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

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Published: 16.09.2026

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Svitlana Krasniuk
Kyiv National University of Technologies and Design

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.

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Data Availability Statement

All data supporting the findings of this study are presented in the text of the scientific work.

Issue

No. 309 (2026): 14th ISPC «Global and Regional Aspects of Sustainable Development» (September 16-18, 2026; Copenhagen, Denmark)

Section

Philology and Linguistics
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Biography

Svitlana Krasniuk, Kyiv National University of Technologies and Design

Senior Lecturer, Department of philology and translation

How to Cite

Krasniuk, S. (2026). Leveraging and Adapting Big Data Technologies for Modern Dialectological Research: Computational Linguistics under Dynamic and Uncertain Conditions of Systemic Risks. Scientific Collection «InterConf», 309, 61–68. https://interconf.openpubarchive.com/index.php/proceeding/article/view/93

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