Analyzing ambiguity of context-free grammars

Brabrand C, Giegerich R, Moller A (2010)
SCIENCE OF COMPUTER PROGRAMMING 75(3): 176-191.

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Abstract
It has been known since 1962 that the ambiguity problem for context-free grammars is undecidable. Ambiguity in context-free grammars is a recurring problem in language design and parser generation, as well as in applications where grammars are used as models of real-world physical structures. We observe that there is a simple linguistic characterization of the grammar ambiguity problem, and we show how to exploit this by presenting an ambiguity analysis framework based on conservative language approximations. As a concrete example, we propose a technique based on local regular approximations and grammar unfoldings. We evaluate the analysis using grammars that occur in RNA analysis in bioinformatics, and we demonstrate that it is sufficiently precise and efficient to be practically useful. (C) 2009 Elsevier B.V. All rights reserved.
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Brabrand C, Giegerich R, Moller A. Analyzing ambiguity of context-free grammars. SCIENCE OF COMPUTER PROGRAMMING. 2010;75(3):176-191.
Brabrand, C., Giegerich, R., & Moller, A. (2010). Analyzing ambiguity of context-free grammars. SCIENCE OF COMPUTER PROGRAMMING, 75(3), 176-191.
Brabrand, C., Giegerich, R., and Moller, A. (2010). Analyzing ambiguity of context-free grammars. SCIENCE OF COMPUTER PROGRAMMING 75, 176-191.
Brabrand, C., Giegerich, R., & Moller, A., 2010. Analyzing ambiguity of context-free grammars. SCIENCE OF COMPUTER PROGRAMMING, 75(3), p 176-191.
C. Brabrand, R. Giegerich, and A. Moller, “Analyzing ambiguity of context-free grammars”, SCIENCE OF COMPUTER PROGRAMMING, vol. 75, 2010, pp. 176-191.
Brabrand, C., Giegerich, R., Moller, A.: Analyzing ambiguity of context-free grammars. SCIENCE OF COMPUTER PROGRAMMING. 75, 176-191 (2010).
Brabrand, Claus, Giegerich, Robert, and Moller, Anders. “Analyzing ambiguity of context-free grammars”. SCIENCE OF COMPUTER PROGRAMMING 75.3 (2010): 176-191.
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