Second Language Learners’ Spoken Discourse: Practice and Corrective Feedback through Automatic Speech Recognition

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Author(s): Catia Cucchiarini (Radboud University, The Netherlands)and Helmer Strik (Radboud University, The Netherlands)
Copyright: 2014
Pages: 21
Source title: Innovative Methods and Technologies for Electronic Discourse Analysis
Source Author(s)/Editor(s): Hwee Ling Lim (The Petroleum Institute-Abu Dhabi, UAE)and Fay Sudweeks (Murdoch University, Australia)
DOI: 10.4018/978-1-4666-4426-7.ch008

Keywords: Digital Communications / Information Science Reference / Literacy and Language Studies / Media & Communications

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Abstract

This chapter examines the use of Automatic Speech Recognition (ASR) technology in the context of Computer Assisted Language Learning (CALL) and language learning and teaching research. A brief introduction to ASR is first provided, to make it clear why and how this technology can be used to the benefit of learning and development in second language (L2) spoken discourse. This is followed by an overview of the state of the art in research on ASR-based CALL. Subsequently, a number of relevant projects on ASR-based CALL conducted at the Centre for Language and Speech Technology of the Radboud University in Nijmegen (the Netherlands) are presented. Possible solutions and recommendations are discussed given the current state of the technology with an explanation of how such systems can be used to the benefit of Discourse Analysis research. The chapter concludes with a discussion of possible perspectives for future research and development.

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Second Language Learners’ Spoken Discourse: Practice and Corrective Feedback through Automatic Speech Recognition

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