NLP \ word list 语料库
什么是语料库？ 语料库可以定义为文本文档的集合。它可以被认为只是一个目录中的一堆文本文件，通常与文本文件的许多其他目录放在一起。
如何创建词表语料库？
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它是最简单的公司阅读器类之一。 此类提供对包含单词列表或每行一个单词的文件的访问 Wordlist 文件可以是一个 CSV 文件或一个 txt 文件，每行有一个单词。在我们的词表文件
py we have added : geeks for geeks welcomes you to nlp articles- 给出两个论据 包含文件的目录路径 list of filenames
代码#1:创建单词列表语料库
```py from nltk.corpus.reader import WordListCorpusReader x = WordListCorpusReader('.', ['C:\Users\dell\Desktop\wordlist.txt']) x.words()
x.fileids() ```
输出:
```py ['geeks', 'for', 'geeks', 'welcomes', 'you', 'to', 'nlp', 'articles']
['C:\Users\dell\Desktop\wordlist.txt']
```
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代码#2:访问原始数据。
```py x.raw()
from nltk.tokenize import line_tokenize print ("Wordlist : ", line_tokenize(x.raw())) ```
输出:
```py 'geeks\r\nfor\r\ngeeks\r\nwelcomes\r\nyou\r\nto\r\nnlp\r\narticles'
Wordlist : ['geeks', 'for', 'geeks', 'welcomes', 'you', 'to', 'nlp', 'articles'] ```
代码#3:访问姓名词表语料库
```py
Accessing pre-defined wordlist
from nltk.corpus import names
print ("Path : ", names.fileids())
print ("\nNo. of female names : ", len(names.words('female.txt')))
print ("\nNo. of male names : ", len(names.words('male.txt'))) ```
输出:
```py Path : ['female.txt', 'male.txt']
No. of female names : 5001
No. of male names : 2943 ```
代码#4:访问英语词表语料库
```py
Accessing pre-defined wordlist
from nltk.corpus import words
print ("File : ", words.fileids())
print ("\nNo. of female names : ", len(words.words('en-basic')))
print ("\nNo. of male names : ", len(words.words('en'))) ```
输出:
```py File : ['en', 'en-basic']
No. of female names : 850
No. of male names : 235886 ```
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