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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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Частотные списки как инструмент поиска лингвистических коррелятов социальных ролей говорящего

Вестник Бурятского государственного университета. Философия. 2018. Т. 2. № 2. С. 33–41.
Попова Т. И.

The paper deals with analysis of frequency lists, compiled on the basis of speech transcripts of one informant's audio recordings from the ORD Speech corpus. Study material consists of 5 episodes in which the informant acts in social roles, opposing each other on the principle of asymmetric social relations: the men's role as a husband when communicating with his wife and when communicating with clients, identified in the ORD Speech corpus as a service. The subject of the study are the most commonly used units from the upper band of the frequency list. They can be interpreted as linguistic correlates of the speaker`s social role due to their specificity, but the special subcode, which they create, is described in linguistics only in the theoretical aspect. In this case, the situation of formal communication turns out to be marked. Further analysis of the extracted units will allow to determine what is the significance of the social role in communication and what is the position of the communicative situation when code-switching behavior

Research target: Philology and Linguistics
Language: Russian
DOI
Text on another site
Keywords: коммуникативные стратегиисоциолингвистикакорпусная лингвистикачастотные списки
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