Arabic Treebank: Part 1 v 3.0 (POS with full vocalization + syntactic analysis)

Item Name: Arabic Treebank: Part 1 v 3.0 (POS with full vocalization + syntactic analysis)
Author(s): Mohamed Maamouri (project head), Ann Bies, Tim Buckwalter, Hubert Jin
LDC Catalog No.: LDC2005T02
ISBN: 1-58563-330-5
ISLRN: 692-072-445-089-3
Release Date: February 15, 2005
Member Year(s): 2005
DCMI Type(s): Text
Data Source(s): newswire
Project(s): TIDES, GALE
Application(s): information detection, cross-lingual information retrieval, automatic content extraction, natural language processing
Language(s): Standard Arabic
Language ID(s): arb
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2005T02 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Mohamed Maamouri (project head), et al. Arabic Treebank: Part 1 v 3.0 (POS with full vocalization + syntactic analysis) LDC2005T02. Web Download. Philadelphia: Linguistic Data Consortium, 2005.
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To support the development of data-driven approaches to natural language processing (NLP), human language technologies, automatic content extraction (topic extraction and/or grammar extraction), cross-lingual information retrieval, information detection, and other forms of linguistic research on Modern Standard Arabic in general, the LDC was sponsored to develop an Arabic Treebank of 1,000,000 words. This corpus is a re-release of part one of that project, with the addition in Version 3.0 of improved morphological/part-of-speech annotation (including full vocalization and case endings).


The project targets the description of a written Modern Standard Arabic corpus from the Agence France Presse (AFP) newswire archives for July-November 2000 (files dated 20000/7/15 to 2000/11/15). This corpus includes 734 stories representing 145,386 words (166,068 tokens after clitic segmentation in the Treebank; the number of Arabic tokens is 123,796). For this work, annotators must be native speakers of Arabic, and they must understand enough linguistics to check morphosyntactic analysis and build syntactic structures.


To see an example of this corpus, please examine the following samples:

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