ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 5. Vol. 27. 2021

DOI: 10.17587/it.27.267-274

S. M. Salibekyan, Assistant Professor, e-mail: ssalibekyan@hse.ru, National Research University Higher School of Economics, Moscow, Russian Federation

Object-Attribute Approach for Semantic Analysis of Natural Language

The article describes the methodology of semantic analysis of natural language (NL) and semantic search in it, which includes: the general stages of analysis of NL, the format of the semantic network for presenting the meaning of the text, words polysemy analysis, semantic and syntactic agreement of words, etc. The method is based on the object-attribute principle of organization of calculations and data structures, belonging to the dataflow class.
Keywords: Semantic analysis of natural language, semantic network, graph-rewriting system, dataflow computing system, semantic-syntactic analysis of natural language, graph-transforming system

P. 267–274

Acknowledgements: This work was carried out with the financial support of the RFBR grant in the framework of the scientific project No. 20-07-00958

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