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The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020
August 11, 2020 ยท Declared Dead ยท ๐ Conference of the Association for Machine Translation in the Americas
"No code URL or promise found in abstract"
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Authors
Tobias Domhan, Michael Denkowski, David Vilar, Xing Niu, Felix Hieber, Kenneth Heafield
arXiv ID
2008.04885
Category
cs.CL: Computation & Language
Citations
53
Venue
Conference of the Association for Machine Translation in the Americas
Last Checked
3 months ago
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, distributed mixed precision training, and efficient CPU decoding with 8-bit quantization. These improvements result in faster training and inference, higher automatic metric scores, and a shorter path from research to production.
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