Browsing by Author "Demidovich, Inna M."

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    Constructive-Synthesizing Modeling of Natural Language Texts
    (Khmelnytskyi National University, Khmelnytskyi, 2023) Shynkarenko, Viktor I.; Demidovich, Inna M.
    ENG: Means for solving the problem of establishing the natural language texts authorship were developed. Theoretical tools consist of a constructors set was developed on the basis of structural and production modeling. These constructors are presented in this work. Some results of experimental studies based on this approach have been published in previous works by the author, the main results should be published in the next ones. Constructors developed: converter of natural language text into tagged, tagged text into a formal stochastic grammar and the authors style similarity degree establishment of two natural language works based on the coincidence of the corresponding stochastic grammars (their substitution rules). In this paper, constructors are developed and presented that model a natural language text in the form of a stochastic grammar that displays the structures of sentences in it. This approach allows you to highlight the syntactic features of the construction of phrases by the author, which is a characteristic of his speech. Working with a sentence as a unit of text for analyzing its construction will allow you to more accurately capture the author's style in terms of the words use, their sequences and speech style characteristic. It allows you not to be tied to specific parts of speech, but reveals the general logic of constructing phrases, which can be more informative in terms of the author's style characteristics for any text. The presented work is a theoretical basis for solving the problems of the text authorship establishing and identifying borrowings. Experimental studies have also been carried out. The statistical similarity of solutions to the problems of establishing authorship and identifying borrowings was experimentally revealed, which will be presented in the next article of the authors. The proposed approach makes it possible to highlight the semantic features of the author's phrases construction, which is a characteristic of his speech. Working with a sentence as a unit of text to analyze its construction will allow you to more accurately determine the author's style in terms of the use of words, their sequences and characteristic language constructions. Allows not to be attached to specific parts of speech, but reveals the general logic of building phrases. It is planned to use the created model in the future to determine the authorship of natural language texts of various directions: fiction and technical literature.
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    Methods and Software for Significant Indicators Determination of the Natural Language Texts Author Profile
    (Інститут програмних систем НАН України, Київ, 2023) Shynkarenko, Viktor I.; Demidovich, Inna M.
    ENG: Methods for the formation and optimization of author profiles are presented. The author profile is an image - a vector in a multidimensional space, which components are author's texts measurements by a number of methods based on 4-grams, stemming, recurrence analysis and formal stochastic grammar. The author's profile is a model of his language, including vocabulary, sentence syntax features. A comparative analysis of the each of the methods effectiveness is carried out. By means of the genetic algorithm, a reduced profile of the author is formed. Insignificant indicators are excluded, which allows to reduce their number by 20%. The reduced author's profile contains attributes that are significant for this author and is an effective attribution of a particular author.