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Grammatical error correction can be viewed as a low-resource sequence-to-sequence task, because publicly available parallel corpora are limited.
Corpora generation for grammatical error correction
Jared Lichtarge, Chris Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, and Simon Tong. 2019 · 1904
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fairseq: A fast, extensible toolkit for sequence modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 1904
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Correcting esl errors using phrasal smt techniques
Chris Brockett, William B Dolan, and Michael Gamon. 2006 · 2006
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Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol. 2008 · 2008
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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 · 2011
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On using context for automatic correction of non-word misspellings in student essays
Michael Flor and Yoko Futagi. 2012 · 2012
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Tense and aspect error correction for esl learners using global context
Toshikazu Tajiri, Mamoru Komachi, and Yuji 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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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 · 2014
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Generating artificial errors for grammatical error correction
Mariano Felice and Zheng Yuan. 2014 · 2014
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Complexity of Word Collocation Networks: A Preliminary Structural Analysis
Shibamouli Lahiri. 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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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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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2015 · 2015
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Effective approaches to attention-based neural machine translation
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
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Transfer learning for speech and language processing
Dong Wang and Thomas Fang Zheng. 2015 · 2015
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016 · 2016
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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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Identity mappings in deep residual networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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Data recombination for neural semantic parsing
Robin Jia and Percy Liang. 2016 · 2016
Grammatical error correction with neural reinforcement learning
Keisuke Sakaguchi, Matt Post, and Benjamin Van Durme. 2017 · 2017
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Llion Jones, Jakob Uszkoreit, Aidan N Gomez, and Ł ukasz Kaiser. 2017 · 2017
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A multilayer convolutional encoder-decoder neural network for grammatical error correction
Shamil Chollampatt and Hwee Tou Ng. 2018a · 2018
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Neural quality estimation of grammatical error correction
Shamil Chollampatt and Hwee Tou Ng. 2018b · 2018
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Near human-level performance in grammatical error correction with hybrid machine translation
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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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Pointer sentinel mixture models
Stephen Merity, Caiming Xiong, James Bradbury, and Richard Socher. 2016 · 2016
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Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, and Jingming Liu. 2019 · 2016
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Automatic annotation and evaluation of error types for grammatical error correction
Christopher Bryant, Mariano Felice, and Edward John Briscoe. 2017 · 2017
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Connecting the dots: Towards human-level grammatical error correction
Shamil Chollampatt and Hwee Tou Ng. 2017 · 2017
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Language modeling with gated convolutional networks
Yann N. Dauphin, Angela Fan, Michael Auli, and David Grangier. 2017 · 2017
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Roman Grundkiewicz and Marcin Junczys-Dowmunt. 2018 · 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 · 2018
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Taku Kudo and John Richardson. 2018 · 2018
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Phrase-based & neural unsupervised machine translation
Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2018b · 2018
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Weakly supervised grammatical error correction using iterative decoding
Jared Lichtarge, Christopher Alberti, Shankar Kumar, Noam Shazeer, and Niki Parmar. 2018 · 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 · 2018
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Developing an automated writing placement system for esl learners
Helen Yannakoudakis, Øistein E Andersen, Ardeshir Geranpayeh, Ted Briscoe, and Diane Nicholls. 2018 · 2018
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The BEA-2019 Shared Task on Grammatical Error Correction
Christopher Bryant, Mariano Felice, Øistein E. Andersen, and Ted Briscoe. 2019 · 2019
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Neural Transfer Learning for Natural Language Processing
Sebastian Ruder. 2019 · 2019
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