Attentional Encoder-Decoder

Neural machine translation has recently achieved impressive results, while using little in the way of external linguistic in- formation. In this paper we show that the strong learning capability of …...

This paper describes the neural machine translation systems of the University of Latvia, University of Zurich and Univer- sity of Tartu. We participated in the WMT 2017 shared task on …...

This paper describes the NICT-NAIST system for the WMT 2017 shared multi- modal machine translation task for both language pairs, English-to-German and English-to-French. We built a hierarchical phrase-based (Hiero) translation …...

Memory-augmented neural networks (MANNs) have been shown to outper- form other recurrent neural network architectures on a series of artificial sequence learning tasks, yet they have had limited application to …...

AbstractUnsupervised style transfer models are mainly based on an inductive learning approach, which represents the style as embeddings, decoder parameters, or discriminator parameters and directly applies these general rules to …...