A Computational Feature-Based Morphological Analysis and Generation of Modern Standard Arabic
Mourad Gridach, Noureddine Chenfour
International Journal of Computational Linguistics Research, Vol. 2, No. 1, 2011.
DOI: 
Link: http://www.dline.info/jcl/fulltext/v2n1/3.pdf
Abstract:
Arabic is a strongly structured and highly derivational and inflectional language. Arabic morphology and syntax provide the ability to add a large number of affixes to each word which makes combinatorial increment of possible words. Arabic morphological analysis has gained the focus of Arabic natural language processing research for a long time in order to achieve the automated understanding of Arabic. In this paper, we present a new approach for Arabic morphological analysis and generation based on morphological automata and using our lexicon. Examples of morphological analysis results from the proposed approach will be given and will illustrate how the system works. Our system will be very useful for NLP applications such as syntactic and semantic analysis, spell-checking, machine translation and information retrieval.