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German Dialect Identification in Interview Transcriptions
2017
Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)
This paper presents three systems submitted to the German Dialect Identification (GDI) task at the VarDial Evaluation Campaign 2017. The task consists of training models to identify the dialect of Swiss-German speech transcripts. The dialects included in the GDI dataset are Basel, Bern, Lucerne, and Zurich. The three systems we submitted are based on: a plurality ensemble, a mean probability ensemble, and a meta-classifier trained on character and word n-grams. The best results were obtained by
doi:10.18653/v1/w17-1220
dblp:conf/vardial/MalmasiZ17
fatcat:mz33sdefcbdljozqdsv2k2fw7a