Abstract
This paper describes the machine translation systems developed by the Universidade Federal do Rio Grande do Sul (UFRGS) team for the biomedical translation shared task. Our systems are based on statistical machine translation and neural machine translation, using the Moses and OpenNMT toolkits, respectively. We participated in four translation directions for the English/Spanish and English/Portuguese language pairs. To create our training data, we concatenated several parallel corpora, both from in-domain and out-of-domain sources, as well as terminological resources from UMLS. Our systems achieved the best BLEU scores according to the official shared task evaluation.- Anthology ID:
- W18-6448
- Volume:
- Proceedings of the Third Conference on Machine Translation: Shared Task Papers
- Month:
- October
- Year:
- 2018
- Address:
- Belgium, Brussels
- Editors:
- Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Lucia Specia, Marco Turchi, Karin Verspoor
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 662–666
- Language:
- URL:
- https://aclanthology.org/W18-6448
- DOI:
- 10.18653/v1/W18-6448
- Bibkey:
- Cite (ACL):
- Felipe Soares and Karin Becker. 2018. UFRGS Participation on the WMT Biomedical Translation Shared Task. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 662–666, Belgium, Brussels. Association for Computational Linguistics.
- Cite (Informal):
- UFRGS Participation on the WMT Biomedical Translation Shared Task (Soares & Becker, WMT 2018)
- Copy Citation:
- PDF:
- https://aclanthology.org/W18-6448.pdf
Export citation
@inproceedings{soares-becker-2018-ufrgs,
title = "{UFRGS} Participation on the {WMT} Biomedical Translation Shared Task",
author = "Soares, Felipe and
Becker, Karin",
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
Monz, Christof and
Negri, Matteo and
N{\'e}v{\'e}ol, Aur{\'e}lie and
Neves, Mariana and
Post, Matt and
Specia, Lucia and
Turchi, Marco and
Verspoor, Karin",
booktitle = "Proceedings of the Third Conference on Machine Translation: Shared Task Papers",
month = oct,
year = "2018",
address = "Belgium, Brussels",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6448",
doi = "10.18653/v1/W18-6448",
pages = "662--666",
abstract = "This paper describes the machine translation systems developed by the Universidade Federal do Rio Grande do Sul (UFRGS) team for the biomedical translation shared task. Our systems are based on statistical machine translation and neural machine translation, using the Moses and OpenNMT toolkits, respectively. We participated in four translation directions for the English/Spanish and English/Portuguese language pairs. To create our training data, we concatenated several parallel corpora, both from in-domain and out-of-domain sources, as well as terminological resources from UMLS. Our systems achieved the best BLEU scores according to the official shared task evaluation.",
}
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%0 Conference Proceedings %T UFRGS Participation on the WMT Biomedical Translation Shared Task %A Soares, Felipe %A Becker, Karin %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 Monz, Christof %Y Negri, Matteo %Y Névéol, Aurélie %Y Neves, Mariana %Y Post, Matt %Y Specia, Lucia %Y Turchi, Marco %Y Verspoor, Karin %S Proceedings of the Third Conference on Machine Translation: Shared Task Papers %D 2018 %8 October %I Association for Computational Linguistics %C Belgium, Brussels %F soares-becker-2018-ufrgs %X This paper describes the machine translation systems developed by the Universidade Federal do Rio Grande do Sul (UFRGS) team for the biomedical translation shared task. Our systems are based on statistical machine translation and neural machine translation, using the Moses and OpenNMT toolkits, respectively. We participated in four translation directions for the English/Spanish and English/Portuguese language pairs. To create our training data, we concatenated several parallel corpora, both from in-domain and out-of-domain sources, as well as terminological resources from UMLS. Our systems achieved the best BLEU scores according to the official shared task evaluation. %R 10.18653/v1/W18-6448 %U https://aclanthology.org/W18-6448 %U https://doi.org/10.18653/v1/W18-6448 %P 662-666
Markdown (Informal)
[UFRGS Participation on the WMT Biomedical Translation Shared Task](https://aclanthology.org/W18-6448) (Soares & Becker, WMT 2018)
- UFRGS Participation on the WMT Biomedical Translation Shared Task (Soares & Becker, WMT 2018)
ACL
- Felipe Soares and Karin Becker. 2018. UFRGS Participation on the WMT Biomedical Translation Shared Task. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 662–666, Belgium, Brussels. Association for Computational Linguistics.