DocumentCode
2513594
Title
Moses-based Chinese-Uyghur statistical machine translation systems
Author
Dong, Xinghua ; Yang, Yating ; Zhou, Xi ; Zhou, Junlin
Author_Institution
Xingjiang Tech. Inst. of Phys. & Chem., Chinese Acad. of China, Urumchi, China
fYear
2010
fDate
28-30 Nov. 2010
Firstpage
186
Lastpage
189
Abstract
This paper is an initial explore to Chinese-Uyghur statistical machine translation. We experimented on three systems, which are based on moses framework, on Uyghur word-level corpus and morpheme-level corpus, then combine their 1-best translation hypothesis by constructing consensus network using TER alignment. The experiments show the combination of hypothesis that are from different systems can obtain a better result.
Keywords
language translation; natural language processing; statistical analysis; Chinese-Uyghur statistical machine translation; TER alignment; Uyghur word-level corpus; consensus network; morpheme-level corpus; moses; translation hypothesis; Computational linguistics; Conferences; Context; Decoding; Morphology; Syntactics; Training; Uyghur; consensus network; statistical machine translation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Computing and Telecommunications (YC-ICT), 2010 IEEE Youth Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-8883-4
Type
conf
DOI
10.1109/YCICT.2010.5713076
Filename
5713076
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