Abstract
This paper describes the machine translation systems developed by the University of Sheffield (UoS) team for the biomedical translation shared task of WMT20. Our system is based on a Transformer model with TensorFlow Model Garden toolkit. We participated in ten translation directions for the English/Spanish, English/Portuguese, English/Russian, English/Italian, and English/French language pairs. To create our training data, we concatenated several parallel corpora, both from in-domain and out-of-domain sources.- Anthology ID:
- 2020.wmt-1.95
- 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:
- 870–874
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.95
- DOI:
- Bibkey:
- Cite (ACL):
- Felipe Soares and Delton Vaz. 2020. UoS Participation in the WMT20 Translation of Biomedical Abstracts. In Proceedings of the Fifth Conference on Machine Translation, pages 870–874, Online. Association for Computational Linguistics.
- Cite (Informal):
- UoS Participation in the WMT20 Translation of Biomedical Abstracts (Soares & Vaz, WMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.wmt-1.95.pdf
- Video:
- https://slideslive.com/38939632
- Data
- ParaPat
Export citation
@inproceedings{soares-vaz-2020-uos,
title = "{U}o{S} Participation in the {WMT}20 Translation of Biomedical Abstracts",
author = "Soares, Felipe and
Vaz, Delton",
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-1.95",
pages = "870--874",
abstract = "This paper describes the machine translation systems developed by the University of Sheffield (UoS) team for the biomedical translation shared task of WMT20. Our system is based on a Transformer model with TensorFlow Model Garden toolkit. We participated in ten translation directions for the English/Spanish, English/Portuguese, English/Russian, English/Italian, and English/French language pairs. To create our training data, we concatenated several parallel corpora, both from in-domain and out-of-domain sources.",
}
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<abstract>This paper describes the machine translation systems developed by the University of Sheffield (UoS) team for the biomedical translation shared task of WMT20. Our system is based on a Transformer model with TensorFlow Model Garden toolkit. We participated in ten translation directions for the English/Spanish, English/Portuguese, English/Russian, English/Italian, and English/French language pairs. To create our training data, we concatenated several parallel corpora, both from in-domain and out-of-domain sources.</abstract>
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%0 Conference Proceedings %T UoS Participation in the WMT20 Translation of Biomedical Abstracts %A Soares, Felipe %A Vaz, Delton %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 soares-vaz-2020-uos %X This paper describes the machine translation systems developed by the University of Sheffield (UoS) team for the biomedical translation shared task of WMT20. Our system is based on a Transformer model with TensorFlow Model Garden toolkit. We participated in ten translation directions for the English/Spanish, English/Portuguese, English/Russian, English/Italian, and English/French language pairs. To create our training data, we concatenated several parallel corpora, both from in-domain and out-of-domain sources. %U https://aclanthology.org/2020.wmt-1.95 %P 870-874
Markdown (Informal)
[UoS Participation in the WMT20 Translation of Biomedical Abstracts](https://aclanthology.org/2020.wmt-1.95) (Soares & Vaz, WMT 2020)
- UoS Participation in the WMT20 Translation of Biomedical Abstracts (Soares & Vaz, WMT 2020)
ACL
- Felipe Soares and Delton Vaz. 2020. UoS Participation in the WMT20 Translation of Biomedical Abstracts. In Proceedings of the Fifth Conference on Machine Translation, pages 870–874, Online. Association for Computational Linguistics.