LINGUISTICS OF NEURAL NETWORKS AS A PARADIGM OF MODERN LANGUAGE SCIENCE

Abstract

The article is dedicated to substantiating linguistics of neural networks as a new scientific field emerging at the intersection of linguistics, computer science, and cognitive science. The study describes and compares computational and corpus linguistics, highlighting their objectives and interrelation with artificial intelligence. Special attention is paid to the terminological framework of this emerging discipline, examining the stages of text processing by neural networks on the example of ChatGPT-4 and tasks addressed within natural language processing, including entity recognition, sentiment analysis, and language model construction. The article emphasizes the significance of linguistics of neural networks in enhancing human-machine interaction, as well as its prospects for applications in creating multimodal models, studying rare languages, and investigating the mechanisms of human cognition. The study presents and characterizes the architectures of modern neural networks. The conclusions of the article lay the foundation for the further development of this interdisciplinary field.