O‘ZBEK TILINING NEYRON TARMOQLARI VA SUN’IY INTELLECT TIZIMLARIDA: LINGVISTIK MUAMMOLAR VA YECHIMLAR
This article is devoted to one of the most pressing issues in modern linguistics - the study of linguistic problems in the process of integrating the Uzbek language into artificial intelligence and neural network systems. The research identifies systemic errors in the analysis of the agglutinative nature of the Uzbek language by neural networks, particularly regarding morphological ambiguity and complex syntactic structures, and provides a scientific basis for their origins. During the study, the capabilities of artificial intelligence models (such as ChatGPT, Gemini) for semantic understanding of Uzbek texts and the translation of phraseological units were statistically analyzed. Furthermore, practical recommendations were developed for utilizing a synthesis of neural networks and rule-based hybrid models to overcome existing linguistic barriers, as well as for the formation of high-quality linguistic datasets. The results obtained are of significant practical importance in enriching the national corpus of the Uzbek language, improving the quality of machine translation, and ensuring the viability of the national language in the digital space.
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