Arabic Broadcast News Transcripts

Item Name: Arabic Broadcast News Transcripts
Author(s): Mohamed Maamouri, David Graff, Christopher Cieri
LDC Catalog No.: LDC2006T20
ISBN: 1-58563-420-4
ISLRN: 476-762-568-967-9
Release Date: December 19, 2006
Member Year(s): 2006
DCMI Type(s): Text
Data Source(s): broadcast news
Application(s): machine learning, machine translation
Language(s): Standard Arabic
Language ID(s): arb
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2006T20 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Maamouri, Mohamed, David Graff, and Christopher Cieri. Arabic Broadcast News Transcripts LDC2006T20. Web Download. Philadelphia: Linguistic Data Consortium, 2006.
Related Works: View


Arabic Broadcast News Transcripts was developed by the Linguistic Data Consortium (LDC) and consists of 10 hours of transcribed speech from Voice of America satellite radio news broadcasts in Arabic recorded by LDC between June 2000 and January 2001. The corresponding speech files are available in Arabic Broadcast News Speech (LDC2006S46).

This work was undertaken in the Networking Data Centers (NetDC) project (MLIS-5017, NSF IIS-9982201) in conjunction with the European Language Resources Association (ELRA). ELRA transcribed 22.5 hours of Arabic broadcast data from Radio Orient (France) that is available in NetDC Arabic BNSC (Broadcast News Speech Corpus) (ELRA-S0157). The goal of the NetDC project was to improve the infrastructure for language resources by designing and implementing new modes of cooperation between LDC and ELRA.


The character encoding is entirely in ASCII; Buckwalter transliteration is used for rendering the Arabic text content. Time alignment and structural markup are rendered via "pseudo-SGML" tags, which are presented one tag per line, with the first character of the line being an open angle bracket.

The lines of transcription text (i.e. the speech and annotation content between the time-stamp tags) all begin with a single space character, and present exactly one token per line. A "token" may be a spoken Arabic word, a punctuation mark, or a single Arabic word enclosed by "(%" and ")", which represents an annotation of a non-speech condition or event (e.g. "music", "noise", "laugh", etc).


None at this time.


Please view this transcript sample.

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