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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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Языковая биография индивида как инструмент моделирования ментального лексикона (на материале экспериментальной работы с пациентами с афазией)

Вестник Томского государственного университета. Филология. 2023. № 81. С. 30–50.
Kolmogorova A., Лямзина С. А., Никольская О. Н.

The article considers the relationship between the language biography of a patient with aphasia and the process of her speech rehabilitation. The research project focuses on the problem of predicting the structure of mental lexicon in patients with aphasia via modeling it in native speakers from the same socio-professional groups without speech disorders. The process is largely based on knowledge about common characteristics of their language biography. The aim of the article is to feature the methodology used in such a type of predictive modeling, its theoretical foundations and main advantages for speech rehabilitation work. The research data include: statistics about sociological characteristics of patients collected at the local Neurorehabilitation Center from 2014 to 2018; 18 questionnaires filled in by the relatives of the patients in question; interviews with healthy Russian native speakers, whose socio-professional characteristics are similar to characteristics of one of the target groups of the patients; 12 hours of audio recordings of interviews with healthy native speakers of the Russian language, whose language biography, gender and age characteristics are similar to those of the target groups of the patients; a corpus of interview scripts processed with the Sketch Engine corpus manager; 14 patients’ speech assessment sheets completed in accordance with the Wasserman scale (it is designed to determine speech disorders of patients with a local cerebrovascular accident). By using an interdisciplinary complex of methods we obtained the following results: completed a sociolinguistic portrait of people at risk of aphasia with similar language biographies; listed the most frequent words, collocations and automated verbal series (phrases and sayings) specific to people at risk of aphasia; identified the language biography features that affect mental lexicon; elaborated a complex of exercises for speech rehabilitation of patients with aphasia regarding the specificity of their language biography; validated and assessed the exercises’ effectiveness in clinical practice. Our main conclusion is that the proposed method can help to design for patients with aphasia a more personalized complex of speech recovery exercises that will be adapted to their language biography. The authors declare no conflicts of interests.

Research target: Philology and Linguistics
Language: Russian
Full text
DOI
Keywords: языковая личностьафазияspeech therapyТерапияaphasialanguage personality
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