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 (Bokmål), Faroese and Icelandic.
| Original language | English |
|---|---|
| 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 |
| Pages | 67–75 |
| Publication status | Published - 20 Apr 2021 |
Keywords
- Automatic language identification
- Nordic languages
- Machine learning
- Language discrimination
- Natal differentiation