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Recent advances in Neural Machine Translation (NMT) show that adding syntactic information to NMT systems can improve the quality of their translations.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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What’s in a translation rule?
Michel Galley, Mark Hopkins, Kevin Knight, and Daniel Marcu. 2004 · 2004
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Scalable inference and training of context-rich syntactic translation models
Michel Galley, Jonathan Graehl, Kevin Knight, Daniel Marcu, Steve DeNeefe, Wei Wang, and Ignacio Thayer. 2006 · 2006
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Generating typed dependency parses from phrase structure parses
Marie-Catherine de Marneffe, Bill MacCartney, and Christopher D. Manning. 2006 · 2006
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Learning accurate, compact, and interpretable tree annotation
Slav Petrov, Leon Barrett, Romain Thibaux, and Dan Klein. 2006 · 2006
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Using dependency order templates to improve generality in translation
Arul Menezes and Chris Quirk. 2007 · 2007
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Improved inference for unlexicalized parsing
Slav Petrov and Dan Klein. 2007 · 2007
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The Kyoto free translation task
Graham Neubig. 2011 · 2011
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Recurrent continuous translation models
Nal Kalchbrenner and Phil Blunsom. 2013 · 2013
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A fast and accurate dependency parser using neural networks
Danqi Chen and Christopher D. Manning. 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
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Cited alongside, same era.
Effective approaches to attention-based neural machine translation
Minh-Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
Cited alongside, same era.
Ckylark: A more robust pcfg-la parser
Yusuke Oda, Graham Neubig, Sakriani Sakti, Tomoki Toda, and Satoshi Nakamura. 2015 · 2015
Cited alongside, same era.
The iwslt 2016 evaluation campaign
M. Cettolo, J. Niehues, S. Stuker, L. Bentivogli, R. Cattoni, and M. Federico. 2016 · 2016
Cited alongside, same era.
Does string-based neural mt learn source syntax?
Xing Shi, Inkit Padhi, and Kevin Knight. 2016 · 2016
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Towards string-to-tree neural machine translation
Roee Aharoni and Yoav Goldberg. 2017 · 2017
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Tree-structured decoding with doubly recurrent neural network
David Alvarez-Melis and Tommi S. Jaakkola. 2017 · 2017
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Improved neural machine translation with a syntax-aware encoder and decoder
Huadong Chen, Shujian Huang, David Chiang, and Jiajun Chen. 2017 · 2017
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Learning to parse and translate improves neural machine translation
Akiko Eriguchi, Yoshimasa Tsuruoka, and Kyunghyun Cho. 2017 · 2017
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Modeling source syntax for neural machine translation
Junhui Li, Xiong Deyi, Zhaopeng Tu, Muhua Zhu, Min Zhang, and Guodong Zhou. 2017 · 2017
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Recurrent neural network grammars
Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, and Noah A. Smith. 2016 · 2016
Cited alongside, same era.
Tree-to-sequence attentional neural machine translation
Akiko Eriguchi, Kazuma Hashimoto, and Yoshimasa Tsuruoka. 2016 · 2016
Cited alongside, same era.
Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Cited alongside, same era.
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Predicting target language CCG supertags improves neural machine translation
Maria Nadejde, Siva Reddy, Rico Sennrich, Tomasz Dwojak, Marcin Junczys-Dowmunt, Philipp Koehn, and Alexandra Birch. 2017 · 2017
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Sequence-to-dependency neural machine translation
Shuangzhi Wu, Dongdong Zhang, Nan Yang, Mu Li, and Ming Zhou. 2017 · 2017
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A syntactic neural model for general-purpose code generation
Pengcheng Yin and Graham Neubig. 2017 · 2017
Later among the works it cites.