Language resources

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All (1367) Collections (31) Corpora (1223) Lexicons (69) Training and evaluation data (27) Models (48)

Resurs	Typ	Språk	Åtkomst
Dependency parsing model: Stanza Pretrained models for dependency parsing.	Model	Swedish	Dataset: synt_stanza_eval.zip 2020-12-09 – 99.05 MB – CC BY 4.0 Dataset: synt_stanza_full2.zip 2020-12-09 – 99.17 MB – CC BY 4.0 Dataset: stanza_pretrain.zip 2025-02-20 – 91.7 MB – CC BY 4.0
Collection Kubord-fasttext A collection of fasttext models trained on modern newspaper texts from the National Library of Sweden	Model	Swedish	See 12 collected resources
Kubord-fasttext - Aftonbladet 2010–2022 - lemma Fasttext model trained on Aftonbladet 2010–2022	Model	Swedish	Dataset: kubord-fasttext-afb-2010-2022-lemma.zip 2024-08-05 – 2.94 GB – CC BY 4.0
Kubord-fasttext - Aftonbladet 2010–2022 - token Fasttext model trained on Aftonbladet 2010–2022	Model	Swedish	Dataset: kubord-fasttext-afb-2010-2022-token.zip 2024-06-11 – 3.18 GB – CC BY 4.0
Kubord-fasttext - Aftonbladet 2010–2024 - lemma Fasttext model trained on Aftonbladet 2010–2024	Model	Swedish	Dataset: kubord-fasttext-afb-2010-2024-lemma.zip 2025-06-18 – 3 GB – CC BY 4.0
Kubord-fasttext - Aftonbladet 2010–2024 - token Fasttext model trained on Aftonbladet 2010–2024	Model	Swedish	Dataset: kubord-fasttext-afb-2010-2024-token.zip 2025-06-18 – 3.17 GB – CC BY 4.0
Kubord-fasttext - Dagens Nyheter 2010–2022 - lemma Fasttext model trained on Dagens Nyheter 2010–2022	Model	Swedish	Dataset: kubord-fasttext-dn-2010-2022-lemma.zip 2024-08-05 – 2.81 GB – CC BY 4.0
Kubord-fasttext - Dagens Nyheter 2010–2022 - token Fasttext model trained on Dagens Nyheter 2010–2022	Model	Swedish	Dataset: kubord-fasttext-dn-2010-2022-token.zip 2024-06-11 – 3.1 GB – CC BY 4.0
Kubord-fasttext - Dagens Nyheter 2010–2024 - lemma Fasttext model trained on Dagens Nyheter 2010–2024	Model	Swedish	Dataset: kubord-fasttext-dn-2010-2024-lemma.zip 2025-06-18 – 2.9 GB – CC BY 4.0
Kubord-fasttext - Dagens Nyheter 2010–2024 - token Fasttext model trained on Dagens Nyheter 2010–2024	Model	Swedish	Dataset: kubord-fasttext-dn-2010-2024-token.zip 2025-06-18 – 3.1 GB – CC BY 4.0
Kubord-fasttext - Göteborgsposten 2013–2022 - lemma Fasttext model trained on Göteborgsposten 2013–2022	Model	Swedish	Dataset: kubord-fasttext-gp-2013-2022-lemma.zip 2024-08-05 – 2.69 GB – CC BY 4.0
Kubord-fasttext - Göteborgsposten 2013–2022 - token Fasttext model trained on Göteborgsposten 2013–2022	Model	Swedish	Dataset: kubord-fasttext-gp-2013-2022-token.zip 2024-06-11 – 2.84 GB – CC BY 4.0
Kubord-fasttext - Göteborgsposten 2013–2024 - lemma Fasttext model trained on Göteborgsposten 2013–2024	Model	Swedish	Dataset: kubord-fasttext-gp-2013-2024-lemma.zip 2025-06-18 – 2.74 GB – CC BY 4.0
Kubord-fasttext - Göteborgsposten 2013–2024 - token Fasttext model trained on Göteborgsposten 2013–2024	Model	Swedish	Dataset: kubord-fasttext-gp-2013-2024-token.zip 2025-06-18 – 2.89 GB – CC BY 4.0
Lemmatization model: Stanza Pretrained model for lemmatization.	Model	Swedish	Dataset: lem_stanza.zip 2020-11-19 – 3.74 MB – CC BY 4.0
POS-tagging model: Flair Pretrained models for POS-tagging.	Model	Swedish	Dataset: flair_eval.zip 2020-06-18 – 1.37 GB – CC BY 4.0 Dataset: flair_full.zip 2020-06-18 – 1.37 GB – CC BY 4.0
POS-tagging model: Marmot Pretrained models for POS-tagging.	Model	Swedish	Dataset: marmot_eval.marmot 2020-06-29 – 108.59 MB – CC BY 4.0 Dataset: marmot_full.marmot 2020-06-29 – 113.41 MB – CC BY 4.0 Dataset: saldo_marmot.txt 2020-06-29 – 46.33 MB – CC BY 4.0
POS-tagging model: Stanza Pretrained models for POS-tagging.	Model	Swedish	Dataset: morph_stanza_eval.zip 2020-12-09 – 19.94 MB – CC BY 4.0 Dataset: morph_stanza_full2.zip 2020-12-09 – 20.19 MB – CC BY 4.0 Dataset: stanza_pretrain.zip 2025-02-20 – 91.7 MB – CC BY 4.0
Pretrained embeddings A list of pretrained embeddings for Swedish	Model	Swedish
sbx/KB-bert-base-swedish-cased_PI-detection-basic En modell baserad på KB/bert-base-swedish-cased tränad med syfte att upptäcka personliga uppgifter, särskilt i studentuppsatser.	Model	Swedish	Dataset: KB-bert-base-swedish-cased_PI-detection-basic 109.41 KB – GPL-3.0
sbx/KB-bert-base-swedish-cased_PI-detection-basic-iob En modell baserad på KB/bert-base-swedish-cased tränad med syfte att upptäcka personliga uppgifter, särskilt i studentuppsatser.	Model	Swedish	Dataset: KB-bert-base-swedish-cased_PI-detection-basic-iob 109.62 KB – GPL-3.0
sbx/KB-bert-base-swedish-cased_PI-detection-detailed En modell baserad på KB/bert-base-swedish-cased tränad med syfte att upptäcka personliga uppgifter, särskilt i studentuppsatser.	Model	Swedish	Dataset: KB-bert-base-swedish-cased_PI-detection-detailed 109.91 KB – GPL-3.0
sbx/KB-bert-base-swedish-cased_PI-detection-detailed-iob En modell baserad på KB/bert-base-swedish-cased tränad med syfte att upptäcka personliga uppgifter, särskilt i studentuppsatser.	Model	Swedish	Dataset: KB-bert-base-swedish-cased_PI-detection-detailed-iob 110.07 KB – GPL-3.0
sbx/KB-bert-base-swedish-cased_PI-detection-general En modell baserad på KB/bert-base-swedish-cased tränad med syfte att upptäcka personliga uppgifter, särskilt i studentuppsatser.	Model	Swedish	Dataset: KB-bert-base-swedish-cased_PI-detection-general 109.58 KB – GPL-3.0
sbx/KB-bert-base-swedish-cased_PI-detection-general-iob En modell baserad på KB/bert-base-swedish-cased tränad med syfte att upptäcka personliga uppgifter, särskilt i studentuppsatser.	Model	Swedish	Dataset: KB-bert-base-swedish-cased_PI-detection-general-iob 109.83 KB – GPL-3.0
Swedish Diachronic Word Embeddings Swedish Diachronic Word Embedding Models Trained on Historical Newspaper Data	Model	Swedish	Dataset: HENGCHEN-TAHMASEBI_-_2020_-_Kubhist2_diachronic_embeddings.zip 2024-01-25 – 15.13 GB – CC BY 4.0
Word Embeddings trained on English Wikipedia Word Embeddings trained on English Wikipedia	Model	English	Dataset: wiki_300_5_word2vec.model 2024-01-25 – 112.01 MB – CC BY 4.0 Dataset: wiki_300_5_word2vec.model.syn1neg.npy 2024-01-25 – 3.75 GB – CC BY 4.0 Dataset: wiki_300_5_word2vec.model.wv.vectors.npy 2024-01-25 – 3.75 GB – CC BY 4.0 Dataset: wiki_300_50_word2vec.model 2024-01-25 – 28.04 MB – CC BY 4.0 Dataset: wiki_300_50_word2vec.model.syn1neg.npy 2024-01-25 – 949.26 MB – CC BY 4.0 Dataset: wiki_300_50_word2vec.model.wv.vectors.npy 2024-01-25 – 949.26 MB – CC BY 4.0

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