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Theoretical Computer Science
Volume 347, Issues 1-2, 30 November 2005, Pages 276-287
 
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doi:10.1016/j.tcs.2005.07.025    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2005 Elsevier B.V. All rights reserved.

Linear deterministic multi bottom-up tree transducersstar, open

Zoltán Fülöpa, Corresponding Author Contact Information, E-mail The Corresponding Author, Armin Kühnemannb, E-mail The Corresponding Author and Heiko Voglerb, E-mail The Corresponding Author

aDepartment of Computer Science, University of Szeged, Árpád tér 2., H-6720 Szeged, Hungary bFaculty of Computer Science, Technical University of Dresden, D-01062 Dresden, Germany

Received 10 September 2004; 
revised 14 January 2005; 
accepted 22 July 2005. 
Communicated by M. Ito. 
Available online 24 August 2005.

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Abstract

In general, top-down and bottom-up tree transducers lead to incomparable classes of tree transformations, both for the nondeterministic and the deterministic case. If deterministic top-down tree transducers are extended by the capability to recognize regular tree properties and deterministic bottom-up tree transducers are generalized by allowing states with arbitrary finite rank, then the two devices, now called deterministic top-down tree transducers with regular look-ahead and deterministic multi bottom-up tree transducers, respectively, become equivalent [Z. Fülöp, A. Kühnemann, H. Vogler, A bottom-up characterization of deterministic top-down tree transducers with regular look-ahead, Inform. Process. Lett. 91 (2004) 57–67].

In this paper we focus on the class ld-MBOT of tree transformations which are computed by linear deterministic multi bottom-up tree transducers. We investigate the relationship among ld-MBOT and the classes of tree transformations computed by (restricted) deterministic bottom-up tree transducers and by (restricted) deterministic top-down tree transducers with regular look-ahead. In fact, we show the inclusion diagram of nine such classes.

Keywords: Tree automata; Tree transducers


Theoretical Computer Science
Volume 347, Issues 1-2, 30 November 2005, Pages 276-287
 
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