DDL is in the details. and in the big themes
In: Proceedings of the Corpus Linguistics Conference: CL2007, 2007
Online
Konferenz
Zugriff:
International audience ; Data-driven learning (DDL) relies on learners being able to perceive patterns in raw data, typically in the form of concordances. As with all areas of DDL, empirical support for this is scarce, especially in major areas of grammar. This paper describes an experiment where 100 French engineering students were provided with either a) traditional grammar rules or b) concordances for will and going to. Tests before and after the experiment allow a direct comparison of traditional rule-based learning the pattern-detection “discovery-learning” involved in DDL.
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DDL is in the details. and in the big themes
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Autor/in / Beteiligte Person: | Boulton, Alex ; Centre de Recherches et d'Applications Pédagogiques en Langues (CRAPEL) ; Université Nancy 2 ; Analyse et Traitement Informatique de la Langue Française (ATILF) ; Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS) |
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Zeitschrift: | Proceedings of the Corpus Linguistics Conference: CL2007, 2007 |
Veröffentlichung: | HAL CCSD, 2007 |
Medientyp: | Konferenz |
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