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Recent progress in the task of Grammatical Error Correction (GEC) has been driven by addressing data sparsity, both through new methods for generating large and noisy pretraining data and through the publication of small and higher-quality finetuning data in the BEA-2019 shared task.
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The CoNLL-2014 shared task on grammatical error correction
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Dynamic data selection for neural machine translation
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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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A neural grammatical error correction system built on better pre-training and sequential transfer learning
Yo Joong Choe, Jiyeon Ham, Kyubyong Park, and Yeoil Yoon. 2019 · 2019
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Neural grammatical error correction systems with unsupervised pre-training on synthetic data
Roman Grundkiewicz, Marcin Junczys-Dowmunt, and Kenneth Heafield. 2019 · 2019
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An empirical study of incorporating pseudo data into grammatical error correction
Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, and Kentaro Inui. 2019 · 2019
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A multilayer convolutional encoder-decoder neural network for grammatical error correction
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Dual conditional crossentropy filtering of noisy parallel corpora
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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Wronging a right: Generating better errors to improve grammatical error detection
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On the impact of various types of noise on neural machine translation
Huda Khayrallah and Philipp Koehn. 2018 · 2018
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Adafactor: Adaptive learning rates with sublinear memory cost
Noam Shazeer and Mitchell Stern. 2018 · 2018
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Corpora generation for grammatical error correction
Jared Lichtarge, Chris Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, and Simon Tong. 2019 · 2019
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Dynamically composing domain-data selection with clean-data selection by “co-curricular learning” for neural machine translation
Wei Wang, Isaac Caswell, and Ciprian Chelba. 2019 · 2019
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Erroneous data generation for grammatical error correction
Shuyao Xu, Jiehao Zhang, Jin Chen, and Long Qin. 2019 · 2019
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Improving grammatical error correction via pre-training a copy-augmented architecture with unlabeled data
Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, and Jingming Liu. 2019 · 2019
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Gector – grammatical error correction: Tag, not rewrite
Kostiantyn Omelianchuk, Vitaliy Atrasevych, Artem Chernodub, and Oleksandr Skurzhanskyi. 2020 · 2020
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A comprehensive survey of grammar error correction
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Reinforcement learning based curriculum optimization for neural machine translation
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