Object-Attribute Approach for Semantic Analysis of Natural Language

Autor:	S. M. Salibekyan
Rok vydání:	2021
Předmět:	Computer science business.industry Object Attribute Semantic analysis (machine learning) Artificial intelligence computer.software_genre business computer Natural language processing Natural language
Zdroj:	INFORMACIONNYE TEHNOLOGII. 27:267-274
ISSN:	1684-6400
DOI:	10.17587/it.27.267-274
Popis:	he 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4f73291c8da87de0417350e6602ba2ed https://doi.org/10.17587/it.27.267-274 Zobrazit plný text záznamu