Nordic Language Identification

Introduced by Haas et al. in Discriminating Between Similar Nordic Languages

Automatic language identification is a challenging problem. Discriminating between closely related languages is especially difficult. This paper presents a machine-learning approach for automatic language identification for the Nordic languages, which often suffer miscategorization by existing state-of-the-art tools. Concretely we will focus on discrimination between six Nordic languages: Danish, Swedish, Norwegian (Nynorsk), Norwegian (Bokmål), Faroese, and Icelandic. This is the data for the tasks. Two variants are provided: 10K and 50K, withholding 10,000 and 50,000 examples for each language respectively.

This dataset is in six similar Nordic languages: 1. Danish, da 2. Faroese, fo 3. Icelandic, is 4. Norwegian Bokmål, nb 5. Norwegian Nynorsk, nn 6. Swedish, sv


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