학술논문

Data-Driven Learning for Languages Other than English: The Cases of French, German, Italian, and Spanish
Document Type
Speeches/Meeting Papers
Reports - Evaluative
Author
Jablonkai, Reka (ORCID 0000-0001-9616-5683); Forti, Luciana (ORCID 0000-0001-5520-7795); Abad Castelló, Magdalena (ORCID 0000-0002-1942-7421); Salengros Iguenane, IsabelleSchaeffer-Lacroix, Eva (ORCID 0000-0002-6260-9095); Vyatkina, Nina (ORCID 0000-0002-2778-8016)
Source
Research-publishing.net. 2020.
Subject
French
German
Italian
Spanish
Computational Linguistics
Data Analysis
Second Language Learning
Second Language Instruction
Teaching Methods
Futures (of Society)
Barriers
Instructional Effectiveness
Educational Resources
Business Communication
Outcomes of Education
Task Analysis
Language
English
Abstract
This paper summarises the contributions to EuroCALL's CorpusCALL SIG Symposium for the year 2020. In line with this year's EuroCALL conference theme, 'CALL for widening participation', the Symposium centred around the theme of "Data-driven learning for languages other than English." This paper gives a brief overview of developments and challenges when using Data-Driven Learning (DDL) to teach French, German, Italian, and Spanish. As research suggests, a DDL approach has been effectively utilised to teach these languages. However, there are differences in available DDL resources and corpora for the respective languages that are appropriate for language teaching. The main challenges for future developments are also discussed. [For the complete volume, "CALL for Widening Participation: Short Papers from EUROCALL 2020 (28th, Online, August 20-21, 2020)," see ED610330.]