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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.
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‘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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Single-sentence Readability Prediction in Russian

Ch. 436. P. 91–100.
Karpov N., Vitugin F., Baranova J.

In an effort to make reading more accessible, an automated readability formula can help students to retrieve appropriate material for their language level. This study attempts to discover and analyze a set of possible features that can be used for single-sentence readability prediction in Russian. We test the influence of syntactic features on predictability of structural complexity. The readability of sentences from SynTagRus corpus was marked up manually and used for evaluation.

Language: English
Full text
Text on another site
Keywords: компьютерная лингвистикаНациональный корпус русского языкаnational corpus of Russian languagemachine learningмашинное обучение и разработка данных (data mining)computational linguistics
Publication based on the results of:
Адаптация языкового материала НКРЯ для электронного учебника «Русский язык как иностранный» (2013)

In book

Analysis of Images, Social Networks and Texts
Analysis of Images, Social Networks and Texts
Vol. 436: 3rd International Conference on Analysis of Images, Social networks, and Texts. , NY: Springer, 2014.
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