Corpus Linguistics in Dictionary Construction and Language Teaching: A Systematic Review of Current Trends and Applications

Authors

  • Otomosi Gea Universitas Nias, Nias, Indonesia Author

Keywords:

corpus linguistics, lexicography, language teaching, data-driven learning, systematic review

Abstract

Corpus linguistics has transformed lexicography and language pedagogy through empirical, data-driven approaches. This systematic review examines recent developments in corpus-based methodologies for dictionary construction and language teaching between 2023-2025. Using systematic literature review methodology, this study analyzed 10 key publications from major linguistics journals to identify current trends, challenges, and future directions. Findings reveal that corpus-based approaches significantly enhance dictionary accuracy and language teaching effectiveness, though implementation challenges persist regarding teacher training and resource accessibility. The study identifies three primary application areas: corpus-driven lexicography utilizing NLP tools, data-driven learning in EFL contexts, and corpus-based teacher education. Results indicate growing integration of computational techniques with corpus linguistics, though gaps remain in making corpus methods accessible to mainstream educators. This review provides insights for researchers, lexicographers, and language educators seeking to leverage corpus methodologies in their practice

References

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Published

2024-05-31

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Articles