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 (Bokmål), Faroese and Icelandic.
|Title of host publication
|Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects
|Association for Computational Linguistics
|20 Apr 2021
|Published - 20 Apr 2021