Similar Sentence Retrieval for Machine Translation Based on Word-Aligned Bilingual Corpus

摘要：

In this paper,we present a novel method to retrieve the similar examples from the corpus when given an input which should be translated,in which we use the word alignment between the bilingual sentence pair to measure the similarity of the input and the example.

作者: Wen-Han Chao Zhou-Jun Li

作者单位: School of Computer Science,National University of Defense Technology,China,410073 School of Computer Science and Engineering,Beihang University,China,100083

会议类型: 国际会议

会议名称: 4th Asia Information Retrieval Symposium(AIRS 2008)(第四届亚洲信息检索研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 578-585

在线出版日期: 2008-01-16（万方平台首次上网日期，不代表论文的发表时间）