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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Лингвистическая сложность текстов жанра «виртуальная экскурсия по музею» (на материале виртуального визита в Государственный Эрмитаж)

Текст. Книга. Книгоиздание. 2025. № 38. С. 29–54.
Kolmogorova A., Куликова Е. Р., Колмогорова П. А.

The article is devoted to the linguistic featuring of the texts of the Virtual visit to the State Hermitage Museum, available on the its official website. The purpose of the study is to analyze the set of lexical, morphological, syntactic and discursive metrics of the linguistic complexity of these texts in comparison with the same metrics of scientific art history texts and mass media texts about art to answer the question of whether the level of complexity of the text content of a virtual excursion corresponds to the expectations that the frame of the speech genre "virtual excursion" forms − to be informative and, at the same time, attractive and uncomplicated.  The research material consisted of 3 corpora: a corpus of virtual visit texts with a total volume of 169,223 tokens; a corpus of scientific articles on art history − 187,695 tokens, a corpus of mass media texts about art − 186,123 tokens. The research methodology included 1) description of the speech genre "virtual museum tour", its genre features, 2) calculation of the values of 132 metrics of linguistic complexity of texts from three subcorpora using a computer model, 3) featuring of the linguistic specificity of "Hermitage" texts against two other subcorpora 4)  analysis of the correlation of specific features with the characteristics of the speech genre of virtual excursion. The analysis of text linguistic complexity metrics showed that the texts of the virtual visit to the Hermitage differ from both text corpora in comparison at the level of their basic metrics that are not closely related to one or another level of the language system: sentence length, indexes of lexical diversity, the presence of numeric symbols, the high nominativity index, and low verbality index, which results in a number of grammatical text properties. The "Hermitage" texts approach the mass media texts mainly at the level of morphology and syntax, and they have in common with scientific texts only a rather high value of the proportion of long words. Comparing the specifics identified at the level of linguistic complexity metrics with the characteristics of the "virtual excursion" speech genre, we determined that there is a correspondence between metrics and such characteristics of the genre as descriptiveness, informativeness, linguistic simplicity, and non-banality of the communicative style. At the same time, it was found that the texts practically do not contain verbal means contributing to the realization of such genre feature as "argumentativeness": the proportion of speech markers of persistence, deictic means of ensuring coherence of discourse, etc. is generally very low. The prospect of research is an experimental study of the difficulty of such texts for the reader's perception.

Research target: Philology and Linguistics
Language: Russian
Full text
DOI
Keywords: компьютерная лингвистикаcomputational linguisticsautomatic text analysisречевой жанрspeech genrelinguistic complexityвиртуальное музейное пространствоавтоматизация анализ текстаvirtual museumлингвистическая сложность
Publication based on the results of:
Экспериментальное изучение и моделирование когнитивных механизмов речевой деятельности  (2024)
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