Graham Neubig - Google Scholar Citations

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Citations	5242	4661
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Co-authors

Satoshi NakamuraNara Institute of Science and TechnologyVerified email at is.naist.jp
Sakriani SaktiProject Associate Professor of Nara Institutes of Science and TechnologyVerified email at is.naist.jp
Tomoki TodaNagoya UniversityVerified email at icts.nagoya-u.ac.jp
Pengcheng YinCarnegie Mellon UniversityVerified email at cs.cmu.edu
Antonis AnastasopoulosCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Kevin DuhJohns Hopkins UniversityVerified email at cs.jhu.edu
Yusuke ODASoftware Engineer, GoogleVerified email at google.com
Tatsuya KawaharaProfessor, School of Informatics, Kyoto UniversityVerified email at i.kyoto-u.ac.jp
Shinnosuke TakamichiUniversity of TokyoVerified email at ipc.i.u-tokyo.ac.jp
Chris DyerDeepMind, Carnegie MellonVerified email at google.com
Matthias SperberAppleVerified email at apple.com
Trevor CohnSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Paul MichelPhD Student, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Eiichiro SUMITANICT (National Institute of Information and Communications Technology)Verified email at nict.go.jp
Philip ArthurMonash UniversityVerified email at monash.edu
Koichiro YoshinoGraduate School of Information Scitence, NAISTVerified email at is.naist.jp
Katsuhito SudohNara Institute of Science and Technology (NAIST)Verified email at sudoh.nl
Eduard HovyCarnegie Mellon UniversityVerified email at cmu.edu
Lasguido NioRakuten Institute of TechnologyVerified email at rakuten.com
Kazuhiro KobayashiNagoya UniversityVerified email at g.sp.m.is.nagoya-u.ac.jp

Graham Neubig

Assistant Professor of Computer Science, Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Natural Language Processing Machine Learning


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Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017	259*	2017
Pointwise prediction for robust, adaptable Japanese morphological analysis G Neubig, Y Nakata, S Mori ACL 2011, 529-533, 2011	218	2011
A Syntactic Neural Model for General-Purpose Code Generation P Yin, G Neubig ACL 2017, 2017	181	2017
Learning to generate pseudo-code from source code using statistical machine translation (t) Y Oda, H Fudaba, G Neubig, H Hata, S Sakti, T Toda, S Nakamura ASE 2015, 574-584, 2015	118	2015
Incorporating discrete translation lexicons into neural machine translation P Arthur, G Neubig, S Nakamura EMNLP 2016, 2016	97	2016
Neural machine translation and sequence-to-sequence models: A tutorial G Neubig arXiv preprint arXiv:1703.01619, 2017	91	2017
An unsupervised model for joint phrase alignment and extraction G Neubig, T Watanabe, E Sumita, S Mori, T Kawahara ACL 2011, 632-641, 2011	91	2011
Morphological inflection generation using character sequence to sequence learning M Faruqui, Y Tsvetkov, G Neubig, C Dyer NAACL 2016, 2016	86	2016
Safety Information Mining—What can NLP do in a disaster— G Neubig, M Hagiwara, K Murakami, Y Matsubayashi IJCNLP 2011, 2011	80	2011
Adaptation data selection using neural language models: Experiments in machine translation K Duh, G Neubig, K Sudoh, H Tsukada ACL 2013 2, 678-683, 2013	79	2013
Controlling output length in neural encoder-decoders Y Kikuchi, G Neubig, R Sasano, H Takamura, M Okumura EMNLP 2016, 2016	77	2016
What Do Recurrent Neural Network Grammars Learn About Syntax? A Kuncoro, M Ballesteros, L Kong, C Dyer, G Neubig, NA Smith EACL 2017, 2017	76*	2017
When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation? Y Qi, DS Sachan, M Felix, SJ Padmanabhan, G Neubig NAACL 2018, 2018	71	2018
Controllable Invariance through Adversarial Feature Learning Q Xie, Z Dai, Y Du, E Hovy, G Neubig NIPS 2017, 2017	70*	2017
Stronger Baselines for Trustable Results in Neural Machine Translation M Denkowski, G Neubig WNMT 2017, 2017	68	2017
Travatar: A forest-to-string machine translation engine based on tree transducers G Neubig ACL 2013, 91-96, 2013	67	2013
A POSTFILTER TO MODIFY THE MODULATION SPECTRUM IN HMM-BASED SPEECH SYNTHESIS S Takamichi, T Toda, G Neubig, S Sakti, S Nakamura ICASSP 2014, 2014	66	2014
Postfilters to modify the modulation spectrum for statistical parametric speech synthesis S Takamichi, T Toda, AW Black, G Neubig, S Sakti, S Nakamura TASLP 2016 24 (4), 755-767, 2016	65	2016
Inducing a Discriminative Parser to Optimize Machine Translation Reordering G Neubig, T Watanabe, S Mori EMNLP 2012, 2012	61	2012
The Kyoto free translation task G Neubig	58	2011

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