@article{Huu2018, 
author = {Anh Tran Huu and Heyan Huang and Yuhang Guo and Shumin Shi and and Ping Jian},
title = {Integrating Pronunciation into Chinese-Vietnamese Statistical Machine Translation},
year = {2018},
journal = {Tsinghua Science and Technology},
volume = {23},
number = {6},
pages = {715-723},
keywords = {pronunciation integration, low-resource languages, Chinese-Vietnamese machine translation, Sino-Vietnamese words},
url = {https://www.sciopen.com/article/10.26599/TST.2018.9010006},
doi = {10.26599/TST.2018.9010006},
abstract = {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 Vietnamese-Chinese 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.}
}