Definability Results for Top-Down Tree Transducers

Sebastian Maneth, Helmut Seidl, Martin Vu

Research output: Contribution to journalArticlepeer-review

Abstract

Top-down tree transducers are well established formalism for describing tree translations. Such transducers can be further enhanced with look-ahead allowing them to inspect input subtrees before processing them. Oftentimes it is advantageous to know when the look-ahead can be eliminated and the translation be implemented by a simpler transducer. We show that for a given top-down transducer with look-ahead it is decidable whether or not its translation is definable (1) by a linear deterministic top-down tree transducer or (2) by a tree homomorphism. We present algorithms that construct equivalent such transducers if they exist. Our results also apply to bottom-up transducers as well as compositions of transducers.

Original languageEnglish
Pages (from-to)253-287
Number of pages35
JournalInternational Journal of Foundations of Computer Science
Volume34
Issue number2-3
DOIs
StatePublished - 1 Feb 2023

Keywords

  • Transducer
  • homomorphism
  • linearity

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