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March 3, 2026International Journal of Information and Communication Technology0 citationsOpen Access

Natural language processing for automatic error detection in Chinese language learning

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ZLZhengxin LiRWRongzhen Wu

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. (2026) studied this question.

synapsesocial.com/papers/69a75c3fc6e9836116a24ef0https://doi.org/10.1504/ijict.2026.10075960
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