Grammatical Inference: Learning Syntax from Sentences Third International Colloquium, ICGI-96, Montpellier, France, September 25 - 27, 1996. Proceedings

Name: Grammatical Inference: Learning Syntax from Sentences Third International Colloquium, ICGI-96, Montpellier, France, September 25 - 27, 1996. Proceedings
Price: 55.74 USD
Availability: InStock
ISBN: 9783540617785

ISBN-10: 3540617787

ISBN-13: 9783540617785

Edition: 1996

Authors: Laurent Miclet, Colin De La Higuera

List price: $54.99

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Description:

This book constitutes the refereed proceedings of the Third International Colloquium on Grammatical Inference, ICGI-96, held in Montpellier, France, in September 1996.The 25 revised full papers contained in the book together with two invited key papers by Magerman and Knuutila were carefully selected for presentation at the conference. The papers are organized in sections on algebraic methods and algorithms, natural language and pattern recognition, inference and stochastic models, incremental methods and inductive logic programming, and operational issues.

Book details

List price: $54.99
Copyright year: 1996
Publisher: Springer Berlin / Heidelberg
Publication date: 9/16/1996
Binding: Paperback
Pages: 334
Size: 6.10" wide x 9.25" long x 0.75" tall
Weight: 2.354
Language: English



Learning grammatical structure using statistical decision-trees



Inductive inference from positive data: from heuristic to characterizing methods



Unions of identifiable families of languages



Characteristic sets for polynomial grammatical inference



Query learning of subsequential transducers



Lexical categorization : fitting template grammars by incremental MDL optimization



Selection criteria for word trigger pairs in language modelling



Clustering of sequences using minimum grammar complexity criterion



A note on grammatical inference of slender context-free languages



Learning linear grammars from structural information



Learning of context-sensitive language acceptors through regular inference and constrained induction



Inducing constraint grammars



Introducing statistical dependencies and structural constraints in variable-length sequence models



A disagreement count scheme for inference of constrained Markov networks



Using knowledge to improve N-gram language modelling through the MGGI methodology



Discrete sequence prediction with commented Markov models



Learning k-piecewise testable languages from positive data



Learning code regular and code linear languages



Incremental regular inference



An incremental interactive algorithm for grammar inference



Inductive logic programming for discrete event systems



Stochastic simple recurrent neural networks



Inferring stochastic regular grammars with recurrent neural networks



Maximum mutual information and conditional maximum likelihood estimation of stochastic regular syntax-directed translation schemes



Grammatical inference using tabu search



Using domain information during the learning of a subsequential transducer



Identification of DFA : data-dependant vs data-independant algorithms



Author Index