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Distributive Semantic Models in Language Learning: Automatic Generation of Lexical-Grammatical Tests for Russian as a Foreign Language. / Митрофанова, Ольга Александровна; Белый, Андрей Владимирович; Дубинина, Надежда Александровна.

Корпусная лингвистика – 2023 (SPb Corpora 2023). 21-23 июня 2023 г., Санкт-Петербург. . Издательство Санкт-Петербургского университета, 2024. стр. 252-260.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование

Harvard

Митрофанова, ОА, Белый, АВ & Дубинина, НА 2024, Distributive Semantic Models in Language Learning: Automatic Generation of Lexical-Grammatical Tests for Russian as a Foreign Language. в Корпусная лингвистика – 2023 (SPb Corpora 2023). 21-23 июня 2023 г., Санкт-Петербург. . Издательство Санкт-Петербургского университета, стр. 252-260, Корпусная лингвистика - 2023, Санкт-Петербург, Российская Федерация, 21/06/23. <https://api.dspace.spbu.ru/server/api/core/bitstreams/ef99ea1a-090c-42a9-b9bf-691a014468d5/content>

APA

Митрофанова, О. А., Белый, А. В., & Дубинина, Н. А. (2024). Distributive Semantic Models in Language Learning: Automatic Generation of Lexical-Grammatical Tests for Russian as a Foreign Language. в Корпусная лингвистика – 2023 (SPb Corpora 2023). 21-23 июня 2023 г., Санкт-Петербург. (стр. 252-260). Издательство Санкт-Петербургского университета. https://api.dspace.spbu.ru/server/api/core/bitstreams/ef99ea1a-090c-42a9-b9bf-691a014468d5/content

Vancouver

Митрофанова ОА, Белый АВ, Дубинина НА. Distributive Semantic Models in Language Learning: Automatic Generation of Lexical-Grammatical Tests for Russian as a Foreign Language. в Корпусная лингвистика – 2023 (SPb Corpora 2023). 21-23 июня 2023 г., Санкт-Петербург. . Издательство Санкт-Петербургского университета. 2024. стр. 252-260

Author

Митрофанова, Ольга Александровна ; Белый, Андрей Владимирович ; Дубинина, Надежда Александровна. / Distributive Semantic Models in Language Learning: Automatic Generation of Lexical-Grammatical Tests for Russian as a Foreign Language. Корпусная лингвистика – 2023 (SPb Corpora 2023). 21-23 июня 2023 г., Санкт-Петербург. . Издательство Санкт-Петербургского университета, 2024. стр. 252-260

BibTeX

@inproceedings{14530d9243a84a4284a739481d672040,
title = "Distributive Semantic Models in Language Learning: Automatic Generation of Lexical-Grammatical Tests for Russian as a Foreign Language",
abstract = "The report discusses the results of experiments on automatic generation of lexicalgrammatical tests in Russian as a foreign language for gap-filling with multiple choice on authentic texts. The proposed method is based on the use of distributional semantic models for Russian and can be expanded to other languages. The toolkit developed in course of the study was evaluated in terms of the quality of resulting tests, evaluation procedure proved their correctness and practical suitability",
keywords = "TORFL, automatic generation of language exercises, gap-filling, lexical substitution, distributional semantics",
author = "Митрофанова, {Ольга Александровна} and Белый, {Андрей Владимирович} and Дубинина, {Надежда Александровна}",
year = "2024",
month = oct,
day = "2",
language = "English",
pages = "252--260",
booktitle = "Корпусная лингвистика – 2023 (SPb Corpora 2023). 21-23 июня 2023 г., Санкт-Петербург.",
publisher = "Издательство Санкт-Петербургского университета",
address = "Russian Federation",
note = "null ; Conference date: 21-06-2023 Through 23-06-2023",

}

RIS

TY - GEN

T1 - Distributive Semantic Models in Language Learning: Automatic Generation of Lexical-Grammatical Tests for Russian as a Foreign Language

AU - Митрофанова, Ольга Александровна

AU - Белый, Андрей Владимирович

AU - Дубинина, Надежда Александровна

PY - 2024/10/2

Y1 - 2024/10/2

N2 - The report discusses the results of experiments on automatic generation of lexicalgrammatical tests in Russian as a foreign language for gap-filling with multiple choice on authentic texts. The proposed method is based on the use of distributional semantic models for Russian and can be expanded to other languages. The toolkit developed in course of the study was evaluated in terms of the quality of resulting tests, evaluation procedure proved their correctness and practical suitability

AB - The report discusses the results of experiments on automatic generation of lexicalgrammatical tests in Russian as a foreign language for gap-filling with multiple choice on authentic texts. The proposed method is based on the use of distributional semantic models for Russian and can be expanded to other languages. The toolkit developed in course of the study was evaluated in terms of the quality of resulting tests, evaluation procedure proved their correctness and practical suitability

KW - TORFL

KW - automatic generation of language exercises

KW - gap-filling

KW - lexical substitution

KW - distributional semantics

UR - https://api.dspace.spbu.ru/server/api/core/bitstreams/ef99ea1a-090c-42a9-b9bf-691a014468d5/content

M3 - Conference contribution

SP - 252

EP - 260

BT - Корпусная лингвистика – 2023 (SPb Corpora 2023). 21-23 июня 2023 г., Санкт-Петербург.

PB - Издательство Санкт-Петербургского университета

Y2 - 21 June 2023 through 23 June 2023

ER -

ID: 113865697