ISL-AAST at NADI 2023 shared task: Enhancing Arabic Dialect Identification in the Era of Globalization and Technological Progress
Shorouk Adel, Noureldin Elmadany · 2023
Arabic dialects have extensive global usage owing to their significance and the vast number of Arabic speakers.However, technological progress and globalization are leading to significant transformations within Arabic dialects.They are acquiring new characteristics involving novel vocabulary and integrating linguistic elements from diverse dialects.Consequently, sentiment analysis of these dialects is becoming more challenging.This study categorizes dialects among 18 countries, as introduced by the Nuanced Arabic Dialect Identification (NADI) shared task competition.The study approach incorporates the utilization of the MARBERT and MARBERT v2 models with a fine tunning processes.The findings reveal that the most effective model is achieved by applying averaging and concatenation to the hidden layers of MARBERT v2, followed by feeding the resulting output into convolutional layers.Furthermore, employing the ensemble method on various methods enhances the model's performance.Our system secures the 6th position among the top performers in the First subtask, achieving an F1 score of 83.73%.