FOUR MODELS OF ADOPTING ARTIFICIAL INTELLIGENCE TERMS IN UZBEK AND THEIR QUANTITATIVE RATIO

Solijonova Makhbubakhon Boriboy qizi (Independent Researcher, Department of Foreign Languages Philology, Faculty of Philology, Andijan State University, Andijan)

International Journal of Literature and Language Studies
Vol. 5 No. 08 (2026): International Journal of Literature and Language Studies

The article describes the pathways by which artificial intelligence terms enter Uzbek as four models: transliteration, semantic calque, hybrid form, and lacuna/periphrasis. Based on a sample of 150 core terms, the quantitative ratio of the models was established: transliteration — 63 terms (42.0 per cent), semantic calque — 52 (34.7 per cent), hybrid form — 21 (14.0 per cent), lacuna/periphrasis — 14 (9.3 per cent). The predominance of transliteration indicates that Uzbek AI terminology has not yet fully completed the normalisation stage.