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Bigram Model
The Bigram Model approximates the probability of a word given all previous words by using only the condition probability of the preceding word .
The bigram probability of a word given a previous word is computed by dividing the count of the bigram by the count of all bigrams that share the same first word (which is equivalent to the unigram count for the word ):
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Data Science
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