Developing a New System for Arabic Morphological Analysis and Generation

Arabic morphology poses special challenges to computational natural language processing systems. Its rich morphology and the highly complex word formation process of roots and patterns make computational approaches to Arabic very challenging. In this paper we present an approach for morphological analysis and generation of Modern Standard Arabic (MSA). Our approach is based on Arabic morphological automaton technology. We take the special representation of Arabic morphology (root and scheme) to construct a set of morphological automaton which will be used directly in developing a system for Arabic morphological analysis and generation. Our approach for Arabic morphological analysis and generation can be used in different Arabic NLP applications such as Machine Translation (MT) and Information Retrieval (IR).