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://preview.aclanthology.org/remove-affiliations/2020.wmt-1.95/
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/remove-affiliations/2020.wmt-1.95.pdf
- Data
- ParaPat