@conference {citeulike:7899276,
	title = {Morphological Analysis of Ill-Formed Arabic Verbs in Intelligent Language Tutoring Framework},
	booktitle = {The 23rd International Florida Artificial Intelligence Research Society Conference (FLAIRS-23)},
	year = {2010},
	note = {<p>n/a</p>
},
	month = {may},
	pages = {277{\textendash}282},
	publisher = {FLAIRS},
	organization = {FLAIRS},
	address = {Florida, USA},
	abstract = {<p>Arabic is a language of rich and complex morphology. The nature and peculiarity of Arabic make its morphological and phonological rules confusing for second language learners (SLLs). The conjugation of Arabic verbs is central to the formulation of an Arabic sentence because of its richness of form and meaning. In this paper, we address issues related to the morphological analysis of ill-formed Arabic verbs in order to identify the source of errors and provide an in-formative feedback to SLLs of Arabic. The edit distance and constraint relaxation techniques are used to demonstrate the capability of the proposed approach in generating all possible analyses of erroneous Arabic verbs written by SLLs. Filtering mechanisms are applied to exclude the irrelevant constructions and determine the target stem. A morphological analyzer has been developed and effectively evaluated using real test data. It achieved satisfactory results in terms of the recall rate.</p>
},
	keywords = {analysis, arabic, icall, intelligent\_tutoring\_systems, morphology, natural\_language\_processing},
	url = {http://www.aaai.org/ocs/index.php/FLAIRS/2010/paper/view/1230},
	attachments = {https://scholar.cu.edu.eg/sites/default/files/shaalan/files/flairs-23-1755.pdf},
	author = {Khaled F. Shaalan and Marwa Magdy and Aly Fahmy},
	editor = {Guesgen, Hans W. and Murray, R. Charles and Guesgen, Hans W. and Murray, R. Charles}
}
