This article explores the key challenges related to syntactic markup in the Uzbek language. As an agglutinative language with free word order, Uzbek presents significant difficulties for natural language processing (NLP). Particular attention is paid to morphological ambiguity, the lack of large-scale annotated corpora, and the insufficient adaptation of algorithms to the linguistic specificities of Uzbek. Solutions are proposed, including the development of specialized corpora, adaptation of existing machine learning models, and the creation of new markup algorithms tailored to the language.

Syntactic markup, Uzbek language, morphology

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