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September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.
September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

 

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Способы автоматизации сравнительного анализа текстов при выявлении признаков плагиата в экспертизах по делам о нарушении авторских и смежных прав

Юрислингвистика. 2023. № 27(38). С. 94–98.
Белова П.Е.

Within the framework of linguistic expertise on cases of copyright and related rights infringement experts are increasingly faced with the challenge of comparing several texts and searching for full-text, partial and other (lexical, grammatical, semantic, etc.) coincidences in them, as well as determining the values of these coincidences. Comparing documents manually takes a lot of time, especially if the research materials are multi-page texts. This article suggests possible ways to automate and improve this work by using special online document comparison tools: "Copyscape", "Embedika Compare", "Draftable Online", "Compare texts", "Copyleaks Text Compare Tool". The given list of tools for comparing texts is compiled by the article author based on the experience of using them in expert practice. For each of the services, the article indicates its advantages and disadvantages, as well as describes the algorithm of operation and features of the presentation of comparison results. Some tools have simple functionality and display how many words matched, show the percentage of uniqueness of the compared texts, others have more advanced comparison analytics and, in addition to the percentage of matches and the number of identical words, determine the types of similarities of text fragments, highlighting among them identical (full-text), similar (with minimal changes) and paraphrased. Nevertheless, the obtained results of comparing text files still require their expert verification and further linguistic research with the interpretation of the established coincidences and the definition of their type, especially with regard to lexical, grammatical, semantic, syntactic coincidences.

Research target: Philology and Linguistics
Language: Russian
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DOI
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Keywords: плагиатлингвистическая экспертизаplagiarismforensic linguisticsсравнение текстовtext comparisontext borrowingsтекстовые заимствования
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