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 hopes to change that with the introduction of a new neural machine translation ... using residual connections as well as attention connections from the decoder network to the encoder.

(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 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 ...

A new publication from Opto-Electronic Advances, 10.29026/oea.2023.220148 discusses the direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder ...