📅 最后修改于: 2020-11-06 06:19:16 🧑 作者: Mango
Corpora是一个小组，提出了多个文本文档集合。单个集合称为语料库。这样的著名语料库就是古腾堡语料库，其中包含约25,000本免费电子书，托管在http://www.gutenberg.org/。在下面的示例中，我们仅访问语料库中那些纯文本(文件名以.txt结尾)的文件的名称。
from nltk.corpus import gutenberg
fields = gutenberg.fileids()
print(fields)
当我们运行上面的程序时，我们得到以下输出-
[austen-emma.txt', austen-persuasion.txt', austen-sense.txt', bible-kjv.txt',
blake-poems.txt', bryant-stories.txt', burgess-busterbrown.txt',
carroll-alice.txt', chesterton-ball.txt', chesterton-brown.txt',
chesterton-thursday.txt', edgeworth-parents.txt', melville-moby_dick.txt',
milton-paradise.txt', shakespeare-caesar.txt', shakespeare-hamlet.txt',
shakespeare-macbeth.txt', whitman-leaves.txt']
我们可以使用send_tokenize函数访问这些文件中的原始文本，该函数在nltk中也可用。在下面的示例中，我们检索blake poen文本的前两段。
from nltk.tokenize import sent_tokenize
from nltk.corpus import gutenberg
sample = gutenberg.raw("blake-poems.txt")
token = sent_tokenize(sample)
for para in range(2):
print(token[para])
当我们运行上面的程序时，我们得到以下输出-
[Poems by William Blake 1789]
SONGS OF INNOCENCE AND OF EXPERIENCE
and THE BOOK of THEL
SONGS OF INNOCENCE
INTRODUCTION
Piping down the valleys wild,
Piping songs of pleasant glee,
On a cloud I saw a child,
And he laughing said to me:
"Pipe a song about a Lamb!"
So I piped with merry cheer.