Hybdrid artificial intelligence for philology research amid instability or crisis

Abstract

This article examines the importance of hybrid artificial intelligence (HAI) in philological research during periods of crisis and instability. Hybrid AI, which integrates neural networks, machine-learning methods, expert rules and linguistic models, provides advanced tools for large-scale text analysis, linguistic modelling and automated interpretation of complex language structures. HAI enhances computational linguistics, lexicography, literary studies and intelligent translation by improving semantic detection, stylistic analysis, authorship attribution and culturally sensitive translation. It also supports digital humanities through text reconstruction, corpus studies and manuscript deciphering. Overall, hybrid AI expands analytical possibilities, increases research accuracy and ensures continuity and adaptability of philological studies under crisis conditions, strengthening the resilience and innovation potential of the humanities.