| EPSRC Reference: |
GR/N36462/01 |
| Title: |
ROBUST ACCURATE STATISTICAL PARSING (RASP) |
| Principal Investigator: |
Briscoe, Professor EJ |
| Other Investigators: |
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| Project Partners: |
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| Department: |
Computer Science and Technology |
| Organisation: |
University of Cambridge |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 September 2001 |
Ends: |
31 August 2004 |
Value (£): |
156,103
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| EPSRC Research Topic Classifications: |
| Human Communication in ICT |
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| EPSRC Industrial Sector Classifications: |
| Creative Industries |
No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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The project will integrate and extend several strands of research on robust statistical parsing and automated grammar and lexicon induction, in order to develop and distribute a new parsing toolkit which will significantly extend the current state-of-the-art. The system will be the focus of further research on: 1) the development of fully domain-independent automated training regimes, allowing the rapid construction of an accurate parser for specific domain-dependant applications; 2) the integration of statistical techniques for disambiguation with related techniques for incremental grammar rule induction in the face of parse failure, allowing robust coverage of extragrammatical input; and 3) the evaluation and incremental improvement of such systems.
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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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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.cam.ac.uk |