%0 Journal Article
%T Using Semantic Information and Language Knowledge in Bilingual Word Alignment<br>基于语义相似度并运用语言学知识进行双语语句词对齐
%A 晋薇
%A 黄河燕
%A 夏云庆
%J 计算机科学
%D 2002
%I 
%X This paper claries the definition of alignment from the viewpoint of linguistic similarity. Many alignment algorithms have been proposed with very high precision. But the languages belong to occidental family. We propose a new method for alignment between languages that do not belong to the same language family. On the contrary to most of the previously proposed methods that rely heavily on statistics, our method attempts to use linguistic knowledge to overcome the problems of statistical model. Experimental results confirm that the algorithm can align over 85 % of word pairs while maintaining a comparably high precision rate, even when a small corpus is used in training.
%K Machine translation
%K Word alignment
%K Semantic information
%K Bilingual dictionary<br>机器翻译
%K 双语语句词对齐
%K 语言学知识
%K 语义相似度
%K 计算机
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=57A9832C941457BA&yid=C3ACC247184A22C1&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=1AE5323881A5ECDC&eid=F4B561950EE1D31A&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=6