| Carroll, G. (1995). Learning Probabilistic Grammars for Language Modelling. PhD thesis, Department of Computer Science, Brown University. |
....algorithm for parsing and of the Inside Outside algorithm [Lari and Young, 1990] an instance of the Expectation Maximisation (EM) algorithm [Baum, 1972] for parameter estimation. The resulting grammar model is a trained, head lexicalised probabilistic version of the original context free grammar [Carroll, 1995, Carroll and Rooth, 1998] including lexicalised model parameters: it contains lexicalised rules, i.e. grammar rules referring to a specic lexical head, and lexical choice parameters, a measure of lexical coherence between lexical heads. Concerning verbs, for example, the lexical rule parameters ....
Carroll, G. (1995). Learning Probabilistic Grammars for Language Modeling. PhD thesis, Department of Computer Science, Brown University.
....telescope could attach to either one of the preceding noun phrases is an example. Disambiguation of these ambiguities requires information about the lexical heads of the constituents, as Hindle and Rooth [Hindle and Rooth, 1993] show. Head lexicalised probabilistic context free grammars (HPCFGs) [Carroll, 1995, Carroll and Rooth, 1998] deal with this problem. 2.1 Head Lexicalised Probabilistic Context Free Grammars Syntactically, a head lexicalised probabilistic context free grammar (HPCFG) is a probabilistic context free grammar (PCFG) in which one of the categories on the right hand side of each ....
Carroll, G. (1995). Learning Probabilistic Grammars for Language Modelling. PhD thesis, Department of Computer Science, Brown University.
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Carroll, G. (1995). Learning Probabilistic Grammars for Language Modelling. PhD thesis, Department of Computer Science, Brown University.
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Glenn Carroll. 1995. Learning Probabilistic Grammars for Language Modeling. Ph.D.
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