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.- Anthology ID:
- 2020.wmt-1.134
- Volume:
- Proceedings of the Fifth Conference on Machine Translation
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Yvette Graham, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1129–1138
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.134
- DOI:
- Bibkey:
- Cite (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.
- Cite (Informal):
- The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks (Scherrer et al., WMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.wmt-1.134.pdf
- Video:
- https://slideslive.com/38939589
Export citation
@inproceedings{scherrer-etal-2020-university,
title = "The {U}niversity of {H}elsinki and Aalto University submissions to the {WMT} 2020 news and low-resource translation tasks",
author = {Scherrer, Yves and
Gr{\"o}nroos, Stig-Arne and
Virpioja, Sami},
editor = {Barrault, Lo{\"\i}c and
Bojar, Ond{\v{r}}ej and
Bougares, Fethi and
Chatterjee, Rajen and
Costa-juss{\`a}, Marta R. and
Federmann, Christian and
Fishel, Mark and
Fraser, Alexander and
Graham, Yvette and
Guzman, Paco and
Haddow, Barry and
Huck, Matthias and
Yepes, Antonio Jimeno and
Koehn, Philipp and
Martins, Andr{\'e} and
Morishita, Makoto and
Monz, Christof and
Nagata, Masaaki and
Nakazawa, Toshiaki and
Negri, Matteo},
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wmt-1.134",
pages = "1129--1138",
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.",
}
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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 %Y Barrault, Loïc %Y Bojar, Ondřej %Y Bougares, Fethi %Y Chatterjee, Rajen %Y Costa-jussà, Marta R. %Y Federmann, Christian %Y Fishel, Mark %Y Fraser, Alexander %Y Graham, Yvette %Y Guzman, Paco %Y Haddow, Barry %Y Huck, Matthias %Y Yepes, Antonio Jimeno %Y Koehn, Philipp %Y Martins, André %Y Morishita, Makoto %Y Monz, Christof %Y Nagata, Masaaki %Y Nakazawa, Toshiaki %Y Negri, Matteo %S Proceedings of the Fifth Conference on Machine Translation %D 2020 %8 November %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.