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Previously, neural methods in grammatical error correction (GEC) did not reach state-of-the-art results compared to phrase-based statistical machine translation (SMT) baselines.
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Correcting ESL errors using phrasal SMT techniques
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Natural Language Processing with Python
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Methods for smoothing the optimizer instability in SMT
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A new dataset and method for automatically grading ESOL texts
Helen Yannakoudakis, Ted Briscoe, and Ben Medlock. 2011 · 2011
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Better evaluation for grammatical error correction
Daniel Dahlmeier and Hwee Tou Ng. 2012 · 2012
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The effect of learner corpus size in grammatical error correction of ESL writings
Tomoya Mizumoto, Yuta Hayashibe, Mamoru Komachi, Masaaki Nagata, and Yu Matsumoto. 2012 · 2012
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Building a large annotated corpus of learner english: The NUS corpus of learner english
Daniel Dahlmeier, Hwee Tou Ng, and Siew Mei Wu. 2013 · 2013
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A simple, fast, and effective reparameterization of IBM model 2
Chris Dyer, Victor Chahuneau, and Noah A. Smith. 2013 · 2013
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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The CoNLL-2013 shared task on grammatical error correction
Hwee Tou Ng, Siew Mei Wu, Yuanbin Wu, Christian Hadiwinoto, and Joel Tetreault. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Grammatical error correction using hybrid systems and type filtering
Mariano Felice, Zheng Yuan, Øistein E. Andersen, Helen Yannakoudakis, and Ekaterina Kochmar. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2014 · 2014
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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 · 2014
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System combination for grammatical error correction
Raymond Hendy Susanto, Peter Phandi, and Hwee Tou Ng. 2014 · 2014
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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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A theoretically grounded application of dropout in recurrent neural networks
Yarin Gal and Zoubin Ghahramani. 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
A nested attention neural hybrid model for grammatical error correction
Jianshu Ji, Qinlong Wang, Kristina Toutanova, Yongen Gong, Steven Truong, and Jianfeng Gao. 2017 · 2017
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Six challenges for neural machine translation
Philipp Koehn and Rebecca Knowles. 2017 · 2017
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Regularization techniques for fine-tuning in neural machine translation
Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann, and Rico Sennrich. 2017 · 2017
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Deep architectures for neural machine translation
Antonio Valerio Miceli Barone, Jindřich Helcl, Rico Sennrich, Barry Haddow, and Alexandra Birch. 2017 · 2017
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Systematically adapting machine translation for grammatical error correction
Courtney Napoles and Chris Callison-Burch. 2017 · 2017
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JFLEG: A fluency corpus and benchmark for grammatical error correction
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Phrase-based machine translation is state-of-the-art for automatic grammatical error correction
Marcin Junczys-Dowmunt and Roman Grundkiewicz. 2016 · 2016
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Using the output embedding to improve language models
Ofir Press and Lior Wolf. 2016 · 2016
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Reassessing the goals of grammatical error correction: Fluency instead of grammaticality
Keisuke Sakaguchi, Courtney Napoles, Matt Post, and Joel Tetreault. 2016 · 2016
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Neural language correction with character-based attention
Ziang Xie, Anand Avati, Naveen Arivazhagan, Dan Jurafsky, and Andrew Y Ng. 2016 · 2016
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Transfer learning for low-resource neural machine translation
Barret Zoph, Deniz Yuret, Jonathan May, and Kevin Knight. 2016 · 2016
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Proceedings of the Second Conference on Machine Translation
Ondrej Bojar, Christian Buck, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Julia Kreutzer, Varvara Logacheva, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Stefan Riezler, Artem Sokolov, Lucia Specia, Marco Turchi, and Karin Verspoor, editors. 2017 · 2017
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Courtney Napoles, Keisuke Sakaguchi, and Joel Tetreault. 2017 · 2017
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Unsupervised pretraining for sequence to sequence learning
Prajit Ramachandran, Peter Liu, and Quoc Le. 2017 · 2017
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Adapting sequence models for sentence correction
Allen Schmaltz, Yoon Kim, Alexander Rush, and Stuart Shieber. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Neural sequence-labelling models for grammatical error correction
Helen Yannakoudakis, Marek Rei, Øistein E. Andersen, and Zheng Yuan. 2017 · 2017
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A multilayer convolutional encoder-decoder neural network for grammatical error correction
Shamil Chollampatt and Hwee Tou Ng. 2018 · 2018
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Marian: Fast neural machine translation in C++
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Better hypothesis testing for statistical machine translation: Controlling for optimizer instability
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Grammatical error correction with neural reinforcement learning
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