Language resources

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All (182) Collections (28) Corpora (138) Lexicons (19) Training and evaluation data (10) Models (15)

Resurs	Typ	Språk	Åtkomst
Collection Kubord-fasttext A collection of fasttext models trained on modern newspaper texts from the National Library of Sweden	Model	Swedish	See 6 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 - 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 - 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
Pretrained embeddings A list of pretrained embeddings for Swedish	Model	Swedish
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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