Titre :

Teaching Syntax with Clarin Corpora and Resources

Auteur(s) :

Balvet, Antonio [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]

Titre de la manifestation scientifique :

CLARIN Annual Conference 2023

Organisateur(s) de la manifestation scientifique :

CLARIN ERIC

Ville :

Leuven (BE)

Pays :

Belgique

Date de début de la manifestation scientifique :

2023-10-16

Titre de l’ouvrage :

CLARIN Annual Conference Proceedings

Date de publication :

2023

Mot(s)-clé(s) en anglais :

Corpus linguistics
natural language processing
exercise generation
syntax

Discipline(s) HAL :

Sciences de l'Homme et Société/Linguistique
Informatique [cs]/Informatique et langage [cs.CL]

Résumé en anglais : [en]

The recent COVID-19 pandemic has brought online learning to the forefront for learners andteachers. As a consequence, the demand for self-paced and adaptive learning resources hasreached unprecedented levels. Prior to the ...
Lire la suite >The recent COVID-19 pandemic has brought online learning to the forefront for learners andteachers. As a consequence, the demand for self-paced and adaptive learning resources hasreached unprecedented levels. Prior to the virus outbreak and consecutive lockdowns, universitieshad been using Moodle (and other SCORM1 compliant platforms) as a Learning ManagementSystem (LMS), which has helped make the transition from on-site to online learning. But teach-ers still have had to face the challenge of designing and implementing assessment activities inthe form of self-correcting activities (true/false, multiple answer questions, mark the words, fill inthe blanks questions, etc.), instead of plain printed quizzes and tests. This step has proved to be amajor hurdle since designing, and most of all, manually editing formative and evaluative assess-ment activities is a very labor-intensive task. In this article, we present a framework that buildsupon corpora and resources available from the LINDAT / CLARIAH-CZ Data & Tools platformin order to generate quizzes and other activities related to syntax, for the Moodle platform. Aftersome background on using Natural Language Processing (NLP) and electronic corpora for teach-ing syntax, we present our corpus-to-quiz processing chain, and we outline preliminary resultson deploying automatically generated French syntax quizzes in the classroom.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Savoirs, Textes, Langage (STL) - UMR 8163

Source :

Harvested from HAL