Discriminating Between Similar Nordic Languages
Computation and Language
2023-03-24 v2
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 (Bokm{\aa}l), Faroese and Icelandic.
Cite
@article{arxiv.2012.06431,
title = {Discriminating Between Similar Nordic Languages},
author = {René Haas and Leon Derczynski},
journal= {arXiv preprint arXiv:2012.06431},
year = {2023}
}
Comments
Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects