Bit-Parallel Approximate String Matching Algorithms with Transposition

  • Heikki Hyyrö
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2857)


Using bit-parallelism has resulted in fast and practical algorithms for approximate string matching under the Levenshtein edit distance, which permits a single edit operation to insert, delete or substitute a character. Depending on the parameters of the search, currently the fastest non-filtering algorithms in practice are the O(knm/w ⌉) algorithm of Wu & Manber, the O(⌈km/wn) algorithm of Baeza-Yates & Navarro, and the O(⌈m/wn) algorithm of Myers, where m is the pattern length, n is the text length, k is the error threshold and w is the computer word size. In this paper we discuss a uniform way of modifying each of these algorithms to permit also a fourth type of edit operation: transposing two adjacent characters in the pattern. This type of edit distance is also known as the Damerau edit distance. In the end we also present an experimental comparison of the resulting algorithms.


Edit Distance Edit Operation Pattern Length Approximate String Match Dynamic Programming Table 
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 2003

Authors and Affiliations

  • Heikki Hyyrö
    • 1
  1. 1.Department of Computer and Information SciencesUniversity of TampereFinland

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