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    • NCHLT Sesotho fastText-CBoW embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Static word and subword embeddings for the continuous bag of words (CBoW) flavour of the fastText architecture (Bojanowski et al., 2017). The embedding ...
    • NCHLT Sesotho fastText-Skipgram embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Static word and subword embeddings for the Skipgram flavour of the fastText architecture (Bojanowski et al., 2017). The embedding provides real-valued ...
    • NCHLT Sesotho FLAIR-backward embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Contextual word/string embeddings for the backward flavour of the FLAIR architecture (Akbik et al., 2018). The embedding provides real-valued vector ...
    • NCHLT Sesotho FLAIR-forward embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Contextual word/string embeddings for the forward flavour of the FLAIR architecture (Akbik et al., 2018). The embedding provides real-valued vector ...
    • NCHLT Sesotho GloVe embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Static word embedding model based on the Global Vectors architecture (Pennington et al., 2014). The embeddings provide real-valued vector representations ...
    • NCHLT Sesotho RoBERTa language model 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Contextual 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 ...
    • NCHLT Sesotho word2vec-CBOW embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Static word embeddings for the continuous bag of words (CBoW) flavour of the word2vec (w2v) architecture (Mikolov et al., 2013). The embedding provides ...
    • NCHLT Sesotho word2vec-Skipgram embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Static word embeddings for the Skipgram flavour of the word2vec (w2v) architecture (Mikolov et al., 2013). The embedding provides real-valued vector ...
    • NCHLT Setswana fastText-CBoW embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Static word and subword embeddings for the continuous bag of words (CBoW) flavour of the fastText architecture (Bojanowski et al., 2017). The embedding ...
    • NCHLT Setswana fastText-Skipgram embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Static word and subword embeddings for the Skipgram flavour of the fastText architecture (Bojanowski et al., 2017). The embedding provides real-valued ...
    • NCHLT Setswana FLAIR-backward embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Contextual word/string embeddings for the backward flavour of the FLAIR architecture (Akbik et al., 2018). The embedding provides real-valued vector ...
    • NCHLT Setswana FLAIR-forward embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Contextual word/string embeddings for the forward flavour of the FLAIR architecture (Akbik et al., 2018). The embedding provides real-valued vector ...
    • NCHLT Setswana GloVe embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Static word embedding model based on the Global Vectors architecture (Pennington et al., 2014). The embeddings provide real-valued vector representations ...
    • NCHLT Setswana RoBERTa language model 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Contextual 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 ...
    • NCHLT Setswana word2vec-CBOW embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Static word embeddings for the continuous bag of words (CBoW) flavour of the word2vec (w2v) architecture (Mikolov et al., 2013). The embedding provides ...
    • NCHLT Setswana word2vec-Skipgram embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Static word embeddings for the Skipgram flavour of the word2vec (w2v) architecture (Mikolov et al., 2013). The embedding provides real-valued vector ...
    • NCHLT Siswati fastText-CBoW embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Static word and subword embeddings for the continuous bag of words (CBoW) flavour of the fastText architecture (Bojanowski et al., 2017). The embedding ...
    • NCHLT Siswati fastText-Skipgram embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Static word and subword embeddings for the Skipgram flavour of the fastText architecture (Bojanowski et al., 2017). The embedding provides real-valued ...
    • NCHLT Siswati FLAIR-backward embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Contextual word/string embeddings for the backward flavour of the FLAIR architecture (Akbik et al., 2018). The embedding provides real-valued vector ...
    • NCHLT Siswati FLAIR-forward embeddings 

      Roald Eiselen (North-West University; Centre for Text Technology (CTexT), 2023-05-01)
      Contextual word/string embeddings for the forward flavour of the FLAIR architecture (Akbik et al., 2018). The embedding provides real-valued vector ...