Word sense disambiguation using evolutionary algorithms  Application to Arabic language
Genetic and memetic algorithms are used to solve the word sense disambiguation problem. Applicability of these algorithms to Modern Standard Arabic is demonstrated by quantifying their potential benefits. Genetic algorithm outperforms memetic algorithm and nave Bayes classifier, attaining 79% precision and 63% recall.
word sense disambiguation evolutionary algorithms memetic algorithms modern standard arabic genetic algorithms natural language processing