SADiLaR Language Resource Repository
Not a member yet
536 research outputs found
Sort by
NCHLT isiXhosa word2vec-CBOW embeddings
No full textStatic word embeddings for the continuous bag of words (CBoW) flavour of the word2vec (w2v) architecture (Mikolov et al., 2013). The embedding provides real-valued vector representations for isiXhosa text
NCHLT Afrikaans FLAIR-backward embeddings
No full textContextual word/string embeddings for the backward flavour of the FLAIR architecture (Akbik et al., 2018). The embedding provides real-valued vector representations for Afrikaans text
NCHLT Sepedi word2vec-CBOW embeddings
No full textStatic word embeddings for the continuous bag of words (CBoW) flavour of the word2vec (w2v) architecture (Mikolov et al., 2013). The embedding provides real-valued vector representations for Sepedi text
NCHLT Afrikaans fastText-CBoW embeddings
No full textStatic word and subword embeddings for the continuous bag of words (CBoW) flavour of the fastText architecture (Bojanowski et al., 2017).
The embedding provides real-valued vector representations for Afrikaans text
NCHLT isiXhosa FLAIR-forward embeddings
No full textContextual word/string embeddings for the forward flavour of the FLAIR architecture (Akbik et al., 2018). The embedding provides real-valued vector representations for isiXhosa text
NCHLT Tshivenḓa GloVe embeddings
No full textStatic word embedding model based on the Global Vectors architecture (Pennington et al., 2014). The embeddings provide real-valued vector representations for Tshivenḓa text
NCHLT Tshivenḓa FLAIR-backward embeddings
No full textContextual word/string embeddings for the backward flavour of the FLAIR architecture (Akbik et al., 2018). The embedding provides real-valued vector representations for Tshivenḓa text
NCHLT Xitsonga RoBERTa language model
No full textContextual masked language model based on the RoBERTa architecture (Liu et al., 2019). The model is trained as a masked language model and not fine-tuned for any downstream process. The model can be used both as a masked LM or as an embedding model to provide real-valued vectorised respresentations of words or string sequences for Xitsonga text
NCHLT Setswana fastText-CBoW embeddings
No full textStatic word and subword embeddings for the continuous bag of words (CBoW) flavour of the fastText architecture (Bojanowski et al., 2017). The embedding provides real-valued vector representations for Setswana text
NCHLT Afrikaans RoBERTa language model
No full textContextual masked language model based on the RoBERTa architecture (Liu et al., 2019). The model is trained as a masked language model and not fine-tuned for any downstream process. The model can be used both as a masked LM or as an embedding model to provide real-valued vectorised respresentations of words or string sequences for Afrikaans text