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We introduce NeuSpell, an open-source toolkit for spelling correction in English.
The computer learner corpus: a versatile new source of data for SLA research
Sylviane Granger. 1998 · 1998
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Spelling correction in the pubmed search engine
W. John Wilbur, Won Kim, and Natalie Xie. 2006 · 2006
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Enchant
Reuben Thomas. 2010 · 2010
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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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A new dataset and method for automatically grading ESOL texts
Helen Yannakoudakis, Ted Briscoe, and Ben Medlock. 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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One billion word benchmark for measuring progress in statistical language modeling
Ciprian Chelba, Tomas Mikolov, Mike Schuster, Qi Ge, Thorsten Brants, Phillipp Koehn, and Tony Robinson. 2013 · 2013
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Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013 · 2013
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
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Character-aware neural language models
Yoon Kim, Yacine Jernite, David Sontag, and Alexander M. Rush. 2015 · 2015
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Spelling correction system
Peter Norvig. 2016 · 2016
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Robsut wrod reocginiton via semi-character recurrent neural network
Keisuke Sakaguchi, Kevin Duh, Matt Post, and Benjamin Van Durme. 2016 · 2016
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Synthetic and natural noise both break neural machine translation
Yonatan Belinkov and Yonatan Bisk. 2017 · 2017
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Spelling error correction using a nested rnn model and pseudo training data
Hao Li, Yang Wang, Xinyu Liu, Zhichao Sheng, and Si Wei. 2018 · 2018
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Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Gnu aspell
Kevin Atkinson. 2019 · 2019
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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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Hotflip: White-box adversarial examples for text classification
Javid Ebrahimi, Anyi Rao, Daniel Lowd, and Dejing Dou. 2017 · 2017
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JFLEG: A fluency corpus and benchmark for grammatical error correction
Courtney Napoles, Keisuke Sakaguchi, and Joel Tetreault. 2017 · 2017
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Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017 · 2017
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Generating natural language adversarial examples
Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani Srivastava, and Kai-Wei Chang. 2018 · 2018
Cited alongside, same era.
Corpora of misspellings
Roger Mitton. na
Cited in the paper.
Filipp Ozinov. 2019 · 2019
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Misspelling oblivious word embeddings
Aleksandra Piktus, Necati Bora Edizel, Piotr Bojanowski, Edouard Grave, Rui Ferreira, and Fabrizio Silvestri. 2019 · 2019
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Combating adversarial misspellings with robust word recognition
Danish Pruthi, Bhuwan Dhingra, and Zachary C. Lipton. 2019 · 2019
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