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.- Anthology ID:
- 2020.eamt-1.50
- Volume:
- Proceedings of the 22nd Annual Conference of the European Association for Machine Translation
- Month:
- November
- Year:
- 2020
- Address:
- Lisboa, Portugal
- Editors:
- André Martins, Helena Moniz, Sara Fumega, Bruno Martins, Fernando Batista, Luisa Coheur, Carla Parra, Isabel Trancoso, Marco Turchi, Arianna Bisazza, Joss Moorkens, Ana Guerberof, Mary Nurminen, Lena Marg, Mikel L. Forcada
- Venue:
- EAMT
- SIG:
- Publisher:
- European Association for Machine Translation
- Note:
- Pages:
- 457–458
- Language:
- URL:
- https://aclanthology.org/2020.eamt-1.50
- DOI:
- Bibkey:
- Cite (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.
- Cite (Informal):
- Sockeye 2: A Toolkit for Neural Machine Translation (Hieber et al., EAMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.eamt-1.50.pdf
- Code
- awslabs/sockeye
Export citation
@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",
editor = "Martins, Andr{\'e} and
Moniz, Helena and
Fumega, Sara and
Martins, Bruno and
Batista, Fernando and
Coheur, Luisa and
Parra, Carla and
Trancoso, Isabel and
Turchi, Marco and
Bisazza, Arianna and
Moorkens, Joss and
Guerberof, Ana and
Nurminen, Mary and
Marg, Lena and
Forcada, Mikel L.",
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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%0 Conference Proceedings %T Sockeye 2: A Toolkit for Neural Machine Translation %A Hieber, Felix %A Domhan, Tobias %A Denkowski, Michael %A Vilar, David %Y Martins, André %Y Moniz, Helena %Y Fumega, Sara %Y Martins, Bruno %Y Batista, Fernando %Y Coheur, Luisa %Y Parra, Carla %Y Trancoso, Isabel %Y Turchi, Marco %Y Bisazza, Arianna %Y Moorkens, Joss %Y Guerberof, Ana %Y Nurminen, Mary %Y Marg, Lena %Y Forcada, Mikel L. %S Proceedings of the 22nd Annual Conference of the European Association for Machine Translation %D 2020 %8 November %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)
- Sockeye 2: A Toolkit for Neural Machine Translation (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.