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  • Cоциальные медиа в английском и русском языковом сознании. Статья 2. Корпусная лингвистика и опыт моделирования
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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Cоциальные медиа в английском и русском языковом сознании. Статья 2. Корпусная лингвистика и опыт моделирования

Psiholingvistika. 2020. Т. 28. № 2. С. 204–223.
Шляхова С. С., Klyuev N.

The article consists of two parts. The first part is devoted to the investigation of the structure and content of the concept “social media” in Russian and English linguistic consciousness according to the data of a serial psycholinguistic experiment. The second part provides an analysis of the concept in corpus linguistics. It also includes the field and the classificational cognitive models of the concept “social media”.

Research target: Philology and Linguistics
Priority areas: humanitarian
Language: Russian
DOI
Text on another site
Keywords: социальные сетирусский языканглийский языкязыковое сознаниекогнитивная лингвистикапсихолингвистикасоциальные медиакорпусная лингвистикаpsycholinguisticslanguage consciousnesscorpus linguisticsCognitive Linguistics social mediaинтернетSocial networking sites
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