{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/findings-of-the-wmt-2020-biomedical","title":"Findings of the WMT 2020 Biomedical Translation Shared Task: Basque, Italian and Russian as New Additional Languages","arxiv_id":null,"date":"2020-11-01","proceeding":"WMT (EMNLP) 2020 11","authors":["Rachel Bawden","Giorgio Maria Di Nunzio","Cristian Grozea","Inigo Jauregi Unanue","Antonio Jimeno Yepes","Nancy Mah","David Martinez","Aurélie Névéol","Mariana Neves","Maite Oronoz","Olatz Perez-de-Viñaspre","Massimo Piccardi","Roland Roller","Amy Siu","Philippe Thomas","Federica Vezzani","Maika Vicente Navarro","Dina Wiemann","Lana Yeganova"],"abstract":"Machine translation of scientific abstracts and terminologies has the potential to support health professionals and biomedical researchers in some of their activities. In the fifth edition of the WMT Biomedical Task, we addressed a total of eight language pairs. Five language pairs were previously addressed in past editions of the shared task, namely, English/German, English/French, English/Spanish, English/Portuguese, and English/Chinese. Three additional languages pairs were also introduced this year: English/Russian, English/Italian, and English/Basque. The task addressed the evaluation of both scientific abstracts (all language pairs) and terminologies (English/Basque only). We received submissions from a total of 20 teams. For recurring language pairs, we observed an improvement in the translations in terms of automatic scores and qualitative evaluations, compared to previous years.","url_abs":"https://aclanthology.org/2020.wmt-1.76","url_pdf":"https://aclanthology.org/2020.wmt-1.76.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"findings-of-the-wmt-2020-biomedical","repo_url":"https://github.com/biomedical-translation-corpora/corpora","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}