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Title: Identifying dialects with textual and acoustic cues
Authors: Hanani, Abualsoud 
Qaroush, Aziz 
Taylor, Stephen 
Keywords: Arabic language - Dialects - Systems of identification;Swiss-German dialects - Systems of identification
Issue Date: 2017
Abstract: We describe several systems for identifying short samples of Arabic or SwissGerman dialects, which were prepared for the shared task of the 2017 DSL Workshop (Zampieri et al., 2017). The Arabic data comprises both text and acoustic files, and our best run combined both. The SwissGerman data is text-only. Coincidently, our best runs achieved a accuracy of nearly 63% on both the Swiss-German and Arabic dialects tasks.
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