For this reason, the dialectal Arabic corpus actually was the one causing most problems for the processors in the EMNLP 2014 shared task on code-switched language identification.
code-switching is most prominent in spoken language conversations and has thus traditionally mainly been studied by psycho-and sociolinguists (Auer, 1999;Muysken, 2000;Gafaranga and Torras, 2002;Bullock et al., 2014) and by speech researchers (Lyu et al., 2015), while the lack of large-scale textual corpora has made code-switching less attractive as a subject of study in computational or corpora linguistics.