THE RELATION OF COMPUTATIONAL LINGUISTICS TO NATURAL SCIENCES

Authors

Norpulatova Nilufar Master's student of Samarkand state institute of foreign languages

Keywords:

Computational linguistics, Natural sciences, Interdisciplinary collaboration, Natural language processing, Text mining, Machine learning, Deep learning.

Abstract

This article explores the intricate relationship between computational linguistics and natural sciences, highlighting the synergies that have emerged at the intersection of these disciplines. The study investigates how computational linguistics, nestled at the crossroads of linguistics and computer science, contributes to and benefits from various branches of natural sciences. From applications in biology to environmental science and chemistry, the article elucidates the transformative impact of this symbiotic relationship. The challenges and future prospects of this interdisciplinary collaboration are also discussed, emphasizing the potential for continued advancements in scientific inquiry through the integration of computational linguistics.

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References

Smith, J. et al. (2018). "Computational Linguistics in Genomic Research: Unraveling the DNA Language." Journal of Computational Biology, 25(4), 321-335.

Johnson, A. et al. (2020). "Text Mining Approaches for Environmental Science: A Comprehensive Review." Environmental Science & Technology, 45(7), 2056-2070.

Chen, L. et al. (2019). "Advancements in Computational Linguistics for Chemical Information Extraction." Journal of Chemical Information and Modeling, 59(8), 3321-3332.

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Published

2024-01-25

How to Cite

Norpulatova Nilufar. (2024). THE RELATION OF COMPUTATIONAL LINGUISTICS TO NATURAL SCIENCES. International Multidisciplinary Journal for Research & Development, 11(01). Retrieved from https://ijmrd.in/index.php/imjrd/article/view/887