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Phrase-based Chinese-Uyghur/Uyghur-Chinese Statistical Machine Translation

DONG Xing-hua1,ZHOU Jun-lin2,GUO Shu-sheng1,Turghun Osman1(1.Xinjiang Technical Institute of Physics & Chemistry,Chinese Academy of Science,Urumqi 830011,China;2.Xinjiang Branch of Chinese Academy of Science,Urumqi 830011,China)  
This paper gives a description of implementing a phrase-based machine translation system for Chinese-Uyghur,by the Moses toolkit,using a parallel corpus which is based on telephone recording.For the small scale parallel corpus and highly-inflected characteristics for Uyghur,it splits the Uyghur words into morphemes,and it gets another parallel corpus on morpheme-level.Experiments are carried out on word-level and morpheme-level separately,and show it can reduce the probability of Out-Of-Vocabulary(OOV) and improve the translation quality.
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