An expert system for evaluating language patterns using nonparametric statistics

dc.contributor.authorShabelnyk Т.
dc.contributor.authorProkopovych S.
dc.description.abstractThe 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.
dc.identifier.citationShabelnyk 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.
dc.identifier.urihttps://repository.hneu.edu.ua/handle/123456789/39744
dc.language.isoen
dc.subjectexpert system
dc.subjectnon-parametric statistical methods
dc.subjectlanguage regularities
dc.subjectsoftware
dc.titleAn expert system for evaluating language patterns using nonparametric statistics
dc.typeArticle

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