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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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Actes de la conférence conjointe JEP-TALN-RECITAL

Vol. 6: Celtic Language Technology Workshop. P. : 2016.
Chapters
Building a Dictionary-Based Lemmatizer for Old Irish
Dereza O., , in: Actes de la conférence conjointe JEP-TALN-RECITALVol. 6: Celtic Language Technology Workshop.: P.: [б.и.], 2016. P. 12–17.
This paper explores the problem of developing NLP tools for morphologically rich and orthographically inconsistent classical languages. It is a case study of building a lemmatizer for Old Irish using only a dictionary and an unlabeled corpus as sources of data. At the current stage, the lemmatizer shows 76.31% average recall score on a corpus ...
Added: October 5, 2017
Research target: Philology and Linguistics
Priority areas: humanitarian IT and mathematics
Language: French
Full text
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Keywords: компьютерная лингвистикаnatural language processingAnglo-Welsh relationshipsваллийский языкIrish languageирландский языкScottish Gaelicдревнеирландский языкCeltic languagesOld Irishкельтские языкибретонский языкшотландский гэльский
Actes de la conférence conjointe JEP-TALN-RECITAL
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