The University of Cambridge's Machine Translation Systems for WMT18
2018-08-28WS 2018Unverified0· sign in to hype
Felix Stahlberg, Adria de Gispert, Bill Byrne
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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.