Please use this identifier to cite or link to this item: https://repository.hneu.edu.ua/handle/123456789/39744
Title: An expert system for evaluating language patterns using nonparametric statistics
Authors: Shabelnyk Т.
Prokopovych S.
Keywords: expert system
non-parametric statistical methods
language regularities
software
Issue Date: 2025
Citation: Shabelnyk Т. An expert system for evaluating language patterns using nonparametric statistics / Т. Shabelnyk., S. Prokopovych. // Bulletin of V. N. Karazin Kharkiv National University, series Mathematical modelling. Information technology. Automated control systems - 2025. - Vol. 68. - P. 113-119.
Abstract: The paper focuses on the research of language regularities by methods of non - parametric statistics. The emphasis is placed on how to resolve the common problems regarding the use of non -parametric statistical techniques, in particular the one of semantic marking of sentences in linguistics. The aim of the scientific research is defined as the development of an expert system for evaluating language regularities using non-parametric statistical methods for any language. Research methods. Methods of non-parametric statistics, IDEF4 notation, the programming language C #. The research offers a specialized expert system that uses the C Programming Language to provide automatic questioning of the native speakers with further analysis of the lexical mea ning of word combinations and phrases implemented as a Desktop Program for Windows. The program considers the possibility of taking into account of how to reveal the correspondence of phrases from dictionary files that have different expert assessments.
URI: https://repository.hneu.edu.ua/handle/123456789/39744
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