The SMarT Classifier for Arabic Fine-Grained Dialect Identification
Karima Meftouh, Karima Abidi, Salima Harrat, Kamel Smaı̈li · 2019
This paper describes the approach adopted by the SMarT research group to build a dialect identification system in the framework of the Madar shared task on Arabic fine-grained dialect identification.We experimented several approaches, but we finally decided to use a Multinomial Naïve Bayes classifier based on word and character ngrams in addition to the language model probabilities.We achieved a score of 67.73% in terms of Macro accuracy and a macro-averaged F1-score of 67.31%.