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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Grammatical gender and linguistic complexity

Vol. 1: General issues and specific studies. Berlin : Language Science Press, 2019.
Under the general editorship: F. Di Garbo, B. Olsson, B. Wälchli

he many facets of grammatical gender remain one of the most fruitful areas of linguistic research, and pose fascinating questions about the origins and development of complexity in language. The present work is a two-volume collection of 13 chapters on the topic of grammatical gender seen through the prism of linguistic complexity. The contributions discuss what counts as complex and/or simple in grammatical gender systems, whether the distribution of gender systems across the world’s languages relates to the language ecology and social history of speech communities. Contributors demonstrate how the complexity of gender systems can be studied synchronically, both in individual languages and over large cross-linguistic samples, and diachronically, by exploring how gender systems change over time. In addition to three chapters on the theoretical foundations of gender complexity, volume one contains six chapters on grammatical gender and complexity in individual languages and language families of Africa, New Guinea, and South Asia.

Chapters
Why is gender so complex? Some typological considerations
Nichols J., , in: Grammatical gender and linguistic complexityVol. 1: General issues and specific studies.: Berlin: Language Science Press, 2019. Ch. 4 P. 63–92.
A cross-linguistic survey shows that languages with gender can have very high levels of morphological complexity, especially where gender is coexponential with case as in many Indo-European languages. If languages with gender are complex overall, apart from their gender, then gender can be regarded as an epiphenomenon of overall language complexity that tends to arise ...
Added: November 4, 2019
Research target: Philology and Linguistics
Language: English
DOI
Text on another site
Keywords: gendergrammatical categorylinguistic complexity
Publication based on the results of:
Convergence processes in the history of language: phonetics, grammar, lexicon (2018)
Grammatical gender and linguistic complexity
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