Grammatical Inference: Algorithms and Applications: 7th International Colloquium, ICGI 2004, Athens, Greece, October 11-13, 2004. Proceedings(3264 Lecture Notes in Computer Science)

This book constitutes the refereed proceedings of the 7th International Colloquium on Grammatical Inference, ICGI 2004, held in Athens, Greece in October 2004.The 20 revised full papers and 8 revised poster papers presented together with 3 invited contributions were carefully reviewed and selected from 45 submissions. The topics of the papers presented range from theoretical results of learning algorithms to innovative applications of grammatical inference and from learning several interesting classes of formal grammars to estimations of probabilistic grammars.

Table of Contents:
Invited Papers.- Learning and Mathematics.- Learning Finite-State Models for Machine Translation.- The Omphalos Context-Free Grammar Learning Competition.- Regular Papers.- Mutually Compatible and Incompatible Merges for the Search of the Smallest Consistent DFA.- Faster Gradient Descent Training of Hidden Markov Models, Using Individual Learning Rate Adaptation.- Learning Mild Context-Sensitiveness: Toward Understanding Children’s Language Learning.- Learnability of Pregroup Grammars.- A Markovian Approach to the Induction of Regular String Distributions.- Learning Node Selecting Tree Transducer from Completely Annotated Examples.- Identifying Clusters from Positive Data.- Introducing Domain and Typing Bias in Automata Inference.- Analogical Equations in Sequences: Definition and Resolution.- Representing Languages by Learnable Rewriting Systems.- A Divide-and-Conquer Approach to Acquire Syntactic Categories.- Grammatical Inference Using Suffix Trees.- Learning Stochastic Finite Automata.- Navigation Pattern Discovery Using Grammatical Inference.- A Corpus-Driven Context-Free Approximation of Head-Driven Phrase Structure Grammar.- Partial Learning Using Link Grammars Data.- eg-GRIDS: Context-Free Grammatical Inference from Positive Examples Using Genetic Search.- The Boisdale Algorithm – An Induction Method for a Subclass of Unification Grammar from Positive Data.- Learning Stochastic Deterministic Regular Languages.- Polynomial Time Identification of Strict Deterministic Restricted One-Counter Automata in Some Class from Positive Data.- Poster Papers.- Learning Syntax from Function Words.- Running FCRPNI in Efficient Time for Piecewise and Right Piecewise Testable Languages.- Extracting Minimum Length Document Type Definitions Is NP-Hard.- Learning DistinguishableLinear Grammars from Positive Data.- Extending Incremental Learning of Context Free Grammars in Synapse.- Identifying Left-Right Deterministic Linear Languages.- Efficient Learning of k-Reversible Context-Free Grammars from Positive Structural Examples.- An Analysis of Examples and a Search Space for PAC Learning of Simple Deterministic Languages with Membership Queries.