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4 CHAPTER 3•N-GRAM LANGUAGE MODELS When we use a bigram model to predict the conditional probability of the next word, we are thus making the following approximation: P(w njw 1:n 1)ˇP(w njw n 1) (3.7) The assumption that the probability of a word depends only on the previous word is
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