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
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;
Conference_Titel :
Information Computing and Telecommunications (YC-ICT), 2010 IEEE Youth Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8883-4
DOI :
10.1109/YCICT.2010.5713076
