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Most neural machine translation (NMT) models are based on the sequential encoder-decoder framework, which makes no use of syntactic information.
A syntax-based statistical translation model
Kenji Yamada and Kevin Knight. 2001 · 2001
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Phrasal cohesion and statistical machine translation
Heidi J. Fox. 2002 · 2002
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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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Statistical phrase-based translation
Philipp Koehn, Franz Josef Och, and Daniel Marcu. 2003 · 2003
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The penn chinese treebank: Phrase structure annotation of a large corpus
Naiwen Xue, Fei Xia, Fu-dong Chiou, and Marta Palmer. 2005 · 2005
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Tree-to-string alignment template for statistical machine translation
Yang Liu, Qun Liu, and Shouxun Lin. 2006 · 2006
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Hierarchical phrase-based translation
David Chiang. 2007 · 2007
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Improved inference for unlexicalized parsing
Slav Petrov and Dan Klein. 2007 · 2007
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Transition-based parsing of the Chinese Treebank using a global discriminative model
Yue Zhang and Stephen Clark. 2009 · 2009
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ADADELTA: an adaptive learning rate method
Matthew D. Zeiler. 2012 · 2012
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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When are tree structures necessary for deep learning of representations?
Jiwei Li, Thang Luong, Dan Jurafsky, and Eduard Hovy. 2015 · 2015
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Improving attention modeling with implicit distortion and fertility for machine translation
Shi Feng, Shujie Liu, Nan Yang, Mu Li, Ming Zhou, and Kenny Q. Zhu. 2016 · 2016
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Coverage embedding models for neural machine translation
Haitao Mi, Baskaran Sankaran, Zhiguo Wang, and Abe Ittycheriah. 2016 · 2016
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Does string-based neural MT learn source syntax?
Xing Shi, Inkit Padhi, and Kevin Knight. 2016 · 2016
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Bidirectional tree-structured LSTM with head lexicalization
Zhiyang Teng and Yue Zhang. 2016 · 2016
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Modeling coverage for neural machine translation
Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, and Hang Li. 2016 · 2016
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Improved semantic representations from tree-structured long short-term memory networks
Kai Sheng Tai, Richard Socher, and Christopher D. Manning. 2015 · 2015
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Incorporating structural alignment biases into an attentional neural translation model
Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer, and Gholamreza Haffari. 2016 · 2016
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Tree-to-sequence attentional neural machine translation
Akiko Eriguchi, Kazuma Hashimoto, and Yoshimasa Tsuruoka. 2016 · 2016
Cited alongside, same era.
On the properties of neural machine translation: Encoder–decoder approaches
Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014a
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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. 2014b
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Yoon Kim, Carl Denton, Luong Hoang, and Alexander M. Rush. 2017 · 2017
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Structural attention neural networks for improved sentiment analysis
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