Menzel, W, Atwell, E, Bonaventura, P et al. (4 more authors) (2000) The ISLE corpus of non-native spoken English. In: Gavrilidou, M, (ed.) Proceedings of LREC 2000: Language Resources and Evaluation Conference, vol. 2. LREC 2000: Language Resources and Evaluation Conference, 31 May - 02 Jun 2000, Athens, Greece. European Language Resources Association , 957 - 964. ISBN 2-9517408-6-7
Abstract
For the purpose of developing pronunciation training tools for second language learning a corpus of non-native speech data has been collected, which consists of almost 18 hours of annotated speech signals spoken by Italian and German learners of English. The corpus is based on 250 utterances selected from typical second language learning exercises. It has been annotated at the word and the phone level, to highlight pronunciation errors such as phone realisation problems and misplaced word stress assignments. The data has been used to develop and evaluate several diagnostic components, which can be used to produce corrective feedback of unprecedented detail to a language learner.
Metadata
Item Type: | Proceedings Paper |
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Copyright, Publisher and Additional Information: | This paper has been published at LREC 2000: Published with the permission of ELRA. This paper was published within the proceedings of the LREC 2000 Conference, licensed under CC-BY-NC, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. © 1998-2012 ELRA - European Language Resources Association. |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Dec 2014 11:26 |
Last Modified: | 19 Dec 2022 13:29 |
Published Version: | http://www.lrec-conf.org/proceedings/lrec2000/ |
Status: | Published |
Publisher: | European Language Resources Association |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81664 |