Abstract
We present our submission to the very low resource supervised machine translation task at WMT20. We use a decoder-only transformer architecture and formulate the translation task as language modeling. To address the low-resource aspect of the problem, we pretrain over a similar language parallel corpus. Then, we employ an intermediate back-translation step before fine-tuning. Finally, we present an analysis of the system’s performance.- Anthology ID:
- 2020.wmt-1.127
- 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:
- 1079–1083
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.127
- DOI:
- Bibkey:
- Cite (ACL):
- Tucker Berckmann and Berkan Hiziroglu. 2020. Low-Resource Translation as Language Modeling. In Proceedings of the Fifth Conference on Machine Translation, pages 1079–1083, Online. Association for Computational Linguistics.
- Cite (Informal):
- Low-Resource Translation as Language Modeling (Berckmann & Hiziroglu, WMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.wmt-1.127.pdf
- Video:
- https://slideslive.com/38939598
Export citation
@inproceedings{berckmann-hiziroglu-2020-low,
title = "Low-Resource Translation as Language Modeling",
author = "Berckmann, Tucker and
Hiziroglu, Berkan",
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-1.127",
pages = "1079--1083",
abstract = "We present our submission to the very low resource supervised machine translation task at WMT20. We use a decoder-only transformer architecture and formulate the translation task as language modeling. To address the low-resource aspect of the problem, we pretrain over a similar language parallel corpus. Then, we employ an intermediate back-translation step before fine-tuning. Finally, we present an analysis of the system{'}s performance.",
}
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%0 Conference Proceedings %T Low-Resource Translation as Language Modeling %A Berckmann, Tucker %A Hiziroglu, Berkan %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 berckmann-hiziroglu-2020-low %X We present our submission to the very low resource supervised machine translation task at WMT20. We use a decoder-only transformer architecture and formulate the translation task as language modeling. To address the low-resource aspect of the problem, we pretrain over a similar language parallel corpus. Then, we employ an intermediate back-translation step before fine-tuning. Finally, we present an analysis of the system’s performance. %U https://aclanthology.org/2020.wmt-1.127 %P 1079-1083
Markdown (Informal)
[Low-Resource Translation as Language Modeling](https://aclanthology.org/2020.wmt-1.127) (Berckmann & Hiziroglu, WMT 2020)
- Low-Resource Translation as Language Modeling (Berckmann & Hiziroglu, WMT 2020)
ACL
- Tucker Berckmann and Berkan Hiziroglu. 2020. Low-Resource Translation as Language Modeling. In Proceedings of the Fifth Conference on Machine Translation, pages 1079–1083, Online. Association for Computational Linguistics.