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Introduction to Hidden Markov Models

Introduction to Hidden Markov Models

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• Transition probabilities and initial probabilities are calculated from language model. • Observations and observation probabilities are as before. a m h e r s t b v f o • Here we have to determine the best sequence of hidden states, the one that most likely produced word image. • This is an application of Decoding problem.

  Probabilities

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