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.
|Titel||Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects|
|Forlag||Association for Computational Linguistics|
|Publikationsdato||20 apr. 2021|
|Status||Udgivet - 20 apr. 2021|