Innovative machine learning in contemporary philology: Science and practice in the SHIVA world.

Abstract

The article explores the features of the application of machine learning technologies in modern philological science and practice in the conditions of the SHIVA-world. The main directions of using machine learning methods in corpus linguistics, computational semantics, stylometry, digital textology, discourse analysis, machine translation and intelligent educational technologies are considered. It is substantiated that the integration of computational methods with traditional philological approaches forms a new research paradigm that ensures increased efficiency of the analysis of linguistic and literary phenomena while maintaining the leading role of philological interpretation of the results.