Results 1 to 10 of about 30,956 (156)
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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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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Error-related activity and correlates of grammatical plasticity [PDF]
Frontiers in Psychology, 2011 Cognitive control involves not only the ability to manage competing task demands, but also the ability to adapt task performance during learning. This study investigated how violation-, response-, and feedback-related electrophysiological (EEG) activity ...
Doug eDavidson, Peter eIndefrey
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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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Chinese Grammatical Error Correction Based on Grammatical Knowledge Enhancement [PDF]
Jisuanji gongcheng, 2023 The aim of grammatical error correction is to judge whether natural language texts contain grammatical errors, to correct them. In recent years, with the rapid development of pre-trained language models, methods based on such models have been widely used
Qian DENG, Shu CHEN, Junmin YE
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Adversarial Grammatical Error Correction [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 Recent works in Grammatical Error Correction (GEC) have leveraged the progress in Neural Machine Translation (NMT), to learn rewrites from parallel corpora of grammatically incorrect and corrected sentences, achieving state-of-the-art results. At the same time, Generative Adversarial Networks (GANs) have been successful in generating realistic texts ...
Vipul Raheja, Dimitris Alikaniotis
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Do Grammatical Error Correction Models Realize Grammatical Generalization? [PDF]
Journal of Natural Language Processing, 2021 There has been an increased interest in data generation approaches to grammatical error correction (GEC) using pseudo data. However, these approaches suffer from several issues that make them inconvenient for real-world deployment including a demand for large amounts of training data.
Mita, Masato, Yanaka, Hitomi
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Journal of Applied Linguistics and Literature, 2021 This research aims at analyzing the grammatical errors in English abstracts of the undergraduate thesis. This research takes place at two private colleges in Medan city which provide the undergraduate program of management study namely Sekolah Tinggi ...
Soraya Grabiella Dinamika
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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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Jurnal Penelitian Humaniora, 2021 The research aimed to investigate types of common grammatical errors and dominant errors in writing narrative essays of students at the Youth Resource Center, Savannakhet.
Khamlan Phommavongsa +2 more
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