Results 11 to 20 of about 58,487 (271)
IEEE Access, 2022 Grammatical error correction has been considered as an application closely related to daily life and an important shared task in many prestigious competitions and workshops.
Binbin Chen, Jingyu Zhang
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IEEE Access, 2022 Recently, active research has been conducted on Korean grammatical error correction on machine translation (MT) and automatic noise generation. However, there is no gold-standard test set for objective and official comparative analysis.
Seonmin Koo +6 more
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Supervised Copy Mechanism for Grammatical Error Correction
IEEE Access, 2023 AI has introduced a new reform direction for traditional education, such as automating Grammatical Error Correction (GEC) to reduce teachers’ workload and improve efficiency.
Kamal Al-Sabahi, Kang Yang
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Optimizing the impact of data augmentation for low-resource grammatical error correction
Journal of King Saud University: Computer and Information Sciences, 2023 Grammatical Error Correction (GEC) refers to the automatic identification and amendment of grammatical, spelling, punctuation, and word-positioning errors in monolingual texts.
Aiman Solyman +6 more
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Towards Harnessing the Most of ChatGPT for Korean Grammatical Error Correction
Applied SciencesIn this study, we conduct a pioneering and comprehensive examination of ChatGPT’s (GPT-3.5 Turbo) capabilities within the realm of Korean Grammatical Error Correction (K-GEC).
Chanjun Park +3 more
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Chinese Grammatical Error Correction Based on Convolutional Sequence to Sequence Model
IEEE Access, 2019 Chinese grammatical error correction (CGEC) is practically useful for learners of Chinese as a second language, but it is a rather challenging task due to the complex and flexible nature of Chinese language so that existing methods for English cannot be ...
Si Li +7 more
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Comparison of the Evaluation Metrics for Neural Grammatical Error Correction With Overcorrection
IEEE Access, 2020 Grammar error correction (GEC) refers to the proper correction of grammatical errors in a given sentence. Important factors to consider in GEC are not only the grammatical correction of the sentence, but also the recognition of a correct sentence in ...
Chanjun Park +3 more
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GECToR – Grammatical Error Correction: Tag, Not Rewrite [PDF]
Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2020 In this paper, we present a simple and efficient GEC sequence tagger using a Transformer encoder. Our system is pre-trained on synthetic data and then fine-tuned in two stages: first on errorful corpora, and second on a combination of errorful and error-free parallel corpora.
Omelianchuk, Kostiantyn +3 more
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Minimally-Augmented Grammatical Error Correction [PDF]
Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019), 2019 There has been an increased interest in low-resource approaches to automatic grammatical error correction. We introduce Minimally-Augmented Grammatical Error Correction (MAGEC) that does not require any error-labelled data. Our unsupervised approach is based on a simple but effective synthetic error generation method based on confusion sets from ...
Roman Grundkiewicz +1 more
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IEEE Access, 2023 The English grammatical error correction system is suitable for the English learning environment, with the goal of accurately correcting errors in learners’ writing.
Chen Zhang, Tongjie Xu, Guangli Wu
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