ADAPTATION OF ENGLISH NEOLOGISMS INTO THE UZBEK LANGUAGE IN DIGITAL COMMUNICATION: A LINGUISTIC AND AI-BASED APPROACH

The rapid development of digital communication technologies has accelerated the global spread of English-language neologisms into many world languages, including Uzbek. Social networks, online platforms, messengers, blogs, and artificial intelligence systems have become the primary channels through which new lexical units enter everyday communication. This study investigates the linguistic adaptation of English neologisms in Uzbek digital discourse from lexical-semantic, morphological, phonetic, and pragmatic perspectives while also examining the role of artificial intelligence in identifying, classifying, and analyzing such lexical innovations. The research employs descriptive, comparative, corpus-based, and AI-assisted analytical methods to evaluate how English-derived digital terms are integrated into Uzbek communication practices. The findings demonstrate that digital discourse significantly influences the modernization of Uzbek vocabulary and accelerates lexical borrowing processes. Moreover, AI technologies contribute to automated language monitoring, semantic classification, and prediction of lexical trends in online communication. The study highlights the necessity of developing linguistically and culturally adapted approaches for regulating and standardizing digital neologisms in Uzbek.