Frank at NADI 2023 Shared Task: Trio-Based Ensemble Approach for Arabic Dialect Identification

Dilshod Azizov, Jiyong Li, Shangsong Liang

Abstract: We present our system designed for Subtask 1 in the shared task NADI on Arabic Dialect Identification, which is part of ArabicNLP 2023. In our approach, we utilized models such as: MARBERT, MARBERTv2 (A) and MARBERTv2 (B). Subsequently, we created a majority voting ensemble of these models. We used MARBERTv2 with different hyperparameters, which significantly improved the overall performance of the ensemble model. In terms of performance, our systems achieved a competitive an F1 score of 84.76. Overall, our system secured the 5th position out of 16 participating teams.