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Article examines semantic analysis techniques for processing scientific texts, indicating new technology for efficiency.
This article examines methods and models of semantic analysis that have been developed based on the concept of phraseological conceptual analysis of texts (PCAT) for solving analytical and synthetic information processing problems using the system of inflectional classes of the Russian language, the principle of linguistic analogy, the centroid-context model (CCM), and a wide range of submodels developed based on the CCM. The proposed methods make it possible to create a suite of software and declarative tools to implement diverse technologies for the processing and analysis of scientific and technical documents at a large multisector information center. This new scientific approach to multilevel semantic analysis expands the range of domestic technologies for processing Russian-language scientific and technical texts.
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Кан et al. (2026) studied this question.
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