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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Complexity, Accuracy and Fluency in Learner Corpus Research. Volume vi

Amsterdam : John Benjamins Publishing Company, 2022.
Under the general editorship: A. Leńko-Szymańska, S. Götz

This volume illustrates the high potential of learner corpus investigations for research into the CAF triad by presenting eleven original learner corpus-based studies which are set within solid theoretical frameworks, examine learner corpora with state-of-the-art analytical techniques and yield highly interesting findings. The volume’s major strength lies in the range of issues it undertakes and in its interdisciplinary thematic novelty. The chapters collectively address all three dimensions of L2 performance related to different linguistic subsystems (i.e. lexical, phraseological and grammatical complexity and accuracy, along with fluency) as well as the interactions among these constructs. The studies are based on data drawn from carefully compiled learner corpora which are analysed with the help of diverse corpus-based methods. The theoretical discussions and the empirical results shall contribute to the advancement of the fields of SLA and writing and speech research and shall inspire further investigations in the area of the CAF triad.

Chapters
Accuracy, syntactic complexity and task type at play in examination writing: A corpus-based study
Lyashevskaya O., Olga Vinogradova, Scherbakova A., , in: Complexity, Accuracy and Fluency in Learner Corpus Research. Volume vi.: Amsterdam: John Benjamins Publishing Company, 2022. Ch. 10 P. 241–272.
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 ...
Added: October 5, 2022
Syntactic complexity measures as linguistic correlates of proficiency level in learner Russian
Kisselev O., Klimov A., Mihail Kopotev, , in: Complexity, Accuracy and Fluency in Learner Corpus Research. Volume vi.: Amsterdam: John Benjamins Publishing Company, 2022. Ch. 3 P. 51–80.
The study reports on the results of a corpus-based evaluation of automatically extracted syntactic complexity measures as indices of Russian as a foreign language (FL) and Russian as a heritage language (HL) writing development. A list of 12 syntactic complexity measures was tested on a set of longitudinal, classroom-based data. The analyses demonstrated that the ...
Added: November 25, 2024
Research target: Philology and Linguistics
Language: English
DOI
Text on another site
Keywords: корпусная лингвистикаcorpus linguisticstheoretical linguisticsmultilingualismlanguage acquisitionусвоение языкатеоретическая лингвистикамультилингвальность
Publication based on the results of:
ONCORR - online correction for English texts (2022)
Complexity, Accuracy and Fluency in Learner Corpus Research. Volume vi
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