Agent Based Arabic Language Understanding

Authors:
Muhammad Taha;Tarek Helmy;Reda Abo Alez
Affiliations:
-;-;-
Venue:
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Year:
2007

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Abstract

Arabic Language understanding (ALU) computing is considered an AI-hard task. In this paper, we propose an Agent model for ALU problem. This agent is detailed in this paper. An ALU system is developed for 'Voice Activated Drawing Interface'. Our experiment shows that agent-based ALU can be very robust and reliable in comparison to text analysis by using rules of Arabic language, parts of speech and structure of sentence.