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学科主题: Computer Science (provided by Thomson Reuters)
题名: 联合式多引擎维汉机器翻译系统
其他题名: joint multiple engines uyghur-chinese machine translation system
作者: 宿建军; 张小燕; 吐尔洪·吾司曼; 李晓
关键词: machine translation ; Factored phrase ; multiple engines ; Uyghur-Chinese ; system fusion
刊名: 计算机工程
发表日期: 2011
卷: 37, 期:16, 页:179-181
资助者: 中国科学院西部行动计划高新技术基金资助项目(KGCX2-YN-507)
摘要: 根据维吾尔语形态变化丰富的特殊性,搭建一个基于Factored的维汉机器翻译系统,将Factored系统和基于层次短语的Joshua翻译系统以及Moses中基于句法的翻译模型进行系统融合,构建混淆网络。提出一种词级和句子级联合融合的维汉机器翻译方法,利用一致性网络进行词级融合,并采用最小贝叶斯算法进行句子级融合。实验结果表明,联合式多引擎方法能提高1.72%个BLUE-SBP值。
英文摘要: According to the agglutination of Uyghur,a factored-based Uyghur-Chinese translation system is constructed.A confusion network is explored which combines factored-based system,hierarchical phrase-based system Joshua and syntax model in Moses.A new translation method in Uyghur-Chinese translation combining word level and sentence level is proposed.It makes use of MBR to merge sentence level results.Experimental results show that the measure can improve BLUE-SBP by 1.72%.
内容类型: 期刊论文
URI标识: http://ir.xjipc.cas.cn/handle/365002/1584
Appears in Collections:多语种信息技术研究室_期刊论文

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作者单位: 中国科学院新疆理化技术研究所;中国科学院研究生院

Recommended Citation:
宿建军,张小燕,吐尔洪·吾司曼,等. 联合式多引擎维汉机器翻译系统[J]. 计算机工程,2011,37(16):179-181.
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