Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 3
726-730

Bilingual relatedness optimization model for Chinese-Uyghur machine translation

Pan Yirong1,2,3
Li Xiao1,3
Yang Yating1,3
Dong Rui1,3
1. Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi 830011, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Xinjiang Laboratory of Minority Speech & Language Information Processing, Urumqi 830011, China
DOI: 10.19734/j.issn.1001-3695.2018.08.0625

Abstract

Focused on the issue of semantic independence in Chinese-Uyghur statistical machine translation system, this paper proposed a bilingual relatedness optimization model based on neural machine translation method. The model utilized the attention mechanism to capture word alignment information as well as introduced bilingual phrase semantic relevance and inner word correlation to predict the conditional probability of bilingual phrase pair. And it took the probability as bilingual relatedness to optimize the phrase translation scores in statistical translation model. Experimental results on the 11th China Workshop on Machine Translation(CWMT 2015) Chinese-Uyghur public machine translation datasets show that the proposed approach can achieve obvious improvements both in the phrase-level and the sentence-level machine translation tasks, which outperforms the baseline system with a relative small-scale training data and vocabulary. The highest BLEU point of the proposed algorithm gains 2.49 and 0.59 respectively.

Foundation Support

国家自然科学基金资助项目(U1703133)
中科院西部之光项目(2017-XBQNXZ-A-005)
中国科学院青年创新促进会的资助项目(2017472)
新疆维吾尔自治区重大科技专项项目(2016A03007-3)
新疆维吾尔自治区高层次人才引进工程项目(Y839031201)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0625
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 3
Section: Algorithm Research & Explore
Pages: 726-730
Serial Number: 1001-3695(2020)03-019-0726-05

Publish History

[2020-03-05] Printed Article

Cite This Article

潘一荣, 李晓, 杨雅婷, 等. 面向汉维机器翻译的双语关联度优化模型 [J]. 计算机应用研究, 2020, 37 (3): 726-730. (Pan Yirong, Li Xiao, Yang Yating, et al. Bilingual relatedness optimization model for Chinese-Uyghur machine translation [J]. Application Research of Computers, 2020, 37 (3): 726-730. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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