Now showing items 1-4 of 4

    • Factors that affect the accuracy of text-based language identification 

      Botha, Gerrit R.; Barnard, Etienne (Computer Speech and Language, 2012)
      We investigate the factors that determine the performance of text-based language identification, with a particular focus on the 11 official languages of South Africa, using n-gram statistics as features for classification. ...
    • Factors that affect the accuracy of text–based language identification 

      Gerrit Reinier Botha; Etienne Barnard (Elsevier, 2012)
      The classification accuracy of text-based language identification depends on several factors, including the size of the text fragment to be identified, the amount of training data available, the classification features and ...
    • Language identification of individual words with joint sequence models 

      Giwa, Oluwapelumi; Davel, Marelie H. (Interspeech 2014, 2014)
      Within a multilingual automatic speech recognition (ASR) system, knowledge of the language of origin of unknown words can improve pronunciation modelling accuracy. This is of particular importance for ASR systems required ...
    • Text-based Language Identification of Multilingual Names 

      Giwa, Oluwapelumi; Davel, Marelie H. (IEEE, 2015)
      Text-based language identification (T-LID) of isolated words has been shown to be useful for various speech processing tasks, including pronunciation modelling and data categorisation. When the words to be categorised ...