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E-raamat: Grammatical Inference: Algorithms and Applications: 6th International Colloquium: ICGI 2002, Amsterdam, The Netherlands, September 23-25, 2002. Proceedings

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Grammatical Inference: Algorithms and Applications: 6th International Colloquium: ICGI 2002, Amsterdam, The Netherlands, September 23-25, 2002. ProceedingsSuurem pilt
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The Sixth International Colloquium on Grammatical Inference (ICGI2002) was held in Amsterdam on September 23-25th, 2002. ICGI2002 was the sixth in a series of successful biennial international conferenceson the area of grammatical inference. Previous meetings were held in Essex, U.K.; Alicante, Spain; Mo- pellier, France; Ames, Iowa, USA; Lisbon, Portugal. This series of meetings seeks to provide a forum for the presentation and discussion of original research on all aspects of grammatical inference. Gr- matical inference, the process of inferring grammars from given data, is a ?eld that not only is challenging from a purely scienti c standpoint but also ?nds many applications in real-world problems. Despite the fact that grammatical inference addresses problems in a re- tively narrow area, it uses techniques from many domains, and is positioned at the intersection of a number of di erent disciplines. Researchers in grammatical inference come from ?elds as diverse as machine learning, theoretical computer science, computational linguistics, pattern recognition, and arti cial neural n- works. From a practical standpoint, applications in areas like natural language - quisition, computational biology, structural pattern recognition, information - trieval, text processing, data compression and adaptive intelligent agents have either been demonstrated or proposed in the literature. The technical program included the presentation of 23 accepted papers (out of 41 submitted). Moreover, for the ?rst time a software presentation was or- nized at ICGI. Short descriptions of the corresponding software are included in these proceedings, too.

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Springer Book Archives
Contributions.- Inference of Sequential Association Rules Guided by
Context-Free Grammars.- PCFG Learning by Nonterminal Partition Search.-
Inferring Subclasses of Regular Languages Faster Using RPNI and Forbidden
Configurations.- Beyond EDSM.- Consistent Identification in the Limit of
Rigid Grammars from Strings Is NP-hard.- Some Classes of Regular Languages
Identifiable in the Limit from Positive Data.- Learning Probabilistic
Residual Finite State Automata.- Fragmentation: Enhancing Identifiability.-
On Limit Points for Some Variants of Rigid Lambek Grammars.- Generalized
Stochastic Tree Automata for Multi-relational Data Mining.- On Sufficient
Conditions to Identify in the Limit Classes of Grammars from Polynomial Time
and Data.- Stochastic Grammatical Inference with Multinomial Tests.- Learning
Languages with Help.- Incremental Learning of Context Free Grammars.-
Estimating Grammar Parameters Using Bounded Memory.- Stochastic k-testable
Tree Languages and Applications.- Fast Learning from Strings of 2-Letter
Rigid Grammars.- Learning Locally Testable Even Linear Languages from
Positive Data.- Inferring Attribute Grammars with Structured Data for Natural
Language Processing.- A PAC Learnability of Simple Deterministic Languages.-
On the Learnability of Hidden Markov Models.- Shallow Parsing Using
Probabilistic Grammatical Inference.- Learning of Regular Bi-? Languages.-
Software Descriptions.- The EMILE 4.1 Grammar Induction Toolbox.- Software
for Analysing Recurrent Neural Nets That Learn to Predict Non-regular
Languages.- A Framework for Inductive Learning of Typed-Unification
Grammars.- A Tool for Language Learning Based on Categorial Grammars and
Semantic Information.- NAIL: Artificial Intelligence Software for Learning
Natural Language.- Lyrebird:Developing Spoken Dialog Systems Using
Examples.- Implementing Alignment-Based Learning.
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