Conference Proceeding

A Triliteral Word Roots Extraction Using Neural Network For Arabic

Sch. of Comput., De Montfort Univ., Leicester
12/2006; DOI:10.1109/ICCES.2006.320487 pp.436 - 440 In proceeding of: Computer Engineering and Systems, The 2006 International Conference on
Source: IEEE Xplore

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

0 0
 · 
0 Bookmarks
 · 
15 Views
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.

Keywords

algorithms use
 
approach attempts
 
backpropagation neural network
 
large
 
large storage space
 
lookup table
 
novel neural network
 
roots
 
rules
 
uses neural network