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May 8, 2026Automatic Documentation and Mathematical Linguistics

Methods of Semantic Analysis of Texts

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Authors

АКА. В. КанАХА. А. ХорошиловYNY. V. Nikitin

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Overview

Article examines semantic analysis techniques for processing scientific texts, indicating new technology for efficiency.

Key Points

  • This research aims to explore and enhance methods for semantic analysis related to Russian-language scientific and technical texts.
  • Developed models based on phraseological conceptual analysis of texts (PCAT).
  • Utilized inflectional classes of the Russian language and linguistic analogy principles.
  • Applied the centroid-context model (CCM) and various submodels for analytical processing.
  • Proposed methods allow for the creation of software tools for efficient document analysis.
  • Introduced a new scientific approach that expands the capabilities of semantic analysis technologies.
  • Enhanced information processing for large multisector centers working with Russian-language texts.

Cite This Study

Кан et al. (2026) studied this question.

synapsesocial.com/papers/69fd7ddcbfa21ec5bbf06116https://doi.org/10.3103/s0005105525701560
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