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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.
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Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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Verb argument structure in narrative speech: Mining AphasiaBank

Seminars in Speech and Language. 2016. Vol. 37. No. 1. P. 34–47.
Malyutina S., Richardson J., Den Ouden D.

Previous research has found that verb argument structure characteristics (such as the number of participant roles in the situation described by the verb) can facilitate or hinder aphasic language production and comprehension in constrained laboratory tasks. This research needs to be complemented by studies of narrative or unrestricted speech, which can capture the spontaneous selection of verbs and grammatical structures by people with aphasia and may be particularly sensitive to the relative cost of access to different verb types in more natural conditions. Focusing on the number of subcategorization options, we investigated verb argument structure effects in a large sample of narratives from AphasiaBank, by speakers with aphasia, as well as control speakers without brain damage. Verb argument structure complexity did not negatively affect verb selection in any type of aphasia. However, people with aphasia, particularly with Broca’s aphasia, used verbs in less complex and diverse ways, with fewer arguments and less diverse subcategorization options. In line with previous research, this suggests that deficits in verb use in aphasia are likely due to difficulties with the online application of or partial damage to verb argument structure knowledge.

Priority areas: humanitarian
Language: English
Full text
DOI
Keywords: спонтанная речьAphasiaVerbsафазияглаголыverb argument structurespontaneous speechlanguage disordersаргументная структура глаголанарушения речи
Publication based on the results of:
Neural foundations of language grammar: universal and language-specific effects (2016)
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