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

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Journal Title
Journal ISSN
Volume Title
Conference article in proceedings
Date
2020-11-19
Major/Subject
Mcode
Degree programme
Language
en
Pages
10
1129-1138
Series
Proceedings of the Fifth Conference on Machine Translation
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 -> 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.
Description
Keywords
neural machine translation, Low-resource languages, Subword segmentation, Inuktitut, Upper Sorbian
Other note
Citation
Scherrer , Y , Grönroos , S-A & Virpioja , S 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 . Association for Computational Linguistics , pp. 1129-1138 , Conference on Machine Translation , Virtual, Online , 19/11/2020 . < https://www.aclweb.org/anthology/2020.wmt-1.134/ >