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It’s Basically the Same Language Anyway: the Case for a Nordic Language Model
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0001-5100-0535
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0003-2811-7481
RISE Research Institutes of Sweden, Digital Systems, Data Science.
KB, Sweden.
2021 (English)In: Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa), 2021, p. 367-372Conference paper, Published paper (Refereed)
Abstract [en]

When is it beneficial for a research community to organize a broader collaborative effort on a topic, and when should we instead promote individual efforts? In this opinion piece, we argue that we are at a stage in the development of large-scale language models where a collaborative effort is desirable, despite the fact that the preconditions for making individual contributions have never been better. We consider a number of arguments for collaboratively developing a large-scale Nordic language model, include environmental considerations, cost, data availability, language typology, cultural similarity, and transparency. Our primary goal is to raise awareness and foster a discussion about our potential impact and responsibility as NLP community.

Place, publisher, year, edition, pages
2021. p. 367-372
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:ri:diva-59817OAI: oai:DiVA.org:ri-59817DiVA, id: diva2:1684812
Conference
23rd Nordic Conference on Computational Linguistics (NoDaLiDa), May 31-2 June 2021, Rykjavik, Iceland
Available from: 2022-07-28 Created: 2022-07-28 Last updated: 2025-09-23

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fulltext(132 kB)53 downloads
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Type fulltextMimetype application/pdf

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Sahlgren, MagnusCarlsson, Fredrik

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf