Discriminating Between Similar Nordic Languages
Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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|
|Publisher||Association for Computational Linguistics|
|Publication date||20 Apr 2021|
|Publication status||Published - 20 Apr 2021|