COMPUTER LINGUISTICS FUTURE HISTORY PERSPECTIVE

Authors

  • Norpolatova Nilufar 2-year master's student at Department of Uzbek language and literature at the Faculty of Oriental Languages at SamSIDL direction of computer linguistics, Uzbekistan

DOI:

https://doi.org/10.37547/ijasr-03-11-30

Keywords:

Computational linguistics, language processing, artificial intelligence

Abstract

Computational linguistics stands at the intersection of language, technology, and artificial intelligence, shaping the future of communication and technological advancement. This article provides an insightful exploration into the future history perspective of computational linguistics, tracing its evolution, current landscape, and prospects for the future. Beginning with a brief overview of its origins and early developments, the article navigates through key milestones that have propelled the field forward, leveraging machine learning, neural networks, and AI to revolutionize language processing. In essence, this article aims to provide a comprehensive and forward-looking view of computational linguistics, highlighting its evolution, present applications, future possibilities, and the ethical considerations that must accompany its journey towards shaping our linguistic and technological landscape.

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References

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

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

Jurafsky, D., & Martin, J. H. (2020). Speech and Language Processing (3rd ed.). Upper Saddle River, NJ: Prentice Hall.

Clark, A. (2015). Talking to Robots: Tales from Our Human-Robot Futures. New York, NY: Basic Books.

Future of Humanity Institute, University of Oxford. (n.d.). The Future of Computer Science. Retrieved from https://www.fhi.ox.ac.uk/research/

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Published

2023-11-19

How to Cite

COMPUTER LINGUISTICS FUTURE HISTORY PERSPECTIVE. (2023). International Journal of Advance Scientific Research, 3(11), 179-183. https://doi.org/10.37547/ijasr-03-11-30

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