Bootstrapping Word Alignment by automatically Generated Bilingual Dictionary

摘要：

This paper presents a new approach to improve the word alignment. Building a bilingual dictionary is one of the main applications for word alignment. However, the research of using the bilingual dictionary to improve the word alignment is not enough. There are two bottlenecks. The first is that large bilingual dictionary is hard to get. The second is that the normal approach of using bilingual dictionary does not make full use of the dictionary. We designed a bootstrapping algorithm to conquer the bottlenecks, achieving a good result.

关键词： Machine Learning Word Alignment Bootstrapping

作者: Danqing ZHU Baobao CHANG

作者单位: Institute of Computational Linguistics,Peking University Beijing,PRC

会议类型: 国际会议

会议名称: The 2008 IEEE International Conference on Natural Language Processing and Knowledge Engineering(IEEE NLP-KE 2008)(2008IEEE自然语言处理与知识工程国际会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-19（万方平台首次上网日期，不代表论文的发表时间）