(Specifically I developed the system using an open source neural network tool called OpenNMT. The exact network model I used was a 2-layer long short-term memory (LSTM) that had 500 hidden units on ...

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.

The first of these technologies is a translation model architecture — a hybrid architecture consisting of a Transformer encoder and a recurrent neural network (RNN) decoder implemented in Lingvo ...

The encoder and decoder in the context-aware NMT method ... This indicates that it may be possible to improve the translation quality by using the machine-translation output as context ...