Integrating Pronunciation into Chinese-Vietnamese Statistical Machine Translation

被引：0

作者：

Anh Tran Huu ^{[1
]}

Heyan Huang ^{[1
]}

Yuhang Guo ^{[1
]}

Shumin Shi ^{[1
]}

Ping Jian ^{[1
]}

机构：

[1] the Department of Computer Science and Technology, Beijing Institute of Technology

来源：

TsinghuaScienceandTechnology | 2018年 / 23卷 / 06期

基金：

中国国家自然科学基金;

关键词：

pronunciation integration; low-resource languages; Chinese-Vietnamese machine translation; Sino-Vietnamese words;

D O I：

暂无

中图分类号：

H085 [机器翻译];

学科分类号：

050211 ;

摘要：

Statistical machine translation for low-resource language suffers from the lack of abundant training corpora. Several methods, such as the use of a pivot language, have been proposed as a bridge to translate from one language to another. However, errors will accumulate during the extensive translation pipelines. In this paper,we propose an approach to low-resource language translation by exploiting the pronunciation correlations between languages. We find that the pronunciation features can improve both Chinese-Vietnamese and VietnameseChinese translation qualities. Experimental results show that our proposed model yields effective improvements,and the translation performance(bilingual evaluation understudy score) is improved by a maximum value of 1.03.

引用

页码：715 / 723

页数：9

共 13 条

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