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June 22, 2026
‘In Science, You Are Your Own Boss
Polina Nasledskova is interested in identifying gaps in linguistics and topics that have been overlooked by other researchers. In an interview for the  Young Scientists of HSE University project, she spoke about rare ordinal numerals in Nakh-Daghestanian languages, the benefits of knitting for concentration, and the beauty of the Patriarshy Bridge.
June 19, 2026
HSE Researchers Determine Which Internet Users Are More Likely to Fact-Check
Researchers at HSE University examined the strategies employed by Russian internet users to verify unreliable information and the factors that motivate them to do so. The study found that more than half of users who encounter potentially false information online attempt to verify it by locating the original source. The likelihood of fact-checking is influenced by several factors, including age, place of residence, social status, information literacy skills, and the use of AI. The findings have been published in Monitoring of Public Opinion: Economic and Social Changes.
June 5, 2026
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Ivan Rubachev works in a HSE University laboratory established jointly with Yandex Research, where he focuses on machine learning with tabular data. In this interview with the HSE Young Scientists project, he discusses why following a vibe can be better than goal-setting, explains the concept of the Neural Turing Machine, and argues why withholding scientific knowledge is counterproductive.

 

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Студенческие речевые ошибки и актуальные тенденции в развитии русского языка

С. 157–178.
Kuvshinskaya Y. M.

The article is devoted to the new field of corpus linguistic that is the research of speech errors of native speakers. Mistakes of Russian-speaking students are considered in line with the grammar errors of A. Frey and modern research of non-standard texts. Special attention is paid to one of modern trends in non-standard speech – the usage of the excess participle. The linguistic mechanism of the error and the linguistic and social causes of the frequency of such occurrences are analyzed.

Language: Russian
Full text
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Keywords: русский языкRussian languagespeech errorsречевые ошибкиcorpus methodsпричастияparticipleкорпусные методы в лингвистике
Publication based on the results of:
Tendencies of language change in the mirror of corpora (2016)

In book

Leo philologiae. Фестшрифт в честь 70-летия Льва Иосифовича Соболева
М.: [б.и.], 2016.
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