EPSRC logo

Details of Grant 

EPSRC Reference: GR/N38770/01
Title: IS LANGUAGE A MINIMUM-COMPLEXITY TEMPORAL SEQUENCE LEARNING SYSTEM?
Principal Investigator: Taylor, Professor J
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Mathematics
Organisation: Kings College London
Scheme: Standard Research (Pre-FEC)
Starts: 01 September 2000 Ends: 31 August 2003 Value (£): 168,058
EPSRC Research Topic Classifications:
Cognitive Science Appl. in ICT
EPSRC Industrial Sector Classifications:
Information Technologies No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
The main aim is to explore the neural powers of chunking and Temporal Sequence Storage and Generation achieved by the frontal lobes in their cartoon version, the ACTION network, in the development of Natural Language Processing. The project starts by collecting a data-base of information across child language development, brain-imaging and language modelling. It then proceeds by hard-wired construction of an ACTION network model of phrase analysers (with suitable high-order chunking neurones). The processing powers and the dynamical activations of this will be related to known experimental data. This architecture is then extended by learning and again the resulting phrase analysers are related to experimental data. A further extension to a larger data-base will then be attempted and again experimental data will be related to for further guidance. The project will conclude with a written review of the results obtained together with a set of suggested experiments for testing the constructed architectures. For benefits see under beneficiaries.
Key Findings
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Potential use in non-academic contexts
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Impacts
Description This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Summary
Date Materialised
Sectors submitted by the Researcher
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Project URL:  
Further Information:  
Organisation Website: