如何使用 nltk 标记单词列表？

Question

我有一个文本数据集。这些数据集由许多行组成，每行由两个由制表符分隔的句子组成，如下所示：

this is string 1, first sentence.    this is string 2, first sentence.
this is string 1, second sentence.    this is string 2, second sentence.

然后我用这段代码拆分了数据文本：

#file readdata.py
from globalvariable import *
import os


class readdata:
    def dataAyat(self):
        global kalimatayat
        fo = open(os.path.join('E:\dataset','dataset.txt'),"r")
        line = []
        for line in fo.readlines():
            datatxt = line.rstrip('\n').split('\t')
            newdatatxt = [x.split('\t') for x in datatxt]
            kalimatayat.append(newdatatxt)
            print newdatatxt

readdata().dataAyat()

有效，输出为：

[['this is string 1, first sentence.'],['this is string 2, first sentence.']]
[['this is string 1, second sentence.'],['this is string 2, second sentence.']]

我想做的是使用 nltk word tokenize 对这些列表进行标记，我期望的输出是这样的：

[['this' , 'is' , 'string' , '1' , ',' , 'first' , 'sentence' , '.'],['this' , 'is' , 'string' , '2' , ',' , 'first' , 'sentence' , '.']]
[['this' , 'is' , 'string' , '1' , ',' , 'second' , 'sentence' , '.'],['this' , 'is' , 'string' , '2' , ',' , 'second' , 'sentence' , '.']]

有人知道如何标记化为像上面的输出吗？我想在 "tokenizer.py" 中编写一个标记化函数并在 "mainfile.py"

中调用它

Answer 1

要标记句子列表，对其进行迭代并将结果存储在列表中：

data = [[['this is string 1, first sentence.'],['this is string 2, first sentence.']],
[['this is string 1, second sentence.'],['this is string 2, second sentence.']]]
results = []
for sentence in data:
    sentence_results = []
    for s in sentence:
        sentence_results.append(nltk.word_tokenize(sentence))
    results.append(sentence_results)

结果将类似于

[[['this' , 'is' , 'string' , '1' , ',' , 'first' , 'sentence' , '.'],  
  ['this' , 'is' , 'string' , '2' , ',' , 'first' , 'sentence' , '.']], 
[['this' , 'is' , 'string' , '1' , ',' , 'second' , 'sentence' , '.'],
  ['this' , 'is' , 'string' , '2' , ',' , 'second' , 'sentence' , '.']]]

如何使用 nltk 标记单词列表？

How to tokenize a list of words using nltk?

python

list

word

tokenize

nltk