arXiv Open Access 2018

German Dialect Identification Using Classifier Ensembles

Alina Maria Ciobanu Shervin Malmasi Liviu P. Dinu

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Abstrak

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.

Topik & Kata Kunci

cs.CL

Penulis (3)

Alina Maria Ciobanu

Shervin Malmasi

Liviu P. Dinu

Format Sitasi

APA MLA BibTeX

Ciobanu, A.M., Malmasi, S., Dinu, L.P. (2018). German Dialect Identification Using Classifier Ensembles. https://arxiv.org/abs/1807.08230

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Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓