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http://dx.doi.org/10.5916/jkosme.2012.36.5.683

A Bidirectional Korean-Japanese Statistical Machine Translation System by Using MOSES  

Lee, Kong-Joo (충남대학교 정보통신공학과)
Lee, Song-Wook (한국교통대학교 컴퓨터정보공학과)
Kim, Jee-Eun (한국외국어대학교 영어학과)
Publication Information
Journal of Advanced Marine Engineering and Technology / v.36, no.5, 2012 , pp. 683-693 More about this Journal
Abstract
Recently, statistical machine translation (SMT) has received many attention with ease of its implementation and maintenance. The goal of our works is to build bidirectional Korean-Japanese SMT system by using MOSES [1] system. We use Korean-Japanese bilingual corpus which is aligned per sentence to train the translation model and use a large raw corpus in each language to train each language model. The proposed system shows results comparable to those of a rule-based machine translation system. Most of errors are caused by noises occurred in each processing stage.
Keywords
machine translation; statistical machine translation; MOSES;
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