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LATA
2016
Springer

Normal Form on Linear Tree-to-Word Transducers

3 years 17 days ago
Normal Form on Linear Tree-to-Word Transducers
Abstract. We study a subclass of tree-to-word transducers: linear treeto-word transducers, that cannot use several copies of the input. We aim to study the equivalence problem on this class, by using minimization and normalization techniques. We identify a Myhill-Nerode characterization. It provides a minimal normal form on our class, computable in Exptime. This paper extends an already existing result on tree-to-word transducers without copy or reordering (sequential tree-to-word transducers), by accounting for all the possible reorderings in the output.
Adrien Boiret
Added 07 Apr 2016
Updated 07 Apr 2016
Type Journal
Year 2016
Where LATA
Authors Adrien Boiret
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