Translating multi word terms into Korean from Chinese documents

This paper suggests a methodology which is aimed to translate the Chinese terms into Korean. Our basic idea is to use a method which combines domain-tuned dictionary and target language corpus. The translation system used in our work operated at three steps: (1) Tokenization of the term candidate; (2) Translation of term candidates using domain-tuned bilingual lexicon; (3) Ranking the translation candidate to recommend the best translation according to the frequency of the target word co-occurrence in the corpus. And we have demonstrated the effectiveness of our approach by showing a high degree of accuracy evaluation. Our experiments indicate a significant improvement when measured against un-tuned Chinese-Korean MT system.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000235577200084&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Computer Science, Artificial IntelligenceComputer Science, Information SystemsCPCI-S(ISTP)2kbg43@pku.edu.c