The Sixth International Colloquium on Grammatical Inference (ICGI2002) was held in Amsterdam on September 23-25th, 2002. 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.

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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