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News
May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.

 

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Accuracy, syntactic complexity and task type at play in examination writing: A corpus-based study

Ch. 10. P. 241–272.
Lyashevskaya O., Olga Vinogradova, Scherbakova A.

This chapter explores the association between syntactic complexity and syntactic accuracy in essays written by Russian learners of English in reply to two examination task types: a description of graphical material (Task 1) and an opinion essay (Task 2). A Poisson regression model served to predict the number of syntactic errors. Two syntactic complexity parameters were statistically significant in predicting syntactic accuracy in both tasks: the numbers of sentences and adverbial clauses. Three more parameters predicted the accuracy in Task 1 only: maximum depth of syntactic trees, and the numbers of adjective + noun and noun + infinitive constructions. Six parameters were related to syntactic accuracy in Task 2: the numbers of all clauses, of tokens and of T- units; the average length of sentence; and the numbers of coordinated and of participle + noun constructions.

Language: English
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Keywords: языковые ошибкиaccuracyоценка письменной работыанглийский как иностранныйassessing writing skillssyntactic complexityсинтаксическая сложностьEFL/ESL writing

In book

Complexity, Accuracy and Fluency in Learner Corpus Research. Volume vi
Amsterdam: John Benjamins Publishing Company, 2022.
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