A Multilingual Neural Machine Translation Model for Biomedical Data
Alexandre Bérard, Zae Myung Kim, Vassilina Nikoulina, Eunjeong L. Park, Matthias Gallé · 2020
We release a multilingual neural machine translation model, which can be used to translate text in the biomedical domain.The model can translate from 5 languages (French, German, Italian, Korean and Spanish) into English.It is trained with large amounts of generic and biomedical data, using domain tags.Our benchmarks show that it performs near stateof-the-art both on news (generic domain) and biomedical test sets, and that it outperforms the existing publicly released models.We believe that this release will help the large-scale multilingual analysis of the digital content of the COVID-19 crisis and of its effects on society, economy, and healthcare policies.We also release a test set of biomedical text for Korean-English.It consists of 758 sentences from official guidelines and recent papers, all about COVID-19.