PECULIARITIES OF THE USAGE OF ARTIFICIAL INTELLIGENCE METHODS TO SOLVE DIGITAL TRANSLATION PROBLEMS IN THE MODERN LINGUISTICS (BASED ON THE UKRAINIAN-ENGLISH TRANSLATION)

Peculiarities of the usage of artificial intelligence methods to solve digital translation problems in the Modern Linguisticshave been demonstrated in this article. Availability and necessity in the AI translation systems for automatic processes that can be created as neural networks are analyzed. The overall goal of this work was to use Plural Theory for decryption the texts of related systems of writing by referring to a common archaic source. These point out the advantages and practicability of using the conceptual apparatus of set theory, index notation, generality quantifiers and the Euler-Vienna diagram.Taking into account the phonemic and numerical meanings, we formally describe the most common spoken European alphabets: Greek, Latin and Cyrillic. The key contribution of this work is the solution it provides the application of set theory in the context of Gaussian distribution allows changing Index values of alphabets, which will improve the quality of expert systems of automatic translation.