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A Clustering Method using Dependency Structure and Part-Of-Speech(POS) for Japanese-English Statistical Machine Translation  

Kim, Han-Kyong (포항공과대학교 컴퓨터공학과)
Na, Hwi-Dong (포항공과대학교 컴퓨터공학과)
Lee, Jin-Ji (포항공과대학교 컴퓨터공학과)
Lee, Jong-Hyeok (포항공과대학교 컴퓨터공학과)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.15, no.12, 2009 , pp. 993-997 More about this Journal
Abstract
Clustering is well known method and that can be used in statistical machine translation. In this paper we propose a corpus clustering method using syntactic structure and POS information of dependency grammar. And using this cluster language model as additional feature to phrased-based statistical machine translation system to improve translation Quality.
Keywords
SMT(Statistical Machine Translation); Clustering; Syntactic Structure; Dependency Grammar;
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