Abstract
This paper describes the CUNI submission to the WMT 2019 News Translation Shared Task for the low-resource languages: Gujarati-English and Kazakh-English. We participated in both language pairs in both translation directions. Our system combines transfer learning from a different high-resource language pair followed by training on backtranslated monolingual data. Thanks to the simultaneous training in both directions, we can iterate the backtranslation process. We are using the Transformer model in a constrained submission.- Anthology ID:
- W19-5322
- Volume:
- Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
- Month:
- August
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Marco Turchi, Karin Verspoor
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 234–240
- Language:
- URL:
- https://aclanthology.org/W19-5322
- DOI:
- 10.18653/v1/W19-5322
- Bibkey:
- Cite (ACL):
- Tom Kocmi and Ondřej Bojar. 2019. CUNI Submission for Low-Resource Languages in WMT News 2019. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 234–240, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- CUNI Submission for Low-Resource Languages in WMT News 2019 (Kocmi & Bojar, WMT 2019)
- Copy Citation:
- PDF:
- https://aclanthology.org/W19-5322.pdf
- Poster:
- W19-5322.Poster.pdf
Export citation
@inproceedings{kocmi-bojar-2019-cuni,
title = "{CUNI} Submission for Low-Resource Languages in {WMT} News 2019",
author = "Kocmi, Tom and
Bojar, Ond{\v{r}}ej",
editor = "Bojar, Ond{\v{r}}ej and
Chatterjee, Rajen and
Federmann, Christian and
Fishel, Mark and
Graham, Yvette and
Haddow, Barry and
Huck, Matthias and
Yepes, Antonio Jimeno and
Koehn, Philipp and
Martins, Andr{\'e} and
Monz, Christof and
Negri, Matteo and
N{\'e}v{\'e}ol, Aur{\'e}lie and
Neves, Mariana and
Post, Matt and
Turchi, Marco and
Verspoor, Karin",
booktitle = "Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-5322",
doi = "10.18653/v1/W19-5322",
pages = "234--240",
abstract = "This paper describes the CUNI submission to the WMT 2019 News Translation Shared Task for the low-resource languages: Gujarati-English and Kazakh-English. We participated in both language pairs in both translation directions. Our system combines transfer learning from a different high-resource language pair followed by training on backtranslated monolingual data. Thanks to the simultaneous training in both directions, we can iterate the backtranslation process. We are using the Transformer model in a constrained submission.",
}
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%0 Conference Proceedings %T CUNI Submission for Low-Resource Languages in WMT News 2019 %A Kocmi, Tom %A Bojar, Ondřej %Y Bojar, Ondřej %Y Chatterjee, Rajen %Y Federmann, Christian %Y Fishel, Mark %Y Graham, Yvette %Y Haddow, Barry %Y Huck, Matthias %Y Yepes, Antonio Jimeno %Y Koehn, Philipp %Y Martins, André %Y Monz, Christof %Y Negri, Matteo %Y Névéol, Aurélie %Y Neves, Mariana %Y Post, Matt %Y Turchi, Marco %Y Verspoor, Karin %S Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1) %D 2019 %8 August %I Association for Computational Linguistics %C Florence, Italy %F kocmi-bojar-2019-cuni %X This paper describes the CUNI submission to the WMT 2019 News Translation Shared Task for the low-resource languages: Gujarati-English and Kazakh-English. We participated in both language pairs in both translation directions. Our system combines transfer learning from a different high-resource language pair followed by training on backtranslated monolingual data. Thanks to the simultaneous training in both directions, we can iterate the backtranslation process. We are using the Transformer model in a constrained submission. %R 10.18653/v1/W19-5322 %U https://aclanthology.org/W19-5322 %U https://doi.org/10.18653/v1/W19-5322 %P 234-240
Markdown (Informal)
[CUNI Submission for Low-Resource Languages in WMT News 2019](https://aclanthology.org/W19-5322) (Kocmi & Bojar, WMT 2019)
- CUNI Submission for Low-Resource Languages in WMT News 2019 (Kocmi & Bojar, WMT 2019)
ACL
- Tom Kocmi and Ondřej Bojar. 2019. CUNI Submission for Low-Resource Languages in WMT News 2019. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 234–240, Florence, Italy. Association for Computational Linguistics.