TRANSFORMATION OF KAZAKH PROVERBS AND SAYINGS IN DIGITAL DISCOURSE AND THEIR ADAPTATION FOR ARTIFICIAL INTELLIGENCE SYSTEMS
Keywords:
paremiology, paremiogenesis, Kazakh proverbs and sayings, proverb transformation, paremiological frame, expectation effect, artificial intelligence, large language model, JSONAbstract
This article examines contemporary paremiogenesis in the Kazakh language in relation to digital communication. Using traditional proverbs and their transformed versions as material, the study describes the stability of structural frames, the pragmatic mechanism of the expectation effect, and the conflict between inherited and emerging values in network discourse. Three types of proverb transformation are distinguished: distorted, antithetical, and transient proverbs. The article also argues that proverbs and their variants should be represented as structured data for artificial intelligence systems and large language models. A JSON-based model is proposed for recording the canonical form, transformed form, logical model, semantic interpretation, and pragmatic function of a proverb. Such an approach can help distinguish original, modified, ironic, and temporary proverb forms and reduce the risk of reliable data debt in Kazakh-language digital resources.
Keywords: paremiology; paremiogenesis; Kazakh proverbs and sayings; proverb transformation; paremiological frame; expectation effect; artificial intelligence; large language model; JSON.
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Copyright (c) 2026 Аян Экрем, Оркен Курманалиулы Абдиров (Автор)

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