CALL-SLT: A Spoken CALL System based on grammar and speech recognition

Linguistic Issues in Language Technology

Manny Rayner¹  Nikos Tsourakis¹  Johanna Gerlach¹  Pierrette Bouillon¹  Claudia Baur¹ 

[1] Geneva University

关键词: CALL;    speech;    grammar;    evaluation;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: C S L I Publications

【 摘 要 】

We describe CALL-SLT, a speech-enabled Computer-Assisted Language Learning application where the central idea is to prompt the student with an abstract representation of what they are supposed to say, and then use a combination of grammar-based speech recognition and rule-based translation to rate their response. The system has been developed to the level of a mature prototype, freely deployed on the web, with versions for several languages. We present an overview of the core system architecture and the various types of content we have developed. Finally, we describe several evaluations, the last of which is a study carried out over about a week using 130 subjects recruited through the Amazon Mechanical Turk, in which CALL-SLT was contrasted against a control version where the speech recognition component was disabled. The improvement in student learning performance between the two groups was significant at p < 0.02.

【 授权许可】

Unknown