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News
September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.
September 4, 2026
‘Hedgehog Versus ‘Relatives: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.

 

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?

Shiftry: Web Service for Diachronic Analysis of Russian News

P. 485–501.
Kutuzov A., Fomin V., Mikhailov V., Rodina J.

We present the ShiftRy web service. It helps to analyze temporal changes in the usage of words in news texts from Russian mass media. For that, we employ diachronic word embedding models trained on large Russian news corpora from 2010 up to 2019. The users can explore the usage history of any given query word, or browse the lists of words ranked by the degree of their semantic drift in any couple of years. Visualizations of the words’ tra-jectories through time are provided. Importantly, users can obtain corpus examples with the query word before and after the semantic shift (if any). The aim of ShiftRy is to ease the task of studying word history on short-term time spans, and the influence of social and political events on word usage. The service will be updated with new data yearly.

Language: English
Text on another site
Keywords: русский языкRussiannewsсемантический сдвигsemantic shiftsdiachronic word embeddingsweb serviceдиахронические эмбеддингивеб-сервискорпус новостных текстов
Publication based on the results of:
Development of Mathematical Models and Methods for Recommender Systems and Natural Language Processing (2020)

In book

Компьютерная лингвистика и интеллектуальные технологии: по материалам ежегодной международной конференции «Диалог» (Москва, 17–20 июня 2020 г.)
Селегей В. Issue 19(26): дополнительный том. , -, 2020.
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