Steve Bodnar


2014

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ASR-based CALL systems and learner speech data: new resources and opportunities for research and development in second language learning
Catia Cucchiarini | Steve Bodnar | Bart Penning de Vries | Roeland van Hout | Helmer Strik
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

In this paper we describe the language resources developed within the project “Feedback and the Acquisition of Syntax in Oral Proficiency” (FASOP), which is aimed at investigating the effectiveness of various forms of practice and feedback on the acquisition of syntax in second language (L2) oral proficiency, as well as their interplay with learner characteristics such as education level, learner motivation and confidence. For this purpose, use is made of a Computer Assisted Language Learning (CALL) system that employs Automatic Speech Recognition (ASR) technology to allow spoken interaction and to create an experimental environment that guarantees as much control over the language learning setting as possible. The focus of the present paper is on the resources that are being produced in FASOP. In line with the theme of this conference, we present the different types of resources developed within this project and the way in which these could be used to pursue innovative research in second language acquisition and to develop and improve ASR-based language learning applications.