Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Kyunghyun ChoBart van MerrienboerCaglar GulcehreDzmitry BahdanauFethi BougaresHolger SchwenkYoshua Bengio

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In this paper, we propose a novel neural network model called RNN Encoder-Decoder that consists of two recurrent neural networks (RNN). One RNN encodes a sequence of symbols into a fixed-length vector representation, and the other decodes the representation into another sequence of symbols... (read more)

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