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《Journal of Computer Applications》 2009-07
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Chinese-Uyghur machine translation system for phrase-based statistical translation

YANG Pan1,2,LI Miao1,ZHANG Jian1(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))  
This paper described a Chinese-Uyghur machine translation system for phrase-based statistical translation.First the Chinese-Uyghur corpus was used to train the language model and the translation model.After using these models to decode the source statement,the authors got the best translation statement.The core decoding algorithm was the beam search algorithm,and the Latin-Script Uyghur was used as the Uyghur corpus.The experimental results show that phrase-based statistical machine translation method can be used quickly and effectively to build a Chinese-Uygher machine translation platform.
【Fund】: 中国科学院知识创新工程重要方向项目(KGCX2-SW-511)
【CateGory Index】: TP391.2
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