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News
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.

 

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Language Exercise Generation: Emulating Cambridge Open Cloze

International Journal of Conceptual Structures and Smart Applications (IJCSSA). 2014. Vol. 2. No. 2. P. 20–35.
Malafeev A.

This article presents an approach to the automatic generation of open cloze exercises based on arbitrary English text. The exercise format is similar to the open cloze test used in Cambridge English certificate exams (FCE, CAE, CPE). The presented method also makes it possible to adjust the difficulty of the resulting exercises to better suit specific proficiency levels. Three experiments were conducted to evaluate the usefulness of the machine-generated exercises, compare them with authentic Cambridge English tests and study the difficulty-setting capabilities. The experiments showed that the generation method used was quite effective. With some customization, the method can be applied to generating similar exercises for other languages.

Research target: Philology and Linguistics Education Computer Science
Priority areas: IT and mathematics
Language: English
Full text
DOI
Text on another site
Keywords: natural language processingпреподавание английского языкаавтоматическая обработка естественного языкаавтоматическая обработка текстаавтоматическое создание упражненийтесты open clozeopen clozecomputer-assisted language learningCALLEnglish as a foreign languageEFLlanguage exercise generationadjusting exercise difficultyизучение иностранных языков с помощью компьютераанглийский язык как иностранныйрегулировка сложности упражнений
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