Data‑driven learning for languages other than English: the cases of French, German, Italian, and Spanish

Reka Ratkaine Jablonkai, Luciana Forti, Magdalena Abad Castelló, Isabelle Salengros Iguenane, Eva Schaeffer‑Lacroix, Nina Vyatkina

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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 thetheme 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. K.‑M. Frederiksen, S. Larsen, L. Bradley & S. Thouësny (Eds), CALL for widening participation: short papers from EUROCALL 2020 (pp. 132‑137). Research‑publishing.net. https://doi.org/10.14705/rpnet.2020.48.1177
Original languageEnglish
Title of host publicationCALL for widening participation: short papers from EUROCALL 2020
EditorsK.‑M. Frederiksen, S. Larsen, L. Bradley, Sylvie Thouësny
PublisherResearch-publishing.net
Pages132-137
Number of pages5
DOIs
Publication statusPublished - 14 Dec 2020

Keywords

  • Data-driven learning
  • Languages other than English LOTE
  • corpora

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