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  • СЕМИОТИЧЕСКАЯ АДАПТИВНОСТЬ В КОМПЬЮТЕРНО-ОПОСРЕДОВАННОЙ РЕЧЕВОЙ ТЕРАПИИ ПРИ АФАЗИИ: ЭКОЛИНГВИСТИЧЕСКИЙ ПОДХОД
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News
August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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СЕМИОТИЧЕСКАЯ АДАПТИВНОСТЬ В КОМПЬЮТЕРНО-ОПОСРЕДОВАННОЙ РЕЧЕВОЙ ТЕРАПИИ ПРИ АФАЗИИ: ЭКОЛИНГВИСТИЧЕСКИЙ ПОДХОД

СибСкрипт. 2023. Т. 25. № 1. С. 102–110.
Kolmogorova A., Лямзина С. А., Гимаздинов И. Р.

The article describes the theory behind the design of a computer application for speech therapy of patients in aphasia. The project novelty consists in its data: to build up the training tasks, the authors used speech patterns that were semiotically relevant for the patients and visual supports obtained in experimental work. The research featured target-groups  of healthy people whose gender, age, and social profile corresponded with those of patients undergoing neurorehabilitation at the Federal Siberian Research and Clinical Center of the Federal Medical and Biological Agency of Russia. The material included statistical data on the sociological characteristics of patients of the neurorehabilitation center in 2014-2018, as well as 18 questionnaires filled in by relatives of patients who were in rehabilitation from February to March 2019. It also involved scripts of interviews with 40 neurologically healthy native speakers of the Russian language of two gender-socioprofessional groups that coincided in the language biography and collective speech profile with the most frequent groups of patients with complex motor aphasia. The data were processed using Sketch Engine corpus manager tools. The main methods of analysis included linguistic experiment, questioning, description, modeling, and design. The article introduces a methodological linguistic basis and a design project for a novel computer application that organizes speech therapy for patients with aphasia at home. The research was based on the ecolinguistic principle of relevance, which demonstrated good practical application prospects.

Research target: Philology and Linguistics
Language: Russian
DOI
Keywords: speech therapyкомпьютерное приложениеcomputer application афазияaphasiaонлайн-терапия
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