687 citations · 990 across the 16 of their papers we have counts for
3 papers · 2 filters
Scaling Neural Machine Translation
Myle Ott, Sergey Edunov, David Grangier +1
Sequence to sequence learning models still require several days to reach state of the art performance on large benchmark datasets using a single machine. This paper shows that redu…
Phrase-Based & Neural Unsupervised Machine Translation
Guillaume Lample, Myle Ott, Alexis Conneau +2
Machine translation systems achieve near human-level performance on some languages, yet their effectiveness strongly relies on the availability of large amounts of parallel sentenc…
Analyzing Uncertainty in Neural Machine Translation
Myle Ott, Michael Auli, David Grangier +1
Machine translation is a popular test bed for research in neural sequence-to-sequence models but despite much recent research, there is still a lack of understanding of these model…