Application of Digital Method for Processing Distributed Digital Linguistic Resources

This article addresses the challenge of effectively processing and utilizing distributed digital linguistic resources to enhance the teaching of philological disciplines. Current efforts emphasize the application of digital methods, including statistical, corpus-based, and lexicographic techniques, integrated with artificial intelligence (AI) tools, such as machine learning and neural networks. The proposed solution centers on the development of a virtual lexicographic laboratory, the “Multimedia Dictionary of Infomedia Literacy,” which offers an innovative digital approach to language education, linguistic research, and telecommunication applications. The primary idea is to employ these digital and AI-driven methods to analyze and organize vast amounts of linguistic data, making them accessible and useful for educational purposes. This approach has been tested in educational environments, demonstrating effectiveness in advancing academic resilience, particularly among doctoral students engaged in philological research. Key results indicate that the digital methods facilitate deeper engagement with language content, offering tools that adapt to individual learning needs and enhance the processing of large datasets. Case studies, including the Science4Brave Cluster, highlight the role of these tools in fostering critical thinking and academic resilience in times of crisis. Significantly, the laboratory’s tools have shown value in telecommunication by supporting the transmission and analysis of linguistic information, adapting content for efficient communication across digital platforms. This work underscores the potential of digital and AI-enhanced methods in processing linguistic resources, advancing language learning, and contributing to the broader discourse on the role of technology in modern linguistics.