POS tagging using modified Viterbi

Data Preparation


In [75]:
#Importing libraries
import nltk
import random
from sklearn.model_selection import train_test_split
import numpy as np
import pandas as pd

import matplotlib.pyplot as plt
import seaborn as sns

import time


nltk.download('treebank')
nltk.download('universal_tagset')


[nltk_data] Downloading package treebank to /root/nltk_data...
[nltk_data]   Package treebank is already up-to-date!
[nltk_data] Downloading package universal_tagset to /root/nltk_data...
[nltk_data]   Package universal_tagset is already up-to-date!
Out[75]:
True

In [17]:
# reading the Treebank tagged sentences
nltk_data = list(nltk.corpus.treebank.tagged_sents(tagset='universal'))

Exploring and Processing Data


In [18]:
#check some details 
print(nltk_data[:5])


[[('Pierre', 'NOUN'), ('Vinken', 'NOUN'), (',', '.'), ('61', 'NUM'), ('years', 'NOUN'), ('old', 'ADJ'), (',', '.'), ('will', 'VERB'), ('join', 'VERB'), ('the', 'DET'), ('board', 'NOUN'), ('as', 'ADP'), ('a', 'DET'), ('nonexecutive', 'ADJ'), ('director', 'NOUN'), ('Nov.', 'NOUN'), ('29', 'NUM'), ('.', '.')], [('Mr.', 'NOUN'), ('Vinken', 'NOUN'), ('is', 'VERB'), ('chairman', 'NOUN'), ('of', 'ADP'), ('Elsevier', 'NOUN'), ('N.V.', 'NOUN'), (',', '.'), ('the', 'DET'), ('Dutch', 'NOUN'), ('publishing', 'VERB'), ('group', 'NOUN'), ('.', '.')], [('Rudolph', 'NOUN'), ('Agnew', 'NOUN'), (',', '.'), ('55', 'NUM'), ('years', 'NOUN'), ('old', 'ADJ'), ('and', 'CONJ'), ('former', 'ADJ'), ('chairman', 'NOUN'), ('of', 'ADP'), ('Consolidated', 'NOUN'), ('Gold', 'NOUN'), ('Fields', 'NOUN'), ('PLC', 'NOUN'), (',', '.'), ('was', 'VERB'), ('named', 'VERB'), ('*-1', 'X'), ('a', 'DET'), ('nonexecutive', 'ADJ'), ('director', 'NOUN'), ('of', 'ADP'), ('this', 'DET'), ('British', 'ADJ'), ('industrial', 'ADJ'), ('conglomerate', 'NOUN'), ('.', '.')], [('A', 'DET'), ('form', 'NOUN'), ('of', 'ADP'), ('asbestos', 'NOUN'), ('once', 'ADV'), ('used', 'VERB'), ('*', 'X'), ('*', 'X'), ('to', 'PRT'), ('make', 'VERB'), ('Kent', 'NOUN'), ('cigarette', 'NOUN'), ('filters', 'NOUN'), ('has', 'VERB'), ('caused', 'VERB'), ('a', 'DET'), ('high', 'ADJ'), ('percentage', 'NOUN'), ('of', 'ADP'), ('cancer', 'NOUN'), ('deaths', 'NOUN'), ('among', 'ADP'), ('a', 'DET'), ('group', 'NOUN'), ('of', 'ADP'), ('workers', 'NOUN'), ('exposed', 'VERB'), ('*', 'X'), ('to', 'PRT'), ('it', 'PRON'), ('more', 'ADV'), ('than', 'ADP'), ('30', 'NUM'), ('years', 'NOUN'), ('ago', 'ADP'), (',', '.'), ('researchers', 'NOUN'), ('reported', 'VERB'), ('0', 'X'), ('*T*-1', 'X'), ('.', '.')], [('The', 'DET'), ('asbestos', 'NOUN'), ('fiber', 'NOUN'), (',', '.'), ('crocidolite', 'NOUN'), (',', '.'), ('is', 'VERB'), ('unusually', 'ADV'), ('resilient', 'ADJ'), ('once', 'ADP'), ('it', 'PRON'), ('enters', 'VERB'), ('the', 'DET'), ('lungs', 'NOUN'), (',', '.'), ('with', 'ADP'), ('even', 'ADV'), ('brief', 'ADJ'), ('exposures', 'NOUN'), ('to', 'PRT'), ('it', 'PRON'), ('causing', 'VERB'), ('symptoms', 'NOUN'), ('that', 'DET'), ('*T*-1', 'X'), ('show', 'VERB'), ('up', 'PRT'), ('decades', 'NOUN'), ('later', 'ADJ'), (',', '.'), ('researchers', 'NOUN'), ('said', 'VERB'), ('0', 'X'), ('*T*-2', 'X'), ('.', '.')]]

In [33]:
# we will need to split here as train and test needs to happen on entire sentences
# Splitting into train and test
random.seed(100)
train_set, validation_set = train_test_split(nltk_data,test_size=0.05)

print("Total Training Sentences  : " + str(len(train_set)))
print("Total Validations Sentences : " + str(len(validation_set)))
print(train_set[:5])


Total Training Sentences  : 3718
Total Validations Sentences : 196
[[('But', 'CONJ'), ('a', 'DET'), ('1948', 'NUM'), ('law', 'NOUN'), ('barred', 'VERB'), ('the', 'DET'), ('``', '.'), ('dissemination', 'NOUN'), ("''", '.'), ('of', 'ADP'), ('that', 'DET'), ('material', 'NOUN'), ('in', 'ADP'), ('the', 'DET'), ('U.S.', 'NOUN'), ('.', '.')], [('Mr.', 'NOUN'), ('Spiegel', 'NOUN'), ("'s", 'PRT'), ('next', 'ADJ'), ('career', 'NOUN'), ('move', 'NOUN'), ('is', 'VERB'), ('a', 'DET'), ('subject', 'NOUN'), ('of', 'ADP'), ('speculation', 'NOUN'), ('on', 'ADP'), ('Wall', 'NOUN'), ('Street', 'NOUN'), ('.', '.')], [('Traders', 'NOUN'), ('said', 'VERB'), ('0', 'X'), ('prices', 'NOUN'), ('also', 'ADV'), ('were', 'VERB'), ('supported', 'VERB'), ('*-1', 'X'), ('by', 'ADP'), ('widespread', 'ADJ'), ('rumors', 'NOUN'), ('that', 'ADP'), ('the', 'DET'), ('Soviet', 'NOUN'), ('Union', 'NOUN'), ('is', 'VERB'), ('on', 'ADP'), ('the', 'DET'), ('verge', 'NOUN'), ('of', 'ADP'), ('*', 'X'), ('receiving', 'VERB'), ('most', 'ADV'), ('favored', 'ADJ'), ('nation', 'NOUN'), ('status', 'NOUN'), ('from', 'ADP'), ('the', 'DET'), ('U.S.', 'NOUN'), ('.', '.')], [('This', 'DET'), ('being', 'VERB'), ('Britain', 'NOUN'), (',', '.'), ('no', 'DET'), ('woman', 'NOUN'), ('has', 'VERB'), ('filed', 'VERB'), ('an', 'DET'), ('equal-opportunity', 'NOUN'), ('suit', 'NOUN'), (',', '.'), ('but', 'CONJ'), ('the', 'DET'), ('extent', 'NOUN'), ('of', 'ADP'), ('the', 'DET'), ('problem', 'NOUN'), ('surfaced', 'VERB'), ('this', 'DET'), ('summer', 'NOUN'), ('in', 'ADP'), ('a', 'DET'), ('series', 'NOUN'), ('of', 'ADP'), ('letters', 'NOUN'), ('to', 'PRT'), ('``', '.'), ('The', 'DET'), ('Ringing', 'NOUN'), ('World', 'NOUN'), (',', '.'), ("''", '.'), ('a', 'DET'), ('weekly', 'ADJ'), ('newspaper', 'NOUN'), ('for', 'ADP'), ('ringers', 'NOUN'), ('.', '.')], [('Stephen', 'NOUN'), ('Salmore', 'NOUN'), (',', '.'), ('a', 'DET'), ('political', 'ADJ'), ('scientist', 'NOUN'), ('at', 'ADP'), ('New', 'NOUN'), ('Jersey', 'NOUN'), ("'s", 'PRT'), ('Eagleton', 'NOUN'), ('Institute', 'NOUN'), (',', '.'), ('says', 'VERB'), ('0', 'X'), ('it', 'PRON'), ("'s", 'VERB'), ('another', 'DET'), ('example', 'NOUN'), ('of', 'ADP'), ('an', 'DET'), ('ad', 'NOUN'), ('that', 'DET'), ('*T*-1', 'X'), ("'s", 'VERB'), ('true', 'ADJ'), ('but', 'CONJ'), ('not', 'ADV'), ('fully', 'ADV'), ('accurate', 'ADJ'), ('.', '.')]]

In [34]:
# Create List of Word and Tokens
WordTagPairList = [pair for sent in train_set for pair in sent]
print(WordTagPairList[:5])


[('But', 'CONJ'), ('a', 'DET'), ('1948', 'NUM'), ('law', 'NOUN'), ('barred', 'VERB')]

In [40]:
# Finding Total Data, Unique words and Tags
print("Total Word Tag Pairs : " + str(len(WordTagPairList))) 

wordTokens = [pair[0] for pair in WordTagPairList]
tagTokens = [pair[1] for pair in WordTagPairList]

#Unique word tokens is the vocabulary
Vocab = set(wordTokens)
#Unique Tags are the tag set
TagSet = set(tagTokens)

print("Vocab List : " +str(Vocab))
print("Unique Vocab Size : " + str(len(Vocab))) 
print ("Tags List : " + str(TagSet))
print("Unique Tags Size : " + str(len(TagSet)))


Total Word Tag Pairs : 95527
Vocab List : {'frequently', 'Piero', 'sent', '*T*-226', 'carefree', '*-83', 'Telerate', 'high-volume', 'labor-management', 'narcotics', 'vague', 'Irving', 'decorator', 'switched', 'ordering', 'diplomatic', 'two-tiered', 'retailing', 'Sable', 'research', 'established', 'Sure', 'machinery', 'symptoms', 'based', 'DD', '340,000', 'Earnings', 'organization', 'one-yen', 'revived', 'bottlenecks', 'encourage', 'grown', 'Seagate', 'Waterloo', 'partial', 'Rotie', 'monopolize', 'sought', '*T*-66', 'Heatherington', 'period', '1.35', 'hierarchical', 'Newspapers', 'Reuter', 'McDonald', 'Basic', 'consist', '14.00', 'Can', 'defined', 'Treasury', 'incest', '*T*-172', 'asset', 'non-biodegradable', 'Class', 'frantic', 'billed', '5.8', 'security', 'Nature', 'Romanee-Conti', 'expectations', 'charges', 'because', 'Lake', 'Kathryn', 'judges', '500,000', 'adviser', 'surely', 'near', 'gunship', 'single-handedly', 'Macmillan\\/McGraw-Hill', 'sources', 'fails', 'Somerset', '*T*-46', 'Security', 'Chong-sik', '3', 'Prior', 'As', 'Jeffrey', 'Of', '28.6', '11,000', 'manage', 'between', 'Small', 'Marie', 'TROUBLES', 'weighed', '3.7', 'flights', '27', 'causing', 'viewers', 'cartoonist', 'wrongdoing', 'return', 'not', 'Vega', 'formed', 'Alexander', 'open-top', 'approached', 'sold', 'standards', '5.57', 'muscling', 'Fremantle', 'passing', 'Brown', 'yen-support', 'reduce', 'hypocrisy', 'Edward', 'despise', '1,200', 'encircling', '*T*-54', 'preferred', 'defuse', 'size', 'Vos', 'initialing', 'Fundamentalists', 'modems', 'rationed', 'cutthroat', '3.4', 'CTB', 'endless', 'widgets', 'waterworks', '*T*-167', 'six', 'processes', 'reforms', 'possess', '1925', 'essays', 'protections', 'explosion', 'rebellion', 'grade', 'accordance', 'Washington-based', 'backlog', 'threatens', '8.04', '361,376', 'unveiled', 'agree', 'Thunderbird', '1,460', 'Train', 'specified', '449.04', 'believed', '14.13', 'Israel', 'exporters', 'Citadel', 'leveraging', 'Nuys', 'spurred', 'substantially', 'Goodman', 'Five', 'robbed', '858,000', 'mergers', 'disadvantage', '*-78', 'Clairton', 'judgments', '*T*-249', 'payable', 'Lurgi', 'ENDED', 'nominee', 'Gaja', 'concept', 'CLEARS', 'converted', 'Collins', 'Attwood', 'failures', 'protocols', 'July', '99', 'Drug', '*T*-151', 'survival', '6.70', 'Nagano', 'absorbed', 'rapists', '29.3', 'disapproval', 'soft', 'narrow', 'Sigmund', 'network', 'incentive-bonus', 'undercutting', 'Burgundies', 'solved', 'contacted', '*-3', 'DES', 'sheets', 'screened', 'drinks', 'Occidental', 'stars', 'reading', 'give', 'necessarily', '*T*-223', 'perpetuates', 'bridges', 'there', '33', '*-105', 'American-style', 'breathed', 'tutorials', '39', 'Publications', 'rural', 'tie-breaking', 'bottom-line', 'gave', 'Barron', 'visits', '40-year-old', 'prompted', '55-a-share', 'nullified', 'irony', 'Youths', 'chassis', 'graduated', 'Defending', 'sweatshirts', 'unenthusiastic', 'owned', 'Wells', 'speaking', 'sociology', 'stance', 'energy-services', 'together', 'Jerry', 'Winning', 'satisfactorily', 'possessed', 'Pitney', 'reeling', 'specialist', 'Haven', 'preparatives', 'forcing', 'profit', 'reap', 'ought', 'exploration', 'System', 'finished', 'Old-House', 'News', 'McMillin', 'collected', 'record-keeping', 'observed', 'Confronted', 'curse', 'continuous', 'seeks', 'possibly', 'associate', 'guarantees', '361.8', 'concerns', 'Frank', 'Michael', 'dumbfounded', 'capacity', 'repair', 'Here', 'raspberry', 'sights', 'crossing', 'hard-hitting', 'Rice', 'Herald-American', 'largely', 'U.S.-Japan', 'share', '1997', 'J.P.', 'teams', '28.25', 'ornamental', 'engineers', 'offending', 'Uncertainty', 'lines', 'Datapoint', '10th', 'Sigler', 'presidents', 'anytime', 'LANDOR', '494.50', 'Voice', '23,000', 'bowed', 'wish', 'curses', 'lenders', 'studiously', 'Wellcome', 'new', 'tender', 'motive', 'current-carrying', '*T*-103', '*T*-258', 'Crude', 'naming', 'unsettling', 'Orrick', 'crackdown', 'necks', 'Chile', 'then-Speaker', '27.1', 'LOAN', 'lost', 'diminished', '0.60', '*T*-162', '3,600', 'scandals', 'sad', 'prosecuted', 'ankle', 'on', '7.5', 'credit', 'INTERPUBLIC', 'duckling', '138', 'triple', 'A.D.', 'impartial', 'ticket', '30s', 'Montedison', 'day', 'trend', 'Mo.-based', 'fault', 'asking', 'arrangement', 'hugging', 'big-ticket', 'big-time', 'safety', 'logjam', '*T*-8', 'fast-food', 'straight', 'mixed', 'sole', 'certified', 'HHS', 'parlors', 'Compare', 'bought', 'material', 'Perch', 'Lizhi', 'asbestos-related', 'arched', 'mating', '6.4', 'later', 'model', 'tiny', 'reacted', 'Or', '*T*-111', 'rapidly', 'budding', 'meeting', '89.9', 'achievement', 'cited', 'Centers', 'discourage', 'halls', 'build', 'provoked', 'imminent', 'Mickey', 'Mayor', 'Noriega', 'Champagne', 'disk', 'vs.', 'psychiatric', 'conceivable', 'Says', 'GMAC', 'estimation', 'intervention', '*-60', 'subsidiaries', 'representatives', 'analyze', 'networks', '1.20', 'exchange', 'predicting', 'one-country', 'engineer', 'New', 'confuse', 'rallying', 'spent', 'funny', 'Carballo', 'disseminate', 'NEW', 'covers', 'cereal', 'matches', 'anticipated', 'Tailors', 'Hartford', 'white', 'Possibly', 'provides', 'counterrevolutionary', 'spend', 'involve', 'dilemma', 'Orville', 'beg', 'six-bottle', 'forthcoming', 'Egnuss', '1986-87', 'electronic', 'Rieslings', 'somehow', 'justify', 'Conference', 'agreement', 'problem', 'Lorillard', 'dirtiest', 'worked', 'seasonal', 'unexpected', 'profitable', 'texture', 'generators', 'clothing', '*T*-169', 'Materials', 'as', 'Clark', 'Water', 'pulling', 'one-day', '7.62', '2.7', 'OF', 'nominees', 'stretched', '3.04', '11.57', 'gauge', 'some', '120,000', '92.9', 'accepting', 'Insight', 'choose', 'Cooper', 'EXCHANGE', 'yes', '*T*-56', 'loyalty', 'weird', 'Banks', 'Randolph', 'foul', 'was', 'par', 'reached', 'test-drive', '*T*-161', 'D.', 'supposedly', 'households', 'Tip', 'entice', 'opening', 'Research', 'place', 'winter', 'intermediate', 'Rowe', 'Show', 'enlarged', 'Veselich', 'sacrifice', 'Leon', 'project', '*T*-31', '28', 'furious', 'Shepperd', '3436.58', 'helpful', 'steadily', 'effectively', 'reasserts', 'Hoffman', 'bottom', 'purhasing', ':', 'areas', 'exemption', 'decisions', 'plot', 'erect', 'architecture', 'march', 'closer', 'reserves', 'premiere', 'demonstrating', 'Old', 'citizen', '*-52', 'tag', 'catch', 'Tokyu', '49', 'Experts', 'father', 'dinner', 'draw', 'editing', 'Hawaii', 'improve', 'twindam', 'Us', 'skills', 'With', 'That', 'sidelines', 'programs', 'group', 'directionless', 'indeed', 'complex', 'shipments', '*T*-16', 'inmates', 'NBI', 'ASLACTON', 'Porter', 'evoke', 'Riyadh', 'Ford', 'abuzz', 'unsettled', 'ward', 'Hot', 'assume', 'Mo', 'promotional', 'low-ability', 'Jennison', '3,040,000', '38.5', 'complaint', 'moved', 'Giants', 'impudent', 'downtown', 'Vanderbilt', 'alcohol', 'gangs', 'account', 'disease', 'behind', 'infrequent', 'wave', 'budget', 'Borge', 'C-130', '55.1', 'relief', 'Pickens', 'Belt', 'nonetheless', 'improves', 'unveil', 'indicating', 'Matthews', 'deteriorating', 'spokesman', 'registered', 'idea', 'Not', 'suspect', 'Namibia', '1980', 'dating', 'banning', 'levels', '64', 'Ariz.', 'litigation', 'high-polluting', 'mend', 'Television', 'Northern', '155', 'duty-free', '960', 'Wright', 'aggressively', 'shipyards', 'Encouraging', 'pride', 'quote', 'advise', 'quoting', 'synthetic', 'nose', 'can', 'stressed', 'fearful', 'Angels', 'microprocessor', 'bombers', 'appoint', 'killed', 'alleged', 'response', 'symbol', 'usurp', '1,500', 'spur', '*T*-10', 'simulates', 'INS', 'characterizing', 'fundamental', 'lessening', '415.8', 'foldability', '1996', 'longer-term', 'Hitachi', 'C.J.B.', 'qualify', 'hopes', 'investment', 'ordinary', 'personal', 'diaper', 'fuming', 'slump', 'safe-deposit', 'impact', 'non-farm', 'arrived', 'records', 'Compound', 'Mergers', 'high-tech', '8.56', 'more-efficient', 'NRDC', 'Garry', 'shake', 'week', 'forces', 'squeezed', 'Heidelberg', 'Only', 'Donuts', 'premium', '69-point', 'learn', 'copying', 'sector', 'banking', 'Tyre', 'Pretty', 'Silicon', '36-day', 'ranks', 'unfunded', '2', 'assembly', 'Prof.', 'join', 'wheel-loader', 'foods', 'child', 'takeover-stock', 'details', 'Knapp', 'turns', '*', 'statement', 'wheat', 'tell', 'factoring', 'Spillane', 'Institute', 'Ellis', 'Chairman', 'Rick', 'success', 'Petersen', '2.25', 'truck', 'desktop', 'helping', 'intended', 'cleanliness', '*-144', 'separation', 'begun', '80.50', 'Chiodo', 'These', 'Felten', 'troublesome', 'funded', 'Fulham', '350', 'aftereffects', '*-72', 'Grange', 'casts', 'premises', 'matter', 'Xerox', 'Being', 'altogether', '*T*-166', 'Heiwado', 'Wood', '29year', 'jurisdiction', 'sellers', 'North', 'concede', 'resignation', '18,444', 'Homeless', 'Springs', 'long-tenured', 'hustlers', 'bounce', 'CALL', '*T*-108', 'Recently', 'Kaminski', 'His', 'Pauline', '*-18', 'viewing', '14.43', '*-8', 'Vargas', 'parties', 'Prize', 'certificates', 'Mich.', 'Following', 'Maxwell', 'demonstrators', 'drearier', 'overriding', 'avert', 'Bermuda-based', 'Jacob', 'hitting', 'Fourth', '1903', '90-cent-an-hour', 'fawning', 'cow', '*-134', 'Marty', 'Coca-Cola', '271-147', 'Donaldson', 'Portugal', 'close-up', 'PAP', 'calls', 'Senior', 'marketers', 'Novello', 'fleeting', 'signals', 'designer', 'outright', 'completed', 'progressive', 'depression', '5.2180', 'again', 'dean', 'exists', 'why', 'overruns', 'managements', 'leadership', 'Pepperidge', 'Kingdom', 'parishioners', 'Appeals', 'supply', 'fought', 'coincidental', 'select', 'Odyssey', 'X', 'non-U.S.', '100-megabyte', 'odds', 'Spanish', '280', 'mid-size', 'superiors', 'Financing', 'Charlotte', 'define', 'Competes', 'prescient', 'investing', '*T*-219', 'predispose', 'Retin-A', 'March', '*T*-117', '*T*-124', 'white-collar', 'emasculate', 'LATE', 'Tache', 'Ailes', 'skittishness', 'expenses', 'grand', 'weigh', 'Scherer', 'Fernando', 'introduce', 'plugged', 'administer', 'Code', '89,500', 'reversal', 'cutting', 'culprit', 'Guarantee', 'victims', 'cake', 'ritual', 'medicine', '*T*-29', '70', 'teach', 'abroad', 'pace', 'devoted', 'obligation', 'nominated', 'sympathy', 'lyrics', 'Dolphin', 'acres', 'acceleration', 'LTV', 'bonds', '10', 'attracts', 'avenues', 'Schaefer', 'five', 'Thousands', '*-135', 'cement', 'Najarian', 'surprising', 'classes', 'qualities', 'history', '41.60', 'injuring', 'Soldado', 'recovered', 'wonder', 'traveled', 'Evans', 'swim', 'glamorize', 'jockeys', 'aesthetic', 'lower', 'Soho', 'five-inch', 'Mercedes', 'Graham', 'subscriber', 'speaks', 'innovative', 'cater', 'Ratner', 'Angelo', 'Stronach', '1990-91', 'Moscow', 'Note', 'Agriculture', 'surgeon', 'varied', 'undersecretary', 'constraints', 'biscuit', 'anti-morning-sickness', 'forecasting', 'course', 'environmental', 'relevance', 'Hungary', 'pointing', 'hospital', 'Maine', 'Atlantic', 'implicit', 'Houston', 'Roof', 'contributions', 'editorially', 'bell-ringing', 'Court', 'hither', 'eager', 'list', 'statute', 'Walker', '127.03', '191.9', 'steelmakers', '38.375', 'Taiwan', 'avid', 'light-truck', '*-74', 'beauty', 'bonus', '45.2', '111', 'Gardner', 'Terrence', 'Traditional', 'unknown', 'blow', 'eating', '29.9', 'mistake', 'Delaware', 'Basham', 'Soup', 'searching', 'unwashed', 'Kenneth', '8.45', 'judicial', 'publisher', 'Equitable', 'emigres', 'Francisco', 'Ringing', 'sparked', 'W.R.', 'THE', 'warrant', 'completion', 'valuations', 'starts', '10-lap', 'Santa', 'semiannual', 'peaks', '3.43', '*EXP*-1', 'buys', 'shaken', 'sudden', '70-a-share', 'Commission', 'craft', 'Lonski', '61', 'unethical', 'sometimes-exhausting', 'pressure', 'varying', 'ratings', 'hung', '3\\/4', 'squeeze', 'Clara', '767', '24', 'Those', 'calculated', 'involves', 'Ratners', 'borders', 'Johnson', 'regulators', 'backyard', 'concluded', 'told', 'Bolivia', 'Employment', 'BRAMALEA', 'knowledge', 'sacked', 'Martin', 'defeat', 'proceedings', 'church', 'successfully', 'warns', 'accusing', 'hill', '2019', 'INQUIRY', 'industry', 'Norwegian', 'tasty', 'looming', 'unpleasant', 'costly', 'helped', 'Diamond', 'drove', '*-38', 'worksheets', 'radio', 'regret', 'Joe', 'Upham', 'adapted', 'mudslinging', '88', 'Switzerland', 'distinguished', 'farmers', 'upstate', 'test', 'Conduct', 'vacations', 'heated', 'additions', 'more-advanced', 'Ward', 'lessen', 'surrounding', 'toilet', 'We', 'interest-rate', 'rules', '87-store', 'jurisdictional', 'fortunes', 'dropped', 'phase', 'alumni', 'broke', 'Billings', 'crapshoot', 'lookee-loos', '1614', 'halts', 'seasonally', 'faith', 'Citizens', 'oppose', '5.63', 'product', 'century', 'Duchossois', 'gotten', 'Atlanta-based', 'municipalities', 'tuck', 'unconsolidated', 'Clemens', 'CEOs', 'this', 'slower', 'contributing', 'wrenching', 'ire', 'yourself', 'medical', '9\\/32', 'exporter', 'stop', 'offers', 'architect', 'telephone', 'decliners', 'lynch-mob', 'sets', 'resolve', '8.53', 'zone', 'Book', 'vote', 'Glenn', 'lend-lease', 'mortgage-backed', 'station', 'dividing', 'lifes', 'portrayal', '13.8', '1.1650', 'Darkhorse', 'serial', 'shift', 'Electric', 'pricing', '7.63', 'criticized', 'exploit', 'volunteer', 'Marathon', 'Del', 'stockpiles', 'MacLellan', '55-year-old', 'Knopf', 'phone', 'spackle', 'knowledgeable', 'technologies', '18-a-share', 'statistics', '*T*-183', 'lengthened', 'indexers', 'asserts', 'original', 'regulatory', 'growers', 'Rather', '*-49', 'blood-cell', 'executed', 'slashing', '3.75', 'seconds', 'intertitles', 'Unicorp', 'Kangyo', 'Nomenklatura', 'bribery', 'Earlham', '*-127', 'doctorate', 'permits', 'lab', 'school-district', 'ultimate', 'systems', 'dirty', 'sue', 'Petrus', 'economies', 'Institution', 'Yorkers', '*-130', 'mandates', 'Educational', 'Norman', 'revolves', 'division', 'b', 'thin', 'elections', '750', 'treatment', 'accurately', 'AIDS', 'mirror', '*T*-37', 'secondary', 'Equal', 'amount', 'Harris', 'Bradley', 'shortages', 'automatic', 'manager', 'answers', 'skidded', '227', 'exposure', 'stripped', 'SDI', '103', '7.78', 'slowdown', 'fared', 'procurement', 'generally', 'proved', 'plagued', '8.50', 'preserving', 'Conn', 'problems', 'moments', 'Kerensky', 'vacant', '7.74', 'Parent', 'bloc', 'accord', 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'Cup-Tote', 'juggernaut', 'requiring', 'discouraging', 'Joanne', '149.9', 'international', 'pre-emptive', 'quite', 'imposed', 'eight-count', 'prompts', 'refrigerator', 'gut-wrenching', 'educators', 'Polls', 'minus', 'omnipresent', '1.1', 'actions', 'Dominus', 'player', '1.56', 'cleaner-burning', '*T*-48', 'dead-eyed', 'users', 'Ames', 'G', 'Akerfeldt', 'combination', 'cushion', 'pretext', 'impeding', 'flow', 'Nationwide', '*T*-144', 'Also', 'Bob', 'company', 'Motors', 'cancer', 'prohibiting', 'legislators', '36', 'South', 'jam', 'outbid', 'evaporated', 'prospects', 'defeated', 'car-development', 'amass', 'Bailey', 'attitude', 'pumping', 'million', 'Results', 'top-level', 'exhibits', 'disagreed', 'purchases', 'agreed', 'efficient', 'expanding', '1.75', 'Napa', 'bearing', 'describe', 'reopen', 'battered', 'minute', 'Gringo', '143.08', 'fiscal', 'breach', 'Elisabeth', '608,413', 'Prosecutors', 'manufacturer', 'cop-killer', 'performed', '*T*-34', 'switch', 'unproductive', 'opponents', 'Jan.', 'darned', 'volatility', 'star', 'Brothers', 'protest', 'Grace', 'Change-ringing', 'twin-jet', 'Myron', 'CHANGED', 'agenda', 'lifted', 'execution', 'smoke', 'copper-rich', 'volume', 'guerrillas', 'processors', 'use', 'best-selling', 'laser', 'embarrassing', 'refuses', 'reopened', 'management', 'prepare', 'adjusting', 'amounts', 'specialists', 'prototype', 'Anything', 'radio-station', 'brunt', 'Secretary', 'damages', 'hot', 'resigned', 'face', 'pounds', 'carrier', 'sectors', 'scrambled', 'surpluses', 'yielding', 'Manufacturing', 'Hopkins', 'economical', 'two-time-losers', 'movie', 'palace', 'passenger', 'Vinken', '*T*-164', 'Kodansha', 'reinvestment', 'full-fledged', 'signature', 'corrected', 'blindfold', 'struggling', 'it', 'enclosed', 'cancer-causing', 'adopt', 'minimum-wage', 'disposal', 'Coleman', 'filled', 'virtually', 'neither', 'worsen', 'Named', 'nationalist', 'Darrell', 'metal', '0.2', 'Wilbur', 'midtown', 'high-yield', '*T*-122', 'nutty', 'Buying', 'Davenport', 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'chase', 'Fred', 'ADRs', 'influencing', '1.2', 'sort', '57.7', 'starters', 'priced', 'cleared', 'Massachusetts', 'robotic', '300,000', 'relieved', '198', 'holds', 'derisively', 'exposures', 'implement', 'Regulatory', '512', 'family-planning', '*T*-28', 'shoulder', 'die', 'make', 'attributes', 'testing', '1,880', 'N.J', 'chiefly', 'tackle', 'tool', 'mitigate', 'Ravenswood', 'flood', 'Mortgage-Backed', 'vortex', '188', 'Invariably', 'Biondi-Santi', 'colony', 'explain', 'Constitution', 'quality', 'Elizabeth', 'Dr.', 'equities', 'booklet', 'Wa', 'near-record', 'defeats', 'victory', 'substantial', 'yielded', 'consequences', '40.21', 'Steelworkers', 'magicians', 'insists', 'undertone', 'intrusion', 'Edwards', 'mere', '19.95', 'promised', 'allow', 'Ketchum', 'arrest', 'major', 'protecting', 'El', 'Boulder', 'curtailed', 'Cathryn', 'COMMERCIAL', 'Z.', 'stellar', 'first', 'decides', '*T*-207', 'requested', 'Dunn', '87.5', '0.05', 'UBS', 'impossible', 'constituent', 'shortly', 'salable', '*T*-251', 'Railroad', 'Bill', 'succeeded', 'Wednesday', 'dreamt', 'Form', 'liners', '*-48', 'decades', 'structures', 'movies', 'Germans', 'rebound', 'gauging', 'owns', 'expand', 'Sydney', 'equipped', 'determined', 'lawsuits', 'PC', 'true', 'sensitive', 'Thomas', 'Mitchell', 'bidding', 'negative', 'capital-gains', 'multiplying', 'Pa', 'Markets', 'raced', 'Although', 'box', 'Daniel', 'awaits', 'drew', 'supportive', 'Bund', 'card-member', 'staffs', 'sickness', 'commercial', 'resolution', 'prerogative', 'turnover', 'outlawing', 'equal-opportunity', 'serve', 'gyrations', 'outlets', '9.32', 'serving', 'Hoosier', 'Party', 'sagged', 'Mayland', '1', 'substance', '3.9', 'industrials', '415.6', 'styles', 'predicated', 'Southeast', 'transforming', 'Garanti', '1981', 'perfection', 'transacting', 'copper', 'prevalance', 'bolster', 'Namibian', 'enforce', 'vendors', 'assertion', 'Pinocchio', 'broadly', 'Impediments', 'Sotheby', '241', 'SAT', 'hurdles', 'bold', 'Bank', 'responsibilities', 'RBC', 'Beach', 'Publishers', 'detailed', 'contracts', 'supercomputers', 'regardless', 'pressing', 'Obligations', 'giveaways', 'Precious', 'divergence', 'printers', 'Samnick', 'loudest', 'Such', 'interjects', 'neighboring', 'tomorrow', '5.70', 'quietly', 'surreptitiously', 'pressman', 'Highway', 'outstrips', 'Lights', 'employment', 'conservative', 'none', '3.19', 'tenth', 'develops', 'circulated', 'accidents', '234.4', 'basic', 'Broken', 'clearer', 'Scholastic', 'Strother', 'rewrite', '*T*-231', 'removal', 'mentioned', '*-15', '534', 'Hudson', 'retardation', 'Purchase', '467', 'joint-venture', '11,390,000', 'municipality', 'Stung', 'refunded', 'pioneer', '*-87', 'Prudential-Bache', 'H.N.', 'promises', 'managers', 'since', 'lowest', 'with', 'Monticello', 'Travelers', 'emotions', 'seemed', 'hangs', '2141.7', 'they', '28.36', 'across', 'syndicate', 'imposing', '42', 'Ramirez', 'action', 'Conn.', 'Calif', 'literary', 'come', 'buyers', 'voters', 'Kappa', 'tie-in', 'Concerned', 'Due', 'wooing', 'clouds', 'quarterly', 'Ranger', 'narrowed', 'computer-aided', 'after', 'best-seller', 'time', 'round', '321,000', 'girlfriend', 'inquiry', 'limited-partnership', 'restructure', 'juggle', 'anyone', 'expire', 'Fees', 'chief', 'Stoll', 'throws', '225', 'DDB', 'compressed', 'citing', 'Sheep', 'A.C.', 'Rae', 'sound', 'Islamabad', 'student', 'goes', '750,000', 'gasoline', 'wrong', 'composting', 'earnings', '811.9', 'occasionally', 'lapses', 'FTC', 'Philip', 'Farm', 'Riese', 'vicars', '*T*-139', 'noting', 'Financial', 'physical', 'travelers', 'empire', 'disclose', 'way', 'poorly', 'convert', 'Montgomery', 'discussions', 'calculator', '27-year', 'purrs', 'Ferro', 'Mark', 'Improvement', 'hits', 'gamut', 'cast', 'airline', 'anti-miscarriage', 'Groton', 'Exxon', 'Thrall', 'Rey\\/Fawcett', 'overcome', 'ingredients', 'careers', 'leeway', 'expanded', 'tried', 'that', 'Leroy', 'short', 'assured', 'Like', 'abide', 'ingenuity', 'rollover', 'Piper', 'Californian', 'kill', '2009', '*T*-89', 'grower', 'referrals', 'unconstitutional', 'civilization', 'ultimatum', 'crowded', 'disposables', 'alcoholism', 'enforcement', 'Frankfurt', 'creditor', 'denial', '*-54', 'canine', '*T*-80', 'differences', '*T*-229', 'Memphis', 'Vose', 'meant', 'Hampton', 'gallium', 'buck', 'hamstrung', '38.3', 'swings', 'families', 'tall', 'unsympathetic', 'intention', 'refitting', 'Policies', 'lent', 'toast', 'assertions', 'prior-year', 'picking', 'cope', 'guest', 'fashioned', 'antitrust', 'Jail', 'high-rolling', 'beneficiaries', '27.4', 'built-from-kit', 'marvelously', 'slow', 'panel', 'Industry', 'package', 'lengthen', 'device', 'runs', 'forecast', 'eclipse', '*-140', 'chooses', 'sweaty', 'drop', 'Ricken', '57.6', 'sustained', 'Brownell', 'built', 'accrue', 'demand', 'Hayne', 'projects', 'continuously', 'Nichol', 'novelist', 'Nicole', 'Westborough', 'upbeat', 'considering', '*T*-180', 'nutrition', '95.09', 'firings', 'veteran', '%', 'capital', 'severance', 'McGraw-Hill', 'battle', 'newer', 'bushels', 'consented', 'tired', 'answered', 'compilation', 'landing', '*-59', '*-112', 'shrinks', 'root', 'acceded', '*-44', '0.99', 'mid-1970s', 'Canepa', 'Norwalk', 'Clarence', 'terrine', 'giant', '*-71', 'Baris', 'Nonetheless', '*T*-145', 'Fax', 'matters', 'Tribe', 'which', '30-share', 'attorney-client', 'Pont', '90', '*T*-217', 'reduced', 'v.', 'anti-takeover', 'faculty', 'tense', 'METALS', 'stigma', 'Chevrolet', 'well-connected', 'US', 'Salvador', '*T*-157', 'prevailing', 'participate', 'point', 'maintained', 'negotiations', 'ignored', 'Takes', '132.9', 'Torrington', 'bass', 'language', '*T*-65', 'African', 'predecessor', 'sit', 'psychology', 'therefore', 'CSV', 'ventilated', 'file', 'prove', 'Key', 'everything', 'chilled', 'insider', '14.53', 'appointed', 'ring', 'own', 'Taurus', 'stretch', 'Woodcliff', 'smattering', '7.458', 'Late', 'River', 'segmenting', 'nomination', 'Article', 'cents-a-unit', 'explore', 'Shorter', 'top-yielding', 'Resistance', 'Moon', 'agreements', 'Manhattan', 'Any', 'dawn', 'fabricator', 'CORP', 'ninth', 'remain', '106', 'closed-end', 'Regarded', 'assassinated', 'however', 'fell', '*T*-35', 'Intelogic', 'morale-damaging', 'Harry', 'searched', 'foundations', '73', 'line-item', '*T*-159', '8.14', 'Overseas', 'WFRR', 'well', 'Polytechnic', 'Cambridge', 'Program', 'feet', 'metropolitan', 'Cerf', '1.25', 'prospect', 'pulls', 'rhythmically', 'Democrat', 'withstand', 'product-design', 'congregation', 'stem', 'Sidewalk', '*T*-153', 'warn', '21,000', 'IX', 'neighborhoods', '9.75', 'Neil', 'junk', 'objectives', '*U*', 'coal-fired', 'Huxtable', 'busloads', 'eliminated', '*T*-188', '4.55', 'China', 'unique', 'competitors', 'Sierra', 'Barnett', 'superpremiums', 'witnesses', 'depository', 'slack', 'Economists', 'meal', 'glitches', 'extremely', '195', 'McAuley', 'non-core', 'solely', 'systematic', 'schemes', 'Output', '388', 'Grain', 'trafficking', '7\\/16', 'keeps', 'Achievement', 'reflect', 'real-estate', 'Seattle-based', 'Derchin', 'laying', 'achieved', 'act', 'Italy', 'dailies', '*T*-83', 'covered', 'state', '*-150', 'Roger', 'abandoned', 'solemn', 'modification', 'guards', 'Park', '1953', 'registration', '1\\/10th', 'at', 'Chandler', 'exceed', 'headed', 'differently', 'Dolphins', 'diminish', 'exit', 'percent', 'prostitute', 'capital-markets', 'Pramual', 'Strategic', 'standing', 'attempting', 'RATES', 'exchanges', '*-1', '62.1', 'city-owned', 'A-D', 'Bramalea', 'performance', 'issues', '0.0085', 'Gilts', 'identities', 'mind', 'listed', 'disaster-assistance', '8.07', 'construed', '*-142', 'Blunt', 'twinned', 'Pierre', 'threatened', 'noble', 'inserted', 'enthusiasm', '9.45', 'peaked', 'regulate', 'centers', 'Long', 'cornerstones', 'Savings', 'trader', 'documents', 'financially', 'thugs', 'Trans', 'decrease', 'English', 'painted', '30-day', 'Remember', 'activities', 'lending', 'Macheski', 'near-limit', 'Topix', '235', 'double', 'posters', 'credibility', 'Kennedy', 'Ill.', 'from', 'F-series', 'interest-bearing', 'chunks', 'self-serving', 'Structural', 'desperately', 'slowing', 'mechanically', 'sauce', 'games', 'Buyers', 'deliberately', 'Evidence', 'feeds', 'getting', 'marrow', 'holding', 'magnified', 'meaning', 'blackjack', 'Borough', 'permit', 'combinations', 'imported', '50\\/50', 'narrowly', 'sprightly', 'FT', 'observers', 'resources', 'Jay', 'Shrum', 'containers', 'sticker-shock', 'dislike', 'waived', 'received', 'hold', 'contingency-fee', 'cities', 'impending', '1.17', '4.7', '11,762', 'tickets', '600', 'good-hearted', 'learned', 'B.', 'rout', 'floral', 'Nelson', '2.6', 'No.', '142.85', 'Hahn', 'conference', 'jump', 'Civilization', 'PLC', 'Chafic', '7.84', 'Camilli', 'Think', '320', '1.14', 'less-than-brilliant', 'bakery', 'overcrowding', 'Jonathan', 'drugs', 'Rusty', 'sterling', '*T*-218', 'headline', 'Roederer', 'eight', 'could', 'Hours', 'ramparts', 'anticipation', 'Observing', '458', '275', 'posted', 'doctors', 'lead', 'representative', 'insidious', 'series', 'bid', 'via', 'prosecutor', 'cause', 'slide', 'solicitation', 'Nobel', 'excesses', 'joys', 'curly', 'office', 'Wadsworth', 'Larry', 'turnaround', 'kilobytes', 'angry', 'foreign-stock', 'settlement', 'self-regulatory', 'non-religious', '*-55', 'complains', 'agricultural', 'effort', 'electricity', 'Corps', 'life-style', 'Brady', '38.875', 'college', 'training', 'inadequacy', 'botched', 'subscriptions', 'parliament', 'seven-yen', 'stock-price', 'Asians', 'classified', 'Yields', 'Rockford', 'turf', 'Jenrette', 'penny', 'overall', 'Affairs', 'packaging', 'positions', 'say', 'withdraw', 'amusing', '2.42', 'voted', 'impede', 'wears', 'Friedrichs', 'five-day', 'Beirut', 'boutique', 'board', '148.9', 'Acquisition', 'skilled', 'Baltimore', '*T*-115', '179', 'thwart', 'so', 'premiums', 'reject', 'follow', '0.5', 'shoring', 'sphere', 'semiliterate', 'receipts', 'handled', 'beer-belly', 'whether', 'biannual', 'exceeds', 'full-time', 'PLO', '114', 'triggered', 'scuttle', 'expressly', 'major-league', 'ascribe', '240,000', 'L.A.', 'wrecking', 'Chinese-American', 'Stanford', 'stacked', 'wear', 'Mrs', '*T*-190', 'Broadcasting', 'labor', 'to', 'underline', 'leave', 'loans', 'Left', 'Fairless', 'affirmative', 'tenfold', '847', 'Morrell', 'strategies', 'clearing', 'Chardonnay', 'automobiles', 'Warrenton', 'Crown', 'whom', 'variables', 'Just', 'Wozniak', 'bricks', 'rendering', 'Teddy', 'relied', 'increase', 'NYSE', 'ideas', 'vacancy', 'Programs', 'unrestricted', 'purchased', 'Merrill', 'illegality', 'impetus', 'busiest', 'milk', 'strain', 'politics', 'truth', 'Zicklin', 'man', 'healthy', 'appropriations', 'wedded', 'evoking', 'radioactivity', 'eternal', 'farms', 'Virginians', '7.272', 'cultivation', '83', 'famed', 'Argentina', 'Characters', 'customer', '28.53', 'watchdogs', 'Del.', 'ushered', 'Doak', 'GenCorp', 'year-to-year', 'loser', 'Argentine', 'sells', 'Berger', 'grant', 'rancor', 'noted', 'Capitol', 'philosophy', '77.56', 'data', 'Herrington', 'prestige', 'laboriously', 'bilingual', 'homosexual', 'carillons', 'Plans', 'chary', 'offender', 'progress', 'exceptional', '*T*-177', 'countries', 'India', 'defendant', 'message', 'agreeing', 'Angeles', 'shops', 'tough', 'deregulation', 'easily', 'Mogavero', 'pollution', 'stakes', 'digs', 'comments', 'Shores', 'observations', 'Particularly', 'Income', 'political', 'Subcontractors', '1991-1999', 'Colleges', 'proposition', 'Bronces', 'hand', 'WTVJ', 'Aug.', 'eased', 'crisis', 'absolutely', 'Disputada', 'outstanding', 'firmly', 'Otero', 'Imhoff', 'RULING', 'ending', 'unlikely', 'yellow', 'youth', 'winding', 'NIH', 'finest', 'multi-crystal', 'London-based', 'cost', 'Graduates', 'bombarding', 'Hutchinson', '2.30', 'answer', 'God', 'Walbrecher', '0.54', 'Oil', '705.6', 'businessmen', 'phrase', 'Feeding', 'golden', '4.4', 'prying', 'closely', 'dashed', 'strength', 'Redevelopment', 'Impact', 'elite', 'contribute', 'riskier', 'allies', 'contends', 'Alleghany', 'altar', '*-29', 'fueling', 'completing', 'Yorker', 'plainclothes', 'celebrity', 'speculation', '11.10', '14,821', 'nervous', 'Both', 'actress', 'short-term', 'mount', 'excise', 'Red', 'Dean', 'Fannie', '30,537', 'thumbs', 'Cleveland', 'evenly', 'excited', 'diabetes', 'Comtes', 'bulk', 'circumstances', 'modern', 'topped', 'Three', '37.3', 'cocky', 'held', '1.49', 'Organizations', 'rating', 'repriced', 'court', 'Corporations', 'magnitude', 'majority', 'Raul', '*-73', 'Sept.', 'equity-purchase', 'persistent', 'immune', 'Roland', 'marriages', '*T*-9', 'tow', '141.9', '70.7', 'delete', 'started', 'market-makers', 'form', '*-14', 'fighting', 'permission', 'tells', 'policy-making', 'Wall', 'District', 'promotions', 'heavy-truck', 'telegraph', 'garbage', 'disclosing', 'churches', 'sufficient', 'Hammerton', 'actively', 'Community', 'Basin', 'year-ago', 'degree', 'uncomfortable', 'acetate', 'Shangkun', '300-a-share', '1987', 'waive', 'Hans', 'launch', 'Virtually', 'FAX', 'unions', 'thieves', 'electorate', 'Diceon', 'Legislating', 'Tassinari', 'maximum', 'things', 'tire-kickers', 'Mac', 'ways', 'disruption', 'Riserva', 'head', 'creditworthiness', 'jobs', '16.9', 'collateral', 'cash-flow', 'steelmaker', 'Fifteen', 'Ala.', 'bat', 'rise', 'previously', '11.6', 'stays', '*T*-232', 'pediatrician', 'corporate-wide', 'Townes', 'four-year-old', 'disconnect', 'cash-and-stock', 'must', 'proposal', 'academics', 'pealing', 'lure', 'inflation', 'specify', 'Taipei', '2-8', 'amazingly', '*-121', '9,118', 'handle', 'targeted', 'fluctuation', 'presidential', 'clothes', 'hundred', 'promise', 'currencies', 'Esso', 'performing', 'sew', 'foundering', 'overlap', 'strategy', 'types', 'whole', 'national', 'revival', 'dam', 'replete', 'Islamic', 'assaults', 'two-thirds', 'storage', 'USIA', 'functions', 'departments', 'intense', '2.95', 'Dodge', '1989-90', 'History', 'grim', 'discrepancies', 'Investment', 'occupying', 'Miami-based', 'Dingell', 'adopted', 'longer', 'computer-assisted', 'unleashed', 'advocating', 'fills', 'pending', '*T*-30', 'basically', 'are', 'sweat', '*T*-150', 'negotiated', 'layer', 'reminded', 'insist', 'loom', 'professors', 'one-year', 'goods', 'Money', 'Yang', '36-minute', 'arrested', 'Credit', 'stable', 'tens', 'critical', 'Strong', 'people', 'Ilminster', 'encouraging', 'Ann', 'sentiment', 'quarter', 'labor-intensive', 'GHKM', 'CTBS', 'classed', 'doling', 'Cartons', '26', 'chest', '282', 'Davies', 'dessert', 'Corrigan', '*-120', 'provisions', '150.00', '12.82', 'builds', 'Freshbake', 'refuge', 'governor', 'rarefied', 'suspension', 'Reasons', 'note', 'forum', 'somewhat', 'Trockenbeerenauslesen', 'realestate', 'CBS', 'Gorbachev', 'prosecutors', 'sometimes', 'insert', 'analysis', 'offering', 'obtaining', 'moneymakers', '5.435', 'running', 'machine-gun-toting', 'fined', 'anxieties', 'reaching', 'Danforth', 'season', 'summary', 'apples', 'microwave', 'Unico', 'participants', 'Kean', 'black-and-white', 'proof', 'elephant', 'Eurobonds', 'tenure', 'clean-up', 'lawyer', 'Laboratories', 'Gingl', '*-159', 'Cray', 'inquiring', 'unwind', '*T*-55', 'privilege', 'cluttered', 'sassy', 'Parliament', 'toward', 'Australia', 'Jacksonville', 'N.V', 'redistributing', 'plunged', 'objectionable', 'dozen', 'government-owned', 'considers', 'summons', 'incapable', 'Shuxian', 'Furillo', 'Landor', 'bribe', 'Bridgestone\\/Firestone', 'mid-1990s', 'methods', 'specializing', 'Derek', '*T*-212', 'Spiro', 'dealings', 'stockbroker', 'bread-and-butter', 'judiciary', 'Scoring', 'plants', 'deposits', 'free-enterprise', 'thanks', 'incentive', 'touted', 'rebel', '917', 'For', 'much', 'nice', 'broadcasting', 'Coors', 'warrants', 'close', 'DyDee', 'treat', 'putting', 'Appellate', 'Louisville', 'BRIEFS', 'relation', 'workbooks', '50.45', 'stock', 'princely', 'Cataracts', 'Senate', '*T*-152', 'stocks', 'stepped', '1933', 'spite', 'consecutive', 'direction', 'timing', 'unreasonable', 'contains', 'Aquino', 'grader', 'intelligent', 'Stock', 'allegations', 'brilliantly', 'outside', 'ABA', 'millions', 'official', 'published', 'single-digit', 'sales', 'aggravated', 'character', '*T*-4', '0.9', 'fit', 'Marubeni', 'refusal', '225,000', 'element', 'hurt', 'imbalances', 'Hospital', 'left', 'unraveling', 'three-digit', 'difference', 'aiming', 'gripping', 'trading-company', 'price-depressing', 'tested', 'stopped', 'AN', 'Lilly', 'Card', 'likelihood', 'extending', 'efficiencies', 'he', 'Foot', 'Rouge', 'benchmark', '57.50', 'malnutrition', 'diversify', 'Pet', 'International', '*T*-216', 'dead', 'Chinese', 'workplace', 'aides', 'recombinant', 'creating', 'do-it-yourself', 'maturities', 'story', 'feature', 'expect', 'male-only', 'journalistic', '19', '3648.82', 'occurrences', 'criticism', 'How', 'income', 'wine-making', 'door', 'convenient', 'rebels', 'stature', 'distributor', 'than', 'logic', 'transactions', 'books', 'failed', 'Sandifer', 'polarized', 'Manila', 'June', 'managing', '8.55', 'FOREIGN', 'executive-office', '7,500', 'frenzy', 'dominance', 'internal', 'Lovett', '8.48', '*T*-127', 'rest', 'longevity', 'Exports', 'ushering', 'elimination', 'created', 'Sterling', '170,000', 'target', 'officially', 'conclude', 'derivative', 'clarify', 'indictment', '7.90', 'Loews', '1.637', 'Hutton', 'tentatively', 'vaccines', '8300', 'renewed', 'flagrant', 'Toronto-based', 'Jaguar', 'pattern', 'minicrash', 'irrelevant', 'Iran-Contra', 'revising', 'retort', 'Possible', 'page-one', 'proving', 'Rubinfien', 'fits', 'accelerated', 'ranged', '*T*-195', 'fetal', 'eat', 'Cara', 'tigers', '*T*-82', 'Bunny', '7.3', 'Olson', '2-3', 'Pamela', 'Bribe', '8.25', 'automotive-lighting', 'two-week', 'Worksheets', 'playwright', 'stirrings', 'Gold', 'four-year', 'seek', 'openings', 'controls', 'Baum', 'counterparts', '14.', 'Atlanta', 'Stephens', 'Judah', 'Corp.', 'businesses', 'climb', 'anemic', 'Waertsilae', '77', 'lung', 'Carson', 'Board', '1955', 'Rally', 'merely', 'restructuring', 'Du', 'penalties', 'Sale', 'expressing', 'stones', '225.6', '1901', 'remaining', 'tempts', 'bolstered', 'pro-democracy', 'window', 'one', 'below', 'Muzzling', 'search', 'copies', '2.50', 'operator', 'school-improvement', 'Barbara', 'enticed', 'seven-day', 'East', '501', 'prints', 'Budget', 'color', 'accepted', 'tobacco', 'per-share', 'Trojan', 'Gasoline', 'regulated', 'franc', 'publishes', 'Facilities', 'arsenide', 'miles', 'Trotter', 'higher-salaried', 'Richmond', 'Terms', 'salaries', 'trains', 'academic', 'latest', 'money', 'interstate', 'slated', '96.4', 'Traders', 'counteract', 'cost-cutting', 'Eastern', '9.9', '*-6', 'Spitler', 'significantly', '71', 'drastic', 'Consequence', '66.5', 'customers', 'pharmaceuticals', '*-41', '4.9', 'reallocate', 'Johnny', 'maintenance', 'bills', 'contractor', 'justice', 'December', 'cohesive', 'risk', 'situation', '*-124', 'money-fund', 'merger', 'stated', 'Intel', 'earliest', 'gifts', '105', 'cardboard', 'nowhere', 'authorities', 'sorts', 'ideological', 'cautiously', 'firmed', 'Gulf', 'general', 'document', 'difficulties', 'foldable', '*-35', 'slip', 'exorbitant', '30-minute', 'markets', 'requests', '*PPA*-1', 'formerly', 'confirm', 'California', '*-136', 'papers', 'meets', 'Elisa', 'advantages', 'undertaking', 'Mortgage', 'cloth', 'worth', 'reformers', 'autos', 'MERRILL', 'parts', 'Rapanelli', 'Circulations', 'air', 'imperative', '301', '34.625', 'illegally', 'bounced', 'Yale', 'empowered', 'uncertainty', '341.20', 'units', 'acquirers', 'assessed', '*T*-236', 'state-supervised', 'monitor', 'Guigal', 'bickering', '100-share', 'date', '5.1', 'council', 'Cask', '1988-89', 'tension', 'Runkel', 'Ancient', '6.44', 'junk-bond', 'Warren', 'penalty', 'plan', 'telling', 'prizes', 'Enright', '*T*-88', 'Rey', 'shared', 'house', 'schoolteacher', 'Maybe', 'Shipments', 'targets', 'Instruments', 'occupant', 'Department', 'cocoa', 'utility', 'trying', 'Sternberg', 'Deng', 'Anglian', 'oils', 'fly', 'penetration', 'real', 'ordered', 'Dollar-yen', 'visible', 'concedes', '112.9', 'leading', 'solvent', '9.8', 'Orleans', 'Moving', 'movements', 'backed', 'Reed', 'consider', 'downside', 'Ports', 'cozy', 'Arizona', 'spurring', 'Oklahoma', 'asks', 'omitted', 'Ross', 'boogieman', 'fetching', 'situations', 'mailing', 'herald', 'scrupulously', '84-month', 'Nelms', 'assigned', 'Friends', 'flourish', 'drinking', 'harms', 'Keidanren', 'conferees', 'cap', 'Texas-based', 'Jamaica', 'filters', '30,841', 'pirates', 'Hallwood', 'demonstrates', 'Teikoku', 'Yasser', '*-11', '570', 'wrath', 'losing', 'needs', '*-98', '*T*-204', 'extended', 'bankruptcy-law', 'badly', 'duties', 'couple', '*-103', 'aims', 'barrel', 'notched', 'exist', 'plenty', 'Coconut', 'deeds', '3.23', 'decried', 'self-aggrandizing', 'drops', 'flies', 'veto', 'reprove', 'Elmhurst', 'sites', 'Co', 'Volume', 'annualized', 'GAF', 'Woodrow', 'Embassy', 'martyr', 'Victor', 'part', 'Chateau', 'spectrum', 'included', 'Goldsmith', 'chemicals', '59.6', 'Arthur', 'Los', 'acting', 'smoking', 'aspects', 'railing', 'good-faith', 'Dealers', 'IT', 'scientific', 'I', '40-megabyte', 'contrast', 'Harrison', 'limping', 'coal', 'partially', 'developing', 'Akio', 'rule', '2,700', 'Nekoosa', 'lay', 'Dai-Ichi', 'theme', 'guide', 'Kobe', '15-day', 'shaded', 'Wash.', 'area', 'moves', 'weak', '3.375', 'front-seat', 'manufacturers', '18', 'assurance', 'Moreover', 'lawsuit', 'torrent', 'fairly', 'bloody', 'scant', 'Pty.', 'enormous', 'Glauber', 'decline', 'emotional', 'profits', '77.6', 'soured', 'expired', 'Frances', 'patent', 'Investments', 'partly', 'replacement', 'incredible', '352.7', '672', 'sub-markets', 'dismissed', 'bundling', '240', 'parent', 'conflict', 'thus', 'waiver', "C'mon", 'picture', 'assuming', 'nickel', 'identify', 'acceptance', 'binge', 'night', 'vagabond', 'prevent', 'Lane', 'appears', 'Watson', 'Jackson', 'if', 'dismissal', 'hay', 'orders', 'very', 'responsibility', 'Dumpster', 'became', 'tea', '*T*-224', 'strong-willed', '63-year-old', 'become', 'inner', 'retractable', 'grapple', 'wine', 'column', 'dissemination', '21', 'delayed', 'My', 'Light', 'basket', 'trimmed', 'slab', 'accident', 'lady', 'nonexecutive', '*PPA*-3', 'reaches', 'expressed', 'tradition', '131.01', 'Dill', 'plastic', '645,000', 'trivial', 'Cab', 'alternatives', 'TRIAL', 'compassion', '30-point', 'mortgaged', 'importance', 'Consent', 'sticky', '*T*-234', 'booklets', 'Care', 'subordinated', 'survivor', 'travel', 'taught', '14-hour', 'Paso', 'transfers', 'Vitulli', 'planting', 'lawmakers', '*T*-257', 'floors', "CREATOR'S", 'Circle', '*-139', 'banquet', 'objective', 'wizards', 'BMP', 'School', '57', 'Dugdale', '11.72', 'derived', 'Dreyfus', 'four-day', '*-166', 'BMP-1', 'establishing', 'Tatsunori', 'College', 'heads', '257', 'gambler', '51.25', 'journalists', '777', 'broker', 'water', '*T*-181', 'impatient', 'Noble', 'seems', 'notably', 'Satrum', 'plaintiffs', 'Andean', 'recycled', 'monied', 'threat', 'pathlogy', 'understatement', 'Antonio', 'Barnum', '1979', '1990', 'little', '*T*-147', 'Merrick', 'efforts', 'Where', 'courtroom', 'Mississippi', 'shareholders', 'computer-generated', 'steep', 'AT&T', 'orange', 'summer\\/winter', '*-151', 'elderly', 'using', '143.80', '*T*-123', 'damage', 'Poland', 'Kelli', '598', 'Langner', 'stockbrokers', 'most', 'McLeod', 'photographs', 'deem', 'Monopolies', 'equaling', 'believes', 'stronger', 'Rico', 'spilling', 'Premier', 'proteins', 'Svenska', 'purchase', 'reclaimed', '7.88', 'drifted', 'played', '130.6', 'Dover', 'arrive', 'Houghton', 'notable', 'News-American', 'lucrative', 'field', 'complete', 'Phi', 'lease', 'up', 'necessary', 'fanciful', 'developments', 'LYNCH', 'populated', '20.07', 'Miklos', 'men', 'Midland', 'teenage', 'Nilson', 'Volatility', 'Minister', 'weapon', 'performers', 'Northampton', 'welcome', 'war-rationed', 'Against', 'industry-wide', 'Salty', 'workable', '*T*-133', 'track', 'minority-owned', 'active', 'foundation', 'squad', 'rifles', '*-88', 'twin', 'acted', 'located', 'consistent', 'Judge', 'Probably', 'insurance-company', 'utterly', 'kidnapper', 'aired', 'Debt', 'Takuma', '374.20', 'parallel', 'market-share', 'instituted', 'tort', 'aghast', 'fringe', '50-state', 'abating', 'pushed', '666', 'Gillespie', '*T*-253', '*T*-163', 'Scientists', 'longstanding', '8.12', 'p.m', 'amendments', 'Guber', 'relocate', 'mesothelioma', 'charging', 'Derel', 'indicated', 'decade-long', 'once', '82,389', 'Louis', 'Simmons', 'breed', 'speculating', 'functioning', 'sunlight', '100,000', 'external', 'savings-and-loan', 'Netherlands', 'mood', '25.50', 'Stevenson', 'wealthy', 'erroneous', 'cool', 'Previously', 'parallels', 'Honolulu', '5,699', 'extra', 'Connections', 'Media', 'pianist-comedian', 'separate', '37-a-share', 'context', 'struggle', 'memorize', 'Tenn.', 'energy', 'Related', '8.06', 'itself', 'dominated', '80', 'platitudes', 'retaliation', 'barred', 'avoid', 'ample', 'walkout', 'Brunei', 'snaking', '120-a-share', 'abolishing', 'passbook', 'punitive', 'disregard', 'sagging', 'deviation', 'In', 'run-down', 'ACQUISITION', 'milestone', 'PaineWebber', 'cites', 'indifference', 'relating', '*T*-60', 'Charter', 'Jefferson', '94.2', 'battery', 'release', 'guys', 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'promoting', 'headrests', 'noticing', 'Gotta', '*T*-58', 'kidney', 'COLLECTING', 'influential', 'Among', 'swiftly', 'hole', 'Taylor', 'Anku', 'analyst', 'San', 'vicious', 'selling', 'odd', 'doubt', 'PhacoFlex', 'incident', 'global', 'audit', 'Fed', 'inhibit', 'succeeding', 'Sauvignon', 'Keehn', 'Provided', '*RNR*-2', 'discarded', 'friends', 'readership', 'dollars', 'payoff', 'continues', 'Andersson', 'Dollar', 'Nor', 'accurate', '17.5', 'needed', '250', 'fourth', 'ignoring', 'interested', 'three-lawyer', 'accused', 'L.', 'disputed', 'woman', 'Czechoslovakia', 'Cole', 'test-practice', 'Brean', 'Express-Buick', 'Tokio', 'intend', 'forced', 'question', 'hoopla', '500,004', 'Cartoonist', 'former', 'insider-trading', 'Dale', 'Delegates', 'About', 'software', 'kindergarten', 'holiday', 'GHS', '85.1', 'departure', 'Long-term', 'certain', 'billionaire', 'provision', 'rings', 'pursuant', 'Cost-effective', 'traffic', 'Vice', 'criminal', 'crocidolite', 'Division', 'Jones', 'Home', 'protracted', '14.99', 'Elco', 'Office', 'N.H.', 'Scripps', 'Sol', 'cuvees', '29.4', 'unless', '220', 'nonresidential', 'acquisition', 'T.', 'implications', 'reins', 'Braun', 'faced', 'folded', 'hardware', 'acquired', 'FEDERAL', 'Price', '*-66', 'option', '120.7', 'Paribas', 'hint', 'rim', 'protect', 'old', 'would', 'liquidated', 'simple', 'Periods', 'Wolf', 'Publishing', 'mental', 'redeeming', '*T*-146', 'investors', 'claim', 'Magna', 'test-coaching', 'stood', 'huge', 'augment', 'Scannell', 'easy-to-read', 'barrels', '20', 'shelter', 'manpower', 'politely', 'microphone', 'index-related', 'non-encapsulating', 'confirms', '-RCB-', 'commanded', 'stresses', 'refund', 'First', 'reports', 'declaration', 'Paper', '7.79', 'pub', 'gift', 'employers', 'preapproved', 'recommend', 'Brooklyn', 'hands', 'pressed', 'school-board', 'advocate', '0.3', 'Labor', 'spectacular', 'Taittinger', 'operates', 'neighbors', 'jet', 'full', 'Times-Stock', 'government-certified', 'Haden', 'technical', 'initiate', 'home', 'Index-arbitrage', 'billion-dollar', 'acknowledging', 'synchronized', 'Kentucky', 'buffet', '*-115', '52', 'Dutch', 'hours', 'Machines', 'characters', '70.2', 'Dorothy', 'costs', 'name', 'discovered', '214', '42.5', 'tempted', 'everyone', 'Different', 'school-research', '*RNR*-1', 'midnight', 'involved', '*-42', 'pall', 'Louisiana', 'all', 'alerts', 'intellectual-property', 'evil', 'motion', 'stepping', 'del', 'sometimes-tawdry', 'productivity', 'pills', 'galling', 'substance-abusing', 'Westport', 'Chardonnays', 'vested', '3.35', 'induce', 'unavailability', 'inefficiencies', 'Amendment', 'developed', 'Renee', 'deliver', 'fiber', 'library', '1.65', '343', 'Henderson', 'Venture', 'signal', 'Bar', 'display', 'sentencing', 'Pittsburgh', 'wrestling', 'Mutual', 'Lobsenz', 'views', 'American-made', 'cabinet', '1.8', 'loyal', '16,072', 'acquires', 'revolt', 'sizable', 'trained', 'Sea', 'Cluff', 'phony', 'offset', 'Beall', 'spook', 'DNA', 'revenues', '3,288,453', 'studies', '62.625', 'rock', 'Do', '*-138', 'Secilia', 'fuller', 'application', 'volatile', 'overcapacity', 'Lawmakers', 'whipsaw', '7.40', 'Soon', 'citizens', '*T*-102', 'eight-person', 'Miles', 'exodus', 'Professors', 'Cosby', '*-133', 'snow', 'care', '*-137', 'closed', '*-20', 'differential', 'scenario', 'angered', 'interactions', 'Illinois', 'recognizing', 'Hanover', '72.7', 'compensation', 'propagandize', 'expelled', 'stake', 'tolerate', 'NL', 'Austria', 'modernization', 'English-speaking', 'degenerative', 'McFarlan', 'Younkers', 'vary', 'second-largest', 'young', 'stock-index', 'circulation', '12.52', 'estimate', 'incurred', 'labels', 'disturbing', 'Ky.', 'large-scale', 'book', '4.898', 'get', 'Hawke', 'pill', 'payment', 'spenders', '700', 'government', 'Reserve', 'Yasuda', 'Sonny', 'bomber', 'bidders', 'defended', 'receivers', 'driver', 'More', 'greater', 'obsessed', '42-year', '175', 'sounding', 'Albuquerque', 'W.D.', 'Baldwin', 'Data', 'Lee', 'authors', '*T*-7', 'Brazilian', 'military', 'Navy', '472', '1991', 'Central', 'saw', 'Carter', 'affair', 'paying', 'Douglas', 'indicators', 'intent', 'risen', 'Mich.-based', 'senate', 'speculators', 'Auctions', 'designers', 'Cathedral', 'hampered', 'Souper', 'Polish', 'claimed', 'planners', 'bids', 'subscribe', 'Filmed', 'suffered', 'Julia', 'Lord', 'younger', 'January', 'indications', '*T*-32', 'incisions', 'appliance', 'Rhone', 'Army', 'crane-safety', 'admitted', 'understand', 'Industries', 'Time', 'hair', 'bank', 'Poor', 'third-highest', '.', 'bring', 'claims', '1999', 'Barney', 'pound', 'perform', 'Mulford', 'licenses', 'balls', 'negotiator', 'unpopularity', 'impressive', 'Robertson', 'Morita', 'shore', 'appeared', 'Rogers', 'fuel', 'Islands', 'rulings', 'Midwestern', 'MITI', 'takeover', 'entirely', '*T*-74', 'band-wagon', 'computer-driven', 'inspection', 'Unitholders', 'Cosmopolitan', 'outlook', 'let', 'needy', 'about', 'coordinate', 'exclusive', 'Joel', 'high-minded', 'improper', 'Bennett', 'executive', 'might', 'taxes', 'rich', 'blind', 'fetal-tissue', 'skin', 'embassy', 'exits', 'len', 'lowered', 'Order', 'arising', 'gauges', 'nine-month', 'polled', 'mistakes', 'Sanford', 'Dakotas', 'slew', 'Dom', 'Christopher', 'memory', 'ordeal', 'Merc', 'Connecticut', 'opinion', '1.7', 'appease', 'Eugene', 'hero', 'semiconductor', 'assembled', 'cure', 'ton', 'studio', 'Mellon', 'materialized', 'nearly-30', 'Sumitomo', 'Isabelle', 'penchant', 'one-month', 'drug', 'burlap', 'Dole', 'creature', 'Clays', 'unjustified', '*T*-27', 'polish', 'equivalent', '3.6', 'mediocre', 'Tandy', 'victim', 'add', 'Carla', 'mania', 'speculative', 'looks', 'Mitsubishi', 'cent', 'open-end', 'Some', 'upstream', '184', 'Examiner', '1985', 'exhaust', 'instrumental', 'Stamford', 'evolution', 'worship', '274', 'awarded', 'committing', 'referring', 'watches', 'warning', 'lesson', 'altering', 'Builders', 'males', 'war', 'buildup', 'armed', 'Fourteen', 'handling', 'scholars', 'Minera', 'Drew', '*?*', 'ballroom', 'Rozell', '7.15', 'TWO', 'work', 'cane', 'Lama', 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'profit-taking', 'restricts', 'Allendale', 'co-developers', 'increased', 'letters', 'one-upsmanship', 'Iran\\/Contra', 'openly', 'opportunities', 'Standing', 'moons', 'tally', 'highway', 'bald-faced', '149', 'upside', 'historic', 'enabling', 'harmful', 'taxation', 'compel', 'pressures', 'billions', 'Thai', 'shipping', 'bureaucracy', 'alternatively', 'Rolling', 'Newsweek', 'mollified', 'Mahoney', 'Garrison', 'emerging', 'priority', '10-year', 'trays', 'Marshall', 'den', 'contemporary', 'Paris', 'ministers', 'crops', 'yen', 'stiff', 'harder', 'smartly', 'WPP', '*-58', '278.7', 'stiffer', 'Landrieu', 'Before', 'demonstrations', 'sensation', 'denied', 'five-point', 'Queen', 'enough', 'hospitable', 'FIRST', 'force', 'surgery', 'witness', 'healing', 'Fidelity', 'single-lot', 'repaid', 'untrue', 'visit', '26.2', 'Jerritts', 'benefit', 'concentrated', 'None', 'Pattenden', 'modify', 'rights', 'Wellington', 'signaling', 'Alysia', 'circuit-board', '1,400', 'equip', 'Major', 'her', 'initiatives', 'sports', 'loveliest', 'gross', 'ads', 'Civil', 'mid-afternoon', 'appear', 'resist', 'long-time', 'Warsaw', 'adjustable', 'puzzled', 'restricting', 'one-hour', 'May', 'downturn', 'settle', 'according', 'teachers', 'Patients', 'PCs', 'flashy', 'felony', 'frankly', 'Jihad', 'worker', 'Dompierre', 'Blue', 'gone', 'Supportive', 'Toledo', 'debentures', 'Griffin', 'pre-cooked', 'respond', 'single-handed', 'wallowing', 'take', 'ready', 'easy', 'invite', 'Dresser', 'globally', '15,000', '374.19', 'literature', 'nonfinancial', 'Stephen', '2005', 'expectation', 'beat', 'dormitory', 'lofty', 'unwary', 'France', 'consumer', '8.35', '8.30', 'Generally', 'practice', 'middle-ground', 'firm', 'Brazil', 'blacks', 'EVERYONE', 'affiliates', '26.5', 'amended', 'Fracturing', 'Inns', 'ever', 'handles', '93.3', 'loss', 'trends', '*T*-2', 'Jersey', 'rated', 'advertisers', 'Mayer', 'Gartner', 'supercomputer', 'headquarters', '1971', 'August', '*T*-120', 'combat', 'gentle', 'professionals', '20.5', '4.1', '35.7', 'metals', 'Haut-Brion', 'Officials', 'reluctant', 'above-market', 'bottle', 'presumably', '6.9', 'high-level', 'Power', 'cleaned', 'Moleculon', 'go', 'Australian', 'judge', 'bankrupt', 'land-idling', 'addiction', 'materials', 'severable', 'crises', 'cluster', 'log', 'Barbados', 'Georgia-Pacific', 'receipt', 'belong', 'Authority', 'Geneva', 'agriculture', 'goblins', 'broader', 'written', 'Associates', 'ball', 'Delwin', 'Monetary', 'Take', '0.4', 'had', 'temptation', 'important', 'wasted', 'cute', 'good-natured', 'morphogenetic', 'transplants', 'engineered', '46', 'regional', '35.2', 'provide', 'By', 'Muramatsu', 'incorporated', 'Dunkin', 'offer', 'pulp', 'serviced', 'probably', 'administrative', '94.8', 'geography', 'Wayland', 'carriers', 'Hymowitz', 'client', 'yearly', 'singled', '*-57', 'backlogs', 'Wilcox', 'Laser', 'striving', 'Village', 'airlines', 'litany', 'Egypt', 'idiomatic', 'better', 'fresh', 'Melamed', 'disturbs', 'inventories', 'Ednie', '*T*-211', 'Artist', 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'begin', 'high-technology', '47', '116.9', 'Lafite-Rothschild', 'thinking', 'frustrating', 'proviso', 'Bridge', 'Investors', 'enabled', 'capsules', 'declined', 'science', 'partisans', 'sexy', 'specific', 'floor', 'Judges', 'master', 'Circuit', 'calculations', 'Columbus', '6.7', 'ensnarled', 'cheerleading', 'expense', 'helm', '*T*-213', 'various', 'dynamics', 'media', 'Even', 'quiet', 'Agency', 'places', '*T*-245', 'present', 'herself', 'Sloan', '109.73', 'passenger-car', 'carries', 'responding', 'half', 'personally', 'contract', 'breakdown', 'Italian', 'Vegas', 'Schweiz', 'conversion', 'unable', 'Estimated', 'Register', 'Continental', 'killings', 'inaccurately', 'high-balance', 'outsiders', 'widget', '125', 'Albany', '1.92', 'high-stakes', 'photograph', 'six-inch', 'fifth-grade', 'distributed', '*T*-98', '11.5', 'statutory', 'preliminary', 'attempts', 'contracted', 'soul', 'complaining', 'characterized', 'Deborah', 'Unemployment', 'heart', 'meals', 'Greer', 'fill', 'prerogatives', 'exceeded', 'construction', 'Interpublic', '80.8', 'departures', 'investments', 'Ackerman', 'Garbage', 'rigged', '38', 'unofficial', 'leap', '0.56', 'automotive', 'moderated', 'behalf', 'constantly', 'C.', '26.8', 'alienated', 'offense', 'fairness', 'urged', 'format', 'mega-stadium', 'Bankruptcy', 'WHAS', 'Technology', 'Fair', 'Orange', 'barometer', 'needle-like', 'faded', 'taste', '*T*-38', 'Most', 'Assuming', 'officials', '2.4', 'particulars', 'dismay', 'degrees', 'lover', '*T*-20', 'Ideas', 'jeopardy', 'radically', 'Scott', 'have', 'THAT', '326', 'campus', 'Co.', 'Bowery', 'dry', 'Stirlen', 'limbo', 'recover', 'Notes', 'ambassador', '2000', "O'Loughlin", 'shivers', '*T*-241', 'Advance', 'administrators', 'Put', 'R.', 'execute', 'many', 'Herbert', 'pushes', '6.84', 'advertorial', 'IBC', 'accounted', 'stemmed', 'write-downs', 'Hampshire', 'wide', 'Fears', 'FUNDS', 'unfairly', 'calling', 'spouse', 'clarified', 'health', 'Chilver', 'much-larger', '63.79', 'outcry', 'corporations', 'pull', 'corporate', 'refinery', 'evensong', 'dubbed', 'thread', 'iota', 'frozen', 'Journal', 'devote', 'Corporate', '*T*-137', 'sheepskin', 'jeopardizing', '23.72', 'Barbaresco', 'onslaught', 'aide', 'society', 'Review', 'wherewithal', 'feasible', 'position', 'sunny', 'over-the-counter', 'Napolitan', 'informally', 'alleviate', 'escape', 'Rumors', 'low', 'cargo', 'Yamaichi', 'amicable', 'status', 'spotted', 'Koizumi', 'measure', 'CEO', 'small-company', 'entity', '2160.1', 'win', 'Speculation', 'Bangkok', 'rankings', '420', 'avenge', 'refunds', 'Issues', 'INGERSOLL-RAND', 'growth', 'improvements', 'TIRED', '*T*-242', 'maximize', '334.5', '236.79', 'Mehta', 'restructured', 'Linda', 'Kirkpatrick', 'prominently', 'lens', 'despised', 'excellence', '2691.19', 'destroy', 'identity-management', 'afraid', 'Pa.', '144', '154.2', 'Breeden', 'shudders', 'democratic', 'definitive', 'mean', 'sections', 'Industrial', 'them', 'Nomura', 'stability', '5.92', 'around', 'crews', 'Fans', 'Norfolk', 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'implicitly', 'still', 'knell', '*T*-208', 'issuers', '*T*-25', 'intimidate', 'sophisticated', '1961', 'existence', 'Dobson', 'condemning', 'vans', '2.65', 'doubled', 'eyes', 'inherited', 'sweeten', 'savings', 'anti-drug', 'PHOTOGRAPH', 'confrontational', 'Choose', 'gloomy', 'gold', 'congressman', '$', 'ports', 'convertible', 'parched', 'downright', 'range', 'entertain', 'cups', 'tormentors', 'fourth-quarter', 'whimsical', 'Barrett', 'Oliver', 'bled', 'utilities', 'tracking', 'concentration', 'resign', 'standard', 'Supreme', 'durable', 'truth-in-lending', 'Source', 'drop-in', '605', 'ascendency', 'faces', 'jostle', 'retires', 'appropriated', 'Backe', 'Carnegie-Mellon', 'discos', '37', 'thing', 'microcomputers', '8.65', 'competitions', 'does', 'Surrey', 'encourages', 'Lorenzo', 'aspect', 'sums', 'favorite', 'tubes', 'exuded', 'development', 'computerized', 'U.S.-backed', 'expires', 'revenue', 'implant', 'entitled', 'record', 'pretax', 'demands', '*T*-135', 'undergoing', 'producer', 'produces', '24,000', 'assert', '2.15', 'Democratic', 'trap', 'highest-pitched', 'industrywide', 'crime', 'Fields', 'solid', 'co-chairman', 'Nagymaros', '98.3', 'seasoned', '*T*-114', 'distorted', 'Concurrent', 'Protection', 'Sept.30', 'members', 'compliance', 'ceiling', 'downfall', '?', 'domestically', '139', 'try', 'anything', '*T*-105', 'error', 'Legg', 'notify', 'Sandoz', 'Marge', 'worse', 'stalls', 'likely', 'marketed', '17.4', 'ISSUES', 'Intecknings', 'Bowes', 'privacy', 'Participants', 'contrary', 'Hiroshima', 'Faulding', 'redeploy', 'protein', 'inventory', '52-week', 'merge', 'death', 'juvenile', 'minutes', 'ai', 'Bass', '3.3', 'knife', 'acid', 'Than', 'befell', 'Calif.', 'Producers', 'Nevertheless', 'mathematics', 'year-long', '0', 'hospitals', 'Tribune', 'grain', 'days', 'light', 'index-fund', 'nightmare', 'possible', 'Temple', '1948', '405', 'portfolio', 'screwed', '*-154', 'remainder', 'Genetics', 'met', 'figures', 'scrutiny', 'polyproplene', 'delivery', 'apiece', 'energetic', 'clause', 'Regal', 'awareness', 'saving', 'earthquake', 'Davis', 'Red-blooded', 'whenever', 'prospective', '8.5', 'fate', 'haul', 'Raton', 'pence', '22', 'segments', 'USX', 'bell', 'unloaded', 'TRIMMING', 'Wilder', 'anyway', 'loan', 'route', 'facilities', 'Kawasaki', 'engaging', 'Life', 'blinks', 'inner-city', 'ranging', 'understanding', 'taxpayer', 'Anglia', 'tricky', 'fallen', 'Manchester', 'touched', 'granting', 'worthiness', 'grows', 'exempt', '43-year-old', 'Jeremy', 'securities', 'Mike', 'resentment', 'Lebanon', 'whirling', 'retorts', '*T*-53', 'tendering', 'Down', 'Irvine', 'Food', 'F.W.', 'stemming', 'N.C.', 'Si', 'change-ringing', 'department', 'enacted', 'IOUs', 'versus', 'obstacles', 'Missouri', 'moderately', 'bone', 'Hoylake', 'swap', 'controlled', 'find', 'Berson', 'Edison', 'Nicaraguan', '*-27', 'restore', 'Population', 'lipsticks', 'sorting', 'retirement', 'strongest', 'gored', 'findings', 'Island', 'C.D.s', 'fewer', 'investigate', 'Barge', 'strategic', 'finding', 'fear', 'family', '*ICH*-1', 'copy', 'suffering', 'Too', 'Loan', 'harmony', 'stages', 'dominates', 'disorders', 'baseball', 'dozens', 'improbable', 'asserting', 'Inc.', 'acid-rain', 'Krenz', 'consistently', 'diplomats', 'ACCOUNT', 'Shearson', 'feed', 'condition', 'Commissions', 'matching', 'permissible', 'photocopy', 'Economy', 'withdrew', 'councils', 'Champagnes', 'Stephanie'}
Unique Vocab Size : 12066
Tags List : {'ADP', 'ADV', '.', 'DET', 'VERB', 'NUM', 'PRT', 'X', 'PRON', 'ADJ', 'NOUN', 'CONJ'}
Unique Tags Size : 12

Build the vanilla Viterbi based POS tagger


In [ ]:
#First We need to build the Transition Probability (Tag to Tag) and Emission Probability (Tag to Vocab Word) Matrix

Solving "The learning problem" Stage


In [48]:
# compute probability next tag based on previous tag 

def getTransitionProbability(nextTag, baseTag, train_bag = WordTagPairList):
    tags = [pair[1] for pair in train_bag]
    TotalCountOfBaseTag = len([t for t in tags if t==baseTag])
    TotalCountNextTagFollowingBaseTag = 0
    for index in range(len(tags)-1):
        if tags[index]==baseTag and tags[index+1] == nextTag:
            TotalCountNextTagFollowingBaseTag += 1
    return (TotalCountNextTagFollowingBaseTag, TotalCountOfBaseTag)

def getProbability(Numerator, Denominator):
    return Numerator/Denominator

In [52]:
#Test

print(getTransitionProbability(nextTag='VERB', baseTag='NOUN'))
count1 , count2 = getTransitionProbability(nextTag='VERB', baseTag='NOUN')
print(getProbability(count1, count2))
print(getTransitionProbability(nextTag='VERB', baseTag='ADV'))
print(getTransitionProbability(nextTag='VERB', baseTag='.'))
print(getTransitionProbability(nextTag='DET', baseTag='.'))


(4019, 27377)
0.1468020601234613
(1031, 3017)
(982, 11098)
(1927, 11098)

In [55]:
#create the Transition Probability Matrix
TransitionProbabilityMatrix = np.zeros((len(TagSet), len(TagSet)), dtype='float32')
for i, baseTag in enumerate(list(TagSet)):
    for j, nextTag in enumerate(list(TagSet)): 
        nextTagOnBaseTagCount, baseTagCount = getTransitionProbability(nextTag, baseTag)
        TransitionProbabilityMatrix[i, j] = nextTagOnBaseTagCount/baseTagCount

In [57]:
# checking values of Transition Probabilities
print(TransitionProbabilityMatrix)
print("Dimensions of Transition Matrix are : " +str(len(TransitionProbabilityMatrix)) + "," + str(len(TransitionProbabilityMatrix[0])) )


[[1.65562909e-02 1.35654779e-02 4.05896194e-02 3.23862433e-01
  8.22473876e-03 6.25934601e-02 1.38859218e-03 3.47148031e-02
  6.96432367e-02 1.07028410e-01 3.20871621e-01 9.61333048e-04]
 [1.18992373e-01 8.08750391e-02 1.37222409e-01 6.82797506e-02
  3.41730207e-01 3.18196900e-02 1.49154793e-02 2.35333107e-02
  1.49154793e-02 1.29930392e-01 3.04938685e-02 7.29201175e-03]
 [9.17282403e-02 5.29825203e-02 9.34402570e-02 1.73634887e-01
  8.84844139e-02 8.15462247e-02 2.52297707e-03 2.65813656e-02
  6.59578294e-02 4.39718850e-02 2.21120924e-01 5.79383671e-02]
 [9.54452064e-03 1.26857553e-02 1.71559751e-02 5.55756921e-03
  3.96278836e-02 2.23510936e-02 2.41633446e-04 4.56687212e-02
  3.74531839e-03 2.04421893e-01 6.38516366e-01 4.83266893e-04]
 [9.10717100e-02 8.13501328e-02 3.47643495e-02 1.35013223e-01
  1.70399755e-01 2.27095969e-02 3.11090369e-02 2.16752216e-01
  3.56198475e-02 6.57178387e-02 1.10359311e-01 5.13299135e-03]
 [3.37178335e-02 2.95770471e-03 1.19195506e-01 2.95770471e-03
  1.65631473e-02 1.85448095e-01 2.72108838e-02 2.08518192e-01
  1.47885235e-03 3.22389826e-02 3.55516106e-01 1.41969835e-02]
 [2.02746894e-02 9.81033314e-03 4.28384580e-02 1.00392416e-01
  4.00915623e-01 5.68999350e-02 1.96206663e-03 1.27534335e-02
  1.86396334e-02 8.33878368e-02 2.49836490e-01 2.28907773e-03]
 [1.43426299e-01 2.56573707e-02 1.63665339e-01 5.51394410e-02
  2.04940245e-01 2.86852592e-03 1.85179278e-01 7.55378455e-02
  5.48207164e-02 1.68924294e-02 6.18326701e-02 1.00398408e-02]
 [2.26400606e-02 3.37682255e-02 4.02916335e-02 9.59324650e-03
  4.82348412e-01 7.29086716e-03 1.22793550e-02 9.43975449e-02
  8.05832725e-03 7.40598589e-02 2.09900230e-01 5.37221786e-03]
 [7.74427429e-02 4.94315382e-03 6.49200827e-02 4.61360998e-03
  1.21931126e-02 2.04317030e-02 1.03806229e-02 2.05964744e-02
  6.59087149e-04 6.60734847e-02 7.00774431e-01 1.69714950e-02]
 [1.77484751e-01 1.70581136e-02 2.38923177e-01 1.31862508e-02
  1.46802053e-01 9.71618481e-03 4.39785235e-02 2.96234060e-02
  4.67545772e-03 1.22000221e-02 2.63688505e-01 4.26635481e-02]
 [5.39785959e-02 5.63052595e-02 3.58306207e-02 1.17729180e-01
  1.54025123e-01 4.14146110e-02 5.11865970e-03 8.84132180e-03
  6.00279197e-02 1.17263846e-01 3.48999530e-01 4.65332705e-04]]
Dimensions of Transition Matrix are : 12,12

In [60]:
TransitionProbabilityMatrixDF = pd.DataFrame(TransitionProbabilityMatrix, columns = list(TagSet), index=list(TagSet))
TransitionProbabilityMatrixDF.head(5)


Out[60]:
ADP ADV . DET VERB NUM PRT X PRON ADJ NOUN CONJ
ADP 0.016556 0.013565 0.040590 0.323862 0.008225 0.062593 0.001389 0.034715 0.069643 0.107028 0.320872 0.000961
ADV 0.118992 0.080875 0.137222 0.068280 0.341730 0.031820 0.014915 0.023533 0.014915 0.129930 0.030494 0.007292
. 0.091728 0.052983 0.093440 0.173635 0.088484 0.081546 0.002523 0.026581 0.065958 0.043972 0.221121 0.057938
DET 0.009545 0.012686 0.017156 0.005558 0.039628 0.022351 0.000242 0.045669 0.003745 0.204422 0.638516 0.000483
VERB 0.091072 0.081350 0.034764 0.135013 0.170400 0.022710 0.031109 0.216752 0.035620 0.065718 0.110359 0.005133

In [62]:
#checking the heatmap for how good the dependencies are.
plt.figure(figsize=(12, 12))
sns.heatmap(TransitionProbabilityMatrixDF)
plt.show()



In [63]:
#Creating Vocab Emission Probability based on Tag State (TagSize x Vocab)matrix
tagCount = len(TagSet)
vocabCount = len(Vocab)
EmissionProbabilityMatrix = np.zeros((tagCount, vocabCount))

In [64]:
#Emission Probability
def getEmissionProbability(word, tag, train_bag = WordTagPairList):
    BaseWordTagPairList = [pair for pair in train_bag if pair[1]==tag]
    BaseTagCount = len(BaseWordTagPairList)
    WordEmissionCountOnTag = [pair[0] for pair in BaseWordTagPairList if pair[0]==word]
    WordEmissionCount = len(WordEmissionCountOnTag)
    
    return (WordEmissionCount, BaseTagCount)

In [68]:
#test
print(getEmissionProbability('best', 'ADJ'))


(12, 6069)

Creating the HMM Model with Viterbi Heuristics


In [79]:
#Tagging Using Hiden Markov Model and Viterbi Heuristic
def HMMTaggerWithViterbi(wordList, train_bag = WordTagPairList):
    PredictedTagList = []
    
    TagsList = list(set([pair[1] for pair in train_bag]))
    
    for key, word in enumerate(wordList):
        #initialise list of probability column for a given observation
        CandidateProbabilityList = [] 
        for tag in TagsList:
            if key == 0:
                #Probability of Tag Just after Start State 
                TransitionProbability = TransitionProbabilityMatrixDF.loc['.', tag]
            else:
                #Probability of Tag after Previous Tag
                TransitionProbability = TransitionProbabilityMatrixDF.loc[PredictedTagList[-1], tag]
                
            #Emission Probability
            EmissionCount, TotalCount = getEmissionProbability(wordList[key], tag)
            EmissionProbability = EmissionCount/TotalCount

            #State Probability 
            StateProbability = EmissionProbability * TransitionProbability    
            CandidateProbabilityList.append(StateProbability)
            
        maximumStateProbability = max(CandidateProbabilityList)
        # getting state for which probability is maximum
        PredictedTag = TagsList[CandidateProbabilityList.index(maximumStateProbability)] 
        PredictedTagList.append(PredictedTag)
    return list(zip(wordList, PredictedTagList))

Validation Set Evaluation


In [73]:
random.seed(100)

# choose random 5 sents
rndom = [random.randint(1,len(validation_set)) for x in range(5)]

# list of validation sentences
validationSentences = [validation_set[i] for i in rndom]

#list of validation Tuples created from Validation Sentences
validationTuples = [tup for sent in validationSentences for tup in sent]
print(validationTuples)


#list of only Validation words, stripped off the tags. These will be predicted by HMMTagger and later compared for accuracy
ValidationWords = [tup[0] for sent in validationSentences for tup in sent]
print(ValidationWords)


[('The', 'DET'), ('thrift', 'NOUN'), ('surely', 'ADV'), ('could', 'VERB'), ('be', 'VERB'), ('sold', 'VERB'), ('*-1', 'X'), ('for', 'ADP'), ('more', 'ADJ'), ('than', 'ADP'), ('the', 'DET'), ('value', 'NOUN'), ('of', 'ADP'), ('its', 'PRON'), ('equity', 'NOUN'), (',', '.'), ('financial', 'ADJ'), ('industry', 'NOUN'), ('executives', 'NOUN'), ('say', 'VERB'), ('0', 'X'), ('*T*-2', 'X'), ('.', '.'), ('Mr.', 'NOUN'), ('Coleman', 'NOUN'), ('said', 'VERB'), ('this', 'DET'), ('week', 'NOUN'), ('that', 'ADP'), ('he', 'PRON'), ('would', 'VERB'), ('devote', 'VERB'), ('the', 'DET'), ('remainder', 'NOUN'), ('of', 'ADP'), ('the', 'DET'), ('political', 'ADJ'), ('season', 'NOUN'), ('to', 'PRT'), ('positive', 'ADJ'), ('campaigning', 'NOUN'), (',', '.'), ('but', 'CONJ'), ('the', 'DET'), ('truce', 'NOUN'), ('lasted', 'VERB'), ('only', 'ADV'), ('hours', 'NOUN'), ('.', '.'), ('California', 'NOUN'), ("'s", 'PRT'), ('education', 'NOUN'), ('department', 'NOUN'), ('suspects', 'VERB'), ('adult', 'NOUN'), ('responsibility', 'NOUN'), ('for', 'ADP'), ('erasures', 'NOUN'), ('at', 'ADP'), ('40', 'NUM'), ('schools', 'NOUN'), ('that', 'DET'), ('*T*-85', 'X'), ('changed', 'VERB'), ('wrong', 'ADJ'), ('answers', 'NOUN'), ('to', 'PRT'), ('right', 'ADJ'), ('ones', 'NOUN'), ('on', 'ADP'), ('a', 'DET'), ('statewide', 'ADJ'), ('test', 'NOUN'), ('.', '.'), ('In', 'ADP'), ('addition', 'NOUN'), (',', '.'), ('Upjohn', 'NOUN'), ('is', 'VERB'), ('offering', 'VERB'), ('a', 'DET'), ('one-time', 'ADJ'), ('retirement', 'NOUN'), ('bonus', 'NOUN'), ('equal', 'ADJ'), ('to', 'PRT'), ('six', 'NUM'), ('months', 'NOUN'), ('of', 'ADP'), ('base', 'NOUN'), ('pay', 'NOUN'), ('.', '.'), ('The', 'DET'), ('nonprofit', 'ADJ'), (',', '.'), ('industry-supported', 'ADJ'), ('group', 'NOUN'), ('said', 'VERB'), ('0', 'X'), ('its', 'PRON'), ('Consumer', 'NOUN'), ('Confidence', 'NOUN'), ('Index', 'NOUN'), ('was', 'VERB'), ('116.4', 'NUM'), ('in', 'ADP'), ('October', 'NOUN'), (',', '.'), ('*-1', 'X'), ('barely', 'ADV'), ('changed', 'VERB'), ('*-2', 'X'), ('from', 'ADP'), ('a', 'DET'), ('revised', 'VERB'), ('116.3', 'NUM'), ('in', 'ADP'), ('September', 'NOUN'), ('.', '.')]
['The', 'thrift', 'surely', 'could', 'be', 'sold', '*-1', 'for', 'more', 'than', 'the', 'value', 'of', 'its', 'equity', ',', 'financial', 'industry', 'executives', 'say', '0', '*T*-2', '.', 'Mr.', 'Coleman', 'said', 'this', 'week', 'that', 'he', 'would', 'devote', 'the', 'remainder', 'of', 'the', 'political', 'season', 'to', 'positive', 'campaigning', ',', 'but', 'the', 'truce', 'lasted', 'only', 'hours', '.', 'California', "'s", 'education', 'department', 'suspects', 'adult', 'responsibility', 'for', 'erasures', 'at', '40', 'schools', 'that', '*T*-85', 'changed', 'wrong', 'answers', 'to', 'right', 'ones', 'on', 'a', 'statewide', 'test', '.', 'In', 'addition', ',', 'Upjohn', 'is', 'offering', 'a', 'one-time', 'retirement', 'bonus', 'equal', 'to', 'six', 'months', 'of', 'base', 'pay', '.', 'The', 'nonprofit', ',', 'industry-supported', 'group', 'said', '0', 'its', 'Consumer', 'Confidence', 'Index', 'was', '116.4', 'in', 'October', ',', '*-1', 'barely', 'changed', '*-2', 'from', 'a', 'revised', '116.3', 'in', 'September', '.']

In [84]:
def getHMMAccuracy(testSetList, OriginalWordTagList):
    start = time.time()
    TaggedWordSequence = HMMTaggerWithViterbi(testSetList)
    end = time.time()
    difference = end-start
    print("Time taken in seconds: ", difference)
    print(TaggedWordSequence)
    print(OriginalWordTagList)
    
    correctlyTaggedWordCount = [i for i, j in zip(TaggedWordSequence, OriginalWordTagList) if i == j] 
    accuracy = len(correctlyTaggedWordCount)/len(TaggedWordSequence)
    print (accuracy)

In [86]:
getHMMAccuracy(ValidationWords, validationTuples )


Time taken in seconds:  9.904066562652588
[('The', 'DET'), ('thrift', 'NOUN'), ('surely', 'ADV'), ('could', 'VERB'), ('be', 'VERB'), ('sold', 'VERB'), ('*-1', 'X'), ('for', 'ADP'), ('more', 'ADJ'), ('than', 'ADP'), ('the', 'DET'), ('value', 'NOUN'), ('of', 'ADP'), ('its', 'PRON'), ('equity', 'NOUN'), (',', '.'), ('financial', 'ADJ'), ('industry', 'NOUN'), ('executives', 'NOUN'), ('say', 'VERB'), ('0', 'X'), ('*T*-2', 'X'), ('.', '.'), ('Mr.', 'NOUN'), ('Coleman', 'NOUN'), ('said', 'VERB'), ('this', 'DET'), ('week', 'NOUN'), ('that', 'ADP'), ('he', 'PRON'), ('would', 'VERB'), ('devote', 'VERB'), ('the', 'DET'), ('remainder', 'NOUN'), ('of', 'ADP'), ('the', 'DET'), ('political', 'ADJ'), ('season', 'NOUN'), ('to', 'PRT'), ('positive', 'ADJ'), ('campaigning', 'NOUN'), (',', '.'), ('but', 'CONJ'), ('the', 'DET'), ('truce', 'NOUN'), ('lasted', 'ADP'), ('only', 'ADV'), ('hours', 'NOUN'), ('.', '.'), ('California', 'NOUN'), ("'s", 'PRT'), ('education', 'NOUN'), ('department', 'NOUN'), ('suspects', 'NOUN'), ('adult', 'NOUN'), ('responsibility', 'NOUN'), ('for', 'ADP'), ('erasures', 'ADP'), ('at', 'ADP'), ('40', 'NUM'), ('schools', 'NOUN'), ('that', 'ADP'), ('*T*-85', 'ADP'), ('changed', 'VERB'), ('wrong', 'ADJ'), ('answers', 'NOUN'), ('to', 'PRT'), ('right', 'NOUN'), ('ones', 'NOUN'), ('on', 'ADP'), ('a', 'DET'), ('statewide', 'ADJ'), ('test', 'NOUN'), ('.', '.'), ('In', 'ADP'), ('addition', 'NOUN'), (',', '.'), ('Upjohn', 'NOUN'), ('is', 'VERB'), ('offering', 'VERB'), ('a', 'DET'), ('one-time', 'ADJ'), ('retirement', 'NOUN'), ('bonus', 'NOUN'), ('equal', 'ADJ'), ('to', 'PRT'), ('six', 'NUM'), ('months', 'NOUN'), ('of', 'ADP'), ('base', 'NOUN'), ('pay', 'VERB'), ('.', '.'), ('The', 'DET'), ('nonprofit', 'ADP'), (',', '.'), ('industry-supported', 'ADP'), ('group', 'NOUN'), ('said', 'VERB'), ('0', 'X'), ('its', 'PRON'), ('Consumer', 'NOUN'), ('Confidence', 'ADP'), ('Index', 'NOUN'), ('was', 'VERB'), ('116.4', 'ADP'), ('in', 'ADP'), ('October', 'NOUN'), (',', '.'), ('*-1', 'X'), ('barely', 'ADP'), ('changed', 'VERB'), ('*-2', 'X'), ('from', 'ADP'), ('a', 'DET'), ('revised', 'ADP'), ('116.3', 'ADP'), ('in', 'ADP'), ('September', 'NOUN'), ('.', '.')]
[('The', 'DET'), ('thrift', 'NOUN'), ('surely', 'ADV'), ('could', 'VERB'), ('be', 'VERB'), ('sold', 'VERB'), ('*-1', 'X'), ('for', 'ADP'), ('more', 'ADJ'), ('than', 'ADP'), ('the', 'DET'), ('value', 'NOUN'), ('of', 'ADP'), ('its', 'PRON'), ('equity', 'NOUN'), (',', '.'), ('financial', 'ADJ'), ('industry', 'NOUN'), ('executives', 'NOUN'), ('say', 'VERB'), ('0', 'X'), ('*T*-2', 'X'), ('.', '.'), ('Mr.', 'NOUN'), ('Coleman', 'NOUN'), ('said', 'VERB'), ('this', 'DET'), ('week', 'NOUN'), ('that', 'ADP'), ('he', 'PRON'), ('would', 'VERB'), ('devote', 'VERB'), ('the', 'DET'), ('remainder', 'NOUN'), ('of', 'ADP'), ('the', 'DET'), ('political', 'ADJ'), ('season', 'NOUN'), ('to', 'PRT'), ('positive', 'ADJ'), ('campaigning', 'NOUN'), (',', '.'), ('but', 'CONJ'), ('the', 'DET'), ('truce', 'NOUN'), ('lasted', 'VERB'), ('only', 'ADV'), ('hours', 'NOUN'), ('.', '.'), ('California', 'NOUN'), ("'s", 'PRT'), ('education', 'NOUN'), ('department', 'NOUN'), ('suspects', 'VERB'), ('adult', 'NOUN'), ('responsibility', 'NOUN'), ('for', 'ADP'), ('erasures', 'NOUN'), ('at', 'ADP'), ('40', 'NUM'), ('schools', 'NOUN'), ('that', 'DET'), ('*T*-85', 'X'), ('changed', 'VERB'), ('wrong', 'ADJ'), ('answers', 'NOUN'), ('to', 'PRT'), ('right', 'ADJ'), ('ones', 'NOUN'), ('on', 'ADP'), ('a', 'DET'), ('statewide', 'ADJ'), ('test', 'NOUN'), ('.', '.'), ('In', 'ADP'), ('addition', 'NOUN'), (',', '.'), ('Upjohn', 'NOUN'), ('is', 'VERB'), ('offering', 'VERB'), ('a', 'DET'), ('one-time', 'ADJ'), ('retirement', 'NOUN'), ('bonus', 'NOUN'), ('equal', 'ADJ'), ('to', 'PRT'), ('six', 'NUM'), ('months', 'NOUN'), ('of', 'ADP'), ('base', 'NOUN'), ('pay', 'NOUN'), ('.', '.'), ('The', 'DET'), ('nonprofit', 'ADJ'), (',', '.'), ('industry-supported', 'ADJ'), ('group', 'NOUN'), ('said', 'VERB'), ('0', 'X'), ('its', 'PRON'), ('Consumer', 'NOUN'), ('Confidence', 'NOUN'), ('Index', 'NOUN'), ('was', 'VERB'), ('116.4', 'NUM'), ('in', 'ADP'), ('October', 'NOUN'), (',', '.'), ('*-1', 'X'), ('barely', 'ADV'), ('changed', 'VERB'), ('*-2', 'X'), ('from', 'ADP'), ('a', 'DET'), ('revised', 'VERB'), ('116.3', 'NUM'), ('in', 'ADP'), ('September', 'NOUN'), ('.', '.')]
0.8823529411764706

Validation Sample

Solve the problem of unknown words


In [ ]:


In [ ]:

Evaluating tagging accuracy


In [ ]:


In [ ]:

Compare the tagging accuracies of the modifications with the vanilla Viterbi algorithm


In [ ]:


In [ ]:


In [ ]:

List down cases which were incorrectly tagged by original POS tagger and got corrected by your modifications


In [ ]:


In [ ]:


In [ ]: