Using Fuzzifiers to solve Word Sense Ambiguation in Arabic Language
Madeeh NayerEl-Gedawy · International Journal of Computer Applications · 2013
Text mining techniques confront many challenges when dealing with the Arabic language including lexical disambiguation because Arabic is a highly inflectional and derivational language, most of the Arabic texts are devoid of diacritics especially Modern Standard Arabic (MSA), thus, it is a must to depend on the ambiguous word context under study.Two fuzzy logic classifiers have been built and compared to a supervised corpusbased Naïve Bayes classifier.The study concludes that the results that have been obtained from our fuzzy logic classifiers are more accurate and promising.