Baidu Neural Machine Translation Systems for WMT19
Meng Sun, Bojian Jiang, Hao Xiong, Zhongjun He, Hua Ren Wu, Haifeng Wang · 2019
In this paper we introduce the systems Baidu submitted for the WMT19 shared task on Chinese↔English news translation.Our systems are based on the Transformer architecture with some effective improvements.Data selection, back translation, data augmentation, knowledge distillation, domain adaptation, model ensemble and re-ranking are employed and proven effective in our experiments.Our Chinese→English system achieved the highest case-sensitive BLEU score among all constrained submissions, and our English→Chinese system ranked the second in all submissions.