Basics of HMMs
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چکیده
You should be able to take this and fill in the right-hand sides. 1 The problem X = sequence of random variables (Xi). There are N states: S = S1 . . . SN . N=2 in these diagrams. The random variables taken on the states as their values. O = {oi}i=1,T Output sequence (letters, e.g.). T Number of symbols output—so we care about T+1 states. Π Initial probability distribution over the states. A Transition probabilities from state to state. B Emission probabilities: bxioi . oi is selected from our alphabet A. For our project, the alphabet is letters, but you could build an HMM where the “alphabet” was words, i.e., the lexicon (vocabulary) of the language.
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