The purpose of the research is to develop an integrated system and a set of
linguistic tools that combine machine learning methods with language rules for the automatic and accurate processing of unstructured textual information in the Kazakh language. Special attention is given to the analysis of real-world Kazakh-language texts from news sources, where sentence structures vary and do not conform to formalized patterns, requiring flexible and adaptive solutions in the field of computational linguistics