Fast-Syntax-Matching-based Japanese-Chinese Limited Machine Translation

摘要：

　　Limited machine translation(LMT)is an unliterate automatic translation based on bilingual dictionary and sentence bank.This paper addresses the Japanese-Chinese LMT problem,proposes two syntactic hypotheses about Japanese texts,and designs a fast-syntax-matching-based Japanese-Chinese(FSMJC)LMT algorithm.In which,the fast syntax matching function,a modified version of Levenshtein function,can predict an approximate similarity of syntactic patterns between two Japanese sentences by a straightforward calculating of their formal occurrences.The experimental results show that the FSMJC LMT algorithm can obtain desirable effects with greatly reduced time costs,and prove that our two syntactic hypotheses are effective on Japanese texts.

关键词： Limited Machine Translation Fast Syntax Matching Hiratoken Syntactic Pattern Formal Occurrence

作者: Wuying Liu Lin Wang

作者单位: Laboratory of Language Engineering and Computing,Guangdong University of Foreign Studies,510420 Guangzhou,Guangdong,China

会议类型: 国际会议

会议名称: 第五届自然语言处理与中文计算会议(NLPCC-ICCPOL2016)

会议地点: 昆明

会议语种:英文

页码: 1-8

在线出版日期: 2016-12-02（万方平台首次上网日期，不代表论文的发表时间）