Google announces Neural Machine Translation to improve Google Translate
   The Google Neural Machine Translation system 'surpasses' the results of
   all other machine-translation solutions currently available, with GNMT
   now being used for Chinese-to-English translations.
   Google has announced a neural machine translation (NMT) system that it
   says will reduce translation errors across its Google Translate service
   translation until now.
   with the use of Phrase-Based Machine Translation as the key algorithm
   "Today, we announce the Google Neural Machine Translation system
   the largest improvements to date for machine translation quality."
   Unlike the currently used phrase-based machine translation (PBMT)
   sentence, and is notorious for its mistranslations -- neural machine
   translation considers the entire sentence as one unit to be translated.
   Researchers have been working on improving neural machine translation
   Google's Neural Machine Translation System: Bridging the Gap between
   Human and Machine Translation [PDF], by Quoc Le, Mike Schuster, Yonghui
   of the art" for English-to-French and English-to-German translations in
   "To accelerate the final translation speed, we employ low-precision
   efficiency of 'word'-delimited models, naturally handles translation of
   google-neural-machine-translation-system-2.png (Image: Google)
   produces translations that are vastly improved compared to the previous
   and mobile for the Chinese-to-English translation pair, accounting for
   around 18 million translations daily. It will roll out GNMT with more
   google-neural-machine-translation-system.png
   google-neural-machine-translation-system.png (Image: Google)
   translation quality and inference speed; that a combination of model
   quantization drastically accelerates translation inference, allowing