Innovative intelligent management of philology research projects in times of instability and crisis

Abstract

Modern philology is undergoing profound transformation under the influence of digitalization and artificial intelligence (AI). Traditional methods of text analysis, translation, and interpretation are increasingly being supplemented or replaced by intelligent technologies such as machine learning, natural language processing, and big data analytics. This shift is particularly critical in periods of instability and crisis, when conventional research and educational practices are limited. AI enhances the sustainability and adaptability of philological projects by enabling automated analysis, intelligent translation systems, adaptive learning platforms, and digital humanities initiatives. A key trend is the hybridization of AI, which integrates symbolic approaches (logic, rules, ontologies) with subsymbolic methods (machine learning and deep neural networks). Such integration allows researchers to account for both structural and statistical features of language, expanding the potential of philological studies. In this context, AI should be considered not only as a supportive tool but as a fundamental technology of innovative management in philology, ensuring resilience, efficiency, and long-term development of projects in times of global uncertainty and crisis.