Google Neural Machine Translation System

A Google Neural Machine Translation System is a neural machine translation system produced by Google Translate.

• AKA: GNMT.
• See: Parsey McParseface, Machine Translation System.

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References

2016b

• https://blog.google/products/translate/found-translation-more-accurate-fluent-sentences-google-translate/
  • QUOTE: … At a high level, the Neural system translates whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar. Since it’s easier to understand each sentence, translated paragraphs and articles are a lot smoother and easier to read. And this is all possible because of end-to-end learning system built on Neural Machine Translation, which basically means that the system learns over time to create better, more natural translations. …

2016a

• (Wu et al., 2016) ⇒ Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Łukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, Jeffrey Dean. (2016). “Google's Neural Machine Translation System: Bridging the Gap Between Human and Machine Translation.” arXiv preprint arXiv:1609.08144

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