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 cooccurrence 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.