Splitting chinese document into sentences [closed]

问题

I have to split Chinese text into multiple sentences. I tried the Stanford DocumentPreProcessor. It worked quite well for English but not for Chinese.

Please can you let me know any good sentence splitters for Chinese preferably in Java or Python.

回答1:

Using some regex tricks in Python (c.f. a modified regex of Section 2.3 of http://aclweb.org/anthology/Y/Y11/Y11-1038.pdf):

import re

paragraph = u'\u70ed\u5e26\u98ce\u66b4\u5c1a\u5854\u5c14\u662f2001\u5e74\u5927\u897f\u6d0b\u98d3\u98ce\u5b63\u7684\u4e00\u573a\u57288\u6708\u7a7f\u8d8a\u4e86\u52a0\u52d2\u6bd4\u6d77\u7684\u5317\u5927\u897f\u6d0b\u70ed\u5e26\u6c14\u65cb\u3002\u5c1a\u5854\u5c14\u4e8e8\u670814\u65e5\u7531\u70ed\u5e26\u5927\u897f\u6d0b\u7684\u4e00\u80a1\u4e1c\u98ce\u6ce2\u53d1\u5c55\u800c\u6210\uff0c\u5176\u5b58\u5728\u7684\u5927\u90e8\u5206\u65f6\u95f4\u91cc\u90fd\u5728\u5feb\u901f\u5411\u897f\u79fb\u52a8\uff0c\u9000\u5316\u6210\u4e1c\u98ce\u6ce2\u540e\u7a7f\u8d8a\u4e86\u5411\u98ce\u7fa4\u5c9b\u3002'

def zng(paragraph):
    for sent in re.findall(u'[^!?。\.\!\?]+[!?。\.\!\?]?', paragraph, flags=re.U):
        yield sent

list(zng(paragraph))

Regex explanation: https://regex101.com/r/eNFdqM/2

回答2:

Either of these open sources projects should be useful afaik:

HanLP https://github.com/hankcs/HanLP
FudanNLP https://github.com/FudanNLP/fnlp

回答3:

For unsegmented text, using the Stanford libraries, you probably want to use their Chinese CoreNLP. This isn't as well documented as the base corenlp, but it will work for your task.

http://nlp.stanford.edu/software/corenlp-faq.shtml#languages http://nlp.stanford.edu/software/corenlp.shtml

You will want the segmenter and the sentence splitter. "segment, ssplit" The others are not relevant.

Alternatively, you can use the WordToSentenceSplitter class in edu.stanford.nlp.process.WordToSentenceSplitter directly. If you do that, you can look at how it is used in WordsToSentencesAnnotator.

来源：https://stackoverflow.com/questions/27441191/splitting-chinese-document-into-sentences

标签

nlp

tokenize

stanford-nlp

sentence