Search results with tag "Chapter n gram language models"

CHAPTER N-gram Language Models - Stanford University

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

  Language, Model, Chapter, Gram, N gram language models, Chapter n gram language models