EMERGING APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN LANGUAGE RESEARCH AND ANALYSIS
- Authors
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Tohirjanova Shaxista Kabilovna
Senior Lecturer, Department of Practical French Language Studies Uzbekistan State World Languages University
Author
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- Keywords:
- Artificial intelligence, linguistics, natural language processing, machine translation, corpus linguistics, speech recognition, language technology
- Abstract
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This article explores the growing role of artificial intelligence (AI) in modern linguistics. It analyzes how AI technologies, particularly natural language processing (NLP), are transforming the study of language, including syntax, semantics, and pragmatics. The paper also examines the benefits and challenges of integrating AI into linguistic research and language education. Special attention is given to machine translation, speech recognition, and corpus linguistics. The findings suggest that AI not only enhances linguistic analysis but also reshapes traditional approaches to language study.
- References
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1.Chomsky, N. (2002). Syntactic structures. Mouton de Gruyter.
2.Jurafsky, D., & Martin, J. H. (2021). Speech and language processing (3rd ed.). Pearson.
3.Manning, C. D., & Schütze, H. (1999). Foundations of statistical natural language processing. MIT Press.
4.Russell, S., & Norvig, P. (2020). Artificial intelligence: A modern approach (4th ed.). Pearson.
5.Sinclair, J. (2004). Trust the text: Language, corpus and discourse. Routledge.
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- Published
- 2026-06-09
- Issue
- Vol. 2 No. 6 (2026)
- Section
- Articles
- License
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This work is licensed under a Creative Commons Attribution 4.0 International License.
