Abstract:

Digital Humanities (DH) represent a dynamic and evolving field in science, gaining prominence against a backdrop of diminishing focus on traditional humanities research in many universities and scientific centers. This field synergistically merges methodologies from classic humanities with information technology, encompassing such areas as philology, philosophy, and cultural studies. This fusion provides contemporary educational tools and opens new educational opportunities.

The incorporation of modern technologies and the integration of scientific and mathematical knowledge elevate the status of DH, broadening prospects for its dynamic development. Digital Humanities are viewed as a natural extension and expansion of the traditional humanities. The authors substantiate the inevitability using digital tools in philology and linguistics, exploring new research objects such as massive text collections and language databases. It is essential to acknowledge that this approach to education confirms that a language system, like any naturally evolved adaptive system, maintains its integrity despite being divided into subsystems and having various elements identified. This integrity is ensured by the interconnectedness of subsystems and elements, whose properties are not random but functionally coherent. The article also examines tools and technologies for working with textual data in linguistics and their application to various tasks in philology.

An experiment was conducted as part of this study, with the sample being representative. Based on the results, the authors propose a comprehensive model for analyzing text corpora, creating lexis databases, developing methodological recommendations for their use in the educational process, as well as describing and analyzing the outcomes of educating philology students. The model's validation involved experimental teaching, with the target groups showing superior performance and skill formation compared to control groups.

Therefore, the study's hypothesis is confirmed: the application of corpus technologies, automatic text processing tools, network analysis methods, tools for working with structured text markup, and other relevant technologies in contemporary humanities research is an essential educational resource in language study, linguistic hypothesis formation, and the development of natural language data processing systems by students.

Keywords:

Digital humanities, information technology in education, linguistic data processing.