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
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 870–874
- Language:
- URL:
- https://aclanthology.org/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/auto-file-uploads/2020.wmt-1.95.pdf
- Data
- ParaPat