Deciding Equivalence of Linear Tree-to-Word Transducers in Polynomial Time
classification
💻 cs.FL
keywords
lineartransducerstree-to-wordequivalencepolynomialtimebasiccharacterization
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We show that the equivalence of deterministic linear top-down tree-to-word transducers is decidable in polynomial time. Linear tree-to-word transducers are non-copying but not necessarily order-preserving and can be used to express XML and other document transformations. The result is based on a partial normal form that provides a basic characterization of the languages produced by linear tree-to-word transducers.
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