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Comparison of Grammatical Error Correction Using Back-Translation Models

Comparison of Grammatical Error Correction Using Back-Translation Models

North American Chapter of the Association for Computational Linguistics (NAACL), 2021

16 April 2021

Masahiro Kaneko

ArXiv (abs)PDF HTML

Papers citing "Comparison of Grammatical Error Correction Using Back-Translation Models"

5 / 5 papers shown

Data Augmentation for Spoken Grammatical Error Correction

Data Augmentation for Spoken Grammatical Error Correction

Penny Karanasou

139

1

0

25 Jul 2025

Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A
Study on Performance and Controllability in Prompt-Based Methods

Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based MethodsWorkshop on Innovative Use of NLP for Building Educational Applications (UNBEA), 2023

Masahiro Kaneko

217

55

0

29 May 2023

Grammatical Error Correction: A Survey of the State of the Art

Grammatical Error Correction: A Survey of the State of the ArtComputational Linguistics (CL), 2022

Christopher Bryant

Muhammad Reza Qorib

Hwee Tou Ng

247

113

0

09 Nov 2022

Evaluation of large-scale synthetic data for Grammar Error Correction

Evaluation of large-scale synthetic data for Grammar Error Correction

Bannihati Kumar Vanya

98

0

0

31 Oct 2022

Towards Automated Document Revision: Grammatical Error Correction,
Fluency Edits, and Beyond

Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and BeyondWorkshop on Innovative Use of NLP for Building Educational Applications (UNBEA), 2022

Keisuke Sakaguchi

Masato Hagiwara

Tomoya Mizumoto

135

22

0

23 May 2022

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