SADiLaR Language Resource Repository
Not a member yet
    536 research outputs found

    NCHLT Siswati GloVe embeddings

    No full text
    Static word embedding model based on the Global Vectors architecture (Pennington et al., 2014). The embeddings provide real-valued vector representations for Siswati text

    NCHLT Setswana word2vec-CBOW embeddings

    No full text
    Static 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 Setswana text

    NCHLT Tshivenḓa fastText-Skipgram embeddings

    No full text
    Static word and subword embeddings for the Skipgram flavour of the fastText architecture (Bojanowski et al., 2017). The embedding provides real-valued vector representations for Tshivenḓa text

    NCHLT Sepedi fastText-CBoW embeddings

    No full text
    Static 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 Sepedi text

    NCHLT Siswati RoBERTa language model

    No full text
    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 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 Siswati text

    Autshumato Monolingual Tshivenḓa Corpus

    No full text
    Monolingual corpus for Tshivenḓa. The data is given as a single UTF-8 text file, with each segment on a newline

    NCHLT isiNdebele fastText-Skipgram embeddings

    No full text
    Static word and subword embeddings for the Skipgram flavour of the fastText architecture (Bojanowski et al., 2017). The embedding provides real-valued vector representations for isiNdebele text

    NCHLT isiZulu GloVe embeddings

    No full text
    Static word embedding model based on the Global Vectors architecture (Pennington et al., 2014). The embeddings provide real-valued vector representations for isiZulu text

    NCHLT isiNdebele word2vec-Skipgram embeddings

    No full text
    Static word embeddings for the Skipgram flavour of the word2vec (w2v) architecture (Mikolov et al., 2013). The embedding provides real-valued vector representations for isiNdebele text

    Child speech database for the South African context: Speech samples of typically developing Afrikaans and Sesotho sa Leboa-speaking children

    No full text
    This dataset contains child speech samples from typically developing Afrikaans and Sesotho sa Leboa-speaking children in South Africa. The recordings, totaling at least 700 minutes per language, were collected in naturalistic interactions between children and trained speech-language therapists using standardized toys and books. Data were gathered in home and clinical settings to support linguistic analysis, speech transcription, and the development of automated tools for early identification and intervention in multilingual contexts. For more details, review the readme.txt for Afrikaans and Sesotho sa Lebo

    8

    full texts

    536

    metadata records
    Updated in last 30 days.
    SADiLaR Language Resource Repository
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇