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Python和NLTK实现自然语言处理
book

Python和NLTK实现自然语言处理

by Posts & Telecom Press, Nitin Hardeniya
February 2024
Intermediate to advanced
649 pages
9h 58m
Chinese
Packt Publishing
Content preview from Python和NLTK实现自然语言处理

附录A 宾州treebank词性标签

以下是使用NLTK分类在treebank语料库中出现的所有词性标签表。可以使用下面的代码获得下表。

>>> from nltk.probability import FreqDist
>>> from nltk.corpus import treebank
>>> fd = FreqDist()
>>> for word, tag in treebank.tagged_words():
...   fd[tag] += 1
>>> fd.items()

FreqDist fd包含了在treebank语料库中对于每个标签在此处显示的所有计数。可以通过使用fd[tag],单独检查每个标签数,例如,fd['DT']。这里也显示了一些标点符号标签,以及一些特殊的标签(如-NONE-),-NONE-意味着词性标签是未知的。在upenn网站中,可以找到大部分标签的描述。

词性标签

出现频次

#

16

$

724

''

694

,

4886

-LRB-

120

-NONE-

6592

-RRB-

126

.

384

:

563

''

712

CC

2265

CD

3546

DT

8165

EX

88

FW

4

IN

9857

JJ

5834

JJR

381

JJS

182

LS

13

MD

927

NN

13166

NNP

9410

NNPS

244

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Publisher Resources

ISBN: 9781835083451