Papers › Discriminating Between Similar Nordic Languages
Discriminating Between Similar Nordic Languages
René Haas, Leon Derczynski
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 (Bokm{\aa}l), Faroese and Icelandic.
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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Language Identification | Nordic Language Identification | FastText | Accuracy | 0.9711 | #1 of 1 | Archive leaderboard | report |
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