Arabic morphology generation using a concatenative strategy

Authors:
Violetta Cavalli-Sforza;Abdelhadi Soudi;Teruko Mitamura
Affiliations:
Carnegie Technology, Education, Pittsburgh, PA;Ecole Nationale de L'Industrie, Minerale Rabat, Morocco;Carnegie Mellon University, Pittsburgh, PA
Venue:
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Year:
2000

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Abstract

Arabic inflectional morphology requires infixation, prefixation and suffixation, giving rise to a large space of morphological variation. In this paper we describe an approach to reducing the complexity of Arabic morphology generation using discrimination trees and transformational rules. By decoupling the problem of stem changes from that of prefixes and suffixes, we gain a significant reduction in the number of rules required, as much as a factor of three for certain verb types. We focus on hollow verbs but discuss the wider applicability of the approach.