Developing a shuffle grammar for parsing Arabic verbs

One of the most important members of natural languages is Arabic. This language spans 14 centuries and 22 countries and has a great traditional and historical background. More than two hundred million people speak in Arabic and this matter also persuades researchers to study in this filed. Due to the mentioned attractiveness, we also studied on a new mechanism of Arabic parsing which based on formal grammars and is underlined by shuffle morphology. This grammar is embedded in body of a morpho-syntactic tagger and works with accuracy of 98.5% on Arabic verbs.