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Authors: Luis Quesada ; Fernando Berzal and Francisco J. Cortijo

Affiliation: University of Granada, Spain

ISBN: 978-989-8425-76-8

Keyword(s): Language processor, Lexical analyzer, Scanner, Lexer, Lexical ambiguity, Lexical analysis graph.

Related Ontology Subjects/Areas/Topics: Algorithms and Data Structures ; Business Analytics ; Data Engineering ; Data Exchange and Integration ; Programming Languages ; Software Engineering

Abstract: Lexical ambiguities may naturally arise in language specifications. We present Lamb, a lexical analyzer that captures overlapping tokens caused by lexical ambiguities. This novel technique scans through the input string and produces a lexical analysis graph that describes all the possible sequences of tokens that can be found within the string. The lexical graph can then be fed as input to a parser, which will discard any sequence of tokens that does not produce a valid syntactic sentence. In summary, our approach allows a context-sensitive lexical analysis that supports lexically-ambiguous language specifications.

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Paper citation in several formats:
Quesada L., Berzal F. and J. Cortijo F. (2011). LAMB - A Lexical Analyzer with Ambiguity Support.In Proceedings of the 6th International Conference on Software and Database Technologies - Volume 1: ICSOFT, ISBN 978-989-8425-76-8, pages 297-300. DOI: 10.5220/0003476802970300

@conference{icsoft11,
author={Luis Quesada and Fernando Berzal and Francisco J. Cortijo},
title={LAMB - A Lexical Analyzer with Ambiguity Support},
booktitle={Proceedings of the 6th International Conference on Software and Database Technologies - Volume 1: ICSOFT,},
year={2011},
pages={297-300},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003476802970300},
isbn={978-989-8425-76-8},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Software and Database Technologies - Volume 1: ICSOFT,
TI - LAMB - A Lexical Analyzer with Ambiguity Support
SN - 978-989-8425-76-8
AU - Quesada L.
AU - Berzal F.
AU - J. Cortijo F.
PY - 2011
SP - 297
EP - 300
DO - 10.5220/0003476802970300

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