Integrating pronunciation into Chinese-Vietnamese statistical machine translation
Integrating pronunciation into Chinese-Vietnamese statistical machine translation
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DOI：
10.26599/tst.2018.9010006
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发表时间：
2018-12
影响因子：
6.6
通讯作者：
Anh Tran Huu;Heyan Huang;Yuhang Guo;Shumin Shi;Ping Jian
中科院分区：
文献类型：
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作者：
Anh Tran Huu;Heyan Huang;Yuhang Guo;Shumin Shi;Ping Jian
针对低资源语言的统计机器翻译缺乏丰富的训练语料库。已经提出了几种方法，如使用枢轴语言，作为从一种语言翻译到另一种语言的桥梁。然而，在广泛的翻译管道过程中，会积累错误。在本文中，我们提出了一种利用语言之间的发音相关性来进行低资源语言翻译的方法。我们发现发音特征可以提高汉越和越南语的翻译质量。实验结果表明，本文提出的模型能有效地提高翻译性能(双语评估候补分数)，最大值为1.03。
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.