INFORMATION TECHNOLOGIES, NEURAL NETWORKS, AND MODERN LINGUISTICS: THE ROLE OF LANGUAGE AND IT TECHNOLOGIES
Abstract
The article examines the integration of information technologies and neural networks within modern linguistic research. It focuses on the evolution of artificial neural networks and their application in solving linguistic problems, including natural language processing, machine translation, and the development of intelligent agents. The study analyzes neural network architectures, training algorithms such as backpropagation, and structural optimization methods like genetic algorithms. The role of neural networks in handling complex linguistic structures, pattern recognition, and enhancing the efficiency of text analysis is critically evaluated. The article highlights practical implementations in optical character recognition and syntactic analysis, emphasizing the transformative impact of IT technologies on contemporary linguistics.
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