Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task
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Abstract (arXiv)
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→English system, named Summer, achieves the highest BLEU score among all submissions.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 10 of its 15 references that are in the map. First posted on arXiv 28 Nov 2022.
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References · 10
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- 2016Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translationcited by 467
- 2021Selective Knowledge Distillation for Neural Machine Translationcited by 42
- 2018Accelerating Neural Transformer via an Average Attention Networkcited by 22
- 2020WeChat Neural Machine Translation Systems for WMT20cited by 11
- 2021WeChat Neural Machine Translation Systems for WMT21cited by 11
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