Arabic Language WEKA-Based Dialect Classifier for Arabic Automatic Speech Recognition Transcripts

Alshutayri, A orcid.org/0000-0001-8550-0597, Atwell, ES orcid.org/0000-0001-9395-3764, Alosaimy, A et al. (3 more authors) (2016) Arabic Language WEKA-Based Dialect Classifier for Arabic Automatic Speech Recognition Transcripts. In: Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2016). VarDial 2016, 12 Dec 2016, Osaka, Japan. , pp. 204-211.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: This work is licensed under a Creative Commons Attribution 4.0 International Licence. Licence details: http://creativecommons.org/licenses/by/4.0/
Keywords: Arabic, Language, WEKA, Machine Learning, Dialect, Classifier, Automatic Speech Recognition, Transcript
Dates:
  • Published: 13 November 2016
  • Accepted: 1 November 2016
  • Published (online): 13 November 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Arts (Leeds) > School of Modern Languages and Cultures (Leeds) > Arabic & Middle Eastern Studies (Leeds)
The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 14 Nov 2016 15:27
Last Modified: 05 Oct 2017 15:09
Published Version: http://web.science.mq.edu.au/~smalmasi/vardial3/pd...
Status: Published

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