75 citations · 214 across the 27 of their papers we have counts for
4 papers · 1 filter
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices
Felix Stahlberg, Adrià de Gispert, Eva Hasler +1
We present a novel scheme to combine neural machine translation (NMT) with traditional statistical machine translation (SMT). Our approach borrows ideas from linearised lattice min…
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16
Felix Stahlberg, Eva Hasler, Bill Byrne
This paper presents the University of Cambridge submission to WMT16. Motivated by the complementary nature of syntactical machine translation and neural machine translation (NMT),…
Syntactically Guided Neural Machine Translation
Felix Stahlberg, Eva Hasler, Aurelien Waite +1
We investigate the use of hierarchical phrase-based SMT lattices in end-to-end neural machine translation (NMT). Weight pushing transforms the Hiero scores for complete translation…
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization
Daniel Beck, Adrià de Gispert, Gonzalo Iglesias +2
We address the problem of automatically finding the parameters of a statistical machine translation system that maximize BLEU scores while ensuring that decoding speed exceeds a mi…