Hybrid ai in contemporary machine linguistics in context of global philological trends

Abstract

Purpose. The purpose of this article is to analyze the features of using hybrid artificial intelligence in philology and linguistics, and to determine its functional role in the context of modern global philological trends. The study aims to research the integration of computational methods with traditional linguistic approaches to identify promising areas for the development of hybrid intelligent technologies. Methodology. The research is based on the interdisciplinary synthesis of humanitarian, mathematical, and technical approaches. The analysis focuses on hybrid artificial intelligence models that combine machine learning, neural networks, and symbolic programming with formalized linguistic rules. This approach allows for overcoming the limitations of purely statistical or neural network models by providing a more comprehensive understanding of semantic and cultural text characteristics. Results. The study identifies that the current stage of philology is characterized by an intensive digital transformation and the formation of "Digital Philology". Hybrid intelligent systems are actively used for Natural Language Processing (NLP), automated discourse analysis, and the study of intercultural communication. It is established that combining deep neural networks with formalized grammatical rules is crucial for processing languages with complex morpho№ 130 logical systems. Such systems facilitate high-quality automated translation and the identification of hidden semantic structures in large-scale text arrays. Conclusions. The introduction of hybrid AI forms a qualitatively new paradigm in philology, transforming it from a predominantly interpretive discipline into a field that actively utilizes computational data analysis. The integration of these technologies significantly expands the methodological tools of linguistics and increases the efficiency of analyzing complex language structures. Future research prospects are linked to the development of intelligent systems capable of capturing complex pragmatic and cultural aspects of social communication.