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

Eva Schaeffer-Lacroix (1) , Reka Jablonkai , Luciana Forti , Magdalena Abad Castelló , Isabelle Salengros Iguenane , Nina Vyatkina

1 CeLiSo - Centre de Linguistique en Sorbonne

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.

Mots clés: DDL; corpora; French; Learning & Teaching Corpus

Domaines: Education; Linguistique

Eva Schaeffer-Lacroix, Reka Jablonkai, Luciana Forti, Magdalena Abad Castelló, Isabelle Salengros Iguenane, et al.. Data-driven learning for languages other than English: the cases of French, German, Italian, and Spanish. CALL for widening participation, EUROCALL 2020, Aug 2020, Copenhague, Denmark. pp.132 - 137, ⟨10.14705/rpnet.2020.48.1177⟩. ⟨hal-03547807⟩