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An O(n^3) Agenda-Based Chart Parser for Arbitrary Probabilistic Context-Free Grammars

Klein, Dan and Manning, Christopher D. (2001) An O(n^3) Agenda-Based Chart Parser for Arbitrary Probabilistic Context-Free Grammars. Technical Report. Stanford.

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Abstract

While $O(n^3)$ methods for parsing probabilistic context-free grammars (PCFGs) are well known, a tabular parsing framework for arbitrary PCFGs which naturally allows top-down, bottom-up, and other strategies, corresponding to active chart parsing for CFGs, has not yet been provided. This paper presents such an algorithm, and shows its correctness and advantages over prior work. The paper finishes by bringing out the connections between the algorithm and work on hypergraphs, which permits us to extend the presented Viterbi (best parse) algorithm to an inside (total probability) algorithm.

Item Type:Techreport (Technical Report)
Uncontrolled Keywords:nlp, parsing, probabilistic parsing, chart parsing, hypergraphs
Subjects:Computer Science
Projects:Miscellaneous
Related URLs:Project Homepagehttp://www-nlp.stanford.edu/
ID Code:491
Deposited By:Import Account
Deposited On:26 Apr 2001 17:00
Last Modified:27 Dec 2008 10:10

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