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Using corpora to foster L2 construction learning: A data‐driven learning experiment
Author(s) -
Gilquin Gaëtanelle
Publication year - 2021
Publication title -
international journal of applied linguistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.712
H-Index - 39
eISSN - 1473-4192
pISSN - 0802-6106
DOI - 10.1111/ijal.12317
Subject(s) - concordance , test (biology) , grammar , computer science , natural language processing , linguistics , artificial intelligence , mathematics education , psychology , medicine , paleontology , philosophy , biology
This paper adopts a construction grammar approach to test the efficiency of data‐driven learning (DDL) when applied to constructions. High‐intermediate learners of English as a foreign language took part in an experiment consisting, for each construction, in (i) a pre‐test, in which the learners had to produce as many sentences as possible illustrating the constructions, (ii) a DDL intervention, which involved various concordance‐based activities, and (iii) several post‐tests, similar to the pre‐test, performed at regular intervals. The analysis looks at the number of (valid and invalid) constructions produced as well as the native‐like nature of these constructions, as established through a comparison with native corpus data. The analysis also examines the evolution of these results over the different post‐tests. Finally, it considers learners’ attitudes towards the DDL interventions, as evaluated through a questionnaire.