Research on Katakana Phrase Translation based on Bi-directional Integration

摘要：

In order to solve the problem of Katakana reduced to English in Japanese-English translation, we employ the phrase-based statistical machine translation model to perform Katakana phrase (or word) translation from Japanese to English. The katakana phrase is segmented into words by CRF, and then Japanese-English and English-Japanese bi-directional integration translation is carried out on those segmented results. The translated results of all the segmented words are comprehensively scored to obtain the best English phrase translation result. The experimental results indicate that the katakana phrase translation precision reaches 76%, effectively addresses the problem of the katakana reduced to English.

关键词： Katakana Bi-directional Integration Phrase-based Statistical Machine Translation

作者: Guiping Zhang Yonglei Gao Duo Ji Xiaona Ren

作者单位: Knowledge Engineering Research Center, Shenyang Institute of Aeronautical Engineering. Shenyang, China

会议类型: 国际会议

会议名称: International Conference on Natural Language Processing and Knowledge Engineering(IEEE自然语言处理与知识工程国际会议 IEEE NLP-KE 2009)

会议地点: 大连

会议语种:英文

页码: 1-6

在线出版日期: 2009-09-24（万方平台首次上网日期，不代表论文的发表时间）