依存句法语言模型对短语统计机器翻译性能的影响

计算机科学 ›› 2014, Vol. 41 ›› Issue (2): 99-101.

依存句法语言模型对短语统计机器翻译性能的影响

董人菘,王华,张晓钟,余正涛,张涛

昆明理工大学冶金与能源工程学院昆明650093;昆明理工大学冶金与能源工程学院昆明650093;昆明理工大学城市学院昆明650051;昆明理工大学信息工程与自动化学院昆明650500;昆明理工大学信息工程与自动化学院昆明650500

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受国家自然科学基金(61163022,61262041)资助

Effects of Statistical Machine Translation with Language Model of Dependency Syntax Relationship

DONG Ren-song,WANG Hua,ZHANG Xiao-zhong,YU Zheng-tao and ZHANG Tao

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 为提高汉-英统计机器翻译的翻译效果,提出一个基于依存句法关系的语言模型,在较成熟的基于短语翻译的统计特征下,对解码产生的NBEST候选翻译结果进行进一步约束,重新计算得分,调整NBEST候选翻译序列,以得到最佳翻译。实验以“Pharaoh”为比较基准,以500句汉英句对为测试集,最终的实验结果表明,提出的基于依存句法关系的语言模型可以在一定程度上提高汉-英统计机器翻译最佳翻译的正确率。

关键词: 依存句法,语言模型,机器翻译中图法分类号TP391.2文献标识码A

Abstract: In order to improve the the results of statistical machine translation in Chinese-English,the paper proposed a language model based on dependency syntax relationship.In the more mature features of phrase-based statistical translation,this new model can further constraint the result of the NBEST sequence by decoding,recalculate the NBEST sequence scores,and adjust the NBEST sequence to get a better translation．Experiments with a test set with baseline of "Pharaoh" in 500English sentences and the final experimental results show that the proposed language model with dependency syntax relationship can improve the accuracy of Chinese-English’s best statistical translation in some extent.

Key words: Dependency syntax,Language model,Machine translation

董人菘,王华,张晓钟,余正涛,张涛. 依存句法语言模型对短语统计机器翻译性能的影响[J]. 计算机科学, 2014, 41(2): 99-101. https://doi.org/

DONG Ren-song,WANG Hua,ZHANG Xiao-zhong,YU Zheng-tao and ZHANG Tao. Effects of Statistical Machine Translation with Language Model of Dependency Syntax Relationship[J]. Computer Science, 2014, 41(2): 99-101. https://doi.org/

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