Google recently published the paper “Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation”: https://arxiv.org/abs/1609.08144. As I got a lot of questions about this paper I wanted to explain what they do to get neural machine translation closer to human translation than they could with phrase based translation.
Interesting things to read after watching the video are:
– Their blogpost: https://research.googleblog.com/2016/09/a-neural-network-for-machine.html
– Their paper: https://arxiv.org/abs/1609.08144
The video can be found here:
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