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  • Павловская И.Ю., Горина О.Г. Корпусно-когнитивные методы изучения лексической сто- роны речи на иностранном языке // Вестник Череповецкого государственного университета. 2017. №1. С. 132–138. Pavlovskaya I.Yu., Gorina O.G. Corpus-based cognitive oriented methods of lexical analysis in foreign language studies. Bulletin of the Cherepovets State University, 2017, no. 1, pp. 74–80.
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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Павловская И.Ю., Горина О.Г. Корпусно-когнитивные методы изучения лексической сто- роны речи на иностранном языке // Вестник Череповецкого государственного университета. 2017. №1. С. 132–138. Pavlovskaya I.Yu., Gorina O.G. Corpus-based cognitive oriented methods of lexical analysis in foreign language studies. Bulletin of the Cherepovets State University, 2017, no. 1, pp. 74–80.

Вестник Череповецкого государственного университета. 2017. Т. 76. № 1. С. 132–138.
Gorina O. G., Павловская И. Ю.

The paper is concerned with the methods of analysis of texts and lexical units such as collocations, colligations, chunks, clusters, hedging, etc. The aim of the research is to equip linguists, teachers and students with the skills of objective language analysis and adequate use of modern English language. The research is based upon statistical instruments of corpus manager. Cognitive interpretation of the data is presented. Conclusions are based on the results of compiling an original corpus for teaching British Studies, including 1 700 000 entries, and on analyzing professionally significant ones in a data-driven way. Implementation of corpus instruments such as concordances, collocation and colligation profiles, statistics, frequency characteristics, key-words search, word-clouds and others are under consideration. British National Corpus is used as a reference tool. Technically the research is fulfilled with the help of corpus manager WordSmith Tools 6.0.

Priority areas: humanitarian
Language: Russian
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Keywords: когнитологияhedgingcorpus linguisticsCollocationcorpus analysisapproaches to teaching a foreign languageколлокациилингвистика лингводидактика корпусный анализcolligationcorpus statisticsколлигациихеджингчанки языкалингвостатистика
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