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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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Computational Linguistics and Intellectual Technologies. Papers from the Annual International Conference “Dialogue” (2025)

Issue 23: Supplementary volume. Диалог, 2025.
Under the general editorship: Селегей В., В. И. Беликов, Богуславский И., Б. В. Добров, Д. О. Добровольский, Кобозева И. М., Е. Б. Козеренко, М. А. Кронгауз, Н. В. Лукашевич, Д. Маккарти, П. Наков, Й. Нивре, В. Раскин, Э. Хови, Т. О. Шаврина, С. А. Шаров, Т. Е. Янко

The volume includes 9 papers from the international conference on computational linguistics and intelligent technologies “Dialogue 2025,” representing a wide range of theoretical and applied research in the fields of natural language description, modeling of linguistic processes, and the development of practically applicable computational linguistic technologies. Intended for specialists in theoretical and applied linguistics and intelligent technologie

Chapters
Readability assessment of written Adyghe using a baseline approach
Petrunina U., Zdorova N., , in: Computational Linguistics and Intellectual Technologies. Papers from the Annual International Conference “Dialogue” (2025)Issue 23: Supplementary volume.: ., 2025. P. 1100–1109.
The study introduces a cross-linguistic approach extending the English-based Flesch Reading Ease formula for the assessment of Adyghe texts’ readability level. The method relies on the corpus-based analysis of Adyghe shallow linguistic features, i.e. syllable length, word count, and sentence length. It allows to adjust the Flesch formula in accordance with these features by means of natural language ...
Added: April 24, 2026
Research target: Computer Science Philology and Linguistics
Language: English
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Keywords: computational linguistics
Computational Linguistics and Intellectual Technologies. Papers from the Annual International Conference “Dialogue” (2025)
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This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or ...
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Computational linguistics and intellectual technologies. Papers from the Annual International Conference "Dialogue" (2025)
[б.и.], 2025.
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