The University of Cambridge’s Machine Translation Systems for WMT18
Felix Stahlberg, Adrià de Gispert, Bill Byrne · 2018
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.