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Grammatical error correction (GEC) is one of the areas in natural language processing in which purely neural models have not yet superseded more traditional symbolic models.
An efficient method for finding the minimum of a function of several variables without calculating derivatives
Michael JD Powell. 1964 · 1964
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Finite-state transducers in language and speech processing
Mehryar Mohri. 1997 · 1997
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A weight pushing algorithm for large vocabulary speech recognition
Mehryar Mohri and Michael Riley. 2001 · 2001
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Edit-distance of weighted automata: General definitions and algorithms
Mehryar Mohri. 2003 · 2003
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OpenFst: A general and efficient weighted finite-state transducer library
Cyril Allauzen, Michael Riley, Johan Schalkwyk, Wojciech Skut, and Mehryar Mohri. 2007 · 2007
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KenLM: Faster and smaller language model queries
Kenneth Heafield. 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 Yuji Matsumoto. 2012 · 2012
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The OpenGrm open-source finite-state grammar software libraries
Brian Roark, Richard Sproat, Cyril Allauzen, Michael Riley, Jeffrey Sorensen, and Terry Tai. 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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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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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. 2014 · 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 · 2014
Cited alongside, same era.
Ground truth for grammatical error correction metrics
Courtney Napoles, Keisuke Sakaguchi, Matt Post, and Joel Tetreault. 2015 · 2015
Cited alongside, same era.
Neural network translation models for grammatical error correction
Shamil Chollampatt, Kaveh Taghipour, and Hwee Tou Ng. 2016 · 2016
Cited alongside, same era.
Phrase-based machine translation is state-of-the-art for automatic grammatical error correction
Marcin Junczys-Dowmunt and Roman Grundkiewicz. 2016 · 2016
Cited alongside, same era.
JFLEG: A fluency corpus and benchmark for grammatical error correction
Courtney Napoles, Keisuke Sakaguchi, and Joel Tetreault. 2017 · 2017
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Grammatical error correction with neural reinforcement learning
Keisuke Sakaguchi, Matt Post, and Benjamin Van Durme. 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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SGNMT – A flexible NMT decoding platform for quick prototyping of new models and search strategies
Felix Stahlberg, Eva Hasler, Danielle Saunders, and Bill Byrne. 2017 · 2017
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Automatically generated inflection database (AGID)
Kevin Atkinson. 2011 · 2018
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Language model based grammatical error correction without annotated training data
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Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Cited alongside, same era.
Neural language correction with character-based attention
Ziang Xie, Anand Avati, Naveen Arivazhagan, Dan Jurafsky, and Andrew Y Ng. 2016 · 2016
Cited alongside, same era.
Grammatical error correction using neural machine translation
Zheng Yuan and Ted Briscoe. 2016 · 2016
Cited alongside, same era.
Automatic annotation and evaluation of error types for grammatical error correction
Christopher Bryant, Mariano Felice, and Ted Briscoe. 2017 · 2017
Cited alongside, same era.
Connecting the dots: Towards human-level grammatical error correction
Shamil Chollampatt and Hwee Tou Ng. 2017 · 2017
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 · 2017
Cited alongside, same era.
Fluency boost learning and inference for neural grammatical error correction
Tao Ge, Furu Wei, and Ming Zhou. 2018a
Cited in the paper.
Christopher Bryant and Ted Briscoe. 2018 · 2018
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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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Near human-level performance in grammatical error correction with hybrid machine translation
Roman Grundkiewicz and Marcin Junczys-Dowmunt. 2018 · 2018
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CyHunspell
Tim Rodriguez and Matthew Seal. 2014 · 2018
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Multi-representation ensembles and delayed SGD updates improve syntax-based NMT
Danielle Saunders, Felix Stahlberg, Adrià de Gispert, and Bill Byrne. 2018 · 2018
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Tensor2tensor for neural machine translation
Ashish Vaswani, Samy Bengio, Eugene Brevdo, Francois Chollet, Aidan Gomez, Stephan Gouws, Llion Jones, Łukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, and Jakob Uszkoreit. 2018 · 2018
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