Approximate matching between a context-free grammar and a finite-state automaton

Yo Sub Han; Sang Ki Ko; Kai Salomaa

doi:10.1007/978-3-642-39274-0_14

Approximate matching between a context-free grammar and a finite-state automaton

Yo Sub Han, Sang Ki Ko, Kai Salomaa

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

Given a context-free grammar (CFG) and a finite-state automaton (FA), we tackle the problem of computing the most similar pair of strings from two languages. We in particular consider three different gap cost models, linear, affine and concave models, that are crucial for finding a proper alignment between two bio sequences. We design efficient algorithms for computing the edit-distance between a CFG and an FA under these gap cost models. The time complexity of our algorithm for computing the linear or affine gap distance is polynomial and the time complexity for the concave gap distance is exponential.

Original language	English
Title of host publication	Implementation and Application of Automata - 18th International Conference, CIAA 2013, Proceedings
Pages	146-157
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-39274-0_14
Publication status	Published - 2013 Aug 13
Event	18th International Conference on Implementation and Application of Automata, CIAA 2013 - Halifax, NS, Canada Duration: 2013 Jul 16 → 2013 Jul 19

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7982 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	18th International Conference on Implementation and Application of Automata, CIAA 2013
Country	Canada
City	Halifax, NS
Period	13/7/16 → 13/7/19

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All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Cite this

Han, Y. S., Ko, S. K., & Salomaa, K. (2013). Approximate matching between a context-free grammar and a finite-state automaton. In Implementation and Application of Automata - 18th International Conference, CIAA 2013, Proceedings (pp. 146-157). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7982 LNCS). https://doi.org/10.1007/978-3-642-39274-0_14

Han, Yo Sub ; Ko, Sang Ki ; Salomaa, Kai. / Approximate matching between a context-free grammar and a finite-state automaton. Implementation and Application of Automata - 18th International Conference, CIAA 2013, Proceedings. 2013. pp. 146-157 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Han, YS, Ko, SK & Salomaa, K 2013, Approximate matching between a context-free grammar and a finite-state automaton. in Implementation and Application of Automata - 18th International Conference, CIAA 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7982 LNCS, pp. 146-157, 18th International Conference on Implementation and Application of Automata, CIAA 2013, Halifax, NS, Canada, 13/7/16. https://doi.org/10.1007/978-3-642-39274-0_14

Approximate matching between a context-free grammar and a finite-state automaton. / Han, Yo Sub; Ko, Sang Ki; Salomaa, Kai.

Implementation and Application of Automata - 18th International Conference, CIAA 2013, Proceedings. 2013. p. 146-157 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7982 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Han YS, Ko SK, Salomaa K. Approximate matching between a context-free grammar and a finite-state automaton. In Implementation and Application of Automata - 18th International Conference, CIAA 2013, Proceedings. 2013. p. 146-157. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-39274-0_14

Access to Document

10.1007/978-3-642-39274-0_14