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        <identifier>oai:researchdata.se:doi-10-23695-k91c-k507/0</identifier>
        <datestamp>2025-06-18</datestamp>
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        <setSpec>principal:slug:university-of-gothenburg</setSpec>
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          <dc:identifier>https://doi.org/10.23695/K91C-K507</dc:identifier>
          <dc:title xml:lang="en">Kubord-fasttext - Göteborgsposten 2013–2024 - lemma</dc:title>
          <dc:title xml:lang="sv">Kubord-fasttext - Göteborgsposten 2013–2024 - lemma</dc:title>
          <dc:creator>https://ror.org/05qhvy459</dc:creator>
          <dc:subject xml:lang="en">Natural Language Processing</dc:subject>
          <dc:subject xml:lang="sv">Språkbehandling och datorlingvistik</dc:subject>
          <dc:description xml:lang="en">Kubord-fasttext is a collection of fasttext models, developed within a collaboration between
KBLab and Språkbanken, 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.</dc:description>
          <dc:description xml:lang="sv">Kubord-fasttext är en samling fasttext-modeller, framtagna inom ett samarbete mellan 
KB-labb och Språkbanken, som tränats på
samma underliggande data som Kubord 2. Modellerna är
tränade på token- och lemmanivå. Verktyget som använts vid träning är
Gensim, med följande parameterinställningar:
min_n 4, max_n 7, 20 epoker, dim 300 och lr .05.</dc:description>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
          <dc:publisher xml:lang="en">University of Gothenburg</dc:publisher>
          <dc:publisher xml:lang="sv">Göteborgs universitet</dc:publisher>
          <dc:date>2025-06-18T00:00:00Z</dc:date>
          <dc:language>swe</dc:language>
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