Paper: Using Ontology-based Approaches to Representing Speech Transcripts for Automated Speech Scoring

ACL ID N12-2008
Title Using Ontology-based Approaches to Representing Speech Transcripts for Automated Speech Scoring
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Student Session
Year 2012
Authors

Using Ontology-based Approaches to Representing Speech Transcripts for Automated Speech Scoring Miao Chen School of Information Studies Syracuse University Syracuse, NY 13244, USA mchen14@Syr.edu Abstract This paper presents a thesis proposal on ap-proaches to automatically scoring non-native speech from second language tests. Current speech scoring systems assess speech by pri-marily using acoustic features such as fluency and pronunciation; however content features are barely involved. Motivated by this limita-tion, the study aims to investigate the use of content features in speech scoring systems. For content features, a central question is how speech content can be represented in appro-priate means to facilitate automated speech scoring. The study proposes using ontology-base...