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14 - Ambiguity

from PART II - ADVANCED TOPICS

Published online by Cambridge University Press:  05 July 2014

Haruo Hosoya
Affiliation:
University of Tokyo
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Summary

Ambiguity refers to the property whereby regular expressions or patterns have multiple matching possibilities. As discussed in Chapter 5, ambiguity can make the behavior of a program harder to understand and can actually be the result of a programming error. Therefore it is often useful to report it to the user. However, when we come to ask exactly what we mean by ambiguity, there is no consensus. In this chapter, we review three different definitions, strong ambiguity, weak ambiguities and binding ambiguity, and discuss how these notions are related to each other and how they can be checked algorithmically.

Caveat: In this chapter, we concentrate on regular expressions and patterns on strings rather than on trees in order to highlight the essence of ambiguity. The extension for the case of trees is routine and can be found in the literature.

Ambiguities for regular expressions

In this section, we study strong and weak ambiguities and how they can be decided by using an ambiguity checking algorithm for automata.

14.1.1 Definitions

Ambiguity arises when a regular expression has several occurrences of the same label. Therefore we need to be able to distinguish between these occurrences.

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Chapter
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Foundations of XML Processing
The Tree-Automata Approach
, pp. 176 - 189
Publisher: Cambridge University Press
Print publication year: 2010

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  • Ambiguity
  • Haruo Hosoya, University of Tokyo
  • Book: Foundations of XML Processing
  • Online publication: 05 July 2014
  • Chapter DOI: https://doi.org/10.1017/CBO9780511762093.015
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  • Ambiguity
  • Haruo Hosoya, University of Tokyo
  • Book: Foundations of XML Processing
  • Online publication: 05 July 2014
  • Chapter DOI: https://doi.org/10.1017/CBO9780511762093.015
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Ambiguity
  • Haruo Hosoya, University of Tokyo
  • Book: Foundations of XML Processing
  • Online publication: 05 July 2014
  • Chapter DOI: https://doi.org/10.1017/CBO9780511762093.015
Available formats
×