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Home > Grammatical Inference: Learning Syntax from Sentences: Third International Colloquium, ICGI-96, Montpellier, France, September 25 - 27, 1996. Proceedings > An incremental interactive algorithm for regular grammar inference
Grammatical Inference: Learning Syntax from Sentences: Third International Colloquium, ICGI-96, Montpellier, France, September 25 - 27, 1996. Proceedings |
Laurent Miclet; Colin de la Higuera
Springer Berlin Heidelberg
Grammatical Inference: Learning Syntax from Sentences: Third International Colloquium, ICGI-96, Montpellier, France, September 25 - 27, 1996. Proceedings
An incremental interactive algorithm for regular grammar inference
Authors

Rajesh Parekh; Vasant Honavar

ARI Id

1664728000231_2962898

Access

Not Available Free

Pages

238-249

DOI

10.1007/BFb0033358

Chapter URL

https://rd.springer.com/chapter/10.1007/BFb0033358

Table of Contents of Book
Showing 1 to 20 of 29 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Learning grammatical structure using statistical decision-trees
David M. Magerman
1-21
Inductive inference from positive data: from heuristic to characterizing methods
Timo Knuutila
22-47
Unions of identifiable families of languages
Kalvis Apsītis; Rūsiņš Freivalds; Raimonds Simanovskis; Juris Smotrovs
48-58
Characteristic sets for polynomial grammatical inference
Colin De La Higuera
59-71
Query learning of subsequential transducers
Juan Miguel Vilar
72-83
Lexical categorization: Fitting template grammars by incremental MDL optimization
Michael R. Brent; Timothy A. Cartwright
84-94
Selection criteria for word trigger pairs in language modeling
Christoph Tillmann; Hermann Ney
95-106
Clustering of sequences using a minimum grammar complexity criterion
Ana L. N. Fred
107-116
A note on grammatical inference of slender context-free languages
Yuji Takada; Taishin Y. Nishida
117-125
Learning linear grammars from structural information
Jose M. Sempere; Antonio Fos
126-133
Learning of context-sensitive language acceptors through regular inference and constraint induction
René Alquézar; Alberto Sanfeliu; Jordi Cueva
134-145
Inducing constraint grammars
Christer Samuelsson; Pasi Tapanainen; Atro Voutilainen
146-155
Introducing statistical dependencies and structural constraints in variable-length sequence models
Sabine Deligne; François Yvon; Frédéric Bimbot
156-167
A disagreement count scheme for inference of constrained Markov networks
J. Gregor; M. G. Thomason
168-178
Using knowledge to improve N-Gram language modelling through the MGGI methodology
Enrique Vidal; David Llorens
179-190
Discrete sequence prediction with commented Markov models
Reinhard Blasig
191-202
Learning k-piecewise testable languages from positive data
José Ruiz; Pedro García
203-210
Learning code regular and code linear languages
J. D. Emerald; K. G. Subramanian; D. G. Thomas
211-221
Incremental regular inference
Pierre Dupont
222-237
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 29 entries
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