Neural Machine Translation Recent advances in neural machine translation (NMT) (Bahdanau et al., 2014;Devlin et al., 2014) using the framework of sequence to sequence learning (Sutskever et al., 2014) have demonstrated the effectiveness of deep learning models at capturing and translating language semantics.
recurrent neural networks augmented with attention mechanisms (Luong et al., 2015) have proved to be successful at handling very long sequences.