BOOK-CHAPTER

3. Natural language processing tools and CALL

Marie-Josée Hamel

Year: 2008 Language learning and language teaching Pages: 63-96   Publisher: John Benjamins Publishing Company

Abstract

Dans ce chapitre, nous nous proposons d’examiner la contribution du Traitement Automatique du Langage (TAL) en Apprentissage des Langues Assisté par Ordinateur (ALAO) avec une perspective sur l’enseignement du français. Le chapitre comporte deux sections principales. Dans la première, nous traitons de Tuteurs Intelligents (TI) puis, nous nous concentrons sur les TIs dédiés à l’apprentissage de la langue. On verra que dans ces systèmes d’Apprentissage des Langues Intelligemment Assisté par Ordinateur (ALIAO), les techniques de TAL occupent une place centrale, notamment celle de ‘parsing’. Notre deuxième section est consacrée à la description d’un système d’ALIAO nommé FreeText, qui vise des apprenants du français langue seconde de niveau intermédiaire à avancé. Il s’agit d’un riche environnement d’ALAO qui comprend un ensemble d’outils de TAL, lesquels ont été adaptés pour permettre de fournir aux apprenants un diagnostic ‘astucieux’ de leur intrant langagier. Nous concluons ce chapitre en discutant des avantages, dans le contexte de l’apprentissage d’une langue, du contact des apprenants avec les outils de TAL tels ceux développés dans FreeText. This chapter examines the contribution of Natural Language Processing (NLP) in Computer-Assisted Language Learning (CALL), in the perspective of French language instruction. It is divided into two main sections. The first presents an overview on Intelligent Tutoring Systems (ITS) and then describes a specific type of ITS, the Intelligent Language Tutor (ILT), where Natural Language Processing techniques, namely parsing, are core. The second main section focuses on one such ILT system called FreeText which is dedicated to intermediate-advanced learners of French as a second language. It is an enhanced CALL environment comprising a set of NLP tools, which have been adapted to provide FSL learners with a ‘smart’ diagnosis of their language input. The chapter concludes with a look at the overall benefit, within a language learning context, of learners’ exposure to the use of NLP tools, such as those found in FreeText.

Keywords:
Computer science Natural (archaeology) History Archaeology

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Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Text Readability and Simplification
Physical Sciences →  Computer Science →  Artificial Intelligence
French Language Learning Methods
Social Sciences →  Social Sciences →  Linguistics and Language

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