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Authors: Chiraz Ben Othmane Zribi ; Fériel Ben Fraj and Mohamed Ben Ahmed

Affiliation: RIADI Laboratory, ENSI, La ManoubaUniversity, Tunisia

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Intelligent Agents ; Internet Technology ; Web Information Systems and Technologies

Abstract: In this paper, we address the problem of detecting and correcting hidden spelling errors in Arabic texts. Hidden spelling errors are morphologically valid words and therefore they cannot be detected or corrected by conventional spell checking programs. In the work presented here, we investigate this kind of errors as they relate to the Arabic language. We start by proposing a classification of these errors in two main categories: syntactic and semantic, then we present our multi-agent system for hidden spelling errors detection and correction. The multi-agent architecture is justified by the need for collaboration, parallelism and competition, in addition to the need for information exchange between the different analysis phases. Finally, we describe the testing framework used to evaluate the system implemented.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Ben Othmane Zribi, C.; Ben Fraj, F. and Ben Ahmed, M. (2005). A Multi-Agent System for Detecting and Correcting “Hidden” Spelling Errors in Arabic Texts. In Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science (ICEIS 2005) - NLUCS; ISBN 972-8865-23-6X, SciTePress, pages 149-154. DOI: 10.5220/0002556601490154

@conference{nlucs05,
author={Chiraz {Ben Othmane Zribi}. and Fériel {Ben Fraj}. and Mohamed {Ben Ahmed}.},
title={A Multi-Agent System for Detecting and Correcting “Hidden” Spelling Errors in Arabic Texts},
booktitle={Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science (ICEIS 2005) - NLUCS},
year={2005},
pages={149-154},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002556601490154},
isbn={972-8865-23-6X},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science (ICEIS 2005) - NLUCS
TI - A Multi-Agent System for Detecting and Correcting “Hidden” Spelling Errors in Arabic Texts
SN - 972-8865-23-6X
AU - Ben Othmane Zribi, C.
AU - Ben Fraj, F.
AU - Ben Ahmed, M.
PY - 2005
SP - 149
EP - 154
DO - 10.5220/0002556601490154
PB - SciTePress