Results 11 to 20 of about 164,995 (278)
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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A Two-Stage Model for Chinese Grammatical Error Correction
IEEE Access, 2019 Chinese grammatical error correction (GEC) is more challenging than English GEC due to its language characteristics. In this paper, a two-stage model was proposed to solve the Chinese GEC problem.
Zhaoquan Qiu, Youli Qu
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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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Method for Chinese Grammar Error Detection Integrating ELECTRA and Text Local Information [PDF]
Jisuanji gongcheng, 2023 Grammar error detection is a basic task in natural language processing.The task aims to automatically identify typos, grammar, and word order errors in text.Compared with other languages, Chinese grammar is flexible and lacks symbolic information such as
CHEN Bailin, WANG Tianji, REN Lina, HUANG Ruizhang
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JALL (Journal of Applied Linguistics and Literacy), 2022 This research aims to analyze grammatical and mechanical errors made by English Language Education Department students in Batam City in writing a summary and response paragraph. This study applied a mixed-method approach to analyze the data.
Nurlaily Nurlaily
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An Automatic Error Detection Method for Machine Translation Results via Deep Learning
IEEE Access, 2023 Nowadays, the rapid development of natural language processing has brought great progress for the area of machine translation. Various deep neural network-based machine translation approaches have been more and more general.
Weihong Zhang
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Analyzing Grammatical Error in Students' Recount Text Writing in Junior High School
Humanis, 2020 Having good grammar is one of important components in the mastery of writing skills. However, grammatical errors still become an important problem in writing, especially for EFL students.
Ni Putu Ines Marylena Candra Manik +1 more
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Towards Lithuanian Grammatical Error Correction
, 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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Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection [PDF]
, 2018 Grammatical error correction, like other machine learning tasks, greatly benefits from large quantities of high quality training data, which is typically expensive to produce. While writing a program to automatically generate realistic grammatical errors
Kasewa, Sudhanshu +2 more
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