293 citations · 846 across the 22 of their papers we have counts for
3 papers · 1 filter
Can Multilinguality benefit Non-autoregressive Machine Translation?
Sweta Agrawal, Julia Kreutzer, Colin Cherry
Non-autoregressive (NAR) machine translation has recently achieved significant improvements, and now outperforms autoregressive (AR) models on some benchmarks, providing an efficie…
Scaling Laws for Neural Machine Translation
Behrooz Ghorbani, Orhan Firat, Markus Freitag +5
We present an empirical study of scaling properties of encoder-decoder Transformer models used in neural machine translation (NMT). We show that cross-entropy loss as a function of…
Assessing Reference-Free Peer Evaluation for Machine Translation
Sweta Agrawal, George Foster, Markus Freitag +1
Reference-free evaluation has the potential to make machine translation evaluation substantially more scalable, allowing us to pivot easily to new languages or domains. It has been…