A sentence judgment system for grammatical error detection

Lung Hao Lee, Liang Chih Yu, Kuei Ching Lee, Yuen Hsien Tseng, Li Ping Chang, Hsin Hsi Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

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.

Original languageEnglish
Title of host publicationCOLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of the Conference System Demonstrations
EditorsLamia Tounsi, Rafal Rak
PublisherAssociation for Computational Linguistics (ACL)
Pages67-70
Number of pages4
ISBN (Electronic)9781941643273
StatePublished - 2014
Event25th International Conference on Computational Linguistics, COLING 2014 - Dublin, Ireland
Duration: 23 Aug 201429 Aug 2014

Publication series

NameCOLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of the Conference System Demonstrations

Conference

Conference25th International Conference on Computational Linguistics, COLING 2014
Country/TerritoryIreland
CityDublin
Period23/08/1429/08/14

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