• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Book chapter
  • Syntactic complexity measures as linguistic correlates of proficiency level in learner Russian
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
August 17, 2026
‘I Dream of Simple Things
Anastasia Gergenreter specialises in applied statistics and econometrics. In this interview for the Young Scientists of HSE University project, she talked about why she studies addictive substance use, two very different Fishers, and the cherry blossom season at the Main Botanical Garden in Moscow.
August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

Syntactic complexity measures as linguistic correlates of proficiency level in learner Russian

Ch. 3. P. 51–80.
Kisselev O., Klimov A., Mihail Kopotev

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 syntactic complexity measures help delineate four proficiency levels (Intermediate Mid, Intermediate High, Advanced Low and Advanced Mid as established through the ACTFL proficiency guidelines), and that the changes in syntactic complexity indices across levels pattern slightly differently in the FL vs. HL learner groups. Our research confirms that the overall trends in interlanguage development in Russian align with the “complexification” trends found for other second languages.

Language: English
Full text
DOI
Text on another site
Keywords: learner corpusL2 writingevaluation of syntactic complexitylinguistic proficiencylearner Russian

In book

Complexity, Accuracy and Fluency in Learner Corpus Research. Volume vi
Amsterdam: John Benjamins Publishing Company, 2022.
Similar publications
Обработка слов с частотными орфографическими ошибками (исследование на базе учебного корпуса английского языка)
Klimova M., Viklova A., Overnikova D., Вестник Санкт-Петербургского университета. Язык и литература 2023 Т. 20 № 4 С. 824–837
The article presents an experimental study of the influence of the frequency of spelling errors in a word on its representation in mental lexicon. The hypothesis that frequently misspelled words cause difficulties in reading even if they are written correctly has been proved for native speakers of Russian and English. This paper aims to check ...
Added: January 26, 2024
Аннотирование учебного корпуса в аспекте его использования для исследовательских задач
Klimova M., Viklova A., Overnikova D., В кн.: Современная лингвистика: от теории к практике. III Казанский международный лингвистический саммит (Казань, 14–19 ноября 2022 г.): Труды и материалы, в трёх томах, том 1.: Каз.: Издательство Казанского университета, 2022. С. 46–50.
В данной статье рассматривается классификация ошибок, используемая в учебном корпусе REALEC, в аспекте ее соответствия требованиям и приспособленности для исследовательских задач. ...
Added: January 17, 2023
Clausal complexity of expert and student writing: a corpus-based analysis of papers in social sciences
Smirnova E. A., Language Learning in Higher Education 2022 Vol. 12 No. 2 P. 453–475
Syntactic complexity has been extensively approached in the fields of corpus linguistics and academic discourse studies. However, works focusing on disciplinary variation in terms of linguistic complexity and comparison of professional and novice academic writing are scarce. Addressing these issues is likely to have important implications for EAP/ESP practitioners in terms of selection of target ...
Added: December 7, 2022
Review of Practices of Collecting and Annotating Texts in the Learner Corpus REALEC
Vinogradova O. I., Lyashevskaya O., , in: Text, Speech, and Dialogue. 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings Lecture Notes in Computer Science (LNAI), vol. 13502Vol. 13502.: Cham: Springer Publishing Company, 2022. P. 77–88.
REALEC, learner corpus released in the open access, had received 6,054 essays written in English by HSE undergraduate students in their English university-level examination by the year 2020. This paper reports on the data collection and manual annotation approaches for the texts of 2014–2019 and discusses the computer tools available for working with the corpus. ...
Added: October 5, 2022
Язык нормативных правовых актов: пора ли бить тревогу?
Knutov A., Chaplinskiy A., Alimpeev D., Вестник Пермского университета. Юридические науки 2022 № 3(57) С. 399–426
Introduction: the article describes the experience of assessing the readability of regulatory legal acts by analyzing the complexity of their syntactic constructions. According to the subjective perception, normative texts become more complicated from year to year, which makes it difficult to interpret them and understand the legal meaning. Purpose: to test this hypothesis based on ...
Added: October 3, 2022
Кластеризация данных, извлечение ключевых слов и лексическое разнообразие в текстах эссе учебного корпуса
Scherbakova A., В кн.: Межкультурное пространство: лингвистический и дидактический аспекты. Материалы секций "Межкультурная лингвистика", "Межкультурная транслатология" и студенческого научного форума. Пленарное заседание и секция «Межкультурная дидактика».Ч. 2.: Издательство ПетрГУ, 2021.
The paper focuses on the task of clustering essays produced by ESL (English as a Second Language) learners. The data was taken from a learner corpus REALEC. The division of texts by certain characteristics can be useful to speed up the analysis of a single corpus or access to the necessary sections of a large ...
Added: September 30, 2021
Автоматическое обнаружение и исправление деривационных ошибок в письменной речи на русском как иностранном
Vyrenkova A. S., Смирнов И. Ю., Вестник Новосибирского государственного университета. Серия: Лингвистика и межкультурная коммуникация 2021 Т. 19 № 3 С. 57–68
Learner corpora serve as one of the most valuable sources of statistical data on learners' errors. For instance, data from foreign-language learners’ corpora can be used for the Second Language Acquisition research. However, corpora representativity strongly depends on the quality of its error markup, which is most frequently carried out manually and thus presents a ...
Added: September 24, 2021
Comparative Study Of Data Clustering Algorithms And Analysis Of The Keywords Extraction Efficiency: Learner Corpus Case
Scherbakova A., / NRU HSE. Series WP BRP "Linguistics". 2020.
Added: December 2, 2020
What’s in a comma: Corpus study of punctuation errors and L1 interference
Pospelova K., Viklova A., Vinogradova O. I., , in: Learner Corpus Conference. LCR 2019. Book of Abstracts.: [б.и.], 2019. P. 0–20.
TBC ...
Added: November 10, 2019
Software development for corpus research in English studies
Smirnova E. A., Strinyuk S. A., Lanin V., , in: Emerging Writing Research from the Russian Federation.: WAC Clearinghouse, University Press, Colorado, 2021. P. 195–210.
Added: October 20, 2019
Оценивание иноязычной письменной речи как когнитивный процесс
Ershova T., Профессиональное образование. Столица 2018 № 7 С. 45–47
This article gives a description of language teachers’ cognition when assessing student writing. It also lists some factors that affect the objectivity and reliability of writing assessment. The author offers a system of sample tasks aimed at the development of language teachers’ professional cognitive and communicative skills needed when assessing student writing, as well as several ...
Added: February 3, 2019
REALEC learner treebank: annotation principles and evaluation of automatic parsing
Lyashevskaya O., Пантелеева И. М., , in: Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (TLT 16).: Association for Computational Linguistics, 2017. P. 80–87.
The paper presents a Universal Dependencies (UD) annotation scheme for a learner English corpus. The REALEC dataset consists of essays written in English by Russian-speaking university students in the course of general English. The original corpus is manually annotated for learners’ errors and gives information on the error span, error type, and the possible correction ...
Added: December 11, 2018
Automatic dependency parsing of a learner English corpus REALEC
Lyashevskaya O., Пантелеева И. М., / NRU HSE. Series WP BRP "Linguistics". 2017.
The paper presents a Universal Dependencies (UD) annotation scheme for a learner English corpus. The REALEC dataset consists of essays written in English by Russian-speaking university students in the course of general English. The essays are a part of students' preparation for the independent final examination similar to the international English exam. While adjusting existing ...
Added: December 15, 2017
THE DESIGN OF TESTS WITH MULTIPLE CHOICE QUESTIONS AUTOMATICALLY GENERATED FROM ESSAYS IN A LEARNER CORPUS
Vinogradova O. I., Login Nikita Vjacheslavovich, / NRU HSE. Series WP BRP "Linguistics". 2017. No. 60.
Learner corpora have great potential as sources of educational material. If a corpus contains annotations of mistakes in student works, it can be of use for the recognition and analysis of the most common error patterns. The error-annotation system of the learner corpus REALEC makes it possible to automatically generate different types of test questions ...
Added: December 13, 2017
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit