Algorithms for multilingual analysis of the uniqueness of texts based on lexically related information components.

Autor: Kovalev, I. V., Kovalev, D. I., Voroshilova, A. A., Testoyedov, N. A., Efa, S. G.
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Zdroj: AIP Conference Proceedings; 11/1/2022, Vol. 2647 Issue 1, p1-7, 7p
Abstrakt: The article is devoted to computer modeling and development of algorithmic and information tools to support multilingual analysis of the uniqueness of texts on the basis of lexically related information components with the formation of interlingual/intralingual associative links. To implement the proposed methodology in the process of multilingual analysis of the uniqueness of texts, algorithms for the formation of an information and terminological basis as a set of lexically related components are proposed. A comparative analysis of the algorithms has been carried out. It is shown that the choice of the most effective algorithms largely depends on the situation and the requirements for the information and terminological basis in the multilingual analysis of texts for uniqueness. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index