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  • Дискурсивно-прагматические характеристики некоторых макроструктур как лингводидактического материала в современном французском языке
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Subject
News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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Дискурсивно-прагматические характеристики некоторых макроструктур как лингводидактического материала в современном французском языке

С. 92–102.
Nikolayeva I. V.
Language: Russian
Full text
Keywords: дискурскогнитивный подходфреймframediscoursethe cognitive approach

In book

Подолання мовних та комунікативних бар'єрів: методика викладання гуманітарних дисциплін студентам немовних спеціальностей
Kiev: Університет «Україна», 2013.
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Abstract Large Language Models (LLMs) frequently produce fluent but unverifiable reasoning, resulting in potential hallucinations and faulty inferences. This study proposes a logic programming-based verification framework ValidLogic4LLM in which the reasoning expressed by an LLM is transformed into a logic program (LP), probabilistic LP, defeasible LP and abductive LP representing world knowledge and a given ...
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