ISSN: 2265-6294

Computational Linguistics and its Role in Enhancing the Impact of NEP 2020 on English Language Education

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Ratna Pandey

Abstract

The National Education Policy (NEP) 2020 in India places significant emphasis on language education, particularly English language proficiency. This paper explores the potential of Computational Linguistics, an interdisciplinary field that combines linguistics and computer science, to enhance the implementation of NEP 2020's goals in the context of English language education. The paper discusses the applications of Computational Linguistics and its role in developing adaptive language learning tools, automated assessment systems, and content generation, highlighting its alignment with NEP 2020. It also addresses challenges and opportunities, providing insights into how technology can be effectively integrated into language education. The paper concludes by underlining the significance of collaboration between educators, policymakers, and technologists to harness the power of Computational Linguistics for a transformative impact on language education.

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