Naver Labs Europe's Participation in the Robustness, Chat, and Biomedical Tasks at WMT 2020

Alexandre Berard, Ioan Calapodescu, Vassilina Nikoulina, Jerin Philip

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes Naver Labs Europe's participation in the Robustness, Chat, and Biomedical Translation tasks at WMT 2020. We propose a bidirectional German-English model that is multi-domain, robust to noise, and which can translate entire documents (or bilingual dialogues) at once. We use the same ensemble of such models as our primary submission to all three tasks and achieve competitive results. We also experiment with language model pre-training techniques and evaluate their impact on robustness to noise and out-of-domain translation. For German, Spanish, Italian, and French to English translation in the Biomedical Task, we also submit our recently released multilingual Covid19NMT model.
Original languageEnglish
Title of host publicationProceedings of the Fifth Conference on Machine Translation
Place of PublicationOnline
PublisherAssociation for Computational Linguistics
Pages462-472
Number of pages11
ISBN (Electronic)978-1-948087-81-0
Publication statusPublished - 19 Nov 2020
EventFifth Conference on Machine Translation - Online Conference
Duration: 19 Nov 202020 Nov 2020
http://www.statmt.org/wmt20/

Conference

ConferenceFifth Conference on Machine Translation
Abbreviated titleWMT 2020
CityOnline Conference
Period19/11/2020/11/20
Internet address

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