Discriminating Between Similar Nordic Languages

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Authors Renรฉ Haas, Leon Derczynski arXiv ID 2012.06431 Category cs.CL: Computation & Language Citations 14 Venue Workshop on NLP for Similar Languages, Varieties and Dialects Last Checked 4 months ago
Abstract
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 miscategorisation by existing state-of-the-art tools. Concretely we will focus on discrimination between six Nordic languages: Danish, Swedish, Norwegian (Nynorsk), Norwegian (Bokmรฅl), Faroese and Icelandic.
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