Leveraging and Adapting Big Data Technologies for Modern Dialectological Research: Computational Linguistics under Dynamic and Uncertain Conditions of Systemic Risks

Abstract

The article explores the specifics, features and directions of adapting Big Data technologies for modern dialectology within the framework of machine/computational linguistics. The possibilities of processing multimodal dialect data, the use of machine learning, NLP and geoinformation technologies for identifying spatio-temporal linguistic variability are considered. The need for a hybrid and risk-oriented approach in conditions of turbulence, uncertainty and systemic risks is substantiated.