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  • Да-да-да-да-да! И другие конструкции повседневной русской речи, состоящие из контактно повторяющихся слов, в контексте исследования просодических моделей языка
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News
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Да-да-да-да-да! И другие конструкции повседневной русской речи, состоящие из контактно повторяющихся слов, в контексте исследования просодических моделей языка

С. 162–175.
Sherstinova T.
Language: Russian
Text on another site
Keywords: русский языкповторprosodyRussianустная речьпросодияrepetitionречевой корпусspeech corpusspoken speech

In book

Труды Института русского языка им. В.В.Виноградова. Выпуск "Фонетика"
Институт русского языка им. В.В. Виноградова РАН, 2018.
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Тезисы докладов Пятнадцатых Шмелёвских чтений: (К 100-летию со дня рождения академика Дмитрия Николаевича Шмелева):Жизнь слова: Научное наследие академика Д. Н. Шмелева в контексте современности
М.: Институт русского языка им. В.В. Виноградова РАН, 2026.
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Juxtapositional vs. possessive-like encoding in Russian specificational constructions
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Паузы хезитации в педагогическом дискурсе: перцептивный аспект
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The article is a part of a comprehensive study of the linguistic characteristics of teacher’s speech, which contribute to the success of the pedagogical discourse. Based on a survey of secondary school students and an analysis of previous research in the field, non-syntactic pauses of hesitation were chosen as the object of the study, i. ...
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Listen, Repeat, Decide: Investigating Pronunciation Variation in Spoken Word Recognition among Russian Speakers
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Variability is one of the important features of natural speech and a challenge for spoken word recognition models and automatic speech recognition systems. We conducted two preliminary experiments aimed at finding out whether native Russian speakers regard differently certain types of pronunciation variation when the variants are equally possible according to orthoepic norms. In the ...
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Дискриминативная лемматизация сокращений в эпоху LLM
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Rubic2: Ensemble Model for Russian Lemmatization
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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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Transformer-based approaches for lemmatizing abbreviations in Russian texts
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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 ...
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ВЕСЬ, ВОСВОЯСИ - ВЫПИХНУТЬ
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Background Autism Spectrum Disorder (ASD) and Down syndrome (DS) are among the most common types of neurodevelopmental conditions that have co-occurring language impairments. Usually, non-verbal IQ has been reported as one of the main predictors of language functioning in children with these conditions. Although language abilities of children with ASD and DS have been described in ...
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Added: January 28, 2026
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