BSC Participation in the WMT Translation of Biomedical Abstracts

Felipe Soares, Martin Krallinger


Abstract
This paper describes the machine translation systems developed by the Barcelona Supercomputing (BSC) team for the biomedical translation shared task of WMT19. Our system is based on Neural Machine Translation unsing the OpenNMT-py toolkit and Transformer architecture. 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.
Anthology ID:
W19-5422
Volume:
Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | WMT | WS
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
175–178
Language:
URL:
https://www.aclweb.org/anthology/W19-5422
DOI:
10.18653/v1/W19-5422
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-5422.pdf