Categorisation, communication and the local environment. Languages around the world incorporate different systems of categories, and understanding this variation can contribute to a better understanding of similarities and differences between cultures. This project examines how linguistic variation is shaped in part by variation in the local physical and social environment. The methods include computational analyses of large electronic data sets including dictionaries and linguistic corpora tha ....Categorisation, communication and the local environment. Languages around the world incorporate different systems of categories, and understanding this variation can contribute to a better understanding of similarities and differences between cultures. This project examines how linguistic variation is shaped in part by variation in the local physical and social environment. The methods include computational analyses of large electronic data sets including dictionaries and linguistic corpora that have become available only recently, and psychological experiments that probe the causal mechanisms that lead to variation across languages. The outcomes include computational tools that pick out key differences between languages and therefore support cross-cultural communication.Read moreRead less
Tracking towards a complete model of skilled reading comprehension. This project aims to promote the development of the first complete computational model of reading comprehension. Many computational models of sub-components of reading have been developed, but none fully explain the complex co-ordination of perceptual, attentional and cognitive processes required for successful comprehension. The project intends to use eye tracking studies to test and refine Über-Reader, a new computational mode ....Tracking towards a complete model of skilled reading comprehension. This project aims to promote the development of the first complete computational model of reading comprehension. Many computational models of sub-components of reading have been developed, but none fully explain the complex co-ordination of perceptual, attentional and cognitive processes required for successful comprehension. The project intends to use eye tracking studies to test and refine Über-Reader, a new computational model that aims to provide a complete account of the memory systems and cognitive processes involved in reading comprehension and how they differ with reading skill. The outcomes will advance understanding of the causes of success and failure in reading and contribute to diagnosing and remediating reading difficulties.Read moreRead less
Learning how people read: Models, brains, big data and maths. Aims: This project aims to understand how people read. We will use novel mathematical methods, experimentation, brain imaging and computational modelling to adjudicate between model predictions.
Significance: This project expects to develop methods to understand and test important aspects of reading.
Expected outcomes: Expected outcomes are the development of novel methods for understanding complex models and the collection of data t ....Learning how people read: Models, brains, big data and maths. Aims: This project aims to understand how people read. We will use novel mathematical methods, experimentation, brain imaging and computational modelling to adjudicate between model predictions.
Significance: This project expects to develop methods to understand and test important aspects of reading.
Expected outcomes: Expected outcomes are the development of novel methods for understanding complex models and the collection of data that can extend and falsify current models of reading.
Benefits: These developments will significantly increase our understanding of how people read and what causes dyslexia. This work will also provide new ways to evaluate complex computational psychological models.Read moreRead less
A Generic Framework for Verifying Machine Learning Algorithms. This project aims to discover new ways to verify whether decisions made by Artificial Intelligence and Machine Learning algorithms are as per the specifications set by their designers and/or regulatory bodies. The project also provides new methods to align algorithm decisions when they are found to be non-abiding. The outcomes will include new machine learning theories and frameworks for algorithmic assurance. The significance of the ....A Generic Framework for Verifying Machine Learning Algorithms. This project aims to discover new ways to verify whether decisions made by Artificial Intelligence and Machine Learning algorithms are as per the specifications set by their designers and/or regulatory bodies. The project also provides new methods to align algorithm decisions when they are found to be non-abiding. The outcomes will include new machine learning theories and frameworks for algorithmic assurance. The significance of the project is that it will offer a crucial platform for certifying algorithms and thus benefit society and businesses in deciding the right Artificial Intelligence algorithms. Read moreRead less
Tracking the Flow of Perceptual Information Through Decision Networks. The choices we make define our lives. Despite exciting progress in neuroscience, we still don’t know how the inner workings of the brain give rise to simple decisions. This project brings together experts from diverse domains of computational neuroscience to investigate how our brains turn perceptual information into action. Together, we will develop new methods to track information flow through the brain during the decision ....Tracking the Flow of Perceptual Information Through Decision Networks. The choices we make define our lives. Despite exciting progress in neuroscience, we still don’t know how the inner workings of the brain give rise to simple decisions. This project brings together experts from diverse domains of computational neuroscience to investigate how our brains turn perceptual information into action. Together, we will develop new methods to track information flow through the brain during the decision making process. By doing so, we will develop a world-leading model of how the brain makes decisions, and also provide the broader scientific community with a set of exciting new tools for studying information processing in the brain.Read moreRead less
RNA structure prediction by deep learning and evolution-derived restraints. This project addresses the long-standing structure-folding problem of Ribonucleic acids (RNA) whose solution is essential for elucidating the roles of noncoding RNAs in living organisms. The proposed approach will detect hidden homologous sequences and enhance evolutionary covariation signals by developing new algorithms for search and smarter neural networks for deep learning. The project expects to generate new tools ....RNA structure prediction by deep learning and evolution-derived restraints. This project addresses the long-standing structure-folding problem of Ribonucleic acids (RNA) whose solution is essential for elucidating the roles of noncoding RNAs in living organisms. The proposed approach will detect hidden homologous sequences and enhance evolutionary covariation signals by developing new algorithms for search and smarter neural networks for deep learning. The project expects to generate new tools for structure-based probing of RNA evolutional and functional mechanisms. The outcomes should provide significant benefits by high-accuracy computational modelling of RNA structures that are difficult and costly to solve by current structural biology techniques but important for enabling biotech and clinical applications.Read moreRead less
Beyond Segments: Towards a lexical model for tonal bilinguals. Most people in the world today speak more than one language. Thus, they need to decide, unconsciously, which language to use at any given time. This project aims to understand how healthy adult bilinguals resolve competition from their unintended language to communicate successfully in the intended language. In both bilingual language comprehension and production, the project will characterise the role of an under-explored linguistic ....Beyond Segments: Towards a lexical model for tonal bilinguals. Most people in the world today speak more than one language. Thus, they need to decide, unconsciously, which language to use at any given time. This project aims to understand how healthy adult bilinguals resolve competition from their unintended language to communicate successfully in the intended language. In both bilingual language comprehension and production, the project will characterise the role of an under-explored linguistic dimension, lexical tone, in cross-language processing. Expected outcomes include enhanced understanding of bilingual communication and theories of bilingual language use, and practical implications for optimal language learning for bilinguals and intervention for clinical populations who speaks two languages. Read moreRead less
Developmental trajectory of tongue control for speech with real-time MRI. This project aims to evaluate the developmental trajectory of tongue control during speech, relating dynamic 3D vocal tract modelling to the acoustic signal. By optimising real-time MRI technology to capture and model articulatory movements, the project expects to accelerate understanding of how tongue control for speech is developed, mastered, and perturbed by factors such as rapid growth and foreign accent. Expected outc ....Developmental trajectory of tongue control for speech with real-time MRI. This project aims to evaluate the developmental trajectory of tongue control during speech, relating dynamic 3D vocal tract modelling to the acoustic signal. By optimising real-time MRI technology to capture and model articulatory movements, the project expects to accelerate understanding of how tongue control for speech is developed, mastered, and perturbed by factors such as rapid growth and foreign accent. Expected outcome is a new understanding of how different speakers' vocal tracts change and how speech is reshaped, informed by real physiological data. Significant benefits will be realised through refined methods and theory development for diverse fields e.g. linguistics, speech science, and automatic speech recognition/synthesis. Read moreRead less
Lexical access in Australian languages. This project aims to investigate how listeners use cues from the way speech sounds are produced to break the speech stream into individual, recognisable words. The project investigates Australian languages which show unusual patterns in the production of speech sounds to generate new knowledge about speech perception and production. Outcomes will include advances in theories of speech processing, informing the development of speech processing systems, and ....Lexical access in Australian languages. This project aims to investigate how listeners use cues from the way speech sounds are produced to break the speech stream into individual, recognisable words. The project investigates Australian languages which show unusual patterns in the production of speech sounds to generate new knowledge about speech perception and production. Outcomes will include advances in theories of speech processing, informing the development of speech processing systems, and contributions to Indigenous cultural maintenance.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150100318
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Solving the puzzle of complex speech sounds. Speech sounds that fall into the 'l' and 'r' family of consonants ('liquids') are amongst the most difficult to master, both for children learning their first language and for learners of a second. This is because liquids are highly complex and require finely tuned, and language specific, coordination of articulatory gestures. The details of this complexity remain poorly understood, posing significant challenges for remediation of speech errors and fo ....Solving the puzzle of complex speech sounds. Speech sounds that fall into the 'l' and 'r' family of consonants ('liquids') are amongst the most difficult to master, both for children learning their first language and for learners of a second. This is because liquids are highly complex and require finely tuned, and language specific, coordination of articulatory gestures. The details of this complexity remain poorly understood, posing significant challenges for remediation of speech errors and for effective pedagogy in language learning. This project aims to use state-of-the-art articulatory methods to examine liquids in four typologically distinct languages of increasing importance in modern Australian society to lay essential foundations for future work on remediation and instruction.Read moreRead less