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Subject
News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Подчиняются ли составные конструкции закону Ципфа?

Системный администратор. 2016. № 11. С. 89–95.
Kochetkova N. A., Klyshinskiy E., Ermakov P. D.

A dictionary of multiword expressions provides a suitable way for natural language processing. Automatically processing of natural language texts allows shortening the time that we need to construct such dictionaries and enlarge the number of expressions included into a dictionary. In this paper we show that n-gramms of natural language text are following the Zipf’s law; however, the index of power for distribution is varies over wide range. We use this property for such multiword expressions extraction as stylistic markers of a text and special expressions shaping the vocabulary of the selected domain.

Research target: Philology and Linguistics Mathematics
Priority areas: IT and mathematics
Language: Russian
Full text
Text on another site
Keywords: natural language processingmultiword expressionsанализ и автоматическая обработка текстовсоставные конструкции
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