The command line will display the input sentence probabilities for the 3 model, i.e. The ngram_range parameter defines which n-grams are we interested in â 2 means bigram and 3 means trigram. ##Calcuting bigram probabilities: P( w i | w i-1) = count ( w i-1, w i) / count ( w i-1) In english.. Probability that word i-1 is followed by word i = [Num times we saw word i-1 followed by word i] / [Num times we saw word i-1] Example. Markov assumption: the probability of a word depends only on the probability of a limited history ` Generalization: the probability of a word depends only on the probability of the n previous words trigrams, 4-grams, â¦ the higher n is, the more data needed to train. ... type the file name along with the python extension, followed by the input string. Bigram model without smoothing Bigram model with Add one smoothing Bigram model with â¦ I want to find frequency of bigrams which occur more than 10 times together and have the highest PMI. 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