Results 1 to 10 of about 9,958 (247)
Korean Grammatical Error Correction Based on Transformer with Copying Mechanisms and Grammatical Noise Implantation Methods [PDF]
Sensors, 2021 Grammatical Error Correction (GEC) is the task of detecting and correcting various grammatical errors in texts. Many previous approaches to the GEC have used various mechanisms including rules, statistics, and their combinations.
Myunghoon Lee +3 more
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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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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, 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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Towards Lithuanian Grammatical Error Correction
Lecture Notes in Networks and Systems, 2022 Everyone wants to write beautiful and correct text, yet the lack of language skills, experience, or hasty typing can result in errors. By employing the recent advances in transformer architectures, we construct a grammatical error correction model for Lithuanian, the language rich in archaic features.
Lukas Stankevičius +1 more
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Evaluating LLMs' grammatical error correction performance in learner Chinese. [PDF]
PLoS ONELarge language models (LLMs) have recently exhibited significant capabilities in various English NLP tasks. However, their performance in Chinese grammatical error correction (CGEC) remains unexplored.
Sha Lin
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Tibyan corpus: balanced and comprehensive error coverage corpus using ChatGPT for Arabic grammatical error correction [PDF]
PeerJ Computer ScienceNatural language processing (NLP) augments text data to overcome sample size constraints. Scarce and low-quality data present particular challenges when learning from these domains.
Ahlam Alrehili, Areej Alhothali
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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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Grammar error diagnosis using graph convolutional networks with knowledge graph integration [PDF]
Scientific ReportsAutomated grammar error diagnosis remains challenging due to the complexity of syntactic structures and semantic dependencies in natural language. This study proposes a novel framework that integrates Graph Convolutional Networks (GCNs) with domain ...
Jing Zhang, Yanfeng Ma
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