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Grammatical inference : learning syntax from sentences : Third International Colloquium, ICGI-96, Montpellier, France, September 25-27, 1996 : proceedings

Author: Laurent Miclet; Colin De la Higuera
Publisher: Berlin ; New York : Springer, ©1996.
Series: Lecture notes in computer science, 1147.; Lecture notes in computer science., Lecture notes in artificial intelligence.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"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,  Read more...
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Genre/Form: Kongreß
Conference papers and proceedings
Montpellier (1996)
Congresses
Congrès
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Laurent Miclet; Colin De la Higuera
ISBN: 3540617787 9783540617785
OCLC Number: 35397898
Notes: "International Colloquium on Grammatical Inference, 1996 (ICGI '96), held in Montpellier, France, from the 25th to the 27th of September 1996"--Preface.
Description: viii, 325 pages : illustrations ; 24 cm.
Contents: 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 modeling.- Clustering of sequences using a 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 constraint 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 regular 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 estimations 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-dependent versus data-independent algorithms.
Series Title: Lecture notes in computer science, 1147.; Lecture notes in computer science., Lecture notes in artificial intelligence.
Responsibility: Laurent Miclet, Colin de la Higuera (eds.).
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Abstract:

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  Read more...

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