Arabic Treebank: Part 1 v 4.1

Item Name: Arabic Treebank: Part 1 v 4.1
Author(s): Mohamed Maamouri, Ann Bies, Seth Kulick, Fatma Gaddeche, Wigdan Mekki, Sondos Krouna, Basma Bouziri, Wajdi Zaghouani
LDC Catalog No.: LDC2010T13
ISBN: 1-58563-553-7
ISLRN: 512-715-458-848-0
Release Date: November 16, 2010
Member Year(s): 2010
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: LDC2010T13 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Maamouri, Mohamed, et al. Arabic Treebank: Part 1 v 4.1 LDC2010T13. Web Download. Philadelphia: Linguistic Data Consortium, 2010.
Related Works: View


Arabic Treebank: Part 1 (ATB1) v 4.1 was developed at the Linguistic Data Consortium (LDC). It consists of 734 newswire stories from Agence France Presse (AFP) 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 LDCs previous ATB1 publications: Arabic Treebank: Part 1 v 2.0 LDC2003T06 and Arabic Treebank: Part 1 v 3.0 (POS with full vocalization + syntactic analysis) LDC2005T02. 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.


ATB1 v 4.1 contains a total of 145,386 tokens before clitics are split, and 167,280 tokens after clitics are separated for the treebank annotation.


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.


For an example of the data in this corpus, please review the sample file.


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