An empirical method using features combination for Arabic native language identification
Seifeddine Mechti, Ayoub Abbassi, Lamia Hadrich Belguith, Rim Faïz · 2016
In this paper, we focus on the detection of the Arabic learners' mother tongue. The proposed method is based on the automatic classification using some data statistically extracted from a source corpus. We present a hybrid method that combines surface analysis in texts with an automatic learning method. Unlike the few techniques found in the state of the art, the features selection phase allowed improving performances. Therefore, the obtained results outperformed those provided by the best methods used for Arabic native language detection.