Deciding Equivalence of Linear Tree-to-Word ...
Document type :
Communication dans un congrès avec actes
Title :
Deciding Equivalence of Linear Tree-to-Word Transducers in Polynomial Time
Author(s) :
Boiret, Adrien [Auteur]
Université de Lille
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Linking Dynamic Data [LINKS]
Palenta, Raphaela [Auteur]
Technische Universität Munchen - Technical University Munich - Université Technique de Munich [TUM]
Université de Lille
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Linking Dynamic Data [LINKS]
Palenta, Raphaela [Auteur]
Technische Universität Munchen - Technical University Munich - Université Technique de Munich [TUM]
Conference title :
20th International Conference on Developments in Language Theory (DLT 2016)
City :
Montreal
Country :
Canada
Start date of the conference :
2016-07-25
Book title :
Lecture Notes in Computer Science
Journal title :
Developments in Language Theory - 20th International Conference, DLT 2016, Montréal, Canada, July 25-28, 2016, Proceedings
Publisher :
Springer
Publication date :
2016-07-21
English keyword(s) :
Tree Transducer
Deciding Equivalence
Partial Normal Form
Deciding Equivalence
Partial Normal Form
HAL domain(s) :
Informatique [cs]/Calcul formel [cs.SC]
Informatique [cs]/Théorie et langage formel [cs.FL]
Informatique [cs]/Théorie et langage formel [cs.FL]
English abstract : [en]
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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
ANR Project :
Collections :
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