Quick Rich Transcriptions of Arabic Broadcast News Speech Data

Chomicha Bendahman; Meghan Glenn; Djamel Mostefa; Niklas Paulsson; Stephanie Strassel

Quick Rich Transcriptions of Arabic Broadcast News Speech Data

Chomicha Bendahman, Meghan Glenn, Djamel Mostefa, Niklas Paulsson, Stephanie Strassel

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Abstract

This paper describes the collect and transcription of a large set of Arabic broadcast news speech data. A total of more than 2000 hours of data was transcribed. The transcription factor for transcribing the broadcast news data has been reduced using a method such as Quick Rich Transcription (QRTR) as well as reducing the number of quality controls performed on the data. The data was collected from several Arabic TV and radio sources and from both Modern Standard Arabic and dialectal Arabic. The orthographic transcriptions included segmentation, speaker turns, topics, sentence unit types and a minimal noise mark-up. The transcripts were produced as a part of the GALE project.

Anthology ID:: L08-1124
Volume:: Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)
Month:: May
Year:: 2008
Address:: Marrakech, Morocco
Editors:: Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias
Venue:: LREC
SIG:
Publisher:: European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:: http://www.lrec-conf.org/proceedings/lrec2008/pdf/915_paper.pdf
DOI:
Bibkey:
Cite (ACL):: Chomicha Bendahman, Meghan Glenn, Djamel Mostefa, Niklas Paulsson, and Stephanie Strassel. 2008. Quick Rich Transcriptions of Arabic Broadcast News Speech Data. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).
Cite (Informal):: Quick Rich Transcriptions of Arabic Broadcast News Speech Data (Bendahman et al., LREC 2008)
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PDF:: http://www.lrec-conf.org/proceedings/lrec2008/pdf/915_paper.pdf

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@inproceedings{bendahman-etal-2008-quick,
    title = "Quick Rich Transcriptions of {A}rabic Broadcast News Speech Data",
    author = "Bendahman, Chomicha  and
      Glenn, Meghan  and
      Mostefa, Djamel  and
      Paulsson, Niklas  and
      Strassel, Stephanie",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Odijk, Jan  and
      Piperidis, Stelios  and
      Tapias, Daniel",
    booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
    month = may,
    year = "2008",
    address = "Marrakech, Morocco",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L08-1124/",
    abstract = "This paper describes the collect and transcription of a large set of Arabic broadcast news speech data. A total of more than 2000 hours of data was transcribed. The transcription factor for transcribing the broadcast news data has been reduced using a method such as Quick Rich Transcription (QRTR) as well as reducing the number of quality controls performed on the data. The data was collected from several Arabic TV and radio sources and from both Modern Standard Arabic and dialectal Arabic. The orthographic transcriptions included segmentation, speaker turns, topics, sentence unit types and a minimal noise mark-up. The transcripts were produced as a part of the GALE project."
}

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%0 Conference Proceedings
%T Quick Rich Transcriptions of Arabic Broadcast News Speech Data
%A Bendahman, Chomicha
%A Glenn, Meghan
%A Mostefa, Djamel
%A Paulsson, Niklas
%A Strassel, Stephanie
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F bendahman-etal-2008-quick
%X This paper describes the collect and transcription of a large set of Arabic broadcast news speech data. A total of more than 2000 hours of data was transcribed. The transcription factor for transcribing the broadcast news data has been reduced using a method such as Quick Rich Transcription (QRTR) as well as reducing the number of quality controls performed on the data. The data was collected from several Arabic TV and radio sources and from both Modern Standard Arabic and dialectal Arabic. The orthographic transcriptions included segmentation, speaker turns, topics, sentence unit types and a minimal noise mark-up. The transcripts were produced as a part of the GALE project.
%U https://aclanthology.org/L08-1124/

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Markdown (Informal)

[Quick Rich Transcriptions of Arabic Broadcast News Speech Data](https://aclanthology.org/L08-1124/) (Bendahman et al., LREC 2008)

Quick Rich Transcriptions of Arabic Broadcast News Speech Data (Bendahman et al., LREC 2008)

ACL

Chomicha Bendahman, Meghan Glenn, Djamel Mostefa, Niklas Paulsson, and Stephanie Strassel. 2008. Quick Rich Transcriptions of Arabic Broadcast News Speech Data. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).