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    <abstract>Norwegian Twitter data poses an interesting challenge for Natural Language Processing (NLP) tasks. These texts are difficult for models trained on standardized text in one of the two Norwegian written forms (Bokmål and Nynorsk), as they contain both the typical variation of social media text, as well as a large amount of dialectal variety. In this paper we present a novel Norwegian Twitter dataset annotated with POS-tags. We show that models trained on Universal Dependency (UD) data perform worse when evaluated against this dataset, and that models trained on Bokmål generally perform better than those trained on Nynorsk. We also see that performance on dialectal tweets is comparable to the written standards for some models. Finally we perform a detailed analysis of the errors that models commonly make on this data.</abstract>
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%0 Conference Proceedings
%T Annotating Norwegian language varieties on Twitter for Part-of-speech
%A Mæhlum, Petter
%A Kåsen, Andre
%A Touileb, Samia
%A Barnes, Jeremy
%Y Scherrer, Yves
%Y Jauhiainen, Tommi
%Y Ljubešić, Nikola
%Y Nakov, Preslav
%Y Tiedemann, Jörg
%Y Zampieri, Marcos
%S Proceedings of the Ninth Workshop on NLP for Similar Languages, Varieties and Dialects
%D 2022
%8 October
%I Association for Computational Linguistics
%C Gyeongju, Republic of Korea
%F maehlum-etal-2022-annotating
%X Norwegian Twitter data poses an interesting challenge for Natural Language Processing (NLP) tasks. These texts are difficult for models trained on standardized text in one of the two Norwegian written forms (Bokmål and Nynorsk), as they contain both the typical variation of social media text, as well as a large amount of dialectal variety. In this paper we present a novel Norwegian Twitter dataset annotated with POS-tags. We show that models trained on Universal Dependency (UD) data perform worse when evaluated against this dataset, and that models trained on Bokmål generally perform better than those trained on Nynorsk. We also see that performance on dialectal tweets is comparable to the written standards for some models. Finally we perform a detailed analysis of the errors that models commonly make on this data.
%U https://aclanthology.org/2022.vardial-1.7
%P 64-69

Markdown (Informal)

[Annotating Norwegian language varieties on Twitter for Part-of-speech](https://aclanthology.org/2022.vardial-1.7) (Mæhlum et al., VarDial 2022)

• Annotating Norwegian language varieties on Twitter for Part-of-speech (Mæhlum et al., VarDial 2022)

ACL

• Petter Mæhlum, Andre Kåsen, Samia Touileb, and Jeremy Barnes. 2022. Annotating Norwegian language varieties on Twitter for Part-of-speech. In Proceedings of the Ninth Workshop on NLP for Similar Languages, Varieties and Dialects, pages 64–69, Gyeongju, Republic of Korea. Association for Computational Linguistics.