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基于粘着性模糊规则的维汉机器翻译最大熵调序研究
陈科海; 周喜; 杨雅婷; 米成刚
2013
Source Publication计算机应用研究
ISSN1001-3695
Volume30Issue:9Pages:2587-2590+2605
Abstract

针对维汉机器翻译中未登录词和译文乱序问题严重的现象,结合维吾尔语粘着性语言特点以及最大熵分类算法,提出了一种基于粘着性模糊规则的维汉机器翻译最大熵调序模型。该模型以最大熵模型为基础,在维吾尔语词级别构建粘着性规则约束,从训练语料中提取更加有效的调序规则来指导翻译解码过程。实验证明,该方法与当前主要MSD(mono、swap、discontinuous)等调序方法相比,较好的体现了维吾尔语的粘着性特点,提高了译文质量。

Other 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, the paper presents an Max Entropy Reordering model in Uyghur-Chinese machine translation based on tackiness fuzzy rules. The model is based on Max Entropy classification algorithm,and create the Constraints of tackiness fuzzy rules for Uyghur in the word level , then extracts 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.

Keyword维汉机器翻译 形态学 粘着性 模糊规则 最大熵 调序模型
Indexed ByCSCD
CSCD IDCSCD:4929798
Citation statistics
Document Type期刊论文
Identifierhttp://ir.xjipc.cas.cn/handle/365002/2453
Collection多语种信息技术研究室
Affiliation中国科学院新疆理化技术研究所;中国科学院大学
Recommended Citation
GB/T 7714
陈科海,周喜,杨雅婷,等. 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.
APA 陈科海,周喜,杨雅婷,&米成刚.(2013).基于粘着性模糊规则的维汉机器翻译最大熵调序研究.计算机应用研究,30(9),2587-2590+2605.
MLA 陈科海,et al."基于粘着性模糊规则的维汉机器翻译最大熵调序研究".计算机应用研究 30.9(2013):2587-2590+2605.
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