Abstract:We introduce the bottom-up tree-to-graph transducer, which is very similar to the usual (total deterministic) bottom-up tree transducer except that it translates trees into hypergraphs rather than trees, using hypergraph substitution instead of tree substitution. If every output hypergraph of the transducer is a jungle, i.e., a hypergraph that can be unfolded into a tree, then the tree-to-graph transducer is said to be tree-generating and naturally defines a tree-to-tree translation. We prove that bottom-up tr… Show more
“…On the other hand, (nondeterministic) bottom-up and top-down tree automata recognize the same class of tree languages [15,16], linear and nondeleting bottom-up and top-down tree transducers compute the same class of tree transformations [5], and tree-generating bottom-up and top-down tree-to-graph transducers are equivalent [12].…”
Section: Introductionmentioning
confidence: 99%
“…One is the bottom-up processing, which starts at the leaves of a tree s and ends up in the root of s. The other one is the top-down processing, when the process starts at the root of s and proceeds towards the leaves of s. Therefore the literature distinguishes between bottom-up (or: frontier-to-root) and top-down (or: root-to-frontier) tree automata, tree transducers, and tree-to-graph transducers [17][18][19]5,6,1,15,16,12].…”
“…On the other hand, (nondeterministic) bottom-up and top-down tree automata recognize the same class of tree languages [15,16], linear and nondeleting bottom-up and top-down tree transducers compute the same class of tree transformations [5], and tree-generating bottom-up and top-down tree-to-graph transducers are equivalent [12].…”
Section: Introductionmentioning
confidence: 99%
“…One is the bottom-up processing, which starts at the leaves of a tree s and ends up in the root of s. The other one is the top-down processing, when the process starts at the root of s and proceeds towards the leaves of s. Therefore the literature distinguishes between bottom-up (or: frontier-to-root) and top-down (or: root-to-frontier) tree automata, tree transducers, and tree-to-graph transducers [17][18][19]5,6,1,15,16,12].…”
“…We do not consider generalizations of the IO-substitution. Bozapalidis [11], Engelfriet, Fülöp, Vogler [19] and Fülöp, Vogler [23] consider these generalizations to formal tree series.…”
Section: Corollary 25 Suppose Thatmentioning
confidence: 99%
“…Kuich [39] generalized a restricted form of top-down tree transducers to tree series transducers which map formal tree series into formal tree series. Engelfriet, Fülöp, Vogler [19] and Fülöp, Vogler [23] generalized this approach and defined bottom-up and top-down tree series transducers as generalization of frontier-to-root and root-to-frontier tree transducers in the sense of Gécseg, Steinby [24,25]. In this section we only consider the case of top-down tree series transducers.…”
Section: Tree Series Transducersmentioning
confidence: 99%
“…Formal tree series were introduced by Berstel, Reutenauer [5], and then extensively studied by Bozapalidis [7,8,9,10,11], Bozapalidis, Rahonis [12], Kuich [38,39,40,41,43], Engelfriet, Fülöp, Vogler [19] and Fülöp, Vogler [23].…”
In this survey we generalize some results on formal tree languages, tree grammars and tree automata by an algebraic treatment using semirings, fixed point theory, formal tree series and matrices. The use of these mathematical constructs makes definitions, constructions, and proofs more satisfactory from an mathematical point of view than the customary ones. The contents of this survey paper is indicated by the titles of the sections:
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