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Neural sequence-to-sequence (seq2seq) approaches have proven to be successful in grammatical error correction (GEC).
The cambridge learner corpus: Error coding and analysis for lexicography and elt
Diane Nicholls · 2003
Earlier work this paper cites.
Correcting esl errors using phrasal smt techniques
Chris Brockett, William B Dolan, and Michael Gamon · 2006
Earlier work this paper cites.
Detection of grammatical errors involving prepositions
Martin Chodorow, Joel R Tetreault, and Na-Rae Han · 2007
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A classifier-based approach to preposition and determiner error correction in l2 english
Rachele De Felice and Stephen G Pulman · 2008
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Generrate: generating errors for use in grammatical error detection
Jennifer Foster and Øistein E Andersen · 2009
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Using an error-annotated learner corpus to develop an esl/efl error correction system
Na-Rae Han, Joel R Tetreault, Soo-Hwa Lee, and Jin-Young Ha · 2010
Earlier work this paper cites.
Automated grammatical error detection for language learners
Claudia Leacock, Martin Chodorow, Michael Gamon, and Joel Tetreault · 2010
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Training paradigms for correcting errors in grammar and usage
Alla Rozovskaya and Dan Roth · 2010
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Correcting semantic collocation errors with l1-induced paraphrases
Daniel Dahlmeier and Hwee Tou Ng · 2011
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Helping our own: The hoo 2011 pilot shared task
Robert Dale and Adam Kilgarriff · 2011
Earlier work this paper cites.
They can help: Using crowdsourcing to improve the evaluation of grammatical error detection systems
Nitin Madnani, Joel Tetreault, Martin Chodorow, and Alla Rozovskaya · 2011
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Mining revision log of language learning sns for automated japanese error correction of second language learners
Tomoya Mizumoto, Mamoru Komachi, Masaaki Nagata, and Yuji Matsumoto · 2011
Earlier work this paper cites.
Algorithm selection and model adaptation for esl correction tasks
Alla Rozovskaya and Dan Roth · 2011
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The ui system in the hoo 2012 shared task on error correction
Alla Rozovskaya, Mark Sammons, and Roth Dan · 2012
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Tense and aspect error correction for esl learners using global context
Toshikazu Tajiri, Mamoru Komachi, and Yuji Matsumoto · 2012
Earlier work this paper cites.
Automated grammar correction using hierarchical phrase-based statistical machine translation
Bibek Behera and Pushpak Bhattacharyya · 2013
Earlier work this paper cites.
Building a large annotated corpus of learner english: The nus corpus of learner english
Daniel Dahlmeier, Hwee Tou Ng, and Siew Mei Wu · 2013
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On the importance of initialization and momentum in deep learning
Ilya Sutskever, James Martens, George Dahl, and Geoffrey Hinton · 2013
Earlier work this paper cites.
Naist at 2013 conll grammatical error correction shared task
Ippei Yoshimoto, Tomoya Kose, Kensuke Mitsuzawa, Keisuke Sakaguchi, Tomoya Mizumoto, Yuta Hayashibe, Mamoru Komachi, and Yuji Matsumoto · 2013
Earlier work this paper cites.
Constrained grammatical error correction using statistical machine translation
Zheng Yuan and Mariano Felice · 2013
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
Earlier work this paper cites.
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 · 2014
Cited alongside, same era.
Generating artificial errors for grammatical error correction
Mariano Felice and Zheng Yuan · 2014
Cited alongside, same era.
Grammatical error correction using hybrid systems and type filtering
Mariano Felice, Zheng Yuan, Øistein E Andersen, Helen Yannakoudakis, and Ekaterina Kochmar · 2014
Cited alongside, same era.
The amu system in the conll-2014 shared task: Grammatical error correction by data-intensive and feature-rich statistical machine translation
Marcin Junczys-Dowmunt and Roman Grundkiewicz · 2014
Cited alongside, same era.
The conll-2014 shared task on grammatical error correction
Hwee Tou Ng, Siew Mei Wu, Ted Briscoe, Christian Hadiwinoto, Raymond Hendy Susanto, and Christopher Bryant · 2014
Cited alongside, same era.
Candidate re-ranking for smt-based grammatical error correction
Zheng Yuan, Ted Briscoe, Mariano Felice, Zheng Yuan, Ted Briscoe, and Mariano Felice · 2016
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Reference-based metrics can be replaced with reference-less metrics in evaluating grammatical error correction systems
Hiroki Asano, Tomoya Mizumoto, and Kentaro Inui · 2017
Later among the works it cites.
Automatic annotation and evaluation of error types for grammatical error correction
Christopher Bryant, Mariano Felice, and E Briscoe · 2017
Later among the works it cites.
Connecting the dots: Towards human-level grammatical error correction
Shamil Chollampatt and Hwee Tou Ng · 2017
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Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin · 2017
Later among the works it cites.
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The illinois-columbia system in the conll-2014 shared task
Alla Rozovskaya, Kai-Wei Chang, Mark Sammons, Dan Roth, and Nizar Habash · 2014
Cited alongside, same era.
System combination for grammatical error correction
Raymond Hendy Susanto, Peter Phandi, and Hwee Tou Ng · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le · 2014
Cited alongside, same era.
How far are we from fully automatic high quality grammatical error correction?
Christopher Bryant and Hwee Tou Ng · 2015
Cited alongside, same era.
Ground truth for grammatical error correction metrics
Courtney Napoles, Keisuke Sakaguchi, Matt Post, and Joel Tetreault · 2015
Cited alongside, same era.
Dual learning for machine translation
Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tieyan Liu, and Wei-Ying Ma · 2016
Cited alongside, same era.
Exploiting n-best hypotheses to improve an smt approach to grammatical error correction
Duc Tam Hoang, Shamil Chollampatt, and Hwee Tou Ng · 2016
Cited alongside, same era.
A nested attention neural hybrid model for grammatical error correction
Jianshu Ji, Qinlong Wang, Kristina Toutanova, Yongen Gong, Steven Truong, and Jianfeng Gao · 2017
Later among the works it cites.
Grammatical error detection using error-and grammaticality-specific word embeddings
Masahiro Kaneko, Yuya Sakaizawa, and Mamoru Komachi · 2017
Later among the works it cites.
Jfleg: A fluency corpus and benchmark for grammatical error correction
Courtney Napoles, Keisuke Sakaguchi, and Joel Tetreault · 2017
Later among the works it cites.
Artificial error generation with machine translation and syntactic patterns
Marek Rei, Mariano Felice, Zheng Yuan, and Ted Briscoe · 2017
Later among the works it cites.
Grammatical error correction with neural reinforcement learning
Keisuke Sakaguchi, Matt Post, and Benjamin Van Durme · 2017
Later among the works it cites.
Adapting sequence models for sentence correction
Allen Schmaltz, Yoon Kim, Alexander Rush, and Stuart Shieber · 2017
Later among the works it cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Later among the works it cites.
Deliberation networks: Sequence generation beyond one-pass decoding
Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, and Tie-Yan Liu · 2017
Later among the works it cites.
Neural sequence-labelling models for grammatical error correction
Helen Yannakoudakis, Marek Rei, Øistein E Andersen, and Zheng Yuan · 2017
Later among the works it cites.
A multilayer convolutional encoder-decoder neural network for grammatical error correction
Shamil Chollampatt and Hwee Tou Ng · 2018
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Leshem Choshen and Omeri Abend · 2018
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Fluency boost learning and inference for neural grammatical error correction
Tao Ge, Furu Wei, and Ming Zhou · 2018
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Near human-level performance in grammatical error correction with hybrid machine translation
Roman Grundkiewicz and Marcin Junczys-Dowmunt · 2018
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Approaching neural grammatical error correction as a low-resource machine translation task
Marcin Junczys-Dowmunt, Roman Grundkiewicz, Shubha Guha, and Kenneth Heafield · 2018
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Noising and denoising natural language: Diverse backtranslation for grammar correction
Ziang Xie, Guillaume Genthial, Stanley Xie, Andrew Ng, and Dan Jurafsky · 2018
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Joint training for neural machine translation models with monolingual data
Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, and Enhong Chen · 2018
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