The intonational system of the Uzbek language, a major Turkic language spoken by about 35 million people, is thoroughly examined in this essay as it relates to the revolutionary field of digital technology. While Uzbek intonation's phonological functions and syntactic correlations have been established by traditional linguistic scholarship, the digital paradigm presents new approaches, difficulties, and wide-ranging applications for its analysis, computational modelling, and deployment. In order to clarify how cutting-edge methods—such as large-scale annotated corpora, machine learning (ML), deep neural networks (DNNs), text-to-speech (TTS) synthesis, automatic speech recognition (ASR), and large language models (LLMs)—are radically changing the understanding and application of Uzbek prosody, this study integrates insights from phonetics, corpus linguistics, computational linguistics, and speech technology. We contend that a synergistic, multidisciplinary strategy that closely combines in-depth empirical phonetic analysis with advanced computer modelling is necessary for the creation of linguistically accurate, natural-sounding, and socially inclusive digital applications for Uzbek. The paper also looks at important applications in human-computer interface (HCI), assistive technologies, dialectal preservation, and computer-assisted language learning (CALL). The special difficulties presented by Uzbek's agglutinative morphology, comparatively free word order, and notable dialectal differences in intonation patterns—all of which need for specialized solutions different from those for Indo-European languages—are highlighted. We wrap up by providing a research roadmap, highlighting the necessity of extensive, publicly accessible digital resources to maintain the language's vitality and technical sovereignty in the twenty-first century.

Uzbek language, intonation, prosody

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