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Раздел 1. Русский язык
Гл. 1. С. 7–58.
In book
М.: Издательский дом НИУ ВШЭ, 2015.
Rakhilina E. V., Zhukova V., Akhapkina Y., Zeitschrift fur Slawistik 2026 Vol. 71 No. 2 P. 259–284
This study examines the most numerous type of construction presented in the Russian Constructicon, namely intensifiers. We studied intensifiers in the context of comparative constructions of inequality like Х bol’še Y‘X is bigger than Y’ –> Х gorazdo bol’še Y‘X is much bigger than Y’. Comparative constructions and intensifiers are usually studied separately since they ...
Added: September 4, 2026
Kolmogorova A., Явшиц Е. В., Никольская О. Н. et al., Вестник Новосибирского государственного университета. Серия: Лингвистика и межкультурная коммуникация 2026 Т. 24 № 1 С. 113–127
Технологии автоматического распознавания речи (АРР) к настоящему моменту стали базовым компонентом бэкенд-инфраструктуры различных голосовых и когнитивных ассистентов, обеспечивая доступ пользователей к коммерческим сервисам и государственным платформам. Однако из-за неравномерного распределения данных, на которых модели АРР обучаются, острой становится проблема предвзятости моделей при работе с атипичной речью. Цель исследования заключается в оценке качества распознавания и сравнении ...
Added: August 28, 2026
Kharlamova D. S., Русский язык в научном освещении 2024 № 2 (48) С. 129–149
В статье исследуется история возникновения и эволюции идиомы от корки до корки. Мы использовали словарные данные и материалы НКРЯ и Google Books, чтобы установить примерное время появления данного выражения, а также предложить возможные объяснения его происхождения. Развитие конструкции от корки до корки связано с расширением ее сочетаемости: на этом пути можно выделить несколько этапов, которые ...
Added: August 6, 2026
Zubov V., Вопросы лексикографии 2026 № 40 С. 64–86
The article addresses the problem of selecting and systematizing data for the study of pronunciation variation in contemporary Russian and proposes a solution in the form of a specialized database of codified equivalent pronunciation variants (e.g., simmétriya / simmetríya “symmetry”). The article presents a methodology for identifying, selecting, and organizing such variants into a database. ...
Added: July 23, 2026
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
Skripka 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
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