Automatically generated, phonemic Arabic-IPA pronunciation tiers for the boundary annotated Qur’an dataset for machine learning (version 2.0)

Sawalha, M, Brierley, C and Atwell, E (2014) Automatically generated, phonemic Arabic-IPA pronunciation tiers for the boundary annotated Qur’an dataset for machine learning (version 2.0). In: Proceedings of LRE-Rel 2: 2nd Workshop on Language Resource and Evaluation for Religious Texts, LREC 2014 post-conference workshop 31st May 2014, Reykjavik, Iceland. LRE-Rel 2: 2nd Workshop on Language Resource and Evaluation for Religious Texts, LREC 2014 post-conference workshop, 31st May 2014, Harpa Conference Center, Reykjavik, Iceland. The University of Leeds , 42 - 47.

Abstract

Metadata

Authors/Creators:
  • Sawalha, M
  • Brierley, C
  • Atwell, E
Copyright, Publisher and Additional Information: Sawalha, M, Brierley, C and Atwell, E (c) 2014, University of Leeds. Reproduced with permission from the copyright holders.
Keywords: IPA phonemic transcription; SALMA Tagger; Arabic transcription technology
Dates:
  • Published: 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 27 Nov 2014 09:55
Last Modified: 15 Jan 2018 23:13
Published Version: http://www.lrec-conf.org/proceedings/lrec2014/work...
Status: Published
Publisher: The University of Leeds

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