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Using an Error-Annotated Learner Corpus (REALEC) in DDL Lessons
P. 112–121.
Publication based on the results of:
Nikita Login, Jazykovedny Casopis 2023 Vol. 74 No. 1 P. 345–356
Learner corpora with error annotation can serve as a source of data for automated question generation (QG) for language testing. In case of multiple choice gapfill lexical questions, this process involves two steps. The first step is to extract sentences with lexical corrections from the learner corpus. The second step, which is the focus of ...
Added: September 16, 2024
Perez-Guerra J., Smirnova E. A., Journal of Language and Education 2024 Vol. 10 No. 1 P. 101–114
Mastering verbal tenses, especially those expressing aspect, in a second language presents a challenge as learners frequently link the semantic nuances of verbal forms in their second language (L2) to the characteristics of the verbal systems in their native languages (L1). This study explores the impact of L1 on the usage of the English Present ...
Added: March 3, 2024
Galeyeva A. I., Gumovskaya G., Актуальные проблемы филологии и педагогической лингвистики (Россия) Тематический выпуск "Лингвистика XXI века: направления, методы, перспективы развития" 2023 No. 3 P. 183–191
This article studies how L2 Russian speaking learners of English for Academic Purposes acquire the skill of grammatical metaphor phrasal inclusion. The study applies corpus methodology (Lancsbox concordance tools) and statistical analysis tools in order to analyse the interdendency between the level of linguistic expertise of learners and their ability to apply certain patterns with ...
Added: October 18, 2023
Lyashevskaya O., Pyzhak J.V., Vinogradova O. I., Russian Journal of Linguistics 2022 Vol. 26 No. 2 P. 471–492
This article explores the word-formation dimension of learner text complexity which indicates how skilful the non-native speakers are in using more and less complex - and varied - derivational constructions. In order to analyse the association between complexity and writing accuracy in word formation as well as interactive effects of task type, text register, and ...
Added: October 5, 2022
Smirnova E. A., Стринюк С. А., Journal of English as a Lingua Franca 2020 Vol. 9 No. 1 P. 81–101
The fact that English has become a lingua franca of academic communication has led to increased attention to teaching English for academic purposes (EAP) at the academia. Academic discourse markers, such as hedges, have been an important topic in academic writing research whose prime aim is helping non-Anglophone researchers to present their research findings in ...
Added: October 14, 2020
Vinogradova O. I., Buzanov A., Генералова С. А. et al., , in: ПРОСТРАНСТВО НАУЧНЫХ ИНТЕРЕСОВ: ИНОСТРАННЫЕ ЯЗЫКИ И МЕЖКУЛЬТУРНАЯ КОММУНИКАЦИЯ - СОВРЕМЕННЫЕ ВЕКТОРЫ РАЗВИТИЯ И ПЕРСПЕКТИВЫВып. 3.: Буки Веди, 2019. Ch. 6 P. 44–49.
Working with learner corpora requires elaborate NLP techniques such as POS-annotation. In this article a team of computational linguists presents their experience of choosing a POS-tagger for precise and effortless annotation of .txt files with Python3. Russian Error-Annotated Learner English Corpus (REALEC) is the underlying corpora to which text features the POS-tagger has to respond. ...
Added: December 28, 2019
Lyashevskaya O., Irina Panteleeva, Olga Vinogradova, Assessing Writing 2021 No. 49 Article 100529
EFL methodology has always recognized the importance of giving student learners of foreign languages regular and quick feedback on student speech production, both written and oral, and over the past two decades there appeared various tools for the provision of automated instant feedback. The presented paper offers an application that focuses on measuring text complexity, ...
Added: October 20, 2019
Olga I. Vinogradova, Olga N. Lyashevskaya, Irina M. P., / NRU Higher School of Economics. Series WP BRP 55/LNG/2017. 2019. No. 79.
EFL methodology has always recognized the importance of giving student learners of foreign languages regular and quick feedback on student speech production, both written and oral, but over the past two decades there appeared various tools ensuring the provision of automated instant feedback. The presented paper offers such a tool that focuses on measuring text ...
Added: October 10, 2019
Olga Vinogradova, , in: Learner Corpora and Language TeachingVol. 92.: John Benjamins Publishing Company, 2019. Ch. 1-2 P. 29–48.
The paper introduces a valuable tool for EFL instructors to select the direction for creating custom-made learning materials, namely, using a learner corpus with errors annotated by experts for the purpose of administering to the target group of learners a custom-made test which has been automatically generated from the sentences with student errors. The paper describes the ...
Added: November 8, 2017
Vinogradova O. I., ПОЛИЛИНГВИАЛЬНОСТЬ И ТРАНСКУЛЬТУРНЫЕ ПРАКТИКИ 2018 Vol. 15 No. 2018/3 P. 372–380
The role of access to a learner corpus has proved to increase efficiency of L2 acquisition for learners as well as teaching efficiency for EFL instructors. This paper presents a computer tool for a learner corpus designed at the School of Linguistics of the Higher School of Economics for both categories of users. REALEC, Russian ...
Added: November 8, 2017
Lyashevskaya O., Olga Vinogradova, , in: 4th Learner Corpus Conference. LCR 2017. Book of Abstracts.: Bozen: [б.и.], 2017. P. 200–202.
REALEC (Vinogradova, 2016) is the first in the open access collection of English texts (mainly essays) written by students with Russian as their native language who are learning English at the university. The project team working with the corpus over the last two years have been developing computational tools to make the use of REALEC ...
Added: November 8, 2017
Bozen: [б.и.], 2017.
The conference was organised under the aegis of the Learner Corpus Association and was hosted by Eurac Research Institute for Applied Linguistics. It was themed "Widening the scope of learner corpus research" and brought together researchers and language teachers, software developers and linguists from 23 countries around the world. ...
Added: November 7, 2017
Rakhilina E. V., Vyrenkova A. S., Mustakimova E. et al., , in: Proceedings of the joint workshop on NLP for Computer Assisted Language Learning and NLP for Language Acquisition at SLTC.: Linköping: LiU Electronic Press, 2016. Ch. 10 P. 1–10.
In this paper we describe an open learner corpus of Russian. The Russian Learner Corpus (RLC) is the first corpus with clear distinction between foreign language learners and heritage speakers. We discuss the structure of the corpus, its development and the annotation principles. This paper describes the platform of the RLC which combines online tools ...
Added: November 5, 2017
Olshevskaya M., Международный аспирантский вестник. Русский язык за рубежом 2018 № 1 С. 13–18
On the body material in the article, common errors in the use and construction of the verb form are considered - from the theoretical and typological points of view. The data of the RLC educational building containing texts of students of the Russian language as a foreign language are used. Identified "weaknesses" in the assimilation ...
Added: October 19, 2017
Kultepina O., В кн.: Многоязычие и семья.: Retorika, 2018. С. 170–183.
This paper presents corpus-based online tool RuSkELL which can be used as an auxiliary learning resource in Russian as foreign language class. RuSkELL is based on ruTenTen11, Russian corpora in Sketch Engine, and adapted for non-professional users who don’t know anything about corpus linguistics. RuSkELL may be an effective support to traditional approaches of learning ...
Added: October 5, 2017
Fenogenova A., Kuzmenko E., / NRU HSE. Series WP BRP "Linguistics". 2016.
Learner corpora constitute an effective resource for specialists in fields of second language acquisition, foreign language teaching and corpus linguistics. They tend to get significant scholarly help from statistical tools of various kinds. However, for valuable usage of a corpus it should provide convenient and powerful tools for searching and manipulating data. In this paper ...
Added: December 14, 2016
Vinogradova O. I., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва,1–4 июля 2016 г.)Вып. 15.: М.: Изд-во РГГУ, 2016. P. 830–840.
The paper presents the rationale for the decisions that were taken in the set-up and further development of a learner corpus of student texts written in English by Russian learners of English, the only Russian learner corpus in the open access. The tool of manual expert annotation is in the focus of the present observations, ...
Added: May 18, 2016
Kutuzov A. B., Kuzmenko E., , in: Proceedings of the 4th workshop on NLP for Computer Assisted Language Learning at NODALIDA 2015, Vilnius, 11th May, 2015Issue 114.: Linköping University Electronic Press, 2015. P. 35–41.
This paper proposes integration of three open source utilities: brat web annotation tool, Freeling suite of linguistic analyzers and Aspell spellchecker. We demonstrate how their combination can be used to pre-annotate texts in a learner corpus of English essays with potential errors and ease human annotators’ work. Spellchecker alerts and morphological analyzer tagging probabilities are ...
Added: May 31, 2015
Linköping University Electronic Press, 2015.
The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (CALL) – NLP4CALL – is a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. ...
Added: May 31, 2015
Kutuzov A. B., Kuzmenko E., , in: Proceedings of the third workshop on NLP for computer-assisted language learning at SLTC 2014, Uppsala University.: Linköping: Linköping University Electronic Press, 2014. P. 87–97.
The paper describes the learner corpus composed of English essays written by native Russian speakers. REALEC (Russian Error-Annotated Learner English Corpus) is an error-annotated, available online corpus, now containing more than 200 thousand word tokens in almost 800 essays. It is one of the first Russian ESL corpora, dynamically developing and striving to improve both ...
Added: January 12, 2015
Kutuzov A. B., Kunilovskaya M., , in: Text, Speech and Dialogue 17th International Conference, TSD 2014, Brno, Czech Republic, September 8-12, 2014. Proceedings.: Springer, 2014. P. 315–323.
The project we present – Russian Learner Translator Corpus (RusLTC) is a multiple learner translator corpus which stores Russian students’ translations out of English and into it. The project is being developed by a cross-functional team of translator trainers and computational linguists in Russia. Translations are collected from several Russian universities; all translations are made ...
Added: September 15, 2014
Dzhakupova S., Zevakhina N., В кн.: Slavica Helsingiensia 45. Инструментарий русистики: Ошибки и многоязычие.: Хельсинки: Университет Хельсинки, 2014. С. 35–49.
The paper discusses case (non-)coincidence in elliptical coordinated constructions, which is one of the most wide-spread type of errors that Russian native speaker make. ...
Added: June 16, 2014