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A Flexible and Efficient ML Lexer Tool Based on Extended Regular Expression Submatching

  • Martin Sulzmann
  • Pippijn van Steenhoven
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8409)

Abstract

Lexical analysis has many applications beyond the first phase of compilation in programming language processing. We argue that extended regular expressions combined with the ability to extract submatch information significantly increase the expressiveness of lexer specifications. We show that such an expressive lexical analysis can be done efficiently using some novel automata-based methods. The approach has been implemented in an ML lexer tool which is compatible with ocamllex. Experimental results confirm that our approach is competitive with respect to existing ML lexer tools.

Keywords

Regular Expression Character Class Semantic Action Partial Derivative Operation Lexical Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Martin Sulzmann
    • 1
  • Pippijn van Steenhoven
    • 1
  1. 1.Hochschule Karlsruhe - Technik und WirtschaftGermany

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