Corpus et autocorrection pour l'apprentissage des langues.
Abstract
Corpora in language learning are not the sole preserve of teachers: they can also be used directly by learners to promote autonomy and language awareness. However, this “data-driven learning” (DDL) approach has not been widely taken up in traditional teaching contexts, partly because it is thought to require substantial resources and considerable investment on the part of the teachers, as well as being appropriate only for the most advanced learners following specific training. This paper addresses these issues in describing an experiment with lower-intermediate learners of English, 43 undergraduate students at a technical college in France. The study suggests that the use of a corpus for DDL-style consultation in conjunction with other resources (dictionaries and on-line translation engines) allows these learners to improve written work without help from a teacher.
Fichier principal
2010_Landure_Boulton_ASP_autocorrection_final.pdf (570.25 Ko)
Télécharger le fichier
Origin : Files produced by the author(s)
Loading...