The Evolution Of Machine Translation

Authors

  • Shamsiyeva Gulshoda Teacher of Perfect-University, Uzbekistan

Keywords:

Machine translation, translation memory, Rule-based machine translation

Abstract

This article discusses the stages of the formation of machine translation. The concepts of automatic translation, translation memory, as well as types such as Rule-based machine translation, Example-based machine translation, Statistical-based machine translation, and Neuro-machine translation are analyzed. The scientific work done in the field of machine translation in Uzbekistan is also discussed.  An analysis of the paratranslator platform created in Uzbek linguistics is also provided.

References

Abdurakhmonova N. Linguistic support of machine translation. (Monography) – Tashkent, 2018.

Abdurakhmonova N. Computer linguistics. – Tashkent: Nodirabegim, 2021. –B.225.

Rahimov A. Fundamentals of computer linguistics. –T., 2011. – B.143.

Philipp Koehn. A Beam Search Decoder for Phrase-Based Statistical Machine Translation Models. Machine Translation: From Real Users to Research 6th Conference of the Association for Machine Translation in the Americas, AMTA 2004. Washington, DC, USA, September/October 2004. – P. 65

https://paratranslator.uz/en/

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Published

2025-12-21

How to Cite

Shamsiyeva Gulshoda. (2025). The Evolution Of Machine Translation. Stanford Database Library of American Journal of Philological Sciences, 5(12), 200–204. Retrieved from https://oscarpubhouse.com/index.php/sdlajps/article/view/149

Issue

Vol. 5 No. 12 (2025)

Section

Articles

License

Copyright (c) 2025 Shamsiyeva Gulshoda

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.