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News
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.
September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

 

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Universal Dependencies for Russian: A New Syntactic Dependencies Tagset

NRU HSE , 2016. No. 44.
Lyashevskaya O., Droganova K., Zeman D., Alexeeva M., Гаврилова Т. С., Mustafina N. S., Шакурова Е. И.
This paper presents the Universal Dependencies tagset (UD v1) as a new annotation scheme for Russian treebanks. The universal list of dependency relations was adopted and extended to comply with certain language-specific syntactic constructions. The tagset was validated, converting two Russian treebanks into the UD format, UD-Russian-SynTagRus and UD-Russian-Google.
Research target: Computer Science Philology and Linguistics
Priority areas: humanitarian IT and mathematics
Language: English
Keywords: русский языксинтаксический анализnatural language processingRussian languageавтоматическая обработка естественного языкаграмматика зависимостей dependency parsinguniversal dependenciesуниверсальные зависимостипарсинг зависимостей
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Систематизация равноправных произносительных вариантов в современном русском языке (на материале орфоэпических словарей)
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The article addresses the problem of selecting and systematizing data for the study of pronunciation variation in contemporary Russian and proposes a solution in the form of a specialized database of codified equivalent pronunciation variants (e.g., simmétriya / simmetríya “symmetry”). The article presents a methodology for identifying, selecting, and organizing such variants into a database. ...
Added: July 23, 2026
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