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

3 Jun 2014Kyunghyun ChoBart van MerrienboerCaglar GulcehreDzmitry BahdanauFethi BougaresHolger SchwenkYoshua Bengio

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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Evaluation results from the paper

Task Dataset Model Metric name Metric value Global rank Compare
Machine Translation WMT2014 English-French CSLM + RNN + WP BLEU score 34.54 # 23