Grammatical Inference: Learning Syntax from Sentences, Vol. 114 Book

	Learning grammatical structure using statistical decision-trees	1
	Inductive inference from positive data: from heuristic to characterizing methods	22
	Unions of identifiable families of languages	48
	Characteristic sets for polynomial grammatical inference	59
	Query learning of subsequential transducers	72
	Lexical categorization : fitting template grammars by incremental MDL optimization	84
	Selection criteria for word trigger pairs in language modelling	95
	Clustering of sequences using minimum grammar complexity criterion	107
	A note on grammatical inference of slender context-free languages	117
	Learning linear grammars from structural information	126
	Learning of context-sensitive language acceptors through regular inference and constrained induction	134
	Inducing constraint grammars	146
	Introducing statistical dependencies and structural constraints in variable-length sequence models	156
	A disagreement count scheme for inference of constrained Markov networks	168
	Using knowledge to improve N-gram language modelling through the MGGI methodology	179
	Discrete sequence prediction with commented Markov models	191
	Learning k-piecewise testable languages from positive data	203
	Learning code regular and code linear languages	211
	Incremental regular inference	222
	An incremental interactive algorithm for grammar inference	238
	Inductive logic programming for discrete event systems	250
	Stochastic simple recurrent neural networks	262
	Inferring stochastic regular grammars with recurrent neural networks	274
	Maximum mutual information and conditional maximum likelihood estimation of stochastic regular syntax-directed translation schemes	282
	Grammatical inference using tabu search	292
	Using domain information during the learning of a subsequential transducer	301
	Identification of DFA : data-dependant vs data-independant algorithms	313
	Author Index	327