A TEXT GENERATION MODEL WAS DEVELOPED AT PERM POLYTECH

4 July 2022 127

As the creator of the program says, the algorithm used in the model is functional and generates all words from letters according to the mathematical rules of combinatorics and matrix calculus.

Therefore, for the Russian alphabet, the formation of sentences begins with the compilation of two-letter words. Then, by multiplying the row by each column of the matrix, a complete system of all three-letter words is obtained. Thus, the matrix basis forms the entire set of words of this alphabet.

After generating all variants of words by connecting dictionaries, only those that fit the meaning at a certain moment are selected and left in the matrix. The remaining words that do not match the lexical meaning are considered zeros and are not issued by the system by default. After adding a dot or a space to the previously received basis, sentences are formed.

Such a hierarchical matrix basis solves the problem of visualization and simultaneously fixes the place of each word and sentence in the text. This opens the way to the creation of information technology for the analysis, comparison and recognition of texts by various authors and their identification.

Associate Professor of the Department “General Physics” Vyacheslav Kirsanov said that the proposed software matrix text generator surpassed all natural generators (writers) and could be used in an artificial intelligence system. However, the human text generator had less redundancy due to the use of homonyms and other difficult-to-understand matrix of lexical meanings.

According to Vyacheslav Kirsanov, in the long run, artificial intelligence, possessing absolutely all the words of a certain language, relying on hierarchical bases of words and sentences, bringing meaning to new words, will write texts, articles, books and other printed products.

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