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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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К вопросу о корпусном отборе ключевых лексических единиц

Stephanos. 2017. № 1(21). С. 111–117.
Gorina O. G.

The paper deals with computing key words by comparing and processing data retrieved from two corpora: reference corpus and a specifically designed corpus or a text. The main aim of the research revolves around the idea of equipping linguists, teachers and students with the practical skills to analyze the language they teach statistically. Thus, the research is based upon statistical procedures provided by standard corpus software. We set out to find out whether the key words computed automatically, with the help of software WordSmith Tools 6.0, could provide a reliable basis for selecting the most important lexical units for learners of English. The learners in question were undergraduate students of Area Studies (the UK). In our experiment we compared three lists of words: chosen by two ESP teachers and the one computed automatically. The article elaborates on the procedure and the relevance of the three word lists within second language acquisition context. In conclusion, it is stated that corpus tools could be of significant help for ESP professionals.

Research target: Philology and Linguistics
Priority areas: humanitarian
Language: Russian
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DOI
Text on another site
Keywords: корпусное преподаваниеkey wordsключевые словаcorpuscorpus analysisКритерий хи-квадратchi-square корпусный анализ частотная лексика
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