Revisiting Arabic Part of Speech Tagsets

Assigning the appropriate grammatical category to a word given a context is very important step in major areas of natural language processing. A limited numbers of Part of Speech Taggers currently exist for Arabic. These taggers mainly adopt tagsets that were developed for languages such as English....

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Bibliographic Details
Main Authors: Elhadj, Yahya O. M., Abdelali, Ahmed, Bouziane, Rachid, Ammar, Adel H.
Format: Conference Proceeding
Language:English
Subjects:
Arabic Language
Automation
Categories
Compatibility
Compounds
Computational linguistics
Conferences
Context
Hidden Markov models
Linguistic Features
Morphology
Natural language (computers)
Natural Language Processing
Part of Speech
Pragmatics
Speech
Syntax
Tagging
Tags
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Description
Summary:Assigning the appropriate grammatical category to a word given a context is very important step in major areas of natural language processing. A limited numbers of Part of Speech Taggers currently exist for Arabic. These taggers mainly adopt tagsets that were developed for languages such as English. In this paper we present an effort of proposing a revised categories for Arabic POS tags that would take into consideration the richness of the language as well as its compatibility for automatic processing.
ISSN:2161-5322
2161-5330
DOI:10.1109/AICCSA.2014.7073282