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
A more sound approach to the neurobiology of language. How does the brain attain spoken language? Current neurobiological models assume either implicitly or explicitly that there is no relationship between a word's sound and its meaning. Yet considerable evidence shows this strong assumption about the arbitrariness of language is invalid. This project will use a combination of behavioural, neuroimaging and computational studies to characterise how the brain processes statistical regularities in ....A more sound approach to the neurobiology of language. How does the brain attain spoken language? Current neurobiological models assume either implicitly or explicitly that there is no relationship between a word's sound and its meaning. Yet considerable evidence shows this strong assumption about the arbitrariness of language is invalid. This project will use a combination of behavioural, neuroimaging and computational studies to characterise how the brain processes statistical regularities in sound-to-meaning correspondences as probabilistic cues to attain spoken language. The outcome will be a better neural account of language comprehension and production. The benefit of this new account will be a stronger basis for assessment and treatment of developmental and acquired language impairments.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120102378
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
What shapes the structure of language? An experimental and computational investigation. How do people learn language so easily, and how is the structure of language shaped by our learning biases? This project attempts to answer these questions through an innovative combination of experimental and computational tools, with implications for technological development as well as educational interventions for both children and adults.