An efficient multi-agent system combining POS-Taggers for arabic texts

Authors:
Chiraz Ben Othmane Zribi;Aroua Torjmen;Mohamed Ben Ahmed
Affiliations:
RIADI laboratory, National School of Computer Sciences, University of La Manouba, Tunisia;RIADI laboratory, National School of Computer Sciences, University of La Manouba, Tunisia;RIADI laboratory, National School of Computer Sciences, University of La Manouba, Tunisia
Venue:
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Year:
2006

Citing 4
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Abstract

In this paper, we address the problem of Part-Of-Speech tagging of Arabic texts with vowel marks. After the description of the specificities of Arabic language and the induced difficulties on the task of POS-tagging, we propose an approach combining several methods. One of these methods, based on sentences patterns, is original and very attractive. We present, afterward, the multi-agent architecture that we adopted for the conception and the realization of our POS-tagging system. The multi-agent architecture is justified by the need for collaboration, parallelism and competition between the different agents. Finally, we expose the implementation and the evaluation of the system implemented.