<div><p>The parsing problem is one of the key problems of graph grammars. The typical parsing algorithm uses the bottom-up method. The time-complexity of this method is high, and it is difficult to apply. In order to reduce the time-complexity, this paper uses the top-down method for parsing. This method avoids the subgraph isomorphism judgment and selects the productions specifically, so that the time-complexity is greatly reduced.</p></div
Abstract: Deterministic graph grammars generate a family of infinite graphs which characterize conte...
AbstractThe complexity of languages generated by so-called context-free string grammars with disconn...
In the compiler literature, parsing algorithms for context-free grammars are presented using string ...
The parsing problem is one of the key problems of graph grammars. The typical parsing algorithm uses...
A key problem in semantic parsing with graph-based semantic representations is graph parsing, i.e. c...
Further results of research into graph grammar-based parsing for syntactic pattern recognition (Patt...
Graph grammars may be used as natural and powerful syntax-definition formalisms for visual programmi...
Abstract: This paper proposes an edge-based context-sensitive graph grammar formalism with a concen...
Further results of research into graph grammar parsing for syntactic pattern recognition (Pattern Re...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
A top-down parsing scheme for macro grammars is proposed. It extends the recursive descent method fr...
International audienceThough graph grammars have been widely investigated for 40 years, few learning...
Graph parsing is known to be computationally expensive. For this reason the construction of special-...
A research into a syntactic pattern recognition model based on (edNLC) graph grammars (introduced an...
International audienceWe present a refined parsing graph approach to learn smaller contextually subs...
Abstract: Deterministic graph grammars generate a family of infinite graphs which characterize conte...
AbstractThe complexity of languages generated by so-called context-free string grammars with disconn...
In the compiler literature, parsing algorithms for context-free grammars are presented using string ...
The parsing problem is one of the key problems of graph grammars. The typical parsing algorithm uses...
A key problem in semantic parsing with graph-based semantic representations is graph parsing, i.e. c...
Further results of research into graph grammar-based parsing for syntactic pattern recognition (Patt...
Graph grammars may be used as natural and powerful syntax-definition formalisms for visual programmi...
Abstract: This paper proposes an edge-based context-sensitive graph grammar formalism with a concen...
Further results of research into graph grammar parsing for syntactic pattern recognition (Pattern Re...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
A top-down parsing scheme for macro grammars is proposed. It extends the recursive descent method fr...
International audienceThough graph grammars have been widely investigated for 40 years, few learning...
Graph parsing is known to be computationally expensive. For this reason the construction of special-...
A research into a syntactic pattern recognition model based on (edNLC) graph grammars (introduced an...
International audienceWe present a refined parsing graph approach to learn smaller contextually subs...
Abstract: Deterministic graph grammars generate a family of infinite graphs which characterize conte...
AbstractThe complexity of languages generated by so-called context-free string grammars with disconn...
In the compiler literature, parsing algorithms for context-free grammars are presented using string ...