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Abstract: this document follows the outlined thesis contributions, with a few additions at the start and end. In the next section, we formalize what we have so far stated informally, giving definitions for PCFGs and language models, performance criteria for the grammar and learner, and so on. Having estabished a working vocabulary, we place the work in context of other work in the field, particularly related and competing work. Next we describe the basic system, first working through its components, and... (Update)
Context of citations to this paper: More
...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...
...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...
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BibTeX entry: (Update)
Glenn Carroll. 1995. Learning Probabilistic Grammars for Language Modeling. Ph.D. http://citeseer.ist.psu.edu/carroll95learning.html More
@misc{ carroll95learning,
author = "G. Carroll",
title = "Learning Probabilistic Grammars for Language Modeling",
text = "Glenn Carroll. 1995. Learning Probabilistic Grammars for Language Modeling.
Ph.D.",
year = "1995",
url = "citeseer.ist.psu.edu/carroll95learning.html" }
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