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Academic Paper


Title: Integrating learner corpora and natural language processing: A crucial step towards reconciling technological sophistication and pedagogical effectiveness
Author: Sylviane Granger
Institution: Université Catholique de Louvain
Author: Olivier Kraif
Institution: Université Stendhal - Grenoble 3
Author: Claude Ponton
Institution: Université Stendhal - Grenoble 3
Author: Georges Antoniadis
Institution: Université Stendhal - Grenoble 3
Author: Virginie Zampa
Institution: Université Stendhal - Grenoble 3
Linguistic Field: Applied Linguistics; Computational Linguistics; Text/Corpus Linguistics
Abstract: 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.

CUP AT LINGUIST

This article appears IN ReCALL Vol. 19, Issue 3, which you can READ on Cambridge's site or on LINGUIST .



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