Non-Autoregressive Machine Translation: It's Not as Fast as it Seems. (arXiv:2205.01966v1 [cs.CL])

Efficient machine translation models are commercially important as they can
increase inference speeds, and reduce costs and carbon emissions. Recently,
there has been much interest in non-autoregressive (NAR) models, which promise
faster translation. In parallel to the research on NAR models, there have been
successful attempts to create optimized autoregressive models as part of the
WMT shared task on efficient translation. In this paper, we point out flaws in
the evaluation methodology present in the literature on NAR models and …

arxiv machine machine translation translation