%0 Journal Article
%T Method of word sense disambiguation based on bayes and machine readable dictionary<br>一种基于贝叶斯分类与机读词典的多义词排歧方法
%A TAN Wen-rong
%A FU Hong-guang
%A LIU Li
%A YANG Xian-ze
%A <br>谈文蓉
%A 符红光
%A 刘莉
%A 杨宪泽
%J 计算机应用
%D 2006
%I 
%X multl-senses of a word are widespread phenomenon in the natural language. The accuracy rate of sense ambiguation is the most important target of a software on the fields of machine translation, information indexing and text sorting. A method based on the bayes and machine readable dictionary was proposed, which could disambiguate by the training of a small-scale corpus and the definition of semantic in machine dictionary. The experimental results show that it has a high accuracy rate of word sense ambiguation when the scale of markup corpus has been limited.
%K word sense disambiguation
%K corpus
%K machine readable dictionary
%K natural language processing<br>词义排歧
%K 语料库
%K 机读词典
%K 自然语言处理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=00B13AF3DA3892A1&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=B31275AF3241DB2D&sid=79D108842269596A&eid=A5545D8D349C0F70&journal_id=1001-9081&journal_name=计算机应用&referenced_num=3&reference_num=6