Stop-word removal algorithm for Arabic language

Summary form only given. We have designed and implemented an efficient stop-word removal algorithm for Arabic language based on a finite state machine (FSM). An efficient stop-word removal technique is needed in many natural language processing application such as: spelling normalization, stemming and stem weighting, Question answering systems and in information retrieval systems (IR). Most of the existing stop-word removal techniques bases on a dictionary that contains a list of stop-word, it is very expensive, it takes too much time for searching process and required too much space to store these stop-words. The new Arabic removal stop-word technique has been tested using a set of 242 Arabic abstracts chosen from the Proceedings of the Saudi Arabian National Computer conferences, and another set of data chosen from the holy Q´uran, and it gives impressive results that reached approximately to 98%.