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July 2, 2026
Researchers Discover How Spelling Errors Slow Down Reading in Russian
Psycholinguists from the Centre for Language and Brain at HSE University–St Petersburg have shown that words that are frequently misspelled are processed more slowly by readers, even when presented with the correct spelling. The researchers confirmed this effect for the first time using Russian-language materials and found that response speed is most strongly linked to how confidently individuals can distinguish the correct spelling of a word from an incorrect one. The study has been published in The Mental Lexicon.
July 2, 2026
HSE Develops App for Assessing Phonological Processing in Children
Researchers at the HSE Centre for Language and Brain have developed a new digital tool for assessing children's phonological processing skills—the ZARYA (Sound Analysis of the Russian Language) test battery. It is the first standardised application in Russia designed to provide a fast and reliable assessment of children's ability to distinguish speech sounds, retain them in working memory, and perform phonemic analysis. The app runs on Android tablets and smartphones and is available for download from RuStore. Details of the test validation have been published in the Journal of Speech, Language, and Hearing Research.
July 1, 2026
Scientists Discover Why Europium 'Misbehaves'
Europium is a rare-earth metal responsible for the pure red glow in displays and other luminescent materials. For a long time, however, it refused to emit light when surrounded by certain organic molecules known as acylpyrazolone ligands. Chemists have now uncovered the reason: in europium complexes with these ligands, a 'black window' appears—a charge-transfer state in which the energy absorbed by the ligand is dissipated as heat rather than emitted as light. Understanding this mechanism opens the way to designing more efficient red-emitting materials for displays, fluorescent thermometers, and chemical sensors. The results have been published in Dalton Transactions.

 

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Идентификация автора текста в сетевой коммуникации

Вестник Волгоградского государственного университета. Серия 2: Языкознание. 2022. Т. 21. № 3. С. 143–157.
Romanova T. V., Khomenko A.

The article deals with general and particular patterns of solving the identification problem of attributional linguistics on the texts of written network communication. The problem of determining text authorship is solved by comparing a disputed text, the author of which, according to the conditions of the experiment, is unknown, with texts, the authors of which are known. The problem is solved for several discursive areas: online literature, corporate e-mail, short comments on posts on the entertainment portal. These discursive spheres have correlates with several functional styles of speech, fiction, official and colloquial, which makes it possible to identify the trends in textual attribution within the material of Internet communication. For the analysis of speech material, a holistic approach, the tool of which is linguistic modelling, is used. The choice of parameters describing the author’s individual style is rooted to considering text to be a product of an authentic language personality. Language personality is described using psycholinguistic (Yu.N. Karaulov), sociolinguistic and forensic linguistic (S.M. Vul, M. Coulthard, R. W. Shuy) methods. With the help of specialized software "KhoRom", researchers create mathematical models of the individual styles of the compared texts authors. As output the resource displays Pearson correlation coefficient, linear regression and Student’s criterion for the models of the two idiolects represented in compared texts, as well as each parameter metrics values. The software is only a part of the attribution algorithm. The obtained mathematical statistics should be analyzed by experts with the usage of methodological recommendations developed for the algorithm. On the basis of these models and their study, a number of conclusions about statistical patterns of an authorship study in various discursive spheres of electronic communication are made.

Research target: Philology and Linguistics
Language: Russian
Full text
DOI
Keywords: математическая модельязыковая личностьmathematical modelingauthorship attributionлингвистическая модельlinguistic modelсетевая коммуникацияатрибуция текстаlanguage personalitynetwork communication
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