2026-05-09T23:39:24Zhttps://iris.cnr.it/oai/request

oai:iris.cnr.it:20.500.14243/5632302026-03-04T01:28:01Zcom_20.500.14243_22com_20.500.14243_21col_20.500.14243_23ou_ou239

ENHANCING ARABIC DIALECT ANALYSIS: INTRODUCING DIMORPH FOR DARIJA Khlif N. Mazroui A. Nahli O. Khlif, N. Mazroui, A. Nahli, O. DiMorph Moroccan dialect morphological analyzer While Modern Standard Arabic (MSA) is well-studied, dialectal Arabic texts, such as Moroccan dialect (Darija), pose unique challenges due to their informal structure and lack of a standardized grammar. In this paper, we provide an in-depth study of Darija detailing its morphological and syntactic features, and we introduce DiMorph (Dialectal Morphological Analyzer), a specialized morphological engine, which is designed to address these complexities automatically. In detail, we focus on DiMorph’s multi-phase approach, involving both pre- and post-processing phases. Such approach effectively manages dialectal variability and achieves high accuracy in token recognition and analysis, particularly in social media contexts. Finally, we underscore the importance of developing tools that respect the linguistic diversity of Arabic dialects, laying a strong foundation for advanced computational research in Arabic dialectology. © 2025 Societa Editrice Il Mulino. All rights reserved. 2025 info:eu-repo/semantics/article https://hdl.handle.net/20.500.14243/563230 10.1418/116951 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-105023642942 info:eu-repo/semantics/altIdentifier/wos/105023642942 eng volume:24 issue:2 firstpage:363 lastpage:390 numberofpages:28 journal:LINGUE E LINGUAGGIO info:eu-repo/semantics/embargoedAccess license:NON PUBBLICO - Accesso privato/ristretto license uri:iris.PRI01