Grammatical Inference: Algorithms and Applications
Springer Berlin (Verlag)
978-3-540-44239-4 (ISBN)
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(TM):Developing Spoken Dialog Systems Using Examples.- Implementing Alignment-Based Learning.
Erscheint lt. Verlag | 11.9.2002 |
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Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
Zusatzinfo | X, 318 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 467 g |
Themenwelt | Informatik ► Theorie / Studium ► Compilerbau |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Algorithmic Learning • algorithms • Automat • Automata • Computational Linguistics • context-free grammars • context-free languages • Grammatical Inference • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • learning • Learning Algorithms • Linguistics • machine learning • NATURAL • natural language • Natural Language Processing • neural learning • pattern recognition • probabilistic grammars • Statistical Learning |
ISBN-10 | 3-540-44239-1 / 3540442391 |
ISBN-13 | 978-3-540-44239-4 / 9783540442394 |
Zustand | Neuware |
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