@inproceedings{hieber-etal-2020-sockeye,
title = "Sockeye 2: A Toolkit for Neural Machine Translation",
author = "Hieber, Felix and
Domhan, Tobias and
Denkowski, Michael and
Vilar, David",
booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
month = nov,
year = "2020",
address = "Lisboa, Portugal",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2020.eamt-1.50",
pages = "457--458",
abstract = "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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<abstract>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.</abstract>
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%0 Conference Proceedings
%T Sockeye 2: A Toolkit for Neural Machine Translation
%A Hieber, Felix
%A Domhan, Tobias
%A Denkowski, Michael
%A Vilar, David
%S Proceedings of the 22nd Annual Conference of the European Association for Machine Translation
%D 2020
%8 nov
%I European Association for Machine Translation
%C Lisboa, Portugal
%F hieber-etal-2020-sockeye
%X 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.
%U https://aclanthology.org/2020.eamt-1.50
%P 457-458
Markdown (Informal)
[Sockeye 2: A Toolkit for Neural Machine Translation](https://aclanthology.org/2020.eamt-1.50) (Hieber et al., EAMT 2020)
ACL
- Felix Hieber, Tobias Domhan, Michael Denkowski, and David Vilar. 2020. Sockeye 2: A Toolkit for Neural Machine Translation. In Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, pages 457–458, Lisboa, Portugal. European Association for Machine Translation.