The 2019 WMT Biomedical translation task involved translating Medline abstracts. We approached this using transfer learning to obtain a series of strong neural models on distinct domains, and combining them into multi-domain ensembles. We further experiment with an adaptive language-model ensemble weighting scheme. Our submission achieved the best submitted results on both directions of English-Spanish.
CITATION STYLE
Saunders, D., Stahlberg, F., & Byrne, B. (2019). UCAM biomedical translation at WMT19: Transfer learning multi-domain ensembles. In WMT 2019 - 4th Conference on Machine Translation, Proceedings of the Conference (Vol. 3, pp. 169–174). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w19-5421
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