%0 Journal Article
%T The Research of Character-Position-Based Chinese Word Segmentation<br>基于字位信息的中文分词方法研究*
%A Zhang Jinzhu Zhang Dong Wang Huilin
%A <br>张金柱
%A 张东
%A 王惠临
%J 现代图书情报技术
%D 2008
%I 
%X This paper analyses the actuality and introduces several different representative approaches of Chinese word segmentation,then brings out a character-position-based segmentation method which takes the Chinese character as the least unit.It indicates the probability distribution of a word through the probability distribution of Chinese character,so it plays much better than other approaches in unknown word recognition.This idea takes a machine-learning method called maximum entropy for implementation and two experiments for comparing and analyzing the results.
%K Chinese word segmentation Character-position Maximum entropy Unknown word recognition<br>中文分词
%K 字位
%K 最大熵
%K 未登录词识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=EAFC642C88403C5CB792490A02BB77ED&yid=67289AFF6305E306&vid=B91E8C6D6FE990DB&iid=94C357A881DFC066&sid=7C3A4C1EE6A45749&eid=BE33CC7147FEFCA4&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=0&reference_num=12