NDLI: A Triliteral Word Roots Extraction Using Neural Network For Arabic

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A Triliteral Word Roots Extraction Using Neural Network For Arabic

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A Triliteral Word Roots Extraction Using Neural Network For Arabic

Content Provider	IEEE Xplore Digital Library
Author	Al-Serhan, H. Ayesh, A.
Copyright Year	2006
Description	Author affiliation: Sch. of Comput., De Montfort Univ., Leicester (Al-Serhan, H.; Ayesh, A.)
Abstract	Many of existing Arabic stemming algorithms use a large set of rules. In many cases, they refer to a lookup table of patterns and roots. This requires a large storage space, and time to access the information. A novel neural network based approach for stemming Arabic words is proposed in this paper. This approach attempts to exploit numerical relations between characters by using backpropagation neural network (BPNN). No such system in literature can be found that uses neural network to extract the stemming of Arabic words
Starting Page	436
Ending Page	440
File Size	4628022
Page Count	5
File Format	PDF
ISBN	1424402719
DOI	10.1109/ICCES.2006.320487
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-05
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Backpropagation Arabic Language Natural languages Natural Language Processing Neural Networks Table lookup Data mining Radiofrequency interference Neural networks Computer networks Natural language processing Joining processes Computational intelligence Stemming
Content Type	Text
Resource Type	Article

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