Title :
Agent Based Arabic Language Understanding
Author :
Taha, Muhammad ; Helmy, Tarek ; Alez, Reda Abo
Author_Institution :
Cairo Univ., Cairo
Abstract :
Arabic language understanding (ALU) computing is considered an Al-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.
Keywords :
hidden Markov models; multi-agent systems; natural languages; Arabic language understanding computing; hidden Markov model; text analysis; voice activated drawing interface; Computer science; Conferences; Educational institutions; Hidden Markov models; Intelligent agent; Intelligent sensors; Natural languages; Probability; Statistical analysis; Tagging;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology Workshops, 2007 IEEE/WIC/ACM International Conferences on
Conference_Location :
Silicon Valley, CA
Print_ISBN :
0-7695-3028-1
DOI :
10.1109/WI-IATW.2007.56
