Pivot-based Chinese-Vietnamese joint training neural machine translation method

• Main Authors: WANG ZHENHAN, ZHANG LEI, LIU CHANG, YU ZHENGTAO, ZHU JUNGUO, GAO SHENGXIANG
• Format: Patent
• Language: Chinese; English
• Published: 22.01.2021
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention relates to a pivot-based Chinese-Vietnamese joint training neural machine translation method, and belongs to the technical field of natural language processing. The method comprises thesteps that firstly, Chinese and Vietnamese word vector representations are obtained by training a translation model by Chinese-Vietnamese parallel corpora; secondly, English as a pivot language jointly trains Chinese-English and English-Vietnamese translation models, and calculating and optimizing vector representations of Chinese and Vietnamese of Chinese-English, English-Vietnamese translation models and vector representations of Chinese and Vietnamese acquired by a Chinese-Vietnamese model to joint train Chinese and Vietnamese. A Chinese-Vietnamese corpus, a Chinese-English corpus and an English-Vietnamese corpus are jointly trained. An English pivot corpus is fully utilized to improve the Chinese-English machine translation performance, so that the problem of poor translation model performance caused by missin