Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task
This work addresses biomedical translation for researchers and practitioners, but it is incremental as it builds on existing Transformer methods.
The paper tackled biomedical translation from Chinese to English by developing a system based on Transformer variants, achieving the highest BLEU score among all submissions in the WMT22 task.
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$\to$English system, named Summer, achieves the highest BLEU score among all submissions.