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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
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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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Measuring Grammatical Complexity

Oxford : Oxford Scholarship Online, 2014.
Under the general editorship: F. Newmeyer, L. Preston

This book collects Work presented at a workshop entitled ‘Formal Linguistics and the Measurement of Grammatical Complexity’, held in Seattle, WA, USA on March 23–24, 2012. Each chapter takes on the question of whether languages can differ in grammatical complexity and, if so, how relative complexity differences might be measured. In this way, it differs from other recent collections on complexity which approach the issue for the most part from a sociolinguistic or functional/typological perspective and make few concrete proposals about the actual measurement of complexity differences. The individual chapters either take a ‘grammar-based’ approach to complexity or a ‘user-based’ one, or contrast the two. The former focus on elements of grammars per se and count the amount of structural elaboration, irregularity, and so on. The latter approach complexity in terms of the degree of difficulty for the user, whether the first-language acquirer, the second-language acquirer, or the adult user. The book deals for the most part with morphosyntactic complexity, though there are chapters devoted to phonological and semantic complexity as well. Particularly noteworthy are two chapters that approach complexity from a neurolinguistics perspective, raising the question of whether we can learn anything about grammatical complexity from neurolinguistics studies.

Chapters
Cross-linguistic comparison of complexity measures in phonological systems
Moran S., Blasi D., , in: Measuring Grammatical Complexity.: Oxford: Oxford Scholarship Online, 2014.
This chapter explores from a typological perspective several absolute measures that have been used to quantify complexity of phonological systems. Most research in this area relies on claims about statistical aspects of datasets, particularly parameterization of distributions and the direction of correlations between pairs of variables. The chapter revisits these claims in compiling datasets from ...
Added: October 1, 2020
Language: English
DOI
Keywords: formal linguistics
Measuring Grammatical Complexity
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