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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
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.

 

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Плеонастические причастия в современной русской речи: функции и тенденции развития

Acta Linguistica Petropolitana. Труды института лингвистических исследований. 2023. Т. 19. № 1. С. 138–192.
Ю. М. Кувшинская, Н. А. Зевахина

The paper studies tendencies in the use of full single (i.e. without their arguments)  redundant participles in the attributive position in the Russian written discourse. Relying upon the data of the Russian National Corpus and the Corpus of Russian Student Texts, as well as a number of the examples collected from various written sources, the main types of the use of redundant participles and their semantic, grammatical, pragmatic, communicative effects are described.  The first type is a redundant use of participles that function anaphorically, that is they refer to a chunk of the previous discourse. The second type is an unnecessary realization of appositive participles that explicate the presupposed information conveyed by the main clause. The third type is a violation of information structure in appositive participles that either convey new information or actualize information already introduced in the previous discourse. The fourth type is a redundant quantification realized via the use of participles derived from verbs such as suščestvovat’, imet’sja ‘exist’. The use of redundant participles to express definiteness, aspectual and taxic meanings is discussed as well. The paper examines the reasons that underlie these various linguistic phenomena, , including the interference of strategies of organization of oral and written discourses, the influence of official business speech. Moreover, many cases of redundant participles are formed from stable word combinations (collocations). The speaker uses such pre-existing phrases that are (semi) automatically available to him. The authors propose to consider the use of pleonastic participles as a manifestation of grammaticalization

Research target: Philology and Linguistics
Language: Russian
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DOI
Text on another site
Keywords: квантификацияразговорная речьinformation structureпричастиеанафораcollocationsquantificationparticipleколлокацииanaphoradefinitenessкоммуникативная структураoral speechопределенность/неопределенностьнестандартная речьnon-standard uses
Publication based on the results of:
Standard and Non-standard Russian Speech: Consistency and Variability (2023)
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