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      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 1997 Working Papers
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      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 1997 Working Papers
      • View Item
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      Adaptive models of English text

      Teahan, W.J.; Cleary, John G.
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      Teahan, W.J. & Cleary, J.G. (1997). Adaptive models of English text. (Working paper 97/30). Hamilton, New Zealand: University of Waikato, Department of Computer Science.
      Permanent Research Commons link: https://hdl.handle.net/10289/1126
      Abstract
      High quality models of English text with performance approaching that of humans is important for many applications including spelling correction, speech recognition, OCR, and encryption. A number of different statistical models of English are compared with each other and with previous estimates from human subjects. It is concluded that the best current models are word based with part of speech tags. Given sufficient training text, they are able to attain performance comparable to humans.
      Date
      1997-11
      Type
      Working Paper
      Series
      Computer Science Working Papers
      Report No.
      97/30
      Publisher
      Department of Computer Science, The University of Waikato
      Collections
      • 1997 Working Papers [31]
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