English

Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task

Computation and Language 2022-11-29 v1

Abstract

This paper introduces WeChat's participation in WMT 2022 shared biomedical translation task on Chinese to English. Our systems are based on the Transformer, and use several different Transformer structures to improve the quality of translation. In our experiments, we employ data filtering, data generation, several variants of Transformer, fine-tuning and model ensemble. Our Chinese\toEnglish system, named Summer, achieves the highest BLEU score among all submissions.

Keywords

Cite

@article{arxiv.2211.15022,
  title  = {Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task},
  author = {Ernan Li and Fandong Meng and Jie Zhou},
  journal= {arXiv preprint arXiv:2211.15022},
  year   = {2022}
}