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Deep learning takes on translation

Published:24 May 2017Publication History
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Abstract

Improvements in hardware, the availability of massive amounts of data, and algorithmic upgrades are among the factors supporting better machine translation.

References

  1. Byrne, M. This DARPA Video Targeting AI Hype Is Necessary Viewing, Motherboard, https://motherboard.vice.com/en_us/article/this-darpa-video-targeting-ai-hype-isnecessary-viewingGoogle ScholarGoogle Scholar
  2. A Neural Network for Machine Translation, at Production Scale, Google Research Blog, https://research.Googleblog.com/2016/09/a-neural-network-for-machine.htmlGoogle ScholarGoogle Scholar
  3. Zero-Shot Translation with Google's Multilingual Neural Machine Translation System, Google Research Blog, http://bit.ly/2nc469zGoogle ScholarGoogle Scholar

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  1. Deep learning takes on translation

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    • Published in

      cover image Communications of the ACM
      Communications of the ACM  Volume 60, Issue 6
      June 2017
      93 pages
      ISSN:0001-0782
      EISSN:1557-7317
      DOI:10.1145/3098997
      • Editor:
      • Moshe Y. Vardi
      Issue’s Table of Contents

      Copyright © 2017 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 24 May 2017

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