publication . Conference object . Other literature type . 2014

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

Cho, Kyunghyun; van Merrienboer, Bart; Gulcehre, Caglar; Bahdanau, Dzmitry; Bougares, Fethi; Schwenk, Holger; Bengio, Yoshua;
Open Access
  • Published: 01 Jan 2014
  • Publisher: Association for Computational Linguistics
Abstract
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 fixedlength vector representation, and the other decodes the representation into another sequence of symbols. The encoder and decoder of the proposed model are jointly trained to maximize the conditional probability of a target sequence given a source sequence. The performance of a statistical machine translation system is empirically found to improve by using the conditional probabilities of phrase pairs computed by the RNN Encoder‐Decoder as an additional feature in the existing lo...
Subjects
arXiv: Computer Science::Neural and Evolutionary Computation
ACM Computing Classification System: Data_CODINGANDINFORMATIONTHEORY
free text keywords: Artificial neural network, Encoder, Conditional probability, Encoder decoder, Artificial intelligence, business.industry, business, Computer science, Recurrent neural network, Phrase, Machine learning, computer.software_genre, computer, Decodes, biology.organism_classification, biology, Pattern recognition, Natural language processing, Machine translation
Communities
Digital Humanities and Cultural Heritage
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publication . Conference object . Other literature type . 2014

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

Cho, Kyunghyun; van Merrienboer, Bart; Gulcehre, Caglar; Bahdanau, Dzmitry; Bougares, Fethi; Schwenk, Holger; Bengio, Yoshua;