计算机应用研究2013，Vol.30Issue(9)：2587-2590,2605,5.DOI:10.3969/j.issn.1001-3695.2013.09.006
基于粘着性模糊规则的维汉机器翻译最大熵调序研究
Research on max entropy reordering in Uyghur-Chinese machine translation based on tackiness fuzzy rules
摘要
Abstract
Aimed at the serious problem of phenomenon that there are so many out-of-vocabulary words and translation disorder in Uyghur-Chinese machine translation,and combined the features of Uyghur and the maximum entropy classification algorithm,this paper presented a max entropy reordering model in Uyghur-Chinese machine translation based on tackiness fuzzy rules.The model was based on max entropy classification algorithm,and created the constraints of tackiness fuzzy rules for Uyghur in the word level,then extracted better effective reordering rules from training corpus to guide the translation decoding procedure.The experiments show that compared with the current reordering methods,such as MSD (mono,swap,discontinuous) and so on,this reordering method is better retained the tackiness feature of Uyghur,and the quality of the translation is also improved.关键词
维汉机器翻译/形态学/粘着性/模糊规则/最大熵/调序模型Key words
Uyghur-Chinese machine translation/ morphological/ tackiness/ fuzzy rules/ max entropy/ reordering model分类
信息技术与安全科学引用本文复制引用
陈科海,周喜,杨雅婷,米成刚..基于粘着性模糊规则的维汉机器翻译最大熵调序研究[J].计算机应用研究,2013,30(9):2587-2590,2605,5.基金项目
中国科学院战略性先导科技专项资助项目(XDA06030400) （XDA06030400）
中国科学院"西部之光"人才培养计划西部博士资助项目(XBBS201216) （XBBS201216）
中国科学院西部行动计划项目(KGZD-EW-501) （KGZD-EW-501）
