SEMANTIC INTERPRETATION OF PHRASEOLOGICAL UNITS IN ARTIFICIAL INTELLIGENCE–BASED TRANSLATION SYSTEMS: CHALLENGES AND ENHANCEMENT STRATEGIES

Authors

  • Shukurova Yulduz Yaxshimurotovna Department of Foreign Language and Social Sciences, Asia International University, English Teacher Bukhara, Uzbekistan

DOI:

https://doi.org/10.55640/

Keywords:

Artificial Intelligence (AI); Neural Machine Translation (NMT); Transformer architecture; linguistic error detection; Automatic Post-Editing (APE); Quality Estimation (QE); Reinforcement Learning from Human Feedback (RLHF); phraseological units; semantic accuracy; morphology-aware modeling; Uzbek language translation; low-resource languages.

Abstract

The rapid development of artificial intelligence–based machine translation systems has significantly improved cross-linguistic communication; however, linguistic errors remain a persistent challenge, particularly for morphologically rich and low-resource languages such as Uzbek. This study examines the theoretical foundations of identifying and correcting linguistic errors in neural machine translation (NMT) systems, with specific attention to morphological, lexical, semantic, syntactic, stylistic, and idiomatic inaccuracies. The agglutinative structure of Uzbek, combined with its rich phraseological inventory and flexible syntax, increases the likelihood of structural misinterpretation and semantic distortion in AI-generated translations.

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References

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Published

2026-02-22

Issue

Vol. 5 No. 02 (2026): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

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

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

SEMANTIC INTERPRETATION OF PHRASEOLOGICAL UNITS IN ARTIFICIAL INTELLIGENCE–BASED TRANSLATION SYSTEMS: CHALLENGES AND ENHANCEMENT STRATEGIES. (2026). Journal of Multidisciplinary Sciences and Innovations, 5(02), 1805-1808. https://doi.org/10.55640/

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