Full Code of ShomyLiu/pytorch-pcnn for AI

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Repository: ShomyLiu/pytorch-pcnn
Branch: master
Commit: e1c95ed6bef3
Files: 28
Total size: 20.6 MB

Directory structure:
gitextract_sqikvug5/

├── README.md
├── checkpoints/
│   └── .gitkeeper
├── config.py
├── dataset/
│   ├── SemEval/
│   │   ├── relation2id.txt
│   │   ├── senna_words.lst
│   │   ├── test/
│   │   │   ├── npy/
│   │   │   │   └── .gitkeeper
│   │   │   └── test.txt
│   │   ├── test.txt
│   │   ├── test_keys.txt
│   │   ├── train/
│   │   │   ├── npy/
│   │   │   │   └── .gitkeeper
│   │   │   └── train.txt
│   │   ├── train.txt
│   │   ├── vector_50.txt
│   │   ├── vocab.txt
│   │   └── w2v_50.npy
│   ├── __init__.py
│   └── semeval.py
├── main_sem.py
├── models/
│   ├── BasicModule.py
│   ├── PCNN.py
│   └── __init__.py
└── semeval/
    ├── .ipynb_checkpoints/
    │   └── res-checkpoint.txt
    ├── convert_to_rel.py
    ├── sem_res.txt
    ├── semeval2010_task8_format_checker.pl
    ├── semeval2010_task8_scorer-v1.2.pl
    ├── test.sh
    └── test_keys.txt

================================================
FILE CONTENTS
================================================

================================================
FILE: README.md
================================================
2018.10.16更新:

- master分支: Python 3.5x & Pytorch 0.4+
- dev 分支: Python 2.7x & Pytorch 0.3

## Introduction
基于Pytorch复现PCNN (Zeng 2014)全监督关系抽取的代码. 

相关博客地址: [关系抽取论文笔记](http://shomy.top/2018/02/28/relation-extraction/)

另外基于远程监督的PCNN+ONE (Zeng 2015) 代码连接: [PCNN+ONE/ATT](https://github.com/ShomyLiu/pytorch-relation-extraction)

## 数据集
使用Semeval 2010的9类关系(考虑方向 19类)

## 使用方法

- Python环境
    - pytorch 0.3(后续会升级为0.4及以后版本)
    - python 2.7x
    - fire

- 数据预处理: `python dataset/semeval.py`去生成npy文件
- 训练, 自动保存最优模型(未设计验证集)
    ```
    python main_sem.py train
    ```
    其中 参数配置位于 `config.py`,可以直接指定修改,如: `python main_sem.py train --batch_size=32`
- 模型预测的结果位于`semeval`文件夹,使用`./test.sh`使用semeval官方的脚本测试,最后结果保存于res.txt 
- F1大概可以到80-81%左右,经过fine-tuning 大概到82-83%

## 参考
- PCNN: Relation Classification via Convolutional Deep Neural Network


================================================
FILE: checkpoints/.gitkeeper
================================================


================================================
FILE: config.py
================================================
# -*- coding: utf-8 -*-

data_dic ={
    'SEM': {
        'data_root': './dataset/SemEval/',
        'w2v_path': './dataset/SemEval/train/npy/w2v.npy',
        # 'p2v_path': './dataset/SemEval/train/npy/p2v.npy',
        'vocab_size': 22315,  # vocab + UNK + BLANK
        'rel_num': 19
    }
}


class DefaultConfig(object):

    model = 'PCNN'  # the name of used model, in  <models/__init__.py>
    data = 'SEM'  # SEM

    result_dir = './out/'
    data_root = data_dic[data]['data_root']  # the data dir
    w2v_path = data_dic[data]['w2v_path']
    # p1_2v_path = data_dic[data]['p1_2v_path']
    # p2_2v_path = data_dic[data]['p2_2v_path']
    load_model_path = 'checkpoints/model.pth'  # the trained model

    seed = 99
    batch_size = 128  # batch size
    use_gpu = True  # user GPU or not
    gpu_id = 0
    num_workers = 0  # how many workers for loading data

    max_len = 80 + 2  # max_len for each sentence + two padding
    limit = 50  # the position range <-limit, limit>

    # vocab_size = 114042 + 2  # vocab + UNK + BLANK
    vocab_size = data_dic[data]['vocab_size']  # vocab + UNK + BLANK
    rel_num = data_dic[data]['rel_num']
    word_dim = 50
    pos_dim = 5
    pos_size = limit * 2 + 2

    norm_emb=True

    num_epochs = 100  # the number of epochs for training
    drop_out = 0.5
    lr = 0.003  # initial learning rate
    lr_decay = 0.95  # when val_loss increase, lr = lr*lr_decay
    weight_decay = 0.  # optimizer parameter

    # Conv
    filters = [3]
    filters_num = 230
    sen_feature_dim = filters_num

    rel_dim = filters_num * len(filters)
    rel_filters_num = 100

    print_opt = 'DEF'
    use_pcnn=True


def parse(self, kwargs):
        '''
        user can update the default hyperparamter
        '''
        for k, v in kwargs.items():
            if not hasattr(self, k):
                raise Exception('opt has No key: {}'.format(k))
            setattr(self, k, v)
        data_list = ['data_root', 'w2v_path', 'rel_num', 'vocab_size']
        for r in data_list:
            setattr(self, r, data_dic[self.data][r])

        print('*************************************************')
        print('user config:')
        for k, v in kwargs.items():
            if not k.startswith('__'):
                print("{} => {}".format(k, getattr(self, k)))

        print('*************************************************')


DefaultConfig.parse = parse
opt =DefaultConfig()


================================================
FILE: dataset/SemEval/relation2id.txt
================================================
0 Cause-Effect(e1,e2)
1 Cause-Effect(e2,e1)
2 Component-Whole(e1,e2)
3 Component-Whole(e2,e1)
4 Content-Container(e1,e2)
5 Content-Container(e2,e1)
6 Entity-Destination(e1,e2)
7 Entity-Destination(e2,e1)
8 Entity-Origin(e1,e2)
9 Entity-Origin(e2,e1)
10 Instrument-Agency(e1,e2)
11 Instrument-Agency(e2,e1)
12 Member-Collection(e1,e2)
13 Member-Collection(e2,e1)
14 Message-Topic(e1,e2)
15 Message-Topic(e2,e1)
16 Product-Producer(e1,e2)
17 Product-Producer(e2,e1)
18 Other


================================================
FILE: dataset/SemEval/senna_words.lst
================================================
!
!_____!____________!_____!_____!_______!_____!_______!______
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#
####
#0
#0&btr
#aaa
#n
#value
$
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andrea.hopkins@reuters.com
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anole
anomalies
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anon
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anonyme
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anopheles
anor
anorexia
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anorthosis
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another
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antarctic
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antartica
antbird
ante
anteater
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antec
antecedent
antecedents
antechamber
antechinus
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anti-baghdad
anti-ballistic
anti-berisha
anti-british
anti-cancer
anti-castro
anti-china
anti-chinese
anti-christian
anti-climax
anti-communist
anti-competition
anti-competitive
anti-constitutional
anti-corruption
anti-crime
anti-crisis
anti-cuba
anti-defamation
anti-democratic
anti-depressant
anti-dilutive
anti-discrimination
anti-doping
anti-drug
anti-drugs
anti-dumping
anti-emu
anti-eta
anti-eu
anti-euro
anti-european
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anti-fascist
anti-foreigner
anti-fraud
anti-french
anti-front
anti-gay
anti-german
anti-government
anti-graft
anti-guerrilla
anti-gun
anti-hiv
anti-immigrant
anti-immigration
anti-import
anti-indonesian
anti-infectives
anti-inflammatory
anti-inflation
anti-inflationary
anti-iraq
anti-islamist
anti-israel
anti-israeli
anti-japan
anti-japanese
anti-jewish
anti-kidnap
anti-lock
anti-maastricht
anti-mafia
anti-milosevic
anti-mine
anti-missile
anti-mobutu
anti-money
anti-monopolies
anti-monopoly
anti-moscow
anti-moslem
anti-narcotics
anti-nato
anti-nazi
anti-nuclear
anti-obesity
anti-personnel
anti-piracy
anti-pollution
anti-poverty
anti-privatisation
anti-racism
anti-racist
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anti-rebel
anti-riot
anti-russian
anti-sandinista
anti-semitic
anti-semitism
anti-ship
anti-smoking
anti-smuggling
anti-social
anti-soviet
anti-speculation
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anti-subversion
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anti-terror
anti-terrorism
anti-terrorist
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anti-trust
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anti-union
anti-viral
anti-virus
anti-western
antiaircraft
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antibacterial
antibes
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antica
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anticoagulants
anticommunist
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antidepressant
antidepressants
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antifreeze
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antigens
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antigonish
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antill
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antilles
antimatter
antimicrobial
antimony
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antinous
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antiochus
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antiope
antioqueno
antioquia
antioxidant
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antiparticle
antipas
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antiphon
antiphonal
antiphons
antipodes
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antipope
antiproton
antipsychotic
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antiqua
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antiquity
antiretroviral
antisemitic
antisemitism
antisense
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antisubmarine
antisymmetric
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antivirus
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antlers
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antonella
antonelli
antonello
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antoninus
antonio
antonioni
antonios
antonis
antonius
antonov
antonov0
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antonym
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anus
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anybody
anyhow
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aorta
aortic
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apac
apace
apache
apaches
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apalachicola
apalachin
apamea
aparecida
aparicio
aparna
apart
apartado
apartheid
apartheid-era
apartment
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apathetic
apathy
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apator
apatosaurus
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apollonia
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apoptosis
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apotheosis
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app
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appalaches
appalachia
appalachian
appalachians
appalled
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apparel
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apparent
apparently
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appellant
appellants
appellate
appellation
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append
appendage
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appendectomy
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appendices
appendicitis
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appendix
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appetite
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appetizer
appetizers
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appier
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applaud
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applebee
appleby
appledore
applegarth
applegate
apples
applescript
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appleson
applet
appletalk
appleton
applets
applewhite
appleyard
appliance
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application
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applied
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apporoved
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armia
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armillary
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armistead
armistice
armitage
armley
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arnold-forster
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arthouse
arthritic
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arthropods
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arthurian
arthurs
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article
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articles
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articulates
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artifact
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artillery
artillerymen
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artisan
artisanal
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best
best-case
best-ever
best-known
best-of-five
best-of-seven
best-of-three
best-performing
best-placed
best-seller
best-selling
bested
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bestial
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bestiary
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bests
bestseller
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bet
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betacam
betaferon
betamax
betances
betancourt
betar
betas
betaseron
bete
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betel
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bethpage
bethune
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beto
beton
betray
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betrothed
bets
betsey
betsy
betta
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bette
bettelheim
bettencourt
bettendorf
better
better-known
better-off
better-than-expected
bettered
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betterment
betters
betterton
betti
bettie
bettina
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bettini
bettino
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bettman
bettors
betts
betty
betula
betweeen
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bevilacqua
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beximco
bexley
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beyond
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beys
bez
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bezeq
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bezirk
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bezpieczenstwa
bf
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bfa
bfb
bfc
bfce
bfd
bfe
bffo
bfg
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bfi
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bfl
bfm
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bfs
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bg
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bgb
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bgm
bgml
bgp
bgsu
bgt
bgz
bh
bh0
bhabha
bhadra
bhagalpur
bhagat
bhagavad
bhagavan
bhagavata
bhagavathy
bhagavatula
bhagirathi
bhagwan
bhai
bhajan
bhajans
bhakta
bhakti
bhaktivedanta
bhandari
bhangra
bhansali
bhar
bharat
bharata
bharatanatyam
bharath
bharathi
bharati
bharatiya
bharatpur
bhargava
bharihoke
bharti
bharu
bharuch
bhasa
bhaskar
bhaskara
bhat
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bhatnagar
bhatt
bhatta
bhattacharya
bhatti
bhau
bhava
bhavabhuti
bhavan
bhavana
bhavani
bhavnagar
bhawan
bhc
bhd
bhec
bhel
bhera
bhf
bhf-bank
bhi
bhide
bhif
bhikkhu
bhilwara
bhim
bhima
bhimjayani
bhindranwale
bhinmal
bhishma
bhiwani
bhoja
bhojpuri
bhola
bhonsle
bhopal
bhosle
bhp
bhrigu
bhs
bhubaneshwar
bhubaneswar
bhuiyan
bhum
bhumi
bhumibol
bhupathi
bhushan
bhutan
bhutanese
bhutto
bhuvan
bhv
bhw
bi
bi-annual
bi-cameral
bi-communal
bi-monthly
bi-national
bi-partisan
bi-state
bi-weekly
bi-zonal
bia
biacore
biafra
biafran
biaggi
biagio
biak
biala
bialik
bialystok
bian
bianca
bianchi
bianco
biannual
biannually
biao
biaro
biarritz
bias
biased
biases
biasing
biat
biathlete
biathlon
bib
biba
bibb
bibby
biber
biberach
bibf
bibi
bibiana
bible
bibles
biblia
biblical
biblically
bibliographer
bibliographic
bibliographical
bibliographies
bibliography
bibliophile
biblioteca
bibliotheca
bibliothek
bibliotheque
bic
bicakcic
bicameral
bicarb
bicarbonate
bicc
bice
bicentenary
bicentennial
biceps
bicester
bichel
bichette
bick
bicker
bickered
bickering
bickerstaff
bickerton
bickford
bickle
bickley
bicknell
bicol
bicolor
bicommunal
bics
bics0
bicsg
bicycle
bicycles
bicycling
bicyclists
bid
bid-offer
bid-only
bid-to-cover
bid-wanted
bidappa
bidar
bidaya
bidded
biddeford
bidder
bidders
bidding
biddish
biddle
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biddy
bide
bideford
biden
bideri
biderman
biding
bidirectional
bids
bidston
bidvest
bidweek
bidwell
bidwill
bie
bieckert
biedenkopf
biedermann
biehl
biel
biela
bielecki
bielefeld
biella
bielsko
bielsko-biala
bien
bienal
bieniek
biennale
biennial
biennially
biennium
bienville
bier
bierce
bierhoff
bieri
bierko
biest
bieszk
bievre
bif
bifa
biff
biffex
biffle
biffy
bifida
bifu
bifurcated
bifurcation
big
big-cap
big-capitalised
big-caps
big-hitting
big-index
big-money
big-name
big-otc
big-screen
big-serving
big-spending
big-ticket
big-time
big0
bigamy
bigby
bigelow
bigfoot
bigg
biggar
bigger
bigger-than-expected
biggest
biggest-ever
biggest-selling
biggie
biggin
biggio
biggles
biggleswade
biggs
bighorn
bight
bigler
bigmar
bigod
bigorre
bigot
bigoted
bigotry
bigsby
bih
bihac
bihar
bihari
biharis
bihor
bihu
bii
bij
bijan
bijapur
bijection
bijective
bijela
bijeljina
bijelo
bijenkorf
bijlee
bijleveld
bijou
biju
bijur
bikaner
bike
biker
bikers
bikes
bikeway
biking
bikini
bikinis
biko
bikol
bikram
bil
bila
bilabial
bilal
bilandzic
bilardo
bilaspur
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bregenz
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brett
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breu
breuer
brevard
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brevet
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brevetted
breviary
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brevity
brevnov
brew
brewed
brewer
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brewery
brewhouse
brewing
brewpole
brewpub
brews
brewster
brewton
breydel
breyer
brezhnev
brezice
bri
brial
brian
briand
brianna
brianza
briar
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briarwood
briatore
bribe
bribe-taking
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bribery
bribes
bribesville
bribing
bric
brice
brick
bricked
brickell
bricker
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bricklin
brickmaker
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bricktown
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bridal
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bridei
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bridge
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bridget
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bridleway
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briefcases
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brien
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brierley
briers
brig
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brig.
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brigadefuhrer
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brigadier
brigadier-general
brigadoon
brigand
brigands
brigantes
brigantine
brigg
briggs
brigham
brighouse
bright
brighten
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brighter
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brightness
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brigid
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brigitte
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brigte
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brill
brilliance
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brim
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brimstone
brin
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brindle
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bring
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bringing
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brink
brinker
brinkerhoff
brinkhorst
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brinkman
brinkmanship
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brinsley
brinsmead
brinson
brinton
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brion
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briquetted
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bris
brisa
brisbane
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brisco
briscoe
brise
brisk
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brisker
brisket
briskly
brisky
brison
brisson
bristle
bristled
bristles
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brit
brita
britain
britannia
britanniae
britannic
britannica
britannicus
britannique
brite
britel
brith
britian
british
british-american
british-based
british-born
british-borneo
british-built
british-led
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british-registered
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britney
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britt
britta
brittain
brittan
brittany
britten
brittle
brittleness
britton
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brk
brl
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bro
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broacha
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broad
broad-based
broadband
broadbased
broadbent
broadcast
broadcasted
broadcaster
broadcasters
broadcasting
broadcasts
broadcom
broadcst
broaddus
broaden
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broadening
broadens
broader
broader-based
broadest
broadhurst
broadleaf
broadley
broadly
broadly-based
broadmeadows
broadmoor
broads
broadsheet
broadsheets
broadside
broadsides
broadstairs
broadstone
broadsword
broadus
broadview
broadvision
broadwater
broadway
broadwood
broca
brocade
broccoli
broch
brochard
brochure
brochures
brock
brockbank
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brockley
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brockport
brockton
brockville
brockway
brod
broda
broder
broderbund
broderick
brodet
brodett
brodeur
brodhead
brodie
brodmann
brodsky
brody
broe
broederbund
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brogan
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broglie
broiled
broiler
broilers
broin
brok
brokaw
broke
brokeback
broken
brokens
broker
broker-dealer
broker-dealers
brokerage
brokerages
brokered
brokerhaz
brokering
brokers
broking
brolin
broly
brom
bromantan
bromberg
brome
bromeliaceae
bromeliad
bromeliads
bromfield
bromide
bromine
bromley
bromo
brompton
bromsgrove
bromwell
bromwich
bron
bronc
bronchi
bronchial
bronchitis
bronckhorst
bronco
broncos
brondby
bronfman
bronislaw
bronner
bronson
bronstein
bronte
brontosaurus
bronwyn
bronx
bronxville
bronze
bronzes
bronzewing
brooch
brooches
brood
brooded
brooding
broodmare
broods
brook
brookdale
brooke
brooker
brookes
brookfield
brookhaven
brooking
brookings
brookland
brooklands
brooklin
brookline
brooklyn
brooks
brookshire
brookside
brooksley
brooksville
brooktrout
brookvale
brookville
brookwood
broom
broomball
broome
broomfield
brooms
broomstick
broomsticks
broonzy
brophy
brorsen
bros
bros.
brosnan
brossard
broth
brothel
brothels
brother
brother-in-law
brotherhood
brotherhoods
brotherly
brothers
brotherton
brotzmann
brough
brougham
brought
broughton
broun
broussard
brouwer
brow
broward
browary
browder
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brower
brown
brown-forman
brownback
browne
brownell
browner
brownfield
brownfields
brownhills
brownian
brownie
brownies
browning
browning-ferris
brownish
brownlee
brownlow
browns
brownsea
brownson
brownstone
brownsville
brownwood
brows
browse
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browser
browsers
browsing
broxbourne
broxburn
broyles
broz
brp
brt
brtn
bru
brubaker
brubeck
bruce
brucellosis
bruch
bruchsal
bruck
brucke
brucker
bruckheimer
bruckner
brudenell
bruder
bruegger
brueghel
bruenor
bruford
bruges
brugge
bruggink
bruggisser
bruguera
bruguiere
bruhl
bruijn
bruin
bruins
bruise
bruised
bruiser
bruises
bruising
brule
brumaire
brumbies
brumby
brumer
brumley
brumm
brun
brunch
brundage
brundle
brundtland
brune
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bruneel
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brunell
brunelleschi
bruner
brunet
brunette
brunhilda
bruni
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brunn
brunnen
brunner
brunnhilde
bruno
bruns
brunson
brunswick
brunswig
brunt
bruntcliffe
brunton
bruny
brus
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brush
brushed
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brushing
brushless
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brushwood
brushwork
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brusilov
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brussel
brussels
brussels-based
brust
brut
brutal
brutalist
brutality
brutalized
brutally
brute
brutes
bruticus
brutish
bruton
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bruxelles
bruyette
bruyns
bryan
bryansk
bryanston
bryant
bryce
bryden
brydges
brydon
brylane
bryn
bryne
brynner
bryon
bryophytes
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bryson
brythonic
brzesc
brzezinski
bs
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bsa
bsac
bsb
bsc
bsd
bse
bse-free
bse-infected
bsec
bses
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bsg
bsi
bsk
bskyb
bsl
bsm
bsn
bsnl
bso
bsoc
bsp
bspa
bsr
bss
bst
bstn
bsu
bt
bt-mci
bt.
bt0
bta
btan
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btb
btc
btca
btcb
btcc
btd
bte
btec
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btg
bth
bti
btl
btm
btn
btnz
bto
bton
btp
btps
btr
btr0
btrieve
bts
btu
btv
btwn
bu
bu-y
bua
buana
buarque
bub
buba
bubanza
bubb
bubba
bubble
bubbled
bubblegum
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bubbling
bubbly
buber
bubills
bubis
bubka
buble
bubo
bubonic
bubor
buc
bucak
bucanek
bucaram
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bucca
buccal
buccaneer
buccaneers
buccleuch
bucer
buch
buchacz
buchalter
buchan
buchanan
bucharest
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bucher
buchholz
buchizya
buchman
buchner
buchwald
buck
buckaroo
buckaroos
bucked
buckee
bucket
buckethead
buckets
buckeye
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buckhannon
buckhead
buckhorn
buckhurst
buckie
bucking
buckingham
buckinghamshire
buckland
buckle
buckled
buckler
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buckley
buckling
buckman
buckmaster
buckminster
bucknell
buckner
bucks
buckshot
buckskin
buckthorn
buckwheat
bucky
bucolic
bucs
bucuresti
bucyrus
bud
bud0
buda
buda-cash
budapest
budapest-based
budd
buddah
budden
buddha
buddhas
buddhism
buddhist
buddhists
buddies
budding
buddy
bude
budejovice
budel
budennovsk
buderus
budg
budge
budged
budgens
budget
budget-cutting
budgetary
budgeted
budgeting
budgets
budgie
budging
budi
budiman
budimex
budisa
budjak
budnick
budo
budokai
budokan
budrys
buds
buducnost
budva
budvar
budweiser
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buell
bueller
buen
buena
buenaventura
buenavista
buendia
bueng
bueno
buenos
buf
bufalino
bufe
bufete
buff
buffa
buffalo
buffaloes
buffaloman
buffalos
buffelsfontein
buffer
buffered
buffering
buffers
buffet
buffeted
buffeting
buffets
buffett
buffon
buffoon
buffs
buffton
buffy
buffyverse
bufo
bufonidae
buford
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bugatti
bugbear
bugera
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bugs
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buhl
buhler
buhner
bui
buick
build
build-operate-transfer
build-out
build-to-order
build-up
build-ups
builder
builders
buildg
building
buildings
builds
buildup
built
built-in
built-up
buisness
buisson
bujold
bujumbura
buk
buka
bukac
bukaka
bukavu
bukha
bukhara
bukhari
bukharin
bukidnon
bukit
bukka
bukovina
bukowski
bul
bula
bulacan
bulaga
bulak
bulatovic
bulawayo
bulb
bulba
bulbank
bulbasaur
bulbous
bulbs
bulbul
bulbuls
buldon
bulent
bulfinch
bulfon
bulgak
bulgakov
bulgar
bulgargas
bulgari
bulgaria
bulgarian
bulgarian-russian
bulgarians
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bulgur
buli
bulic
bulimia
bulk
bulkeley
bulker
bulkers
bulkhead
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bulkier
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bull
bull-run
bull-spread
bulla
bullard
bulldog
bulldogs
bulldozed
bulldozer
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bulle
bulleen
bulleid
bullen
buller
bullet
bullet-proof
bullet-riddled
bulletin
bulletins
bulletproof
bullets
bullfight
bullfighter
bullfighting
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bullfrog
bullhead
bulli
bullied
bullies
bullimore
bullinger
bullion
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bullishly
bullishness
bullitt
bulloch
bullock
bullocks
bullpen
bullpup
bullring
bulls
bullseye
bullshit
bullwinkle
bully
bullying
bulma
bulman
bulmer
bulog
bulow
bulut
bulwark
bulwell
bulwer
bum
bumba
bumble
bumblebee
bumblebees
bumbling
bumi
bumiputera
bumiputra
bump
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bumper
bumpers
bumping
bumps
bumpy
bums
bun
buna
bunbury
bunce
bunch
bunche
bunched
bunches
bunching
buncombe
bund
bundaberg
bundang
bundelkhand
bunder
bundesautobahn
bundesbahn
bundesbank
bundeslaender
bundesland
bundesliga
bundesobligationen
bundespost
bundesrat
bundesstrasse
bundestag
bundeswehr
bundibugyo
bundle
bundled
bundles
bundling
bunds
bundy
bune
bung
bunga
bunga-
bungalow
bungalows
bungay
bunge
bungee
bungie
bungle
bungled
bungling
bungo
bunia
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bunk
bunker
bunkering
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bunkhouse
bunko
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bunnell
bunnie
bunnies
bunning
bunny
bunnymen
bunraku
buns
bunsen
bunshichi
bunsom
bunt
bunter
bunting
buntings
bunton
buntrock
bunts
bunty
bunuel
bunwaree
bunyan
bunyip
bunyoro
bunzl
buono
buoy
buoyancy
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bupa
buprenorphine
bupropion
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buran
burana
burba
burbage
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burberry
burbridge
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burchard
burchell
burchett
burchill
burckhardt
burda
burdekin
burden
burdened
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burdett
burdette
burdick
burdock
burdon
burdwan
bure
bureacracy
bureau
bureaucracies
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bureaucrat
bureaucratic
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bureaus
bureaux
burelli
buren
bures
burford
burg
burgage
burgan
burgas
burgdorf
burgdorfer
burge
burgenland
burgenlandkreis
burgeoning
burger
burgermeister
burgers
burges
burgess
burgesses
burgh
burgher
burghers
burghley
burghs
burgio
burglar
burglaries
burglars
burglary
burgomaster
burgos
burgoyne
burgtheater
burgundian
burgundians
burgundy
burhan
burhanpur
burhanuddin
burhinidae
buri
burial
burials
buried
buries
burillo
burin
buriram
burj
burk
burke
burke''
burkert
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burkett
burkhard
burkhardt
burki
burkina
burkinabe
burks
burl
burlando
burlap
burleigh
burleson
burlesque
burley
burlingame
burlington
burlison
burly
burma
burmah
burman
burmans
burmeister
burmese
burn
burnaby
burne
burned
burned-out
burnell
burner
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burnet
burnett
burnette
burney
burnfield
burnham
burnie
burnin
burning
burnings
burnished
burnitz
burnley
burnout
burns
burnside
burnsville
burnt
burnt-out
buro
burp
burpee
burqa
burr
burr-brown
burra
burrard
burrell
burren
burress
burridge
burris
burrito
burritos
burro
burros
burrough
burroughs
burrow
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burrowing
burrows
burrus
burry
bursa
bursametrica
bursar
bursaries
bursary
bursaspor
bursatil
burscough
burslem
burson-marsteller
burst
burstein
bursting
burston
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burstyn
burswood
burt
burton
burtt
buru
burundi
burundian
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burung
bururi
burwell
burwood
bury
buryan
buryat
burying
burzum
burzynski
bus
busa
busan
busang
busboy
busby
buscema
buscemi
buscetta
busch
buschschulte
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busemann
buser
buses
busey
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bushel
bushell
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bushido
bushings
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bushmaster
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bushwalking
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busineses
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business-friendly
business-oriented
business-related
business-to-business
business.he
businesses
businesslike
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businessweek
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businessworld
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busts
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butadiene
butane
butanol
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butembo
buteo
buthelezi
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butkus
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butlerian
butlers
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butt-head
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butter
buttercup
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butterfat
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butterley
buttermere
buttermilk
butternut
butters
butterscotch
butterworth
buttery
buttes
buttevant
butthead
butthole
butting
buttle
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button
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buttrick
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buttstock
butuan
butyl
butz
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buuren
bux
buxom
buxtehude
buxton
buy
buy-back
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buy-in
buy-out
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buy-sell
buy-side
buy-stop
buy-stops
buyback
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buyeo
buyer
buyers
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buyids
buying
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buyout
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buystops
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buzau
buzurg
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buzzword
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bwf
bwg
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bwv
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bx0
bxiii
by
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bye
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bytecode
bytes
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byung
byung-koog
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byzantine
byzantines
byzantium
bz
bzp
bzw
bzw=
c
c$
c&c
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c&i
c&p
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c(0)0
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c++
c+f
c-and-f
c-band
c-block
c-c
c-cube
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c-phone
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c-t0
c-tec
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c.a
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c.c
c.c.
c.d.
c.e
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c.e.s.c
c.f
c.f.
c.g.
c.h.
c.i.
c.j.
c.k.
c.l.
c.l.p
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c.m
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c.o.
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c.p.
c.r.
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c.s.d
c.s.d.
c.v
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c.y.
c/0
c/c++
c/d
c0
c00
c0a
c0b
c0c
c0i
c0j
c0po
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c=customer
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ca0
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cabaret
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cabbage
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cabbie
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cabela
cabell
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cabernet
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cabiallavetta
cabildo
cabin
cabinda
cabinet
cabinet-level
cabinetmaker
cabinetry
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cable-tel
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cabletel
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cac0
cacao
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cache
cached
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cachet
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cachoeira
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cacic
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cacophony
cactaceae
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cactus
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cad/cam
cadalora
cadastral
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cadbury-schweppes
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caddy
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cadell
cadena
cadenalco
cadence
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cadenza
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cadet
cadete
cadets
cadia
cadillac
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cadiz
cadman
cadmium
cadmus
cadogan
cadore
cadre
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cadswep
cadtic
caduceus
cadus
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cady
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caecilia
caeciliidae
caecilius
caedmon
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caemi
caen
caer
caerleon
caernarfon
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caernarvonshire
caerphilly
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caesar
caesarea
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caesarian
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caesars
caesium
caetano
caf
cafe
cafes
cafeteria
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caffe
caffeine
caffery
caffrey
cafta
cafu
cag
cagalli
cagamas
cagayan
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caged
cages
cagey
cagiva
cagle
cagliari
cagliostro
cagney
caguas
cah
cahaya
cahen
cahiers
cahill
cahir
cahn
cahners
cahokia
cahoots
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cahuenga
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cahya
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caiaphas
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caicos
caid
caidic
cail
caiman
cain
caine
caio
cair
caird
cairn
cairngorms
cairns
cairo
cairo-based
cais
caisse
caisses
caisson
caissons
caistab
cait
caithness
caitlin
caius
caixa
caja
cajal
cajamarca
cajon
cajun
cajuns
cake
cakes
cakewalk
cakobau
cakrawala
cal
cal.
cal.carbide
cala
calabar
calabasas
calabash
calabi
calabrese
calabria
calabrian
calabro
calais
calamari
calamba
calamine
calamities
calamitous
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calamus
caland
calang
calarasi
calarts
calatayud
calatrava
calaveras
calaway
calc
calcareous
calcasieu
calcavecchia
calcification
calcified
calcio
calcite
calcitonin
calcium
calcot
calcuating
calculable
calculate
calculated
calculates
calculating
calculation
calculations
calculator
calculators
calculi
calculus
calcutta
calcutta-based
caldas
caldecott
calder
caldera
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calderdale
calderon
calderone
calderwood
caldicott
caldor
caldwell
cale
calea
caleb
caledon
caledonia
caledonian
caledonians
calendar
calendar--bills
calendar-year
calendars
calender
calenergy
calera
calero
calex
calexico
caley
calf
calgary
calgary-based
calgene
calgon
calhoun
cali
caliban
caliber
calibers
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calibrated
calibrating
calibration
calibre
calibres
calibur
calico
calicut
caliente
calif
calif.
calif.--
calif.-based
califano
california
california-based
california-oregon
californian
californians
californica
californication
californios
caligari
caligula
calin
calinescu
calipari
caliper
calipers
caliph
caliphate
caliphs
calista
calisthenics
calitz
calixto
calixtus
calkins
call
call-back
call-in
call-up
calla
callable
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callahan
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callander
callao
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callaway
callback
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callebaut
called
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callender
callens
caller
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calles
calley
callie
calligrapher
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calligraphic
calligraphy
callimachus
calling
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calliope
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callisto
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callous
callow
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callsign
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callum
callup
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calm
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calmfors
calming
calmly
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calogero
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caloric
calorie
calories
calorimeter
calpers
calpine
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calsonic
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caltech
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caltrain
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calumet
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calvados
calvary
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calverton
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calvin
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calvinism
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calvino
calvo
calvus
calw
calwell
calwyn
calypso
calyx
calzaghe
cam
cam'ron
cama
camacho
camaenidae
camaguey
camanachd
camara
camaraderie
camaras
camargo
camargue
camarilla
camarillo
camarines
camaro
camas
cambaridae
camber
camberley
camberwell
cambias
cambie
cambier
cambio
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cambiste
cambium
cambodge
cambodia
cambodian
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cambre
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cambria
cambrian
cambridge
cambridge-based
cambridgeshire
cambuslang
camby
cambyses
camco
camcorder
camcorders
camden
camdessus
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cameco
camel
camelback
camellia
camellias
camelopardalis
camelot
camels
camembert
camenzind
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cameos
camera
cameraman
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cameras
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camerino
camerlengo
camerlin
cameron
cameron-moore
cameronians
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camet
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camila
camilla
camille
camilleri
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camillus
camilo
caminero
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camino
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camisea
cammarata
cammell
cammy
camo
camoes
camogie
camorra
camouflage
camouflaged
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campagna
campagne
campagnolo
campaign
campaigned
campaigner
campaigners
campaigning
campaigns
campana
campanella
campania
campanian
campanile
campanulaceae
campari
campbell
campbell*
campbell-savona
campbells
campbellton
campbelltown
campbeltown
campden
campeau
campeche
camped
campeonato
camper
camperdown
campers
campese
campestris
campfire
campfires
campground
campgrounds
camphor
campi
campiglio
campina
campinas
camping
campion
campo
campobasso
campobello
camporese
campos
camps
campsie
campsite
campsites
campus
campuses
campy
camra
camrose
camry
cams
camshaft
camshafts
camus
can
can.consumer
can.dollar
can.manuf
can.merch.
can.real
can=canola
cana
canaan
canaanite
canaanites
canada
canada-based
canada-u.s.
canadair
canadas
canadensis
canadian
canadian-based
canadian-born
canadian-led
canadian-made
canadian-owned
canadians
canadien
canadienne
canadiens
canadon
canakkale
canal
canal+
canale
canales
canaletto
canals
canalsatelite
canalsatellite
canam
canamera
canandaigua
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canara
canard
canards
canaria
canarian
canarias
canaries
canaris
canarsie
canary
canas
canasta
canavan
canaveral
canavese
canberra
canberras
canbra
canby
cancel
canceled
canceling
cancellation
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cancelled
cancelling
cancels
cancer
cancer-causing
cancer-stricken
cancerous
cancers
cancion
canciones
cancri
cancun
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candace
candela
candelabra
candelaria
candeloro
candi
candia
candice
candid
candida
candidacies
candidacy
candidate
candidates
candidating
candidature
candide
candidly
candido
candied
candies
candle
candlelight
candlelit
candlemas
candler
candles
candlestick
candlesticks
candlewood
candlr
candomble
candor
candour
candover
candu
candy
candyman
cane
canedo
canegrowers
canelo
canes
canet
canete
caney
canf
canfield
canfor
cangrande
canibus
canids
caniff
canine
canines
caning
canio
canis
canisius
canister
canisters
canizares
canker
canmore
cann
canna
cannabinoid
cannabinoids
cannabis
cannae
cannan
cannavaro
canned
cannell
canneries
cannery
cannes
cannex
cannibal
cannibalism
cannibalistic
cannibalized
cannibals
canning
cannington
cannisters
cannock
cannon
cannonade
cannonball
cannonballs
cannons
cannot
cannula
canny
cano
canoe
canoeing
canoeists
canoer
canoes
canoga
canola
canon
canongate
canonic
canonica
canonical
canonically
canonicity
canonised
canonization
canonized
canonry
canons
canonsburg
canopic
canopies
canopus
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carrot
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cartmel
carto
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cartographic
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carton
cartonboard
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cartoons
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casso
cassock
casson
cassoulides
cassville
cast
cast-----range---
cast-----range---prvs
cast-iron
castagnoli
castaignede
castaneda
castanet
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castano
castaway
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casted
castel
casteleyn
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castelnau
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casters
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castile
castilian
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castillo
casting
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castlebar
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castleknock
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castlereigh
castles
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castletown
castlevania
castling
castmates
castonguay
castor
castorama
castoroil
castorseed
castra
castrated
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castration
castrato
castres
castries
castro
castrol
castrum
casts
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casuarina
casuistry
casule
casus
caswell
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cat-and-mouse
cat0
catabolism
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catalase
catalina
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cataloged
cataloging
catalogs
catalogue
catalogued
catalogues
cataloguing
catalonia
catalonian
cataloochee
catalpa
cataluna
catalunya
catalysed
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catalyst
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catalytic
catalytica
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catalyzed
catalyzes
catalyzing
catamaran
catamarans
catamarca
catan
catanduanes
catania
catanzaro
cataphracts
catapult
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cataract
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catarina
catasauqua
catastrophe
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catastrophic
catastrophically
catatonia
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catecholamines
catechumens
catedral
categorical
categorically
categories
categorisation
categorise
categorised
categorization
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category
category*
catell
catellus
catelyn
catena
catenary
cater
catera
catered
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catfight
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catford
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catherwood
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catheterization
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cathleen
cathode
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cathodic
catholic
catholic-backed
catholicism
catholicos
catholics
catholique
cathro
cathy
catia
catic
catiline
cation
cationic
cations
catkins
catlett
catli
catlin
catlins
catlow
catman
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catoctin
catolica
caton
catonsville
catoosa
catriona
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cats
catshark
catskill
catskills
catt
cattaneo
cattaraugus
cattaro
cattell
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catti
cattle
cattle-fax
cattle-on-feed
cattleman
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cattles
catto
cattolica
catullus
catv
catwalk
catwalks
catwoman
cauca
caucasian
caucasians
caucasoid
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cauchon
cauchy
caucus
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caudal
caudillo
caudron
cauet
caufield
caught
caul
caulder
cauldron
cauldrons
caulfield
cauliflower
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causal
causality
causally
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cause
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caustic
caution
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cautions
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cav
cava
cavaco
cavagnoud
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cavell
caveman
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cavendish
cavern
caverni
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caversham
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cavett
caviar
cavill
caving
cavitation
cavite
cavities
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cavorting
cavour
cavs
caw
cawdor
cawley
cawnpore
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caxias
caxton
cay
cayabyab
cayce
caye
cayenne
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cayey
cayley
cayman
caymans
cayo
cayol
cays
cayuga
cayuse
caz
cazares
cazenove
cazenovia
cb
cb0
cba
cbank
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cbbc
cbc
cbci
cbd
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cbgb
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cble
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cbot
cbp
cbpo
cbq
cbr
cbrs
cbs
cbse
cbt
cc
cc0
cc;nsa
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cca
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ccas
ccb
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ccc
ccc-
ccd
ccds
cce
ccf
ccfa
ccfi
ccg
ccgs
cch
ccha
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cci
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ccl0
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ccma
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ccny
cco
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ccr
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ccs
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cctv
ccu
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cd
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cd-quality
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cd-roms
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cd0
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cda
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cde
cdf
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cdl
cdlr
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ceasefires
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ceballos
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celadon
celan
celanese
celastraceae
celaya
celbridge
celcom
celebes
celebi
celeborn
celebrant
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celebrates
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celebration
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celebre
celebrezze
celebrities
celebrity
celera
celeron
celery
celes
celesc
celesta
celeste
celestia
celestial
celestials
celestica
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celgene
celia
celiac
celibacy
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celic
celica
celie
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cellars
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cellegy
cellex
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cellist
cellists
cellmate
cellnet
cello
cellophane
cellos
cellphone
cellphones
cellpro
cells
cellstar
celltech
cellucci
cellular
cellularvision
celluloid
cellulose
cellulosic
celo
cels
celsis
celsius
celso
celsus
celt
celta
celtiberian
celtic
celtics
celts
celulosa
celulose
celuloza
celyn
cem
cemaes
cement
cement-maker
cemented
cementing
cemento
cementos
cements
cemeteries
cemetery
cemex
cemig
cemil
cempella
cen
cen.bank
cena
cenbank
cendant
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cenelec
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cengic
cenit
cenobites
cenotaph
cenozoic
censor
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censors
censorship
censure
censured
censures
censuring
census
censuses
cent
cent.
centak
cental
centaur
centauri
centaurs
centaurus
centavo
centavos
centcom
centenarian
centenario
centenary
centennial
centennials
centeon
center
center-left
center-south
centercut
centered
centerfire
centerfold
centering
centerior
centerline
centermark
centerpiece
centerpoint
centers
centertel
centerville
centex
centigrade
centigram
centilibres
centime
centimes
centimeter
centimeters
centimetre
centimetres
centipede
centipedes
centistoke
cento
centocor
centra
centraal
centrais
central
central-chernozem
central-south
centrale
centralia
centralisation
centralise
centralised
centralising
centralism
centralist
centrality
centralization
centralize
centralized
centralizing
centrally
centralpower
centre
centre-back
centre-field
centre-forward
centre-left
centre-right
centre-south
centre-stage
centred
centreinvest
centreline
centreman
centrepiece
centrepoint
centres
centreville
centric
centrica
centrifugal
centrifugation
centrifuge
centrifuges
centring
centripetal
centrist
centrists
centro
centroid
centrolenidae
centromere
centromin
centronics
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chicago-area
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churu
churubusco
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classifieds
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Download .txt
gitextract_sqikvug5/

├── README.md
├── checkpoints/
│   └── .gitkeeper
├── config.py
├── dataset/
│   ├── SemEval/
│   │   ├── relation2id.txt
│   │   ├── senna_words.lst
│   │   ├── test/
│   │   │   ├── npy/
│   │   │   │   └── .gitkeeper
│   │   │   └── test.txt
│   │   ├── test.txt
│   │   ├── test_keys.txt
│   │   ├── train/
│   │   │   ├── npy/
│   │   │   │   └── .gitkeeper
│   │   │   └── train.txt
│   │   ├── train.txt
│   │   ├── vector_50.txt
│   │   ├── vocab.txt
│   │   └── w2v_50.npy
│   ├── __init__.py
│   └── semeval.py
├── main_sem.py
├── models/
│   ├── BasicModule.py
│   ├── PCNN.py
│   └── __init__.py
└── semeval/
    ├── .ipynb_checkpoints/
    │   └── res-checkpoint.txt
    ├── convert_to_rel.py
    ├── sem_res.txt
    ├── semeval2010_task8_format_checker.pl
    ├── semeval2010_task8_scorer-v1.2.pl
    ├── test.sh
    └── test_keys.txt
Download .txt
SYMBOL INDEX (31 symbols across 5 files)

FILE: config.py
  class DefaultConfig (line 14) | class DefaultConfig(object):
  function parse (line 62) | def parse(self, kwargs):

FILE: dataset/semeval.py
  class SEMData (line 9) | class SEMData(Dataset):
    method __init__ (line 11) | def __init__(self, root_path, train=True):
    method __getitem__ (line 27) | def __getitem__(self, idx):
    method __len__ (line 31) | def __len__(self):
  class SEMLoad (line 35) | class SEMLoad(object):
    method __init__ (line 39) | def __init__(self, root_path, train=True, max_len=98, limit=50):
    method save (line 70) | def save(self):
    method load_rel (line 83) | def load_rel(self):
    method load_w2v (line 93) | def load_w2v(self):
    method parse_sen (line 122) | def parse_sen(self, path):
    method get_lexical_feature (line 146) | def get_lexical_feature(self, sens):
    method get_sentence_feature (line 166) | def get_sentence_feature(self, sens):
    method get_left_word (line 200) | def get_left_word(self, pos, sen):
    method get_right_word (line 211) | def get_right_word(self, pos, sen):
    method get_pos_feature (line 222) | def get_pos_feature(self, x):

FILE: main_sem.py
  function now (line 17) | def now():
  function test (line 21) | def test(**kwargs):
  function train (line 25) | def train(**kwargs):
  function eval (line 84) | def eval(model, test_data_loader, k):
  function write_result (line 112) | def write_result(model_name, pred_y):

FILE: models/BasicModule.py
  class BasicModule (line 7) | class BasicModule(torch.nn.Module):
    method __init__ (line 12) | def __init__(self):
    method load (line 16) | def load(self, path):
    method save (line 22) | def save(self, name=None):

FILE: models/PCNN.py
  class PCNN (line 10) | class PCNN(BasicModule):
    method __init__ (line 16) | def __init__(self, opt):
    method init_model_weight (line 42) | def init_model_weight(self):
    method init_word_emb (line 54) | def init_word_emb(self):
    method forward (line 66) | def forward(self, x):
Condensed preview — 28 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (4,534K chars).
[
  {
    "path": "README.md",
    "chars": 832,
    "preview": "2018.10.16更新:\n\n- master分支: Python 3.5x & Pytorch 0.4+\n- dev 分支: Python 2.7x & Pytorch 0.3\n\n## Introduction\n基于Pytorch复现PC"
  },
  {
    "path": "checkpoints/.gitkeeper",
    "chars": 0,
    "preview": ""
  },
  {
    "path": "config.py",
    "chars": 2435,
    "preview": "# -*- coding: utf-8 -*-\n\ndata_dic ={\n    'SEM': {\n        'data_root': './dataset/SemEval/',\n        'w2v_path': './data"
  },
  {
    "path": "dataset/SemEval/relation2id.txt",
    "chars": 473,
    "preview": "0 Cause-Effect(e1,e2)\n1 Cause-Effect(e2,e1)\n2 Component-Whole(e1,e2)\n3 Component-Whole(e2,e1)\n4 Content-Container(e1,e2)"
  },
  {
    "path": "dataset/SemEval/senna_words.lst",
    "chars": 1101872,
    "preview": "!\n!_____!____________!_____!_____!_______!_____!_______!______\n\"\n#\n####\n#0\n#0&btr\n#aaa\n#n\n#value\n$\n%\n&\n&money\n'\n''\n'''\n'"
  },
  {
    "path": "dataset/SemEval/test/npy/.gitkeeper",
    "chars": 0,
    "preview": ""
  },
  {
    "path": "dataset/SemEval/test/test.txt",
    "chars": 382236,
    "preview": "e1\te2\taudits\twaste\tMessage-Topic\tthe most common audits were about waste and recycling\ne1\te2\tcompany\tchairs\tProduct-Prod"
  },
  {
    "path": "dataset/SemEval/test.txt",
    "chars": 309168,
    "preview": "14 3 3 6 6 the most common audits were about waste and recycling\n17 1 1 4 4 the company fabricates plastic chairs\n11 2 2"
  },
  {
    "path": "dataset/SemEval/test_keys.txt",
    "chars": 69323,
    "preview": "8001\tMessage-Topic(e1,e2)\n8002\tProduct-Producer(e2,e1)\n8003\tInstrument-Agency(e2,e1)\n8004\tEntity-Destination(e1,e2)\n8005"
  },
  {
    "path": "dataset/SemEval/train/npy/.gitkeeper",
    "chars": 0,
    "preview": ""
  },
  {
    "path": "dataset/SemEval/train/train.txt",
    "chars": 1132602,
    "preview": "e1\te2\tconfiguration\telements\tComponent-Whole_reversed\tthe system as described above has its greatest application in an a"
  },
  {
    "path": "dataset/SemEval/train.txt",
    "chars": 913740,
    "preview": "3 12 12 15 15 the system as described above has its greatest application in an arrayed configuration of antenna elements"
  },
  {
    "path": "dataset/SemEval/vocab.txt",
    "chars": 185611,
    "preview": "!\n'\n(\n)\n,\n0\n00\n000\n0025\n005\n01\n05\n065\n07\n08\n1\n10\n100\n1000\n10000\n100000\n10300\n105\n106\n1063\n1099\n10cm\n10m\n10x10\n11\n110\n110"
  },
  {
    "path": "dataset/__init__.py",
    "chars": 54,
    "preview": "# -*- coding: utf-8 -*-\n\nfrom .semeval import SEMData\n"
  },
  {
    "path": "dataset/semeval.py",
    "chars": 7798,
    "preview": "# -*- coding: utf-8 -*-\n\nfrom torch.utils.data import Dataset\nimport os\nimport numpy as np\nimport string\n\n\nclass SEMData"
  },
  {
    "path": "main_sem.py",
    "chars": 3743,
    "preview": "# -*- coding: utf-8 -*-\n\nfrom config import opt\nimport models\nimport dataset\nimport torch\nimport torch.nn as nn\nimport t"
  },
  {
    "path": "models/BasicModule.py",
    "chars": 781,
    "preview": "# -*- coding: utf-8 -*-\n\nimport torch\nimport time\n\n\nclass BasicModule(torch.nn.Module):\n    '''\n    封装了nn.Module,主要是提供了s"
  },
  {
    "path": "models/PCNN.py",
    "chars": 3579,
    "preview": "# -*- coding: utf-8 -*-\n\nfrom .BasicModule import BasicModule\nimport numpy as np\nimport torch\nimport torch.nn as nn\nimpo"
  },
  {
    "path": "models/__init__.py",
    "chars": 48,
    "preview": "# -*- coding: utf-8 -*-\n\nfrom .PCNN import PCNN\n"
  },
  {
    "path": "semeval/.ipynb_checkpoints/res-checkpoint.txt",
    "chars": 10683,
    "preview": "<<< (2*9+1)-WAY EVALUATION (USING DIRECTIONALITY)>>>:\n\nConfusion matrix:\n        C-E1 C-E2 C-W1 C-W2 C-C1 C-C2 E-D1 E-D2"
  },
  {
    "path": "semeval/convert_to_rel.py",
    "chars": 373,
    "preview": "# -*- coding: utf-8 -*-\n\nid2rel = {}\nrel = open('../dataset/SemEval/relation2id.txt')\nfor line in rel:\n    line = line.s"
  },
  {
    "path": "semeval/sem_res.txt",
    "chars": 72183,
    "preview": "8001\tMessage-Topic(e1,e2)\n8002\tProduct-Producer(e2,e1)\n8003\tInstrument-Agency(e2,e1)\n8004\tEntity-Destination(e1,e2)\n8005"
  },
  {
    "path": "semeval/semeval2010_task8_format_checker.pl",
    "chars": 3479,
    "preview": "#!/usr/bin/perl -w\n#\n#\n#  Author: Preslav Nakov\n#          nakov@comp.nus.edu.sg\n#          National University of Singa"
  },
  {
    "path": "semeval/semeval2010_task8_scorer-v1.2.pl",
    "chars": 15848,
    "preview": "#!/usr/bin/perl -w\n#\n#\n#  Author: Preslav Nakov\n#          nakov@comp.nus.edu.sg\n#          National University of Singa"
  },
  {
    "path": "semeval/test.sh",
    "chars": 144,
    "preview": "#!/bin/bash\n\npython convert_to_rel.py\n./semeval2010_task8_scorer-v1.2.pl sem_res.txt test_keys.txt > res.txt\necho \"the r"
  },
  {
    "path": "semeval/test_keys.txt",
    "chars": 69323,
    "preview": "8001\tMessage-Topic(e1,e2)\n8002\tProduct-Producer(e2,e1)\n8003\tInstrument-Agency(e2,e1)\n8004\tEntity-Destination(e1,e2)\n8005"
  }
]

// ... and 2 more files (download for full content)

About this extraction

This page contains the full source code of the ShomyLiu/pytorch-pcnn GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 28 files (20.6 MB), approximately 1.1M tokens, and a symbol index with 31 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.

Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.

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