Browsing Faculty of Engineering by Subject "Word2Vec"

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    • Classifying recognised speech with deep neural networks 

      Strydom, Rhyno A; Barnard, Etienne (Southern African Conference for Artificial Intelligence Research, 2020)
      We investigate whether word embeddings using deep neural networks can assist in the analysis of text produced by a speechrecognition system. In particular, we develop algorithms to identify which words are incorrectly ...

    • Optimising word embeddings for recognised multilingual speech 

      Barnard, Etienne; Heyns, Nuette (Southern African Conference for Artificial Intelligence Research, 2020)
      Word embeddings are widely used in natural language processing (NLP) tasks. Most work on word embeddings focuses on monolingual languages with large available datasets. For embeddings to be useful in a multilingual ...