@inbook {27742,
	title = {Arabic Morphological Generation from Interlingua: A Rule-based Approach},
	booktitle = {Intelligent Information Processing III},
	series = {IFIP International Federation for Information Processing},
	volume = {228},
	year = {2007},
	note = {<p>n/a</p>
},
	pages = {441-451},
	publisher = {Springer US},
	organization = {Springer US},
	abstract = {<p>Arabic is a Semitic language that is rich in its morphology. Arabic has very numerous and complex morphological rules. 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. With the recent technological advances, Arabic natural language generation has received attentions in order to allow for a room for wider applications such as machine translation. For machine translation systems that support a large number of languages, interlingua-based machine translation approaches are particularly attractive. In this paper, we report our attempt at developing a rule-based Arabic morphological generator for task-oriented interlingua-based spoken dialogues. Examples of morphological generation results from the Arabic morphological generator will be given and will illustrate how the system works. Nevertheless, we will discuss the issues related to the morphological generation of Arabic words from an interlingua representation, and present how we have handled them.</p>
},
	keywords = {Arabic morphological generation, interlingua-based machine translation},
	isbn = {978-0-387-44639-4},
	doi = {10.1007/978-0-387-44641-7_46},
	url = {http://dx.doi.org/10.1007/978-0-387-44641-7_46},
	attachments = {https://scholar.cu.edu.eg/sites/default/files/shaalan/files/morph_gen_mt.pdf},
	author = {Khaled Shaalan and Azza Abdel-Monem and Rafea, Ahmed},
	editor = {Shi, Zhongzhi and Shimohara,, K. and Feng,, D.}
}
