pronunciation integration, low-resource languages, Chinese-Vietnamese machine translation, Sino-Vietnamese words
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.
Tsinghua University Press
Anh Tran Huu, Heyan Huang, Yuhang Guo et al. Integrating Pronunciation into Chinese-Vietnamese Statistical Machine Translation. Tsinghua Science and Technology 2018, 23(6): 715-723.