Huawei's NMT Systems for the WMT 2019 Biomedical Translation Task

Abstract

This paper describes Huawei's neural machine translation systems for the WMT 2019 biomedical translation shared task. We trained and fine-tuned our systems on a combination of out-of-domain and in-domain parallel corpora for six translation directions covering English--Chinese, English--French and English--German language pairs. Our submitted systems achieve the best BLEU scores on English--French and English--German language pairs according to the official evaluation results. In the English--Chinese translation task, our systems are in the second place. The enhanced performance is attributed to more in-domain training and more sophisticated models developed. Development of translation models and transfer learning (or domain adaptation) methods has significantly contributed to the progress of the task.

Tasks

Reproductions