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)
Authors: Mohamed Maamouri (project head), Ann Bies, Tim Buckwalter, and Hubert Jin
LDC Catalog No.: LDC2005T02
ISBN: 1-58563-330-5
Release Date: Feb 15, 2005
Data Type: text
Data Source(s): newswire
Project(s): GALE, TIDES
Application(s): automatic content extraction, cross-lingual information retrieval, information detection, natural language processing
Language(s): Modern Standard Arabic
Language ID(s): arb
Distribution: 1 DVD
Member fee: $0 for 2005 members
Non-member Fee: US $4000.00
Reduced-License Fee: US $2000.00
Extra-Copy Fee: US $200.00
Non-member License: yes
Online documentation: yes
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Mohamed Maamouri (project head), et al.
2005
Arabic Treebank: Part 1 v 3.0 (POS with full vocalization + syntactic analysis)
Linguistic Data Consortium, Philadelphia

Introduction

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).

Data

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.

Samples

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

Content Copyright

Portions 2000 Agence France Presse, Portions 2005 Trustees of the University of Pennslyvania