Towards Developing a Comprehensive Tag Set for the Arabic Language-Reference-Cited by-同舟云学术

Towards Developing a Comprehensive Tag Set for the Arabic Language

Published:2020-09-13 Issue:1 Volume:30 Page:287-296
ISSN:2191-026X
Container-title:Journal of Intelligent Systems
language:en
Short-container-title:

Author:

Alqrainy Shihadeh¹,Alawairdhi Muhammed²

Affiliation:

1. Faculty of Artificial Intelligence, Al-Balqa Applied University , Salt Jordan

2. College of Computing and Informatics, Saudi Electronic University Riyadh , Saudi Arabia

Abstract

Abstract This paper presents a comprehensive Tag set as a fundamental component for developing an automated Word Class/Part-of-Speech (PoS) tagging system for the Arabic language. The aim is to develop a standard and comprehensive PoS tag set that based upon PoS classes and Arabic inflectional morphology useful for Linguistics and Natural Language Processing (NLP) developers to extract more linguistic information from it. The tag names in the developed tag set uses terminology from Arabic tradition grammar rather than English grammar. The usability of the presented Tag set has been tested in manual tagging and built up a set of tagged text to serve as a goal corpus used to compare it with the results obtained from the tagger. The tagger has achieved an average accuracy of 90% using the developed detailed tag set.

Publisher

Walter de Gruyter GmbH

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.degruyter.com/document/doi/10.1515/jisys-2019-0256/pdf

Reference22 articles.

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3. A Hardie, Developing a tag set for automated part-of-speech tagging in Urdu, In Proceedings of the Corpus Linguistics (2003) conference, Lancaster University, UK.

4. El-Kareh and Al-Ansary, An Arabic interactive multi-feature PoS tagger, In Proceeding of the international conference on Artificial and Computational intelligence for Decision Control and Automation in engineering and Industrial Application (ACIDCA 2000) conference, Tunisia.

5. Khojah, Graside, and Knowels, A tagset for the morphosyntactic tagging of Arabic, In presented at Corpus Linguistics (2001), Lancaster University, UK.

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