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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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Автоматическое создание словообразовательных упражнений на основе английского текста

С. 372–381.
Malafeev A.

The article describes an effective method of automatic generation of word-formation exercises in the format similar to Cambridge certificate exams and Russian state exam. The input for the generation of exercises is English texts of arbitrary size and contents, which is especially relevant within the framework of teaching English for special or academic purposes. To generate the exercises, we use a dictionary of 11977 units: 2466 stem words and 9511 derivatives. The dictionary was compiled based on the most frequent word families from the British National Corpus. Exercises generated with the presented method can be used in preparation for taking the above exams, as well as in teaching / learning English, namely for developing lexico-grammatical and reading skills.

Language: Russian
Full text
Keywords: natural language processingсловообразованиеавтоматическая обработка текстаword formationавтоматическое создание упражненийкембриджские сертификационные экзаменыTeaching English as a Foreign Language (TEFL)automatic exercise generationCambridge certificate examsaffixationword-formation exercisesпреподавание английского как иностранногоаффиксациясловообразовательные упражнения

In book

Homo Loquens: Актуальные вопросы лингвистики и методики преподавания иностранных языков (2014)
Вып. 6. , СПб.: Отдел оперативной полиграфии НИУ ВШЭ – Санкт-Петербург, 2014.
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