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
Original languageEnglish
Title of host publicationКорпусная лингвистика – 2023 (SPb Corpora 2023). 21-23 июня 2023 г., Санкт-Петербург.
PublisherИздательство Санкт-Петербургского университета
Pages252-260
Number of pages9
StatePublished - 2 Oct 2024
EventКорпусная лингвистика - 2023 - СПбГУ, Санкт-Петербург, Russian Federation
Duration: 21 Jun 202323 Jun 2023

Conference

ConferenceКорпусная лингвистика - 2023
Abbreviated titleSPb Corpora 2023
Country/TerritoryRussian Federation
CityСанкт-Петербург
Period21/06/2323/06/23

    Research areas

  • TORFL, automatic generation of language exercises, gap-filling, lexical substitution, distributional semantics

ID: 113865697