OASIcs.ICCSW.2012.142.pdf
- Filesize: 0.53 MB
- 7 pages
Document
Search-Based Ambiguity Detection in Context-Free Grammars
Authors
-
Part of:
Volume:
2012 Imperial College Computing Student Workshop (ICCSW 2012)
Series: Open Access Series in Informatics (OASIcs) - License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license
- Publication Date: 2012-11-09
Cite As Get BibTex
Naveneetha Vasudevan and Laurence Tratt. Search-Based Ambiguity Detection in Context-Free Grammars. In 2012 Imperial College Computing Student Workshop. Open Access Series in Informatics (OASIcs), Volume 28, pp. 142-148, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)
https://doi.org/10.4230/OASIcs.ICCSW.2012.142
Abstract
Context Free Grammars (CFGs) can be ambiguous, allowing inputs to be parsed in more than one way, something that is undesirable for uses such as programming languages. However, statically detecting ambiguity is undecidable. Though approximation techniques have had some success in uncovering ambiguity, they can struggle when the ambiguous subset of the grammar is large. In this paper, we describe a simple search-based technique which appears to have a better success rate in such cases.
Subject Classification
Keywords
- Ambiguity
- Parsing
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads