The Who in Code-Switching: A Case Study for Predicting Egyptian Arabic–English Code-Switching Levels Based on Character Profiles

Code-switching (CS) is a common linguistic phenomenon exhibited by multilingual individuals, where they tend to alternate between languages within one single conversation. CS complex that not only encompasses challenges, but also contains great deal of complexity in terms its dynamic behavior across speakers. Given the factors giving rise vary from country another, as well person found be speaker-dependent behavior, frequency which foreign language embedded differs While several researchers have looked into predicting point view, research still lacking task user sociological and psychological perspectives. We provide an empirical study, we investigate correlations users’ levels character traits. conduct interviews with bilinguals gather information on their profiles, including demographics, personality traits, traveling experiences. then use machine learning (ML) predict based identify main influential modeling process. experiment both classification regression tasks. Our results show affected relation speakers, travel experiences, Neuroticism Extraversion