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DaNLP: An open-source toolkit for Danish Natural Language Processing

  • Amalie Brogaard Pauli
    ,
  • Maria Jung Barrett
    ,
  • Ophélie Lacroix
    ,
  • Rasmus Hvingelby
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Abstract

We present an open-source toolkit for Danish natural language processing (NLP), enabling easy access to Danish NLP’s latest advancements. The toolkit features wrapper functions for loading models and datasets in a unified way using third-party NLP frameworks. The toolkit is developed to enhance community building, understanding the need from industry and knowledge sharing. As an example of this, we present Angry Tweets: An Annotation Game to increase Danish NLP awareness and create a new sentiment-annotated dataset.

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 460-466

Publication milestones

  • Published - 2021

Publication status

Published - 2021

Publisher

Linköping University Press

Host publication title

Proceedings of the 23rd Nordic Conference on Computational Linguistics

Related Event

Title

Nordic Conference on Computational Linguistics

Event type

Conference

Degree of recognition

International event

Date

31/05/2021 - 02/06/2021

Location

RejkjavikIceland