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20162022
most citedGoogle's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

5.7k citations · 5.8k across the 5 of their papers we have counts for

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Showing 2016Show all

2 papers · 1 filter

cs.CL2016★ 109 cited

Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

Melvin Johnson, Mike Schuster, Quoc V. Le +9

We propose a simple solution to use a single Neural Machine Translation (NMT) model to translate between multiple languages. Our solution requires no change in the model architectu…

cs.CL2016★ 5.7k cited

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Yonghui Wu, Mike Schuster, Zhifeng Chen +28

Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, with the potential to overcome many of the weaknesses of conventional phrase-based tr…