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UCAM Biomedical translation at WMT19: Transfer learning multi-domain ensembles (1906.05786v1)

Published 13 Jun 2019 in cs.CL

Abstract: 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.

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Authors (3)
  1. Danielle Saunders (16 papers)
  2. Felix Stahlberg (31 papers)
  3. Bill Byrne (57 papers)
Citations (14)

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