PROBLEMS AND SOLUTIONS IN AUTOMATIC TRANSLATION OF UZBEK IDIOMS AND FIGURATIVE EXPRESSIONS

Authors

  • Gulshoda Abdumalikova Master’s Student, Tashkent State University of Oriental Studies Tashkent, Uzbekistan
  • Charos Tukhtasinova Master’s Student, Tashkent State University of Oriental Studies Tashkent, Uzbekistan

DOI:

https://doi.org/10.55640/eijmrms-special-49

Keywords:

machine translation, NMT, literal translation, idiom

Abstract

This article analyzes the challenges encountered in the auto­matic translation of Uzbek idioms and figurative expressions, examines the errors of NMT models, and proposes a computational linguistic model designed to identify idioms and translate them figuratively based on UzbekWordNet and semantic networks.

References

Koehn P., Knowles R. Six challenges for neural machine translation //arXiv preprint arXiv:1706.03872. – 2017.

Bahdanau D. Neural machine translation by jointly learning to align and translate //arXiv preprint arXiv:1409.0473. – 2014.

Baziotis C., Mathur P., Hasler E. Automatic evaluation and analysis of idioms in neural machine translation //Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. – 2023. – С. 3682-3700.

https://es.wikipedia.org/wiki/WordNet

Agostini A. et al. Uzwordnet: A lexical-semantic database for the uzbek language //Proceedings of the 11th Global Wordnet conference. – 2021. – С. 8-19.

https://inlibrary.uz/index.php/crjps/article/view/57587

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Published

2026-01-29

How to Cite

Gulshoda Abdumalikova, & Charos Tukhtasinova. (2026). PROBLEMS AND SOLUTIONS IN AUTOMATIC TRANSLATION OF UZBEK IDIOMS AND FIGURATIVE EXPRESSIONS. European International Journal of Multidisciplinary Research and Management Studies, 1(01), 303–308. https://doi.org/10.55640/eijmrms-special-49

Issue

Section

Articles