We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…

This study investigates the influence of causal and concessive relations on discourse coherence in Chinese by means of eye movement and self-paced reading techniques. We use the sentential structure like "NP[subscript HUMAN] moved from place A to place B, {because ([Chinese characters omitted] yinwei) /although ([Chinese characters omitted]…

Previous research has shown that information referring to a named character or to information in the main clause of a sentence is more accessible and facilitates the processing of anaphoric references. We investigated whether the use of such cues are maintained in healthy aging. We present two experiments investigating whether information…

We examined processing of verbal irony in three groups of children: (1) 18 children with high-functioning Autism Spectrum Disorder (HFASD), (2) 18 typically-developing children, matched to the first group for verbal ability, and (3) 18 typically-developing children matched to the first group for chronological age. We utilized an irony…