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Authors: Samia Ben Ismail 1 ; Sirine Boukédi 2 and Kais Haddar 3

Affiliations: 1 ISITCom Hammam Sousse, Sousse University, Miracl laboratory and Tunisia ; 2 National Engineering School, Gabes University, Miracl laboratory and Tunisia ; 3 Faculty of Science of Sfax, Sfax University, Miracl laboratory and Tunisia

Keyword(s): Arabic Gerund Forms, Head-Driven Phrase Structure Grammar (HPSG), Linguistic Knowledge Building (LKB) System, Type Description Language (TDL).

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Natural Language Processing ; Pattern Recognition ; Symbolic Systems

Abstract: The treatment of morphological phenomena is important in Natural Language Processing (NLP), especially using a unification grammar. In Arabic grammar, the gerund is considered one of the most delicate morphological structures since it changes the grammatical category. Thus, we present in this paper, a Head-driven Phrase Structure Grammar (HPSG), treating Arabic gerund forms. The elaborated grammar is specified with Type Description Language (TDL) and validated on Linguistic Knowledge Building (LKB) system. The obtained results were encouraging, which proves the effectiveness of our system.

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Paper citation in several formats:
Ismail, S.; Boukédi, S. and Haddar, K. (2018). The Treatment of Gerund Forms for Arabic Nouns with LKB System. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KEOD; ISBN 978-989-758-330-8; ISSN 2184-3228, SciTePress, pages 215-222. DOI: 10.5220/0006932302150222

@conference{keod18,
author={Samia Ben Ismail. and Sirine Boukédi. and Kais Haddar.},
title={The Treatment of Gerund Forms for Arabic Nouns with LKB System},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KEOD},
year={2018},
pages={215-222},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006932302150222},
isbn={978-989-758-330-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KEOD
TI - The Treatment of Gerund Forms for Arabic Nouns with LKB System
SN - 978-989-758-330-8
IS - 2184-3228
AU - Ismail, S.
AU - Boukédi, S.
AU - Haddar, K.
PY - 2018
SP - 215
EP - 222
DO - 10.5220/0006932302150222
PB - SciTePress

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