NLTK的所有可能的pos标签是什么?

时间:2013-03-13 14:59:09

标签: python nltk

如何找到包含Natural Language Toolkit(nltk)使用的所有可能pos标签的列表?

9 个答案:

答案 0 :(得分:135)

The book注明了如何在标记集上找到帮助,例如:

nltk.help.upenn_tagset()

其他人可能很相似。 (注意:也许您首先必须从下载帮助程序的模型部分下载tagsets

答案 1 :(得分:106)

为了节省一些人的时间,这里是我从一个小语料库中提取的列表。我不知道它是否完整,但它应该包含来自upenn_tagset的大多数(如果不是全部)帮助定义......

CC :合作,协调

& 'n and both but either et for less minus neither nor or plus so
therefore times v. versus vs. whether yet

CD :数字,基数

mid-1890 nine-thirty forty-two one-tenth ten million 0.5 one forty-
seven 1987 twenty '79 zero two 78-degrees eighty-four IX '60s .025
fifteen 271,124 dozen quintillion DM2,000 ...

DT :判断器

all an another any both del each either every half la many much nary
neither no some such that the them these this those

EX :存在于那里

there

IN :介词或连词,从属

astride among uppon whether out inside pro despite on by throughout
below within for towards near behind atop around if like until below
next into if beside ...

JJ :形容词或数字,序数

third ill-mannered pre-war regrettable oiled calamitous first separable
ectoplasmic battery-powered participatory fourth still-to-be-named
multilingual multi-disciplinary ...

JJR :形容词,比较

bleaker braver breezier briefer brighter brisker broader bumper busier
calmer cheaper choosier cleaner clearer closer colder commoner costlier
cozier creamier crunchier cuter ...

JJS :形容词,最高级

calmest cheapest choicest classiest cleanest clearest closest commonest
corniest costliest crassest creepiest crudest cutest darkest deadliest
dearest deepest densest dinkiest ...

LS :列出项目标记

A A. B B. C C. D E F First G H I J K One SP-44001 SP-44002 SP-44005
SP-44007 Second Third Three Two * a b c d first five four one six three
two

MD :模态助手

can cannot could couldn't dare may might must need ought shall should
shouldn't will would

NN :名词,普通,单数或质量

common-carrier cabbage knuckle-duster Casino afghan shed thermostat
investment slide humour falloff slick wind hyena override subhumanity
machinist ...

NNP :名词,正确,单数

Motown Venneboerger Czestochwa Ranzer Conchita Trumplane Christos
Oceanside Escobar Kreisler Sawyer Cougar Yvette Ervin ODI Darryl CTCA
Shannon A.K.C. Meltex Liverpool ...

NNS :名词,普通,复数

undergraduates scotches bric-a-brac products bodyguards facets coasts
divestitures storehouses designs clubs fragrances averages
subjectivists apprehensions muses factory-jobs ...

PDT :预先确定者

all both half many quite such sure this

POS :属性标记

' 's

PRP :代词,个人

hers herself him himself hisself it itself me myself one oneself ours
ourselves ownself self she thee theirs them themselves they thou thy us

PRP $:代词,占有欲

her his mine my our ours their thy your

RB :副词

occasionally unabatingly maddeningly adventurously professedly
stirringly prominently technologically magisterially predominately
swiftly fiscally pitilessly ...

RBR :副词,比较

further gloomier grander graver greater grimmer harder harsher
healthier heavier higher however larger later leaner lengthier less-
perfectly lesser lonelier longer louder lower more ...

RBS :副词,最高级

best biggest bluntest earliest farthest first furthest hardest
heartiest highest largest least less most nearest second tightest worst

RP :粒子

aboard about across along apart around aside at away back before behind
by crop down ever fast for forth from go high i.e. in into just later
low more off on open out over per pie raising start teeth that through
under unto up up-pp upon whole with you

TO :" to"作为介词或不定式标记

to

UH :感叹词

Goodbye Goody Gosh Wow Jeepers Jee-sus Hubba Hey Kee-reist Oops amen
huh howdy uh dammit whammo shucks heck anyways whodunnit honey golly
man baby diddle hush sonuvabitch ...

VB :动词,基本形式

ask assemble assess assign assume atone attention avoid bake balkanize
bank begin behold believe bend benefit bevel beware bless boil bomb
boost brace break bring broil brush build ...

VBD :动词,过去时

dipped pleaded swiped regummed soaked tidied convened halted registered
cushioned exacted snubbed strode aimed adopted belied figgered
speculated wore appreciated contemplated ...

VBG :动词,现在分词或动名词

telegraphing stirring focusing angering judging stalling lactating
hankerin' alleging veering capping approaching traveling besieging
encrypting interrupting erasing wincing ...

VBN :动词,过去分词

multihulled dilapidated aerosolized chaired languished panelized used
experimented flourished imitated reunifed factored condensed sheared
unsettled primed dubbed desired ...

VBP :动词,现在时态,而不是第三人称单数

predominate wrap resort sue twist spill cure lengthen brush terminate
appear tend stray glisten obtain comprise detest tease attract
emphasize mold postpone sever return wag ...

VBZ :动词,现在时,第三人称单数

bases reconstructs marks mixes displeases seals carps weaves snatches
slumps stretches authorizes smolders pictures emerges stockpiles
seduces fizzes uses bolsters slaps speaks pleads ...

WDT :WH-determininer

that what whatever which whichever

WP :WH-pronoun

that what whatever whatsoever which who whom whosoever

WRB :Wh-adverb

how however whence whenever where whereby whereever wherein whereof why

答案 2 :(得分:57)

标签集取决于用于训练标记器的语料库。 nltk.pos_tag()的默认标记使用Penn Treebank Tag Set

在NLTK 2中,您可以按如下方式检查哪个标记器是默认标记器:

import nltk
nltk.tag._POS_TAGGER
>>> 'taggers/maxent_treebank_pos_tagger/english.pickle'

这意味着它是在Treebank语料库上训练的最大熵标记器。

nltk.tag._POS_TAGGER在NLTK 3中不再存在,但the documentation states表示现成的标记符仍然使用Penn Treebank标记集。

答案 3 :(得分:29)

以下内容可用于访问由缩写键入的字典:

>>> from nltk.data import load
>>> tagdict = load('help/tagsets/upenn_tagset.pickle')
>>> tagdict['NN'][0]
'noun, common, singular or mass'
>>> tagdict.keys()
['PRP$', 'VBG', 'VBD', '``', 'VBN', ',', "''", 'VBP', 'WDT', ...

答案 4 :(得分:22)

该参考资料可在the official site

获取

从那里复制并粘贴:

  • CC |协调联合|
  • CD |红衣主教号码|
  • DT |确定者|
  • EX |存在那里 |
  • FW |外国字|
  • IN |介词或从属连词|
  • JJ |形容词|
  • JJR |形容词,比较|
  • JJS |形容词,最高级的|
  • LS |列出项目标记|
  • MD |莫代尔|
  • NN |名词,单数或质量|
  • NNS |名词,复数|
  • NNP |专有名词,单数|
  • NNPS |专有名词,复数|
  • PDT |预审者|
  • POS |占有结束|
  • PRP |人称代词|
  • PRP $ |占有代词|
  • RB |副词|
  • RBR |副词,比较|
  • RBS |副词,最高级|
  • RP |粒子|
  • SYM |符号|
  • TO | |
  • UH |感叹词|
  • VB |动词,基本形式|
  • VBD |动词,过去时|
  • VBG |动词,动名词或现在分词|
  • VBN |动词,过去分词|
  • VBP |动词,非第三人称单数礼物|
  • VBZ |动词,第3人单数礼物|
  • WDT | Wh-determininer |
  • WP | Wh-pronoun |
  • WP $ |拥有wh-pronoun |
  • WRB | Wh-adverb |

答案 5 :(得分:1)

GetText(formData: FormData): Observable<ImageResult> {
    return this.httpClient.post(this.getServiceUrl('TextCapture'), formData)
    .pipe(map(ImageResult.adapt));
  }

基于道格·肖尔(Doug Shore)的方法,但使其对复制粘贴更加友好

答案 6 :(得分:0)

您可以在此处下载列表:ftp://ftp.cis.upenn.edu/pub/treebank/doc/tagguide.ps.gz。它包括令人困惑的词性,大写和其他惯例。此外,wikipedia有一个类似于此的有趣部分。部分:使用词性标签。

答案 7 :(得分:0)

只需逐字记录即可。

import nltk
nltk.download('tagsets')
nltk.help.upenn_tagset()

nltk.tag._POS_TAGGER不起作用。它将给出 AttributeError:模块'nltk.tag'没有属性'_POS_TAGGER'。 NLTK 3中不再提供该功能。

答案 8 :(得分:0)

在python中运行以下代码以获取有关所有pos标签的信息。

import nltk
nltk.help.upenn_tagset()
相关问题