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  • О улози природног семантичког метајезика у дефинисању значења културолошких концепата мерак (срп.),кайф (рус.) (задовољство) и инат (срп.)
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Subject
News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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О улози природног семантичког метајезика у дефинисању значења културолошких концепата мерак (срп.),кайф (рус.) (задовољство) и инат (срп.)

P. 845–861.
Радослава М. Трнавац

THE ROLE OF THE NATURAL SEMANTIC METALANGUAGE IN DEFINING THE MEANING OF THE CULTURAL CONCEPTS MERAK, KAIF, AND INAT Summary In this paper, we describe the approach of the Natural Semantic Metalanguage towards the representation of semantic information in lexicography. We focus on the properties of the Natural Semantic Metalanguage that can improve the presentation of semantic information in dictionaries. We illustrate those properties with the semantic analysis of the cultural concepts merak (‘relish’) and inat (‘spite’) in Serbian, and kaif (‘pleasure’) in Russian. Keywords: Natural Semantic Metalanguage, lexicography, semantic analysis, key cultural concepts, merak (‘relish’), inat (‘spite’), kaif (‘pleasure’).

Language: Serbian
Text on another site
Keywords: lexicographysemantic analysisNatural Semantic Metalanguagekey cultural concepts

In book

Лексикографија и лексикологија у светлу актуелних проблема: Зборник научних радова
Trnavac R. Beograd: Институт за српски језик САНУ, 2021.
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