Arabic Treebank - Broadcast News v1.0

Item Name: Arabic Treebank - Broadcast News v1.0
Author(s): Mohamed Maamouri, Ann Bies, Seth Kulick, Sondos Krouna, Dalila Tabassi, Michael Ciul
LDC Catalog No.: LDC2012T07
ISBN: 1-58563-615-0
ISLRN: 009-748-438-749-7
Release Date: July 18, 2012
Member Year(s): 2012
DCMI Type(s): Text
Data Source(s): broadcast news
Project(s): GALE
Application(s): cross-lingual information retrieval, automatic content extraction, information detection
Language(s): Standard Arabic, Arabic
Language ID(s): arb, ara
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2012T07 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Maamouri, Mohamed, et al. Arabic Treebank - Broadcast News v1.0 LDC2012T07. Web Download. Philadelphia: Linguistic Data Consortium, 2012.

Introduction

Arabic Treebank - Broadcast News v1.0 was developed at the Linguistic Data Consortium (LDC). It consists of 120 transcribed Arabic broadcast news stories with part-of-speech, morphology, gloss and syntactic tree annotation in accordance with the Penn Arabic Treebank (PATB) Morphological and Syntactic Annotation Guidelines.

The ongoing PATB project supports research in Arabic-language natural language processing and human language technology development. The methodology and work leading to the release of this publication are described in detail in the documentation accompanying this corpus.

Data

This release contains 432,976 source tokens before clitics were split, and 517,080 tree tokens after clitics were separated for treebank annotation. The source materials are Arabic broadcast news stories collected by LDC during the period 2005-2008 from the following sources: Abu Dhabi TV, Al Alam News Channel, Al Arabiya, Al Baghdadya TV, Al Fayha, Alhurra, Al Iraqiyah, Aljazeera, Al Ordiniyah, Al Sharqiyah, Dubai TV, Kuwait TV, Lebanese Broadcasting Corp., Oman TV, Radio Sawa, Saudi TV and Syria TV. The transcripts were produced by LDC.

Samples

Please follow this link for a sample from this corpus.

Sponsorship

This work was supported in part by the Defense Advanced Research Projects Agency, GALE Program Grant No. HR0011-06-1-0003. The content of this publication does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.

Updates

None at this time.

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