Abstract:This paper proposes a model that classifies the Arabic dialect of 26 different dialects from a given text. We used the dataset provided by MADAR Shared Task on Arabic Fine-Grained Dialect Identification, sub-task 1. 19 teams participated in this task, and the highest accuracy achieved by the winning team was 67.33%. Our model’s accuracy outperforms that by 0.785%. The proposed model consists of 3 classifiers and then ensembles the predictions from the classifiers to predict the result. We used both n-grams fea… Show more
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.