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Neural machine translation represents an exciting leap forward in translation quality.
Stylistique comparée du français et de l’anglais
Jean-Paul Vinay and Jean Darbelnet. 1958 · 1958
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Machine translation divergences: a formal description and proposed solution
Bonnie J. Dorr. 1994 · 1994
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Forest rescoring: Faster decoding with integrated language models
Liang Huang and David Chiang. 2007 · 2007
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A simple and effective hierarchical phrase reordering model
Michel Galley and Christopher D. Manning. 2008 · 2008
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Batch tuning strategies for statistical machine translation
Colin Cherry and George Foster. 2012 · 2012
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ADADELTA: an adaptive learning rate method
Matthew D. Zeiler. 2012 · 2012
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Improved reordering for phrase-based translation using sparse features
Colin Cherry. 2013 · 2013
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Recurrent continuous translation models
Nal Kalchbrenner and Phil Blunsom. 2013 · 2013
Cited alongside, same era.
Learning phrase representations using rnn encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Fast and robust neural network joint models for statistical machine translation
Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard Schwartz, and John Makhoul. 2014 · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
Findings of the 2016 conference on machine translation
Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Aurelie Neveol, Mariana Neves, Martin Popel, Matt Post, Raphael Rubino, Carolina Scarton, Lucia Specia, Marco Turchi, Karin Verspoor, and Marcos Zampieri. 2016 · 2016
Later among the works it cites.
QCRI machine translation systems for IWSLT 16
Nadir Durrani, Fahim Dalvi, Hassan Sajjad, and Stephan Vogel. 2016 · 2016
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Rico Sennrich. 2016 · 2016
Later among the works it cites.
Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
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Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Cited alongside, same era.
Neural versus phrase-based machine translation quality: a case study
Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo, and Marcello Federico. 2016 · 2016
Cited alongside, same era.
Is neural machine translation ready for deployment? a case study on 30 translation directions
Marcin Junczys-Dowmunt, Tomasz Dwojak, and Hieu Hoang. 2016a
Cited in the paper.
The amu-uedin submission to the wmt16 news translation task: Attention-based nmt models as feature functions in phrase-based smt
Marcin Junczys-Dowmunt, Tomasz Dwojak, and Rico Sennrich. 2016b
Cited in the paper.
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2016 · 2016
Later among the works it cites.
A multifaceted evaluation of neural versus statistical machine translation for 9 language directions
Antonio Toral and Víctor M. Sánchez-Cartagena. 2017 · 2017
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Using test suites in evaluation of machine translation systems
Margaret King and Kirsten Falkedal. 1990 · 2037
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