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News
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
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.

 

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QUANTITATIVE EVALUATION OF SYNTAX SIMILARITY

Mathematica Montisnigri. 2019. Vol. XLVI. P. 123–132.
Klyshinskiy E., Karpik O.

Machine learning systems are facing problem of incomparability of their results in case of different languages; one of the subarea here is quantitative analysis of syntax. In this paper, we introduce a new quantitative method based on statistics of words co-occurrence in syntactically tagged corpora. The method allows quantitatively evaluate difference and similarity among languages, select most influential phenomena. Experimental setup consists materials for more than 50 languages. Our experiments demonstrate that the introduced method correctly cluster languages among language families.

Research target: Mathematics Philology and Linguistics
Priority areas: humanitarian IT and mathematics
Language: English
Full text
DOI
Text on another site
Keywords: quantitative analysisSyntax Analysissyntactic branching
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