@inproceedings{b27956eb47dc416d989205ff88c7aaec,
title = "A sentence judgment system for grammatical error detection",
abstract = "This study develops a sentence judgment system using both rule-based and n-gram statistical methods to detect grammatical errors in Chinese sentences. The rule-based method provides 142 rules developed by linguistic experts to identify potential rule violations in input sentences. The n-gram statistical method relies on the n-gram scores of both correct and incorrect training sentences to determine the correctness of the input sentences, providing learners with improved understanding of linguistic rules and n-gram frequencies.",
author = "Lee, {Lung Hao} and Yu, {Liang Chih} and Lee, {Kuei Ching} and Tseng, {Yuen Hsien} and Chang, {Li Ping} and Chen, {Hsin Hsi}",
note = "Publisher Copyright: {\textcopyright} COLING 2014.All right reserved.; 25th International Conference on Computational Linguistics, COLING 2014 ; Conference date: 23-08-2014 Through 29-08-2014",
year = "2014",
language = "English",
series = "COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of the Conference System Demonstrations",
publisher = "Association for Computational Linguistics (ACL)",
pages = "67--70",
editor = "Lamia Tounsi and Rafal Rak",
booktitle = "COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of the Conference System Demonstrations",
}