| EPSRC Reference: |
GR/N01040/01 |
| Title: |
ROPA: MACHINE LEARNING OF NATURAL LANGUAGE IN A COMPUTATIONAL LOGIC FRAMEWORK |
| Principal Investigator: |
Kazakov, Dr D |
| Other Investigators: |
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| Department: |
Computer Science |
| Organisation: |
University of York |
| Scheme: |
ROPA |
| Starts: |
01 October 2000 |
Ends: |
31 March 2003 |
Value (£): |
99,156
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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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This is an interdisciplinary project, involving computer science and linguistics, which aims to test the hypothesis that computers can use logic-based Machine Learning algorithms to acquire and augment, semi-automatically, abilities in the generation and understanding of natural language. We shall consider problems of automatic learning of both syntax and semantics. Inductive Logic Programming will be used to(1) increase grammar coverage; (2) induce domain theories to disambiguate parsing.If the project is successful, the resulting strategy to grammar,construction will potentially combine the large coverage of the existing statistical methods with the deeper level of analysis that logical representations allow.
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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.york.ac.uk |