Badorina L. Іformation processes in management of innovation projects

The thesis is connected with development of multifunctional models and methods studying text answers with the purpose to determine their coincidence. Methods of text answer processing are complicating the opportunity of the element analysis of the text answer and the reference answer which is saved in the database, and impose restrictions on the format of the open type problem; therefore, it is necessary to construct a model of analytical calculation of a relevant parameter. Author proposes the linguistic multifunctional model that connects the terms of the subject sphere. The studying of text answers to determine semantic coincidence with the help of the proposed method is used. The procedure of testing provides a developed answer in any form, that is with his or her own words in natural language. In the latter case it is possible to appreciate the student’s knowledge only by comparative text analysis of the answer with the set standard reference text and to assess their relevance. All word-forms, terms of the subject domain and grammatical structures of the statement should be considered and assessed with the use of all possible synonyms. The developed model of processing the answers of the one who is taught, on the open type problem allows to connect reference definitions and answers in subject terms which enables to analyze the testeed's answer and to form the estimation of the latter's knowledge.