2026-06-13T00:30:05Zhttps://iris.cnr.it/oai/request

oai:iris.cnr.it:20.500.14243/5660422026-05-26T14:06:32Zcom_20.500.14243_46com_20.500.14243_21col_20.500.14243_47ou_ou239

A Robust Morphological Analysis System for the Moroccan Dialect Khlif, Nadia Mazroui, Azzedine Nahli, Ouafae Azrour, Mourade Guezzaz, Azidine Jabbour, Said Khlif, Nadia Mazroui, Azzedine Nahli, Ouafae Morphological engine, DiMorph, Moroccan dialect, Multiword expressions, Darija, Text processing. This work presents DiMorph, a morphological engine for Moroccan Arabic (Darija), integrating custom pre- and post-processing techniques to address orthographic inconsistency and lack of standardization. A key feature of DiMorph is its multiword expression (MWE) recognition module, which enhances analysis by detecting and processing MWEs based on a predefined lexicon, leading to more accurate gloss generation. Tested on a Facebook corpus of 11,085 tokens, DiMorph achieved 97.84% in-vocabulary (INV) coverage, with an out-of-vocabulary (OOV) rate of 2.16%, mostly consisting of foreign terms, proper names and emerging words. In all, 40.48% of tokens had a single interpretation, while 59.52% exhibited ambiguity, largely due to homography (89.71%), polysemy (9.31%) and morphological syncretism (0.98%). By providing robust morphological analysis and MWE handling, DiMorph significantly enhances Darija text processing. Its linguistic resources will be released as open-source, fostering further advancements in Arabic dialect natural language processing (NLP). 2026 info:eu-repo/semantics/conferenceObject https://hdl.handle.net/20.500.14243/566042 10.1201/9781003671602 info:eu-repo/semantics/altIdentifier/isbn/9781003671602 https://doi.org/10.1201/9781003671602 eng ispartofbook:Smart Technologies for a Sustainable Environment CRC Press – Taylor & Francis Group country:USA place:Boca Raton