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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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The Ashgate Handbook of Legal Translation

Farnham : Ashgate, 2014.
Under the general editorship: L. Cheng, K. K. Sin,, A. Wagner,

This volume investigates advances in the field of legal translation both from a theoretical and practical perspective, with professional and academic insights from leading experts in the field. Part I of the collection focuses on the exploration of legal translatability from a theoretical angle. Covering fundamental issues such as equivalence in legal translation, approaches to legal translation and the interaction between judicial interpretation and legal translation, the authors offer contributions from philosophical, rhetorical, terminological and lexicographical perspectives. Part II focuses on the analysis of legal translation from a practical perspective among different jurisdictions such as China, the EU and Japan, offering multiple and pluralistic viewpoints. This book presents a collection of studies in legal translation which not only provide the latest international research findings among academics and practitioners, but also furnish us with a new approach to, and new insights into, the phenomena and nature of legal translation and legal transfer. The collection provides an invaluable reference for researchers, practitioners, academics and students specialising in law and legal translation, philosophy, sociology, linguistics and semiotics.

Chapters
Minimal Unit of Legal Translation vs. Minimal Unit of Thought
Vlasenko S. V., , in: The Ashgate Handbook of Legal Translation.: Farnham: Ashgate, 2014. Ch. 6 P. 89–120.
The chapter features a theoretical viewpoint on an elusive notion of a ‘minimal unit of translation’ which is believed to underlie a technical mastery of translation in general and legal translation, in particular. Consequently, it is hoped to bear relevance to the core legal translation studies issues. However, no essential conceptualization has been undertaken to-date ...
Added: March 20, 2014
Research target: Law Philology and Linguistics
Priority areas: humanitarian
Language: English
Text on another site
Keywords: legal translationlegal conceptscultural transferlegal translation theorylegal translation practiceConceptualisationlegal translatabilitylegal lexicographyinstitutional terminologylegal translation training
Publication based on the results of:
Концептосфера права и правовые тексты: межъязыковые аспекты номинации (2013)
The Ashgate Handbook of Legal Translation
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