利用NLTK进行分句分词

1.输入一个段落，分成句子（Punkt句子分割器）

import nltk
import nltk.data

def splitSentence(paragraph):
    tokenizer = nltk.data.load('tokenizers/punkt/english.pickle')
    sentences = tokenizer.tokenize(paragraph)
    return sentences

if __name__ == '__main__':
    print splitSentence("My name is Tom. I am a boy. I like soccer!")

结果为['My name is Tom.', 'I am a boy.', 'I like soccer!']

2.输入一个句子，分成词组

from nltk.tokenize import WordPunctTokenizer  

def wordtokenizer(sentence):
    #分段
    words = WordPunctTokenizer().tokenize(sentence)
    return words

if __name__ == '__main__':
    print wordtokenizer("My name is Tom.")

结果为['My', 'name', 'is', 'Tom', '.']