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Developing a Simplified Morphological Analyzer for Arabic Pronominal System

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Author :  Mohammad Mahyoob

Affiliation :  Taibah University

Country :  Saudi Arabia

Category :  NLP

Volume, Issue, Month, Year :  Volume 9, Number 2, April, 2020

Abstract :


This paper proposes an improved morphological analyser for Arabic pronominal system using finite state method. The main advantage of the finite state method is very flexible, powerful and efficient. The most important results about FSAs, relates the class of languages generated by finite state automaton to certain closure properties. This result makes the theory of finite-state automata a very versatile and descriptive framework. The main contribution of this work is the full analysis and the representation of morphological analysis of all the inflections of pronoun forms in Arabic. In this paper we build a finite state network for the inflectional forms of the root words, restricted to all the inflections and grammatical properties of generating the dependent and independent forms of pronouns in Arabic language. The results show high score of accuracy in the output with all the needed linguistic features and the evaluation process of output is conducted using f-score test and the achievement is at the rate of 80% to 83%. The results from the study also provide the evidence that Arabic has strong concatenative word formations.

Keyword :  Computational Morphology, Arabic pronominal system, Arabic Morphological Analyzer, finite state automaton

Journal/ Proceedings Name :  International Journal on Natural Language Computing(IJNLC)

URL :  https://aircconline.com/abstract/ijnlc/v9n2/9220ijnlc02.html

User Name : Mahyoob
Posted 03-05-2020 on 01:03:32 AEDT



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