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  • Применение​​ квантитативных ​​корпусных ​​методик ​​для ​​выявления церковнославянизмов​​ в ​​современном ​​русском​ ​языке
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News
April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.
April 27, 2026
Fair Division: How Mathematics Helps to Divide the Indivisible
How can items be allocated among participants so that no one feels short-changed? Alexander Karpov, Assistant Professor at the Faculty of Economic Sciences, and his Singaporean colleague, Prof. Warut Suksompong, set out to find a mathematical answer to this question. In this interview, they discuss how a model of rational preferences is constructed, why one cannot rely on a simple sum of values, and where an algorithm that asks a minimal number of questions can be useful.
April 24, 2026
Electronics of the Future: Why Superconductors and Spintronics Work Together
It was once believed that superconductivity and magnetism avoided each other like the devil avoids holy water. However, modern nanostructures prove the opposite. A Russian theoretical physicist and Indian experimentalists have joined forces to create the electronics of the future—free from energy losses. Nataliya Pugach, Professor at the School of Electronic Engineering at HSE MIEM and Leading Research Fellow at the Quantum Nanoelectronics Laboratory, explains how a long-standing acquaintance in Cambridge grew into a mirror laboratory project with the Indian Institute of Technology Bombay (IIT Bombay), how superconducting spintronics works, and what surprises a researcher in India beyond the university campus.

 

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Применение​​ квантитативных ​​корпусных ​​методик ​​для ​​выявления церковнославянизмов​​ в ​​современном ​​русском​ ​языке

Вестник Православного Свято-Тихоновского гуманитарного университета. Серия 3: Филология. 2017. Т. 53. С. 43–55.
Litvintseva K., Lyashevskaya O.

The starting point of the study is the hypothesis of a discursive proximity of Church Slavonic and Christian religious discourse of the modern Russian language. Analysing lexical structure with quantitative corpus methods we show that the latter is closer to Church Slavonic than the mainstream modern Russian language. This can serve as a proof of the specificity of the register in question, an additional argument when deciding on its separate status. Research is based on the material of the Russian National Corpus, namely, the Church-Slavonic corpus, the Main corpus and the Subcorpus of church-and-theologу texts. Using the log-likelihood criterion and PCA visualizations, we reveal the body of lexemes in Russian texts that can be considered Slavonicisms (tserkovnoslavyanizmy) and show that the "distance" between the corpora can be measured differently if one takes into account adjectives, nouns and verbs separately.

Research target: Philology and Linguistics
Priority areas: humanitarian
Language: Russian
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Text on another site
Keywords: religious discourseзначимая лексикакорпусные исследованияцерковнославянский языксовременный русский языкcorpus studyChurch Slavonic languageModern Russian languagequantitative corpus methodslexical markers of discourseквантитативные корпусные методырелигиозный христианский дискурс
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