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News
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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Advances in Sign Language Corpus Linguistics

John Benjamins Publishing Company, 2023.
Under the general editorship: E. Wehrmeyer

This collected volume showcases cutting-edge research in the rapidly developing area of sign language corpus linguistics in various sign language contexts across the globe. Each chapter provides a detailed account of particular national corpora and methodological considerations in their construction. Part 1 focuses on corpus-based linguistic findings, covering aspects of morphology, syntax, multilingualism, and regional and diachronic variation. Part 2 explores innovative solutions to challenges in building and annotating sign language corpora, touching on the construction of comparable sign language corpora, collaboration challenges at the national level, phonological arrangement of digital lexicons, and (semi-)automatic annotation. This unique volume documenting the growth in breadth and depth within the discipline of sign language corpus linguistics is a key resource for researchers, teachers, and postgraduate students in the field of sign language linguistics, and will also provide valuable insights for other researchers interested in corpus linguistics, Construction Grammar, and gesture studies.

Chapters
Syntactic functions of non-manuals in Russian Sign Language
Burkova S., Khristoforova E., Kimmelman V., , in: Advances in Sign Language Corpus Linguistics.: John Benjamins Publishing Company, 2023. P. 90–129.
This chapter presents the Russian Sign Language (RSL) Corpus and demonstrates its capabilities as a research tool by summarizing three corpus-based studies primarily focused on syntactic functions of nonmanual markers. The first study considers question marking in regular wh-questions and in question-answer pairs. It shows that the two constructions have very different nonmanual markers. The second study analyzes marking of ...
Added: June 3, 2026
Language: English
Keywords: sign languagesCorpus linguistics
Advances in Sign Language Corpus Linguistics
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АНАЛИЗ КОРПУСА ПОЭТИЧЕСКИХ ТЕКСТОВ НА ПЛАТФОРМЕ TXM
Fokina A., Chepovskiy A., В кн.: Труды международной конференции «Корпусная лингвистика — 2023», 21–23 июня 2023 г., Санкт-Петербург.: СПб.: Издательство Санкт-Петербургского университета, 2024. С. 224–231.
The paper considers the results of correspondence analysis based on the TXM corpus analysis platform. The corpus of poetry of the Silver Age was created and studies, it includes subcorpuses of the main trends, authors of these trends and ages when the poems were written. This helps to analyze the influence of historical events of ...
Added: December 2, 2024
Word Order within the Nominal Domain in Russian Sign Language
Anna G. Klezovich, Kirill A. Aksenov, / NRU HSE. Series WP BRP "Linguistics". 2018. No. 72.
This work aims at investigating the word order within the nominal domain in Russian Sign Language (RSL) with respect to Universal 20 and a hierarchy of adjectives. Universal 20 proposed by Greenberg (1963) postulates that there are three possibilities of the word order in the noun phrase, namely Demonstrative > Numeral > Adjective > Noun, ...
Added: December 9, 2018
Automatic detection of natural phonological classes in Russian Sign Language
Moroz G., Plaskovitskaya A. A., Rudnev P., / NRU HSE. Series WP BRP "Linguistics". 2018. No. 74.
The present paper applies Multiple Correspondence Analysis to test the validity of an existing theoretical model of the phonological system of Russian Sign Language (RSL). We show that comparing the importance of phonological features using ratio plots and MCA is a promising way of revealing non-binary oppositions in phonological systems of human languages irrespective of ...
Added: December 3, 2018
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