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Диахроникон: новый ресурс для изучения русских конструкций в микродиахронической перспективе
С. 1041–1051.
Budennaya E., Bazhukov M., Баркова Л. А., Харламова Д. С., Дугричилов А. М., Reznikova T., Yakovleva A., Litvintseva K., Андреева А. А.
In book
Вып. 22: Дополнительный том. , [б.и.], 2023.
Tiskin D., Компьютерная лингвистика и интеллектуальные технологии 2026 No. 24 P. 656–665
Despite a lot of interest for the factors influencing the choice of pronoun (reflexive or personal) with an antecedent in Russian, the role of the anaphotic relation—coreference or semantic binding—has been understudied, including disagreements as to the acceptability of particular data points. To clarify things, I employ large corpora (Araneum and GICR) to study the ...
Added: July 19, 2026
М.: Институт русского языка им. В.В. Виноградова РАН, 2026.
Сборник тезисов Пятнадцатых Шмелёвских чтений (К 100-летию со дня рождения академика Дмитрия Николаевича Шмелева) Жизнь слова: Научное наследие академика Д. Н. Шмелева в контексте современности. Охватывает разные аспекты современной русистики: от исторической лексикологии до современных трансформаций прагматики и семантики слов. ...
Added: June 23, 2026
Toukach P., Smirnova N. S., Zdorovenko E. L. et al., Analytical Chemistry 2026 Vol. 98 No. 15 P. 10988–10996
Pyruvylation is one of the immunochemically relevant modifications of O-antigens in bacterial and fungal cells. Therefore, fast and relatively simple analytical methods for identifying this modification are highly demanded. 13C NMR spectroscopy is the best candidate for this purpose, but its successful application requires using reference structures and reliable databases. In this work, we collected ...
Added: May 25, 2026
Malikov D., Krasnov L., Kiseleva M. et al., Scientific data 2026 Vol. 13 Article 727
Solubility is a crucial property of organic compounds, impacting their potential applications in synthetic chemistry, materials science and drug design. Moreover, in technological processes mixtures of solvents are often utilized, making the solubility assessment more complicated. Predicting solubility values in mixtures of solvents from a molecular structure can help to address this issue, although a ...
Added: May 19, 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 ...
Added: May 18, 2026
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, ...
Added: April 28, 2026
Глазкова А. В., Смаль И. В., Lyashevskaya O. et al., Доклады Российской академии наук. Математика, информатика, процессы управления (ранее - Доклады Академии Наук. Математика) 2025 Т. 527 С. 146–155
This paper presents a study on the effectiveness of discriminative methods for abbreviation lemmatization in Russian texts. Unlike generative approaches, discriminative models select the optimal lemma from a fixed set of candidates, eliminating the risk of generating grammatically incorrect word forms. For the first time in Russian language processing, we conduct a comprehensive analysis of ...
Added: March 10, 2026
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 ...
Added: March 10, 2026
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. ...
Added: March 8, 2026
Alshanskaia E., Martynova O., Portnova G. et al., Mendeley 2024
Eyetracking and vegetatics data in a cognitive load task
Published: 10 July 2024| Version 1
Description
Raw eyetracking and vegetatics data in a cognitive load task with additional false feedback in the second block. ...
Added: March 6, 2026