6 citations · 14 across the 16 of their papers we have counts for
4 papers · 2 filters
The University of Cambridge's Machine Translation Systems for WMT18
Felix Stahlberg, Adria de Gispert, Bill Byrne
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…
Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT
Danielle Saunders, Felix Stahlberg, Adria de Gispert +1
We explore strategies for incorporating target syntax into Neural Machine Translation. We specifically focus on syntax in ensembles containing multiple sentence representations. We…
Neural Machine Translation Decoding with Terminology Constraints
Eva Hasler, Adrià De Gispert, Gonzalo Iglesias +1
Despite the impressive quality improvements yielded by neural machine translation (NMT) systems, controlling their translation output to adhere to user-provided terminology constra…
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment
Gonzalo Iglesias, William Tambellini, Adrià De Gispert +2
We describe a batched beam decoding algorithm for NMT with LMBR n-gram posteriors, showing that LMBR techniques still yield gains on top of the best recently reported results with…