Devices for the generation of languages, corresponding to the probabilistic recognition devices or probabilistic automata, are introduced and the resulting families of languages are investigated. Comparisons are made with some other recently introduced grammars, where restrictions are imposed not only on the form of the rewriting rules but also on the use of them. A uniform representation for such grammars is provided by the notion of a grammar with a prescribed control language for the derivations
Probabilistic grammars define a set of well-formed or grammatical linguistic structures, just as all...
AbstractComputing in the traditional sense involves inputs with strings of numbers and symbols rathe...
Usually, probabilistic automata and probabilistic grammars have crisp symbols as inputs, which can b...
A mathematical formulation of probabilistic grammars, as well as the random languages generated by p...
A probabilistic Chomsky–Schützenberger hierarchy of grammars is introduced and studied, with the aim...
For semi-Thue systems the notion of probabilistic rule is introduced. Based on probabilistic rules, ...
The purpose of this paper is to briefly examine two proposed extensions of statistical/probabilistic...
It is quite natural to assign probabilities (or frequencies) to the sentences of a language to try t...
Probabilistic grammars acting as information sources are considered and concepts from information th...
A probabilistic string is a sequence of probability vectors. Each vector specifies a probability dis...
AbstractIn a probabilistic graph grammar, each production has a probability attached to it. This ind...
The purpose of this paper is to define the framework within which empirical investigations of probab...
Nondeterministic weighted automata are finite automata with numerical weights oil transitions. They ...
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural lan...
We describe a framework for inducing probabilistic grammars from corpora of positive samples. First,...
Probabilistic grammars define a set of well-formed or grammatical linguistic structures, just as all...
AbstractComputing in the traditional sense involves inputs with strings of numbers and symbols rathe...
Usually, probabilistic automata and probabilistic grammars have crisp symbols as inputs, which can b...
A mathematical formulation of probabilistic grammars, as well as the random languages generated by p...
A probabilistic Chomsky–Schützenberger hierarchy of grammars is introduced and studied, with the aim...
For semi-Thue systems the notion of probabilistic rule is introduced. Based on probabilistic rules, ...
The purpose of this paper is to briefly examine two proposed extensions of statistical/probabilistic...
It is quite natural to assign probabilities (or frequencies) to the sentences of a language to try t...
Probabilistic grammars acting as information sources are considered and concepts from information th...
A probabilistic string is a sequence of probability vectors. Each vector specifies a probability dis...
AbstractIn a probabilistic graph grammar, each production has a probability attached to it. This ind...
The purpose of this paper is to define the framework within which empirical investigations of probab...
Nondeterministic weighted automata are finite automata with numerical weights oil transitions. They ...
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural lan...
We describe a framework for inducing probabilistic grammars from corpora of positive samples. First,...
Probabilistic grammars define a set of well-formed or grammatical linguistic structures, just as all...
AbstractComputing in the traditional sense involves inputs with strings of numbers and symbols rathe...
Usually, probabilistic automata and probabilistic grammars have crisp symbols as inputs, which can b...