Discriminating Between Similar Nordic Languages
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Abstract (arXiv)
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 (Bokmaal), Faroese and Icelandic.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Dec 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 4; 2024: 2; 2025: 1; 2026: 1.
10 papers.
- 2023GlotLID: Language Identification for Low-Resource Languagescited by 37
- 2024The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embeddingcited by 26
- 2023Transfer to a Low-Resource Language via Close Relatives: The Case Study on Faroesecited by 15
- 2022Geographic Adaptation of Pretrained Language Modelscited by 14
- 2023PALI: A Language Identification Benchmark for Perso-Arabic Scriptscited by 7
- 2023LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languagescited by 6
- 2021A reproduction of Apple's bi-directional LSTM models for language identification in short stringscited by 4
- 2026OpenLID-v3: Improving the Precision of Closely Related Language Identification -- An Experience Reportcited by 4
- 2024From N-grams to Pre-trained Multilingual Models For Language Identificationcited by 2
- 2025Multi-label Scandinavian Language Identification (SLIDE)cited by 2
- 2026OpenLID-v3: Improving the Precision of Closely Related Language Identification -- An Experience Report13 Feb 2026
- 2025Multi-label Scandinavian Language Identification (SLIDE)10 Feb 2025
- 2024From N-grams to Pre-trained Multilingual Models For Language Identification11 Oct 2024
- 2024The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding4 Jun 2024
- 2023GlotLID: Language Identification for Low-Resource Languages24 Oct 2023
- 2023LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages23 May 2023
- 2023Transfer to a Low-Resource Language via Close Relatives: The Case Study on Faroese18 Apr 2023
- 2023PALI: A Language Identification Benchmark for Perso-Arabic Scripts3 Apr 2023
- 2022Geographic Adaptation of Pretrained Language Models16 Mar 2022
- 2021A reproduction of Apple's bi-directional LSTM models for language identification in short strings11 Feb 2021