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Deciding Equivalence of Linear Tree-to-Word Transducers in Polynomial Time

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Developments in Language Theory (DLT 2016)

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Abstract

We show that the equivalence of 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.

A. Boiret—This work was partially supported by a grant from CPER Nord-Pas de Calais/FEDER DATA Advanced data science and technologies 2015–2020.

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Acknowledgement

We would like to thank the reviewers for their very helpful comments.

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Correspondence to Raphaela Palenta .

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Boiret, A., Palenta, R. (2016). Deciding Equivalence of Linear Tree-to-Word Transducers in Polynomial Time. In: Brlek, S., Reutenauer, C. (eds) Developments in Language Theory. DLT 2016. Lecture Notes in Computer Science(), vol 9840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53132-7_29

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  • DOI: https://doi.org/10.1007/978-3-662-53132-7_29

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