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Findings of the WMT 2020 Biomedical Translation Shared Task: Basque, Italian and Russian as New Additional Languages

: Bawden, Rachel; Di Nunzio, Giorgio Maria; Grozea, Cristian; Jauregi Unanue, Inigo; Jimeno Yepes, Antonio; Mah, Nancy; Martinez, David; Névéol, Aurélie; Neves, Mariana; Oronoz, Maite; Perez-de-Viñaspre, Olatz; Piccardi, Massimo; Roller, Roland; Siu, Amy; Thomas, Philippe; Vezzani, Federica; Vicente Navarro, Maika; Wiemann, Dina; Yeganova, Lana

Volltext urn:nbn:de:0011-n-6352530 (567 KByte PDF)
MD5 Fingerprint: 8a5a779108bca97b46083d227247047f
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Erstellt am: 29.5.2021

Barrault, Loïc (Ed.) ; Association for Computational Linguistics -ACL-:
Fifth Conference on Machine Translation 2020 : Proceedings of the conference, EMNLP 2020, November 19-20, 2020, Online
Stroudsburg/Pa.: ACL, 2020
ISBN: 978-1-948087-81-0
Conference on Machine Translation (WMT) <5, 2020, Online>
Conference on Empirical Methods in Natural Language Processing (EMNLP) <2020, Online>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FOKUS ()
Fraunhofer IBMT ()

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.