2022 EMNLP EMNLP 2022

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

Abstract

AbstractThis paper introduces WeChat’s participation in WMT 2022 shared biomedical translationtask on Chinese→English. Our systems are based on the Transformer(Vaswani et al., 2017),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.

🌉 Interdisciplinary Bridge — Deep Learning and Machine Learning and Natural Language Processing
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio