@inproceedings{haas-derczynski-2021-discriminating,
title = "Discriminating Between Similar {N}ordic Languages",
author = "Haas, Ren{\'e} and
Derczynski, Leon",
editor = {Zampieri, Marcos and
Nakov, Preslav and
Ljube{\v{s}}i{\'c}, Nikola and
Tiedemann, J{\"o}rg and
Scherrer, Yves and
Jauhiainen, Tommi},
booktitle = "Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects",
month = apr,
year = "2021",
address = "Kiyv, Ukraine",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.vardial-1.8/",
pages = "67--75",
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{\r{a}}l), Faroese and Icelandic."
}
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<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.</abstract>
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%0 Conference Proceedings
%T Discriminating Between Similar Nordic Languages
%A Haas, René
%A Derczynski, Leon
%Y Zampieri, Marcos
%Y Nakov, Preslav
%Y Ljubešić, Nikola
%Y Tiedemann, Jörg
%Y Scherrer, Yves
%Y Jauhiainen, Tommi
%S Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects
%D 2021
%8 April
%I Association for Computational Linguistics
%C Kiyv, Ukraine
%F haas-derczynski-2021-discriminating
%X 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.
%U https://aclanthology.org/2021.vardial-1.8/
%P 67-75
Markdown (Informal)
[Discriminating Between Similar Nordic Languages](https://aclanthology.org/2021.vardial-1.8/) (Haas & Derczynski, VarDial 2021)
ACL
- René Haas and Leon Derczynski. 2021. Discriminating Between Similar Nordic Languages. In Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects, pages 67–75, Kiyv, Ukraine. Association for Computational Linguistics.