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News
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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?

Discourse Production Before and After Brain Tumor Removal: Evidence from Three Elicitation Tasks

Ch. 1. P. 17–21.
Antonova Natalia, Khudyakova M., Shibanova Mariya, Nelyubina Mariya, Surova A., Vorobyova Anna, Minnigulova A., Yashin K., Medyanik I., Zuev A., Gronskaya N. E., Dragoy O.

The purpose of the present study was to examine discourse production in people with left hemisphere brain tumors before and after surgery. Discourse samples were collected from 21 patients by using three elicitation tasks: personal stories, sequential pictures and procedural pictures. The patients’ results were compared with the results of the normative sample of 73 people in four age groups. Our analysis of characteristics such as total number of tokens, articulatory speech rate, median length of absolute pauses and lexical diversity revealed that there was no significant difference between the results in pre- and post surgical periods in patients who demonstrated improvement or remained unchanged after surgery. Interestingly, we found a significant difference in the total number of tokens before and after surgery in the group of patients with overall language deterioration.

Language: English
Text on another site
Keywords: neurolinguisticsdiscourse analysisspontaneous speechdiscourse productionbrain tumors
Publication based on the results of:
Нарушение связной речи у пациентов с опухолями головного мозга: лингвистический анализ и анатомические корреляты (2020)

In book

Когнитивная наука в Москве: новые исследования. Материалы конференции 23 – 24 июня 2021
Когнитивная наука в Москве: новые исследования. Материалы конференции 23 – 24 июня 2021
М.: Институт практической психологии и психоанализа, 2021.
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