Kubord-fasttext - Göteborgsposten 2013–2024 - token
type: Dataset
description: Kubord-fasttext is a collection of fasttext models, developed within a collaboration between KBLab and Språkbanken Text, that have been trained on the same underlying data as Kubord 2. The models have been trained on the token and the lemma level. The tool that has been used for the training is Gensim, with the following parameter settings: min_n 4, max_n 7, 20 epoker, dim 300, and lr .05.
creative work status: completed
  type: DefinedTerm
  in defined term set: http://publications.europa.eu/resource/authority/dataset-status
  term code: COMPLETED
creator: Språkbanken Text
date modified: 2025-06-18
date published: 2025-06-18
language: Swedish
is part of: https://doi.org/10.23695/sp99-9h02
keywords: Natural Language Processing
  type: DefinedTerm
  term code: 10208
keywords: Language Technology (Computational Linguistics)
keywords: model
license: https://creativecommons.org/licenses/by/4.0/
publisher: University of Gothenburg
version: 0

PropertyValue
property ID: DOI
value: 10.23695/QZDQ-ZN17

PropertyValue
property ID: slug
value: kubord-fasttext-gp-2013-2024-token

Språkbanken Text
type: Organization

Swedish
type: Language
alternate name: swe

University of Gothenburg
type: Organization