Investigation of the component distributions of pause duration in spontaneous speech: Constraints for models of language production. We have discovered that the distribution of pause durations in spontaneous speech of individual speakers can be decomposed into at least two log-normal distributions. Our project will investigate this finding and provide a foundation for new research relevant to language production models. This will be achieved by determining the semantic, lexical, psycholinguistic ....Investigation of the component distributions of pause duration in spontaneous speech: Constraints for models of language production. We have discovered that the distribution of pause durations in spontaneous speech of individual speakers can be decomposed into at least two log-normal distributions. Our project will investigate this finding and provide a foundation for new research relevant to language production models. This will be achieved by determining the semantic, lexical, psycholinguistic, physiological, and acoustic concomitants of each component distribution and by investigating the impact of selected variables on the shape and location of each. The project has important implications for models of language production and applied problems involving automatic speech recognition, forensic speaker identification, and human communication disorders.Read moreRead less
Learning from others: Inductive reasoning based on human-generated data. Most of the data we see every day, from politics to gossip, comes from other people. Making inferences about such data is difficult because the people who provided it may have biases or limitations in their knowledge that we do not know about and must figure out. This project uses a series of experiments tied to normative computational models of social reasoning to explore how people solve this problem. This work has the po ....Learning from others: Inductive reasoning based on human-generated data. Most of the data we see every day, from politics to gossip, comes from other people. Making inferences about such data is difficult because the people who provided it may have biases or limitations in their knowledge that we do not know about and must figure out. This project uses a series of experiments tied to normative computational models of social reasoning to explore how people solve this problem. This work has the potential to make a major impact in understanding how information is understood and shared, especially when it is about topics that people lack firsthand knowledge about, like climate change. The computational models also have applications to the development of expert systems upon which our information economy relies.Read moreRead less
Using language to predict cognitive outcomes in old age. This project aims to understand the relationship between linguistic complexity metrics and cognitive decline in old age. The project will test the hypothesis that high linguistic complexity scores reflect the ability to strategically optimise processing in the face of age-related reductions in processing capacity. By studying the relation between complexity scores and real-time information processing (measured via electroencephalography) a ....Using language to predict cognitive outcomes in old age. This project aims to understand the relationship between linguistic complexity metrics and cognitive decline in old age. The project will test the hypothesis that high linguistic complexity scores reflect the ability to strategically optimise processing in the face of age-related reductions in processing capacity. By studying the relation between complexity scores and real-time information processing (measured via electroencephalography) across the adult lifespan (20–80 years), this project will develop a simple and accurate marker of the individual balance between processing capacity and strategy. This project has the potential to increase quality of life for the elderly and reduce costs of age-related cognitive impairment.Read moreRead less