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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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Literature, Language and Computing: Russian Contribution from the LiLaC-2023

Springer, 2025.

This book brings together the selected revised papers representing a multidisciplinary approach to language and literature.  The collection presents studies performed using the methods of computational linguistics in accordance with the traditions of Russian linguistic and literary studies, primarily in line with the Leningrad (Petersburg) philological school. The book comprises the papers allocated into two sections discussing the study of corpora in language, translation, and literary studies and the use of computing in language teaching and translation and in emotional text processing. A unique feature of the presented collection is that the papers, compiled in one volume, allow readers to get an understanding of a wide range of research conducted in Saint Petersburg State University and other Russian leading scientific institutions. Both the classical tradition of Saint Petersburg philology and the results obtained with the help of new computer technologies as a sample of the symbiosis of technologies and traditions, which bring research to a qualitatively new level to arouse interest.

Chapters
Sentiment Analysis of Literary Texts: A Study of Theme and Readers' Preferences in Russian Short Stories from 1900-1930s
Tatiana Sherstinova, Anna Moskvina, Margarita Kirina et al., , in: Literature, Language and Computing: Russian Contribution from the LiLaC-2023.: Springer, 2025. P. 23–35.
Added: December 9, 2023
Russian-language Electronic Fanfiction Database: Creation Principles and Quantitative Metadata Analysis
Максименко П. И., , in: Literature, Language and Computing: Russian Contribution from the LiLaC-2023.: Springer, 2025.
The paper is devoted to the research of fanfiction texts written and published in Russian. The study consists of creating and analyzing an electronic database which contains more than 135,000 fanfiction texts and metadata from the largest Russian-language fanfiction archive “Kniga Fanfikov” (ficbook.net). The data were retrieved through the web-scraping method and processed using Python. ...
Added: December 9, 2023
History of Russia in the XVII-XVIII Centuries in the Texts of School Textbooks of Different Years through the Prism of Sentiment and Topic Modeling Analysis
Kolmogorova A., Борисова К. А., , in: Literature, Language and Computing: Russian Contribution from the LiLaC-2023.: Springer, 2025.
This article discusses the results of an analysis of sentiment and thematic emphases in the texts of Russian history textbooks published at different times: in 1971, 1995, and 2014. We consider those chapters of the textbooks which describe the events of the 17th-18th centuries, one of the most unstable periods in the country's history. The ...
Added: December 10, 2023
Research target: Philology and Linguistics
Language: English
DOI
Keywords: computational linguistics
Literature, Language and Computing: Russian Contribution from the LiLaC-2023
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