Discriminating Between Similar Nordic Languages

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Abstrakt

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.
OriginalsprogEngelsk
TitelProceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects
ForlagAssociation for Computational Linguistics
Publikationsdato20 apr. 2021
Sider67–75
StatusUdgivet - 20 apr. 2021

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