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Universal Dependencies for Russian: A New Syntactic Dependencies Tagset
NRU HSE
,
2016.
No. 44.
Lyashevskaya O., Droganova K., Zeman D., Alexeeva M., Гаврилова Т. С., Mustafina N. S., Шакурова Е. И.
This paper presents the Universal Dependencies tagset (UD v1) as a new annotation scheme for Russian treebanks. The universal list of dependency relations was adopted and extended to comply with certain language-specific syntactic constructions. The tagset was validated, converting two Russian treebanks into the UD format, UD-Russian-SynTagRus and UD-Russian-Google.
Language:
English
Pikalov V., Meshcheryakov V., Kondratev S. et al., Technologies 2026 Vol. 14 No. 1 P. 1–27
This paper presents Aerokinesis, an IoT-based software–hardware system for intuitive gesture-driven control of quadcopter unmanned aerial vehicles (UAVs), developed within the Robot Operating System 2 (ROS2) framework. The proposed system addresses the challenge of providing an accessible human–drone interaction interface for operators in scenarios where traditional remote controllers are impractical or unavailable. The architecture comprises ...
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Кондратьев С., Никитин Г. Э., Дырченкова Ю. А. et al., Technologies 2026 Vol. 14 No. 1 P. 1–27
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Springer, 2025.
This book constitutes the refereed proceedings of the 19th International Conference on Parallel Computational Technologies, PCT 2025, held in Moscow, Russia, during April 8–10, 2025.
The 31 full papers included in this volume were carefully reviewed and selected from 122 submissions. These papers were organized under the following topical sections: High Performance Architectures, Tools and Technologies; ...
Added: May 18, 2026
Logvinova N., Russian linguistics 2026 Vol. 50 Article 11
This paper presents the first in-depth corpus-based study of a previously overlooked syntactic variation in Russian: the competition between juxtapositional (Nominative) and possessive-like (Genitive) encoding of the second noun (the term) in specificational constructions (e.g., ponjatie čest’ (notion.NOM honor.NOM) vs. ponjatie česti (notion.NOMhonor.GEN) ‘the notion of honor’). While typological research has established cross-linguistic preferences for one encoding strategy over another, intralinguistic variation ...
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Ronglin Z., Wei L., Jiahong C. et al., Journal of Signal Processing Systems 2026 Vol. 98 P. 1–15
To address the need for lightweight and low-latency protection in massive resource-constrained 5G Internet of Things (IoT) systems, this paper proposes Key-Controlled Modulation Hopping and Constellation Rotation (KMHCR). KMHCR is designed as a physical-layer confidentiality-enhancement mechanism that avoids bit-wise full-payload encryption in the protection pipeline. It uses a shared key derived from channel-reciprocity secret key ...
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Suvorov N. M., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 3(2) P. 49–66
Data Petri Nets (DPNs) extend classical Petri nets to model processes where data directly influences control-flow, enabling a comprehensive view of system behavior and possibility to detect failure points that could otherwise be hidden. Soundness is a correctness criterion that captures such failure points as deadlocks and livelocks as well as model boundedness and absence ...
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Зелинская Ю. Ю., Когнитивные исследования языка 2025 № 4(65) С. 180–186
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Starchenko A., Toldova S., Типология морфосинтаксических параметров 2023 Т. 6 № 1 С. 130–148
The study focuses on a previously unrecorded model of split agreement in the mirative paradigm in Kazym Khanty. Split agreement is found when comparing active and passive mirative constructions, as well as
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Neal N. X., Weiqing L., Dacheng H. et al., Algorithms 2026 Vol. 19 No. 5 P. 1–22
In the era of data-driven education, educational social networks generate large volumes of high-dimensional and complex-structured data through learner interactions, collaborative activities, and resource-sharing behaviors, posing significant challenges to traditional unsupervised learning methods. Such data often exhibit non-convex distributions, heterogeneity, and noise sensitivity, making conventional clustering approaches insufficient for capturing their intrinsic structural relationships. To ...
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Fedorov D., Jezikoslovni Zapiski 2026 № 32(1) С. 23–52
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Gabrielova E., Максименко О. И., Социальные и гуманитарные науки на Дальнем Востоке 2026 Т. 23 № 1 С. 241–249
The article presents a diachronic analysis of the representation of women in Russian advertising, based on agitation posters from 1917-1990 and social and motivational advertising materials from 2000-2020. The aim of the study is to identify the evolution of verbal and visual strategies for constructing the image of women in the changing socio-political and cultural ...
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Velichkov B., Nikolova-Koleva I., Slavcheva M., Shumen: INCOMA Ltd, 2025.
The RANLP 2025 Student Research Workshop (RANLPStud’2025) is a special track of the established international conference Recent Advances in Natural Language Processing (RANLP’2025).
The RANLPStud is being organised for the 9th time and this year is running in parallel with the other tracks of the main RANLP 2025 conference. The target of RANLPStud’25 is to be a ...
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Fufaeva I., Вестник Волгоградского государственного университета. Серия 2: Языкознание 2025 Т. 24 № 4 С. 78–90
The study delves into speech acts with diminutives used for politeness, focusing on their discursive and genre-related aspects. It draws on authorial recordings of colloquial speech, data from the National Corpus of the Russian Language, and recordings of urban speech from the 1970s and late twentieth century. The research highlights the potential usage of polite ...
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Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
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Strizhkova D., / Институт русской литературы (Пушкинский Дом) РАН. Серия B001 "Репозиторий открытых данных по русской литературе и фольклору". 2026.
В базе данных представлена роспись русскоязычных литературных произведений и отрывков, напечатанных в учебниках по словесности, хрестоматиях, книгах для чтения, сборниках стихотворений и рассказов, выходивших во Франции, Германии, Латвии, Эстонии, Болгарии, Сербии в период первой волны русской эмиграции с 1918 по 1939 гг. Датасет представляет интерес для исследователей школьного литературного канона, эмиграции и детского чтения ...
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Qin X., Deng Y., Shchur L. et al., / Series arXiv "math". 2026. No. 2603.02962.
We perform a Monte Carlo analysis of the Ising model on many three-dimensional lattices. By means of finite-size scaling we obtain the critical points and determine the scaling dimensions. As expected, the critical exponents agree with the three-dimensional Ising universality class for all models. The irrelevant field, as revealed by the correction-to-scaling amplitudes, appears to ...
Added: April 20, 2026
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Жигунов А. Ю., / Basic Research Programme. Серия HUM "Humanities". 2026. № 1.
The article attempts to describe the features of the educational potential of Russian animation programmes in aspect of the representation of traditional spiritual and moral values. Based on media and semiotic analysis, the method of cultural and historical interpretation, animated Russian projects created from 2000 to the 2025, which were translated on television channels or streaming ...
Added: April 19, 2026
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
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Afanasev I., Glazkova A., Lyashevskaya O. et al., , in: Proceedings of the 10th Workshop on Slavic Natural Language Processing (Slavic NLP 2025).: Association for Computational Linguistics, 2025. P. 157–170.
Pre-trained language models have significantly advanced natural language processing (NLP), particularly in analyzing languages with complex morphological structures. This study addresses lemmatization for the Russian language, the errors in which can critically affect the performance of information retrieval, question answering, and other tasks. We present the results of experiments on generative lemmatization using pre-trained language ...
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Glazkova A., Lyashevskaya O., Morozov D. et al., Journal of Mathematical Sciences 2025 Vol. 546 P. 32–47
This paper addresses the task of lemmatizing abbreviations in the Russian language. Abbreviation lemmatization is particularly challenging, as it involves not only transforming a word into its normal form but also correctly expanding the abbreviation. We explore two approaches to this task, both leveraging large pretrained language models. The first approach is generative, where the ...
Added: March 10, 2026
М.: Институт русского языка им. В.В. Виноградова РАН, 2024.
The book is dedicated to the memory of a remarkable Russian language scholar, Tatyana Grigoryevna Vinokur (1924–1992). The range of issues addressed in the collected scholarly articles reflects the breadth of Tatyana Grigoryevna's research interests: the history of language, poetics, the language of fiction, stylistics, speech culture, problems of communication studies, and many other topics. ...
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Biryukova K., Chelnokova D., Erkenova J. et al., Communications in Computer and Information Science 2024 Vol. 2364 CCIS P. 109 – 121
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