This paper presents a computational approach to deal with the phonological and morpho-phonological alternations that occur within the phenomenon of Al'ielal Bil Hazf بالحذف) .(اإلعالل The phenomenon of Al'ielal relates to the alternations that occur in vowel and hamza sounds in certain phonological contexts. The computational approach presented in this paper is built using a linguisticallymotivated formalization of Al'ielal Bil Hazf phenomenon using the Syllabification Analysis of word structure and Phonological Context-Sensitive Rules. We built the computational approach using Finite State Automata technique through Finite State Networks and using mathematical operations applied to these networks, the most important of which is the Composition operation. We applied the phonological rules of alternations related to the phenomenon of Al'ielal Bil Hazf by means of special computational rules known as Replace Rules. These rules were automatically converted into Finite State Transducers through the Xerox Finite State Tools system and using them we were able to computationally deal with the linguistic generalizations and regularities that govern the phonological and morpho-phonological alternations that occur in the phenomenon of Al'ielal Bil Hazf. We also demonstrated in an applied manner the success of our approach in enabling the computer to deal with these alternations.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.