Logo

THE IMPORTANCE OF MATHEMATICAL AND COMPUTATIONAL LINGUISTICS IN MODERN LINGUISTIC RESEARCH

Authors

  • Dilshod Khujayev Gayratovich.

    Teacher of General Linguistic department of Uzbekistan State World languages university
    Author

Keywords:

mathematical linguistics, computational linguistics, language technology, natural language processing, artificial intelligence, machine translation, corpus linguistics, language analysis.

Abstract

In recent decades, linguistics has expanded beyond traditional language analysis and has become closely connected with mathematics and computer science. Mathematical and computational linguistics have emerged as important fields that help researchers study language more accurately and efficiently. These disciplines provide methods for analyzing linguistic structures, processing large amounts of language data, and developing technologies that facilitate communication between humans and computers. This article discusses the growing significance of mathematical and computational linguistics and their contribution to modern language research and technology.

References

1. Jurafsky, D., & Martin, J. H. (2024). Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (3rd ed.). Stanford University.

2. Manning, C. D., & Schütze, H. (1999). Foundations of Statistical Natural Language Processing. Cambridge, MA: MIT Press.

3. Crystal, D. (2010). The Cambridge Encyclopedia of Language (3rd ed.). Cambridge: Cambridge University Press.

4. Chomsky, N. (1957). Syntactic Structures. The Hague: Mouton.

5. Partee, B. H., ter Meulen, A., & Wall, R. E. (1993). Mathematical Methods in Linguistics. Dordrecht: Kluwer Academic Publishers.

6. Mitkov, R. (Ed.). (2022). The Oxford Handbook of Computational Linguistics (2nd ed.). Oxford: Oxford University Press.

7. McEnery, T., & Hardie, A. (2012). Corpus Linguistics: Method, Theory and Practice. Cambridge: Cambridge University Press.

8. Bird, S., Klein, E., & Loper, E. (2009). Natural Language Processing with Python. Sebastopol, CA: O’Reilly Media.

9. Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). London: Pearson.

10. Koehn, P. (2020). Neural Machine Translation. Cambridge: Cambridge University Press.

Downloads

Published

2026-06-19