Specific Features and Distinctive Aspects of Machine Learning in Modern Computational Linguistics AMID SHIVA- and WARMI-World

Abstract

The article considers the features of the application of machine learning technologies in modern machine linguistics in the conditions of uncertainty, turbulence and systemic risks (SHIVA and WARMI concepts). The main directions of using machine learning methods in natural language processing, their advantages, limitations and development prospects are analyzed. The role of intelligent algorithms in the digital transformation of modern philology is shown.