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Korean-Chinese statistical translation model
Li S.; Wong D.F.; Chao L.S.
Conference Name2012 International Conference on Machine Learning and Cybernetics
Source PublicationProceedings -2012 International Conference on Machine Learning and Cybernetics
Conference Date26 November 2012
Conference PlaceXian, China

Korean and Chinese belong to different language families and there are very few researches on statistical machine translation between them. The word order of these two languages is quite different. Korean is considered as a morphologically rich language when compared to Chinese. Hence, in translating Korean into Chinese, more linguistic knowledge is required to achieve a better translation result. This paper presents a Korean to Chinese machine translation system by incorporating different linguistic data of Korean into the translation model. A state-of-the-art factored translation model is employed to verify the goodness of the proposed approach, which is efficient not only for the European languages, but also for Korean and Chinese. Experimental results demonstrate the solid evidence that the proposed method is able to achieve a better performance by integrating different types of linguistic information. © 2012 IEEE.

KeywordFactored Translation Model Korean-chinese Statistical Machine Translation
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Document TypeConference paper
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Li S.,Wong D.F.,Chao L.S.. Korean-Chinese statistical translation model[C],2012:767-772.
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