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Agent based arabic language understanding
Conference proceeding

Agent based arabic language understanding

Muhammad Taha, Tarek Helmy, Reda Abo Alez and IEEE Comp Soc
PROCEEDING OF THE 2007 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WORKSHOPS, pp.429-432
01/01/2007

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science, Software Engineering Engineering Engineering, Electrical & Electronic Science & Technology Technology
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.

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