title: Insensitivity of the human sentence-processing system to hierarchical structure.
abstract: Although it is generally accepted that hierarchical phrase structures are instrumental in describing human language, their role in cognitive processing is still debated. We investigated the role of hierarchical structure in sentence processing by implementing a range of probabilistic language models, some of which depended on hierarchical structure, and others of which relied on sequential structure only. All models estimated the occurrence probabilities of syntactic categories in sentences for which reading-time data were available. Relating the models' probability estimates to the data showed that the hierarchical-structure models did not account for variance in reading times over and above the amount of variance accounted for by all of the sequential-structure models. This suggests that a sentence's hierarchical structure, unlike many other sources of information, does not noticeably affect the generation of expectations about upcoming words.
authors.affiliation: Institute for Logic, Language and Computation, University of Amsterdam. s.frank@ucl.ac.uk
authors.forename: Stefan L
authors.initials: SL
authors.lastname: Frank
authors.forename: Rens
authors.initials: R
authors.lastname: Bod
mesh_terms: D006801:Humans; D007802:Language; D008037:Linguistics; D008390:Markov Chains; D008960:Models, Psychological; D016571:Neural Networks, Computer; D011336:Probability; D011578:Psycholinguistics; D011932:Reading