Arabic Treebank: Part 1 v 2.0

Item Name: Arabic Treebank: Part 1 v 2.0
Author(s): Mohamed Maamouri, Ann Bies, Hubert Jin, Tim Buckwalter
LDC Catalog No.: LDC2003T06
ISBN: 1-58563-261-9
ISLRN: 333-321-196-670-5
Release Date: February 3, 2003
Member Year(s): 2003
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: LDC2003T06 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Maamouri, Mohamed, et al. Arabic Treebank: Part 1 v 2.0 LDC2003T06. Web Download. Philadelphia: Linguistic Data Consortium, 2003.


Arabic Treebank: Part 1 v 2.0 was produced by Linguistic Data Consortium (LDC) catalog number LDC2003T06 and ISBN 1-58563-261-9. This publication is part one of a a corpus of one million words of Arabic Treebank, designed to support language research and development of language technology for Modern Standard Arabic.


The Penn Arabic Treebank, which is part of the DARPA TIDES project, started in the Fall of 2001 with the objective of performing human and computer annotations of a large Arabic machine-readable text corpus (for project background please see POStest.html). As in previous Penn Treebanks, two different kinds of information need to be produced by two different (human and computer) processes. The Arabic Treebank project consists therefore of two distinct phases:

  1. Part-of-Speech (POS) tagging - divides the text into lexical tokens, and gives relevant information about each token such as lexical category, inflectional features, and a gloss
  2. Arabic Treebanking (ArabicTB) - characterizes the constituent structures of word sequences, provides categories for each non-terminal node, and identifies null elements, co-reference, traces, etc.

Both tasks started in November 2001 with an initial pilot consisting of 734 files representing roughly 166K words of written Modern Standard Arabic newswire from the Agence France Presse corpus.

The target of this publication is to provide a description of a written Modern Standard Arabic text corpus. The source data consists of Agence France Presse (AFP) newswire, spanning from July through November of 2000. This publication includes 734 stories representing 140,265 words (168,123 tokens after clitic segmentation in the Treebank).


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