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Although neural machine translation has made significant progress recently, how to integrate multiple overlapping, arbitrary prior knowledge sources remains a challenge.
Knowledge-based machine translation
Sergei Nirenburg. 1989 · 1989
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The mathematics of statistical machine translation: Parameter estimation
Peter F. Brown, Stephen A. Della Pietra, Vincent J. Della Pietra, and Robert L. Mercer. 1993 · 1993
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Discriminative training and maximum entropy models for statistical machine translation
Franz J. Och and Hermann Ney. 2002 · 2002
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Statistical phrase-based translation
Philipp Koehn, Franz J. Och, and Daniel Marcu. 2003 · 2003
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A hirarchical phrase-based model for statistical machine translation
David Chiang. 2005 · 2005
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Factored translation models
Philipp Koehn and Hieu Hoang. 2007 · 2007
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Posterior regularization for structured latent variable models
Kuzman Ganchev, João Graça, Jennifer Gillenwater, and Ben Taskar. 2010 · 2010
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Adadelta: an adaptive learning rate method
Matthew D. Zeiler. 2012 · 2012
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Learning phrase representations using rnn encoder–decoder for statistical machine translation
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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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Incorporating discrete translation lexicons into neural machine translation
Philip Arthur, Graham Neubug, and Satoshi Nakamura. 2016 · 2016
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Improved nerual machine translation with SMT features
Wei He, Zhongjun He, Hua Wu, and Haifeng Wang. 2016 · 2016
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Is neural machine translation ready for deployment? a case study on 30 translation directions
Marcin Junczys-Dowmunt, Tomasz Dwojak, and Hieu Hoang. 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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Minimum risk training for neural machine translation
Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu. 2016 · 2016
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Neural machine translation with external phrase memory
Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, and Philip L. H. Yu. 2016 · 2016
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Agreement-based learning of parallel lexicons and phrases from non-parallel corpora
Yong Cheng, Shiqi Shen, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu. 2016 · 2016
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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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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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Modeling coverage for neural machine translation
Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, and Hang Li. 2016 · 2016
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Neural machine translation advised by statistical machine translation
Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, and Min Zhang. 2016 · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
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
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