| EPSRC Reference: |
GR/L81406/01 |
| Title: |
ENHANCED LANGUAGE MODELLING THROUGH IMPROVED LEXICAL, GRAMMATICAL AND SYNTACTIC LABELLING |
| Principal Investigator: |
Huckvale, Professor MA |
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| Department: |
Phonetics and Linguistics |
| Organisation: |
UCL |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 April 1998 |
Ends: |
31 March 2001 |
Value (£): |
172,895
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| EPSRC Research Topic Classifications: |
| Human Communication in ICT |
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| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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The overall aim of the research is the creation of measurable enhancements to the performance of a trigram language model for speech recognition through the improved use of linguistic information at lexical, grammatical and syntactic levels. Our proposal has three main novel elements:1. the introduction of a lexical analysis component that reduces data sparseness through analyses of the morphological structure and the collocational preference of words,2. the introduction of a rich word-class tagging system enhanced for the particular problems of statistical language modelling,3. the introduction of phrase level parsing based on the Survey parser constructed from the current EPSRC project. We aim to evaluate our designs on standard corpora using the standard measures of perplexity. We also propose to evaluate our results on N-best recognition results from a large-vocabulary speech recognition system.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
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| Description |
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| 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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