SADiLaR Language Resource Repository
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536 research outputs found
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NCHLT Sepedi 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 Sepedi text
NCHLT Afrikaans word2vec-Skipgram embeddings
No full textStatic word embeddings for the Skipgram flavour of the word2vec (w2v) architecture (Mikolov et al., 2013). The embedding provides real-valued vector representations for Afrikaans text
NCHLT Setswana fastText-Skipgram embeddings
No full textStatic word and subword embeddings for the Skipgram flavour of the fastText architecture (Bojanowski et al., 2017). The embedding provides real-valued vector representations for Setswana text
NCHLT isiNdebele 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 isiNdebele text
NCHLT Siswati 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 Siswati text
CSIR SAMA Speech Corpus Manual Datasets
No full textThe evaluation corpus contains orthographically transcribed broadband speech in Afrikaans, isiXhosa, isiZulu, Sepedi, Sesotho, Tshivenḓa all part of South Africa’s eleven official written languages. The audio was harvested as MP3 podcasts and automatically segmented and transcribed. Segment transcriptions are provided in XML format.
Afrikaans
• News-20:04:15-Bulletins:377
• Drama-12:35:47-Episodes: 351
Sepedi
• Drama-10:25:16-Episodes: 321
Sesotho
• News-14:49:11-Bulletins:326
• Drama-10:01:17-Episodes: 200
isiXhosa
• News-14:57:20-Bulletins: 325
• Drama-09:41:42-Episodes: 190
isiZulu
• News-15:55:14-Bulletins:349
• Drama-07:58:10-Episodes: 124
Tshivenḓa
• Drama-12:32:29-Episodes: 27
NCHLT Afrikaans fastText-Skipgram embeddings
No full textStatic word and subword embeddings for the Skipgram flavour of the fastText architecture (Bojanowski et al., 2017). The embedding provides real-valued vector representations for Afrikaans text
NCHLT isiZulu 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 isiZulu text
NCHLT Sesotho 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 Sesotho text
NCHLT Xitsonga 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 Xitsonga text