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Existing approaches to neural machine translation condition each output word on previously generated outputs.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald Williams · 1992
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The mathematics of statistical machine translation: Parameter estimation
Peter Brown, Vincent della Pietra, Stephen della Pietra, and Robert Mercer · 1993
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BLEU: A method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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Planning in sentence production: Evidence for the phrase as a default planning scope
Randi Martin, Jason Crowther, Meredith Knight, Franklin Tamborello, and Chin-Lung Yang · 2010
Earlier work this paper cites.
A simple, fast, and effective reparameterization of IBM Model 2
Chris Dyer, Victor Chahuneau, and Noah Smith · 2013
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quôc Lê · 2014
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2015
Cited alongside, same era.
Effective approaches to attention-based neural machine translation
Minh-Thang Luong, Hieu Pham, and Christopher D Manning · 2015
Cited alongside, same era.
Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2015
Cited alongside, same era.
Noisy parallel approximate decoding for conditional recurrent language model
Kyunghyun Cho · 2016
Cited alongside, same era.
Neural machine translation in linear time
Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aaron van den Oord, Alex Graves, and Koray Kavukçuoǧlu · 2016
Cited alongside, same era.
Google’s neural machine translation system: Bridging the gap between human and machine translation
Y. Wu, M. Schuster, Z. Chen, Q. V. Le, M. Norouzi, W. Macherey, M. Krikun, Y. Cao, Q. Gao, K. Macherey, J. Klingner, A. Shah, M. Johnson, X. Liu, Ł. Kaiser, S. Gouws, Y. Kato, T. Kudo, H. Kazawa, K. Stevens, G. Kurian, N. Patil, W. Wang, C. Young, J. Smith, J. Riesa, A. Rudnick, O. Vinyals, G. Corrado, M. Hughes, and J. Dean · 2016
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Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann Dauphin · 2017
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Depthwise separable convolutions for neural machine translation
Łukasz Kaiser, Aidan Gomez, and François Chollet · 2017
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Six challenges for neural machine translation
Philipp Koehn and Rebecca Knowles · 2017
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Sequence-level knowledge distillation
Yoon Kim and Alexander Rush · 2016
Cited alongside, same era.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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