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

Yonghui WuMike SchusterZhifeng ChenQuoc V. LeMohammad NorouziWolfgang MachereyMaxim KrikunYuan CaoQin GaoKlaus MachereyJeff KlingnerApurva ShahMelvin JohnsonXiaobing LiuŁukasz KaiserStephan GouwsYoshikiyo KatoTaku KudoHideto KazawaKeith StevensGeorge KurianNishant PatilWei WangCliff YoungJason SmithJason RiesaAlex RudnickOriol VinyalsGreg CorradoMacduff HughesJeffrey Dean

   Papers with code   Abstract  PDF

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 translation systems. Unfortunately, NMT systems are known to be computationally expensive both in training and in translation inference... (read more)

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