Integrating learner corpora and natural language processing: a crucial step towards reconciling technological sophistication and pedagogical effectiveness
(2007) ReCall — Vol. 19, n° 3, p. 252-268 (2007)
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- Authors
Granger, Sylviane 
- Abstract
- (en) Learner corpora, electronic collections of spoken or written data from foreign language learners, offer unparalleled access to many hitherto uncovered aspects of learner language, particularly in their error-tagged format. This article aims to demonstrate the role that the learner corpus can play in CALL, particularly when used in conjunction with web-based interfaces which provide flexible access to error-tagged corpora that have been enhanced with simple NLP techniques such as POS-tagging or lemmatization and linked to a wide range of learner and task variables such as mother tongue background or activity type. This new resource is of interest to three main types of users: teachers wishing to prepare pedagogical materials that target learners' attested difficulties; learners themselves for editing or language awareness purposes and NLP researchers, for whom it serves as a benchmark for testing automatic error detection systems.
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Citations
Granger, S., Kraif, O., Ponton, C., Antoniadis, G., & Zampa, V. (2007). Integrating learner corpora and natural language processing: a crucial step towards reconciling technological sophistication and pedagogical effectiveness. ReCall, 19(3), 252-268. https://doi.org/10.1017/S0958344007000237 (Original work published 2007)