如何从Brown语料库访问原始文档?

时间:2017-11-15 06:55:03

标签: python nlp nltk corpus tagged-corpus

对于所有其他NLTK语料库,调用corpus.raw()会从文件中生成原始文本。 例如:

>>> from nltk.corpus import webtext
>>> webtext.raw()[:10]
'Cookie Man'

但是,在致电brown.raw()时,您会收到标记文字。

>>> from nltk.corpus import brown
>>> brown.raw()[:10]
'\n\n\tThe/at '

我已经阅读了所有可以找到的文档,但似乎无法找到明显的解释或方法来获取未标记的版本。有没有理由对这个语料库进行标记而其他语料库不被标记?

2 个答案:

答案 0 :(得分:3)

TL; DR

import nltk
nltk.download('brown')
nltk.download('nonbreaking_prefixes')
nltk.download('perluniprops')

from nltk.corpus import brown
from nltk.tokenize.moses import MosesDetokenizer

mdetok = MosesDetokenizer()

brown_natural = [mdetok.detokenize(' '.join(sent).replace('``', '"').replace("''", '"').replace('`', "'").split(), return_str=True)  for sent in brown.sents()]

for sent in brown_natural:
    print(sent)

在长

这是因为布朗语料库的“原始”版本被标记化并被标记,即语料库标记为语料库的原始形式=)

您可以查看nltk_data目录中的各个文件:

$ head -n10 nltk_data/corpora/brown/ca01


    The/at Fulton/np-tl County/nn-tl Grand/jj-tl Jury/nn-tl said/vbd Friday/nr an/at investigation/nn of/in Atlanta's/np$ recent/jj primary/nn election/nn produced/vbd ``/`` no/at evidence/nn ''/'' that/cs any/dti irregularities/nns took/vbd place/nn ./.


    The/at jury/nn further/rbr said/vbd in/in term-end/nn presentments/nns that/cs the/at City/nn-tl Executive/jj-tl Committee/nn-tl ,/, which/wdt had/hvd over-all/jj charge/nn of/in the/at election/nn ,/, ``/`` deserves/vbz the/at praise/nn and/cc thanks/nns of/in the/at City/nn-tl of/in-tl Atlanta/np-tl ''/'' for/in the/at manner/nn in/in which/wdt the/at election/nn was/bedz conducted/vbn ./.


    The/at September-October/np term/nn jury/nn had/hvd been/ben charged/vbn by/in Fulton/np-tl Superior/jj-tl Court/nn-tl Judge/nn-tl Durwood/np Pye/np to/to investigate/vb reports/nns of/in possible/jj ``/`` irregularities/nns ''/'' in/in the/at hard-fought/jj primary/nn which/wdt was/bedz won/vbn by/in Mayor-nominate/nn-tl Ivan/np Allen/np Jr./np ./.

如果您想要语料库中的字词,可以使用brown.words(),例如

>>> from nltk.corpus import brown

>>> brown.words()
[u'The', u'Fulton', u'County', u'Grand', u'Jury', ...]

>>> ' '.join(brown.words()[:30])
u"The Fulton County Grand Jury said Friday an investigation of Atlanta's recent primary election produced `` no evidence '' that any irregularities took place . The jury further said in"

如果您想从特定文件中获取文字:

>>> brown.fileids()[:10] # The first 10 fileids from brown.
[u'ca01', u'ca02', u'ca03', u'ca04', u'ca05', u'ca06', u'ca07', u'ca08', u'ca09', u'ca10']

>>> ' '.join(brown.words('ca01')[:30]) # First 30 words from the 'ca01' file.
u"The Fulton County Grand Jury said Friday an investigation of Atlanta's recent primary election produced `` no evidence '' that any irregularities took place . The jury further said in"

来自特定档案的句子:

>>> brown.sents('ca01')
[[u'The', u'Fulton', u'County', u'Grand', u'Jury', u'said', u'Friday', u'an', u'investigation', u'of', u"Atlanta's", u'recent', u'primary', u'election', u'produced', u'``', u'no', u'evidence', u"''", u'that', u'any', u'irregularities', u'took', u'place', u'.'], [u'The', u'jury', u'further', u'said', u'in', u'term-end', u'presentments', u'that', u'the', u'City', u'Executive', u'Committee', u',', u'which', u'had', u'over-all', u'charge', u'of', u'the', u'election', u',', u'``', u'deserves', u'the', u'praise', u'and', u'thanks', u'of', u'the', u'City', u'of', u'Atlanta', u"''", u'for', u'the', u'manner', u'in', u'which', u'the', u'election', u'was', u'conducted', u'.'], ...]

打印出单个句子:

>>> for sent in brown.sents('ca01')[:5]: # First 5 sentences.
...     print(' '.join(sent))
... 
The Fulton County Grand Jury said Friday an investigation of Atlanta's recent primary election produced `` no evidence '' that any irregularities took place .
The jury further said in term-end presentments that the City Executive Committee , which had over-all charge of the election , `` deserves the praise and thanks of the City of Atlanta '' for the manner in which the election was conducted .
The September-October term jury had been charged by Fulton Superior Court Judge Durwood Pye to investigate reports of possible `` irregularities '' in the hard-fought primary which was won by Mayor-nominate Ivan Allen Jr. .
`` Only a relative handful of such reports was received '' , the jury said , `` considering the widespread interest in the election , the number of voters and the size of this city '' .
The jury said it did find that many of Georgia's registration and election laws `` are outmoded or inadequate and often ambiguous '' .

试图使标记化的语料库松散而非常混乱,可能会或可能不会起作用,但您可以尝试MosesDetokenizer

首先下载MosesDetokenizer所需的数据:

>>> import nltk
>>> nltk.download('perluniprops')
[nltk_data] Downloading package perluniprops to
[nltk_data]     /home/ltan/nltk_data...
[nltk_data]   Unzipping misc/perluniprops.zip.
True
>>> nltk.download('nonbreaking_prefixes')
[nltk_data] Downloading package nonbreaking_prefixes to
[nltk_data]     /home/ltan/nltk_data...
[nltk_data]   Package nonbreaking_prefixes is already up-to-date!
True

然后初始化MosesDetokenizer

>>> from nltk.tokenize.moses import MosesDetokenizer
>>> mdetok = MosesDetokenizer()

并使用MosesDetokenizer.detokenize()

>>> for sent in brown.sents('ca01')[:5]: # First 5 sentences.
...     # Join the words in sentences and convert the `` -> "
...     # also convert '' -> " and ` -> '
...     munged_sentence = ' '.join(sent).replace('``', '"').replace("''", '"').replace('`', "'")
...     print(mdetok.detokenize(munged_sentence.split(), return_str=True)) # MosesDetokenizer expects a list of strings as input.
... 
The Fulton County Grand Jury said Friday an investigation of Atlanta's recent primary election produced "no evidence" that any irregularities took place.
The jury further said in term-end presentments that the City Executive Committee, which had over-all charge of the election, "deserves the praise and thanks of the City of Atlanta" for the manner in which the election was conducted.
The September-October term jury had been charged by Fulton Superior Court Judge Durwood Pye to investigate reports of possible "irregularities" in the hard-fought primary which was won by Mayor-nominate Ivan Allen Jr..
"Only a relative handful of such reports was received", the jury said, "considering the widespread interest in the election, the number of voters and the size of this city".
The jury said it did find that many of Georgia's registration and election laws "are outmoded or inadequate and often ambiguous".

brown中的每个句子转换为自然阅读文本:

from nltk.tokenize.moses import MosesDetokenizer
mdetok = MosesDetokenizer()
brown_natural = [mdetok.detokenize(' '.join(sent).replace('``', '"').replace("''", '"').replace('`', "'").split(), return_str=True)  for sent in brown.sents()]

[OUT]:

>>> for sent in brown_natural:
...     print(sent)
...     break
... 
The Fulton County Grand Jury said Friday an investigation of Atlanta's recent primary election produced "no evidence" that any irregularities took place.

答案 1 :(得分:1)

标记文本原始文档,即布朗语料库文件的实际内容。 raw()方法可以准确显示文件中存储的内容;它只会为“纯文本”语料库提供清晰的文本,而不是为您所假设的“所有其他语料库”。例如,尝试nltk.corpus.treebank.raw('wsj_0001.mrg')nltk.corpus.conll2000.raw("train.txt"),您将分别看到树和“IOB格式”文本。

现在,如果您的目标是重新构建可读文本,那么加入空格对我来说通常就足够了:

for sent in brown.sents():
    print(" ".join(sent))

你会得到这样的输出:

`` Only a relative handful of such reports was received '' , the jury said , `` considering
the widespread interest in the election , the number of voters and the size of this 
city '' .

如果您不喜欢它的外观,请参阅alvas的答案,以进行更具野心的重建。