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German Dialect Identification Using Classifier Ensembles

2018-07-22 · COLING 2018 8 · Alina Maria Ciobanu, Shervin Malmasi, Liviu P. Dinu

In this paper we present the GDI_classification entry to the second German Dialect Identification (GDI) shared task organized within the scope of the VarDial Evaluation Campaign 2018. We present a system based on SVM classifier ensembles trained on characters and words. The system was trained on a collection of speech transcripts of five Swiss-German dialects provided by the organizers. The transcripts included in the dataset contained speakers from Basel, Bern, Lucerne, and Zurich. Our entry in the challenge reached 62.03% F1-score and was ranked third out of eight teams.

📄 PDF Abstract BibTeX arXiv:1807.08230

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Dialect Identification

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SVM A Support Vector Machine, or SVM, is a non-parametric supervised learning model. For non-linear classification and regression, they utilise the kernel trick to map inputs…

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