Semantic standards and knowledge transfer in the problem of knowledge assessment on the basis of open tests

Abstract

This paper is devoted to the problem of textual information transfer between experts and trainees in a computer-aided system for learning and testing of knowledge. A method is developed for the revelation of a semantic standard in a language usage situation (LUS) on the basis of word clustering by the occurrence frequency in semantically equivalent (SE) phrases in natural language (NL). An approach is presented to the revelation of stems and inflections in a word through the analysis of the occurrence frequency of letters in different positions with respect to the beginning and end of a word in the context of a LUS. An algorithm is developed for the extraction of structural units that correspond to syntagmas and determine the lexico-syntactic relations within a feature description of a LUS.