DocumentCode
2732868
Title
Agent Based Arabic Language Understanding
Author
Taha, Muhammad ; Helmy, Tarek ; Alez, Reda Abo
Author_Institution
Cairo Univ., Cairo
fYear
2007
fDate
5-12 Nov. 2007
Firstpage
429
Lastpage
432
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/WI-IATW.2007.56
Filename
4427622
Link To Document