Papers › Sockeye 2: A Toolkit for Neural Machine Translation
Sockeye 2: A Toolkit for Neural Machine Translation
Felix Hieber, Tobias Domhan, Michael Denkowski, David Vilar
We present Sockeye 2, a modernized and streamlined version of the Sockeye neural machine translation (NMT) toolkit. New features include a simplified code base through the use of MXNet’s Gluon API, a focus on state of the art model architectures, and distributed mixed precision training. These improvements result in faster training and inference, higher automatic metric scores, and a shorter path from research to production.
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