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
DOI: https://doi.org/10.35111/12tq-vy11
Release Date: February 15, 2005
Member Year(s): 2005
DCMI Type(s): 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): 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.
Related Works: View

Introduction

Arabic Treebank: Part 1 v 3.0 (POS with full vocalization + syntactic analysis) was developed by the Linguistic Data Consortium (LDC) and contains 123,795 Arabic word tokens with part-of-speech (POS) and syntactic treebank annotation. The POS annotation includes the lexical category, inflectional features, a gloss, full vocalization, and case ending.

The goal of the Arabic Treebank project is 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 general linguistic research on Modern Standard Arabic. LDC was sponsored to develop an Arabic POS and Treebank of 1 million words.

The Penn Arabic Treebank, which started in November 2001 as part of the DARPA TIDES project, is particularly suitable for language developers, computational linguists, and computer scientists who are interested in various aspects of NLP. It started in the fall of 2001 with the objective of annotating a large Arabic machine-readable text corpus manually and automatically. This corpus is a re-release of part one of that project, with the addition of improved morphological/part-of-speech annotation (including full vocalization and case endings).

The previous and subsequent versions of this corpus are, respectively:

Data

The following table gives a breakdown of the data contained in the entire Arabic Treebank project, with discrepancies between versions for Parts 1 and 3. The fields include source, number of stories, total number of tokens, number of tokens after clitic separation, and number of Arabic word tokens after punctuation, numbers, and latin strings have been taken out. The totals given at the bottom are calculated from the latest versions where discrepencies exist, and do not include tokens after clitic separation since that number is missing from Part 4.

Part Source Stories Total Tokens Tokens After Clitic Separation Arabic Word Tokens
1 (V 2.0) Agence France Presse 734 140,265 168,123 N/A
1 (V 3.0 and 4.1) Agence France Presse 734 145,386 166,068 123,795
2 Ummah Press 501 144,199 169,319 125,709
3 (V 1.0 and 2.0) An Nahar News Agency 600 340,281 400,213 293,035
3 (V 3.2) An Nahar News Agency 599 339,710 402,291 292,554
4 Assabah 397 161,915 N/A 146,491
Totals   2,231 791,210   688,549

This corpus uses Modern Standard Arabic text from the Agence France Presse (AFP) newswire archives for July - November 2000 originally released in Arabic Gigaword (LDC2003T12). 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

For examples of the data in this corpus, please view the following samples:

Updates

None at this time.

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