2026-06-14T01:25:22Zhttps://iris.cnr.it/oai/request

oai:iris.cnr.it:20.500.14243/5630282026-03-04T01:27:48Zcom_20.500.14243_46com_20.500.14243_21col_20.500.14243_47ou_ou239

A Proposed Approach for Extracting Semantic and Lexical Relations for Low-Resource Languages: A Case Study of Darija Belbachir S. Khlif Nadia Chahhou M. El Mohajir M. Mazroui A. Nahli O. Belbachir, S. Khlif, Nadia Chahhou, M. El Mohajir, M. Mazroui, A. Nahli, O. Darija NLP NLTK Ontology semantic relation sumo Wordnet Extracting semantic relations between words is crucial for the development and enrichment of lexical resources, especially for under-resourced languages like Moroccan Darija. This paper presents an automated methodology for identifying synonyms, antonyms, hypernyms, and hyponyms by leveraging bilingual Darija-English resources, Princeton WordNet (PWN), the Suggested Upper Merged Ontology (SUMO), and the NLTK toolkit. Experimental evaluation was conducted on a dataset of 361 Darija nouns, selected as a preliminary testbed to validate the methodology before scaling it to the full lexicon. The results show that 83.10% were successfully aligned with PWN synsets, resulting in the extraction of 14,201 semantic relations, of which 5,475 (38.55%) were validated through back-translation. These findings confirm the potential of transferring semantic knowledge from English into Darija, despite cultural and lexical mismatches. The proposed pipeline substantially enriches Darija's lexical coverage and offers a scalable and replicable approach for developing semantic resources in other low-resource dialects. © 2025 IEEE. 2025 info:eu-repo/semantics/conferenceObject https://hdl.handle.net/20.500.14243/563028 10.1109/CiSt65886.2025.11224229 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-105024977209 info:eu-repo/semantics/altIdentifier/wos/105024977209 eng ispartofbook:8th IEEE Congress on Information Science and Technology (CiSt) firstpage:153 lastpage:160 numberofpages:8 journal:A Proposed Approach for Extracting Semantic and Lexical Relations for Low-Resource Languages: A Case Study of Darija info:eu-repo/semantics/restrictedAccess license:NON PUBBLICO - Accesso privato/ristretto license uri:iris.PRI01