In recent years, research in the field of Natural Language Processing (NLP) has increased the demand for automated text analysis across multiple languages, including Uzbek. The multi-form, morphologically complex, and stylistically diverse nature of texts written in Uzbek poses certain challenges for automatic analysis. The central focus of this article is the automatic normalization of Uzbek texts—that is, the process of text normalization. It is dedicated to studying the linguistic and technological issues that arise during automatic text normalization in the Uzbek language. Complex morphological structures, polyform words, dialectal variants, Cyrillic-Latin script differences, and non-standard expressions complicate this process. The results of this research contribute to the deeper digital processing of the Uzbek language and to improving the quality of systems for machine translation, speech-to-text conversion, and text analysis.

Uzbek language, text normalization, natural language processing

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