Please use this identifier to cite or link to this item: https://er.knutd.edu.ua/handle/123456789/35331
Title: Evolutionary Optimization Strategies in Modern Computational Linguistics amid Dynamic Uncertainty, Turbulence, and Systemic Philological Risks
Authors: Krasniuk, Svitlana
Keywords: digital philology
machine linguistics
natural language processing (NLP)
optimization
evolutionary computing
genetic algorithms
evolutionary strategies
artificial intelligence
Issue Date: 8-Aug-2026
Publisher: Bookmundo
Citation: Krasniuk Svitlana. Evolutionary Optimization Strategies in Modern Computational Linguistics amid Dynamic Uncertainty, Turbulence, and Systemic Philological Risks / S. Krasniuk // Integration of Science and Innovation for Sustainable Development : сonference proceedings of the 2nd International Scientific Conference (August, 08, 2026, Utrecht). – Utrecht, Netherlands : Bookmundo, 2026. – pp. 156–160. – URL: https://researcheurope.org/book-161/
Abstract: The article examines the features of the application of evolutionary optimization strategies in modern machine linguistics under conditions of uncertainty, turbulence, and systemic risks. Their capabilities in optimizing language models, natural language processing, and integration with artificial intelligence technologies are shown. The prospects for the use of evolutionary computing in modern digital philology are determined
URI: https://er.knutd.edu.ua/handle/123456789/35331
Faculty: Факультет культури і креативних індустрій
Department: Кафедра філології та перекладу (ФП)
Appears in Collections:Матеріали наукових конференцій та семінарів

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