AbstractA graph grammar is a mechanism for generating sets of graphs (called graph languages). This paper examines the generating power of a simple extension of the well studied node-label controlled graph grammars. We show that the extension, called handle NLC grammars, gives the ability to generate any recursively enumerable graph language. The proof proceeds in three steps. First we show how a handle NLC grammar can simulate a phrase-structure string grammar, where the strings that the phrase-structure grammar works on are considered to be graphs of a special form. Then we demonstrate a way of encoding graphs as strings. The final step shows how a handle NLC grammar can convert a string encoding of a graph into the graph itself
AbstractWe introduce a graph-grammar model based on edge-replacement, where both the rewriting and t...
AbstractIn this paper we define graph grammars, called the node-replacement graph grammars with path...
In natural language processing (NLP) there is an increasing interest in formal models for processing...
AbstractNode-label controlled graph grammars (NLC grammars) are a mechanism to generate sets of grap...
AbstractSeveral models of ‘graph grammars’ have been studied with the objective of generating graphs...
Algorithms for inducing graph grammars from sets of graphs have been proposed before. An important c...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
AbstractA central feature that distinguishes graph grammars (we consider grammars generating sets of...
AbstractA research into syntax analysis of node label controlled (NLC) graph grammars (introduced an...
Work on probabilistic models of natural language tends to focus on strings and trees, but there is i...
Graph extension grammars provide a way to define graph languages. They consist of a regular tree gra...
Graph extension grammars provide a way to define graph languages. They consist of a regular tree gra...
AbstractNode label controlled (NLC) grammars are graph grammars (operating on node labeled undirecte...
AbstractIn the first half of this paper, we give an introductory survey on graph grammars that provi...
AbstractWe introduce a graph-grammar model based on edge-replacement, where both the rewriting and t...
AbstractIn this paper we define graph grammars, called the node-replacement graph grammars with path...
In natural language processing (NLP) there is an increasing interest in formal models for processing...
AbstractNode-label controlled graph grammars (NLC grammars) are a mechanism to generate sets of grap...
AbstractSeveral models of ‘graph grammars’ have been studied with the objective of generating graphs...
Algorithms for inducing graph grammars from sets of graphs have been proposed before. An important c...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
AbstractA central feature that distinguishes graph grammars (we consider grammars generating sets of...
AbstractA research into syntax analysis of node label controlled (NLC) graph grammars (introduced an...
Work on probabilistic models of natural language tends to focus on strings and trees, but there is i...
Graph extension grammars provide a way to define graph languages. They consist of a regular tree gra...
Graph extension grammars provide a way to define graph languages. They consist of a regular tree gra...
AbstractNode label controlled (NLC) grammars are graph grammars (operating on node labeled undirecte...
AbstractIn the first half of this paper, we give an introductory survey on graph grammars that provi...
AbstractWe introduce a graph-grammar model based on edge-replacement, where both the rewriting and t...
AbstractIn this paper we define graph grammars, called the node-replacement graph grammars with path...
In natural language processing (NLP) there is an increasing interest in formal models for processing...