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《Computer Engineering》 2011-09
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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.
【Fund】: 中国科学院西部行动计划高新技术基金资助项目(KGCX2-YW-507)
【CateGory Index】: TP391.2
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【Citations】
Chinese Journal Full-text Database 3 Hits
1 YANG Pan1,2,ZHANG Jian1,LI Miao1,Wudabala1,XUE Yan3(1.Institute of Intelligent Machines,Chinese Academy of Sciences,Hefei,Anhui 230031,China;2.School of Information Science and Technology,University of Science and Technology of China,Hefei,Anhui 230027,China;3.School of Mongolian,Inner Mongolia University,Huhhot 010021,Inner Mongolia AR,China);Morpholog-Processing in Chinese-Mongolian Statistical Machine Translation[J];Journal of Chinese Information Processing;2009-01
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【Co-citations】
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1 LUO Kai1,2,LI Miao 1,Wudabala1,YANG Pan1,2,ZHU Hai1,2(1.Institute of Intelligent Machines,Chinese Academy of Sciences,Anhui Hefei 230031,China;2.School of Information Science and Technology,University of Science and Technology of China,Anhui Hefei 230027,China);Dependency Informed Chinese-to-Mongolian Translation Model with Morphological Information[J];Journal of Chinese Information Processing;2009-06
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1 Li Wen~(1,2),Li Miao~1,Zhang Jian~1,Chen Lei~1,Xue Yan~3 1.Institute of Intelligent Machines,Chinese Academy of Sciences,P.R China,230031 2.University of Science and Technology of China,P.R China,230031 3.Mongolian Department,Minzu University of China,P.R China,100081;An Unsupervised Morphological Segmentation Method with Feature Weights[A];[C];2010
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3 DONG Xing-hua~1,ZHOU Jun-lin~2,GUO Shu-sheng~1,Turghun Osman~1 1.Xingjiang Technical Institute of Physics & Chemistry,Chinese Academic of Science,Urumqi 830011,China; 2.2.Xingjiang Branch of Chinese Academic of Science,Urumqi 830011,China;Phrase-based Chinese-Uyghur Statistical Machine Translation[A];[C];2010
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