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We release a multilingual neural machine translation model, which can be usedto translate text in the biomedical domain. The model can translate from 5languages (French, German, Italian, Korean and Spanish) into English. It istrained with large amounts of generic and biomedical data, using domain tags.Our benchmarks show that it performs near state-of-the-art both on news(generic domain) and biomedical test sets, and that it outperforms the existingpublicly released models. We believe that this release will help thelarge-scale multilingual analysis of the digital content of the COVID-19 crisisand of its effects on society, economy, and healthcare policies.  We also release a test set of biomedical text for Korean-English. It consistsof 758 sentences from official guidelines and recent papers, all aboutCOVID-19.

A Multilingual Neural Machine Translation Model for Biomedical Data