3 citations · 4 across the 7 of their papers we have counts for
3 papers · 1 filter
An Operation Sequence Model for Explainable Neural Machine Translation
Felix Stahlberg, Danielle Saunders, Bill Byrne
We propose to achieve explainable neural machine translation (NMT) by changing the output representation to explain itself. We present a novel approach to NMT which generates the t…
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…
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation
Felix Stahlberg, Danielle Saunders, Gonzalo Iglesias +1
SGNMT is a decoding platform for machine translation which allows paring various modern neural models of translation with different kinds of constraints and symbolic models. In thi…