Abstract
In this paper, we describe the TALP-UPC participation in the WMT Similar Language Translation task between Catalan, Spanish, and Portuguese, all of them, Romance languages. We made use of different techniques to improve the translation between these languages. The multilingual shared encoder/decoder has been used for all of them. Additionally, we applied back-translation to take advantage of the monolingual data. Finally, we have applied fine-tuning to improve the in-domain data. Each of these techniques brings improvements over the previous one. In the official evaluation, our system was ranked 1st in the Portuguese-to-Spanish direction, 2nd in the opposite direction, and 3rd in the Catalan-Spanish pair.- Anthology ID:
- 2020.wmt-1.54
- 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:
- 447–450
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.54
- DOI:
- Bibkey:
- Cite (ACL):
- Pere Vergés Boncompte and Marta R. Costa-jussà. 2020. Multilingual Neural Machine Translation: Case-study for Catalan, Spanish and Portuguese Romance Languages. In Proceedings of the Fifth Conference on Machine Translation, pages 447–450, Online. Association for Computational Linguistics.
- Cite (Informal):
- Multilingual Neural Machine Translation: Case-study for Catalan, Spanish and Portuguese Romance Languages (Vergés Boncompte & R. Costa-jussà, WMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.wmt-1.54.pdf
- Video:
- https://slideslive.com/38939555
Export citation
@inproceedings{verges-boncompte-r-costa-jussa-2020-multilingual,
title = "Multilingual Neural Machine Translation: Case-study for {C}atalan, {S}panish and {P}ortuguese {R}omance Languages",
author = "Verg{\'e}s Boncompte, Pere and
R. Costa-juss{\`a}, Marta",
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-1.54",
pages = "447--450",
abstract = "In this paper, we describe the TALP-UPC participation in the WMT Similar Language Translation task between Catalan, Spanish, and Portuguese, all of them, Romance languages. We made use of different techniques to improve the translation between these languages. The multilingual shared encoder/decoder has been used for all of them. Additionally, we applied back-translation to take advantage of the monolingual data. Finally, we have applied fine-tuning to improve the in-domain data. Each of these techniques brings improvements over the previous one. In the official evaluation, our system was ranked 1st in the Portuguese-to-Spanish direction, 2nd in the opposite direction, and 3rd in the Catalan-Spanish pair.",
}
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%0 Conference Proceedings %T Multilingual Neural Machine Translation: Case-study for Catalan, Spanish and Portuguese Romance Languages %A Vergés Boncompte, Pere %A R. Costa-jussà, Marta %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 verges-boncompte-r-costa-jussa-2020-multilingual %X In this paper, we describe the TALP-UPC participation in the WMT Similar Language Translation task between Catalan, Spanish, and Portuguese, all of them, Romance languages. We made use of different techniques to improve the translation between these languages. The multilingual shared encoder/decoder has been used for all of them. Additionally, we applied back-translation to take advantage of the monolingual data. Finally, we have applied fine-tuning to improve the in-domain data. Each of these techniques brings improvements over the previous one. In the official evaluation, our system was ranked 1st in the Portuguese-to-Spanish direction, 2nd in the opposite direction, and 3rd in the Catalan-Spanish pair. %U https://aclanthology.org/2020.wmt-1.54 %P 447-450
Markdown (Informal)
[Multilingual Neural Machine Translation: Case-study for Catalan, Spanish and Portuguese Romance Languages](https://aclanthology.org/2020.wmt-1.54) (Vergés Boncompte & R. Costa-jussà, WMT 2020)
- Multilingual Neural Machine Translation: Case-study for Catalan, Spanish and Portuguese Romance Languages (Vergés Boncompte & R. Costa-jussà, WMT 2020)
ACL
- Pere Vergés Boncompte and Marta R. Costa-jussà. 2020. Multilingual Neural Machine Translation: Case-study for Catalan, Spanish and Portuguese Romance Languages. In Proceedings of the Fifth Conference on Machine Translation, pages 447–450, Online. Association for Computational Linguistics.