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Class-based n-gram models of natural language
Peter F Brown, Peter V Desouza, Robert L Mercer, Vincent J Della Pietra, and Jenifer C Lai. 1992 · 1992
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Literate programming
Donald E Knuth. 1992 · 1992
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Thomas W Parsons. 1992 · 1992
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Safe type checking in a statically-typed object-oriented programming language
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Distributional clustering of english words
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Distributional clustering of words for text classification
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Comparison of part-of-speech and automatically derived category-based language models for speech recognition
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An improved error model for noisy channel spelling correction
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Classes for fast maximum entropy training
Joshua Goodman. 2001 · 2001
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Combining word-and class-based language models: A comparative study in several languages using automatic and manual word-clustering techniques
Giulio Maltese, P Bravetti, Hubert Crépy, BJ Grainger, M Herzog, and Francisco Palou. 2001 · 2001
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An empirical study of code clone genealogies
Miryung Kim, Vibha Sazawal, David Notkin, and Gail Murphy. 2005 · 2005
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Hierarchical probabilistic neural network language model
Frederic Morin and Yoshua Bengio. 2005 · 2005
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A study of the uniqueness of source code
Mark Gabel and Zhendong Su. 2010 · 2010
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Recurrent neural network based language model
Tomáš Mikolov, Martin Karafiát, Lukáš Burget, Jan Černockỳ, and Sanjeev Khudanpur. 2010 · 2010
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On the naturalness of software
Abram Hindle, Earl T Barr, Zhendong Su, Mark Gabel, and Premkumar Devanbu. 2012 · 2012
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
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A large scale study of programming languages and code quality in github
Baishakhi Ray, Daryl Posnett, Vladimir Filkov, and Premkumar Devanbu. 2014 · 2014
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Code completion with statistical language models
Veselin Raychev, Martin Vechev, and Eran Yahav. 2014 · 2014
Exploring the limits of language modeling
Rafal Jozefowicz, Oriol Vinyals, Mike Schuster, Noam Shazeer, and Yonghui Wu. 2016 · 2016
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Globally coherent text generation with neural checklist models
Chloé Kiddon, Luke Zettlemoyer, and Yejin Choi. 2016 · 2016
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A survey of machine learning for big code and naturalness
Miltiadis Allamanis, Earl T Barr, Premkumar Devanbu, and Charles Sutton. 2017 · 2017
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Counterfactual language model adaptation for suggesting phrases
Kenneth C. Arnold, Kai-Wei Chang, and Adam Kalai. 2017 · 2017
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Gitcproc: a tool for processing and classifying github commits
Casey Casalnuovo, Yagnik Suchak, Baishakhi Ray, and Cindy Rubio-González. 2017 · 2017
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On the localness of software
Zhaopeng Tu, Zhendong Su, and Premkumar Devanbu. 2014 · 2014
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deltableu: A discriminative metric for generation tasks with intrinsically diverse targets
Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, and Bill Dolan. 2015 · 2015
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The uniqueness of changes: Characteristics and applications
Baishakhi Ray, Meiyappan Nagappan, Christian Bird, Nachiappan Nagappan, and Thomas Zimmermann. 2015 · 2015
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Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly. 2015 · 2015
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Incorporating copying mechanism in sequence-to-sequence learning
Jiatao Gu, Zhengdong Lu, Hang Li, and Victor O. K. Li. 2016 · 2016
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On the naturalness of software
Abram Hindle, Earl T. Barr, Mark Gabel, Zhendong Su, and Premkumar Devanbu. 2016 · 2016
Cited alongside, same era.
Some from here, some from there: cross-project code reuse in github
Mohammad Gharehyazie, Baishakhi Ray, and Vladimir Filkov. 2017 · 2017
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Are deep neural networks the best choice for modeling source code?
Vincent J. Hellendoorn and Premkumar Devanbu. 2017 · 2017
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Dynamic entity representations in neural language models
Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, and Noah A Smith. 2017 · 2017
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Regularizing and Optimizing LSTM Language Models
Stephen Merity, Nitish Shirish Keskar, and Richard Socher. 2017 · 2017
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Abstract syntax networks for code generation and semantic parsing
Maxim Rabinovich, Mitchell Stern, and Dan Klein. 2017 · 2017
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Challenges in data-to-document generation
Sam Wiseman, Stuart M. Shieber, and Alexander M. Rush. 2017 · 2017
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A syntactic neural model for general-purpose code generation
Pengcheng Yin and Graham Neubig. 2017 · 2017
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