The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks

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Sammanfattning

This paper describes the joint participation of University of Helsinki and Aalto University to two shared tasks of WMT 2020: the news translation between Inuktitut and English and the low-resource translation between German and Upper Sorbian. For both tasks, our efforts concentrate on efficient use of monolingual and related bilingual corpora with scheduled multi-task learning as well as an optimized subword segmentation with sampling. Our submission obtained the highest score for Upper Sorbian -> German and was ranked second for German -> Upper Sorbian according to BLEU scores. For English-Inuktitut, we reached ranks 8 and 10 out of 11 according to BLEU scores.
Originalspråkengelska
Titel på värdpublikationProceedings of the Fifth Conference on Machine Translation
RedaktörerLoïc Barrault [et al.]
Antal sidor10
UtgivningsortStroudsburg
FörlagThe Association for Computational Linguistics
Utgivningsdatum1 nov. 2020
Sidor1129-1138
ISBN (tryckt)978-1-948087-81-0
StatusPublicerad - 1 nov. 2020
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangConference on Machine Translation - [Online conference]
Varaktighet: 19 nov. 202020 nov. 2020
Konferensnummer: 5
http://www.statmt.org/wmt20/

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