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Vocabulary of natural language processing

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Preferred term

Markov model  

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Example

  • The dependency features utilized to determine the best pos-tag in Markov models are the categories of context words. (Tsai & Chen, 2004)
  • The final accuracy results of the context-rule model and the two Markov models coincided at approximately 98.5% and 99.4% with around 13% and 35% manual proofreading. (Tsai & Chen, 2004)
  • The result showed that the context-rule model outperformed both Markov models. (Tsai & Chen, 2004)

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URI

http://data.loterre.fr/ark:/67375/8LP-R3KJ0TQV-V

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