Arabic Treebank: Part 2 v 3.1

Item Name: Arabic Treebank: Part 2 v 3.1
Author(s): Mohamed Maamouri, Ann Bies, Seth Kulick, Fatma Gaddeche, Wigdan Mekki, Sondos Krouna, Basma Bouziri, Wajdi Zaghouani
LDC Catalog No.: LDC2011T09
ISBN: 1-58563-590-1
ISLRN: 758-179-408-820-5
Release Date: August 15, 2011
Member Year(s): 2011
DCMI Type(s): Text
Data Source(s): newswire
Project(s): GALE
Application(s): automatic content extraction, cross-lingual information retrieval, information detection
Language(s): Standard Arabic, Arabic
Language ID(s): arb, ara
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2011T09 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Maamouri, Mohamed, et al. Arabic Treebank: Part 2 v 3.1 LDC2011T09. Web Download. Philadelphia: Linguistic Data Consortium, 2011.
Related Works: View


Arabic Treebank: Part 2 (ATB2) v 3.1 was developed at the Linguistic Data Consortium (LDC). It consists of 501 newswire stories from Ummah Press with part-of-speech (POS), morphology, gloss and syntactic treebank annotation in accordance with the Penn Arabic Treebank (PATB) Guidelines developed in 2008 and 2009. This release represents a significant revision of LDC's previous ATB2 publication: Arabic Treebank: Part 2 v 2.0 LDC2004T02.

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 and in two research papers: Enhancing the Arabic Treebank: A Collaborative Effort toward New Annotation Guidelines and Consistent and Flexible Integration of Morphological Annotation in the Arabic Treebank.


ATB2 v 3.1 contains a total of 144,199 source tokens before clitics are split, and 169,319 tree tokens after clitics are separated for the treebank annotation. Source texts were selected from Ummah Press news archives covering the period from July 2001 through September 2002.


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.


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