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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.
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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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HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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The Universal Database for Lexical Typology

Компьютерная лингвистика и интеллектуальные технологии. 2023. No. 2023.
Voloshina E., Polina Leonova

The paper presents the principles of creating a database for research in lexical typology and describes the possibilities of its use as a linguistic resource. The database is built around semantic fields and frames, i. e. units of analysis in the frame-based theory of lexical typology. The database provides a universal format for storing the data; therefore, any project in lexical typology can be easily added. The database does not only store the data from previous research projects but allows anyone who wants to contribute to submit data via its web interface. The database includes examples provided by native speakers and manually annotated with translations, semantic fields, and frames, following the annotation principles adopted within the frame approach to lexical typology.

Language: English
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Keywords: корпусная лингвистикаcorpus linguisticsлексическая типологиякомпьютерная лексикографияComputational lexicography lexical typology
Publication based on the results of:
Смежность семантических полей в типологической перспективе (на материале глаголов лексической зоны 'менять') (2023)
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