In order to restore its status as a probability, Mitchell includes another normalization step: The model hence simply uses the trigram model probability for function words, making the assumption that the distributional representation of such words does not include useful information.
this means that the simpler trigram surprisal model does not contribute anything over the semantic model, and that the semantic model fits the word duration data better.