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Grammatical error correction systems improve written communication by detecting and correcting language mistakes.
Parallel iterative edit models for local sequence transduction
Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, and Vihari Piratla. 2019 · 1910
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 1910
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Generalization through memorization: Nearest neighbor language models
Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, and Mike Lewis. 2019 · 1911
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A cognitive approach to language learning
Peter Skehan et al. 1998 · 1998
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A cognitive model of corpus-based analysis of chinese learners’ errors of english
Shichun Gui. 2004 · 2004
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Gector–grammatical error correction: tag, not rewrite
Kostiantyn Omelianchuk, Vitaliy Atrasevych, Artem Chernodub, and Oleksandr Skurzhanskyi. 2020 · 2005
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Implicit and explicit corrective feedback and the acquisition of l2 grammar
Rod Ellis, Shawn Loewen, and Rosemary Erlam. 2006 · 2006
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Statistics (international student edition)
David Freedman, Robert Pisani, and Roger Purves. 2007 · 2007
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Mining sequential patterns and tree patterns to detect erroneous sentences
Guihua Sun, Gao Cong, Xiaohua Liu, Chin-Yew Lin, and Ming Zhou. 2007 · 2007
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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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Deep biaffine attention for neural dependency parsing
Timothy Dozat and Christopher D. Manning. 2016 · 2016
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Automatic annotation and evaluation of error types for grammatical error correction
Christopher Bryant, Mariano Felice, and Edward Briscoe. 2017 · 2017
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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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Allennlp: A deep semantic natural language processing platform
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson Liu, Matthew Peters, Michael Schmitz, and Luke Zettlemoyer. 2018 · 2018
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al. 2020 · 2020
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Data strategies for low-resource grammatical error correction
Simon Flachs, Felix Stahlberg, and Shankar Kumar. 2021 · 2021
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Exploring methods for generating feedback comments for writing learning
Kazuaki Hanawa, Ryo Nagata, and Kentaro Inui. 2021 · 2021
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Shared task on feedback comment generation for language learners
Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa, Masato Mita, Artem Chernodub, and Olena Nahorna. 2021 · 2021
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A simple recipe for multilingual grammatical error correction
Sascha Rothe, Jonathan Mallinson, Eric Malmi, Sebastian Krause, and Aliaksei Severyn. 2021 · 2021
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Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, and Eduard Hovy. 2018 · 2018
Cited alongside, same era.
The bea-2019 shared task on grammatical error correction
Christopher Bryant, Mariano Felice, Øistein E Andersen, and Ted Briscoe. 2019 · 2019
Cited alongside, same era.
Toward a task of feedback comment generation for writing learning
Ryo Nagata. 2019 · 2019
Cited alongside, same era.
Creating corpora for research in feedback comment generation
Ryo Nagata, Kentaro Inui, and Shin’ichiro Ishikawa. 2020 · 2020
Cited alongside, same era.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
Cited alongside, same era.
Ensembling and knowledge distilling of large sequence taggers for grammatical error correction
Maksym Tarnavskyi, Artem Chernodub, and Kostiantyn Omelianchuk. 2022a
Cited in the paper.
Ensembling and knowledge distilling of large sequence taggers for grammatical error correction
Maksym Tarnavskyi, Artem Chernodub, and Kostiantyn Omelianchuk. 2022b
Cited in the paper.
Synthetic data generation for grammatical error correction with tagged corruption models
Felix Stahlberg and Shankar Kumar. 2021 · 2021
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Interpretability for language learners using example-based grammatical error correction
Masahiro Kaneko, Sho Takase, Ayana Niwa, and Naoaki Okazaki. 2022 · 2022
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Syngec: Syntax-enhanced grammatical error correction with a tailored gec-oriented parser
Yue Zhang, Bo Zhang, Zhenghua Li, Zuyi Bao, Chen Li, and Min Zhang. 2022 · 2022
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Effidit: An assistant for improving writing efficiency
Shuming Shi, Enbo Zhao, Bi Wei, Cai Deng, Leyang Cui, Xinting Huang, Haiyun Jiang, Duyu Tang, Kaiqiang Song, Wang Longyue, Chengyan Huang, Guoping Huang, Yan Wang, and Li Piji. 2023 · 2023
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