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  • Динамика лексического состава русской художественной прозы (на материале частотных словарей корпуса русских рассказов 1900-1930)
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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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Динамика лексического состава русской художественной прозы (на материале частотных словарей корпуса русских рассказов 1900-1930)

С. 646–660.
Скребцова Т. Г., Гребенников А. О., Sherstinova T.

The paper presents the results of a study that is part of a large-scale project aimed at studying the changes that took place in the Russian language during the first three decades of the 20th century. In the history of Russia, this period was marked by stormy events that led to a radical change in the state system and the formation of a new society. To quantify the scale of changes that occurred in the language in the result of these dramatic events, it is necessary to analyze the representative volume of linguistic data and to compare different chronological periods in dynamics using quantitative methods. The research was carried out on the data of an annotated sample from the Corpus of the Russian Short Stories of 1900-1930, which contains texts by 300 Russian writers. All the texts in the Corpus are divided into three time frames: 1) the pre-war period (1900-1913), 2) the war and revolutionary years (1914-1922) and 3) the early Soviet period (1923-1930). Frequency distribution of significant vocabulary in dynamics was analyzed, which made it possible to identify the main tendencies in the change of individual words and lexical groups frequencies from one historical period to another and to correlate them with the previously identified dynamics of literary themes. The technique used allows to trace the influence of large-scale political changes on the vocabulary of literary language, to note the peculiarities and tendencies of the writers' worldview in a certain historical period, and also makes it possible to significantly supplement the analysis of the dynamics of literary themes in fiction

Language: Russian
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Keywords: компьютерная лингвистикакорпусная лингвистикаcorpus linguisticscomputational linguistics20th century Russian literatureРусская литература 20 века

In book

Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 16–19 июня 2021 г.)
Issue 20. , Russian State University for the Humanitie, 2021.
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