ġprim ary", + "Ġpl aced", + "uf act", + "Ġsupport ed", + "ĠC reek", + "Ġdr iver", + "undes liga", + "w ick", + "Ġelect r", + "ĠAb d", + "Ġhistor ian", + "Ġgod dess", + "Ġe lements", + "Ġsepar ate", + "Ġy our", + "Ġscreen writer", + "Ġconf ir", + "Ġc ut", + "um ber", + "Ġ7 8", + "hed ral", + "Ġstud ies", + "ĠLaw rence", + "ĠAriz ona", + "ĠL im", + "ĠK am", + "ĠPolit ical", + "Ġun its", + "rain ian", + "Ġw eak", + "Ġen c", + "urb an", + "ĠC urrent", + "Ġreview s", + "ly n", + "le an", + "Ġmerg ed", + "Ġwrest ler", + "or i", + "u j", + "at ers", + "ĠCan cer", + "Ġfeat ured", + "Ġindepend ence", + "Ġb al", + "ĠWh at", + "ww w", + "Ġg un", + "Ġro y", + "Ġd iss", + "we ight", + "al o", + "Ġ7 9", + "S h", + "ĠD am", + "ĠBr idge", + "ley ball", + "Ġsoc iety", + "ad os", + "ĠH amp", + "ĠDet roit", + "p ro", + "Ġcomp lex", + "Ġme ant", + "Ġadminist rative", + "Ġin sp", + "ĠRoman ia", + "ol is", + "Ġed ition", + "ĠK at", + "ĠMar sh", + "ĠColor ado", + "Ġ19 12", + "ug by", + "per ial", + "Ġar g", + "orn ing", + "Ġevent ually", + "Ġkil omet", + "ĠC ur", + "Ġcandid ate", + "Ġattack s", + "Ġmedal ists", + "ĠIra q", + "ĠC hem", + "ĠD ream", + "Ġcar ry", + "u y", + "ard o", + "ĠMunicipal ity", + "neum onia", + "Ġem ploy", + "ene z", + "ĠK al", + "ĠK er", + "b l", + "Ġkind s", + "ĠD un", + "Ġmin utes", + "Ġm ic", + "Ġmay or", + "l an", + "ĠSh in", + "198 3", + "ĠMod ern", + "Ġlaun ched", + "or ation", + "Ġd en", + "p ing", + "ĠC ost", + "ĠAd minist", + "Ġair port", + "ĠL ast", + "Ġg etting", + "Ġmot or", + "Ġn ick", + "ĠF ree", + "ĠO d", + "ĠJoh ann", + "ĠEgypt ian", + "Ġrepresent ed", + "u h", + "ang a", + "Ġearl ier", + "Ġl ake", + "Ġc lear", + "Ġtechn ology", + "ĠD or", + "198 6", + "Ġactiv ists", + "ĠSe ason", + "Ġvis it", + "Ġwee ks", + "le ph", + "bour ne", + "ĠNep al", + "ell ig", + "Ġcomp ut", + "ĠC irc", + "ieuten ant", + "n o", + "us p", + "Ġde al", + "Ġegg s", + "is ation", + "ĠH urricane", + "ĠM AS", + "Ġlist ed", + "se ct", + "Ġchar ge", + "ap ed", + "iz umi", + "ĠS her", + "us c", + "Ġn ar", + "A F", + "ĠR ang", + "ĠSt orm", + "col n", + "ĠHol ly", + "St ation", + "r ig", + "ar es", + "Ġm er", + "Ġcar bon", + "ĠMet ropolitan", + "Ġhor ror", + "t ies", + "ĠB os", + "Ġst adium", + "b ox", + "Ġpos itive", + "art ers", + "Ġd om", + "orpor ation", + "u i", + "ident s", + "tern al", + "l ov", + "ĠB ull", + "Ġfight ing", + "Ġrac ing", + "ĠC ab", + "w orth", + "ist ance", + "Ġorgan izations", + "ĠLem mon", + "Ġd iplom", + "ig en", + "Ġt ell", + "ch ange", + "ĠE ag", + "ĠPresident s", + "ĠAzerbai jan", + "ĠW alk", + "ut her", + "eng ers", + "ĠBul g", + "198 5", + "Ġfig ure", + "in ated", + "Ġf av", + "ĠEr n", + "ĠE ven", + "Ġsign ifican", + "ĠRes earch", + "Ġeconom ic", + "Ġb us", + "en burg", + "Ġe lev", + "Ġmix ed", + "Ġshow ed", + "ĠJ ord", + "ĠF ord", + "qu es", + "Ġ9 5", + "ĠTr ump", + "ĠBe at", + "Ġme chan", + "ĠT ar", + "Ġ era", + "20 18", + "ĠOff ice", + "ĠG il", + "Ġnort heast", + "Ġp neumonia", + "ĠHer itage", + "Ġcrick et", + "Ġb ridge", + "ĠFred er", + "Ġcompos ed", + "Ġn ature", + "Ġsong writer", + "os en", + "so ft", + "ĠFound ation", + "ĠLin coln", + "ok a", + "Ġf oss", + "ĠT ropical", + "Ġpre m", + "Ġmount ains", + "Ġfre qu", + "ect ion", + "Ġfl ight", + "ĠT an", + "Ġart icle", + "Ġpress ure", + "Ġcol lect", + "Ġ19 16", + "Ġ emb", + "Ġ1 20", + "ren g", + "Ġmov ing", + "or er", + "ist a", + "Ġab s", + "Ġun it", + "1 00", + "ĠFl ight", + "Ġliter ature", + "n s", + "ĠF air", + "ĠCon stitution", + "ĠCent re", + "ĠI V", + "ĠUk rainian", + "Ġp iece", + "ĠForm ula", + "us ion", + "og y", + "Ġo ur", + "ion e", + "Ġ7 4", + "Ġh undred", + "ast ers", + "Ġunivers ities", + "ĠDoug las", + "ĠR oll", + "ĠRail way", + "Ġw alk", + "Ġp ian", + "ĠR oss", + "' .", + "and o", + "d istrict", + "Ġw ear", + "Ġcomp ounds", + "ĠT ak", + "ĠD og", + "Ġnuc lear", + "Ġf urther", + "ress ed", + "ĠY e", + "ar ing", + "Ġcomp lications", + "L a", + "Ġst roke", + "Ġstar red", + "Ġc old", + "ĠD anish", + "Ġcont rib", + "ĠPlay Station", + "Ġp eak", + "ĠFranc is", + "m ore", + "ann ing", + "Ġhtt p", + "Ġfore ign", + "v o", + "ĠM aine", + "ĠH ans", + "v est", + "Ġ x", + "5 00", + "ĠBr ian", + "reg on", + "as ing", + "in osaur", + "Ġp ri", + "Ġm ess", + "Ġl oss", + "Ġre ign", + "A t", + "ĠA qu", + "p son", + "Ġ3 4", + "Ġappear ance", + "is k", + "ail y", + "ĠBas eball", + "o a", + "ĠEx p", + "ĠVict or", + "Ġ5 7", + "Ġlist ing", + "Ġn ation", + "ĠBusiness people", + "ĠMount ains", + "Ġf oot", + "Ġd ro", + "Ġf ace", + "Ġdo ctor", + "ĠB ird", + "Ġpl ane", + "Ġcr im", + "Ġvers ions", + "ian ce", + "ĠY our", + "Ġ19 15", + "Ġnear ly", + "Ġ19 13", + "Ġmach ine", + "V D", + "en z", + "ill ed", + "ĠMP s", + "f all", + "Ġa p", + "Ġan al", + "ĠTai wan", + "Ġsh ape", + "ĠCount ry", + "ĠMar ie", + "E F", + "if orm", + "Ġrecord s", + "ĠAr m", + "ast ic", + "Ġsim ply", + "Ġ3 3", + "Y G", + "rat or", + "Ġwe ight", + "ĠMad rid", + "Ġc ust", + "Ġp un", + "Ġlett ers", + "Ġt ennis", + "Ġcl osed", + "Ġplan et", + "198 0", + "ĠHol y", + "S p", + "ĠN ative", + "Ġ8 3", + "Ġworld wide", + "Ġ7 6", + "ĠO regon", + "c hen", + "Ġex ec", + "ĠN AS", + "ĠT al", + "ĠM oon", + "itt ing", + "ĠDev elop", + "ul ly", + "Ġcom mercial", + "ĠTer ritory", + "ĠEver y", + "ĠOn ly", + "Ġet c", + "Ġd on", + "Ġcomplet ed", + "f ore", + "f ound", + "Ġd ie", + "Ġon line", + "og ne", + "ell er", + "d am", + "Ġa chie", + "ib b", + "Ġd anger", + "ĠH ug", + "ĠD er", + "ĠAl i", + "umn i", + "u ro", + "oth ing", + "ĠMinist ers", + "Ġchart s", + "Ġd ynasty", + "Ġrecord ing", + "Ġ190 8", + "Ġ19 11", + "ĠHung ary", + "ĠM and", + "Ġwh y", + "L A", + "ĠH om", + "197 9", + "ro ad", + "198 4", + "ĠW alt", + "Ġ4 8", + "Ġbro wn", + "iqu es", + "Ġan cest", + "Ġlik ely", + "Ġhous es", + "Ġ9 3", + "Ser ie", + "Ġor d", + "Ġmajor ity", + "Ġb ring", + "Ġp al", + "Ġbe aut", + "Ġprod uce", + "Ġphysic ist", + "Ġval ue", + "ĠSt one", + "Ġcomp lete", + "s ky", + "os is", + "Ġrem oved", + "ell i", + "ĠH YG", + "Ġmon arch", + "Ġb acter", + "ĠG ord", + "ĠV enez", + "ĠCh ap", + "Ġac id", + "ĠR en", + "u als", + "ĠLew is", + "he astern", + "Ġproduct s", + "Ġs usp", + "Ġ8 1", + "Ġ3 6", + "c ar", + "Ġl ay", + "Ġsh ips", + "ys is", + "ĠMic hel", + "ĠKenn edy", + "ĠBro ther", + "ig e", + "c oh", + "Ġappear s", + "Ġresp ect", + "ĠL iga", + "os ing", + "yp e", + "Ġtrain ing", + "at ures", + "up p", + "198 1", + "Ġb ranch", + "b gcolor", + "ĠH ills", + "we et", + "re ct", + "Ġpar liament", + "ĠB ush", + "Ġk id", + "ĠSt and", + "Ġdist ance", + "p ite", + "Ġh air", + "ĠW in", + "Ġ ess", + "Ġstud ent", + "ĠK l", + "Ġdo ing", + "ĠDep uty", + "Ġeffect s", + "ĠHind u", + "ĠP ass", + "Ġsim ple", + "Ġhead qu", + "d a", + "Ġth reat", + "Ġphys ical", + "Ġking dom", + "ĠPat rick", + "Ġwid ely", + "est er", + "ph ab", + "Ġfa ctor", + "Ġant i", + "ĠHe ad", + "Ġrefer red", + "Ġf olk", + "ĠJ enn", + "Ġun ion", + "ĠWel sh", + "ĠAfghan istan", + "Ġp ieces", + "ĠV lad", + "ĠY am", + "Ġearth qu", + "z burg", + "ĠConf erence", + "ĠK elly", + "Ġr ing", + "Ġal tern", + "Ġend s", + "led ge", + "ch a", + "ateg ory", + "ĠSh ar", + "Ġnick n", + "Ġd ial", + "ĠK le", + "ĠAd am", + "ĠEx t", + "o en", + "ĠD ark", + "Ġim m", + "oc a", + "Ġbe at", + "Ġfl ows", + "ĠBe ach", + "Ġstat us", + "cept ion", + "Ġhe at", + "ĠHaw ai", + "Ġdec l", + "Ġmathemat ician", + "n ers", + "Ġw ild", + "ing en", + "Ġup on", + "Ġcop ies", + "ĠP ur", + "ĠAl an", + "Ġw or", + "Ġscient ist", + "Ġcon fl", + "Ġcond itions", + "if ul", + "iz es", + "row s", + "ĠQu ebec", + "ĠJ am", + "Ġcrit ics", + "Ġ9 1", + "Ġprov inces", + "b ased", + "Ġt aught", + "Ġs uicide", + "ĠP ic", + "al ed", + "t own", + "ch i", + "Ġfilm s", + "ĠAnth ony", + "ĠS ever", + "Ġ8 9", + "ĠBr ad", + "Ġc ars", + "Ġf und", + "ĠG i", + "Ġacc ount", + "Ġc ouncil", + "z en", + "ĠMicro soft", + "Ġp iano", + "ĠIn f", + "rov ers", + "ex ual", + "ĠMont real", + "ot te", + "Ġcommun ities", + "Ġdr ink", + "ĠH ou", + "Ġro om", + "ĠBudd h", + "ĠB urn", + "ĠChrist opher", + "ĠT ag", + "b ook", + "ĠB ros", + "ĠF ederation", + "Ġweap ons", + "ĠAnd re", + "j e", + "Ġch ampions", + "amm als", + "ĠDes ert", + "Ġh ol", + "R hin", + "Ġb ott", + "Ġact ually", + "b i", + "le ts", + "ĠR ad", + "ig g", + "Ġs al", + "Ġrem ains", + "Ġre ach", + "Ġre ve", + "Ġmeas ure", + "lev eland", + "cel ona", + "d y", + "Ġm ission", + "ĠK or", + "Ġperson ality", + "Ġdiv or", + "ĠCh ampions", + "ond e", + "ĠZ h", + "Ġcont est", + "ĠC ra", + "Ġprogram ming", + "ĠMed ia", + "f eld", + "on ic", + "ĠS ri", + "av er", + "ĠEm my", + "ĠOlymp ians", + "Ġbur ied", + "it ter", + "Ġlab el", + "e en", + "cy cl", + "198 2", + "Ġindivid ual", + "ee k", + "ĠWh o", + "Ġgreat est", + "ar us", + "Ġdis p", + "ĠFinn ish", + "ĠB oard", + "ĠG ir", + "ĠMount ain", + "ĠH o", + "ĠF rog", + "th a", + "ĠPar ish", + "ĠB eng", + "ĠN at", + "ĠSt ra", + "Ġobject s", + "ĠCamb ridge", + "ĠJord an", + "i at", + "ĠF r", + "ia b", + "ĠAn na", + "d orf", + "on om", + "Ġent ertain", + "j ab", + "w right", + "ĠL ower", + "ĠK ash", + "r ison", + "ĠBr uce", + "Ġ3 8", + "Ġman ufact", + "ĠT un", + "Ġpre vent", + "ĠAlf red", + "Ġb ought", + "Ġe yes", + "ĠV ik", + "ĠR io", + "Ġcom une", + "ond s", + "Ġ9 2", + "Ġyoun ger", + "ĠD a", + "ĠO izumi", + "ĠAlex and", + "en ger", + "Ġ8 2", + "Ġtem p", + "I A", + "ĠR a", + "Ġconfir med", + "u ly", + "Ġst reng", + "Ġent ered", + "Ġattack ed", + "oun ter", + "Ġ5 5", + "ĠEar l", + "Ġf le", + "im ated", + "res h", + "Ġ3 7", + "orn ey", + "Ġnear by", + "es h", + "n el", + "ĠD om", + "ĠA th", + "Ġmyth ology", + "iv ity", + "Ġcom ic", + "er to", + "Ġs un", + "Ġfl ood", + "g al", + "ig r", + "Ġsup p", + "Ġin sect", + "Ġp oll", + "ĠT reat", + "st one", + "le ges", + "ĠP ap", + "ult ural", + "Ġsol o", + "Ġd ry", + "ick s", + "ĠMal ays", + "ĠD al", + "ĠSt ation", + "y gen", + "ĠVenez uel", + "Ġf ictional", + "all as", + "Ġe lement", + "Ġse ction", + "ĠI c", + "ĠJu an", + "ĠPhil ip", + "ĠM aur", + "Ġn ob", + "Ġiss ues", + "ograph ic", + "Ġcal endar", + "Ġinflu ence", + "ri er", + "Ġ9 4", + "Ġneed s", + "ĠYou T", + "ĠAnton io", + "ĠTam il", + "ĠKar l", + "iv a", + "ĠDo ctor", + "Ġgradu ated", + "Ġl iqu", + "ĠPol ice", + "for mer", + "Ġcer em", + "Ġun known", + "Ġwe ather", + "ĠParalymp ics", + "Ġtw ice", + "Ġhelp s", + "Ġcult ural", + "Ġinvest ig", + "ac c", + "A lp", + "Ġwhe ther", + "ĠM aster", + "Ġall ows", + "Ġfe ature", + "ĠHow ard", + "u ins", + "ĠIndones ia", + "Ġf r", + "in th", + "ol as", + "ĠB ible", + "ĠWar ner", + "ĠK ey", + "ens ity", + "ad ing", + "Ġcons erv", + "Ġeconom y", + "ĠO ak", + "ĠCh art", + "- -", + "B l", + "Ġcr as", + "anc ed", + "anc ial", + "ĠL iter", + "ĠDevelop ment", + "ĠEng ine", + "e k", + "Ġte en", + "ĠAr n", + "Ġh unt", + "os lav", + "ĠA ge", + "Ġd ies", + "Ġ6 6", + "Ġf antasy", + "Ġch osen", + "ĠI l", + "Ġ4 4", + "ĠLab our", + "a ult", + "Ġd a", + "Ġc red", + "ĠR ivers", + "Ġref ers", + "ĠUt ah", + "ol ved", + "ĠF inal", + "197 7", + "ĠR ose", + "ĠV ers", + "ĠAl aska", + "Ġcons ist", + "uct ions", + "Ġev olution", + "ĠAre a", + "ĠP y", + "ĠD ise", + "em en", + "ac he", + "eg et", + "ĠDav is", + "s ince", + "ĠI S", + "Ġg al", + "Ġair ed", + "ĠIv an", + "Ġsignifican t", + "it als", + "Ġ6 7", + "ograph ical", + "Ġtry ing", + "ĠS iding", + "Ġhe ro", + "ĠD C", + "Ġr at", + "ĠT est", + "ond er", + "Ġpolit ics", + "Ġsay ing", + "Ġran ked", + "Ġc ook", + "ĠV o", + "Ġr ate", + "Ġ6 8", + "Ġag re", + "Ġsequ el", + "en h", + "Ġcom ment", + "ĠPal ace", + "Ġon es", + "Ġem erg", + "Ġm ention", + "ĠC art", + "el ine", + "Ġcont ain", + "Ġhapp ens", + "ĠFore ign", + "ĠC E", + "Ġsc ore", + "Ġgra ph", + "on se", + "med i", + "C om", + "Ġ6 9", + "Ġtrad ition", + "Ġarrest ed", + "l ong", + "er ved", + "ĠF ield", + "Ġs ides", + "Ġad venture", + "Ġev idence", + "Ġl if", + "Ġ7 3", + "Ġfl u", + "ĠProfess or", + "et y", + "ĠRe al", + "\" ).", + "r upt", + "Ġs ail", + "Ġcre w", + "Ġbel ief", + "eg a", + "Ġpr ime", + "Ġtra ins", + "Ġbu y", + "ĠConf eder", + "ĠK ev", + "Ġeas ily", + "i op", + "ip ur", + "ĠAll en", + "ĠA is", + "ĠThe atre", + "c ont", + "Ġapp l", + "lector al", + "ĠH it", + "Ġear ned", + "i ya", + "ĠW y", + "Ġro b", + "wh ich", + "g or", + "ĠL ux", + "Ġem peror", + "ĠRon ald", + "ĠChild ren", + "ol i", + "ot hes", + "Ġimp ro", + "Ġill ust", + "Ġpaint ing", + "Ġs urg", + "d ie", + "I S", + "ĠF urther", + "p a", + "ĠC orporation", + "o ons", + "ĠS ix", + "im ore", + "Ġw inter", + "Ġfor est", + "r ong", + "ĠJ ay", + "Ġrec ent", + "Ġreg ard", + "alt y", + "Ġactiv ities", + "ec ess", + "ĠPu erto", + "ĠC re", + "ĠL eb", + "ĠE sp", + "ĠH un", + "ign ated", + "ĠLab or", + "ĠJ ournal", + "ĠAd ams", + "ĠRog er", + "Ġm ill", + "phab et", + "C D", + "ĠPro ject", + "ĠSim on", + "ĠDisc ography", + "Ġath let", + "Ġequ al", + "Ġroy al", + "Ġst ream", + "Ġdet erm", + "Ġdou ble", + "Alp es", + "Ġc overs", + "ik i", + "Ġg iving", + "Ġpro te", + "Ġrem ained", + "ĠNaz i", + "ĠC ook", + "Ġcons ists", + "ĠMil an", + "p ool", + "Ġl ink", + "ab ad", + "Ġsp lit", + "Ġem p", + "Ġproper ty", + "Ġpe ace", + "ĠPit ts", + "Ġc am", + "ĠT el", + "ĠPal est", + "Ġspec ific", + "ĠAr d", + "Ġ190 9", + "ĠMar gar", + "Ġsp eech", + "ĠArmen ian", + "ant e", + "Ġ4 7", + "ark s", + "ock s", + "Ġdefe at", + "ĠL ank", + "ĠMar s", + "Ġconstr uction", + "' '", + "I T", + "ism s", + "ĠF ern", + "im ately", + "Ġplat form", + "Ġ3 9", + "iz ing", + "Ġconc ert", + "g ers", + "ĠInd ust", + "ĠB art", + "Ġwork ers", + "Ġath lete", + "Ġ190 7", + "ĠUp per", + "d own", + "ĠS ud", + "uc ks", + "cul es", + "Ġ9 6", + "Ġdrug s", + "m ont", + "Ġb att", + "osaur us", + "Ġassoci ated", + "mp t", + "ĠPun jab", + "Ġcapt ured", + "ĠT en", + "II I", + "Ġf ashion", + "ĠB illy", + "Ġdecl ared", + "o ir", + "or ing", + "ĠGu ard", + "cher s", + "ra c", + "b o", + "Ġcon qu", + "ĠBar celona", + "ik o", + "Ġf eed", + "ĠR ey", + "ĠRoman ian", + "Ġleg s", + "Ġcond uctor", + "ĠCap tain", + "Ġfrog s", + "ĠS ources", + "ĠA st", + "Ġup per", + "At l", + "ĠM ap", + "ĠK on", + "Ġcr ash", + "c ano", + "ing ham", + "Ġth ing", + "n i", + "ĠS ite", + "Ġscient ific", + "Ġre asons", + "Ġrecogn ized", + "ic ations", + "oc ol", + "Ġbir d", + "ĠR ub", + "ĠPri x", + "al em", + "ĠDe ad", + "ĠMel bourne", + "Ġpract ice", + "ĠB ishop", + "im ir", + "197 4", + "Ġo pt", + "ri ef", + "ĠSh ah", + "Ġw ants", + "ĠV as", + "Ġserv ing", + "E R", + "z h", + "Ġlevel s", + "v ard", + "ur ches", + "ĠGu ine", + "Ġconnect ed", + "ĠHamp shire", + "Ġrespons ible", + "Ġthe atre", + "Ġb odies", + "Ġcent uries", + "M an", + "o es", + "ar ily", + "Ġr ich", + "ry st", + "Ġs outheast", + "Ġex act", + "cycl op", + "at ar", + "ĠE cu", + "ĠAis ne", + "rod uction", + "Ġacadem ic", + "Ġrap per", + "at in", + "Ġinstr ument", + "Ġassist ant", + "ĠD ynasty", + "Ġv s", + "ĠCommun ity", + "r m", + "Ġmet res", + "on ent", + "ĠN on", + "ĠE ric", + "os a", + "Ġlook s", + "ĠA y", + "ĠT urn", + "Ġfl ow", + "i ology", + "ĠD ick", + "aw n", + "ĠLa ur", + "Ġtreat ment", + "ĠKev in", + "ĠPe ace", + "197 3", + "Ġter rit", + "Ġjud ge", + "ĠK it", + "Ġ190 6", + "ĠMem orial", + "des ignated", + "Ġvot es", + "ĠO p", + "Ġown er", + "Ġval ley", + "os hi", + "ins ula", + "Ġal coh", + "ke ep", + "Ġopen ing", + "Ġdi agn", + "ĠM ill", + "id el", + "Ġfor t", + "re ll", + "Ġpro file", + "Ġpar ish", + "Ġinstr uments", + "s a", + "ĠEx amples", + "Ġloc ation", + "ĠHou ston", + "n et", + "ĠH u", + "Ġper cent", + "Ġlong est", + "197 6", + "ĠJim my", + "erg round", + "ĠHam ilton", + "ĠFrank lin", + "Ġprevious ly", + "Ġj ump", + "ĠMu ham", + "ann y", + "Ġpaint ings", + "ĠD h", + "h att", + "ĠD ig", + "ĠV erm", + "ĠPers ian", + "Ġvict ory", + "Ġ1 21", + "Ġcre ation", + "Ġdirect ly", + "ĠC leveland", + "ĠSc iences", + "ĠAff airs", + "Ġnum er", + "m es", + "Ġle aving", + "Ġ15 0", + "Ġpre c", + "ĠB ib", + "Ġoper ating", + "Ġgl ob", + "ĠM AR", + "Ġre ally", + "Ġengine ering", + "Ġ3 00", + "Ġse vent", + "ĠD NA", + "Ġal t", + "yn am", + "Ġ urban", + "ebr aska", + "Ġbas ic", + "m outh", + "m ission", + "k m", + "l ay", + "ĠHar ris", + "ĠN ich", + "|||| ||", + "ĠApp le", + "ĠR ick", + "Ġ18 90", + "Ġgod s", + "g et", + "Ġmiss ing", + "Ġfru it", + "Ġ que", + "ĠF all", + "ĠSh ort", + "ĠBr and", + "ĠC er", + "Ġ9 7", + "197 8", + "Ġc ab", + "ch t", + "Ġst ra", + "ub lish", + "ĠF le", + "Ġ190 5", + "ĠIc eland", + "Ġ5 4", + "ib a", + "Ġlim ited", + "p ut", + "if er", + "ev a", + "Ġst ore", + "ĠB ry", + "Ġqu ite", + "20 20", + "hen s", + "Ġ190 3", + "f ish", + "Ġsuc ceed", + "Ġfl at", + "se qu", + "Ġ9 8", + "ĠCap e", + "ĠAtl anta", + "Ġ iron", + "Ġkey board", + "ĠTe h", + "ĠGord on", + "N ew", + "ĠBalt imore", + "ĠS id", + "Ġf ix", + "ĠN am", + "ĠN orm", + "ĠCam er", + "h at", + "j o", + "Ġp aid", + "Ġm aster", + "ĠI mp", + "Ġtrans fer", + "Ġadop ted", + "b ed", + "ĠS ound", + "ĠR ot", + "ĠSqu are", + "ĠEcu ador", + "ĠF riend", + "ag en", + "Ġex c", + "oy d", + "ĠM ember", + "Ġback ground", + "Ġrest aur", + "id en", + "Ġwrest ling", + "ellig ence", + "ĠH i", + "Ġter ror", + "ĠL ow", + "ak ers", + "ĠCal v", + "Ġprov ide", + "ĠGlob e", + "Ġf estival", + "ĠB oe", + "und er", + "k ov", + "Ġjournal ists", + "ĠFreder ick", + "M A", + "ic ate", + "ĠHe avy", + "Ġdesign er", + "ol t", + "ĠK a", + "ra v", + "Ġro ll", + "Ġc orn", + "ĠI NS", + "ĠD u", + "r in", + "ĠE lection", + "ob a", + "Ġcol umn", + "Ġbro ke", + "b ro", + "Ġhold s", + "Ġill ness", + "Ġneigh bor", + "W est", + "Ġp owers", + "Ġat om", + "n ia", + "ĠG ers", + "Ġmanag ed", + "Ġ ille", + "at ab", + "197 2", + "ĠCh ampion", + "ĠGu y", + "Ġo cean", + "Ġf ir", + "ĠM ach", + "ĠP ed", + "ak u", + "ric t", + "ĠRe agan", + "Ġw ins", + "Ġpl anned", + "Ġsp irit", + "Ġatt ended", + "Ġsix th", + "Ġcomplet ely", + "ĠDie go", + "ĠM iller", + "Ġser ious", + "Ġland s", + "p re", + "ĠF ried", + "l ow", + "h ard", + "Ġp ath", + "ĠG ulf", + "Ġ7 2", + "ĠBet ween", + "ĠTechn ology", + "or o", + "Ġex hib", + "iam i", + "Ġcomput ers", + "ĠS ky", + "ĠP a", + "Ġdebut s", + "Ġar ms", + "ib ility", + "197 5", + "osp here", + "Ġren amed", + "ĠS ee", + "ĠRang ers", + "Ġindust rial", + "el son", + "l ife", + "ĠD allas", + "part ement", + "ĠE ston", + "Fran ce", + "Ġh y", + "ĠN ebraska", + "ĠOr th", + "ĠJer ry", + "Ġm m", + ") \"", + "Ġwh om", + "Ġclaim ed", + "ĠD VD", + "ĠCl in", + "um a", + "ĠC our", + "ir ty", + "ĠG on", + "ĠSong s", + "ĠAmb ass", + "im um", + "Ġgener ation", + "ĠSom me", + "E N", + "Ġin it", + "ĠL as", + "od ox", + "ĠFor est", + "ĠMer c", + "Ġt rial", + "ĠF el", + "ĠF em", + "ax y", + "Ġpass engers", + "ĠIm perial", + "Ġhost ed", + "ĠL ith", + "ĠEag le", + "ĠPitts burgh", + "M ay", + "on str", + "Ġ4 6", + "Ġim age", + "Ġheadqu arters", + "ĠY ug", + "l aw", + "ĠL yn", + "ĠYouT ube", + "Ġmod els", + "Ġsec urity", + "Ġeth nic", + "Ġcont rovers", + "Ġef f", + "es c", + "Ġs ac", + "Ġd ed", + "Ġnot able", + "Ġexamp les", + "w ald", + "Ġf air", + "ĠC ru", + "Ġvar iety", + "Ġs leep", + "Ġin te", + "ol ph", + "Ġ4 00", + "ĠJac ob", + "Ġpil ot", + "ĠMuham mad", + "Ġent er", + "ĠV is", + "Ġcon cent", + "Ġox ygen", + "r h", + "ĠS u", + "le ase", + "Ġ4 3", + "ult y", + "|||||||| ||||||||", + "Ġgrow th", + "ĠBl ues", + "ĠStat istics", + "Ġcou ple", + "ĠLux emb", + "ĠB urg", + "Ġst ated", + "Ġearthqu ake", + "ĠR y", + "Ġfor ests", + "Ġf ile", + "ĠC all", + "ĠC rit", + "Ġab ility", + "Ġcar ried", + "Ġvoc al", + "ĠUnivers al", + "ĠINS EE", + "est ic", + "ud a", + "ace ous", + "ĠWh it", + "ĠTem ple", + "ill es", + "ol o", + "Ġmaterial s", + "ĠJohn ny", + "ĠMed icine", + "Ġcond ition", + "ĠB ure", + "Ġb ound", + "ĠHolly wood", + "ĠS S", + "ĠO cc", + "orp s", + "ĠStud io", + "s m", + "ĠCub a", + "ĠS aud", + "ad i", + "ach i", + "og en", + "D ec", + "cent er", + "ĠMuslim s", + "ĠN FL", + "ap h", + "ic i", + "il ed", + "ĠSing h", + "Ġdig ital", + "Ġb ul", + "Ġm oon", + "Ġar ts", + "Ġtw enty", + "Ġdef in", + "Ġfin ish", + "g ing", + "Ġs ources", + "ĠRuss ell", + "ot ic", + "ĠSal v", + "mpt oms", + "Ġplay wright", + "Ġ190 4", + "Ġactiv ity", + "in er", + "Ġthe or", + "se e", + "Ġpo ets", + "ĠGuine a", + "ĠPr im", + "ĠR ab", + "ĠSer ge", + "I V", + "Ġb orders", + "Ġdanc er", + "b an", + "ĠL am", + "ost er", + "ĠFrog s", + "Ġr ugby", + "Ġsymb ols", + "ĠMargar et", + "J an", + "d iv", + "ĠPro gram", + "ĠCarl os", + "ĠR ights", + "od a", + "Ġqu arter", + "Ġw all", + "ĠM ong", + "Ġch all", + "Ġincre ased", + "av el", + "Ġcom ing", + "t rack", + "al le", + "Ġb right", + "ĠR ain", + "Ġfin ally", + "Ġd partement", + "ĠM it", + "ĠPl ot", + "ĠWork s", + "ĠCar ter", + "Ġw atch", + "el ve", + "Ġdis play", + "Ġprison ers", + "Ġs earch", + "ĠP ok", + "ĠLe v", + "Ġmed icine", + "us alem", + "ĠSt adium", + "Ġmat ter", + "m at", + "Ġst one", + "Ġincre ase", + "Ġinvent ed", + "ĠM ix", + "C C", + "Ġp ack", + "ĠZ e", + "Ġpr on", + "Ġlast ed", + "Ġ4 2", + "ile y", + "197 0", + "Ġdev ice", + "hatt an", + "Ġ5 1", + "ah o", + "Ġdeb uted", + "ĠR ud", + "ov es", + "ĠSam uel", + "Ġm outh", + "Ġdirect ion", + "197 1", + "ail and", + "Ġdisc uss", + "Ġser ve", + "ourn ey", + "Ġsol id", + "ĠSur vey", + "ĠHawai i", + "or ough", + "Ġdep art", + "ĠHon or", + "ĠColomb ia", + "or ph", + "ĠCalv ados", + "Ġdec ision", + "Ġext ra", + "Ġw ave", + "ĠF ive", + "ass ic", + "Ġtrib ut", + "Ġsouthwest ern", + "ĠHe b", + "Ġ18 00", + "f ather", + "Ġcontroll ed", + "Ġg ard", + "ut ional", + "ug uay", + "p an", + "ĠT oy", + "Ġsil ent", + "or ig", + "ĠR ic", + "Ġe ye", + "um an", + "Ġp et", + "ĠO m", + "os ite", + "vent ures", + "ĠT ri", + "Ġtr ies", + "Ġhouse hold", + "Ġoffic ers", + "ĠT ower", + "ĠM iami", + "ide os", + "Ġ6 3", + "ĠPh ill", + "Ġgirl s", + "Ġcol our", + "Ġc hess", + "b oy", + "ĠC ass", + "ĠL ib", + "Ġl ic", + "Ġal phabet", + "ats u", + "Ġphys ics", + "d in", + "ĠMun ich", + "ĠGovern ors", + "ĠPier re", + "ĠT rib", + "W A", + "ĠJer usalem", + "Ġag reed", + "hip s", + "Ġappear ances", + "hol m", + "ĠPh oen", + "ĠCommun ist", + "igh th", + "Ġb en", + "ĠF ront", + "ĠO sc", + "ap es", + "Ġkill s", + "Ġvol leyball", + "Ġnovel ist", + "ĠB ud", + "ĠD ave", + "ĠD ance", + "ra cy", + "19 69", + "ĠComp anies", + "Ġpat tern", + "ĠO w", + "Ġ5 6", + "Ġpian ist", + "Ġclass ical", + "ĠVlad imir", + "ĠR un", + "ĠL et", + "Ġsh are", + "ĠMan hattan", + "Ġnorm ally", + "an throp", + "st ers", + "Ġsing ing", + "ĠMo ore", + "in ent", + "en ge", + "Ġy et", + "Ġ5 9", + "ĠCol on", + "b ar", + "ĠSc reen", + "Ġfollow s", + "Ġnov els", + "G erman", + "im al", + "ab e", + "ĠMed ical", + "Ġra ces", + "Ġcol ors", + "ĠPakistan i", + "Ġdescrib e", + "ĠMatt hew", + "ĠF al", + "ĠB an", + "ĠPet ers", + "Ġbacter ia", + "Ġl ists", + "Ġmeet ing", + "ĠJun ior", + "en ing", + "Ġs ites", + "Ġv er", + "Ġv eget", + "Ġcon cept", + "ist ers", + "Ġpr incip", + "Ġcour se", + "Ġunderst and", + "Ġen emy", + "ĠBure au", + "ĠL ad", + "ĠOtt oman", + "ob i", + "Ġorgan ized", + "ĠLiber al", + "ĠM agn", + "ant ed", + "ĠB uff", + "ĠA ud", + "we alth", + "Ġappro x", + "as a", + "ĠB ou", + "R A", + "ĠUr uguay", + "ĠM ess", + "ĠM eg", + "Ġart icles", + "ĠCost a", + "ĠYug oslav", + "w ich", + "ĠTh ird", + "oot h", + "Ġact s", + "ĠL ang", + "act ive", + "Ġmem ory", + "c i", + "ĠN ash", + "Ġexper ience", + "; \"", + "Ġs ons", + "Ġc ant", + "Ġf ell", + "Ġ190 2", + "Ġch airman", + "Ġtit les", + "Ġfail ed", + "Ġfor ward", + "ĠPer u", + "Ġbrother s", + "Ġarchitect ure", + "Ġc ool", + "Ġg ained", + "Ġover all", + "Ġ4 9", + "ĠHar vard", + "ĠMor oc", + "ĠSal zburg", + "Ġcal cul", + "Ġ7 1", + "Ġwrest lers", + "ĠL ieutenant", + "Ġal umni", + "Ġexpl os", + "ĠFil ip", + "h aw", + "ip ment", + "ather ine", + "ĠChrist ians", + "inc orporated", + "Ġdef end", + "Ġgrow ing", + "J uly", + "Ġw rong", + "Ġs and", + "ĠNor man", + "m ph", + "Ġd inosaur", + "ĠG ran", + "ĠComp uter", + "c ott", + "is er", + "ĠS in", + "Ġm om", + "ĠC ong", + "Ġun c", + "Ġthem e", + "umb ent", + "Ġc oin", + "ĠD ur", + "ĠK o", + "ĠBr on", + "19 68", + "Ġorder ed", + "n ie", + "il ia", + "ir t", + "rop s", + "ĠAd v", + "Ġt arg", + "ug s", + "Ġgl ass", + "ĠNiger ia", + "ĠBoe ing", + "ĠS uff", + "ĠM ol", + "ĠJ ama", + "ĠTr in", + "Ġprot est", + "Ġs emi", + "N ov", + "Ġa part", + "Ġiss ue", + "y ing", + "th m", + "Ġcr imes", + "ym n", + "Ġquest ion", + "ra k", + "Ġhe ight", + "A pril", + "Ġreact ion", + "ag h", + "og le", + "ibb ean", + "f rom", + "r ast", + "Ġc m", + "ĠBen j", + "Ġan s", + "Ġy outh", + "Ġvill ages", + "Ġrev olution", + "p ur", + "t ic", + "ĠB undesliga", + "ad t", + "Ġ18 80", + "Ġrec ip", + "j oy", + "ĠRel ig", + "f it", + "aw are", + "i ens", + "it an", + "Ġcontin ue", + "Ġly rics", + "Ġp erman", + "Ġ14 0", + "ett y", + "heim er", + "ĠC ret", + "ĠAl ger", + "Ġbig ger", + "ent e", + "ĠSt ew", + "Ġsh r", + "Ġe asy", + "ĠRob inson", + "ĠTh ailand", + "Ġact ed", + "P h", + "Ġg re", + "ĠR yan", + "ire ment", + "Ġm ap", + "anc ell", + "ĠGr iff", + "ĠMc G", + "Ġbre ed", + "Ġhon or", + "ĠP oint", + "Ġst aff", + "ĠOrth odox", + "u ces", + "Ġs now", + "Ġp icture", + "Ġh ands", + "ĠW ard", + "Ġmov es", + "Ġpresent ed", + "Ġconstitu ency", + "ĠB asketball", + "ĠH unt", + "Ġv ice", + "Ġgr ass", + "ĠPlay er", + "Ġbr and", + "Ġh uge", + "ĠF uk", + "ĠN av", + "Ġwar m", + "Ġfoc us", + "ag ing", + "Ġpl ans", + "Ġcomp ared", + "re es", + "Ġ9 9", + "Ġcont ent", + "S eptember", + "ĠO range", + "igen ous", + "Ġ ir", + "ĠCon stant", + "ĠGirl s", + "ĠI ron", + "ĠH em", + "ĠV I", + "ĠAg ain", + "Ġrepresent atives", + "Ġv ert", + "w ig", + "ĠM ick", + "ĠH ospital", + "ĠW he", + "Ġr are", + "Ġconc ern", + "Ġs umm", + "Ġb aby", + "ĠA ctor", + "od s", + "og ue", + "C l", + "ĠKash mir", + "ĠR oc", + "ect ive", + "Ġdr ive", + "Ġpol icy", + "Ġphot ographer", + "ĠCom ics", + "back ground", + "Ġp ictures", + "ĠBel arus", + "ĠHol land", + "Ġinj ured", + "ĠCommon wealth", + "ĠSax ony", + "Jan uary", + "ĠO ber", + "Ġus ers", + "m und", + "Ġw a", + "ir ates", + "Ġsc ript", + "Ġest imated", + "Ġsound s", + "ĠWay ne", + "Ġobs erv", + "ov ich", + "Ġre form", + "ĠBor ough", + "en os", + "Ġc ongress", + "ou ver", + "oc racy", + "Ġdr ums", + "um in", + "ren e", + "M arch", + "act ion", + "Ġprov ided", + "ĠP in", + "Ġv ia", + "Ġ5 3", + "Ġro ute", + "Ġatt ention", + "ĠOl iver", + "Ġstay ed", + "ĠAl t", + "ĠArmen ia", + "ro c", + "ĠE P", + "Ġpr iest", + "ĠCo oper", + "Ġevery one", + "ming ham", + "ĠCon c", + "as ia", + "gress ive", + "\" ),", + "as p", + "Ġran k", + "Ġfem ales", + "ĠCh amber", + "A T", + "ul s", + "Ġpol o", + "Ġearl iest", + "Ġf ans", + "ĠG or", + "ang el", + "ĠCar ibbean", + "O ctober", + "Ġs ense", + "ill o", + "ĠBar ry", + "vers e", + "ĠSt ars", + "Ġliqu id", + "Ġresp onse", + "Ġlearn ed", + "A ugust", + "a ire", + "f riend", + "Ġm ind", + "ĠIn formation", + "ĠSp r", + "ĠIndepend ence", + "ĠK u", + "ĠFlor ence", + "Ġcor rect", + "Ġaccept ed", + "ĠHigh way", + "ĠPop ulation", + "Ġim ages", + "Ġtra ff", + "ĠSar ah", + "ess ion", + "Ġunivers e", + "m us", + "ĠD istricts", + "res p", + "Ġ18 70", + "Ġlik ed", + "Ġst reet", + "Ġam b", + "Ġopp osite", + "Ġshoot ing", + "ĠWik ip", + "iv ia", + "ĠC os", + "ĠM ak", + "ĠH ere", + "ĠJ ur", + "Ġreg ional", + "ĠDise ase", + "m itted", + "Ġp it", + "ĠN ort", + "uss ia", + "ĠAl ice", + "Ġinflu enced", + "Ġs ure", + "ĠW eek", + "ry pt", + "Ġthr one", + "ĠEp is", + "Ġcart oon", + "d ale", + "ĠG ian", + "ĠQueens land", + "ĠN elson", + "b ishop", + "z z", + "ĠT og", + "om ot", + "ok u", + "Ġhor se", + "Ġsc ale", + "Ġmention ed", + "Ġt ri", + "on i", + "19 67", + "ail ed", + "Ġsen ior", + "Ġconfl ict", + "Ġalcoh ol", + "le ans", + "ĠH ell", + "Ġhigh ly", + "Ġthous ands", + "p op", + "ch ar", + "ĠJ ason", + "Ġelect ronic", + "Ġf ranch", + "Ġp an", + "id ency", + "Ġl ots", + "ric ulture", + "Ġh ip", + "Ġcap tain", + "ĠSing les", + "ĠId aho", + "y ers", + "ĠSec urity", + "Ġmathemat ics", + "Ġc ert", + "ĠC ulture", + "ĠL anc", + "iv or", + "ov en", + "Ġ18 99", + "Ġvir us", + "Ġpurp ose", + "R S", + "ĠS oul", + "Ġcreat ing", + "s et", + "is ch", + "ĠL iver", + "Ġal one", + "f e", + "Ġm aint", + "ĠC BS", + "Ġd ensity", + "ĠDomin ican", + "ak ia", + "ult an", + "ĠPer cy", + "Ġm orning", + "Ġ18 60", + "Ġpart ner", + "ĠAth let", + "C an", + "Ġb ishop", + "Ġc lean", + "Ġp ull", + "Ġl iber", + "Ġeng ines", + "or gan", + "ĠConserv ative", + "it ors", + "ĠProt est", + "ite i", + "ad ers", + "ĠSoc cer", + "Ġ10 7", + "Ġsoc cer", + "ĠSil ver", + "H e", + "Ġm ales", + "ĠC old", + "Ġag ent", + "Dec ember", + "ĠBenj amin", + "is p", + "ly ing", + "ap olis", + "Ġs oul", + "Ġfin ancial", + "ĠB ass", + "Ġl ack", + "ĠAnd r", + "ĠLuxemb ourg", + "ĠLeb an", + "c ription", + "ĠE ug", + "ĠOs aka", + "I s", + "ĠChristian ity", + "Ġrequ ired", + "y g", + "Ġb it", + "ĠL og", + "Ġres igned", + "ĠOn ce", + "ĠBar on", + "Ġsub st", + "Ġaff ected", + "Ġphilos ophy", + "Ġbott om", + "Ġadd itional", + "ĠSaud i", + "Ġh abit", + "ĠB ed", + "Ġshe ll", + "ĠMont ana", + "Ġtrib es", + "id ay", + "atab ase", + "ĠG EF", + "Ġant hem", + "Ġpersonal ities", + "ĠSever al", + "Ġd omin", + "az a", + "Ġdanger ous", + "w o", + "Ġrul er", + "Ġcast le", + "ĠClin ton", + "Ġh its", + "ct ic", + "Ġ4 1", + "ĠArab ic", + "Ġlab or", + "o om", + "Ġc rown", + "ĠR aw", + "20 21", + "ĠAm az", + "ĠKn ight", + "Ġpromot ed", + "in ian", + "ĠS r", + "Ġf alls", + "ĠSt aff", + "Ġpresent er", + "ĠJeff erson", + "Ġt ail", + "ain ts", + "Ġus er", + "Ġco al", + "E ng", + "Ġm art", + "ĠC aus", + "ĠG am", + "amp le", + "idd en", + "ublish ing", + "ven ue", + "ĠCret aceous", + "Ġm el", + "Ġtem ple", + "3 00", + "r and", + "y les", + "iz u", + "Ġdiff erence", + "ĠMalays ia", + "w all", + "Ġtransl ated", + "ar p", + "anc ouver", + "Ġlook ing", + "Ġmethod s", + "Ġneg ative", + "Ġass ass", + "ĠB our", + "Ġl ibrary", + "Ġsc hed", + "ĠLi bert", + "ĠAlbum s", + "Ġcrim inal", + "m it", + "ĠL l", + "Ġit ems", + "ĠAir es", + "Ġann ual", + "Ġequ ipment", + "ĠEs sex", + "Ġbehav ior", + "ĠH and", + "ĠL ud", + "ĠN BC", + "ĠCap ital", + "ĠYear s", + "ĠHistor ical", + "ĠBrook lyn", + "Ġf at", + "ĠMon te", + "Ġinsp ired", + "it ness", + "ĠA ld", + "ĠP ays", + "Ġdis app", + "at ively", + "ĠB enn", + "id ers", + "ub le", + "ĠPaul o", + "ĠCharl ie", + "ĠEth iop", + "ĠSp eak", + "ĠLe ader", + "T C", + "ĠV a", + "Ġac qu", + "Ġcomb ined", + "Ġw orship", + "ĠK ath", + "ran ean", + "' m", + "Ġf uel", + "Ġext rem", + "Ġocc urs", + "Ġb ow", + "Ġcont act", + "Ġrock s", + "ag ues", + "ĠOr chestra", + "Ġrem ain", + "ĠGab ri", + "ĠFran ces", + "ĠCl imate", + "Ġcomm and", + "S P", + "rom e", + "Ġ18 96", + "ĠY outh", + "Ġsp ring", + "Ġdid n", + "Ġinv asion", + "A C", + "Ġk W", + "Ġmov ements", + "ob iles", + "ĠTun is", + "c alled", + "Ġb rief", + "el ess", + "ĠG ener", + "ich i", + "ĠBern ard", + "p es", + "ĠP ul", + "res ents", + "Ġnot es", + "ĠSund ay", + "Nov ember", + "ĠA M", + "Ġcl othing", + "Ġdog s", + "H O", + "Ġinsect s", + "ĠR out", + "Ġad apt", + "ĠStud ios", + "d rama", + "ĠMet ro", + "Ġarrondiss ements", + "Ġterrit ories", + "w ing", + "ind er", + "Ġdiplom at", + "Ġth ick", + "eop les", + "ĠOb last", + "ĠR ena", + "Ġfl oor", + "ĠBl ood", + "Ġsit com", + "ic er", + "Ġsold ier", + "ĠOrig in", + "J une", + "P remier", + "ĠM ans", + "ur er", + "Ġnot ed", + "aus en", + "Ġsepar ated", + "Ġs ell", + "Ġim medi", + "Ġrep resents", + "ĠPhoen ix", + "Ġh yp", + "Ġbe gin", + "Ġact ions", + "ĠT yp", + "ra h", + "ĠMor gan", + "Ġw ing", + "song writers", + "Ġtrack s", + "ĠN i", + "Ġformer ly", + "ĠMinist ry", + "Ġveh icles", + "ro t", + "Ġh ang", + "ĠX box", + "ĠEn t", + "ĠSy ria", + "ĠDr agon", + "Ġfeat uring", + "ĠAct ress", + "ĠSuff olk", + "em et", + "ĠGo ogle", + "ĠB uck", + "ĠPar am", + "ĠMov ement", + "ij i", + "Ġeconom ist", + "U S", + "ret t", + "Ġhistor ians", + "Ġv ideos", + "Ġdivor ced", + "d on", + "he ro", + "ĠChile an", + "ĠBarb ara", + "ĠW right", + "ĠMr s", + "w here", + "ĠPr adesh", + "ĠBir ths", + "Ġjob s", + "or us", + "Ġd raft", + "Ġ18 95", + "Ġbirth day", + "ĠG ary", + "ĠMin or", + "ĠSev en", + "ĠH op", + "ĠRober ts", + "ĠDel aware", + "Ġprop osed", + "Ġm ist", + "ows ki", + "ĠMe itei", + "Ġsett lement", + "ĠL uther", + "ra ham", + "ĠV ancouver", + "Ġsp in", + "iter ranean", + "Ġnomin ation", + "Ġknow ledge", + "Ġh p", + "et e", + "Ġun ique", + "Ġpos itions", + "ĠPlay ers", + "ro om", + "ag g", + "uk a", + "ĠFilm ography", + "ĠVerm ont", + "F ebruary", + "Ġon to", + "ett a", + "Ġt ouch", + "en ne", + "Ġgu ard", + "Ġviol ence", + "ĠCharl otte", + "ĠUl t", + "Ġc odes", + "st ery", + "ĠVin jan", + "a ug", + "ĠR al", + "ak ed", + "ony m", + "Ġp ra", + "Ġrepresent ative", + "ĠAust in", + "Ġsurg ery", + "ĠT ol", + "Ġd iam", + "un es", + "Ġprov ides", + "Ġc atch", + "ĠT ob", + "iv als", + "Ġor chestra", + "ast e", + "urr ay", + "ĠDou bs", + "ĠMarsh all", + "ĠM other", + "ag ement", + "Ġesc ape", + "Ġreve aled", + "an ne", + "Ġin stit", + "Ġtit led", + "Ġend ing", + "ĠMan ipur", + "ĠEn cyclop", + "Ġagre ement", + "om ers", + "ĠPh ot", + "Ġperson nel", + "Ġelectric ity", + "Ġm ax", + "ĠR and", + "Ġstr ip", + "ĠSe attle", + "ĠBoy s", + "ĠS af", + "Ġoper ations", + "S rie", + "ro ph", + "Ġ10 4", + "Ġille gal", + "' ,", + "ĠLiter ature", + "as aki", + "Ġm ut", + "ĠB ac", + "ĠR eed", + "Ġfield s", + "ĠR at", + "ĠOn line", + "ĠSup port", + "emp orary", + "ut ies", + "G eneral", + "h ing", + "un c", + "ell ite", + "ĠCat hedral", + "ĠC ole", + "ĠG ay", + "oth y", + "ĠLaw yers", + "ĠS ah", + "et ime", + "ĠD ays", + "ĠW a", + "Ġpoet ry", + "ĠLeg isl", + "m ers", + "Ġstra ight", + "f am", + "Ġsy mptoms", + "Ġleg end", + "b al", + "id i", + "Ġdocument ary", + "el er", + "ĠJ ess", + "Ġ5 2", + "Ġclass ification", + "ĠStew art", + "Ġd oll", + "Ġch ain", + "Ġch urches", + "Ġte eth", + "ie val", + "Ġtrib e", + "Ġwhe el", + "Ġsuff ered", + "Ġev il", + "ĠGr ant", + "ĠPolit ics", + "Ġs alt", + "ĠT ib", + "ĠP ont", + "ad ow", + "Ġte ach", + "iel der", + "ĠAdminist ration", + "ĠC ow", + "ĠN BA", + "Ġsh op", + "Ġdis order", + "ĠMed iterranean", + "us ter", + "Ġrec ently", + "e or", + "Ġs av", + "Ġor bit", + "k ar", + "om ing", + "ĠF ather", + "ut o", + "Ġhe ard", + "ĠH as", + "ik ov", + "Ġrem ember", + "FF FF", + "emet ery", + "ĠM oz", + "ĠI an", + "inn er", + "ĠBr id", + "Ġqu ant", + "Ġparticular ly", + "ĠTreat y", + "av ery", + "19 66", + "ĠKn ow", + "R I", + "et a", + "ĠW oman", + "Ġre ality", + "ern e", + "Ġen joy", + "Ġany thing", + "Ġs ick", + "ĠB ox", + "ri x", + "Ġconv icted", + "Ġded icated", + "ĠS ard", + "ĠSocial ist", + "ĠWikip edia", + "ĠW ell", + "Ġpre gn", + "Ġfind s", + "Ġd ates", + "ĠR ound", + "Ġarr ived", + "Ġadminist ration", + "Ġdef ined", + "Ġphys ician", + "Ġinfect ion", + "M S", + "Ġsug ar", + "ĠNev ada", + "onom ous", + "e ctor", + "om m", + "Ġch lor", + "Ġr hy", + "Ġs ales", + "Ġte aching", + "ĠEx pl", + "Ġcontin u", + "t op", + "Ġs ave", + "Ġp air", + "Ġh all", + "ĠF ictional", + "uss ian", + "Ġestab lish", + "b ell", + "c aster", + "d o", + "or al", + "Ġg iant", + "ĠK os", + "ab a", + "Ġmanag ement", + "Ġne ut", + "ĠS C", + "ĠArt ist", + "en es", + "Ġelect ron", + "inc ial", + "ĠRec ord", + "unn y", + "ĠU N", + "Ġdise ases", + "ol ia", + "ĠF rid", + "ann er", + "Ġdep ression", + "ĠBrother s", + "is in", + "Ġgen etic", + "it is", + "ace ae", + "Ġres ign", + "ĠNot able", + "Ġyoun gest", + "U K", + "ig i", + "Ġfl ower", + "Ġw ars", + "ĠAl z", + "ĠFor ces", + "re p", + "Ġmil k", + "Ġcaus ing", + "ĠGre ater", + "Ġexec uted", + "ĠCh airman", + "ĠB eg", + "ĠDig ital", + "il ing", + "um es", + "ĠVenezuel a", + "ĠS em", + "Atl ant", + "t es", + "19 64", + "Ġsl ight", + "St ar", + "ify ing", + "Ġparticip ated", + "ĠK id", + "Ġsp ect", + "Ġsc ene", + "I t", + "ĠS um", + "ĠN et", + "Ġcy cle", + "Ġdistrib ution", + "Ġ18 93", + "Ġsh ared", + "ĠBir mingham", + "ĠGir onde", + "ĠLiver pool", + "en berg", + "re c", + "ĠF ood", + "Ġj un", + "Ġvis ited", + "ar ians", + "ĠH end", + "ĠG ot", + "Ġrepl ac", + "ĠBat man", + "ĠB orn", + "ĠAn at", + "Ġdiagn osed", + "Ġa x", + "Ġh ors", + "ĠH orn", + "Ġoper ation", + "Ġ <", + "ĠP ad", + "ĠUnivers e", + "B E", + "ĠL anguage", + "ĠG ust", + "Ġext inct", + "80 72", + "ĠSat urn", + "Ġprem ier", + "Ġl ies", + "ames e", + "ĠIs a", + "Ġshow ing", + "Ġtre ated", + "ĠP sych", + "Ġat m", + "r um", + "as ure", + "Ġrem aining", + "Ġcop y", + "ĠLank a", + "ĠS uz", + "Ġschol ar", + "ĠF u", + "ĠJ e", + "Ġse g", + "ĠBab y", + "ĠG a", + "Ġ18 98", + "Ġun s", + "Ġautom obiles", + "ĠCroat ia", + "W e", + "ĠK um", + "Ġgro wn", + "ĠOr leans", + "Ġinc ome", + "er c", + "ĠK ur", + "Ġrep e", + "ĠBu enos", + "ic ts", + "Ġf resh", + "Ġbl ues", + "ancell or", + "Ġb orough", + "Ġ1 000", + "Ġh our", + "Ġph r", + "ĠYe ung", + "c les", + "ĠA ra", + "Ġcrick eter", + "ĠS i", + "ot es", + "Ġ18 97", + "Ġcomm ander", + "Ġfranch ise", + "Ġoper ated", + "ĠStock holm", + "Ġanal ysis", + "ĠOsc ar", + "ĠE sc", + "ĠEu ro", + "Ġsl aves", + "Ġprotect ion", + "ĠFilip ino", + "A D", + "Ġel se", + "ĠStud ies", + "Ġmole c", + "Ġf reedom", + "ĠD ub", + "ĠE qu", + "ac o", + "Ġcandid ates", + "Ġcras hes", + "ĠO ur", + "an es", + "cl us", + "inn ed", + "ĠNap ole", + "' re", + "Ġm ammals", + "ĠN ame", + "Ġn om", + "st anding", + "ĠIn g", + "Ġcall s", + "ĠWalk er", + "Ġto ols", + "app y", + "Ġfav or", + "P S", + "ĠT rain", + "ri ke", + "ĠGard en", + "Ġbeaut iful", + "ĠS now", + "ĠSh im", + "Ġadd ress", + "ĠA BC", + "Ġstreng th", + "d i", + "ĠM ort", + "ĠK ap", + "ĠPl ace", + "ĠMc K", + "Ġpaint ers", + "s ch", + "ag u", + "Ġdam aged", + "ĠMat hemat", + "ĠK aw", + "Ġad ults", + "Ġres idents", + "lic ation", + "Ġp anc", + "ep p", + "ĠIn stead", + "ĠCh ang", + "ĠPhys ics", + "ĠNAS A", + "hel m", + "ĠLeg end", + "Ġlearn ing", + "R h", + "Ġro t", + "pl ace", + "Ġmed als", + "ĠIndones ian", + "Ġs ets", + "ĠL ost", + "ran ce", + "Ġvot ed", + "in ing", + "ĠC orps", + "ĠHon ours", + "ĠEconom ic", + "l ie", + "Ġ11 0", + "Ġconsid er", + "Ġpri ze", + "s ki", + "le ton", + "Ġphil anthrop", + "ber to", + "Ġse em", + "com mun", + "ĠVin cent", + "ĠF ollow", + "ous ly", + "Ġgu est", + "ĠFriend s", + "O r", + "Ġ18 50", + "Ġad vert", + "ĠNik ol", + "Ġfoss il", + "ĠP ear", + "Ġpo ison", + "Ġcon stant", + "Ġcomm itted", + "b u", + "Ġ ens", + "Ġc ounter", + "n ij", + "ĠAb raham", + "x ide", + "ĠB ach", + "ĠD iam", + "ĠCl ar", + "Ġboy s", + "Ġhom es", + "4 00", + "ĠR av", + "end e", + "Ġfun ctions", + "m el", + "ĠR ing", + "Ġg all", + "ĠLar ry", + "ĠHeb rew", + "Ġin n", + "ĠS or", + "Ġpart icles", + "ĠNa uch", + "Ġindivid uals", + "ĠM i", + "Ġpaint ed", + "ĠCr ime", + "Ġident ity", + "Ġsculpt or", + "op es", + "ber ry", + "Ġpl ate", + "Ġcol ony", + "che ll", + "Ġaltern ative", + "Ġtra v", + "ol y", + "Ġor b", + "Ġimp act", + "A ll", + "Ġh urt", + "Ġ18 61", + "Ġqu ality", + "ĠSerb ia", + "Ġch ose", + "Ġdr ummer", + "c ia", + "in ental", + "Ġf ully", + "ĠC hen", + "Ġh am", + "ĠR eb", + "op ter", + "19 65", + "Ġ188 9", + "Ġbusiness people", + "ĠThom pson", + "ĠD J", + "Ġlook ed", + "ĠLu is", + "ĠHit ler", + "] ]", + "Ġw alls", + "ĠMar vel", + "Ġdev ices", + "ĠBib li", + "in ch", + "Ġwith d", + "Ġhyd rogen", + "ĠNauch nij", + "Ġl iver", + "Ġn ecess", + "Ġth row", + "ac re", + "Ġcl imb", + "Ġres ear", + "Ġme at", + "oc ard", + "Ġr isk", + "Ġrepl ace", + "Ġsett led", + "Ġoccur red", + "ĠSerb ian", + "i ago", + "ĠA round", + "in ia", + "ĠWar ren", + "Ġcou p", + "h r", + "ĠA u", + "ĠM urray", + "Ġher b", + "Ġvict ims", + "ĠSel ena", + "ran ches", + "Ġdiv isions", + "Ġsub t", + "ĠD od", + "ip er", + "Ġcon cer", + "lev i", + "iss ance", + "clud ing", + "Ġsk i", + "H ex", + "Ġm ental", + "ĠC ant", + "ĠL ion", + "ĠG ib", + "eg as", + "Ġevery thing", + "ĠR ow", + "Ġbi ography", + "Ġeduc ator", + "Ġf elt", + "ĠCon vention", + "ĠUs ually", + "Ġnumer ous", + "Ġb atter", + "ĠIn n", + "Ġ188 8", + "Ġvol cano", + "ĠOper a", + "C on", + "ĠL angu", + "ĠO pp", + "ĠW or", + "ib ly", + "Ġhistor ic", + "ĠLat v", + "ien ne", + "Ġglob al", + "Ġapprox imately", + "Ġb ra", + "Ġ *", + "Ġst ores", + "Ġfl owers", + "ĠPen insula", + "m aker", + "Ġ( ).", + "ĠW onder", + "Ġclass es", + "ĠBor is", + "ĠOrgan ization", + "z i", + "ĠB ond", + "ĠR an", + "ock ed", + "Ġext ended", + "Ġpass es", + "ĠBulg aria", + "l on", + "Ġus eful", + "orro w", + "ĠPl at", + "Ġtyp ically", + "ĠJos h", + "ĠJon athan", + "Ġenvironment al", + "Ġf aster", + "ĠL enn", + "ĠG un", + "ĠRev iew", + "Ġdeg rees", + "ĠBeat les", + "Ġp le", + "ĠF ight", + "ul es", + "ĠCh and", + "se a", + "ĠMar ine", + "Ġ6 2", + "Ġcompet itions", + "Ġcerem ony", + "ĠF un", + "Ġhe av", + "Ġproper ties", + "ĠThe od", + "ĠRh ine", + "ĠB aker", + "im ents", + "Ġst rik", + "Ġ5 8", + "Ġ6 1", + "Ġresp ir", + "Ġclos ely", + "ĠE mer", + "ĠYork shire", + "Ġiss ued", + "Ġcho ose", + "w ise", + "ĠS ide", + "Ġf t", + "ĠM aced", + "ĠD iet", + "Ġ16 5", + "Ġalong side", + "Ġvo iced", + "d u", + "ĠD ist", + "ish a", + "Ġcon ver", + "Ġso il", + "ĠPl aces", + "ĠInter view", + "Ġminist ers", + "Ġinvent or", + "am an", + "om on", + "ĠGra ham", + "ĠSlov en", + "ig o", + "Ġsol ar", + "Ġveh icle", + "Ġ1 19", + "ĠB att", + "ĠOrig inal", + "o j", + "om p", + "Ġinf ar", + "Ġeas ier", + "t hes", + "ot an", + "ĠDes pite", + "ĠCro wn", + "ĠW ien", + "ĠHer z", + "ĠStev en", + "Ġschol ars", + "Ġinfar ction", + "b es", + "ĠF reedom", + "Ġher self", + "ĠRes ults", + "ĠHistor ic", + "F irst", + "ul u", + "Ġown ers", + "Ġben ef", + "Ġrun ner", + "R GB", + "es ar", + "ĠA FC", + "Ġn ations", + "Ġsy nd", + "ĠR ou", + "ĠW ag", + "Ġth us", + "Ġ18 92", + "ĠEn ergy", + "ĠAlz heimer", + "Ġd aily", + "Ġg ang", + "Ġe lectoral", + "ĠSt u", + "ĠUn like", + "Ġpo em", + "Ġc ous", + "iv an", + "Ġwind s", + "en cer", + "Ġro ugh", + "Ġpo ems", + "Ġfly ing", + "ran e", + "ĠCub an", + "19 60", + "Ġac comp", + "Ġturn s", + "Ġnuc le", + "ĠBird s", + "Ġgre ater", + "Ġs end", + "Ġs ulf", + "Ġc ategory", + "ĠS ak", + "ĠL av", + "ip h", + "sp eak", + "ĠDe an", + "Ġoffer ed", + "ĠO g", + "Ġgu ilt", + "Ġsevent h", + "alt a", + "Ġdisc over", + "ĠDes ign", + "ĠA uthor", + "ĠT on", + "ĠHe in", + "ĠV ic", + "ĠJac ques", + "ĠL is", + "id o", + "ĠF ish", + "Ġofficial s", + "ĠArab ia", + "ĠCroat ian", + "Ġsucceed ed", + "w inning", + "ĠI b", + "amb a", + "aught ers", + "Ġexp ected", + "Ġb ill", + "am ing", + "Ġbre ast", + "ĠMag azine", + "Ġtarg et", + "E S", + "Ġw aters", + "ĠA ges", + "Ġg ay", + "ĠSo ft", + "ĠS ic", + "om i", + "ĠV el", + "Ġnot e", + "ĠGr ay", + "ĠBob by", + "ĠNiger ian", + "Ġkilomet ers", + "ĠExp ress", + "Ġro ads", + "Ġmy ocard", + "Ġav oid", + "Ġmot ion", + "l ia", + "ster dam", + "Ġz one", + "Ġche ck", + "v ement", + "Ġm obile", + "orn ado", + "Ġret irement", + "Ġmom ent", + "Ġpre p", + "ĠPresident ial", + "Ġaud ience", + "Ġste el", + "T S", + "m o", + "ĠP age", + "Ġkn ew", + "Ġbehav i", + "ap ted", + "Ġ11 4", + "ĠDel hi", + "al ing", + "ĠS oph", + "ĠM ig", + "ĠP C", + "ir k", + "ĠD ol", + "Ġ18 94", + "Ġres c", + "Ġque en", + "I nd", + "ĠM ind", + "us hed", + "Ġ18 91", + "Ġchem istry", + "ĠBuild ing", + "Ġrad iation", + "n ight", + "Ġc inem", + "ĠH ond", + "Ġtw elve", + "Ġres ources", + "aur us", + "Ġsupp osed", + "ĠC ond", + "ĠGu ide", + "f urt", + "ĠS ign", + "Ġv en", + "ant ine", + "ens is", + "Ġrece ive", + "g om", + "ĠT u", + "ĠDe ep", + "Ġsaf ety", + "t ing", + "ĠB ert", + "ĠB ald", + "rov ision", + "ĠJo an", + "ie g", + "Ġbro ken", + "Ġpun ish", + "Ġp p", + "un o", + "Ġserv es", + "Ġdisc overy", + "ĠKor levi", + "Ġappl ied", + "ĠS ac", + "Ġat oms", + "Ġthere fore", + "ĠL omb", + "ĠO ri", + "im ens", + "Ġdescrib es", + "Ġinterest ed", + "Ġcele b", + "ĠElect ric", + "Ġmyocard ial", + "il o", + "Ġst ock", + "Ġag ree", + "ram s", + "Ġmar ry", + "off s", + "ĠIndepend ent", + "ĠA in", + "ĠJ ose", + "ord in", + "Ġdes cent", + "Ġperform ing", + "ĠL ag", + "Ġprofess ion", + "ĠAdd itional", + "h u", + "at ur", + "Ġpre y", + "Ġ. ..", + "en o", + "Ġg uns", + "ia ble", + "Ġcl othes", + "! \"", + "ĠF ull", + "Ġinvol ving", + "on ian", + "Ġim mun", + "Ġbi ology", + "Ġelectr ical", + "ĠT as", + "ĠLe o", + "Ġgood s", + "ĠHen ri", + "ĠNick el", + "ĠP rom", + "Ġch rom", + "Ġend ings", + "Ġsit uation", + "ĠN ak", + "od ium", + "Ġrap id", + "ĠWinn ers", + "Ġas p", + "cl aim", + "ĠArn old", + "on ents", + "ĠD uc", + "ĠBad en", + "p ret", + "s uch", + "ĠA ar", + "ĠP ied", + "Ġre ar", + "all ow", + "ĠAg ency", + "Ġfig ures", + "Ġsurround ed", + "Ġprot ests", + "udd en", + "ĠSte in", + "Ġnar row", + "ĠPer ry", + "ĠI P", + "ĠSh a", + "pr ise", + "ĠS ug", + "ĠM ikh", + "ir ing", + "et es", + "Ġchang ing", + "Ġdist inct", + "ĠCont est", + "Ġacadem ics", + "ĠNich olas", + "E C", + "ĠP ink", + "eb ra", + "ub b", + "aw ay", + "Ġemp ire", + "m i", + "ĠM ond", + "em a", + "ĠW ii", + "ĠTh rough", + "uch i", + "Ġref used", + "Ġhot el", + "Ġcongress ional", + "ur u", + "uc cess", + "ar l", + "Ġem ot", + "Ġguitar ists", + "Ġdom estic", + "Ġr ural", + "uc lear", + "ĠBack ground", + "ĠPark er", + "Ġob tain", + "Ġrequ ire", + "G N", + "S R", + "Ġre ject", + "end ment", + "Ġentertain ment", + "ĠTib et", + "ar th", + "ĠS eb", + "un ch", + "ak ov", + "Ġeat en", + "CA P", + "ĠLangu ages", + "b urn", + "Ġf ear", + "ĠL ot", + "ĠHar rison", + "ĠRob in", + "ĠP il", + "ĠA C", + "st ream", + "Ġsign s", + "ĠRepresent ative", + "Ġp unk", + "ĠL ov", + "ĠD S", + "ul ed", + "Ġser ial", + "ĠAm sterdam", + "Ġpubl isher", + "b at", + "b ul", + "ĠM ult", + "ĠK ill", + "se ud", + "Ġex change", + "ĠCom edy", + "ans ion", + "ann els", + "Ġtran sit", + "Ġprot ected", + "ĠKaz akh", + "Ġin ternet", + "ĠG ang", + "19 63", + "Ġcompet e", + "Ġg ender", + "ens es", + "ĠTr ade", + "et on", + "Ġvo ices", + "A ust", + "am oto", + "Ġsecond s", + "Ġ188 7", + "Ġc ong", + "Ġst re", + "Ġdec ide", + "Ġto x", + "Ġcon st", + "Ġsup ply", + "Ġph one", + "Ġview s", + "Ġtraff ic", + "ĠPr ague", + "Ġun us", + "Ġbo at", + "Ġneighbor hood", + "Y ou", + "ab or", + "yl er", + "Ġsurv ived", + "ic ient", + "ĠL isa", + "ot ten", + "em ia", + "ĠStand ard", + "Ġcant ons", + "Ġmed ium", + "m or", + "n on", + "Ġn ose", + "ist ol", + "out heastern", + "Ġchem ist", + "Ġs elling", + "Ġch ance", + "Ġfound ing", + "urn ame", + "Ġsk y", + "ĠPok mon", + "Ġval ues", + "Ġcap ac", + "ĠSm all", + "Ġarch ae", + "Ġdro pped", + "Ġgovern ments", + "ĠRap id", + "Le ague", + "ĠChem istry", + "Eng lish", + "o i", + "Ġg ar", + "ĠOb ama", + "Ġastron omer", + "ĠB ey", + "ir i", + "ĠEu rovision", + "Ġbas is", + "ĠBy z", + "Ġw orth", + "ĠP yr", + "ĠK ids", + "Ġhyd ro", + "Ġemerg ency", + "Ġw ound", + "ix on", + "lo ad", + "ĠAp oll", + "ĠParam ount", + "ĠV oice", + "ĠHar old", + "Ġslow ly", + "em ies", + "ist ical", + "Ġg ather", + "ĠDef ense", + "Ġperman ent", + "I C", + "ĠN y", + "Ġme ets", + "Ġlaun ch", + "gom ery", + "Ġl at", + "et o", + "ĠD ennis", + "og a", + "ok i", + "ĠMar in", + "Ġdis ab", + "ĠVal ent", + "iction ary", + "Ġel im", + "ĠJul ian", + "oca ust", + ": #", + "S e", + "Ġacc used", + "Ġclaim s", + "ĠAnim ation", + "Ġop in", + "ro id", + "ĠH ann", + "ĠNot e", + "Ġleaders hip", + "ad ian", + "ere ign", + "Ġcomp ound", + "amp s", + "ivers ary", + "ĠAd ventures", + "ĠNatural ized", + "ĠBroad cast", + "P r", + "f ielder", + "ĠD ra", + "ubl in", + "Ġcond uct", + "ĠTro phy", + "ĠHun ter", + "ĠHi ros", + "ĠT at", + "ĠM end", + "Ġdes ert", + "Ġform ula", + "Ġref erence", + "Ġauthor ity", + "Ġsuggest ed", + "R T", + "ag ne", + "Ġslight ly", + "ĠB ourg", + "ĠSat ur", + "Ġcelebr ated", + "ĠConfeder ate", + "Ġp urch", + "ĠF at", + "ens on", + "ĠFran z", + "ĠX ing", + "Ġpol ic", + "ĠGlob al", + "ĠS ay", + "Ġf ired", + "ĠC and", + "st ar", + "Ġrepresent ing", + "t ure", + "ĠTur in", + "Ġbatt les", + "ĠHeavy weight", + "ĠRout e", + "ĠC atherine", + "ĠR ight", + "ĠJ ar", + "ier ra", + "Ġstr ugg", + "ĠSant iago", + "ĠGra ce", + "ĠFam ous", + "Ġperforman ces", + "p oint", + "t i", + "Ġ18 65", + "Ġpar ishes", + "ĠEd die", + "ipp ed", + "Ġpark s", + "ĠBuff alo", + "Rh ne", + "k es", + "ĠM ik", + "iv ore", + "Ġgra v", + "Ġcapt ure", + "idel berg", + "g ie", + "t hen", + "Ġd ra", + "Ġal ive", + "Ġr ise", + "ĠZ oo", + "mph ony", + "ĠT ig", + "ce p", + "est on", + "Ġed ge", + "iform es", + "O T", + "c op", + "z le", + "or age", + "Ġf ur", + "Ġ13 0", + "Ġsent enced", + "ĠT ed", + "ag i", + "ĠCom ed", + "Ġexist ed", + "Ġw aves", + "Ġn eck", + "ĠPro file", + "ĠLou ise", + "ĠBeng al", + "ĠFried rich", + "Ġk ings", + "ĠNew ton", + "ĠAm ong", + "ĠMad ison", + "Ġar ran", + "Ġconstit ution", + "ĠM az", + "ĠN ation", + "ue z", + "ĠGh ost", + "s il", + "Ġt iss", + "Ġst ands", + "Ġextrem ely", + "up iter", + "ann i", + "ĠWil helm", + "ĠOrgan izations", + "Ġchampionship s", + "ĠAt hens", + "rid ges", + "Ġmole cules", + "SC O", + "S aint", + "Ġvol ume", + "Ġdou b", + "orig inal", + "ĠFollow ing", + "n ell", + "il ation", + "ĠN umber", + "ith m", + "Ġ18 63", + "ĠHot el", + "Ġoccup ied", + "le ft", + "ĠH old", + "Ġ10 1", + "Ġres istance", + "ĠCl ay", + "Ġnomin ations", + "Ġsaf e", + "ĠD ue", + "ign y", + "ĠBe aut", + "ĠHol ocaust", + "Ġsurv ive", + "Ġbal let", + "ĠC rick", + "ĠH erman", + "st ic", + "ĠProd uction", + "Ġexact ly", + "ĠMoroc co", + "b ody", + "h ost", + "om es", + "Ġst yles", + "ie v", + "iet ies", + "Ġsup pl", + "Ġcard iac", + "Ġ ult", + "ĠS v", + "ĠS ultan", + "ĠM n", + "ĠSp eed", + "ĠCol leges", + "ĠAnd y", + "ĠBas ic", + "Ġreport s", + "Ġor ange", + "Ġ18 64", + "Ġaff ect", + "ĠH ud", + "ĠW ald", + "ĠPed ro", + "ĠStu art", + "t ers", + "ĠEd in", + "Ġchar ged", + "Ġdr ivers", + "Ġcamp s", + "urd ers", + "ak s", + "ĠSt ef", + "ff ee", + "ah n", + "ĠPhil os", + "Ġpopular ity", + "Ġkid ney", + "b ow", + "um er", + "Ġtra ined", + "Ġmic ro", + "Ġan ime", + "orm s", + "Ġprint ed", + "Ġenc our", + "ĠMit chell", + "ĠRal ph", + "ĠD anny", + "Ġ18 40", + "ĠSh ir", + "Ġent ry", + "Ġmurder ed", + "Ġs ang", + "ol ves", + "alle l", + "ĠS yn", + "Ġpl us", + "Ġpart ners", + "Ġcont aining", + "Ġport ray", + "l ate", + "ar an", + "ĠR ico", + "Ġlead s", + "ĠEn vironment", + "Ġany one", + "Ġint elligence", + "forman ce", + "Ġord ers", + "el ia", + "Ġguilt y", + "on ed", + "ĠO D", + "ĠArch bishop", + "c ious", + "Ġr if", + "Ġsmall est", + "ĠHer bert", + "Ġdepart ments", + "haw ks", + "Ġl ayer", + "Ġform at", + "Ġdel iver", + "ĠWall ace", + "Ġfir m", + "Ġc os", + "Ġsurround ing", + "S L", + "ĠM aj", + "ĠTe le", + "Ġwe alth", + "Ġliter ary", + "ĠBibli ography", + "r ate", + "Ġc up", + "Ġsl ave", + "Ġproject s", + "ĠAle ks", + "r uct", + "it aine", + "ht e", + "ĠShin to", + "c ore", + "Ġm ig", + "ĠJ a", + "ĠTer ry", + "erst ate", + "Ġtreat y", + "ĠSpr ings", + "ĠSatur day", + "ĠN ext", + "Ġ18 62", + "Ġviol in", + "R C", + "Ġb an", + "ĠK ab", + "ge on", + "Ġj ur", + "ĠP icture", + "ate ur", + "ĠArch itect", + "ĠAmbass ador", + "ĠMick ey", + "at ra", + "ĠC ob", + "ĠM ack", + "Ġsp ons", + "ĠComm ander", + "bor ough", + "ĠMot or", + "P D", + "Ġal g", + "ĠJ oy", + "ĠHe idelberg", + "ant ry", + "ver y", + "sp ec", + "Ġform ation", + "Ġstr ing", + "Ġexp ensive", + "ĠHel en", + "Ġtransl ation", + "e ast", + "Ġ ur", + "ĠA ction", + "ĠG oth", + "ĠAll iance", + "Ġsl avery", + "ĠBen ed", + "ĠFer r", + "u in", + "Ġc aught", + "Ġc ards", + "ig s", + "ĠDiv isin", + "Ġdiff erences", + "ĠErn est", + "N o", + "p ear", + "ĠS ad", + "ĠB og", + "ĠL t", + "ra ph", + "h aps", + "ol ics", + "ĠL uke", + "Ġsp r", + "ĠPot ter", + "c ome", + "Ġd ram", + "ĠL ists", + "if ferent", + "ĠY onne", + "Ġm os", + "ĠFer din", + "ĠRay mond", + "ĠLoc al", + "it ol", + "ĠP eng", + "au er", + "Ġlim it", + "Ġmart ial", + "w orld", + "ĠY ellow", + "Ġcond ucted", + "Ġhapp y", + "ĠRom ans", + "ĠPied mont", + "in us", + "Ġb ones", + "Ġse lection", + "Ġad apted", + "Ġorgan isms", + "Ġcrit ical", + "r ical", + "Ġe ating", + "Ġ188 5", + "ĠAtt orney", + "Ġd aughters", + "Ġ188 2", + "Ġcycl ist", + "Ġconcer ts", + "M L", + "ĠB ear", + "Ġtr ip", + "ĠXing long", + "O C", + "b b", + "f are", + "Ġswim mer", + "ĠMikh ail", + "H A", + "Ġa ster", + "Ġf al", + "il er", + "ĠF ac", + "Ġsh rine", + "ĠCon stit", + "ĠAv iation", + "Ġmach ines", + "Ġpers ons", + "ĠR ah", + "ist ed", + "ĠU NE", + "b us", + "Ġl ose", + "ĠJ upiter", + "Ġper fect", + "Ġoper as", + "ĠPat ri", + "Ġexper iment", + "ĠS CAP", + "ific ations", + "Ġshort ly", + "u is", + "on na", + "ist ant", + "if icial", + "Ġte x", + "ash a", + "inc inn", + "Ġexp ress", + "Ġ188 3", + "ryst al", + "Ġpanc reat", + "ĠS art", + "Ġf an", + "Ġh arm", + "Ġplan ets", + "ĠKe ith", + "Ġl osing", + "ish i", + "ling ton", + "ĠMag ic", + "oc al", + "hel or", + "ĠEdin burgh", + "ot ton", + "Ġlawy ers", + "min ster", + "Ġnickn ame", + "r n", + "ĠS ylv", + "ĠP rem", + "ĠF ab", + "ĠProv inces", + "Ġb ranches", + "ĠP HO", + "ĠR ace", + "ĠK ush", + "ĠEx ecutive", + "Ġelectr ons", + "incinn ati", + "F ootball", + "p erson", + "Ġp eoples", + "ort un", + "ph a", + "Ġloc omot", + "ĠSchool s", + "Ġimp rov", + "Ġthous and", + "ĠF ace", + "Ġn it", + "os ev", + "ĠShe l", + "Ġinj ury", + "ĠBroad way", + "E P", + "ĠK un", + "oy a", + "Ġ187 3", + "ĠPeters burg", + "ĠM aps", + "Ġ15 9", + "Ġcommun ication", + "Ġfl o", + "Ġ188 6", + "Ġnovel ists", + "Ġrespir atory", + "Ġf ert", + "am o", + "ĠL an", + "ĠN ever", + "Ġcomm ission", + "Ġsent ence", + "ĠProd uctions", + "ĠM ul", + "ĠO st", + "ard y", + "ort ion", + "ĠGi ov", + "% .", + "ĠS ul", + "ick en", + "akes pear", + "r up", + "ĠG n", + "ul ated", + "Ġscreen writers", + "ish ops", + "ĠMc N", + "Ġhtt ps", + "Don ald", + "Ġimmedi ately", + "t ual", + "ĠO z", + "Ġch ap", + "ple ment", + "ĠComm ons", + "Ġsuper hero", + "Ġastron aut", + "ĠEngine ering", + "cl ass", + "anc ing", + "Ġcontin ues", + "ĠGrand e", + "SA C", + "ett i", + "Ġsub urb", + "Ġback ing", + "Ġmark ed", + "Ġhold ing", + "Ġcous in", + "ĠP ra", + "Ġl inks", + "ĠSt art", + "ars h", + "Ġsign al", + "ĠOt to", + "ĠColl ins", + "o ire", + "Ġt el", + "Ġa er", + "est yle", + "ĠSp ider", + "Ġrem ix", + "Ġfood s", + "ĠBos nia", + "ĠProtest ant", + "ĠS ony", + "ĠA my", + "ĠN eg", + "os lov", + "av ia", + "ie u", + "Ġcour ts", + "m od", + "Ġar med", + "ĠIs ab", + "Ġsever e", + "ĠCamp bell", + "Ġrespect ively", + "ĠCaus s", + "Ġhundred s", + "ĠCE O", + "Ġto wer", + "ĠG et", + "Ġ25 0", + "ĠUS D", + "ĠTom my", + "Ġc row", + "ĠA S", + "ĠM ust", + "ĠF alls", + "Ġst ick", + "amp a", + "Ġen emies", + "ym ph", + "Ġfish ing", + "ĠAD E", + "ĠNash ville", + "ĠL ock", + "ĠW here", + "Ġdo ctors", + "ĠPl ant", + "Ġopp onent", + "ĠJenn ifer", + "an ian", + "ig ation", + "Ġth in", + "ong e", + "Ġch oice", + "ĠMe an", + "Ġcat hedral", + "ĠAnim ated", + "ĠTog ether", + "Ġ18 68", + "oh n", + "Ġpass enger", + "ĠW ings", + "Ġse eds", + "lev el", + "Ġexpl orer", + "ĠSol ar", + "om ach", + "Ġch annels", + "Ġr ating", + "ĠSh akespear", + "Ġchild hood", + "Ġmess age", + "ĠA P", + "Ġh orn", + "ag s", + "ĠK ang", + "ĠGen eva", + "g ate", + "Ġs ed", + "ĠB iden", + "ĠG ill", + "Ġ18 30", + "ĠY ank", + "Ġj oint", + "Ġsub div", + "ĠServ ices", + "Ġbelong s", + "Ġweap on", + "Ġatm osphere", + "% )", + "j u", + "ul ate", + "Ġsecond ary", + "Ġathlet es", + "ĠA ur", + "ĠP rop", + "ĠU tt", + "ĠAn y", + "ĠCath olics", + "l en", + "Ġr ival", + "Ġstand ing", + "ĠUNE SCO", + "Ġs uit", + "Ġp rice", + "ht m", + "ow der", + "Ġind ic", + "Ġdec re", + "Ġann oun", + "ĠSus an", + "Ġs olution", + "ĠB uch", + "ĠH us", + "ĠL amb", + "mer ce", + "Ġsp ot", + "ren cy", + "ĠReg ional", + "Ġ188 1", + "Ġpancreat ic", + "ĠI ch", + "ĠAng lo", + "] ,", + "Ġs um", + "ĠC urt", + "ĠC inem", + "ou x", + "Ġfl av", + "p ent", + "p rod", + "Ġa im", + "ĠH im", + "umb ria", + "ĠPlan et", + "ĠC hel", + "am ents", + "ĠK rist", + "ĠBrit t", + "Ġident ified", + "Ġgoal keep", + "ĠYugoslav ia", + "f a", + "ar in", + "ĠGl as", + "ĠComm and", + "ĠColumb us", + "ocol ate", + "ĠSalv ador", + "ĠApoll o", + "b ird", + "p ine", + "ir us", + "Ġim pr", + "ĠPer formance", + "ĠHug o", + "Ġt im", + "so le", + "ok oh", + "ĠRe in", + "ĠLeon ard", + "Ġalt itude", + "Ġconcent ration", + "Ġ ),", + "ĠT ax", + "et ics", + "Ġcirc uit", + "Ġfoss ils", + "J apan", + "M P", + "Ġc ats", + "ĠS V", + "ĠN ear", + "ĠMan uel", + "ĠArt ists", + "ĠHam burg", + "ĠTurn er", + "c ell", + "ĠD raft", + "ĠK urd", + "Ġ3 60", + "ĠSh ang", + "Ġ187 9", + "ĠBow l", + "Ġb anks", + "e lection", + "Ġin her", + "Ġf ellow", + "ĠTw in", + "ĠEv ans", + "Ġg ene", + "Ġpol y", + "ĠDes cription", + "Ġthink ing", + "ĠLl oyd", + "ol ar", + "ĠF arm", + "ĠRo osev", + "Ġcult ures", + "Ġcard inal", + "ĠVen ice", + "ĠCauss ols", + "M y", + "h ai", + "Ġt end", + "ĠV it", + "Ġch air", + "Ġoff ices", + "Ġdep ending", + "ĠKn ights", + "ĠFrid ay", + "H S", + "ĠCast ile", + "Ġvis ual", + "ĠLin ux", + "Ġrom ance", + "ĠNaz is", + "ĠInd ians", + "ĠGerman s", + "Ġchar ges", + "ĠNapole on", + "okoh ama", + "l ock", + "ĠA ude", + "ĠD ublin", + "ĠG rey", + "ill on", + "19 62", + "ok es", + "sp ir", + "Ġfoc used", + "Ġkilomet res", + "ĠC rist", + "ĠOther s", + "Ġdis aster", + "Ġform al", + "Ġanim ation", + "Ġ188 4", + "ĠRog ers", + "Ġrow span", + "Ġbelief s", + "w oman", + "Ġd ream", + "ell ion", + "Ġsp ir", + "Ġ12 5", + "Ġfac ulty", + "ĠUn til", + "uss ion", + "Ġso ap", + "Ġsupport ing", + "ĠDep ression", + "ĠCzech oslov", + "Ġsit u", + "m other", + "ĠL il", + "ĠZ one", + "ĠNov a", + "ĠUr ban", + "Ġnewsp apers", + "Ġbi ographical", + "Ġfa ith", + "ĠTyp es", + "ĠA er", + "ĠC yr", + "ode on", + "ĠHol t", + "Ġimm igr", + "c os", + "ĠBe h", + "ĠMont gomery", + "Ġconserv ative", + "ĠComed ians", + "ount ain", + "ok o", + "amp ton", + "Ġphot os", + "A N", + "f inals", + "off icial", + "B ar", + "C W", + "Ġd ict", + "im ar", + "Ġnot hing", + "Ġund erground", + "ĠSch w", + "Ġcor resp", + "ĠUE SAC", + "ĠWag ner", + "ub a", + "Ġprim arily", + "Ġlo an", + "ĠParalymp ic", + "ĠRoosev elt", + "Ġw ings", + "Ġl akes", + "ĠF ur", + "ĠSp irit", + "oss ible", + "Ġdesc end", + "ĠNe il", + "r us", + "Ġ rit", + "re is", + "ch o", + "ember g", + "ĠAnt ar", + "Ġappro ach", + "Ġtalk ing", + "ĠVietn amese", + "Ġpal ace", + "Ġact ual", + "zer o", + "Ġbroadcast ers", + "A z", + "E M", + "ĠS oon", + "aw s", + "Ġdoes n", + "ĠVill age", + "Ġdem onstr", + "ĠEconom ics", + "Ġswim ming", + "Ġ187 1", + "Ġcor on", + "ĠSte el", + "ĠHaut s", + "ĠE t", + "ĠE is", + "ov i", + "ai ro", + "Ġw et", + "Ġs em", + "Ġf er", + "ĠA venue", + "Ġhe l", + "Ġmult i", + "wh o", + "ĠDar win", + "Ġang ry", + "6 00", + "Ġp ione", + "rat a", + "ĠMor ris", + "Ġmagn etic", + "edd ing", + "s ec", + "Ġm is", + "Ġl ingu", + "Ġ18 48", + "Ġ12 8", + "Ġincre asing", + "ĠWars aw", + "ĠC av", + "end ers", + "ĠCl a", + "Ġdec or", + "ĠBlack hawks", + "Ġadv ant", + "ĠBuddh ist", + "ĠS z", + "ĠS ig", + "ag awa", + "Ġregard ed", + "ĠEncyclop edia", + "speak ing", + "B ob", + "r ent", + "v an", + "ub s", + "Ġtr ust", + "Ġcolon ial", + "ĠMur phy", + "Ġinst all", + "Ġabs or", + "C ol", + "Ġf illed", + "Ġab bre", + "ĠRe lease", + "uck er", + "unn ing", + "Ġmeas ured", + "Ġox id", + "Ġcolon ies", + "Ġimpro ve", + "ĠK ate", + "19 59", + "se ason", + "Ġ18 67", + "is is", + "ĠIn vest", + "ĠV ern", + "ĠGe off", + "Ġsk ills", + "s er", + "ĠR af", + "ĠH ir", + "ĠTh ose", + "Ġtour ist", + "Ġpremier ed", + "ed o", + "ĠM obile", + "land ers", + "Ġest ate", + "Ġsqu ad", + "apt ist", + "ĠAleks and", + "u its", + "ĠG w", + "ab i", + "iz z", + "L C", + "ĠS ierra", + "Ġ18 57", + "Ġdo or", + "Ġmet ropolitan", + "ĠEconom y", + "ĠRac ing", + "P as", + "ĠP el", + "Ġn ut", + "Ġv ac", + "Ġor g", + "ĠSh rine", + "Ġquest ions", + "ĠJohann es", + "ĠC hess", + "iz ard", + "Ġj ourney", + "ĠSe an", + "ĠCy pr", + "Ġ ri", + "ĠS K", + "Ġd iet", + "Ġh ill", + "ĠL ef", + "Ġan throp", + "Ġab use", + "Ġpat ients", + "ĠOtt awa", + "Ġpot ential", + "ĠPyr nes", + "ar at", + "ic on", + "ĠG and", + "ack s", + "Ġ8 00", + "Ġsubject s", + "ĠCra ig", + "ĠAss oci", + "Ġtribut ary", + "ĠCong o", + "Ġrhy thm", + "ĠIsa ac", + "ĠFerdin and", + "ĠP ay", + "ĠK i", + "ĠOff icer", + "Ġjud ges", + "Ġnob le", + "ĠNickel odeon", + "us a", + "ĠCh a", + "te enth", + "ter y", + "urrican es", + "ĠSus sex", + "ĠJur assic", + "Ġin ternal", + "ĠH av", + "ĠCol lection", + "ĠNorth west", + "Ġred uced", + "Ġamount s", + "ic as", + "le e", + "ĠR est", + "ĠD oc", + "Ġprod uces", + "ĠDen ver", + "ĠJane iro", + "B N", + "Ġ10 3", + "Ġreg ist", + "Ġdec lar", + "Ġadv anced", + "Ġconnect ion", + "r tt", + "Ġw at", + "ro at", + "Ġen for", + "Ġ187 5", + "war f", + "ĠGreg ory", + "U N", + "ĠP le", + "op p", + "Ġeconom ics", + "ĠInt erstate", + "Ġtal ks", + "ĠS ind", + "ch ild", + "end a", + "ine e", + "ĠCl aud", + "ĠEv olution", + "Ġresult ed", + "ĠBulg arian", + "Ġlink ed", + "ol ished", + "ĠTr ust", + "ĠLind a", + "Ġunus ual", + "e o", + "Ġb one", + "ic ia", + "and al", + "19 61", + "ĠPop ular", + "ĠC ultural", + "Ġst omach", + "ĠU g", + "ĠFilm s", + "Ġp ed", + "Ġm i", + "ĠD aily", + "act ers", + "Ġspeak ing", + "Ġtemper atures", + "ĠSeb ast", + "in cluding", + "ĠA stron", + "ĠF uture", + "ter m", + "ĠV egas", + "k an", + "Ġp ink", + "ĠC ec", + "am ental", + "ĠH ad", + "man uel", + "ĠHa ute", + "ĠRena issance", + "ĠTas man", + "A A", + "ĠT ang", + "ack er", + "Ġrel atively", + "D P", + "Ġh ole", + "ĠH at", + "ĠL ane", + "ĠD ifferent", + "ur as", + "ur st", + "ĠN uclear", + "ĠAn a", + "ins ky", + "Ġcab inet", + "ĠShakespear e", + "Ġt ornado", + "ĠH az", + "Ġatt end", + "ĠN ancy", + "Ġlar g", + "Ġinter pret", + "Ġimport ance", + "Ġox ide", + "Ġphilosopher s", + "S c", + "Ġmar ine", + "Ġgen re", + "Ġcirc le", + "Ġreb u", + "ĠVers ion", + "un i", + "Ġr ice", + "ĠAr r", + "b ie", + "ĠA j", + "ĠM iy", + "ĠN eed", + "ĠK ay", + "ew here", + "ĠAnt i", + "Ġcomb ination", + "ĠGil bert", + "ĠWy oming", + "g ne", + "ĠL ah", + "id ad", + "ĠW es", + "ĠPr incip", + "ĠEd ition", + "int ers", + "ĠSy rian", + "Ġ187 2", + "Ġfix ed", + "ĠLegisl ative", + "Ġp ul", + "ot i", + "Ġst ages", + "uc ing", + "Ġbut ter", + "Ġup d", + "ĠTit an", + "ĠSud an", + "rtt emberg", + "Ġs ung", + "ĠF ly", + "ĠK iss", + "Ġ18 78", + "Ġro se", + "ier re", + "ĠPort land", + "Ġfem in", + "Ġspeak ers", + "ĠCa esar", + "ĠC elt", + "ĠP ep", + "ep lay", + "Ġdevelop ing", + "Ġrelig ions", + "Ġa st", + "Ġb anned", + "Ġg am", + "Ġ18 69", + "ĠAd olf", + "Ġgrow s", + "ĠRh ode", + "Ġcoast al", + "Ġbox er", + "rep rene", + "D S", + "Ġapp lications", + "16 6", + "Ġauthor ities", + "ĠJud ge", + "ot ed", + "ĠO ce", + "ĠCh ron", + "Ġsh ark", + "ĠChar acters", + "ocrat ic", + "Ġ187 6", + "ĠPic ard", + "Ġcapac ity", + "ĠD est", + "Ġhelp ing", + "ĠMiss ion", + "ĠDemocrat s", + "B e", + "ĠS eg", + "ĠS ites", + "Ġn aval", + "ie ge", + "Ġoff ers", + "ĠWest minster", + "ĠPhys iology", + "ĠMaur ice", + "Com t", + "ĠEthiop ia", + "Ġmax imum", + "Ġc as", + "Ġv ess", + "ĠY ang", + "ĠTh under", + "Ġclass ified", + "Ġnetwork s", + "AF TA", + "7 00", + "d r", + "al us", + "Ġb ed", + "Ġm ac", + "ran o", + "ĠKenn eth", + "Ġcycl one", + "ĠCrick et", + "Ġin ches", + "Ġro ots", + "ĠSh o", + "aj a", + "Ġcamp us", + "Ġopp osition", + "ĠRevolution ary", + "fam ily", + "Ġnecess ary", + "ĠM ut", + "ent o", + "ĠE ight", + "ĠY u", + "Ġcol leges", + "ĠArt icle", + "unn el", + "ĠCy cl", + "ĠMar x", + "Ġmark s", + "Ġstudy ing", + "Ġess ay", + "ĠAb u", + "mir al", + "ĠFem ale", + "g ow", + "ĠH yd", + "Ġun able", + "Ġpresent ers", + "ĠMah ar", + "Ġburn ed", + "re te", + "um ed", + "ert y", + "Ġdoc uments", + "ĠCru z", + "ĠSpeak er", + "A m", + "ĠD j", + "Ġpl astic", + "io let", + "Ġdep end", + "Ġexist ence", + "Ġfactor y", + "Ġg ain", + "ĠBar n", + "Ġair pl", + "ato es", + "ĠAnim al", + "Ġgal axy", + "8 00", + "l ive", + "le ased", + "Ġd io", + "Ġrel ative", + "Ġbusiness es", + "Ġw orn", + "Ġd ress", + "ĠH ugh", + "ov o", + "est ivals", + "ĠSh aw", + "Ġatt orney", + "enc ia", + "Ġkid n", + "est one", + "ĠAr c", + "az ines", + "ather s", + "Ġsequ ence", + "Ġphr ase", + "ĠA x", + "ur bs", + "Ġhigh way", + "Ġt ests", + "Ġdep uty", + "ij ing", + "ĠAbd ul", + "u ania", + "ĠM ann", + "ĠG ene", + "ĠW as", + "Ġcr isis", + "Ġwe igh", + "ĠSch m", + "ps ons", + "sur ance", + "Ġdial ect", + "Ġdisapp ear", + "ĠHer o", + "Ġair line", + "Ġ15 6", + "Ġadd ing", + "ĠPark inson", + "ĠCart oon", + "at em", + "Ġs weet", + "it led", + "ĠU m", + "uc er", + "ĠFran co", + "Ġgr anted", + "ĠBourg ogne", + "ĠB AFTA", + "ĠH ous", + "id al", + "og s", + "ĠBr ig", + "Ġfa ctors", + "g i", + "ĠM ade", + "ĠMan agement", + "ĠM all", + "ch ing", + "olog ies", + "Ġexp anded", + "Ġjust ice", + "Ġinj uries", + "ographer s", + "ĠLeban on", + "ro e", + "am as", + "ĠR us", + "ĠHe aven", + "Ġopp ortun", + "ĠTest ament", + "Ġchall eng", + "Ġdinosaur s", + "Ġs ort", + "Ġs udden", + "ĠD rama", + "Ġtal ent", + "t or", + "Ġe ighth", + "iss a", + "omet ry", + "ĠMod el", + "Ġball ads", + "ĠRac hel", + "f ly", + "ro up", + "ĠC P", + "ĠN adu", + "Ġth inks", + "19 56", + "Ġdis orders", + "ke ley", + "Ġequ ation", + "Ġh ired", + "Ġl in", + "Ġr ar", + "Ġun incorporated", + "Ġland sc", + "Ġred uce", + "ĠSqu ad", + "Ġ ign", + "Ġs urr", + "it us", + "as i", + "Ġm ir", + "ĠV ery", + "Ġsim pl", + "Ġphot ograph", + "ĠByz antine", + "ĠGiov anni", + "Ġhe ar", + "Ġ18 77", + "Ġwrit es", + "cent ral", + "Ġstat ement", + "Ġdef ense", + "ĠEs s", + "end orf", + "Ġ6 00", + "ĠSc ar", + "ract ion", + "Ġhead s", + "ĠTy rol", + "ĠHud son", + "Ġp ool", + "Ġm anga", + "ĠM ouse", + "ĠP att", + "ĠF itz", + "Ġder ived", + "ĠSand ers", + "Fran che", + "ĠBrook s", + "ĠKy oto", + "B undesliga", + "f olk", + "Ġb ud", + "ĠJ ung", + "oc ese", + "ĠIn s", + "Ġpurp oses", + "ial s", + "ric ultural", + "iz er", + "Ġatt ached", + "j ani", + "on omy", + "ĠS ou", + "ĠH ope", + "ir s", + "Ġk ick", + "ac le", + "Ġab d", + "Ġres erv", + "ĠAng l", + "Ġsuccess or", + "Ġnickn amed", + "eren d", + "ĠWar ri", + "ĠTw enty", + "ĠRet urn", + "ĠPur ple", + "Ġw ine", + "Ġb ord", + "Ġd ating", + "ĠP ast", + "Ġ18 59", + "Ġtall est", + "ĠC row", + "ĠH ig", + "ĠN an", + "Ġrem ove", + "itar ian", + "Ġclass ic", + "gr ade", + "ĠAlbert a", + "Ġans wer", + "ĠE vent", + "ĠThere fore", + "ĠCr im", + "Ġaud io", + "V al", + "ĠR ica", + "ĠG ren", + "ut a", + "Ġr ub", + "Ġ17 0", + "Ġdes pite", + "Ġmy stery", + "ĠKir k", + "found er", + "Ġhol iday", + "Ġlarg ely", + "A nd", + "h um", + "Ġt ube", + "ĠM ale", + "ĠJ ava", + "ov ina", + "ĠGabri el", + "on so", + "ch air", + "Ġg one", + "Ġcar n", + "Ġbehavi our", + "T e", + "in stein", + "ĠP ow", + "ĠCh ancellor", + "Ġsp oke", + "ĠBe ijing", + "Ġaut obi", + "Ġste am", + "ĠAmaz on", + "Ġt y", + "ĠN ature", + "ut ing", + "ĠHar vey", + "Ġref ere", + "Ġhors es", + "A M", + "Ġthe ater", + "ĠE ld", + "od on", + "ap est", + "Ġrep rod", + "Ġorgan ic", + "ĠArch ae", + "ĠWind s", + "ĠGen us", + "Ġmid fielder", + "Ġcritic ized", + "ĠColomb ian", + "in ations", + "ĠB omb", + "ĠK ra", + "20 22", + "15 0", + "Ġtyp ical", + "ĠSy mphony", + "ĠWat an", + "ymn ast", + "Ġst ops", + "ĠMar a", + "Ġbl ind", + "ĠSim psons", + "Ġconf erence", + "Ġstrong er", + "Ġin form", + "ĠRep ort", + "ĠPol y", + "Ġperiod s", + "ĠHa iti", + "ĠCop a", + "e i", + "at ics", + "Ġb ull", + "ĠD uck", + "Ġpr iv", + "Ġmil it", + "ĠBec k", + "ĠArd che", + "ĠS alt", + "ia h", + "Ġse es", + "ĠM ats", + "ĠJ azz", + "Ġre ady", + "ans k", + "Ġfind ing", + "bre ak", + "Ġsat ellite", + "leph one", + "h and", + "Ġpl anning", + "ĠV e", + "aj i", + "Ġpre fer", + "can ic", + "ĠM ang", + "ĠSard inia", + "h ima", + "ĠP ack", + "ĠK el", + "Ġacc ur", + "ĠBer keley", + "ĠMerc ury", + "B I", + "l ass", + "ir teen", + "st adt", + "19 58", + "app ed", + "Ġliber al", + "u ctors", + "ro ck", + "Ġad j", + "Ġpr ince", + "Ġmed ieval", + "Ġsound track", + "ĠCamer on", + "u il", + "Ġev olved", + "ĠSing er", + "ades hi", + "ĠEston ia", + "Ġdio xide", + "? \"", + "in ction", + "ish n", + "ĠTh ai", + "Ġcl im", + "Ġtr iang", + "Ġprincip al", + "ĠH ob", + "ĠD y", + "Ġn erv", + "os exual", + "Ġkill er", + "Ġvot ing", + "ĠFern ando", + "ĠMig uel", + "ĠF if", + "ĠMar ion", + "Ġres ident", + "Ġengine ers", + "Ġallow ing", + "Ġdet ails", + "ĠWat son", + "M ont", + "es is", + "ĠL ate", + "ĠCh an", + "ĠEd wards", + "Ġpre fecture", + "ĠRoll ing", + "Ġcam era", + "ĠSupport ing", + "at on", + "Ġs au", + "ĠT ree", + "Ġd iab", + "ĠR ush", + "ur ation", + "oc hem", + "Ġcomp ar", + "Ġim ag", + "ĠDisc overy", + "Ġfarm ing", + "ĠAbb ey", + "ĠWatan abe", + "z ig", + "is ations", + "em aker", + "19 45", + "ĠHind i", + "Ġspirit ual", + "Ġcontrovers ial", + "B O", + "ĠA ber", + "ĠM uch", + "ĠL akes", + "ĠAl tern", + "Ġex ists", + "ah a", + "ĠMc M", + "Ġfight er", + "ĠSim pson", + "ĠTran sit", + "Ġinit ially", + "Ġdefin ition", + "O n", + "Ġsc enes", + "ĠGu atem", + "ĠPicard ie", + "ĠProv ence", + "Ġhost s", + "Ġcomb at", + "ĠGh ana", + "Ġhunt ing", + "n ik", + "Ġc ore", + "ĠS weet", + "Ġm ort", + "ĠB ran", + "ĠK urt", + "Ġout er", + "Ġcricket ers", + "ĠLith uania", + "et ry", + "Ġpro gress", + "old s", + "Ġag ency", + "Ġcre am", + "ĠX V", + "ĠAlger ia", + "Ġtex ts", + "a a", + "ĠC anton", + "ĠE lement", + "out s", + "ipp ing", + "Ġsurv ey", + "ĠTod d", + "Ġimpr ison", + "in ja", + "ĠS old", + "ĠH ip", + "Ġg ram", + "Ġab and", + "ĠAr ena", + "Ġ11 7", + "Ġtrad ed", + "Ġresult ing", + "Ġfrequ ently", + "u ber", + "ĠT yler", + "Ġbe ar", + "Ġgu ide", + "ĠGer ald", + "n or", + "Ġ ib", + "Ġb in", + "Ġc oc", + "ĠT erm", + "ĠC incinnati", + "our ed", + "Ġshe l", + "Ġeduc ational", + "Ġer upt", + "Ġ ut", + "Ġt ick", + "ĠH EN", + "qu er", + "ern al", + "Ġ7 37", + "ah l", + "Ġcreat or", + "ĠBangl adeshi", + "Ġrestaur ant", + "d is", + "m aster", + "s l", + "ĠM is", + "ĠP and", + "ĠI z", + "ĠLa ura", + "Ġpar ent", + "ĠGl en", + "ĠSl av", + "Ġprom inent", + "Ġdiam eter", + "Ġtox ic", + "Ġchemical s", + "Ġb om", + "Ġin fl", + "ĠS umm", + "ĠH ab", + "ĠO il", + "ĠInd o", + "Ġgr ay", + "ĠAh med", + "Ġsecret ary", + "ĠJama ica", + "Ġs ens", + "ĠR ican", + "Ġan ch", + "ĠTer rit", + "Ġposs ibly", + "Ġpres ence", + "Ġ zero", + "on ies", + "ĠS uch", + "ov ing", + "ok ia", + "Ġpr inc", + "Ġgen es", + "Ġcop per", + "Ġcorresp ond", + "re cht", + "ĠC emetery", + "ĠF landers", + "ĠRef orm", + "ĠSh oot", + "ĠTr ad", + "ĠMon ey", + "Ġcitiz en", + "ĠRem ix", + "ĠChem ical", + "Ġelev en", + "Ġterror ist", + "ĠEpis ode", + "ĠBened ict", + "C AR", + "Ġthe olog", + "Ġl it", + "un te", + "ĠSp encer", + "ĠHel in", + "Ġgradu ating", + "Ġsen ator", + "1 10", + "Ġthe rm", + "ĠS ex", + "ĠP ut", + "ĠCh ad", + "orn e", + "per ors", + "oz o", + "ĠOper ation", + "ĠDuc hess", + "ĠM old", + "Ġal le", + "ac a", + "ĠEduc ators", + "N e", + "ĠP av", + "ra it", + "Ġopp osed", + "Ġsubst ance", + "E L", + "p et", + "t wo", + "Ġs outheastern", + "ay an", + "Ġv e", + "ĠGreat est", + "ĠProfess ional", + "Ġphilanthrop ist", + "ĠL ess", + "ĠV II", + "ant o", + "Ġle ct", + "Ġdef ensive", + "ĠSur v", + "c at", + "ch ang", + "Ġint ended", + "ĠCont rol", + "Ġgard en", + "Ġm aps", + "ĠF und", + "ver gne", + "ĠBra h", + "Ġexp ed", + "in ity", + "ĠC le", + "ĠB es", + "Ġv acc", + "Ġpri or", + "ĠGriff ith", + "ĠF ro", + "ĠLe af", + "com ing", + "emp ts", + "Ġsport speople", + "Ġteacher s", + "D own", + "F rench", + "Ġstat ue", + "ĠNe igh", + "Ġadv oc", + "Ġlow est", + "ĠKer ala", + "ov ereign", + "ĠWe ather", + "c ussion", + "Ġc ateg", + "rit z", + "ell ation", + "osp el", + "Ġwear ing", + "Ġeff orts", + "en zo", + "ĠC ord", + "il is", + "os ph", + "Ġpart ly", + "str uction", + "Ġinc ident", + "be k", + "Ġtechn iques", + "Ġpres idency", + "ĠCypr us", + "or ers", + "ĠP oll", + "ĠB ent", + "ib i", + "Ġaut onomous", + "ĠJul ia", + "ĠAar on", + "Ġa qu", + "Ġe leph", + "Ġ18 20", + "Ġatom ic", + "Ġshr ines", + "Ġin aug", + "ĠM TV", + "Ġd rop", + "Ġbe y", + "Ġv ary", + "Ġpar allel", + "Ġgoddess es", + "FF C", + "Ġspace craft", + "ĠPalest inian", + "ĠNorm andy", + "Ġf ib", + "ĠM ath", + "ag ar", + "Ġtw in", + "Ġnew ly", + "Ġcol lected", + "ĠBas il", + "Ġstates man", + "ĠM urder", + "im p", + "Ġst rike", + "art a", + "ey er", + "Ġex erc", + "ĠEd mund", + "ĠAb original", + "Ġeffect ive", + "Ġcorn er", + "ĠBroadcast ing", + "Ġb ond", + "ĠF isher", + "Ġinv ited", + "Atlant iques", + "Ġ {", + "it u", + "Ġp hen", + "ĠA w", + "ĠR uth", + "Ġper haps", + "Ġsupport s", + "adu ate", + "ĠSol omon", + "P al", + "19 55", + "Ġse ems", + "ĠCan al", + "Ġrul ers", + "ĠBut ler", + "ĠBuddh ism", + "Ġ1 18", + "ĠJ ak", + "Ġrele ases", + "ĠEx per", + "Ġpass ing", + "Ġpromot e", + "ĠCher ny", + "Aust ral", + "ag ua", + "ĠAd venture", + "Ġrecord ings", + "ĠBry an", + "9 00", + "Ġh at", + "Ġ8 50", + "Ġ12 7", + "Ġproduc ing", + "Th is", + "rupt ion", + "ĠGust av", + "h ausen", + "ĠS ent", + "Ġ- -", + "Ġind igenous", + "Ġdec ides", + "inc umbent", + "ĠSpec ies", + "ĠErn st", + "ĠUtt ar", + "Ġf it", + "ĠI w", + "oc ene", + "Ġpr incess", + "ĠPalest ine", + "ill ing", + "Ġpart icle", + "Ġland ing", + "Ġmin ing", + "ĠPan ama", + "ĠEston ian", + "ĠA ri", + "ĠL eop", + "Ġv ow", + "ph is", + "ĠPro per", + "Ġtran sp", + "ĠMark et", + "Ġsuccessful ly", + "Ġc able", + "Ġh ills", + "Ġsp end", + "21 3", + "Ġapp ar", + "ĠRe ception", + "Ġappro ved", + "Ġpeak ed", + "Ġun cle", + "ĠSon ic", + "Ġentire ly", + "Ġshe ep", + "Ġsk ull", + "Ġrul ing", + "Ġmass ive", + "Ġviol ent", + "Ġpen alty", + "ĠAuthor ity", + "ĠHiros hima", + "ĠGlas gow", + "h al", + "ĠP ick", + "ĠR he", + "ĠK as", + "ip per", + "Ġbey ond", + "m ith", + "Ġp orn", + "ĠB ak", + "ĠB ath", + "Ġl es", + "ĠJ or", + "ĠSe oul", + "Ġcomm ittee", + "Ġinflu ential", + "rie ved", + "ĠLy rics", + "ig ue", + "st yle", + "ĠV iol", + "Ġar rang", + "ĠPr inc", + "ĠRich mond", + "Ġrelationship s", + "Ġinstit utions", + "P ar", + "S up", + "s i", + "ĠF olk", + "Ġsuggest s", + "Ġvisit ors", + "ĠMichel le", + "Ġfal se", + "ĠT all", + "ĠC ad", + "ĠM orning", + "od ia", + "Ġapp lication", + "sh aped", + "Ġreact ions", + "Ġqual ified", + "an th", + "ĠC N", + "Ġal gor", + "ec a", + "und a", + "Ġsub sequ", + "ĠJust in", + "ĠOak land", + "Ġsched uled", + "Ġs isters", + "ĠH erm", + "og an", + "ĠMar g", + "Ġro of", + "Ġ17 90", + "Ġdec isions", + "Ġrecogn ition", + "Ġtalk ed", + "stan bul", + "vo iced", + "isp here", + "E n", + "r ag", + "ĠB il", + "Ġch amber", + "Ġ18 66", + "ĠD oll", + "Ġst ret", + "Ġinc orporated", + "Ġ187 4", + "Ġrestaur ants", + "Ġhousehold s", + "ĠSart he", + "l ings", + "v ar", + "ĠM ethod", + "ad ors", + "ĠAmer icas", + "Ġ18 54", + "Ġtrans form", + "agon ist", + "Ġmem orial", + "Ġbeaut y", + "l u", + "r uction", + "v oice", + "ĠNe u", + "ĠHug hes", + "ĠW ang", + "im i", + "Ġrec omm", + "mon ary", + "Ġmet als", + "uth ors", + "c ing", + "m ade", + "Ġt ank", + "Ġc rops", + "ĠS aints", + "ĠL ak", + "ess ions", + "Ġcarry ing", + "ĠLud wig", + "ĠCherny kh", + "v or", + "w ers", + "Ġt ort", + "er r", + "Ġm al", + "Ġ10 9", + "ĠCon st", + "ĠGu ild", + "amb ia", + "Ġprogram me", + "arch y", + "Ġel der", + "Ġtest ed", + "ĠU z", + "ĠCar lo", + "Ġloc ations", + "Ġhy per", + "ĠOcc itan", + "ĠB ranch", + "and om", + "Ġv eter", + "Ġdesign s", + "ĠR AF", + "ĠTe en", + "ĠTre as", + "Ġsynd rome", + "ĠB ag", + "ber ger", + "Ġte a", + "yl a", + "Ġmod e", + "ĠHal f", + "Ġpat ient", + "E D", + "I R", + "W rttemberg", + "Ġdist ingu", + "Ġmix ing", + "Ġsett ing", + "f ootball", + "Ġst ress", + "ĠV III", + "Ġr id", + "Ġ13 5", + "ull ivan", + "Ġent reprene", + "Ġrock et", + "Ġbre ad", + "Ġcontrol s", + "ĠNap les", + "Ġsyn thes", + "Ġprote in", + "Ġf ine", + "ĠR i", + "ĠL ink", + "Ġas ks", + "Ġbe ach", + "ĠZ imb", + "ĠNor folk", + "Ġass ault", + "Ġann iversary", + "ĠEth nic", + "G u", + "on c", + "Ġp upp", + "ĠF oot", + "ĠPar ag", + "Ġvis ible", + "Ġcirc um", + "Ġnort heastern", + "E l", + "I P", + "ĠP ent", + "Ġpre late", + "ĠEm ma", + "Ġgr ad", + "ival ent", + "Ġwor st", + "c ons", + "ĠS ey", + "ag ers", + "Ġst able", + "ĠPr ison", + "enn es", + "Ġbl og", + "ĠFin ance", + "ĠVol leyball", + "pro fit", + "I tal", + "Ġc attle", + "Ġp up", + "ĠT ake", + "ĠB elf", + "Ġle af", + "ĠEu rop", + "ĠRe ich", + "Ġfun eral", + "Ġhous ing", + "cep ts", + "or ian", + "Ġs overeign", + "ing o", + "Ġto ol", + "ĠL ic", + "iv ision", + "ber y", + "app ing", + "Ġtechn ical", + "Ġprec ip", + "c ount", + "re f", + "ĠA LA", + "om o", + "ĠR u", + "eg ovina", + "Ġdep ends", + "Ġart ificial", + "ĠGl enn", + "Ġtro uble", + "Ġbreak s", + "ĠCab inet", + "Ġstre ets", + "v ideo", + "Ġp urs", + "ĠI TV", + "Ġdr iving", + "ĠCorn wall", + "Ġconstitu encies", + "l ater", + "er ts", + "Ġto ward", + "ĠI stanbul", + "ĠL az", + "Ġch ore", + "Ġ18 58", + "ph alia", + "Ġag riculture", + "ĠPr ussia", + "ĠBr uins", + "Ġadv is", + "Ġsuff ering", + "Ġorg ans", + "g ang", + "im ental", + "Ġar cher", + "Ġcont rast", + "ten eg", + "ĠAll ied", + "Ġclos er", + "ĠF ra", + "ĠE ff", + "Ġ13 8", + "Ġatt empts", + "Ġmod er", + "Ġeven ing", + "Ġs ax", + "ĠA ube", + "oc c", + "ĠY osh", + "ild a", + "Ġ10 6", + "Ġcont emporary", + "Ġmag ic", + "Ġmag azines", + "ĠDef ence", + "ĠCamer oon", + "Ġrough ly", + "ĠP ath", + "ch w", + "ĠCh uck", + "ina e", + "uk ee", + "let t", + "Ġpresident s", + "ĠUnd erground", + "al in", + "Ġst ored", + "ĠAd ela", + "Ġgener a", + "bor o", + "Ġtechn ique", + "Ġmeas ures", + "ĠVo ices", + "Ġflu id", + "O M", + "ax ies", + "Ġreturn s", + "Ġjun ior", + "a fter", + "Ġc e", + "ĠD atabase", + "Ġcan c", + "oy al", + "ĠOr d", + "Ġpre par", + "Ġconver ted", + "ĠBritt any", + "u rope", + "ĠN okia", + "if ically", + "Ġco at", + "2 50", + "Ġa id", + "ĠM ammals", + "ir th", + "ĠW i", + "ĠK ot", + "Ġas k", + "ĠCh all", + "Ġex clus", + "Ġph ase", + "ĠAll ier", + "Ġexpl ain", + "ĠTowns hip", + "ĠTour ism", + "s ar", + "ĠN aval", + "ok er", + "Ġund erg", + "Ġmay ors", + "ĠFl ash", + "ĠKen ya", + "ĠS ister", + "ĠS outheast", + "Ġis ol", + "im o", + "un ct", + "art e", + "Ġpl ot", + "Ġinc idents", + "Ġdrink ing", + "Ġpunish ment", + "ĠH omer", + "ĠDel ta", + "Ġmathemat ical", + "Ġgrand father", + "ĠRelig ion", + "ĠAu vergne", + "ĠLenn on", + "im et", + "Ġ18 56", + "Ġprocess es", + "Ġtransfer red", + "M on", + "ed e", + "ĠThe ater", + "ĠF oster", + "Ġv ent", + "ĠCh i", + "Ġ17 5", + "ĠAlb ania", + "ĠMach ine", + "ĠCla ude", + "Ġadvant age", + "Ġdiab etes", + "A E", + "at ore", + "Ġp ale", + "ĠC hes", + "ĠP ubl", + "ĠR ider", + "ĠL on", + "ep age", + "ric ks", + "Ġpr ay", + "Ġsm art", + "Ġs ample", + "urr ing", + "ĠBra b", + "ĠAlexand ria", + "ĠB anks", + "el lect", + "Ġth irty", + "Ġre aching", + "ĠV illa", + "ud es", + "ath ing", + "Ġsp y", + "Ġpo le", + "ĠClass ical", + "Ġpron ounced", + "ĠRoc he", + "e enth", + "Ġb oss", + "ro se", + "Ġan aly", + "19 54", + "Ġ16 8", + "ĠNAS CAR", + "ĠSoft ware", + "Ġm o", + "av an", + "Ġhe aring", + "ĠAn to", + "act s", + "ĠCommission er", + "Ġrepe ated", + "as m", + "oot s", + "Ġund ers", + "Ġrequ est", + "former ly", + "h of", + "as o", + "Ġh osp", + "ĠCh ase", + "Ġdis asters", + "13 0", + "ij a", + "Ġobs erved", + "Ġhar mon", + "Ġt ill", + "er als", + "Ġc ra", + "ĠT ab", + "ĠF antasy", + "ĠD ictionary", + "Ġk g", + "ut ter", + "rat ing", + "Ġbi ological", + "Ġconstr ucted", + "Ġinvestig ation", + "d est", + "av i", + "Ġex am", + "ĠAr ctic", + "ĠSc he", + "Q u", + "Ġl atter", + "et z", + "and ie", + "Ġ14 5", + "az e", + "Ġpopul ations", + "Ġmix ture", + "ĠCa uc", + "ĠLatv ia", + "b ridge", + "en arians", + "Ġp ush", + "ĠP ly", + "ay e", + "ph ib", + "ĠRes erve", + "ĠSant os", + "ĠStan ford", + "ĠBir th", + "Ġmagn itude", + "S an", + "ic us", + "Ġm ate", + "ĠC S", + "Ġcom ics", + "Ġco ffee", + "Ġsup erv", + "Ġbroad caster", + "Ġinvol ves", + "Ġcrow d", + "ĠF ell", + "ag re", + "Ġocc asion", + "Ġi P", + "ĠSpring field", + "ĠIndust ry", + "A d", + "B est", + "e j", + "h l", + "Ġf iles", + "Ġm ent", + "oc ent", + "Ġmain land", + "omin ated", + "Ġexper t", + "M art", + "h ill", + "ĠE ve", + "Ġst orage", + "Ġ18 15", + "ĠAl berto", + "isc her", + "wa ukee", + "ĠCirc le", + "ĠHerz egovina", + "ĠLef t", + "ĠT usc", + "Ġm oons", + "ĠC el", + "Ġd ivers", + "ell es", + "b ian", + "Ġw ire", + "Ġh orm", + "ess ed", + "ĠAir ways", + "ĠLu igi", + "Ġoccup ation", + "Ġimpro ved", + "Ġwound ed", + "1 20", + "F or", + "Ġs aint", + "Ġfor g", + "Ġres idence", + "ĠCanad iens", + "ĠMon teneg", + "ush ima", + "Ġbomb ing", + "ĠOw en", + "Ġo d", + "ĠH ass", + "ĠF uj", + "art s", + "ap a", + "Ġsp ots", + "Ġdec ade", + "ĠMet al", + "Ġro utes", + "pt ion", + "Ġdec ades", + "Ġep ic", + "Ġsett lers", + "Ġconqu ered", + "Ġkeyboard s", + "ĠKazakh stan", + "Ġdisab ilities", + "ĠParag uay", + "ĠL ie", + "19 57", + "ĠMan it", + "ĠFrank furt", + "Ġthe at", + "ĠF ul", + "uk h", + "ĠX X", + "ĠCap itol", + "Ġche ese", + "ĠMap le", + "s is", + "ĠT ampa", + "ĠP ublishing", + "19 50", + "ĠEd gar", + "Ġorgan isation", + "Ġmin ute", + "ĠAcadem ics", + "ĠP iet", + "ĠB od", + "ĠN athan", + "est ive", + "ac ional", + "ys c", + "Ġbelie ves", + "ĠVol ume", + "ĠTeh ran", + "B rit", + "ĠT aj", + "ĠC ategory", + "ĠP unk", + "ĠH ed", + "ĠW end", + "ut ation", + "Ġcommun ist", + "ĠPet e", + "Ġfle et", + "g art", + "ĠJ in", + "Ġsp elled", + "Ġ15 5", + "Ġ14 7", + "ĠAm endment", + "fect ures", + "ught on", + "ĠLuc as", + "utt le", + "ĠOce ania", + "Ġrar ely", + "N orm", + "c ement", + "e on", + "ĠC ode", + "ĠG ate", + "Ġcon sole", + "ĠMer ced", + "Ġdanc ing", + "Ġmer ch", + "ĠPear l", + "ĠF A", + "Ġ7 00", + "ĠJul ius", + "Ġfac ilities", + "Ġregular ly", + "ĠSic ily", + "G M", + "Ġs ke", + "ĠK D", + "ul i", + "ab we", + "Ġrep ublic", + "Ġinv aded", + "Ġext reme", + "Ġdanc ers", + "ĠBurn s", + "Ġo v", + "ĠM alta", + "ac les", + "Ġus ual", + "Ġpr ies", + "Ġgold en", + "ĠAzerbai jani", + "Az ur", + "Ġsax oph", + "Ġt urb", + "Ġc hest", + "oc ide", + "red ited", + "che ster", + "ĠWith out", + "ĠRh odes", + "Ġfrequ ency", + "ub ble", + "Ġ18 21", + "Ġloc ality", + "Ġpar as", + "Ġfew er", + "ĠOrigin ally", + "Ġarran ged", + "c ope", + "ĠA ch", + "ĠL ear", + "Ġre aches", + "Ġse lect", + "ĠAl g", + "ement ia", + "Ġcompos ition", + "ĠCard inal", + "Ġexplos ion", + "ĠEug ene", + "ep pe", + "Ġ18 44", + "Ġkn ows", + "pp ing", + "Ġhor iz", + "Ġsen ators", + "Ġpit cher", + "uccess ful", + "ĠOD AS", + "A s", + "I M", + "f ight", + "h n", + "Ġp ure", + "ĠT i", + "el in", + "ag ram", + "Ġst eal", + "Ġbe ings", + "ĠV ent", + "Ġim plement", + "Ġper cussion", + "ĠQ ur", + "Ġtax es", + "ĠBud apest", + "ĠT ul", + "ĠT oul", + "ĠMem phis", + "e a", + "ĠT ong", + "ĠM am", + "ĠO ct", + "ip her", + "Ġ18 37", + "Ġtr ump", + "ĠFl ag", + "Ġjoin ing", + "ĠJo el", + "Ġcomed ians", + "Ġattempt ed", + "ĠBald win", + "ĠS ed", + "ĠC u", + "ĠC ou", + "ol and", + "Ġh a", + "Ġsh orter", + "Ġtr uck", + "Ġeduc ated", + "Ġexper i", + "ĠBol ivia", + "Ġthe rap", + "Ġl ieutenant", + "col m", + "Ġ18 10", + "Ġ15 8", + "21 0", + "Ġ14 8", + "ĠIs le", + "mon ton", + "Ġjoin s", + "Ġh oles", + "ĠG P", + "Ġcon vers", + "Ġbre aking", + "ĠFin ally", + "r un", + "ĠV aud", + "ond o", + "Ġstand ards", + "ĠPres cott", + "Ġcomment ator", + "ĠGian ts", + "Ġprecip itation", + "A L", + "P resident", + "o an", + "at che", + "Ġc od", + "as ant", + "as ks", + "Ġp y", + "ĠLe eds", + "ĠBr istol", + "ĠTr ip", + "Ġem pt", + "ĠOf ten", + "Ġstep s", + "Ġunderst anding", + "Ġheav ily", + "m iss", + "Ġf ung", + "ĠA ub", + "ĠR iv", + "ĠN ixon", + "Ġsp aces", + "Ġpred ators", + "Ġobtain ed", + "Ġtiss ue", + "ĠElement ary", + "g ary", + "ĠM om", + "ĠP aint", + "ĠN ine", + "ĠO nd", + "ĠW ol", + "ord e", + "ĠY as", + "Ġ13 7", + "Ġstr uck", + "utt ing", + "ĠFa ctor", + "ĠTransport ation", + "Ġpolic ies", + "ĠLt d", + "g l", + "s ol", + "er as", + "ĠC airo", + "ĠB aptist", + "ur ai", + "Ġre un", + "ĠLe aders", + "Ġro ot", + "uct ive", + "ĠPr ivate", + "ĠCar n", + "ĠAnd ers", + "ĠTr iple", + "e lected", + "er k", + "ĠU eda", + "ire ct", + "ind a", + "Ġcre ates", + "ourn aments", + "Ġexp ression", + "Ġexp ansion", + "ĠTra vel", + "Ġop ens", + "ĠSebast ian", + "er i", + "Ġb ush", + "ĠT ournament", + "Ġ18 51", + "ĠMar ath", + "Ġj ail", + "Ġwrit ings", + "Ġref lect", + "-- --", + "Ġdeterm ined", + "ĠAthlet ics", + "ĠDiam ond", + "h or", + "p at", + "r ates", + "ĠB ever", + "ĠGu j", + "ĠTer ror", + "Ġspeak er", + "ĠTre k", + "Ġpsych ology", + "ĠHein rich", + "ĠS ag", + "Ġf ires", + "ov erty", + "ĠK in", + "19 53", + "19 52", + "Ġpro state", + "ĠZ o", + "rip ts", + "ĠGal axy", + "\" :", + "r ons", + "at us", + "Ġcomp lic", + "Ġcl oud", + "uss els", + "ull ah", + "ĠRock y", + "Ġgal axies", + "Ġprote ins", + "Ġsav ed", + "ĠT ir", + "ĠFran ois", + "ĠEd u", + "ĠHis pan", + "ĠSm ack", + "Ġport ion", + "Ġlegisl ature", + "C ar", + "an ion", + "ĠL iv", + "Ġ18 55", + "ĠMil waukee", + "ĠMal colm", + "Ġant ib", + "Ġfeel ing", + "ĠPul itzer", + "' ll", + "P ort", + "c in", + "l ik", + "t ype", + "av ier", + "ĠLad ies", + "ĠAgain st", + "O N", + "as is", + "ian e", + "Ġv ision", + "Ġpro ved", + "ĠY a", + "ĠY ale", + "Ġra ise", + "ĠBl oom", + "Ġdem ocracy", + "ĠCont inental", + "ĠPhill ips", + "Ġdraft ed", + "S ec", + "Ġs urname", + "ĠC umbria", + "ĠF ind", + "ĠD aw", + "ĠE k", + "and ro", + "ĠIn v", + "ap se", + "Ġtour ists", + "ĠElect ronic", + "ic z", + "ĠH ers", + "th al", + "Ġ18 12", + "ĠDor othy", + "Ġdra wn", + "Ġd warf", + "ĠMan ager", + "Ġstorm s", + "Ġwor se", + "ĠBenn ett", + "ĠAngl ican", + "Ġbord ered", + "ĠOccitan ie", + "l ain", + "s sel", + "ĠS aw", + "Ġm urders", + "ĠM umb", + "ĠE b", + "ĠE lectoral", + "ĠAl ong", + "ah an", + "Ġear n", + "ĠMc L", + "Ġcur rency", + "ĠTechn ical", + "ĠCard inals", + "Ġancest ry", + "ĠChart s", + "Ġrecip ient", + "en stein", + "Ġin g", + "ĠH appy", + "et ical", + "Ġse ctions", + "ĠPal m", + "Ġappear ing", + "ĠMon ster", + "Ġcharacter istics", + "ĠHigh ness", + "ĠBas se", + "Ġtrad ing", + "ĠJul ie", + "Ġnorthwest ern", + "Ġfarm ers", + "o ise", + "s elling", + "ĠSt re", + "ograph ics", + "ĠOr land", + "Ġplan es", + "wh ile", + "ĠBre ak", + "C te", + "E urope", + "u oka", + "an z", + "ĠS ang", + "Ġl oved", + "Ġpl ain", + "ric es", + "Ġag es", + "Ġ11 6", + "Ġbre eds", + "Ġreturn ing", + "Ġneigh bour", + "ĠSerge i", + "Ġg ymnast", + "ĠSh adow", + "ĠAdela ide", + "e qu", + "in ts", + "ĠA T", + "ĠM atch", + "ĠP on", + "ov al", + "ĠU C", + "ĠEm il", + "Ġfall ing", + "Ġexhib ition", + "ĠZimb abwe", + "n ew", + "Ġb otan", + "Ġn inth", + "ĠE RI", + "Ġsc iences", + "Ġintrod uction", + "Ġtest ing", + "ĠFle et", + "Ġopin ion", + "Ġc le", + "ĠT alk", + "ob e", + "Ġco aches", + "Ġocc as", + "Ġmechan ical", + "Ġcrim inals", + "U C", + "g ard", + "t r", + "as ht", + "ĠC ele", + "ĠW ak", + "ĠK ham", + "ĠHe at", + "16 0", + "Ġprov incial", + "Ġcr ust", + "west ern", + "Ġtrad itions", + "ĠMax im", + "ĠManit oba", + "a uc", + "i u", + "Ġs ad", + "Ġc orpor", + "ĠR um", + "Ġg rey", + "ĠK om", + "ĠArch ive", + "ĠMarc us", + "n oon", + "Ġs itting", + "og o", + "enc ing", + "str ong", + "h all", + "ĠC it", + "ĠV or", + "ĠV il", + "ock et", + "Ġdis k", + "Ġwar ri", + "Ġfilm ed", + "ĠMor i", + "Ġgen res", + "Ġexec ution", + "Ġpregn ant", + "Ġimmigr ants", + "Ġin ner", + "ĠS et", + "ĠH ur", + "19 0", + "Ġdefe ating", + "Ġarm ies", + "Ġemploy ees", + "ĠKush iro", + "z an", + "ol ith", + "Ġn et", + "Ġn est", + "fl ower", + "Ġconnect s", + "1 13", + "g io", + "Ġd ementia", + "ĠCh amp", + "own ed", + "ĠAl c", + "ĠAl pes", + "ĠAr med", + "Ġ10 2", + "az i", + "Ġoper ates", + "Ġang le", + "Ġf ra", + "ĠC reat", + "Ġwas te", + "ĠG as", + "ang ered", + "Ġcall ing", + "Ġ15 00", + "ĠCal vin", + "Ġsw ord", + "Ġacqu ired", + "Norm andie", + "S w", + "g ender", + "Ġform ally", + "Ġsurv iving", + "asc ar", + "Ġqual ification", + "Ġfru its", + "Ġwalk ing", + "Ġcert ified", + "Ġexped ition", + "ĠPly mouth", + "it ic", + "ĠV iew", + "Ġkeep ing", + "Ġbad ly", + "Ġwood en", + "Ġcook ing", + "Ġresc ue", + "M I", + "Ġs u", + "ĠF iction", + "Ġexper iments", + "ĠCamp aign", + "ĠHindu ism", + "CD P", + "f ried", + "it ches", + "ol ve", + "Ġl aid", + "ĠPl ate", + "Ġfollow ers", + "ĠEmp ress", + "Ġgener als", + "ĠAv iv", + "verse as", + "ĠCelt ic", + "Ġbud get", + "Ġentreprene ur", + "ĠS of", + "ĠS leep", + "ol an", + "ĠCh iba", + "Ġ18 47", + "ĠMar tha", + "Ġmon aster", + "ĠMal ay", + "ĠRod rig", + "ĠKan eda", + "Ġnom inee", + "ĠSloven ia", + "Ġ ions", + "en ess", + "Ġp ig", + "ent le", + "ian ts", + "ill ery", + "Ġhe ir", + "18 0", + "ĠCal gary", + "ĠDev on", + "a ctor", + "ar u", + "it ime", + "ĠR ugby", + "Ġpro ced", + "Ġland fall", + "Ġphysic ists", + "Ġchrom os", + "claim ed", + "Ġcomplic ated", + "Ġt ask", + "Ġw ides", + "ĠT otal", + "ĠM ason", + "ĠD ame", + "ĠN ou", + "Ġsh ut", + "21 8", + "enn ium", + "Ġdesc ription", + "ĠPhys ical", + "ĠMond ay", + "Japan ese", + "M D", + "Ġt ied", + "ĠM asters", + "ĠB etty", + "em e", + "Ġhe lic", + "Ġag encies", + "Ġ16 7", + "lin ed", + "Ġdem and", + "ĠSom ers", + "L ove", + "he v", + "ĠT able", + "Ġr ic", + "ĠEx change", + "Ġfeel ings", + "ĠConstant in", + "c ase", + "on ly", + "Ġm ph", + "Ġbe et", + "Ġcon vention", + "uc l", + "ĠBr ussels", + "ĠGu itar", + "Ġent ers", + "ĠOut standing", + "ĠStat istical", + "Ġminor ity", + "ipe i", + "Ġparliament ary", + "ĠTunis ia", + "Ġib n", + "Ġd ated", + "Ġsc hem", + "Ġwork er", + "Ġtr uth", + "ĠEd monton", + "Ġed ited", + "Ġef fort", + "Ġsol ve", + "ĠCr us", + "Ġkeep s", + "Ġthreat ened", + "ĠSoph ie", + "ĠGuatem ala", + "R eg", + "d al", + "w al", + "er ia", + "ĠN ed", + "Ġran ges", + "ĠSlov akia", + "Ġtel esc", + "b ur", + "o ids", + "Ġthe ories", + "Ġin iti", + "Ġf il", + "Ġp apers", + "ĠL ions", + "ĠD iana", + "ok ing", + "Ġcol ours", + "str ument", + "Ġhum id", + "Ġconf used", + "ĠPhilipp ine", + "Ġtravel ed", + "ĠLes lie", + "Ġrain fall", + "uv ian", + "ĠVenezuel an", + "Ġcoin s", + "O ne", + "re ck", + "ep hew", + "ĠSt age", + "if a", + "Ġun iform", + "eh ogne", + "ĠDeb ehogne", + "ĠGuard ian", + "itu aries", + "t ran", + "Ġs an", + "ĠJ ura", + "ĠW ed", + "Ġres emb", + "ĠPap ua", + "Ġcras hed", + "Ġsac red", + "ĠLibert y", + "ĠOrland o", + "i ologist", + "p read", + "y ard", + "ĠL ett", + "Ġn av", + "ĠCom merce", + "ĠAng els", + "ĠMin ne", + "ĠOpp osition", + "ĠAleksand r", + "N HL", + "b rid", + "ĠT roy", + "ĠC ry", + "ĠC ome", + "Ġsh aped", + "Ġfight s", + "Ġprison er", + "ĠAqu itaine", + "Ġap artment", + "Ġb ishops", + "ĠJ esse", + "Ġpro of", + "Ġ17 7", + "ĠPar ad", + "Ġdu o", + "Ġinit ial", + "b ane", + "m ate", + "Ġt ournaments", + "ĠD ale", + "ĠE g", + "ĠW atch", + "Ġ9 00", + "uch y", + "Ġmet er", + "ĠWW F", + "Ġmechan ics", + "Ġconst ellation", + "h ab", + "Ġa head", + "Ġf ame", + "ĠF ont", + "Ġor ient", + "ant i", + "Ġsh ops", + "Ġthem es", + "ĠMc Donald", + "ĠStev ens", + "Ġhon our", + "Ġfast est", + "ĠGeoff rey", + "is abeth", + "Ġ18 45", + "Ġdis pl", + "ĠCar r", + "Ġsk ier", + "ibr aries", + "Ġvict im", + "ĠJud a", + "M us", + "R ussian", + "l io", + "p roduction", + "ĠT ales", + "ĠD im", + "ist le", + "Ġpl ac", + "ab ies", + "ĠRef erence", + "ern er", + "ett es", + "Ġcons ult", + "fl ix", + "ĠScot ia", + "Ġhealth y", + "ĠLim ited", + "ĠLomb ardy", + "3 20", + "W W", + "ĠC ay", + "ĠM S", + "el ing", + "Ġr andom", + "ry s", + "ens en", + "Ġ17 8", + "Ġfl ights", + "ĠJer emy", + "Ġindust ries", + "ĠSid ney", + "Ġor che", + "og ical", + "Ġcl ock", + "ĠCar son", + "ĠMon ica", + "Ġvers us", + "B r", + "e lect", + "ĠD in", + "ĠSt ill", + "Ġse ed", + "ĠBr is", + "Ġsub s", + "ĠMan ila", + "Ġsign als", + "Ġconstit utional", + "ĠPhilipp e", + "Ġexist ing", + "ĠTa ipei", + "Ġachie ved", + "ĠBrab ant", + "b in", + "ĠX I", + "Ġent rance", + "Ġequ ivalent", + "Ġfriend ly", + "ĠUs es", + "ĠFa ith", + "al am", + "ĠC ell", + "ad al", + "Ġth roat", + "19 51", + "Ġ14 4", + "ck en", + "12 5", + "Ġrel atives", + "ĠGeor gian", + "Ġserv ant", + "Ġpublic ation", + "Ġtransport ation", + "Ġpick ed", + "Ġarg ument", + "ĠMumb ai", + "Ġ id", + "Ġc ow", + "ĠS iber", + "ĠL ook", + "ĠO S", + "est y", + "Ġ18 38", + "Ġ18 49", + "ĠSp onge", + "ond a", + "Ġdis ability", + "17 0", + "ĠVen us", + "Ġtribut aries", + "H ol", + "f ast", + "ou stic", + "ab out", + "Ġte lephone", + "ĠTh ough", + "Ġj ury", + "Ġexper iences", + "ĠAnim als", + "ĠA E", + "ĠB right", + "ĠW u", + "Ġ12 4", + "Ġem ph", + "ĠAg riculture", + "cast le", + "ĠAtl as", + "Ġski ing", + "Ġimmun e", + "E d", + "Ġd ish", + "il ian", + "op rano", + "ĠK ul", + "ah i", + "ĠCar ey", + "Ġman usc", + "ĠEm ily", + "amm u", + "ĠArab ian", + "ĠZe us", + "ĠColon el", + "ĠP rice", + "ĠCol in", + "Ġdr um", + "ĠComp et", + "Ġcost s", + "ĠRet rieved", + "Ġneut ral", + "ĠNikol ai", + "Ġprep ared", + "ĠSmack Down", + "p ass", + "Ġa uthors", + "Ġf inger", + "ra ce", + "iz a", + "amb ig", + "Ġstreng then", + "h is", + "ĠP or", + "ĠB eth", + "ĠR oh", + "ĠN u", + "ĠW ells", + "ul us", + "ate gy", + "ĠY emen", + "Ġsh arp", + "Ġag ents", + "ĠPark s", + "cy cle", + "ID S", + "ĠUs ing", + "Ġbound ary", + "ĠLib ya", + "Ġsuppl ies", + "ĠPhilos ophy", + "is ons", + "ain te", + "ath y", + "Ġsh ore", + "Ġfound ation", + "ash ire", + "ĠBr as", + "Ġco oper", + "ĠKar en", + "go ing", + "Ġmill ions", + "Ġamb ass", + "ĠBour bon", + "m n", + "ĠS ox", + "ĠC itiz", + "ĠB erm", + "ir ate", + "st ances", + "Ġ18 36", + "ĠFl oyd", + "Ġprov iding", + "ĠPer iod", + "Ġdeb ate", + "Ġvol canic", + "Ġclos est", + "West phalia", + "Ġa f", + "ĠInd ivid", + "Ġmus cle", + "yl um", + "ĠKh al", + "ĠDev il", + "Ġarg ued", + "ĠNet flix", + "ĠMerced es", + "M e", + "P ro", + "Ġb at", + "ĠR anger", + "ip el", + "uk u", + "Ġown s", + "ĠBro ughton", + "ĠSen ators", + "ĠPat ric", + "Ġdest ruction", + "Ġblock s", + "ĠLyn n", + "Ġwithd raw", + "Ġrif le", + "r ors", + "t el", + "us ing", + "Ġ18 35", + "Ġher itage", + "ĠSh ak", + "ĠInd igenous", + "ĠCar roll", + "Ġsur f", + "Ġfin als", + "Ġtour ism", + "ĠPan ther", + "ĠBh ut", + "ĠTeh sil", + "bu ild", + "1 15", + "is f", + "al ysis", + "ĠL ap", + "ĠV iv", + "19 48", + "20 3", + "Ġother wise", + "Ġcontin ental", + "Ġexpl ained", + "Ġcover ing", + "Ġelim inated", + "A P", + "z el", + "Ġt iny", + "Ġb ridges", + "ĠA GN", + "ĠD ob", + "ĠN g", + "rit e", + "ĠTh us", + "ĠTh ings", + "che l", + "Ġmedal ist", + "ĠLuc y", + "ĠLanc ashire", + "Ġuns uccessful", + "ĠLis bon", + "ĠTig ers", + "ĠS ullivan", + "re ts", + "ĠM aid", + "ĠL ok", + "ĠG ius", + "Ġsh ares", + "ĠQ ual", + "ĠMon roe", + "ĠQu arter", + "Ġbas in", + "f our", + "ĠR ice", + "ĠCh air", + "Ġsc oring", + "Ġcont ained", + "18 2", + "Ġind icate", + "ĠHar per", + "Ġass embly", + "ĠPer uvian", + "ĠJos ef", + "Ġorigin ated", + "Ġstrong ly", + "Ġfar ms", + "Ġsn ake", + "Ġmess ages", + "O F", + "k ina", + "ĠH off", + "av irus", + "ĠHe ath", + "amp ire", + "eg al", + "10 5", + "Ġpre f", + "Ġcontrovers y", + "Ġveget ables", + "Ġchlor ide", + "3 30", + "Ġb rows", + "Ġp ublishing", + "ĠB ark", + "Ġl ock", + "ĠN as", + "Ġcent ers", + "ush i", + "ĠSen ior", + "Ġsuccess ion", + "ĠRelig ious", + "S outh", + "ust ers", + "Ġph ones", + "Ġturn ing", + "ĠClass ic", + "Ġpsych iat", + "ĠNat al", + "ĠIS BN", + "Ġgraph ics", + "Ġpattern s", + "Ġbrief ly", + "ĠRav ens", + "Ġb on", + "Ġp ump", + "ĠT iger", + "10 4", + "ĠNor se", + "ĠCo hen", + "ĠIS O", + "ĠFuk uoka", + "ĠPrinc eton", + "Ġt urt", + "Ġw ore", + "Ġb le", + "ĠB le", + "Ġl as", + "Ġ18 18", + "ĠAr sen", + "ĠCon n", + "ean ing", + "gen re", + "Ġregist ered", + "Ġwides pread", + "Ġo w", + "ĠS ut", + "Ġf aced", + "ĠL ug", + "ĠF oss", + "ĠD ata", + "Ġ3 50", + "Ġch ocolate", + "Ġform ing", + "ĠIndian apolis", + "osaur s", + "Ġcoll aps", + "Ġmuseum s", + "Ġhang ing", + "Ġrefere e", + "ĠR ural", + "ĠL ac", + "Ġgo alt", + "ott a", + "rim ination", + "Ġtemp orary", + "Ġchall enge", + "Ġmolec ule", + "ĠMathemat ics", + "ĠLeop old", + "ĠD id", + "mun icipal", + "Ġ12 9", + "ĠBl u", + "Ġmon key", + "Ġmass acre", + "Ġbo ats", + "Ġmer c", + "ĠCzechoslov akia", + "ĠMinne apolis", + "ĠJuda ism", + "h orn", + "m ic", + "ĠI N", + "ĠF ountain", + "ĠN AT", + "ĠMar cel", + "ach t", + "Ġun less", + "Ġag ricultural", + "Ġ13 4", + "oon ey", + "Ġland ed", + "Ġaff airs", + "Ġreb ellion", + "Ġcred ited", + "Ġresign ation", + "Ġ ion", + "Ġt elling", + "ĠT ucker", + "ĠR idge", + "ĠR andy", + "ĠG av", + "Ġcomp l", + "ĠOs lo", + "Ġgradu ate", + "ĠMong ol", + ") )", + "m aking", + "Ġm ile", + "Ġh idden", + "ĠN ames", + "ĠSt rat", + "ĠBr uns", + "14 0", + "ĠGl ad", + "Ġrequ ires", + "Ġf estivals", + "ig ar", + "ĠB uc", + "ĠK w", + "Ġ15 4", + "ĠBr uno", + "Ġne u", + "Ġdel ay", + "ĠAndre a", + "M C", + "g overn", + "h us", + "s im", + "ĠS ter", + "Ġp seud", + "ĠC rystal", + "rom agn", + "ĠK il", + "Ġr ated", + "Ġ18 46", + "Ġle ts", + "Ġcar go", + "ĠTra il", + "Ġrail road", + "Ġpen is", + "ĠKit ami", + "ĠWinds or", + "Ġing red", + "at ically", + "ĠA sp", + "ĠUn incorporated", + "Ġ18 53", + "Ġro oms", + "ink ing", + "Ġorgan ism", + "Ġput ting", + "ĠClark e", + "Ġherb ivore", + "ambig uation", + "1 12", + "r ant", + "Ġb old", + "Ġd rain", + "ĠL ords", + "ĠComp osition", + "ours es", + "cest er", + "ĠLiber ation", + "Ġesc aped", + "Ġinst ance", + "ĠIraq i", + "Ġcollect ions", + "ĠDer by", + "ĠBac helor", + "Ġremember ed", + "ĠLah ore", + "D e", + "P l", + "k u", + "en za", + "ĠS ection", + "ĠR oma", + "Ġl ady", + "ag ons", + "if ies", + "ie ve", + "ĠAl most", + "ass y", + "Ġj ew", + "ĠDem ographics", + "Ġtravel s", + "Ġcreat ures", + "Ġvir uses", + "Ġlay ers", + "Ġsubt ropical", + "Ġaccomp an", + "Ġgrav ity", + "m m", + "he y", + "ur se", + "av ian", + "ĠHe ights", + "Ġte le", + "ĠBl ake", + "ĠBar ack", + "ĠBe ing", + "Ġsw itch", + "add y", + "Ġpur ple", + "ĠKam en", + "ĠNam ib", + "E T", + "m are", + "v ements", + "w yn", + "ĠS ask", + "ĠB rew", + "ter bury", + "ĠV ende", + "Ġj u", + "Ġacc eler", + "ĠWrit ing", + "ĠLeg acy", + "ĠLy on", + "ĠMot ion", + "Ġsac r", + "ĠTheod ore", + "spec ies", + "ĠChel sea", + "R e", + "s ometimes", + "ĠN ept", + "Ġn one", + "ĠK oh", + "col ogy", + "Ġv it", + "ri o", + "ĠTh orn", + "Ġar c", + "Ġoff ensive", + "ĠPer th", + "ĠTw itter", + "Ġvol unte", + "ĠTan z", + "ĠShang hai", + "V B", + "nd ez", + "ĠTh r", + "ĠTh ames", + "ang o", + "aw i", + "Ġ13 9", + "ĠSing le", + "Ġprocess ing", + "Ġreplac ing", + "ĠMaced onia", + "htm l", + "Ġphen omen", + "E x", + "ig ration", + "ĠH ok", + "ĠW ord", + "19 2", + "Ġ18 52", + "ĠTh or", + "ng en", + "Ġab olished", + "ĠSur rey", + "ĠFrances co", + "Ġprinc iple", + "g reen", + "Ġf ever", + "Ġ18 24", + "Ġnot ably", + "Ġab st", + "ĠPr ed", + "Ġfl our", + "Ġfe athers", + "ĠAss istant", + "ĠCirc uit", + "ĠJess ica", + "ĠEvent ually", + "Ġf old", + "im mer", + "Ġapp eal", + "ĠTr ue", + "Ġass igned", + "Ġmin i", + "Ġmult ip", + "ĠBo hem", + "ĠApp ear", + "ĠAnn ie", + "ĠAh mad", + "Ġcrown ed", + "ĠGener ation", + "ĠTusc any", + "W hat", + "Ġs we", + "ĠB ott", + "ri ers", + "Ġro d", + "act ic", + "Ġrec re", + "Ġdown load", + "Ġgreat ly", + "Ġbroadcast ing", + "Ġdial ects", + "unc iation", + "c z", + "en ko", + "Ġb ats", + "Ġp ushed", + "ĠV oy", + "Ġplay offs", + "Ġ16 4", + "ĠDec lar", + "ĠAd rian", + "Ġcho ir", + "Ġtemp les", + "ĠAmbass adors", + "Ġcanc elled", + "W h", + "Ġs ale", + "ĠS au", + "ĠR ange", + "ad der", + "Ġ12 6", + "10 9", + "23 0", + "ĠReg ions", + "ĠHor se", + "ĠSav oy", + "Ġquarter back", + "Ġcateg ories", + "Ġpries ts", + "m ail", + "ĠR A", + "ct ica", + "Ġre ven", + "Ġv el", + "if ts", + "qu in", + "ident al", + "ĠQ atar", + "ĠSlov ak", + "Ġmolec ular", + "T ok", + "p o", + "Ġw ww", + "op al", + "Ġ18 19", + "Ġ18 33", + "10 3", + "Ġwar ning", + "ĠMil ano", + "ĠNic ar", + "Ġdraw ing", + "L and", + "i bert", + "ĠC ool", + "ĠR aid", + "ĠF ig", + "ĠN em", + "ess a", + "ĠQu est", + "Ġdefe ats", + "Ġpra ised", + "Ġtheolog ian", + "ĠGius eppe", + "n ear", + "y stem", + "Ġt aste", + "es i", + "ĠT ic", + "ĠB un", + "ĠR oth", + "im an", + "ĠEd win", + "Ġstr ings", + "ĠJack ie", + "ĠWolf gang", + "S he", + "ĠS ource", + "ĠK ol", + "ac co", + "ĠMar ian", + "ition ally", + "Ġreg ul", + "Ġann ounc", + "amm ad", + "ĠAp ost", + "Ġabs ol", + "C ap", + "ak o", + "21 4", + "Ġeng aged", + "ĠChe ster", + "ĠMod els", + "Ġlik es", + "Ġparticip ate", + "Ġsn akes", + "Ġancest ors", + "j r", + "ĠP irates", + "ass ium", + "ev ich", + "ĠHer cules", + "ĠMon aco", + "Ġint ellect", + "ĠSecret aries", + "Ġren ew", + "uan ian", + "i ate", + "y er", + "ĠV at", + "qu is", + "ĠLe ad", + "ĠEm irates", + "Ġrece iving", + "Ġincre ases", + "ĠWrest le", + "Ġsculpt ure", + "Ġord inary", + "Ġrat io", + "ĠS ki", + "ĠC ris", + "et ch", + "ĠD ion", + "Ġn ephew", + "oun s", + "Ġcar ries", + "Ġsee ing", + "ĠSim ilar", + "Ġhard ware", + "Ġdivor ce", + "is ie", + "re a", + "Ġst im", + "ĠArt icles", + "ĠHaw ks", + "Ġwind ow", + "Bl ack", + "Ġaster oid", + "Ġindic ates", + "ĠSho emaker", + "ĠEurop a", + "ĠSponge Bob", + "m ates", + "m eaning", + "v ol", + "Ġs ight", + "ing ers", + "ĠG em", + "Ġar chers", + "21 7", + "Ġac ids", + "10 7", + "rib ution", + "ĠCon struction", + "Ġrep orter", + "Ġdesign ated", + "Ġcontrib utions", + "Ġfr ag", + "ĠUruguay an", + "Ġw edding", + "ĠA chie", + "ĠD ynam", + "ĠJ en", + "Ġcon text", + "Ġ18 39", + "ĠLe ip", + "ne x", + "ah u", + "Ġmus cles", + "Ġmet re", + "Ġran king", + "yr gy", + "ĠInt elligence", + "lar gest", + "ĠIndust rial", + "Ġhabit at", + "Ġreplac ement", + "ĠB ears", + "ĠDe uts", + "idd les", + "ĠSil va", + "b one", + "w omen", + "ar r", + "Ġd atabase", + "ĠH ave", + "ĠK ane", + "Ġsupport ers", + "Ġident ify", + "Ġfoc uses", + "ruct ure", + "Ġlandsc ape", + "H ung", + "ĠC ed", + "Ġst range", + "ast s", + "Ġind ucted", + "Ġcar eful", + "Ġcontin ent", + "Ġcoll abor", + "Ġattract ion", + "ĠAdminist rative", + "ĠVik tor", + "Ġstream s", + "Ġdoll ars", + "Ġlocomot ives", + "ĠSomers et", + "h istor", + "h wa", + "z zo", + "Ġs ession", + "ĠM ake", + "Ġl oud", + "oc o", + "ĠU RS", + "Ġall iance", + "Ġstr ateg", + "ĠFour th", + "Ġcartoon ist", + "Ġadapt ation", + "Ġreject ed", + "ĠJor ge", + "ĠUz bek", + "f in", + "ĠP ret", + "ĠG round", + "all i", + "pr on", + "ebr ates", + "10 2", + "G old", + "m ons", + "Ġb es", + "Ġm ild", + "Ġh ide", + "ĠB ast", + "ĠR ut", + "Ġsh all", + "Ġim pl", + "Ġdef ender", + "ĠCorn ell", + "ĠHard y", + "ĠAbb ott", + "ĠHop kins", + "M ania", + "c ap", + "ĠT omb", + "ĠC ort", + "ab lo", + "ĠBrit ann", + "ĠSw an", + "24 0", + "ĠConf ederation", + "Ġmonarch y", + "ĠNAT O", + "1 14", + "Ġin surance", + "ĠA way", + "ĠI gn", + "ĠThe ory", + "Ġn inet", + "ĠW ant", + "Ġst ab", + "Ġ18 13", + "Ġover l", + "uk es", + "Ġmin eral", + "Ġ[ [", + "Ġpromot ion", + "hib ition", + "ĠSher man", + "Ġdeterm ine", + "Ġplatform s", + "ĠAthlet ic", + "ĠS ikh", + "ĠAl umni", + "Ġrele g", + "Ġsup ern", + "Ġinter act", + "ĠGro ve", + "Ġsett lements", + "ĠEll en", + "ĠArr ondiss", + "ĠBris bane", + "Ġw itness", + "ĠT in", + "op le", + "olit ion", + "Ġim perial", + "Ġequ ations", + "rd u", + "ĠCamp o", + "Ġlung s", + "Ġfle w", + "ĠEpis odes", + "ĠSind h", + "Ġaband oned", + "dis ambiguation", + "C O", + "d ef", + "Ġd uties", + "Ġ17 89", + "att ers", + "ĠFor bes", + "ĠAll an", + "Ġcelebr ate", + "ĠLor enzo", + "Ġtrav elled", + "ĠFac ulty", + "ĠMonteneg ro", + "! ,", + "p ower", + "ĠC ore", + "Ġd im", + "ĠP od", + "ĠB ot", + "Ġbe ating", + "Ġ11 3", + "Ġdep os", + "ott ed", + "Ġresp ond", + "ĠRepublican s", + "ĠMedal ists", + "Ġinfect ions", + "Ġbring ing", + "Ġlic ense", + "Ġgoalkeep er", + "is exual", + "Ġf urn", + "us ually", + "ĠR ank", + "ov an", + "ĠCan terbury", + "Ġreg ime", + "ins k", + "Ġfl ed", + "Ġattack ing", + "vious ly", + "Ġdiss olved", + "ĠReed y", + "Ġprofession ally", + "ĠTasman ia", + "D F", + "a illes", + "d oor", + "z es", + "ar ant", + "ĠF ir", + "Ġg host", + "ph al", + "rat ors", + "Ġbel t", + "Ġpol ar", + "unn ers", + "ĠWood s", + "Ġpe ac", + "Ġweek ly", + "count ry", + "ĠDeclar ation", + "M G", + "v et", + "Ġc ave", + "Ġf aces", + "Ġd ub", + "am er", + "if ted", + "Ġr ide", + "Ġres erve", + "ont in", + "ae k", + "Ġexpl an", + "Ġimp ossible", + "Ġcivil ian", + "ĠStr ong", + "Ġlog ic", + "ĠH ern", + "ĠN ott", + "ot ion", + "Ġre pt", + "19 40", + "ĠMar l", + "Ġtw inned", + "ĠTe ams", + "ĠEm b", + "ĠBrad ley", + "hte au", + "ĠCurt is", + "W ork", + "Ġp itch", + "Ġm and", + "ĠP am", + "Ġoper ate", + "Ġmark ets", + "Ġmathemat icians", + "Ġcritic ism", + "Ġcinem a", + "s ized", + "re leased", + "st ad", + "ag ascar", + "Ġcon son", + "Ġde er", + "Ġle ap", + "cl usion", + "lev en", + "Ġco ordin", + "Ġdem ocratic", + "ĠAltern ative", + "Ġexperi enced", + "ĠC ov", + "ĠG y", + "ĠJ ag", + "ĠU rata", + "Ġ18 43", + "ĠTh an", + "Ġsh apes", + "clud ed", + "Ġout put", + "ĠCar bon", + "60 7", + "que z", + "ĠComp os", + "ĠGree ks", + "ĠCarol ine", + "Ġbelong ed", + "Ġstrugg le", + "b et", + "u able", + "il ogy", + "om ical", + "ĠD w", + "orn o", + "Ġam ateur", + "ĠEv il", + "Ġer ror", + "Ġcer eb", + "Ġburn ing", + "Ġathlet ics", + "ĠAdv ance", + "Ġresear chers", + "Ġrebu ilt", + "w ana", + "Ġp ap", + "ol en", + "ent ed", + "ĠB alk", + "ĠF ine", + "ĠW ing", + "Ġ18 4", + "Ġnot ice", + "isc he", + "Ġexp osed", + "Ġvol t", + "Ġaccident s", + "ĠMot ors", + "Ġconserv ation", + "olith ic", + "1 18", + "l iving", + "r ish", + "ĠS A", + "ĠR NA", + "Ġk it", + "19 49", + "14 3", + "Ġpre t", + "Ġsub urbs", + "ĠMil ton", + "u en", + "Ġc ass", + "ĠT emp", + "ĠP os", + "ĠI gor", + "ĠH els", + "eb e", + "21 6", + "ĠCl if", + "ĠComp lete", + "play ing", + "Ġinterest ing", + "ĠKob e", + "Ġweak ened", + "Ġs ust", + "al og", + "it ched", + "ĠI F", + "ĠF av", + "ust rated", + "ob y", + "Ġref erend", + "Ġpione er", + "it ars", + "ol er", + "ĠB oh", + "ĠF eder", + "ĠE y", + "Ġde leg", + "Ġ18 14", + "Ġ18 41", + "Ġun like", + "Ġ14 9", + "Ġdr agon", + "ounc ill", + "Ġvar iable", + "Ġtop ics", + "Ġ0 4", + "ĠEag les", + "ĠAntar ctica", + "f ts", + "Ġb ath", + "Ġn urs", + "pp en", + "17 2", + "elf are", + "work s", + "ĠGard ens", + "vi ated", + "Ġconfl icts", + "ĠFace book", + "l ans", + "Ġs izes", + "ĠP i", + "ĠP ere", + "Ġsh ield", + "Ġ17 4", + "Ġ14 6", + "erv ation", + "Ġfem inist", + "Ġpsych ological", + "ĠLabor atory", + "I f", + "es a", + "ĠS elf", + "ard i", + "ĠY okohama", + "10 6", + "ĠAd ult", + "ĠEd ge", + "Ġsk ater", + "Ġfilm maker", + "Ġgl ac", + "Ġel dest", + "Ġcust om", + "ĠShir ley", + "ĠLeip zig", + "g ra", + "r ina", + "s hip", + "t ec", + "z ing", + "al bum", + "ĠK ind", + "ia z", + "os ure", + "ĠSt ories", + "ĠCh op", + "to od", + "amb ers", + "Ġexp ressed", + "ĠGod s", + "ĠInter ior", + "Ġlegisl ators", + "Ġbal ance", + "Ġgraph ic", + "Ġgard ens", + "c are", + "an mar", + "ĠH od", + "Ġr ings", + "ĠAnd roid", + "Ġ. ...", + "ĠMad agascar", + "Brit ish", + "ĠKD OT", + "c ular", + "Ġs amples", + "ĠC ox", + "Ġd ying", + "Ġg ate", + "ag le", + "19 4", + "Ġex port", + "Ġsm ooth", + "Ġchar ity", + "ĠMong olia", + "Ġnerv ous", + "f oot", + "m met", + "n an", + "y t", + "is se", + "ĠC raw", + "ĠM ull", + "ĠB ody", + "ĠH ood", + "ĠF inist", + "Ġre in", + "ĠU TC", + "Ġpl ates", + "ĠMar co", + "ĠAr ist", + "Ġspec ifically", + "Ġcivil ization", + "ĠVictor ian", + "ĠBruns wick", + "f ire", + "y u", + "it ure", + "ing le", + "ĠL od", + "ct ional", + "art ney", + "rest rial", + "80 9", + "Ġinternational ly", + "ĠDun can", + "ĠYam ag", + "C o", + "l oo", + "s burg", + "ro b", + "ĠC lement", + "ĠF ay", + "Ġst rict", + "our se", + "anc a", + "ĠHer oes", + "ĠPol o", + "ling en", + "Ġput s", + "Ġpres erved", + "Ġtransit ion", + "Ġvess els", + "Ġbom bs", + "u ve", + "19 5", + "ook er", + "born e", + "|||||||| ||||||", + "Ġbi ologist", + "G C", + "J ohn", + "X T", + "ĠT ouch", + "le en", + "ĠP BS", + "om ic", + "Ġcan n", + "ob s", + "au th", + "ĠEv an", + "Ġcivil ians", + "ĠKir by", + "ĠDou ble", + "ĠMoz art", + "Ġphotograph s", + "G ar", + "W orld", + "Ġ ~", + "an as", + "im on", + "Ġst ones", + "ĠHol mes", + "Ġexp ect", + "Ġphot ography", + "ĠBah amas", + "Ġportray ed", + "f irst", + "ĠH ain", + "ĠF lem", + "ĠD awn", + "ers e", + "Ġcent enarians", + "ru it", + "Ġhappen ing", + "Ġhard er", + "ĠPo etry", + "Ġconsist ing", + "ĠDh aka", + "ĠCrit ics", + "ĠStef an", + "1 17", + "r s", + "w alk", + "Ġ ic", + "ĠK arn", + "ĠIn side", + "Ġ16 0", + "Ġ16 9", + "ĠIs h", + "ĠSch les", + "Ġshort ened", + "Ġartist ic", + "ĠCatal onia", + "ĠLar ge", + "ĠArm strong", + "Ġmanufact urer", + "Ġpull ed", + "ansk rit", + "H C", + "ĠS earch", + "ap or", + "Ġus age", + "ĠCl ara", + "Ġbi ochem", + "ĠRh in", + "Ġmiss ions", + "enh agen", + "Ġtradition ally", + "Ġambass ador", + "ĠIndivid ual", + "N or", + "s he", + "ĠH aven", + "ĠD ais", + "st op", + "ĠUn ter", + "Ġfl ash", + "Ġstud ios", + "Ġdr inks", + "ĠGeor ges", + "raw a", + "ĠChe v", + "Ġinstr uctions", + "ĠLeon ardo", + "Ġcoal ition", + "Ġquant um", + "ĠArchitect ure", + "Ġhoriz ont", + "L ou", + "Ġd ust", + "Ġd rown", + "ĠJ ourney", + "Ġr ates", + "Ġ17 9", + "pp ers", + "21 5", + "ĠRec ording", + "leg raph", + "Ġpract ices", + "ĠBrand on", + "Ġdescend ants", + "Ġs ib", + "ĠR ams", + "Ġl oves", + "ign e", + "ri en", + "any a", + "ph oon", + "ĠMay enne", + "Ġmon ument", + "Ġhead ed", + "ĠMil es", + "ĠScient ific", + "ĠAndrew s", + "ĠBever ly", + "ĠS end", + "Ġm aker", + "ĠM R", + "ĠF ras", + "all a", + "12 3", + "let te", + "ĠBe a", + "Ġlist ings", + "ĠRos a", + "Ġtransl ator", + "Ġgirl friend", + "Ġpen insula", + "Ġassass ination", + "Ġp owder", + "ĠG iant", + "ĠJ ammu", + "ĠK re", + "ab oration", + "Ġor n", + "Ġit em", + "ĠLe x", + "Ġag g", + "ĠZ rich", + "Ġover th", + "ĠAir bus", + "|||||||| ||||", + "ĠLeon id", + "ĠBow ell", + "ĠFinist re", + "n ut", + "z on", + "is i", + "Ġc rypt", + "ĠB und", + "ĠJ as", + "Ġan at", + "Ġab ortion", + "ock out", + "Ġafter wards", + "Ġdr ives", + "Ġgr ade", + "Ġran ks", + "Ġsitu ations", + "Ġopportun ity", + "ozo ic", + "t z", + "t ra", + "t ico", + "Ġv ul", + "Ġmet eor", + "Ġrep air", + "ĠTr ent", + "Ġz o", + "wh ite", + "Ġlegisl ative", + "ĠJama ican", + "ĠShim izu", + "Ġasp ects", + "n amed", + "Ġp airs", + "ĠW r", + "Ġth rown", + "Ġg ases", + "ĠK ad", + "Ġpro ve", + "ug u", + "Ġsh ock", + "Ġcl ay", + "Ġad mitted", + "Ġ13 6", + "ĠRo om", + "Ġfinish ing", + "ĠCow boy", + "C ent", + "Ġt ight", + "Ġh ung", + "oc he", + "Ġser ver", + "Ġret ail", + "Ġref erences", + "ĠWinn er", + "Ġneg oti", + "Ġconsist ed", + "ĠRot ter", + "rast ructure", + "ĠUlt imate", + "ĠSaf ety", + "Ġm ud", + "ĠP ig", + "Ġhe m", + "19 39", + "ĠAr agon", + "ĠSh r", + "Ġsc andal", + "au f", + "Ġrem ake", + "Ġhum or", + "ĠDep uties", + "Ġphot o", + "Ġhosp itals", + "m al", + "Ġ ere", + "Ġt ip", + "an ium", + "ĠB oss", + "ĠL ed", + "Ġpop e", + "13 5", + "ĠChrist ine", + "ĠEm manuel", + "Ġdef ence", + "Ġinte g", + "ĠPatric ia", + "ro x", + "ĠM IT", + "ĠD OR", + "ĠU ran", + "ug a", + "Ġsh arks", + "ĠLe agues", + "Ġcl an", + "Ġper mission", + "erm o", + "reg ation", + "Ġrest rict", + "Ġgener ations", + "ĠIm per", + "Ġsex ually", + "Ġhon orary", + "ĠInt el", + "Ġbass ist", + "Ġancest or", + "ĠAlexand ra", + "ĠConstant ine", + "Ġshop ping", + "ĠKum ar", + "Ġdeliver ed", + "Ġalle ged", + "L oire", + "j un", + "s un", + "Ġc ub", + "Ġto m", + "ĠEurope ans", + "ĠSen egal", + "ĠMor rison", + "Ġcult iv", + "Ġexpl ains", + "ĠIm port", + "ĠSuz uki", + "ĠGib son", + "ĠDra ke", + "spir acy", + "m ill", + "Ġp overty", + "ĠD ew", + "ers hire", + "um ont", + "Ġgro ss", + "ĠBl ock", + "ĠBra in", + "Ġadv ance", + "Ġviol inist", + "Ġadminist rator", + "ĠImp act", + "Ġfavor ite", + "ĠNept une", + "G A", + "r ations", + "ĠN ina", + "af e", + "ĠMc D", + "Ġopen ly", + "irc hen", + "Ġhon ored", + "Ġlim its", + "uge es", + "' ve", + "in as", + "is o", + "ĠS as", + "ĠC ran", + "ĠD ere", + "ĠW als", + "est e", + "ĠSp y", + "oy s", + "Ġ12 3", + "Ġcred it", + "Ġt ou", + "ĠA ce", + "ol ly", + "ĠF ut", + "ad ows", + "ip es", + "Ġex ecut", + "ĠUS SR", + "Ġorig ins", + "istan ces", + "ĠCap itals", + "Ġcomm it", + "ĠHon ey", + "Ġview ers", + "ĠAut o", + "ĠP resent", + "ĠR ole", + "ĠD as", + "19 6", + "19 46", + "Ġcons um", + "ĠJeff rey", + "ĠWeek ly", + "h ra", + "Ġ rib", + "Ġt ub", + "an ese", + "Ġo ct", + "Ġf art", + "ĠL ope", + "et i", + "ĠD re", + "ot ype", + "ĠV es", + "Ġ18 31", + "Ġle agues", + "Ġdep th", + "15 1", + "writ ten", + "Ġaff ects", + "ĠPers ia", + "ĠPo ems", + "Ġinst alled", + "Ġfund amental", + "ĠIceland ic", + "Ġgall ery", + "Ġlat est", + "ĠPow ell", + "W I", + "i ere", + "Ġt ong", + "Ġb uses", + "ĠF BI", + "ĠN ile", + "em on", + "Ġ18 29", + "Ġse ctor", + "Ġcl oth", + "ook s", + "ĠMay a", + "Ġres ort", + "ĠPl ains", + "16 2", + "14 5", + "Ġmon ster", + "ĠProv incial", + "Ġpred ict", + "Ġqual ifying", + "i ations", + "Ġt ape", + "ch io", + "un ar", + "Ġ18 25", + "Ġcomp onents", + "ĠCor on", + "ĠStra it", + "ĠGand hi", + "oun sel", + "ran ger", + "ass er", + "Ġ17 6", + "Ġpopul ous", + "Ġext ension", + "Ġrest ored", + "Ġfire arm", + "ĠOver view", + "Ġillust rator", + "Ġalg ebra", + "Ġfra ud", + "P ierre", + "Ġ ).", + "Ġs ou", + "Ġin ject", + "ĠT aut", + "ĠG olf", + "ĠW orth", + "ĠW itch", + "ip eg", + "ure ate", + "29 3", + "amm al", + "ĠMos es", + "Ġmaint ain", + "ĠFell ows", + "ĠWrestle Mania", + "P art", + "b ut", + "g el", + "ĠM ant", + "ĠE le", + "ĠMar se", + "11 1", + "ĠBer ry", + "bour g", + "ĠEnd ate", + "b el", + "f ree", + "k aid", + "Ġb abies", + "Ġd uty", + "ĠCast ro", + "ym es", + "Ġprop os", + "ĠBah rain", + "ĠMoh ammad", + "ĠRey n", + "ĠCour age", + "ĠPrim ary", + "Ġbatter y", + "Ġcas ual", + "w eb", + "it ama", + "ĠP ale", + "ĠL ars", + "ĠSt alin", + "Ġle uk", + "iz ards", + "rop ri", + "ĠZ ur", + "16 3", + "16 5", + "ĠAll ies", + "ĠRel ations", + "28 3", + "Ġdesign ers", + "Ġadv ice", + "Ġwid ow", + "Sp anish", + "Ġwat ched", + "ĠLett ers", + "ĠRotter dam", + "H a", + "c ium", + "l ag", + "w il", + "ar ium", + "Ġin stitution", + "Ġc otton", + "ic it", + "ĠR ise", + "up s", + "ĠAl pha", + "ĠNew sp", + "Ġapp ly", + "Ġend angered", + "ĠCo al", + "ĠSystem s", + "ĠDirector y", + "Ġt ag", + "er ies", + "ĠH D", + "ĠF an", + "st a", + "ight y", + "ĠV ald", + "Ġcon vert", + "Ġ18 32", + "ick ing", + "Ġcap s", + "ĠMy anmar", + "ĠArch ives", + "ĠKenn y", + "ĠHeart s", + "ĠBed ford", + "u o", + "Ġc ryst", + "ĠP om", + "ĠB ash", + "Ġ18 34", + "Ġev ac", + "enn y", + "Ġcol ored", + "13 6", + "ĠRock ef", + "Ch rist", + "Ġfif teen", + "Ġcoll apse", + "Ġwid th", + "ĠProt ection", + "Ġexc ell", + "Ġinte gr", + "ĠKurd ish", + "ĠLeaf s", + "L B", + "S o", + "Ġb icy", + "Ġm ine", + "ĠG C", + "ĠJ al", + "th y", + "Ġst ood", + "row ing", + "ink i", + "ĠSup erman", + "ĠVir tual", + "bor g", + "Ġgrand son", + "Ġlog o", + "ĠFel ix", + "ĠRud olf", + "f s", + "he a", + "ĠS erg", + "Ġan nex", + "ĠSt ur", + "ĠIn fect", + "ĠY uk", + "Ġ17 00", + "Ġall ies", + "ĠPro gressive", + "14 2", + "12 4", + "ise i", + "ator ial", + "Ġcompet ing", + "ĠMer it", + "Ġcross ed", + "ĠLight ning", + "Ġrevolution ary", + "Ġpul monary", + "Europe an", + "N C", + "id ays", + "ĠN ad", + "ĠW ich", + "Ġg ol", + "ow ing", + "19 33", + "uc ci", + "Ġsc ope", + "21 1", + "ann on", + "13 4", + "Ġcor ruption", + "Ġlab els", + "Ġdom ain", + "Ġrapid ly", + "ĠRaf ael", + "Ġairpl ane", + "b ing", + "i ott", + "m ov", + "o que", + "r t", + "u ous", + "Ġm emb", + "19 47", + "ĠLe ic", + "Ġcl ar", + "ĠAn ast", + "Ġ17 95", + "pr int", + "ĠSw ift", + "27 3", + "Ġcross ing", + "Ġadop t", + "Ġcred its", + "Ġbul let", + "ĠBelarus ian", + "Ġnucle us", + "ĠTibet an", + "Ġreferend um", + "ĠL if", + "ch us", + "ll er", + "ĠCamb odia", + "Ġautom obile", + "ĠTaiwan ese", + "ĠWin ston", + "ĠLeban ese", + "ĠEnvironment al", + "R ed", + "h ow", + "ĠM t", + "ĠM ills", + "ĠK och", + "Ġ18 28", + "ĠFran con", + "99 9", + "ĠRober to", + "Ġspecial ized", + "Ġi Ph", + "Ġhol y", + "Ġdies el", + "ĠVo iv", + "Ġlif etime", + "ĠRot ten", + "Ġtheor etical", + "Ġsudden ly", + "Ġgrad ually", + "b en", + "p m", + "Ġc rack", + "Ġl ymph", + "ĠK art", + "Ġsp elling", + "12 8", + "ĠWill ie", + "ĠAss ass", + "ici ency", + "E ast", + "g it", + "g un", + "Ġm ask", + "ĠH esse", + "id t", + "ĠW IT", + "ter ed", + "ĠV ille", + "ant es", + "ĠMar ina", + "Ġsc ores", + "Ġcons ecutive", + "ĠBel grade", + "ĠBur ton", + "ĠTim othy", + "roc od", + "ĠHend erson", + "Ġempt y", + "Ġb ac", + "Ġin put", + "ĠP owers", + "ĠL al", + "Ġ18 26", + "21 2", + "17 4", + "17 5", + "13 3", + "ĠAd vis", + "ĠSant o", + "Ġgrand mother", + "ĠKu wa", + "P aul", + "d istance", + "f r", + "ĠR ib", + "iv ery", + "ĠCom ba", + "ĠSh iva", + "Ġafter noon", + "10 8", + "Ġcent res", + "ĠDe e", + "ĠPal mer", + "Ġstrong est", + "roll ed", + "har mon", + "Ġfactor ies", + "Ġadvert ising", + "ĠBeaut y", + "strument al", + "A ng", + "S ax", + "f iction", + "l ist", + "t ons", + "Ġp rices", + "ĠT os", + "ĠC oy", + "Ġ18 42", + "15 4", + "ĠSe lected", + "39 4", + "ĠNic ole", + "ĠToul ouse", + "Ġt um", + "Ġs odium", + "ĠS ega", + "Ġm ad", + "ĠC are", + "ou ds", + "ĠB ase", + "ĠN WA", + "Ġn atur", + "ĠG el", + "Ġex ile", + "Ġra b", + "ĠEst ab", + "f o", + "ed ing", + "Ġw itch", + "ĠB agh", + "th ree", + "Ġsp l", + "ĠBe au", + "yl an", + "ring ton", + "Ġevery day", + "Ġrece ives", + "ĠStud ents", + "ĠRail road", + "ĠCurrent ly", + "Ġevolution ary", + "ro us", + "ĠH NS", + "ĠG ol", + "Ġhe n", + "ĠCh oice", + "iet h", + "15 2", + "ara oh", + "Ġmin erals", + "Ġpublic ations", + "gr im", + "ĠStep han", + "ĠAre as", + "ĠStaff ord", + "Ġestablish ment", + "ĠTon ight", + "ĠRockef eller", + "ĠM ugh", + "ĠH ert", + "ĠE SP", + "ĠO v", + "ĠW er", + "ov el", + "ack ed", + "ĠQu int", + "Ġflood ing", + "Ġsubst ances", + "ĠOnd ej", + "f inal", + "n am", + "Ġt et", + "in ite", + "ic ism", + "ĠC ock", + "ĠM uk", + "ip uri", + "Ġex ternal", + "Ġ13 3", + "Ġent ering", + "ĠGl ou", + "ĠCo ach", + "ĠUp on", + "ĠWork ers", + "Ġaccount s", + "bro ok", + "er ver", + "ĠP M", + "ĠH ep", + "ĠD il", + "Ġpro port", + "ĠUn ified", + "ĠAugust us", + "ĠCol ony", + "15 5", + "Ġsoc ieties", + "ĠAct ing", + "ĠGar ca", + "ĠJam ie", + "ĠTrin ity", + "Ġhyp othes", + "Ġpregn ancy", + "Ġtherap y", + "municipal ity", + "S T", + "ĠT ype", + "ĠH oll", + "ir ts", + "Ġal umin", + "Ġre organ", + "od or", + "ĠAl ps", + "ach ment", + "ne z", + "Ġper former", + "ĠBl air", + "Ġmed ic", + "Ġwatch ing", + "ĠGriff in", + "Ġreven ge", + "\" ;", + "2 60", + "P rim", + "p age", + "Ġl os", + "Ġfor wards", + "ath a", + "Ġ10 5", + "13 1", + "Ġstr ategy", + "ĠBar nes", + "Ġfe ud", + "ĠDr ug", + "Ġprom ised", + "ĠBC E", + "gr and", + "ĠLope z", + "at to", + "ĠE aster", + "Ġpro gressive", + "20 4", + "ph an", + "Ġsub mar", + "amb o", + "ĠSch war", + "ĠEv angel", + "ĠGra ph", + "rel s", + "Ġpsych ologist", + "Ġcust omers", + "Ġpurch ased", + "ĠI g", + "ell ar", + "ĠY ev", + "ĠZ ar", + "18 5", + "17 3", + "Ġwar fare", + "Ġpublic ly", + "Ġvis iting", + "ĠKh y", + "Ġge ometry", + "ĠConstit utional", + "Ġerupt ion", + "atche wan", + "Ġgol fer", + "I X", + "Ġt enth", + "at ivity", + "ĠS ally", + "Ġbe aches", + "ĠUn cle", + "Ġdo ors", + "att i", + "Ġph osph", + "12 9", + "Ġep id", + "Ġext ensive", + "CA A", + "Ġexcept ion", + "Ġbomb ings", + "B ig", + "h our", + "ĠT ell", + "ĠB R", + "ĠG ul", + "un ter", + "ew hat", + "ous s", + "ĠPr iv", + "Ġinter ests", + "Ġmin imum", + "Ġmean ings", + "ĠEv a", + "Ġ180 1", + "ĠRom ance", + "Ġmanufact uring", + "c ard", + "ĠS ainte", + "Ġf reed", + "ĠG ur", + "18 1", + "ĠX ia", + "ĠRes p", + "ĠFin als", + "Ġtransl ations", + "ĠMcC artney", + "Ġvir t", + "ĠCop enhagen", + "Ġrecip ients", + "Ġclimb ing", + "L P", + "Ġt ons", + "ĠS eren", + "ĠS ara", + "ĠN ut", + "ĠK yle", + "Ġat he", + "ex p", + "att a", + "ĠCommun ications", + "Ġpat ron", + "ĠPlat form", + "ĠConstantin ople", + "d ing", + "g ent", + "or ious", + "ĠCh ak", + "ĠY an", + "ĠY uri", + "Ġcl in", + "12 6", + "ĠGu est", + "ĠBut ter", + "Ġexper ts", + "Ġfif ty", + "ĠMaur it", + "Ġvert ical", + "ĠSug ar", + "ĠOndej ov", + "1 22", + "l ore", + "w he", + "Ġw el", + "al is", + "Ġb ases", + "Ġf ro", + "Ġm a", + "Ġm or", + "ĠE ra", + "Ġ18 16", + "20 5", + "13 7", + "ĠRichard son", + "Ġinflu ences", + "aval ry", + "Ġachie ve", + "Ġlegend ary", + "' )", + "B el", + "in ese", + "ĠA R", + "Ġg olf", + "ĠV all", + "19 34", + "Ġcon sequ", + "ĠEl isabeth", + "Ġconc rete", + "ĠKy iv", + "Ġcoron avirus", + "Ġunders tood", + "D C", + "O P", + "d isc", + "in um", + "ĠM au", + "ĠR ules", + "ĠF alk", + "ĠE gg", + "19 18", + "Ġsh ift", + "ind e", + "Ġsc ar", + "ĠPro ble", + "15 9", + "Ġtrib ute", + "Ġshoot er", + "Ġmotor cycle", + "ĠNott ingham", + "h op", + "in ate", + "ĠS ieg", + "ĠM its", + "ĠF ear", + "ul ia", + "Ġcon vent", + "og un", + "ib an", + "ĠSh ield", + "ĠBe eth", + "uck land", + "38 4", + "Ġeconom ists", + "ĠHel ena", + "ĠSom alia", + "ĠWinn ipeg", + "Ġcontrib uted", + "Ġbreed ing", + "Ġflower ing", + "L ive", + "j ing", + "k os", + "he i", + "on aut", + "Ġs ends", + "Ġd istances", + "ir ie", + "ĠF erg", + "ĠE ye", + "ĠW ilm", + "Ġfor ty", + "Ġ18 17", + "ĠTh ing", + "ĠAn s", + "ĠJan et", + "ĠZ en", + "ĠGr im", + "ĠGu adal", + "Ġem perors", + "Ġdown town", + "ript ions", + "Ġkey s", + "Ġproper ly", + "Ġrecogn ised", + "Ġattract ed", + "ĠBeng ali", + "Ġleuk emia", + "i w", + "p ost", + "ĠS P", + "am med", + "ĠW ins", + "od ed", + "og g", + "Ġ15 3", + "18 4", + "ĠSand y", + "Can adian", + "ĠJosh ua", + "Ġmoder ate", + "ĠWich ita", + "c s", + "Ġt or", + "Ġf ram", + "ro le", + "Ġm igr", + "th an", + "Ġe ats", + "Ġas h", + "19 42", + "ĠNew man", + "17 9", + "16 8", + "26 3", + "ĠDem ocracy", + "ĠAngel a", + "ĠWild life", + "ĠAtt ack", + "Ġelev ation", + "Ġsusp ected", + "Ġvocal ist", + "ĠBron ze", + "Ġwheel chair", + "ĠHond uras", + "Ġalgor ithm", + "yrgy z", + "c ourt", + "g roup", + "Ġc ourses", + "Ġm ouse", + "ĠC i", + "Ġd iver", + "Ġ20 24", + "iv o", + "ĠG unn", + "op ing", + "20 2", + "Ġout break", + "ĠChrist ina", + "ĠGl oria", + "Ġterm inal", + "ĠLeg al", + "ĠBab yl", + "Ġhom osexual", + "Ġprincip les", + "Ġdomin ant", + "Col umb", + "ĠSask atchewan", + "Ġb onds", + "ĠM iz", + "Ġd ances", + "ĠB oul", + "el i", + "ĠJ n", + "ov sky", + "ĠV ista", + "19 36", + "Ġ18 27", + "Ġqu iet", + "ĠHar bor", + "Ġvers e", + "Ġbi ologists", + "uz zle", + "Ġbox ing", + "ĠGon z", + "Ġto mb", + "ĠD ust", + "ch ief", + "ce eds", + "and ra", + "ĠK end", + "19 3", + "ant is", + "ri ages", + "17 7", + "Ġlist en", + "ĠAc cess", + "ĠConserv ation", + "W hen", + "l ived", + "o ibi", + "he id", + "ĠR ip", + "ĠH il", + "ĠCh ange", + "cl ip", + "Ġatt rib", + "rib ed", + "12 7", + "ron es", + "Ġsub stit", + "ĠRe ading", + "24 5", + "ĠReg ular", + "Ġvot ers", + "ĠChap el", + "ĠTic ino", + "c io", + "j in", + "ĠS ik", + "ĠS hen", + "Ġf ill", + "Ġf ab", + "ĠH IV", + "ay as", + "ĠG amb", + "Ġse al", + "ah on", + "16 4", + "Ġsub species", + "Ġinc umbent", + "aff e", + "fe at", + "ĠClar ence", + "ĠCauc as", + "Ġcereb ral", + "ĠT oo", + "ĠD ylan", + "ĠK ub", + "ĠY ar", + "iz za", + "18 6", + "ĠSw im", + "rib le", + "14 1", + "Ġanim ator", + "ĠMon th", + "ĠIm m", + "ĠAnt wer", + "Ġhon ey", + "Ġliter ally", + "Ġrespons ibility", + "ĠHaut es", + "ĠMalays ian", + "Ġsau ce", + "nd en", + "Ġk ids", + "Ġ18 22", + "20 9", + "ĠWar wick", + "Ġcol span", + "14 9", + "ĠChar acter", + "ĠPol icy", + "ĠAng ola", + "ĠMe chan", + "ĠGreen land", + "ĠTrans l", + "ĠConc ert", + "Ġfert il", + "ĠWarri ors", + "Ġtriang le", + "in ho", + "Ġis ot", + "el o", + "Ġfl ies", + "Ġlight s", + "Ġsom ewhat", + "ih ara", + "ĠMir anda", + "atin ate", + "ĠiPh one", + "ĠG ott", + "ĠW on", + "19 37", + "Ġpro sp", + "ure l", + "ff ield", + "ĠInd ies", + "Ġ14 3", + "Ġtrans mission", + "Ġphys icians", + "odes hip", + "Ġvol umes", + "ellig ent", + "ĠDoc ument", + "h art", + "k reis", + "Ġb ell", + "ĠC ly", + "ĠH OF", + "ĠD mit", + "ĠJ ake", + "ag ic", + "ra id", + "19 30", + "qu el", + "ĠNew castle", + "Ġj et", + "ĠSh ip", + "14 8", + "br uck", + "ĠSa itama", + "arg au", + "Ġcycl ists", + "ĠTs ar", + "atin um", + "Ġexerc ise", + "ĠBerm uda", + "N orth", + "b as", + "c ity", + "Ġb inary", + "ĠL ima", + "ĠG ior", + "Ġit al", + "Ġr iding", + "ĠCon rad", + "13 9", + "25 5", + "Ġsee k", + "Ġarch ive", + "ĠWith in", + "ĠEll is", + "ĠDal mat", + "ĠBeaut iful", + "I L", + "ĠB har", + "ĠF ritz", + "ĠN ice", + "Ġth irteen", + "Ġst yl", + "ĠV inc", + "Ġpr ayer", + "14 4", + "ĠEl vis", + "ĠStud y", + "ĠBa iley", + "ĠNepal ese", + "ĠNav ar", + "Ġceleb ration", + "ĠSurv ivor", + "ĠDere k", + "ĠF ant", + "iv isie", + "st own", + "ĠE c", + "ĠE rik", + "th rough", + "ri et", + "Ġ18 23", + "Ġsong writers", + "30 3", + "25 3", + "Ġsign ature", + "ĠRos en", + "Ġident ical", + "Ġdict ators", + "ĠVat ican", + "K ing", + "r ill", + "ĠN acional", + "Ġre ward", + "19 41", + "rit ies", + "ĠMar riage", + "ĠMay ors", + "10 1", + "ĠCar s", + "Ġrep utation", + "Ġvill ain", + "ĠVer de", + "ĠKr ish", + "Ġdisp ute", + "Ġstrik es", + "ĠFlem ish", + "ĠKhy ber", + "Ġt une", + "Ġt anks", + "ĠS ap", + "Ġh o", + "Ġh al", + "ĠR app", + "ĠK yrgyz", + "ul se", + "Ġsh oes", + "Ġra ppers", + "red ivisie", + "13 8", + "ĠEl ite", + "ster ious", + "Ġrun ners", + "ĠPres idency", + "ĠEnt ry", + "Ġbenef its", + "ĠHerman n", + "ĠPeng uins", + "at u", + "Ġo vers", + "ĠC H", + "ĠB ug", + "ĠB io", + "ĠB ren", + "ĠR if", + "ĠH BO", + "el en", + "ĠK ok", + "ak k", + "ĠV ocal", + "ous es", + "ib u", + "ĠJud y", + "Ġrac ial", + "ĠSax e", + "ĠFore ver", + "ĠAndre as", + "ĠLith uanian", + "ĠNort on", + "D o", + "D r", + "P er", + "ĠA us", + "ĠP AD", + "ĠB am", + "ĠD eg", + "20 7", + "ens ions", + "18 3", + "ĠKing ston", + "Ġco le", + "Ġind ex", + "ĠWh y", + "fl ies", + "ĠGl ass", + "Ġarr ives", + "Ġcitizens hip", + "Ġpoll ution", + "ĠTrin idad", + "ĠMean while", + "Ġenfor cement", + "ĠTaut enburg", + "h ang", + "at as", + "ĠN C", + "iv ores", + "Ġde als", + "ĠAn j", + "Ġ17 80", + "18 9", + "ĠIs s", + "17 8", + "16 9", + "ĠWill is", + "24 3", + "ĠFI VB", + "Ġbelong ing", + "Ġmeasure ment", + "ĠBrid ges", + "ĠLot us", + "A rab", + "Ġto t", + "ur ers", + "ĠO mar", + "im edia", + "Ġr um", + "Ġ17 88", + "18 8", + "Ġover view", + "ĠPl ain", + "Ġco ached", + "23 5", + "25 6", + "Ġorgan ised", + "Ġvar iant", + "Ġav iation", + "ĠVern on", + "on n", + "Ġb reat", + "ĠM ask", + "Ġart illery", + "ĠMal i", + "ĠDire ct", + "ĠWat ers", + "ĠKle in", + "ĠWes ley", + "Ġanch or", + "N ational", + "c al", + "Ġw ish", + "Ġm eth", + "ĠH ank", + "ĠL ay", + "Ġl ion", + "ĠF lying", + "ĠU rdu", + "Ġv ag", + "sit ive", + "ĠSc and", + "ĠCl aus", + "16 1", + "14 7", + "Ġman age", + "Ġgu ards", + "Ġprogram mes", + "ĠIm age", + "ĠTor res", + "ĠHart ford", + "Ġdisappear ed", + "ĠAntwer p", + "S ch", + "V P", + "k ir", + "m ut", + "at z", + "Ġo verseas", + "Ġs ings", + "ĠS U", + "Ġp ounds", + "ĠL ey", + "ad p", + "19 35", + "Ġpro f", + "ĠNew found", + "ĠSh re", + "16 7", + "13 2", + "Ġdifferent ly", + "Ġpian ists", + "Ġdeclar es", + "E m", + "l is", + "Ġs in", + "ĠS eth", + "Ġf ran", + "Ġm ail", + "Ġh atch", + "ĠE instein", + "ĠSt op", + "ĠV ed", + "ĠCom o", + "ĠBr ngen", + "ĠAt hen", + "15 8", + "iff s", + "Ġmonaster y", + "ĠNamib ia", + "ĠHels inki", + "ĠReyn olds", + "O L", + "a ise", + "Ġt unnel", + "Ġb ay", + "ic ing", + "ĠS anskrit", + "ol ism", + "iv ors", + "olog na", + "Ġrel ation", + "ĠGo als", + "Ġwind ows", + "ĠEsp er", + "Ġjur is", + "g ame", + "en i", + "ĠA uckland", + "ĠC C", + "ĠP eg", + "ĠH imal", + "ad h", + "ĠK ron", + "ab el", + "Ġse as", + "20 23", + "Ġcomp onent", + "Ġcl ient", + "Ġcl ergy", + "18 7", + "oth s", + "25 4", + "ĠFin ancial", + "Ġfac ing", + "ĠLank an", + "ĠDur ham", + "D A", + "m ath", + "r g", + "ĠC ul", + "ĠM ing", + "ĠF ris", + "th at", + "ap ur", + "Ġr ising", + "22 5", + "Ġaff ili", + "ĠVar ious", + "Ġprint ing", + "ynam ics", + "ĠCN N", + "D ivision", + "m uth", + "Ġw ider", + "ĠN eb", + "ep ort", + "ĠAl ess", + "ne e", + "ĠGerman ic", + "22 2", + "ĠPl uto", + "emb le", + "umb ers", + "Ġgen etics", + "ĠOl ga", + "ĠEU P", + "ĠAqu atics", + "ĠPhill ip", + "Ġmaint ained", + "ĠEld er", + "ĠVoiv odeship", + "J SL", + "P rov", + "w as", + "ĠL P", + "ber n", + "19 1", + "20 6", + "Ġj ack", + "Ġ17 93", + "ev ille", + "22 3", + "Ġra pe", + "ung s", + "ĠGu ang", + "Ġed it", + "Ġorgan ist", + "Ġsil k", + "Ġmeas uring", + "Ġaccident ally", + "Ġinvest ment", + "ĠHy per", + "Ġess ential", + "char ge", + "ĠShoot ing", + "Ġnatur ally", + ". -", + "A qu", + "u er", + "Ġb er", + "ĠS ass", + "ĠT j", + "ĠT IR", + "ĠP ole", + "ĠR as", + "ay ama", + "ĠE ch", + "ong o", + "Ġch icken", + "te in", + "Ġso le", + "ĠCal endar", + "sh ort", + "af a", + "ĠTex t", + "Ġarr ive", + "Ġ180 6", + "ĠBudd ha", + "cont inent", + "|||||||||||||||| ||||", + "Ġstrip es", + "Ġteach ings", + "O ff", + "ĠS emi", + "ĠH urricanes", + "Ġl ob", + "em or", + "ĠW erner", + "19 25", + "ĠCh al", + "se in", + "22 4", + "Ġsy mmet", + "Ġfour teen", + "ene uve", + "ĠTom atoes", + "Ġbr ings", + "Ġclear ly", + "Ġabsol ute", + "b ad", + "ro k", + "ĠH ort", + "oc y", + "Ġ16 00", + "itt a", + "ros cop", + "24 4", + "Ġent itled", + "uic ides", + "ĠBudd y", + "Ġsusp ended", + "onym ous", + "ĠWor st", + "Ġlin ear", + "A f", + "n t", + "u um", + "Ġt one", + "am ura", + "ĠR ita", + "id ian", + "ĠD ul", + "ĠG ates", + "im ov", + "ĠU b", + "ĠV y", + "Ġde ity", + "20 8", + "Ġ9 78", + "Ġ17 70", + "Ġ17 98", + "22 6", + "15 6", + "ĠSe ine", + "69 7", + "ĠRail ways", + "ĠNic olas", + "Ġinfect ed", + "ĠChap ter", + "Ġsubdiv isions", + "ĠNewfound land", + "2 80", + "m u", + "or ide", + "ĠA ster", + "ht unk", + "ment al", + "Ġpopul ated", + "Ġmon k", + "Ġcar rier", + "24 9", + "ĠVal le", + "ĠNo ah", + "gr aded", + "ĠBal let", + "ĠNic ol", + "Ġastron omers", + "ĠGoth ic", + "ĠUzbek istan", + "r ise", + "om orph", + "ĠW ick", + "Ġpart ially", + "ĠCal d", + "Ġval id", + "Ġfac ility", + "Ġden omin", + "Ġcontest ant", + "ĠWhit ney", + "ĠSloven ian", + "ĠJung le", + "Sup er", + "htunk hwa", + "M al", + "h as", + "Ġ q", + "Ġw al", + "ĠM ine", + "Ġpre ced", + "Ġpar ad", + "Ġpoint ed", + "Ġ180 3", + "Ġsumm ers", + "Ġshell s", + "ĠGam eplay", + "ĠProper ties", + "asht ra", + "h ot", + "p x", + "v y", + "Ġs ew", + "Ġc emetery", + "ĠS ank", + "ĠB rom", + "ĠL ig", + "ĠG ros", + "Ġab road", + "sp ring", + "14 6", + "ĠAm anda", + "ĠBel ize", + "Ġz ones", + "Ġlearn s", + "Ġconnect ing", + "Ġastron omy", + "he art", + "Ġc ock", + "ĠH ost", + "ĠN ure", + "ĠG ael", + "ov ic", + "ut or", + "oc ity", + "ie ux", + "ok ed", + "Ġar ena", + "ĠJohn s", + "Ġdec ay", + "Ġgu itars", + "Ġdisc ontin", + "ĠSam an", + "ĠKn ox", + "Ġcreat ive", + "Ġpract ical", + "ĠElect ron", + "isher s", + "Ġdiplom atic", + "Ġnit rogen", + "Prim era", + "Ġc yl", + "Ġc rocod", + "Ġm ice", + "ĠP ablo", + "ĠI C", + "ĠB rem", + "ĠN it", + "Ġn avy", + "Ġg a", + "Ġbe er", + "Ġres olution", + "Ġrec overed", + "ĠFor um", + "Ġmod ified", + "Ġinter ior", + "ĠMe h", + "Ġint ers", + "ĠGra z", + "udd y", + "Ġi OS", + "Ġwhe at", + "Ġarchitect s", + "ĠEll iott", + "ĠBalt ic", + "ĠFif th", + "Ġpeac eful", + "ĠSchles wig", + "f ive", + "g ae", + "ĠP ir", + "ent in", + "Ġl ap", + "ĠD ud", + "im er", + "op ot", + "Ġe ars", + "ĠV ul", + "Ġ8 80", + "17 6", + "ris ing", + "ĠBer ks", + "ĠBay ern", + "ĠLog an", + "ĠStart ing", + "3 10", + "3 40", + "w ear", + "at j", + "ĠR ebec", + "eb ack", + "az ar", + "15 3", + "ĠBel le", + "Ġhand le", + "Ġge ography", + "Ġmeet ings", + "ĠBarb ados", + "Ġdifficult y", + "ĠTit les", + "ĠWell ington", + "Ġimprison ed", + "c ut", + "d an", + "ar en", + "ĠI T", + "ĠH ut", + "ĠL ip", + "ir ation", + "ĠF ast", + "ĠJ ets", + "ist on", + "ian i", + "ĠIn te", + "19 44", + "ram id", + "Ġsub sc", + "ĠDen is", + "ĠJul iet", + "Ġrecogn ize", + "utt gart", + "imens ional", + "r il", + "Ġs iege", + "ĠM ou", + "im ates", + "Ġst em", + "ĠCh urches", + "Ġle ather", + "ade us", + "Ġkn ight", + "Ġ17 97", + "ĠSh op", + "Ġsc ales", + "ĠMon sters", + "ĠDr ive", + "Ġaff air", + "Ġcover age", + "Ġmarket ing", + "found ed", + "ugs burg", + "Ġresident ial", + "ĠBeeth oven", + "m berg", + "ur us", + "ĠE yes", + "ĠK eep", + "Ġas king", + "ens ed", + "15 7", + "Ġtr ucks", + "Ġsk ill", + "Ġhistor ically", + "Ġrepresent ation", + "Ġground s", + "Ġreform s", + "ĠNikol ay", + "ĠUg anda", + "Ġoccasion ally", + "B ad", + "Ġw ears", + "Ġp el", + "ĠM GM", + "Ġh ope", + "ĠB M", + "ir y", + "ĠSt rip", + "Ġsp ending", + "Ġdis ag", + "ĠCl aire", + "Ġorgan isations", + "Ġvar iations", + "ĠAz tec", + "ĠScreen writers", + "ĠKaw asaki", + "ĠESP N", + "f red", + "p y", + "t ar", + "Ġ iod", + "Ġt ie", + "er os", + "ĠM A", + "am y", + "ĠD res", + "ch ten", + "Ġv ector", + "ĠV id", + "Ġtr ig", + "Ġcap itals", + "Ġne ither", + "ĠRou ge", + "Ġoxid ation", + ". :", + "3 80", + "u bert", + "in j", + "ĠS unn", + "Ġm oral", + "ĠL ives", + "ul in", + "ĠU se", + "art z", + "Ġbe ars", + "Ġch ronic", + "Ġsh allow", + "und erst", + "ĠAl m", + "olog ne", + "Ġac com", + "Ġinter f", + "the tic", + "Ġsurv ival", + "Ġver b", + "Ġenjoy ed", + "ĠAber de", + "Ġarrang ement", + "ĠWed nes", + "ĠNicar agua", + "v ae", + "ĠC ert", + "ĠM s", + "ĠM ald", + "ĠP ages", + "ĠP iano", + "Ġl ux", + "et own", + "ut ers", + "ĠIn sp", + "ĠUn it", + "Ġnot iced", + "ĠQ ing", + "ĠPl ants", + "Ġdec line", + "ĠAb el", + "ĠBe ast", + "Ġed itions", + "27 0", + "ĠPre par", + "ĠGar cia", + "ĠTenn is", + "ĠFe atures", + "ĠPier ce", + "ĠAsh ley", + "ĠBron x", + "Ġtong ue", + "ĠKrish na", + "H ar", + "p in", + "p rov", + "v as", + "ol ine", + "ĠR unners", + "ĠH ang", + "ĠF M", + "ĠG ret", + "Ġre ef", + "ĠZ ambia", + "Ġ25 5", + "Ġext inction", + "ĠDay ton", + "iff e", + "ĠCr ash", + "ĠMax well", + "ĠStr uct", + "Ġpron unciation", + "ĠKos ovo", + "ĠBeg inning", + "Ġsubs idi", + "Ġhorizont al", + "k el", + "n ame", + "is en", + "ĠA ugsburg", + "ĠB ess", + "ĠF o", + "ĠF resh", + "ĠD ong", + "ĠN ig", + "19 38", + "Ġ18 08", + "Ġ18 07", + "und y", + "Ġcomp ilation", + "22 7", + "vel le", + "ĠSouth west", + "ĠTur ks", + "Ġbre athing", + "Ġob ituaries", + "ĠBav arian", + "Ġpil ots", + "Ġregard ing", + "Ġcontinu ous", + "ĠTanz ania", + "Ġabst ract", + "Ġb io", + "Ġto pped", + "ĠB aku", + "Ġl ift", + "eb ody", + "ri que", + "ĠY ad", + "Ġsp erm", + "Ġelect romagn", + "anc o", + "ĠTe acher", + "ĠAm ar", + "ĠMad onna", + "Ġround s", + "ĠGen esis", + "Ġloss es", + "Ġeff icient", + "rah im", + "Ġalg ae", + "Ġinher ited", + "ĠChall enge", + "ĠKuwa it", + "th is", + "Ġg rain", + "19 29", + "Ġ7 47", + "ob ia", + "ib al", + "Ġrec over", + "ily n", + "ĠJohn ston", + "Ġsm ell", + "Ġgovern ed", + "26 4", + "ĠPak htunkhwa", + "ĠAv atar", + "Ġdet ailed", + "Ġten or", + "ĠJo ey", + "Ġrain for", + "ĠLor raine", + "mus ic", + "S D", + "b age", + "k ers", + "s ay", + "Ġs ending", + "ĠF iji", + "ĠD ad", + "ĠG ast", + "em ann", + "ĠJ ong", + "ĠJ oint", + "Ġas c", + "ĠCl oud", + "ool s", + "ĠEl im", + "Ġrep roduction", + "ĠPhil harmon", + "ĠRed s", + "Ġlight er", + "ĠIr ving", + "Ġless ons", + "ĠGreen e", + "ĠOl iv", + "Ġgra ve", + "Ġdiscuss ion", + "Ġresear cher", + "Ġsulf ur", + "Ġaccur ate", + "D ay", + "F l", + "p ers", + "y ll", + "Ġs oprano", + "al an", + "al ion", + "Ġl oses", + "ĠD rew", + "ĠO pt", + "Ġre ct", + "ew ay", + "ri um", + "end ered", + "ide a", + "amp us", + "Ġun ited", + "Ġj aw", + "Ġ17 92", + "23 8", + "ĠGr ass", + "Ġdr unk", + "Ġed ges", + "Ġdef ending", + "Ġbeg un", + "ĠWood y", + "Ġdefend ers", + "Atlant ique", + "Ġpartners hip", + "ĠFras er", + "Ġ 00", + "Ġb its", + "ad ays", + "Ġe y", + "Ġam phib", + "29 0", + "ĠMe et", + "Ġpower ed", + "esse x", + "Ġsuff er", + "ĠRom antic", + "Ġsumm it", + "ĠYank ees", + "Ġhelic opter", + "T o", + "Ġf asc", + "Ġm atters", + "ĠH of", + "Ġhe ated", + "se i", + "ry ing", + "Ġab ilities", + "ĠCar men", + "Ġbel ly", + "umb o", + "ĠHay es", + "ĠDise ases", + "Ġsched ule", + "Mart in", + "3 50", + "c od", + "c ock", + "h aus", + "n ian", + "n ai", + "Ġt on", + "Ġb ars", + "ĠM ail", + "ĠR iley", + "ĠG ross", + "st ed", + "19 32", + "Ġy ards", + "Ġ11 5", + "ĠAd miral", + "23 3", + "sh a", + "Ġcons cious", + "37 4", + "ĠQu ant", + "ĠKar achi", + "ĠBur ke", + "eld a", + "Mar ne", + "Ġattract ions", + "Ġnob ility", + "Ġrub ber", + "Ġaccompan ied", + "Ġrept iles", + ". ).", + "J ack", + "e als", + "an ch", + "Ġc uis", + "ĠC ut", + "ĠM ini", + "ĠP avel", + "am ine", + "ĠB amb", + "ĠR up", + "ĠL ige", + "et us", + "ag us", + "Ġcons ort", + "40 5", + "Ġtop ic", + "Ġ180 4", + "Ġqual ify", + "ĠAut onomous", + "umber land", + "d ad", + "v iation", + "ĠS ail", + "ĠC ash", + "ĠB ie", + "ĠJ et", + "im ony", + "if ice", + "ry an", + "ĠSh izu", + "22 9", + "ĠBr ent", + "ĠHer ald", + "28 6", + "ij n", + "ĠLaw s", + "pe z", + "ĠLy nd", + "Ġtheor em", + "Ġspir its", + "Ġtick et", + "ĠBerks hire", + "a q", + "Ġp ent", + "ĠT rom", + "ĠM iddles", + "ly wood", + "Ġhe mor", + "end ra", + "ĠShe ffield", + "Ġcol le", + "17 1", + "Ġsm oke", + "23 2", + "Ġfe els", + "28 5", + "33 4", + "ĠSch n", + "Ġlab our", + "ĠDi ocese", + "Ġhar vest", + "Ġcerem onies", + "ivor ous", + "Ġhabit ats", + "Ġadvert is", + "ĠCinem a", + "football er", + "Ġmo ist", + "Ġingred ients", + "> [", + "s erv", + "al u", + "ĠT ale", + "Ġm ines", + "ĠC rom", + "ol in", + "ĠF K", + "ab l", + "Ġterm in", + "Ġvar ies", + "ĠMy th", + "ĠCont emporary", + "Ġpercent age", + "Ġbound aries", + "ĠSac ram", + "histor ic", + "Ġc ash", + "Ġp ine", + "le ader", + "ĠL up", + "ul um", + "Ġyear ly", + "ĠSc r", + "ĠPr eston", + "de ath", + "ĠDep art", + "Ġred ucing", + "Ġmult ipl", + "not es", + "ĠEp ic", + "Ġprob ability", + "Ġpred ecess", + "ĠTunis ian", + "ĠFu ji", + "ĠCraw ford", + "Ġt rick", + "Ġt iger", + "Ġb ip", + "ot ing", + "ĠG iven", + "ĠAn k", + "24 1", + "67 7", + "Ġread ers", + "ĠOs wald", + "ĠLoc ation", + "pre fecture", + "Ġtri als", + "Ġbenef it", + "ĠOri ental", + "h anded", + "s ung", + "w y", + "ar ms", + "ion i", + "19 23", + "Ġfound ers", + "ĠEd o", + "ĠBe aver", + "24 7", + "Ġunder water", + "26 8", + "33 5", + "ĠDav ies", + "Ġdisc rimination", + "oph ical", + "Ġtrans gender", + "ĠBas el", + "ĠSat an", + "Ġplaywright s", + "ĠConc ord", + "Ġcopy right", + "Ġveter an", + "% ,", + "T ur", + "w ord", + "Ġb alls", + "ĠM LB", + "ĠH ag", + "ĠH ague", + "ĠH iro", + "ĠO wn", + "and e", + "os o", + "Ġan arch", + "ĠSh i", + "22 8", + "Ġra ced", + "aj o", + "Ġrel ief", + "29 7", + "Ġdevelop er", + "ĠTur t", + "Ġarr ival", + "ĠHam mer", + "ĠOl ive", + "Ġsocial ist", + "ĠHy der", + "Mar ie", + "Ġflow ing", + "Can ada", + "Ġencour aged", + "ĠConstit u", + "ĠTaj ik", + "ĠMR X", + "P C", + "R eal", + "h ou", + "s up", + "Ġt ack", + "Ġb rom", + "us hes", + "ĠH ipp", + "ĠD ancing", + "ĠG os", + "st en", + "ep per", + "Ġelect ro", + "Ġdr iven", + "Ġdef enc", + "ĠStud ent", + "ĠClass ification", + "Ġhot els", + "ĠMcC l", + "Ġlegisl ation", + "ĠBerg er", + "Ġhy brid", + "Ġchap ter", + "Ġnut ri", + "P R", + "k ind", + "ĠT ip", + "ĠH ul", + "id an", + "ĠN CAA", + "ĠSt ore", + "ĠV ER", + "ess es", + "Ġ10 8", + "ev es", + "ĠSc ots", + "Ġany more", + "48 5", + "Ġspeak s", + "ĠHind us", + "ĠAlb any", + "ĠFre eman", + "Ġmechan ism", + "ĠVik ings", + "3 60", + "s outh", + "Ġt adp", + "ĠS M", + "Ġm ob", + "ĠM ast", + "ĠP aper", + "ĠG az", + "th on", + "ĠV era", + "qu est", + "omet own", + "39 5", + "ĠLiter ary", + "Ġlabor atory", + "Ġfresh water", + "G o", + "N FL", + "at ist", + "ĠW essex", + "th ird", + "ill ar", + "19 31", + "ri ka", + "IN E", + "ĠAr lington", + "omet ric", + "25 8", + "ĠSch ol", + "ĠPre z", + "ĠIm ag", + "Ġradio active", + "ĠSol o", + "Ġtravel ing", + "Ġreact s", + "zle z", + "ĠSend ai", + "ĠInfect ious", + "role um", + "1 16", + "N T", + "f ilm", + "m ology", + "Ġt asks", + "Ġf iled", + "ĠT up", + "ĠH ors", + "ĠD inosaur", + "ĠN ipp", + "ĠTh ous", + "Ġ17 99", + "Ġret iring", + "28 4", + "Ġmembers hip", + "ĠHall ow", + "sm ith", + "ĠWhe el", + "ĠCrim inal", + "Ġeleph ant", + "Ġintellect ual", + "ĠMarse ille", + "Q ue", + "W ill", + "Ġthe ology", + "ed i", + "ol id", + "ĠI de", + "ĠD anger", + "23 9", + "29 6", + "ĠSl am", + "Ġview ed", + "Ġbroadcast s", + "Ġcandid acy", + "Ġcelebr ity", + "ĠBerg en", + "ĠHom o", + "ĠInf antry", + "ĠVers ailles", + "Ġrequire ments", + "ĠSof ia", + "Ġc utting", + "Ġh urricanes", + "us on", + "ĠH ak", + "ul er", + "ĠSt ones", + "Ġcon cepts", + "Ġsc orer", + "23 4", + "23 6", + "Ġqu it", + "26 5", + "ĠMe iji", + "Ġdisc ip", + "Ġcoll aboration", + "ili ar", + "Ġmagn et", + "Ġrat ings", + "ĠGon zlez", + "ĠMoroc can", + "Ph il", + "Ġemot ional", + "Ġmos que", + "Ġexclus ive", + "Ġantib iot", + "ipel ago", + "j ee", + "m art", + "m ie", + "re ads", + "ĠH ack", + "ĠL ec", + "Ġl ie", + "ĠG aul", + "19 27", + "ant le", + "ĠY ak", + "Ġte aches", + "23 7", + "ĠAb e", + "50 6", + "Ġany where", + "ĠSim ple", + "Ġcong estive", + "ĠSlav ic", + "Ġsubsequ ently", + "pron ounced", + ">[ [", + "it imes", + "ĠT ues", + "ĠB ard", + "ĠR ash", + "ĠThe res", + "ĠE lean", + "Ġon going", + "erm ain", + "27 5", + "Ġsur geon", + "57 6", + "osp her", + "ye ong", + "Ġachie vements", + "ĠBrad ford", + "Ġaim ed", + "Gar onne", + "it ian", + "ic ious", + "ĠS isters", + "Ġf isher", + "Ġl ibraries", + "od ont", + "ary a", + "ĠInd us", + "Ġ2019 20", + "24 6", + "25 1", + "29 5", + "Ġsw orn", + "ĠHon orary", + "asc al", + "Ġvir tual", + "Ġcook ed", + "Ġcolumn ist", + "Ġowners hip", + "Ġabbre viated", + "Ġoccas ions", + "R oman", + "Ġp in", + "ĠM og", + "ĠH yp", + "ce ived", + "att y", + "23 1", + "Ġcap able", + "ox ide", + "26 2", + "by e", + "Ġfun ctional", + "Ġport rait", + "Ġ180 5", + "Ġbank rupt", + "ĠGard ner", + "ĠLanc aster", + "Ġseg ment", + "ĠRebec ca", + "p ective", + "t urn", + "Ġs its", + "ĠC red", + "ĠG ospel", + "ind ing", + "Ġtra ct", + "ĠRe id", + "Ġhospital ized", + "Ġcart oons", + "ĠMand ela", + "ĠExt reme", + "Ġconqu est", + "arth y", + "ĠSold ier", + "he ld", + "ĠM oss", + "ĠM aking", + "ĠM RT", + "ĠI ber", + "ent ieth", + "ĠL uk", + "Ġl ib", + "ĠN inja", + "Ġcom fort", + "ĠCol lect", + "30 5", + "yn es", + "ĠEx ample", + "Ġprocess or", + "ĠBur ma", + "Ġsuper cent", + "ĠTit ans", + "ĠLatv ian", + "Ġceleb rities", + "G od", + "L I", + "h yd", + "l ord", + "is dom", + "ĠC yn", + "ĠR ost", + "ĠH undred", + "ĠN one", + "ĠK ag", + "se v", + "Ġ9 80", + "ten se", + "Ġcount ed", + "Ġcommun ications", + "Ġsur pr", + "ĠRo ads", + "ĠBas que", + "uz z", + "Ġexper imental", + "Ġz oo", + "Ġwhe els", + "ĠCele br", + "ĠAppear ance", + "Ġexcell ent", + ". '", + "1 21", + "n is", + "ĠS uk", + "Ġdis hes", + "Ġra cer", + "Ġsy ll", + "Ġass umed", + "Ġland mark", + "ĠBas in", + "ux ili", + "Ġeduc ators", + "ĠHor iz", + "Ġautom atically", + "Ġassass inated", + "Ġdivers e", + "k inson", + "in os", + "ĠS ob", + "ĠT yr", + "Ġl oyal", + "ĠV oc", + "rit ion", + "Ġsh aring", + "ik awa", + "Ġro pe", + "30 6", + "iven ess", + "ĠMy stery", + "pher d", + "Ġproduct ions", + "Ġfre estyle", + "Ġfact s", + "ĠTit le", + "cha ft", + "hard t", + "ĠAlger ian", + "ĠMahar ashtra", + "Ġhypothes is", + "ĠShizu oka", + "P A", + "Ġt ur", + "ĠS ue", + "Ġm elt", + "ĠD uchy", + "ĠJ ump", + "ost a", + "Ġ17 50", + "ĠLa f", + "30 4", + "25 7", + "28 1", + "ĠVal encia", + "ĠAg u", + "ĠSam oa", + "ĠCount ies", + "ĠBern ie", + "enz ie", + "ĠShar on", + "onstr uction", + "Ġfair ly", + "ĠVis ual", + "Ġtrav elling", + "Port ug", + "Ġschem e", + "ĠNure mberg", + "opot am", + "Ġt ours", + "Ġa w", + "Ġm anner", + "ĠM uss", + "Ġn aming", + "ĠK em", + "ĠK ai", + "um per", + "19 43", + "ile e", + "ĠSc hed", + "let cher", + "ald i", + "28 8", + "ĠMed ieval", + "ush ing", + "osp ace", + "Ġthought s", + "ĠTurk ic", + "Ġstop ping", + "Ġval uable", + "ĠVill eneuve", + "ĠStar r", + "ĠLi u", + "ĠMoh ammed", + "Ġcomput ing", + "Ġkingdom s", + "Ġfair y", + "Ġcompar ison", + "Austral ia", + "Ġske leton", + "Ġvolt age", + "L et", + "x iety", + "he us", + "ĠS oria", + "Ġf ingers", + "ĠT ah", + "ĠM ist", + "ĠP orter", + "Ġto b", + "oc ial", + "27 7", + "28 7", + "26 1", + "47 5", + "Ġmanag ing", + "Ġsix teen", + "Ġcampaign s", + "ĠMoh amed", + "R ep", + "b ound", + "Ġt act", + "as so", + "Ġm it", + "ĠP orts", + "om ed", + "ĠV rh", + "ub nden", + "ell ites", + "Ġ4 50", + "Ġ17 76", + "Ġ14 00", + "ĠJu els", + "ĠWest on", + "Ġdef ended", + "ĠSer ie", + "Ġopp onents", + "ĠPublic ations", + "Ġsitcom s", + "ĠThrough out", + "Ġreleg ated", + "Ġere ct", + "V er", + "l ift", + "n ational", + "Ġc a", + "ĠS F", + "av id", + "ĠY oshi", + "ĠSp ect", + "Ġ16 3", + "inn ess", + "Ġcommun icate", + "ĠPart s", + "24 8", + "27 6", + "ĠSil v", + "Ġcreat ure", + "Ġmotor way", + "ĠBrand enburg", + "ĠEug en", + "ĠCec il", + "ĠSiber ia", + "G rand", + "or c", + "Ġb id", + "ĠB ologna", + "ĠJ ill", + "ĠO le", + "Ġfor b", + "av ed", + "ri ot", + "29 9", + "af ia", + "ĠMon key", + "37 5", + "68 7", + "35 5", + "ĠAg ent", + "ĠEcuador ian", + "ĠRic ardo", + "Hol stein", + "Ġhemor rh", + "4 50", + "J ean", + "l ied", + "Ġm ammal", + "ĠP ine", + "ĠR w", + "ĠH ull", + "ĠD ow", + "Ġe lector", + "ew ork", + "ĠAnd or", + "Ġrel ay", + "ĠRuss ians", + "let ter", + "Ġret reat", + "com mon", + "25 9", + "ĠGra ubnden", + "Ġsurv ivors", + "Ġhon ors", + "atter ed", + "Mar itimes", + "ĠIndust ries", + "Ġsuit able", + "ĠWals h", + "M en", + "r ens", + "Ġm asc", + "ĠC ust", + "ig ata", + "ĠL ines", + "ĠG an", + "00 1", + "ĠAr ms", + "ĠInd ex", + "Ġad ventures", + "ĠGr ig", + "25 2", + "writ ing", + "38 5", + "the l", + "ĠSm ash", + "Ġsw itched", + "ĠHum ph", + "Ġ180 9", + "Ġpract iced", + "igg ins", + "Ġfr ame", + "Ġcam eras", + "ĠAud io", + "Ġspect rum", + "Ġri ots", + "ĠFly ers", + "ĠNeigh bor", + "ĠRoche ster", + "; \"|", + "A b", + "O ise", + "at ro", + "re ction", + "ĠM eyer", + "iv ic", + "Ġal ien", + "ĠK ara", + "ĠK atherine", + "Ġtw ins", + "30 7", + "ĠBar ber", + "26 6", + "26 9", + "Ġleg ally", + "ĠIll ustrated", + "ĠChurch ill", + "Ġdet ail", + "Ġinf antry", + "mov ie", + "P ak", + "b eck", + "ĠC od", + "ĠR ex", + "ĠN othing", + "ĠG ut", + "ĠW id", + "ĠSt uttgart", + "Ġwh ales", + "ĠMar ilyn", + "ĠHar mon", + "40 6", + "29 4", + "of ten", + "ĠBy ron", + "ĠJud ith", + "Ġmerg er", + "ĠLet ter", + "Ġconcern s", + "Ġorb ital", + "Ġadvis or", + "Ġcollaps ed", + "it he", + "ĠS D", + "ĠS exual", + "ĠN ights", + "19 21", + "Ġr ni", + "Ġ11 2", + "ĠBr ady", + "ĠPh oto", + "27 1", + "28 2", + "28 9", + "Ġob last", + "ĠArch ie", + "udd in", + "ĠCatal an", + "ĠRh y", + "ĠSol id", + "ĠLeg ends", + "Ġconnect ions", + "ĠAlf onso", + "Ġdisp uted", + "Ġteen ager", + "ĠFal con", + "Ġanthem s", + "ĠEthiop ian", + "D en", + "i ad", + "Ġf ox", + "Ġf ract", + "Ġh ij", + "ĠL us", + "ĠD ry", + "ĠV ia", + "Ġ17 94", + "Ġmar ch", + "26 7", + "70 5", + "Ġoper ator", + "ĠMad h", + "Ġhost ing", + "ĠMic he", + "ĠSecond ary", + "cest ershire", + "Ġcycl ones", + "ĠToy ota", + "ĠExpl orer", + "Ġric hest", + "ĠElean or", + "U SA", + "he ng", + "al om", + "al and", + "Ġin stant", + "ĠM ia", + "ĠP is", + "ĠB end", + "ĠL ill", + "ct rine", + "Ġl ibert", + "Ġn aked", + "ĠNew ark", + "33 3", + "70 4", + "Ġge ographical", + "ĠPerson nel", + "ĠOd ys", + "ĠField s", + "ĠHann ah", + "Ġsib lings", + "ropri ate", + "ĠMugh al", + "Ġd rew", + "Ġl iv", + "ĠF ashion", + "ĠF ischer", + "ĠD olph", + "ĠCh itt", + "Ġ17 77", + "ĠAust en", + "ĠCar pent", + "67 4", + "ĠReg ister", + "ĠBi ology", + "ĠJac qu", + "Ġly ric", + "Ġemploy ed", + "Ġjump ing", + "ĠCer ro", + "Ġwa it", + "ĠCole man", + "ĠSent ai", + "Ġtob acco", + "i ors", + "n orth", + "Ġf lex", + "ĠC oc", + "ent ry", + "19 22", + "ĠCh u", + "ant om", + "27 2", + "27 9", + "29 1", + "str m", + "ĠUS S", + "Ġpass age", + "ĠTurk men", + "ĠLeg ion", + "Ġspeed s", + "lyn n", + "Ġearthqu akes", + "ĠShort ly", + "Ġdisplay ed", + "Ġorb its", + "cos ystem", + "ĠImper atore", + "k ok", + "Ġs a", + "ĠC ologne", + "ĠP au", + "Ġto ys", + "ĠI X", + "Ġfor ever", + "ĠK rak", + "ĠV ij", + "te chn", + "ĠRob ot", + "ĠOd d", + "IA A", + "ĠLyn ch", + "ĠRun ner", + "ĠHem isphere", + "ĠTrain ing", + "Ġinn ov", + "Ġupd ated", + "Ġkidn apped", + "ĠHispan ic", + "Ġtelesc ope", + "ĠWednes day", + "B M", + "u ing", + "Ġs aving", + "ĠP S", + "Ġh ometown", + "ĠR oland", + "ĠD um", + "ers dorf", + "ĠJ h", + "ĠK ais", + "ac ent", + "ĠCh o", + "ĠPr iest", + "Ġtra its", + "30 8", + "30 9", + "ĠBel ow", + "64 4", + "Ġsk ating", + "ĠFlor a", + "Ġ0 5", + "ĠMass acre", + "Ġne ur", + "ĠGra f", + "ĠAE W", + "ĠScand in", + "Ġjuris d", + "O ld", + "h urst", + "it able", + "Ġf o", + "ĠC hteau", + "ĠM ina", + "Ġn a", + "ill ic", + "ĠIn ns", + "ĠV est", + "ĠTh urs", + "ĠAn ch", + "Ġ17 3", + "uct s", + "ĠPro cess", + "ĠBl ind", + "Ġmon uments", + "Ġmed ian", + "34 5", + "ĠDon key", + "Ġcomm anded", + "Ġshould er", + "ĠTim or", + "ĠAlb anian", + "Ġfriends hip", + "ĠUt recht", + "ĠAut om", + "Don nell", + "cont inental", + "Ġdiscover ies", + "Ġsurr ender", + "Ġbeet les", + "ĠParad ise", + "j p", + "l ig", + "x x", + "ĠA part", + "ĠC ors", + "ĠM EP", + "ĠB it", + "ĠH es", + "ĠG one", + "ĠW izard", + "ra per", + "Ġ17 91", + "ĠSw itch", + "Ġdif fer", + "ott i", + "40 3", + "64 5", + "58 6", + "ĠPri or", + "ĠEarth qu", + "Ġtechn ologies", + "ĠJer ome", + "ĠNob le", + "ĠVer dy", + "Ġtowns hip", + "ĠId ol", + "ĠFre ud", + "ĠDub ai", + "Ġseem ed", + "ĠEmer g", + "Ġgram mar", + "Ġrein for", + "p resident", + "an an", + "Ġthe aters", + "Ġ1 200", + "ĠC lear", + "Ġd ella", + "ĠB ism", + "ĠD up", + "ĠD iff", + "ĠV ision", + "Ġpro fit", + "Ġnot ation", + "ĠSh awn", + "ĠTe ch", + "27 8", + "lo aded", + "Ġpat ent", + "Ġdraw ings", + "Ġcontrib ution", + "Ġcouncil s", + "Ġham mer", + "Ġdoub les", + "ĠMold ova", + "T r", + "d em", + "ĠC sar", + "Ġal k", + "Ġr ays", + "ĠMar vin", + "les h", + "Ġen cl", + "ĠEl ena", + "Ġed itors", + "24 2", + "ĠMuseum s", + "ĠId ent", + "Ġparticip ants", + "Ġrad ical", + "Ġillust rated", + "Ġvow el", + "ĠBhut an", + "ĠZur ich", + "D T", + "on ial", + "ĠC e", + "Ġto y", + "ĠR id", + "ev o", + "27 4", + "ĠBro ck", + "35 7", + "Ġdist urb", + "Ġdeb t", + "Ġscreen play", + "Ġfar mer", + "Ġappro val", + "ĠClass ics", + "Ġsupp orter", + "ĠRein muth", + "ĠMcM ahon", + "ĠTrad itional", + "M E", + "b ot", + "as ma", + "ĠC ros", + "ĠM alt", + "ĠR ings", + "ur ia", + "st s", + "Ġg ran", + "ish ing", + "Ġv oy", + "ĠZ ach", + "Ġpar a", + "ĠTr uth", + "Ġnear est", + "Ġsol utions", + "Ġtour ed", + "ĠWater loo", + "Ġassist ance", + "ĠKan agawa", + "igg s", + "Ġsurg ical", + "Ġpan el", + "child ren", + "Ġchore ographer", + "ĠArsen al", + "o op", + "Ġw ard", + "ĠA K", + "ĠJ UN", + "Ġst olen", + "Ġbe ans", + "ĠZ ion", + "Ġlar vae", + "Ġwhere as", + "Ġinter face", + "ĠMil ky", + "Ġfight ers", + "ĠCra zy", + "Ġelement ary", + "ĠMoz amb", + "Ġadj ust", + "an ov", + "ro ve", + "ĠT av", + "ĠT ina", + "ĠC ase", + "ĠI ly", + "ĠH our", + "ĠH MS", + "ĠN iel", + "ĠW ool", + "Ġhe aven", + "ell an", + "iz ers", + "Ġpart ial", + "Ġ9 60", + "40 7", + "29 2", + "ĠPort o", + "sk aya", + "Ġdro ve", + "Ġheadqu arter", + "zh ou", + "Ġannoun ces", + "Ġappar ent", + "F I", + "Ġin sc", + "ĠM ec", + "id on", + "ĠD ana", + "ĠE leph", + "Ġv ast", + "Ġun f", + "Ġdirect ions", + "ĠMed ici", + "35 4", + "35 9", + "Ġsign ing", + "Ġsurv ivor", + "Ġinstr uction", + "ĠRome o", + "ĠKon stant", + "Ġcolumn s", + "Ġcinem at", + "Ġfung i", + "uxili ary", + "3 21", + "] .", + "r unning", + "Ġb ag", + "ic ht", + "ĠS ok", + "Ġp riz", + "ĠT ac", + "ĠD ukes", + "Ġ3 000", + "ĠZ ero", + "ĠMan ipuri", + "Ġpar am", + "40 4", + "ĠMich a", + "Ġgen ocide", + "ĠGod dess", + "Ġdi ary", + "ĠWork ing", + "ĠChap man", + "Ġvolcano es", + "ĠPatri arch", + "ĠAchie vement", + "Ġ u", + "on ist", + "ĠS ach", + "ĠS tern", + "ĠS SS", + "ĠL uz", + "Ġst er", + "Ġ18 3", + "Ġsp iders", + "are z", + "ier i", + "ĠAnd es", + "Ġsec ure", + "30 2", + "ae us", + "ĠSch l", + "Ġsoc iologist", + "ĠPaul a", + "Ġprot agonist", + "Ġvar iation", + "Ġinvent ion", + "ploy ment", + "Ġassoci ate", + "ĠLim burg", + "Ġden ied", + "ĠShar ma", + "ĠRoberts on", + "ĠMathemat ical", + "s ub", + "or ah", + "ĠB uk", + "ĠL ep", + "ĠN XT", + "im en", + "all ing", + "Ġrem ark", + "33 9", + "65 7", + "Ġserv ants", + "ĠSy mb", + "ĠHigh land", + "Ġbur ial", + "Ġautom atic", + "ĠMarc os", + "ynam ic", + "ĠRab bit", + "Ġsed iment", + "ĠWi ener", + "A c", + "G S", + "g ov", + "k top", + "Ġw ool", + "Ġw inters", + "it udes", + "ĠS app", + "as u", + "ĠP ione", + "ĠI OC", + "ĠE C", + "ĠE ur", + "Ġk iss", + "ap o", + "19 26", + "air es", + "ĠAll ah", + "50 9", + "ĠChar ter", + "ĠEn s", + "65 4", + "Ġcompet itive", + "ĠIm ages", + "enth al", + "ĠCorn el", + "Ġflood s", + "ĠLaur en", + "ĠNi igata", + "Ġprep are", + "P M", + "Ġb ib", + "Ġh ier", + "ĠB ella", + "ĠL und", + "ĠL uck", + "Ġst ays", + "ith ms", + "Ġen cyclop", + "sh ine", + "ĠBar oque", + "Ġcr uel", + "ae a", + "35 2", + "ĠOfficial s", + "Ġaut umn", + "ĠPenn y", + "Ġdet ect", + "ĠSur in", + "Ġrev olt", + "Ġdisestab lished", + "Ġabbre viation", + "ĠBelf ast", + "ĠQur an", + "ĠRhin eland", + "ĠHallow een", + "on o", + "or rect", + "es ch", + "Ġw inger", + "Ġf usion", + "ĠP A", + "Ġth rew", + "ĠAl leg", + "Ġcent imet", + "Ġnational ist", + "50 5", + "ĠSch ne", + "Ġunivers al", + "ĠMid lands", + "Ġinterview s", + "Ġinstrument al", + "ĠIsab ella", + "ĠHig her", + "agre b", + "ĠA ly", + "ĠT il", + "ĠC ult", + "ĠR ule", + "ĠN T", + "all iga", + "av o", + "og e", + "orm al", + "rop ods", + "Ġra w", + "Ġthan ks", + "40 8", + "ĠGar field", + "asc ular", + "ĠAle k", + "Ġax is", + "ĠHold en", + "U p", + "b ec", + "Ġs ap", + "Ġp eng", + "Ġp orts", + "Ġm ars", + "ĠP f", + "ĠP all", + "ĠP aw", + "ĠD iane", + "Ġg or", + "ĠU d", + "Ġ18 11", + "ĠY un", + "Ġcan al", + "Ġun h", + "Ġ9 90", + "clud es", + "Ġdec k", + "40 2", + "70 8", + "Ġint elligent", + "Ġdiv ine", + "Ġfin ance", + "Ġcond uctors", + "Ġhuman ity", + "ĠRichard s", + "Ch ar", + "ĠSand ra", + "Ġswim mers", + "ĠPunjab i", + "Ġprefer red", + "ĠKham ba", + "Ġvel ocity", + "s son", + "ĠN est", + "ĠJ i", + "Ġ3 166", + "ran k", + "ĠY oun", + "Ġ17 87", + "ĠPl atinum", + "Ġcons oles", + "80 8", + "Ġem er", + "65 3", + "67 5", + "Ġdisc overs", + "ĠTw elve", + "Ġreal ized", + "Ġche f", + "Ġprotect s", + "Ġpers u", + "Ġfund s", + "ĠSerge y", + "Ġpack age", + "ĠAdv anced", + "Ġwithd rew", + "Ġstrik er", + "ĠMcN aught", + "Ġchalleng es", + "ĠTues day", + "K O", + "h ad", + "m os", + "he nd", + "ĠS T", + "Ġm ath", + "Ġd ys", + "ĠL iz", + "ĠF ellow", + "her ry", + "ĠK ell", + "ĠSt a", + "Ġcon spiracy", + "Ġcan cel", + "ĠShe ikh", + "Ġcl ouds", + "Ġtr ilogy", + "Ġmain stream", + "29 8", + "70 9", + "unk er", + "ĠTre vor", + "Ġconv inc", + "ĠCop per", + "ĠDeb ut", + "ĠFair y", + "Ġfeed ing", + "Ġwealth y", + "ĠEdu ardo", + "ĠBohem ia", + "Ġbicy cle", + "Ġcuis ine", + "ĠHyder abad", + ". ),", + "is le", + "re hens", + "ĠP ain", + "ĠP ract", + "ent a", + "ĠR ik", + "Ġwas n", + "st ock", + "op us", + "ra ch", + "um ann", + "ĠHe y", + "ab ul", + "Ġad m", + "ict ions", + "ĠCon cer", + "ĠFl ames", + "eng ths", + "ĠSm art", + "iol a", + "ĠAcc idental", + "Ġinvol ve", + "Ġmonth ly", + "Ġsat isf", + "ĠTal iban", + "Ġpal m", + "Ġcontest ants", + "sec ond", + "ĠLeic ester", + "A v", + "L ife", + "on ing", + "Ġs ells", + "ĠT ill", + "ĠN ish", + "ĠN ied", + "th ia", + "Ġg ift", + "ut z", + "ac io", + "Ġ17 75", + "ĠJoh an", + "ĠBr un", + "ĠEd ith", + "Ġrem ote", + "ij k", + "ĠHor ror", + "fort un", + "oir s", + "ĠDiam onds", + "ĠChen nai", + "Sax on", + "Ġmedic ines", + "Ġin tern", + "ĠA argau", + "ĠT ate", + "ĠP ia", + "Ġn eb", + "ĠK ppen", + "ĠSt ras", + "Ġpro s", + "ud i", + "Ġcon fess", + "Ġde ities", + "Ġ17 96", + "ĠPl aza", + "Ġtra pped", + "ĠLa os", + "ĠGu ill", + "50 7", + "80 6", + "34 7", + "64 7", + "ĠJean ne", + "Ġemb ry", + "Ġsun light", + "Ġopt ion", + "ĠFight ing", + "Ġrecomm ended", + "Ġdistingu ished", + "Ġdispl ays", + "ĠHok kaid", + "ĠYev gen", + "R ock", + "l ength", + "m and", + "Ġt ables", + "en ic", + "ĠM ate", + "ec hes", + "19 20", + "ate ver", + "ass is", + "sp eed", + "Ġac oustic", + "uk o", + "erv ille", + "Ġcr uc", + "Ġgu arant", + "ĠUS B", + "33 7", + "34 3", + "65 1", + "ĠArt em", + "Ġsequ els", + "ĠGre ens", + "ĠLen in", + "Ġlif estyle", + "Is rael", + "ĠPeng uin", + "chw itz", + "Sec ond", + "Ġaf raid", + "Ġdiscontin ued", + "er ie", + "ĠS aul", + "re ated", + "Ġd ual", + "ĠD ies", + "ĠK ann", + "ĠK ness", + "ĠHe ads", + "ĠIn flu", + "ry n", + "Ġra ising", + "ĠTe legraph", + "Ġqu ad", + "70 3", + "rew s", + "Ġdem on", + "ĠConf uc", + "Ġhom eless", + "ĠBal och", + "ĠProgram ming", + "Ġrit ual", + "Ġtrump et", + "chten stein", + "ĠPhilharmon ic", + "! .", + "g irl", + "w ind", + "Ġc ake", + "Ġc uts", + "ĠS uicide", + "Ġm ang", + "ĠP WI", + "ĠH abit", + "ĠL j", + "ĠN ir", + "ĠN ur", + "Ġg lands", + "ĠSt ark", + "if ier", + "ĠV eter", + "ĠTh ir", + "Ġcl uster", + "Ġup coming", + "Ġtr iple", + "50 8", + "34 1", + "ĠRec ent", + "Ġdest ination", + "ĠMa o", + "ĠElect ions", + "Ġcer am", + "iser ies", + "ĠPhot os", + "Ġexplan ation", + "c as", + "i ary", + "z one", + "Ġs essions", + "ĠS add", + "ĠA IDS", + "Ġto oth", + "ĠI A", + "Ġn urse", + "ĠW ies", + "ĠIn st", + "Ġhe ating", + "ĠV isc", + "og ist", + "og ie", + "ern o", + "Ġar ist", + "cl ub", + "ĠSh ane", + "sh op", + "ĠGu err", + "60 6", + "36 2", + "Ġess ays", + "Ġconcern ed", + "ĠPsych ology", + "ĠInvest igation", + "ĠOil ers", + "ĠHass an", + "Ġbrows er", + "N BA", + "s ix", + "ar is", + "ĠC B", + "ĠCh ip", + "iss el", + "ubl ics", + "ĠPr ussian", + "ĠPh D", + "ĠAb h", + "40 9", + "33 1", + "33 6", + "34 4", + "38 1", + "45 5", + "Ġdist ant", + "36 3", + "ĠMarsh al", + "ĠHawai ian", + "ĠJournal ists", + "ĠColon ial", + "ĠMarin os", + "ĠAnto ine", + "rg uez", + "ĠKness et", + "er ic", + "Ġto es", + "ĠF letcher", + "ĠG etty", + "ign on", + "Ġwh ale", + "Ġor al", + "Ġr ises", + "ll a", + "Ġgr ant", + "33 8", + "ator ies", + "64 3", + "ĠPer fect", + "ĠDire ctors", + "ĠMah m", + "Ġlo op", + "head ed", + "Ġopin ions", + "ĠBritann ica", + "Prov ence", + "C ube", + "D R", + "S F", + "f i", + "g ren", + "m ain", + "ĠS es", + "Ġf ake", + "ĠP itt", + "ĠR ao", + "ĠV ale", + "Ġr uins", + "ĠZ agreb", + "Ġbl ow", + "33 2", + "Ġrun way", + "34 6", + "34 8", + "39 3", + "ĠNot re", + "Ġide al", + "Ġimp e", + "Ġvis its", + "ĠDan ube", + "Ġdescrib ing", + "isl av", + "ĠHum ans", + "ĠJackson ville", + "ĠOver all", + "ĠGram mar", + "ĠRod rguez", + "ĠHan over", + "Ġstadium s", + "Ġfrequ ent", + "ĠZh ang", + "ĠEngine ers", + "Ġteen age", + "ĠHond a", + "Ġven om", + "ĠLie chtenstein", + "ĠImport ant", + "ed es", + "Ġin land", + "ĠT ot", + "ing ly", + "ĠM oor", + "Ġd orm", + "ĠP ix", + "ĠB ret", + "ĠL it", + "Ġl over", + "ĠD ag", + "Ġfor ec", + "Ġst ere", + "Ġshe et", + "Ġmon itor", + "Ġgovern ors", + "67 3", + "ĠQu inn", + "ĠDo ctors", + "ĠJun ction", + "ĠDou b", + "Ġemot ions", + "ĠCyr us", + "ĠBrig ade", + "ĠSacram ento", + "Ġ els", + "er b", + "it one", + "Ġm as", + "ĠM C", + "ĠM ole", + "ĠH its", + "ĠE leven", + "Ġpl ural", + "ern ess", + "ision al", + "Ġdis miss", + "ĠTr uman", + "ĠMon arch", + "Ġlast s", + "Ġbusiness woman", + "ĠAg re", + "ĠGreen wich", + "ĠOk in", + "Ġbr ig", + "Ġreact ing", + "ĠSab ha", + "Ġcust oms", + "l at", + "v ill", + "an imated", + "en arian", + "Ġin tense", + "ĠC INE", + "Ġl ith", + "oc ation", + "man s", + "ĠSh arks", + "we ed", + "Ġapp le", + "ĠRiver a", + "ĠAll ison", + "60 3", + "ĠReg iment", + "ĠMet eor", + "ĠGo es", + "ĠOl ivia", + "Ġmid field", + "Ġlim estone", + "ĠEll iot", + "ĠPres ley", + "Ġflag s", + "Ġterrit orial", + "ĠDist ribution", + "ĠBey ond", + "ĠBes ides", + "Ġbon us", + "Work s", + "ĠUran us", + "Ġclar inet", + "it ational", + "ĠT ud", + "ĠM upp", + "ent on", + "ĠE rit", + "ĠW ander", + "ĠK amp", + "ap ing", + "if ax", + "=\" #", + "50 2", + "60 4", + "ĠX IV", + "37 7", + "65 5", + "38 7", + "Ġsepar ation", + "ĠAdd itionally", + "ĠDream s", + "ĠCrit ical", + "Ġinterpret ation", + "ĠTreas ury", + "Y okohama", + "d ia", + "m ese", + "en k", + "at aka", + "ĠC IA", + "ĠB j", + "ĠD ort", + "ch u", + "ĠG ert", + "ia o", + "19 24", + "Ġ17 78", + "60 2", + "60 8", + "che t", + "64 2", + "38 3", + "38 6", + "ĠTer esa", + "ĠDo or", + "ĠCher n", + "ĠHy de", + "ĠVik ing", + "Ġsumm ary", + "Ġobserv ations", + "Ġelectron ics", + "Ġseg ments", + "ic he", + "ic am", + "Ġm ast", + "od o", + "ĠAl pine", + "ric ted", + "ĠPl ata", + "Ġtra il", + "60 5", + "che z", + "35 8", + "ĠRes ources", + "ĠRes istance", + "sc ale", + "Ġamong st", + "apt ers", + "ĠChief s", + "ĠAbb as", + "Ġrob ot", + "ĠKap oor", + "ĠLag os", + "Ġanat omy", + "Ġtadp oles", + "ĠCINE OS", + "b ath", + "as co", + "ĠB order", + "ĠL ands", + "ĠD ora", + "ur ated", + "ĠG uru", + "ĠW ords", + "Ġre vers", + "um en", + "ĠHe ather", + "ĠSt yle", + "und i", + "ten ance", + "Ġbu ff", + "other ap", + "ĠFl ood", + "Ġdirect ing", + "Ġworld s", + "vent us", + "Ġpar ody", + "eng o", + "67 8", + "35 1", + "Ġstat ements", + "39 2", + "Ġexp and", + "led on", + "ĠBu zz", + "Ġperform s", + "ĠVol cano", + "back s", + "Ġplat inum", + "Ġroll er", + "ĠBuck ingham", + "ĠJohannes burg", + "ĠCP U", + "Ġles bian", + "orde aux", + "Ġwarri or", + "Ġchromos omes", + "ĠSapp oro", + "3 23", + "K ar", + "p iece", + "w ang", + "Ġ }", + "he ed", + "Ġs ought", + "Ġs aints", + "ĠC otton", + "ig ious", + "ĠP erm", + "am ar", + "ĠL pez", + "et to", + "ĠN EM", + "ep s", + "ĠV ega", + "ew ard", + "Ġch ains", + "ĠSh ore", + "Ġad miral", + "ĠNov el", + "ĠIs les", + "Ġup set", + "ins ki", + "Ġgovern ing", + "Ġdr ag", + "50 4", + "Ġgu ests", + "Ġsur prise", + "34 2", + "37 1", + "37 9", + "64 9", + "36 1", + "ĠNe o", + "Ġinf rastructure", + "ĠMcC arthy", + "Ġpay ing", + "Ġweek end", + "Ġwor ried", + "Ġvalley s", + "ĠLuther an", + "Ġflav or", + "ĠXV I", + "Ġtheat rical", + "atj ara", + "ĠNipp on", + "ospher ic", + "E very", + "M er", + "b ey", + "e us", + "l ical", + "m oon", + "in z", + "ĠB undes", + "ĠH os", + "ĠN om", + "ĠN og", + "Ġre venue", + "os c", + "ath am", + "Ġ11 1", + "air y", + "Ġair lines", + "90 8", + "ĠComp lex", + "68 3", + "68 9", + "35 6", + "Ġsk ysc", + "57 5", + "Ġexpl ore", + "Ġcross es", + "ĠAndre i", + "Ġentertain er", + "ĠDom ingo", + "Ġult imately", + "Ġjur ist", + "Ġdecor ated", + "Ġmerc ury", + "Pak istan", + "c ourse", + "g ia", + "m akers", + "en as", + "Ġw avel", + "Ġs le", + "Ġc ord", + "ĠM ighty", + "ent ially", + "ĠF ed", + "st et", + "ain es", + "Ġr ats", + "ere zo", + "ĠY ah", + "ull a", + "50 3", + "60 9", + "str as", + "65 2", + "ĠAct iv", + "ĠLuc ia", + "Ġdig its", + "ĠGame Cube", + "sm all", + "ĠVa ucl", + "otten ham", + "prod uced", + "Ġgoalt ender", + "l iest", + "Ġt oler", + "Ġd iving", + "ch urch", + "ĠW imb", + "Ġg ast", + "Ġpl ague", + "ĠAl s", + "ĠSp art", + "ress ive", + "Ġpre v", + "Ġno ise", + "80 5", + "ĠMon ter", + "Ġcontin ents", + "ĠMy ers", + "Ġsw ing", + "ĠGro ver", + "kn ow", + "ĠPet r", + "Ġaud iences", + "Ġfav ou", + "ĠSah ara", + "ĠDod gers", + "Ġflo ors", + "Ġgam eplay", + "Ġautobi ography", + "Ġisol ated", + "ĠFactor y", + "ĠElectron ics", + "4 70", + "ro oms", + "Ġe clip", + "ill as", + "ĠV ick", + "ĠEd en", + "35 3", + "Ġmy sterious", + "ĠBon nie", + "ĠGreg orian", + "Ġairport s", + "ĠIb rahim", + "Ġvacc ine", + "ĠWend y", + "n ar", + "ir as", + "ĠN ong", + "ass au", + "iz oph", + "Ġ17 60", + "ener ation", + "ets k", + "Ġdec lined", + "80 3", + "80 7", + "ĠEx hibition", + "34 9", + "Ġann ually", + "viron ments", + "ĠEduc ational", + "Ġanal og", + "ĠValent ine", + "Ġdream s", + "ĠIw ata", + "P ig", + "er d", + "ĠC ull", + "il and", + "Ġal leg", + "ĠE h", + "uc a", + "ĠLe one", + "oy le", + "ĠPro te", + "ĠCommun ities", + "37 2", + "ĠTra cy", + "ĠSat ellite", + "ĠEnter prise", + "adesh iko", + "Ġdig it", + "Ġrad ius", + "Ġpot assium", + "Ġwa iting", + "ikov sky", + "ĠCrime a", + "ĠEmerg ency", + "ĠVaucl use", + "P P", + "Ġt uber", + "Ġb apt", + "Ġn erve", + "ĠG ale", + "ĠV ince", + "ĠV iolet", + "19 19", + "Ġcan on", + "90 9", + "Ġdiv ide", + "Ġchem ists", + "ĠEst her", + "ĠCher ry", + "Ġdomin ated", + "roph ys", + "mod ern", + "Ġspir al", + "cap ital", + "Ġsubsidi ary", + "am ation", + "ĠH ale", + "ĠE CW", + "ag in", + "Ġhe ter", + "ath i", + "ric ke", + "hen ko", + "rop od", + "ten berg", + "ĠCar ne", + "ann ah", + "90 4", + "Ġstat istical", + "39 1", + "39 6", + "Ġvar ieties", + "Ġacadem y", + "ĠProd ucer", + "Ġly ing", + "Ġneighbor ing", + "angel o", + "ĠMaced onian", + "Ġlingu ist", + "Ġod d", + "' d", + "3 70", + "H ow", + "d ev", + "he e", + "Ġt un", + "ro let", + "ĠT D", + "Ġd os", + "ol ini", + "il st", + "ĠI rene", + "ĠF aso", + "ĠW it", + "Ġre ception", + "ag na", + "ĠCom unes", + "Ġph arm", + "ĠMus k", + "tt i", + "38 2", + "39 8", + "unn els", + "ĠTrack s", + "Ġcomment ators", + "ĠRain bow", + "ĠTob ago", + "ĠCompet ition", + "A ss", + "L ittle", + "d ate", + "h og", + "l isted", + "Ġt ale", + "ĠP iper", + "Ġh itting", + "un ts", + "Ġpl ains", + "Ġab olition", + "air ed", + "Ġman ages", + "ĠEn c", + "37 3", + "64 1", + "Ġstat ues", + "45 8", + "39 7", + "ĠSal am", + "Ġhold er", + "Ġcal cium", + "Ġsen sitive", + "Ġcoll ision", + "ĠTol edo", + "erne ath", + "ĠPrincip al", + "B o", + "d aughter", + "w id", + "x i", + "Ġw elfare", + "Ġm ature", + "ĠH og", + "id y", + "ch in", + "ĠN adeshiko", + "ap arte", + "Ġ16 20", + "az aki", + "ĠGe ographic", + "Ġrele asing", + "ograph ies", + "ĠMan ufact", + ".. ..", + "57 7", + "Ġexpl o", + "ĠGovernor ate", + "ĠJul es", + "Ġpe er", + "Ġrac ism", + "Ġspread ing", + "ĠHom epage", + "medi ate", + "ĠRub y", + "ĠRah man", + "ĠClif ford", + "C or", + "G P", + "T om", + "h ak", + "w en", + "Ġd olph", + "ĠP seud", + "ĠL amp", + "ĠL ingu", + "ad ia", + "ĠO leg", + "ĠK oz", + "ĠSt ro", + "Ġv in", + "00 3", + "Ġra id", + "ille m", + "90 5", + "68 5", + "69 5", + "47 3", + "ĠSal em", + "Ġtrib al", + "Ġtro phy", + "Ġcirc ulation", + "ĠOrgan isation", + "whe el", + "ĠDres den", + "s v", + "s an", + "ĠT ap", + "ĠM illion", + "ĠB ased", + "ĠG im", + "ĠG aga", + "ĠK av", + "19 28", + "ust ion", + "ĠSh an", + "Ġcount s", + "ank a", + "80 2", + "37 6", + "67 1", + "app a", + "ĠSer ver", + "of en", + "unt a", + "Ġsent ences", + "Ġpost ed", + "Ġbr ands", + "Ġche ap", + "Ġfall en", + "Ġlaws uit", + "ĠWeb ster", + "Ġlay out", + "Ġfolk lore", + "keep er", + "ser ies", + "ĠNou velle", + "Ġannounc ement", + "Ġnutri ents", + "ĠInns bruck", + "Ġb orrow", + "ĠT ou", + "ĠC ena", + "ĠI k", + "ĠF eld", + "ĠD ock", + "ay ev", + "art et", + "Ġbe i", + "if est", + "ĠV ampire", + "Ġ9 50", + "ĠSh uttle", + "ĠMay flower", + "Ġdes ire", + "Ġqu ar", + "ĠGu inness", + "38 9", + "reg ate", + "ĠBi har", + "ĠCub s", + "ĠLaur ent", + "ĠBey onc", + "ĠSchm idt", + "ĠGuj arat", + "Ġbac helor", + "Ġels ewhere", + "icam eral", + "d ays", + "g s", + "p ox", + "r ays", + "Ġt ent", + "Ġt ab", + "on ica", + "re z", + "ĠA val", + "ĠT akes", + "Ġm arsh", + "ig ator", + "ĠR ust", + "ĠH C", + "ot yp", + "00 4", + "ĠV and", + "up ta", + "ĠSw ord", + "ys h", + "erm ark", + "Ġ24 0", + "80 4", + "70 2", + "70 7", + "65 6", + "67 6", + "38 8", + "ĠDev ils", + "ĠMag gie", + "Ġinvol vement", + "apt or", + "ĠCongress ional", + "ĠAnton y", + "Ġdig est", + "Ġcur ve", + "Ġinsp iration", + "Ġannoun cer", + "ĠBasil ica", + "UC N", + "Ġfurn iture", + "Ġlux ury", + "S ing", + "b ands", + "as an", + "ig l", + "Ġh iding", + "ĠF ah", + "ĠD ut", + "ĠV on", + "ell ers", + "ĠAugust a", + "urn ames", + "Ġair ing", + "90 7", + "37 8", + "67 9", + "48 9", + "ĠNe ust", + "eck l", + "Ġdestroy ing", + "Ġblock ed", + "Ġbeat en", + "Ġcorrect ly", + "Ġtri o", + "Ġfat al", + "Ġmonkey s", + "izoph ren", + "l n", + "l ink", + "Ġt ies", + "al m", + "ĠS uf", + "ce ans", + "Ġup graded", + "Ġcr u", + "oint ed", + "65 9", + "Ġran ging", + "ĠMat ches", + "Ġtemper ate", + "Ġbank er", + "ĠWebsit es", + "ĠFull er", + "Ġgoalkeep ers", + "Ġreprod uctive", + "Pal atinate", + "Ġhorm ones", + "ĠDw ight", + "ĠAberde en", + "b rown", + "e u", + "h igh", + "p ose", + "t land", + "ĠH aj", + "ĠF y", + "ĠG ob", + "ific ate", + "90 3", + "tt y", + "65 8", + "67 2", + "69 3", + "48 1", + "47 4", + "Ġrece iver", + "ĠBur kina", + "ĠCount ries", + "Ġcirc ular", + "leg iate", + "ĠHaw k", + "min ute", + "Ġdiscuss ed", + "ĠTri assic", + "ĠTrib une", + "ĠMol ly", + "Ġeleph ants", + "Reg ional", + "Ġmemb rane", + "ĠBagh dad", + "t ail", + "Ġc avalry", + "ĠS uccess", + "ĠC orp", + "am on", + "ĠB ee", + "ĠB ordeaux", + "ĠR ox", + "ĠH enn", + "ĠL ance", + "et ary", + "Ġn am", + "ak ura", + "19 10", + "ĠUn known", + "ĠMar ino", + "ĠAr min", + "Ġkn ee", + "ild e", + "Ġ16 50", + "ĠZ immer", + "Ġcr ater", + "68 8", + "69 8", + "48 6", + "Ġequ ality", + "Ġbirth place", + "Ġdead ly", + "het ic", + "Ġenc ounter", + "Ġphr ases", + "Ġpurch ase", + "ĠKurd istan", + "Ġcorpor ate", + "M ad", + "g ment", + "j ud", + "w on", + "ĠS ib", + "re uth", + "ĠM urd", + "ĠH in", + "ĠL ob", + "ĠThe rm", + "ĠN aw", + "ĠV itt", + "19 17", + "ear ing", + "qu et", + "ĠLe vel", + "Ġac ute", + "uss y", + "99 6", + "64 8", + "68 4", + "48 3", + "ĠOut side", + "ĠFe el", + "Ġprem iere", + "ĠKl aus", + "Ġaltern ate", + "Ġsail ors", + "ĠThurs day", + "2 20", + "or io", + "at al", + "Ġc ater", + "ro ft", + "ĠT arn", + "ĠF rib", + "ĠJ ub", + "ĠK ant", + "est ag", + "Ġte lev", + "ĠCom mercial", + "ĠAm adeus", + "ĠAir craft", + "ĠSy nd", + "45 3", + "ĠProv idence", + "Ġaff ord", + "Ġadminist ered", + "ĠSa ar", + "ĠJenn y", + "Ġcontain er", + "Ġmill ennium", + "ĠRecord ings", + "ĠCand id", + "ĠChev rolet", + "Aqu itaine", + "O ut", + "n ick", + "at ops", + "ĠS I", + "ĠS ons", + "Ġp ill", + "ĠT et", + "ĠC ave", + "ĠM ller", + "Ġto wers", + "ĠB ri", + "ĠD unn", + "ĠN gu", + "ce ae", + "ĠK v", + "ĠK iy", + "Ġbe ef", + "ĠCh icken", + "cl iffe", + "ĠEl ton", + "ĠHow e", + "elf th", + "70 6", + "68 1", + "68 2", + "68 6", + "45 6", + "69 6", + "Ġsuc ceeds", + "rol ogy", + "47 6", + "Ġpast or", + "Ġparticip ating", + "ĠWin chester", + "ĠAnat omy", + "Ġporn ographic", + "ĠDais y", + "ĠCly de", + "ĠMiddles ex", + "4 30", + "6 50", + "s u", + "Ġd ense", + "ĠF res", + "ĠD epend", + "ĠN ing", + "ĠU rawa", + "og ram", + "Ġsp ider", + "Ġab und", + "sh an", + "ene ath", + "45 7", + "Ġint ensity", + "47 2", + "47 7", + "Ġ180 2", + "'' '", + "Ġimmedi ate", + "Ġchap el", + "ĠEis enh", + "Ġshel ter", + "Ġorient ation", + "k ping", + "u ana", + "Ġp ets", + "Ġ( '", + "ĠP oints", + "ĠF en", + "ĠW ong", + "Ġg entle", + "ey ed", + "Ġcomp anion", + "ĠAr cher", + "ĠPal ae", + "ĠOr b", + "45 2", + "69 1", + "Ġdesign ation", + "ĠHal ifax", + "St ars", + "Ġprop he", + "ĠGood ricke", + "Ġhom epage", + "Ġreb el", + "Ġoffer ing", + "Ġcarbon ate", + "ĠSerg io", + "G ood", + "W ar", + "ar ina", + "ĠL ucky", + "ĠL ester", + "el ic", + "ot he", + "Ġon wards", + "Ġe cc", + "ra pped", + "00 2", + "Ġr is", + "ern a", + "ĠCom b", + "ĠAm rica", + "ĠX avier", + "64 6", + "Ġ' '", + "ĠSch we", + "Ġevery where", + "Ġref ugees", + "66 1", + "Ġcharacter istic", + "ĠThom son", + "ĠApp lied", + "ĠLand mark", + "Ġcycl ing", + "ĠTa o", + "Ġpred icted", + "ĠOrig ins", + "ĠAz ad", + "ĠFuk ushima", + "Ġspons ored", + "Ġdecre ased", + "bird s", + "Ġdelay ed", + "Ġfart her", + "C al", + "M a", + "S I", + "v ana", + "w ords", + "ĠB oot", + "ĠD ate", + "ĠIn ner", + "ĠY uan", + "ĠSp ike", + "ĠLe igh", + "ib o", + "Ġest imate", + "ier a", + "ĠEm ilia", + "Ġsl ide", + "Ġacc ord", + "Ġcomm emor", + "ĠAnt io", + "ĠMel issa", + "ĠCor b", + "ĠCongress man", + "Ġpres erve", + "ĠDet ective", + "ĠRaj a", + "ĠTak ah", + "Ġsleep ing", + "ĠNort heast", + "Ġarchae ological", + "Ital ian", + "Ġhemorrh age", + "ĠAgre ement", + "3 15", + "Ġo g", + "ig rated", + "ĠP rav", + "Ġto ile", + "ĠR ag", + "ĠH ollow", + "ad an", + "ĠG N", + "ĠW ade", + "Ġst uck", + "oc ated", + "ook ie", + "ev en", + "Ġen vironments", + "90 2", + "90 6", + "berg h", + "ĠHol iday", + "57 4", + "ĠAg nes", + "ĠStev ie", + "Ġinf ant", + "Ġhol idays", + "Ġfir ing", + "ĠMagn us", + "Ġcontinu ing", + "Hung ary", + "ĠFerg uson", + "Ġtermin ology", + "ĠRhy thm", + "f ran", + "en bach", + "ro ads", + "Ġm aid", + "ĠC over", + "ĠM orm", + "ĠP ill", + "ĠH r", + "ĠL ief", + "Ġg ifts", + "Ġe agle", + "eb oard", + "so lete", + "ĠMar ines", + "Ġwar n", + "by ter", + "45 1", + "48 4", + "ĠLab r", + "ĠAnn ual", + "ĠForm ation", + "Ġsecret ly", + "Ġpers pective", + "book s", + "ĠStra uss", + "Ġteen agers", + "Ġsail ed", + "ĠPin oc", + "unc redited", + "rec ce", + "ĠAntar ctic", + "Austral ian", + "Ġsynthes is", + "ĠRapp ers", + "Ġbreat he", + "ĠJacqu eline", + "Ġheadquarter ed", + "3 13", + "K A", + "f recce", + "Ġt oll", + "Ġt sun", + "Ġc ad", + "Ġf u", + "Ġ2 20", + "ĠH aving", + "ĠN ab", + "ĠG og", + "Ġat e", + "rit ic", + "ĠY o", + "Ġac cent", + "ĠCan ucks", + "Ġfl ute", + "47 9", + "Ġtrans m", + "44 6", + "ĠWe imar", + "Ġarchitect ural", + "year s", + "Ġcollect ing", + "ĠAra bs", + "Ġconstant ly", + "Ġsitu ated", + "ĠKyrgyz stan", + "Ġelectromagn etic", + "Ġpriz es", + "ĠEisenh ower", + "3 14", + "B rien", + "G en", + "P ants", + "R om", + "w ara", + "ar oo", + "Ġo ceans", + "ĠS ep", + "ĠS aga", + "ĠP ah", + "ĠB ates", + "ĠB ots", + "ĠF ow", + "ĠG ond", + "ĠG ilm", + "if ter", + "ik es", + "Ġab oard", + "Ġun official", + "ex cept", + "ĠCar m", + "ĠOr ton", + "ĠFl owers", + "Ġla ureate", + "ĠMad ame", + "Ġperform ers", + "ĠBur mese", + "ĠSom ething", + "Ġbar rel", + "ih u", + "war eness", + "ĠAbd ullah", + "Ġagre es", + "ĠBatt les", + "Ġcircum stances", + "ĠChes hire", + "Ġsupern atural", + "Pig ott", + "ĠFrib ourg", + "Ġ icon", + "it iba", + "Ġc av", + "ĠC ork", + "ĠB res", + "ĠF ry", + "ĠN ils", + "ĠG ould", + "est rian", + "ill ac", + "00 5", + "so on", + "ĠAl to", + "Ġkn ife", + "Ġgroup ed", + "ĠEd itor", + "Ġmon ks", + "ĠCup s", + "ane ous", + "Ġcond em", + "ĠSam sung", + "Ġhand ball", + "Ġvict ories", + "Ġmiss ed", + "ĠBos nian", + "Ġmig ration", + "Ġdram atic", + "ĠSylv ia", + "ĠIsab el", + "Ġairpl anes", + "ĠFro st", + "ĠBund estag", + "ĠAus chwitz", + "ĠEsper anto", + "ĠWimb ledon", + "y st", + "Ġt ram", + "an za", + "Ġm ol", + "ĠH T", + "ĠH ast", + "ĠO u", + "ist o", + "ov na", + "Ġe cosystem", + "ĠK oll", + "ĠV og", + "19 14", + "oun ce", + "Ġcon ven", + "Ġsh ipping", + "rib e", + "99 1", + "48 7", + "66 3", + "ĠDon na", + "ĠBy r", + "Ġcoach ing", + "ĠInstit ution", + "Ġboy friend", + "ĠGer ard", + "ingu ished", + "ĠRap ids", + "Ġsculpt ures", + "ĠDog s", + "Ġdon ated", + "Ġwild life", + "ĠCre ation", + "Ġconduct ing", + "Ġhorn s", + "ĠWarri or", + "ĠBright on", + "ĠCris is", + "Ġpropos al", + "Ġevac u", + "Ġfab ric", + "T unes", + "ĠS idd", + "ĠA al", + "le my", + "ĠP apers", + "st and", + "ĠO ra", + "Ġg ap", + "op a", + "ĠK of", + "Ġr ig", + "end ium", + "Ġ7 50", + "ev e", + "ĠPro f", + "ĠItal ians", + "99 3", + "69 2", + "66 6", + "ĠWe ber", + "Ġperiod ic", + "ĠIsland ers", + "ĠHam mond", + "Ġconf usion", + "Ġmurder er", + "Ġprop ag", + "Ġfoot age", + "Ġemerg ed", + "Ġappl ies", + "ĠAP O", + "ĠiP od", + "Ġlymph oma", + "ĠMicha els", + "5 10", + "6 60", + "ĠS iege", + "Ġp od", + "ĠM urders", + "ĠF ors", + "ĠG ia", + "ĠE vel", + "ĠSt all", + "ac on", + "ard e", + "Ġsp okes", + "Ġ9 70", + "Ġ17 85", + "Ġag gressive", + "Ġbl adder", + "99 4", + "ush u", + "Ġdev oted", + "ĠArmen ians", + "ĠTre asure", + "Ġshoot s", + "Ġsignifican ce", + "ĠVic ente", + "Ġtiss ues", + "ĠArrondiss ements", + "ĠCelebr ity", + "Ġmasc ot", + "R O", + "Ġo ath", + "Ġc aves", + "ĠM ales", + "ĠO man", + "Ġg ospel", + "ĠK ens", + "Ġst eep", + "ra its", + "ĠY v", + "aus s", + "ĠAn ita", + "ax ter", + "Ġmar ries", + "ĠWe ap", + "ĠRon nie", + "Ġroy alty", + "Ġmeasure ments", + "Ġserious ly", + "Ġveget ation", + "ĠVa ugh", + "Ġborough s", + "ĠHav ana", + "Ġcass ette", + "ĠKarn ataka", + "ĠGael ic", + "prov ince", + "Ġpredecess or", + "6 40", + "h ini", + "p ath", + "v iol", + "w at", + "Ġt a", + "it as", + "re ens", + "Ġm isc", + "ĠC A", + "ĠC te", + "ĠP eoples", + "ĠB ian", + "ĠH anna", + "ĠF ork", + "ĠD ssel", + "ht t", + "ul ates", + "00 7", + "eb urg", + "Ġar sen", + "ne g", + "ĠSh annon", + "48 2", + "48 8", + "47 8", + "Ġprot ocol", + "44 9", + "ĠMet all", + "ogn itive", + "ĠJul io", + "band ed", + "ĠInt roduction", + "Ġrev ol", + "ĠBon aparte", + "ĠCard iff", + "Ġpun ished", + "onom ic", + "Bl ue", + "ĠBart on", + "ĠSS R", + "commun ications", + "Ġessay ist", + "Ġmerch ant", + "Ġbotan ist", + "ĠPanther s", + "Ġphenomen on", + "G O", + "X X", + "b ys", + "Ġp ier", + "ĠC andy", + "ad ic", + "st roke", + "ag edy", + "Ġbe ats", + "ĠCh rys", + "Ġover d", + "ĠAd ri", + "ĠEm inem", + "99 5", + "Ġprot ons", + "ĠAnt ig", + "Ġmag ical", + "ĠUr s", + "Ġhop ed", + "rac use", + "Ġobserv ation", + "ĠFerr ari", + "ĠTrom s", + "Ġvin yl", + "d imensional", + "f b", + "l ake", + "m ember", + "n ikov", + "Ġt in", + "or ic", + "ĠS uicides", + "as hes", + "ĠC ats", + "il an", + "ĠP ey", + "Ġh ind", + "ĠB ram", + "ch y", + "ĠN ara", + "ĠN ico", + "im ation", + "og ether", + "ach im", + "ĠCom ic", + "Ġme al", + "Ġform ats", + "ĠGu am", + "ĠHer r", + "78 8", + "ĠTra vis", + "ĠWe in", + "ĠMat th", + "ĠTre es", + "Ġlo ad", + "Ġburn s", + "Ġsail or", + "ĠPatri ots", + "Ġinher it", + "ĠCyr illic", + "Ġsubsequ ent", + "Ġsubmar ine", + "U T", + "h ara", + "j ar", + "n ake", + "s urname", + "Ġb isexual", + "Ġc it", + "Ġc rop", + "Ġp epper", + "Ġh ub", + "ĠJ ol", + "ĠU ly", + "ich ael", + "Ġr h", + "Ġr ally", + "rop olis", + "ons cious", + "ĠZ elda", + "Ġcar b", + "Ġsub way", + "Ġam endment", + "99 7", + "Ġposs ibility", + "azz o", + "ynast ies", + "ĠCoast al", + "ĠHamp ton", + "Ġarg uments", + "ĠLaur ence", + "Ġtarg ets", + "ĠRena ult", + "opter a", + "ĠLion el", + "ĠJoy ce", + "Ġcommission ed", + "Ġdecre ase", + "ĠTitan ic", + "ĠCowboy s", + "ĠHert ford", + "ĠGior gio", + "Ġa unt", + "Ġw ick", + "Ġs am", + "Ġc ure", + "ĠT uc", + "Ġd ressed", + "am orph", + "ĠH ust", + "ch ner", + "Ġe col", + "ort ed", + "Ġr ider", + "sit e", + "ĠAn ime", + "Ġ17 07", + "Ġbut ton", + "Ġmus k", + "Ġme g", + "Ġrec ru", + "ĠEl m", + "ĠGr ampus", + "ĠHar bour", + "45 4", + "45 9", + "69 4", + "ĠTom orrow", + "ĠVict ory", + "ĠVol ks", + "Ġsepar ately", + "Ġsqu ares", + "ĠInter active", + "Ġer as", + "ĠEvery thing", + "Ġfle e", + "ĠTreat ment", + "bro ther", + "ĠEsc ape", + "Ġrot ation", + "Ġgather ed", + "Ġlocomot ive", + "ĠHus sein", + "n io", + "ĠC M", + "ĠC reed", + "ĠP upp", + "ĠR ising", + "ĠG aza", + "00 8", + "ew ell", + "og i", + "Ġch ron", + "ĠMar qu", + "qu al", + "form ing", + "ĠEm m", + "ĠEn rique", + "57 3", + "66 2", + "ĠChe rok", + "Ġpost hum", + "ĠBet ter", + "ĠRaj as", + "Ġneigh b", + "ĠFa ust", + "ĠNag ar", + "Ġdro ught", + "ĠHu bert", + "ĠJen kins", + "ĠCherok ee", + "4 60", + "Ġb ark", + "ĠS ept", + "Ġf ed", + "ĠA B", + "ĠB rett", + "Ġl ord", + "ĠF unk", + "ad eth", + "ĠN iz", + "ĠN ih", + "ĠG uns", + "ian ism", + "ut i", + "00 6", + "ast ed", + "qu ito", + "ey e", + "Ġtra p", + "Ġmon sters", + "Ġsk iers", + "eal ous", + "44 4", + "ĠTra ins", + "Ġresp ected", + "Ġdel ivery", + "ĠBang kok", + "ĠUnivers ities", + "ĠSav age", + "ĠWeb b", + "Ġdeal ing", + "ĠExt ended", + "Ġsail ing", + "imens ions", + "ĠChron icles", + "ĠArchae ological", + "ĠDaw son", + "Tok yo", + "ĠNewsp apers", + "1 19", + "h ma", + "z illa", + "Ġt ap", + "Ġt ales", + "ar est", + "ed ge", + "Ġp or", + "ĠM itch", + "ion ale", + "ol ulu", + "ĠP ant", + "ĠF lynn", + "ĠW ave", + "ĠW ake", + "th ou", + "ht on", + "ul ance", + "ĠV ert", + "ord inary", + "ĠTh irteen", + "Ġj ersey", + "ĠSh iv", + "ĠFor rest", + "ĠPl us", + "Ġind icated", + "eed ing", + "ĠBel t", + "Ġhigh ways", + "Ġdevelop ers", + "Ġleg ends", + "Ġpass ion", + "Ġav i", + "be at", + "Ġsett le", + "Ġknow ing", + "ĠBoy d", + "ĠFort une", + "Ġsat ir", + "ĠWik i", + "edd y", + "ĠRick y", + "ĠOw ens", + "German y", + "Ġcalcul ated", + "Ġvac uum", + "ĠCrom well", + "ĠDssel dorf", + "G r", + "u ya", + "an iel", + "Ġc ipher", + "ĠS aid", + "ĠD ram", + "st ory", + "st able", + "ĠJ ob", + "ow itz", + "up e", + "ĠPro b", + "uk ary", + "ĠGl ory", + "Ġexp osure", + "hi ro", + "Ch inese", + "Ġmot iv", + "Ġimm igration", + "Ġmission ary", + "arl berg", + "Ġsurr endered", + "ĠBrem en", + "B ay", + "H er", + "N ord", + "b ank", + "t itled", + "in om", + "ar ck", + "ing a", + "ĠR ih", + "ĠD und", + "ĠK ram", + "Ġan xiety", + "ĠV ad", + "ĠZ am", + "99 8", + "Ġint ent", + "58 9", + "Ġpubl ishes", + "ump s", + "ĠPet rov", + "ĠHon olulu", + "Ġsport ing", + "Ar t", + "ĠCas ey", + "Ġwalk ed", + "ĠOm aha", + "Ġsulf ate", + "Ġmoment um", + "ĠAna heim", + "Ġpupp et", + "Ġhorm one", + "ĠPrepar ation", + "ĠMozamb ique", + ") (", + "5 15", + "5 70", + "7 10", + "N L", + "ĠT ik", + "Ġ2 30", + "Ġd iversity", + "ĠR az", + "ĠL ub", + "ĠL ai", + "ĠN ominated", + "ĠG M", + "ĠW ide", + "ĠK ick", + "Ġan ts", + "Ġv ibr", + "ĠUn its", + "Ġ7 07", + "Ġfilm ing", + "Ġlight ning", + "Ġprom ise", + "iy ah", + "ĠFern and", + "ĠLibert arian", + "rup ted", + "Ġreserv es", + "ĠPack ers", + "ĠLear ning", + "Ġvul ner", + "4 80", + "O h", + "a an", + "Ġt ough", + "ar ma", + "ĠT ian", + "ĠM im", + "ad ier", + "ĠN ue", + "ĠO sh", + "00 9", + "Ġ9 40", + "Ġ17 40", + "Ġ17 84", + "ĠSh ot", + "Ġph on", + "ger ald", + "ĠSy racuse", + "Ġcharacter ized", + "Ġaut o", + "ĠCatholic ism", + "Ġsports caster", + "Ġprim itive", + "Ġliter acy", + "ĠLuc erne", + "Ġder iv", + "ĠFil ipp", + "ĠSerge ant", + "Ġmist ake", + "Con nor", + "Ġmir ror", + "Ġsupercent enarian", + "ĠLief ering", + "c ue", + "c ode", + "j av", + "s low", + "er land", + "ic hel", + "Ġh az", + "om as", + "ia k", + "Ġsh orts", + "ass es", + "Ġcomp act", + "Ġ9 10", + "ĠCan n", + "ĠCar th", + "Ġnew er", + "Ġed iting", + "47 1", + "Ġvar iab", + "Ġindepend ently", + "Ġz inc", + "ĠFe ature", + "ĠBon n", + "ĠPlan ets", + "Ġnar rator", + "Ġmanufact ured", + "Ġmanufact urers", + "ĠVas ily", + "Ġexhib itions", + "Ġaster oids", + "ĠRum ble", + "Ġcasual ties", + "ĠStephan ie", + "4 10", + "H z", + "h alt", + "t ailed", + "y ar", + "Ġw olf", + "Ġs ep", + "Ġb rew", + "Ġf ee", + "ĠP ius", + "ĠE z", + "ĠE ure", + "and an", + "eb u", + "ĠCh rom", + "Ġpro hib", + "ĠTh reat", + "ĠAl ain", + "ik er", + "Ġfam iliar", + "Ġvers es", + "44 2", + "44 3", + "Ġgen ome", + "ĠAnt lers", + "ĠCont rovers", + "Ġbox es", + "ĠSax on", + "Ġmonarch s", + "Ġens ure", + "Ġastronaut s", + "Portug uese", + "5 13", + "7 50", + "f ur", + "l oy", + "am ous", + "ĠH ilton", + "ct uary", + "ĠF arn", + "ĠG ad", + "ĠK us", + "Ġpro ceed", + "Ġch orus", + "ah r", + "Ġac res", + "anc ock", + "Ġrel ax", + "Ġam mon", + "oph one", + "57 1", + "54 6", + "Ġarch bishop", + "ĠEr in", + "ĠAirport s", + "Ġmiss ile", + "ĠBol lywood", + "Ġemploy ee", + "Ġjun ction", + "Ġdisab led", + "Ġinstall ation", + "ĠTerrit ories", + "feat uring", + "3 22", + "8 10", + "E nd", + "Ġa ware", + "or um", + "ĠB enson", + "ĠR uther", + "ĠL ily", + "ir m", + "ĠJ ude", + "un ge", + "ĠK ak", + "Ġst ating", + "os ely", + "ac in", + "ort ex", + "Ġsp ac", + "ĠSh am", + "ĠFl u", + "ĠPart ners", + "ung a", + "Ġadd s", + "oph il", + "58 2", + "ĠCount ess", + "ĠInter continental", + "Ġclos ing", + "ĠPu y", + "Ġfact o", + "ĠPres byter", + "zy me", + "ĠKat ie", + "Ġvert ebrates", + "Ġdoll ar", + "ĠSoph ia", + "Ġsurf aces", + "rehens ive", + "izophren ia", + "3 90", + "5 12", + "5 90", + "j or", + "ĠC able", + "ĠI st", + "ĠR C", + "ĠD F", + "Ġn oun", + "19 11", + "qu iry", + "und ers", + "ĠNew port", + "ĠOr t", + "Ġpre historic", + "Ġmar gin", + "Ġcons umer", + "iew icz", + "che on", + "Ġinv ade", + "99 2", + "58 8", + "oe k", + "44 1", + "Ġbeh alf", + "Ġcor al", + "ĠGal ile", + "Ġsexual ity", + "Ġfund ing", + "ĠSquare Pants", + "ĠHem ings", + "ĠBox ing", + "Ġthrow ing", + "ĠNeg ro", + "Ġdict ator", + "Ġmilit ia", + "ishn u", + "Ġsovereign ty", + "ĠVor arlberg", + "Ġturt le", + "Ġcareful ly", + "J ust", + "on te", + "es p", + "Ġc orporation", + "ĠT ut", + "Ġd ried", + "Ġh ate", + "ĠB ing", + "art en", + "19 12", + "ĠY us", + "ĠTh ink", + "Ġ17 68", + "Ġ17 83", + "pr ises", + "ĠCl iff", + "57 8", + "Ġext ent", + "Ġext ends", + "ĠCont in", + "ĠCamp us", + "Ġpres ents", + "ĠTim eline", + "ĠCam den", + "Ġpay ment", + "ĠMid night", + "ĠNag asaki", + "Ġfort ress", + "ĠWor cester", + "ĠFitz gerald", + "Ġcarn ivore", + "Ġmanusc ript", + "Ġwithdraw al", + "ĠNatal ie", + "ĠStur m", + "ĠProble ms", + ". [", + "b est", + "z k", + "or is", + "ĠR T", + "ĠR ide", + "ĠH ess", + "ĠN umbers", + "Ġhe x", + "Ġcom ments", + "ore an", + "ĠAl ien", + "ik on", + "mun ition", + "ĠAs c", + "ĠPr ide", + "ĠPart icip", + "Ġsub prefecture", + "Ġmother s", + "ĠAct s", + "cul osis", + "Ġren al", + "Ġhero es", + "ĠMeg adeth", + "ĠProtest ants", + "Ġplate au", + "ĠMaid en", + "Ġrestrict ions", + "S V", + "S om", + "en ov", + "Ġin k", + "Ġc ens", + "ĠC ron", + "il ion", + "ĠP to", + "am el", + "ĠH itch", + "Ġl ens", + "ĠD ante", + "ht er", + "op ters", + "av ior", + "ard ed", + "Ġ17 58", + "ould er", + "son zo", + "Ġra bb", + "Ġrec overy", + "ĠDe al", + "ĠCal der", + "air a", + "ĠOr lans", + "Ġnatural ist", + "Ġachie vement", + "Ġbuy ing", + "ĠOcc up", + "Ġhydro xide", + "ĠHous ing", + "Ġimprison ment", + "Ġadvoc ate", + "eon ato", + "Ġvag ina", + "3 12", + "R L", + "b oth", + "h uman", + "s ous", + "Ġa ims", + "ĠC any", + "ĠB ant", + "ĠD over", + "ĠG le", + "ĠW en", + "Ġg amb", + "ĠK uz", + "Ġst icks", + "ter a", + "Ġ7 27", + "Ġout standing", + "ĠPar an", + "ĠTe j", + "ĠSe al", + "Ġrem oving", + "Ġlast ing", + "58 7", + "95 9", + "ĠAcadem ic", + "ĠSim mons", + "ĠBrown s", + "ĠSub way", + "ĠCur ry", + "Ġtemp or", + "Ġterror ism", + "Ġjew el", + "Ġhem isphere", + "ĠFellows hip", + "ĠAndor ra", + "8 30", + "B enz", + "m ay", + "al p", + "ĠS ens", + "ĠS anga", + "ĠI UCN", + "ĠB ord", + "ĠB unny", + "ĠH ons", + "ĠL ing", + "Ġbe am", + "Ġor phan", + "20 1", + "Ġest imates", + "ĠCal iph", + "Ġass emb", + "Ġleg acy", + "57 9", + "97 8", + "96 2", + "Ġposs ession", + "Ġpost s", + "Ġreb els", + "Ġlands l", + "ĠBrid g", + "Ġharm ful", + "Ġaqu atic", + "Ġtub es", + "ĠInsp ector", + "Ġrect ang", + "ĠStras bourg", + "E redivisie", + "G reen", + "c ie", + "l ant", + "p ubl", + "he ll", + "al ong", + "ĠThe me", + "ir n", + "ĠW yn", + "ag os", + "ass a", + "cl er", + "ĠCom ing", + "Ġ15 90", + "Ġtr adem", + "ĠEl s", + "Ġdec oration", + "Ġint ention", + "Ġdef ine", + "ĠDr um", + "Ġcy an", + "ĠHon our", + "ĠAnn abeth", + "ĠMat ilda", + "Ġi Tunes", + "Ġpromot ing", + "ophy ll", + "ĠBol iv", + "rap ers", + "Ġattempt ing", + "ĠMand arin", + "thes is", + "Ġven ues", + "Se ine", + "Ġkit chen", + "ĠDort mund", + "5 14", + "D utch", + "b irth", + "j atjara", + "on ey", + "Ġh ab", + "ĠH ash", + "st ick", + "Ġfor th", + "ec ution", + "ul ating", + "ĠSh ab", + "Ġchar ter", + "ĠAss am", + "Ġinc orrect", + "ĠDes c", + "ĠGeorg etown", + "Ġav o", + "ĠArch d", + "Ġprim aries", + "Ġinh ab", + "ĠJon as", + "Ġdisp utes", + "Ġworship ped", + "Ġphilanthrop ists", + "Ġfemin ism", + "Ġvess el", + "ĠCitiz ens", + "ĠBabyl on", + "Ġvoy age", + "ĠKonstant in", + "6 30", + "G eor", + "m ap", + "Ġl ays", + "Ġth y", + "Ġg ig", + "Ġg ates", + "ra j", + "19 15", + "ĠZ ak", + "Ġund erneath", + "ze k", + "its u", + "ĠBe an", + "omet ime", + "98 7", + "97 4", + "ĠDo om", + "ĠLin z", + "ĠParliament ary", + "ĠSil ent", + "Ġminist ry", + "Ġarg ue", + "ĠShar p", + "atsu ura", + "ĠNort e", + "ĠLamb org", + "Ġnoble man", + "Ġunderg r", + "wid th", + "eckl enburg", + "6 70", + "P G", + "c over", + "e eches", + "y ch", + "or ient", + "ĠT art", + "ĠM ega", + "Ġd uck", + "Ġh unter", + "ĠH utch", + "Ġl ip", + "ĠD ug", + "ĠD ial", + "ĠD uff", + "ĠG ore", + "ĠJ oo", + "ĠV eh", + "Ġor e", + "Ġsp ell", + "Ġsh irt", + "Ġ17 86", + "inn ers", + "az y", + "ĠCon way", + "ĠGr aduate", + "Ġair s", + "af i", + "Ġ0 3", + "Ġsom ewhere", + "Ġmot to", + "ĠFred dy", + "Ġcell o", + "Ġcolon ists", + "Ġsignificant ly", + "ĠFle ming", + "ĠDest iny", + "Ġchalleng ed", + "Ġautobi ographers", + "ĠCed ar", + "ĠSunn i", + "ĠCarne gie", + "l ich", + "in ally", + "is an", + "it on", + "ĠS odium", + "Ġd rops", + "ĠL inn", + "ch id", + "Ġg est", + "im oto", + "ain able", + "ich o", + "ost al", + "Ġmain tenance", + "Ġprov en", + "ject ive", + "Ġdevelop s", + "98 1", + "ĠReg ent", + "ĠSoviet s", + "55 6", + "Ġdesc ended", + "Ġter restrial", + "Ġrefer ring", + "ĠCamp eonato", + "ĠRos es", + "ĠIv ory", + "ĠObserv ances", + "ĠMerc ia", + "Ġresc ued", + "Ġrebu ild", + "7 40", + "8 40", + "l ies", + "s ize", + "s ils", + "v ation", + "z ymes", + "an u", + "ĠT ort", + "ĠC rd", + "ĠM ons", + "ĠP oc", + "ĠD art", + "ĠD ex", + "Ġn ests", + "Ġst uff", + "ĠU ll", + "od us", + "ĠV alais", + "Ġcon cluded", + "ĠY es", + "ĠMar i", + "ern s", + "ind ers", + "ĠZ el", + "ĠBr at", + "Ġear ning", + "Ġmet ro", + "Ġsl ower", + "Ġvar ied", + "Ġvar iants", + "reg ular", + "Ġstruct ural", + "ĠRob b", + "Ġtour ing", + "Ġbar rier", + "ĠLam bert", + "Ġdistinct ive", + "ĠPubl ishers", + "Ġintegr ated", + "ĠNig el", + "ĠOliv ier", + "6 80", + "G ermain", + "c us", + "n itz", + "r age", + "er re", + "ĠS ale", + "Ġf itness", + "Ġm im", + "ĠC yp", + "ĠD ix", + "ĠD ixon", + "Ġre cept", + "ĠTh irty", + "Ġsh ots", + "ĠSc o", + "ĠAss yr", + "ĠMes opotam", + "Ġtrans mitted", + "58 5", + "ĠTra ff", + "Ġspecial ist", + "ĠBo om", + "Ġmass es", + "ashi wa", + "ĠFer ry", + "ĠHistor ians", + "ĠLind say", + "Ġabs ence", + "Ġsusp ect", + "Ġcomment ary", + "ĠGuy ana", + "ĠPa olo", + "Ġperman ently", + "Ġbatter ies", + "ĠCzechoslov ak", + "ĠPiet ro", + "ĠArtem is", + "- )", + "z in", + "it uary", + "ĠM ood", + "ĠM ile", + "ig hed", + "ĠH ancock", + "ct al", + "Ġn ud", + "ĠG is", + "ĠJ ab", + "ec he", + "ĠCh ir", + "ĠCh ow", + "ĠTh ur", + "ik ing", + "Ġ9 30", + "Ġdep icted", + "Ġbl amed", + "Ġsup reme", + "Ġass ets", + "97 1", + "ĠSl ayer", + "ĠBen in", + "unt ed", + "Ġtrain er", + "Ġparticip ation", + "ĠTem per", + "Ġbus y", + "Ġthreat s", + "Ġdepend ent", + "WW E", + "Ġstrengthen ed", + "ĠVoy ager", + "ĠHumph rey", + "5 80", + "T here", + "t ical", + "w ari", + "Ġc raft", + "ĠS d", + "ĠS ales", + "as hed", + "ĠT ow", + "Ġm ood", + "Ġ2 10", + "ĠM ud", + "ĠB ooth", + "ĠF ey", + "Ġre verse", + "ĠV eget", + "ĠAn alysis", + "te am", + "iss an", + "Ġshe ar", + "Ġoff spring", + "ĠPro gress", + "Ġpr inces", + "ĠPh antom", + "Ġend ors", + "Ġsm oking", + "Ġmet ab", + "Ġleg it", + "Ġeffect ively", + "ĠTim ber", + "Ġprotect ing", + "ĠEver ett", + "Ġbank ing", + "ĠTar zan", + "Ġveget able", + "ĠAM O", + "Ġrif les", + "Ġinaug uration", + "Ġsmart ph", + "Ġmanusc ripts", + "Ġmidfield ers", + "0 60", + "5 40", + "v re", + "an um", + "Ġb rack", + "Ġc ounsel", + "Ġp ublish", + "ĠP athan", + "ĠB otan", + "el ong", + "Ġl unar", + "ĠU pp", + "ĠSt range", + "ĠCh am", + "ĠY el", + "hen t", + "Ġ15 60", + "ĠPar ade", + "ĠBro ken", + "ĠEx ternal", + "fl at", + "Ġmat rix", + "97 2", + "58 1", + "95 1", + "sc reen", + "Ġexpl orers", + "ĠGall en", + "ĠBab a", + "ĠFern ndez", + "ĠAnat olia", + "ĠHed ge", + "Ġcooper ation", + "ĠCaucas us", + "0 50", + "0 80", + "8 21", + "d et", + "l ook", + "Ġ >", + "le igh", + "Ġan ger", + "ud er", + "ric o", + "ĠBr end", + "Ġcar riers", + "Ġide ology", + "ĠAv engers", + "Ġsequ ences", + "ĠAle j", + "ĠSn chez", + "rang ement", + "Ġcontroll er", + "Ġreve als", + "ĠGran ada", + "Ġsaxoph onist", + "ĠMarath on", + "Ġneighbour ing", + "ĠSched ule", + "ĠRuther ford", + "0 24", + "6 33", + "s ons", + "Ġ uter", + "ĠS op", + "Ġp our", + "ĠT ope", + "ĠC ic", + "ĠP ip", + "om ens", + "ĠW ink", + "ht i", + "ber ra", + "ag ger", + "ill i", + "if u", + "19 13", + "ab is", + "sp orts", + "ĠCom bat", + "act ions", + "inn y", + "ĠSc out", + "ĠSc ream", + "ĠPr int", + "ĠPr inces", + "Ġcent ered", + "Ġrem oval", + "57 2", + "Ġob vious", + "ĠRes cue", + "94 6", + "ha o", + "ĠGo ing", + "ĠMel an", + "Ġche aper", + "Ġclaim ing", + "Ġcost ume", + "Ġflood ed", + "ĠSix th", + "Ġstream ing", + "ĠBry ant", + "Ġju ice", + "4 12", + "d ong", + "h ouses", + "l og", + "l und", + "n u", + "Ġt ension", + "as ian", + "as se", + "ĠM D", + "il ight", + "et ically", + "ĠN S", + "ĠW ere", + "ra f", + "ĠV ac", + "ie ves", + "Ġ17 30", + "Ġdis charge", + "ĠPr att", + "Ġam pl", + "Ġint est", + "98 5", + "58 3", + "94 9", + "ĠDiv isions", + "ĠUs her", + "Ġboard s", + "ĠGi ul", + "Ġterror ists", + "Ġans wers", + "ĠAmaz ing", + "ithm etic", + "Ġabsor bed", + "Ġtornado es", + "ĠPatt erson", + "Ġreprod uce", + "ĠEff ects", + "Wh ite", + "ĠRaid ers", + "ĠConcer to", + "Ġtempor arily", + "7 13", + "M ayer", + "T O", + "U P", + "e astern", + "y am", + "z u", + "Ġt atto", + "ĠA ks", + "ĠT b", + "ĠP ik", + "ĠH yl", + "ĠD ro", + "ot r", + "ĠG us", + "qu i", + "ĠEd it", + "omet er", + "98 4", + "97 7", + "58 4", + "Ġwant ing", + "55 3", + "94 2", + "Ġmy el", + "ĠThat cher", + "ĠMem ory", + "rang ers", + "ĠJenn ings", + "ĠKey s", + "ache v", + "ĠBurg undy", + "Ġbul lets", + "Ġgrav itational", + "ĠAssoci ate", + "Ġfil ter", + "abul ary", + "ĠBots wana", + "5 20", + "5 96", + "7 15", + "7 14", + "N D", + "P ac", + "g reat", + "Ġ ell", + "ar b", + "it ely", + "ĠP omp", + "ĠB old", + "ĠD ord", + "est own", + "Ġv ib", + "Ġch ol", + "ĠAl one", + "Ġex chang", + "ĠFl ower", + "ĠX en", + "ste en", + "54 3", + "Ġtreat ments", + "ĠSn ake", + "Ġdraw s", + "Ġcoup les", + "ĠTheres a", + "fortun ately", + "5 21", + "8 60", + "8 70", + "I sonzo", + "f ront", + "g ood", + "m our", + "y on", + "is ible", + "Ġc ob", + "ĠA e", + "ĠB ick", + "ĠD ino", + "ĠE up", + "ĠW itt", + "ĠW CW", + "ĠK ah", + "ĠHe ar", + "Ġv om", + "Ġ8 88", + "ĠCan berra", + "Ġsec ular", + "Ġbl ank", + "ĠFl at", + "ĠTe k", + "Ġdifferent ial", + "ĠAm ber", + "ink a", + "Ġinter action", + "97 3", + "Ġequ ator", + "ĠEr ich", + "Ġinf inite", + "Ġrail ways", + "ĠProt ocol", + "ĠOper ations", + "ĠLow e", + "Ġinte ger", + "Ġunc onscious", + "ĠWhe eler", + "ĠSumm ary", + "Ġpup ils", + "ĠRodrig uez", + "ĠSter ling", + "Ġvit amin", + "Ġpros ecut", + "ĠLamborg hini", + "0 90", + "0 70", + "5 50", + "8 90", + "ar ov", + "ĠS it", + "ĠT rial", + "ĠI ro", + "ĠW ife", + "ĠK iller", + "ĠK iev", + "ld on", + "ore ctal", + "ĠTh uring", + "Ġen h", + "ĠPar ma", + "its ch", + "ĠBra un", + "ĠComp anion", + "ĠPet erson", + "aly pt", + "ĠGar rett", + "Ġcirc uits", + "acter ia", + "osh ima", + "ĠSev enth", + "ĠDown town", + "ĠCirc um", + "ĠAlfred o", + "Ġopt ions", + "ĠCour se", + "Ġexplos ive", + "Ġdrain age", + "Ġattrib uted", + ". ;", + "5 23", + "H am", + "d oc", + "p ol", + "s z", + "Ġs id", + "ĠA ston", + "ĠC ertain", + "ĠC umm", + "ĠM oy", + "ĠI MD", + "ĠR aven", + "ĠN olan", + "ĠK ik", + "ign an", + "Ġ\" \"", + "Ġr idge", + "Ġind oor", + "95 3", + "94 3", + "Ġgot ten", + "ĠRev enge", + "Ġhon ours", + "ĠCor inth", + "ĠMat ter", + "ĠDef in", + "ĠBow ie", + "Ġpage ant", + "Ġprevent ed", + "ĠReb ellion", + "ĠPrem iers", + "Ġstrateg ic", + "ĠEstab lishments", + "Ġtrig ger", + "Que en", + "ĠPorts mouth", + "0 10", + "7 30", + "he lp", + "on an", + "Ġf ins", + "Ġp m", + "ĠL una", + "Ġl v", + "ĠG um", + "ĠG ron", + "ĠE ly", + "ĠO uter", + "ra wn", + "Ġse iz", + "Ġ17 63", + "Ġtw entieth", + "ĠSh ia", + "ock ing", + "Ġdis ks", + "ĠCan ary", + "enn ial", + "Ġrem n", + "98 9", + "97 5", + "55 5", + "Ġsw allow", + "Ġequ ally", + "ĠLat ino", + "Ġround ed", + "Ġvir al", + "Ġoccup ations", + "Sp ace", + "Ġpoison ous", + "0 30", + "p os", + "Ġp ub", + "Ġp ound", + "Ġm ating", + "ĠC ot", + "ĠM O", + "ĠM ai", + "ĠM ys", + "Ġl amp", + "ĠD ir", + "ĠG erm", + "ĠK olk", + "ill iant", + "ĠCh it", + "ĠCh ung", + "Ġr ay", + "ib ilities", + "form ers", + "Ġind irect", + "Ġsl ang", + "ĠPer kins", + "lin er", + "Ġtrans c", + "95 2", + "ĠAp ache", + "Ġer otic", + "ĠGab on", + "Ġcontroll ing", + "ĠAlexand re", + "ĠTel ugu", + "Cl ass", + "ĠDist inguished", + "Ġspr inter", + "Lou is", + "ĠFrancon ia", + "ĠShre k", + "ĠLabr ador", + "5 45", + "G I", + "G overn", + "l ights", + "ar ius", + "Ġb rick", + "ĠA V", + "ĠT cha", + "ĠC ody", + "ĠM um", + "ou b", + "ef ield", + "ĠW ine", + "ĠK ras", + "ul ous", + "ĠHe w", + "Ġch im", + "Ġ16 80", + "Ġcol orectal", + "Ġbl ade", + "Ġspec imens", + "sh i", + "54 2", + "ĠSim one", + "ĠBo one", + "ĠFar ra", + "Ġmiss iles", + "Th at", + "Ġtal uk", + "ĠHo hen", + "ĠLev y", + "ĠRand olph", + "ĠAur ora", + "Ġproced ure", + "Ġsou p", + "ĠTajik istan", + "ĠYoun ger", + "ĠOkin awa", + "b cken", + "d ig", + "j ac", + "w ent", + "Ġt unnels", + "Ġs urnames", + "Ġc rystal", + "ĠM aterial", + "Ġd ictionary", + "Ġh arsh", + "Ġl ava", + "ĠF i", + "ĠG 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+ "Ġm ay", + "Ġm an", + "Ġw on", + "Ġl ike", + "ro s", + "art ment", + "r ist", + "ĠA ward", + "f orm", + "Ġs m", + "Ġe ar", + "ain t", + "Ġs uch", + "a x", + "he m", + "00 0", + "Ġto wn", + "fer ent", + "Ġre l", + "ĠF l", + "Ġar t", + "Ġmus ic", + "er ed", + "i ous", + "Ġin d", + "2 3", + "u al", + "Ġrele ased", + "Ġc re", + "am ed", + "ĠT e", + "in es", + "Ġ2 4", + "is hed", + "Ġestab lishments", + "Ġch ar", + "i um", + "ĠP resident", + "ro ugh", + "ĠP art", + "tern ational", + "Ġb ro", + "ĠA f", + "p en", + "s h", + "et s", + "Ġth ree", + "Ġdif ferent", + "Ġp erson", + "un g", + "Ġsec ond", + "Ġdire ct", + "Ġun til", + "ĠM ov", + "c er", + "ĠR iver", + "ĠR uss", + "Ġs up", + "Ġl ong", + "row span", + "ĠW est", + "ef ore", + "Ġst r", + "ot t", + "ĠE l", + "Ġg overn", + "Ġ200 3", + "er g", + "is e", + "Ġw ill", + "os s", + "Ġ2 5", + "il m", + "Ġ qu", + "Ġc ap", + "Ġ199 8", + "ĠL a", + "Ġw orld", + "ĠI I", + "e ed", + "o x", + "Ġle ad", + "st em", + "Ġl ater", + "Ġm ed", + "ĠG r", + "Ġthe n", + "1 1", + "Ġb ook", + "ĠAl l", + "are er", + "ant s", + "Ġch ild", + "ĠH is", + "Ġ201 9", + "ri ed", + "at ive", + "le t", + "er v", + "Ġd r", + "Ġ201 7", + "Ġd ec", + "en c", + "z e", + "Ġn ational", + "Ġm ember", + "Ġa ge", + "Ġth rough", + "ĠR el", + "Ġm ar", + "Ġare a", + "at s", + "om en", + "ĠA b", + "Ġm ain", + "it s", + "ĠA fter", + "ther n", + "amp ions", + "ut ion", + "Ġ200 4", + "3 0", + "ĠW h", + "ĠA m", + "ĠS e", + "ĠG u", + "ograph y", + "el s", + "ĠCom mun", + "Ġ3 0", + "f ect", + "in k", + "c c", + "v ent", + "Ġsong s", + "19 7", + "Ġ201 8", + "Ġs ame", + "Ġsing er", + "ĠB ar", + "ctor s", + "ul l", + "olog y", + "Ġsm all", + "Ġb and", + "O S", + "Ġc ar", + "Ġm ake", + "Ġl oc", + "ĠH er", + "Ġ200 5", + "re en", + "ĠGe or", + "Ġ201 4", + "ĠCh rist", + "Ġfor mer", + "Ġf our", + "Ġs ub", + "d om", + "ly mp", + "ĠB e", + "g er", + "ĠM an", + "g est", + "Ġre t", + "5 0", + "in o", + "re t", + "ian s", + "c om", + "Ġdep artment", + "Ġcon s", + "Ġl angu", + "Ġk ill", + "Ġf e", + "Ġpro v", + "ĠSp ace", + "Ġus e", + "Ġa m", + "ĠO lymp", + "Ġl ife", + "l p", + "Ġm et", + "ak es", + "ĠW ill", + "if orn", + "ĠC ent", + "Ġa ir", + "is c", + "oun c", + "ov e", + "c ent", + "ĠCal iforn", + "Ġbe ing", + "Ġ19 0", + "ur al", + "y l", + "\" ,", + "Ġc r", + "ĠH ar", + "ĠCaliforn ia", + "Ġg ame", + "f ess", + "ĠPart y", + "Ġw ell", + "Ġ20 21", + "Ġprod uc", + "Ġ ed", + "oll ow", + "b le", + "Ġm od", + "Ġb ack", + "j ect", + "ĠR e", + "Ġn o", + "Ġp ages", + "Ġrec ord", + "ĠH ow", + "Ġd id", + "Ġof ten", + "Ġb el", + "y n", + "an k", + "Ġ2 1", + "Ġre p", + "Ġn amed", + "ie w", + "2 4", + "at ing", + "ĠB ra", + "land s", + "om et", + "Ġstart ed", + "6 0", + "iel d", + "Ġg u", + "r est", + "Ġ .", + "ĠCh ar", + "Ġo ld", + "ĠP ol", + "ĠO ff", + "Ġ201 6", + "a e", + "Ġreg ion", + "Ġb ased", + "Ġ2 3", + "2 5", + "st it", + "ĠGerman y", + "ĠN or", + "il le", + "ug ht", + "Ġb efore", + "Ġsy stem", + "al d", + "Ġ201 5", + "ĠA ng", + "8 0", + "Ġm unicipal", + "r ies", + "Ġfam ily", + "ĠM inist", + "Ġ2 9", + "ĠJapan ese", + "ician s", + "om ar", + "our n", + "ĠEng land", + "Ġs aid", + "Ġp ar", + "Ġre m", + "ĠInd ian", + "ĠRel ated", + "Ġo wn", + "ĠR oman", + "ener al", + "Ġ200 6", + "ĠPal omar", + "Ġagain st", + "Ġs ince", + "el f", + "Ġund er", + "ĠT r", + "if ic", + "ir d", + "Ġc areer", + "ond on", + "uc k", + "Ġact ress", + "on y", + "et her", + "Ġcommun e", + "ill ion", + "Ġt ran", + "Ġn orth", + "Ġl aw", + "b urg", + "k e", + "4 0", + "en g", + "Ġg ames", + "2 7", + "ĠB ro", + "ĠP eak", + "Ġn ear", + "ĠMov ies", + "ĠItal ian", + "Ġ X", + "ĠE m", + "ĠK itt", + "ĠL ondon", + "2 9", + "Ġ2 6", + "ĠE n", + "ĠA ir", + "Ġp o", + "ĠDe ath", + "st r", + "b s", + "at a", + "ĠH istory", + "Ġpl ace", + "Ġchar act", + "as k", + "Ġan y", + "Ġw e", + "Ġ2 8", + "Ġhe lp", + "w atch", + "2 8", + "ĠE x", + "ĠC up", + "Ġf ollow", + "c he", + "Ġw ater", + "Ġ201 1", + "i ation", + "2 6", + "at ure", + "is on", + "Ġas s", + "a f", + "Ġw ar", + "Ġ2 7", + "ĠSpace watch", + "Ġgovern ment", + "Ġ ent", + "Ġdirect ed", + "Ġb est", + "Ġin ter", + "ampions hip", + "ĠE ar", + "Ġt yp", + "in ess", + "r ing", + "Ġg r", + "Ġthe se", + "Ġan im", + "g ram", + "l ing", + "Ġ200 7", + "ul ar", + "al a", + "Ġcent ury", + "EA T", + "b y", + "u th", + "ar a", + "ain s", + "h am", + "ĠU S", + "ĠN EAT", + "c on", + "ide o", + "ĠAs s", + "Ġpopul ation", + "ĠS ome", + "an a", + "ed y", + "3 3", + "in t", + "Ġe ver", + "Ġse ason", + "od y", + "Ġm il", + "ram a", + "Ġ20 22", + "o on", + "Ġcount ry", + "Ġs ur", + "at or", + "Ġ &", + "ow s", + "ĠKing dom", + "Ġapp ear", + "ord s", + "am a", + "ro g", + "al t", + "Ġ201 3", + "Ġa round", + "Ġinclud ing", + "ut e", + "ĠW hen", + "Ġor ig", + "Ġl and", + "st er", + "Ġor gan", + "Ġ199 0", + "ĠM e", + "f l", + "9 0", + "Ġb oth", + "Ġse ver", + "oin t", + "T he", + "od e", + "a ul", + "Ġwebsit e", + "Ġ200 8", + "aj or", + "7 0", + "t t", + "an ish", + "Ġs chool", + "re m", + "Ġc ould", + "Ġin v", + "Ġ2 2", + "am b", + "q ue", + "r id", + "al es", + "ĠM c", + "ip p", + "d e", + "ĠB el", + "z er", + "on es", + "Ġ em", + "Ġs et", + "Ġd istrict", + "ĠG overn", + "il t", + "n er", + "ist an", + "ĠIn ternational", + "ur ch", + "us iness", + "ĠCanad ian", + "iz ed", + "emb ers", + "Ġim port", + "ĠWill iam", + "m s", + "ĠAustral ia", + "Ġbu ild", + "Ġ201 2", + "Ġ( )", + "Ġl ist", + "oug ht", + "ĠM ed", + "Ġpro fess", + "ag o", + "Ġe ach", + "Ġh ow", + "Ġr un", + "ĠAmer ica", + "a ur", + "Ġs l", + "ak ing", + "Ġh igh", + "um b", + "3 4", + "Ġus ually", + "n ey", + "Ġ right", + "Ġl ived", + "ĠAnd erson", + "ĠCom p", + "ĠCommun es", + "uct ion", + "o ard", + "ĠM es", + "Ġex amp", + "vel op", + "ĠPh il", + "Ġs im", + "ĠThe se", + "ort s", + "Ġ200 9", + "al k", + "ros s", + "9 9", + "Ġchild ren", + "ĠM on", + "3 7", + "Ġh um", + "i ence", + "6 5", + "ra ct", + "om in", + "u es", + "um mer", + "ĠM ich", + "ib le", + "ĠH ouse", + "w rit", + "Ġl ast", + "o le", + "Ġde velop", + "col span", + "ĠAust r", + "6 4", + "ad em", + "et er", + "Ġcre ated", + "Ġro ck", + "Ġcomp os", + "6 8", + "ĠO ne", + "6 7", + "ist or", + "Ġc aus", + "N E", + "\"| -", + "Ġser v", + "ĠInd ia", + "3 5", + "ĠMinist er", + "ĠL ou", + "Ġs k", + "Ġ ran", + "ĠSw ed", + "urr ent", + "le x", + "Ġc ounty", + "Ġ '", + "Ġbe gan", + "Ġad d", + "Ġsever al", + "Ġpro gram", + "\"|- ||", + "Ġw inn", + "Ġs ign", + "ĠS an", + "Ġcl ub", + "ĠP er", + "Ġs outh", + "Ġst at", + "ĠD em", + "Ġatt ack", + "en e", + "Ġwh ile", + "Ġo per", + "ĠSt ate", + "Ġcom mon", + "ĠS ec", + "in c", + "an e", + "Ġwrit er", + "3 8", + "Ġ198 0", + "ĠD av", + "Ġv ers", + "ap p", + "ĠG l", + "ed er", + "f or", + "f ul", + "ĠS up", + "Ġlar ge", + "c hes", + "Ġt erm", + "us h", + "ĠS y", + "it ary", + "Ġimport ant", + "Ġl ive", + "v en", + "ens us", + "s ide", + "ing ton", + "Ġoff icial", + "ĠHow ever", + "4 5", + "Ġsing le", + "ĠS ch", + "Ġ if", + "Ġp ol", + "Ġhe ad", + "ĠDeath s", + "Ġd rama", + "re w", + "ĠAustral ian", + "Ġdis c", + "ir ed", + "Ġac c", + "d ay", + "ĠC ities", + "6 9", + "Ġw ent", + "Ġ199 7", + "Ġf ilm", + "n a", + "l er", + "Ġin t", + "att le", + "Ġpopul ar", + "st e", + "a ught", + "as ter", + "Ġs uc", + "ĠA c", + "Ġm illion", + "ber g", + "t he", + "ĠMes a", + "Ġd ef", + "Ġmunicipal ity", + "ĠOff icial", + "Ġd iv", + "ĠRuss ian", + "Ġlangu age", + "ic o", + "z il", + "3 9", + "a ut", + "id d", + "Ġn ow", + "o ice", + "ro l", + "Ġs oc", + "ĠM iss", + "Ġle g", + "4 8", + "Ġexamp le", + "4 7", + "Ġm at", + "an ge", + "ce pt", + "Ġdes ign", + "Ġ199 6", + "om b", + ". \"", + "Ġp ower", + "Ġf in", + "ĠS er", + "Ġch ang", + "Ġcount ries", + "Ġm in", + "Ġear ly", + "Ġe p", + "Ġan n", + "ĠCh ampionship", + "Ġp resident", + "ĠBra zil", + "Ġd ist", + "omet imes", + "iv en", + "Ġh ome", + "ĠM ex", + "Ġg et", + "w est", + "Ġen g", + "ĠH ol", + "ĠL O", + "ĠQ u", + "Ġcomp et", + "Ġw est", + "ĠC o", + "Ġgroup s", + "ock ey", + "Ġinclud e", + "ic es", + "ĠP ark", + "ĠR ec", + "Ġo pen", + "Ġd ay", + ". .", + "iv il", + "Ġv ideo", + "Ġin c", + "op h", + "i ef", + "l in", + "Ġex p", + "Ġtran s", + "ber t", + "ĠR ober", + "Ġcap ital", + "p le", + "Ġspec ies", + "Ġme ans", + "ĠS m", + "f ord", + "NE OS", + "ĠLO NEOS", + "Ġ196 0", + "Ġwrit ten", + "ĠP olit", + "ri end", + "i j", + "ĠSp anish", + "con om", + "5 7", + "Ġle ft", + "g es", + "i en", + "ĠS ing", + "Ġw ay", + "id ed", + "ĠJ ames", + "ĠS chool", + "Ġex t", + "ĠT ur", + "ro d", + "ĠP aul", + "oc rat", + "Ġever y", + "ĠS en", + "ĠM or", + "g in", + "Ġh istory", + "Ġ199 5", + "a ces", + "Ġ ,", + "ĠD r", + "9 8", + "Ġm embers", + "ĠT ex", + "our t", + "ĠP ort", + "ĠCanad a", + "Ġp ass", + "ĠA ctors", + "i od", + "Ġt imes", + "ĠE ast", + "c o", + "ĠAng el", + "ĠF ootball", + "e al", + "l ed", + "i us", + "Ġ197 0", + "Ġd own", + "F A", + "r is", + "ĠS aint", + "le ge", + "u ff", + "Ġm uch", + "ĠG ree", + "ch n", + "ov er", + "Ġman ag", + "Ġmar ried", + "Ġact iv", + "ar n", + "Ġwh at", + "9 7", + "5 8", + "an ia", + "id es", + "m a", + "ra in", + "Ġpro t", + "ep end", + "oun g", + "ro te", + "ĠRep ublic", + "Ġfam ous", + "it ar", + "|||| ||||", + "it er", + "ist ics", + "Ġcan cer", + "Ġsh ort", + "Ġ199 4", + "Ġw omen", + "e an", + "i or", + "Ġv ar", + "os p", + "ĠM il", + "ĠR eg", + "id a", + "ĠS ov", + "Ġst ill", + "Ġcom edy", + "Ġm ajor", + "a el", + "ĠFl or", + "or p", + "ĠN ot", + "Ġcl ass", + "ĠT own", + "y le", + "u el", + "Ġre f", + "o e", + "ĠPro v", + "Ġbu ilt", + "ct ion", + "Ġf ather", + "h an", + "Ġ3 1", + "y a", + "ol ution", + "al th", + "Ġj oin", + "v iew", + "Ġc urrent", + "ill a", + "ĠGeor ge", + "ĠIt s", + "Ġre ce", + "k y", + "ĠN Y", + "Ġ1 00", + "g y", + "v es", + "6 6", + "Ġst ar", + "as tern", + "ĠLou is", + "Ġs old", + "as es", + "Ġ18 8", + "Ġ199 2", + "op e", + "Ġb re", + "ĠPr ime", + "Ġp ubl", + "ĠSov iet", + "9 5", + "ĠP re", + "he l", + "Ġt it", + "o f", + "Ġ199 3", + "Ġv ill", + "ric k", + "Ġdo es", + "ĠJ os", + "Ġsup port", + "ut ch", + "ĠJ ack", + "Ġlar gest", + "Ġcomp any", + "Ġto ok", + "Ġs on", + "Ġa ward", + "ĠAr t", + "Ġp ublic", + "ĠR ed", + "ĠCh ic", + "ĠC at", + "ans as", + "Ġb usiness", + "Ġg ood", + "ĠItal y", + "ĠT w", + "Ġw rote", + "ĠV al", + "ĠUn ion", + "ĠM ount", + "Ġmov ed", + "ĠEurope an", + "ĠV ir", + "ĠK ore", + "ĠM any", + "en a", + "Ġan other", + "Ġbec ome", + "ĠCom m", + "Ġl a", + "Ġfootball er", + "ĠR ich", + "ĠTex as", + "n ess", + "Ġth ird", + "ĠA g", + "ad io", + "is ed", + "ĠCh ina", + "Ġc ame", + "Ġsuc cess", + "Ġo b", + "oc iation", + "Ġhe ld", + "ĠChic ago", + "Ġdire ctor", + "Ġto p", + "Ġb ody", + "Ġst age", + "Ġ199 1", + "c y", + "ĠR o", + "enc y", + "w ork", + "3 6", + "Ġb ig", + "ad es", + "Ġn eed", + "ĠNY S", + "4 4", + "ot s", + "Ġev en", + "ĠDem ocrat", + "ric a", + "Ġpro ble", + "Ġcont in", + "ourn al", + "uth or", + "Ġalbum s", + "Ġg iven", + "Ġprofess ional", + "Ġp os", + "Ġw ant", + "ur ed", + "Ġg en", + "iv al", + "ag n", + "Ġb as", + "Ġme an", + "ad y", + "Ġph ys", + "ĠC ast", + "Ġbook s", + "ĠP ak", + "ĠP ri", + "Ġpolit ical", + "Ġcon d", + "ĠD on", + "ex t", + "ĠRober t", + "ĠM ont", + "ac ed", + "os ed", + "ra ft", + "ĠSp ort", + "ĠC ap", + "ĠL os", + "r ican", + "ĠD uring", + "Ġd eb", + "5 5", + "ĠM y", + "Ġj ust", + "ar m", + "Ġcom m", + "ĠS l", + "Ġs ix", + "ir l", + "ĠD istrict", + "Ġwork ed", + "ut er", + "Ġo cc", + "ĠY ou", + "k i", + "Ġn ov", + "ĠBl ack", + "Ġpolitician s", + "7 8", + "ĠM ost", + "ĠDav id", + "Ġc ensus", + "and er", + "ĠL ist", + "ĠB est", + "h i", + "ĠD ep", + "Ġdes c", + "ĠT ra", + "av ing", + "Ġc ult", + "iet y", + "Ġcharact er", + "il ity", + "t ain", + "Ġth ings", + "ĠCl ub", + "ul a", + "ĠJ ew", + "Ġkill ed", + "at ural", + "er a", + "ĠAf rican", + "Ġres p", + "ou thern", + "Ġp resent", + "3 1", + "ĠCh in", + "ĠM al", + "Ġep is", + "ĠN e", + "ĠH igh", + "Ġal ong", + "Ġm en", + "v ille", + "Ġr ul", + "Ġf ive", + "um p", + "ĠF rom", + "ut ed", + "ĠD utch", + "ĠSc ott", + "m en", + "Ġl ight", + "r u", + "Ġ| }", + "ĠB as", + "ra b", + "it ions", + "m ed", + "Ġw ord", + "o o", + "ĠW e", + "Ġf em", + "ĠR es", + "or ies", + "s c", + "ĠH en", + "ĠR oy", + "ĠW ash", + "Ġ198 9", + "Ġl iving", + "Ġs w", + "m e", + "ĠG ro", + "id s", + "ĠAs ia", + "ear ch", + "Ġper iod", + "Ġmil itary", + "il ar", + "Ġr ed", + "Ġro le", + "ĠB y", + "ĠAc adem", + "ĠS al", + "av y", + "ĠS ummer", + "9 4", + "ĠAf rica", + "ĠE mp", + "writ er", + "ĠB er", + "Ġ198 8", + "Ġfound ed", + "Ġplay s", + "an o", + "Ġ198 1", + "Ġt em", + "Ġvers ion", + "ĠD es", + "Ġser ved", + "ol ic", + "v al", + "itt le", + "3 2", + "Ġpubl ished", + "t y", + "ĠH al", + "Ġh istor", + "our s", + "Ġ ef", + "ĠM ad", + "Ġprov ince", + "e um", + "Ġrep resent", + "Ġus ing", + "ĠI ll", + "n ect", + "ĠQ ue", + "o ff", + "ant ic", + "Ġex pl", + "u x", + "ĠTh om", + "re g", + "ot a", + "Ġl ook", + "Ġwork s", + "ell s", + "ical ly", + "Ġm y", + "Ġor der", + "ounc il", + "' t", + "Ġf rog", + "ir c", + "ĠC ath", + "ĠM art", + "Ġfollow ing", + "ĠWash ington", + "l ine", + "Ġc amp", + "7 7", + "ĠGr and", + "ra el", + "Ġpart s", + "Ġf ew", + "Ġag ed", + "le ments", + "Ġret urn", + "Ġto g", + "ĠS am", + "Ġdis e", + "Ġ 0", + "Ġspec ial", + "Ġtog ether", + "Ġev ent", + "ĠAngel es", + "al ity", + "ĠChin ese", + "ĠB ut", + "Ġeng ine", + "ĠB u", + "ĠA lex", + "t al", + "ĠD iv", + "at ors", + "ĠPak istan", + "Ġa uthor", + "it zer", + "iz e", + "Ġ195 0", + "Ġ ide", + "ĠW rit", + "9 6", + "re am", + "k a", + "Ġhe art", + "Ġg reat", + "Ġcaus ed", + "ou l", + "ĠChar les", + "Ġf ood", + "h a", + "ĠChrist ian", + "iss ion", + "L O", + "od es", + "ĠM unicipal", + "ĠF irst", + "Ġbec om", + "ĠG reat", + "ĠE v", + "Ġs ometimes", + "iz ation", + "if ied", + "ĠH all", + "Ġelect ion", + "ounc ed", + "ĠMich ael", + "r ip", + "Ġe qu", + "or ed", + "ict ion", + "S t", + "Ġg ot", + "on a", + "op s", + "Ġ es", + "Ġr est", + "ĠN o", + "Ġse e", + "ĠD ay", + "Ġhum an", + "lect ion", + "Ġt er", + "Ġim p", + "Ġ198 6", + "Ġar r", + "Ġh ig", + "Ġt ake", + "Ġper form", + "Ġv oice", + "ĠVir gin", + "and s", + "c ed", + "Ġp ut", + "ĠG old", + "sp eople", + "ro v", + "i ol", + "5 4", + "ĠK ar", + "ĠP at", + "m inist", + "Ġth ought", + "ĠM ary", + "ĠPl ay", + "Ġg ener", + "g ian", + "ĠRich ard", + "Ġs ol", + "Ġbel ie", + "ĠOlymp ics", + "idd le", + "ĠB ill", + "ĠSp ain", + "Ġb i", + "i ers", + "ĠB en", + "ĠM ass", + "Ġf ight", + "B C", + "ĠL aw", + "ĠM et", + "Ġtr ad", + "ar ch", + "un t", + "Ġv ot", + "Ġ198 7", + "Ġse at", + "Ġgu itar", + "A S", + "ĠIs rael", + "Ġm other", + "ord ing", + "ĠI r", + "um ent", + "ĠCar ol", + "w ays", + "ĠG od", + "l o", + "Ġar ch", + "r ation", + "Ġ198 4", + "Ġle vel", + "Ġtyp e", + "ud e", + "Ġre pl", + "Ġ197 9", + "ĠS im", + "ar ed", + "ĠT er", + "8 8", + "Ġs ent", + "Ġv ol", + "Ġst ars", + "ĠS o", + "Ġf riend", + "Ġe conom", + "ĠT om", + "Ġin ternational", + "ĠPar is", + "in i", + "Ġn ext", + "Ġfe at", + "eren ce", + "ĠY ear", + "ĠAward s", + "Ġr iver", + "ĠU K", + "un n", + "ĠCh urch", + "ĠDemocrat ic", + "Ġg eneral", + "u ed", + "ĠF LO", + "at ives", + "5 9", + "Ġk ing", + "Ġl ine", + "ĠFran k", + "Ġm aking", + "Ġsc ient", + "ial ly", + "Ġ197 3", + "Ġm ark", + "Ġst ory", + "ĠTown s", + "ĠI f", + "Ġc rit", + "ĠTur k", + "Ġ198 5", + "m b", + "ĠAr g", + "ĠIs land", + "Ġd ata", + "Ġvill age", + "m ing", + "ĠL at", + "Ġy ou", + "ĠG eneral", + "et work", + "Ġ197 6", + "Ġ198 2", + "l iam", + "Ġorig in", + "Ġrel ig", + "ur a", + "ĠK n", + "per or", + "Ġf ind", + "Ġh ouse", + "ĠFlor ida", + "ar i", + "Ġan t", + "Ġ198 3", + "ĠS ant", + "ĠCol lege", + "Ġc hem", + "ĠAcadem y", + "form ation", + "ĠEmp ire", + "Ġ5 0", + "Ġv is", + "Ġlead er", + "I D", + "rop ical", + "Ġ197 7", + "u le", + "Ġf ail", + "i ber", + "Ġstr uct", + "ĠR ock", + "Ġj ournal", + "om a", + "Ġrece ived", + "ino is", + "Ġsim ilar", + "c ast", + "ĠAt l", + "ĠD an", + "ĠG o", + "st on", + "m ost", + "Ġloc ated", + "Ġn e", + "ĠH am", + "ĠK h", + "liam ent", + "ain ed", + "l ic", + "6 3", + "ĠT V", + "c her", + "ĠG ra", + ") :", + "ĠAustr ian", + "ĠIll inois", + "c ient", + "Ġ197 2", + "ĠB i", + "itzer land", + "ĠR ev", + "Ġart ist", + "s y", + "Ġproduc er", + "ert ain", + "Ġa ut", + "ig a", + "Ġnov el", + "ov ered", + "Ġd ays", + "Ġst ation", + "ĠD is", + "Ġed uc", + "Ġst op", + "ĠGree k", + "ĠMus ic", + "im ate", + "Ġp aint", + "ĠI m", + "ĠGovern or", + "Ġse en", + "ĠZ eal", + "ĠGeor g", + "Ġh ost", + "Ġall ow", + "Ġa v", + "a im", + "he st", + "Ġp rom", + "ad s", + "end ed", + "Ġstat istics", + "er ing", + "Ġ197 8", + "ĠP eter", + "Ġv al", + "ĠZeal and", + "Ġg l", + "Ġl ess", + "ĠSw itzerland", + "ar ian", + "Ġm ount", + "Ġe ast", + "Ġgro w", + "ĠSport speople", + "ĠAr ch", + "r or", + "Ġmod ern", + "Ġt urn", + "av es", + "y r", + "ĠT ran", + "ol f", + "ap e", + "ĠK ansas", + "Ġm akes", + "Ġcons id", + "0 8", + "ĠFran c", + "Ġdise ase", + "a ff", + "ir on", + "ĠD el", + "ĠOlymp ic", + "ĠU p", + "ĠAss ociation", + "Ġ193 0", + "ĠRuss ia", + "al f", + "200 6", + "4 9", + "im a", + "Ġ18 7", + "y d", + "cent ury", + "ar ia", + "ĠPolit icians", + "ĠSwed en", + "Ġis land", + "Ġst yle", + "ask et", + "200 5", + "Ġproduc ed", + "u z", + "Ġ197 4", + "aught er", + "ĠF ilm", + "Ġth ose", + "Ġ197 5", + "Ġbl ack", + "Ġl ed", + "est s", + "Ġev ents", + "Ġbe g", + "Ġind epend", + "ĠWrit ers", + "ian a", + "Ġelect ed", + "Ġteam s", + "ul ts", + "ĠT o", + "ĠProv ince", + "200 7", + "ĠCath olic", + "ĠM er", + "Ġcont rol", + "ud d", + "Ġbro ther", + "Ġpart y", + "ĠMex ico", + "Ġse x", + "un k", + "Ġst ates", + "Ġsh ould", + "Ġform ed", + "ition al", + "Ġ197 1", + "u ce", + "ĠG reen", + "th ough", + "ak en", + "re y", + "Ġ194 0", + "Ġd el", + "Ġcharact ers", + "in ter", + "4 6", + "it es", + "le ar", + "Ġg od", + "S S", + "in ed", + "l am", + "Ġs ound", + "uk e", + "Ġ #", + "gy pt", + "0 7", + "ur t", + "erg y", + "Ġwith out", + "Ġ :", + "Ġn omin", + "ĠEar th", + "I I", + "b oard", + "t ed", + "Ġmon ey", + "w ood", + "Ġph il", + "ĠA ct", + "ad a", + "Ġcon f", + "Ġtit le", + "Ġs ay", + "ĠVirgin ia", + "an i", + "Ġorig inal", + "Ġpl aces", + "f ield", + "Ġproble ms", + "o z", + "ap er", + "Ġd i", + "Ġs ide", + "ol s", + "ong ress", + "Ġann ounced", + "Ġ /", + "fect ure", + "if f", + "hem at", + "re et", + "ĠB ec", + "Ġdesc rib", + "ad u", + "ĠAr my", + "ĠWest ern", + "at ory", + "200 4", + "Ġw ife", + "Ġ ice", + "ent al", + "ight s", + "ĠE r", + "ubl ican", + "ĠRoy al", + "Ġd ue", + "s elf", + "ĠB C", + "ĠAn t", + "Ġa way", + "e ep", + "Ġex per", + "ill s", + "ĠHen ry", + "5 6", + "Ġshow s", + "Ġo pp", + "Ġl ot", + "ap pen", + "Ġjoin ed", + "ĠM ac", + "ĠE gypt", + "ic le", + "ĠThom as", + "Ġstr ong", + "Ġd est", + "Ġs il", + "Ġk ind", + "eb all", + "Ġmed al", + "Ġpo et", + "en se", + "A mer", + "Ġh ockey", + "ĠBrazil ian", + "Ġ el", + "asket ball", + "k n", + "ard s", + "ĠT or", + "ĠI ran", + "ur s", + "Ġst and", + "Ġto tal", + "ĠO l", + "ĠV ict", + "Ġ196 8", + "ist er", + "Ġc y", + "Ġmus ician", + "ol k", + "ĠArg ent", + "Ġm atch", + "ĠCent ral", + "ain e", + "ro y", + "ac hed", + "ĠO h", + "ĠW omen", + "ĠF in", + "Ġcompos er", + "ĠW il", + "ĠW ind", + "it a", + "ĠA cc", + "ĠC O", + "rid ge", + "x t", + "Ġd efe", + "g o", + "ep h", + "r ont", + "ste ad", + "Ġbuild ing", + "Ġc ities", + "Ġlangu ages", + "Ġs ite", + "as ons", + "Ġother s", + "Ġl ost", + "Ġchang ed", + "ers t", + "ĠB ook", + "ur b", + "ra w", + "200 3", + "Ġpl an", + "Ġloc al", + "yl v", + "ĠF I", + "ĠW ith", + "ĠV ill", + "Ġf ire", + "200 1", + "ord er", + "Ġdif f", + "Ġpro cess", + "Ġw rest", + "ĠPri ze", + "Ġm ust", + "Ġare as", + "urr ican", + "Ġp oss", + "em ents", + "Ġright s", + "ĠB ay", + "orp or", + "ĠC ouncil", + "Amer ican", + "ĠSt ud", + "Ġch ange", + "ĠD o", + "200 8", + "Ġstud io", + "ĠR ob", + "b e", + "re ed", + "Ġ196 9", + "ĠM in", + "Ġw ee", + "Ġd em", + "re land", + "Ġre al", + "c hed", + "end er", + "fl u", + "Ġre port", + "or ia", + "ĠRep ublican", + "8 7", + "ĠP op", + "Ġm ult", + "Ġwh ite", + "F F", + "Ġ196 4", + "Ġbe h", + "ĠSt ar", + "Ġl ate", + "ĠRec ords", + "n ot", + "ĠG ames", + "ĠP et", + "ad o", + "ĠCat al", + "Ġl ives", + "e le", + "ĠSwed ish", + "ward s", + "Ġ =", + "9 3", + "ether lands", + "Ġinclud es", + "Ġp at", + "Ġp oint", + "Ġh appen", + "ers ey", + "ĠD ev", + "om s", + "ĠI reland", + "Ġplay ing", + "ĠO k", + "ĠM ic", + "200 2", + "Ġ196 7", + "ĠC ont", + "el and", + "b or", + "Ġsoc ial", + "Ġh ard", + "ĠWh ite", + "Ġ $", + "Ġef fect", + "ĠP enn", + "Ġbro ad", + "Ġsc ience", + "ĠGro up", + "ĠA v", + "r d", + "ic les", + "rip t", + "Ġc ivil", + "ĠSc ot", + "al y", + "l ished", + "ar ies", + "Ġd et", + "Ġf un", + "Ġn on", + "ĠCarol ina", + "Ġy oung", + "Ġg ave", + "Ġinclud ed", + "ĠAustr ia", + "ĠSup er", + ". ,", + "ill er", + "ip s", + "Ġ )", + "Ġm ix", + "4 3", + "Ġre ad", + "ĠSec ret", + "aw a", + "Ġr adio", + "Ġmost ly", + "og n", + "ĠO s", + "200 0", + "an ies", + "Ġm ag", + "re l", + "i ro", + "Ġanim als", + "6 1", + "n ing", + "Ġh and", + "i qu", + "sh ire", + "Ġph ot", + "p art", + "ĠL ife", + "Ġ4 0", + "U n", + "Ġappear ed", + "Ġp ain", + "Ġg old", + "ak er", + "Ġf ield", + "eder al", + "am m", + "ĠM r", + "Ġte chn", + "ib r", + "Ġa ff", + "Ġf inal", + "c le", + "4 1", + "z a", + "Ġh old", + "all s", + "Ġra ce", + "Ġad v", + "Ġres ult", + "ĠC ro", + "b on", + "Ġn or", + "ant on", + "ĠM el", + "ĠH on", + "ĠS ur", + "Ġw ords", + "ĠN etherlands", + "ad or", + "ĠA rab", + "y m", + "ĠEar ly", + "p s", + "c raft", + "Ġs ett", + "ĠM ag", + "angu age", + "Ġ194 5", + "l i", + "ig er", + "ĠB o", + "9 2", + "ĠR h", + "Ġse a", + "ĠA pp", + "ect ed", + "Ġcol or", + "at o", + "il es", + "b r", + "Ġd aughter", + "ec ut", + "lect ed", + "ep ar", + "le ment", + "ĠC he", + "sp ort", + "Ġdeb ut", + "inn ing", + "200 9", + "9 1", + "Ġc or", + "199 9", + "Ġcomp uter", + "op her", + "a ud", + "os aur", + "Ġcom es", + "Ġc al", + "ĠL ab", + "he ast", + "it her", + "Ġstud y", + "ĠMar k", + "Ġco ach", + "Ġus es", + "uc ed", + "ĠC r", + "Ġt rib", + "Ġt aken", + "Ġ z", + "Ġwant ed", + "w w", + "id ing", + "6 2", + "Ġg ra", + "ĠCon f", + "ĠOh io", + "i que", + "Ġ196 6", + "is l", + "ĠF am", + "l or", + "ce an", + "Ġ( ;", + "ĠH a", + "5 3", + "ĠS ince", + "ĠV ol", + "Ġfem ale", + "st ate", + "Ġoff ice", + "ĠTh at", + "it ect", + "ub e", + "ĠB attle", + "ĠD en", + "in ation", + "ĠDiv ision", + "5 1", + "Ġre fer", + "ĠG ar", + "Ġ [", + "n y", + "it ch", + "Ġinv ol", + "i y", + "4 2", + "c a", + "ĠH ung", + "Ġ194 7", + "ell ow", + "e h", + "g en", + "Ġh aving", + "Ġbir th", + "at ic", + "Ġsc reen", + "ĠPort ug", + "Ġn atural", + "g r", + "w are", + "ĠJ er", + "ĠS ol", + "Ġwith in", + "le te", + "C h", + "ann el", + "ĠN ob", + "G B", + "ĠM od", + "ĠU k", + "Ġro und", + "Ġsp orts", + "k ed", + "s el", + "ĠLe g", + "ict ures", + "l a", + "ĠMus eum", + "Ġd am", + "ig an", + "ri al", + "ĠGe ography", + "Ġbet ter", + "Ġdevelop ed", + "Ġp ost", + "on ia", + "r ia", + "ĠGeorg ia", + "es se", + "Ġ196 5", + "Ġsur v", + "ĠJ ersey", + "Ġp ort", + "ĠJ r", + "ab it", + "ĠScott ish", + "Ġkn ow", + "ĠH el", + "ĠM os", + "Ġfootball ers", + "ies t", + "ĠPol ish", + "ĠJew ish", + "ĠH um", + "Ġ194 8", + "Ġs om", + "Ġh alf", + "Ġs ays", + "Ġv oc", + "ĠNor thern", + "Ġth ink", + "g ed", + "Ġpr ison", + "ĠB oy", + "Ġ196 3", + "ĠG en", + "Ġ195 6", + "he im", + "ĠS ong", + "ĠL o", + "Ġin formation", + "ĠP e", + "Ġcom e", + "ĠB ur", + "sy ch", + "V ID", + "Ġf ree", + "Ġs epar", + "Ġm ass", + "Ġle arn", + "ĠL ake", + "Ġestab lished", + "Ġdist rib", + "ĠG all", + "as y", + "Ġv iol", + "an ces", + "ĠL ove", + "ĠK ent", + "ĠLe e", + "u a", + "y o", + "ific ation", + "Ġconsid ered", + "b ers", + "urrican e", + "olog ical", + "Ġbecom es", + "Ġsp eak", + "Ġam ong", + "Ġstud ied", + "ĠS ett", + "ĠCO VID", + "Ġt our", + "ac y", + "Ġcon nect", + "ĠSt ev", + "ip le", + "Ġto o", + "ĠB or", + "osp ital", + "Ġad minist", + "ĠRep resent", + "ĠS un", + "Ġf ish", + "um n", + "Ġh on", + "Ġs outhern", + "ag on", + "Ġin flu", + "il s", + "ĠJ ul", + "our ces", + "ol a", + "et ts", + "Ġab le", + "ĠC amp", + "Ġl ab", + "u f", + "l im", + "Ġ20 23", + "ĠPre fecture", + "ro ll", + "ĠCent er", + "Ġcommun ity", + "it or", + "Ġ196 1", + "ĠC or", + "it z", + "ac her", + "l ess", + "ell ing", + "Ġs qu", + "Ġepis ode", + "ĠQue en", + "Ġd one", + "ĠEm peror", + "ou ri", + "ut es", + "Ġ196 2", + "ĠPr ince", + "ĠR os", + "t a", + "am ent", + "ĠAn n", + "Ġ194 6", + "ĠB ang", + "Ġind ust", + "et ic", + "em s", + "kn own", + "s ylv", + "ĠS k", + "ĠC ount", + "ĠC ivil", + "ond iss", + "ash i", + "Ġtra in", + "v ious", + "ĠIn ter", + "Ġcent er", + "ĠSm ith", + "l ike", + "Ġw oman", + "ur der", + "ĠP an", + "ĠIn stit", + "Ġsp ace", + "Ġab ove", + "us ed", + "ĠIr ish", + "\" )", + "Ġt re", + "j an", + "ĠC ourt", + "ĠCol umb", + "am s", + "ĠM at", + "s ong", + "Ġm ot", + "Ġl ow", + "ĠJ ust", + "amp ion", + "ap s", + "ĠIs lam", + "for man", + "ĠS illa", + "Ġmod el", + "ĠL in", + "m ar", + "Ġin str", + "ĠO bs", + "Ġmat hemat", + "Ġpos ition", + "r ie", + "Ġwrit ers", + "ĠMunicipal ities", + "ach us", + "it iz", + "Ġ194 2", + "Ġco ast", + "ĠGovern ment", + "sylv ania", + "ĠII I", + "ĠFI FA", + "g round", + "o or", + "ap t", + "Ġtra ck", + "Ġ194 9", + "Ġphil os", + "s ur", + "ak a", + "Ġc op", + "Ġn ever", + "Ġwork ing", + "Ġ195 7", + "Ġ19 20", + "az z", + "ĠC ongress", + "b and", + "Ġth ough", + "ĠB ern", + "199 8", + "ent ly", + "ĠE OS", + "Ġnor thern", + "Ġ194 1", + "Ġinc re", + "Ġt ro", + "Ġt reat", + "at ely", + "Ġcount ies", + "ĠMart in", + "Ġc irc", + "Ġ194 4", + "Ġis s", + "rit ory", + "el t", + "Ġwinn ers", + "ĠSe a", + "achus etts", + "Ġ193 6", + "ĠPar liament", + "Ġmus ical", + "ĠJ im", + "Ġ195 1", + "5 2", + "Ġob ject", + "ĠM a", + "pl ay", + "Ġint rod", + "Ġ et", + "ĠTe levision", + "ĠW W", + "ef f", + "Ġk eep", + "Ġal most", + "Ġf ar", + "d s", + "v ers", + "b ack", + "ĠScot land", + "ĠF red", + "Ġb r", + "Ġ193 9", + "ĠMass achusetts", + "Ġch art", + "Ġ ill", + "ĠThe ir", + "Ġoff ic", + "Ġpl ants", + "w h", + "ver age", + "et te", + "Ġf ull", + "re ad", + "ĠC ons", + "Ġtyp es", + "Ġh or", + "Ġsing ers", + "Ġserv ice", + "Ġ193 4", + "Ġhig hest", + "w a", + "Ġf a", + "ĠL and", + "Ġ8 8", + "ĠEd ward", + "Ġn ames", + "ish op", + "ĠHal eak", + "ĠW ales", + "ĠDis ney", + "Ġmus icians", + "H L", + "ĠJos eph", + "ĠSt an", + "Ġ195 8", + "ot o", + "ĠSett lements", + "Ġp res", + "Ġth r", + "Ġc ast", + "ĠBec ause", + "ĠB ob", + "ĠS at", + "p ec", + "ĠH ot", + "ell a", + "ater ial", + "Ġact ion", + "Ġde v", + "Ġc and", + "ĠS il", + "Ġret ired", + "Ġend ed", + "ĠPenn sylvania", + "c ul", + "ĠHaleak ala", + "Ġh it", + "ĠKore an", + "n ow", + "Ġwinn ing", + "p her", + "Ġb asketball", + "Ġcom b", + "Ġ193 8", + "Ġle ast", + "id er", + "b a", + "p e", + "ze ch", + "ĠE U", + "A R", + "ran ch", + "Ġk ey", + "ĠT ok", + "Ġsuccess ful", + "olog ist", + "ĠFor mer", + "ĠW rest", + "Ġ195 2", + "Ġin f", + "199 7", + "Ġopen ed", + "ĠU s", + "Ġen ergy", + "Ġ( \"", + "Ġ195 4", + "istric ts", + "m ark", + "Ġc he", + "Ġw in", + "ĠCar l", + "Ġar my", + "ress ion", + "Ġt en", + "est ival", + "ow a", + "ĠJ o", + "Ġpr im", + "Ġ192 9", + "Ġapp ro", + "u it", + "Ġ195 9", + "Ġmet al", + "ĠKore a", + "ĠB ir", + "ĠNot es", + "ĠS om", + "Ġcon stit", + "Ġpol ice", + "ĠSen ate", + "Ġ rom", + "Ġra il", + "Ġm id", + "Ġ193 3", + "a ign", + "Ġhim self", + "ĠR ail", + "ĠMiss ouri", + "b our", + "Ġmean ing", + "ĠJack son", + "or es", + "Ġfail ure", + "Ġm inist", + "Ġtem per", + "ĠB ig", + "T V", + "ul f", + "ĠS ar", + "or f", + "Ġcomp let", + "ĠAs ian", + "Ġjournal ist", + "n es", + "o ch", + "le g", + "Ġ194 3", + "ĠLat in", + "ĠT im", + "Ġfor ces", + "Ġcult ure", + "ov a", + "ĠC zech", + "Ġg ive", + "ĠD isc", + "ĠPhil ipp", + "ĠEn ter", + "ĠO b", + "Ġl ik", + "ĠF C", + "Ġtrans l", + "ĠMex ican", + "ir es", + "Ġpl ant", + "Ġ195 5", + "Ġmov e", + "Ġre qu", + "ow ers", + "Ġvar ious", + "Ġlaw y", + "ar io", + "ĠL ater", + "ecut ive", + "Ġ i", + "ian o", + "ĠIs lands", + "y e", + "ĠG al", + "v iron", + "g ar", + "iv ely", + "Ġt est", + "Ġc ause", + "ĠV er", + "Ġ8 0", + "yn ast", + "Ġle t", + "Ġ193 5", + "Ġmanag er", + "Ġ192 8", + "ir a", + "Ġg irl", + "ĠH ockey", + "Ġ193 1", + "Ġsy mb", + "Ġn etwork", + "ĠCatal ina", + "Ġj ob", + "it te", + "ĠS ir", + "Ġgro und", + "ĠE s", + "Ġa verage", + "Ġl iter", + "it ive", + "Ġac ross", + "Ġbuild ings", + "ĠAcc ording", + "Ġrecord ed", + "Ġl im", + "ĠTw o", + "Ġt ry", + "20 10", + "Ġb ad", + "ĠBro wn", + "Ġin stead", + "ĠO ver", + "Ġperform ed", + "Ġ193 7", + "ĠU r", + "Ġcon c", + "Ġst orm", + "L S", + "Ġt akes", + "ĠT ime", + "ĠJ ean", + "ĠU E", + "ĠEd uc", + "Ġarr ondiss", + "Ġ6 0", + "Ġprod uct", + "Ġcent ral", + "ĠM P", + "h ar", + "eth ing", + "ĠP ac", + "Ġcurrent ly", + "ĠH aw", + "Ġprot ect", + "i os", + "Ġtra vel", + "ĠF ox", + "g g", + "as c", + "Ġex ist", + "Ġmain ly", + "ĠO ld", + "199 6", + "Ġb ar", + "ab ly", + "ĠF ar", + "Ġme as", + "Ġm aterial", + "f ace", + "p ed", + "Ġcl aim", + "ĠC SS", + "Ġtown s", + "and a", + "ec k", + "ĠU nd", + "ste in", + "ĠC am", + "ĠM o", + "ĠK e", + "Ġro les", + "eth od", + "ĠSec ond", + "Ġcr ime", + "Ġdest roy", + "l anguage", + "Ġun ivers", + "ĠM inn", + "ĠL uc", + "Ġam ount", + "Ġ195 3", + "Ġp ark", + "ĠT od", + "Ġhe alth", + "Ġ193 2", + "j a", + "Ġs ug", + "199 5", + "Ġw ind", + "Ġmov ement", + "Ġrel ations", + "ab eth", + "Ġe ither", + "Ġpro per", + "az ine", + "ades h", + "Ġse ats", + "Ġ18 0", + "Ġc ertain", + "Ġn orm", + "st ron", + "Ġrec ogn", + "Ġw he", + "O R", + "Ġbl ood", + "ĠSc ient", + "t ime", + "Ġmon ths", + "Ġe at", + "rem e", + "ĠA p", + "ĠW ood", + "Ġch urch", + "Ġv iew", + "k o", + "Ġhelp ed", + "Ġse ven", + "Ġm ight", + "our ce", + "Ġwest ern", + "iv id", + "Ġcl ose", + "Ġ192 6", + "Ġb all", + "pec ially", + "Ġc reat", + "Ġchem ical", + "Ġstruct ures", + "Ġarch itect", + "y ear", + "ĠI owa", + "Ġal ways", + "isc o", + "ĠSt ep", + "Ġs it", + "Ġv ict", + "Ġbroad cast", + "Un ited", + "ĠD ire", + "ĠSp ring", + "air s", + "Ġc ase", + "Ġc at", + "8 9", + "N A", + "i h", + "ang er", + "end ing", + "Ġwrit ing", + "ent ion", + "ĠSt reet", + "Ġre ached", + "ĠSecret ary", + "Ġp ast", + "ĠCl ass", + "el d", + "Ġ ident", + "ad ium", + "Ġon ce", + "w an", + "Ġg e", + "Ġ192 7", + "Ġcomp anies", + "Ġto day", + "Ġprod uction", + "Ġ( ,", + "Ġcand id", + "ur ther", + "Ġde g", + "7 5", + "Ġe ight", + "ĠNob el", + "al i", + "ĠJ ud", + "end s", + "ĠH ill", + "oin ts", + "ĠBu ild", + "Ġfour th", + "ak i", + "ĠAn ton", + "ĠSoc ial", + "Ġm urder", + "ĠPol and", + "ĠS ub", + "ĠB ad", + "Ġnum bers", + "ĠMich igan", + "Ġsh own", + "Ġanim ated", + "Ġcompet ed", + "viron ment", + "Ġrepl aced", + "um ents", + "Ġp e", + "st ant", + "Ġt ree", + "ĠOr der", + "Ġc anton", + "Ġpain ter", + "uck y", + "Ġin h", + "Ġp ress", + "i as", + "emb ly", + "ĠO ut", + "ĠB efore", + "Ġpro p", + "Ġmon th", + "ĠA re", + "Ġide a", + "ĠSp orts", + "ĠH ind", + "us e", + "Ġgo al", + "Ġt alk", + "Ġcap t", + "ibr ary", + "Ġc ard", + "Ġdevelop ment", + "if t", + "ĠIn t", + "Ġsign ed", + "Ġre v", + "ĠUn ivers", + "ĠL u", + "Ġ7 0", + "ĠC areer", + "Ġin vent", + "Ġso ft", + "rem ier", + "Ġchang es", + "Ġc itiz", + "c el", + "Ġh ot", + "Ġcom ed", + "ĠGold en", + "Ġprogram s", + "Ġc ourt", + "ut y", + "Ġc ross", + "ĠK enn", + "iet n", + "um e", + "ed s", + "ĠW al", + "7 2", + "ĠBrit ain", + "ĠS erv", + "o is", + "ent h", + "ĠD ar", + "Ġre act", + "ĠSer ies", + "ĠSoc iety", + "Ġdec ided", + "ynast y", + "ĠAl b", + "at re", + "Ġde ad", + "Ġun iversity", + "Ġstud ents", + "ĠT enn", + "ĠInstit ute", + "ĠAn im", + "ĠMc C", + "Ġprom ot", + "Ġin j", + "ĠY oung", + "id ge", + "Ġan cient", + "Ġp ract", + "Ġo x", + "Ġd er", + "tern et", + "Ġn ight", + "Ġrele ase", + "ĠTe am", + "ĠM iddle", + "ĠB av", + "Ġpro ject", + "Ġ192 5", + "I n", + "ĠS and", + "id ence", + "ĠOr gan", + "Ġreturn ed", + "Ġ !", + "Ġar rest", + "ĠR ome", + "ok e", + "oc i", + "ĠAtl antic", + "s en", + "Ġp ay", + "Ġl ittle", + "ĠL y", + "or a", + "Ġes pecially", + "em p", + "Ġgo es", + "Ġb oy", + "ĠB usiness", + "es ota", + "ogra pher", + "Ġpre vious", + "Ġadd ed", + "Ġin side", + "Ġ9 0", + "Ġout side", + "ur d", + "Ġj ud", + "ed ia", + "om er", + "ip l", + "Ġear l", + "Ġgr adu", + "ĠThe n", + "at i", + "ĠF e", + "ĠRepresent atives", + "in ces", + "Ġf iction", + "Ġb attle", + "ĠMus lim", + "ĠL ittle", + "Ġindepend ent", + "Ġf ig", + "ĠB ab", + "st ra", + "ĠG ood", + "ĠAb out", + "ĠM ax", + "ĠV ietn", + "anc he", + "ask a", + "ul ation", + "ĠW ork", + "ĠMinn esota", + "ĠP ress", + "ate g", + "199 4", + "Ġper forman", + "Ġallow ed", + "ĠDep artment", + "Ġbas eball", + "8 6", + "Ġs en", + "Ġdr ug", + "Ġf all", + "Ġf re", + "Ġmunicipal ities", + "ĠE ver", + "Ġart ists", + "Ġlead ers", + "ĠE p", + "ĠS a", + "ĠM ah", + "Ġh om", + "Ġb ox", + "ĠG h", + "Ġsom ething", + "Ġen ough", + "Ġf if", + "m ond", + "Ġla un", + "eng th", + "Ġnomin ated", + "Ġcan not", + "r ich", + "Ġmount ain", + "Ġsouth west", + "Ġra p", + "al so", + "ĠP ers", + "un s", + "Ġme et", + "Ġf ront", + "Ġinter est", + "Ġrel ated", + "Ġfor ce", + "l ah", + "ĠT our", + "ĠAr men", + "ĠComp any", + "p eople", + "ĠWrest ling", + "ĠFranc isco", + "Ġres earch", + "ic ular", + "ri z", + "ad el", + "Ġposs ible", + "Ġb oard", + "8 5", + "ost on", + "Ġthe ory", + "is ing", + "ound s", + "w in", + "Ġsystem s", + "ĠW ay", + "Ġse qu", + "ĠJ ac", + "ĠB ul", + "Ġc ele", + "ĠR on", + "ĠF er", + "ĠD uke", + "h in", + "Ġa th", + "ĠColumb ia", + "ĠP ictures", + "ĠG ram", + "Ġpar ents", + "Ġband s", + "Ġair craft", + "ĠN az", + "ĠEnter tain", + "Ġfriend s", + "itte e", + "Ġ192 4", + "Ġactiv ist", + "ĠLouis iana", + "it ing", + "Ġgo ing", + "ĠV an", + "est ab", + "iz ations", + "ĠAlex ander", + "ag ed", + "Ġc oll", + "ĠF orm", + "Ġv ir", + "iv ate", + "C A", + "Ġorigin ally", + "Ġst ay", + "Ġear th", + "ĠT re", + "rat ive", + "ĠE lect", + "in son", + "c an", + "Ġra c", + "Ġwee k", + "ĠP LS", + "ĠAir port", + "Ġ19 22", + "ad d", + "hes s", + "ay er", + "ĠLe on", + "Ġm em", + "ĠSp ec", + "Ġt ropical", + "p ly", + "199 3", + "ĠWind ows", + "ay a", + "Ġlong er", + "ĠFootball ers", + "il ly", + "ar g", + "ĠA D", + "Ġres ults", + "ĠBi ography", + "in cess", + "is ions", + "j i", + "ien ces", + "Ġbre ak", + "ut s", + "7 4", + "Ġd ig", + "am i", + "Ġnorth west", + "r as", + "ing er", + "ĠF ame", + "Ġse asons", + "ĠE astern", + "ens ive", + "ĠCh ief", + "Ġgr and", + "im b", + "lah oma", + "Ġsh oot", + "m in", + "Ġr en", + "GB T", + "Ġcamp aign", + "ĠI d", + "ĠFam ily", + "7 9", + "us es", + "Ġre view", + "ail able", + "ĠH istor", + "y an", + "z o", + "ĠCh ild", + "Ġp ur", + "ĠP erson", + "h ood", + "ĠN ight", + "if y", + "Ġl ove", + "Ġfin ished", + "ĠOk lahoma", + "v a", + "Ġc rick", + "ĠM u", + "ĠSh ow", + "ĠJ eff", + "Ġc ell", + "Ġs ize", + "Ġ192 3", + "il a", + "um m", + "Ġold est", + "or ial", + "Ġm ale", + "olit an", + "ĠT am", + "ĠC ub", + "Ġdiv ided", + "ĠM ajor", + "0 5", + "c est", + "Ġepis odes", + "ĠD et", + "id ae", + "ro wn", + "/ /", + "w ar", + "or g", + "ra ine", + "Ġ19 00", + "ĠB oston", + "ĠL ong", + "7 6", + "Ġm iss", + "ou d", + "ĠChar l", + "Ġhow ever", + "ĠAr k", + "Ġd oc", + "ĠA k", + "val ue", + "s ort", + "ĠCh ile", + "p resent", + "ĠWar s", + "ĠM em", + "Ġh ospital", + "Ġle ague", + "Ġpro b", + "ĠN ord", + "l av", + "ĠPac ific", + "ut t", + "Ġmed ia", + "Ġm ach", + "ĠEl iz", + "ĠTok yo", + "ra ck", + "ĠM att", + "ĠWh ile", + "Ġb o", + "Ġe astern", + "Ġcon v", + "Ġgo als", + "ĠL GBT", + "Ġ er", + ": //", + "Ġcy cl", + "ĠWW E", + "Ġelect ric", + "Ġw id", + "ĠP ope", + "el le", + "Ġperson al", + "Ġch ampionship", + "Ġnew sp", + "enc ed", + "ĠO cean", + "ĠB al", + "Ġqu ick", + "l ers", + "ĠNew s", + "ain ing", + "ac hes", + "um i", + "Ġcontin ued", + "Ġeduc ation", + "ĠR ay", + "ĠBer lin", + "Ġl o", + "Ġc ases", + "Ġp sych", + "ĠMar ia", + "ĠL i", + "ĠJohn son", + "Ġm ethod", + "Ġsup er", + "ĠG ame", + ". )", + "el a", + "Ġac adem", + "ĠN ick", + "Ġst ations", + "Ġf ac", + "ĠC a", + "Ġ ;", + "Ġs uff", + "ĠSt e", + "Ġsmall er", + "Ġlaw s", + "0 6", + "ĠRo ad", + "Ġbelie ved", + "it o", + "writ ers", + "ur ity", + "Ġform s", + "ĠP as", + "Ġaward ed", + "ic ult", + "Ġlawy er", + "th ur", + "w ith", + "ĠT a", + "ut ure", + "Ġacc ident", + "Ġfeat ures", + "ch an", + "Ġdisc overed", + "Ġb order", + "Ġcrit ic", + "ĠJ un", + "ĠI v", + "Ġserv ices", + "ĠN ations", + "ĠG irl", + "Ġcl os", + "g u", + "ri age", + "Ġro ad", + "Ġn uc", + "ĠD ef", + "ĠP o", + "Ġd og", + "ĠC op", + "Ġl ower", + "ĠBel gian", + "r ay", + "Ġav ailable", + "in et", + "em ic", + "ĠS qu", + "20 11", + "ĠC amb", + "ĠN a", + "ĠJ oe", + "ĠDan iel", + "ĠS outhern", + "ĠReg ion", + "Ġran ge", + "Ġh app", + "ot al", + "ĠE nd", + "Ġcaus es", + "ĠAl bert", + "ĠSt at", + "il i" + ] + } +} \ No newline at end of file diff --git a/trainers/data_utils.py b/trainers/data_utils.py index 4fb4df9f..b987303d 100644 --- a/trainers/data_utils.py +++ b/trainers/data_utils.py @@ -115,7 +115,6 @@ def load_data(dataset_names, shuffle=True): dataset = DATASET_DICT[dataset_name]() datasets_list.append(dataset["train"]) - input(dataset) # Concatenate datasets if there are multiple datasets if len(datasets_list) > 1: combined_dataset = concatenate_datasets(datasets_list) From 8cc578fc2ee770be398d402098b767f2390938f9 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 11 Oct 2024 10:53:37 +0800 Subject: [PATCH 198/209] wip --- configs/train/debugging.yaml | 5 +- evals/__init__.py | 23 +++- evals/benchmark_registry.py | 5 +- evals/benchmarks/yield_functions.py | 42 ++++++- evals/core.py | 4 + evals/evaluators/__init__.py | 3 +- evals/evaluators/free_form_evaluator.py | 0 .../evaluator.py => mcq_evaluator.py} | 7 +- evals/evaluators/text_generation_evaluator.py | 16 +++ evals/evaluators/text_modeling_evaluator.py | 96 ++++++++++++++++ evals/model_wrappers.py | 100 ++++++++++++++++- models/model_shell.py | 9 +- trainers/base_trainer.py | 19 ++-- trainers/evaluator.py | 104 ++++-------------- 14 files changed, 328 insertions(+), 105 deletions(-) create mode 100644 evals/evaluators/free_form_evaluator.py rename evals/evaluators/{mcq_evaluator/evaluator.py => mcq_evaluator.py} (85%) create mode 100644 evals/evaluators/text_generation_evaluator.py create mode 100644 evals/evaluators/text_modeling_evaluator.py diff --git a/configs/train/debugging.yaml b/configs/train/debugging.yaml index 7756ef9b..672a5d7f 100644 --- a/configs/train/debugging.yaml +++ b/configs/train/debugging.yaml @@ -53,9 +53,10 @@ trainer: eval: benchmarks: + - STLM-Text-Modeling (full) - ArcEasy - ArcEasySubset - - ArcEasyLinearSubset + # - ArcEasyLinearSubset @@ -104,7 +105,7 @@ trainer: general: logging: - wandb_log: true + wandb_log: false wandb_project: SuperTinyLanguageModels wandb_run_name: Null group_name: base_group diff --git a/evals/__init__.py b/evals/__init__.py index e362aaee..4c110596 100644 --- a/evals/__init__.py +++ b/evals/__init__.py @@ -11,7 +11,7 @@ from evals.benchmarks.yield_functions import * -from evals.model_wrappers import LoglikelihoodMCQModelWrapper +from evals.model_wrappers import * # Register the MCQ benchmarks @@ -52,7 +52,26 @@ # Register the text-modeling benchmarks - +register( + id="STLM-Text-Modeling (full)", + entry_point="evals.evaluators:TextModelingEvaluator", + model_wrapper=TextModelingModelWrapper, + yield_fn=load_stlm_synthetic_text_modeling, + yield_fn_params={ + "topics": None, + "difficulties": None # i.e. full dataset + } +) +register( + id="STLM-Text-Modeling (Science-Hard)", + entry_point="evals.evaluators:TextModelingEvaluator", + model_wrapper=TextModelingModelWrapper, + yield_fn=load_stlm_synthetic_text_modeling, + yield_fn_params={ + "topics": ["Science"], + "difficulties": ["Hard"] # i.e. full dataset + } +) diff --git a/evals/benchmark_registry.py b/evals/benchmark_registry.py index 117304cb..f64240e9 100644 --- a/evals/benchmark_registry.py +++ b/evals/benchmark_registry.py @@ -71,7 +71,10 @@ def make(env_id: str, **kwargs) -> Any: env_class = env_spec.entry_point # Pass additional keyword arguments - return env_class(**{**env_spec.kwargs, **kwargs}) + env = env_class(**{**env_spec.kwargs, **kwargs}) + # set id + env.set_env_id(env_id=env_id) + return env diff --git a/evals/benchmarks/yield_functions.py b/evals/benchmarks/yield_functions.py index 953bea52..22fcfc29 100644 --- a/evals/benchmarks/yield_functions.py +++ b/evals/benchmarks/yield_functions.py @@ -4,6 +4,7 @@ import numpy as np from datasets import load_dataset from tqdm import tqdm +from typing import Optional, List def get_idx_list(dataset_length, num_samples, seed=None, verbose=True): """ @@ -20,7 +21,7 @@ def get_idx_list(dataset_length, num_samples, seed=None, verbose=True): ).tolist() if verbose: - idx_list = tqdm(idx_list, desc="Loading PIQA samples") + idx_list = tqdm(idx_list, desc="Evaluating samples") return idx_list @@ -327,3 +328,42 @@ def load_ewok(num_samples=None, seed=None): ) + +# Text Modeling yield functions +def load_stlm_synthetic_text_modeling( + topics: Optional[List[str]] = None, + difficulties: Optional[List[str]] = None, + verbose: Optional[bool] = True, +): + """ + Load the STLM text modeling evaluation set and optionally subsample based on topic and difficulty. + + Args: + topic (Optional[List[str]]): List of topics to include. If None, all topics are included. + difficulty (Optional[List[str]]): List of difficulty levels to include. If None, all difficulty levels are included. + + Yields: + str: Text samples from the dataset that match the specified criteria. + + Dataset Source: + https://huggingface.co/datasets/SuperTinyLanguageModels/text-modeling-eval + """ + # Load the dataset + dataset = load_dataset("SuperTinyLanguageModels/text-modeling-eval")["train"] + + # Apply filtering based on topics if provided + if topics is not None: + dataset = dataset.filter(lambda example: example["topic"] in topics) + + # Apply filtering based on difficulties if provided + if difficulties is not None: + dataset = dataset.filter(lambda example: example["difficulty"] in difficulties) + + if verbose: + iterator = tqdm(dataset, desc="Evaluating Text Modeling samples") + else: + iterator = dataset + + # Yield the 'text' field from each filtered sample + for sample in iterator: + yield sample["text"] \ No newline at end of file diff --git a/evals/core.py b/evals/core.py index ebed7596..8a7ac95c 100644 --- a/evals/core.py +++ b/evals/core.py @@ -8,6 +8,10 @@ def __init__(self) -> None: self.eval_metric: str = ... self.eval_logging_path: str = ... + def set_env_id(self, env_id: str) -> None: + """ TODO """ + self.env_id = env_id + def evaluate(self, model): # -> Dict[str: Any]: """Each evaluator must implement its own evaluate method.""" raise NotImplementedError("Each evaluator must implement its own evaluate method.") diff --git a/evals/evaluators/__init__.py b/evals/evaluators/__init__.py index bc3d6283..f9e0d617 100644 --- a/evals/evaluators/__init__.py +++ b/evals/evaluators/__init__.py @@ -1 +1,2 @@ -from evals.evaluators.mcq_evaluator.evaluator import MCQEvaluator \ No newline at end of file +from evals.evaluators.mcq_evaluator import MCQEvaluator +from evals.evaluators.text_modeling_evaluator import TextModelingEvaluator \ No newline at end of file diff --git a/evals/evaluators/free_form_evaluator.py b/evals/evaluators/free_form_evaluator.py new file mode 100644 index 00000000..e69de29b diff --git a/evals/evaluators/mcq_evaluator/evaluator.py b/evals/evaluators/mcq_evaluator.py similarity index 85% rename from evals/evaluators/mcq_evaluator/evaluator.py rename to evals/evaluators/mcq_evaluator.py index bb9f3adb..fdeb11a0 100644 --- a/evals/evaluators/mcq_evaluator/evaluator.py +++ b/evals/evaluators/mcq_evaluator.py @@ -12,7 +12,7 @@ def __init__( yield_fn: Callable, model_wrapper: BaseModelWrapper, yield_fn_params: Optional[Dict[str, Any]] = None, - eval_metric: Optional[str] = "Acc.", + eval_metric: Optional[str] = "Acc", eval_logging_path: Optional[str] = "MCQ", ): super().__init__() @@ -24,6 +24,9 @@ def __init__( self.yield_fn = yield_fn(**yield_fn_params) self.model_wrapper = model_wrapper + # def set_env_id(self, env_id: str) -> None: + # """ TODO """ + # self.env_id = env_id def evaluate(self, model): """ @@ -43,7 +46,7 @@ def evaluate(self, model): total += 1 accuracy = correct / total if total > 0 else 0 return { - f"{self.eval_logging_path}/{self.benchmark_spec.name}-{self.eval_metric}": accuracy + f"{self.eval_logging_path}/{self.env_id}-{self.eval_metric}": accuracy } diff --git a/evals/evaluators/text_generation_evaluator.py b/evals/evaluators/text_generation_evaluator.py new file mode 100644 index 00000000..f3a2353c --- /dev/null +++ b/evals/evaluators/text_generation_evaluator.py @@ -0,0 +1,16 @@ +import torch +from evals.core import BaseModelWrapper +from typing import Callable, List, Dict, Any + +class TextGenerationEvaluator: + def __init__( + self, + model_wrapper: BaseModelWrapper, + yield_fn: Callable, + yield_fn_params: Optional[Dict[str, Any]] = None, + eval_metric: Optional[str] = "LLM-PPL", + eval_logging_path: Optional[str] = "Text Generation" + ): + super().__init__() + pass + # TODO \ No newline at end of file diff --git a/evals/evaluators/text_modeling_evaluator.py b/evals/evaluators/text_modeling_evaluator.py new file mode 100644 index 00000000..e4631ae8 --- /dev/null +++ b/evals/evaluators/text_modeling_evaluator.py @@ -0,0 +1,96 @@ +from evals.core import BaseEvaluator, BaseModelWrapper +from typing import Optional, Callable, Dict, Any +from tqdm import tqdm +import torch + +# Define the metrics and their computations +METRIC_EVALUATIONS = { + "Byte Acc.": lambda results_dict: ( + results_dict["total_correct_bytes"] / results_dict["total_bytes"] + if results_dict["total_bytes"] > 0 else 0.0 + ), + "Perplexity": lambda results_dict: ( + torch.exp(torch.tensor(results_dict["total_loss"] / results_dict["total_tokens"])).item() + if results_dict["total_tokens"] > 0 else float('inf') + ), + "Levenshtein": lambda results_dict: ( + results_dict["total_edit_distance"] / results_dict["total_bytes"] + if results_dict["total_bytes"] > 0 else float('inf') + ), +} + +class TextModelingEvaluator(BaseEvaluator): + """Evaluator for text modeling capabilities.""" + + def __init__( + self, + model_wrapper: BaseModelWrapper, + yield_fn: Callable, + yield_fn_params: Optional[Dict[str, Any]] = None, + chunk_size: Optional[int] = 100, + eval_metric: Optional[str] = "Byte Acc.", + eval_logging_path: Optional[str] = "Text Modeling" + ): + super().__init__() + self.eval_metric = eval_metric + self.eval_logging_path = eval_logging_path + self.model_wrapper = model_wrapper + self.yield_fn = yield_fn(**(yield_fn_params or {})) + self.chunk_size = chunk_size + + # Assert correct parameters + assert self.eval_metric in METRIC_EVALUATIONS, ( + f"Provided metric '{self.eval_metric}' for Text Modeling Eval is not available. " + f"Options are: {list(METRIC_EVALUATIONS.keys())}" + ) + + def evaluate(self, model): + """ + Evaluate the model's text modeling capabilities. + + Args: + model: The model to be evaluated. + + Returns: + Dict[str, float]: A dictionary with the evaluation results. + """ + # Wrap the model using the provided model wrapper + model = self.model_wrapper(model, chunk_size=self.chunk_size) + + results = { + "total_bytes": 0, + "total_correct_bytes": 0, + "total_edit_distance": 0, + "total_loss": 0.0, + "total_tokens": 0 + } + + # Iterate over the reference texts + iterator = self.yield_fn + + for reference_text in tqdm(iterator, desc="Evaluating Text Modeling"): + # The wrapped model will return a dict with + # bytes, correct_bytes, edit_distance, loss, tokens + local_results = model(reference_text) + # Expected to return: + # { + # 'edit_distance': total_edit_distance, + # 'correct_bytes': total_correct_bytes, + # 'bytes': total_bytes, + # 'loss': total_loss, + # 'tokens': total_tokens + # } + + # Accumulate results + results["total_bytes"] += local_results["bytes"] + results["total_correct_bytes"] += local_results["correct_bytes"] + results["total_edit_distance"] += local_results["edit_distance"] + results["total_loss"] += local_results["loss"] + results["total_tokens"] += local_results["tokens"] + + # Compute the final metric + final_metric_value = METRIC_EVALUATIONS[self.eval_metric](results) + + return { + f"{self.eval_logging_path}/{self.eval_metric}": final_metric_value + } diff --git a/evals/model_wrappers.py b/evals/model_wrappers.py index 52dcbe61..9e6cc547 100644 --- a/evals/model_wrappers.py +++ b/evals/model_wrappers.py @@ -1,7 +1,9 @@ import torch +from Levenshtein import distance as levenshtein_distance from evals.core import BaseModelWrapper +from itertools import zip_longest -from typing import List +from typing import List, Dict, Any def batch(data, batch_size): @@ -30,8 +32,102 @@ def __call__( for prefix_batch, cont_batch in zip( batch(prefixes, 32), batch(continuations, 32) # TODO (legacy) should not be hardcoded ): - ll = self.model_shell.loglikelihood(prefix_batch, cont_batch) + ll = self.model.loglikelihood(prefix_batch, cont_batch) results.extend(ll.cpu().numpy()) return results +class TextModelingModelWrapper(BaseModelWrapper): + """ TODO """ + def __init__(self, model, chunk_size): + """ TODO """ + super().__init__() + self.model = model + self.device = model.device + self.chunk_size = chunk_size + + self.encoding_function = self.model.embedding_model.tokenize_input + self.decoding_function = self.model.embedding_model.decode + + def _split_into_chunks(self, text): + """ + Split the text into chunks of 'chunk_size' words. + """ + words = text.split() + return [' '.join(words[i:i + self.chunk_size]) for i in range(0, len(words), self.chunk_size)] + + @torch.no_grad() + def _process_chunk(self, chunk): + """ TODO """ + input_ids = self.encoding_function(chunk) + + input_ids = torch.tensor(input_ids).unsqueeze(0).to(self.model.device) + + logits, _ = self.model(token_ids=input_ids) + + # Shift the input tokens to align them with the predicted tokens + shift_labels = input_ids[:, 1:].contiguous() + shift_logits = logits[:, :-1, :].contiguous() + + # Get the predicted tokens (the ones with the highest logit) + predicted_token_ids = torch.argmax(shift_logits, dim=-1) + + return shift_labels, predicted_token_ids, shift_logits + + @torch.no_grad() + def __call__(self, reference_text: str) -> Dict[str, Any]: + """ + Process the reference text and compute metrics. + + Args: + reference_text (str): The text to process. + + Returns: + Dict[str, Any]: A dictionary containing metrics. + """ + # Split the input text into chunks + chunks = self._split_into_chunks(reference_text) + + # Initialize accumulators + total_edit_distance = 0 + total_bytes = 0 + total_correct_bytes = 0 + total_loss = 0.0 + total_tokens = 0 + + for chunk in chunks: + shift_labels, predicted_token_ids, shift_logits = self._process_chunk(chunk) + + # Decode input and predicted tokens + input_text = ''.join(self.decoding_function([shift_labels.squeeze(0).cpu().tolist()])) + predicted_text = ''.join(self.decoding_function([predicted_token_ids.squeeze(0).cpu().tolist()])) + + # Encode texts to bytes + input_bytes = input_text.encode("utf-8") + predicted_bytes = predicted_text.encode("utf-8") + + # Calculate Levenshtein distance + total_edit_distance += levenshtein_distance(input_bytes, predicted_bytes) + + # Calculate byte accuracy + for input_byte, predicted_byte in zip_longest(input_bytes, predicted_bytes): + if input_byte == predicted_byte: + total_correct_bytes += 1 + total_bytes += 1 + + # Calculate loss (negative log-likelihood) + shift_logits = shift_logits.view(-1, shift_logits.size(-1)) # Shape: (seq_len - 1, vocab_size) + shift_labels = shift_labels.view(-1) # Shape: (seq_len - 1) + loss_fct = torch.nn.CrossEntropyLoss(reduction='sum') + loss = loss_fct(shift_logits, shift_labels) + total_loss += loss.item() + total_tokens += shift_labels.numel() + + # Return accumulated results + return { + 'edit_distance': total_edit_distance, + 'correct_bytes': total_correct_bytes, + 'bytes': total_bytes, + 'loss': total_loss, + 'tokens': total_tokens + } \ No newline at end of file diff --git a/models/model_shell.py b/models/model_shell.py index 403fa63a..0cba3456 100644 --- a/models/model_shell.py +++ b/models/model_shell.py @@ -103,7 +103,14 @@ def loglikelihood(self, prefixes, continuations): total_strings = [f"{prefix} {cont}" for prefix, cont in zip(prefixes, continuations)] input_tokens = [self.embedding_model.tokenize_input(string, truncate=True) for string in total_strings] padded_batch, mask = self.embedding_model.pad_batch(input_tokens, direction="right") - input_tensor = torch.tensor(padded_batch, device=self.device, dtype=torch.long) + # Check if padded_batch is already a tensor + if isinstance(padded_batch, torch.Tensor): + input_tensor = padded_batch.to(device=self.device, dtype=torch.long) + else: + # If padded_batch is a list or another type, convert it to a tensor + input_tensor = torch.tensor(padded_batch, device=self.device, dtype=torch.long) + + # input_tensor = torch.tensor(padded_batch, device=self.device, dtype=torch.long) logits, _ = self.forward(input_tensor) logits = logits[:, :-1].reshape(-1, logits.size(-1)) target_tensor = input_tensor[:, 1:].reshape(-1) diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index dcd59dea..8c9eeca3 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -162,7 +162,8 @@ def _setup_ctx(self): def _setup_scaler(self, dtype=torch.float16): """Setup the scaler""" - self.scaler = torch.cuda.amp.GradScaler(enabled=dtype == torch.float16) + # self.scaler = torch.cuda.amp.GradScaler(enabled=dtype == torch.float16) + self.scaler = torch.amp.GradScaler(self.model.device, enabled=dtype == torch.float16) @torch.no_grad() @@ -287,14 +288,14 @@ def estimate_performance(self, iter_num, eval_iters=None): # ) # }) - # get the free form eval results - eval_results.update( - train_free_form( - model=self.model, - num_samples=self.cfg["trainer"]["eval"].get("free_form_num_sampels", None), - benchmark_list=self.cfg["trainer"]["eval"].get("free_form_benchmarks", []) - ) - ) + # # get the free form eval results + # eval_results.update( + # train_free_form( + # model=self.model, + # num_samples=self.cfg["trainer"]["eval"].get("free_form_num_sampels", None), + # benchmark_list=self.cfg["trainer"]["eval"].get("free_form_benchmarks", []) + # ) + # ) diff --git a/trainers/evaluator.py b/trainers/evaluator.py index 21002af8..99516e25 100644 --- a/trainers/evaluator.py +++ b/trainers/evaluator.py @@ -3,87 +3,23 @@ from tqdm import tqdm def intra_training_evaluation(model, benchmarks): - for benchmark in tqdm(benchmarks, desc=f"Evaluating {benchmark}"): - print(benchmark) - benchmark_evaluator = evals.make(benchmark) - print(benchmark_evaluator) - input(benchmark_evaluator.evaluate(model=model, verbose=verbose)) - - - - - - - -# from evals import ( -# MCQEvaluator, -# TextModelingEvaluator, -# TextGenerationEvaluator, -# MathWordProblemEvaluator -# ) - - -# def train_eval_mcq(model, num_samples, benchmark_list): -# """ Create and run the MCQ evaluator """ -# # wrap so failure doesn't crash the full run -# try: -# # load the MCQ evaluator -# evaluator = MCQEvaluator( -# model=model, -# num_samples=num_samples, -# benchmark_list=benchmark_list, -# ) -# # run the evaluator -# return evaluator.evaluate() -# except Exception as exc: -# print(f"The MCQ evaluator failed: {exc}") -# return {} - - - -# def train_eval_text_modeling(model, topic_list): -# """ Test the model """ -# # wrap so failure doesn't crash the full run -# try: -# # load the Text Modeling evaluator -# evaluator = TextModelingEvaluator( -# model=model, -# topic_list=topic_list, -# ) -# # run the evaluator -# return evaluator.evaluate() -# except Exception as exc: -# print(f"The text modeling evaluator failed: {exc}") -# return {} - - -# def train_eval_text_generation(model): -# """ Test the model stext generation capability """ -# # wrap so failure doesn't crash the full run -# try: -# # load the Text Generation evaluator -# evaluator = TextGenerationEvaluator( -# model=model -# ) - -# # run the evaluator -# return evaluator.evaluate() -# except Exception as exc: -# print(f"The text generation evaluator failed: {exc}") -# return {}, "" - -# def train_free_form(model, num_samples, benchmark_list): -# """ Create and run the free form evaluator """ -# # wrap so failure doesn't crash the full run -# # try: -# # load the free form evaluator -# evaluator = MathWordProblemEvaluator( -# model=model, -# num_samples=num_samples, -# benchmark_list=benchmark_list -# ) - -# return evaluator.evaluate() -# # except Exception as exc: -# # print(f"The free form evaluator failed: {exc}") -# # return {}, "" \ No newline at end of file + """ + Evaluates the model on multiple benchmarks during training. + + Args: + model: The model to evaluate. + benchmarks List[str]: A list of benchmark names to evaluate the model on. + """ + results_dict = {} + + # Outer progress bar for benchmarks + with tqdm(benchmarks, desc="Evaluating benchmarks", position=0, leave=True) as benchmark_bar: + for benchmark in benchmark_bar: + # Create the benchmark evaluator + benchmark_evaluator = evals.make(benchmark) + + # Evaluating within the benchmark, tqdm already exists in the yield function + results = benchmark_evaluator.evaluate(model=model) + results_dict.update(results) + + return results_dict \ No newline at end of file From 8a293261005f5664275c6363af3ba843add9024a Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 11 Oct 2024 12:39:34 +0800 Subject: [PATCH 199/209] wip --- configs/train/baseline-100m.yaml | 4 ++-- evals/__init__.py | 3 +++ evals/evaluators/free_form_evaluator.py | 8 ++++++++ evals/evaluators/mcq_evaluator.py | 3 --- 4 files changed, 13 insertions(+), 5 deletions(-) diff --git a/configs/train/baseline-100m.yaml b/configs/train/baseline-100m.yaml index 216f7648..7dedcda8 100644 --- a/configs/train/baseline-100m.yaml +++ b/configs/train/baseline-100m.yaml @@ -20,7 +20,7 @@ model: embedding_model_type: generic tokenizer_type: bpe - tokenizer_dataset_names: [en_wiki, MATH] + tokenizer_dataset_names: [en_wiki, MATH] # GSM8k tokenizer_simplify_data: true tokenizer_num_reserved_tokens: 20 vocab_size: 20000 @@ -40,7 +40,7 @@ model: trainer: trainer_type: base_trainer - dataset: MATH #[fineweb_edu_10B, MATH] + dataset: MATH #[fineweb_edu_10B, MATH] # GSM8k batch_size: 24 gradient_accumulation_steps: 20 diff --git a/evals/__init__.py b/evals/__init__.py index 4c110596..ec3aac78 100644 --- a/evals/__init__.py +++ b/evals/__init__.py @@ -74,6 +74,9 @@ ) +# Register the Free Form benchmarks + + diff --git a/evals/evaluators/free_form_evaluator.py b/evals/evaluators/free_form_evaluator.py index e69de29b..81060d98 100644 --- a/evals/evaluators/free_form_evaluator.py +++ b/evals/evaluators/free_form_evaluator.py @@ -0,0 +1,8 @@ +from evals.benchmarks.yield_functions import * + +from evals.core import BaseEvaluator, BaseModelWrapper +from typing import Optional, Callable, Dict, Any + + +class FreeFormEvaluator(BaseEvaluator): + """ Evaluator for free form \ No newline at end of file diff --git a/evals/evaluators/mcq_evaluator.py b/evals/evaluators/mcq_evaluator.py index fdeb11a0..d73f2199 100644 --- a/evals/evaluators/mcq_evaluator.py +++ b/evals/evaluators/mcq_evaluator.py @@ -24,9 +24,6 @@ def __init__( self.yield_fn = yield_fn(**yield_fn_params) self.model_wrapper = model_wrapper - # def set_env_id(self, env_id: str) -> None: - # """ TODO """ - # self.env_id = env_id def evaluate(self, model): """ From 8d089485e2ce28e7b01e824d5795722534b59f7c Mon Sep 17 00:00:00 2001 From: bobbycxy Date: Fri, 11 Oct 2024 12:43:40 +0800 Subject: [PATCH 200/209] added adaptive sampler with varentropy. Note the addition of attention_type in config --- configs/generate.yaml | 1 + configs/generator/adaptive_sampler.yaml | 49 +++ ...eight_tying_yes-hidden_512-vocab_1950.yaml | 1 + generate.py | 3 +- models/build_models.py | 10 +- models/components/attention.py | 21 +- models/components/transformer_blocks.py | 3 +- models/components/utils/__init__.py | 3 +- models/components/utils/attention_utils.py | 99 +++++ models/core_models.py | 7 + models/generator.py | 375 +++++++++++++++++- 11 files changed, 561 insertions(+), 11 deletions(-) create mode 100644 configs/generator/adaptive_sampler.yaml create mode 100644 models/components/utils/attention_utils.py diff --git a/configs/generate.yaml b/configs/generate.yaml index f4563ac2..90821ec5 100644 --- a/configs/generate.yaml +++ b/configs/generate.yaml @@ -2,5 +2,6 @@ defaults: - generator: beam_search - _self_ model_ckpt: "checkpoints/...pt" +attention_type: standard_detailed max_new_tokens: 200 input_text: "Earth is the third planet from the Sun and the only astronomical object known to harbor life. This is enabled by Earth being an ocean world, the only one in the Solar System sustaining liquid surface water." diff --git a/configs/generator/adaptive_sampler.yaml b/configs/generator/adaptive_sampler.yaml new file mode 100644 index 00000000..2351791b --- /dev/null +++ b/configs/generator/adaptive_sampler.yaml @@ -0,0 +1,49 @@ +generator_type: adaptive_sampler +# temperature: 1.2 +# top_k: 200 +max_new_tokens: 200 +beam_width: 15 +use_sampling: true +repetition_penalty: 1.2 +repetition_window: 32 +input_text: "Let's consider a simple Python program that adds two integers." + +temperature: 0.666 +top_p: 0.90 +top_k: 27 +min_p: 0.03 # Turn this down to 0.01 to reduce the shoggoth + +low_ent_thresh: 0.1 +low_vent_thresh: 0.1 +med_ent_thresh: 3.0 +high_ent_thresh: 5.0 +high_vent_thresh: 5.0 + +# TODO this is a bit of a nasty mess, but also makes all the hyperparameters visible +helv_attn_ent_offset: 1.3 +helv_attn_ent_coef: 0.2 + +lehv_interaction_strength_offset: 1.2 +lehv_interaction_strength_coef: 0.3 + +hehv_attn_ent_coef: 0.2 +hehv_attn_vent_offset: 2.0 +hehv_attn_vent_coef: 0.5 + +# TODO not convinced this should +n_adaptive_samples: 5 + +# Adaptive sampling parameters +ada_temp_logits: 0.3 +ada_temp_attn: 0.2 +ada_temp_agree: 0.2 +ada_top_p: 0.1 +ada_top_k_int: 0.3 +ada_top_k_agree: 0.2 +ada_min_p: 0.5 +ada_score_logits_ent: 0.1 +ada_score_attn_ent: 0.2 +ada_score_logits_vent: 0.3 +ada_score_attn_vent: 0.4 +ada_score_agree: 0.5 +ada_score_int: 0.6 \ No newline at end of file diff --git a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_512-vocab_1950.yaml b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_512-vocab_1950.yaml index cd8dd292..7a73a0d6 100644 --- a/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_512-vocab_1950.yaml +++ b/configs/train/baseline-vocab-size/10m-nv_1m-weight_tying_yes-hidden_512-vocab_1950.yaml @@ -33,6 +33,7 @@ model: lm_head_dropout: 0.0 model_shell_type: standard + attention_type: standard embedding_weight_tying: true ffn_weight_tying: false cproj_weight_tying: false diff --git a/generate.py b/generate.py index 4fed2b01..cf4196fb 100644 --- a/generate.py +++ b/generate.py @@ -20,7 +20,8 @@ def main(cfg): device = "cpu" if not torch.cuda.is_available() else "cuda" model, _ = build_model( checkpoint_path=cfg["model_ckpt"], - device=device + device=device, + attention_type=cfg["attention_type"] ) # put model into eval mode diff --git a/models/build_models.py b/models/build_models.py index c70c3c25..af2c17b3 100644 --- a/models/build_models.py +++ b/models/build_models.py @@ -3,7 +3,7 @@ core model, lm head and the model shell. """ import torch - +from omegaconf import OmegaConf from models.core_models import GenericTransformer @@ -25,7 +25,7 @@ ) -def build_model(model_cfg=None, checkpoint_path=None, device="cuda"): +def build_model(model_cfg=None, checkpoint_path=None, device="cuda", **kwargs): """ Either initialize or load a model, depending on whether a config or checkpoint was provided @@ -45,6 +45,12 @@ def build_model(model_cfg=None, checkpoint_path=None, device="cuda"): checkpoint_path, map_location=torch.device(device), ) + + # update the attention type if provided + if checkpoint["config"]["model"].get("attention_type", None) is None: + cfg = OmegaConf.create({"attention_type": f"{kwargs.get('attention_type', 'standard')}"}) + checkpoint['config']['model'] = OmegaConf.merge(cfg, checkpoint['config']['model']) + model = initialize_model(checkpoint["config"]["model"]) # load the model weights diff --git a/models/components/attention.py b/models/components/attention.py index edbf4ff1..5982cdb4 100644 --- a/models/components/attention.py +++ b/models/components/attention.py @@ -3,6 +3,7 @@ """ import torch +from models.components.utils.attention_utils import use_attention_type class Attention(torch.nn.Module): @@ -12,6 +13,7 @@ class Attention(torch.nn.Module): def __init__( self, + attention_type, hidden_dim, num_q_heads, num_kv_heads, @@ -26,6 +28,9 @@ def __init__( group_size = num_kv_heads // num_q_heads + # set the attention_type + self.attention_type = attention_type + # key, query, value projections for all heads self.c_attn = torch.nn.Linear( hidden_dim, hidden_dim + 2 * hidden_dim // group_size, bias=bias @@ -79,7 +84,8 @@ def forward(self, x, attention_mask=None): # causal self-attention; Self-attend: (B, nh, T, hs) x (B, nh, hs, T) -> (B, nh, T, T) # flash attention # pylint: disable=not-callable - y = torch.nn.functional.scaled_dot_product_attention( + y, attn_components = use_attention_type( + attention_type=self.attention_type, query=q, key=k, value=v, @@ -87,6 +93,10 @@ def forward(self, x, attention_mask=None): dropout_p=self.attn_dropout.p if self.training else 0, is_causal=self.is_causal, ) + + # store the attention components + self.attn_components = attn_components + # pylint: enable=not-callable y = ( y.transpose(1, 2).contiguous().view(B, S, H) @@ -130,7 +140,8 @@ def compute_freqs_cis(seq_len, head_dim): ATTENTION_DICT = { - "causal": lambda hidden_dim, context_window, use_rope, attn_cfg: Attention( + "causal": lambda attention_type, hidden_dim, context_window, use_rope, attn_cfg: Attention( + attention_type=attention_type, hidden_dim=hidden_dim, num_kv_heads=attn_cfg["num_kv_heads"], num_q_heads=attn_cfg.get("num_q_heads", attn_cfg["num_kv_heads"]), @@ -139,7 +150,8 @@ def compute_freqs_cis(seq_len, head_dim): context_window=context_window, is_causal=True, ), - "bidirectional": lambda hidden_dim, context_window, use_rope, attn_cfg: Attention( + "bidirectional": lambda attention_type, hidden_dim, context_window, use_rope, attn_cfg: Attention( + atttention_type=attention_type, hidden_dim=hidden_dim, num_kv_heads=attn_cfg["num_kv_heads"], num_q_heads=attn_cfg.get("num_q_heads", attn_cfg["num_kv_heads"]), @@ -151,7 +163,7 @@ def compute_freqs_cis(seq_len, head_dim): } -def build_attention(hidden_dim, context_window, use_rope, attn_cfg): +def build_attention(attention_type, hidden_dim, context_window, use_rope, attn_cfg): """ Build an attention layer @@ -162,6 +174,7 @@ def build_attention(hidden_dim, context_window, use_rope, attn_cfg): attn_cfg: attention config """ return ATTENTION_DICT[attn_cfg["attn_type"]]( + attention_type=attention_type, hidden_dim=hidden_dim, context_window=context_window, use_rope=use_rope, diff --git a/models/components/transformer_blocks.py b/models/components/transformer_blocks.py index e5486778..f79e17a7 100644 --- a/models/components/transformer_blocks.py +++ b/models/components/transformer_blocks.py @@ -16,7 +16,7 @@ class GenericTransformerBlock(torch.nn.Module): FFN, Attn and normalization. """ - def __init__(self, hidden_dim, context_window, use_rope, ffn_cfg, attn_cfg): + def __init__(self, attention_type, hidden_dim, context_window, use_rope, ffn_cfg, attn_cfg): super().__init__() # build the attn norm @@ -28,6 +28,7 @@ def __init__(self, hidden_dim, context_window, use_rope, ffn_cfg, attn_cfg): # build the attention self.attn = build_attention( + attention_type=attention_type, hidden_dim=hidden_dim, context_window=context_window, use_rope=use_rope, diff --git a/models/components/utils/__init__.py b/models/components/utils/__init__.py index 509d17b8..8b04df61 100644 --- a/models/components/utils/__init__.py +++ b/models/components/utils/__init__.py @@ -1 +1,2 @@ -from models.components.utils.tokenizer_utils import * \ No newline at end of file +from models.components.utils.tokenizer_utils import * +from models.components.utils.attention_utils import * \ No newline at end of file diff --git a/models/components/utils/attention_utils.py b/models/components/utils/attention_utils.py new file mode 100644 index 00000000..fb3dad79 --- /dev/null +++ b/models/components/utils/attention_utils.py @@ -0,0 +1,99 @@ +""" +Builds the attention functions specified in the config. + +According to the Pytorch documentation, the `torch.nn.functional.scaled_dot_product_attention` function +is efficiently implemented with flash attention. Hence, using the standard function is recommended during training. + +However, where users may want the components of the attention values, the `detailed_scaled_dot_product_attention` function +uses the raw calculations to provide intermediate attention values and the query, key, and value matrices. This might be useful +for inferencing. For example, the adaptive sampler in the `generate.py` script uses the detailed attention function to extract +the scaled attention values (before softmax) for the model's attention heads. +""" + +import torch +import torch.nn.functional as F +from typing import Callable + + +def detailed_scaled_dot_product_attention(query, key, value, attn_mask, dropout_p, is_causal) -> torch.Tensor: + """ + Initializes a detailed attention module that grants users the extraction of intermediate attention values and + the query, key, and value matrices. + + Args: + query (torch.Tensor): Query tensor of shape (..., seq_len_q, dim_k) + key (torch.Tensor): Key tensor of shape (..., seq_len_k, dim_k) + value (torch.Tensor): Value tensor of shape (..., seq_len_v, dim_v) + attn_mask (torch.Tensor, optional): Attention mask. + dropout_p (float, optional): Dropout probability. + is_causal (bool): If True, applies a causal mask. + """ + + # Compute QK^T + prenorm_scores = torch.matmul(query, key.transpose(-2, -1)) + # Scale by sqrt(dim_k) + scaling_factor = key.size(-1) ** 0.5 + scaled_scores = prenorm_scores / scaling_factor + + # Apply attention mask if provided + if attn_mask is not None: + scaled_scores = scaled_scores.masked_fill(attn_mask == 0, float('-inf')) + + # Apply causal mask if required + if is_causal: + seq_len = query.size(-2) + causal_mask = torch.tril(torch.ones((seq_len, seq_len), device=query.device)).bool() + scaled_scores = scaled_scores.masked_fill(~causal_mask, float('-inf')) + + # Compute attention probabilities + attn_probs = F.softmax(scaled_scores, dim=-1) + + # Apply dropout if specified + if dropout_p is not None: + attn_probs = F.dropout(attn_probs, p=dropout_p) + + # Compute the attention output + output = torch.matmul(attn_probs, value) + + return output, {"query": query, "key": key, "value": value, "scaled_scores": scaled_scores} + +def standard_scaled_dot_product_attention(query, key, value, attn_mask = None, dropout_p = None, is_causal = False) -> torch.Tensor: + """ + Standard scaled dot-product attention using PyTorch's built-in function. + + Args: + query (torch.Tensor): Query tensor. + key (torch.Tensor): Key tensor. + value (torch.Tensor): Value tensor. + attn_mask (torch.Tensor, optional): Attention mask. + dropout_p (float, optional): Dropout probability. + is_causal (bool): If True, applies a causal mask. + + Returns: + torch.Tensor: The attention output. + """ + return torch.nn.functional.scaled_dot_product_attention( + query=query, + key=key, + value=value, + attn_mask=attn_mask, + dropout_p=dropout_p, + is_causal=is_causal + ), None + +ATTENTION_DICT = { + "standard": lambda query, key, value, attn_mask, dropout_p, is_causal: standard_scaled_dot_product_attention(query, key, value, attn_mask, dropout_p, is_causal), + "standard_detailed": lambda query, key, value, attn_mask, dropout_p, is_causal: detailed_scaled_dot_product_attention(query, key, value, attn_mask, dropout_p, is_causal) +} + +def use_attention_type(attention_type: str, query, key, value, attn_mask, dropout_p, is_causal) -> Callable: + """ + Returns the attention function corresponding to the specified type. + + Args: + attention_type (str): The type of attention to use. + + Returns: + Callable: The attention function. + """ + return ATTENTION_DICT[attention_type](query, key, value, attn_mask, dropout_p, is_causal) \ No newline at end of file diff --git a/models/core_models.py b/models/core_models.py index f786c5b2..521d6b5a 100644 --- a/models/core_models.py +++ b/models/core_models.py @@ -23,6 +23,7 @@ def __init__(self, model_cfg): "h": torch.nn.ModuleList( [ GenericTransformerBlock( + attention_type=model_cfg["attention_type"], hidden_dim=model_cfg["hidden_dim"], context_window=model_cfg["context_window"], use_rope=model_cfg["positional_encoding_type"] == "rope", @@ -68,9 +69,15 @@ def forward(self, x): # apply dropout x = self.transformer.drop(x) + # init matrices to get attention dict + self.attn_components = [] + # pass through the transformer blocks for block in self.transformer.h: x = block(x) + + # append the attention components + self.attn_components.append(block.attn.attn_components) return x diff --git a/models/generator.py b/models/generator.py index 34c2c4e3..35a4d3c4 100644 --- a/models/generator.py +++ b/models/generator.py @@ -7,7 +7,377 @@ ## libraries for entropy calculation import math +from typing import Dict, Optional +class AdaptiveGenerator(torch.nn.Module): + """ + Adaptive Generator with adaptive sampling strategies based on entropy metrics. + Reference: https://github.com/xjdr-alt/entropix/tree/main + """ + + LN_2 = math.log(2) # ln(2) for entropy calculations + + def __init__(self, model, generate_cfg: Dict, device: str = "cuda"): + """ + Initialize the generator with the model and sampling configuration. + + Args: + model: The language model to use for generation. + generate_cfg (Dict): Configuration dictionary for sampler hyperparameters. + device (str): Device to run the generator on ('cuda' or 'cpu'). + """ + super().__init__() + self.model = model.to(device) + self.device = device + self.generate_config = generate_cfg + + def default_generate(self, input_text: str) -> str: + """ + Generate text using the default generation method. + + Args: + input_text (str): The initial text prompt. + + Returns: + str: Generated text. + """ + return self.generate( + input_text, + max_new_tokens=self.generate_config.max_new_tokens, # Adjust as needed + temperature=self.generate_config.temperature, + top_k=self.generate_config.top_k, + top_p=self.generate_config.top_p, + min_p=self.generate_config.min_p + ) + + @torch.no_grad() + def generate( + self, + input_text: str, + max_new_tokens: int, + temperature: float = 1.0, + top_k: Optional[int] = None, + top_p: Optional[float] = None, + min_p: Optional[float] = None, + clarifying_question_token: int = 2564 + ) -> str: + """ + Generate text with advanced sampling strategies. + + Args: + input_text (str): The initial text prompt. + max_new_tokens (int): Number of tokens to generate. + temperature (float, optional): Temperature for scaling logits. + top_k (int, optional): Top-K sampling parameter. + top_p (float, optional): Top-P (nucleus) sampling parameter. + min_p (float, optional): Minimum probability threshold. + clarifying_question_token (int, optional): Token ID for clarifying questions. + + Returns: + str: Generated text. + """ + # Tokenize input + idx = self.model.embedding_model.tokenize_input( + input_string=input_text, + add_eot=False, + truncate=True + ) + # Convert to tensor and move to device + idx = torch.tensor(idx, dtype=torch.long).unsqueeze(0).to(self.device) # Shape: (batch_size=1, sequence_length) + + for _ in range(max_new_tokens): + # Forward pass to get logits and attention scores + logits, attention_scores = self.model.inference(idx) + # Logits shape: (batch_size, sequence_length, vocab_size) + # attention_scores shape: list of tensors, each of shape (batch_size, num_heads, sequence_length, sequence_length) + + # Debugging: Print shapes (optional, remove in production) + # print(f"logits shape: {logits.shape}") + # print(f"attention_scores length: {len(attention_scores)}") + # for i, m in enumerate(self.model.core_model.matrices): + # print(f"matrix {i} scaled_scores shape: {m['scaled_scores'].shape}") + + # Take logits of the last token + if logits.dim() == 3: + logits = logits[:, -1, :] # Shape: (batch_size, vocab_size) + elif logits.dim() == 2: + logits = logits # Shape: (batch_size, vocab_size) + elif logits.dim() == 1: + logits = logits.unsqueeze(0) # Shape: (1, vocab_size) + else: + raise ValueError(f"Unexpected logits shape: {logits.shape}") + + # Ensure logits is 2D + if logits.dim() != 2: + raise ValueError(f"Logits should be 2D after processing, got shape: {logits.shape}") + + # Scale logits by temperature + scaled_logits = logits / temperature # Shape: (batch_size, vocab_size) + + # Retrieve and concatenate attention scores + # Ensure that self.model.core_model.matrices is correctly structured + attention_scores = torch.cat([attn_component['scaled_scores'] for attn_component in self.model.core_model.attn_components], dim=1) + # attention_scores shape: (batch_size, total_heads, seq_length, seq_length) + + # Calculate metrics + metrics = self._calculate_metrics(scaled_logits, attention_scores) + + # Decide on sampling strategy based on metrics + next_token = self._decide_next_token(logits, metrics, clarifying_question_token) + + # Check if the next token is the end-of-text token + if next_token.item() == self.model.embedding_model.eot_token: + print("EOT token found, stopping generation.") + break + + # Debugging: Print shapes (optional, remove in production) + # print("next token shape!!!", next_token.shape) # Should be [batch_size, 1] + # print("idx shape!!!", idx.shape) # Should be [batch_size, current_length] + + # Append the next token to the sequence + idx = torch.cat((idx, next_token), dim=1) # Shape: (batch_size, current_length + 1) + # print(idx.ty) + # Decode the generated tokens to string + return self.model.embedding_model.decode(idx.tolist()) + + def _calculate_metrics(self, logits: torch.Tensor, attention_scores: torch.Tensor) -> Dict[str, torch.Tensor]: + """ + Calculate entropy, varentropy, and other metrics from logits and attention scores. + + Args: + logits (torch.Tensor): Logits from the model. Shape: (batch_size, vocab_size) + attention_scores (torch.Tensor): Attention scores from the model. Shape: (batch_size, total_heads, seq_length, seq_length) + + Returns: + Dict[str, torch.Tensor]: Dictionary of calculated metrics. + """ + # Calculate log probabilities + log_probs = F.log_softmax(logits, dim=-1) # Shape: (batch_size, vocab_size) + probs = torch.exp(log_probs) # Shape: (batch_size, vocab_size) + + # Entropy: -sum(p * log2(p)) + entropy = -torch.sum(probs * log_probs, dim=-1) / self.LN_2 # Shape: (batch_size,) + + # Varentropy: sum(p * (log2(p) + entropy)^2) + entropy_expanded = entropy.unsqueeze(-1) # Shape: (batch_size, 1) + varentropy = torch.sum(probs * (log_probs / self.LN_2 + entropy_expanded) ** 2, dim=-1) # Shape: (batch_size,) + + # Attention probabilities + attention_probs = F.softmax(attention_scores, dim=-1) # Shape: (batch_size, total_heads, seq_length, seq_length) + + # Attention entropy: -sum(p * log2(p)) + attn_entropy = -torch.sum( + attention_probs * torch.log2(torch.clamp(attention_probs, min=1e-10)), + dim=-1 + ) # Shape: (batch_size, total_heads, seq_length) + + # Aggregate attention entropy by averaging over sequence length + attn_entropy = torch.mean(attn_entropy, dim=-1) # Shape: (batch_size, total_heads) + + # Attention varentropy: variance of attention entropy across heads + attn_varentropy = torch.var(attn_entropy, dim=1) # Shape: (batch_size,) + + # Mean attention + mean_attention = torch.mean(attention_probs, dim=1) # Shape: (batch_size, seq_length, seq_length) + + # Agreement: mean absolute difference from mean attention + agreement = torch.mean(torch.abs(attention_probs - mean_attention.unsqueeze(1)), dim=(1, 2, 3)) # Shape: (batch_size,) + + # Interaction strength: mean absolute attention scores + interaction_strength = torch.mean(torch.abs(attention_scores), dim=(1, 2, 3)) # Shape: (batch_size,) + + return { + "logits_entropy": entropy.mean(), + "logits_varentropy": varentropy.mean(), + "attn_entropy": attn_entropy.mean(), + "attn_varentropy": attn_varentropy.mean(), + "agreement": agreement.mean(), + "interaction_strength": interaction_strength.mean() + } + + def _decide_next_token( + self, + logits: torch.Tensor, + metrics: Dict[str, torch.Tensor], + clarifying_question_token: int + ) -> torch.Tensor: + """ + Decide the next token to generate based on the calculated metrics. + + Args: + logits (torch.Tensor): Logits from the model. Shape: (batch_size, vocab_size) + metrics (Dict[str, torch.Tensor]): Calculated metrics. + clarifying_question_token (int): Token ID for clarifying questions. + + Returns: + torch.Tensor: Next token ID. Shape: (batch_size, 1) + """ + cfg = self.generate_config + ent = metrics["logits_entropy"].item() + vent = metrics["logits_varentropy"].item() + attn_ent = metrics["attn_entropy"].item() + attn_vent = metrics["attn_varentropy"].item() + agreement = metrics["agreement"].item() + interaction_strength = metrics["interaction_strength"].item() + + # Low Entropy, Low Varentropy: Greedy decoding + if ent < cfg.low_ent_thresh and vent < cfg.low_vent_thresh: + next_token = torch.argmax(logits, dim=-1, keepdim=True) # Shape: (batch_size, 1) + return next_token + + # High Entropy, Low Varentropy: Insert clarifying question + elif ent > cfg.high_ent_thresh and vent < cfg.low_vent_thresh: + # Insert a clarifying question token for each sequence in the batch + batch_size = logits.shape[0] + next_token = torch.full((batch_size, 1), clarifying_question_token, device=self.device) # Shape: (batch_size, 1) + return next_token + + # Low Entropy, High Varentropy: Adjust temperature and top_k + elif ent < cfg.high_ent_thresh and vent > cfg.high_vent_thresh: + temp_adj = cfg.lehv_interaction_strength_offset + cfg.lehv_interaction_strength_coef * interaction_strength + adjusted_temp = min(1.5, cfg.temperature * temp_adj) + adjusted_top_k = max(5, int(cfg.top_k * (1 + 0.5 * (1 - agreement)))) + return self._sample(logits, temperature=adjusted_temp, top_p=cfg.top_p, top_k=adjusted_top_k, min_p=cfg.min_p) + + # High Entropy, High Varentropy: High temperature and adjusted top_p + elif ent > cfg.med_ent_thresh and vent > cfg.high_vent_thresh: + temp_adj = cfg.hehv_attn_vent_offset + cfg.hehv_attn_vent_coef * attn_vent + adjusted_temp = max(2.0, cfg.temperature * temp_adj) + top_p_adj = max(0.5, cfg.top_p - cfg.hehv_attn_ent_coef * attn_ent) + return self._sample(logits, temperature=adjusted_temp, top_p=top_p_adj, top_k=cfg.top_k, min_p=cfg.min_p) + + # Middle ground: Adaptive sampling + else: + logits_uncertainty = metrics["logits_entropy"] + metrics["logits_varentropy"] + attn_uncertainty = metrics["attn_entropy"] + metrics["attn_varentropy"] + + temperature = cfg.temperature * ( + 1 + + cfg.ada_temp_logits * logits_uncertainty + + cfg.ada_temp_attn * attn_uncertainty + - cfg.ada_temp_agree * agreement + ) + top_p = torch.clamp(cfg.top_p * (1 + cfg.ada_top_p * metrics["attn_varentropy"]), 0.1, 1.0) + top_k = int( + torch.clamp( + torch.round( + torch.tensor(cfg.top_k) * ( + 1 + + cfg.ada_top_k_int * interaction_strength + - cfg.ada_top_k_agree * agreement + ) + ), + min=1, + max=100 + ).item() + ) + min_p = torch.clamp(cfg.min_p * (1 - cfg.ada_min_p * logits_uncertainty), 0.01, 0.5) + + # Perform multiple adaptive samples and select the best one + samples = [] + sample_scores = [] + for _ in range(cfg.n_adaptive_samples): + sample = self._sample( + logits, + temperature=temperature.item(), + top_p=top_p.item(), + top_k=top_k, + min_p=min_p.item() + ) + score = self._score_sample(sample, logits, metrics) + samples.append(sample) + sample_scores.append(score) + + # Select the sample with the highest score + sample_scores = torch.tensor(sample_scores) + best_sample_idx = torch.argmax(sample_scores).item() + best_sample = samples[best_sample_idx] # Shape: (batch_size, 1) + return best_sample # Shape: (batch_size, 1) + + def _sample(self, logits: torch.Tensor, temperature: float, top_p: float, top_k: int, min_p: float) -> torch.Tensor: + """ + Sample a token based on adjusted logits with temperature, top_p, top_k, and min_p. + + Args: + logits (torch.Tensor): Logits from the model. Shape: (batch_size, vocab_size) + temperature (float): Temperature scaling factor. + top_p (float): Cumulative probability threshold for nucleus sampling. + top_k (int): Number of top tokens to consider for top-k sampling. + min_p (float): Minimum probability threshold. + + Returns: + torch.Tensor: Sampled token IDs. Shape: (batch_size, 1) + """ + # Apply temperature + scaled_logits = logits / temperature # Shape: (batch_size, vocab_size) + + # Apply min_p sampling + if min_p > 0.0: + probs = F.softmax(scaled_logits, dim=-1) # Shape: (batch_size, vocab_size) + p_max, _ = torch.max(probs, dim=-1, keepdim=True) # Shape: (batch_size, 1) + indices_to_remove = probs < (min_p * p_max) # Shape: (batch_size, vocab_size) + scaled_logits = torch.where(indices_to_remove, torch.full_like(scaled_logits, -float('Inf')), scaled_logits) + + # Apply top_k sampling + if top_k is not None and top_k > 0: + topk_logits, topk_indices = torch.topk(scaled_logits, top_k, dim=-1) + scaled_logits = torch.full_like(scaled_logits, -float('Inf')).scatter_(-1, topk_indices, topk_logits) + + # Apply top_p (nucleus) sampling + if top_p is not None and top_p < 1.0: + sorted_probs, sorted_indices = torch.sort(F.softmax(scaled_logits, dim=-1), descending=True, dim=-1) # [batch_size, vocab_size] + cumulative_probs = torch.cumsum(sorted_probs, dim=-1) # [batch_size, vocab_size] + sorted_indices_to_remove = cumulative_probs > top_p # [batch_size, vocab_size] + # Shift the mask right to keep the first token above the threshold + sorted_indices_to_remove[:, 1:] = sorted_indices_to_remove[:, :-1].clone() + sorted_indices_to_remove[:, 0] = 0 + # Scatter back to original ordering + indices_to_remove = sorted_indices_to_remove.scatter(-1, sorted_indices, sorted_indices_to_remove) # [batch_size, vocab_size] + scaled_logits = torch.where(indices_to_remove, torch.full_like(scaled_logits, -float('Inf')), scaled_logits) + + # Re-normalize the logits + probs = F.softmax(scaled_logits, dim=-1) # Shape: (batch_size, vocab_size) + + # Multinomial sampling + next_token = torch.multinomial(probs, num_samples=1) # Shape: (batch_size, 1) + return next_token + + def _score_sample(self, sample: torch.Tensor, logits: torch.Tensor, metrics: Dict[str, torch.Tensor]) -> float: + """ + Score a sampled token based on various confidence metrics. + + Args: + sample (torch.Tensor): Sampled token ID. Shape: (batch_size, 1) + logits (torch.Tensor): Logits from the model. Shape: (batch_size, vocab_size) + metrics (Dict[str, torch.Tensor]): Calculated metrics. + + Returns: + float: Confidence score for the sampled token. + """ + # Calculate log probability of the sampled token + log_probs = F.log_softmax(logits, dim=-1) # Shape: (batch_size, vocab_size) + sample_log_prob = log_probs.gather(-1, sample).squeeze(-1).item() + + # Confidence score based on metrics and configuration + cfg = self.generate_config + confidence_score = ( + (1 - metrics["logits_entropy"].item()) * cfg.ada_score_logits_ent + + (1 - metrics["attn_entropy"].item()) * cfg.ada_score_attn_ent + + (1 - metrics["logits_varentropy"].item()) * cfg.ada_score_logits_vent + + (1 - metrics["attn_varentropy"].item()) * cfg.ada_score_attn_vent + + metrics["agreement"].item() * cfg.ada_score_agree + + metrics["interaction_strength"].item() * cfg.ada_score_int + ) + + return sample_log_prob + confidence_score + + def forward(self, x): + """Call the underlying model's forward method.""" + return self.model(x) + + def embed(self, x): + """Embed the input using the underlying model's embedding.""" + return self.model.embed(x) class EntropyTemperatureGenerator(torch.nn.Module): ''' @@ -258,7 +628,7 @@ def generate(self, input_text, max_new_tokens, temperature=1.0, top_k=None): break idx = torch.cat((idx, idx_next), dim=1) - + print(idx) return self.model.embedding_model.decode(idx.tolist()) def forward(self, x): @@ -273,7 +643,8 @@ def embed(self, x): GENERATOR_DICT = { "standard": lambda model, generate_cfg, device: StandardGenerator(model=model, generate_cfg=generate_cfg, device=device), "beam_search": lambda model, generate_cfg, device: BeamSearchGenerator(model=model, generate_cfg=generate_cfg, device=device), - "entropy_temperature": lambda model, generate_cfg, device: EntropyTemperatureGenerator(model=model, generate_cfg=generate_cfg, device=device) + "entropy_temperature": lambda model, generate_cfg, device: EntropyTemperatureGenerator(model=model, generate_cfg=generate_cfg, device=device), + "adaptive_sampler": lambda model, generate_cfg, device: AdaptiveGenerator(model=model, generate_cfg=generate_cfg, device=device) } def build_generator(model, generate_cfg, device): From 93d3330d8b9351eb7b5d89a72001dcf7143860c2 Mon Sep 17 00:00:00 2001 From: Dylan Hillier Date: Fri, 11 Oct 2024 16:40:13 +0800 Subject: [PATCH 201/209] updates huggingface code to build but not quite wokring --- .../bpe_simple_en_wiki_10000.model | 9742 +++++++++++++++ .../bpe_simple_en_wiki_10000.vocab | 10000 ++++++++++++++++ models/experimental/hugging_face.py | 92 +- 3 files changed, 19832 insertions(+), 2 deletions(-) create mode 100644 models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_10000.model create mode 100644 models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_10000.vocab diff --git a/models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_10000.model b/models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_10000.model new file mode 100644 index 00000000..dc8b9319 --- /dev/null +++ b/models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_10000.model @@ -0,0 +1,9742 @@ +101 32 +115 32 +110 32 +111 114 +124 124 +10 10 +101 114 +116 104 +100 32 +97 110 +116 32 +44 32 +105 110 +111 102 +263 256 +97 114 +97 108 +121 32 +46 32 +101 110 +260 32 +111 110 +101 115 +116 105 +265 264 +268 103 +49 57 +50 48 +32 276 +101 264 +105 258 +105 99 +105 115 +97 257 +97 258 +46 261 +10 124 +226 128 +97 32 +269 32 +262 32 +111 32 +105 257 +114 101 +99 104 +84 104 +114 111 +105 116 +97 116 +10 32 +101 257 +101 108 +97 109 +115 116 +281 32 +272 32 +259 32 +119 289 +301 256 +111 258 +111 117 +111 108 +105 103 +105 108 +116 297 +97 115 +295 270 +283 48 +111 109 +97 99 +105 100 +117 115 +105 114 +112 108 +101 99 +117 114 +97 279 +117 110 +111 118 +111 119 +275 116 +318 104 +293 148 +286 270 +101 109 +101 102 +97 266 +97 100 +97 103 +272 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100644 index 00000000..009a4d0a --- /dev/null +++ b/models/components/tokenizers/tokenizer_models/bpe_simple_en_wiki_10000.vocab @@ -0,0 +1,10000 @@ +[\u0000] 0 +[\u0001] 1 +[\u0002] 2 +[\u0003] 3 +[\u0004] 4 +[\u0005] 5 +[\u0006] 6 +[\u0007] 7 +[\u0008] 8 +[\u0009] 9 +[\u000a] 10 +[\u000b] 11 +[\u000c] 12 +[\u000d] 13 +[\u000e] 14 +[\u000f] 15 +[\u0010] 16 +[\u0011] 17 +[\u0012] 18 +[\u0013] 19 +[\u0014] 20 +[\u0015] 21 +[\u0016] 22 +[\u0017] 23 +[\u0018] 24 +[\u0019] 25 +[\u001a] 26 +[\u001b] 27 +[\u001c] 28 +[\u001d] 29 +[\u001e] 30 +[\u001f] 31 +[ ] 32 +[!] 33 +["] 34 +[#] 35 +[$] 36 +[%] 37 +[&] 38 +['] 39 +[(] 40 +[)] 41 +[*] 42 +[+] 43 +[,] 44 +[-] 45 +[.] 46 +[/] 47 +[0] 48 +[1] 49 +[2] 50 +[3] 51 +[4] 52 +[5] 53 +[6] 54 +[7] 55 +[8] 56 +[9] 57 +[:] 58 +[;] 59 +[<] 60 +[=] 61 +[>] 62 +[?] 63 +[@] 64 +[A] 65 +[B] 66 +[C] 67 +[D] 68 +[E] 69 +[F] 70 +[G] 71 +[H] 72 +[I] 73 +[J] 74 +[K] 75 +[L] 76 +[M] 77 +[N] 78 +[O] 79 +[P] 80 +[Q] 81 +[R] 82 +[S] 83 +[T] 84 +[U] 85 +[V] 86 +[W] 87 +[X] 88 +[Y] 89 +[Z] 90 +[[] 91 +[\] 92 +[]] 93 +[^] 94 +[_] 95 +[`] 96 +[a] 97 +[b] 98 +[c] 99 +[d] 100 +[e] 101 +[f] 102 +[g] 103 +[h] 104 +[i] 105 +[j] 106 +[k] 107 +[l] 108 +[m] 109 +[n] 110 +[o] 111 +[p] 112 +[q] 113 +[r] 114 +[s] 115 +[t] 116 +[u] 117 +[v] 118 +[w] 119 +[x] 120 +[y] 121 +[z] 122 +[{] 123 +[|] 124 +[}] 125 +[~] 126 +[\u007f] 127 +[�] 128 +[�] 129 +[�] 130 +[�] 131 +[�] 132 +[�] 133 +[�] 134 +[�] 135 +[�] 136 +[�] 137 +[�] 138 +[�] 139 +[�] 140 +[�] 141 +[�] 142 +[�] 143 +[�] 144 +[�] 145 +[�] 146 +[�] 147 +[�] 148 +[�] 149 +[�] 150 +[�] 151 +[�] 152 +[�] 153 +[�] 154 +[�] 155 +[�] 156 +[�] 157 +[�] 158 +[�] 159 +[�] 160 +[�] 161 +[�] 162 +[�] 163 +[�] 164 +[�] 165 +[�] 166 +[�] 167 +[�] 168 +[�] 169 +[�] 170 +[�] 171 +[�] 172 +[�] 173 +[�] 174 +[�] 175 +[�] 176 +[�] 177 +[�] 178 +[�] 179 +[�] 180 +[�] 181 +[�] 182 +[�] 183 +[�] 184 +[�] 185 +[�] 186 +[�] 187 +[�] 188 +[�] 189 +[�] 190 +[�] 191 +[�] 192 +[�] 193 +[�] 194 +[�] 195 +[�] 196 +[�] 197 +[�] 198 +[�] 199 +[�] 200 +[�] 201 +[�] 202 +[�] 203 +[�] 204 +[�] 205 +[�] 206 +[�] 207 +[�] 208 +[�] 209 +[�] 210 +[�] 211 +[�] 212 +[�] 213 +[�] 214 +[�] 215 +[�] 216 +[�] 217 +[�] 218 +[�] 219 +[�] 220 +[�] 221 +[�] 222 +[�] 223 +[�] 224 +[�] 225 +[�] 226 +[�] 227 +[�] 228 +[�] 229 +[�] 230 +[�] 231 +[�] 232 +[�] 233 +[�] 234 +[�] 235 +[�] 236 +[�] 237 +[�] 238 +[�] 239 +[�] 240 +[�] 241 +[�] 242 +[�] 243 +[�] 244 +[�] 245 +[�] 246 +[�] 247 +[�] 248 +[�] 249 +[�] 250 +[�] 251 +[�] 252 +[�] 253 +[�] 254 +[�] 255 +[e][ ] -> [e ] 256 +[s][ ] -> [s ] 257 +[n][ ] -> [n ] 258 +[o][r] -> [or] 259 +[|][|] -> [||] 260 +[\u000a][\u000a] -> [\u000a\u000a] 261 +[e][r] -> [er] 262 +[t][h] -> [th] 263 +[d][ ] -> [d ] 264 +[a][n] -> [an] 265 +[t][ ] -> [t ] 266 +[,][ ] -> [, ] 267 +[i][n] -> [in] 268 +[o][f] -> [of] 269 +[th][e ] -> [the ] 270 +[a][r] -> [ar] 271 +[a][l] -> [al] 272 +[y][ ] -> [y ] 273 +[.][ ] -> [. ] 274 +[e][n] -> [en] 275 +[||][ ] -> [|| ] 276 +[o][n] -> [on] 277 +[e][s] -> [es] 278 +[t][i] -> [ti] 279 +[an][d ] -> [and ] 280 +[in][g] -> [ing] 281 +[1][9] -> [19] 282 +[2][0] -> [20] 283 +[ ][|| ] -> [ || ] 284 +[e][d ] -> [ed ] 285 +[i][n ] -> [in ] 286 +[i][c] -> [ic] 287 +[i][s] -> [is] 288 +[a][s ] -> [as ] 289 +[a][n ] -> [an ] 290 +[.][\u000a\u000a] -> [.\u000a\u000a] 291 +[\u000a][|] -> [\u000a|] 292 +[�][�] -> [�] 293 +[a][ ] -> [a ] 294 +[of][ ] -> [of ] 295 +[er][ ] -> [er ] 296 +[o][ ] -> [o ] 297 +[i][s ] -> [is ] 298 +[r][e] -> [re] 299 +[c][h] -> [ch] 300 +[T][h] -> [Th] 301 +[r][o] -> [ro] 302 +[i][t] -> [it] 303 +[a][t] -> [at] 304 +[\u000a][ ] -> [\u000a ] 305 +[e][s ] -> [es ] 306 +[e][l] -> [el] 307 +[a][m] -> [am] 308 +[s][t] -> [st] 309 +[ing][ ] -> [ing ] 310 +[al][ ] -> [al ] 311 +[or][ ] -> [or ] 312 +[w][as ] -> [was ] 313 +[Th][e ] -> [The ] 314 +[o][n ] -> [on ] 315 +[o][u] -> [ou] 316 +[o][l] -> [ol] 317 +[i][g] -> [ig] 318 +[i][l] -> [il] 319 +[t][o ] -> [to ] 320 +[a][s] -> [as] 321 +[of ][the ] -> [of the ] 322 +[20][0] -> [200] 323 +[o][m] -> [om] 324 +[a][c] -> [ac] 325 +[i][d] -> [id] 326 +[u][s] -> [us] 327 +[i][r] -> [ir] 328 +[p][l] -> [pl] 329 +[e][c] -> [ec] 330 +[u][r] -> [ur] 331 +[a][ti] -> [ati] 332 +[u][n] -> [un] 333 +[o][v] -> [ov] 334 +[o][w] -> [ow] 335 +[en][t] -> [ent] 336 +[ig][h] -> [igh] 337 +[�][�] -> [—] 338 +[in ][the ] -> [in the ] 339 +[e][m] -> [em] 340 +[e][f] -> [ef] 341 +[a][t ] -> [at ] 342 +[a][d] -> [ad] 343 +[a][g] -> [ag] 344 +[al][l] -> [all] 345 +[e][n ] -> [en ] 346 +[r][i] -> [ri] 347 +[s][\u000a] -> [s\u000a] 348 +[o][c] -> [oc] 349 +[—][ || ] -> [— || ] 350 +[en][c] -> [enc] 351 +[\u000a|][-] -> [\u000a|-] 352 +[ou][n] -> [oun] 353 +[. ][I] -> [. I] 354 +[igh][t ] -> [ight ] 355 +[ig][n] -> [ign] 356 +[en][t ] -> [ent ] 357 +[m][ ] -> [m ] 358 +[d][i] -> [di] 359 +[e][t] -> [et] 360 +[u][l] -> [ul] 361 +[o][s] -> [os] 362 +[ || ][— || ] -> [ || — || ] 363 +[a][y] -> [ay] 364 +[a][p] -> [ap] 365 +[a][b] -> [ab] 366 +[f][or ] -> [for ] 367 +[is][t] -> [ist] 368 +[c][ol] -> [col] 369 +[�][�] -> [–] 370 +[c][om] -> [com] 371 +[th][ ] -> [th ] 372 +[f][ro] -> [fro] 373 +[i][v] -> [iv] 374 +[l][e] -> [le] 375 +[o][t] -> [ot] 376 +[r][es] -> [res] 377 +[an][d] -> [and] 378 +[S][t] -> [St] 379 +[20][1] -> [201] 380 +[r][ight ] -> [right ] 381 +[. ][H] -> [. H] 382 +[19][9] -> [199] 383 +[col][or] -> [color] 384 +[E][9] -> [E9] 385 +[al][ign] -> [align] 386 +[ ][b] -> [ b] 387 +[fro][m ] -> [from ] 388 +[e][v] -> [ev] 389 +[e][d] -> [ed] 390 +[a][v] -> [av] 391 +[w][i] -> [wi] 392 +[l][i] -> [li] 393 +[align][=] -> [align=] 394 +[color][=] -> [color=] 395 +[th][er ] -> [ther ] 396 +[. ][The ] -> [. The ] 397 +[ar][e ] -> [are ] 398 +[ati][on] -> [ation] 399 +[h][ ] -> [h ] 400 +[k][ ] -> [k ] 401 +[)][ ] -> [) ] 402 +[b][er ] -> [ber ] 403 +[e][p] -> [ep] 404 +[b][y ] -> [by ] 405 +[\u000a|][ ] -> [\u000a| ] 406 +[g][color=] -> [gcolor=] 407 +[align=][right ] -> [align=right ] 408 +[id][=] -> [id=] 409 +['][s ] -> ['s ] 410 +[wi][th ] -> [with ] 411 +[is ][a ] -> [is a ] 412 +[th][at ] -> [that ] 413 +[ti][c] -> [tic] 414 +[)][\u000a ] -> [)\u000a ] 415 +[R][ef] -> [Ref] 416 +[w][h] -> [wh] 417 +[er][s] -> [ers] 418 +[p][e] -> [pe] 419 +[ ][k] -> [ k] 420 +[gcolor=][#] -> [gcolor=#] 421 +[\u000a|-][id=] -> [\u000a|-id=] 422 +[em][ber ] -> [ember ] 423 +[1][8] -> [18] 424 +[es][\u000a\u000a] -> [es\u000a\u000a] 425 +[f][or] -> [for] 426 +[. I][t ] -> [. It ] 427 +[U][n] -> [Un] 428 +[o][p] -> [op] 429 +[m][er] -> [mer] 430 +[a][k] -> [ak] 431 +[s][h] -> [sh] 432 +[ch][ ] -> [ch ] 433 +[|][ ] -> [| ] 434 +[e][b] -> [eb] 435 +[ b][gcolor=#] -> [ bgcolor=#] 436 +[e][, ] -> [e, ] 437 +[e][w] -> [ew] 438 +[e][y ] -> [ey ] 439 +[s][, ] -> [s, ] 440 +[o][pl] -> [opl] 441 +[u][p] -> [up] 442 +[o][d] -> [od] 443 +[l][y ] -> [ly ] 444 +[on][g] -> [ong] 445 +[t][r] -> [tr] 446 +[u][m] -> [um] 447 +[C][h] -> [Ch] 448 +[align=right ][| ] -> [align=right | ] 449 +[er][e ] -> [ere ] 450 +[e][a] -> [ea] 451 +[mer][ic] -> [meric] 452 +[l][ ] -> [l ] 453 +[e][ar] -> [ear] 454 +[e][x] -> [ex] 455 +[p][ro] -> [pro] 456 +[d][6] -> [d6] 457 +[u][c] -> [uc] 458 +[, ][200] -> [, 200] 459 +[u][g] -> [ug] 460 +[o][g] -> [og] 461 +[it][y ] -> [ity ] 462 +[ati][on ] -> [ation ] 463 +[pe][opl] -> [peopl] 464 +[N][E] -> [NE] 465 +[m][ || ] -> [m || ] 466 +[e ][of ] -> [e of ] 467 +[t][er] -> [ter] 468 +[A][meric] -> [Americ] 469 +[a][y ] -> [ay ] 470 +[ ][(] -> [ (] 471 +[a][in] -> [ain] 472 +[ar][y ] -> [ary ] 473 +[c][on] -> [con] 474 +[s][p] -> [sp] 475 +[u][b] -> [ub] 476 +[E9][E9] -> [E9E9] 477 +[, ][and ] -> [, and ] 478 +[ou][r] -> [our] 479 +[. ][Th] -> [. Th] 480 +[s][t ] -> [st ] 481 +[s][o ] -> [so ] 482 +[o][t ] -> [ot ] 483 +[m || ][\u000a|-id=] -> [m || \u000a|-id=] 484 +[er][enc] -> [erenc] 485 +[i][m] -> [im] 486 +[h][e ] -> [he ] 487 +[ || ][ || — || ] -> [ || || — || ] 488 +[Americ][an ] -> [American ] 489 +[. H][e ] -> [. He ] 490 +[an][c] -> [anc] 491 +[–][ ] -> [– ] 492 +[l][e ] -> [le ] 493 +[:][ ] -> [: ] 494 +[0][ ] -> [0 ] 495 +[ic][ ] -> [ic ] 496 +[ar][t] -> [art] 497 +[in][c] -> [inc] 498 +[-][ ] -> [- ] 499 +[u][t] -> [ut] 500 +[ || ][S] -> [ || S] 501 +[ || ][L] -> [ || L] 502 +[19][8] -> [198] 503 +[s][e] -> [se] 504 +[NE][A] -> [NEA] 505 +[es][t ] -> [est ] 506 +[y][, ] -> [y, ] 507 +[pl][ay] -> [play] 508 +[I][n] -> [In] 509 +[ k][m || \u000a|-id=] -> [ km || \u000a|-id=] 510 +[Ref][erenc] -> [Referenc] 511 +[er][s ] -> [ers ] 512 +[i][an ] -> [ian ] 513 +[an][g] -> [ang] 514 +[all][ ] -> [all ] 515 +[h][is ] -> [his ] 516 +[M][ar] -> [Mar] 517 +[t][er ] -> [ter ] 518 +[||][0] -> [||0] 519 +[ed ][by ] -> [ed by ] 520 +[am][e ] -> [ame ] 521 +[w][or] -> [wor] 522 +[u][d] -> [ud] 523 +[ti][on] -> [tion] 524 +[r][a] -> [ra] 525 +[A][n] -> [An] 526 +[s][it] -> [sit] 527 +[th][s\u000a] -> [ths\u000a] 528 +[ || — || ][align=right | ] -> [ || — || align=right | ] 529 +[o][o] -> [oo] 530 +[b][e] -> [be] 531 +[19][7] -> [197] 532 +[es][\u000a] -> [es\u000a] 533 +[al][so ] -> [also ] 534 +[i][t ] -> [it ] 535 +[m][an] -> [man] 536 +[.\u000a\u000a][Referenc] -> [.\u000a\u000aReferenc] 537 +[ed ][to ] -> [ed to ] 538 +[c][t] -> [ct] 539 +[q][u] -> [qu] 540 +[s ][of ] -> [s of ] 541 +[es][t] -> [est] 542 +[is][h] -> [ish] 543 +[b][u] -> [bu] 544 +[ac][t] -> [act] 545 +[ed ][in ] -> [ed in ] 546 +[ow][n ] -> [own ] 547 +[d6][d6] -> [d6d6] 548 +[ || L][I] -> [ || LI] 549 +[ti][on ] -> [tion ] 550 +[NEA][R] -> [NEAR] 551 +[F][r] -> [Fr] 552 +[. ][S] -> [. S] 553 +[er][, ] -> [er, ] 554 +[ov][i] -> [ovi] 555 +[il][l] -> [ill] 556 +[or][ro] -> [orro] 557 +[s ][in ] -> [s in ] 558 +[s ][and ] -> [s and ] 559 +[it][ed ] -> [ited ] 560 +[h][as ] -> [has ] 561 +[)][, ] -> [), ] 562 +[f][f] -> [ff] 563 +[at][e ] -> [ate ] 564 +[w][ere ] -> [were ] 565 +[w][eb] -> [web] 566 +[en][d] -> [end] 567 +[ou][t ] -> [out ] 568 +[av][e ] -> [ave ] 569 +[i][ ] -> [i ] 570 +[i][p] -> [ip] 571 +[i][on ] -> [ion ] 572 +[b][or] -> [bor] 573 +[m][ovi] -> [movi] 574 +[oc][orro] -> [ocorro] 575 +[l][d ] -> [ld ] 576 +[web][sit] -> [websit] 577 +[Un][ited ] -> [United ] 578 +[at][ed ] -> [ated ] 579 +[oun][t] -> [ount] 580 +[.\u000a\u000aReferenc][es\u000a\u000a] -> [.\u000a\u000aReferences\u000a\u000a] 581 +[is][h ] -> [ish ] 582 +[u][ary ] -> [uary ] 583 +[th][e] -> [the] 584 +[E][n] -> [En] 585 +[ar][ ] -> [ar ] 586 +[i][a] -> [ia] 587 +[i][on] -> [ion] 588 +[i][an] -> [ian] 589 +[p][r] -> [pr] 590 +[ || S][ocorro] -> [ || Socorro] 591 +[A][l] -> [Al] 592 +[or][t] -> [ort] 593 +[o][b] -> [ob] 594 +[ti][m] -> [tim] 595 +[e][t ] -> [et ] 596 +[el][l] -> [ell] 597 +[bor][n ] -> [born ] 598 +[to ][the ] -> [to the ] 599 +[n][ot ] -> [not ] 600 +[.][\u000a ] -> [.\u000a ] 601 +[1][ ] -> [1 ] 602 +[a][d ] -> [ad ] 603 +[ || LI][NEAR] -> [ || LINEAR] 604 +[r][ic] -> [ric] 605 +[on][e ] -> [one ] 606 +[b][e ] -> [be ] 607 +[i][a ] -> [ia ] 608 +[an][t] -> [ant] 609 +[p][ar] -> [par] 610 +[e][g] -> [eg] 611 +[or][e ] -> [ore ] 612 +[O][ther ] -> [Other ] 613 +[s][er] -> [ser] 614 +[m][un] -> [mun] 615 +[es][, ] -> [es, ] 616 +[on ][the ] -> [on the ] 617 +[ec][t] -> [ect] 618 +[c][l] -> [cl] 619 +[p][ol] -> [pol] 620 +[ ][and ] -> [ and ] 621 +[ || Socorro][ || LINEAR] -> [ || Socorro || LINEAR] 622 +[\u000a| ][1] -> [\u000a| 1] 623 +[st][r] -> [str] 624 +[a][w] -> [aw] 625 +[A][r] -> [Ar] 626 +[ic][h ] -> [ich ] 627 +[ar][d] -> [ard] 628 +[ef][e] -> [efe] 629 +[es][s] -> [ess] 630 +[p][er] -> [per] 631 +[g][l] -> [gl] 632 +[a][, ] -> [a, ] 633 +[St][at] -> [Stat] 634 +[as][s] -> [ass] 635 +[peopl][e ] -> [people ] 636 +[ || ][align=right | ] -> [ || align=right | ] 637 +[b][ec] -> [bec] 638 +[at ][the ] -> [at the ] 639 +[Other ][websit] -> [Other websit] 640 +[i][es ] -> [ies ] 641 +[ation][al ] -> [ational ] 642 +[h][ave ] -> [have ] 643 +[ew][ ] -> [ew ] 644 +[. ][ ] -> [. ] 645 +[2][ ] -> [2 ] 646 +[r][it] -> [rit] 647 +[19][6] -> [196] 648 +[wh][ich ] -> [which ] 649 +[1][0] -> [10] 650 +[f][ef] -> [fef] 651 +[a][st] -> [ast] 652 +[e][\u000a] -> [e\u000a] 653 +[p][h] -> [ph] 654 +[k][n] -> [kn] 655 +[os][t ] -> [ost ] 656 +[United ][Stat] -> [United Stat] 657 +[o][ther ] -> [other ] 658 +[ed ][the ] -> [ed the ] 659 +[ar][d ] -> [ard ] 660 +[i][ti] -> [iti] 661 +[th][er] -> [ther] 662 +[. I][n ] -> [. In ] 663 +[om][e ] -> [ome ] 664 +[m][ent] -> [ment] 665 +[, ][the ] -> [, the ] 666 +[all][y ] -> [ally ] 667 +[es][e ] -> [ese ] 668 +[o][ot] -> [oot] 669 +[is ][the ] -> [is the ] 670 +[E9E9][E9] -> [E9E9E9] 671 +[ ][ ] -> [ ] 672 +[fef][efe] -> [fefefe] 673 +[t][e] -> [te] 674 +[for][m] -> [form] 675 +[er][n] -> [ern] 676 +[ bgcolor=#][E9E9E9] -> [ bgcolor=#E9E9E9] 677 +[us][t ] -> [ust ] 678 +[ag][e ] -> [age ] 679 +[or][d] -> [ord] 680 +[es ][in ] -> [es in ] 681 +[, ][199] -> [, 199] 682 +[i][al ] -> [ial ] 683 +[th][ey ] -> [they ] 684 +[l][and] -> [land] 685 +[C][om] -> [Com] 686 +[ing ][the ] -> [ing the ] 687 +[i][tic] -> [itic] 688 +[s][c] -> [sc] 689 +[I][n ] -> [In ] 690 +[u][s ] -> [us ] 691 +[ir][ ] -> [ir ] 692 +[el][ ] -> [el ] 693 +[5][ ] -> [5 ] 694 +[4][ ] -> [4 ] 695 +[il][ ] -> [il ] 696 +["][ ] -> [" ] 697 +[3][ ] -> [3 ] 698 +[1][7] -> [17] 699 +[6][ ] -> [6 ] 700 +[A][ ] -> [A ] 701 +[ bgcolor=#][fefefe] -> [ bgcolor=#fefefe] 702 +[ep][t] -> [ept] 703 +[m][e] -> [me] 704 +[v][e ] -> [ve ] 705 +[in][e ] -> [ine ] 706 +[ || Socorro || LINEAR][ || — || align=right | ] -> [ || Socorro || LINEAR || — || align=right | ] 707 +[is][t ] -> [ist ] 708 +[L][e] -> [Le] 709 +[N][ew ] -> [New ] 710 +[ro][w] -> [row] 711 +[a][us] -> [aus] 712 +[En][gl] -> [Engl] 713 +[\u000a|-][\u000a|] -> [\u000a|-\u000a|] 714 +[y][ear] -> [year] 715 +[re][c] -> [rec] 716 +[i][z] -> [iz] 717 +[f][ir] -> [fir] 718 +[8][ ] -> [8 ] 719 +[ow][ ] -> [ow ] 720 +[7][ ] -> [7 ] 721 +[am][ ] -> [am ] 722 +[19][5] -> [195] 723 +[19][4] -> [194] 724 +[S][h] -> [Sh] 725 +[d][ea] -> [dea] 726 +[d][uc] -> [duc] 727 +[t][w] -> [tw] 728 +[19][3] -> [193] 729 +[as][t ] -> [ast ] 730 +[ept][ember ] -> [eptember ] 731 +[S][p] -> [Sp] 732 +[i][b] -> [ib] 733 +[1][6] -> [16] 734 +[u][re] -> [ure] 735 +[ar][e] -> [are] 736 +[was ][a ] -> [was a ] 737 +[m][ent ] -> [ment ] 738 +[s ][from ] -> [s from ] 739 +[a][in ] -> [ain ] 740 +[oot][b] -> [ootb] 741 +[wh][o ] -> [who ] 742 +[for ][the ] -> [for the ] 743 +[com][p] -> [comp] 744 +[ic][al ] -> [ical ] 745 +[c][an ] -> [can ] 746 +[)][\u000a] -> [)\u000a] 747 +[9][ ] -> [9 ] 748 +[the][ir ] -> [their ] 749 +[ong][ ] -> [ong ] 750 +[0][0] -> [00] 751 +[\u000a ][\u000a ] -> [\u000a \u000a ] 752 +[up][ ] -> [up ] 753 +[. ][A] -> [. A] 754 +[ac][k] -> [ack] 755 +[er][s\u000a] -> [ers\u000a] 756 +[J][an] -> [Jan] 757 +[fir][st ] -> [first ] 758 +[ b][ir] -> [ bir] 759 +[a][f] -> [af] 760 +[i][f] -> [if] 761 +[h][ad ] -> [had ] 762 +[w][e] -> [we] 763 +[un][d] -> [und] 764 +[s][u] -> [su] 765 +[p][res] -> [pres] 766 +[w][rit] -> [writ] 767 +[1][.] -> [1.] 768 +[S][eptember ] -> [September ] 769 +[h][er ] -> [her ] 770 +[at][t] -> [att] 771 +[�][�] -> [é] 772 +[l][iv] -> [liv] 773 +[G][er] -> [Ger] 774 +[it][s ] -> [its ] 775 +[es ][\u000a\u000a] -> [es \u000a\u000a] 776 +[i][d ] -> [id ] 777 +[O][ct] -> [Oct] 778 +[v][er] -> [ver] 779 +[c][all] -> [call] 780 +[a][ch] -> [ach] 781 +[m][an ] -> [man ] 782 +[ab][out ] -> [about ] 783 +[kn][own ] -> [known ] 784 +[m][on] -> [mon] 785 +[c][ent] -> [cent] 786 +[. It ][is ] -> [. It is ] 787 +[d6d6][d6] -> [d6d6d6] 788 +[o][ber ] -> [ober ] 789 +[N][or] -> [Nor] 790 +[ bir][ths\u000a] -> [ births\u000a] 791 +[d][is] -> [dis] 792 +[am][p] -> [amp] 793 +[e ][and ] -> [e and ] 794 +[e][.\u000a\u000a] -> [e.\u000a\u000a] 795 +[e ][(] -> [e (] 796 +[o][h] -> [oh] 797 +[||][1] -> [||1] 798 +[en][s] -> [ens] 799 +[of][f] -> [off] 800 +[ub][l] -> [ubl] 801 +[Oct][ober ] -> [October ] 802 +[ bgcolor=#][d6d6d6] -> [ bgcolor=#d6d6d6] 803 +[pol][itic] -> [politic] 804 +[m][us] -> [mus] 805 +[s ][(] -> [s (] 806 +[or][y ] -> [ory ] 807 +[eb][r] -> [ebr] 808 +[man][y ] -> [many ] 809 +[el][ev] -> [elev] 810 +[an][n] -> [ann] 811 +[an][t ] -> [ant ] 812 +[bu][t ] -> [but ] 813 +[ed ][on ] -> [ed on ] 814 +[. S][he ] -> [. She ] 815 +[ic][h] -> [ich] 816 +[ou][ld ] -> [ould ] 817 +[.][\u000a] -> [.\u000a] 818 +[A][ug] -> [Aug] 819 +[ac][k ] -> [ack ] 820 +[Mar][ch ] -> [March ] 821 +[in][d] -> [ind] 822 +[is][ion ] -> [ision ] 823 +[P][e] -> [Pe] 824 +[ad][e ] -> [ade ] 825 +[A][u] -> [Au] 826 +[1][5] -> [15] 827 +[f][l] -> [fl] 828 +[s][. ] -> [s. ] 829 +[s][ing] -> [sing] 830 +[ar][g] -> [arg] 831 +[b][o] -> [bo] 832 +[n][e] -> [ne] 833 +[Jan][uary ] -> [January ] 834 +[er ][(] -> [er (] 835 +[igh][t] -> [ight] 836 +[n][am] -> [nam] 837 +[oun][d ] -> [ound ] 838 +[20][2] -> [202] 839 +[=]["] -> [="] 840 +[N][ov] -> [Nov] 841 +[1][4] -> [14] 842 +[D][ec] -> [Dec] 843 +[th][is ] -> [this ] 844 +[||][2] -> [||2] 845 +[p][o] -> [po] 846 +[ou][s ] -> [ous ] 847 +[1][2] -> [12] 848 +[Fr][anc] -> [Franc] 849 +[iv][ers] -> [ivers] 850 +[. He ][was ] -> [. He was ] 851 +[�][�] -> [ ] 852 +[19][2] -> [192] 853 +[f][ootb] -> [footb] 854 +[k][e ] -> [ke ] 855 +[d][r] -> [dr] 856 +[P][ar] -> [Par] 857 +[ti][s] -> [tis] 858 +[b][l] -> [bl] 859 +[t][ur] -> [tur] 860 +[m][ar] -> [mar] 861 +[b][er] -> [ber] 862 +[a][h] -> [ah] 863 +[on][, ] -> [on, ] 864 +[;][ ] -> [; ] 865 +[th][em] -> [them] 866 +[Aug][ust ] -> [August ] 867 +[af][ter ] -> [after ] 868 +[. Th][ey ] -> [. They ] 869 +[tw][o ] -> [two ] 870 +[W][h] -> [Wh] 871 +[1][3] -> [13] 872 +[2][.] -> [2.] 873 +[L][iv] -> [Liv] 874 +[, 200][0] -> [, 2000] 875 +[e][-] -> [e-] 876 +[elev][ision ] -> [elevision ] 877 +[u][e ] -> [ue ] 878 +[g][r] -> [gr] 879 +[s][y] -> [sy] 880 +[s][.\u000a\u000a] -> [s.\u000a\u000a] 881 +[con][t] -> [cont] 882 +[C][on] -> [Con] 883 +[ ][of ] -> [ of ] 884 +[Dec][ember ] -> [December ] 885 +[es ][of ] -> [es of ] 886 +[Nov][ember ] -> [November ] 887 +[t ][of ] -> [t of ] 888 +[er][al ] -> [eral ] 889 +[h][i] -> [hi] 890 +[J][ap] -> [Jap] 891 +[at][er ] -> [ater ] 892 +[B][ri] -> [Bri] 893 +[C][ount] -> [Count] 894 +[il][li] -> [illi] 895 +[c][o] -> [co] 896 +[A][pr] -> [Apr] 897 +[. Th][is ] -> [. This ] 898 +[J][ul] -> [Jul] 899 +[b][as] -> [bas] 900 +[\u000a\u000a][Referenc] -> [\u000a\u000aReferenc] 901 +[e][. ] -> [e. ] 902 +[a][z] -> [az] 903 +[call][ed ] -> [called ] 904 +[ou][th ] -> [outh ] 905 +[or][g] -> [org] 906 +[e ][in ] -> [e in ] 907 +[a][u] -> [au] 908 +[r][ap] -> [rap] 909 +[l][y] -> [ly] 910 +[m][ost ] -> [most ] 911 +[m][in] -> [min] 912 +[an][s] -> [ans] 913 +[ou][s] -> [ous] 914 +[m][ade ] -> [made ] 915 +[on][d] -> [ond] 916 +[it][y] -> [ity] 917 +[C][ol] -> [Col] 918 +[be][en ] -> [been ] 919 +[re][ct] -> [rect] 920 +[tis][h ] -> [tish ] 921 +[F][ebr] -> [Febr] 922 +[ov][ern] -> [overn] 923 +[and ][the ] -> [and the ] 924 +[from ][the ] -> [from the ] 925 +[s ][are ] -> [s are ] 926 +[p][op] -> [pop] 927 +[a][ir] -> [air] 928 +[movi][es\u000a] -> [movies\u000a] 929 +[Apr][il ] -> [April ] 930 +[||0][||0] -> [||0||0] 931 +[o][, ] -> [o, ] 932 +["][|] -> ["|] 933 +[x][ ] -> [x ] 934 +[wor][k] -> [work] 935 +[ || Socorro || LINEAR][ || ] -> [ || Socorro || LINEAR || ] 936 +[as ][a ] -> [as a ] 937 +[o][k] -> [ok] 938 +[act][or] -> [actor] 939 +[g][ro] -> [gro] 940 +[W][or] -> [Wor] 941 +[e ][the ] -> [e the ] 942 +[inc][l] -> [incl] 943 +[ab][l] -> [abl] 944 +[in][t] -> [int] 945 +[in][n] -> [inn] 946 +[sp][an] -> [span] 947 +[m][p] -> [mp] 948 +[Febr][uary ] -> [February ] 949 +[ar][r] -> [arr] 950 +[ol][og] -> [olog] 951 +[B][r] -> [Br] 952 +[S][c] -> [Sc] 953 +[ bgcolor=#fefefe][\u000a| ] -> [ bgcolor=#fefefe\u000a| ] 954 +[m][ore ] -> [more ] 955 +[en][ti] -> [enti] 956 +[M][ay ] -> [May ] 957 +[pl][ac] -> [plac] 958 +[b][. ] -> [b. ] 959 +[e][y] -> [ey] 960 +[wh][en ] -> [when ] 961 +[s][ec] -> [sec] 962 +[oun][d] -> [ound] 963 +[.\u000a\u000a][The ] -> [.\u000a\u000aThe ] 964 +[st][at] -> [stat] 965 +[s ][of the ] -> [s of the ] 966 +[s][ong] -> [song] 967 +[sh][ip] -> [ship] 968 +[J][oh] -> [Joh] 969 +[, 200][1] -> [, 2001] 970 +[a][th] -> [ath] 971 +[es ][and ] -> [es and ] 972 +[ser][v] -> [serv] 973 +[re][g] -> [reg] 974 +[ou][g] -> [oug] 975 +[ic][e ] -> [ice ] 976 +[incl][ud] -> [includ] 977 +[t][l] -> [tl] 978 +[movi][e ] -> [movie ] 979 +[n][ational ] -> [national ] 980 +[m][ak] -> [mak] 981 +[t][al] -> [tal] 982 +[C][l] -> [Cl] 983 +[en][g] -> [eng] 984 +[span][="] -> [span="] 985 +[t][en ] -> [ten ] 986 +[re][e ] -> [ree ] 987 +[h][e] -> [he] 988 +[I][s] -> [Is] 989 +[p][os] -> [pos] 990 +[il][d] -> [ild] 991 +[||][3] -> [||3] 992 +[J][un] -> [Jun] 993 +[A][s] -> [As] 994 +[dea][ths\u000a] -> [deaths\u000a] 995 +[C][an] -> [Can] 996 +[is][s] -> [iss] 997 +[u][m ] -> [um ] 998 +[peopl][e\u000a] -> [people\u000a] 999 +[er ][and ] -> [er and ] 1000 +[. ][B] -> [. 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M] 1183 +[a ][s] -> [a s] 1184 +[New ][Yor] -> [New Yor] 1185 +[ver][y ] -> [very ] 1186 +[iv][e ] -> [ive ] 1187 +[u][e] -> [ue] 1188 +[ar][i] -> [ari] 1189 +[An][d] -> [And] 1190 +[et][t] -> [ett] 1191 +[2][6] -> [26] 1192 +[A][w] -> [Aw] 1193 +[em][ent] -> [ement] 1194 +[born ][in ] -> [born in ] 1195 +[ist][or] -> [istor] 1196 +[2][8] -> [28] 1197 +[2][3] -> [23] 1198 +[o][s ] -> [os ] 1199 +[ || || — || ][September ] -> [ || || — || September ] 1200 +[c][ap] -> [cap] 1201 +[O][n] -> [On] 1202 +[el][ec] -> [elec] 1203 +[er][r] -> [err] 1204 +[\u000a|-\u000a|][200] -> [\u000a|-\u000a|200] 1205 +[ic][k] -> [ick] 1206 +[N][ational ] -> [National ] 1207 +[F][or] -> [For] 1208 +[I][t ] -> [It ] 1209 +[A][d] -> [Ad] 1210 +[icip][al] -> [icipal] 1211 +[Ch][r] -> [Chr] 1212 +[ov][er ] -> [over ] 1213 +[P][l] -> [Pl] 1214 +[s][\u000a\u000a] -> [s\u000a\u000a] 1215 +[M][in] -> [Min] 1216 +[re][f] -> [ref] 1217 +[i][e ] -> [ie ] 1218 +[s][ome ] -> [some ] 1219 +[M][on] -> [Mon] 1220 +[s][\u000a ] -> [s\u000a ] 1221 +[R][iv] -> [Riv] 1222 +[s ][that ] -> [s that ] 1223 +[C][ ] -> [C ] 1224 +[g][u] -> [gu] 1225 +[2][, ] -> [2, ] 1226 +[su][ch ] -> [such ] 1227 +[2][7] -> [27] 1228 +[cent][ur] -> [centur] 1229 +[ati][c] -> [atic] 1230 +[play][ed ] -> [played ] 1231 +[In][ter] -> [Inter] 1232 +[ ][ ] -> [ ] 1233 +[ births\u000a][Living people\u000a] -> [ births\u000aLiving people\u000a] 1234 +[ bgcolor=#d6d6d6][\u000a| ] -> [ bgcolor=#d6d6d6\u000a| ] 1235 +[4][.] -> [4.] 1236 +[em][b] -> [emb] 1237 +[w][ould ] -> [would ] 1238 +[g][am] -> [gam] 1239 +[y][\u000a] -> [y\u000a] 1240 +[us][ed ] -> [used ] 1241 +[pro][v] -> [prov] 1242 +[d][om] -> [dom] 1243 +[R][om] -> [Rom] 1244 +[st][art] -> [start] 1245 +[p][art] -> [part] 1246 +[footb][all ] -> [football ] 1247 +[20][19] -> [2019] 1248 +[ti][l ] -> [til ] 1249 +[)][\u000a\u000a] -> [)\u000a\u000a] 1250 +[p][ubl] -> [publ] 1251 +[G][u] -> [Gu] 1252 +[P][ri] -> [Pri] 1253 +[l][ow] -> [low] 1254 +[er ][of ] -> [er of ] 1255 +[f][e] -> [fe] 1256 +[m][ov] -> [mov] 1257 +[a][i] -> [ai] 1258 +[t][s ] -> [ts ] 1259 +[y][s] -> [ys] 1260 +[ ][S] -> [ S] 1261 +[19][0] -> [190] 1262 +[1][1] -> [11] 1263 +[enc][e ] -> [ence ] 1264 +[, 199][9] -> [, 1999] 1265 +[ b][y ] -> [ by ] 1266 +[ bgcolor=#d6d6d6][\u000a| 1] -> [ bgcolor=#d6d6d6\u000a| 1] 1267 +[, ][a ] -> [, a ] 1268 +[il][e ] -> [ile ] 1269 +[num][ber ] -> [number ] 1270 +[Fren][ch ] -> [French ] 1271 +[bet][ween ] -> [between ] 1272 +[H][e ] -> [He ] 1273 +[R][uss] -> [Russ] 1274 +[ati][ve ] -> [ative ] 1275 +[c][ur] -> [cur] 1276 +[n][ame ] -> [name ] 1277 +[st][ri] -> [stri] 1278 +[h][igh] -> [high] 1279 +[t ][of the ] -> [t of the ] 1280 +[ity ][of ] -> [ity of ] 1281 +[United Stat][es ] -> [United States ] 1282 +[off][ic] -> [offic] 1283 +[bec][aus] -> [becaus] 1284 +[diff][er] -> [differ] 1285 +[Joh][n ] -> [John ] 1286 +[span="][2] -> [span="2] 1287 +[it][e ] -> [ite ] 1288 +[un][til ] -> [until ] 1289 +[g][overn] -> [govern] 1290 +[Ger][man ] -> [German ] 1291 +[d][ec] -> [dec] 1292 +[st][em] -> [stem] 1293 +[E][l] -> [El] 1294 +[e][\u000a ] -> [e\u000a ] 1295 +[F][l] -> [Fl] 1296 +[e][as] -> [eas] 1297 +[ov][er] -> [over] 1298 +[t][on ] -> [ton ] 1299 +[t][ak] -> [tak] 1300 +[y ][(] -> [y (] 1301 +[s][m] -> [sm] 1302 +[span="2]["|] -> [span="2"|] 1303 +[s][ev] -> [sev] 1304 +[f][ul] -> [ful] 1305 +[amp][ion] -> [ampion] 1306 +[en][d ] -> [end ] 1307 +[s][up] -> [sup] 1308 +[ || ][K] -> [ || K] 1309 +[5][0] -> [50] 1310 +[fam][il] -> [famil] 1311 +[u][ally ] -> [ually ] 1312 +[os][e ] -> [ose ] 1313 +[an][s ] -> [ans ] 1314 +[A][c] -> [Ac] 1315 +[ch][ang] -> [chang] 1316 +[, ][M] -> [, M] 1317 +[ef][ore ] -> [efore ] 1318 +[op][ ] -> [op ] 1319 +[) ][and ] -> [) and ] 1320 +[f][ound ] -> [found ] 1321 +[anc][e ] -> [ance ] 1322 +[||][row] -> [||row] 1323 +[g][o] -> [go] 1324 +[w][ay ] -> [way ] 1325 +[p][re] -> [pre] 1326 +[, 200][2] -> [, 2002] 1327 +[, ][he ] -> [, he ] 1328 +[u][di] -> [udi] 1329 +[4][0] -> [40] 1330 +[ || align=right | ][1.] -> [ || align=right | 1.] 1331 +[ed by ][the ] -> [ed by the ] 1332 +[Euro][pe] -> [Europe] 1333 +[p][ag] -> [pag] 1334 +[, ][201] -> [, 201] 1335 +[l][angu] -> [langu] 1336 +[l][es ] -> [les ] 1337 +[el][y ] -> [ely ] 1338 +[ul][t] -> [ult] 1339 +[li][f] -> [lif] 1340 +[it][t] -> [itt] 1341 +[er][n ] -> [ern ] 1342 +[K][ing] -> [King] 1343 +[Peopl][e ] -> [People ] 1344 +[m][e ] -> [me ] 1345 +[di][v] -> [div] 1346 +[tim][e ] -> [time ] 1347 +[l][d] -> [ld] 1348 +[l][oc] -> [loc] 1349 +[th][roug] -> [throug] 1350 +[n][ew ] -> [new ] 1351 +[was ][an ] -> [was an ] 1352 +[Nor][th ] -> [North ] 1353 +[\u000a][The ] -> [\u000aThe ] 1354 +[one ][of the ] -> [one of the ] 1355 +[u][k] -> [uk] 1356 +[em][ent ] -> [ement ] 1357 +[, ][American ] -> [, American ] 1358 +[dep][art] -> [depart] 1359 +[se][as] -> [seas] 1360 +[differ][ent ] -> [different ] 1361 +[p][ ] -> [p ] 1362 +[New Yor][k ] -> [New York ] 1363 +[th][ree ] -> [three ] 1364 +[th][oug] -> [thoug] 1365 +[M][an] -> [Man] 1366 +[ed ][in the ] -> [ed in the ] 1367 +[dist][ric] -> [distric] 1368 +[. ][F] -> [. F] 1369 +[O][S] -> [OS] 1370 +[ic][t] -> [ict] 1371 +[ag][ain] -> [again] 1372 +[.][S] -> [.S] 1373 +[Com][mun] -> [Commun] 1374 +[M][ovi] -> [Movi] 1375 +[(][b. ] -> [(b. ] 1376 +[R][el] -> [Rel] 1377 +[s][el] -> [sel] 1378 +[a ][m] -> [a m] 1379 +[ar][m] -> [arm] 1380 +[o][th] -> [oth] 1381 +[f][ol] -> [fol] 1382 +[ia][, ] -> [ia, ] 1383 +[0][s ] -> [0s ] 1384 +[e][k] -> [ek] 1385 +[i][x] -> [ix] 1386 +[g][re] -> [gre] 1387 +[.\u000a\u000a][In ] -> [.\u000a\u000aIn ] 1388 +[h][t ] -> [ht ] 1389 +[P][art] -> [Part] 1390 +[Ch][in] -> [Chin] 1391 +[Ge][org] -> [Georg] 1392 +[ear][ ] -> [ear ] 1393 +[ || || — || ][October ] -> [ || || — || October ] 1394 +[mus][ic] -> [music] 1395 +[to ][be ] -> [to be ] 1396 +[t][ri] -> [tri] 1397 +[(][born ] -> [(born ] 1398 +[i][es] -> [ies] 1399 +[en][, ] -> [en, ] 1400 +['][ ] -> [' ] 1401 +[ac][e ] -> [ace ] 1402 +[ser][ies ] -> [series ] 1403 +[w][ay] -> [way] 1404 +[d][ev] -> [dev] 1405 +[ther][n ] -> [thern ] 1406 +[ag][e of ] -> [age of ] 1407 +[pres][ent] -> [present] 1408 +[ly][mp] -> [lymp] 1409 +[i][for] -> [ifor] 1410 +[b][el] -> [bel] 1411 +[United Stat][es] -> [United States] 1412 +[ro][s] -> [ros] 1413 +[am][a ] -> [ama ] 1414 +[m][ay ] -> [may ] 1415 +[ch][ar] -> [char] 1416 +[th][en ] -> [then ] 1417 +[c][ar] -> [car] 1418 +[d][o] -> [do] 1419 +[in][v] -> [inv] 1420 +[s ][were ] -> [s were ] 1421 +[er][t] -> [ert] 1422 +[,][00] -> [,00] 1423 +[\u000a \u000a ][\u000a \u000a ] -> [\u000a \u000a \u000a \u000a ] 1424 +[C][ent] -> [Cent] 1425 +[O][lymp] -> [Olymp] 1426 +[es][ter] -> [ester] 1427 +[in][e] -> [ine] 1428 +[it][al ] -> [ital ] 1429 +[ia][\u000a] -> [ia\u000a] 1430 +[ain][t] -> [aint] 1431 +[be][g] -> [beg] 1432 +[ation ][of ] -> [ation of ] 1433 +[footb][all] -> [football] 1434 +[p][or] -> [por] 1435 +[ifor][n] -> [iforn] 1436 +[i][, ] -> [i, ] 1437 +[I][ ] -> [I ] 1438 +[U][.S] -> [U.S] 1439 +[W][ar] -> [War] 1440 +[, 2000][ || Socorro || LINEAR || — || align=right | ] -> [, 2000 || Socorro || LINEAR || — || align=right | ] 1441 +[d][o ] -> [do ] 1442 +[i][re] -> [ire] 1443 +[an][, ] -> [an, ] 1444 +["][ (] -> [" (] 1445 +[2][ km || \u000a|-id=] -> [2 km || \u000a|-id=] 1446 +[R][ob] -> [Rob] 1447 +[B][ar] -> [Bar] 1448 +[s][ol] -> [sol] 1449 +[s][a] -> [sa] 1450 +[com][m] -> [comm] 1451 +[ed ][a ] -> [ed a ] 1452 +[te][am] -> [team] 1453 +[A][m] -> [Am] 1454 +[s][ame ] -> [same ] 1455 +[ac][c] -> [acc] 1456 +[Cal][iforn] -> [Californ] 1457 +[v][ers] -> [vers] 1458 +[s][ub] -> [sub] 1459 +[at][or] -> [ator] 1460 +[5][.] -> [5.] 1461 +[ing][, ] -> [ing, ] 1462 +[e][al] -> [eal] 1463 +[sec][ond ] -> [second ] 1464 +[pr][of] -> [prof] 1465 +[y ][and ] -> [y and ] 1466 +[Af][ric] -> [Afric] 1467 +[ig][in] -> [igin] 1468 +[z][ ] -> [z ] 1469 +[form][er ] -> [former ] 1470 +[w][om] -> [wom] 1471 +[ap][p] -> [app] 1472 +[b][um] -> [bum] 1473 +[can ][be ] -> [can be ] 1474 +[O][ff] -> [Off] 1475 +[8][0] -> [80] 1476 +[n][o ] -> [no ] 1477 +[Pres][ident ] -> [President ] 1478 +[wor][k ] -> [work ] 1479 +[t][own ] -> [town ] 1480 +[4][ km || \u000a|-id=] -> [4 km || \u000a|-id=] 1481 +[an][im] -> [anim] 1482 +[3][ km || \u000a|-id=] -> [3 km || \u000a|-id=] 1483 +[1][ km || \u000a|-id=] -> [1 km || \u000a|-id=] 1484 +[es ][the ] -> [es the ] 1485 +[E][d] -> [Ed] 1486 +[Ger][man] -> [German] 1487 +[D][ea] -> [Dea] 1488 +[s][ou] -> [sou] 1489 +[a ][and ] -> [a and ] 1490 +[a][ || ] -> [a || ] 1491 +[a][\u000a ] -> [a\u000a ] 1492 +[a][x] -> [ax] 1493 +[am][pl] -> [ampl] 1494 +[S][er] -> [Ser] 1495 +[am][m] -> [amm] 1496 +[l][aw] -> [law] 1497 +[c][aus] -> [caus] 1498 +[N][e] -> [Ne] 1499 +[p][ac] -> [pac] 1500 +[al][e ] -> [ale ] 1501 +[hi][m ] -> [him ] 1502 +[s][ome] -> [some] 1503 +[of][ten ] -> [often ] 1504 +[Ch][ar] -> [Char] 1505 +[sy][stem] -> [system] 1506 +[ap][pe] -> [appe] 1507 +[Rep][ubl] -> [Republ] 1508 +[f][ound] -> [found] 1509 +[b][ro] -> [bro] 1510 +[\u000a\u000a][ ] -> [\u000a\u000a ] 1511 +[G][en] -> [Gen] 1512 +[7][0] -> [70] 1513 +[) ][was a ] -> [) was a ] 1514 +[sti][t] -> [stit] 1515 +[f][r] -> [fr] 1516 +[or ][of ] -> [or of ] 1517 +[or][n] -> [orn] 1518 +[, ][but ] -> [, but ] 1519 +[u][al ] -> [ual ] 1520 +[throug][h ] -> [through ] 1521 +[ers ][from ] -> [ers from ] 1522 +[D][i] -> [Di] 1523 +[Min][ist] -> [Minist] 1524 +[�][�] -> [á] 1525 +[s, ][and ] -> [s, and ] 1526 +[ti][ve ] -> [tive ] 1527 +[a][ur] -> [aur] 1528 +[5][ km || \u000a|-id=] -> [5 km || \u000a|-id=] 1529 +[ou][t] -> [out] 1530 +[om][ar] -> [omar] 1531 +[ing ][to ] -> [ing to ] 1532 +[es ][(] -> [es (] 1533 +[iti][es in ] -> [ities in ] 1534 +[18][9] -> [189] 1535 +[gro][up] -> [group] 1536 +[a ][S] -> [a S] 1537 +[m][il] -> [mil] 1538 +[m][et] -> [met] 1539 +[m][od] -> [mod] 1540 +[oun][c] -> [ounc] 1541 +[l][ater ] -> [later ] 1542 +[id][e ] -> [ide ] 1543 +[er][\u000a] -> [er\u000a] 1544 +[||0][||] -> [||0||] 1545 +[it][t ] -> [itt ] 1546 +[Leag][ue ] -> [League ] 1547 +[mun][icipal] -> [municipal] 1548 +[Rel][ated ] -> [Related ] 1549 +[re][t] -> [ret] 1550 +[ers][on] -> [erson] 1551 +[y][.\u000a\u000a] -> [y.\u000a\u000a] 1552 +[le][ad] -> [lead] 1553 +[a][ul] -> [aul] 1554 +[it ][is ] -> [it is ] 1555 +[ion][al ] -> [ional ] 1556 +[ || ][Pal] -> [ || Pal] 1557 +[again][st ] -> [against ] 1558 +[6][ km || \u000a|-id=] -> [6 km || \u000a|-id=] 1559 +[E][x] -> [Ex] 1560 +[act][res] -> [actres] 1561 +[ro][p] -> [rop] 1562 +[L][ond] -> [Lond] 1563 +[establishment][s in ] -> [establishments in ] 1564 +[ec][t ] -> [ect ] 1565 +[Japan][ese ] -> [Japanese ] 1566 +[a][ug] -> [aug] 1567 +[mus][ic ] -> [music ] 1568 +[R][e] -> [Re] 1569 +[such ][as ] -> [such as ] 1570 +[f][il] -> [fil] 1571 +[(][d. ] -> [(d. ] 1572 +[bu][m ] -> [bum ] 1573 +[s ][for ] -> [s for ] 1574 +[ow][ev] -> [owev] 1575 +[s][. The ] -> [s. The ] 1576 +[y][n] -> [yn] 1577 +[sc][i] -> [sci] 1578 +[. ][W] -> [. W] 1579 +[Count][y, ] -> [County, ] 1580 +[S][ ] -> [S ] 1581 +[c][are] -> [care] 1582 +[e ][in the ] -> [e in the ] 1583 +[m][ember ] -> [member ] 1584 +[m][er ] -> [mer ] 1585 +[m][at] -> [mat] 1586 +[a ][l] -> [a l] 1587 +[ || Pal][omar] -> [ || Palomar] 1588 +[Related ][pag] -> [Related pag] 1589 +[ea][ch ] -> [each ] 1590 +[them][ ] -> [them ] 1591 +[t][o] -> [to] 1592 +[e][an ] -> [ean ] 1593 +[. ][D] -> [. D] 1594 +[I][r] -> [Ir] 1595 +[Pe][ak] -> [Peak] 1596 +[6][0] -> [60] 1597 +[7][ km || \u000a|-id=] -> [7 km || \u000a|-id=] 1598 +[i][o ] -> [io ] 1599 +[8][8] -> [88] 1600 +[, ][which ] -> [, which ] 1601 +[ || || — || ][March ] -> [ || || — || March ] 1602 +[e][. The ] -> [e. The ] 1603 +[d ][of ] -> [d of ] 1604 +[e][\u000a\u000a] -> [e\u000a\u000a] 1605 +[ist][ory ] -> [istory ] 1606 +[A][ct] -> [Act] 1607 +[ed ][with ] -> [ed with ] 1608 +[2][1] -> [21] 1609 +[E][ar] -> [Ear] 1610 +[ || K][itt ] -> [ || Kitt ] 1611 +[el][op] -> [elop] 1612 +[org][an] -> [organ] 1613 +[5][9] -> [59] 1614 +[str][uc] -> [struc] 1615 +[W][al] -> [Wal] 1616 +[coun][tr] -> [countr] 1617 +[t][yp] -> [typ] 1618 +[ew][atch] -> [ewatch] 1619 +[ro][c] -> [roc] 1620 +[er ][of the ] -> [er of the ] 1621 +[ || Palomar][ || ] -> [ || Palomar || ] 1622 +[mak][e ] -> [make ] 1623 +[er][y ] -> [ery ] 1624 +[er][g] -> [erg] 1625 +[ing ][a ] -> [ing a ] 1626 +[r][y ] -> [ry ] 1627 +[di][d ] -> [did ] 1628 +[ || Kitt ][Peak] -> [ || Kitt Peak] 1629 +[B][el] -> [Bel] 1630 +[ ][M] -> [ M] 1631 +[0][ km || \u000a|-id=] -> [0 km || \u000a|-id=] 1632 +[al][bum] -> [album] 1633 +[8][ km || \u000a|-id=] -> [8 km || \u000a|-id=] 1634 +[ || S][pac] -> [ || Spac] 1635 +[E][m] -> [Em] 1636 +[) ][(] -> [) (] 1637 +[ampion][ship] -> [ampionship] 1638 +[he ][was ] -> [he was ] 1639 +[play][ers\u000a] -> [players\u000a] 1640 +[d][ay] -> [day] 1641 +[ro][l] -> [rol] 1642 +[B][ra] -> [Bra] 1643 +[nam][ed ] -> [named ] 1644 +[Movi][es ] -> [Movies ] 1645 +[wi][th] -> [with] 1646 +[p][ow] -> [pow] 1647 +[par][t of the ] -> [part of the ] 1648 +[al][bum ] -> [album ] 1649 +[di][ed ] -> [died ] 1650 +[t][re] -> [tre] 1651 +[ation][s ] -> [ations ] 1652 +[NEA][T] -> [NEAT] 1653 +[st][or] -> [stor] 1654 +[, ][S] -> [, S] 1655 +[sa][id ] -> [said ] 1656 +[en]['s ] -> [en's ] 1657 +[Wh][en ] -> [When ] 1658 +[Ital][ian ] -> [Italian ] 1659 +[J][am] -> [Jam] 1660 +[ur][e ] -> [ure ] 1661 +[g][iv] -> [giv] 1662 +[d][er] -> [der] 1663 +[ || Spac][ewatch] -> [ || Spacewatch] 1664 +[h][er] -> [her] 1665 +[ing ][in ] -> [ing in ] 1666 +[m][ed] -> [med] 1667 +[c][e ] -> [ce ] 1668 +[es ][\u000a ] -> [es \u000a ] 1669 +[es ][are ] -> [es are ] 1670 +[ub][ ] -> [ub ] 1671 +[th][ese ] -> [these ] 1672 +[w][ill ] -> [will ] 1673 +[by ][the ] -> [by the ] 1674 +[7][9] -> [79] 1675 +[King][dom] -> [Kingdom] 1676 +[e]['s ] -> [e's ] 1677 +[. ][L] -> [. L] 1678 +[st][ar] -> [star] 1679 +[Off][ic] -> [Offic] 1680 +[s][on] -> [son] 1681 +[und][er ] -> [under ] 1682 +[s][ince ] -> [since ] 1683 +[as][k] -> [ask] 1684 +[it ][was ] -> [it was ] 1685 +[year][s ] -> [years ] 1686 +[y][l] -> [yl] 1687 +[7][, ] -> [7, ] 1688 +[7][3] -> [73] 1689 +[)][.\u000a\u000a] -> [).\u000a\u000a] 1690 +[has ][been ] -> [has been ] 1691 +[. H][is ] -> [. His ] 1692 +[Sc][ot] -> [Scot] 1693 +[te][am ] -> [team ] 1694 +[w][inn] -> [winn] 1695 +[G][overn] -> [Govern] 1696 +[that ][the ] -> [that the ] 1697 +[v][o] -> [vo] 1698 +[un][g] -> [ung] 1699 +[ || Kitt Peak][ || Spacewatch] -> [ || Kitt Peak || Spacewatch] 1700 +[er][t ] -> [ert ] 1701 +[is][m] -> [ism] 1702 +[T][e] -> [Te] 1703 +[9][ km || \u000a|-id=] -> [9 km || \u000a|-id=] 1704 +[u][st] -> [ust] 1705 +[uc][c] -> [ucc] 1706 +[a ][c] -> [a c] 1707 +[An][g] -> [Ang] 1708 +[ed][, ] -> [ed, ] 1709 +[ar][ch] -> [arch] 1710 +[Ar][m] -> [Arm] 1711 +[As][s] -> [Ass] 1712 +[ar][ound ] -> [around ] 1713 +[tim][es ] -> [times ] 1714 +[d][at] -> [dat] 1715 +[) ][was an ] -> [) was an ] 1716 +[7][4] -> [74] 1717 +[com][pl] -> [compl] 1718 +[�][�] -> [ö] 1719 +[W][illi] -> [Willi] 1720 +[a][ch ] -> [ach ] 1721 +[fol][low] -> [follow] 1722 +[ || || — || ][August ] -> [ || || — || August ] 1723 +[mar][ri] -> [marri] 1724 +[us][ually ] -> [usually ] 1725 +[M][ich] -> [Mich] 1726 +[on][om] -> [onom] 1727 +[7][6] -> [76] 1728 +[dur][ing the ] -> [during the ] 1729 +[was ][born in ] -> [was born in ] 1730 +[�][�] -> [’] 1731 +[us][in] -> [usin] 1732 +[le][v] -> [lev] 1733 +[ed to ][the ] -> [ed to the ] 1734 +[sh][ow] -> [show] 1735 +[. ][K] -> [. K] 1736 +[7][5] -> [75] 1737 +[ || || — || ][December ] -> [ || || — || December ] 1738 +[a][ut] -> [aut] 1739 +[, 2001][ || Socorro || LINEAR || — || align=right | ] -> [, 2001 || Socorro || LINEAR || — || align=right | ] 1740 +[ear][ly ] -> [early ] 1741 +[ig][n ] -> [ign ] 1742 +[op][er] -> [oper] 1743 +[st][udi] -> [studi] 1744 +[h][um] -> [hum] 1745 +[-][d] -> [-d] 1746 +[h][istor] -> [histor] 1747 +[t][on] -> [ton] 1748 +[are][a ] -> [area ] 1749 +[s][chool] -> [school] 1750 +[appe][ar] -> [appear] 1751 +[om][ ] -> [om ] 1752 +[ester][n ] -> [estern ] 1753 +[el][d] -> [eld] 1754 +[ing][s ] -> [ings ] 1755 +[tion][al ] -> [tional ] 1756 +[M][e] -> [Me] 1757 +[or][igin] -> [origin] 1758 +[prof][ess] -> [profess] 1759 +[im][port] -> [import] 1760 +[t][e ] -> [te ] 1761 +[our][n] -> [ourn] 1762 +[c][ould ] -> [could ] 1763 +[201][0] -> [2010] 1764 +[A][b] -> [Ab] 1765 +[Dea][th] -> [Death] 1766 +[D][is] -> [Dis] 1767 +[3][, ] -> [3, ] 1768 +[direct][ed by ] -> [directed by ] 1769 +[T][ur] -> [Tur] 1770 +[Th][is ] -> [This ] 1771 +[3][9] -> [39] 1772 +[l][ong] -> [long] 1773 +[,00][0 ] -> [,000 ] 1774 +[be][ing ] -> [being ] 1775 +[t ][in ] -> [t in ] 1776 +[Canad][ian ] -> [Canadian ] 1777 +[owev][er, ] -> [owever, ] 1778 +[\u000a][S] -> [\u000aS] 1779 +[) ][is an ] -> [) is an ] 1780 +[ers][, ] -> [ers, ] 1781 +[k][ill] -> [kill] 1782 +[. Th][ere ] -> [. There ] 1783 +[char][ac] -> [charac] 1784 +[W][ar ] -> [War ] 1785 +[id][g] -> [idg] 1786 +[bo][th ] -> [both ] 1787 +[known ][as ] -> [known as ] 1788 +[B][o] -> [Bo] 1789 +[ex][ampl] -> [exampl] 1790 +[People ][from ] -> [People from ] 1791 +[M][es] -> [Mes] 1792 +[ou][ ] -> [ou ] 1793 +[2][2] -> [22] 1794 +[�][�] -> [ü] 1795 +[ed ][and ] -> [ed and ] 1796 +[7][8] -> [78] 1797 +[|][-] -> [|-] 1798 +[b][efore ] -> [before ] 1799 +[a ][f] -> [a f] 1800 +[ing ][of ] -> [ing of ] 1801 +[th ][centur] -> [th centur] 1802 +[atic][ ] -> [atic ] 1803 +[U.S][. ] -> [U.S. ] 1804 +[r][al ] -> [ral ] 1805 +[becaus][e ] -> [because ] 1806 +[gro][up ] -> [group ] 1807 +[6][5] -> [65] 1808 +[g][ame ] -> [game ] 1809 +[. ][The ] -> [. The ] 1810 +[b][re] -> [bre] 1811 +[j][o] -> [jo] 1812 +[Au][stri] -> [Austri] 1813 +[6][4] -> [64] 1814 +[w][ar] -> [war] 1815 +[Q][u] -> [Qu] 1816 +[h][im] -> [him] 1817 +[dea][th] -> [death] 1818 +[t][t] -> [tt] 1819 +[v][ide] -> [vide] 1820 +[al][s ] -> [als ] 1821 +[ || || — || ][November ] -> [ || || — || November ] 1822 +[||][4] -> [||4] 1823 +[comp][os] -> [compos] 1824 +[ic][an ] -> [ican ] 1825 +[es ][to ] -> [es to ] 1826 +[P][er] -> [Per] 1827 +[reg][ion ] -> [region ] 1828 +[ed ][as ] -> [ed as ] 1829 +[d][e] -> [de] 1830 +[pl][e ] -> [ple ] 1831 +[a ][p] -> [a p] 1832 +[R][o] -> [Ro] 1833 +[.\u000a\u000a][H] -> [.\u000a\u000aH] 1834 +[depart][ment ] -> [department ] 1835 +[P][et] -> [Pet] 1836 +[.\u000a\u000a][S] -> [.\u000a\u000aS] 1837 +[di][ed on ] -> [died on ] 1838 +[m][ain ] -> [main ] 1839 +[known ][for ] -> [known for ] 1840 +[dr][ama ] -> [drama ] 1841 +[Sw][ed] -> [Swed] 1842 +[1][0 ] -> [10 ] 1843 +[ist][s\u000a] -> [ists\u000a] 1844 +[ad][em] -> [adem] 1845 +[a][ff] -> [aff] 1846 +[col][span="2"|] -> [colspan="2"|] 1847 +[s][l] -> [sl] 1848 +[pro][gr] -> [progr] 1849 +[cur][r] -> [curr] 1850 +[at][ing ] -> [ating ] 1851 +[6][, ] -> [6, ] 1852 +[ex][t] -> [ext] 1853 +[b][est ] -> [best ] 1854 +[V][i] -> [Vi] 1855 +[colspan="2"|][-] -> [colspan="2"|-] 1856 +[&][ ] -> [& ] 1857 +[B][e] -> [Be] 1858 +[D][em] -> [Dem] 1859 +[\u000a ][S] -> [\u000a S] 1860 +[6][9] -> [69] 1861 +[s][im] -> [sim] 1862 +[3][4] -> [34] 1863 +[if][ ] -> [if ] 1864 +[u][n ] -> [un ] 1865 +[tion ][of ] -> [tion of ] 1866 +[uc][k] -> [uck] 1867 +[li][m] -> [lim] 1868 +[Ph][il] -> [Phil] 1869 +[sev][eral ] -> [several ] 1870 +[at the ][age of ] -> [at the age of ] 1871 +[un][n] -> [unn] 1872 +[bu][il] -> [buil] 1873 +[H][er] -> [Her] 1874 +[3][5] -> [35] 1875 +[ch][il] -> [chil] 1876 +[\u000a ]["] -> [\u000a "] 1877 +[20][ ] -> [20 ] 1878 +[And][erson ] -> [Anderson ] 1879 +[h][y] -> [hy] 1880 +[D][av] -> [Dav] 1881 +[, 199][8] -> [, 1998] 1882 +[\u000a|-\u000a|][199] -> [\u000a|-\u000a|199] 1883 +[Indi][an ] -> [Indian ] 1884 +[Inter][national ] -> [International ] 1885 +[id][ent] -> [ident] 1886 +[ir][d ] -> [ird ] 1887 +[\u000a\u000aReferences\u000a\u000a][Other websit] -> [\u000a\u000aReferences\u000a\u000aOther websit] 1888 +[ati][v] -> [ativ] 1889 +[us][e ] -> [use ] 1890 +[||row][span="] -> [||rowspan="] 1891 +[E][v] -> [Ev] 1892 +[ar][ti] -> [arti] 1893 +[e, ][and ] -> [e, and ] 1894 +[it][z] -> [itz] 1895 +[l][ef] -> [lef] 1896 +[min][ist] -> [minist] 1897 +[�][�] -> [í] 1898 +[tr][ans] -> [trans] 1899 +[w][on ] -> [won ] 1900 +[r][e ] -> [re ] 1901 +[r][ac] -> [rac] 1902 +[m][illi] -> [milli] 1903 +[i][ev] -> [iev] 1904 +[um][b] -> [umb] 1905 +[n][ow ] -> [now ] 1906 +["][, ] -> [", ] 1907 +[R][ec] -> [Rec] 1908 +[wor][ld] -> [world] 1909 +[B][ro] -> [Bro] 1910 +[e][k ] -> [ek ] 1911 +[2020][ ] -> [2020 ] 1912 +[G][l] -> [Gl] 1913 +[m][u] -> [mu] 1914 +[w][ent ] -> [went ] 1915 +[3][8] -> [38] 1916 +[dev][elop] -> [develop] 1917 +[el][ect] -> [elect] 1918 +[d][ef] -> [def] 1919 +[p][ri] -> [pri] 1920 +[. ][T] -> [. T] 1921 +[a ][b] -> [a b] 1922 +[4][, ] -> [4, ] 1923 +[t ][the ] -> [t the ] 1924 +[Austral][ian ] -> [Australian ] 1925 +[f][ic] -> [fic] 1926 +[6][.] -> [6.] 1927 +[re][as] -> [reas] 1928 +[s][pe] -> [spe] 1929 +[g][et ] -> [get ] 1930 +[v][is] -> [vis] 1931 +[ || align=right | ][2.] -> [ || align=right | 2.] 1932 +[un][d ] -> [und ] 1933 +[H][ol] -> [Hol] 1934 +[m][o] -> [mo] 1935 +[Count][y ] -> [County ] 1936 +[Aw][ard ] -> [Award ] 1937 +[care][er ] -> [career ] 1938 +[ed ][for ] -> [ed for ] 1939 +[S][ec] -> [Sec] 1940 +[s][tic] -> [stic] 1941 +[Sp][ort] -> [Sport] 1942 +[H][ous] -> [Hous] 1943 +[st][ud] -> [stud] 1944 +[s][ucc] -> [succ] 1945 +[, and ][the ] -> [, and the ] 1946 +[al][, ] -> [al, ] 1947 +[for][m ] -> [form ] 1948 +[member ][of the ] -> [member of the ] 1949 +[c][r] -> [cr] 1950 +[per][i] -> [peri] 1951 +[ch][n] -> [chn] 1952 +[18][8] -> [188] 1953 +[6][8] -> [68] 1954 +[o][x] -> [ox] 1955 +[5][, ] -> [5, ] 1956 +[e][. It is ] -> [e. It is ] 1957 +[Sp][an] -> [Span] 1958 +[f][a] -> [fa] 1959 +[ed][y ] -> [edy ] 1960 +[c][as] -> [cas] 1961 +[k][et] -> [ket] 1962 +[w][ ] -> [w ] 1963 +[ad][d] -> [add] 1964 +[D][ist] -> [Dist] 1965 +[e ][is ] -> [e is ] 1966 +[H][ar] -> [Har] 1967 +[f][our ] -> [four ] 1968 +[Bra][z] -> [Braz] 1969 +[me][an] -> [mean] 1970 +[ || || — || ][January ] -> [ || || — || January ] 1971 +[ || ][Anderson ] -> [ || Anderson ] 1972 +[om][in] -> [omin] 1973 +[ist ][of ] -> [ist of ] 1974 +[people ][from ] -> [people from ] 1975 +[ac][tiv] -> [activ] 1976 +[F][ootb] -> [Footb] 1977 +[w][ell ] -> [well ] 1978 +[bur][g] -> [burg] 1979 +[is a ][commun] -> [is a commun] 1980 +[w][est ] -> [west ] 1981 +[T][V] -> [TV] 1982 +[ing ][and ] -> [ing and ] 1983 +[p][er ] -> [per ] 1984 +[ic][k ] -> [ick ] 1985 +[id][d] -> [idd] 1986 +[it][ary ] -> [itary ] 1987 +[�][�] -> [ó] 1988 +[tur][n] -> [turn] 1989 +[P][aul] -> [Paul] 1990 +[us][ed to ] -> [used to ] 1991 +[y][-] -> [y-] 1992 +[res][s] -> [ress] 1993 +[ || || — || ][February ] -> [ || || — || February ] 1994 +[pl][ay ] -> [play ] 1995 +[count][ri] -> [countri] 1996 +[r][ul] -> [rul] 1997 +[H][e] -> [He] 1998 +[M][c] -> [Mc] 1999 +[ || Anderson ][Mes] -> [ || Anderson Mes] 2000 +[i][m ] -> [im ] 2001 +[in][a ] -> [ina ] 2002 +[a][-] -> [a-] 2003 +[import][ant ] -> [important ] 2004 +[om][b] -> [omb] 2005 +[C][or] -> [Cor] 2006 +[Ch][ampionship] -> [Championship] 2007 +[Offic][ial ] -> [Official ] 2008 +[NE][OS] -> [NEOS] 2009 +[. A][f] -> [. Af] 2010 +[Commun][es in ] -> [Communes in ] 2011 +[i][th] -> [ith] 2012 +[ev][ent] -> [event] 2013 +[l][l ] -> [ll ] 2014 +[includ][ing ] -> [including ] 2015 +[st][e] -> [ste] 2016 +[l][et] -> [let] 2017 +[er][-] -> [er-] 2018 +[S][e] -> [Se] 2019 +[Russ][ian ] -> [Russian ] 2020 +[h][ear] -> [hear] 2021 +[as][s ] -> [ass ] 2022 +[t][, ] -> [t, ] 2023 +[K][or] -> [Kor] 2024 +[ak][e ] -> [ake ] 2025 +[es ][in the ] -> [es in the ] 2026 +[is][ti] -> [isti] 2027 +[people ][liv] -> [people liv] 2028 +[rec][ord] -> [record] 2029 +[8][, ] -> [8, ] 2030 +[, 200][3] -> [, 2003] 2031 +[United ][Kingdom] -> [United Kingdom] 2032 +[C][o] -> [Co] 2033 +[, 2000][ || Socorro || LINEAR || ] -> [, 2000 || Socorro || LINEAR || ] 2034 +[|-][\u000a|] -> [|-\u000a|] 2035 +[B][u] -> [Bu] 2036 +[ig][ ] -> [ig ] 2037 +[in][to the ] -> [into the ] 2038 +[9][0] -> [90] 2039 +[larg][e ] -> [large ] 2040 +[in ][a ] -> [in a ] 2041 +[L][ou] -> [Lou] 2042 +[man][ag] -> [manag] 2043 +[4][5] -> [45] 2044 +[R][eg] -> [Reg] 2045 +[w][ater ] -> [water ] 2046 +[govern][ment ] -> [government ] 2047 +[D][r] -> [Dr] 2048 +[c][ul] -> [cul] 2049 +[c][anc] -> [canc] 2050 +[b][ack ] -> [back ] 2051 +[oc][r] -> [ocr] 2052 +[c][an] -> [can] 2053 +[C][r] -> [Cr] 2054 +[des][ign] -> [design] 2055 +[a][ || L] -> [a || L] 2056 +[is][ion] -> [ision] 2057 +[st][ate ] -> [state ] 2058 +[or][d ] -> [ord ] 2059 +[Ang][el] -> [Angel] 2060 +[F][ir] -> [Fir] 2061 +[b][i] -> [bi] 2062 +[is][, ] -> [is, ] 2063 +[O][NEOS] -> [ONEOS] 2064 +[par][t of ] -> [part of ] 2065 +[ip][p] -> [ipp] 2066 +[s][ign] -> [sign] 2067 +[A][ir] -> [Air] 2068 +[writ][ten ] -> [written ] 2069 +[ev][er ] -> [ever ] 2070 +[n][e ] -> [ne ] 2071 +[Univers][ity of ] -> [University of ] 2072 +[langu][ag] -> [languag] 2073 +[A][g] -> [Ag] 2074 +[act][or ] -> [actor ] 2075 +[bu][ild] -> [build] 2076 +[in][k] -> [ink] 2077 +[at][er] -> [ater] 2078 +[. Af][ter ] -> [. After ] 2079 +[f][ac] -> [fac] 2080 +[publ][ish] -> [publish] 2081 +[count][y ] -> [county ] 2082 +[thoug][h ] -> [though ] 2083 +[19][ ] -> [19 ] 2084 +[ev][en ] -> [even ] 2085 +[v][ol] -> [vol] 2086 +[langu][age ] -> [language ] 2087 +[ers ][of ] -> [ers of ] 2088 +[m][emb] -> [memb] 2089 +[e][di] -> [edi] 2090 +[y]['s ] -> [y's ] 2091 +[J][os] -> [Jos] 2092 +[Aw][ard] -> [Award] 2093 +[Rom][an ] -> [Roman ] 2094 +[ur][ ] -> [ur ] 2095 +[n][ear ] -> [near ] 2096 +[S][up] -> [Sup] 2097 +[l][ov] -> [lov] 2098 +[sp][ort] -> [sport] 2099 +[dis][c] -> [disc] 2100 +[r][ight] -> [right] 2101 +[ || Anderson Mes][a || L] -> [ || Anderson Mesa || L] 2102 +[cont][in] -> [contin] 2103 +[Act][or] -> [Actor] 2104 +[Jap][an ] -> [Japan ] 2105 +[er][. He ] -> [er. He ] 2106 +[. ][A ] -> [. A ] 2107 +[ra][f] -> [raf] 2108 +[a][k ] -> [ak ] 2109 +[Pol][itic] -> [Politic] 2110 +[with ][a ] -> [with a ] 2111 +[M][ex] -> [Mex] 2112 +[an][e ] -> [ane ] 2113 +[l][ast ] -> [last ] 2114 +[y][\u000a ] -> [y\u000a ] 2115 +[/][0] -> [/0] 2116 +[C][ity] -> [City] 2117 +[did ][not ] -> [did not ] 2118 +[4][8] -> [48] 2119 +[v][ill] -> [vill] 2120 +[T][im] -> [Tim] 2121 +[Engl][and] -> [England] 2122 +[has ][a ] -> [has a ] 2123 +[n][ew] -> [new] 2124 +[C][ities in ] -> [Cities in ] 2125 +[a][.\u000a\u000a] -> [a.\u000a\u000a] 2126 +[have ][been ] -> [have been ] 2127 +[v][al] -> [val] 2128 +[aj][or ] -> [ajor ] 2129 +[beg][an ] -> [began ] 2130 +[m][ag] -> [mag] 2131 +[op][h] -> [oph] 2132 +[is][od] -> [isod] 2133 +[is][m ] -> [ism ] 2134 +[b][ook] -> [book] 2135 +[famil][y ] -> [family ] 2136 +[p][ort ] -> [port ] 2137 +[F][L] -> [FL] 2138 +[it][y, ] -> [ity, ] 2139 +[b][ir] -> [bir] 2140 +[s][ong ] -> [song ] 2141 +[k][e] -> [ke] 2142 +[ || || — || ][April ] -> [ || || — || April ] 2143 +[T][ex] -> [Tex] 2144 +[stit][u] -> [stitu] 2145 +[S][ch] -> [Sch] 2146 +[vide][o ] -> [video ] 2147 +[�][�] -> [ä] 2148 +[s][ch] -> [sch] 2149 +[1][2 ] -> [12 ] 2150 +[ock][ey ] -> [ockey ] 2151 +[Fl][or] -> [Flor] 2152 +[i][ef] -> [ief] 2153 +[ || Anderson Mesa || L][ONEOS] -> [ || Anderson Mesa || LONEOS] 2154 +[for][c] -> [forc] 2155 +[M][ed] -> [Med] 2156 +[U][S] -> [US] 2157 +[h][al] -> [hal] 2158 +[Pro][v] -> [Prov] 2159 +[pro][t] -> [prot] 2160 +[A][le] -> [Ale] 2161 +[Dist][ric] -> [Distric] 2162 +[o][-] -> [o-] 2163 +[h][av] -> [hav] 2164 +[d][er ] -> [der ] 2165 +[W][est ] -> [West ] 2166 +[sh][ow ] -> [show ] 2167 +[per][form] -> [perform] 2168 +[b][ut] -> [but] 2169 +[�][�] -> [è] 2170 +[||||][||||] -> [||||||||] 2171 +[an][k ] -> [ank ] 2172 +[res][tl] -> [restl] 2173 +[G][am] -> [Gam] 2174 +[N][Y] -> [NY] 2175 +[Chr][isti] -> [Christi] 2176 +[bl][em] -> [blem] 2177 +[b][all ] -> [ball ] 2178 +[3][3] -> [33] 2179 +[4][9] -> [49] 2180 +[is ][also ] -> [is also ] 2181 +[.\u000a\u000aReferences\u000a\u000aOther websit][es\u000a\u000a] -> [.\u000a\u000aReferences\u000a\u000aOther websites\u000a\u000a] 2182 +[larg][est ] -> [largest ] 2183 +[on][s] -> [ons] 2184 +[m][a] -> [ma] 2185 +[f][ri] -> [fri] 2186 +[. 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It ] 2362 +[P][ort] -> [Port] 2363 +[municipal][ity ] -> [municipality ] 2364 +[an][ch] -> [anch] 2365 +[200][9] -> [2009] 2366 +[popul][ation ] -> [population ] 2367 +[s][il] -> [sil] 2368 +[ul][ar ] -> [ular ] 2369 +[F][in] -> [Fin] 2370 +[rece][iv] -> [receiv] 2371 +[ || — || align=right | ][1.] -> [ || — || align=right | 1.] 2372 +[dur][ing ] -> [during ] 2373 +[Georg][e ] -> [George ] 2374 +[id][enti] -> [identi] 2375 +[el][d ] -> [eld ] 2376 +[D][ep] -> [Dep] 2377 +[201][0 ] -> [2010 ] 2378 +[198][0] -> [1980] 2379 +[Engl][ish] -> [English] 2380 +[jo][in] -> [join] 2381 +[v][ari] -> [vari] 2382 +[Univers][ity ] -> [University ] 2383 +[H][igh] -> [High] 2384 +[4][4] -> [44] 2385 +[ro][m ] -> [rom ] 2386 +[song][s\u000a] -> [songs\u000a] 2387 +[R][es] -> [Res] 2388 +[L][u] -> [Lu] 2389 +[a]['s ] -> [a's ] 2390 +[201][7] -> [2017] 2391 +[ent][ly ] -> [ently ] 2392 +[200][0] -> [2000] 2393 +[A][tl] -> [Atl] 2394 +[ ][ ] -> [ ] 2395 +[popul][ar ] -> [popular ] 2396 +[e][h] -> [eh] 2397 +[.\u000a\u000a][B] -> [.\u000a\u000aB] 2398 +[hel][p] -> [help] 2399 +[c][y] -> [cy] 2400 +[ed ][on the ] -> [ed on the ] 2401 +[c][ame ] -> [came ] 2402 +[D][iv] -> [Div] 2403 +[in][, ] -> [in, ] 2404 +[ep][isod] -> [episod] 2405 +[ch][ild] -> [child] 2406 +[18][ ] -> [18 ] 2407 +[par][tic] -> [partic] 2408 +[J][ew] -> [Jew] 2409 +[17][ ] -> [17 ] 2410 +[j][ect] -> [ject] 2411 +[K][ar] -> [Kar] 2412 +[7][7] -> [77] 2413 +[n][ey ] -> [ney ] 2414 +[politic][al ] -> [political ] 2415 +[L][os ] -> [Los ] 2416 +[er (][b. ] -> [er (b. ] 2417 +[United Stat][es\u000a] -> [United States\u000a] 2418 +[es ][from ] -> [es from ] 2419 +[K][ing ] -> [King ] 2420 +[v][ir] -> [vir] 2421 +[L][ib] -> [Lib] 2422 +[18][6] -> [186] 2423 +[ || align=right | ][3.] -> [ || align=right | 3.] 2424 +[on][y ] -> [ony ] 2425 +[C][am] -> [Cam] 2426 +[T][ ] -> [T ] 2427 +[vi][ew] -> [view] 2428 +[sm][all ] -> [small ] 2429 +[:][\u000a ] -> [:\u000a ] 2430 +[ef][f] -> [eff] 2431 +[if][ic] -> [ific] 2432 +[com][edy ] -> [comedy ] 2433 +[er ][to ] -> [er to ] 2434 +[Actor][s from ] -> [Actors from ] 2435 +[h][ar] -> [har] 2436 +[or][, ] -> [or, ] 2437 +[e][z] -> [ez] 2438 +[e][qu] -> [equ] 2439 +[B][est ] -> [Best ] 2440 +[p][erson ] -> [person ] 2441 +[7][.] -> [7.] 2442 +[seas][on] -> [season] 2443 +[ful][ ] -> [ful ] 2444 +[Sc][i] -> [Sci] 2445 +[ed ][his ] -> [ed his ] 2446 +[ch][em] -> [chem] 2447 +[3][0 ] -> [30 ] 2448 +[1][4 ] -> [14 ] 2449 +[Rob][ert ] -> [Robert ] 2450 +[l][es] -> [les] 2451 +[S][an ] -> [San ] 2452 +[an][other ] -> [another ] 2453 +[an][y] -> [any] 2454 +[b][and] -> [band] 2455 +[||][5] -> [||5] 2456 +[S][al] -> [Sal] 2457 +[the ][first ] -> [the first ] 2458 +[|| ][— || ] -> [|| — || ] 2459 +[city ][in ] -> [city in ] 2460 +[wor][d ] -> [word ] 2461 +[199][9] -> [1999] 2462 +[th][ird ] -> [third ] 2463 +[elec][tr] -> [electr] 2464 +[Col][leg] -> [Colleg] 2465 +[ir][e ] -> [ire ] 2466 +[Q][ue] -> [Que] 2467 +[World ][War ] -> [World War ] 2468 +[S][ou] -> [Sou] 2469 +[C][ity ] -> [City ] 2470 +[T][own] -> [Town] 2471 +[s ][on ] -> [s on ] 2472 +[comm][on ] -> [common ] 2473 +[ex][pl] -> [expl] 2474 +[W][ash] -> [Wash] 2475 +[S][oviet ] -> [Soviet ] 2476 +[M][or] -> [Mor] 2477 +[h][ome ] -> [home ] 2478 +[e][: ] -> [e: ] 2479 +[U][K] -> [UK] 2480 +[i][ (] -> [i (] 2481 +[ ][is ] -> [ is ] 2482 +[\u000a\u000a][The ] -> [\u000a\u000aThe ] 2483 +[T][w] -> [Tw] 2484 +[S][ing] -> [Sing] 2485 +[Al][l] -> [All] 2486 +[Ac][adem] -> [Academ] 2487 +[201][8] -> [2018] 2488 +[F][A ] -> [FA ] 2489 +[Olymp][ic] -> [Olympic] 2490 +[R][os] -> [Ros] 2491 +[s ][a ] -> [s a ] 2492 +[r][adi] -> [radi] 2493 +[re][n ] -> [ren ] 2494 +[me][di] -> [medi] 2495 +[Pak][ist] -> [Pakist] 2496 +[C][O] -> [CO] 2497 +[und][er] -> [under] 2498 +[un][ivers] -> [univers] 2499 +[re][present] -> [represent] 2500 +[t][oge] -> [toge] 2501 +[|| — || ][align=right | ] -> [|| — || align=right | ] 2502 +[offic][ial ] -> [official ] 2503 +[politic][ian ] -> [politician ] 2504 +[r][ed ] -> [red ] 2505 +[198][9] -> [1989] 2506 +[g][row] -> [grow] 2507 +[1][3 ] -> [13 ] 2508 +[they ][are ] -> [they are ] 2509 +[\u000a|][}] -> [\u000a|}] 2510 +[at][es ] -> [ates ] 2511 +[200][5] -> [2005] 2512 +[, 1999][ || Socorro || LINEAR || — || align=right | ] -> [, 1999 || Socorro || LINEAR || — || align=right | ] 2513 +[att][ack] -> [attack] 2514 +[Is][land] -> [Island] 2515 +[iv][il ] -> [ivil ] 2516 +[199][0] -> [1990] 2517 +[h][or] -> [hor] 2518 +[c][or] -> [cor] 2519 +[M][a] -> [Ma] 2520 +[g][e] -> [ge] 2521 +[M][iss] -> [Miss] 2522 +[Franc][e] -> [France] 2523 +[D][e] -> [De] 2524 +[ser][i] -> [seri] 2525 +[ep][ ] -> [ep ] 2526 +[ang][ ] -> [ang ] 2527 +[8][9] -> [89] 2528 +[.\u000a\u000a][C] -> [.\u000a\u000aC] 2529 +[A][S] -> [AS] 2530 +[E][r] -> [Er] 2531 +[all][ow] -> [allow] 2532 +[b][ack] -> [back] 2533 +[, 200][4] -> [, 2004] 2534 +[do][es ] -> [does ] 2535 +[. He was ][born in ] -> [. He was born in ] 2536 +[H][al] -> [Hal] 2537 +[seas][on ] -> [season ] 2538 +[m][ul] -> [mul] 2539 +[N][ot] -> [Not] 2540 +[f][em] -> [fem] 2541 +[1][6 ] -> [16 ] 2542 +[H][en] -> [Hen] 2543 +[.][.] -> [..] 2544 +[t][y ] -> [ty ] 2545 +[Fir][st ] -> [First ] 2546 +[Wash][ing] -> [Washing] 2547 +[s ][with ] -> [s with ] 2548 +[v][en] -> [ven] 2549 +[wor][ld ] -> [world ] 2550 +[j][ourn] -> [journ] 2551 +[E][ast ] -> [East ] 2552 +[is][e ] -> [ise ] 2553 +[c][our] -> [cour] 2554 +[8][5] -> [85] 2555 +[fl][u] -> [flu] 2556 +[a ][B] -> [a B] 2557 +[, 2001][ || Socorro || LINEAR || ] -> [, 2001 || Socorro || LINEAR || ] 2558 +[se][t ] -> [set ] 2559 +[spec][ies ] -> [species ] 2560 +[On][e ] -> [One ] 2561 +[g][o ] -> [go ] 2562 +[us][h] -> [ush] 2563 +[s][o] -> [so] 2564 +[R][h] -> [Rh] 2565 +[t][or] -> [tor] 2566 +[K][h] -> [Kh] 2567 +[a][el ] -> [ael ] 2568 +[i][ent ] -> [ient ] 2569 +[am][b] -> [amb] 2570 +[s][: ] -> [s: ] 2571 +[s][ex] -> [sex] 2572 +[e][an] -> [ean] 2573 +[i][ally ] -> [ially ] 2574 +[op][p] -> [opp] 2575 +[number ][of ] -> [number of ] 2576 +[dis][eas] -> [diseas] 2577 +[S][en] -> [Sen] 2578 +[196][0] -> [1960] 2579 +[||row][span="2"|] -> [||rowspan="2"|] 2580 +[c][ast] -> [cast] 2581 +[) was an ][American ] -> [) was an American ] 2582 +[chil][dr] -> [childr] 2583 +[Ch][ur] -> [Chur] 2584 +[ch][es] -> [ches] 2585 +[. I][ts ] -> [. Its ] 2586 +[O][b] -> [Ob] 2587 +[1 ][– ] -> [1 – ] 2588 +[ann][ounc] -> [announc] 2589 +[Vir][g] -> [Virg] 2590 +[a ][d] -> [a d] 2591 +[3][1] -> [31] 2592 +[div][id] -> [divid] 2593 +[ed ][at ] -> [ed at ] 2594 +[ol][ ] -> [ol ] 2595 +[200][8] -> [2008] 2596 +[Joh][n] -> [John] 2597 +[%][ ] -> [% ] 2598 +[some][times ] -> [sometimes ] 2599 +[18][5] -> [185] 2600 +[w][ant] -> [want] 2601 +[as][, ] -> [as, ] 2602 +[ev][er] -> [ever] 2603 +[c][amp] -> [camp] 2604 +[Los ][Angel] -> [Los Angel] 2605 +[W][rit] -> [Writ] 2606 +[more ][than ] -> [more than ] 2607 +[l][ess ] -> [less ] 2608 +[ation][, ] -> [ation, ] 2609 +[organ][iz] -> [organiz] 2610 +[plac][e ] -> [place ] 2611 +[o][\u000a] -> [o\u000a] 2612 +[P][i] -> [Pi] 2613 +[s][ay] -> [say] 2614 +[E][g] -> [Eg] 2615 +[our][c] -> [ourc] 2616 +[ac][t ] -> [act ] 2617 +[cl][ass] -> [class] 2618 +[n][et] -> [net] 2619 +[ist ][and ] -> [ist and ] 2620 +[Is][ra] -> [Isra] 2621 +[enti][st] -> [entist] 2622 +[football ][play] -> [football play] 2623 +[ep][h] -> [eph] 2624 +[al][d ] -> [ald ] 2625 +[. S][ome ] -> [. Some ] 2626 +[\u000a ][L] -> [\u000a L] 2627 +[ol][u] -> [olu] 2628 +[. It ][is the ] -> [. It is the ] 2629 +[ed][uc] -> [educ] 2630 +[. ][On ] -> [. On ] 2631 +[ig][g] -> [igg] 2632 +[E][mp] -> [Emp] 2633 +[Dut][ch ] -> [Dutch ] 2634 +[D][es] -> [Des] 2635 +[In][d] -> [Ind] 2636 +[200][7] -> [2007] 2637 +[Dav][id ] -> [David ] 2638 +[con][c] -> [conc] 2639 +[itt][le ] -> [ittle ] 2640 +[W][il] -> [Wil] 2641 +[em][p] -> [emp] 2642 +[v][er ] -> [ver ] 2643 +[ || || — || ][May ] -> [ || || — || May ] 2644 +[es ][that ] -> [es that ] 2645 +[includ][e ] -> [include ] 2646 +[201][3] -> [2013] 2647 +[pro][c] -> [proc] 2648 +[os][p] -> [osp] 2649 +[C][up ] -> [Cup ] 2650 +[ec][onom] -> [econom] 2651 +[f][ive ] -> [five ] 2652 +[ || — || align=right | ][2.] -> [ || — || align=right | 2.] 2653 +[202][1] -> [2021] 2654 +[. They ][are ] -> [. They are ] 2655 +[Chr][ist] -> [Christ] 2656 +[S][m] -> [Sm] 2657 +[Th][om] -> [Thom] 2658 +[197][0] -> [1970] 2659 +[for ][a ] -> [for a ] 2660 +[l][o] -> [lo] 2661 +[\u000a][M] -> [\u000aM] 2662 +[i][j] -> [ij] 2663 +[el][s] -> [els] 2664 +[t][our] -> [tour] 2665 +[in ][B] -> [in B] 2666 +[st][age ] -> [stage ] 2667 +[Cath][ol] -> [Cathol] 2668 +[v][ot] -> [vot] 2669 +[it][er] -> [iter] 2670 +[ers ][and ] -> [ers and ] 2671 +[es \u000a\u000a][ ] -> [es \u000a\u000a ] 2672 +[Ass][oci] -> [Associ] 2673 +[V][er] -> [Ver] 2674 +[t ][(] -> [t (] 2675 +[6][6] -> [66] 2676 +[g][ot ] -> [got ] 2677 +[W][om] -> [Wom] 2678 +[200][4] -> [2004] 2679 +[202][1 ] -> [2021 ] 2680 +[oc][c] -> [occ] 2681 +[um][ent] -> [ument] 2682 +[in][f] -> [inf] 2683 +[Pl][ay] -> [Play] 2684 +[cre][at] -> [creat] 2685 +[wor][d] -> [word] 2686 +[A][p] -> [Ap] 2687 +[call][ed the ] -> [called the ] 2688 +[R][oy] -> [Roy] 2689 +[oug][h ] -> [ough ] 2690 +[et][s ] -> [ets ] 2691 +[Tur][k] -> [Turk] 2692 +[music][ian] -> [musician] 2693 +[off][ ] -> [off ] 2694 +[Prov][inc] -> [Provinc] 2695 +[ov][e ] -> [ove ] 2696 +[charac][ter] -> [character] 2697 +[in][k ] -> [ink ] 2698 +[centur][y ] -> [century ] 2699 +[g][ood ] -> [good ] 2700 +[) is an ][American ] -> [) is an American ] 2701 +[ar][n] -> [arn] 2702 +[dea][th ] -> [death ] 2703 +[E][ ] -> [E ] 2704 +[es][. The ] -> [es. The ] 2705 +[he][ad] -> [head] 2706 +[succ][ess] -> [success] 2707 +[�][�] -> [ō] 2708 +[)][.\u000a] -> [).\u000a] 2709 +[j][ust ] -> [just ] 2710 +[M][ad] -> [Mad] 2711 +[e][i] -> [ei] 2712 +[\u000a][B] -> [\u000aB] 2713 +[ol][v] -> [olv] 2714 +[was ][releas] -> [was releas] 2715 +[l][a] -> [la] 2716 +[Ar][ch] -> [Arch] 2717 +[sid][e ] -> [side ] 2718 +['][t ] -> ['t ] 2719 +[t][own] -> [town] 2720 +[movies\u000a][American ] -> [movies\u000aAmerican ] 2721 +[Gen][eral ] -> [General ] 2722 +[song][writ] -> [songwrit] 2723 +[m][y] -> [my] 2724 +[2][5 ] -> [25 ] 2725 +[Franc][e.\u000a\u000a] -> [France.\u000a\u000a] 2726 +[:][\u000a\u000a] -> [:\u000a\u000a] 2727 +[Ar][g] -> [Arg] 2728 +[a ][in ] -> [a in ] 2729 +[a ][P] -> [a P] 2730 +[d][em] -> [dem] 2731 +[aw][ard] -> [award] 2732 +[Sport][s] -> [Sports] 2733 +[th][, ] -> [th, ] 2734 +[mil][itary ] -> [military ] 2735 +[200][6] -> [2006] 2736 +[t][ro] -> [tro] 2737 +[s, ][the ] -> [s, the ] 2738 +[2 ][– ] -> [2 – ] 2739 +[mar][k] -> [mark] 2740 +[ter][m ] -> [term ] 2741 +[wro][te ] -> [wrote ] 2742 +[n][atur] -> [natur] 2743 +[st][atistic] -> [statistic] 2744 +[w][ard ] -> [ward ] 2745 +[L][i] -> [Li] 2746 +[des][cri] -> [descri] 2747 +[201][1] -> [2011] 2748 +[es][h] -> [esh] 2749 +[Af][ter ] -> [After ] 2750 +[aint][-] -> [aint-] 2751 +[d][own ] -> [down ] 2752 +[il][y ] -> [ily ] 2753 +[M][ay] -> [May] 2754 +[B][C] -> [BC] 2755 +[v][an] -> [van] 2756 +[Th][e] -> [The] 2757 +[t ][and ] -> [t and ] 2758 +[ol][l] -> [oll] 2759 +[al][ong ] -> [along ] 2760 +[t][on, ] -> [ton, ] 2761 +[in][st] -> [inst] 2762 +[high][ ] -> [high ] 2763 +[c][ensus] -> [census] 2764 +[J][. ] -> [J. ] 2765 +[Char][les ] -> [Charles ] 2766 +[rel][ig] -> [relig] 2767 +[FL][O] -> [FLO] 2768 +[ ][k] -> [ k] 2769 +[tion][, ] -> [tion, ] 2770 +[. ][He ] -> [. He ] 2771 +[Rec][ord] -> [Record] 2772 +[ul][l] -> [ull] 2773 +[ref][ect] -> [refect] 2774 +[movies\u000a][Movies ] -> [movies\u000aMovies ] 2775 +[Footb][all ] -> [Football ] 2776 +[Flor][id] -> [Florid] 2777 +[h][am] -> [ham] 2778 +[é][ ] -> [é ] 2779 +[i][er ] -> [ier ] 2780 +[p][ut ] -> [put ] 2781 +[201][6] -> [2016] 2782 +[Chin][ese ] -> [Chinese ] 2783 +[n][ec] -> [nec] 2784 +[E][ast] -> [East] 2785 +[198][8] -> [1988] 2786 +[L][aw] -> [Law] 2787 +[P][op] -> [Pop] 2788 +[S][ummer ] -> [Summer ] 2789 +[bel][iev] -> [believ] 2790 +[es ][were ] -> [es were ] 2791 +[ro][y] -> [roy] 2792 +[e ][was ] -> [e was ] 2793 +[er]['s ] -> [er's ] 2794 +[ab][il] -> [abil] 2795 +[r][on] -> [ron] 2796 +[p][ur] -> [pur] 2797 +[S][chool] -> [School] 2798 +[li][am] -> [liam] 2799 +[pl][an] -> [plan] 2800 +[4 ][– ] -> [4 – ] 2801 +[w][estern ] -> [western ] 2802 +[fa][ther ] -> [father ] 2803 +[C][up] -> [Cup] 2804 +[ad][v] -> [adv] 2805 +[Mon][t] -> [Mont] 2806 +[V][al] -> [Val] 2807 +[Car][ol] -> [Carol] 2808 +[st][y] -> [sty] 2809 +[\u000a ][M] -> [\u000a M] 2810 +[B][al] -> [Bal] 2811 +[oun][t ] -> [ount ] 2812 +[a ][M] -> [a M] 2813 +[9][5] -> [95] 2814 +[ed][er] -> [eder] 2815 +[V][ill] -> [Vill] 2816 +[ain][s ] -> [ains ] 2817 +[minist][r] -> [ministr] 2818 +[2019][ ] -> [2019 ] 2819 +[is a commun][e. It is ] -> [is a commune. It is ] 2820 +[||0||0][||0||0] -> [||0||0||0||0] 2821 +[oc][ial ] -> [ocial ] 2822 +[7][2] -> [72] 2823 +[on][t] -> [ont] 2824 +[pl][ant] -> [plant] 2825 +["][The ] -> ["The ] 2826 +[roc][k] -> [rock] 2827 +[4][6] -> [46] 2828 +[6 ][– ] -> [6 – ] 2829 +[n][ext ] -> [next ] 2830 +[ar][k] -> [ark] 2831 +[P][o] -> [Po] 2832 +[TV][ ] -> [TV ] 2833 +[i][um ] -> [ium ] 2834 +[ex][p] -> [exp] 2835 +[er (][d. ] -> [er (d. ] 2836 +[�][�] -> [“] 2837 +[3 ][– ] -> [3 – ] 2838 +[countr][y ] -> [country ] 2839 +[8 ][– ] -> [8 – ] 2840 +[z][e ] -> [ze ] 2841 +[cl][ub ] -> [club ] 2842 +[V][I] -> [VI] 2843 +[distric][t] -> [district] 2844 +[Pr][inc] -> [Princ] 2845 +[F][or ] -> [For ] 2846 +[ip][ ] -> [ip ] 2847 +[comp][any ] -> [company ] 2848 +[journ][al] -> [journal] 2849 +[R][ev] -> [Rev] 2850 +[ph][il] -> [phil] 2851 +[Mun][icipal] -> [Municipal] 2852 +[se][at ] -> [seat ] 2853 +[. She ][was ] -> [. She was ] 2854 +[gu][itar] -> [guitar] 2855 +[phys][ic] -> [physic] 2856 +[it][ch] -> [itch] 2857 +[lin][o] -> [lino] 2858 +[y][. ] -> [y. ] 2859 +[er][.\u000a\u000a] -> [er.\u000a\u000a] 2860 +[arti][st] -> [artist] 2861 +[Lond][on] -> [London] 2862 +[A][z] -> [Az] 2863 +[197][9] -> [1979] 2864 +[D][ur] -> [Dur] 2865 +[S][S] -> [SS] 2866 +[arr][y ] -> [arry ] 2867 +[ || || ][ || ] -> [ || || || ] 2868 +[Th][ey ] -> [They ] 2869 +[ag][n] -> [agn] 2870 +[lev][el] -> [level] 2871 +[Democr][atic ] -> [Democratic ] 2872 +[K][ans] -> [Kans] 2873 +[h][and] -> [hand] 2874 +[�][�] -> [”] 2875 +[Il][lino] -> [Illino] 2876 +[as ][well ] -> [as well ] 2877 +[18][0] -> [180] 2878 +[ti][n ] -> [tin ] 2879 +[l][e of ] -> [le of ] 2880 +[ep][end] -> [epend] 2881 +[201][2] -> [2012] 2882 +[t][ot] -> [tot] 2883 +[found ][in the ] -> [found in the ] 2884 +[F][I] -> [FI] 2885 +[d][, ] -> [d, ] 2886 +[rop][ical ] -> [ropical ] 2887 +[ed ][as a ] -> [ed as a ] 2888 +[7 ][– ] -> [7 – ] 2889 +[Z][eal] -> [Zeal] 2890 +[di][ed in ] -> [died in ] 2891 +[d][oc] -> [doc] 2892 +[M][et] -> [Met] 2893 +[pos][s] -> [poss] 2894 +[r][ang] -> [rang] 2895 +[9 ][– ] -> [9 – ] 2896 +[v][iv] -> [viv] 2897 +[lif][e ] -> [life ] 2898 +[th][ing ] -> [thing ] 2899 +[ed ][into ] -> [ed into ] 2900 +[Mex][ic] -> [Mexic] 2901 +[W][e] -> [We] 2902 +[a ][R] -> [a R] 2903 +[199][8] -> [1998] 2904 +[con][sid] -> [consid] 2905 +[g][ar] -> [gar] 2906 +[buil][t ] -> [built ] 2907 +[, 200][5] -> [, 2005] 2908 +[Republ][ic ] -> [Republic ] 2909 +[publ][ic ] -> [public ] 2910 +[itz][er] -> [itzer] 2911 +[res][t] -> [rest] 2912 +[9][8] -> [98] 2913 +[re][ti] -> [reti] 2914 +[n][omin] -> [nomin] 2915 +[av][er] -> [aver] 2916 +[on][e of ] -> [one of ] 2917 +[New ][Zeal] -> [New Zeal] 2918 +[)][. ] -> [). ] 2919 +[lef][t ] -> [left ] 2920 +[ev][ery ] -> [every ] 2921 +[s][on, ] -> [son, ] 2922 +[f][ail] -> [fail] 2923 +[compl][et] -> [complet] 2924 +[Gre][at ] -> [Great ] 2925 +[T][or] -> [Tor] 2926 +[New York ][City] -> [New York City] 2927 +[h][ol] -> [hol] 2928 +[d][am] -> [dam] 2929 +[ind][epend] -> [independ] 2930 +[C][our] -> [Cour] 2931 +[Ale][x] -> [Alex] 2932 +[c][al] -> [cal] 2933 +[gr][ad] -> [grad] 2934 +[\u000a \u000a \u000a \u000a ][\u000a \u000a \u000a \u000a ] -> [\u000a \u000a \u000a \u000a \u000a \u000a \u000a \u000a ] 2935 +[s][e ] -> [se ] 2936 +[ and ][the ] -> [ and the ] 2937 +[199][5] -> [1995] 2938 +[F][am] -> [Fam] 2939 +[m][y ] -> [my ] 2940 +[p][i] -> [pi] 2941 +[c][ell] -> [cell] 2942 +[4][)\u000a ] -> [4)\u000a ] 2943 +[l][ad] -> [lad] 2944 +[0][.] -> [0.] 2945 +[United Stat][es.\u000a\u000a] -> [United States.\u000a\u000a] 2946 +[P][at] -> [Pat] 2947 +[a][im] -> [aim] 2948 +[Austri][an ] -> [Austrian ] 2949 +[bec][om] -> [becom] 2950 +[about ][the ] -> [about the ] 2951 +[hear][t ] -> [heart ] 2952 +[, 2002][ || Socorro || LINEAR || — || align=right | ] -> [, 2002 || Socorro || LINEAR || — || align=right | ] 2953 +[th][ing] -> [thing] 2954 +[\u000a ][B] -> [\u000a B] 2955 +[Virg][in] -> [Virgin] 2956 +[Un][ion ] -> [Union ] 2957 +[m][b] -> [mb] 2958 +[en][s ] -> [ens ] 2959 +[J][ack] -> [Jack] 2960 +[hum][an ] -> [human ] 2961 +[ || — || align=right | ][3.] -> [ || — || align=right | 3.] 2962 +[inter][national ] -> [international ] 2963 +[ist][, ] -> [ist, ] 2964 +[il][ar ] -> [ilar ] 2965 +[||][6] -> [||6] 2966 +[Sw][itzer] -> [Switzer] 2967 +[wi][f] -> [wif] 2968 +[ter][n] -> [tern] 2969 +[.][com] -> [.com] 2970 +[in][t ] -> [int ] 2971 +[o ][and ] -> [o and ] 2972 +[U][r] -> [Ur] 2973 +[202][2 ] -> [2022 ] 2974 +[Leag][ue] -> [League] 2975 +[Bel][g] -> [Belg] 2976 +[D][el] -> [Del] 2977 +[198][7] -> [1987] 2978 +[m][en ] -> [men ] 2979 +[reg][ion] -> [region] 2980 +[vers][ion ] -> [version ] 2981 +[me][ans ] -> [means ] 2982 +[S][aint-] -> [Saint-] 2983 +[i][or ] -> [ior ] 2984 +[-d][e-] -> [-de-] 2985 +[w][ill] -> [will] 2986 +[w][id] -> [wid] 2987 +[ia ][and ] -> [ia and ] 2988 +[) ][– ] -> [) – ] 2989 +[Afric][an ] -> [African ] 2990 +[5 ][– ] -> [5 – ] 2991 +[with][out ] -> [without ] 2992 +[an][a ] -> [ana ] 2993 +[se][en ] -> [seen ] 2994 +[people liv][ed ] -> [people lived ] 2995 +[e]["] -> [e"] 2996 +[is ][not ] -> [is not ] 2997 +[cri][tic] -> [critic] 2998 +[progr][am] -> [program] 2999 +[sou][th] -> [south] 3000 +[contin][u] -> [continu] 3001 +[ac][tion ] -> [action ] 3002 +[Hous][e of ] -> [House of ] 3003 +[1][,] -> [1,] 3004 +[\u000a ][The ] -> [\u000a The ] 3005 +[H][istory ] -> [History ] 3006 +[es][, and ] -> [es, and ] 3007 +[for][d ] -> [ford ] 3008 +[O][c] -> [Oc] 3009 +[200][3] -> [2003] 3010 +[. There ][are ] -> [. There are ] 3011 +[olog][y ] -> [ology ] 3012 +[B][ ] -> [B ] 3013 +[2][1 ] -> [21 ] 3014 +[nor][th] -> [north] 3015 +[Mich][ael ] -> [Michael ] 3016 +[all ][of ] -> [all of ] 3017 +[L][if] -> [Lif] 3018 +[K][n] -> [Kn] 3019 +[Lond][on ] -> [London ] 3020 +[Californ][ia] -> [California] 3021 +[10][0] -> [100] 3022 +[Sports][people from ] -> [Sportspeople from ] 3023 +[f][our] -> [four] 3024 +[Com][m] -> [Comm] 3025 +[u][z] -> [uz] 3026 +[ed ][at the ] -> [ed at the ] 3027 +[||][colspan="2"|-] -> [||colspan="2"|-] 3028 +[C][ong] -> [Cong] 3029 +[. ][N] -> [. N] 3030 +[Isra][el] -> [Israel] 3031 +[Ar][ab] -> [Arab] 3032 +[d][ue ] -> [due ] 3033 +[se][e ] -> [see ] 3034 +[in][d ] -> [ind ] 3035 +[sc][re] -> [scre] 3036 +[um][p] -> [ump] 3037 +[G][old] -> [Gold] 3038 +[it][al] -> [ital] 3039 +[b][ook ] -> [book ] 3040 +[Eg][yp] -> [Egyp] 3041 +[c][op] -> [cop] 3042 +[does ][not ] -> [does not ] 3043 +[oci][et] -> [ociet] 3044 +[ ][was ] -> [ was ] 3045 +[s][w] -> [sw] 3046 +[cont][ro] -> [contro] 3047 +[ar][t ] -> [art ] 3048 +[Rich][ard ] -> [Richard ] 3049 +[In ][the ] -> [In the ] 3050 +[city ][of ] -> [city of ] 3051 +[M][ac] -> [Mac] 3052 +[row][n ] -> [rown ] 3053 +[ear][ch ] -> [earch ] 3054 +[Rom][an] -> [Roman] 3055 +[Austral][ia] -> [Australia] 3056 +[cl][os] -> [clos] 3057 +[d][augh] -> [daugh] 3058 +[Politic][ians from ] -> [Politicians from ] 3059 +[able ][to ] -> [able to ] 3060 +[i][ous ] -> [ious ] 3061 +[tak][e ] -> [take ] 3062 +[cre][ated ] -> [created ] 3063 +[B][C ] -> [BC ] 3064 +[C][ounc] -> [Counc] 3065 +[sh][ort ] -> [short ] 3066 +[h][ab] -> [hab] 3067 +[198][5] -> [1985] 3068 +[. He ][is ] -> [. He is ] 3069 +[qu][e ] -> [que ] 3070 +[origin][al ] -> [original ] 3071 +[W][estern ] -> [Western ] 3072 +[s][outh ] -> [south ] 3073 +[fe][atur] -> [featur] 3074 +[s][. ] -> [s. ] 3075 +[play][er ] -> [player ] 3076 +[stat][e] -> [state] 3077 +[m][ain] -> [main] 3078 +[w][ar ] -> [war ] 3079 +[c][u] -> [cu] 3080 +[p][ain] -> [pain] 3081 +[m][en] -> [men] 3082 +[m][ost] -> [most] 3083 +[z][e] -> [ze] 3084 +[m][ount] -> [mount] 3085 +[Arg][ent] -> [Argent] 3086 +[t][op ] -> [top ] 3087 +[G][o] -> [Go] 3088 +[3][7] -> [37] 3089 +[\u000a\u000aReferenc][es \u000a\u000a] -> [\u000a\u000aReferences \u000a\u000a] 3090 +[ || align=right | ][4.] -> [ || align=right | 4.] 3091 +[ ][L] -> [ L] 3092 +[B][i] -> [Bi] 3093 +[fl][ow] -> [flow] 3094 +[them][atic] -> [thematic] 3095 +[fil][m ] -> [film ] 3096 +[follow][ing ] -> [following ] 3097 +[h][om] -> [hom] 3098 +[fi][eld] -> [field] 3099 +[T][er] -> [Ter] 3100 +[198][1] -> [1981] 3101 +[n][ation] -> [nation] 3102 +[sm][all] -> [small] 3103 +[C][re] -> [Cre] 3104 +[hel][p ] -> [help ] 3105 +[is][s ] -> [iss ] 3106 +[bas][ed on ] -> [based on ] 3107 +[10][0 ] -> [100 ] 3108 +[m][ajor ] -> [major ] 3109 +[es ][\u000a] -> [es \u000a] 3110 +[Brazil][ian ] -> [Brazilian ] 3111 +[w][ard] -> [ward] 3112 +[, ][197] -> [, 197] 3113 +[M][at] -> [Mat] 3114 +[or][s ] -> [ors ] 3115 +[Gre][ek ] -> [Greek ] 3116 +[elec][tion] -> [election] 3117 +[R][ed ] -> [Red ] 3118 +[ag][u] -> [agu] 3119 +[||0||][colspan="2"|-] -> [||0||colspan="2"|-] 3120 +[7 ][- ] -> [7 - ] 3121 +[T][ri] -> [Tri] 3122 +[tr][av] -> [trav] 3123 +[. He was ][the ] -> [. He was the ] 3124 +[ul][t ] -> [ult ] 3125 +[ut][er ] -> [uter ] 3126 +[b][ar] -> [bar] 3127 +[us][ed in ] -> [used in ] 3128 +[Roy][al ] -> [Royal ] 3129 +[2][4 ] -> [24 ] 3130 +[roc][k ] -> [rock ] 3131 +[sel][f] -> [self] 3132 +[U][S ] -> [US ] 3133 +[og][n] -> [ogn] 3134 +[e][" ] -> [e" ] 3135 +[An][n] -> [Ann] 3136 +[c][at] -> [cat] 3137 +[V][ict] -> [Vict] 3138 +[thoug][ht ] -> [thought ] 3139 +[ro][le ] -> [role ] 3140 +[D][-] -> [D-] 3141 +[H][istor] -> [Histor] 3142 +[ur][ric] -> [urric] 3143 +[ind][u] -> [indu] 3144 +[ther][land] -> [therland] 3145 +[. He ][also ] -> [. He also ] 3146 +[ro][n ] -> [ron ] 3147 +[y][. The ] -> [y. The ] 3148 +[199][7] -> [1997] 3149 +[L][ ] -> [L ] 3150 +[start][ed ] -> [started ] 3151 +[comp][et] -> [compet] 3152 +[M][er] -> [Mer] 3153 +[198][6] -> [1986] 3154 +[, ][B] -> [, B] 3155 +[m][ot] -> [mot] 3156 +[te][chn] -> [techn] 3157 +[in][form] -> [inform] 3158 +[us][ing ] -> [using ] 3159 +[200][1] -> [2001] 3160 +[F][F] -> [FF] 3161 +[ra][w] -> [raw] 3162 +[200][0 ] -> [2000 ] 3163 +[.\u000a\u000a][Related pag] -> [.\u000a\u000aRelated pag] 3164 +[Cl][ub ] -> [Club ] 3165 +[199][6] -> [1996] 3166 +[Gr][and ] -> [Grand ] 3167 +[a ][is ] -> [a is ] 3168 +[S][im] -> [Sim] 3169 +[H][am] -> [Ham] 3170 +[G][ir] -> [Gir] 3171 +[Writ][ers from ] -> [Writers from ] 3172 +[re][plac] -> [replac] 3173 +[mak][ing ] -> [making ] 3174 +[M][i] -> [Mi] 3175 +[over ][the ] -> [over the ] 3176 +[or ][and ] -> [or and ] 3177 +[l][ong ] -> [long ] 3178 +[ed to ][be ] -> [ed to be ] 3179 +[li][k] -> [lik] 3180 +[s][al] -> [sal] 3181 +[in][j] -> [inj] 3182 +[\u000a\u000a][|-\u000a|] -> [\u000a\u000a|-\u000a|] 3183 +[depart][ment] -> [department] 3184 +[Olymp][ic ] -> [Olympic ] 3185 +[vo][ice ] -> [voice ] 3186 +[ch][ur] -> [chur] 3187 +[st][re] -> [stre] 3188 +[B][att] -> [Batt] 3189 +[C][ur] -> [Cur] 3190 +[w][restl] -> [wrestl] 3191 +[cl][ub] -> [club] 3192 +[s][en] -> [sen] 3193 +[a][e] -> [ae] 3194 +[Cat][al] -> [Catal] 3195 +[ud][d] -> [udd] 3196 +[There ][are ] -> [There are ] 3197 +[eng][ine] -> [engine] 3198 +[y][ou ] -> [you ] 3199 +[202][2] -> [2022] 3200 +[ia ][(] -> [ia (] 3201 +[ (][born ] -> [ (born ] 3202 +[World War ][II] -> [World War II] 3203 +[r][at] -> [rat] 3204 +[el][, ] -> [el, ] 3205 +[ay][, ] -> [ay, ] 3206 +[201][8 ] -> [2018 ] 3207 +[fri][end] -> [friend] 3208 +[y ][to ] -> [y to ] 3209 +[Christi][an ] -> [Christian ] 3210 +[al ][of ] -> [al of ] 3211 +[mon][th] -> [month] 3212 +[tur][e ] -> [ture ] 3213 +[v][ic] -> [vic] 3214 +[198][3] -> [1983] 3215 +[8][6] -> [86] 3216 +[an][-] -> [an-] 3217 +[es][p] -> [esp] 3218 +[O][p] -> [Op] 3219 +[Ne][therland] -> [Netherland] 3220 +[ec][tion ] -> [ection ] 3221 +[l][at] -> [lat] 3222 +[t][ure] -> [ture] 3223 +[vo][ic] -> [voic] 3224 +[Cent][ral ] -> [Central ] 3225 +[sc][or] -> [scor] 3226 +[tr][adi] -> [tradi] 3227 +[di][ ] -> [di ] 3228 +[is a ][city in ] -> [is a city in ] 3229 +[us][, ] -> [us, ] 3230 +[i][-] -> [i-] 3231 +[most][ly ] -> [mostly ] 3232 +[m][ad] -> [mad] 3233 +[l][ate ] -> [late ] 3234 +[.\u000a\u000aReferences\u000a\u000aOther websit][es\u000a ] -> [.\u000a\u000aReferences\u000a\u000aOther websites\u000a ] 3235 +[Switzer][land] -> [Switzerland] 3236 +[D][ev] -> [Dev] 3237 +[fi][eld ] -> [field ] 3238 +[d][et] -> [det] 3239 +[w][w] -> [ww] 3240 +[d][efe] -> [defe] 3241 +[re][ach] -> [reach] 3242 +[2][3 ] -> [23 ] 3243 +[an ][(] -> [an (] 3244 +[os][s] -> [oss] 3245 +[e][th] -> [eth] 3246 +[fil][m] -> [film] 3247 +[pres][ident ] -> [president ] 3248 +[loc][al ] -> [local ] 3249 +[ou][se] -> [ouse] 3250 +[J][on] -> [Jon] 3251 +[there ][are ] -> [there are ] 3252 +[198][4] -> [1984] 3253 +[Ge][ograph] -> [Geograph] 3254 +[sh][ould ] -> [should ] 3255 +[h][istory ] -> [history ] 3256 +[.]["] -> [."] 3257 +[ar][k ] -> [ark ] 3258 +[c][er] -> [cer] 3259 +[. ][G] -> [. G] 3260 +[gen][eral ] -> [general ] 3261 +[ep][t ] -> [ept ] 3262 +[Engl][and ] -> [England ] 3263 +[g][ave ] -> [gave ] 3264 +[h][ockey ] -> [hockey ] 3265 +[Pet][er ] -> [Peter ] 3266 +[as][h ] -> [ash ] 3267 +[an ][and ] -> [an and ] 3268 +[sp][ir] -> [spir] 3269 +[L][ist of ] -> [List of ] 3270 +[do ][not ] -> [do not ] 3271 +[S][k] -> [Sk] 3272 +[. ][R] -> [. R] 3273 +[. ][When ] -> [. When ] 3274 +[I][m] -> [Im] 3275 +[N][o] -> [No] 3276 +[.\u000a\u000a][M] -> [.\u000a\u000aM] 3277 +[people lived ][ther] -> [people lived ther] 3278 +[east][ern ] -> [eastern ] 3279 +[h][on] -> [hon] 3280 +[y][m] -> [ym] 3281 +[e][ast ] -> [east ] 3282 +[department ][in the ] -> [department in the ] 3283 +[Y][ear] -> [Year] 3284 +[6 ][- ] -> [6 - ] 3285 +[es ][for ] -> [es for ] 3286 +[sy][l] -> [syl] 3287 +[re][turn] -> [return] 3288 +[Mus][ic] -> [Music] 3289 +[mod][ern ] -> [modern ] 3290 +[V][ol] -> [Vol] 3291 +[||0][||1] -> [||0||1] 3292 +[al][ity ] -> [ality ] 3293 +[Port][ug] -> [Portug] 3294 +[4][3] -> [43] 3295 +[2][2 ] -> [22 ] 3296 +[Y][ou] -> [You] 3297 +[k][ing ] -> [king ] 3298 +[m][ust ] -> [must ] 3299 +[B][en] -> [Ben] 3300 +[that ][is ] -> [that is ] 3301 +[a ][was ] -> [a was ] 3302 +[)][: ] -> [): ] 3303 +[rec][ord ] -> [record ] 3304 +[Riv][er ] -> [River ] 3305 +[Con][f] -> [Conf] 3306 +[establishment][s in the ] -> [establishments in the ] 3307 +[\u000a ][T] -> [\u000a T] 3308 +[)][. The ] -> [). The ] 3309 +[s][The ] -> [sThe ] 3310 +[stit][ut] -> [stitut] 3311 +[under ][the ] -> [under the ] 3312 +[st][arr] -> [starr] 3313 +[le][d] -> [led] 3314 +[. He ][was a ] -> [. He was a ] 3315 +[in][o ] -> [ino ] 3316 +[had ][been ] -> [had been ] 3317 +[t][each] -> [teach] 3318 +[s ][have ] -> [s have ] 3319 +[ettl][ement] -> [ettlement] 3320 +[ea][u] -> [eau] 3321 +[y][ing ] -> [ying ] 3322 +[H][ung] -> [Hung] 3323 +[th][ose ] -> [those ] 3324 +[spec][ial ] -> [special ] 3325 +[l][ight ] -> [light ] 3326 +[charac][ter ] -> [character ] 3327 +[bo][ard ] -> [board ] 3328 +[C][ast] -> [Cast] 3329 +[Ch][il] -> [Chil] 3330 +[vi][ol] -> [viol] 3331 +[v][oc] -> [voc] 3332 +[9][6] -> [96] 3333 +[le][-] -> [le-] 3334 +[pe][ti] -> [peti] 3335 +[Tex][as] -> [Texas] 3336 +[iz][ed ] -> [ized ] 3337 +[br][idg] -> [bridg] 3338 +[idd][le ] -> [iddle ] 3339 +[disc][over] -> [discover] 3340 +[P][enn] -> [Penn] 3341 +[nor][th ] -> [north ] 3342 +[y, ][the ] -> [y, the ] 3343 +[Ear][ly ] -> [Early ] 3344 +[L][o] -> [Lo] 3345 +[s ][or ] -> [s or ] 3346 +[Alex][and] -> [Alexand] 3347 +[200][2] -> [2002] 3348 +[O][k] -> [Ok] 3349 +[199][4] -> [1994] 3350 +[of ][a ] -> [of a ] 3351 +[Is][l] -> [Isl] 3352 +[199][3] -> [1993] 3353 +[had ][a ] -> [had a ] 3354 +[U][N] -> [UN] 3355 +[ex][ec] -> [exec] 3356 +[t][ain] -> [tain] 3357 +[. F][or ] -> [. For ] 3358 +[ation ][of the ] -> [ation of the ] 3359 +[toge][ther ] -> [together ] 3360 +[ic][ation] -> [ication] 3361 +[in][a] -> [ina] 3362 +[res][ult] -> [result] 3363 +[Official ][websit] -> [Official websit] 3364 +[K][r] -> [Kr] 3365 +[dis][s] -> [diss] 3366 +[liv][e ] -> [live ] 3367 +[Mus][e] -> [Muse] 3368 +[Swed][ish ] -> [Swedish ] 3369 +[es][tiv] -> [estiv] 3370 +[W][eb] -> [Web] 3371 +[B][rit] -> [Brit] 3372 +[ship][ ] -> [ship ] 3373 +[German][y] -> [Germany] 3374 +[mak][es ] -> [makes ] 3375 +[. H][er ] -> [. Her ] 3376 +[m][atch] -> [match] 3377 +[) ][- ] -> [) - ] 3378 +[5 ][- ] -> [5 - ] 3379 +[studi][o ] -> [studio ] 3380 +[V][en] -> [Ven] 3381 +[ep][ar] -> [epar] 3382 +[en ][(] -> [en (] 3383 +[tim][e] -> [time] 3384 +[Leag][u] -> [Leagu] 3385 +[st][er] -> [ster] 3386 +[D][en] -> [Den] 3387 +[S][ur] -> [Sur] 3388 +[gro][und] -> [ground] 3389 +[.][C] -> [.C] 3390 +[5][6] -> [56] 3391 +[18][7] -> [187] 3392 +[ne][ed] -> [need] 3393 +[ro][und] -> [round] 3394 +[govern][ment] -> [government] 3395 +[st][ory ] -> [story ] 3396 +[child][ren ] -> [children ] 3397 +[W][ind] -> [Wind] 3398 +[A][n ] -> [An ] 3399 +[ || — || align=right | ][4.] -> [ || — || align=right | 4.] 3400 +[c][le] -> [cle] 3401 +[l][av] -> [lav] 3402 +[serv][ic] -> [servic] 3403 +[4][7] -> [47] 3404 +[s][ix ] -> [six ] 3405 +[L][in] -> [Lin] 3406 +[l][ab] -> [lab] 3407 +[ment ][of ] -> [ment of ] 3408 +[S][am] -> [Sam] 3409 +[U][k] -> [Uk] 3410 +[p][aint] -> [paint] 3411 +[4 ][- ] -> [4 - ] 3412 +[, 1999][ || Socorro || LINEAR || ] -> [, 1999 || Socorro || LINEAR || ] 3413 +[sy][ch] -> [sych] 3414 +[d][est] -> [dest] 3415 +[t][en] -> [ten] 3416 +[c][ant] -> [cant] 3417 +[ri][but] -> [ribut] 3418 +[i][ed ] -> [ied ] 3419 +[Em][per] -> [Emper] 3420 +[199][2] -> [1992] 3421 +[||0][\u000a|-\u000a|] -> [||0\u000a|-\u000a|] 3422 +[os][aur] -> [osaur] 3423 +[Paul][ ] -> [Paul ] 3424 +[aw][ ] -> [aw ] 3425 +[an][i ] -> [ani ] 3426 +[5][8] -> [58] 3427 +[th-][century ] -> [th-century ] 3428 +[W][W] -> [WW] 3429 +[at][ory ] -> [atory ] 3430 +[through ][the ] -> [through the ] 3431 +[se][qu] -> [sequ] 3432 +[.][" ] -> [." ] 3433 +[l][ost ] -> [lost ] 3434 +[sh][ire] -> [shire] 3435 +[M][ass] -> [Mass] 3436 +[cy][cl] -> [cycl] 3437 +[P][ ] -> [P ] 3438 +[when ][the ] -> [when the ] 3439 +[O][hi] -> [Ohi] 3440 +[ti][g] -> [tig] 3441 +[dep][end] -> [depend] 3442 +[201][1 ] -> [2011 ] 3443 +[vi][ew ] -> [view ] 3444 +[V][ || align=right | 1.] -> [V || align=right | 1.] 3445 +[sim][ilar ] -> [similar ] 3446 +[ph][ot] -> [phot] 3447 +[President ][of ] -> [President of ] 3448 +[L][ab] -> [Lab] 3449 +[ed][eral ] -> [ederal ] 3450 +[196][9] -> [1969] 3451 +[on ][(] -> [on (] 3452 +[Bl][ack ] -> [Black ] 3453 +[vill][age ] -> [village ] 3454 +[Part][y (] -> [Party (] 3455 +[\u000a ][D] -> [\u000a D] 3456 +[nov][el] -> [novel] 3457 +[gro][und ] -> [ground ] 3458 +[pres][s] -> [press] 3459 +[ar][c] -> [arc] 3460 +[ch][arg] -> [charg] 3461 +[ass][oci] -> [associ] 3462 +[H][on] -> [Hon] 3463 +[NYS][ || align=right | 1.] -> [NYS || align=right | 1.] 3464 +[tak][en ] -> [taken ] 3465 +[/][ ] -> [/ ] 3466 +[3][2] -> [32] 3467 +[they ][were ] -> [they were ] 3468 +[E][li] -> [Eli] 3469 +[198][2] -> [1982] 3470 +[h][ost] -> [host] 3471 +[L][eg] -> [Leg] 3472 +[G][B] -> [GB] 3473 +[St][re] -> [Stre] 3474 +[career ][statistic] -> [career statistic] 3475 +[ed][.\u000a\u000a] -> [ed.\u000a\u000a] 3476 +[comp][an] -> [compan] 3477 +[ur][b] -> [urb] 3478 +[rol][l] -> [roll] 3479 +[co][-] -> [co-] 3480 +[ag][ain ] -> [again ] 3481 +[ti][l] -> [til] 3482 +[h][ead ] -> [head ] 3483 +[, ][or ] -> [, or ] 3484 +[distric][t ] -> [district ] 3485 +[on ][of ] -> [on of ] 3486 +[A][R] -> [AR] 3487 +[. This ][is ] -> [. This is ] 3488 +[d][ro] -> [dro] 3489 +[=][ ] -> [= ] 3490 +[C][as] -> [Cas] 3491 +[known ][as the ] -> [known as the ] 3492 +[m][or] -> [mor] 3493 +[em][or] -> [emor] 3494 +[curr][ent ] -> [current ] 3495 +[j][ect ] -> [ject ] 3496 +[r][en] -> [ren] 3497 +[o][x ] -> [ox ] 3498 +[r][is] -> [ris] 3499 +[w][e ] -> [we ] 3500 +[star][s ] -> [stars ] 3501 +[S][pr] -> [Spr] 3502 +[Uk][rain] -> [Ukrain] 3503 +[refect][ure] -> [refecture] 3504 +[tr][ain] -> [train] 3505 +[aw][ay ] -> [away ] 3506 +[may ][be ] -> [may be ] 3507 +[went ][to ] -> [went to ] 3508 +[\u000a][T] -> [\u000aT] 3509 +[a][il ] -> [ail ] 3510 +[||][7] -> [||7] 3511 +[Nor][thern ] -> [Northern ] 3512 +[u][el ] -> [uel ] 3513 +[1][–] -> [1–] 3514 +[197][8] -> [1978] 3515 +[dec][id] -> [decid] 3516 +[s][qu] -> [squ] 3517 +[b][ab] -> [bab] 3518 +[m][ur] -> [mur] 3519 +[on][s ] -> [ons ] 3520 +[N][av] -> [Nav] 3521 +[c][raf] -> [craf] 3522 +[en][-] -> [en-] 3523 +[J][ers] -> [Jers] 3524 +[—][ ] -> [— ] 3525 +[B][or] -> [Bor] 3526 +[h][am ] -> [ham ] 3527 +[way][s ] -> [ways ] 3528 +[Hen][ry ] -> [Henry ] 3529 +[area ][of ] -> [area of ] 3530 +[ief][ ] -> [ief ] 3531 +[re][d] -> [red] 3532 +[u][el] -> [uel] 3533 +[ect][ed ] -> [ected ] 3534 +[ro][duc] -> [roduc] 3535 +[Thom][as ] -> [Thomas ] 3536 +[, ][in ] -> [, in ] 3537 +[0 ][– ] -> [0 – ] 3538 +[U][p] -> [Up] 3539 +[go][al] -> [goal] 3540 +[em][ ] -> [em ] 3541 +[g][ir] -> [gir] 3542 +[Cathol][ic ] -> [Catholic ] 3543 +[riv][er ] -> [river ] 3544 +[television ][series ] -> [television series ] 3545 +[||0][||2] -> [||0||2] 3546 +[c][o ] -> [co ] 3547 +[gam][es\u000a] -> [games\u000a] 3548 +[8][.] -> [8.] 3549 +[. ][(] -> [. (] 3550 +[\u000a]["] -> [\u000a"] 3551 +[on][es] -> [ones] 3552 +[�][�] -> [�] 3553 +[ || Kitt Peak || Spacewatch][ || ] -> [ || Kitt Peak || Spacewatch || ] 3554 +[releas][ed ] -> [released ] 3555 +[loc][ated ] -> [located ] 3556 +[Town][s in ] -> [Towns in ] 3557 +[around ][the ] -> [around the ] 3558 +[which ][is ] -> [which is ] 3559 +[r][unn] -> [runn] 3560 +[she ][was ] -> [she was ] 3561 +[or ][of the ] -> [or of the ] 3562 +[e][e ] -> [ee ] 3563 +[re][-] -> [re-] 3564 +[ou][b] -> [oub] 3565 +[S][u] -> [Su] 3566 +[ex][c] -> [exc] 3567 +[n][, ] -> [n, ] 3568 +[ug][g] -> [ugg] 3569 +[al][y] -> [aly] 3570 +[. ][J] -> [. J] 3571 +[F][rom ] -> [From ] 3572 +[h][old] -> [hold] 3573 +[res][ent] -> [resent] 3574 +[a ][of ] -> [a of ] 3575 +[F][C ] -> [FC ] 3576 +[oug][ht ] -> [ought ] 3577 +[Sp][ain] -> [Spain] 3578 +[is][su] -> [issu] 3579 +[CO][VI] -> [COVI] 3580 +[ou][ri] -> [ouri] 3581 +[t][ow] -> [tow] 3582 +[200][1 ] -> [2001 ] 3583 +[. It ][has ] -> [. It has ] 3584 +[ob][ ] -> [ob ] 3585 +[i][y] -> [iy] 3586 +[ic][s ] -> [ics ] 3587 +[would ][be ] -> [would be ] 3588 +[is a ][municipality ] -> [is a municipality ] 3589 +[l][ook] -> [look] 3590 +[deaths\u000a][Deaths from ] -> [deaths\u000aDeaths from ] 3591 +[ation ][and ] -> [ation and ] 3592 +[olog][ical ] -> [ological ] 3593 +[195][0] -> [1950] 3594 +[known for ][his ] -> [known for his ] 3595 +[ation ][(] -> [ation (] 3596 +[tion ][of the ] -> [tion of the ] 3597 +[e][th ] -> [eth ] 3598 +[typ][e of ] -> [type of ] 3599 +[M][ur] -> [Mur] 3600 +[er][v] -> [erv] 3601 +[3][:] -> [3:] 3602 +[exampl][e, ] -> [example, ] 3603 +[th][re] -> [thre] 3604 +[And][re] -> [Andre] 3605 +[b][usiness] -> [business] 3606 +[to ][a ] -> [to a ] 3607 +[c][ord] -> [cord] 3608 +[g][od] -> [god] 3609 +[N][ob] -> [Nob] 3610 +[politician][, ] -> [politician, ] 3611 +[ra][is] -> [rais] 3612 +[c][over] -> [cover] 3613 +[on][n] -> [onn] 3614 +[ri][p] -> [rip] 3615 +[un][t] -> [unt] 3616 +[land][, ] -> [land, ] 3617 +[u][al] -> [ual] 3618 +[COVI][D-] -> [COVID-] 3619 +[Mus][ic ] -> [Music ] 3620 +[Republ][ican ] -> [Republican ] 3621 +[C][a] -> [Ca] 3622 +[\u000a ][R] -> [\u000a R] 3623 +[ b][e ] -> [ be ] 3624 +[M][ag] -> [Mag] 3625 +[se][at] -> [seat] 3626 +[Rep][resent] -> [Represent] 3627 +[M][os] -> [Mos] 3628 +[identi][al ] -> [idential ] 3629 +[3 ][- ] -> [3 - ] 3630 +[m][other ] -> [mother ] 3631 +[)][, and ] -> [), and ] 3632 +[ || || — || ][July ] -> [ || || — || July ] 3633 +[T][re] -> [Tre] 3634 +[if][ic ] -> [ific ] 3635 +[between ][the ] -> [between the ] 3636 +[2 ][- ] -> [2 - ] 3637 +[com][e ] -> [come ] 3638 +[le][ad ] -> [lead ] 3639 +[5][)\u000a ] -> [5)\u000a ] 3640 +[syl][van] -> [sylvan] 3641 +[. ][E] -> [. E] 3642 +[l][ing] -> [ling] 3643 +[ap][pl] -> [appl] 3644 +[ist][s ] -> [ists ] 3645 +[eb][all ] -> [eball ] 3646 +[elec][tion ] -> [election ] 3647 +[happ][en] -> [happen] 3648 +[B][ir] -> [Bir] 3649 +[un][g ] -> [ung ] 3650 +[i][es, ] -> [ies, ] 3651 +[e][ak] -> [eak] 3652 +[\u000a][In ] -> [\u000aIn ] 3653 +[II][I] -> [III] 3654 +[France.\u000a\u000a][Communes in ] -> [France.\u000a\u000aCommunes in ] 3655 +[er][b] -> [erb] 3656 +[t][ell] -> [tell] 3657 +[, ][K] -> [, K] 3658 +[n][on-] -> [non-] 3659 +[. ][P] -> [. P] 3660 +[en][erg] -> [energ] 3661 +[is][land ] -> [island ] 3662 +[\u000a ][K] -> [\u000a K] 3663 +[cent][ral ] -> [central ] 3664 +[2][8 ] -> [28 ] 3665 +["][ and ] -> [" and ] 3666 +[d][el] -> [del] 3667 +[) ][in ] -> [) in ] 3668 +[Ger][many ] -> [Germany ] 3669 +[n][er ] -> [ner ] 3670 +[ing][s and ] -> [ings and ] 3671 +[movie ][directed by ] -> [movie directed by ] 3672 +[f][ur] -> [fur] 3673 +[liv][ing ] -> [living ] 3674 +[ro][pol] -> [ropol] 3675 +[ar][y] -> [ary] 3676 +[ud][g] -> [udg] 3677 +[W][est] -> [West] 3678 +[T][ok] -> [Tok] 3679 +[S][ol] -> [Sol] 3680 +[et][ween ] -> [etween ] 3681 +[||][8] -> [||8] 3682 +[int][roduc] -> [introduc] 3683 +[tim][e, ] -> [time, ] 3684 +[is a ][town ] -> [is a town ] 3685 +[mul][ti] -> [multi] 3686 +[m][ix] -> [mix] 3687 +[Scot][tish ] -> [Scottish ] 3688 +[bod][y ] -> [body ] 3689 +[Americ][a] -> [America] 3690 +[phil][os] -> [philos] 3691 +[o][z] -> [oz] 3692 +[direct][or] -> [director] 3693 +[as well ][as ] -> [as well as ] 3694 +[all ][the ] -> [all the ] 3695 +[9 ][- ] -> [9 - ] 3696 +[wom][en ] -> [women ] 3697 +[ma][thematic] -> [mathematic] 3698 +[us][es ] -> [uses ] 3699 +[e ][for ] -> [e for ] 3700 +[r][o ] -> [ro ] 3701 +[mov][ed to ] -> [moved to ] 3702 +[he][al] -> [heal] 3703 +[.\u000a\u000a][On ] -> [.\u000a\u000aOn ] 3704 +[s\u000a\u000a][|-\u000a|] -> [s\u000a\u000a|-\u000a|] 3705 +[ot ][of ] -> [ot of ] 3706 +[e ][B] -> [e B] 3707 +[Par][liam] -> [Parliam] 3708 +[in][flu] -> [influ] 3709 +[er][ing ] -> [ering ] 3710 +[fin][ish] -> [finish] 3711 +[inv][olv] -> [involv] 3712 +[sup][port] -> [support] 3713 +[auth][or] -> [author] 3714 +[m][id] -> [mid] 3715 +[t][est] -> [test] 3716 +[r][un ] -> [run ] 3717 +[on ][a ] -> [on a ] 3718 +[Col][umb] -> [Columb] 3719 +[18][4] -> [184] 3720 +[c][od] -> [cod] 3721 +[O][ ] -> [O ] 3722 +[n][ow] -> [now] 3723 +[enc][y ] -> [ency ] 3724 +[an][th] -> [anth] 3725 +[ach][us] -> [achus] 3726 +[en][z] -> [enz] 3727 +[he][av] -> [heav] 3728 +[L][a ] -> [La ] 3729 +[9][4] -> [94] 3730 +[le][av] -> [leav] 3731 +[G][all] -> [Gall] 3732 +[fro][g] -> [frog] 3733 +[coun][ti] -> [counti] 3734 +[E][OS] -> [EOS] 3735 +[2][6 ] -> [26 ] 3736 +[at ][a ] -> [at a ] 3737 +[P][rem] -> [Prem] 3738 +[197][4] -> [1974] 3739 +[al][most ] -> [almost ] 3740 +[)][.\u000a ] -> [).\u000a ] 3741 +[F][ri] -> [Fri] 3742 +[P][as] -> [Pas] 3743 +[w][ood] -> [wood] 3744 +[a S][ill] -> [a Sill] 3745 +[sou][thern ] -> [southern ] 3746 +[Lou][is] -> [Louis] 3747 +[196][8] -> [1968] 3748 +[d][anc] -> [danc] 3749 +[inc][reas] -> [increas] 3750 +[ers][h] -> [ersh] 3751 +[wh][e] -> [whe] 3752 +[New ][Jers] -> [New Jers] 3753 +[|| ][ || || ] -> [|| || || ] 3754 +[b][in] -> [bin] 3755 +[play][ing ] -> [playing ] 3756 +[o][on ] -> [oon ] 3757 +[achus][ett] -> [achusett] 3758 +[winn][ing ] -> [winning ] 3759 +[ || L][a Sill] -> [ || La Sill] 3760 +[and][, ] -> [and, ] 3761 +[po][et] -> [poet] 3762 +[sel][f ] -> [self ] 3763 +[\u000a ][H] -> [\u000a H] 3764 +[ag][e] -> [age] 3765 +[New Yor][k] -> [New York] 3766 +[ers ][(] -> [ers (] 3767 +[fin][al ] -> [final ] 3768 +[Distric][t] -> [District] 3769 +[said ][that ] -> [said that ] 3770 +[n][ever ] -> [never ] 3771 +[national ][team] -> [national team] 3772 +[is ][in ] -> [is in ] 3773 +[s\u000a][American ] -> [s\u000aAmerican ] 3774 +[197][6] -> [1976] 3775 +[contro][l ] -> [control ] 3776 +[west ][of ] -> [west of ] 3777 +[people ][who ] -> [people who ] 3778 +[ec][aus] -> [ecaus] 3779 +[Jew][ish ] -> [Jewish ] 3780 +[l][ar] -> [lar] 3781 +[ag][re] -> [agre] 3782 +[St][or] -> [Stor] 3783 +[we][ek] -> [week] 3784 +[c][ir] -> [cir] 3785 +[rem][ain] -> [remain] 3786 +[G][al] -> [Gal] 3787 +[system][ ] -> [system ] 3788 +[Penn][sylvan] -> [Pennsylvan] 3789 +[ra][in ] -> [rain ] 3790 +[200][8 ] -> [2008 ] 3791 +[end][ed ] -> [ended ] 3792 +[at][e] -> [ate] 3793 +[M][el] -> [Mel] 3794 +[st][on] -> [ston] 3795 +[gre][at ] -> [great ] 3796 +[ || align=right | ][5.] -> [ || align=right | 5.] 3797 +[Summer ][Olympic] -> [Summer Olympic] 3798 +[ber][t ] -> [bert ] 3799 +[i][um] -> [ium] 3800 +[w][al] -> [wal] 3801 +[ra][il] -> [rail] 3802 +[\u000a ][ ] -> [\u000a ] 3803 +[eak][al] -> [eakal] 3804 +[b][all] -> [ball] 3805 +[b][att] -> [batt] 3806 +[in][-] -> [in-] 3807 +[ || La Sill][a || ] -> [ || La Silla || ] 3808 +[ing ][(] -> [ing (] 3809 +[k][s ] -> [ks ] 3810 +[D][u] -> [Du] 3811 +[er ][than ] -> [er than ] 3812 +[Hal][eakal] -> [Haleakal] 3813 +[tic][al ] -> [tical ] 3814 +[a][is] -> [ais] 3815 +[on][ic ] -> [onic ] 3816 +[t][op] -> [top] 3817 +[S][ant] -> [Sant] 3818 +[. It ][is a ] -> [. It is a ] 3819 +[ing ][to the ] -> [ing to the ] 3820 +[ap][ ] -> [ap ] 3821 +[w][ater] -> [water] 3822 +[c][ity] -> [city] 3823 +[a ][K] -> [a K] 3824 +[group ][of ] -> [group of ] 3825 +[school][ ] -> [school ] 3826 +[re][qu] -> [requ] 3827 +[youn][g ] -> [young ] 3828 +[re][port] -> [report] 3829 +[s][ent ] -> [sent ] 3830 +[d][own] -> [down] 3831 +[s][epar] -> [separ] 3832 +[U.S. ][state of ] -> [U.S. state of ] 3833 +[scre][en] -> [screen] 3834 +[l][in ] -> [lin ] 3835 +[Republ][ic] -> [Republic] 3836 +[am][ong ] -> [among ] 3837 +[es][-] -> [es-] 3838 +[, ][L] -> [, L] 3839 +[G][od] -> [God] 3840 +[wh][ite ] -> [white ] 3841 +[3]["|] -> [3"|] 3842 +[marri][ed ] -> [married ] 3843 +[Ir][an] -> [Iran] 3844 +[t][ed ] -> [ted ] 3845 +[atur][e ] -> [ature ] 3846 +[197][7] -> [1977] 3847 +[. ][C] -> [. C] 3848 +[5][4] -> [54] 3849 +[hab][it] -> [habit] 3850 +[ea][d of ] -> [ead of ] 3851 +[sol][di] -> [soldi] 3852 +[uc][le] -> [ucle] 3853 +[w][ood ] -> [wood ] 3854 +[l][ight] -> [light] 3855 +[mon][ey ] -> [money ] 3856 +[born ][on ] -> [born on ] 3857 +[w][at] -> [wat] 3858 +[rit][or] -> [ritor] 3859 +[w][in] -> [win] 3860 +[descri][b] -> [describ] 3861 +[ || ][Haleakal] -> [ || Haleakal] 3862 +[197][3] -> [1973] 3863 +[, ][D] -> [, D] 3864 +[became ][the ] -> [became the ] 3865 +[ad][ministr] -> [administr] 3866 +[\u000a][L] -> [\u000aL] 3867 +[con][duc] -> [conduc] 3868 +[natur][al ] -> [natural ] 3869 +[ac][ros] -> [acros] 3870 +[s][iz] -> [siz] 3871 +[ro][m] -> [rom] 3872 +[om][et] -> [omet] 3873 +[nor][thern ] -> [northern ] 3874 +[ult][ure] -> [ulture] 3875 +[J][r] -> [Jr] 3876 +[B][ul] -> [Bul] 3877 +[n][i] -> [ni] 3878 +[th ][and ] -> [th and ] 3879 +[h][an] -> [han] 3880 +[s][old ] -> [sold ] 3881 +[Y][oun] -> [Youn] 3882 +[197][5] -> [1975] 3883 +[and][id] -> [andid] 3884 +[||rowspan="][3"|] -> [||rowspan="3"|] 3885 +[ || ][T] -> [ || T] 3886 +[s][ay ] -> [say ] 3887 +[politician][s\u000a] -> [politicians\u000a] 3888 +[le][ast ] -> [least ] 3889 +[. ][O] -> [. O] 3890 +[Univers][ity] -> [University] 3891 +[. A][t ] -> [. At ] 3892 +[FI][FA ] -> [FIFA ] 3893 +[ar][ea] -> [area] 3894 +[M][ount ] -> [Mount ] 3895 +[err][y ] -> [erry ] 3896 +[C][ze] -> [Cze] 3897 +[y][, and ] -> [y, and ] 3898 +[youn][g] -> [young] 3899 +[the][ast ] -> [theast ] 3900 +[movie ][actors\u000a] -> [movie actors\u000a] 3901 +[f][act] -> [fact] 3902 +[com][peti] -> [competi] 3903 +[childr][en] -> [children] 3904 +[tem][per] -> [temper] 3905 +[1 ][- ] -> [1 - ] 3906 +[H][um] -> [Hum] 3907 +[county ][seat ] -> [county seat ] 3908 +[ettlement][s in ] -> [ettlements in ] 3909 +[2][7 ] -> [27 ] 3910 +[ex][ ] -> [ex ] 3911 +[s]["] -> [s"] 3912 +[ain][t ] -> [aint ] 3913 +[st][ation ] -> [station ] 3914 +[P][ic] -> [Pic] 3915 +[se][t in ] -> [set in ] 3916 +[fin][d ] -> [find ] 3917 +[ || Haleakal][a || ] -> [ || Haleakala || ] 3918 +[D][ay ] -> [Day ] 3919 +[r][un] -> [run] 3920 +[T][om] -> [Tom] 3921 +[8][4] -> [84] 3922 +[sh][ort] -> [short] 3923 +[V][all] -> [Vall] 3924 +[Sec][ret] -> [Secret] 3925 +[ers ][in ] -> [ers in ] 3926 +[s][. He ] -> [s. He ] 3927 +[S][ar] -> [Sar] 3928 +[" ][– ] -> [" – ] 3929 +[e][u] -> [eu] 3930 +[||0][\u000a|-\u000a|199] -> [||0\u000a|-\u000a|199] 3931 +[also ][known as ] -> [also known as ] 3932 +[ov][ ] -> [ov ] 3933 +[movi][es] -> [movies] 3934 +[s][.\u000a ] -> [s.\u000a ] 3935 +[ent][al ] -> [ental ] 3936 +[ers ][are ] -> [ers are ] 3937 +[f][ish] -> [fish] 3938 +[de ][l] -> [de l] 3939 +[t][or ] -> [tor ] 3940 +[St][ar ] -> [Star ] 3941 +[is][land] -> [island] 3942 +[s and ][the ] -> [s and the ] 3943 +[C][ivil ] -> [Civil ] 3944 +[8][7] -> [87] 3945 +[as][hi] -> [ashi] 3946 +[nor][m] -> [norm] 3947 +[, 1999][ || ] -> [, 1999 || ] 3948 +[o][ther] -> [other] 3949 +[M][y ] -> [My ] 3950 +[used ][for ] -> [used for ] 3951 +[ing ][of the ] -> [ing of the ] 3952 +[9][7] -> [97] 3953 +[ser][ies] -> [series] 3954 +[Ir][ish ] -> [Irish ] 3955 +[is ][in the ] -> [is in the ] 3956 +[bro][ad] -> [broad] 3957 +[Indi][a] -> [India] 3958 +[po][st] -> [post] 3959 +[where ][the ] -> [where the ] 3960 +[U][E] -> [UE] 3961 +[radi][o ] -> [radio ] 3962 +[En][ter] -> [Enter] 3963 +[200][6 ] -> [2006 ] 3964 +[f][ood ] -> [food ] 3965 +[pe][di] -> [pedi] 3966 +[197][2] -> [1972] 3967 +[M][ ] -> [M ] 3968 +[J. ][League ] -> [J. League ] 3969 +[called ]["] -> [called "] 3970 +[Isl][am] -> [Islam] 3971 +[out ][of ] -> [out of ] 3972 +[ow][er ] -> [ower ] 3973 +[. \u000a\u000a][The ] -> [. \u000a\u000aThe ] 3974 +[d]['] -> [d'] 3975 +[�][�] -> [ô] 3976 +[ || Haleakala || ][NEAT] -> [ || Haleakala || NEAT] 3977 +[l][iter] -> [liter] 3978 +[ar][ter] -> [arter] 3979 +[ish][op] -> [ishop] 3980 +[law][y] -> [lawy] 3981 +[P][L] -> [PL] 3982 +[t][od] -> [tod] 3983 +[con][stitu] -> [constitu] 3984 +[Pol][ish ] -> [Polish ] 3985 +[W][in] -> [Win] 3986 +[num][b] -> [numb] 3987 +[Pr][of] -> [Prof] 3988 +[p][at] -> [pat] 3989 +[d][one ] -> [done ] 3990 +[fem][ale ] -> [female ] 3991 +[high][est ] -> [highest ] 3992 +[.\u000a\u000aReferences\u000a\u000a][193] -> [.\u000a\u000aReferences\u000a\u000a193] 3993 +[ag][ ] -> [ag ] 3994 +[Chur][ch ] -> [Church ] 3995 +[P][ac] -> [Pac] 3996 +[O][R] -> [OR] 3997 +[med][al] -> [medal] 3998 +[vir][on] -> [viron] 3999 +[z][en] -> [zen] 4000 +[ch][o] -> [cho] 4001 +[arr][on] -> [arron] 4002 +[a ][in the ] -> [a in the ] 4003 +[main][ly ] -> [mainly ] 4004 +[vers][ion] -> [version] 4005 +[Vict][or] -> [Victor] 4006 +[Par][k] -> [Park] 4007 +[curr][ently ] -> [currently ] 4008 +[ing ][on ] -> [ing on ] 4009 +[.\u000a\u000a][He ] -> [.\u000a\u000aHe ] 4010 +[. ][Al] -> [. Al] 4011 +[. M][any ] -> [. Many ] 4012 +[pi][ec] -> [piec] 4013 +[Kor][ean ] -> [Korean ] 4014 +[An][im] -> [Anim] 4015 +[er-][songwrit] -> [er-songwrit] 4016 +[i][er] -> [ier] 4017 +[Fr][ank] -> [Frank] 4018 +[sh][ap] -> [shap] 4019 +[vari][ous ] -> [various ] 4020 +[sy][mb] -> [symb] 4021 +[rec][ogn] -> [recogn] 4022 +[grad][u] -> [gradu] 4023 +[tit][le ] -> [title ] 4024 +[Part][y ] -> [Party ] 4025 +[St][udi] -> [Studi] 4026 +[w][in ] -> [win ] 4027 +[com][mon] -> [common] 4028 +[Y][ou ] -> [You ] 4029 +[es\u000a\u000a][Referenc] -> [es\u000a\u000aReferenc] 4030 +[em][pl] -> [empl] 4031 +[is][l] -> [isl] 4032 +[av][ar] -> [avar] 4033 +[L][ov] -> [Lov] 4034 +[ul][ar] -> [ular] 4035 +[or][n ] -> [orn ] 4036 +[Euro][p] -> [Europ] 4037 +[ec][tion] -> [ection] 4038 +[me][as] -> [meas] 4039 +[P][ubl] -> [Publ] 4040 +[ad][di] -> [addi] 4041 +[C][amp] -> [Camp] 4042 +[includ][es ] -> [includes ] 4043 +[\u000a\u000a][S] -> [\u000a\u000aS] 4044 +[Californ][ia\u000a] -> [California\u000a] 4045 +[Chicag][o ] -> [Chicago ] 4046 +[t][ropical ] -> [tropical ] 4047 +[oug][h] -> [ough] 4048 +[mus][ical ] -> [musical ] 4049 +[arch][it] -> [archit] 4050 +[bur][g ] -> [burg ] 4051 +[Republic ][of ] -> [Republic of ] 4052 +[arron][diss] -> [arrondiss] 4053 +[ert][ain ] -> [ertain ] 4054 +[there ][were ] -> [there were ] 4055 +[anim][al] -> [animal] 4056 +[\u000a][R] -> [\u000aR] 4057 +[, ][H] -> [, H] 4058 +[Riv][er\u000a ] -> [River\u000a ] 4059 +[ births\u000a][2020 ] -> [ births\u000a2020 ] 4060 +[E][duc] -> [Educ] 4061 +[was ][also ] -> [was also ] 4062 +[For][mer ] -> [Former ] 4063 +[e][y, ] -> [ey, ] 4064 +[in][a || ] -> [ina || ] 4065 +[ograph][y ] -> [ography ] 4066 +[at][ed] -> [ated] 4067 +[st][ation] -> [station] 4068 +[||0][||3] -> [||0||3] 4069 +[att][ack ] -> [attack ] 4070 +[As][ian ] -> [Asian ] 4071 +[a ][F] -> [a F] 4072 +[Phil][ipp] -> [Philipp] 4073 +[en ][and ] -> [en and ] 4074 +[anim][ated ] -> [animated ] 4075 +[ter][m] -> [term] 4076 +[Ed][ward ] -> [Edward ] 4077 +[D][ay] -> [Day] 4078 +[O][s] -> [Os] 4079 +[s ][by ] -> [s by ] 4080 +[television ][actors\u000a] -> [television actors\u000a] 4081 +[con][tr] -> [contr] 4082 +[against ][the ] -> [against the ] 4083 +[2][9 ] -> [29 ] 4084 +[p][ut] -> [put] 4085 +[ar][di] -> [ardi] 4086 +[Illino][is] -> [Illinois] 4087 +[e][ign ] -> [eign ] 4088 +[y ][the ] -> [y the ] 4089 +[. I][f ] -> [. If ] 4090 +[s][um] -> [sum] 4091 +[H][ill] -> [Hill] 4092 +[v][ent] -> [vent] 4093 +[became ][a ] -> [became a ] 4094 +[tur][n ] -> [turn ] 4095 +[re][ad ] -> [read ] 4096 +[ric][h ] -> [rich ] 4097 +[bas][ed on the ] -> [based on the ] 4098 +[h][osp] -> [hosp] 4099 +[s][ist] -> [sist] 4100 +[posi][tion ] -> [position ] 4101 +[ac][tive ] -> [active ] 4102 +[col][leg] -> [colleg] 4103 +[G][i] -> [Gi] 4104 +[s][. She ] -> [s. She ] 4105 +[Par][k ] -> [Park ] 4106 +[M][od] -> [Mod] 4107 +[s][ocial ] -> [social ] 4108 +[s][' ] -> [s' ] 4109 +[Wh][ite ] -> [White ] 4110 +[194][0] -> [1940] 4111 +[A][D] -> [AD] 4112 +[at][ed in ] -> [ated in ] 4113 +[ati][n ] -> [atin ] 4114 +[A][ir ] -> [Air ] 4115 +[c][le ] -> [cle ] 4116 +[g][an] -> [gan] 4117 +[iti][es ] -> [ities ] 4118 +[bo][ard] -> [board] 4119 +[199][1] -> [1991] 4120 +[have ][a ] -> [have a ] 4121 +[C][SS] -> [CSS] 4122 +[\u000a ][P] -> [\u000a P] 4123 +[H][ockey ] -> [Hockey ] 4124 +[pow][er] -> [power] 4125 +[St][an] -> [Stan] 4126 +[at][, ] -> [at, ] 4127 +[r][a ] -> [ra ] 4128 +[bl][ack ] -> [black ] 4129 +[or][b] -> [orb] 4130 +[r][ ] -> [r ] 4131 +[. D][ur] -> [. Dur] 4132 +[th][od] -> [thod] 4133 +[ab][le] -> [able] 4134 +[Washing][ton ] -> [Washington ] 4135 +[sci][entist] -> [scientist] 4136 +[!][ ] -> [! ] 4137 +[all][y, ] -> [ally, ] 4138 +[Catal][ina || ] -> [Catalina || ] 4139 +[ti][tl] -> [titl] 4140 +[k][ing] -> [king] 4141 +[peri][od] -> [period] 4142 +[Swed][en] -> [Sweden] 4143 +[mat][er] -> [mater] 4144 +[are ][the ] -> [are the ] 4145 +[K][e] -> [Ke] 4146 +[ch][e] -> [che] 4147 +[spe][ak] -> [speak] 4148 +[196][7] -> [1967] 4149 +[ow][s ] -> [ows ] 4150 +[Catalina || ][CSS] -> [Catalina || CSS] 4151 +[s][. In ] -> [s. In ] 4152 +[Academ][y ] -> [Academy ] 4153 +[con][f] -> [conf] 4154 +[Atl][an] -> [Atlan] 4155 +[L][a] -> [La] 4156 +[K][ent] -> [Kent] 4157 +[ed][it] -> [edit] 4158 +[comp][uter ] -> [computer ] 4159 +[201][4 ] -> [2014 ] 4160 +[al][-] -> [al-] 4161 +[cl][aim] -> [claim] 4162 +[sec][ond] -> [second] 4163 +[tur][al ] -> [tural ] 4164 +[l][os] -> [los] 4165 +[p][ian] -> [pian] 4166 +[\u000a][H] -> [\u000aH] 4167 +[i][tion ] -> [ition ] 4168 +[l][ow ] -> [low ] 4169 +[se][a ] -> [sea ] 4170 +[r][y] -> [ry] 4171 +[A][ri] -> [Ari] 4172 +[Franc][is] -> [Francis] 4173 +[" ][| ] -> [" | ] 4174 +[end ][of the ] -> [end of the ] 4175 +[con][n] -> [conn] 4176 +[,00][0] -> [,000] 4177 +[esp][ec] -> [espec] 4178 +[d][eg] -> [deg] 4179 +[9][, ] -> [9, ] 4180 +[bas][ket] -> [basket] 4181 +[struc][ture] -> [structure] 4182 +[N][ic] -> [Nic] 4183 +[urric][ane ] -> [urricane ] 4184 +[Footb][all] -> [Football] 4185 +[i ][and ] -> [i and ] 4186 +[C][ub] -> [Cub] 4187 +[or][e] -> [ore] 4188 +[ol][e ] -> [ole ] 4189 +[iti][es of ] -> [ities of ] 4190 +[201][2 ] -> [2012 ] 4191 +[h][ard ] -> [hard ] 4192 +[), ][a ] -> [), a ] 4193 +[sy][n] -> [syn] 4194 +[s][) ] -> [s) ] 4195 +[�][�] -> [°] 4196 +[will][ be ] -> [will be ] 4197 +[pow][er ] -> [power ] 4198 +[c][lim] -> [clim] 4199 +[le][y] -> [ley] 4200 +[s][ort] -> [sort] 4201 +[ch][, ] -> [ch, ] 4202 +[I][ow] -> [Iow] 4203 +[ol][f] -> [olf] 4204 +[s][of] -> [sof] 4205 +[ac][tion] -> [action] 4206 +[S][om] -> [Som] 4207 +[qu][al] -> [qual] 4208 +[E][p] -> [Ep] 4209 +[h][it ] -> [hit ] 4210 +[ep][h ] -> [eph ] 4211 +[ec][k] -> [eck] 4212 +[||][9] -> [||9] 4213 +[, 199][7] -> [, 1997] 4214 +[a][str] -> [astr] 4215 +[201][6 ] -> [2016 ] 4216 +[ei][ther ] -> [either ] 4217 +[in][s ] -> [ins ] 4218 +[ul][ ] -> [ul ] 4219 +[201][7 ] -> [2017 ] 4220 +[bet][ter ] -> [better ] 4221 +[career statistic][s\u000a\u000a|-\u000a|] -> [career statistics\u000a\u000a|-\u000a|] 4222 +[ur][y ] -> [ury ] 4223 +[, 2000 || Socorro || LINEAR || — || align=right | ][2.] -> [, 2000 || Socorro || LINEAR || — || align=right | 2.] 4224 +[espec][ially ] -> [especially ] 4225 +[St][ev] -> [Stev] 4226 +[for ][his ] -> [for his ] 4227 +[�][�] -> [ć] 4228 +[in][e, ] -> [ine, ] 4229 +[sing][er-songwrit] -> [singer-songwrit] 4230 +[pres][ent ] -> [present ] 4231 +[A][k] -> [Ak] 4232 +[mod][el] -> [model] 4233 +[due ][to ] -> [due to ] 4234 +[th][r] -> [thr] 4235 +[ar][tic] -> [artic] 4236 +[tr][an] -> [tran] 4237 +[ary ][of ] -> [ary of ] 4238 +[In][stitut] -> [Institut] 4239 +[200][7 ] -> [2007 ] 4240 +[it][te] -> [itte] 4241 +[ies ][of ] -> [ies of ] 4242 +[pr][inc] -> [princ] 4243 +[g][old ] -> [gold ] 4244 +[g][er] -> [ger] 4245 +[pre][vi] -> [previ] 4246 +[Dep][art] -> [Depart] 4247 +[Count][y] -> [County] 4248 +[n][et ] -> [net ] 4249 +[d][riv] -> [driv] 4250 +[pris][on] -> [prison] 4251 +[hav][ing ] -> [having ] 4252 +[W][restl] -> [Wrestl] 4253 +[n][o] -> [no] 4254 +[f][unc] -> [func] 4255 +[H][a] -> [Ha] 4256 +[r][id] -> [rid] 4257 +[Jos][eph ] -> [Joseph ] 4258 +[ro][und ] -> [round ] 4259 +[V][ ] -> [V ] 4260 +[sp][ap] -> [spap] 4261 +[9][3] -> [93] 4262 +[196][4] -> [1964] 4263 +[un][ch] -> [unch] 4264 +[R][ock] -> [Rock] 4265 +[man][, ] -> [man, ] 4266 +[au][di] -> [audi] 4267 +[res][s ] -> [ress ] 4268 +[s.\u000a\u000a][The ] -> [s.\u000a\u000aThe ] 4269 +[S][he ] -> [She ] 4270 +[es ][with ] -> [es with ] 4271 +[ard][in] -> [ardin] 4272 +[President ][of the ] -> [President of the ] 4273 +[L][uc] -> [Luc] 4274 +[are][as ] -> [areas ] 4275 +[N][ ] -> [N ] 4276 +[found in the ][region ] -> [found in the region ] 4277 +[||][10] -> [||10] 4278 +[B][ang] -> [Bang] 4279 +[s][-] -> [s-] 4280 +[5][7] -> [57] 4281 +[Pres][ident] -> [President] 4282 +[L][ad] -> [Lad] 4283 +[D][an] -> [Dan] 4284 +[19][20] -> [1920] 4285 +[Californ][ia ] -> [California ] 4286 +[a ][is a ] -> [a is a ] 4287 +[resp][ons] -> [respons] 4288 +[e ][that ] -> [e that ] 4289 +[drama ][movies\u000a] -> [drama movies\u000a] 4290 +[N][et] -> [Net] 4291 +[c][ast ] -> [cast ] 4292 +[sup][er] -> [super] 4293 +[ac][e] -> [ace] 4294 +[g][ive ] -> [give ] 4295 +[caus][ed by ] -> [caused by ] 4296 +[F][ ] -> [F ] 4297 +[.\u000a\u000a][P] -> [.\u000a\u000aP] 4298 +[m][ight ] -> [might ] 4299 +[m][ir] -> [mir] 4300 +[Nob][el ] -> [Nobel ] 4301 +[St][ar] -> [Star] 4302 +[8 ][- ] -> [8 - ] 4303 +[olog][y] -> [ology] 4304 +[prov][id] -> [provid] 4305 +[was the ][first ] -> [was the first ] 4306 +[ers ][to ] -> [ers to ] 4307 +[�][�] -> [š] 4308 +[a][. The ] -> [a. The ] 4309 +[N][H] -> [NH] 4310 +[row][n] -> [rown] 4311 +[o][\u000a ] -> [o\u000a ] 4312 +[ap][pro] -> [appro] 4313 +[ch][art] -> [chart] 4314 +[r][ank] -> [rank] 4315 +[pr][ac] -> [prac] 4316 +[st][ro] -> [stro] 4317 +[Willi][am] -> [William] 4318 +[is ][one of the ] -> [is one of the ] 4319 +[T][al] -> [Tal] 4320 +[int][end] -> [intend] 4321 +[. A][t the ] -> [. At the ] 4322 +[8][)\u000a ] -> [8)\u000a ] 4323 +[sev][en ] -> [seven ] 4324 +[Que][en ] -> [Queen ] 4325 +[distric][t of ] -> [district of ] 4326 +[Represent][ativ] -> [Representativ] 4327 +[ex][ist] -> [exist] 4328 +[ bec][ame ] -> [ became ] 4329 +[B][ill] -> [Bill] 4330 +[, 2002][ || Socorro || LINEAR || ] -> [, 2002 || Socorro || LINEAR || ] 4331 +[Wh][it] -> [Whit] 4332 +[sur][viv] -> [surviv] 4333 +[er ][for ] -> [er for ] 4334 +[S][il] -> [Sil] 4335 +[as ][an ] -> [as an ] 4336 +[E][s] -> [Es] 4337 +[ab][b] -> [abb] 4338 +[c][ros] -> [cros] 4339 +[er][, and ] -> [er, and ] 4340 +[can ][also ] -> [can also ] 4341 +[daugh][ter ] -> [daughter ] 4342 +[Vi][et] -> [Viet] 4343 +[sty][le] -> [style] 4344 +[s from ][the ] -> [s from the ] 4345 +[a s][m] -> [a sm] 4346 +[196][6] -> [1966] 4347 +[inn][es] -> [innes] 4348 +[yn][ast] -> [ynast] 4349 +[con][di] -> [condi] 4350 +[M][ost ] -> [Most ] 4351 +[col][on] -> [colon] 4352 +[en][e ] -> [ene ] 4353 +[ter][s ] -> [ters ] 4354 +[c][andid] -> [candid] 4355 +[sh][ar] -> [shar] 4356 +[at][om] -> [atom] 4357 +[i][us ] -> [ius ] 4358 +[Mass][achusett] -> [Massachusett] 4359 +[N][az] -> [Naz] 4360 +[sp][ort ] -> [sport ] 4361 +[n][es] -> [nes] 4362 +[H][aw] -> [Haw] 4363 +[ro][ad] -> [road] 4364 +[M][r] -> [Mr] 4365 +[it][an ] -> [itan ] 4366 +[b][igg] -> [bigg] 4367 +[St][r] -> [Str] 4368 +[ac][ ] -> [ac ] 4369 +[m][is] -> [mis] 4370 +[end ][of ] -> [end of ] 4371 +[rem][e ] -> [reme ] 4372 +[u][h] -> [uh] 4373 +[M][ount] -> [Mount] 4374 +[wom][an ] -> [woman ] 4375 +[at][ely ] -> [ately ] 4376 +[ever][y] -> [every] 4377 +[par][ti] -> [parti] 4378 +[o][ch] -> [och] 4379 +[m][ay] -> [may] 4380 +[.][, ] -> [., ] 4381 +[e][. ] -> [e. ] 4382 +[tot][al ] -> [total ] 4383 +[f][all] -> [fall] 4384 +[Bu][ild] -> [Build] 4385 +[-][language ] -> [-language ] 4386 +[di][rec] -> [direc] 4387 +[al][ist ] -> [alist ] 4388 +[to ][make ] -> [to make ] 4389 +[Govern][or of ] -> [Governor of ] 4390 +[writ][ers\u000a] -> [writers\u000a] 4391 +[B][ern] -> [Bern] 4392 +[S][a] -> [Sa] 4393 +[6][7] -> [67] 4394 +[.\u000a\u000a][T] -> [.\u000a\u000aT] 4395 +[ bgcolor=#fefefe\u000a| 1][0] -> [ bgcolor=#fefefe\u000a| 10] 4396 +[us][tic] -> [ustic] 4397 +[population ][was ] -> [population was ] 4398 +[inc][e the ] -> [ince the ] 4399 +[ag][e, ] -> [age, ] 4400 +[Arm][en] -> [Armen] 4401 +[�][�] -> [ç] 4402 +[olu][tion] -> [olution] 4403 +[�][�] -> [å] 4404 +[tr][a] -> [tra] 4405 +[origin][ally ] -> [originally ] 4406 +[Hung][ar] -> [Hungar] 4407 +[v][ict] -> [vict] 4408 +[com][edi] -> [comedi] 4409 +[ro][ad ] -> [road ] 4410 +[anc][ient ] -> [ancient ] 4411 +[r][an ] -> [ran ] 4412 +[is][on ] -> [ison ] 4413 +[ k][m] -> [ km] 4414 +[es][: ] -> [es: ] 4415 +[pl][at] -> [plat] 4416 +[exec][u] -> [execu] 4417 +[. Th][e] -> [. The] 4418 +[d][on] -> [don] 4419 +[z][on] -> [zon] 4420 +[Gold][en ] -> [Golden ] 4421 +[ou][l] -> [oul] 4422 +[ice ][hockey ] -> [ice hockey ] 4423 +[J][ac] -> [Jac] 4424 +[rel][ated ] -> [related ] 4425 +[ev][ent ] -> [event ] 4426 +[C][oun] -> [Coun] 4427 +[innes][ot] -> [innesot] 4428 +[mer][c] -> [merc] 4429 +[sh][own ] -> [shown ] 4430 +[al ][and ] -> [al and ] 4431 +[J][er] -> [Jer] 4432 +[th][ink ] -> [think ] 4433 +[f][if] -> [fif] 4434 +[eg][g] -> [egg] 4435 +[up ][to ] -> [up to ] 4436 +[s][. They ] -> [s. They ] 4437 +[A][v] -> [Av] 4438 +[. ][El] -> [. El] 4439 +[Pakist][an] -> [Pakistan] 4440 +[to][o ] -> [too ] 4441 +[e.\u000a\u000a][The ] -> [e.\u000a\u000aThe ] 4442 +[becaus][e of ] -> [because of ] 4443 +[T][enn] -> [Tenn] 4444 +[200][9 ] -> [2009 ] 4445 +[200][4 ] -> [2004 ] 4446 +[sup][port ] -> [support ] 4447 +[dr][ug] -> [drug] 4448 +[popul][ation of ] -> [population of ] 4449 +[o][on] -> [oon] 4450 +[Miss][ouri] -> [Missouri] 4451 +[mer][g] -> [merg] 4452 +[ed ][as the ] -> [ed as the ] 4453 +[d][or] -> [dor] 4454 +[9][)\u000a ] -> [9)\u000a ] 4455 +[in][str] -> [instr] 4456 +[mat][ch ] -> [match ] 4457 +[American ][movie ] -> [American movie ] 4458 +[tak][es ] -> [takes ] 4459 +[Wom][en's ] -> [Women's ] 4460 +[found ][in ] -> [found in ] 4461 +[countri][es ] -> [countries ] 4462 +[n][d ] -> [nd ] 4463 +[Spr][ing] -> [Spring] 4464 +[air][craf] -> [aircraf] 4465 +[G][ar] -> [Gar] 4466 +[trans][l] -> [transl] 4467 +[ b][ut ] -> [ but ] 4468 +[es, ][the ] -> [es, the ] 4469 +[Riv][er\u000a] -> [River\u000a] 4470 +[e][.\u000a ] -> [e.\u000a ] 4471 +[m][ach] -> [mach] 4472 +[ear][li] -> [earli] 4473 +[f][ig] -> [fig] 4474 +[H][el] -> [Hel] 4475 +[e and ][the ] -> [e and the ] 4476 +[b][on] -> [bon] 4477 +[\u000a][C] -> [\u000aC] 4478 +[play][ers] -> [players] 4479 +[ous][ly ] -> [ously ] 4480 +[l][ah] -> [lah] 4481 +[inform][ation ] -> [information ] 4482 +[s ][at ] -> [s at ] 4483 +[Or][gan] -> [Organ] 4484 +[\u000a|}][\u000a\u000a] -> [\u000a|}\u000a\u000a] 4485 +[3][1 ] -> [31 ] 4486 +[d][en] -> [den] 4487 +[ || — || align=right | ][5.] -> [ || — || align=right | 5.] 4488 +[ ][– ] -> [ – ] 4489 +[196][5] -> [1965] 4490 +[iti][ve ] -> [itive ] 4491 +[ter][, ] -> [ter, ] 4492 +[work][ing ] -> [working ] 4493 +[, 2002][ || Palomar || NEAT] -> [, 2002 || Palomar || NEAT] 4494 +[) ][is the ] -> [) is the ] 4495 +[M][any ] -> [Many ] 4496 +[Sp][ec] -> [Spec] 4497 +[m][on ] -> [mon ] 4498 +[L][at] -> [Lat] 4499 +[p][sych] -> [psych] 4500 +[FLO][ || align=right | 1.] -> [FLO || align=right | 1.] 4501 +[, 200][6] -> [, 2006] 4502 +[193][0] -> [1930] 4503 +[�][�] -> [�] 4504 +[s, ][but ] -> [s, but ] 4505 +[:][\u000a\u000a ] -> [:\u000a\u000a ] 4506 +[A][th] -> [Ath] 4507 +[department ][in ] -> [department in ] 4508 +[New Zeal][and ] -> [New Zealand ] 4509 +[made ][by ] -> [made by ] 4510 +[cl][ose ] -> [close ] 4511 +[ric][k] -> [rick] 4512 +[2][,] -> [2,] 4513 +[, 1998][ || Socorro || LINEAR || — || align=right | ] -> [, 1998 || Socorro || LINEAR || — || align=right | ] 4514 +[I][re] -> [Ire] 4515 +[d][u] -> [du] 4516 +[Bl][ack] -> [Black] 4517 +[l][ig] -> [lig] 4518 +[Tok][y] -> [Toky] 4519 +[P][u] -> [Pu] 4520 +[v][an ] -> [van ] 4521 +[N][ig] -> [Nig] 4522 +[0 ][- ] -> [0 - ] 4523 +[St][e] -> [Ste] 4524 +[ing ][his ] -> [ing his ] 4525 +[A][t] -> [At] 4526 +[Al][p] -> [Alp] 4527 +[196][3] -> [1963] 4528 +[for][d] -> [ford] 4529 +[2020][, ] -> [2020, ] 4530 +[200][5 ] -> [2005 ] 4531 +[Enter][tain] -> [Entertain] 4532 +[deb][ut] -> [debut] 4533 +[S][ociet] -> [Societ] 4534 +[re][v] -> [rev] 4535 +[ ][\u000a\u000a] -> [ \u000a\u000a] 4536 +[en ][in ] -> [en in ] 4537 +[n][ic] -> [nic] 4538 +[1][st ] -> [1st ] 4539 +[Al][b] -> [Alb] 4540 +[car][ri] -> [carri] 4541 +[in the ][U.S. state of ] -> [in the U.S. state of ] 4542 +[L][and] -> [Land] 4543 +[like ][the ] -> [like the ] 4544 +[can][not ] -> [cannot ] 4545 +[part][y ] -> [party ] 4546 +[T][am] -> [Tam] 4547 +[ict][ure] -> [icture] 4548 +[\u000a ][N] -> [\u000a N] 4549 +[East][ern ] -> [Eastern ] 4550 +[was ][not ] -> [was not ] 4551 +[Prime Minist][er of ] -> [Prime Minister of ] 4552 +[Louis][ian] -> [Louisian] 4553 +[Or][d] -> [Ord] 4554 +[pro][per] -> [proper] 4555 +[near ][the ] -> [near the ] 4556 +[Sup][er ] -> [Super ] 4557 +[Batt][le of ] -> [Battle of ] 4558 +[Mar][tin ] -> [Martin ] 4559 +[Arm][y ] -> [Army ] 4560 +[where ][he ] -> [where he ] 4561 +[album][s\u000a] -> [albums\u000a] 4562 +[ch][ann] -> [chann] 4563 +[is ][(] -> [is (] 4564 +[val][ue] -> [value] 4565 +[from ][a ] -> [from a ] 4566 +[Counc][il ] -> [Council ] 4567 +[on ][and ] -> [on and ] 4568 +[L][atin ] -> [Latin ] 4569 +[dist][ribut] -> [distribut] 4570 +[M][ah] -> [Mah] 4571 +[ion ][of ] -> [ion of ] 4572 +[al][ways ] -> [always ] 4573 +[av][ail] -> [avail] 4574 +[D][ar] -> [Dar] 4575 +[Mex][ican ] -> [Mexican ] 4576 +[C][A] -> [CA] 4577 +[p][ap] -> [pap] 4578 +[law][ ] -> [law ] 4579 +[an][a] -> [ana] 4580 +[t][y] -> [ty] 4581 +[et][, ] -> [et, ] 4582 +[m][al] -> [mal] 4583 +[in][es ] -> [ines ] 4584 +[201][3 ] -> [2013 ] 4585 +[s ][on the ] -> [s on the ] 4586 +[miss][ion] -> [mission] 4587 +[vil][le ] -> [ville ] 4588 +[rel][ation] -> [relation] 4589 +[ || Anderson Mesa || LONEOS][ || ] -> [ || Anderson Mesa || LONEOS || ] 4590 +[(][state] -> [(state] 4591 +[receiv][ed ] -> [received ] 4592 +[H][y] -> [Hy] 4593 +[ement ][of ] -> [ement of ] 4594 +[C][ro] -> [Cro] 4595 +[O][ld ] -> [Old ] 4596 +[s][ound] -> [sound] 4597 +[dest][roy] -> [destroy] 4598 +[PL][S] -> [PLS] 4599 +[It ][is ] -> [It is ] 4600 +[T][ro] -> [Tro] 4601 +[P][ers] -> [Pers] 4602 +[canc][er] -> [cancer] 4603 +[m][a ] -> [ma ] 4604 +[Div][ision ] -> [Division ] 4605 +[e][i ] -> [ei ] 4606 +[written ][by ] -> [written by ] 4607 +[ill][er ] -> [iller ] 4608 +[football][ers\u000a] -> [footballers\u000a] 4609 +[son ][of ] -> [son of ] 4610 +[Related pag][es\u000a ] -> [Related pages\u000a ] 4611 +[th][ings ] -> [things ] 4612 +[co][ach] -> [coach] 4613 +[6][3] -> [63] 4614 +[\u000a\u000aReferences\u000a\u000aOther websit][es\u000a\u000a] -> [\u000a\u000aReferences\u000a\u000aOther websites\u000a\u000a] 4615 +[death][s in ] -> [deaths in ] 4616 +[1][1, ] -> [11, ] 4617 +[. I][n] -> [. In] 4618 +[lah][om] -> [lahom] 4619 +[d][og] -> [dog] 4620 +[le][arn] -> [learn] 4621 +[sci][ence ] -> [science ] 4622 +[, he ][was ] -> [, he was ] 4623 +[Car][l] -> [Carl] 4624 +[un][k] -> [unk] 4625 +[chang][e ] -> [change ] 4626 +[f][ight] -> [fight] 4627 +[su][ff] -> [suff] 4628 +[ast][er] -> [aster] 4629 +[e][) ] -> [e) ] 4630 +[ap][h] -> [aph] 4631 +[ || Palomar || ][PLS] -> [ || Palomar || PLS] 4632 +[ap][point] -> [appoint] 4633 +[play][s ] -> [plays ] 4634 +[Ok][lahom] -> [Oklahom] 4635 +[ic][ b] -> [ic b] 4636 +[ful][l ] -> [full ] 4637 +[mag][az] -> [magaz] 4638 +[H][aut] -> [Haut] 4639 +[en][a ] -> [ena ] 4640 +[ing ][in the ] -> [ing in the ] 4641 +[seri][es\u000a] -> [series\u000a] 4642 +[Br][idg] -> [Bridg] 4643 +[movies\u000aMovies ][directed by ] -> [movies\u000aMovies directed by ] 4644 +[ation ][in ] -> [ation in ] 4645 +[Di][rect] -> [Direct] 4646 +[ || S][eptember ] -> [ || September ] 4647 +[Riv][er] -> [River] 4648 +[old][est ] -> [oldest ] 4649 +[F][ar] -> [Far] 4650 +[el][s ] -> [els ] 4651 +[.\u000a\u000a][A] -> [.\u000a\u000aA] 4652 +[f][ood] -> [food] 4653 +[Atlan][tic ] -> [Atlantic ] 4654 +[a][\u000a\u000a] -> [a\u000a\u000a] 4655 +[Gro][up ] -> [Group ] 4656 +[con][struc] -> [construc] 4657 +[gr][and] -> [grand] 4658 +[ro][man] -> [roman] 4659 +[H][or] -> [Hor] 4660 +[l][or] -> [lor] 4661 +[Eli][z] -> [Eliz] 4662 +[", ]["] -> [", "] 4663 +[th centur][y ] -> [th century ] 4664 +[Emp][ire] -> [Empire] 4665 +[pop][ ] -> [pop ] 4666 +[L][ake ] -> [Lake ] 4667 +[9][.] -> [9.] 4668 +[pol][ice ] -> [police ] 4669 +[B][re] -> [Bre] 4670 +[us][h ] -> [ush ] 4671 +[5][0 ] -> [50 ] 4672 +[provinc][e of ] -> [province of ] 4673 +[J][u] -> [Ju] 4674 +[a f][ew ] -> [a few ] 4675 +[ing][\u000a] -> [ing\u000a] 4676 +[\u000a ][C] -> [\u000a C] 4677 +[E][l ] -> [El ] 4678 +[ab][eth ] -> [abeth ] 4679 +[ch][ampionship] -> [championship] 4680 +[o]['s ] -> [o's ] 4681 +[g][en ] -> [gen ] 4682 +[basket][ball ] -> [basketball ] 4683 +[ bec][aus] -> [ becaus] 4684 +[tre][at] -> [treat] 4685 +[the ][same ] -> [the same ] 4686 +[/][/] -> [//] 4687 +[st][op ] -> [stop ] 4688 +[pol][ic] -> [polic] 4689 +[h][our] -> [hour] 4690 +[h][ard] -> [hard] 4691 +[4][:] -> [4:] 4692 +[Ear][th] -> [Earth] 4693 +[H][all of ] -> [Hall of ] 4694 +[ian ][and ] -> [ian and ] 4695 +[ti][an ] -> [tian ] 4696 +[K][y] -> [Ky] 4697 +[ig][r] -> [igr] 4698 +[bir][d] -> [bird] 4699 +[chil][d ] -> [child ] 4700 +[V][o] -> [Vo] 4701 +[ut][e ] -> [ute ] 4702 +[197][1] -> [1971] 4703 +[played ][for ] -> [played for ] 4704 +[typ][es of ] -> [types of ] 4705 +[sel][v] -> [selv] 4706 +[M][y] -> [My] 4707 +[new][spap] -> [newspap] 4708 +[R][am] -> [Ram] 4709 +[ k][n] -> [ kn] 4710 +[ud][e ] -> [ude ] 4711 +[North ][Carol] -> [North Carol] 4712 +[h][tt] -> [htt] 4713 +[ch][an] -> [chan] 4714 +[24][, ] -> [24, ] 4715 +[194][5] -> [1945] 4716 +[u][str] -> [ustr] 4717 +[.\u000a\u000a][L] -> [.\u000a\u000aL] 4718 +[W][i] -> [Wi] 4719 +[An][ton] -> [Anton] 4720 +[u][, ] -> [u, ] 4721 +[l][y, ] -> [ly, ] 4722 +[ant][as] -> [antas] 4723 +[ai][j] -> [aij] 4724 +[Franc][e ] -> [France ] 4725 +[ad][el] -> [adel] 4726 +[D][et] -> [Det] 4727 +[found][ed in ] -> [founded in ] 4728 +[ac][adem] -> [academ] 4729 +[cent][r] -> [centr] 4730 +[Ar][th] -> [Arth] 4731 +[op][her ] -> [opher ] 4732 +[. The][ir ] -> [. Their ] 4733 +[es ][on ] -> [es on ] 4734 +[e of ][a ] -> [e of a ] 4735 +[||1][\u000a|-\u000a|200] -> [||1\u000a|-\u000a|200] 4736 +[mean][ing ] -> [meaning ] 4737 +[s][. It ] -> [s. It ] 4738 +[fr][on] -> [fron] 4739 +[St][eph] -> [Steph] 4740 +[. M][ost ] -> [. Most ] 4741 +[l][eng] -> [leng] 4742 +[201][5 ] -> [2015 ] 4743 +[ic][ally ] -> [ically ] 4744 +[d][ig] -> [dig] 4745 +[htt][p] -> [http] 4746 +[:][//] -> [://] 4747 +[n][ucle] -> [nucle] 4748 +[str][ong] -> [strong] 4749 +[ear][ch] -> [earch] 4750 +[str][ong ] -> [strong ] 4751 +[ag][ue ] -> [ague ] 4752 +[tr][y ] -> [try ] 4753 +[rel][at] -> [relat] 4754 +[cant][on of ] -> [canton of ] 4755 +[poss][ible ] -> [possible ] 4756 +[M][art] -> [Mart] 4757 +[R][ang] -> [Rang] 4758 +[fro][g ] -> [frog ] 4759 +[D][ef] -> [Def] 4760 +[chem][ical ] -> [chemical ] 4761 +[sim][pl] -> [simpl] 4762 +[dat][a-] -> [data-] 4763 +[c][ivil ] -> [civil ] 4764 +[T][ot] -> [Tot] 4765 +[195][6] -> [1956] 4766 +[h][ib] -> [hib] 4767 +[aj][or] -> [ajor] 4768 +[e][ight ] -> [eight ] 4769 +[sort][-] -> [sort-] 4770 +[ian][-] -> [ian-] 4771 +[marri][ed to ] -> [married to ] 4772 +[proc][ess] -> [process] 4773 +[ || align=right | ][6.] -> [ || align=right | 6.] 4774 +[value][="] -> [value="] 4775 +[5][3] -> [53] 4776 +[tr][ack ] -> [track ] 4777 +[a ][C] -> [a C] 4778 +[gre][at] -> [great] 4779 +[ex][per] -> [exper] 4780 +[l][ook ] -> [look ] 4781 +[k][ey] -> [key] 4782 +[D][re] -> [Dre] 4783 +[fi][re] -> [fire] 4784 +[. B][ut ] -> [. But ] 4785 +[independ][ent ] -> [independent ] 4786 +[nomin][ated ] -> [nominated ] 4787 +[Dis][ney ] -> [Disney ] 4788 +[leg][al ] -> [legal ] 4789 +[B][ab] -> [Bab] 4790 +[studio ][album ] -> [studio album ] 4791 +[. F][rom ] -> [. From ] 4792 +[Le][on] -> [Leon] 4793 +[aug][ht ] -> [aught ] 4794 +[wom][en's ] -> [women's ] 4795 +[\u000a\u000a][Other websit] -> [\u000a\u000aOther websit] 4796 +[uc][k ] -> [uck ] 4797 +[W][ood] -> [Wood] 4798 +[a][, and ] -> [a, and ] 4799 +[bre][ak] -> [break] 4800 +[H][is ] -> [His ] 4801 +[to ][re] -> [to re] 4802 +[par][t ] -> [part ] 4803 +[data-][sort-] -> [data-sort-] 4804 +[-][L] -> [-L] 4805 +[s ][as ] -> [s as ] 4806 +[Al][li] -> [Alli] 4807 +[et][er] -> [eter] 4808 +[Lou][is ] -> [Louis ] 4809 +[200][2 ] -> [2002 ] 4810 +[p][en] -> [pen] 4811 +[con][om] -> [conom] 4812 +[an][o ] -> [ano ] 4813 +[s ][\u000a] -> [s \u000a] 4814 +[ed by ][a ] -> [ed by a ] 4815 +[s][ix] -> [six] 4816 +[. ][Y] -> [. Y] 4817 +[ing ][for ] -> [ing for ] 4818 +[in ][(] -> [in (] 4819 +[Muse][um ] -> [Museum ] 4820 +[Emper][or ] -> [Emperor ] 4821 +[re][al ] -> [real ] 4822 +[bro][ther ] -> [brother ] 4823 +[Al][ab] -> [Alab] 4824 +[l][er ] -> [ler ] 4825 +[f][ar] -> [far] 4826 +[ed ][of ] -> [ed of ] 4827 +[Fr][ank ] -> [Frank ] 4828 +[e][ch] -> [ech] 4829 +[cons][ist] -> [consist] 4830 +[sp][ac] -> [spac] 4831 +[camp][a] -> [campa] 4832 +[:][\u000a] -> [:\u000a] 4833 +[Ar][k] -> [Ark] 4834 +[�][�] -> [ā] 4835 +[Sec][ond ] -> [Second ] 4836 +[four][th ] -> [fourth ] 4837 +[that ][he ] -> [that he ] 4838 +[ed][. The ] -> [ed. The ] 4839 +[wh][il] -> [whil] 4840 +[G][ra] -> [Gra] 4841 +[17][9] -> [179] 4842 +[E][. W] -> [E. W] 4843 +[aver][age ] -> [average ] 4844 +[Fil][m] -> [Film] 4845 +[lev][el ] -> [level ] 4846 +[d][in] -> [din] 4847 +[throug][h] -> [through] 4848 +[roug][ht ] -> [rought ] 4849 +[actres][s (] -> [actress (] 4850 +[deb][ut ] -> [debut ] 4851 +[ut][y ] -> [uty ] 4852 +[t][ari] -> [tari] 4853 +[t][ext] -> [text] 4854 +[em][ber] -> [ember] 4855 +[J][ack ] -> [Jack ] 4856 +[Award ][for ] -> [Award for ] 4857 +[Is][land ] -> [Island ] 4858 +[data-sort-][value="] -> [data-sort-value="] 4859 +[P][an] -> [Pan] 4860 +[St][. ] -> [St. ] 4861 +[U][l] -> [Ul] 4862 +[inv][ent] -> [invent] 4863 +[D][oc] -> [Doc] 4864 +[W][is] -> [Wis] 4865 +[Parliam][ent ] -> [Parliament ] 4866 +[in][divid] -> [individ] 4867 +[en][viron] -> [environ] 4868 +[E][UN] -> [EUN] 4869 +[ ][B] -> [ B] 4870 +[u][j] -> [uj] 4871 +[d][ri] -> [dri] 4872 +[elect][ed ] -> [elected ] 4873 +[I][S] -> [IS] 4874 +[R][ail] -> [Rail] 4875 +[As][ia] -> [Asia] 4876 +[�][�] -> [ñ] 4877 +[8][3] -> [83] 4878 +[in][i] -> [ini] 4879 +[E][conom] -> [Econom] 4880 +[T][our] -> [Tour] 4881 +[es ][from the ] -> [es from the ] 4882 +[, 2001 || Socorro || LINEAR || — || align=right | ][1.] -> [, 2001 || Socorro || LINEAR || — || align=right | 1.] 4883 +[F][i] -> [Fi] 4884 +[met][al ] -> [metal ] 4885 +[p][al] -> [pal] 4886 +[bas][ed in ] -> [based in ] 4887 +[s][ourc] -> [sourc] 4888 +[h][ost ] -> [host ] 4889 +[195][9] -> [1959] 4890 +[.\u000a\u000aH][istor] -> [.\u000a\u000aHistor] 4891 +[D][ani] -> [Dani] 4892 +[bas][eball ] -> [baseball ] 4893 +[qu][arter] -> [quarter] 4894 +[. ][This ] -> [. This ] 4895 +[with ][his ] -> [with his ] 4896 +[P][un] -> [Pun] 4897 +[in ][S] -> [in S] 4898 +[nor][th of ] -> [north of ] 4899 +[N][i] -> [Ni] 4900 +[e][ing ] -> [eing ] 4901 +[f][ew ] -> [few ] 4902 +[pres][idential ] -> [presidential ] 4903 +[h][t] -> [ht] 4904 +[C][ri] -> [Cri] 4905 +[N][S] -> [NS] 4906 +[publ][ic] -> [public] 4907 +[is ][called ] -> [is called ] 4908 +[ births\u000a2020 ][deaths\u000a] -> [ births\u000a2020 deaths\u000a] 4909 +[Belg][ian ] -> [Belgian ] 4910 +[enc][e, ] -> [ence, ] 4911 +[consid][er] -> [consider] 4912 +[c][li] -> [cli] 4913 +[Tr][an] -> [Tran] 4914 +[B][ig ] -> [Big ] 4915 +[align=right ][data-sort-value="] -> [align=right data-sort-value="] 4916 +[sp][r] -> [spr] 4917 +[. ]["] -> [. "] 4918 +[song][s] -> [songs] 4919 +[po][int ] -> [point ] 4920 +[ell][ow ] -> [ellow ] 4921 +[posi][tion] -> [position] 4922 +[h][us] -> [hus] 4923 +[ropol][itan ] -> [ropolitan ] 4924 +[R][en] -> [Ren] 4925 +[ul][p] -> [ulp] 4926 +[h][ouse] -> [house] 4927 +[Party (][United States] -> [Party (United States] 4928 +[beg][inn] -> [beginn] 4929 +[c][ar ] -> [car ] 4930 +[le][t ] -> [let ] 4931 +[Kans][as ] -> [Kansas ] 4932 +[t][old ] -> [told ] 4933 +[ by ][the ] -> [ by the ] 4934 +[re][view] -> [review] 4935 +[ ][is a ] -> [ is a ] 4936 +[usin][ess ] -> [usiness ] 4937 +[ian][s ] -> [ians ] 4938 +[a l][ot of ] -> [a lot of ] 4939 +[. They ][were ] -> [. They were ] 4940 +[cri][me ] -> [crime ] 4941 +[h][old ] -> [hold ] 4942 +[World ][Cup ] -> [World Cup ] 4943 +[f][ree ] -> [free ] 4944 +[Par][is] -> [Paris] 4945 +[w][ant ] -> [want ] 4946 +[tour][nam] -> [tournam] 4947 +[rem][ov] -> [remov] 4948 +[.\u000a\u000aReferences\u000a\u000aOther websit][es\u000a] -> [.\u000a\u000aReferences\u000a\u000aOther websites\u000a] 4949 +[Pro][duc] -> [Produc] 4950 +[199][6 ] -> [1996 ] 4951 +[Ital][y] -> [Italy] 4952 +[aut][om] -> [autom] 4953 +[e][at] -> [eat] 4954 +[l][og] -> [log] 4955 +[Con][stitu] -> [Constitu] 4956 +[el][ement] -> [element] 4957 +[n][ear] -> [near] 4958 +[L][ittle ] -> [Little ] 4959 +[Ind][ones] -> [Indones] 4960 +[before ][the ] -> [before the ] 4961 +[o][to ] -> [oto ] 4962 +[ens][ive ] -> [ensive ] 4963 +[GB][T ] -> [GBT ] 4964 +[�][�] -> [â] 4965 +[football play][er. He ] -> [football player. He ] 4966 +[H][M] -> [HM] 4967 +[align=right data-sort-value="][0.] -> [align=right data-sort-value="0.] 4968 +[p][riv] -> [priv] 4969 +[Ar][t] -> [Art] 4970 +[r][u] -> [ru] 4971 +[b][ul] -> [bul] 4972 +[s ][to the ] -> [s to the ] 4973 +[en][ough ] -> [enough ] 4974 +[m][os] -> [mos] 4975 +[196][2] -> [1962] 4976 +[iss][ipp] -> [issipp] 4977 +[ ][- ] -> [ - ] 4978 +[e ][\u000a\u000a] -> [e \u000a\u000a] 4979 +[partic][ip] -> [particip] 4980 +[: ]["] -> [: "] 4981 +[Ph][ys] -> [Phys] 4982 +[T][elevision ] -> [Television ] 4983 +[ast][er ] -> [aster ] 4984 +[sci][enti] -> [scienti] 4985 +[J][es] -> [Jes] 4986 +[a ][G] -> [a G] 4987 +[voc][al] -> [vocal] 4988 +[ac][ter] -> [acter] 4989 +[C][ros] -> [Cros] 4990 +[" ][is a ] -> [" is a ] 4991 +[Sw][iss ] -> [Swiss ] 4992 +[establishments in the ][United States\u000a] -> [establishments in the United States\u000a] 4993 +[Mich][ig] -> [Michig] 4994 +[N][A] -> [NA] 4995 +[them][selv] -> [themselv] 4996 +[E. W][. El] -> [E. W. El] 4997 +[Party (United States][) ] -> [Party (United States) ] 4998 +[which ][was ] -> [which was ] 4999 +[Ob][serv] -> [Observ] 5000 +[M][innesot] -> [Minnesot] 5001 +[sing][ers\u000a] -> [singers\u000a] 5002 +[s][n] -> [sn] 5003 +[symb][ol] -> [symbol] 5004 +[c][ou] -> [cou] 5005 +[common][ly ] -> [commonly ] 5006 +[ne][-] -> [ne-] 5007 +[cont][ain] -> [contain] 5008 +[Pri][z] -> [Priz] 5009 +[W][at] -> [Wat] 5010 +[el][le ] -> [elle ] 5011 +[S][i] -> [Si] 5012 +[fic][tion ] -> [fiction ] 5013 +[Tr][ans] -> [Trans] 5014 +[or ][(] -> [or (] 5015 +[B][ost] -> [Bost] 5016 +[18][3] -> [183] 5017 +[�][�] -> [ã] 5018 +[\u000a][A] -> [\u000aA] 5019 +[w][ind] -> [wind] 5020 +[194][7] -> [1947] 5021 +[t][ain ] -> [tain ] 5022 +[t][ing ] -> [ting ] 5023 +[ay][s ] -> [ays ] 5024 +[l][ast] -> [last] 5025 +[n]['t ] -> [n't ] 5026 +[ch][os] -> [chos] 5027 +[O][x] -> [Ox] 5028 +[Mar][k ] -> [Mark ] 5029 +[Cze][ch ] -> [Czech ] 5030 +[y][an ] -> [yan ] 5031 +[att][emp] -> [attemp] 5032 +[f][oc] -> [foc] 5033 +[En][g] -> [Eng] 5034 +[sur][-] -> [sur-] 5035 +[di][e ] -> [die ] 5036 +[popul][ar] -> [popular] 5037 +[E. W. El][st ] -> [E. W. Elst ] 5038 +[st][er ] -> [ster ] 5039 +[195][7] -> [1957] 5040 +[s][oci] -> [soci] 5041 +[On][tari] -> [Ontari] 5042 +[, 2000 || Socorro || LINEAR || — || align=right | ][1.] -> [, 2000 || Socorro || LINEAR || — || align=right | 1.] 5043 +[||1][1] -> [||11] 5044 +[New Jers][ey] -> [New Jersey] 5045 +[p][a] -> [pa] 5046 +[ag][g] -> [agg] 5047 +[sp][ok] -> [spok] 5048 +[ b][etween ] -> [ between ] 5049 +[House of ][Representativ] -> [House of Representativ] 5050 +[ur][al ] -> [ural ] 5051 +[R][adi] -> [Radi] 5052 +[Wor][ld] -> [World] 5053 +[an][z] -> [anz] 5054 +[Un][ion] -> [Union] 5055 +[ec][tiv] -> [ectiv] 5056 +[lif][e\u000a] -> [life\u000a] 5057 +[com][bin] -> [combin] 5058 +[er][al] -> [eral] 5059 +[Fil][m ] -> [Film ] 5060 +[D][or] -> [Dor] 5061 +[Football][ers from ] -> [Footballers from ] 5062 +[and ][was ] -> [and was ] 5063 +[ap][ol] -> [apol] 5064 +[w][est] -> [west] 5065 +[the][at] -> [theat] 5066 +[H][arr] -> [Harr] 5067 +[195][8] -> [1958] 5068 +[ad][or] -> [ador] 5069 +[e][.] -> [e.] 5070 +[e, ][but ] -> [e, but ] 5071 +[199][9 ] -> [1999 ] 5072 +[wi][m] -> [wim] 5073 +[Gr][amm] -> [Gramm] 5074 +[Con][t] -> [Cont] 5075 +[ear][n] -> [earn] 5076 +[e ][on ] -> [e on ] 5077 +[or][al ] -> [oral ] 5078 +[Nor][w] -> [Norw] 5079 +[or ][the ] -> [or the ] 5080 +[st][ar ] -> [star ] 5081 +[, 2001 || Socorro || LINEAR || — || align=right | ][2.] -> [, 2001 || Socorro || LINEAR || — || align=right | 2.] 5082 +[is a commune. It is ][found in the region ] -> [is a commune. It is found in the region ] 5083 +[fe][ature] -> [feature] 5084 +[ab][ove ] -> [above ] 5085 +[, ][193] -> [, 193] 5086 +[ar][a ] -> [ara ] 5087 +[Kent][uck] -> [Kentuck] 5088 +[200][3 ] -> [2003 ] 5089 +[ bgcolor=#E9E9E9\u000a| 1][0] -> [ bgcolor=#E9E9E9\u000a| 10] 5090 +[O]['] -> [O'] 5091 +[l][ist of ] -> [list of ] 5092 +[football][er\u000a ] -> [footballer\u000a ] 5093 +[2][2, ] -> [22, ] 5094 +[ S][chool] -> [ School] 5095 +[in][habit] -> [inhabit] 5096 +[we][ight ] -> [weight ] 5097 +[, ][who ] -> [, who ] 5098 +[es\u000a\u000aReferenc][es\u000a\u000a] -> [es\u000a\u000aReferences\u000a\u000a] 5099 +[2][nd ] -> [2nd ] 5100 +[al][though ] -> [although ] 5101 +[op][en ] -> [open ] 5102 +[hal][f ] -> [half ] 5103 +[An][other ] -> [Another ] 5104 +[of ][S] -> [of S] 5105 +[qu][ick] -> [quick] 5106 +[which ][are ] -> [which are ] 5107 +[that ][was ] -> [that was ] 5108 +[p][p] -> [pp] 5109 +[elev][ision] -> [elevision] 5110 +[N][am] -> [Nam] 5111 +[rock][ b] -> [rock b] 5112 +[2][1, ] -> [21, ] 5113 +[abil][ity ] -> [ability ] 5114 +[Tenn][es] -> [Tennes] 5115 +[prac][tic] -> [practic] 5116 +[on][ce ] -> [once ] 5117 +[Te][chn] -> [Techn] 5118 +[sh][oot] -> [shoot] 5119 +[te][en ] -> [teen ] 5120 +[) ][is ] -> [) is ] 5121 +[co][ach ] -> [coach ] 5122 +[in ][his ] -> [in his ] 5123 +[�][�] -> [É] 5124 +[t]['s ] -> [t's ] 5125 +[M][as] -> [Mas] 5126 +[w][ide ] -> [wide ] 5127 +[H][ear] -> [Hear] 5128 +[Le][e ] -> [Lee ] 5129 +[n][eg] -> [neg] 5130 +[u][ch] -> [uch] 5131 +[ers ][were ] -> [ers were ] 5132 +[American movie ][actors\u000aAmerican ] -> [American movie actors\u000aAmerican ] 5133 +[television ][series\u000a] -> [television series\u000a] 5134 +[A][sh] -> [Ash] 5135 +[becom][es ] -> [becomes ] 5136 +[a sm][all ] -> [a small ] 5137 +[sport][s ] -> [sports ] 5138 +[arti][st ] -> [artist ] 5139 +[\u000a ][J] -> [\u000a J] 5140 +[in][es] -> [ines] 5141 +[194][9] -> [1949] 5142 +[;][ b] -> [; b] 5143 +[archit][ect] -> [architect] 5144 +[sc][rip] -> [scrip] 5145 +[starr][ing ] -> [starring ] 5146 +[build][ing ] -> [building ] 5147 +[V][ide] -> [Vide] 5148 +[it][, ] -> [it, ] 5149 +[O][tt] -> [Ott] 5150 +[Pr][ince ] -> [Prince ] 5151 +[An][c] -> [Anc] 5152 +[United Stat][es, ] -> [United States, ] 5153 +[T][-] -> [T-] 5154 +[to ][have ] -> [to have ] 5155 +[qu][es] -> [ques] 5156 +[ia ][in ] -> [ia in ] 5157 +[relig][ious ] -> [religious ] 5158 +[Prem][ier ] -> [Premier ] 5159 +[I][f ] -> [If ] 5160 +[d][raw] -> [draw] 5161 +[Nor][th] -> [North] 5162 +[m][et ] -> [met ] 5163 +[. He ][played ] -> [. He played ] 5164 +[diff][ic] -> [diffic] 5165 +[our][g] -> [ourg] 5166 +[M][iddle ] -> [Middle ] 5167 +[A][li] -> [Ali] 5168 +[Mus][ical ] -> [Musical ] 5169 +[E][th] -> [Eth] 5170 +[is ][about ] -> [is about ] 5171 +[Pac][ific ] -> [Pacific ] 5172 +[ti][st] -> [tist] 5173 +[ob][il] -> [obil] 5174 +[\u000a|-][\u000a| ] -> [\u000a|-\u000a| ] 5175 +[Minist][er of ] -> [Minister of ] 5176 +[miss][ion ] -> [mission ] 5177 +[ ][ ] -> [ ] 5178 +[195][4] -> [1954] 5179 +[s][em] -> [sem] 5180 +[195][5] -> [1955] 5181 +[m][ol] -> [mol] 5182 +[as][e ] -> [ase ] 5183 +[t][el] -> [tel] 5184 +[Bl][u] -> [Blu] 5185 +[I][d] -> [Id] 5186 +[cel][ebr] -> [celebr] 5187 +[T][ak] -> [Tak] 5188 +[f][ace ] -> [face ] 5189 +[gir][l] -> [girl] 5190 +[c][ulture] -> [culture] 5191 +[produc][tion ] -> [production ] 5192 +[s][ettl] -> [settl] 5193 +[in the ][United States] -> [in the United States] 5194 +[the][or] -> [theor] 5195 +[progr][amm] -> [programm] 5196 +[ed ][him ] -> [ed him ] 5197 +[w][all] -> [wall] 5198 +[�][�] -> [�] 5199 +[out ][the ] -> [out the ] 5200 +[Vill][ag] -> [Villag] 5201 +[194][8] -> [1948] 5202 +[ti][ ] -> [ti ] 5203 +[r][d ] -> [rd ] 5204 +[ri][bu] -> [ribu] 5205 +[Te][am ] -> [Team ] 5206 +[ass][ist] -> [assist] 5207 +[Europe][\u000a] -> [Europe\u000a] 5208 +[tr][ad] -> [trad] 5209 +[C][ity, ] -> [City, ] 5210 +[ kn][own ] -> [ known ] 5211 +[erb][aij] -> [erbaij] 5212 +[M][ain] -> [Main] 5213 +[Gl][ob] -> [Glob] 5214 +[ec][tive ] -> [ective ] 5215 +[occ][up] -> [occup] 5216 +[ent][, ] -> [ent, ] 5217 +[K][ur] -> [Kur] 5218 +[ber][g ] -> [berg ] 5219 +[199][8 ] -> [1998 ] 5220 +[Mar][y] -> [Mary] 5221 +[tradi][tional ] -> [traditional ] 5222 +[9][2] -> [92] 5223 +[S][ettlements in ] -> [Settlements in ] 5224 +[an][\u000a] -> [an\u000a] 5225 +[tr][ack] -> [track] 5226 +[es][\u000a \u000a ] -> [es\u000a \u000a ] 5227 +[we][ap] -> [weap] 5228 +[build][ing] -> [building] 5229 +[for][mer] -> [former] 5230 +[os][h] -> [osh] 5231 +[UE][FA ] -> [UEFA ] 5232 +[actres][s\u000a ] -> [actress\u000a ] 5233 +[L][em] -> [Lem] 5234 +[�][�] -> [²] 5235 +[Gre][en] -> [Green] 5236 +[progr][am ] -> [program ] 5237 +[a p][erson ] -> [a person ] 5238 +[||1][2] -> [||12] 5239 +[adel][ph] -> [adelph] 5240 +[for][t] -> [fort] 5241 +[T][o ] -> [To ] 5242 +[d][ic] -> [dic] 5243 +[includ][ed ] -> [included ] 5244 +[m][ary ] -> [mary ] 5245 +[roman][tic ] -> [romantic ] 5246 +[s][af] -> [saf] 5247 +[Sci][enc] -> [Scienc] 5248 +[ke][ep] -> [keep] 5249 +[50][0 ] -> [500 ] 5250 +[cre][ate ] -> [create ] 5251 +[th][ir] -> [thir] 5252 +[row][ ] -> [row ] 5253 +[a ][as ] -> [a as ] 5254 +[ett][e ] -> [ette ] 5255 +[C][D] -> [CD] 5256 +[R][og] -> [Rog] 5257 +[ian][s\u000a] -> [ians\u000a] 5258 +[Az][erbaij] -> [Azerbaij] 5259 +[ric][k ] -> [rick ] 5260 +[j][ob] -> [job] 5261 +[2019][, ] -> [2019, ] 5262 +[Th][ese ] -> [These ] 5263 +[Tex][as ] -> [Texas ] 5264 +[\u000a ][G] -> [\u000a G] 5265 +[ath][let] -> [athlet] 5266 +[ag][on] -> [agon] 5267 +[. Th][at ] -> [. That ] 5268 +[Alexand][er ] -> [Alexander ] 5269 +[el][li] -> [elli] 5270 +[Canad][a] -> [Canada] 5271 +[univers][ity ] -> [university ] 5272 +[Phil][adelph] -> [Philadelph] 5273 +[hum][an] -> [human] 5274 +[ian][, ] -> [ian, ] 5275 +[politician ][and ] -> [politician and ] 5276 +[Argent][ine ] -> [Argentine ] 5277 +[amp][ion ] -> [ampion ] 5278 +[O][per] -> [Oper] 5279 +[a ][D] -> [a D] 5280 +[actor][, ] -> [actor, ] 5281 +[ch][ampion] -> [champion] 5282 +[g][e ] -> [ge ] 5283 +[English][-language ] -> [English-language ] 5284 +[ens][e ] -> [ense ] 5285 +[Sou][thern ] -> [Southern ] 5286 +[l][ot] -> [lot] 5287 +[ers][.\u000a\u000a] -> [ers.\u000a\u000a] 5288 +[R][ ] -> [R ] 5289 +[w][.] -> [w.] 5290 +[\u000a\u000aReferences\u000a\u000aOther websit][es\u000a ] -> [\u000a\u000aReferences\u000a\u000aOther websites\u000a ] 5291 +[1][-] -> [1-] 5292 +[Miss][issipp] -> [Mississipp] 5293 +[pro][mot] -> [promot] 5294 +[C][art] -> [Cart] 5295 +[re][s ] -> [res ] 5296 +[on][e] -> [one] 5297 +[ear][th] -> [earth] 5298 +[M][ary ] -> [Mary ] 5299 +[id][ing ] -> [iding ] 5300 +[s][aw ] -> [saw ] 5301 +[T][ai] -> [Tai] 5302 +[kill][ed ] -> [killed ] 5303 +["][S] -> ["S] 5304 +[W][all] -> [Wall] 5305 +[id][enc] -> [idenc] 5306 +[Provinc][e of ] -> [Province of ] 5307 +[t][a] -> [ta] 5308 +[emb][ly ] -> [embly ] 5309 +[enn][is ] -> [ennis ] 5310 +[o][o ] -> [oo ] 5311 +[b][y] -> [by] 5312 +[ke][ep ] -> [keep ] 5313 +[ment][al ] -> [mental ] 5314 +[peri][od ] -> [period ] 5315 +[\u000a\u000a][In ] -> [\u000a\u000aIn ] 5316 +[B][oy] -> [Boy] 5317 +[appear][anc] -> [appearanc] 5318 +[p][il] -> [pil] 5319 +[er ][was ] -> [er was ] 5320 +[Mar][io ] -> [Mario ] 5321 +[st][opp] -> [stopp] 5322 +[1 ][ ] -> [1 ] 5323 +[s][ell] -> [sell] 5324 +[K][ ] -> [K ] 5325 +[chur][ch ] -> [church ] 5326 +[F][ro] -> [Fro] 5327 +[j][udg] -> [judg] 5328 +[u][x] -> [ux] 5329 +[w][a] -> [wa] 5330 +[om][e of ] -> [ome of ] 5331 +[kn][ow ] -> [know ] 5332 +[cri][min] -> [crimin] 5333 +[liv][e in ] -> [live in ] 5334 +[N][atur] -> [Natur] 5335 +[want][ed to ] -> [wanted to ] 5336 +[201][0s ] -> [2010s ] 5337 +[at ][least ] -> [at least ] 5338 +[Prof][ess] -> [Profess] 5339 +[er ][is ] -> [er is ] 5340 +[mov][ement] -> [movement] 5341 +[commun][ity ] -> [community ] 5342 +[fail][ure] -> [failure] 5343 +["][.\u000a\u000a] -> [".\u000a\u000a] 5344 +[is a town ][in ] -> [is a town in ] 5345 +[O][l] -> [Ol] 5346 +[g][a] -> [ga] 5347 +[199][2 ] -> [1992 ] 5348 +[ad][, ] -> [ad, ] 5349 +[A][C] -> [AC] 5350 +[ex][peri] -> [experi] 5351 +[ed ][for the ] -> [ed for the ] 5352 +[ed ][with the ] -> [ed with the ] 5353 +[Portug][u] -> [Portugu] 5354 +[th][ous] -> [thous] 5355 +[s ][\u000a ] -> [s \u000a ] 5356 +[. It ][stars ] -> [. It stars ] 5357 +[N][intend] -> [Nintend] 5358 +[, 2000 || Socorro || LINEAR || — || align=right | ][3.] -> [, 2000 || Socorro || LINEAR || — || align=right | 3.] 5359 +[e][ed] -> [eed] 5360 +[li][fe] -> [life] 5361 +[R][u] -> [Ru] 5362 +[named ][after ] -> [named after ] 5363 +[k][il] -> [kil] 5364 +[produc][ed by ] -> [produced by ] 5365 +[UK][ ] -> [UK ] 5366 +[a ][T] -> [a T] 5367 +[m][el] -> [mel] 5368 +[A][h] -> [Ah] 5369 +[B][ook] -> [Book] 5370 +[some][thing ] -> [something ] 5371 +[t][s] -> [ts] 5372 +[hous][e ] -> [house ] 5373 +[res][earch ] -> [research ] 5374 +[. ][They ] -> [. They ] 5375 +[inc][or] -> [incor] 5376 +[pr][int] -> [print] 5377 +[ac][y ] -> [acy ] 5378 +[ar][, ] -> [ar, ] 5379 +[aly][mp] -> [alymp] 5380 +[F][estiv] -> [Festiv] 5381 +[a, ][the ] -> [a, the ] 5382 +[l][ay] -> [lay] 5383 +[194][6] -> [1946] 5384 +[an][j] -> [anj] 5385 +[Russ][ia] -> [Russia] 5386 +[ww][w.] -> [www.] 5387 +[au][ ] -> [au ] 5388 +[St][ation ] -> [Station ] 5389 +[ü][r] -> [ür] 5390 +[influ][enc] -> [influenc] 5391 +[l][ittle ] -> [little ] 5392 +[op][pos] -> [oppos] 5393 +[), ][the ] -> [), the ] 5394 +[ec][tr] -> [ectr] 5395 +[t][ree ] -> [tree ] 5396 +[when ][he ] -> [when he ] 5397 +[Music][ians from ] -> [Musicians from ] 5398 +[fir][st] -> [first] 5399 +[a][id] -> [aid] 5400 +[dr][um] -> [drum] 5401 +[, 199][6] -> [, 1996] 5402 +[par][ent] -> [parent] 5403 +[bo][x] -> [box] 5404 +[B][ol] -> [Bol] 5405 +[eh][ic] -> [ehic] 5406 +[z][z] -> [zz] 5407 +[C][y] -> [Cy] 5408 +[right][s ] -> [rights ] 5409 +[problem][s ] -> [problems ] 5410 +[en][k] -> [enk] 5411 +[or][e, ] -> [ore, ] 5412 +[Par][alymp] -> [Paralymp] 5413 +[Comp][an] -> [Compan] 5414 +[C][orn] -> [Corn] 5415 +[S][and] -> [Sand] 5416 +[I][V] -> [IV] 5417 +[po][et ] -> [poet ] 5418 +[sid][e the ] -> [side the ] 5419 +[Wind][ows ] -> [Windows ] 5420 +[th][es] -> [thes] 5421 +[K][ir] -> [Kir] 5422 +[% ][of the ] -> [% of the ] 5423 +[Gre][en ] -> [Green ] 5424 +[la][unch] -> [launch] 5425 +[sk][i] -> [ski] 5426 +[ed ][from the ] -> [ed from the ] 5427 +[L][GBT ] -> [LGBT ] 5428 +[r][ace ] -> [race ] 5429 +[song][ by ] -> [song by ] 5430 +[ad][o ] -> [ado ] 5431 +[res][ul] -> [resul] 5432 +[eff][ect] -> [effect] 5433 +[of ][his ] -> [of his ] 5434 +[e][. He ] -> [e. He ] 5435 +[offic][ially ] -> [officially ] 5436 +[e][)\u000a ] -> [e)\u000a ] 5437 +[ó][n ] -> [ón ] 5438 +[inhabit][ant] -> [inhabitant] 5439 +[G][od ] -> [God ] 5440 +[B][und] -> [Bund] 5441 +[enti][al ] -> [ential ] 5442 +[Israel][i ] -> [Israeli ] 5443 +[c][ertain ] -> [certain ] 5444 +[Ch][ampion] -> [Champion] 5445 +[back ][to ] -> [back to ] 5446 +[195][3] -> [1953] 5447 +[Norw][eg] -> [Norweg] 5448 +[ches][tr] -> [chestr] 5449 +[ard][s ] -> [ards ] 5450 +[ || La Silla || ][E. W. Elst ] -> [ || La Silla || E. W. Elst ] 5451 +[day][s ] -> [days ] 5452 +[oc][cur] -> [occur] 5453 +[ref][err] -> [referr] 5454 +[Gre][ec] -> [Greec] 5455 +[em][per] -> [emper] 5456 +[ar][ies ] -> [aries ] 5457 +[ak][h] -> [akh] 5458 +[ed][d] -> [edd] 5459 +[ ][ ] -> [ ] 5460 +[end][er ] -> [ender ] 5461 +[group][s ] -> [groups ] 5462 +[div][ision] -> [division] 5463 +[Ser][b] -> [Serb] 5464 +[Chur][ch] -> [Church] 5465 +[N][o ] -> [No ] 5466 +[pl][ant ] -> [plant ] 5467 +[Ire][land] -> [Ireland] 5468 +[Kans][as] -> [Kansas] 5469 +[Govern][or] -> [Governor] 5470 +[Nig][er] -> [Niger] 5471 +[New York City][\u000a] -> [New York City\u000a] 5472 +[Comm][itte] -> [Committe] 5473 +[200][0s ] -> [2000s ] 5474 +[S][el] -> [Sel] 5475 +[i][ograph] -> [iograph] 5476 +[r][or ] -> [ror ] 5477 +[e][at ] -> [eat ] 5478 +[the][ir] -> [their] 5479 +[o][id ] -> [oid ] 5480 +[Dis][c] -> [Disc] 5481 +[m][ic] -> [mic] 5482 +[ett][ing ] -> [etting ] 5483 +[f][ish ] -> [fish ] 5484 +[serv][ice ] -> [service ] 5485 +[low][er ] -> [lower ] 5486 +[Wh][ile ] -> [While ] 5487 +[\u000a ][\u000a\u000a] -> [\u000a \u000a\u000a] 5488 +[at][ed by ] -> [ated by ] 5489 +[am][a] -> [ama] 5490 +[S][ir ] -> [Sir ] 5491 +[form ][of ] -> [form of ] 5492 +[F][ur] -> [Fur] 5493 +[199][0 ] -> [1990 ] 5494 +[In][depend] -> [Independ] 5495 +[S][pe] -> [Spe] 5496 +[H][om] -> [Hom] 5497 +[j][az] -> [jaz] 5498 +[od][y ] -> [ody ] 5499 +[re][al] -> [real] 5500 +[b][ank] -> [bank] 5501 +[l][l] -> [ll] 5502 +[W][ik] -> [Wik] 5503 +[f][all ] -> [fall ] 5504 +[ist ][(b. ] -> [ist (b. ] 5505 +[S][aint ] -> [Saint ] 5506 +[s][. S] -> [s. S] 5507 +[North ][Americ] -> [North Americ] 5508 +[kill][ing ] -> [killing ] 5509 +[g][un] -> [gun] 5510 +[energ][y ] -> [energy ] 5511 +[ar][rest] -> [arrest] 5512 +[conn][ect] -> [connect] 5513 +[N][ep] -> [Nep] 5514 +[some][one ] -> [someone ] 5515 +[cl][oth] -> [cloth] 5516 +[a ][new ] -> [a new ] 5517 +[an]['s ] -> [an's ] 5518 +[winn][ers\u000a] -> [winners\u000a] 5519 +[min][ut] -> [minut] 5520 +[Col][or] -> [Color] 5521 +[�][�] -> [ú] 5522 +[N][ation] -> [Nation] 5523 +[includ][ing the ] -> [including the ] 5524 +[COVID-][19 ] -> [COVID-19 ] 5525 +[. ][V] -> [. V] 5526 +[M][ic] -> [Mic] 5527 +[stor][m ] -> [storm ] 5528 +[er][e] -> [ere] 5529 +[Lib][r] -> [Libr] 5530 +[B][at] -> [Bat] 5531 +[er][\u000a\u000a] -> [er\u000a\u000a] 5532 +[An][th] -> [Anth] 5533 +[deg][re] -> [degre] 5534 +[v][on ] -> [von ] 5535 +[M][ir] -> [Mir] 5536 +[iv][il] -> [ivil] 5537 +[gam][es ] -> [games ] 5538 +[Club ][career statistics\u000a\u000a|-\u000a|] -> [Club career statistics\u000a\u000a|-\u000a|] 5539 +[i][ro] -> [iro] 5540 +[II][ ] -> [II ] 5541 +[b][ass] -> [bass] 5542 +[Sci][entist] -> [Scientist] 5543 +[inter][est] -> [interest] 5544 +[B][ay] -> [Bay] 5545 +[4][2] -> [42] 5546 +[f][ight ] -> [fight ] 5547 +[U][s] -> [Us] 5548 +[K][en] -> [Ken] 5549 +[dec][lar] -> [declar] 5550 +[R][A] -> [RA] 5551 +[F][eder] -> [Feder] 5552 +[or ]["] -> [or "] 5553 +[Mar][ia ] -> [Maria ] 5554 +[R][ock ] -> [Rock ] 5555 +[L][e ] -> [Le ] 5556 +[b][rought ] -> [brought ] 5557 +[sci][enc] -> [scienc] 5558 +[G][ard] -> [Gard] 5559 +[o][id] -> [oid] 5560 +[k][ey ] -> [key ] 5561 +[196][1] -> [1961] 5562 +[is][tic] -> [istic] 5563 +[am][oun] -> [amoun] 5564 +[.\u000a\u000aReferences\u000a\u000a][192] -> [.\u000a\u000aReferences\u000a\u000a192] 5565 +[\u000a][P] -> [\u000aP] 5566 +[ob][ject] -> [object] 5567 +[. This ][was ] -> [. This was ] 5568 +[Govern][ment ] -> [Government ] 5569 +[w][ea] -> [wea] 5570 +[S][ax] -> [Sax] 5571 +[L][y] -> [Ly] 5572 +[Ark][ans] -> [Arkans] 5573 +[end][ing ] -> [ending ] 5574 +[202][1, ] -> [2021, ] 5575 +[South ][Afric] -> [South Afric] 5576 +[work][s ] -> [works ] 5577 +[kin][d of ] -> [kind of ] 5578 +[k][h] -> [kh] 5579 +[television ][actors\u000aAmerican ] -> [television actors\u000aAmerican ] 5580 +[off][ice ] -> [office ] 5581 +[l][ist ] -> [list ] 5582 +[H][ow] -> [How] 5583 +[199][4 ] -> [1994 ] 5584 +[politician][s] -> [politicians] 5585 +[adv][ent] -> [advent] 5586 +[e ][from ] -> [e from ] 5587 +[Gall][er] -> [Galler] 5588 +[ric][ket] -> [ricket] 5589 +[Vi][enn] -> [Vienn] 5590 +[195][2] -> [1952] 5591 +[b][ig ] -> [big ] 5592 +[s][ound ] -> [sound ] 5593 +[pl][om] -> [plom] 5594 +[p][un] -> [pun] 5595 +[is an ][American ] -> [is an American ] 5596 +[R][em] -> [Rem] 5597 +[ol][f ] -> [olf ] 5598 +[Pri][ze ] -> [Prize ] 5599 +[al ][(] -> [al (] 5600 +[Ch][ann] -> [Chann] 5601 +[ne][igh] -> [neigh] 5602 +[liv][es in ] -> [lives in ] 5603 +[W][ith ] -> [With ] 5604 +[Austral][ia ] -> [Australia ] 5605 +[im][m] -> [imm] 5606 +[ch][air] -> [chair] 5607 +[my][th] -> [myth] 5608 +[um][on] -> [umon] 5609 +[h][ur] -> [hur] 5610 +[Cl][ub] -> [Club] 5611 +[f][ar ] -> [far ] 5612 +[Oc][ean] -> [Ocean] 5613 +[es][h ] -> [esh ] 5614 +[Bro][ok] -> [Brook] 5615 +[ || Kitt Peak || Spacewatch][ || — || align=right | 1.] -> [ || Kitt Peak || Spacewatch || — || align=right | 1.] 5616 +[im][ag] -> [imag] 5617 +[Chr][is ] -> [Chris ] 5618 +[, 199][5] -> [, 1995] 5619 +[W][inn] -> [Winn] 5620 +[Eliz][abeth ] -> [Elizabeth ] 5621 +[Cl][ass] -> [Class] 5622 +[Wis][cons] -> [Wiscons] 5623 +[l][ak] -> [lak] 5624 +[mus][e] -> [muse] 5625 +[creat][ed in ] -> [created in ] 5626 +[Don][ald ] -> [Donald ] 5627 +[ut][en] -> [uten] 5628 +[o][th ] -> [oth ] 5629 +[until ][his ] -> [until his ] 5630 +[style][="] -> [style="] 5631 +[194][4] -> [1944] 5632 +[S][un] -> [Sun] 5633 +[Bang][lad] -> [Banglad] 5634 +[was releas][ed on ] -> [was released on ] 5635 +[such ][as the ] -> [such as the ] 5636 +[bigg][est ] -> [biggest ] 5637 +[D][uk] -> [Duk] 5638 +[H][ot ] -> [Hot ] 5639 +[, ][with ] -> [, with ] 5640 +[comp][ound] -> [compound] 5641 +[along ][with ] -> [along with ] 5642 +[sh][ot ] -> [shot ] 5643 +[p][ot] -> [pot] 5644 +[er][. She ] -> [er. She ] 5645 +[k][s] -> [ks] 5646 +[erson][al ] -> [ersonal ] 5647 +[ul][f] -> [ulf] 5648 +[stud][ent] -> [student] 5649 +[World ][Cup] -> [World Cup] 5650 +[and ][a ] -> [and a ] 5651 +[te][en] -> [teen] 5652 +[or][c] -> [orc] 5653 +[fir][m] -> [firm] 5654 +[Living ][people] -> [Living people] 5655 +[P][ap] -> [Pap] 5656 +[ord][er ] -> [order ] 5657 +[read][y ] -> [ready ] 5658 +[Anc][ient ] -> [Ancient ] 5659 +[val][u] -> [valu] 5660 +[The ][L] -> [The L] 5661 +[al][i] -> [ali] 5662 +[As][ia\u000a] -> [Asia\u000a] 5663 +[P][en] -> [Pen] 5664 +[series ][of ] -> [series of ] 5665 +[D][ou] -> [Dou] 5666 +[pl][ann] -> [plann] 5667 +[ag][o] -> [ago] 5668 +[Web][sit] -> [Websit] 5669 +[%][ of ] -> [% of ] 5670 +[deaths\u000a][American ] -> [deaths\u000aAmerican ] 5671 +[199][0s ] -> [1990s ] 5672 +[Associ][ation ] -> [Association ] 5673 +[into ][a ] -> [into a ] 5674 +[tr][y] -> [try] 5675 +[.\u000a\u000aReferences\u000a\u000aOther websit][es \u000a ] -> [.\u000a\u000aReferences\u000a\u000aOther websites \u000a ] 5676 +[United States.\u000a\u000a][Cities in ] -> [United States.\u000a\u000aCities in ] 5677 +[philos][oph] -> [philosoph] 5678 +[Pas][-de-] -> [Pas-de-] 5679 +[gre][w ] -> [grew ] 5680 +[F][A] -> [FA] 5681 +[r][am] -> [ram] 5682 +[Kor][ea] -> [Korea] 5683 +[bab][ly ] -> [bably ] 5684 +[ed][. ] -> [ed. ] 5685 +[r][up] -> [rup] 5686 +[qu][e] -> [que] 5687 +[k][ind] -> [kind] 5688 +[199][5 ] -> [1995 ] 5689 +[comm][and] -> [command] 5690 +[Af][g] -> [Afg] 5691 +[El][ectr] -> [Electr] 5692 +[Mos][c] -> [Mosc] 5693 +[say][s that ] -> [says that ] 5694 +[T][el] -> [Tel] 5695 +[h][ot] -> [hot] 5696 +[seat][s in ] -> [seats in ] 5697 +[t][om] -> [tom] 5698 +[Tr][ack ] -> [Track ] 5699 +[part][s of ] -> [parts of ] 5700 +[4]["|] -> [4"|] 5701 +[B][ob] -> [Bob] 5702 +[s][ugg] -> [sugg] 5703 +[Pas-de-][Cal] -> [Pas-de-Cal] 5704 +[en][em] -> [enem] 5705 +[N][ord] -> [Nord] 5706 +[N][ag] -> [Nag] 5707 +[Fr][an] -> [Fran] 5708 +[leg][isl] -> [legisl] 5709 +[B][ill ] -> [Bill ] 5710 +[New York ][(state] -> [New York (state] 5711 +[Mar][i] -> [Mari] 5712 +[O][ut] -> [Out] 5713 +[ || || — || ][June ] -> [ || || — || June ] 5714 +[N][a] -> [Na] 5715 +[until ][the ] -> [until the ] 5716 +[sing][er and ] -> [singer and ] 5717 +[m][as] -> [mas] 5718 +[ed in ][a ] -> [ed in a ] 5719 +[He][av] -> [Heav] 5720 +[O][liv] -> [Oliv] 5721 +[is][on] -> [ison] 5722 +[who ][was ] -> [who was ] 5723 +[Pop][e ] -> [Pope ] 5724 +[For][c] -> [Forc] 5725 +[ell][ow] -> [ellow] 5726 +[their ][own ] -> [their own ] 5727 +[med][ical ] -> [medical ] 5728 +[Indi][a ] -> [India ] 5729 +[so][on ] -> [soon ] 5730 +[bl][ood ] -> [blood ] 5731 +[16][0] -> [160] 5732 +[Pl][at] -> [Plat] 5733 +[movi][es ] -> [movies ] 5734 +[A][re] -> [Are] 5735 +[Col][omb] -> [Colomb] 5736 +[hal][f] -> [half] 5737 +[.][ ] -> [. ] 5738 +[for][est] -> [forest] 5739 +[199][1 ] -> [1991 ] 5740 +[ births\u000a][2021 ] -> [ births\u000a2021 ] 5741 +[play][er\u000a ] -> [player\u000a ] 5742 +[me][et] -> [meet] 5743 +[. ][In ] -> [. In ] 5744 +[; b][orn ] -> [; born ] 5745 +[inj][ur] -> [injur] 5746 +[||rowspan="][4"|] -> [||rowspan="4"|] 5747 +[h][ind ] -> [hind ] 5748 +[F][e] -> [Fe] 5749 +[p][and] -> [pand] 5750 +[acc][ord] -> [accord] 5751 +[cr][ash] -> [crash] 5752 +[multi][ple ] -> [multiple ] 5753 +[mount][ain] -> [mountain] 5754 +[R][od] -> [Rod] 5755 +[nov][el ] -> [novel ] 5756 +[History ][of ] -> [History of ] 5757 +[.\u000a\u000aReferences \u000a\u000a][Communes in ] -> [.\u000a\u000aReferences \u000a\u000aCommunes in ] 5758 +[S][ome ] -> [Some ] 5759 +[play][ers ] -> [players ] 5760 +[amoun][t of ] -> [amount of ] 5761 +[a][: ] -> [a: ] 5762 +[f][ut] -> [fut] 5763 +[a ][H] -> [a H] 5764 +[Reg][ion] -> [Region] 5765 +[b][le ] -> [ble ] 5766 +[4][0 ] -> [40 ] 5767 +[y\u000a][The ] -> [y\u000aThe ] 5768 +[Part][y] -> [Party] 5769 +[died ][of ] -> [died of ] 5770 +[th centur][y] -> [th century] 5771 +[n][ess ] -> [ness ] 5772 +[com][par] -> [compar] 5773 +[as][p] -> [asp] 5774 +[a m][ember ] -> [a member ] 5775 +[a (][born ] -> [a (born ] 5776 +[ed ][her ] -> [ed her ] 5777 +[17][0] -> [170] 5778 +[L][ak] -> [Lak] 5779 +[n][ess] -> [ness] 5780 +[ic][s\u000a] -> [ics\u000a] 5781 +[f][ast] -> [fast] 5782 +[us ][(] -> [us (] 5783 +[caus][e ] -> [cause ] 5784 +[v][ey ] -> [vey ] 5785 +[m][ale ] -> [male ] 5786 +[Christi][an] -> [Christian] 5787 +[es ][or ] -> [es or ] 5788 +[s][burg] -> [sburg] 5789 +[com][merc] -> [commerc] 5790 +[him][self ] -> [himself ] 5791 +[San ][Francis] -> [San Francis] 5792 +[arm][y ] -> [army ] 5793 +[Tw][o ] -> [Two ] 5794 +[eb][ec] -> [ebec] 5795 +[there ][is ] -> [there is ] 5796 +[F][ound] -> [Found] 5797 +[le][y, ] -> [ley, ] 5798 +[K][at] -> [Kat] 5799 +[.\u000a ][The ] -> [.\u000a The ] 5800 +[k][ill ] -> [kill ] 5801 +[S][av] -> [Sav] 5802 +[s][ince the ] -> [since the ] 5803 +[\u000a][!] -> [\u000a!] 5804 +[."][\u000a\u000a] -> [."\u000a\u000a] 5805 +[ || ][N] -> [ || N] 5806 +[1 ][January ] -> [1 January ] 5807 +[. A][c] -> [. Ac] 5808 +[mount][ain ] -> [mountain ] 5809 +[, ][it ] -> [, it ] 5810 +[memb][ers of the ] -> [members of the ] 5811 +[er ][from ] -> [er from ] 5812 +[sh][r] -> [shr] 5813 +[W][ay] -> [Way] 5814 +[F][ederal ] -> [Federal ] 5815 +[K][al] -> [Kal] 5816 +[mad][e of ] -> [made of ] 5817 +[er][a ] -> [era ] 5818 +[bas][ed ] -> [based ] 5819 +[9][1] -> [91] 5820 +[sof][tw] -> [softw] 5821 +[ti][sh] -> [tish] 5822 +[Aug][ust] -> [August] 5823 +[i][pl] -> [ipl] 5824 +[writ][er and ] -> [writer and ] 5825 +[Stre][et ] -> [Street ] 5826 +[f][le] -> [fle] 5827 +[mov][e ] -> [move ] 5828 +[||1][4] -> [||14] 5829 +[H][ug] -> [Hug] 5830 +[or ][to ] -> [or to ] 5831 +[year][s, ] -> [years, ] 5832 +[Com][mon] -> [Common] 5833 +[in ][and ] -> [in and ] 5834 +[Championship][ ] -> [Championship ] 5835 +[Con][nec] -> [Connec] 5836 +[go][es ] -> [goes ] 5837 +[||1][3] -> [||13] 5838 +[is a ][county ] -> [is a county ] 5839 +[ist][s] -> [ists] 5840 +[B][udd] -> [Budd] 5841 +[N][ik] -> [Nik] 5842 +[High][ School] -> [High School] 5843 +[ord][in] -> [ordin] 5844 +[Mar][c] -> [Marc] 5845 +[as ][of ] -> [as of ] 5846 +[G][ri] -> [Gri] 5847 +[Win][ter ] -> [Winter ] 5848 +[Youn][g ] -> [Young ] 5849 +[erenc][e ] -> [erence ] 5850 +[G][reg] -> [Greg] 5851 +[Islam][ic ] -> [Islamic ] 5852 +[countr][y] -> [country] 5853 +[fl][o] -> [flo] 5854 +[bir][th] -> [birth] 5855 +[citi][zen] -> [citizen] 5856 +[Sy][stem] -> [System] 5857 +[fr][u] -> [fru] 5858 +[actor ][and ] -> [actor and ] 5859 +[pro][bably ] -> [probably ] 5860 +[T][a] -> [Ta] 5861 +[Norweg][ian ] -> [Norwegian ] 5862 +[198][0 ] -> [1980 ] 5863 +[Con][serv] -> [Conserv] 5864 +[.\u000a\u000aH][istory ] -> [.\u000a\u000aHistory ] 5865 +[g][ets ] -> [gets ] 5866 +[J][ustic] -> [Justic] 5867 +[b][omb] -> [bomb] 5868 +[Me][di] -> [Medi] 5869 +[S][ub] -> [Sub] 5870 +[, 199][3] -> [, 1993] 5871 +[Distric][t ] -> [District ] 5872 +[re][duc] -> [reduc] 5873 +[Sen][ate ] -> [Senate ] 5874 +[in the ][United Kingdom] -> [in the United Kingdom] 5875 +[could ][be ] -> [could be ] 5876 +[M][id] -> [Mid] 5877 +[s][ent] -> [sent] 5878 +[ed ][into the ] -> [ed into the ] 5879 +[b][on ] -> [bon ] 5880 +[. A][s ] -> [. As ] 5881 +[�][�] -> [а] 5882 +[Fren][ch] -> [French] 5883 +[h][u] -> [hu] 5884 +[all][ow ] -> [allow ] 5885 +[was ][first ] -> [was first ] 5886 +[pass][eng] -> [passeng] 5887 +[indu][str] -> [industr] 5888 +[es][tig] -> [estig] 5889 +[er, ][the ] -> [er, the ] 5890 +[ter][ritor] -> [territor] 5891 +[l][ing ] -> [ling ] 5892 +[er][m] -> [erm] 5893 +[X][ ] -> [X ] 5894 +[he ][had ] -> [he had ] 5895 +[establish][ed in ] -> [established in ] 5896 +[fa][ther] -> [father] 5897 +[199][7 ] -> [1997 ] 5898 +[oth][ers ] -> [others ] 5899 +[v][ehic] -> [vehic] 5900 +[" ][in ] -> [" in ] 5901 +[ic][a ] -> [ica ] 5902 +[J][ud] -> [Jud] 5903 +[doc][ument] -> [document] 5904 +[tion ][to ] -> [tion to ] 5905 +[D][ak] -> [Dak] 5906 +[empl][oy] -> [employ] 5907 +[id][a] -> [ida] 5908 +[Los Angel][es ] -> [Los Angeles ] 5909 +[202][3] -> [2023] 5910 +[.\u000a\u000aIn ][the ] -> [.\u000a\u000aIn the ] 5911 +[th][is] -> [this] 5912 +[reg][ular ] -> [regular ] 5913 +[st][one ] -> [stone ] 5914 +[, ][192] -> [, 192] 5915 +[b][at] -> [bat] 5916 +[n][av] -> [nav] 5917 +[WW][E ] -> [WWE ] 5918 +[F][inn] -> [Finn] 5919 +[stud][y ] -> [study ] 5920 +[il][ly ] -> [illy ] 5921 +[17][8] -> [178] 5922 +[we][al] -> [weal] 5923 +[qu][es ] -> [ques ] 5924 +[video ][game ] -> [video game ] 5925 +[incor][por] -> [incorpor] 5926 +[194][3] -> [1943] 5927 +[Nintend][o ] -> [Nintendo ] 5928 +[heav][y ] -> [heavy ] 5929 +[becaus][e the ] -> [because the ] 5930 +[join][ed ] -> [joined ] 5931 +[ain][ed ] -> [ained ] 5932 +[ing ][from ] -> [ing from ] 5933 +[Gir][l] -> [Girl] 5934 +[ay][s] -> [ays] 5935 +[m][ing] -> [ming] 5936 +[s ][like ] -> [s like ] 5937 +[A][qu] -> [Aqu] 5938 +[an][o] -> [ano] 5939 +[um][ent ] -> [ument ] 5940 +[n][u] -> [nu] 5941 +[ory ][of ] -> [ory of ] 5942 +[T][od] -> [Tod] 5943 +[Le][ad] -> [Lead] 5944 +[M][an ] -> [Man ] 5945 +[\u000a][D] -> [\u000aD] 5946 +[Or][igin] -> [Origin] 5947 +[has ][also ] -> [has also ] 5948 +[Municipal][ities in ] -> [Municipalities in ] 5949 +[.\u000a\u000aReferences\u000a\u000aOther websites\u000a\u000a][ ] -> [.\u000a\u000aReferences\u000a\u000aOther websites\u000a\u000a ] 5950 +[cont][roll] -> [controll] 5951 +[J. League ][1] -> [J. League 1] 5952 +[al][c] -> [alc] 5953 +[R][aj] -> [Raj] 5954 +[es][tim] -> [estim] 5955 +[at][tr] -> [attr] 5956 +[ro][om] -> [room] 5957 +[Cur][r] -> [Curr] 5958 +[ b][eg] -> [ beg] 5959 +[f][ind] -> [find] 5960 +[col][or ] -> [color ] 5961 +[Villag][es in ] -> [Villages in ] 5962 +[M][ill] -> [Mill] 5963 +[In][c] -> [Inc] 5964 +[or][s] -> [ors] 5965 +[me][an ] -> [mean ] 5966 +[C][B] -> [CB] 5967 +[K][am] -> [Kam] 5968 +[ay][ashi] -> [ayashi] 5969 +[194][2] -> [1942] 5970 +[Gramm][y ] -> [Grammy ] 5971 +[e][. In ] -> [e. In ] 5972 +[years ][old] -> [years old] 5973 +[gener][ally ] -> [generally ] 5974 +[G][ ] -> [G ] 5975 +[le][ague ] -> [league ] 5976 +[2010 ][census] -> [2010 census] 5977 +[ed][ic] -> [edic] 5978 +[if][ied ] -> [ified ] 5979 +[tri][ed to ] -> [tried to ] 5980 +[County ][seats in ] -> [County seats in ] 5981 +[e ][is a ] -> [e is a ] 5982 +[ep][p] -> [epp] 5983 +[n][ight ] -> [night ] 5984 +[sur][round] -> [surround] 5985 +[C][el] -> [Cel] 5986 +[Washing][ton, ] -> [Washington, ] 5987 +[Indi][an] -> [Indian] 5988 +[ant][s ] -> [ants ] 5989 +[E][R] -> [ER] 5990 +[avail][able ] -> [available ] 5991 +[join][ed the ] -> [joined the ] 5992 +[s][wim] -> [swim] 5993 +[um][i] -> [umi] 5994 +[ad][ap] -> [adap] 5995 +[et][-] -> [et-] 5996 +[Sp][ain ] -> [Spain ] 5997 +[at][e, ] -> [ate, ] 5998 +[distribut][ed by ] -> [distributed by ] 5999 +[ad][op] -> [adop] 6000 +[ar][riv] -> [arriv] 6001 +[ã][o ] -> [ão ] 6002 +[sc][ulp] -> [sculp] 6003 +[er][to ] -> [erto ] 6004 +[k ][(] -> [k (] 6005 +[am][ed ] -> [amed ] 6006 +[15][0] -> [150] 6007 +[I][ra] -> [Ira] 6008 +[P][ow] -> [Pow] 6009 +[200][ ] -> [200 ] 6010 +[s][low] -> [slow] 6011 +[es ][a ] -> [es a ] 6012 +[b][our] -> [bour] 6013 +[C][ir] -> [Cir] 6014 +[s][pl] -> [spl] 6015 +[start][ed in ] -> [started in ] 6016 +[co][ast] -> [coast] 6017 +[" and ]["] -> [" and "] 6018 +[f][ought ] -> [fought ] 6019 +[Turk][ish ] -> [Turkish ] 6020 +[. A][s of the ] -> [. As of the ] 6021 +[ || ][align=right data-sort-value="0.] -> [ || align=right data-sort-value="0.] 6022 +[. It is ][also ] -> [. It is also ] 6023 +[b][ ] -> [b ] 6024 +[G][il] -> [Gil] 6025 +[or][i] -> [ori] 6026 +[sl][av] -> [slav] 6027 +[W][ ] -> [W ] 6028 +[er][c] -> [erc] 6029 +[Ohi][o] -> [Ohio] 6030 +[n][ight] -> [night] 6031 +[est][-] -> [est-] 6032 +[Sh][ow] -> [Show] 6033 +[tro][op] -> [troop] 6034 +[st][ag] -> [stag] 6035 +[it][age ] -> [itage ] 6036 +[star][t ] -> [start ] 6037 +[.\u000a\u000aC][are] -> [.\u000a\u000aCare] 6038 +[er ][in the ] -> [er in the ] 6039 +[un][i] -> [uni] 6040 +[2020 ][census] -> [2020 census] 6041 +[a][ud] -> [aud] 6042 +[u][ter] -> [uter] 6043 +[thr][iller ] -> [thriller ] 6044 +[0 ][m || \u000a|-id=] -> [0 m || \u000a|-id=] 6045 +[perform][anc] -> [performanc] 6046 +[county seat ][is ] -> [county seat is ] 6047 +[, 2003][ || Socorro || LINEAR || — || align=right | ] -> [, 2003 || Socorro || LINEAR || — || align=right | ] 6048 +[u][ff] -> [uff] 6049 +[H][all] -> [Hall] 6050 +[s ][such as ] -> [s such as ] 6051 +[des][ign ] -> [design ] 6052 +[ang][er] -> [anger] 6053 +[ings and ][structure] -> [ings and structure] 6054 +[s. ][\u000a\u000a] -> [s. \u000a\u000a] 6055 +[. A][b] -> [. Ab] 6056 +[5][2] -> [52] 6057 +[ert][ain] -> [ertain] 6058 +[ births\u000aLiving people\u000a][Footballers from ] -> [ births\u000aLiving people\u000aFootballers from ] 6059 +[Peopl][e's ] -> [People's ] 6060 +[Conf][eder] -> [Confeder] 6061 +[c][ong] -> [cong] 6062 +[us][p] -> [usp] 6063 +[h][, ] -> [h, ] 6064 +[r][or] -> [ror] 6065 +[Roman ][Catholic ] -> [Roman Catholic ] 6066 +[played ][for the ] -> [played for the ] 6067 +[ef][ ] -> [ef ] 6068 +[sp][ent ] -> [spent ] 6069 +[An][ti] -> [Anti] 6070 +[Ser][ie ] -> [Serie ] 6071 +[ur][ity ] -> [urity ] 6072 +[, 2001][ || Palomar || NEAT] -> [, 2001 || Palomar || NEAT] 6073 +[histor][ical ] -> [historical ] 6074 +[Tor][on] -> [Toron] 6075 +[help][ed ] -> [helped ] 6076 +[. After ][the ] -> [. After the ] 6077 +[hy][dro] -> [hydro] 6078 +[Dur][ing the ] -> [During the ] 6079 +[success][ful ] -> [successful ] 6080 +[ing][.\u000a\u000a] -> [ing.\u000a\u000a] 6081 +[a l][ong ] -> [a long ] 6082 +[t][-] -> [t-] 6083 +[a][. ] -> [a. ] 6084 +[Bill][board ] -> [Billboard ] 6085 +[Sing][ap] -> [Singap] 6086 +[div][ision ] -> [division ] 6087 +[Movies ][set in ] -> [Movies set in ] 6088 +[B][all] -> [Ball] 6089 +[ation][s] -> [ations] 6090 +[County ][is a county ] -> [County is a county ] 6091 +[il][le ] -> [ille ] 6092 +[part][s of the ] -> [parts of the ] 6093 +[ob][ile ] -> [obile ] 6094 +[Bro][ad] -> [Broad] 6095 +[sty][le ] -> [style ] 6096 +[z][, ] -> [z, ] 6097 +[ra][ther ] -> [rather ] 6098 +[y][a ] -> [ya ] 6099 +[professional ][wrestl] -> [professional wrestl] 6100 +[ed][g] -> [edg] 6101 +[D][omin] -> [Domin] 6102 +[bo][x ] -> [box ] 6103 +[J][im] -> [Jim] 6104 +[L][im] -> [Lim] 6105 +[Air][lin] -> [Airlin] 6106 +[k][id] -> [kid] 6107 +[pur][pos] -> [purpos] 6108 +[bur][n] -> [burn] 6109 +[Bl][ue ] -> [Blue ] 6110 +[it][a ] -> [ita ] 6111 +[kn][ow] -> [know] 6112 +[b][ad] -> [bad] 6113 +[per][c] -> [perc] 6114 +[H][eal] -> [Heal] 6115 +[y][st] -> [yst] 6116 +[re][vol] -> [revol] 6117 +[k ][and ] -> [k and ] 6118 +[ation][\u000a] -> [ation\u000a] 6119 +[Cal][v] -> [Calv] 6120 +[Mil][itary ] -> [Military ] 6121 +[ul][l ] -> [ull ] 6122 +[Ch][ief ] -> [Chief ] 6123 +[E][ver] -> [Ever] 6124 +[Viet][nam] -> [Vietnam] 6125 +[ist ][(d. ] -> [ist (d. ] 6126 +[s][ens] -> [sens] 6127 +[Sy][d] -> [Syd] 6128 +[indu][stri] -> [industri] 6129 +[n][it] -> [nit] 6130 +[Tot][al] -> [Total] 6131 +[was ][made ] -> [was made ] 6132 +[||0][\u000a] -> [||0\u000a] 6133 +[||3][0] -> [||30] 6134 +[\u000a ][F] -> [\u000a F] 6135 +[adi][um ] -> [adium ] 6136 +[tim][es] -> [times] 6137 +[an][al] -> [anal] 6138 +[Jack][son ] -> [Jackson ] 6139 +[Ass][embly ] -> [Assembly ] 6140 +[instr][ument] -> [instrument] 6141 +[reti][red ] -> [retired ] 6142 +[. S][ince ] -> [. Since ] 6143 +[e][. It ] -> [e. It ] 6144 +[Ear][th ] -> [Earth ] 6145 +[198][8 ] -> [1988 ] 6146 +[\u000a|-][\u000a!] -> [\u000a|-\u000a!] 6147 +[in][iti] -> [initi] 6148 +[Movi][e ] -> [Movie ] 6149 +[T][it] -> [Tit] 6150 +[L][ove ] -> [Love ] 6151 +[wh][ose ] -> [whose ] 6152 +[Cro][ati] -> [Croati] 6153 +[res][ign] -> [resign] 6154 +[cord][ing to ] -> [cording to ] 6155 +[C][anc] -> [Canc] 6156 +[gr][av] -> [grav] 6157 +[L][or] -> [Lor] 6158 +[, ][The ] -> [, The ] 6159 +[has ][the ] -> [has the ] 6160 +[end][s ] -> [ends ] 6161 +[f][ederal ] -> [federal ] 6162 +[fin][al] -> [final] 6163 +[childr][en's ] -> [children's ] 6164 +[R][ed] -> [Red] 6165 +[o][di] -> [odi] 6166 +[an ][area of ] -> [an area of ] 6167 +[, 1998][ || Socorro || LINEAR || ] -> [, 1998 || Socorro || LINEAR || ] 6168 +[be][hav] -> [behav] 6169 +[c][ricket] -> [cricket] 6170 +[man ][and ] -> [man and ] 6171 +[es][cap] -> [escap] 6172 +[c][am] -> [cam] 6173 +[d][é] -> [dé] 6174 +[; ][the ] -> [; the ] 6175 +[reach][ed ] -> [reached ] 6176 +[. B][ecaus] -> [. Becaus] 6177 +[Div][ision] -> [Division] 6178 +[along ][the ] -> [along the ] 6179 +[med][ic] -> [medic] 6180 +[species ][of ] -> [species of ] 6181 +[best ][known for ] -> [best known for ] 6182 +[nation][al] -> [national] 6183 +[ob][serv] -> [observ] 6184 +[ful][ly ] -> [fully ] 6185 +[T][ay] -> [Tay] 6186 +[Par][is ] -> [Paris ] 6187 +[writ][ing ] -> [writing ] 6188 +[ou][ch] -> [ouch] 6189 +[ang][e ] -> [ange ] 6190 +[sp][ace ] -> [space ] 6191 +[s, ][which ] -> [s, which ] 6192 +[U][t] -> [Ut] 6193 +[. A][n ] -> [. An ] 6194 +[M][P] -> [MP] 6195 +[sing][er ] -> [singer ] 6196 +[es][lig] -> [eslig] 6197 +[chur][ch] -> [church] 6198 +[s ][is ] -> [s is ] 6199 +[with][in the ] -> [within the ] 6200 +[comedy ][movies\u000a] -> [comedy movies\u000a] 6201 +[R][&] -> [R&] 6202 +[consid][ered ] -> [considered ] 6203 +[f][arm] -> [farm] 6204 +[Iran][ian ] -> [Iranian ] 6205 +[ist ][(] -> [ist (] 6206 +[p][et] -> [pet] 6207 +[milli][on] -> [million] 6208 +[C][ity of ] -> [City of ] 6209 +[199][3 ] -> [1993 ] 6210 +[as ]["] -> [as "] 6211 +[memb][ers ] -> [members ] 6212 +[e][. It was ] -> [e. It was ] 6213 +[b][ach] -> [bach] 6214 +[cont][ains ] -> [contains ] 6215 +[co][ast ] -> [coast ] 6216 +[ia][\u000a ] -> [ia\u000a ] 6217 +[ || align=right | ][7.] -> [ || align=right | 7.] 6218 +[di][plom] -> [diplom] 6219 +[music][ian ] -> [musician ] 6220 +[divid][ed into ] -> [divided into ] 6221 +[||1][5] -> [||15] 6222 +[wh][it] -> [whit] 6223 +[g][ood] -> [good] 6224 +[ö][r] -> [ör] 6225 +[os][, ] -> [os, ] 6226 +[could ][not ] -> [could not ] 6227 +[B][ook ] -> [Book ] 6228 +[to ][get ] -> [to get ] 6229 +[in][i ] -> [ini ] 6230 +[ies ][and ] -> [ies and ] 6231 +[t][ax] -> [tax] 6232 +[US][A] -> [USA] 6233 +[Connec][tic] -> [Connectic] 6234 +[most ][of the ] -> [most of the ] 6235 +[a ]["] -> [a "] 6236 +[Ira][q] -> [Iraq] 6237 +[Portugu][ese ] -> [Portuguese ] 6238 +[appear][ed in ] -> [appeared in ] 6239 +[el][f] -> [elf] 6240 +[li][e ] -> [lie ] 6241 +[S][qu] -> [Squ] 6242 +[Ad][am] -> [Adam] 6243 +[ || ][Catalina || CSS] -> [ || Catalina || CSS] 6244 +[ord][er] -> [order] 6245 +[r][ad] -> [rad] 6246 +[their][ b] -> [their b] 6247 +[Scot][land] -> [Scotland] 6248 +[N][ev] -> [Nev] 6249 +[c][art] -> [cart] 6250 +[bir][th ] -> [birth ] 6251 +[mov][ement ] -> [movement ] 6252 +[ar][i ] -> [ari ] 6253 +[Dak][ot] -> [Dakot] 6254 +[\u000a][F] -> [\u000aF] 6255 +[�][�] -> [�] 6256 +[for][ce ] -> [force ] 6257 +[ed][, and ] -> [ed, and ] 6258 +[Hungar][ian ] -> [Hungarian ] 6259 +[person][al] -> [personal] 6260 +[http][://] -> [http://] 6261 +[h][a] -> [ha] 6262 +[of][t ] -> [oft ] 6263 +[n][é] -> [né] 6264 +[ong ][K] -> [ong K] 6265 +[h][o] -> [ho] 6266 +[publish][ed in ] -> [published in ] 6267 +[most ][important ] -> [most important ] 6268 +[ar][y, ] -> [ary, ] 6269 +[er (][born ] -> [er (born ] 6270 +[sex][ual ] -> [sexual ] 6271 +[ens][us ] -> [ensus ] 6272 +[After ][the ] -> [After the ] 6273 +[releas][ed on ] -> [released on ] 6274 +[is][i] -> [isi] 6275 +[pand][em] -> [pandem] 6276 +[”][ ] -> [” ] 6277 +[5][00] -> [500] 6278 +[town ][of ] -> [town of ] 6279 +[Fam][ily ] -> [Family ] 6280 +[rec][ip] -> [recip] 6281 +[pres][ident] -> [president] 6282 +[m ][(] -> [m (] 6283 +[ri][an ] -> [rian ] 6284 +[le][ave ] -> [leave ] 6285 +[bl][u] -> [blu] 6286 +[H][arry ] -> [Harry ] 6287 +[Tennes][se] -> [Tennesse] 6288 +[,][" ] -> [," ] 6289 +[f][estiv] -> [festiv] 6290 +[e, ][a ] -> [e, a ] 6291 +[bro][th] -> [broth] 6292 +[B][BC ] -> [BBC ] 6293 +[e][uten] -> [euten] 6294 +[releas][ed in ] -> [released in ] 6295 +[A][ff] -> [Aff] 6296 +[it][or] -> [itor] 6297 +[um][p ] -> [ump ] 6298 +[v][ice ] -> [vice ] 6299 +[b][ad ] -> [bad ] 6300 +[es][. ] -> [es. ] 6301 +[u][fact] -> [ufact] 6302 +[s][le] -> [sle] 6303 +[Un][der] -> [Under] 6304 +[had ][to ] -> [had to ] 6305 +[Det][ro] -> [Detro] 6306 +[Col][l] -> [Coll] 6307 +[ut][t] -> [utt] 6308 +[ó][n] -> [ón] 6309 +[and ][his ] -> [and his ] 6310 +[an][ch ] -> [anch ] 6311 +[Counc][il] -> [Council] 6312 +[region ][of ] -> [region of ] 6313 +[as ][(] -> [as (] 6314 +[\u000a|-\u000a!][Total] -> [\u000a|-\u000a!Total] 6315 +[Ari][zon] -> [Arizon] 6316 +[Ch][em] -> [Chem] 6317 +[||][16] -> [||16] 6318 +[202][2, ] -> [2022, ] 6319 +[B][ib] -> [Bib] 6320 +[B][ah] -> [Bah] 6321 +[B][ell] -> [Bell] 6322 +[) ][was ] -> [) was ] 6323 +[coun][c] -> [counc] 6324 +[. 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Ch] 6659 +[es][.\u000a ] -> [es.\u000a ] 6660 +[creat][ed by ] -> [created by ] 6661 +[s in ][a ] -> [s in a ] 6662 +[Wrestl][ing ] -> [Wrestling ] 6663 +[Pol][and] -> [Poland] 6664 +[n][ic ] -> [nic ] 6665 +[return][ed to ] -> [returned to ] 6666 +[Lem][mon ] -> [Lemmon ] 6667 +[G][ab] -> [Gab] 6668 +[Stev][e ] -> [Steve ] 6669 +[eas][on ] -> [eason ] 6670 +[than ][the ] -> [than the ] 6671 +[int][ell] -> [intell] 6672 +[ak][i ] -> [aki ] 6673 +[s, ][including ] -> [s, including ] 6674 +[B][ad] -> [Bad] 6675 +[ti][es ] -> [ties ] 6676 +[198][0s ] -> [1980s ] 6677 +[v][e] -> [ve] 6678 +[d][oub] -> [doub] 6679 +[tod][ay] -> [today] 6680 +[s][un] -> [sun] 6681 +[gre][en ] -> [green ] 6682 +[S][lov] -> [Slov] 6683 +[p][ast] -> [past] 6684 +[B][A] -> [BA] 6685 +[re][t ] -> [ret ] 6686 +[K][o] -> [Ko] 6687 +[similar ][to ] -> [similar to ] 6688 +[L][ind] -> [Lind] 6689 +[nucle][ar ] -> [nuclear ] 6690 +[m][em] -> [mem] 6691 +[An][t] -> [Ant] 6692 +[Tai][w] -> [Taiw] 6693 +[bu][s ] -> [bus ] 6694 +[ishop][ of ] -> [ishop of ] 6695 +[n][early ] -> [nearly ] 6696 +[�][�] -> [�] 6697 +[||2][8] -> [||28] 6698 +[with ][an ] -> [with an ] 6699 +[izumi || T. 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Kobayashi] 6700 +[13][, ] -> [13, ] 6701 +[a ][- ] -> [a - ] 6702 +[l][em] -> [lem] 6703 +[Fre][der] -> [Freder] 6704 +[music ][group] -> [music group] 6705 +[ley][ball ] -> [leyball ] 6706 +[et][c] -> [etc] 6707 +[it][ch ] -> [itch ] 6708 +[ric][h] -> [rich] 6709 +[N][AS] -> [NAS] 6710 +[ufact][ur] -> [ufactur] 6711 +[it ][the ] -> [it the ] 6712 +[his ][first ] -> [his first ] 6713 +[T][ony ] -> [Tony ] 6714 +[um][e ] -> [ume ] 6715 +[n][er] -> [ner] 6716 +[, 2000 || Socorro || LINEAR || — || align=right | ][4.] -> [, 2000 || Socorro || LINEAR || — || align=right | 4.] 6717 +[emor][ial ] -> [emorial ] 6718 +[Mexic][o] -> [Mexico] 6719 +[ births\u000a][2022 ] -> [ births\u000a2022 ] 6720 +[econom][ic ] -> [economic ] 6721 +[in ][which ] -> [in which ] 6722 +[Mar][sh] -> [Marsh] 6723 +[ug][by ] -> [ugby ] 6724 +[K][az] -> [Kaz] 6725 +[M][ot] -> [Mot] 6726 +[priv][ate ] -> [private ] 6727 +[2020][) was a ] -> [2020) was a ] 6728 +[ri][e ] -> [rie ] 6729 +[it ][of ] -> [it of ] 6730 +[net][work ] -> [network ] 6731 +[cap][ital] -> [capital] 6732 +[who ][is ] -> [who is ] 6733 +[B][ut] -> [But] 6734 +[com][un] -> [comun] 6735 +[y][our ] -> [your ] 6736 +[Mount ][Lemmon ] -> [Mount Lemmon ] 6737 +[e. ][\u000a\u000a] -> [e. \u000a\u000a] 6738 +[pos][itive ] -> [positive ] 6739 +[squ][are ] -> [square ] 6740 +[y][n ] -> [yn ] 6741 +[||][17] -> [||17] 6742 +[should ][be ] -> [should be ] 6743 +[num][ber] -> [number] 6744 +[cent][er] -> [center] 6745 +[drama ][movie directed by ] -> [drama movie directed by ] 6746 +[cri][p] -> [crip] 6747 +[nic][kn] -> [nickn] 6748 +[ed ][an ] -> [ed an ] 6749 +[O][reg] -> [Oreg] 6750 +[trav][el] -> [travel] 6751 +[H][amp] -> [Hamp] 6752 +[condi][tion] -> [condition] 6753 +[x][im] -> [xim] 6754 +[oth][ers] -> [others] 6755 +[execu][tive ] -> [executive ] 6756 +[al][tern] -> [altern] 6757 +[lin][k] -> [link] 6758 +[, ][P] -> [, P] 6759 +[at][a ] -> [ata ] 6760 +[n][a ] -> [na ] 6761 +[usiness][people from ] -> [usinesspeople from ] 6762 +[H][Y] -> [HY] 6763 +[jaz][z ] -> [jazz ] 6764 +[pr][on] -> [pron] 6765 +[ births\u000a][2019 ] -> [ births\u000a2019 ] 6766 +[inst][ead of ] -> [instead of ] 6767 +[writ][er, ] -> [writer, ] 6768 +[es][s of ] -> [ess of ] 6769 +[s][av] -> [sav] 6770 +['s ][first ] -> ['s first ] 6771 +[201][1, ] -> [2011, ] 6772 +[2][ bgcolor=#fefefe\u000a| ] -> [2 bgcolor=#fefefe\u000a| ] 6773 +[u][v] -> [uv] 6774 +[s][)] -> [s)] 6775 +[d][el ] -> [del ] 6776 +[�][�] -> [ū] 6777 +[Ser][vic] -> [Servic] 6778 +[T][o] -> [To] 6779 +[websit][e ] -> [website ] 6780 +[vil][le, ] -> [ville, ] 6781 +[c][ivil] -> [civil] 6782 +[Dou][gl] -> [Dougl] 6783 +[land ][and ] -> [land and ] 6784 +[ach][iev] -> [achiev] 6785 +[le][ar] -> [lear] 6786 +[ad][ult ] -> [adult ] 6787 +[exc][ept ] -> [except ] 6788 +[ing ][that ] -> [ing that ] 6789 +[means ]["] -> [means "] 6790 +[Arth][ur ] -> [Arthur ] 6791 +[Cor][por] -> [Corpor] 6792 +[U][p ] -> [Up ] 6793 +[norm][al ] -> [normal ] 6794 +[Radi][o ] -> [Radio ] 6795 +[national ][football ] -> [national football ] 6796 +[g][as ] -> [gas ] 6797 +[ation ][for ] -> [ation for ] 6798 +[St][and] -> [Stand] 6799 +[ight][s ] -> [ights ] 6800 +[T][ar] -> [Tar] 6801 +[exper][im] -> [experim] 6802 +[Lif][e ] -> [Life ] 6803 +[L][ew] -> [Lew] 6804 +[W][e ] -> [We ] 6805 +[acc][ident] -> [accident] 6806 +[Award ][winning ] -> [Award winning ] 6807 +[an][n ] -> [ann ] 6808 +[, 2001 || Socorro || LINEAR || — || align=right | ][3.] -> [, 2001 || Socorro || LINEAR || — || align=right | 3.] 6809 +[Irel][and ] -> [Ireland ] 6810 +[r][h] -> [rh] 6811 +[14][, ] -> [14, ] 6812 +[20][, ] -> [20, ] 6813 +[cre][d] -> [cred] 6814 +[lead][ing ] -> [leading ] 6815 +[k][a ] -> [ka ] 6816 +[as][c] -> [asc] 6817 +[M][ik] -> [Mik] 6818 +[ || ][ || September ] -> [ || || September ] 6819 +[rel][ativ] -> [relativ] 6820 +[on][ic] -> [onic] 6821 +[D][.C] -> [D.C] 6822 +[Cong][res] -> [Congres] 6823 +[A][ut] -> [Aut] 6824 +[ograph][y\u000a\u000a] -> [ography\u000a\u000a] 6825 +[vill][ag] -> [villag] 6826 +[Be][at] -> [Beat] 6827 +[L][ord ] -> [Lord ] 6828 +[kn][own] -> [known] 6829 +[D][oub] -> [Doub] 6830 +[) is a ][former ] -> [) is a former ] 6831 +[histor][y] -> [history] 6832 +[wh][ole ] -> [whole ] 6833 +[h][ood ] -> [hood ] 6834 +[ent ][of ] -> [ent of ] 6835 +[7][-] -> [7-] 6836 +[Formul][a ] -> [Formula ] 6837 +[Sou][th] -> [South] 6838 +[John][son ] -> [Johnson ] 6839 +[if ][the ] -> [if the ] 6840 +[ind][ic] -> [indic] 6841 +[4][1] -> [41] 6842 +[spec][ial] -> [special] 6843 +[s][. This ] -> [s. This ] 6844 +[if][i] -> [ifi] 6845 +[g][ard] -> [gard] 6846 +[J][ean] -> [Jean] 6847 +[Hall of ][Fame ] -> [Hall of Fame ] 6848 +[b][ott] -> [bott] 6849 +[b][en] -> [ben] 6850 +[N][ight ] -> [Night ] 6851 +[In][f] -> [Inf] 6852 +[Fl][ight ] -> [Flight ] 6853 +[Br][uc] -> [Bruc] 6854 +[p][ay ] -> [pay ] 6855 +[e (][born ] -> [e (born ] 6856 +[ b][l] -> [ bl] 6857 +[hor][ror ] -> [horror ] 6858 +[Dev][elop] -> [Develop] 6859 +[chang][ed ] -> [changed ] 6860 +[lead][er of the ] -> [leader of the ] 6861 +[Law][r] -> [Lawr] 6862 +[G][ood] -> [Good] 6863 +[wif][e ] -> [wife ] 6864 +[pro][pos] -> [propos] 6865 +[made ][up ] -> [made up ] 6866 +[s][et] -> [set] 6867 +[ births\u000a201][7 ] -> [ births\u000a2017 ] 6868 +[South ][Wal] -> [South Wal] 6869 +[organiz][ation] -> [organization] 6870 +[d][rop] -> [drop] 6871 +[ing ][is ] -> [ing is ] 6872 +[B][on] -> [Bon] 6873 +[at][o ] -> [ato ] 6874 +[el][ (] -> [el (] 6875 +[L][aur] -> [Laur] 6876 +[.\u000a\u000aRelated pag][es\u000a ] -> [.\u000a\u000aRelated pages\u000a ] 6877 +[most ][famous ] -> [most famous ] 6878 +[giv][es ] -> [gives ] 6879 +[people ][in ] -> [people in ] 6880 +[Im][per] -> [Imper] 6881 +[i][o] -> [io] 6882 +[buil][d ] -> [build ] 6883 +[197][2 ] -> [1972 ] 6884 +[193][4] -> [1934] 6885 +[ch][ampion ] -> [champion ] 6886 +[fin][anc] -> [financ] 6887 +[Leagu][e (] -> [League (] 6888 +[mak][e the ] -> [make the ] 6889 +[a][qu] -> [aqu] 6890 +[l][es, ] -> [les, ] 6891 +[ian][t ] -> [iant ] 6892 +[al][ph] -> [alph] 6893 +[high][er ] -> [higher ] 6894 +[Er][n] -> [Ern] 6895 +[An][gl] -> [Angl] 6896 +[201][6, ] -> [2016, ] 6897 +[u][an] -> [uan] 6898 +[K][ash] -> [Kash] 6899 +[J][im ] -> [Jim ] 6900 +[HY][G] -> [HYG] 6901 +[. He ][is the ] -> [. He is the ] 6902 +[also ][called ] -> [also called ] 6903 +[mo][ther] -> [mother] 6904 +[198][2 ] -> [1982 ] 6905 +[Pl][ac] -> [Plac] 6906 +[N][ative ] -> [Native ] 6907 +[\u000a][American ] -> [\u000aAmerican ] 6908 +[�][�] -> [и] 6909 +[st][ay] -> [stay] 6910 +[mar][k ] -> [mark ] 6911 +[Lond][on, ] -> [London, ] 6912 +[fif][th ] -> [fifth ] 6913 +[Scot][t ] -> [Scott ] 6914 +[Inter][net ] -> [Internet ] 6915 +[quick][ly ] -> [quickly ] 6916 +[Kor][e] -> [Kore] 6917 +[com][ment] -> [comment] 6918 +[cl][ass ] -> [class ] 6919 +[Sm][ith] -> [Smith] 6920 +[prov][ince ] -> [province ] 6921 +[st][and ] -> [stand ] 6922 +[Lin][col] -> [Lincol] 6923 +[D][un] -> [Dun] 6924 +[in the ][canton of ] -> [in the canton of ] 6925 +[�][�] -> [�] 6926 +[iti][es] -> [ities] 6927 +[Y][am] -> [Yam] 6928 +[stand][ing ] -> [standing ] 6929 +[es ][have ] -> [es have ] 6930 +[sit][u] -> [situ] 6931 +[Afg][han] -> [Afghan] 6932 +[B][ay ] -> [Bay ] 6933 +[K][ing of ] -> [King of ] 6934 +[Ch][ap] -> [Chap] 6935 +[Christ][m] -> [Christm] 6936 +[runn][ing ] -> [running ] 6937 +[Sup][reme ] -> [Supreme ] 6938 +[Dani][el ] -> [Daniel ] 6939 +[G][ame ] -> [Game ] 6940 +[, 1998][ || ] -> [, 1998 || ] 6941 +[con][firm] -> [confirm] 6942 +[enti][re ] -> [entire ] 6943 +[N][ad] -> [Nad] 6944 +[actres][s and ] -> [actress and ] 6945 +[Sp][ace ] -> [Space ] 6946 +[i][or] -> [ior] 6947 +[on][y] -> [ony] 6948 +[tion ][and ] -> [tion and ] 6949 +[Bri][tish] -> [British] 6950 +[actor ][(] -> [actor (] 6951 +[H][un] -> [Hun] 6952 +[s][" ] -> [s" ] 6953 +[]][ ] -> [] ] 6954 +[Hum][an ] -> [Human ] 6955 +[c][all ] -> [call ] 6956 +[N][ations ] -> [Nations ] 6957 +[D][am] -> [Dam] 6958 +[||2][\u000a|-\u000a|200] -> [||2\u000a|-\u000a|200] 6959 +[Sport][s ] -> [Sports ] 6960 +[Her][itage ] -> [Heritage ] 6961 +[gen][e] -> [gene] 6962 +[es ][as ] -> [es as ] 6963 +[st][ra] -> [stra] 6964 +[Emp][ire ] -> [Empire ] 6965 +[B][ak] -> [Bak] 6966 +[rit][ory ] -> [ritory ] 6967 +[en][e] -> [ene] 6968 +[previ][ous ] -> [previous ] 6969 +[con][serv] -> [conserv] 6970 +[d][id] -> [did] 6971 +[compet][ed at the ] -> [competed at the ] 6972 +[Qu][ebec] -> [Quebec] 6973 +[Buildings and structure][s in ] -> [Buildings and structures in ] 6974 +[recogn][iz] -> [recogniz] 6975 +[D][own] -> [Down] 6976 +[they ][have ] -> [they have ] 6977 +[o][il ] -> [oil ] 6978 +[defe][ated ] -> [defeated ] 6979 +[. It is ][in the ] -> [. It is in the ] 6980 +[liv][ed in ] -> [lived in ] 6981 +[v][ar] -> [var] 6982 +[by ][a ] -> [by a ] 6983 +[s][), ] -> [s), ] 6984 +[d][re] -> [dre] 6985 +[.\u000a\u000aReferences\u000a\u000a][Cities in ] -> [.\u000a\u000aReferences\u000a\u000aCities in ] 6986 +[li][br] -> [libr] 6987 +[wom][en] -> [women] 6988 +[u][y] -> [uy] 6989 +[Afghan][ist] -> [Afghanist] 6990 +[T][op ] -> [Top ] 6991 +[�][�] -> [ł] 6992 +[di][al] -> [dial] 6993 +[incorpor][ated ] -> [incorporated ] 6994 +[Vall][ey ] -> [Valley ] 6995 +[on][c] -> [onc] 6996 +[t][ool] -> [tool] 6997 +[experi][enc] -> [experienc] 6998 +[ox][id] -> [oxid] 6999 +[1][ bgcolor=#fefefe\u000a| ] -> [1 bgcolor=#fefefe\u000a| ] 7000 +[s\u000a][The ] -> [s\u000aThe ] 7001 +[S][atur] -> [Satur] 7002 +[||2][7] -> [||27] 7003 +[ur][g] -> [urg] 7004 +[son]['s ] -> [son's ] 7005 +[earth][qu] -> [earthqu] 7006 +[Ukrain][ian ] -> [Ukrainian ] 7007 +[est][in] -> [estin] 7008 +[dom][in] -> [domin] 7009 +[m][iddle ] -> [middle ] 7010 +[M][aur] -> [Maur] 7011 +[v][all] -> [vall] 7012 +[bor][d] -> [bord] 7013 +[O][d] -> [Od] 7014 +[u][tion] -> [ution] 7015 +[phys][ical ] -> [physical ] 7016 +[Met][ropolitan ] -> [Metropolitan ] 7017 +[on][z] -> [onz] 7018 +[some ][of the ] -> [some of the ] 7019 +[3][rd ] -> [3rd ] 7020 +[ers][\u000a\u000a] -> [ers\u000a\u000a] 7021 +[J][ord] -> [Jord] 7022 +[N][FL] -> [NFL] 7023 +[t][a ] -> [ta ] 7024 +[193][6] -> [1936] 7025 +[Ar][n] -> [Arn] 7026 +[re][turn ] -> [return ] 7027 +[arr][ang] -> [arrang] 7028 +[Hol][y ] -> [Holy ] 7029 +[Nor][way] -> [Norway] 7030 +[Cent][ury ] -> [Century ] 7031 +[ing][\u000a ] -> [ing\u000a ] 7032 +[char][act] -> [charact] 7033 +[\u000a][K] -> [\u000aK] 7034 +[par][k] -> [park] 7035 +[ab][ ] -> [ab ] 7036 +[con][fl] -> [confl] 7037 +[-][B] -> [-B] 7038 +[193][8] -> [1938] 7039 +[compl][ication] -> [complication] 7040 +[Chin][a ] -> [China ] 7041 +[ers ][in the ] -> [ers in the ] 7042 +[t][elevision] -> [television] 7043 +[c][ust] -> [cust] 7044 +[al][p] -> [alp] 7045 +[al][um] -> [alum] 7046 +[Sc][re] -> [Scre] 7047 +[cri][m] -> [crim] 7048 +[An][dr] -> [Andr] 7049 +[sur][fac] -> [surfac] 7050 +[ers][' ] -> [ers' ] 7051 +[L][angu] -> [Langu] 7052 +[V][ice ] -> [Vice ] 7053 +[people lived ther][e.\u000a\u000a] -> [people lived there.\u000a\u000a] 7054 +[Sant][a ] -> [Santa ] 7055 +[á][n] -> [án] 7056 +[.\u000a\u000aReferences\u000a\u000aOther websit][es \u000a\u000a] -> [.\u000a\u000aReferences\u000a\u000aOther websites \u000a\u000a] 7057 +[act][ually ] -> [actually ] 7058 +[stand][ard ] -> [standard ] 7059 +[, ][G] -> [, G] 7060 +[death][s] -> [deaths] 7061 +[d][u ] -> [du ] 7062 +[19][19] -> [1919] 7063 +[stor][m] -> [storm] 7064 +[em][erg] -> [emerg] 7065 +[cal][end] -> [calend] 7066 +[par][k ] -> [park ] 7067 +[es][ter ] -> [ester ] 7068 +[h][ere ] -> [here ] 7069 +[city ][in the ] -> [city in the ] 7070 +[is ][often ] -> [is often ] 7071 +[ir][o ] -> [iro ] 7072 +[Rev][olution] -> [Revolution] 7073 +[up ][in ] -> [up in ] 7074 +[er][o] -> [ero] 7075 +[sil][ver ] -> [silver ] 7076 +[ b][efore ] -> [ before ] 7077 +[li][qu] -> [liqu] 7078 +[go][ing ] -> [going ] 7079 +[Br][ad] -> [Brad] 7080 +[municipal][ity of ] -> [municipality of ] 7081 +[ular][ly ] -> [ularly ] 7082 +[C][op] -> [Cop] 7083 +[ate ][the ] -> [ate the ] 7084 +[toge][ther] -> [together] 7085 +[agn][os] -> [agnos] 7086 +[develop][ment ] -> [development ] 7087 +[E][P] -> [EP] 7088 +[M][oh] -> [Moh] 7089 +[ births\u000a2021 ][deaths\u000a] -> [ births\u000a2021 deaths\u000a] 7090 +[made ][the ] -> [made the ] 7091 +[ers][. The ] -> [ers. The ] 7092 +[||3][3] -> [||33] 7093 +[Arkans][as] -> [Arkansas] 7094 +[bor][der ] -> [border ] 7095 +[Al][ask] -> [Alask] 7096 +[is a ][village ] -> [is a village ] 7097 +[198][5 ] -> [1985 ] 7098 +[pri][mary ] -> [primary ] 7099 +[New ][South Wal] -> [New South Wal] 7100 +[t ][to ] -> [t to ] 7101 +[Related pag][es \u000a ] -> [Related pages \u000a ] 7102 +[fem][al] -> [femal] 7103 +[A][L] -> [AL] 7104 +[s][usp] -> [susp] 7105 +[. Ab][out ] -> [. About ] 7106 +[and][y ] -> [andy ] 7107 +[Bar][cel] -> [Barcel] 7108 +[vol][can] -> [volcan] 7109 +[Belg][ium] -> [Belgium] 7110 +[||2][6] -> [||26] 7111 +[dat][a ] -> [data ] 7112 +[Budd][h] -> [Buddh] 7113 +[ becaus][e ] -> [ because ] 7114 +[str][eng] -> [streng] 7115 +[Princ][ess ] -> [Princess ] 7116 +[St][. L] -> [St. L] 7117 +[Play][Station ] -> [PlayStation ] 7118 +[P][itt] -> [Pitt] 7119 +[od][e ] -> [ode ] 7120 +[P][re] -> [Pre] 7121 +[\u000a ][V] -> [\u000a V] 7122 +[an-][American ] -> [an-American ] 7123 +[compan][ies ] -> [companies ] 7124 +[d][en ] -> [den ] 7125 +[larg][er ] -> [larger ] 7126 +[||3][4] -> [||34] 7127 +[cont][rol] -> [control] 7128 +[bl][ack] -> [black] 7129 +[M][ak] -> [Mak] 7130 +[. They ][have ] -> [. They have ] 7131 +[)\u000a ][The ] -> [)\u000a The ] 7132 +[tak][ing ] -> [taking ] 7133 +[193][5] -> [1935] 7134 +[a P][refecture] -> [a Prefecture] 7135 +[c][ut ] -> [cut ] 7136 +[||3][2] -> [||32] 7137 +[national ][team ] -> [national team ] 7138 +[s to ][be ] -> [s to be ] 7139 +[J][enn] -> [Jenn] 7140 +[sing][er, ] -> [singer, ] 7141 +[o][en] -> [oen] 7142 +[f][li] -> [fli] 7143 +[Russ][ia ] -> [Russia ] 7144 +[18][, ] -> [18, ] 7145 +[euten][ant ] -> [eutenant ] 7146 +[R][ol] -> [Rol] 7147 +[, 2000][ || Anderson Mesa || LONEOS] -> [, 2000 || Anderson Mesa || LONEOS] 7148 +[p][ay] -> [pay] 7149 +[to ][become ] -> [to become ] 7150 +[anti][-] -> [anti-] 7151 +[was ][born on ] -> [was born on ] 7152 +[N][ar] -> [Nar] 7153 +[great][est ] -> [greatest ] 7154 +[t][aught ] -> [taught ] 7155 +[Mus][lim ] -> [Muslim ] 7156 +[Californ][ia, ] -> [California, ] 7157 +[ent][ertain] -> [entertain] 7158 +[Entertain][ment ] -> [Entertainment ] 7159 +[il][d ] -> [ild ] 7160 +[Sm][ith ] -> [Smith ] 7161 +[k][er ] -> [ker ] 7162 +[k][i] -> [ki] 7163 +[ k][m ] -> [ km ] 7164 +[I][s ] -> [Is ] 7165 +[th-century ][establishments in ] -> [th-century establishments in ] 7166 +[s, ][a ] -> [s, a ] 7167 +[y][g] -> [yg] 7168 +[193][3] -> [1933] 7169 +[||][20] -> [||20] 7170 +[lat][er, ] -> [later, ] 7171 +[publish][ed ] -> [published ] 7172 +[V][ic] -> [Vic] 7173 +[ing][u] -> [ingu] 7174 +[||2][2] -> [||22] 7175 +[St][ra] -> [Stra] 7176 +[�][�] -> [ı] 7177 +[Venez][uel] -> [Venezuel] 7178 +[S][t ] -> [St ] 7179 +[. She ][also ] -> [. She also ] 7180 +[b][ri] -> [bri] 7181 +[C][er] -> [Cer] 7182 +[is ][and ] -> [is and ] 7183 +[Ber][lin] -> [Berlin] 7184 +[ing][, and ] -> [ing, and ] 7185 +[eg][r] -> [egr] 7186 +[G][h] -> [Gh] 7187 +[fl][ag] -> [flag] 7188 +[mov][ed ] -> [moved ] 7189 +[Bund][eslig] -> [Bundeslig] 7190 +[..][.] -> [...] 7191 +[f][ast ] -> [fast ] 7192 +[prot][ect ] -> [protect ] 7193 +[Br][un] -> [Brun] 7194 +[Canc][er ] -> [Cancer ] 7195 +[sugg][est] -> [suggest] 7196 +[Ch][am] -> [Cham] 7197 +[mark][et ] -> [market ] 7198 +[not ][be ] -> [not be ] 7199 +[t][ell ] -> [tell ] 7200 +[um][, ] -> [um, ] 7201 +[J][as] -> [Jas] 7202 +[colleg][e ] -> [college ] 7203 +[.\u000a\u000aReferences\u000a\u000aOther websites\u000a ][\u000a\u000a] -> [.\u000a\u000aReferences\u000a\u000aOther websites\u000a \u000a\u000a] 7204 +[small][er ] -> [smaller ] 7205 +[Spec][ial ] -> [Special ] 7206 +[Barcel][on] -> [Barcelon] 7207 +[ip][ur] -> [ipur] 7208 +[Z][h] -> [Zh] 7209 +[s, ][or ] -> [s, or ] 7210 +[�][�] -> [ß] 7211 +[s][\u000a\u000aReferences\u000a\u000a] -> [s\u000a\u000aReferences\u000a\u000a] 7212 +[simpl][y ] -> [simply ] 7213 +[t][ub] -> [tub] 7214 +[l][ic] -> [lic] 7215 +[asket][ball ] -> [asketball ] 7216 +[s ][for the ] -> [s for the ] 7217 +[i][tion] -> [ition] 7218 +[u][s and ] -> [us and ] 7219 +[he ][is ] -> [he is ] 7220 +[ag][on ] -> [agon ] 7221 +[S][um] -> [Sum] 7222 +[y ][of the ] -> [y of the ] 7223 +[h][urricane ] -> [hurricane ] 7224 +[w][r] -> [wr] 7225 +[produc][e ] -> [produce ] 7226 +[th][en] -> [then] 7227 +[. W][ith ] -> [. With ] 7228 +[19][00] -> [1900] 7229 +[referr][ed to ] -> [referred to ] 7230 +[F][ol] -> [Fol] 7231 +[began ][to ] -> [began to ] 7232 +[7][ bgcolor=#fefefe\u000a| ] -> [7 bgcolor=#fefefe\u000a| ] 7233 +[ing ][with ] -> [ing with ] 7234 +[net][work] -> [network] 7235 +[Tim][e ] -> [Time ] 7236 +[on]['s ] -> [on's ] 7237 +[H][ay] -> [Hay] 7238 +[-d][ay ] -> [-day ] 7239 +[tal][k ] -> [talk ] 7240 +[Ad][vent] -> [Advent] 7241 +[O][izumi || T. Kobayashi] -> [Oizumi || T. Kobayashi] 7242 +[Al][bert ] -> [Albert ] 7243 +[at ][his ] -> [at his ] 7244 +[K][a] -> [Ka] 7245 +[J][ean ] -> [Jean ] 7246 +[W][ild] -> [Wild] 7247 +[can also ][be ] -> [can also be ] 7248 +[pro][ject] -> [project] 7249 +[former][ly ] -> [formerly ] 7250 +[\u000a][People from ] -> [\u000aPeople from ] 7251 +[caus][ed ] -> [caused ] 7252 +[I][ce ] -> [Ice ] 7253 +[B][a] -> [Ba] 7254 +[cros][s] -> [cross] 7255 +[it ][to ] -> [it to ] 7256 +[ ][in the ] -> [ in the ] 7257 +[at][o] -> [ato] 7258 +[a member ][of the ] -> [a member of the ] 7259 +[Pl][an] -> [Plan] 7260 +[eau][ti] -> [eauti] 7261 +[, 2002 || Socorro || LINEAR || — || align=right | ][1.] -> [, 2002 || Socorro || LINEAR || — || align=right | 1.] 7262 +[S][an] -> [San] 7263 +[res][earch] -> [research] 7264 +[finish][ed ] -> [finished ] 7265 +[Ter][ritor] -> [Territor] 7266 +[ly][ric] -> [lyric] 7267 +[197][5 ] -> [1975 ] 7268 +[B][ob ] -> [Bob ] 7269 +[in ][L] -> [in L] 7270 +[whe][ther ] -> [whether ] 7271 +[Other websit][es\u000a\u000a] -> [Other websites\u000a\u000a] 7272 +[j][an ] -> [jan ] 7273 +[li][ber] -> [liber] 7274 +[appe][ar ] -> [appear ] 7275 +[COVID-][19] -> [COVID-19] 7276 +[ion][s ] -> [ions ] 7277 +[is ][to ] -> [is to ] 7278 +[Colleg][e ] -> [College ] 7279 +[197][0 ] -> [1970 ] 7280 +[sol][v] -> [solv] 7281 +[V][is] -> [Vis] 7282 +[anc][e of ] -> [ance of ] 7283 +[chem][ist] -> [chemist] 7284 +[Mus][lim] -> [Muslim] 7285 +[on ][September ] -> [on September ] 7286 +[p][ic] -> [pic] 7287 +[Sh][ar] -> [Shar] 7288 +[Observatory ][|| ] -> [Observatory || ] 7289 +[anim][als ] -> [animals ] 7290 +[c][it] -> [cit] 7291 +[in][spir] -> [inspir] 7292 +[cat][eg] -> [categ] 7293 +[, ][R] -> [, R] 7294 +[al][g] -> [alg] 7295 +[ug][u] -> [ugu] 7296 +[d][ynast] -> [dynast] 7297 +[t][ennis ] -> [tennis ] 7298 +[mid][-] -> [mid-] 7299 +[ent][er] -> [enter] 7300 +[meas][ur] -> [measur] 7301 +[198][3 ] -> [1983 ] 7302 +[m][ess] -> [mess] 7303 +[forc][es ] -> [forces ] 7304 +[w][ing] -> [wing] 7305 +[||1][\u000a|-\u000a|] -> [||1\u000a|-\u000a|] 7306 +[C][level] -> [Clevel] 7307 +[Christ][opher ] -> [Christopher ] 7308 +[y][z] -> [yz] 7309 +[pain][ter ] -> [painter ] 7310 +[All][-] -> [All-] 7311 +[\u000a\u000a][|-] -> [\u000a\u000a|-] 7312 +[o][il] -> [oil] 7313 +[d][es ] -> [des ] 7314 +[s][i] -> [si] 7315 +[le ][and ] -> [le and ] 7316 +[ra][z] -> [raz] 7317 +[Award for ][Best ] -> [Award for Best ] 7318 +[for][eign ] -> [foreign ] 7319 +[.\u000a\u000a][Geograph] -> [.\u000a\u000aGeograph] 7320 +[wid][ely ] -> [widely ] 7321 +[inv][estig] -> [investig] 7322 +[e][en ] -> [een ] 7323 +[198][7 ] -> [1987 ] 7324 +[s][; ] -> [s; ] 7325 +[3][ bgcolor=#fefefe\u000a| ] -> [3 bgcolor=#fefefe\u000a| ] 7326 +[h][r] -> [hr] 7327 +[H][ome ] -> [Home ] 7328 +[Mar][k] -> [Mark] 7329 +[19][10] -> [1910] 7330 +[28][, ] -> [28, ] 7331 +[Bost][on ] -> [Boston ] 7332 +[Ev][ent] -> [Event] 7333 +[D][V] -> [DV] 7334 +[. ][\u000a\u000a] -> [. \u000a\u000a] 7335 +[Chicag][o] -> [Chicago] 7336 +[u][ (] -> [u (] 7337 +[most ][of ] -> [most of ] 7338 +[ec][tion of ] -> [ection of ] 7339 +[Sh][er] -> [Sher] 7340 +[25][, ] -> [25, ] 7341 +[at][s ] -> [ats ] 7342 +[Bri][an ] -> [Brian ] 7343 +[e][), ] -> [e), ] 7344 +[ || — || ][September ] -> [ || — || September ] 7345 +[K][an] -> [Kan] 7346 +[s][. It was ] -> [s. It was ] 7347 +[Toky][o ] -> [Tokyo ] 7348 +[daughter ][of ] -> [daughter of ] 7349 +[||3][1] -> [||31] 7350 +[Championship][ (] -> [Championship (] 7351 +[s.\u000a\u000a][In ] -> [s.\u000a\u000aIn ] 7352 +[K][id] -> [Kid] 7353 +[it ][in ] -> [it in ] 7354 +[O][w] -> [Ow] 7355 +[�][�] -> [č] 7356 +[H][ong K] -> [Hong K] 7357 +[ated ][with ] -> [ated with ] 7358 +[W][y] -> [Wy] 7359 +[advent][ure ] -> [adventure ] 7360 +[Hol][ly] -> [Holly] 7361 +[S][oci] -> [Soci] 7362 +[Americ][an] -> [American] 7363 +[, 199][2] -> [, 1992] 7364 +[C][ost] -> [Cost] 7365 +[plac][es ] -> [places ] 7366 +[many ][different ] -> [many different ] 7367 +[Mi][ke ] -> [Mike ] 7368 +[lov][e ] -> [love ] 7369 +[way ][to ] -> [way to ] 7370 +[h][op] -> [hop] 7371 +[tr][ue ] -> [true ] 7372 +[H][ou] -> [Hou] 7373 +[os][lav] -> [oslav] 7374 +[S][é] -> [Sé] 7375 +[up ][the ] -> [up the ] 7376 +[er, ][American ] -> [er, American ] 7377 +[3][1, ] -> [31, ] 7378 +[al][i ] -> [ali ] 7379 +[K][el] -> [Kel] 7380 +[bre][ak ] -> [break ] 7381 +[world]['s ] -> [world's ] 7382 +[Comp][any ] -> [Company ] 7383 +[Arab][ ] -> [Arab ] 7384 +[St][ock] -> [Stock] 7385 +[k][ept ] -> [kept ] 7386 +[people lived ther][e] -> [people lived there] 7387 +[, ][T] -> [, T] 7388 +[-][b] -> [-b] 7389 +[V][eg] -> [Veg] 7390 +[H][ind] -> [Hind] 7391 +[nor][theast ] -> [northeast ] 7392 +[owev][er ] -> [owever ] 7393 +[ch][ief ] -> [chief ] 7394 +[olog][ist] -> [ologist] 7395 +[Mar][ie ] -> [Marie ] 7396 +[con][qu] -> [conqu] 7397 +[sign][ific] -> [signific] 7398 +[at][ell] -> [atell] 7399 +[ary ][of the ] -> [ary of the ] 7400 +[ill][ustr] -> [illustr] 7401 +[. She ][is ] -> [. She is ] 7402 +[ro][les ] -> [roles ] 7403 +[cour][t ] -> [court ] 7404 +[previ][ously ] -> [previously ] 7405 +[was ][in ] -> [was in ] 7406 +[201][2, ] -> [2012, ] 7407 +[enc][e of ] -> [ence of ] 7408 +[S][und] -> [Sund] 7409 +[ar ][and ] -> [ar and ] 7410 +[Har][v] -> [Harv] 7411 +[, which ][is ] -> [, which is ] 7412 +[N][ick] -> [Nick] 7413 +[||2][5] -> [||25] 7414 +[arrondiss][ement of ] -> [arrondissement of ] 7415 +[Pakist][an ] -> [Pakistan ] 7416 +[193][7] -> [1937] 7417 +[School][ ] -> [School ] 7418 +[em][bl] -> [embl] 7419 +[spe][ak ] -> [speak ] 7420 +[ro][ut] -> [rout] 7421 +[s][.\u000a\u000aReferences \u000a\u000a] -> [s.\u000a\u000aReferences \u000a\u000a] 7422 +[Brit][ain] -> [Britain] 7423 +[ation ][is ] -> [ation is ] 7424 +[f][ash] -> [fash] 7425 +[ax][im] -> [axim] 7426 +[is a ][former ] -> [is a former ] 7427 +[M][and] -> [Mand] 7428 +[spok][en ] -> [spoken ] 7429 +[You][Tub] -> [YouTub] 7430 +[writ][e ] -> [write ] 7431 +[typ][e ] -> [type ] 7432 +[Ital][y ] -> [Italy ] 7433 +[wh][ich] -> [which] 7434 +[�][�] -> [е] 7435 +[ress][ion ] -> [ression ] 7436 +[L][am] -> [Lam] 7437 +[g][etting ] -> [getting ] 7438 +[0][0 ] -> [00 ] 7439 +[Mount][ain] -> [Mountain] 7440 +[F][all] -> [Fall] 7441 +[s. ][B] -> [s. B] 7442 +[T][HM] -> [THM] 7443 +[2][-] -> [2-] 7444 +[oper][a ] -> [opera ] 7445 +[e][.\u000a] -> [e.\u000a] 7446 +[ion][, ] -> [ion, ] 7447 +[V][ers] -> [Vers] 7448 +[S][ocial ] -> [Social ] 7449 +[Res][earch ] -> [Research ] 7450 +[k][i ] -> [ki ] 7451 +[A][is] -> [Ais] 7452 +[version ][of ] -> [version of ] 7453 +[6][0 ] -> [60 ] 7454 +[aircraf][t ] -> [aircraft ] 7455 +[u][ch ] -> [uch ] 7456 +[sur][e ] -> [sure ] 7457 +[E][ach ] -> [Each ] 7458 +[Aff][air] -> [Affair] 7459 +[go][al ] -> [goal ] 7460 +[Haw][ai] -> [Hawai] 7461 +[s ][which ] -> [s which ] 7462 +[)\u000a][The ] -> [)\u000aThe ] 7463 +[bel][ong] -> [belong] 7464 +[ard][o ] -> [ardo ] 7465 +[spec][ies] -> [species] 7466 +[NH][L ] -> [NHL ] 7467 +[en][th ] -> [enth ] 7468 +[Ev][en ] -> [Even ] 7469 +[for ][exampl] -> [for exampl] 7470 +[w][ear] -> [wear] 7471 +[r][y, ] -> [ry, ] 7472 +[Fro][g] -> [Frog] 7473 +[ab][ov] -> [abov] 7474 +[Dis][eas] -> [Diseas] 7475 +[O][f ] -> [Of ] 7476 +[s ][|| ] -> [s || ] 7477 +[ass][in] -> [assin] 7478 +[em][on] -> [emon] 7479 +[er ][who ] -> [er who ] 7480 +[t][all] -> [tall] 7481 +[org][an ] -> [organ ] 7482 +[im][prov] -> [improv] 7483 +[whil][e the ] -> [while the ] 7484 +[pl][ane ] -> [plane ] 7485 +[Andre][w ] -> [Andrew ] 7486 +[ed][.\u000a ] -> [ed.\u000a ] 7487 +[iding ][Spring] -> [iding Spring] 7488 +[s, ][such as ] -> [s, such as ] 7489 +[sing][er\u000a ] -> [singer\u000a ] 7490 +[L][is] -> [Lis] 7491 +[e, ][which ] -> [e, which ] 7492 +[fur][ther ] -> [further ] 7493 +[are ][not ] -> [are not ] 7494 +[me][thod] -> [method] 7495 +[.\u000a\u000aOther websit][es\u000a\u000a] -> [.\u000a\u000aOther websites\u000a\u000a] 7496 +[V][ik] -> [Vik] 7497 +[diffic][ult ] -> [difficult ] 7498 +[Pennsylvan][ia] -> [Pennsylvania] 7499 +[I][T] -> [IT] 7500 +[26][, ] -> [26, ] 7501 +[canc][er ] -> [cancer ] 7502 +[in][ste] -> [inste] 7503 +[a ][de ] -> [a de ] 7504 +[ || S][iding Spring] -> [ || Siding Spring] 7505 +[s][ac] -> [sac] 7506 +[tim][es, ] -> [times, ] 7507 +[y][" ] -> [y" ] 7508 +[. It ][is ] -> [. It is ] 7509 +[ric][ul] -> [ricul] 7510 +[D][om] -> [Dom] 7511 +[New York ][City ] -> [New York City ] 7512 +[Christm][as ] -> [Christmas ] 7513 +["][. The ] -> [". The ] 7514 +[||2][1] -> [||21] 7515 +[popul][ation] -> [population] 7516 +[Li][ke ] -> [Like ] 7517 +[s][o, ] -> [so, ] 7518 +[ed][ul] -> [edul] 7519 +[es][.\u000a\u000aThe ] -> [es.\u000a\u000aThe ] 7520 +[, 199][1] -> [, 1991] 7521 +[192][9] -> [1929] 7522 +[o][ir] -> [oir] 7523 +[||2][4] -> [||24] 7524 +[liv][ed ] -> [lived ] 7525 +[F][ic] -> [Fic] 7526 +[off ][the ] -> [off the ] 7527 +[fri][end ] -> [friend ] 7528 +[O][t] -> [Ot] 7529 +[id][ence ] -> [idence ] 7530 +[hon][or] -> [honor] 7531 +[S][ong ] -> [Song ] 7532 +[ists\u000a][American ] -> [ists\u000aAmerican ] 7533 +[Al][though ] -> [Although ] 7534 +[studi][ed ] -> [studied ] 7535 +[b][acter] -> [bacter] 7536 +[d][ate ] -> [date ] 7537 +[j][am] -> [jam] 7538 +[w][atch] -> [watch] 7539 +[ou][ld] -> [ould] 7540 +[kind][s of ] -> [kinds of ] 7541 +[batt][le ] -> [battle ] 7542 +[cord][ing to the ] -> [cording to the ] 7543 +[back][ground] -> [background] 7544 +[ births\u000a201][8 ] -> [ births\u000a2018 ] 7545 +[. For ][example, ] -> [. For example, ] 7546 +[re][p] -> [rep] 7547 +[f][und] -> [fund] 7548 +[Depart][ment of ] -> [Department of ] 7549 +[J. League ][2] -> [J. League 2] 7550 +[him][self] -> [himself] 7551 +[el][t ] -> [elt ] 7552 +[, ][she ] -> [, she ] 7553 +[ide][a ] -> [idea ] 7554 +[Canad][a ] -> [Canada ] 7555 +[H][O] -> [HO] 7556 +[com][ed] -> [comed] 7557 +[t][est ] -> [test ] 7558 +[A][y] -> [Ay] 7559 +[ersh][ip ] -> [ership ] 7560 +[. ][All ] -> [. All ] 7561 +[Col][on] -> [Colon] 7562 +[. The ][movie ] -> [. The movie ] 7563 +[king][dom] -> [kingdom] 7564 +[E][ur] -> [Eur] 7565 +[ex][press] -> [express] 7566 +[on ][January ] -> [on January ] 7567 +[f][actor] -> [factor] 7568 +[e, ][American ] -> [e, American ] 7569 +[power][ful ] -> [powerful ] 7570 +[4][00] -> [400] 7571 +[V][ar] -> [Var] 7572 +[gr][aph] -> [graph] 7573 +[+][ ] -> [+ ] 7574 +[att][en] -> [atten] 7575 +[�][�] -> [•] 7576 +[campa][ign ] -> [campaign ] 7577 +[them ][to ] -> [them to ] 7578 +[is][tic ] -> [istic ] 7579 +[d][y] -> [dy] 7580 +[Banglad][esh] -> [Bangladesh] 7581 +[person][al ] -> [personal ] 7582 +[, 1999 || Socorro || LINEAR || — || align=right | ][2.] -> [, 1999 || Socorro || LINEAR || — || align=right | 2.] 7583 +[Pun][j] -> [Punj] 7584 +[19][17] -> [1917] 7585 +[I]['] -> [I'] 7586 +[ail][y ] -> [aily ] 7587 +[ide][as ] -> [ideas ] 7588 +[Washington, ][D.C] -> [Washington, D.C] 7589 +[) ][in the ] -> [) in the ] 7590 +[ō][ ] -> [ō ] 7591 +[Ar][c] -> [Arc] 7592 +[urric][an] -> [urrican] 7593 +[must ][be ] -> [must be ] 7594 +[Em][my ] -> [Emmy ] 7595 +[ch][i] -> [chi] 7596 +[ing][\u000a\u000a] -> [ing\u000a\u000a] 7597 +[ers][, and ] -> [ers, and ] 7598 +[Bul][gar] -> [Bulgar] 7599 +[Al][an ] -> [Alan ] 7600 +[p][ast ] -> [past ] 7601 +[b][an] -> [ban] 7602 +[-][-] -> [--] 7603 +[th][at] -> [that] 7604 +[por][ary ] -> [porary ] 7605 +[Youn][g] -> [Young] 7606 +[relation][ship] -> [relationship] 7607 +[a][||] -> [a||] 7608 +[�][�] -> [à] 7609 +[High][ ] -> [High ] 7610 +[sec][ret] -> [secret] 7611 +[stor][ies ] -> [stories ] 7612 +[ell][, ] -> [ell, ] 7613 +[trans][f] -> [transf] 7614 +[2][ bgcolor=#E9E9E9\u000a| ] -> [2 bgcolor=#E9E9E9\u000a| ] 7615 +[C][are] -> [Care] 7616 +[ and ][was ] -> [ and was ] 7617 +[S][ab] -> [Sab] 7618 +[was releas][ed in ] -> [was released in ] 7619 +[17][7] -> [177] 7620 +[F][ox] -> [Fox] 7621 +[, 200][7] -> [, 2007] 7622 +[Up][per ] -> [Upper ] 7623 +[home ][in ] -> [home in ] 7624 +[']['] -> [''] 7625 +[Priz][e in ] -> [Prize in ] 7626 +[neigh][bor] -> [neighbor] 7627 +[G][E] -> [GE] 7628 +[th][is, ] -> [this, ] 7629 +[Pas-de-Cal][a] -> [Pas-de-Cala] 7630 +[. ][Other ] -> [. Other ] 7631 +[0s ][establishments in ] -> [0s establishments in ] 7632 +[the ][most ] -> [the most ] 7633 +[rec][ent ] -> [recent ] 7634 +[es\u000a][The ] -> [es\u000aThe ] 7635 +[li][p] -> [lip] 7636 +[t][oo] -> [too] 7637 +[wor][th ] -> [worth ] 7638 +[Sh][ak] -> [Shak] 7639 +[||2][3] -> [||23] 7640 +[ ][The ] -> [ The ] 7641 +[ext][inc] -> [extinc] 7642 +[Air][port ] -> [Airport ] 7643 +[bl][ock] -> [block] 7644 +[that ][it ] -> [that it ] 7645 +[b][rain ] -> [brain ] 7646 +[Pic][tur] -> [Pictur] 7647 +[video ][games\u000a] -> [video games\u000a] 7648 +[is a municipality ][in the ] -> [is a municipality in the ] 7649 +[man][ufactur] -> [manufactur] 7650 +[P][a] -> [Pa] 7651 +[C][ant] -> [Cant] 7652 +[Dre][am] -> [Dream] 7653 +[s ][about ] -> [s about ] 7654 +[M][e ] -> [Me ] 7655 +[ig][en] -> [igen] 7656 +[Duk][e of ] -> [Duke of ] 7657 +[cul][tural ] -> [cultural ] 7658 +[for the ][first ] -> [for the first ] 7659 +[, 2001 || Socorro || LINEAR || — || align=right | ][4.] -> [, 2001 || Socorro || LINEAR || — || align=right | 4.] 7660 +[musician][s\u000a] -> [musicians\u000a] 7661 +[6][1] -> [61] 7662 +[Naz][i ] -> [Nazi ] 7663 +[201][7, ] -> [2017, ] 7664 +[Mar][v] -> [Marv] 7665 +[W][els] -> [Wels] 7666 +[o][ke ] -> [oke ] 7667 +[Lu][x] -> [Lux] 7668 +[amm][ad ] -> [ammad ] 7669 +[||0||][4] -> [||0||4] 7670 +[lef][t the ] -> [left the ] 7671 +[well][ known ] -> [well known ] 7672 +[ard][, ] -> [ard, ] 7673 +[When ][the ] -> [When the ] 7674 +[d][ens] -> [dens] 7675 +[ser][ve ] -> [serve ] 7676 +[func][tion] -> [function] 7677 +[trav][el ] -> [travel ] 7678 +[best ][known ] -> [best known ] 7679 +[or ][a ] -> [or a ] 7680 +[e][. This ] -> [e. This ] 7681 +[6][ bgcolor=#fefefe\u000a| ] -> [6 bgcolor=#fefefe\u000a| ] 7682 +[Br][and] -> [Brand] 7683 +[V][inc] -> [Vinc] 7684 +[200][7, ] -> [2007, ] 7685 +[head][quarter] -> [headquarter] 7686 +[dam][age ] -> [damage ] 7687 +[c][ell ] -> [cell ] 7688 +[ bgcolor=#fefefe\u000a| 1][5] -> [ bgcolor=#fefefe\u000a| 15] 7689 +[A][M] -> [AM] 7690 +[ || || — || September ][24] -> [ || || — || September 24] 7691 +[)\u000a ]["] -> [)\u000a "] 7692 +[mater][ial] -> [material] 7693 +[Jos][é ] -> [José ] 7694 +[Pat][rick ] -> [Patrick ] 7695 +[mod][el ] -> [model ] 7696 +[COVID-19 ][pandem] -> [COVID-19 pandem] 7697 +[st][ay ] -> [stay ] 7698 +[h][i ] -> [hi ] 7699 +[b][usiness ] -> [business ] 7700 +[E][cu] -> [Ecu] 7701 +[South ][Carol] -> [South Carol] 7702 +[ b][u] -> [ bu] 7703 +[Mar][gar] -> [Margar] 7704 +[k][o ] -> [ko ] 7705 +[aw][ay] -> [away] 7706 +[canc][er\u000a] -> [cancer\u000a] 7707 +[or ][in ] -> [or in ] 7708 +[. Dur][ing the ] -> [. 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The ] -> [er. The ] 7820 +[1][ bgcolor=#E9E9E9\u000a| ] -> [1 bgcolor=#E9E9E9\u000a| ] 7821 +[year][-] -> [year-] 7822 +[es][. In ] -> [es. In ] 7823 +[Franc][e\u000a] -> [France\u000a] 7824 +[Wik][i] -> [Wiki] 7825 +[�][�] -> [н] 7826 +[p][age ] -> [page ] 7827 +[dor][f] -> [dorf] 7828 +[environ][ment] -> [environment] 7829 +[Mar][ch] -> [March] 7830 +[Anth][ony ] -> [Anthony ] 7831 +[year][s of ] -> [years of ] 7832 +[H][it] -> [Hit] 7833 +[oc][ol] -> [ocol] 7834 +[k][y ] -> [ky ] 7835 +[ai][m ] -> [aim ] 7836 +[B][eng] -> [Beng] 7837 +[to ][s] -> [to s] 7838 +[let][ter ] -> [letter ] 7839 +[l][ed by ] -> [led by ] 7840 +[N][ight] -> [Night] 7841 +[ö][n] -> [ön] 7842 +[dist][ance ] -> [distance ] 7843 +[196][8 ] -> [1968 ] 7844 +[pre][v] -> [prev] 7845 +[mon][t] -> [mont] 7846 +[h][att] -> [hatt] 7847 +[Ch][art] -> [Chart] 7848 +[New York (state][)\u000a] -> [New York (state)\u000a] 7849 +[North ][America] -> [North America] 7850 +[cul][tur] -> [cultur] 7851 +[in ][18] -> [in 18] 7852 +[a][el] -> [ael] 7853 +[co][st] -> [cost] 7854 +[, ][they ] -> [, they ] 7855 +[Cam][er] -> [Camer] 7856 +[ub][b] -> [ubb] 7857 +[out ][of the ] -> [out of the ] 7858 +[L][yn] -> [Lyn] 7859 +[capital ][of the ] -> [capital of the ] 7860 +[tr][y to ] -> [try to ] 7861 +[l][a ] -> [la ] 7862 +[M][ol] -> [Mol] 7863 +[fi][ed ] -> [fied ] 7864 +[att][le ] -> [attle ] 7865 +[S][un ] -> [Sun ] 7866 +[district][)] -> [district)] 7867 +[I][cel] -> [Icel] 7868 +[Sing][ers from ] -> [Singers from ] 7869 +[medi][a ] -> [media ] 7870 +[s][.\u000a] -> [s.\u000a] 7871 +[raf][t] -> [raft] 7872 +[actres][s. She ] -> [actress. 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Some] 8002 +[sc][ap] -> [scap] 8003 +[spec][ific ] -> [specific ] 8004 +[g][as] -> [gas] 8005 +[ing][. The ] -> [ing. 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T][o ] -> [. To ] 8053 +[Liv][e ] -> [Live ] 8054 +[ter][ror] -> [terror] 8055 +[en][s, ] -> [ens, ] 8056 +[is ][of ] -> [is of ] 8057 +[A][T] -> [AT] 8058 +[Austral][ia, ] -> [Australia, ] 8059 +[Other websit][es\u000a ] -> [Other websites\u000a ] 8060 +[Di][eg] -> [Dieg] 8061 +[qu][ite ] -> [quite ] 8062 +[3][-] -> [3-] 8063 +[I][NS] -> [INS] 8064 +[l][oy] -> [loy] 8065 +[O][ber] -> [Ober] 8066 +[Toron][to ] -> [Toronto ] 8067 +[pa][id ] -> [paid ] 8068 +[com][es from the ] -> [comes from the ] 8069 +[ic ][and ] -> [ic and ] 8070 +[young][er ] -> [younger ] 8071 +[s][/] -> [s/] 8072 +[the][ory ] -> [theory ] 8073 +[def][end] -> [defend] 8074 +[D][eb] -> [Deb] 8075 +[individ][ual ] -> [individual ] 8076 +[Des][ert ] -> [Desert ] 8077 +[19][14] -> [1914] 8078 +[artic][le ] -> [article ] 8079 +[I][t] -> [It] 8080 +[is a ][list of ] -> [is a list of ] 8081 +[it][o ] -> [ito ] 8082 +[in][e-] -> [ine-] 8083 +[h][air] -> [hair] 8084 +[commerc][ial ] -> [commercial ] 8085 +[pri][me ] -> [prime ] 8086 +[||0][\u000a|-\u000a!Total] -> [||0\u000a|-\u000a!Total] 8087 +[sk][i ] -> [ski ] 8088 +[196][0 ] -> [1960 ] 8089 +[R&][B ] -> [R&B ] 8090 +[ac][ea] -> [acea] 8091 +[ing ][at ] -> [ing at ] 8092 +[et][ter ] -> [etter ] 8093 +[techn][i] -> [techni] 8094 +[.\u000a\u000aRelated pag][es\u000a] -> [.\u000a\u000aRelated pages\u000a] 8095 +[J][eff] -> [Jeff] 8096 +[192][8] -> [1928] 8097 +[candid][ate ] -> [candidate ] 8098 +[all ][of the ] -> [all of the ] 8099 +[P][yr] -> [Pyr] 8100 +[er][.\u000a ] -> [er.\u000a ] 8101 +[tim][e of ] -> [time of ] 8102 +[b][ought ] -> [bought ] 8103 +[On ][the ] -> [On the ] 8104 +[I][ts ] -> [Its ] 8105 +[Per][c] -> [Perc] 8106 +[m][ass ] -> [mass ] 8107 +[H][ill ] -> [Hill ] 8108 +[Brit][ain ] -> [Britain ] 8109 +[bod][y] -> [body] 8110 +[s ][- ] -> [s - ] 8111 +[Jr][. ] -> [Jr. ] 8112 +[ro][om ] -> [room ] 8113 +[t][ail] -> [tail] 8114 +[Europ][e ] -> [Europe ] 8115 +[9][/] -> [9/] 8116 +[3][ bgcolor=#E9E9E9\u000a| ] -> [3 bgcolor=#E9E9E9\u000a| ] 8117 +[d ][(] -> [d (] 8118 +[m][, ] -> [m, ] 8119 +[South ][Korean ] -> [South Korean ] 8120 +[E][ston] -> [Eston] 8121 +[E][S] -> [ES] 8122 +[\u000a|}\u000a\u000a][International ] -> [\u000a|}\u000a\u000aInternational ] 8123 +[Wiscons][in] -> [Wisconsin] 8124 +[ex][hib] -> [exhib] 8125 +[people ][to ] -> [people to ] 8126 +[u][-] -> [u-] 8127 +[ k][il] -> [ kil] 8128 +[play][s for ] -> [plays for ] 8129 +[ia][.\u000a\u000a] -> [ia.\u000a\u000a] 8130 +[ km][²] -> [ km²] 8131 +[prot][ect] -> [protect] 8132 +[it][em] -> [item] 8133 +[é][r] -> [ér] 8134 +[y ][is ] -> [y is ] 8135 +[direct][ly ] -> [directly ] 8136 +[Tay][l] -> [Tayl] 8137 +[Los Angel][es, ] -> [Los Angeles, ] 8138 +[television ][program] -> [television program] 8139 +[s][. He was ] -> [s. He was ] 8140 +[song ]["] -> [song "] 8141 +[B][ure] -> [Bure] 8142 +[north][west of ] -> [northwest of ] 8143 +[Cancer ][deaths in ] -> [Cancer deaths in ] 8144 +[192][6] -> [1926] 8145 +[s][ug] -> [sug] 8146 +[cent][er of ] -> [center of ] 8147 +[Y][ug] -> [Yug] 8148 +[J][ef] -> [Jef] 8149 +[there ][is a ] -> [there is a ] 8150 +[in ][T] -> [in T] 8151 +[c][ook] -> [cook] 8152 +[c][over ] -> [cover ] 8153 +[29][, ] -> [29, ] 8154 +[s][.] -> [s.] 8155 +[B][rown ] -> [Brown ] 8156 +[, 2000 || Socorro || LINEAR || — || align=right | ][5.] -> [, 2000 || Socorro || LINEAR || — || align=right | 5.] 8157 +[�][�] -> [ø] 8158 +[http://][www.] -> [http://www.] 8159 +[tot][al of ] -> [total of ] 8160 +[diseas][e ] -> [disease ] 8161 +[El][l] -> [Ell] 8162 +[on ][August ] -> [on August ] 8163 +[month][s ] -> [months ] 8164 +[s of the ][United States\u000a] -> [s of the United States\u000a] 8165 +[s][ea] -> [sea] 8166 +[wh][y ] -> [why ] 8167 +[an][\u000a ] -> [an\u000a ] 8168 +[e][.\u000a\u000aReferences\u000a\u000a] -> [e.\u000a\u000aReferences\u000a\u000a] 8169 +[H][urricane ] -> [Hurricane ] 8170 +[Chann][el ] -> [Channel ] 8171 +[Mosc][ow] -> [Moscow] 8172 +[ar][a] -> [ara] 8173 +[magaz][ine ] -> [magazine ] 8174 +[�][�] -> [ا] 8175 +[county seat ][of ] -> [county seat of ] 8176 +[Armen][ian ] -> [Armenian ] 8177 +[ k][m || ] -> [ km || ] 8178 +[197][8 ] -> [1978 ] 8179 +[oth][er, ] -> [other, ] 8180 +[oper][ating ] -> [operating ] 8181 +[sk][in ] -> [skin ] 8182 +[h][ug] -> [hug] 8183 +[ig][a] -> [iga] 8184 +[E][sp] -> [Esp] 8185 +[scor][ed ] -> [scored ] 8186 +[broad][cast ] -> [broadcast ] 8187 +[L][ist] -> [List] 8188 +[history ][of ] -> [history of ] 8189 +[diff][erenc] -> [differenc] 8190 +[is a commune. It is ][in ] -> [is a commune. It is in ] 8191 +[13][0] -> [130] 8192 +[Ex][t] -> [Ext] 8193 +[al][k] -> [alk] 8194 +[Secret][ary of ] -> [Secretary of ] 8195 +[se][t of ] -> [set of ] 8196 +[anth][rop] -> [anthrop] 8197 +[Pitt][sburg] -> [Pittsburg] 8198 +[may ][have ] -> [may have ] 8199 +[on ][June ] -> [on June ] 8200 +[Gam][es ] -> [Games ] 8201 +[Que][ens] -> [Queens] 8202 +[4][ bgcolor=#fefefe\u000a| ] -> [4 bgcolor=#fefefe\u000a| ] 8203 +[ef][ul ] -> [eful ] 8204 +[r][ay ] -> [ray ] 8205 +[II][I ] -> [III ] 8206 +[was ][born ] -> [was born ] 8207 +[H][u] -> [Hu] 8208 +[stre][am] -> [stream] 8209 +[7][ bgcolor=#E9E9E9\u000a| ] -> [7 bgcolor=#E9E9E9\u000a| ] 8210 +[football ][club] -> [football club] 8211 +[In][v] -> [Inv] 8212 +[II][ of ] -> [II of ] 8213 +[, 2001][ || ] -> [, 2001 || ] 8214 +[, ][English ] -> [, English ] 8215 +[U][-] -> [U-] 8216 +[Re][al ] -> [Real ] 8217 +[we][ak] -> [weak] 8218 +[ || Kitt Peak || Spacewatch][ || — || align=right | 3.] -> [ || Kitt Peak || Spacewatch || — || align=right | 3.] 8219 +[politician ][(b. ] -> [politician (b. ] 8220 +[4][,] -> [4,] 8221 +[h][and ] -> [hand ] 8222 +[P][ok] -> [Pok] 8223 +[, 2004][ || Socorro || LINEAR || — || align=right | ] -> [, 2004 || Socorro || LINEAR || — || align=right | ] 8224 +[Un][der ] -> [Under ] 8225 +[F][ern] -> [Fern] 8226 +[es]["] -> [es"] 8227 +[tw][o-] -> [two-] 8228 +[R][ot] -> [Rot] 8229 +[195][0 ] -> [1950 ] 8230 +[it][ed] -> [ited] 8231 +[sc][al] -> [scal] 8232 +[actor][s] -> [actors] 8233 +[l][ater] -> [later] 8234 +[or][chestr] -> [orchestr] 8235 +[ beg][an ] -> [ began ] 8236 +[||||||||][||||||||] -> [||||||||||||||||] 8237 +[ar][s ] -> [ars ] 8238 +[sing][le] -> [single] 8239 +[League ][players\u000a] -> [League players\u000a] 8240 +[Americ][a ] -> [America ] 8241 +[in ][Switzerland] -> [in Switzerland] 8242 +[on ][his ] -> [on his ] 8243 +[met][ers ] -> [meters ] 8244 +[roy][al ] -> [royal ] 8245 +[ar][ (] -> [ar (] 8246 +[E][y] -> [Ey] 8247 +[ent][r] -> [entr] 8248 +[S][id] -> [Sid] 8249 +[vari][et] -> [variet] 8250 +[Mic][ros] -> [Micros] 8251 +[. B][y ] -> [. By ] 8252 +[Mer][c] -> [Merc] 8253 +[ ][�] -> [ �] 8254 +[G][ood ] -> [Good ] 8255 +[S][au] -> [Sau] 8256 +[softw][are ] -> [software ] 8257 +[St][ud] -> [Stud] 8258 +[Th][at ] -> [That ] 8259 +[Te][am] -> [Team] 8260 +[st][op] -> [stop] 8261 +[lear][n ] -> [learn ] 8262 +[man ][of the ] -> [man of the ] 8263 +[contro][vers] -> [controvers] 8264 +[people ][are ] -> [people are ] 8265 +[: ][the ] -> [: the ] 8266 +[) ][or ] -> [) or ] 8267 +[.\u000a\u000a][Not] -> [.\u000a\u000aNot] 8268 +[Ar][d] -> [Ard] 8269 +[men][tion] -> [mention] 8270 +[contr][act ] -> [contract ] 8271 +[n][am ] -> [nam ] 8272 +[om][er] -> [omer] 8273 +[s][ail] -> [sail] 8274 +[tw][ent] -> [twent] 8275 +[equ][al ] -> [equal ] 8276 +[de][ad] -> [dead] 8277 +[||1][\u000a|-\u000a|199] -> [||1\u000a|-\u000a|199] 8278 +[sing][les ] -> [singles ] 8279 +[im][ir ] -> [imir ] 8280 +[Tre][at] -> [Treat] 8281 +[ation][\u000a\u000a] -> [ation\u000a\u000a] 8282 +[dé][part] -> [départ] 8283 +[igh][ter ] -> [ighter ] 8284 +[INS][E] -> [INSE] 8285 +[Florid][a] -> [Florida] 8286 +[man][n ] -> [mann ] 8287 +[ated ][from ] -> [ated from ] 8288 +[M][en] -> [Men] 8289 +[le ][(] -> [le (] 8290 +[of ][these ] -> [of these ] 8291 +[g][ress] -> [gress] 8292 +[United States][. The ] -> [United States. The ] 8293 +[o][is ] -> [ois ] 8294 +[chann][el ] -> [channel ] 8295 +[ox][y] -> [oxy] 8296 +[ch][lor] -> [chlor] 8297 +[made ][a ] -> [made a ] 8298 +[C][ensus] -> [Census] 8299 +[Pro][t] -> [Prot] 8300 +[P][ost] -> [Post] 8301 +[l][ed ] -> [led ] 8302 +[ersh][ip] -> [ership] 8303 +[MAS][ || align=right | 1.] -> [MAS || align=right | 1.] 8304 +[ich][ol] -> [ichol] 8305 +[cancer][.\u000a] -> [cancer.\u000a] 8306 +[record][ed ] -> [recorded ] 8307 +[tradi][tion] -> [tradition] 8308 +[as ][and ] -> [as and ] 8309 +[192][7] -> [1927] 8310 +[M][ast] -> [Mast] 8311 +[d][al] -> [dal] 8312 +[stud][ents ] -> [students ] 8313 +[l][ess] -> [less] 8314 +[°][ ] -> [° ] 8315 +[ch][ess ] -> [chess ] 8316 +[f][antasy ] -> [fantasy ] 8317 +[. \u000a\u000a][He ] -> [. \u000a\u000aHe ] 8318 +[Univers][al ] -> [Universal ] 8319 +[j][ur] -> [jur] 8320 +[, ][German ] -> [, German ] 8321 +[pl][an ] -> [plan ] 8322 +[el][y] -> [ely] 8323 +[Pro][gr] -> [Progr] 8324 +[heart ][attack] -> [heart attack] 8325 +[Cre][ek] -> [Creek] 8326 +[their ][first ] -> [their first ] 8327 +[: ][#] -> [: #] 8328 +[S][ev] -> [Sev] 8329 +[Nic][ol] -> [Nicol] 8330 +[Ph][oen] -> [Phoen] 8331 +[17][5] -> [175] 8332 +[e][ch ] -> [ech ] 8333 +[Muse][um] -> [Museum] 8334 +[role ][as ] -> [role as ] 8335 +[I][g] -> [Ig] 8336 +[ ][the ] -> [ the ] 8337 +[United States.\u000a\u000a][Towns in ] -> [United States.\u000a\u000aTowns in ] 8338 +[y ][was ] -> [y was ] 8339 +[cont][est] -> [contest] 8340 +[our][ce ] -> [ource ] 8341 +[ ][D] -> [ D] 8342 +[h][ir] -> [hir] 8343 +[o][ti] -> [oti] 8344 +[o ][in ] -> [o in ] 8345 +[rock b][and ] -> [rock band ] 8346 +[its ][own ] -> [its own ] 8347 +[sit][e ] -> [site ] 8348 +[ist][\u000a ] -> [ist\u000a ] 8349 +[196][4 ] -> [1964 ] 8350 +[form][ed in ] -> [formed in ] 8351 +[acros][s ] -> [across ] 8352 +[B][usinesspeople from ] -> [Businesspeople from ] 8353 +[on ][July ] -> [on July ] 8354 +[n][om] -> [nom] 8355 +[or]['s ] -> [or's ] 8356 +[L][ower ] -> [Lower ] 8357 +[T][ropical ] -> [Tropical ] 8358 +[er ][for the ] -> [er for the ] 8359 +[inv][as] -> [invas] 8360 +[I][ of ] -> [I of ] 8361 +[Dea][th ] -> [Death ] 8362 +[A][P] -> [AP] 8363 +[s (][born ] -> [s (born ] 8364 +[ap][art] -> [apart] 8365 +[h ][(] -> [h (] 8366 +["][the ] -> ["the ] 8367 +[Rob][ert] -> [Robert] 8368 +[id][ay ] -> [iday ] 8369 +[u][tr] -> [utr] 8370 +[ || La Silla || E. W. Elst ][|| — || align=right | ] -> [ || La Silla || E. W. Elst || — || align=right | ] 8371 +[won ][a ] -> [won a ] 8372 +[os][sil] -> [ossil] 8373 +[relat][ed to ] -> [related to ] 8374 +[ity ][and ] -> [ity and ] 8375 +[po][in] -> [poin] 8376 +[want ][to ] -> [want to ] 8377 +[car][di] -> [cardi] 8378 +[gen][us ] -> [genus ] 8379 +[play][w] -> [playw] 8380 +[s\u000a][People from ] -> [s\u000aPeople from ] 8381 +[F][ree ] -> [Free ] 8382 +[on ][November ] -> [on November ] 8383 +[d][ict] -> [dict] 8384 +[al][ized ] -> [alized ] 8385 +[Part][y of ] -> [Party of ] 8386 +[B][ank ] -> [Bank ] 8387 +[Turk][ey] -> [Turkey] 8388 +[wh][om ] -> [whom ] 8389 +[which ][the ] -> [which the ] 8390 +[, ][French ] -> [, French ] 8391 +[Roman][ian ] -> [Romanian ] 8392 +[competi][tion ] -> [competition ] 8393 +[ib][er] -> [iber] 8394 +[part][n] -> [partn] 8395 +[s ][establishments in ] -> [s establishments in ] 8396 +[us][al] -> [usal] 8397 +[led][g] -> [ledg] 8398 +[-designated ][plac] -> [-designated plac] 8399 +[actres][s, ] -> [actress, ] 8400 +[ect][or ] -> [ector ] 8401 +[comp][uter] -> [computer] 8402 +[sp][ell] -> [spell] 8403 +[ || Haleakala || NEAT][ || ] -> [ || Haleakala || NEAT || ] 8404 +[en][h] -> [enh] 8405 +[ch][alleng] -> [challeng] 8406 +[ation][.\u000a\u000a] -> [ation.\u000a\u000a] 8407 +[Pop][ul] -> [Popul] 8408 +[i][es.\u000a\u000a] -> [ies.\u000a\u000a] 8409 +[193][2] -> [1932] 8410 +[fic][tional ] -> [fictional ] 8411 +[heal][th] -> [health] 8412 +[at ][(] -> [at (] 8413 +[died ][from ] -> [died from ] 8414 +[20th ][Century ] -> [20th Century ] 8415 +[at][su] -> [atsu] 8416 +[im][p] -> [imp] 8417 +[es ][by ] -> [es by ] 8418 +[Er][ic ] -> [Eric ] 8419 +[H][ard] -> [Hard] 8420 +[ation][s of ] -> [ations of ] 8421 +[B][erg] -> [Berg] 8422 +[Cor][p] -> [Corp] 8423 +[American movie actors\u000aAmerican ][television actors\u000aAmerican ] -> [American movie actors\u000aAmerican television actors\u000aAmerican ] 8424 +[.\u000a\u000aOther websit][es\u000a ] -> [.\u000a\u000aOther websites\u000a ] 8425 +[anal][ys] -> [analys] 8426 +[s][am] -> [sam] 8427 +[O][sc] -> [Osc] 8428 +[when ][he was ] -> [when he was ] 8429 +[son ][(] -> [son (] 8430 +[In][form] -> [Inform] 8431 +[Lab][our ] -> [Labour ] 8432 +[hy][th] -> [hyth] 8433 +[loc][ated in ] -> [located in ] 8434 +[Con][c] -> [Conc] 8435 +[et][t ] -> [ett ] 8436 +[due ][to the ] -> [due to the ] 8437 +[40][0 ] -> [400 ] 8438 +[Ju][an ] -> [Juan ] 8439 +[Bar][bar] -> [Barbar] 8440 +[Mat][th] -> [Matth] 8441 +[Tr][in] -> [Trin] 8442 +[pl][as] -> [plas] 8443 +[Tam][il ] -> [Tamil ] 8444 +[island ][of ] -> [island of ] 8445 +[H][osp] -> [Hosp] 8446 +[dam][ag] -> [damag] 8447 +[Anton][io ] -> [Antonio ] 8448 +[Ab][d] -> [Abd] 8449 +[es][c] -> [esc] 8450 +[gal][ax] -> [galax] 8451 +[H][er ] -> [Her ] 8452 +[R][io ] -> [Rio ] 8453 +[A][s ] -> [As ] 8454 +[bur][i] -> [buri] 8455 +[ian][s] -> [ians] 8456 +[is ][very ] -> [is very ] 8457 +[Tr][av] -> [Trav] 8458 +[mag][ne] -> [magne] 8459 +[do][ing ] -> [doing ] 8460 +[cl][us] -> [clus] 8461 +[v][el] -> [vel] 8462 +[cov][ers ] -> [covers ] 8463 +[C][-] -> [C-] 8464 +[K][OR] -> [KOR] 8465 +[im][pl] -> [impl] 8466 +[C][ret] -> [Cret] 8467 +[H][op] -> [Hop] 8468 +[ b][r] -> [ br] 8469 +[P][ul] -> [Pul] 8470 +[J][e] -> [Je] 8471 +[play][ed by ] -> [played by ] 8472 +[P][s ] -> [Ps ] 8473 +[ || || — || September ][16] -> [ || || — || September 16] 8474 +[196][7 ] -> [1967 ] 8475 +[ti][al ] -> [tial ] 8476 +[k][el] -> [kel] 8477 +[ath][an ] -> [athan ] 8478 +[Jim][my ] -> [Jimmy ] 8479 +[sh][op] -> [shop] 8480 +[Conf][erenc] -> [Conferenc] 8481 +[, 200][8] -> [, 2008] 8482 +[ens][ion ] -> [ension ] 8483 +[Bal][tim] -> [Baltim] 8484 +[giv][ing ] -> [giving ] 8485 +[3][–] -> [3–] 8486 +[K][on] -> [Kon] 8487 +[res][ist] -> [resist] 8488 +[ev][in ] -> [evin ] 8489 +[each ][other] -> [each other] 8490 +[mon][arch] -> [monarch] 8491 +[Fri][ed] -> [Fried] 8492 +[Austral][ia\u000a] -> [Australia\u000a] 8493 +[Ear][l ] -> [Earl ] 8494 +[nu][mer] -> [numer] 8495 +[through][out the ] -> [throughout the ] 8496 +[5]["|] -> [5"|] 8497 +[Jer][usal] -> [Jerusal] 8498 +[an][e] -> [ane] 8499 +[S][em] -> [Sem] 8500 +[ic][s, ] -> [ics, ] 8501 +[) ][are ] -> [) are ] 8502 +[ || align=right | ][8.] -> [ || align=right | 8.] 8503 +[id][el] -> [idel] 8504 +[H][art] -> [Hart] 8505 +[il][ar] -> [ilar] 8506 +[molec][ul] -> [molecul] 8507 +[Ch][ild] -> [Child] 8508 +[ch][as] -> [chas] 8509 +[L][iter] -> [Liter] 8510 +[s][ome of ] -> [some of ] 8511 +[is ][usually ] -> [is usually ] 8512 +[Span][ish] -> [Spanish] 8513 +[ed to ][a ] -> [ed to a ] 8514 +[G][old ] -> [Gold ] 8515 +[19][15] -> [1915] 8516 +[Geograph][y of ] -> [Geography of ] 8517 +[Mal][ays] -> [Malays] 8518 +[conduc][t] -> [conduct] 8519 +[illi][on] -> [illion] 8520 +[an][s, ] -> [ans, ] 8521 +[Man][chester ] -> [Manchester ] 8522 +[V][ || align=right | 2.] -> [V || align=right | 2.] 8523 +[like ][a ] -> [like a ] 8524 +[p][rec] -> [prec] 8525 +[in the ][United States ] -> [in the United States ] 8526 +[192][5] -> [1925] 8527 +[Ar][tic] -> [Artic] 8528 +[John][ny ] -> [Johnny ] 8529 +[ad][o] -> [ado] 8530 +[T][i] -> [Ti] 8531 +[department in the ][north of ] -> [department in the north of ] 8532 +[Serie ][A] -> [Serie A] 8533 +[television series ][debut] -> [television series debut] 8534 +[a][.] -> [a.] 8535 +[Lux][emb] -> [Luxemb] 8536 +[up][per ] -> [upper ] 8537 +[b][us] -> [bus] 8538 +[ter][min] -> [termin] 8539 +[becaus][e of the ] -> [because of the ] 8540 +[ac][qu] -> [acqu] 8541 +[Emp][ir] -> [Empir] 8542 +[may ][also ] -> [may also ] 8543 +[M][uh] -> [Muh] 8544 +[, 201][7] -> [, 2017] 8545 +[Coun][try ] -> [Country ] 8546 +[a s][ub] -> [a sub] 8547 +[c][ut] -> [cut] 8548 +[e][" (] -> [e" (] 8549 +[both ][the ] -> [both the ] 8550 +[d][eal] -> [deal] 8551 +[intell][ig] -> [intellig] 8552 +[Nav][y ] -> [Navy ] 8553 +[sell][ing ] -> [selling ] 8554 +["][\u000a "] -> ["\u000a "] 8555 +[Scientist][s from ] -> [Scientists from ] 8556 +[United Stat][es and ] -> [United States and ] 8557 +[Ur][ugu] -> [Urugu] 8558 +[n][ar] -> [nar] 8559 +[r][ugby ] -> [rugby ] 8560 +[par][ish ] -> [parish ] 8561 +[Am][bass] -> [Ambass] 8562 +[, ][England] -> [, England] 8563 +[ur][s] -> [urs] 8564 +[t][ap] -> [tap] 8565 +[t][end] -> [tend] 8566 +[b][a] -> [ba] 8567 +[i][\u000a ] -> [i\u000a ] 8568 +[on][\u000a] -> [on\u000a] 8569 +[produc][ed ] -> [produced ] 8570 +[south][western ] -> [southwestern ] 8571 +[br][anch ] -> [branch ] 8572 +[Man][ipur] -> [Manipur] 8573 +[Ar][tist] -> [Artist] 8574 +[play][er] -> [player] 8575 +[mach][ine ] -> [machine ] 8576 +[es ][at ] -> [es at ] 8577 +[F][ly] -> [Fly] 8578 +[Americ][ans ] -> [Americans ] 8579 +[H][ell] -> [Hell] 8580 +[refer ][to] -> [refer to] 8581 +[R][S] -> [RS] 8582 +[Sim][p] -> [Simp] 8583 +[ä][r] -> [är] 8584 +[pro][te] -> [prote] 8585 +[2 km || \u000a|-id=][0] -> [2 km || \u000a|-id=0] 8586 +[near][by ] -> [nearby ] 8587 +[Bu][ff] -> [Buff] 8588 +[sou][theast ] -> [southeast ] 8589 +[dist][ribu] -> [distribu] 8590 +[aw][a ] -> [awa ] 8591 +[J][ess] -> [Jess] 8592 +[\u000a\u000aReferences\u000a\u000aOther websit][es \u000a ] -> [\u000a\u000aReferences\u000a\u000aOther websites \u000a ] 8593 +[al][ong] -> [along] 8594 +[ment][, ] -> [ment, ] 8595 +[es ][on the ] -> [es on the ] 8596 +[Calv][ad] -> [Calvad] 8597 +[||rowspan="][5"|] -> [||rowspan="5"|] 8598 +[Imper][ial ] -> [Imperial ] 8599 +[on][ze ] -> [onze ] 8600 +[after ][a ] -> [after a ] 8601 +[. B][efore ] -> [. Before ] 8602 +[Com][mission] -> [Commission] 8603 +[us][ed] -> [used] 8604 +[Canad][a, ] -> [Canada, ] 8605 +[are][as] -> [areas] 8606 +[on ][December ] -> [on December ] 8607 +[s ][can ] -> [s can ] 8608 +[Dep][uty ] -> [Deputy ] 8609 +[veg][et] -> [veget] 8610 +[for ][their ] -> [for their ] 8611 +[Rog][er ] -> [Roger ] 8612 +[Premier ][League] -> [Premier League] 8613 +[s and ][other ] -> [s and other ] 8614 +[class][ical ] -> [classical ] 8615 +[Car][ib] -> [Carib] 8616 +[e][)\u000a] -> [e)\u000a] 8617 +[) ][was the ] -> [) was the ] 8618 +[-][born ] -> [-born ] 8619 +[L][eb] -> [Leb] 8620 +[ab][s] -> [abs] 8621 +[produc][t] -> [product] 8622 +[r][ay] -> [ray] 8623 +[Pi][err] -> [Pierr] 8624 +[b][it] -> [bit] 8625 +[F][el] -> [Fel] 8626 +[H][owever, ] -> [However, ] 8627 +[, 1997][ || ] -> [, 1997 || ] 8628 +[album][, ] -> [album, ] 8629 +[Commun][ist ] -> [Communist ] 8630 +[h][ood] -> [hood] 8631 +[fr][anch] -> [franch] 8632 +[det][ail] -> [detail] 8633 +[p][ick] -> [pick] 8634 +[R][av] -> [Rav] 8635 +[om][o] -> [omo] 8636 +[N][ot ] -> [Not ] 8637 +[one of the ][most ] -> [one of the most ] 8638 +[. ][U] -> [. U] 8639 +[B][A ] -> [BA ] 8640 +[. There ][were ] -> [. There were ] 8641 +[County is a county ][in the U.S. state of ] -> [County is a county in the U.S. state of ] 8642 +[sh][or] -> [shor] 8643 +[on ][March ] -> [on March ] 8644 +[) ][\u000a ] -> [) \u000a ] 8645 +[Yug][oslav] -> [Yugoslav] 8646 +[u][th] -> [uth] 8647 +[say][s ] -> [says ] 8648 +[an ][important ] -> [an important ] 8649 +[n][ob] -> [nob] 8650 +[s of ][a ] -> [s of a ] 8651 +[Rail][way ] -> [Railway ] 8652 +[\u000a\u000a|-][bgcolor=#] -> [\u000a\u000a|-bgcolor=#] 8653 +[Ph][illi] -> [Philli] 8654 +[ ][\u000a ] -> [ \u000a ] 8655 +[u][tive ] -> [utive ] 8656 +[prov][ide ] -> [provide ] 8657 +[me][et ] -> [meet ] 8658 +[17][6] -> [176] 8659 +[not][able ] -> [notable ] 8660 +[. They ][also ] -> [. They also ] 8661 +[-][0] -> [-0] 8662 +[ea][u ] -> [eau ] 8663 +[Fin][land] -> [Finland] 8664 +[tim][e. ] -> [time. ] 8665 +[cas][e ] -> [case ] 8666 +[ad][or ] -> [ador ] 8667 +[fi][x] -> [fix] 8668 +[among ][the ] -> [among the ] 8669 +[14][0] -> [140] 8670 +[ births\u000a201][4 ] -> [ births\u000a2014 ] 8671 +[less ][than ] -> [less than ] 8672 +[direc][t ] -> [direct ] 8673 +[Bruc][e ] -> [Bruce ] 8674 +[Ep][isod] -> [Episod] 8675 +[World ][Heritage ] -> [World Heritage ] 8676 +[s][)\u000a ] -> [s)\u000a ] 8677 +[z][h] -> [zh] 8678 +[rap][p] -> [rapp] 8679 +[or][ph] -> [orph] 8680 +[reg][n] -> [regn] 8681 +[š][n] -> [šn] 8682 +[used ][as a ] -> [used as a ] 8683 +[pro][ject ] -> [project ] 8684 +[Bel][ar] -> [Belar] 8685 +[Vo][ic] -> [Voic] 8686 +[Th][ail] -> [Thail] 8687 +[J][av] -> [Jav] 8688 +[con][ven] -> [conven] 8689 +[á][n ] -> [án ] 8690 +[oc][rac] -> [ocrac] 8691 +[197][3 ] -> [1973 ] 8692 +[. ][People ] -> [. People ] 8693 +[Ber][lin ] -> [Berlin ] 8694 +[dis][ord] -> [disord] 8695 +[plan][et] -> [planet] 8696 +[UK][ M] -> [UK M] 8697 +[Soviet ][Union] -> [Soviet Union] 8698 +[mic][ro] -> [micro] 8699 +[po][or ] -> [poor ] 8700 +[word][s ] -> [words ] 8701 +[on][es ] -> [ones ] 8702 +[FLO][ || align=right | 2.] -> [FLO || align=right | 2.] 8703 +[R][id] -> [Rid] 8704 +[201][7 - ] -> [2017 - ] 8705 +[.][D] -> [.D] 8706 +[Gen][er] -> [Gener] 8707 +[ births\u000a][Living people] -> [ births\u000aLiving people] 8708 +[inter][est ] -> [interest ] 8709 +[thous][and] -> [thousand] 8710 +[Man][hatt] -> [Manhatt] 8711 +[�][�] -> [ă] 8712 +[exec][ut] -> [execut] 8713 +[i][als ] -> [ials ] 8714 +[Pakist][ani ] -> [Pakistani ] 8715 +[stat][es ] -> [states ] 8716 +[con][centr] -> [concentr] 8717 +[pri][mar] -> [primar] 8718 +[Z][e] -> [Ze] 8719 +[T][own ] -> [Town ] 8720 +[allow][ed to ] -> [allowed to ] 8721 +[flow][s ] -> [flows ] 8722 +["][B] -> ["B] 8723 +[L][a L] -> [La L] 8724 +[east ][of ] -> [east of ] 8725 +[P][-L] -> [P-L] 8726 +[reas][on ] -> [reason ] 8727 +[N][at] -> [Nat] 8728 +[Alb][an] -> [Alban] 8729 +[medal][ists\u000a] -> [medalists\u000a] 8730 +[19][12] -> [1912] 8731 +[3 km || \u000a|-id=][0] -> [3 km || \u000a|-id=0] 8732 +[cour][s] -> [cours] 8733 +[UK M][Ps ] -> [UK MPs ] 8734 +[D][ig] -> [Dig] 8735 +[ed][on] -> [edon] 8736 +[n][in] -> [nin] 8737 +[television ][present] -> [television present] 8738 +[bel][ow ] -> [below ] 8739 +[1960][ || Palomar || PLS] -> [1960 || Palomar || PLS] 8740 +[song][s ] -> [songs ] 8741 +[t][arg] -> [targ] 8742 +[Jes][us ] -> [Jesus ] 8743 +[Nep][al] -> [Nepal] 8744 +[ed ][or ] -> [ed or ] 8745 +[il][le] -> [ille] 8746 +[soldi][ers ] -> [soldiers ] 8747 +[.\u000a\u000a][ ] -> [.\u000a\u000a ] 8748 +[Th][ird ] -> [Third ] 8749 +[complet][ely ] -> [completely ] 8750 +[L][ine ] -> [Line ] 8751 +[serv][ed as the ] -> [served as the ] 8752 +[fin][ally ] -> [finally ] 8753 +[p][ack] -> [pack] 8754 +[and ][is ] -> [and is ] 8755 +[Ab][out ] -> [About ] 8756 +[expl][os] -> [explos] 8757 +[com][ing ] -> [coming ] 8758 +[min][or ] -> [minor ] 8759 +[descri][be ] -> [describe ] 8760 +[d][ance ] -> [dance ] 8761 +[, 2003][ || Socorro || LINEAR || ] -> [, 2003 || Socorro || LINEAR || ] 8762 +[)][. He ] -> [). He ] 8763 +[197][7 ] -> [1977 ] 8764 +[D][a] -> [Da] 8765 +[name ][of the ] -> [name of the ] 8766 +[M][ap] -> [Map] 8767 +[S][in] -> [Sin] 8768 +[rather ][than ] -> [rather than ] 8769 +[on ][April ] -> [on April ] 8770 +[o][j] -> [oj] 8771 +[m][m ] -> [mm ] 8772 +[ bgcolor=#fefefe\u000a| ][5] -> [ bgcolor=#fefefe\u000a| 5] 8773 +[name ][was ] -> [name was ] 8774 +[str][at] -> [strat] 8775 +[Ottom][an ] -> [Ottoman ] 8776 +[25][0] -> [250] 8777 +[ro][v] -> [rov] 8778 +[sequ][el ] -> [sequel ] 8779 +[Victor][ia ] -> [Victoria ] 8780 +[Rel][ig] -> [Relig] 8781 +[electr][ic] -> [electric] 8782 +[1][ (] -> [1 (] 8783 +[s][. These ] -> [s. These ] 8784 +[s][we] -> [swe] 8785 +[cour][t] -> [court] 8786 +[on][e-] -> [one-] 8787 +[S][n] -> [Sn] 8788 +[Con][n] -> [Conn] 8789 +[f][t] -> [ft] 8790 +[I][v] -> [Iv] 8791 +[award][ed the ] -> [awarded the ] 8792 +[2][ bgcolor=#fefefe\u000a| 1] -> [2 bgcolor=#fefefe\u000a| 1] 8793 +[eb][re] -> [ebre] 8794 +[day][, ] -> [day, ] 8795 +[run][s ] -> [runs ] 8796 +[her][b] -> [herb] 8797 +[in][ary ] -> [inary ] 8798 +[, 201][4] -> [, 2014] 8799 +[, 200][9] -> [, 2009] 8800 +[ne][y, ] -> [ney, ] 8801 +[Florid][a ] -> [Florida ] 8802 +[or][m] -> [orm] 8803 +[19][16] -> [1916] 8804 +[.\u000a\u000a][Club career statistics\u000a\u000a|-\u000a|] -> [.\u000a\u000aClub career statistics\u000a\u000a|-\u000a|] 8805 +[Or][thod] -> [Orthod] 8806 +[form][ed ] -> [formed ] 8807 +[, which ][was ] -> [, which was ] 8808 +[norm][ally ] -> [normally ] 8809 +[go ][to ] -> [go to ] 8810 +[hosp][ital] -> [hospital] 8811 +[seri][es, ] -> [series, ] 8812 +[Jam][a] -> [Jama] 8813 +[Fil][ip] -> [Filip] 8814 +[campa][ign] -> [campaign] 8815 +[Los Angel][es\u000a] -> [Los Angeles\u000a] 8816 +[ || — || align=right | ][7.] -> [ || — || align=right | 7.] 8817 +[til][l] -> [till] 8818 +[, but ][the ] -> [, but the ] 8819 +[r][as] -> [ras] 8820 +[190][0 ] -> [1900 ] 8821 +[d][a ] -> [da ] 8822 +[comp][any] -> [company] 8823 +[ ][K] -> [ K] 8824 +[(][) is a ] -> [() is a ] 8825 +[El][ect] -> [Elect] 8826 +[e][; ] -> [e; ] 8827 +[gener][al] -> [general] 8828 +[Afric][a] -> [Africa] 8829 +[th][ers ] -> [thers ] 8830 +[U][T] -> [UT] 8831 +[n][ut] -> [nut] 8832 +[m][ill] -> [mill] 8833 +[re][y ] -> [rey ] 8834 +[s ][at the ] -> [s at the ] 8835 +[v][ision ] -> [vision ] 8836 +[berg][, ] -> [berg, ] 8837 +[mot][or] -> [motor] 8838 +[came ][to ] -> [came to ] 8839 +[Philipp][in] -> [Philippin] 8840 +[m][orn] -> [morn] 8841 +[stri][p] -> [strip] 8842 +[ti][st ] -> [tist ] 8843 +[ig][in ] -> [igin ] 8844 +[16][6] -> [166] 8845 +[af][ter] -> [after] 8846 +[192][4] -> [1924] 8847 +[ith][uan] -> [ithuan] 8848 +["][ by ] -> [" by ] 8849 +[C][av] -> [Cav] 8850 +[Gre][ek] -> [Greek] 8851 +[y][t] -> [yt] 8852 +[Formula ][One ] -> [Formula One ] 8853 +[ km || ][\u000a|}\u000a\u000a] -> [ km || \u000a|}\u000a\u000a] 8854 +[2][ bgcolor=#E9E9E9\u000a| 1] -> [2 bgcolor=#E9E9E9\u000a| 1] 8855 +[adv][anc] -> [advanc] 8856 +[hor][s] -> [hors] 8857 +[Sci][ence ] -> [Science ] 8858 +[Canadian ][ice hockey ] -> [Canadian ice hockey ] 8859 +[11][ km || \u000a|-id=] -> [11 km || \u000a|-id=] 8860 +[El][ection ] -> [Election ] 8861 +[.\u000a\u000aS][he ] -> [.\u000a\u000aShe ] 8862 +[ ][from ] -> [ from ] 8863 +[tal][k] -> [talk] 8864 +[South ][Korea] -> [South Korea] 8865 +[Ron][ald ] -> [Ronald ] 8866 +[Ac][c] -> [Acc] 8867 +[chann][el] -> [channel] 8868 +[. A][s a ] -> [. As a ] 8869 +[Th][er] -> [Ther] 8870 +[marri][age ] -> [marriage ] 8871 +[bo][y ] -> [boy ] 8872 +[4 km || \u000a|-id=][0] -> [4 km || \u000a|-id=0] 8873 +[ref][erenc] -> [referenc] 8874 +[found][er of ] -> [founder of ] 8875 +[6 km || \u000a|-id=][0] -> [6 km || \u000a|-id=0] 8876 +[I][mp] -> [Imp] 8877 +[196][9 ] -> [1969 ] 8878 +[fl][ood] -> [flood] 8879 +[din][osaur] -> [dinosaur] 8880 +[receiv][ed the ] -> [received the ] 8881 +[st][an] -> [stan] 8882 +[d][anger] -> [danger] 8883 +[Mod][ern ] -> [Modern ] 8884 +[L][es] -> [Les] 8885 +[year-][old ] -> [year-old ] 8886 +[b][ound] -> [bound] 8887 +[||1][||1] -> [||1||1] 8888 +[T][on] -> [Ton] 8889 +[feature][s ] -> [features ] 8890 +[to ][do ] -> [to do ] 8891 +[Bur][n] -> [Burn] 8892 +[C][C] -> [CC] 8893 +[az][z] -> [azz] 8894 +[h][ill] -> [hill] 8895 +[ing][s of ] -> [ings of ] 8896 +[Carib][be] -> [Caribbe] 8897 +[. However, ][the ] -> [. However, the ] 8898 +[Golden ][Glob] -> [Golden Glob] 8899 +[Georg][ia] -> [Georgia] 8900 +[i]['s ] -> [i's ] 8901 +[cal][cul] -> [calcul] 8902 +[con][nec] -> [connec] 8903 +[fem][in] -> [femin] 8904 +[ity ][in ] -> [ity in ] 8905 +[ism][, ] -> [ism, ] 8906 +[man][n] -> [mann] 8907 +[proc][ess ] -> [process ] 8908 +[Jan][e ] -> [Jane ] 8909 +[st][adium ] -> [stadium ] 8910 +[or ][more ] -> [or more ] 8911 +[anc][ell] -> [ancell] 8912 +[f][ly ] -> [fly ] 8913 +[us][ed the ] -> [used the ] 8914 +[Ma][x ] -> [Max ] 8915 +[L][ong] -> [Long] 8916 +[muse][um ] -> [museum ] 8917 +[peopl][e of ] -> [people of ] 8918 +[d ][and ] -> [d and ] 8919 +[pro][ve ] -> [prove ] 8920 +[event][s\u000a] -> [events\u000a] 8921 +[Cl][int] -> [Clint] 8922 +[partic][ular ] -> [particular ] 8923 +[her][o] -> [hero] 8924 +[B][and] -> [Band] 8925 +[Fam][il] -> [Famil] 8926 +[com][es from ] -> [comes from ] 8927 +[car][bon ] -> [carbon ] 8928 +[ins][ect] -> [insect] 8929 +[Institut][e of ] -> [Institute of ] 8930 +[problems ][caused by ] -> [problems caused by ] 8931 +[used ][in the ] -> [used in the ] 8932 +[organiz][ation ] -> [organization ] 8933 +[way ][of ] -> [way of ] 8934 +[dig][ital ] -> [digital ] 8935 +[B][ank] -> [Bank] 8936 +[character][s ] -> [characters ] 8937 +[Alab][am] -> [Alabam] 8938 +[tournam][ent] -> [tournament] 8939 +[sur][face ] -> [surface ] 8940 +[thre][at] -> [threat] 8941 +[Grand ][Pri] -> [Grand Pri] 8942 +[en][burg] -> [enburg] 8943 +[Freder][ick ] -> [Frederick ] 8944 +[o][is] -> [ois] 8945 +[D][anc] -> [Danc] 8946 +[C][all] -> [Call] 8947 +[M][L] -> [ML] 8948 +[f][ing] -> [fing] 8949 +[R][ud] -> [Rud] 8950 +[Bo][y ] -> [Boy ] 8951 +[or][i ] -> [ori ] 8952 +[made up ][of ] -> [made up of ] 8953 +[c][arry ] -> [carry ] 8954 +[D][er] -> [Der] 8955 +[bas][ic ] -> [basic ] 8956 +[Common][weal] -> [Commonweal] 8957 +[F][ut] -> [Fut] 8958 +[includ][e the ] -> [include the ] 8959 +[del][iv] -> [deliv] 8960 +[stopp][ed ] -> [stopped ] 8961 +[Dur][ing ] -> [During ] 8962 +[N][apol] -> [Napol] 8963 +[K][im ] -> [Kim ] 8964 +[B][h] -> [Bh] 8965 +[. Dur][ing ] -> [. During ] 8966 +[M][emorial ] -> [Memorial ] 8967 +[with ][her ] -> [with her ] 8968 +[w][er] -> [wer] 8969 +[W][ill ] -> [Will ] 8970 +[197][1 ] -> [1971 ] 8971 +[ress][ional ] -> [ressional ] 8972 +[ b][el] -> [ bel] 8973 +[O][ak] -> [Oak] 8974 +[each ][other ] -> [each other ] 8975 +[above ][sea level] -> [above sea level] 8976 +[raf][t ] -> [raft ] 8977 +[nor][th-] -> [north-] 8978 +[b][ow] -> [bow] 8979 +[Phil][ip ] -> [Philip ] 8980 +[oc][cas] -> [occas] 8981 +[der][iv] -> [deriv] 8982 +[Bo][ard ] -> [Board ] 8983 +[P][ed] -> [Ped] 8984 +[Mississipp][i] -> [Mississippi] 8985 +[e, ][or ] -> [e, or ] 8986 +[requ][ir] -> [requir] 8987 +[Record][s\u000a ] -> [Records\u000a ] 8988 +[ann][y ] -> [anny ] 8989 +[19][13] -> [1913] 8990 +[5 km || \u000a|-id=][0] -> [5 km || \u000a|-id=0] 8991 +[. J][. B] -> [. J. B] 8992 +[pre][par] -> [prepar] 8993 +[con][vict] -> [convict] 8994 +[st][anc] -> [stanc] 8995 +[gu][il] -> [guil] 8996 +[Award ][winners\u000a] -> [Award winners\u000a] 8997 +[tim][e.\u000a\u000a] -> [time.\u000a\u000a] 8998 +[s. ][A ] -> [s. A ] 8999 +[Frog][s of ] -> [Frogs of ] 9000 +[ing][s\u000a] -> [ings\u000a] 9001 +[er][. He was ] -> [er. He was ] 9002 +[E][N] -> [EN] 9003 +[. S][h] -> [. Sh] 9004 +[C][D ] -> [CD ] 9005 +[sil][ent ] -> [silent ] 9006 +[M][ore ] -> [More ] 9007 +[vol][leyball ] -> [volleyball ] 9008 +[ated ][the ] -> [ated the ] 9009 +[Ad][am ] -> [Adam ] 9010 +[f][air] -> [fair] 9011 +[s ][is a ] -> [s is a ] 9012 +[ap][prov] -> [approv] 9013 +[ant][ine ] -> [antine ] 9014 +[for ]["] -> [for "] 9015 +[caus][es ] -> [causes ] 9016 +[cust][om] -> [custom] 9017 +[exp][ect] -> [expect] 9018 +[per][man] -> [perman] 9019 +[�][�] -> [р] 9020 +[193][1] -> [1931] 9021 +[because ][they ] -> [because they ] 9022 +[tr][aff] -> [traff] 9023 +[1 km || \u000a|-id=][0] -> [1 km || \u000a|-id=0] 9024 +[M][ach] -> [Mach] 9025 +[t][able ] -> [table ] 9026 +[weap][on] -> [weapon] 9027 +[.\u000a\u000aHistor][y\u000a] -> [.\u000a\u000aHistory\u000a] 9028 +[ter][ritory ] -> [territory ] 9029 +[develop][ed ] -> [developed ] 9030 +[a][o ] -> [ao ] 9031 +[stat][es] -> [states] 9032 +[B][rown] -> [Brown] 9033 +[le][agu] -> [leagu] 9034 +[resp][ond] -> [respond] 9035 +[y][l ] -> [yl ] 9036 +[re][ach ] -> [reach ] 9037 +[ul][a ] -> [ula ] 9038 +[�][�] -> [‘] 9039 +[organ][ism] -> [organism] 9040 +[r][al] -> [ral] 9041 +[long][-] -> [long-] 9042 +[Atl][anti] -> [Atlanti] 9043 +[sk][ill] -> [skill] 9044 +[eff][ect ] -> [effect ] 9045 +[heart ][failure] -> [heart failure] 9046 +[19][th centur] -> [19th centur] 9047 +[thoug][h] -> [though] 9048 +[Univers][ity, ] -> [University, ] 9049 +[Soviet ][Union ] -> [Soviet Union ] 9050 +[tem][pl] -> [templ] 9051 +[for ][its ] -> [for its ] 9052 +[N][ichol] -> [Nichol] 9053 +[es ][to the ] -> [es to the ] 9054 +[Liv][er] -> [Liver] 9055 +[1][10] -> [110] 9056 +[, ][C] -> [, C] 9057 +[1][20] -> [120] 9058 +[ph][er] -> [pher] 9059 +[-][sur-] -> [-sur-] 9060 +[N][el] -> [Nel] 9061 +[, M][ich] -> [, Mich] 9062 +[rais][ed in ] -> [raised in ] 9063 +[in][side ] -> [inside ] 9064 +[P][S] -> [PS] 9065 +[Pr][o ] -> [Pro ] 9066 +[Fur][ther ] -> [Further ] 9067 +[Ch][ang] -> [Chang] 9068 +[i][k ] -> [ik ] 9069 +[Commun][es of the ] -> [Communes of the ] 9070 +[d][edic] -> [dedic] 9071 +[temper][atur] -> [temperatur] 9072 +[Me][it] -> [Meit] 9073 +[movies\u000aMovies ][based on ] -> [movies\u000aMovies based on ] 9074 +[oc][curr] -> [occurr] 9075 +[Bro][s. ] -> [Bros. ] 9076 +[p][up] -> [pup] 9077 +[Bu][en] -> [Buen] 9078 +[people ][(] -> [people (] 9079 +[man ][(] -> [man (] 9080 +[2][ bgcolor=#d6d6d6\u000a| ] -> [2 bgcolor=#d6d6d6\u000a| ] 9081 +[im][a ] -> [ima ] 9082 +[D][at] -> [Dat] 9083 +[Ord][er of ] -> [Order of ] 9084 +[seas][on, ] -> [season, ] 9085 +[is a commun][e in the ] -> [is a commune in the ] 9086 +[who ][were ] -> [who were ] 9087 +[5][ bgcolor=#fefefe\u000a| ] -> [5 bgcolor=#fefefe\u000a| ] 9088 +[G][or] -> [Gor] 9089 +[web][ ] -> [web ] 9090 +[– ][The ] -> [– The ] 9091 +[th][at, ] -> [that, ] 9092 +[m][ang] -> [mang] 9093 +[4][ bgcolor=#E9E9E9\u000a| ] -> [4 bgcolor=#E9E9E9\u000a| ] 9094 +[od][g] -> [odg] 9095 +[Pro][test] -> [Protest] 9096 +[c][orn] -> [corn] 9097 +[ell][a ] -> [ella ] 9098 +[featur][ing ] -> [featuring ] 9099 +[T][ol] -> [Tol] 9100 +[mov][ing ] -> [moving ] 9101 +[H][em] -> [Hem] 9102 +[football][ers] -> [footballers] 9103 +[re][li] -> [reli] 9104 +[play][ed in ] -> [played in ] 9105 +[dom][es] -> [domes] 9106 +[2][–] -> [2–] 9107 +[icip][al ] -> [icipal ] 9108 +[el][ and ] -> [el and ] 9109 +[i][mer] -> [imer] 9110 +[L][ar] -> [Lar] 9111 +[drama ][movies\u000aAmerican ] -> [drama movies\u000aAmerican ] 9112 +[sid][e of ] -> [side of ] 9113 +[L][es ] -> [Les ] 9114 +[and][o ] -> [ando ] 9115 +[)][.\u000a\u000aThe ] -> [).\u000a\u000aThe ] 9116 +[Roman ][Cathol] -> [Roman Cathol] 9117 +[Cap][e ] -> [Cape ] 9118 +[, 2000][ || ] -> [, 2000 || ] 9119 +[fath][er, ] -> [father, ] 9120 +[requ][ire] -> [require] 9121 +[er][ve ] -> [erve ] 9122 +[Wiki][pedi] -> [Wikipedi] 9123 +[am][ount ] -> [amount ] 9124 +[Co][ast ] -> [Coast ] 9125 +[tournam][ent ] -> [tournament ] 9126 +[us][ual ] -> [usual ] 9127 +[h][un] -> [hun] 9128 +[movi][e, ] -> [movie, ] 9129 +[Pol][and ] -> [Poland ] 9130 +[h][ead of ] -> [head of ] 9131 +[after ][his ] -> [after his ] 9132 +[ext][rem] -> [extrem] 9133 +[fut][ure ] -> [future ] 9134 +[Dougl][as ] -> [Douglas ] 9135 +[Wal][t ] -> [Walt ] 9136 +[iv][al] -> [ival] 9137 +[out][side ] -> [outside ] 9138 +[�][�] -> [ë] 9139 +[j][ob ] -> [job ] 9140 +[em][o] -> [emo] 9141 +[ant][, ] -> [ant, ] 9142 +[ap][s] -> [aps] 9143 +[. ][St] -> [. St] 9144 +[Med][ical ] -> [Medical ] 9145 +[es, ][but ] -> [es, but ] 9146 +[in the ][world] -> [in the world] 9147 +[Id][ah] -> [Idah] 9148 +[reg][ional ] -> [regional ] 9149 +[e-][related ] -> [e-related ] 9150 +[Republican ][Party (United States) ] -> [Republican Party (United States) ] 9151 +[ific][ation ] -> [ification ] 9152 +[. J. B][us ] -> [. J. Bus ] 9153 +[6][ bgcolor=#E9E9E9\u000a| ] -> [6 bgcolor=#E9E9E9\u000a| ] 9154 +[W][ater] -> [Water] 9155 +[dr][y ] -> [dry ] 9156 +[\u000a ][E] -> [\u000a E] 9157 +[becom][ing ] -> [becoming ] 9158 +[Med][it] -> [Medit] 9159 +[b][ank ] -> [bank ] 9160 +[we][ek ] -> [week ] 9161 +[open][ed in ] -> [opened in ] 9162 +[5][,] -> [5,] 9163 +[Os][ak] -> [Osak] 9164 +[at][es] -> [ates] 9165 +[only ][one ] -> [only one ] 9166 +[team][s ] -> [teams ] 9167 +[bor][der] -> [border] 9168 +[d][ark ] -> [dark ] 9169 +[2021][) was a ] -> [2021) was a ] 9170 +[ing ][on the ] -> [ing on the ] 9171 +[Cent][er ] -> [Center ] 9172 +[Ch][e] -> [Che] 9173 +[Chicag][o\u000a] -> [Chicago\u000a] 9174 +[a][uc] -> [auc] 9175 +[Am][az] -> [Amaz] 9176 +[M][ong] -> [Mong] 9177 +[201][3, ] -> [2013, ] 9178 +[an ][un] -> [an un] 9179 +[On][ly ] -> [Only ] 9180 +[. T][w] -> [. Tw] 9181 +[is][ed ] -> [ised ] 9182 +[�][�] -> [�] 9183 +[philos][opher ] -> [philosopher ] 9184 +[mur][d] -> [murd] 9185 +[it]['s ] -> [it's ] 9186 +[reg][ist] -> [regist] 9187 +[av][i] -> [avi] 9188 +[earli][er ] -> [earlier ] 9189 +[Fr][on] -> [Fron] 9190 +[Cong][ress ] -> [Congress ] 9191 +[B][en ] -> [Ben ] 9192 +[South ][America] -> [South America] 9193 +[\u000a][On ] -> [\u000aOn ] 9194 +[in][stitu] -> [institu] 9195 +[Viet][nam ] -> [Vietnam ] 9196 +[accord][ing to ] -> [according to ] 9197 +[se][g] -> [seg] 9198 +[m][ut] -> [mut] 9199 +[, 2003][ || Palomar || NEAT] -> [, 2003 || Palomar || NEAT] 9200 +[years ][ago] -> [years ago] 9201 +[earli][est ] -> [earliest ] 9202 +[symp][tom] -> [symptom] 9203 +[Sh][r] -> [Shr] 9204 +[au][x] -> [aux] 9205 +[ed][ral ] -> [edral ] 9206 +[, 1999 || Socorro || LINEAR || — || align=right | ][3.] -> [, 1999 || Socorro || LINEAR || — || align=right | 3.] 9207 +[y][ellow ] -> [yellow ] 9208 +[spl][it ] -> [split ] 9209 +[NYS][ || align=right | 2.] -> [NYS || align=right | 2.] 9210 +[in ][K] -> [in K] 9211 +[Ro][ad] -> [Road] 9212 +[h][unt] -> [hunt] 9213 +[m][om] -> [mom] 9214 +[4][th ] -> [4th ] 9215 +[eng][u] -> [engu] 9216 +[anc][y ] -> [ancy ] 9217 +[ob][ject ] -> [object ] 9218 +[Philadelph][ia ] -> [Philadelphia ] 9219 +[C][os] -> [Cos] 9220 +[f][res] -> [fres] 9221 +[opp][on] -> [oppon] 9222 +[attemp][t] -> [attempt] 9223 +[Sen][ator ] -> [Senator ] 9224 +[Rel][eas] -> [Releas] 9225 +[W][ond] -> [Wond] 9226 +[ay ][(] -> [ay (] 9227 +[C][S] -> [CS] 9228 +[Scot][land ] -> [Scotland ] 9229 +[spir][it] -> [spirit] 9230 +[w][as] -> [was] 9231 +[P][in] -> [Pin] 9232 +[L][ast ] -> [Last ] 9233 +[ch][ester] -> [chester] 9234 +[had ][the ] -> [had the ] 9235 +[w][in the ] -> [win the ] 9236 +[Official websit][e\u000a\u000a] -> [Official website\u000a\u000a] 9237 +[stud][ent ] -> [student ] 9238 +[iz][z] -> [izz] 9239 +[on ][to ] -> [on to ] 9240 +[tri][es to ] -> [tries to ] 9241 +[\u000a][G] -> [\u000aG] 9242 +[Pers][ian ] -> [Persian ] 9243 +[Al][fred ] -> [Alfred ] 9244 +[Pol][ice ] -> [Police ] 9245 +[Brook][ly] -> [Brookly] 9246 +[V][anc] -> [Vanc] 9247 +[activ][ist] -> [activist] 9248 +[B][illy ] -> [Billy ] 9249 +[5 ][deaths\u000a] -> [5 deaths\u000a] 9250 +[ births\u000a2019 ][deaths\u000a] -> [ births\u000a2019 deaths\u000a] 9251 +[assist][ant ] -> [assistant ] 9252 +[H][an] -> [Han] 9253 +[sub][ject] -> [subject] 9254 +[Afric][an-American ] -> [African-American ] 9255 +[it ][(] -> [it (] 9256 +[L][ong ] -> [Long ] 9257 +[Go][og] -> [Goog] 9258 +[Rob][in] -> [Robin] 9259 +[N][um] -> [Num] 9260 +[charact][ers] -> [characters] 9261 +[Lad][y ] -> [Lady ] 9262 +[high][ly ] -> [highly ] 9263 +[is the ][second ] -> [is the second ] 9264 +[rol][es in ] -> [roles in ] 9265 +[w][ind ] -> [wind ] 9266 +[3][ bgcolor=#E9E9E9\u000a| 1] -> [3 bgcolor=#E9E9E9\u000a| 1] 9267 +[ri][b] -> [rib] 9268 +[direct][or, ] -> [director, ] 9269 +[H][ow ] -> [How ] 9270 +[197][0s ] -> [1970s ] 9271 +[\u000a\u000aReferences\u000a\u000aOther websites\u000a ][\u000a\u000a] -> [\u000a\u000aReferences\u000a\u000aOther websites\u000a \u000a\u000a] 9272 +[ism ][and ] -> [ism and ] 9273 +[god][des] -> [goddes] 9274 +[ti][s ] -> [tis ] 9275 +[1][ bgcolor=#fefefe\u000a| 1] -> [1 bgcolor=#fefefe\u000a| 1] 9276 +[for ][her ] -> [for her ] 9277 +[Ph][ot] -> [Phot] 9278 +[most ][common ] -> [most common ] 9279 +[Ad][v] -> [Adv] 9280 +[P][ad] -> [Pad] 9281 +[A][G] -> [AG] 9282 +[f][un] -> [fun] 9283 +[vic][tim] -> [victim] 9284 +[Bas][eball ] -> [Baseball ] 9285 +[addi][tional ] -> [additional ] 9286 +[en][\u000a ] -> [en\u000a ] 9287 +[newspap][er ] -> [newspaper ] 9288 +[writ][er (d. ] -> [writer (d. ] 9289 +[D][y] -> [Dy] 9290 +[it][ar ] -> [itar ] 9291 +[z][en ] -> [zen ] 9292 +[ag][h] -> [agh] 9293 +[a ][large ] -> [a large ] 9294 +[i][ent] -> [ient] 9295 +[qu][art] -> [quart] 9296 +[1][ bgcolor=#E9E9E9\u000a| 1] -> [1 bgcolor=#E9E9E9\u000a| 1] 9297 +[.com][/] -> [.com/] 9298 +[Lib][eral ] -> [Liberal ] 9299 +[in ][The ] -> [in The ] 9300 +[196][6 ] -> [1966 ] 9301 +[in ][this ] -> [in this ] 9302 +[or][f] -> [orf] 9303 +[lo][ad] -> [load] 9304 +[Carl][os ] -> [Carlos ] 9305 +[r][ati] -> [rati] 9306 +[famil][ies ] -> [families ] 9307 +[–][18] -> [–18] 9308 +[equ][ip] -> [equip] 9309 +[P][ass] -> [Pass] 9310 +[leng][th ] -> [length ] 9311 +[pol][o ] -> [polo ] 9312 +[En][d] -> [End] 9313 +[Cret][ace] -> [Cretace] 9314 +[, ][British ] -> [, British ] 9315 +[mon][ey] -> [money] 9316 +[lef][t] -> [left] 9317 +[dea][th of ] -> [death of ] 9318 +[F][le] -> [Fle] 9319 +[tri][al ] -> [trial ] 9320 +[inst][all] -> [install] 9321 +[k][ov] -> [kov] 9322 +[ro][d] -> [rod] 9323 +[air][port ] -> [airport ] 9324 +[u][ and ] -> [u and ] 9325 +[c][um] -> [cum] 9326 +[text][-] -> [text-] 9327 +[O][ver ] -> [Over ] 9328 +[Iow][a] -> [Iowa] 9329 +[Prime Minist][er ] -> [Prime Minister ] 9330 +[re][pe] -> [repe] 9331 +[O][bl] -> [Obl] 9332 +[ion][e] -> [ione] 9333 +[ey ][(] -> [ey (] 9334 +[football][er (] -> [footballer (] 9335 +[educ][ation ] -> [education ] 9336 +[T][ig] -> [Tig] 9337 +[er][: ] -> [er: ] 9338 +[. As of the ][2020 census] -> [. As of the 2020 census] 9339 +[allow][s ] -> [allows ] 9340 +[ic][s] -> [ics] 9341 +[long][est ] -> [longest ] 9342 +[Pres][s, ] -> [Press, ] 9343 +[, 201][5] -> [, 2015] 9344 +[ff][ ] -> [ff ] 9345 +[Kar][l ] -> [Karl ] 9346 +[, 201][0] -> [, 2010] 9347 +[because ][it ] -> [because it ] 9348 +[numb][ers ] -> [numbers ] 9349 +[histor][ic ] -> [historic ] 9350 +[T][u] -> [Tu] 9351 +[people ][and ] -> [people and ] 9352 +[igen][ous ] -> [igenous ] 9353 +[8][0 ] -> [80 ] 9354 +[writ][er (b. ] -> [writer (b. ] 9355 +[Lib][er] -> [Liber] 9356 +[) ][to ] -> [) to ] 9357 +[. ][One ] -> [. One ] 9358 +[includ][es the ] -> [includes the ] 9359 +[Eth][iop] -> [Ethiop] 9360 +[St][ory ] -> [Story ] 9361 +[-][S] -> [-S] 9362 +[GE][F] -> [GEF] 9363 +[)][. ] -> [). ] 9364 +[Prime Minist][ers of ] -> [Prime Ministers of ] 9365 +[t][ext ] -> [text ] 9366 +[In][n] -> [Inn] 9367 +[�][�] -> [Ö] 9368 +[�][�] -> [�] 9369 +[United Kingdom][\u000a] -> [United Kingdom\u000a] 9370 +[ul][s] -> [uls] 9371 +[h][op ] -> [hop ] 9372 +[six][th ] -> [sixth ] 9373 +[se][em] -> [seem] 9374 +[c][ost ] -> [cost ] 9375 +[Net][work ] -> [Network ] 9376 +[prev][ent ] -> [prevent ] 9377 +[tion ][in ] -> [tion in ] 9378 +[Georg][ia (] -> [Georgia (] 9379 +[W][el] -> [Wel] 9380 +[financ][ial ] -> [financial ] 9381 +[en][ing ] -> [ening ] 9382 +[in][duc] -> [induc] 9383 +[y][weight ] -> [yweight ] 9384 +[establishments in ][Europe\u000a] -> [establishments in Europe\u000a] 9385 +[politician ][(d. ] -> [politician (d. ] 9386 +[t][un] -> [tun] 9387 +[Fin][al ] -> [Final ] 9388 +[New ][Hamp] -> [New Hamp] 9389 +[stage ][actors\u000aAmerican ] -> [stage actors\u000aAmerican ] 9390 +[Mount][ain ] -> [Mountain ] 9391 +[Jun][ior ] -> [Junior ] 9392 +[hug][e ] -> [huge ] 9393 +[Gab][ri] -> [Gabri] 9394 +[liv][ing in ] -> [living in ] 9395 +[m][and] -> [mand] 9396 +[in][side the ] -> [inside the ] 9397 +[contin][ue ] -> [continue ] 9398 +[Mad][rid] -> [Madrid] 9399 +[sist][er ] -> [sister ] 9400 +[ed][, the ] -> [ed, the ] 9401 +[ill][a ] -> [illa ] 9402 +[ain][e ] -> [aine ] 9403 +[o][pedi] -> [opedi] 9404 +[drug][ ] -> [drug ] 9405 +[e][. S] -> [e. S] 9406 +[Char][l] -> [Charl] 9407 +[fash][ion ] -> [fashion ] 9408 +[er][min] -> [ermin] 9409 +[Jean][-] -> [Jean-] 9410 +[S][us] -> [Sus] 9411 +[Law][y] -> [Lawy] 9412 +[F][em] -> [Fem] 9413 +[German][y\u000a] -> [Germany\u000a] 9414 +[tran][sport] -> [transport] 9415 +[this ][is ] -> [this is ] 9416 +[Nobel ][Prize in ] -> [Nobel Prize in ] 9417 +[un][ch ] -> [unch ] 9418 +[s][ess] -> [sess] 9419 +[17][4] -> [174] 9420 +[autom][obil] -> [automobil] 9421 +[Frank][lin ] -> [Franklin ] 9422 +[H][ ] -> [H ] 9423 +[\u000a ][195] -> [\u000a 195] 9424 +[201][5, ] -> [2015, ] 9425 +[ kil][omet] -> [ kilomet] 9426 +[E][ug] -> [Eug] 9427 +[R][ay ] -> [Ray ] 9428 +[so ][that ] -> [so that ] 9429 +[fi][el] -> [fiel] 9430 +[World War ][I] -> [World War I] 9431 +[ful][l] -> [full] 9432 +[j][ump] -> [jump] 9433 +[ || || — || January ][5] -> [ || || — || January 5] 9434 +[ograph][ical ] -> [ographical ] 9435 +[||1][||0||0] -> [||1||0||0] 9436 +[Op][en ] -> [Open ] 9437 +[C][aus] -> [Caus] 9438 +[h][at] -> [hat] 9439 +[Ap][pl] -> [Appl] 9440 +[from ][his ] -> [from his ] 9441 +[att][end] -> [attend] 9442 +[Official websit][e \u000a\u000a] -> [Official website \u000a\u000a] 9443 +[- ][The ] -> [- The ] 9444 +[ bgcolor=#d6d6d6\u000a| ][5] -> [ bgcolor=#d6d6d6\u000a| 5] 9445 +[Con][ven] -> [Conven] 9446 +[alum][ni] -> [alumni] 9447 +[sk][y] -> [sky] 9448 +[Ob][s. ] -> [Obs. ] 9449 +[in]['s ] -> [in's ] 9450 +[g][all] -> [gall] 9451 +[Ut][ah] -> [Utah] 9452 +[7][ bgcolor=#fefefe\u000a| 1] -> [7 bgcolor=#fefefe\u000a| 1] 9453 +[an ][American ] -> [an American ] 9454 +[Del][aw] -> [Delaw] 9455 +[Sal][z] -> [Salz] 9456 +[comedy ][movies\u000aAmerican ] -> [comedy movies\u000aAmerican ] 9457 +[err][an] -> [erran] 9458 +[S][-] -> [S-] 9459 +[ || || ][ || September ] -> [ || || || September ] 9460 +[ian][o ] -> [iano ] 9461 +[i][ć] -> [ić] 9462 +[dist][inc] -> [distinc] 9463 +[-d]['] -> [-d'] 9464 +[her][o ] -> [hero ] 9465 +[al][s, ] -> [als, ] 9466 +[comm][itt] -> [committ] 9467 +[Ch][er] -> [Cher] 9468 +[success][ful] -> [successful] 9469 +[7 km || \u000a|-id=][0] -> [7 km || \u000a|-id=0] 9470 +[, 201][8] -> [, 2018] 9471 +[ig][u] -> [igu] 9472 +[publish][ed by ] -> [published by ] 9473 +[201][4, ] -> [2014, ] 9474 +[im][medi] -> [immedi] 9475 +[||0||0][\u000a|-\u000a|] -> [||0||0\u000a|-\u000a|] 9476 +[fol][low ] -> [follow ] 9477 +[S][eg] -> [Seg] 9478 +[. It was ][the ] -> [. It was the ] 9479 +[S][ão ] -> [São ] 9480 +[par][ents ] -> [parents ] 9481 +[c][ard] -> [card] 9482 +[) ][of the ] -> [) of the ] 9483 +[London][\u000a] -> [London\u000a] 9484 +[ab][ly ] -> [ably ] 9485 +[ann][ual ] -> [annual ] 9486 +[y][ou] -> [you] 9487 +[partic][ularly ] -> [particularly ] 9488 +[fron][t ] -> [front ] 9489 +[set ][in the ] -> [set in the ] 9490 +[Ch][ief] -> [Chief] 9491 +[ib][il] -> [ibil] 9492 +[in B][avar] -> [in Bavar] 9493 +[ ][– ] -> [ – ] 9494 +[he][at ] -> [heat ] 9495 +[k ][of ] -> [k of ] 9496 +[||0][\u000a\u000a|-\u000a|] -> [||0\u000a\u000a|-\u000a|] 9497 +[f][oot] -> [foot] 9498 +[Ac][t ] -> [Act ] 9499 +[Harv][ard ] -> [Harvard ] 9500 +[in ][an ] -> [in an ] 9501 +[bur][y ] -> [bury ] 9502 +[Gir][ond] -> [Girond] 9503 +[F][err] -> [Ferr] 9504 +[serv][ing ] -> [serving ] 9505 +[a][x ] -> [ax ] 9506 +[lif][e and ] -> [life and ] 9507 +[i ][K] -> [i K] 9508 +[voic][ed by ] -> [voiced by ] 9509 +[Detro][it ] -> [Detroit ] 9510 +[bi][o] -> [bio] 9511 +[Conserv][ative ] -> [Conservative ] 9512 +[New][s ] -> [News ] 9513 +[Vanc][ou] -> [Vancou] 9514 +[ar][m ] -> [arm ] 9515 +[ph][ere ] -> [phere ] 9516 +[it][self] -> [itself] 9517 +[ent][er ] -> [enter ] 9518 +[F][T] -> [FT] 9519 +[ate ][and ] -> [ate and ] 9520 +[movie ][director] -> [movie director] 9521 +[continu][ed to ] -> [continued to ] 9522 +[COVID-19 pandem][ic ] -> [COVID-19 pandemic ] 9523 +[in][struc] -> [instruc] 9524 +[og][g] -> [ogg] 9525 +[word ]["] -> [word "] 9526 +[neg][ative ] -> [negative ] 9527 +[. M][c] -> [. Mc] 9528 +[8][ bgcolor=#fefefe\u000a| ] -> [8 bgcolor=#fefefe\u000a| ] 9529 +[ing ][or ] -> [ing or ] 9530 +[ic][tion] -> [iction] 9531 +[sur][g] -> [surg] 9532 +[own][ed by ] -> [owned by ] 9533 +[countri][es] -> [countries] 9534 +[Oc][ean ] -> [Ocean ] 9535 +[-][American ] -> [-American ] 9536 +[Di][ff] -> [Diff] 9537 +[Pal][ac] -> [Palac] 9538 +[sub][urb] -> [suburb] 9539 +[. B][oth ] -> [. Both ] 9540 +[Stre][et] -> [Street] 9541 +[Don]['t ] -> [Don't ] 9542 +[H][ouse] -> [House] 9543 +[per][f] -> [perf] 9544 +[C][ab] -> [Cab] 9545 +[m][i] -> [mi] 9546 +[sit][com] -> [sitcom] 9547 +[aul][t ] -> [ault ] 9548 +[F][our] -> [Four] 9549 +[direct][or and ] -> [director and ] 9550 +[B][ach] -> [Bach] 9551 +[3][ bgcolor=#fefefe\u000a| 1] -> [3 bgcolor=#fefefe\u000a| 1] 9552 +[, 1999 || Socorro || LINEAR || — || align=right | ][1.] -> [, 1999 || Socorro || LINEAR || — || align=right | 1.] 9553 +[year][, ] -> [year, ] 9554 +[bro][ke ] -> [broke ] 9555 +[||3][\u000a|-\u000a|200] -> [||3\u000a|-\u000a|200] 9556 +[ine ][and ] -> [ine and ] 9557 +[wrot][e the ] -> [wrote the ] 9558 +[. The ][song ] -> [. The song ] 9559 +[Church ][of ] -> [Church of ] 9560 +[m][en's ] -> [men's ] 9561 +[196][2 ] -> [1962 ] 9562 +[, and ][was ] -> [, and was ] 9563 +[Nik][ol] -> [Nikol] 9564 +[)][. In ] -> [). In ] 9565 +[ev][al ] -> [eval ] 9566 +[Other websit][es \u000a\u000a ] -> [Other websites \u000a\u000a ] 9567 +[at the ][2010 census] -> [at the 2010 census] 9568 +[r][y of ] -> [ry of ] 9569 +[in][ch] -> [inch] 9570 +[Mary][land] -> [Maryland] 9571 +[1 ][in ] -> [1 in ] 9572 +[s, ][American ] -> [s, American ] 9573 +[he][im ] -> [heim ] 9574 +[ograp][her ] -> [ographer ] 9575 +[h][ers] -> [hers] 9576 +[0 km || \u000a|-id=][0] -> [0 km || \u000a|-id=0] 9577 +[z][ (] -> [z (] 9578 +[ex][ual ] -> [exual ] 9579 +[con][sol] -> [consol] 9580 +[aircraf][t] -> [aircraft] 9581 +[ bgcolor=#][C2] -> [ bgcolor=#C2] 9582 +[di][am] -> [diam] 9583 +[up][on ] -> [upon ] 9584 +[Ex][ec] -> [Exec] 9585 +[name ][is ] -> [name is ] 9586 +[es][tr] -> [estr] 9587 +[et][y ] -> [ety ] 9588 +[com][es ] -> [comes ] 9589 +[on ][February ] -> [on February ] 9590 +[a][e ] -> [ae ] 9591 +[For][d ] -> [Ford ] 9592 +[sum][m] -> [summ] 9593 +[speak][ing ] -> [speaking ] 9594 +[for][est ] -> [forest ] 9595 +[New Yor][k, ] -> [New York, ] 9596 +[P][y] -> [Py] 9597 +[eth][nic ] -> [ethnic ] 9598 +[19][11] -> [1911] 9599 +[R][oll] -> [Roll] 9600 +[began ][in ] -> [began in ] 9601 +[Ath][le] -> [Athle] 9602 +[pun][ish] -> [punish] 9603 +[F][ort] -> [Fort] 9604 +[h][p] -> [hp] 9605 +[En][cycl] -> [Encycl] 9606 +[||0||][5] -> [||0||5] 9607 +[a][)\u000a ] -> [a)\u000a ] 9608 +[7][ bgcolor=#E9E9E9\u000a| 1] -> [7 bgcolor=#E9E9E9\u000a| 1] 9609 +[inter][view ] -> [interview ] 9610 +[st][ore ] -> [store ] 9611 +[Champion][s ] -> [Champions ] 9612 +[S][ri Lank] -> [Sri Lank] 9613 +[V][an] -> [Van] 9614 +[Studi][o ] -> [Studio ] 9615 +[Parliam][ent] -> [Parliament] 9616 +[ation][s, ] -> [ations, ] 9617 +[R][ub] -> [Rub] 9618 +[pro][mis] -> [promis] 9619 +[Pr][uss] -> [Pruss] 9620 +[.\u000a\u000aB][iograph] -> [.\u000a\u000aBiograph] 9621 +[Museum ][of ] -> [Museum of ] 9622 +[imm][igr] -> [immigr] 9623 +[television series debut][s\u000a] -> [television series debuts\u000a] 9624 +[pron][ounc] -> [pronounc] 9625 +[) ][as ] -> [) as ] 9626 +[T][ow] -> [Tow] 9627 +[8 km || \u000a|-id=][0] -> [8 km || \u000a|-id=0] 9628 +[Eag][le ] -> [Eagle ] 9629 +[Academy ][Award] -> [Academy Award] 9630 +[dr][am] -> [dram] 9631 +[Princ][e of ] -> [Prince of ] 9632 +[ad][ver] -> [adver] 9633 +[fe][et ] -> [feet ] 9634 +[Comp][uter ] -> [Computer ] 9635 +[at][e of ] -> [ate of ] 9636 +[ bgcolor=#E9E9E9\u000a| ][9] -> [ bgcolor=#E9E9E9\u000a| 9] 9637 +[World ][Championship] -> [World Championship] 9638 +[ou][d ] -> [oud ] 9639 +[con][v] -> [conv] 9640 +[A][-] -> [A-] 9641 +[E][mil] -> [Emil] 9642 +[sim][ple ] -> [simple ] 9643 +[sch][edul] -> [schedul] 9644 +[to ][help ] -> [to help ] 9645 +[text-][align] -> [text-align] 9646 +[Margar][et ] -> [Margaret ] 9647 +[pol][y] -> [poly] 9648 +[es ][for the ] -> [es for the ] 9649 +[p][itch] -> [pitch] 9650 +[Fri][end] -> [Friend] 9651 +[B][ou] -> [Bou] 9652 +[St][ew] -> [Stew] 9653 +[V][el] -> [Vel] 9654 +[e. ][A ] -> [e. A ] 9655 +[to ][his ] -> [to his ] 9656 +[would ][have ] -> [would have ] 9657 +[e.][g] -> [e.g] 9658 +[Ch][i] -> [Chi] 9659 +[S][or] -> [Sor] 9660 +[tow][ards ] -> [towards ] 9661 +[Sp][ort ] -> [Sport ] 9662 +[se][ed] -> [seed] 9663 +[Buen][os ] -> [Buenos ] 9664 +[ph][as] -> [phas] 9665 +[adi][um] -> [adium] 9666 +[L][ang] -> [Lang] 9667 +[y]["] -> [y"] 9668 +[person][n] -> [personn] 9669 +[tit][ud] -> [titud] 9670 +[dis][put] -> [disput] 9671 +[Li][eutenant ] -> [Lieutenant ] 9672 +[comp][ani] -> [compani] 9673 +[Pet][ers] -> [Peters] 9674 +[Vi][šn] -> [Višn] 9675 +[Wh][o ] -> [Who ] 9676 +[S][ag] -> [Sag] 9677 +[L][ight] -> [Light] 9678 +[Y][ok] -> [Yok] 9679 +[electr][onic ] -> [electronic ] 9680 +[, 2001 || Socorro || LINEAR || — || align=right | ][5.] -> [, 2001 || Socorro || LINEAR || — || align=right | 5.] 9681 +[of ][them ] -> [of them ] 9682 +[P][op ] -> [Pop ] 9683 +[A][N] -> [AN] 9684 +[S][on] -> [Son] 9685 +[, 2002 || Socorro || LINEAR || — || align=right | ][2.] -> [, 2002 || Socorro || LINEAR || — || align=right | 2.] 9686 +[" ][- ] -> [" - ] 9687 +[Sur][vey ] -> [Survey ] 9688 +[perform][ance ] -> [performance ] 9689 +[people ][with ] -> [people with ] 9690 +[Sh][ad] -> [Shad] 9691 +[languag][es] -> [languages] 9692 +[G][oth] -> [Goth] 9693 +[M][ess] -> [Mess] 9694 +[fac][il] -> [facil] 9695 +[Per][form] -> [Perform] 9696 +[Isra][el ] -> [Israel ] 9697 +[c][os] -> [cos] 9698 +[ing ][was ] -> [ing was ] 9699 +[sa][id] -> [said] 9700 +[Heal][th ] -> [Health ] 9701 +[,][0] -> [,0] 9702 +[sc][ore ] -> [score ] 9703 +[B][ack] -> [Back] 9704 +[text-align][:] -> [text-align:] 9705 +[ed ][about ] -> [ed about ] 9706 +[. They ][had ] -> [. They had ] 9707 +[be][ing the ] -> [being the ] 9708 +[el][ve ] -> [elve ] 9709 +[Višn][jan ] -> [Višnjan ] 9710 +[NH][L] -> [NHL] 9711 +[M][ain ] -> [Main ] 9712 +[made ][his ] -> [made his ] 9713 +[drop][p] -> [dropp] 9714 +[" ][or "] -> [" or "] 9715 +[. Ac][cording to ] -> [. According to ] 9716 +[Picture][s ] -> [Pictures ] 9717 +[F][C] -> [FC] 9718 +[department in the north of ][France.\u000a\u000aCommunes in ] -> [department in the north of France.\u000a\u000aCommunes in ] 9719 +[he ][became ] -> [he became ] 9720 +[Golden Glob][e ] -> [Golden Globe ] 9721 +[Sy][ri] -> [Syri] 9722 +[World War II][ ] -> [World War II ] 9723 +[.\u000a\u000aOther websit][es \u000a ] -> [.\u000a\u000aOther websites \u000a ] 9724 +[stre][am ] -> [stream ] 9725 +[s][ummer ] -> [summer ] 9726 +[ati][ ] -> [ati ] 9727 +[o][.\u000a\u000a] -> [o.\u000a\u000a] 9728 +[ || || — || April ][5] -> [ || || — || April 5] 9729 +[t][ouch] -> [touch] 9730 +[N][ick ] -> [Nick ] 9731 +[inter][n] -> [intern] 9732 +[A][ch] -> [Ach] 9733 +[W][ater ] -> [Water ] 9734 +[M][ember ] -> [Member ] 9735 +[Major ][League ] -> [Major League ] 9736 +[S][ud] -> [Sud] 9737 +[sol][o ] -> [solo ] 9738 +[Summer ][Paralymp] -> [Summer Paralymp] 9739 +[Bo][eing ] -> [Boeing ] 9740 +[Chil][ean ] -> [Chilean ] 9741 +[||0||0][\u000a|-\u000a|200] -> [||0||0\u000a|-\u000a|200] 9742 +[reti][re] -> [retire] 9743 +[number ][one ] -> [number one ] 9744 +[�][�] -> [£] 9745 +[.][org] -> [.org] 9746 +[studi][ed at ] -> [studied at ] 9747 +[,][\u000a ] -> [,\u000a ] 9748 +[orn][ey ] -> [orney ] 9749 +[pe][t ] -> [pet ] 9750 +[is also ][the ] -> [is also the ] 9751 +[li][z] -> [liz] 9752 +[an][a, ] -> [ana, ] 9753 +[Vlad][imir ] -> [Vladimir ] 9754 +[releas][e ] -> [release ] 9755 +[Arch][iv] -> [Archiv] 9756 +[T][empl] -> [Templ] 9757 +[3][5 ] -> [35 ] 9758 +[so ][the ] -> [so the ] 9759 +[they ][can ] -> [they can ] 9760 +[b][an ] -> [ban ] 9761 +[7][0 ] -> [70 ] 9762 +[conc][ert ] -> [concert ] 9763 +[al ][inf] -> [al inf] 9764 +[San Francis][co] -> [San Francisco] 9765 +[. ][She ] -> [. She ] 9766 +[H][ann] -> [Hann] 9767 +[May][or of ] -> [Mayor of ] 9768 +[exc][ep] -> [excep] 9769 +[p][icture] -> [picture] 9770 +[n][a] -> [na] 9771 +[inc][umb] -> [incumb] 9772 +[comun][e in the ] -> [comune in the ] 9773 +[200][6, ] -> [2006, ] 9774 +[dec][or] -> [decor] 9775 +[L][anc] -> [Lanc] 9776 +[y][.\u000a ] -> [y.\u000a ] 9777 +[am][, ] -> [am, ] 9778 +[Al][ger] -> [Alger] 9779 +[ || || — || September ][26] -> [ || || — || September 26] 9780 +[ev][ ] -> [ev ] 9781 +[ot][s ] -> [ots ] 9782 +[c][av] -> [cav] 9783 +[he][im] -> [heim] 9784 +[T][err] -> [Terr] 9785 +[As][ia ] -> [Asia ] 9786 +[al ][in ] -> [al in ] 9787 +[T][ra] -> [Tra] 9788 +[W][ith] -> [With] 9789 +[with ][their ] -> [with their ] 9790 +[n][iv] -> [niv] 9791 +[eas][ily ] -> [easily ] 9792 +[200][8, ] -> [2008, ] 9793 +[res][t of the ] -> [rest of the ] 9794 +[\u000a][UK MPs ] -> [\u000aUK MPs ] 9795 +[st][ated ] -> [stated ] 9796 +[Al][z] -> [Alz] 9797 +[G][ian] -> [Gian] 9798 +[K][l] -> [Kl] 9799 +[countri][es, ] -> [countries, ] 9800 +[, and ][a ] -> [, and a ] 9801 +[mix][ed ] -> [mixed ] 9802 +[how ][to ] -> [how to ] 9803 +[ab][as] -> [abas] 9804 +[of the ][Year] -> [of the Year] 9805 +[H][ex] -> [Hex] 9806 +[S][eason ] -> [Season ] 9807 +[Ad][el] -> [Adel] 9808 +[J][ ] -> [J ] 9809 +[.\u000a\u000a][Track list] -> [.\u000a\u000aTrack list] 9810 +[res][ident] -> [resident] 9811 +[Ad][di] -> [Addi] 9812 +[ol][a ] -> [ola ] 9813 +[he][imer] -> [heimer] 9814 +[sport][s] -> [sports] 9815 +[br][anch] -> [branch] 9816 +[people liv][ing in ] -> [people living in ] 9817 +[Washing][ton] -> [Washington] 9818 +[R][ain] -> [Rain] 9819 +[rank][ed ] -> [ranked ] 9820 +[sup][por] -> [suppor] 9821 +[c][k] -> [ck] 9822 +[An][n ] -> [Ann ] 9823 +[p][ath] -> [path] 9824 +[�][�] -> [ê] 9825 +[Meit][ei ] -> [Meitei ] 9826 +[it][z ] -> [itz ] 9827 +[is also ][a ] -> [is also a ] 9828 +[a][er] -> [aer] 9829 +[en][\u000a] -> [en\u000a] 9830 +[18][00] -> [1800] 9831 +[as well ][as the ] -> [as well as the ] 9832 +[Austri][a ] -> [Austria ] 9833 +[re][s (] -> [res (] 9834 +[spe][ed ] -> [speed ] 9835 +[per][form ] -> [perform ] 9836 +[m][emor] -> [memor] 9837 +[compl][ex ] -> [complex ] 9838 +[am][ount] -> [amount] 9839 +[Gre][ater ] -> [Greater ] 9840 +[ver][g] -> [verg] 9841 +[Y][on] -> [Yon] 9842 +[ || Siding Spring][ || S] -> [ || Siding Spring || S] 9843 +[ bgcolor=#E9E9E9\u000a| ][8] -> [ bgcolor=#E9E9E9\u000a| 8] 9844 +[de l][a L] -> [de la L] 9845 +[H][iro] -> [Hiro] 9846 +[a][.\u000a ] -> [a.\u000a ] 9847 +[in][burg] -> [inburg] 9848 +[ births\u000a2017 ][deaths\u000a] -> [ births\u000a2017 deaths\u000a] 9849 +[hus][band] -> [husband] 9850 +[FF][FF] -> [FFFF] 9851 +[ch][ap] -> [chap] 9852 +[24, ][1960 || Palomar || PLS] -> [24, 1960 || Palomar || PLS] 9853 +[Develop][ment ] -> [Development ] 9854 +[h][a ] -> [ha ] 9855 +[St][one ] -> [Stone ] 9856 +[Al][t] -> [Alt] 9857 +[liter][ature] -> [literature] 9858 +[w][ick] -> [wick] 9859 +[4][-] -> [4-] 9860 +[it ][and ] -> [it and ] 9861 +[s][s] -> [ss] 9862 +[on ][their ] -> [on their ] 9863 +[Hall of ][Fam] -> [Hall of Fam] 9864 +[comed][y-] -> [comedy-] 9865 +[Tran][sport ] -> [Transport ] 9866 +[Se][a ] -> [Sea ] 9867 +[al][ist] -> [alist] 9868 +[Nev][ad] -> [Nevad] 9869 +[ator][s from ] -> [ators from ] 9870 +[D][ark ] -> [Dark ] 9871 +[o][k ] -> [ok ] 9872 +[its ][first ] -> [its first ] 9873 +[Micros][oft ] -> [Microsoft ] 9874 +[about ][ ] -> [about ] 9875 +[Chicag][o, ] -> [Chicago, ] 9876 +[I][R] -> [IR] 9877 +[em][an ] -> [eman ] 9878 +[2014][)\u000a ] -> [2014)\u000a ] 9879 +[actor ][(b. ] -> [actor (b. ] 9880 +[L][av] -> [Lav] 9881 +[Punj][ab] -> [Punjab] 9882 +[Wom][en ] -> [Women ] 9883 +[prime ][minist] -> [prime minist] 9884 +[t ][|| ] -> [t || ] 9885 +[F][ish] -> [Fish] 9886 +[9 km || \u000a|-id=][0] -> [9 km || \u000a|-id=0] 9887 +[P][ays ] -> [Pays ] 9888 +[er][. ] -> [er. ] 9889 +[s][ign ] -> [sign ] 9890 +[h][em] -> [hem] 9891 +[4][5 ] -> [45 ] 9892 +[sh][ire ] -> [shire ] 9893 +[Com][pl] -> [Compl] 9894 +[acc][ident ] -> [accident ] 9895 +[let][ter] -> [letter] 9896 +[Sal][v] -> [Salv] 9897 +[Stat][e of ] -> [State of ] 9898 +[J][udg] -> [Judg] 9899 +[ k][m] -> [ km] 9900 +[th][er, ] -> [ther, ] 9901 +[ator][, ] -> [ator, ] 9902 +[G][ib] -> [Gib] 9903 +[ec][t of ] -> [ect of ] 9904 +[de][al ] -> [deal ] 9905 +[doub][le ] -> [double ] 9906 +[lot][s of ] -> [lots of ] 9907 +[Pierr][e ] -> [Pierre ] 9908 +[Council ][of ] -> [Council of ] 9909 +[. Al][though ] -> [. Although ] 9910 +[u][d ] -> [ud ] 9911 +[we][ight] -> [weight] 9912 +[Jon][es ] -> [Jones ] 9913 +[Or][le] -> [Orle] 9914 +[d][-] -> [d-] 9915 +[at][a] -> [ata] 9916 +[P][on] -> [Pon] 9917 +[. L][ater ] -> [. Later ] 9918 +[Bar][n] -> [Barn] 9919 +[go][ing to ] -> [going to ] 9920 +[How][ard ] -> [Howard ] 9921 +[him ][to ] -> [him to ] 9922 +[Sh][ow ] -> [Show ] 9923 +[ (][b. ] -> [ (b. ] 9924 +[produc][tion] -> [production] 9925 +[pe][ac] -> [peac] 9926 +[5][-] -> [5-] 9927 +[res][ourc] -> [resourc] 9928 +[help][s ] -> [helps ] 9929 +[e. ][On ] -> [e. On ] 9930 +[E][C] -> [EC] 9931 +[j][ud] -> [jud] 9932 +[.\u000a\u000aP][ersonal ] -> [.\u000a\u000aPersonal ] 9933 +[vol][um] -> [volum] 9934 +[Bul][l ] -> [Bull ] 9935 +[School][ of ] -> [School of ] 9936 +[ste][in ] -> [stein ] 9937 +[3][2 ] -> [32 ] 9938 +[ity ][of the ] -> [ity of the ] 9939 +[Ed][g] -> [Edg] 9940 +[ || || — || September ][9] -> [ || || — || September 9] 9941 +[and][a ] -> [anda ] 9942 +[, 201][6] -> [, 2016] 9943 +[iti][es\u000a] -> [ities\u000a] 9944 +[Reg][ional ] -> [Regional ] 9945 +[disc][uss] -> [discuss] 9946 +[his ][own ] -> [his own ] 9947 +[appoint][ed ] -> [appointed ] 9948 +[m][ist] -> [mist] 9949 +[. Th][er] -> [. Ther] 9950 +[all][, ] -> [all, ] 9951 +[fe][el ] -> [feel ] 9952 +[Portug][al] -> [Portugal] 9953 +[used to ][be ] -> [used to be ] 9954 +[us][\u000a ] -> [us\u000a ] 9955 +[ect][or] -> [ector] 9956 +[ar][ian ] -> [arian ] 9957 +[Doc][tor ] -> [Doctor ] 9958 +[United ][Nations ] -> [United Nations ] 9959 +[Di][am] -> [Diam] 9960 +[s are ][not ] -> [s are not ] 9961 +[I][M] -> [IM] 9962 +[inst][ead ] -> [instead ] 9963 +[thre][e-] -> [three-] 9964 +[Stock][hol] -> [Stockhol] 9965 +[called ][a ] -> [called a ] 9966 +[Further ][read] -> [Further read] 9967 +[which ][he ] -> [which he ] 9968 +[b][ach ] -> [bach ] 9969 +[Day ][(] -> [Day (] 9970 +[iti][es, ] -> [ities, ] 9971 +[Braz][il ] -> [Brazil ] 9972 +[at the ][same ] -> [at the same ] 9973 +[dem][on] -> [demon] 9974 +[y][cl] -> [ycl] 9975 +[H][and] -> [Hand] 9976 +[there ][was ] -> [there was ] 9977 +[det][ermin] -> [determin] 9978 +[e][ung] -> [eung] 9979 +[ bgcolor=#d6d6d6\u000a| ][9] -> [ bgcolor=#d6d6d6\u000a| 9] 9980 +[temper][ature] -> [temperature] 9981 +[memb][ers] -> [members] 9982 +[G][un] -> [Gun] 9983 +[P][ower ] -> [Power ] 9984 +[cir][cu] -> [circu] 9985 +[record][ing ] -> [recording ] 9986 +[who ][are ] -> [who are ] 9987 +[�][�] -> [�] 9988 +[e][ir] -> [eir] 9989 +[well-][known ] -> [well-known ] 9990 +[Bir][d] -> [Bird] 9991 +[ies ][in ] -> [ies in ] 9992 +[, ][is a ] -> [, is a ] 9993 +[as][k ] -> [ask ] 9994 +[Sé][rie ] -> [Série ] 9995 +[Joh][ann ] -> [Johann ] 9996 +[England][, ] -> [England, ] 9997 +[<|pad|>] 9998 +[<|endoftext|>] 9999 diff --git a/models/experimental/hugging_face.py b/models/experimental/hugging_face.py index 538639bc..5dee2507 100644 --- a/models/experimental/hugging_face.py +++ b/models/experimental/hugging_face.py @@ -9,6 +9,36 @@ from models.model_shell import ModelShell from trainers.base_trainer import BaseTrainer +import dotenv +dotenv.load_dotenv() +import os + +import torch.nn as nn + +class LoRALayer(nn.Module): + def __init__(self, original_weight, r=8, lora_alpha=32, lora_dropout=0.1): + super(LoRALayer, self).__init__() + self.r = r + self.lora_alpha = lora_alpha + self.lora_dropout = nn.Dropout(p=lora_dropout) + self.original_weight = original_weight + in_features, out_features = original_weight.shape + + # Initialize the low-rank matrices + self.lora_A = nn.Parameter(torch.randn(in_features, r) * 0.01) + self.lora_B = nn.Parameter(torch.randn(r, out_features) * 0.01) + self.lora_A.requires_grad = True + self.lora_B.requires_grad = True + + # Scale factor for the LoRA layers + self.scaling = lora_alpha / r + + def forward(self, x): + lora_out = self.lora_dropout(x @ self.lora_A) @ self.lora_B + original_out = x @ self.original_weight + # return self.original_layer(x) + lora_out * self.scaling + return original_out + lora_out * self.scaling + def build_model(model_cfg): ''' Helper function to build a model from the huggingface model hub. @@ -29,14 +59,37 @@ def build_model(model_cfg): trust_remote_code=True, attn_implementation=attn_impl, torch_dtype=torch.float32, + token=os.getenv("HF_TOKEN") ) - + use_lora = model_cfg.get("use_lora", False) + if use_lora: + targets = model_cfg.get("lora_targets", []) + nps = [(name, param) for name, param in model.named_parameters()] + # now iterate over original model parameters and freeze them + for name, param in nps: + if "lora" not in name: + param.requires_grad = False + print(f"Freezing {name}.") + for target in targets: + # iterate over params to find targets, and replace them with LoRA layers + + for name, param in nps: + if target in name: + print(f"Found target {name}.") + # get the LoRA layer + lora_layer = LoRALayer(param) + # replace the parameter with the LoRA layer + setattr(model, name, lora_layer) + print(f"Replaced {name} with LoRA layer.") + + # quantize = model_cfg.get("quantize", False) + # if quantize: return model class HFTokenizerWrapper(TokenizerClass): def __init__(self, hf_tokenizer_name): - self.hf_tokenizer = AutoTokenizer.from_pretrained(hf_tokenizer_name) + self.hf_tokenizer = AutoTokenizer.from_pretrained(hf_tokenizer_name, token=os.getenv("HF_TOKEN")) self.eot_token = self.hf_tokenizer.eos_token_id self.pad_token = self.hf_tokenizer.pad_token_id self.vocab_size = self.hf_tokenizer.vocab_size @@ -193,3 +246,38 @@ def _run_step(self, *args, **kwargs): def _save_model(self, iter_num=0): """We don't want to save the model in this case...""" pass + + +# def get_qk_scores_during_forward_pass(model): +# """ +# Set up hooks to extract Q and K projections from the model during its forward pass. +# """ +# raw_attentions = [] +# hooks = [] + +# def attention_hook_qwen(module, input, output): +# """Hook to capture the attention for Qwen 2 models.""" +# qk = output # Raw attention logits (QK^T) +# raw_attentions.append(qk.detach()) + +# def attention_hook_gpt2(module, input, output): +# """Hook to capture the attention for GPT-2 models.""" +# qkv = output # shape: (batch_size, seq_len, 3 * hidden_size) +# hidden_size = qkv.shape[-1] // 3 +# q, k, v = qkv.split(hidden_size, dim=-1) +# raw_attentions.append(q.detach()) +# raw_attentions.append(k.detach()) + +# # Register hooks based on the model type +# if 'Qwen' in model.core_model.model.__class__.__name__: +# for name, module in model.named_modules(): +# if 'q_proj' in name or 'k_proj' in name: +# hook = module.register_forward_hook(attention_hook_qwen) +# hooks.append(hook) +# elif 'GPT2' in model.core_model.model.__class__.__name__: +# for name, module in model.named_modules(): +# if 'c_attn' in name: +# hook = module.register_forward_hook(attention_hook_gpt2) +# hooks.append(hook) +# else: +# raise ValueError("Unsupported model type: {}".format(model.core_model.model.__class__.__name__)) From cb7a56e480837507b8e0bbc79905d01fb9d3bdcb Mon Sep 17 00:00:00 2001 From: Dylan Hillier Date: Fri, 11 Oct 2024 17:08:52 +0800 Subject: [PATCH 202/209] updated loralinear to fix --- models/experimental/hugging_face.py | 65 ++++++++++++++++------------- 1 file changed, 36 insertions(+), 29 deletions(-) diff --git a/models/experimental/hugging_face.py b/models/experimental/hugging_face.py index 5dee2507..a85e638d 100644 --- a/models/experimental/hugging_face.py +++ b/models/experimental/hugging_face.py @@ -15,29 +15,30 @@ import torch.nn as nn -class LoRALayer(nn.Module): - def __init__(self, original_weight, r=8, lora_alpha=32, lora_dropout=0.1): - super(LoRALayer, self).__init__() - self.r = r - self.lora_alpha = lora_alpha - self.lora_dropout = nn.Dropout(p=lora_dropout) - self.original_weight = original_weight - in_features, out_features = original_weight.shape +class LoRALinear(nn.Module): + def __init__(self, original_layer: nn.Linear, r=8, lora_alpha=32, lora_dropout=0.1): + super(LoRALinear, self).__init__() + self.original_layer = original_layer # Store the original nn.Linear layer + self.r = r # Rank of the LoRA approximation + self.lora_alpha = lora_alpha # Scaling factor for LoRA + self.scaling = lora_alpha / r # Scale factor + self.lora_dropout = nn.Dropout(p=lora_dropout) # Dropout for LoRA - # Initialize the low-rank matrices + # Low-rank matrices + in_features, out_features = original_layer.weight.T.shape self.lora_A = nn.Parameter(torch.randn(in_features, r) * 0.01) self.lora_B = nn.Parameter(torch.randn(r, out_features) * 0.01) - self.lora_A.requires_grad = True - self.lora_B.requires_grad = True - - # Scale factor for the LoRA layers - self.scaling = lora_alpha / r def forward(self, x): + # Perform the forward pass of the original linear layer + original_output = self.original_layer(x) + print(x.shape, self.lora_A.shape, self.lora_B.shape, original_output.shape, self.original_layer.weight.shape) + + # Compute the LoRA output lora_out = self.lora_dropout(x @ self.lora_A) @ self.lora_B - original_out = x @ self.original_weight - # return self.original_layer(x) + lora_out * self.scaling - return original_out + lora_out * self.scaling + + # Add the LoRA output to the original output, scaled by self.scaling + return original_output + lora_out * self.scaling def build_model(model_cfg): ''' @@ -64,22 +65,28 @@ def build_model(model_cfg): use_lora = model_cfg.get("use_lora", False) if use_lora: targets = model_cfg.get("lora_targets", []) - nps = [(name, param) for name, param in model.named_parameters()] - # now iterate over original model parameters and freeze them - for name, param in nps: + # Freeze original model parameters except LoRA layers + for name, param in model.named_parameters(): if "lora" not in name: param.requires_grad = False print(f"Freezing {name}.") + + # Iterate over the model modules to find the target layers and replace them with LoRA layers for target in targets: - # iterate over params to find targets, and replace them with LoRA layers - - for name, param in nps: - if target in name: - print(f"Found target {name}.") - # get the LoRA layer - lora_layer = LoRALayer(param) - # replace the parameter with the LoRA layer - setattr(model, name, lora_layer) + for name, module in model.named_modules(): + if target in name and isinstance(module, nn.Linear): + print(f"Found target layer {name}.") + + # Replace the module with a LoRALayer (wrap the original Linear layer) + print(f"Replacing {name} with LoRA layer. OG shape: {module.weight.shape}") + lora_layer = LoRALinear(module) + print(f"New shape: {lora_layer.lora_A.shape} x {lora_layer.lora_B.shape}") + + # We need to set the new LoRA layer into the model hierarchy + parent_name, attr_name = name.rsplit('.', 1) # Split the module name to get parent and attribute + parent_module = dict(model.named_modules())[parent_name] # Access the parent module + + setattr(parent_module, attr_name, lora_layer) print(f"Replaced {name} with LoRA layer.") # quantize = model_cfg.get("quantize", False) From 9a50a9686d96078892ff4b8155b5a022979a860e Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 11 Oct 2024 17:22:03 +0800 Subject: [PATCH 203/209] wip --- README.md | 9 + configs/train/debugging.yaml | 25 +- evals/__init__.py | 43 ++++ evals/benchmarks/extraction_functions.py | 52 ++++ evals/benchmarks/utils.py | 233 +++++++++++++++++ evals/benchmarks/yield_functions.py | 88 ++++++- evals/evaluators/__init__.py | 3 +- evals/evaluators/free_form_evaluator.py | 70 ++++- evals/evaluators/mcq_evaluator.py | 12 +- evals/evaluators/text_modeling_evaluator.py | 20 +- evals/model_wrappers.py | 34 ++- generate.py | 2 +- hackathon_evaluation.py | 63 +++++ hackathon_utils.py | 267 ++++++++++++++++++++ models/{generator.py => generators.py} | 84 +++++- trainers/base_trainer.py | 179 ++++--------- trainers/utils.py | 111 ++++---- 17 files changed, 1040 insertions(+), 255 deletions(-) create mode 100644 evals/benchmarks/extraction_functions.py create mode 100644 hackathon_evaluation.py create mode 100644 hackathon_utils.py rename models/{generator.py => generators.py} (90%) diff --git a/README.md b/README.md index 69fddb43..8536be99 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,14 @@ +# Work in Progress +## TODO +- change the generators to accept custom default values on initialization +- train LLama-3.2 is a value model +- standalone eval script for model (MATH) for easy search and prompting +- add start thought and end thought tokens to LLama +- fix the print_evaluation_results function to be pretty again (maybe return eval results as dicts, and process to wandb string afterwards) + # Super Tiny Language Models + [Model Interfaces](models/README.md) | [Full Configs](configs/full_configs/) | [Intro Paper](https://arxiv.org/abs/2405.14159) | [Discord](https://discord.gg/wwTruDPH) This GitHub repository presents our research on Super Tiny Language Models (STLMs), aimed at delivering high performance with significantly reduced parameter counts (90-95% smaller) compared to traditional large language models. We explore innovative techniques such as byte-level tokenization with pooling, weight tying, and efficient training strategies. The codebase covers various subproblems, including tokenizer-free models, self-play based training, and alternative training objectives, targeting models with 10M, 50M, and 100M parameters while maintaining competitive performance. diff --git a/configs/train/debugging.yaml b/configs/train/debugging.yaml index 672a5d7f..1f1ec1de 100644 --- a/configs/train/debugging.yaml +++ b/configs/train/debugging.yaml @@ -53,33 +53,12 @@ trainer: eval: benchmarks: + - MATH-small - STLM-Text-Modeling (full) - ArcEasy - ArcEasySubset # - ArcEasyLinearSubset - - - - # mcq_benchmarks: - # - "winogrande" - # - "hellaswag" - # - "arc_easy" - # - "blimp" - # - "piqa" - # - "race_middle" - # - "race_high" - # - "boolq" - # - "openbook_qa_closed" - # - "openbook_qa_open" - # - "copa" - # - "commonsense_qa" - # - "ewok" - # mcq_num_samples: 1000 - # eval_byte_metrics: true - # text_modeling_eval: true - # text_generation_eval: true - # free_form_benchmarks: - # - "gsm8k" + val_loss_iters: 1000 optimizer: optimizer_name: adamW diff --git a/evals/__init__.py b/evals/__init__.py index ec3aac78..e19eee5e 100644 --- a/evals/__init__.py +++ b/evals/__init__.py @@ -10,9 +10,12 @@ from evals.benchmarks.yield_functions import * +from evals.benchmarks.extraction_functions import * from evals.model_wrappers import * +from models.generators import * + # Register the MCQ benchmarks @@ -75,6 +78,46 @@ # Register the Free Form benchmarks +register( + id="MATH", + entry_point="evals.evaluators:FreeFormEvaluator", + model_wrapper=FreeFormModelWrapper, + model_generator=StandardGenerator, + answer_extraction_function=answer_extraction_math, + yield_fn=load_math, + yield_fn_params={ + "num_samples": None, # all + "seed": 489 + }, +) +register( + id="MATH-small", + entry_point="evals.evaluators:FreeFormEvaluator", + model_wrapper=FreeFormModelWrapper, + model_generator=StandardGenerator, + answer_extraction_function=answer_extraction_math, + yield_fn=load_math, + yield_fn_params={ + "num_samples": 100, # all + "seed": 489 + }, +) + + + + +register( + id="GSM8K", + entry_point="evals.evaluators:FreeFormEvaluator", + model_wrapper=FreeFormModelWrapper, + model_generator=StandardGenerator, + answer_extraction_function=answer_extraction_gsm8k, + yield_fn=load_gsm8k, + yield_fn_params={ + "num_samples": None, # all + "seed": 489 # few-shot etc. should be mentioned here + } +) diff --git a/evals/benchmarks/extraction_functions.py b/evals/benchmarks/extraction_functions.py new file mode 100644 index 00000000..e573880a --- /dev/null +++ b/evals/benchmarks/extraction_functions.py @@ -0,0 +1,52 @@ +import sympy +import re +from evals.benchmarks.utils import * + +def answer_extraction_math(text: str) -> str: + """ + Extracts the final answer from the generated text for the MATH dataset. + Supports formats like '\\boxed{...}' and extracts expressions between the first and last '$' signs. + """ + if "\\boxed" in text: + return remove_boxed(last_boxed_only_string(text)) + elif "Answer:" in text: + return text.split("Answer:")[-1] + elif "###" in text: + return text.split("###")[-1] + else: + return text + + + +def answer_extraction_gsm8k(generated_text: str) -> str: + """ + Extracts the final answer from the generated text for the GSM8k dataset. + """ + # Try to find patterns like 'Answer: 42' or '#### 42' + match = re.findall(r'####\s*(.*)', generated_text) + if match: + return match[-1].strip() + match = re.findall(r'Answer:\s*(.*)', generated_text) + if match: + return match[-1].strip() + # If no pattern matched, return the last numerical value + numbers = re.findall(r'[-+]?\d*\.\d+|\d+', generated_text) + if numbers: + return numbers[-1].strip() + # Fallback: Return the entire text + return generated_text.strip() + +def answer_extraction_aqua_rat(generated_text: str) -> str: + """ + Extracts the selected option from the generated text for the AQUA-RAT dataset. + """ + # Look for 'Answer: A', 'Answer: B', etc. + match = re.findall(r'Answer:\s*([A-E])', generated_text, re.IGNORECASE) + if match: + return match[-1].upper() + # Fallback: Return the last capital letter between A and E + match = re.findall(r'\b([A-E])\b', generated_text.upper()) + if match: + return match[-1] + # Fallback: Return the entire text + return generated_text.strip() diff --git a/evals/benchmarks/utils.py b/evals/benchmarks/utils.py index 039fbc4a..66c66830 100644 --- a/evals/benchmarks/utils.py +++ b/evals/benchmarks/utils.py @@ -101,3 +101,236 @@ ] + +# taken from https://github.com/EleutherAI/lm-evaluation-harness/blob/main/lm_eval/tasks/hendrycks_math/utils.py +from typing import Dict, List + +import datasets + + +def process_docs(dataset: datasets.Dataset) -> datasets.Dataset: + def _process_doc(doc: dict) -> dict: + out_doc = { + "problem": doc["problem"], + "solution": doc["solution"], + "answer": remove_boxed(last_boxed_only_string(doc["solution"])), + } + return out_doc + + return dataset.map(_process_doc) + + +def process_results(doc: dict, results: List[str]) -> Dict[str, int]: + retval = 0 + indices = [pos for pos, char in enumerate(results[0]) if char == "$"] + if len(indices) <= 1: + answer = results[0] + else: + answer = results[0][indices[0] + 1 : indices[-1]] + + if is_equiv(answer, remove_boxed(last_boxed_only_string(doc["solution"]))): + retval = 1 + + results = { + "exact_match": retval, + } + return results + + +# string normalization from https://github.com/EleutherAI/lm-evaluation-harness/blob/master/lm_eval/tasks/hendrycks_math.py +def is_equiv(str1, str2, verbose=False): + if str1 is None and str2 is None: + print("WARNING: Both None") + return True + if str1 is None or str2 is None: + return False + + try: + ss1 = strip_string(str1) + ss2 = strip_string(str2) + if verbose: + print(ss1, ss2) + return ss1 == ss2 + except Exception: + return str1 == str2 + + +def remove_boxed(s): + if "\\boxed " in s: + left = "\\boxed " + assert s[: len(left)] == left + return s[len(left) :] + + left = "\\boxed{" + + assert s[: len(left)] == left + assert s[-1] == "}" + + return s[len(left) : -1] + + +def last_boxed_only_string(string): + idx = string.rfind("\\boxed") + if "\\boxed " in string: + return "\\boxed " + string.split("\\boxed ")[-1].split("$")[0] + if idx < 0: + idx = string.rfind("\\fbox") + if idx < 0: + return None + + i = idx + right_brace_idx = None + num_left_braces_open = 0 + while i < len(string): + if string[i] == "{": + num_left_braces_open += 1 + if string[i] == "}": + num_left_braces_open -= 1 + if num_left_braces_open == 0: + right_brace_idx = i + break + i += 1 + + if right_brace_idx is None: + retval = None + else: + retval = string[idx : right_brace_idx + 1] + + return retval + + +def fix_fracs(string): + substrs = string.split("\\frac") + new_str = substrs[0] + if len(substrs) > 1: + substrs = substrs[1:] + for substr in substrs: + new_str += "\\frac" + if substr[0] == "{": + new_str += substr + else: + try: + assert len(substr) >= 2 + except AssertionError: + return string + a = substr[0] + b = substr[1] + if b != "{": + if len(substr) > 2: + post_substr = substr[2:] + new_str += "{" + a + "}{" + b + "}" + post_substr + else: + new_str += "{" + a + "}{" + b + "}" + else: + if len(substr) > 2: + post_substr = substr[2:] + new_str += "{" + a + "}" + b + post_substr + else: + new_str += "{" + a + "}" + b + string = new_str + return string + + +def fix_a_slash_b(string): + if len(string.split("/")) != 2: + return string + a = string.split("/")[0] + b = string.split("/")[1] + try: + a = int(a) + b = int(b) + assert string == "{}/{}".format(a, b) + new_string = "\\frac{" + str(a) + "}{" + str(b) + "}" + return new_string + except AssertionError: + return string + + +def remove_right_units(string): + # "\\text{ " only ever occurs (at least in the val set) when describing units + if "\\text{ " in string: + splits = string.split("\\text{ ") + assert len(splits) == 2 + return splits[0] + else: + return string + + +def fix_sqrt(string): + if "\\sqrt" not in string: + return string + splits = string.split("\\sqrt") + new_string = splits[0] + for split in splits[1:]: + if split[0] != "{": + a = split[0] + new_substr = "\\sqrt{" + a + "}" + split[1:] + else: + new_substr = "\\sqrt" + split + new_string += new_substr + return new_string + + +def strip_string(string): + # linebreaks + string = string.replace("\n", "") + + # remove inverse spaces + string = string.replace("\\!", "") + + # replace \\ with \ + string = string.replace("\\\\", "\\") + + # replace tfrac and dfrac with frac + string = string.replace("tfrac", "frac") + string = string.replace("dfrac", "frac") + + # remove \left and \right + string = string.replace("\\left", "") + string = string.replace("\\right", "") + + # Remove circ (degrees) + string = string.replace("^{\\circ}", "") + string = string.replace("^\\circ", "") + + # remove dollar signs + string = string.replace("\\$", "") + + # remove units (on the right) + string = remove_right_units(string) + + # remove percentage + string = string.replace("\\%", "") + string = string.replace("\%", "") # noqa: W605 + + # " 0." equivalent to " ." and "{0." equivalent to "{." Alternatively, add "0" if "." is the start of the string + string = string.replace(" .", " 0.") + string = string.replace("{.", "{0.") + # if empty, return empty string + if len(string) == 0: + return string + if string[0] == ".": + string = "0" + string + + # to consider: get rid of e.g. "k = " or "q = " at beginning + if len(string.split("=")) == 2: + if len(string.split("=")[0]) <= 2: + string = string.split("=")[1] + + # fix sqrt3 --> sqrt{3} + string = fix_sqrt(string) + + # remove spaces + string = string.replace(" ", "") + + # \frac1b or \frac12 --> \frac{1}{b} and \frac{1}{2}, etc. Even works with \frac1{72} (but not \frac{72}1). Also does a/b --> \\frac{a}{b} + string = fix_fracs(string) + + # manually change 0.5 --> \frac{1}{2} + if string == "0.5": + string = "\\frac{1}{2}" + + # NOTE: X/Y changed to \frac{X}{Y} in dataset, but in simple cases fix in case the model output is X/Y + string = fix_a_slash_b(string) + + return string \ No newline at end of file diff --git a/evals/benchmarks/yield_functions.py b/evals/benchmarks/yield_functions.py index 22fcfc29..5a8384cf 100644 --- a/evals/benchmarks/yield_functions.py +++ b/evals/benchmarks/yield_functions.py @@ -328,6 +328,88 @@ def load_ewok(num_samples=None, seed=None): ) +# Free Form Eval yield functions +def load_gsm8k(num_samples=None, seed=None): + """ + Load the GSM8K eval set + https://huggingface.co/datasets/gsm8k + + Args: + num_samples (Optional[int]): Number of samples to load. If None, load all. + seed (Optional[int]): Seed for random sampling. + + Yields: + Tuple[str, str, List[str]]: (question, answer) + """ + dataset = load_dataset("gsm8k", "main", trust_remote_code=True)["test"] + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) + for i in index_list: + sample = dataset[i] + yield ( + sample["question"], + sample["answer"], + ) + + + +def load_math(num_samples=None, seed=None): + """ + Load the MATH eval set + https://huggingface.co/datasets/lighteval/MATH + + Args: + num_samples (Optional[int]): Number of samples to load. If None, load all. + seed (Optional[int]): Seed for random sampling. + + Yields: + Tuple[str, str, List[str]]: (question, answer) + """ + dataset = load_dataset("lighteval/MATH", "all", trust_remote_code=True)["test"] + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) + for i in index_list: + sample = dataset[i] + yield ( + sample["problem"], + sample["solution"], + ) + + +def load_drop(num_samples=None, seed=None): + """ + Load the DROP eval set + https://huggingface.co/datasets/drop + + Args: + num_samples (Optional[int]): Number of samples to load. If None, load all. + seed (Optional[int]): Seed for random sampling. + + Yields: + Tuple[str, str, List[str]]: (question + passage, answer) + """ + dataset = load_dataset("drop", "drop", trust_remote_code=True)["validation"] + index_list = get_idx_list( + dataset_length=len(dataset), + num_samples=num_samples, + seed=seed + ) + for i in index_list: + sample = dataset[i] + combined_question = f"Passage: {sample['passage']} Question: {sample['question']}" + yield ( + combined_question, + sample["answer"], + ) + + + # Text Modeling yield functions def load_stlm_synthetic_text_modeling( @@ -366,4 +448,8 @@ def load_stlm_synthetic_text_modeling( # Yield the 'text' field from each filtered sample for sample in iterator: - yield sample["text"] \ No newline at end of file + yield sample["text"] + + + +# Text Generation yield functions \ No newline at end of file diff --git a/evals/evaluators/__init__.py b/evals/evaluators/__init__.py index f9e0d617..d18050dc 100644 --- a/evals/evaluators/__init__.py +++ b/evals/evaluators/__init__.py @@ -1,2 +1,3 @@ from evals.evaluators.mcq_evaluator import MCQEvaluator -from evals.evaluators.text_modeling_evaluator import TextModelingEvaluator \ No newline at end of file +from evals.evaluators.text_modeling_evaluator import TextModelingEvaluator +from evals.evaluators.free_form_evaluator import FreeFormEvaluator \ No newline at end of file diff --git a/evals/evaluators/free_form_evaluator.py b/evals/evaluators/free_form_evaluator.py index 81060d98..093475e4 100644 --- a/evals/evaluators/free_form_evaluator.py +++ b/evals/evaluators/free_form_evaluator.py @@ -1,8 +1,76 @@ from evals.benchmarks.yield_functions import * +from models.generators import BaseGenerator from evals.core import BaseEvaluator, BaseModelWrapper from typing import Optional, Callable, Dict, Any +import sympy class FreeFormEvaluator(BaseEvaluator): - """ Evaluator for free form \ No newline at end of file + """ Evaluator for free form questions. """ + + def __init__( + self, + yield_fn: Callable, + answer_extraction_function: Callable, + model_wrapper: BaseModelWrapper, + model_generator: Optional[BaseGenerator] = None, # if no generated is provided, the model must be wrapped outside + generator_params: Optional[Dict[str, Any]] = None, + yield_fn_params: Optional[Dict[str, Any]] = None, + eval_logging_path: Optional[str] = "FreeForm" + ): + super().__init__() + """ TODO """ + self.eval_logging_path = eval_logging_path + self.yield_fn = yield_fn(**yield_fn_params) + self.generator_params = generator_params + self.extract_answer = answer_extraction_function + self.model_wrapper = model_wrapper + self.model_generator = model_generator + + def _compare_math_answers(self, true_answer: str, model_answer: str) -> bool: + """ + Compares two mathematical expressions for equivalence. + """ + try: + true_expr = sympy.sympify(true_answer) + model_expr = sympy.sympify(model_answer) + return sympy.simplify(true_expr - model_expr) == 0 + except (sympy.SympifyError, TypeError): + # Fallback to string comparison + return true_answer.strip() == model_answer.strip() + + + def evaluate(self, model): + """ TODO """ + # wrap the model + model = self.model_wrapper( + model=model, + model_generator=self.model_generator, + generator_params=self.generator_params + ) + total, correct = 0, 0 + + for question, answer in self.yield_fn: + # generate model's answer + generated_answer = model(question) + + + # extract final answers + true_answer = self.extract_answer(answer) + model_answer = self.extract_answer(generated_answer) + + # comopare answers (numerical comparison) + if self._compare_math_answers( + true_answer=true_answer, + model_answer=model_answer + ): + correct += 1 + total += 1 + + + accuracy = correct / total if total > 0 else 0 + return { + f"{self.eval_logging_path}/{self.env_id} (Acc.)": accuracy + } + diff --git a/evals/evaluators/mcq_evaluator.py b/evals/evaluators/mcq_evaluator.py index d73f2199..bb69bf6c 100644 --- a/evals/evaluators/mcq_evaluator.py +++ b/evals/evaluators/mcq_evaluator.py @@ -12,23 +12,17 @@ def __init__( yield_fn: Callable, model_wrapper: BaseModelWrapper, yield_fn_params: Optional[Dict[str, Any]] = None, - eval_metric: Optional[str] = "Acc", eval_logging_path: Optional[str] = "MCQ", ): super().__init__() - """ - TODO - """ - self.eval_metric = eval_metric + """ TODO """ self.eval_logging_path = eval_logging_path self.yield_fn = yield_fn(**yield_fn_params) self.model_wrapper = model_wrapper def evaluate(self, model): - """ - TODO - """ + """ TODO """ model = self.model_wrapper(model) # wrap the model total, correct = 0, 0 @@ -43,7 +37,7 @@ def evaluate(self, model): total += 1 accuracy = correct / total if total > 0 else 0 return { - f"{self.eval_logging_path}/{self.env_id}-{self.eval_metric}": accuracy + f"{self.eval_logging_path}/{self.env_id} (Acc.)": accuracy } diff --git a/evals/evaluators/text_modeling_evaluator.py b/evals/evaluators/text_modeling_evaluator.py index e4631ae8..d44e6268 100644 --- a/evals/evaluators/text_modeling_evaluator.py +++ b/evals/evaluators/text_modeling_evaluator.py @@ -5,15 +5,15 @@ # Define the metrics and their computations METRIC_EVALUATIONS = { - "Byte Acc.": lambda results_dict: ( + "Byte Accuracy": lambda results_dict: ( results_dict["total_correct_bytes"] / results_dict["total_bytes"] if results_dict["total_bytes"] > 0 else 0.0 ), - "Perplexity": lambda results_dict: ( + "Byte Perplexity": lambda results_dict: ( torch.exp(torch.tensor(results_dict["total_loss"] / results_dict["total_tokens"])).item() if results_dict["total_tokens"] > 0 else float('inf') ), - "Levenshtein": lambda results_dict: ( + "Byte Levenshtein": lambda results_dict: ( results_dict["total_edit_distance"] / results_dict["total_bytes"] if results_dict["total_bytes"] > 0 else float('inf') ), @@ -28,21 +28,14 @@ def __init__( yield_fn: Callable, yield_fn_params: Optional[Dict[str, Any]] = None, chunk_size: Optional[int] = 100, - eval_metric: Optional[str] = "Byte Acc.", eval_logging_path: Optional[str] = "Text Modeling" ): super().__init__() - self.eval_metric = eval_metric self.eval_logging_path = eval_logging_path self.model_wrapper = model_wrapper self.yield_fn = yield_fn(**(yield_fn_params or {})) self.chunk_size = chunk_size - # Assert correct parameters - assert self.eval_metric in METRIC_EVALUATIONS, ( - f"Provided metric '{self.eval_metric}' for Text Modeling Eval is not available. " - f"Options are: {list(METRIC_EVALUATIONS.keys())}" - ) def evaluate(self, model): """ @@ -88,9 +81,8 @@ def evaluate(self, model): results["total_loss"] += local_results["loss"] results["total_tokens"] += local_results["tokens"] - # Compute the final metric - final_metric_value = METRIC_EVALUATIONS[self.eval_metric](results) - return { - f"{self.eval_logging_path}/{self.eval_metric}": final_metric_value + f"{self.eval_logging_path}/Byte Accuracy": METRIC_EVALUATIONS["Byte Accuracy"](results), + f"{self.eval_logging_path}/Byte Perplexity": METRIC_EVALUATIONS["Byte Perplexity"](results), + f"{self.eval_logging_path}/Byte Levenshtein": METRIC_EVALUATIONS["Byte Levenshtein"](results), } diff --git a/evals/model_wrappers.py b/evals/model_wrappers.py index 9e6cc547..83497e01 100644 --- a/evals/model_wrappers.py +++ b/evals/model_wrappers.py @@ -130,4 +130,36 @@ def __call__(self, reference_text: str) -> Dict[str, Any]: 'bytes': total_bytes, 'loss': total_loss, 'tokens': total_tokens - } \ No newline at end of file + } + + + + +class FreeFormModelWrapper(BaseModelWrapper): + """ TODO """ + def __init__(self, model, model_generator, generator_params): + """ TODO """ + super().__init__() + self.model = model + + # check if a generator was provided, if not, + # assume the model is already wrapped in one + if model_generator is not None: + # wrap the model in the generator + if generator_params is None: + self.model = model_generator( + model=self.model + ) + else: + self.model = model_generator( + model=self.model, + **generator_params + ) + + + def __call__(self, input_text:str) -> str: + """ TODO """ + return self.model.generate( + input_text=input_text + )[0] # assume sample-by-sample for now + diff --git a/generate.py b/generate.py index cf4196fb..0443e5c1 100644 --- a/generate.py +++ b/generate.py @@ -6,7 +6,7 @@ import torch from models.build_models import build_model -from models.generator import build_generator +from models.generators import build_generator @hydra.main(config_path="configs", config_name="generate") diff --git a/hackathon_evaluation.py b/hackathon_evaluation.py new file mode 100644 index 00000000..60126d78 --- /dev/null +++ b/hackathon_evaluation.py @@ -0,0 +1,63 @@ +""" +Evaluation Code. +""" + +import torch +import sympy +from hackathon_utils import compare_answers +from datasets import load_dataset +from models.build_models import build_model + + +def load_math(): + """ + Load the MATH eval set + https://huggingface.co/datasets/lighteval/MATH + + Args: + num_samples (Optional[int]): Number of samples to load. If None, load all. + seed (Optional[int]): Seed for random sampling. + + Yields: + Tuple[str, str, List[str]]: (question, answer) + """ + dataset = load_dataset("lighteval/MATH", "all", trust_remote_code=True)["test"] + for i in range(len(dataset)): + yield( + sample[i]["problem"], + sample[i]["solution"] + ) + + +# load the model +model, _ = build_model(model_cfg={ + "model_string": "openai-community/gpt2", + "core_model_type": "hf_core", + "embedding_model_type": "hf_embedder", + "tokenizer_name": "hf_tokenizer", + "model_shell_type": "standard", + "lm_head_type": "hf_head" +}) + + +def generate_reply(problem): + return problem + + + + +total, correct = 0, 0 +for i, (problem, solution) in enumerate(load_math()): + # get model answer + model_answer = generate_reply(problem) + + # evaluate model answer + correct += compare_answers( + y_true=solution, + y_pred=model_answer + ) + total += 1 + + + +print(f"Accuracy: {correct/total}") \ No newline at end of file diff --git a/hackathon_utils.py b/hackathon_utils.py new file mode 100644 index 00000000..b7956226 --- /dev/null +++ b/hackathon_utils.py @@ -0,0 +1,267 @@ + +# taken from https://github.com/EleutherAI/lm-evaluation-harness/blob/main/lm_eval/tasks/hendrycks_math/utils.py +from typing import Dict, List + +import datasets + + +def process_docs(dataset: datasets.Dataset) -> datasets.Dataset: + def _process_doc(doc: dict) -> dict: + out_doc = { + "problem": doc["problem"], + "solution": doc["solution"], + "answer": remove_boxed(last_boxed_only_string(doc["solution"])), + } + return out_doc + + return dataset.map(_process_doc) + + +def process_results(doc: dict, results: List[str]) -> Dict[str, int]: + retval = 0 + indices = [pos for pos, char in enumerate(results[0]) if char == "$"] + if len(indices) <= 1: + answer = results[0] + else: + answer = results[0][indices[0] + 1 : indices[-1]] + + if is_equiv(answer, remove_boxed(last_boxed_only_string(doc["solution"]))): + retval = 1 + + results = { + "exact_match": retval, + } + return results + + +# string normalization from https://github.com/EleutherAI/lm-evaluation-harness/blob/master/lm_eval/tasks/hendrycks_math.py +def is_equiv(str1, str2, verbose=False): + if str1 is None and str2 is None: + print("WARNING: Both None") + return True + if str1 is None or str2 is None: + return False + + try: + ss1 = strip_string(str1) + ss2 = strip_string(str2) + if verbose: + print(ss1, ss2) + return ss1 == ss2 + except Exception: + return str1 == str2 + + +def remove_boxed(s): + if "\\boxed " in s: + left = "\\boxed " + assert s[: len(left)] == left + return s[len(left) :] + + left = "\\boxed{" + + assert s[: len(left)] == left + assert s[-1] == "}" + + return s[len(left) : -1] + + +def last_boxed_only_string(string): + idx = string.rfind("\\boxed") + if "\\boxed " in string: + return "\\boxed " + string.split("\\boxed ")[-1].split("$")[0] + if idx < 0: + idx = string.rfind("\\fbox") + if idx < 0: + return None + + i = idx + right_brace_idx = None + num_left_braces_open = 0 + while i < len(string): + if string[i] == "{": + num_left_braces_open += 1 + if string[i] == "}": + num_left_braces_open -= 1 + if num_left_braces_open == 0: + right_brace_idx = i + break + i += 1 + + if right_brace_idx is None: + retval = None + else: + retval = string[idx : right_brace_idx + 1] + + return retval + + +def fix_fracs(string): + substrs = string.split("\\frac") + new_str = substrs[0] + if len(substrs) > 1: + substrs = substrs[1:] + for substr in substrs: + new_str += "\\frac" + if substr[0] == "{": + new_str += substr + else: + try: + assert len(substr) >= 2 + except AssertionError: + return string + a = substr[0] + b = substr[1] + if b != "{": + if len(substr) > 2: + post_substr = substr[2:] + new_str += "{" + a + "}{" + b + "}" + post_substr + else: + new_str += "{" + a + "}{" + b + "}" + else: + if len(substr) > 2: + post_substr = substr[2:] + new_str += "{" + a + "}" + b + post_substr + else: + new_str += "{" + a + "}" + b + string = new_str + return string + + +def fix_a_slash_b(string): + if len(string.split("/")) != 2: + return string + a = string.split("/")[0] + b = string.split("/")[1] + try: + a = int(a) + b = int(b) + assert string == "{}/{}".format(a, b) + new_string = "\\frac{" + str(a) + "}{" + str(b) + "}" + return new_string + except AssertionError: + return string + + +def remove_right_units(string): + # "\\text{ " only ever occurs (at least in the val set) when describing units + if "\\text{ " in string: + splits = string.split("\\text{ ") + assert len(splits) == 2 + return splits[0] + else: + return string + + +def fix_sqrt(string): + if "\\sqrt" not in string: + return string + splits = string.split("\\sqrt") + new_string = splits[0] + for split in splits[1:]: + if split[0] != "{": + a = split[0] + new_substr = "\\sqrt{" + a + "}" + split[1:] + else: + new_substr = "\\sqrt" + split + new_string += new_substr + return new_string + + +def strip_string(string): + # linebreaks + string = string.replace("\n", "") + + # remove inverse spaces + string = string.replace("\\!", "") + + # replace \\ with \ + string = string.replace("\\\\", "\\") + + # replace tfrac and dfrac with frac + string = string.replace("tfrac", "frac") + string = string.replace("dfrac", "frac") + + # remove \left and \right + string = string.replace("\\left", "") + string = string.replace("\\right", "") + + # Remove circ (degrees) + string = string.replace("^{\\circ}", "") + string = string.replace("^\\circ", "") + + # remove dollar signs + string = string.replace("\\$", "") + + # remove units (on the right) + string = remove_right_units(string) + + # remove percentage + string = string.replace("\\%", "") + string = string.replace("\%", "") # noqa: W605 + + # " 0." equivalent to " ." and "{0." equivalent to "{." Alternatively, add "0" if "." is the start of the string + string = string.replace(" .", " 0.") + string = string.replace("{.", "{0.") + # if empty, return empty string + if len(string) == 0: + return string + if string[0] == ".": + string = "0" + string + + # to consider: get rid of e.g. "k = " or "q = " at beginning + if len(string.split("=")) == 2: + if len(string.split("=")[0]) <= 2: + string = string.split("=")[1] + + # fix sqrt3 --> sqrt{3} + string = fix_sqrt(string) + + # remove spaces + string = string.replace(" ", "") + + # \frac1b or \frac12 --> \frac{1}{b} and \frac{1}{2}, etc. Even works with \frac1{72} (but not \frac{72}1). Also does a/b --> \\frac{a}{b} + string = fix_fracs(string) + + # manually change 0.5 --> \frac{1}{2} + if string == "0.5": + string = "\\frac{1}{2}" + + # NOTE: X/Y changed to \frac{X}{Y} in dataset, but in simple cases fix in case the model output is X/Y + string = fix_a_slash_b(string) + + return string + + + + + + + + + + + + + +def extract_answer(text: str) -> str: + if "\\boxed" in text: + return remove_boxed(last_boxed_only_string(text)) + elif "Answer:" in text: + return text.split("Answer:")[-1] + elif "###" in text: + return text.split("###")[-1] + else: + return text + +def compare_answers(y_true, y_pred): + # preprocess both answers + y_true = extract_answer(y_true) + y_pred = extract_answer(y_pred) + try: + true_expr = sympy.sympify(true_answer) + model_expr = sympy.sympify(model_answer) + return sympy.simplify(true_expr - model_expr) == 0 + except (sympy.SympifyError, TypeError): + # Fallback to string comparison + return true_answer.strip() == model_answer.strip() \ No newline at end of file diff --git a/models/generator.py b/models/generators.py similarity index 90% rename from models/generator.py rename to models/generators.py index 35a4d3c4..25ec2116 100644 --- a/models/generator.py +++ b/models/generators.py @@ -379,7 +379,20 @@ def embed(self, x): """Embed the input using the underlying model's embedding.""" return self.model.embed(x) -class EntropyTemperatureGenerator(torch.nn.Module): +class BaseGenerator(torch.nn.Module): + """ TODO """ + def __init__(self, model): + super().__init__() + """ TODOD """ + self.model = model + self.device = self.model.device + + @torch.no_grad() + def generate(self, input_text): + """ TODO """ + raise NotImplementedError("Each Generator needs to implement the generate function") + +class EntropyTemperatureGenerator(BaseGenerator): ''' From: https://arxiv.org/pdf/2403.14541 Entropy based temepraure adjusts the temperature based on the entropy of the logits. @@ -481,7 +494,7 @@ def embed(self, x): -class BeamSearchGenerator(torch.nn.Module): +class BeamSearchGenerator(BaseGenerator): def __init__(self, model, generate_cfg, device="cuda"): super().__init__() self.model = model @@ -566,13 +579,13 @@ def apply_repetition_penalty(self, logits, sequence, penalty, window): logits[0, unique_tokens] /= penalty ** counts.float() -class StandardGenerator(torch.nn.Module): +class StandardGenerator(BaseGenerator): """Standard Generator Wrapper for GPT models""" def __init__(self, model, generate_cfg, device="cuda"): """Initialize the model and the configuration""" - super().__init__() - self.model = model + super().__init__(model) + # self.model = model self.device = device self.model = self.model.to(torch.device(device)) self.generate_config = generate_cfg @@ -640,6 +653,67 @@ def embed(self, x): return self.model.embed(x) + +class StandardGenerator(BaseGenerator): + """Standard Generator Wrapper for GPT models""" + + def __init__(self, model): + """Initialize the model and the configuration""" + super().__init__(model) + # self.model = model + # self.device = model.device + + @torch.no_grad() + def generate(self, input_text, max_new_tokens=100, temperature=1.0, top_k=None): + """ + Take a conditioning sequence of indices idx (LongTensor of shape (b,t)) and complete + the sequence max_new_tokens times, feeding the predictions back into the model each time. + Most likely you'll want to make sure to be in model.eval() mode of operation for this. + """ + idx = self.model.embedding_model.tokenize_input( + input_string=input_text, + add_eot=False, + truncate=True + ) + # push to device + idx = torch.tensor(idx).unsqueeze(0).to(torch.device(self.device)) + for _ in range(max_new_tokens): + # forward the model to get the logits for the index in the sequence + logits, _ = self.model.inference(idx) + # pluck the logits at the final step and scale by desired temperature + logits = logits / temperature + # logits might have shape (b,t,v) or (t,v) + # optionally crop the logits to only the top k options + if top_k is not None: + v, _ = torch.topk(logits, min(top_k, logits.size(-1))) + ## for batched logits + if len(logits.shape) == 3: + logits[logits < v[:, :, [-1]]] = -float("Inf") + ## for single logits + else: + logits[logits < v[:, [-1]]] = -float("Inf") + + # apply softmax to convert logits to (normalized) probabilities + probs = torch.nn.functional.softmax(logits, dim=-1) + + idx_next = torch.multinomial(probs, num_samples=1) + + # check if done + if idx_next == self.model.embedding_model.eot_token: + break + + idx = torch.cat((idx, idx_next), dim=1) + + return self.model.embedding_model.decode(idx.tolist()) + + def forward(self, x): + """Call the underlying model""" + return self.model(x) + + def embed(self, x): + """Embed the input""" + return self.model.embed(x) + GENERATOR_DICT = { "standard": lambda model, generate_cfg, device: StandardGenerator(model=model, generate_cfg=generate_cfg, device=device), "beam_search": lambda model, generate_cfg, device: BeamSearchGenerator(model=model, generate_cfg=generate_cfg, device=device), diff --git a/trainers/base_trainer.py b/trainers/base_trainer.py index 8c9eeca3..8387f136 100644 --- a/trainers/base_trainer.py +++ b/trainers/base_trainer.py @@ -165,10 +165,40 @@ def _setup_scaler(self, dtype=torch.float16): # self.scaler = torch.cuda.amp.GradScaler(enabled=dtype == torch.float16) self.scaler = torch.amp.GradScaler(self.model.device, enabled=dtype == torch.float16) + @torch.no_grad() + def _get_validation_loss(self, eval_iters): + """ Estimate performance on validation set """ + accumulated_loss = 0 + accumulated_aux_loss = 0 + accumulated_total_loss = 0 + + for i, (x, y) in enumerate(self.val_dataloader): + x = x.to(self.gpu_id if self.gpu_id is not None else self.model.device) + y = y.to(self.gpu_id if self.gpu_id is not None else self.model.device) + + with self.ctx: + output, aux_loss = self.model(x) + loss = self.loss_fn(output, y) + + accumulated_loss += loss.item() + if aux_loss is not None: + total_loss = aux_loss + loss + accumulated_aux_loss += aux_loss.item() + accumulated_total_loss += total_loss.item() + + if eval_iters is not None and i>= eval_iters: + break + + return { + "Validation/loss": accumulated_loss/eval_iters, + "Validation/aux_loss": accumulated_aux_loss/eval_iters, + "Validation/total_loss": accumulated_total_loss/eval_iters + } + @torch.no_grad() def estimate_performance(self, iter_num, eval_iters=None): - """Estimate the loss""" + """Estimate the model performance""" # Initialize eval results eval_results = { "iter": iter_num, @@ -177,143 +207,31 @@ def estimate_performance(self, iter_num, eval_iters=None): * self.gradient_accumulation_steps * iter_num * self.cfg.model["context_window"] - * torch.cuda.device_count() if torch.cuda.is_available() else 1 # To account for the divided accumulation steps + * (torch.cuda.device_count() if torch.cuda.is_available() else 1) # To account for the divided accumulation steps ), } # Make sure the model is in eval mode self.model.eval() - # try the evaluator - eval_results.update( - intra_training_evaluation( - model=self.model, - benchmarks=self.cfg["trainer"]["eval"].get("benchmarks", []), - ) - ) - - # Initialize accumulators - total_loss = 0.0 - total_bytes = 0 - total_token_count = 0 # For regular loss and perplexity - - # Initialize accumulators for byte-level metrics - total_byte_loss = 0.0 - - # Determine the device - device = self.gpu_id if self.gpu_id is not None else self.model.device - - for i, (x, y) in enumerate(self.val_dataloader): - # Move tensors to the appropriate device - x = x.to(device) - y = y.to(device) - - with self.ctx: - output, _ = self.model(x) - loss = torch.nn.functional.cross_entropy( - output.view(-1, output.size(-1)), - y.view(-1), - reduction='sum' - ) + # run the model on external eval sets + eval_results.update(intra_training_evaluation( + model=self.model, + benchmarks=self.cfg["trainer"]["eval"].get("benchmarks", []), + )) - # Accumulate token-level metrics - total_loss += loss.item() - total_token_count += y.numel() # Use numel() for total tokens - - if self.evaluate_byte_metrics: - # Compute byte counts for current batch - y_tokens = y.view(-1).cpu().numpy() - byte_counts = self.model.embedding_model.get_byte_lengths(y_tokens) - batch_byte_count = byte_counts.sum() - total_bytes += batch_byte_count - - # Accumulate byte-level loss - avg_loss_per_token = loss.item() / y.numel() - total_byte_loss += avg_loss_per_token * batch_byte_count - - # Check if we've reached the evaluation iteration limit - if eval_iters is not None and i >= eval_iters: - break - - # Calculate average metrics - avg_loss = total_loss / total_token_count if total_token_count > 0 else float('inf') - avg_perplexity = np.exp(avg_loss) if avg_loss < 100 else float('inf') # Avoid overflow - - # Store in eval_results - eval_results["Validation/Loss"] = aggregate_value(avg_loss, self.cfg.general.device) - eval_results["Validation/Perplexity"] = aggregate_value(avg_perplexity, self.cfg.general.device) - - if self.evaluate_byte_metrics: - if total_bytes > 0: - avg_byte_loss = aggregate_value(total_byte_loss, self.cfg.general.device) / total_bytes - avg_byte_perplexity = np.exp(avg_byte_loss) if avg_byte_loss < 100 else float('inf') # Avoid overflow - else: - avg_byte_loss = float('inf') - avg_byte_perplexity = float('inf') - - # Byte-normalized metrics - eval_results["Validation/Loss (Bytes)"] = avg_byte_loss - eval_results["Validation/Perplexity (Bytes)"] = avg_byte_perplexity - - - - - # # get the mcq eval results - # eval_results.update( - # train_eval_mcq( - # model=self.model, - # num_samples=self.cfg["trainer"]["eval"].get("mcq_num_samples", None), - # benchmark_list=self.cfg["trainer"]["eval"].get("mcq_benchmarks", []), - # ) - # ) - - # # get the text modeling eval results - # if self.cfg["trainer"]["eval"].get("text_modeling_eval", False): - # eval_results.update( - # train_eval_text_modeling( - # model=self.model, - # topic_list=self.cfg["trainer"]["eval"].get("text_modeling_topics", []), - # ) - # ) - - # # get the text generation eval results - # if self.cfg["trainer"]["eval"].get("text_generation_eval", False): - # text_generation_results, text_generation_sample_html = train_eval_text_generation( - # model=self.model - # ) - # eval_results.update(text_generation_results) - # eval_results.update({ - # "Generated Text": wandb.Html( - # text_generation_sample_html - # ) - # }) - - # # get the free form eval results - # eval_results.update( - # train_free_form( - # model=self.model, - # num_samples=self.cfg["trainer"]["eval"].get("free_form_num_sampels", None), - # benchmark_list=self.cfg["trainer"]["eval"].get("free_form_benchmarks", []) - # ) - # ) - - - - # set model back into train mode - self.model.train() + # get validation loss + eval_results.update(self._get_validation_loss(eval_iters=eval_iters)) # print the eval results - print_evaluation_results( - iter_num=iter_num, - eval_results=eval_results - ) + print_evaluation_results(iter_num=iter_num, eval_results=eval_results) # log the evaluation results if (self.gpu_id==0 or self.gpu_id is None) and self.use_wandb: # ensure only the first GPU logs - wandb.log( - eval_results, - step=eval_results["token_num"] - ) + wandb.log(eval_results, step=eval_results["token_num"]) + + # set model back into train mode + self.model.train() return eval_results @@ -385,13 +303,12 @@ def run_training_loop(self): else: lr = self.optimizer.param_groups[0]["lr"] - # estimate the loss on the train/val sets - if ( - not iter_num % self.cfg["trainer"]["eval_interval"] - ): # run on first iter to prevent bugs causing it to crash + # estimate model performance + # run on first iter to prevent bugs causing it to crash + if (not iter_num % self.cfg["trainer"]["eval_interval"]): self.estimate_performance( iter_num=iter_num, - eval_iters=self.cfg["trainer"].get("eval_iters", 100) + eval_iters=self.cfg["trainer"].get("val_loss_iters", 100) ) # save checkpoints diff --git a/trainers/utils.py b/trainers/utils.py index 87f61f38..a5e86b3c 100644 --- a/trainers/utils.py +++ b/trainers/utils.py @@ -2,7 +2,7 @@ import importlib import inspect -import os +import os, re import pkgutil import numpy as np from prettytable import PrettyTable @@ -129,71 +129,46 @@ def restore_print_override(original_print): -# Function to print evaluation results and benchmark results def print_evaluation_results(iter_num, eval_results): - val_table = PrettyTable(["Metric", "Value"]) - mcq_table = PrettyTable(["Benchmark", "Accuracy"]) - text_modeling_table = PrettyTable( - [ - "Topic", "Difficulty", "Byte Acc.", - "Byte Lev. Dist.", "Byte Perplexity" - ] - ) - text_generation_table = PrettyTable( - [ - "Metric", "Value" - ] - ) - - text_modeling_struct = {} - for eval_name in eval_results.keys(): - if "Validation" in eval_name: - val_table.add_row( - [eval_name, eval_results[eval_name]] - ) - elif "Text Modeling" in eval_name: - metric = eval_name.split(")/")[0].replace( - "Text Modeling (", "" - ) - category = eval_name.split("/")[1].split("-")[0] - difficulty = eval_name.split("/")[1].split("-")[1] - if category not in text_modeling_struct: - text_modeling_struct[category] = {} - if difficulty not in text_modeling_struct[category]: - text_modeling_struct[category][difficulty] = {} - text_modeling_struct[category][difficulty][metric] = eval_results[eval_name] - elif "MCQ" in eval_name: - mcq_table.add_row( - [eval_name, eval_results[eval_name]] - ) - elif "Text Generation" in eval_name: - text_generation_table.add_row( - [eval_name.replace('Text Generation/',''), eval_results[eval_name]] - ) - elif eval_name in ["iter", "token_num"]: - continue # skip these - else: - print(f"Eval pretty print received: {eval_name} metric without printing it. It'll still be logged in wandb") - - # populate text modeling table - for category in text_modeling_struct.keys(): - for difficulty in text_modeling_struct[category].keys(): - text_modeling_table.add_row( - [ - category, - difficulty, - text_modeling_struct[category][difficulty]["Byte Acc."], - text_modeling_struct[category][difficulty]["Byte Lev. Dist."], - text_modeling_struct[category][difficulty]["Byte Perplexity"] - ] - ) - - - print(f"Token Num: {eval_results['token_num']}\tIteration {iter_num} - Validation Results") - print(val_table) - print(f"\n MCQ Results") - print(mcq_table) - print(f"\n Text-Modeling Results") - print(text_modeling_table) - print(f"\n Text-Generation Results") - print(text_generation_table) + """ + This function processes and visualizes the evaluation results. + The input format is a dictionary where each key has a logging path/metric_name format. + Keys without the '/' should be ignored. + The function prints tables for each unique logging path. + """ + + # Keys to be ignored (e.g., 'token_num', 'iter') + ignore_keys = set(["token_num", "iter"]) + + # Filter out keys that don't have a "/" + valid_keys = {k: v for k, v in eval_results.items() if "/" in k and k.split("/")[0] not in ignore_keys} + + # Identify unique logging paths (the part before "/") + logging_paths = set([k.split("/")[0] for k in valid_keys]) + + # Dictionary to store tables for each logging path + tables = {} + + # Loop through each logging path and generate a table + for table_name in logging_paths: + # Collect columns for the table (the part after "/") + columns = sorted(set([k.split("/")[1] for k in valid_keys if table_name == k.split("/")[0]])) + + # Initialize a table with the logging path as the category and columns for the metrics + table = PrettyTable(["Evaluation"] + columns) + + # Collect values for the current logging path + row_values = {col: "" for col in columns} + for k, v in valid_keys.items(): + logging_path, col_name = k.split("/") + if logging_path == table_name: + row_values[col_name] = v + + # Add the row to the table + table.add_row([table_name] + [row_values[col] for col in columns]) + tables[table_name] = table + + # Print all tables + for table_name, table in tables.items(): + print(f"\nResults for {table_name}:") + print(table) From a4721df1d76655f527a4db4747d8e8e62c208b8c Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 11 Oct 2024 17:46:20 +0800 Subject: [PATCH 204/209] wip --- evals/evaluators/free_form_evaluator.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/evals/evaluators/free_form_evaluator.py b/evals/evaluators/free_form_evaluator.py index 093475e4..35017abe 100644 --- a/evals/evaluators/free_form_evaluator.py +++ b/evals/evaluators/free_form_evaluator.py @@ -14,7 +14,7 @@ def __init__( yield_fn: Callable, answer_extraction_function: Callable, model_wrapper: BaseModelWrapper, - model_generator: Optional[BaseGenerator] = None, # if no generated is provided, the model must be wrapped outside + model_generator, #: Optional[BaseGenerator] = None, # if no generated is provided, the model must be wrapped outside generator_params: Optional[Dict[str, Any]] = None, yield_fn_params: Optional[Dict[str, Any]] = None, eval_logging_path: Optional[str] = "FreeForm" From b061547e430a537a6ee2500ff481eb15d066f69e Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 11 Oct 2024 17:48:08 +0800 Subject: [PATCH 205/209] wip --- requirements.txt | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 77e57bcf..52c3051b 100644 --- a/requirements.txt +++ b/requirements.txt @@ -9,4 +9,5 @@ levenshtein sentencepiece textstat language-tool-python -nltk \ No newline at end of file +nltk +python-dotenv \ No newline at end of file From 77fc0684f7172f15bc36fcf57b1fcdc582a86f46 Mon Sep 17 00:00:00 2001 From: guertlerlo Date: Fri, 11 Oct 2024 17:54:38 +0800 Subject: [PATCH 206/209] wip --- configs/train/baseline-10m.yaml | 33 ++++++++++++--------------------- models/core_models.py | 2 +- 2 files changed, 13 insertions(+), 22 deletions(-) diff --git a/configs/train/baseline-10m.yaml b/configs/train/baseline-10m.yaml index afcf2144..62f0f04a 100644 --- a/configs/train/baseline-10m.yaml +++ b/configs/train/baseline-10m.yaml @@ -11,16 +11,17 @@ model: dropout: 0.0 attn: + attention_type: standard attn_type: causal num_kv_heads: 8 - num_q_heads: 8 + num_q_heads: 4 normalization: rms_norm bias: false dropout: false embedding_model_type: generic tokenizer_type: bpe - tokenizer_dataset_names: simple_en_wiki + tokenizer_dataset_names: [simple_en_wiki] tokenizer_simplify_data: true vocab_size: 4000 @@ -40,7 +41,7 @@ model: trainer: trainer_type: base_trainer - dataset: openwebtext + dataset: [simple_en_wiki] batch_size: 24 gradient_accumulation_steps: 10 @@ -51,29 +52,19 @@ trainer: eval_iters: 1000 eval: - mcq_benchmarks: - - "winogrande" - - "hellaswag" - - "arc_easy" - - "blimp" - - "piqa" - - "race_middle" - - "race_high" - - "boolq" - - "openbook_qa_closed" - - "openbook_qa_open" - - "copa" - - "commonsense_qa" - mcq_num_samples: 1000 - eval_byte_metrics: true - text_modeling_eval: true - text_generation_eval: true + benchmarks: + - MATH-small + - STLM-Text-Modeling (full) + - ArcEasy + - ArcEasySubset + # - ArcEasyLinearSubset + val_loss_iters: 1000 optimizer: optimizer_name: adamW lr: 5.0e-4 min_lr: 5.0e-5 - weight_decay: 0.01 + weight_decay: 0.1 beta1: 0.9 beta2: 0.98 grad_clip: 1.0 diff --git a/models/core_models.py b/models/core_models.py index 521d6b5a..9f136289 100644 --- a/models/core_models.py +++ b/models/core_models.py @@ -23,7 +23,7 @@ def __init__(self, model_cfg): "h": torch.nn.ModuleList( [ GenericTransformerBlock( - attention_type=model_cfg["attention_type"], + attention_type=model_cfg.get("attention_type", "standard"), hidden_dim=model_cfg["hidden_dim"], context_window=model_cfg["context_window"], use_rope=model_cfg["positional_encoding_type"] == "rope", From f958ffa719cdd3e66af77c06ae50a144d7aeb146 Mon Sep 17 00:00:00 2001 From: Dylan Hillier Date: Fri, 11 Oct 2024 23:24:14 +0800 Subject: [PATCH 207/209] partially fixes --- models/experimental/hugging_face.py | 39 ++++++++++++++--------------- 1 file changed, 19 insertions(+), 20 deletions(-) diff --git a/models/experimental/hugging_face.py b/models/experimental/hugging_face.py index a85e638d..cac8def0 100644 --- a/models/experimental/hugging_face.py +++ b/models/experimental/hugging_face.py @@ -32,8 +32,7 @@ def __init__(self, original_layer: nn.Linear, r=8, lora_alpha=32, lora_dropout=0 def forward(self, x): # Perform the forward pass of the original linear layer original_output = self.original_layer(x) - print(x.shape, self.lora_A.shape, self.lora_B.shape, original_output.shape, self.original_layer.weight.shape) - + # Compute the LoRA output lora_out = self.lora_dropout(x @ self.lora_A) @ self.lora_B @@ -58,10 +57,11 @@ def build_model(model_cfg): model = AutoModelForCausalLM.from_pretrained( model_str, trust_remote_code=True, - attn_implementation=attn_impl, - torch_dtype=torch.float32, + # attn_implementation=attn_impl, + # torch_dtype=torch.float16, token=os.getenv("HF_TOKEN") ) + model.half() use_lora = model_cfg.get("use_lora", False) if use_lora: targets = model_cfg.get("lora_targets", []) @@ -69,25 +69,20 @@ def build_model(model_cfg): for name, param in model.named_parameters(): if "lora" not in name: param.requires_grad = False - print(f"Freezing {name}.") # Iterate over the model modules to find the target layers and replace them with LoRA layers for target in targets: for name, module in model.named_modules(): if target in name and isinstance(module, nn.Linear): - print(f"Found target layer {name}.") # Replace the module with a LoRALayer (wrap the original Linear layer) - print(f"Replacing {name} with LoRA layer. OG shape: {module.weight.shape}") lora_layer = LoRALinear(module) - print(f"New shape: {lora_layer.lora_A.shape} x {lora_layer.lora_B.shape}") # We need to set the new LoRA layer into the model hierarchy parent_name, attr_name = name.rsplit('.', 1) # Split the module name to get parent and attribute parent_module = dict(model.named_modules())[parent_name] # Access the parent module setattr(parent_module, attr_name, lora_layer) - print(f"Replaced {name} with LoRA layer.") # quantize = model_cfg.get("quantize", False) # if quantize: @@ -139,6 +134,8 @@ def __init__(self, model_cfg): model_string = model_cfg["model_string"] self.tokenizer = HFTokenizerWrapper(model_string) self.embeddings = build_model(model_cfg).get_input_embeddings() + # clear torch memory + torch.cuda.empty_cache() def decode(self, token_ids): """ @@ -188,23 +185,21 @@ class HFTransformerCore(torch.nn.Module): def __init__(self, model_cfg): super().__init__() self.model = build_model(model_cfg = model_cfg) - - if model_cfg.get("freeze", True): - ## freeze the parameters - print("Note: Freezing the parameters of the hf_core model.") - for param in self.model.parameters(): - param.requires_grad = False + # del the models' embeddings and head + del self.model.model.embed_tokens + # del self.model.lm_head def forward(self, x): """ Calls the huggingface model in question, and returns the last hidden state. """ ## get the hidden states - hidden_states = self.model(inputs_embeds = x, output_hidden_states = True).hidden_states + output = self.model(inputs_embeds = x) + return output.logits - ## return the last hidden state - if isinstance(hidden_states, tuple): - return hidden_states[-1] + # ## return the last hidden state + # if isinstance(hidden_states, tuple): + # return hidden_states[-1] @@ -215,7 +210,11 @@ class HFLMHead(torch.nn.Module): def __init__(self, model_cfg): super().__init__() - self.lm_head = build_model(model_cfg = model_cfg).get_output_embeddings() + # self.lm_head = build_model(model_cfg = model_cfg).get_output_embeddings() + self.lm_head = nn.Identity() + # clear torch memory + torch.cuda.empty_cache() + def forward(self, x): """ From 33ac888d4f8d24f99bb5a4a2d42886bad6c153e2 Mon Sep 17 00:00:00 2001 From: Dylan Hillier Date: Fri, 11 Oct 2024 23:25:03 +0800 Subject: [PATCH 208/209] adds llama config --- configs/train/llama.yaml | 110 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 110 insertions(+) create mode 100644 configs/train/llama.yaml diff --git a/configs/train/llama.yaml b/configs/train/llama.yaml new file mode 100644 index 00000000..9842608a --- /dev/null +++ b/configs/train/llama.yaml @@ -0,0 +1,110 @@ +model: + core_model_type: hf_core + # num_layers: 1 + model_string: "meta-llama/Llama-3.2-1B" + use_lora: true + lora_targets: ["q_proj", "k_proj", "v_proj", "c_proj", "gate_proj", "up_proj", "down_proj"] + # freeze: true + # ffn: + # ffn_type: generic + # ffn_dim: 3072 + # activation: gelu + # normalization: rms_norm + # bias: false + # dropout: 0.0 + + # attn: + # attn_type: causal + # num_kv_heads: 12 + # num_q_heads: 4 + # normalization: rms_norm + # bias: false + # dropout: false + + embedding_model_type: hf_embedder + tokenizer_type: hf + # tokenizer_dataset_name: en_wiki + # tokenizer_simplify_data: true + vocab_size: 128255 + + # hidden_dim: 768 + context_window: 4096 + + lm_head_type: hf_head + # lm_head_normalization: rms_norm + # lm_head_bias: false + # lm_head_dropout: 0.0 + + model_shell_type: standard + embedding_weight_tying: false + ffn_weight_tying: false + cproj_weight_tying: false + # positional_encoding_type: rope + +trainer: + trainer_type: base_trainer + dataset: simple_en_wiki + batch_size: 1 + gradient_accumulation_steps: 2 + + max_iters: 50000 + eval_interval: 5000 + log_interval: 10 + checkpoint_interval: 10000 + eval_iters: 100 + + eval: + #mcq_benchmarks: + # - "winogrande" + # - "hellaswag" + # - "arc_easy" + # - "blimp" + # - "piqa" + # - "race_middle" + # - "race_high" + # - "boolq" + # - "openbook_qa_closed" + # - "openbook_qa_open" + # - "copa" + # - "commonsense_qa" + #mcq_num_samples: 500 + eval_byte_metrics: false + text_modeling_eval: false + text_generation_eval: false + + optimizer: + optimizer_name: adamW + lr: 6.0e-6 + min_lr: 6.0e-8 + weight_decay: 0.1 + beta1: 0.9 + beta2: 0.95 + grad_clip: 1.0 + + lr_scheduler: + name: cosine + warmup_iters: 5000 + + dataloader: + name: standard + + datasampling: + name: standard + + loss_fn: + name: cross_entropy + +general: + logging: + wandb_log: true + wandb_project: SuperTinyLanguageModels + wandb_run_name: Null + group_name: base_group + + paths: + output_dir: outputs + data_dir: data + checkpoint_dir: checkpoints + eval_dir: evals + seed: 489 + device: cuda From 96083ae23ad255024c6fcb487935d68c0049b541 Mon Sep 17 00:00:00 2001 From: bobbycxy Date: Sat, 12 Oct 2024 10:02:11 +0800 Subject: [PATCH 209/209] data generation strategy --- configs/process_generation.yaml | 13 ++ configs/process_strategy/mcts.yaml | 6 + configs/process_strategy/standard.yaml | 3 + data_generation.py | 78 +++++++++ models/build_models.py | 2 + models/components/utils/generation_utils.py | 174 ++++++++++++++++++++ models/generators.py | 18 +- models/model_shell.py | 32 ++++ 8 files changed, 323 insertions(+), 3 deletions(-) create mode 100644 configs/process_generation.yaml create mode 100644 configs/process_strategy/mcts.yaml create mode 100644 configs/process_strategy/standard.yaml create mode 100644 data_generation.py create mode 100644 models/components/utils/generation_utils.py diff --git a/configs/process_generation.yaml b/configs/process_generation.yaml new file mode 100644 index 00000000..73c6fdce --- /dev/null +++ b/configs/process_generation.yaml @@ -0,0 +1,13 @@ +defaults: + - generator: beam_search + - process_strategy: standard + - _self_ +model_ckpt: "checkpoints/...pt" +value_model_ckpt: "checkpoints/...pt" +attention_type: standard_detailed +samples_per_input_text: 20 +output_path: "outputs/" +step_token: "[/step]" + +## input_text should be a filepath? +# input_text: "Earth is the third planet from the Sun and the only astronomical object known to harbor life. This is enabled by Earth being an ocean world, the only one in the Solar System sustaining liquid surface water." diff --git a/configs/process_strategy/mcts.yaml b/configs/process_strategy/mcts.yaml new file mode 100644 index 00000000..e9e0ec6a --- /dev/null +++ b/configs/process_strategy/mcts.yaml @@ -0,0 +1,6 @@ +type: mcts +max_process_tokens: 200 +max_tree_depth: 5 +max_child_nodes: 3 +value_threshold: 0.5 +expansion_prompt: "In one sentence, can you further explain the reasoning of '{reasoning}'?" \ No newline at end of file diff --git a/configs/process_strategy/standard.yaml b/configs/process_strategy/standard.yaml new file mode 100644 index 00000000..67a0be07 --- /dev/null +++ b/configs/process_strategy/standard.yaml @@ -0,0 +1,3 @@ +type: standard +max_process_tokens: 200 +value_threshold: 0.5 \ No newline at end of file diff --git a/data_generation.py b/data_generation.py new file mode 100644 index 00000000..378254eb --- /dev/null +++ b/data_generation.py @@ -0,0 +1,78 @@ +""" +A collection of data generating strategies that are used by the model to generate +data responses for any given input, which the model can then use to train further. + +The data generation strategies will can range from simple data generation strategies +to monte carlo tree search strategies. +""" + +import hydra +import torch + +from models.build_models import build_model +from models.components.utils.generation_utils import get_generator_type + +@hydra.main(config_path="configs", config_name="process_generation") +def main(cfg): + # set the checkpoint path to absolute path + cfg["model_ckpt"] = hydra.utils.to_absolute_path(cfg["model_ckpt"]) + cfg["value_model_ckpt"] = hydra.utils.to_absolute_path(cfg["value_model_ckpt"]) + + device = "cpu" if not torch.cuda.is_available() else "cuda" + + ## load the base model + model, _ = build_model( + checkpoint_path=cfg["model_ckpt"], + device=device, + attention_type=cfg["attention_type"] + ) + model.eval() # ensure that is in eval mode + + ## load the value model + value_model, _ = build_model( + checkpoint_path=cfg["value_model_ckpt"], + device=device, + attention_type=cfg["attention_type"] + ) + value_model.eval() # ensure that is in eval mode + + ## get the generator type based on the strategy provided in the config + ## the strategy should have the + generator = get_generator_type( + model=model, + value_model=value_model, + generate_cfg=cfg["generator"], + strategy_cfg=cfg["process_strategy"], + device=device + ) + + ## load the input text which can be as a list or a dataset from huggingface. + input_text = cfg["input_text"] ## TODO - dataloader or just self inserted in .yaml + if isinstance(input_text, str): + input_text = [input_text] + + ## generate N responses for each input text + ## can this be made more efficient? + N = cfg["samples_per_input_text"] + input_text_data = [] + generated_data = [] + generated_values = [] + + for text in input_text: + for _ in range(N): + generated_text, value = generator.generate_data(text) ## value *= + if value > cfg["process_strategy"]["value_threshold"]: ## only store the responses that are above the value threshold + input_text_data.append(text) + generated_data.append("".join(generated_text)) + generated_values.append(value) + + ## save the generated data responses and the value of the responses ## TODO + with open(cfg["output_path"], "w") as f: + f.write("Input Text,Generated Text,Value\n") + for input_text, generated_text, value in zip(input_text_data, generated_data, generated_values): + f.write(f"{input_text},{generated_text},{value}\n") + +if __name__ == "__main__": + # pylint: disable=no-value-for-parameter + main() + # pylint: enable=no-value-for-parameter \ No newline at end of file diff --git a/models/build_models.py b/models/build_models.py index af2c17b3..f4124a4a 100644 --- a/models/build_models.py +++ b/models/build_models.py @@ -50,6 +50,8 @@ def build_model(model_cfg=None, checkpoint_path=None, device="cuda", **kwargs): if checkpoint["config"]["model"].get("attention_type", None) is None: cfg = OmegaConf.create({"attention_type": f"{kwargs.get('attention_type', 'standard')}"}) checkpoint['config']['model'] = OmegaConf.merge(cfg, checkpoint['config']['model']) + elif checkpoint["config"]["model"].get("attention_type", None) == "standard": + checkpoint["config"]["model"]["attention_type"] = f"{kwargs.get('attention_type', 'standard')}" model = initialize_model(checkpoint["config"]["model"]) diff --git a/models/components/utils/generation_utils.py b/models/components/utils/generation_utils.py new file mode 100644 index 00000000..3309ff63 --- /dev/null +++ b/models/components/utils/generation_utils.py @@ -0,0 +1,174 @@ +""" +Build the data generation types specified in the given config. + +Two methods are used. + +The first method is to use the given text generation strategy (e.g. standard, beam search, etc) +to generate N data responses for a given input text, up till length L. The value model is then used +to evaluate the data responses generated by giving it a score. Sorting them by rank, the top R data +responses are then saved and extracted. + +The second method is to use the given text generation strategy (e.g. standard, beam search, etc) +and use the given input text to build a Monte-Carlo Tree Search (MCTS) tree up to depth K. At +each step, the value model is used to evaluate the data responses generated by giving it a score. +The best child node response is then selected and the MCTS tree is updated. This process is repeated +till the end of the tree. Based on the tree, the top R data responses are then saved and extracted. +""" + +from models.generators import build_generator + +class StandardDataGenerator: + """ + Standard data generation strategy + """ + def __init__(self, model, value_model, generate_cfg, strategy_cfg, device): + self.model = model + self.value_model = value_model + self.generate_cfg = generate_cfg + self.strategy_cfg = strategy_cfg + self.device = device + + def generate_data(self, input_text): + """ + Generate data using the standard generation strategy + """ + generator = build_generator( + model=self.model, + generate_cfg=self.generate_cfg, + device=self.device + ) + + # generate the text + generated_text = generator.default_generate( + input_text=input_text ## TODO - any supporting prompts + ) + + # step value evaluation + text = "".join(generated_text) + value = self.value_model.evaluate( + model_input=text, + token=self.strategy_cfg["step_token"] + ) + value = 1 + for v in value: + value *= v + + return generated_text, value + +class Node: + """ + Node class for MCTS + """ + def __init__(self, parent, value, text): + self.parent = parent + self.children = [] + self.value = value + self.text = text + +class MCTSDataGenerator: + """ + Monte-Carlo Tree Search data generation strategy + """ + def __init__(self, model, value_model, generate_cfg, strategy_cfg, device): + self.model = model + self.value_model = value_model + self.generate_cfg = generate_cfg + self.strategy_cfg = strategy_cfg + self.device = device + + def generate_data(self, input_text): + """ + Generate data using the MCTS generation strategy. Basically build a tree and select the best child node + at each step. + """ + root = Node(None, 0, input_text) + nodes = [root] + + for _ in range(self.strategy_cfg["max_tree_depth"]): + new_nodes = [] + for node in nodes: + # expand the node + child_prompts = self._generate_child_prompts(node.prompt, num_samples=self.strategy_cfg['max_child_nodes']) + for prompt in child_prompts: + child = Node(node, 0, prompt) + node.children.append(child) + new_nodes.append(child) + # evaluate the nodes by assigning them a value + self._score_nodes(new_nodes) + # select the best child node + best_child = self._select_best_child(node) + nodes = [best_child] + + return self._stitch_responses(best_child) + + + def _generate_child_prompts(self, prompt, num_samples): + """ + Generate child prompts + """ + generator = build_generator( + model=self.model, + generate_cfg=self.generate_cfg, + device=self.device + ) + + child_prompts = [] + for _ in range(num_samples): + generated_text = generator.default_generate( + input_text=self.strategy_cfg["expansion_prompt"].format(prompt) ## !! TODO - check if this is buggy + ) + generated_text = "".join(generated_text) + child_prompts.append(generated_text) + return child_prompts + + def _score_nodes(self, nodes): + """ + Score the nodes + """ + for node in nodes: + node.value = self.value_model.evaluate( + generated_text=node.text + ) + + def _select_best_child(self, node): + """ + Select the best child node + """ + best_child = None + best_score = -1 + for child in node.children: + if child.value > best_score: + best_child = child + best_score = child.value + return best_child + + def _stitch_responses(self, node): + """ + Stitch the responses together + """ + responses = [] + value = 1 + while node is not None: + responses.append(node.text) + value *= node.value + node = node.parent + return responses[::-1], value ## reverse the responses + + + +GENERATION_STRATEGIES = { + "standard": lambda model, value_model, generate_cfg, strategy_cfg, device: StandardDataGenerator(model, value_model, generate_cfg, strategy_cfg, device), + "mcts": lambda model, value_model, generate_cfg, strategy_cfg, device: MCTSDataGenerator(model, value_model, generate_cfg, strategy_cfg, device) +} + +def get_generator_type(model, value_model, generate_cfg, strategy_cfg, device): + """ + Get the generator type based on the strategy + """ + return GENERATION_STRATEGIES[strategy_cfg['name']]( + model=model, + value_model=value_model, + generate_cfg=generate_cfg, + strategy_cfg=strategy_cfg, + device=device + ) \ No newline at end of file diff --git a/models/generators.py b/models/generators.py index 25ec2116..1b1a0fac 100644 --- a/models/generators.py +++ b/models/generators.py @@ -657,11 +657,23 @@ def embed(self, x): class StandardGenerator(BaseGenerator): """Standard Generator Wrapper for GPT models""" - def __init__(self, model): + def __init__(self, model, generate_cfg, device="cuda"): """Initialize the model and the configuration""" super().__init__(model) - # self.model = model - # self.device = model.device + self.device = device + self.model = self.model.to(torch.device(device)) + self.generate_config = generate_cfg + + def default_generate(self, input_text): + """ + Generate text using the default generation method + """ + return self.generate( + input_text, + self.generate_config["max_new_tokens"], + self.generate_config["temperature"], + self.generate_config["top_k"], + ) @torch.no_grad() def generate(self, input_text, max_new_tokens=100, temperature=1.0, top_k=None): diff --git a/models/model_shell.py b/models/model_shell.py index 0cba3456..500464b2 100644 --- a/models/model_shell.py +++ b/models/model_shell.py @@ -119,6 +119,38 @@ def loglikelihood(self, prefixes, continuations): ll = ll * mask ll = ll.view(input_tensor.size(0), -1).sum(dim=1) return -ll + + @torch.no_grad() + def evaluate(self, model_input, token=None): + """ + Evaluate the model on the input text. Then, fetch the log likelihood of the specified token_ids + Args: + input_text: str + fetch_token_id: int + + Returns: + ll: torch.tensor(B) + """ + # check if input is string + if isinstance(model_input, str): + # use inference function of the embedding model + model_input = self.embedding_model.tokenize_input(model_input, truncate=True, add_eot=False) # tokenize input, shape (S,) + x = torch.tensor(model_input, device=self.device, dtype=torch.long).unsqueeze(0) # convert to tensor, shape (B, S) + x = self.embedding_model(model_input) # pass through the embedding model + x = self.core_model(x) # pass through the core model + + if token is None: + # if token is None, return the final token logits + values = [self.model_head.inference(x)] + return values + else: + # if token is not None, return the logits at the given token's indexes + x = self.model_head(x) # pass through the model head + token_id = self.embedding_model.tokenizer.token_to_id(token) # get the token_id + step_indices = [i for i, token in enumerate(x[0]) if token == token_id] # get the indices of the token_id + values = x[:, step_indices] # get the values of the token_id + values = values.squeeze(0) # remove the batch dimension + return values @torch.no_grad()