106 citations · 785 across the 59 of their papers we have counts for
4 papers · 1 filter
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs
Rico Sennrich
Analysing translation quality in regards to specific linguistic phenomena has historically been difficult and time-consuming. Neural machine translation has the attractive property…
Linguistic Input Features Improve Neural Machine Translation
Rico Sennrich, Barry Haddow
Neural machine translation has recently achieved impressive results, while using little in the way of external linguistic information. In this paper we show that the strong learnin…
Edinburgh Neural Machine Translation Systems for WMT 16
Rico Sennrich, Barry Haddow, Alexandra Birch
We participated in the WMT 2016 shared news translation task by building neural translation systems for four language pairs, each trained in both directions: English<->Czech, Engli…
The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMT
Marcin Junczys-Dowmunt, Tomasz Dwojak, Rico Sennrich
This paper describes the AMU-UEDIN submissions to the WMT 2016 shared task on news translation. We explore methods of decode-time integration of attention-based neural translation…