Abstract

Morphology studies the word structure considering its basic meaningful units. It has been always one of the most important components in nearly any application of Natural Language Processing (NLP). Through applying that concept on Arabic language, Arabic words were highly inflected and derived. In this paper an approach is going to be developed that will deliver almost all the words can be produced out of any submitted word. Beside that, this paper will answer the question 'whither or not inflected and derived words can be equally produced using the same methodology?'. Furthermore, many ideas of developing the algorithm presented here are discussed.

References

• K. Shaalan. Rule-based Approach in Arabic Natural Language Processing. International Journal on Information and Communication Technologies, Vol. 2, No. 3, June 2010.
• M. Gridach, N. Chenfour, Developing a New System for Arabic Morphological Analysis and Generation, Mathematics and Computer Science, Department Faculty of Science Dhar, El Mehraz Fez.
• M. G. khayat, A. Al-othman and S. Al-safran, An Arabic Morphological Analyzer/Synthesizer, Department of Electrical & Computer Engineering, KAAU, Jeddah and KFUPM, Dhahran, Saudi Arabia, JKAU: Eng. Sci. , vol. 13 no. 1, pp. 71-93,1421 A. H. / 2001 A. D.
• Tengku Mohd T. Sembok, Belal Mustafa Abu Ata and Zainab Abu Bakar, A Rule and Template Based Stemming Algorithm for Arabic Language, International Journal Of Mathematical Models And Methods In Applied Sciences, Issue 5, Volume 5, 2011.
• Khaled Shaalan and others, Arabic Word Generation and Modeling for Spell Checking, Institute of Formal and Applied Linguistics and others, Charles University in Prague, Czech Republic, School of Computing, Dublin City University, Ireland.
• Karin C. Ryding, A Reference Grammar of Modern Standard Arabic, Cambridge University Press, August 2005.
• Ritchey, T. General morphological analysis. 16th EURO Conference on Operational Analysis. 1998.
• Nizar Habash, Abdelhadi Soudi and Tim Buckwalter, On Arabic Transliteration, In Arabic Computational Morphology: Knowledge-based and Empirical Methods. Soudi, Abdelhadi; van den Bosch, Antal; Neumann, Gu?nter (Eds. ), 2007.
• Maha Althobaiti, Udo Kruschwitz, Massimo Poesio , AraNLP: A Java-based Library for the Processing of Arabic Text, School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK.
• Farghaly, K. Shaalan. Arabic Natural Language Processing: Challenges and Solutions, ACM Transactions on Asian Language Information Processing (TALIP), the Association for Computing Machinery (ACM). TALIP Vol 8, Issue 4, December 2009.
• Boudlal, A. Lakhouaja, A. Mazroui, A. Meziane M. Ould Abdallahi Ould Bebah and M. Shoul. , 2011: Alkhalil Morpho Sys 1: A Morphosyntactic analysis system for Arabic text, University Mohamed I, Oujda, Morocco.
• Kroeger, P. , Analyzing Grammar: An Introduction, Cambridge University Press, 2005.
• Moulana Ebrahim Muhammad, From the Treasures of Arabic, Academy for Islamic Research, Safar 1427 A. H. March 2006.
• arabicCorpus, http://arabicorpus. byu. edu/search. php