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.

翻译：本文介绍WeChat 参与WMT 2022 共享的中英生物医学翻译任务。 我们的系统以变换器为基础,并使用几种不同的变换器结构来提高翻译质量。 在我们的实验中,我们采用了数据过滤、数据生成、变换器的若干变异、微调和模型组合。 我们的中元\to$英语系统,名为Summer,在所有提交材料中获得了最高的BLEU分数。