International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 79 - Number 2 |
Year of Publication: 2013 |
Authors: Madeeh Nayer El-gedawy |
10.5120/13710-1465 |
Madeeh Nayer El-gedawy . Using Fuzzifiers to solve Word Sense Ambiguation in Arabic Language. International Journal of Computer Applications. 79, 2 ( October 2013), 1-8. DOI=10.5120/13710-1465
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 corpus-based Naïve Bayes classifier. The study concludes that the results that have been obtained from our fuzzy logic classifiers are more accurate and promising.