Algorithms for Multilingual Analysis of the Uniqueness of Texts based on Lexically Related Information Components | Научно-инновационный портал СФУ

Algorithms for Multilingual Analysis of the Uniqueness of Texts based on Lexically Related Information Components

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 2nd International Scientific Conference on Advances inScience, Engineering and Digital Education, ASEDU 2021

Год издания: 2022

Идентификатор DOI: 10.1063/5.0104138

Аннотация: 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. © 2022 American Institute of Physics Inc.. All rights reserved.

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Издание

Журнал: AIP Conference Proceedings

Выпуск журнала: Vol. 2647

Номера страниц: 50026

ISSN журнала: 0094243X

Издатель: American Institute of Physics Inc.

Персоны

  • Kovalev I.V. (Siberian Federal University, Krasnoyarsk, Russian Federation, Krasnoyarsk State Agrarian University, Krasnoyarsk, Russian Federation, China Aviation Industry General Aircraft Zhejiang Institute Co., Ltd., China, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation)
  • Kovalev D.I. (Krasnoyarsk State Agrarian University, Krasnoyarsk, Russian Federation, Krasnoyarsk Science and Technology City Hall, Krasnoyarsk, Russian Federation)
  • Voroshilova A.A. (Siberian Federal University, Krasnoyarsk, Russian Federation, Krasnoyarsk Science and Technology City Hall, Krasnoyarsk, Russian Federation)
  • Testoyedov N.A. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation, JSC “Academician M F Reshetnev Information Satellite Systems”, Zheleznogorsk, Russian Federation)
  • Efa S.G. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation)

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