While Tabor and Hutchins (2004) work out these questions in detail for the types of sentences they model, it is unclear how the model could be scaled up to make predictions for arbitrary types of sentences.
using probabilistic models trained on large-scale corpora, effects such as global and incremental disambiguation preferences have been shown to be a result of the rational use of syntactic probabilities (Jurafsky, 1996;Hale, 2001;Narayanan and Jurafsky, 2001;Levy, 2008b;Levy et al., 2009).