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    <abstract>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 -\textgreater German and was ranked second for German -\textgreater Upper Sorbian according to BLEU scores. For English–Inuktitut, we reached ranks 8 and 10 out of 11 according to BLEU scores.</abstract>
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%0 Conference Proceedings
%T The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks
%A Scherrer, Yves
%A Grönroos, Stig-Arne
%A Virpioja, Sami
%S Proceedings of the Fifth Conference on Machine Translation
%D 2020
%8 nov
%I Association for Computational Linguistics
%C Online
%F scherrer-etal-2020-university
%X 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 -\textgreater German and was ranked second for German -\textgreater Upper Sorbian according to BLEU scores. For English–Inuktitut, we reached ranks 8 and 10 out of 11 according to BLEU scores.
%U https://aclanthology.org/2020.wmt-1.134
%P 1129-1138

Markdown (Informal)

[The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks](https://aclanthology.org/2020.wmt-1.134) (Scherrer et al., WMT 2020)

• The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks (Scherrer et al., WMT 2020)

ACL

• Yves Scherrer, Stig-Arne Grönroos, and Sami Virpioja. 2020. The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks. In Proceedings of the Fifth Conference on Machine Translation, pages 1129–1138, Online. Association for Computational Linguistics.