March 3, 2026Open Access

Natural language processing for automatic error detection in Chinese language learning

Key Points

Automatic error detection enhances language learning outcomes, benefiting students and educators alike.
A new approach integrates natural language processing to identify errors in real-time during lessons.
Assessment using innovative NLP tools reveals areas requiring further improvement in learners' skills.
Highlighting the importance of technology in educational settings, further validation is essential.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite this study

Li et al. (Thu,) studied this question.

www.synapsesocial.com/papers/69a75c3fc6e9836116a24ef0 — DOI: https://doi.org/10.1504/ijict.2026.10075960

Authors

Zhengxin Li

Rongzhen Wu

Journals

International Journal of Information and Communication Technology

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Building similarity graph...

Analyzing shared references across papers

Natural language processing for automatic error detection in Chinese language learning

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Cite this study

Authors

Journals

Actions

References and Citations

Citation Network

Connected Papers

Discussion