The University of Cambridge's Machine Translation Systems for WMT18
Published version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Abstract
The University of Cambridge submission to the WMT18 news translation task focuses on the combination of diverse models of translation. We compare recurrent, convolutional, and self-attention-based neural models on German-English, English-German, and Chinese-English. Our final system combines all neural models together with a phrase-based SMT system in an MBR-based scheme. We report small but consistent gains on top of strong Transformer ensembles.
Description
Keywords
cs.CL, cs.CL
Journal Title
Proceedings of the Third Conference on Machine Translation: Shared Task Papers
Conference Name
Proceedings of the Third Conference on Machine Translation: Shared Task Papers
Journal ISSN
Volume Title
Publisher
Association for Computational Linguistics
Publisher DOI
Sponsorship
EPSRC (1632937)
Engineering and Physical Sciences Research Council (EP/L027623/1)
Engineering and Physical Sciences Research Council (EP/L027623/1)