## Abstract The original Bayes used an analogy involving an invariant prior and a statistical model and argued that the resulting combination of prior with likelihood provided a probability description of an unknown parameter value in an application; the combination in particular contexts with inva
An inference approach to grammar construction
β Scribed by H-H. Shih; S.J. Young; N.P. Waegner
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 154 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0885-2308
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β¦ Synopsis
A system of computer assisted grammar construction (CAGC) is presented in this paper. The CAGC system is designed to generate broad-coverage grammars for large natural language corpora by utilizing both an extended inside-outside algorithm and an automatic phrase bracketing (AUTO) system which is designed to provide the extended algorithm with constituent information during learning. This paper demonstrates the capability of the CAGC system to deal with realistic natural language problems and the usefulness of the AUTO system for constraining the inside-outside based grammar reestimation. Performance results, including coverage, recall and precision, are presented for a grammar constructed for the Wall Street Journal (WSJ) corpus using the Penn Treebank.
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