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.

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

Forti, Luciana;
2020-01-01

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.
2020
978-2-490057-81-8
corpora, second language learning, Italian, Spanish, German, French
corpora, apprendimento linguistico, Italiano, Spagnolo, Tedesco, Francese
File in questo prodotto:
File Dimensione Formato  
Jablonkai et al. - Data-driven learning for languages other than Engl.pdf

accesso aperto

Descrizione: Articolo principale
Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 468.4 kB
Formato Adobe PDF
468.4 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12071/22585
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
social impact