From Sept 25 to 27,the Foreign Affairs Office of the Chengdu Municipal People’s Government,in conjunction with the Consulate General of the People’s Republic of China in Da Nang,Vietnam,and the Chinese Consulate Gen...From Sept 25 to 27,the Foreign Affairs Office of the Chengdu Municipal People’s Government,in conjunction with the Consulate General of the People’s Republic of China in Da Nang,Vietnam,and the Chinese Consulate General in Ho Chi Minh City,organized a Panda-Chengdu event in Vietnam to celebrate the 70 th anniversary of the founding of the People’s Republic of China.展开更多
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 ...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.展开更多
文摘From Sept 25 to 27,the Foreign Affairs Office of the Chengdu Municipal People’s Government,in conjunction with the Consulate General of the People’s Republic of China in Da Nang,Vietnam,and the Chinese Consulate General in Ho Chi Minh City,organized a Panda-Chengdu event in Vietnam to celebrate the 70 th anniversary of the founding of the People’s Republic of China.
基金supported by the National key Basic Research and Development(973)Program of China(No.2013CB329303)the National Natural Science Foundation of China(Nos.61502035,61132009,and 61671064)Beijing Advanced Innovation Center for Imaging Technology(No.BAICIT-2016007)
文摘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.
