Paper: A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs

ACL ID N09-1075
Title A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs
Venue Human Language Technologies
Session Main Conference
Year 2009
Authors

Human sentence processing involves integrat- ing probabilistic knowledge from a variety of sources in order to incrementally determine the hierarchical structure for the serial input stream. While a large number of sentence pro- cessing effects have been explained in terms of comprehenders’ rational use of probabilistic information, effects of local coherences have not. We present here a new model of local coherences, viewing them as resulting from a belief-update process, and show that the rele- vant probabilities in our model are calculable from a probabilistic Earley parser. Finally, we demonstrate empirically that an implemented version of the model makes the correct predic- tions for the materials from the original exper- iment demonstrating local coherence effects.