A Triliteral Word Roots Extraction Using Neural Network For Arabic
Hasan Al-Serhan, Aladdin Ayesh · 2006
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