| EPSRC Reference: |
GR/N38770/01 |
| Title: |
IS LANGUAGE A MINIMUM-COMPLEXITY TEMPORAL SEQUENCE LEARNING SYSTEM? |
| Principal Investigator: |
Taylor, Professor J |
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| Department: |
Mathematics |
| Organisation: |
Kings College London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 September 2000 |
Ends: |
31 August 2003 |
Value (£): |
168,058
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| EPSRC Research Topic Classifications: |
| Cognitive Science Appl. in ICT |
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| EPSRC Industrial Sector Classifications: |
| Information Technologies |
No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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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.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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