Topics In Grammatical Inference

Author : Jeffrey Heinz,José M. Sempere
Publisher : Springer
Page : 247 pages
File Size : 50,6 Mb
Release : 2016-05-04
Category : Computers
ISBN : 9783662483954

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Topics in Grammatical Inference by Jeffrey Heinz,José M. Sempere Pdf

This book explains advanced theoretical and application-related issues in grammatical inference, a research area inside the inductive inference paradigm for machine learning. The first three chapters of the book deal with issues regarding theoretical learning frameworks; the next four chapters focus on the main classes of formal languages according to Chomsky's hierarchy, in particular regular and context-free languages; and the final chapter addresses the processing of biosequences. The topics chosen are of foundational interest with relatively mature and established results, algorithms and conclusions. The book will be of value to researchers and graduate students in areas such as theoretical computer science, machine learning, computational linguistics, bioinformatics, and cognitive psychology who are engaged with the study of learning, especially of the structure underlying the concept to be learned. Some knowledge of mathematics and theoretical computer science, including formal language theory, automata theory, formal grammars, and algorithmics, is a prerequisite for reading this book.

Author : Arlindo L. Oliveira
Publisher : Springer
Page : 321 pages
File Size : 47,8 Mb
Release : 2004-02-13
Category : Computers
ISBN : 9783540452577

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Grammatical Inference: Algorithms and Applications by Arlindo L. Oliveira Pdf

This book constitutes the refereed proceedings of the 5th International Colloquium on Grammatical Inference, ICGI 2000, held in Lisbon, Portugal in September 2000. The 24 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers address topics like machine learning, automata, theoretical computer science, computational linguistics, pattern recognition, artificial neural networks, natural language acquisition, computational biology, information retrieval, text processing, and adaptive intelligent agents.

Author : José Sempere,Pedro García
Publisher : Springer
Page : 317 pages
File Size : 55,6 Mb
Release : 2010-09-09
Category : Computers
ISBN : 9783642154881

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Grammatical Inference: Theoretical Results and Applications by José Sempere,Pedro García Pdf

Annotation This book constitutes the refereed proceedings of the 10th International Colloquium on Grammatical Inference, ICGI 2010, held in Valencia, Spain, in September 2010. The 18 revised full papers and 14 revised short papers presented were carefully reviewed and selected from numerous submissions. The topics of the papers presented vary from theoretical results about the learning of different formal language classes (regular, context-free, context-sensitive, etc.) to application papers on bioinformatics, language modelling or software engineering. Furthermore there are two invited papers on the topics grammatical inference and games and molecules, languages, and automata.

Author : Jeffrey Heinz,Colin de la Higuera,Menno van Zaanen
Publisher : Morgan & Claypool Publishers
Page : 163 pages
File Size : 46,8 Mb
Release : 2015-10-01
Category : Computers
ISBN : 9781608459780

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Grammatical Inference for Computational Linguistics by Jeffrey Heinz,Colin de la Higuera,Menno van Zaanen Pdf

This book provides a thorough introduction to the subfield of theoretical computer science known as grammatical inference from a computational linguistic perspective. Grammatical inference provides principled methods for developing computationally sound algorithms that learn structure from strings of symbols. The relationship to computational linguistics is natural because many research problems in computational linguistics are learning problems on words, phrases, and sentences: What algorithm can take as input some finite amount of data (for instance a corpus, annotated or otherwise) and output a system that behaves "correctly" on specific tasks? Throughout the text, the key concepts of grammatical inference are interleaved with illustrative examples drawn from problems in computational linguistics. Special attention is paid to the notion of "learning bias." In the context of computational linguistics, such bias can be thought to reflect common (ideally universal) properties of natural languages. This bias can be incorporated either by identifying a learnable class of languages which contains the language to be learned or by using particular strategies for optimizing parameter values. Examples are drawn largely from two linguistic domains (phonology and syntax) which span major regions of the Chomsky Hierarchy (from regular to context-sensitive classes). The conclusion summarizes the major lessons and open questions that grammatical inference brings to computational linguistics.

Author : Colin de la Higuera
Publisher : Cambridge University Press
Page : 432 pages
File Size : 43,5 Mb
Release : 2010-04-01
Category : Computers
ISBN : 9781139486682

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Grammatical Inference by Colin de la Higuera Pdf

The problem of inducing, learning or inferring grammars has been studied for decades, but only in recent years has grammatical inference emerged as an independent field with connections to many scientific disciplines, including bio-informatics, computational linguistics and pattern recognition. This book meets the need for a comprehensive and unified summary of the basic techniques and results, suitable for researchers working in these various areas. In Part I, the objects of use for grammatical inference are studied in detail: strings and their topology, automata and grammars, whether probabilistic or not. Part II carefully explores the main questions in the field: What does learning mean? How can we associate complexity theory with learning? In Part III the author describes a number of techniques and algorithms that allow us to learn from text, from an informant, or through interaction with the environment. These concern automata, grammars, rewriting systems, pattern languages or transducers.

Author : Yasibumi Sakaibara,Satoshi Kobayashi,Kengo Sato,Tetsuro Nishino,Etsuji Tomita
Publisher : Springer
Page : 359 pages
File Size : 45,9 Mb
Release : 2006-11-28
Category : Computers
ISBN : 9783540452652

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Grammatical Inference: Algorithms and Applications by Yasibumi Sakaibara,Satoshi Kobayashi,Kengo Sato,Tetsuro Nishino,Etsuji Tomita Pdf

This book constitutes the refereed proceedings of the 8th International Colloquium on Grammatical Inference, ICGI 2006. The book presents 25 revised full papers and 8 revised short papers together with 2 invited contributions, carefully reviewed and selected. The topics discussed range from theoretical results of learning algorithms to innovative applications of grammatical inference and from learning several interesting classes of formal grammars to applications to natural language processing.

Author : Arlindo L. Oliveira
Publisher : Springer
Page : 316 pages
File Size : 41,6 Mb
Release : 2000-09-01
Category : Computers
ISBN : 3540410112

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Grammatical Inference: Algorithms and Applications by Arlindo L. Oliveira Pdf

This book constitutes the refereed proceedings of the 5th International Colloquium on Grammatical Inference, ICGI 2000, held in Lisbon, Portugal in September 2000. The 24 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers address topics like machine learning, automata, theoretical computer science, computational linguistics, pattern recognition, artificial neural networks, natural language acquisition, computational biology, information retrieval, text processing, and adaptive intelligent agents.

Author : Jeffrey Heinz,Colin de la Higuera,Menno van Zaanen
Publisher : Springer Nature
Page : 139 pages
File Size : 40,6 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9783031021596

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Grammatical Inference for Computational Linguistics by Jeffrey Heinz,Colin de la Higuera,Menno van Zaanen Pdf

This book provides a thorough introduction to the subfield of theoretical computer science known as grammatical inference from a computational linguistic perspective. Grammatical inference provides principled methods for developing computationally sound algorithms that learn structure from strings of symbols. The relationship to computational linguistics is natural because many research problems in computational linguistics are learning problems on words, phrases, and sentences: What algorithm can take as input some finite amount of data (for instance a corpus, annotated or otherwise) and output a system that behaves "correctly" on specific tasks? Throughout the text, the key concepts of grammatical inference are interleaved with illustrative examples drawn from problems in computational linguistics. Special attention is paid to the notion of "learning bias." In the context of computational linguistics, such bias can be thought to reflect common (ideally universal) properties of natural languages. This bias can be incorporated either by identifying a learnable class of languages which contains the language to be learned or by using particular strategies for optimizing parameter values. Examples are drawn largely from two linguistic domains (phonology and syntax) which span major regions of the Chomsky Hierarchy (from regular to context-sensitive classes). The conclusion summarizes the major lessons and open questions that grammatical inference brings to computational linguistics. Table of Contents: List of Figures / List of Tables / Preface / Studying Learning / Formal Learning / Learning Regular Languages / Learning Non-Regular Languages / Lessons Learned and Open Problems / Bibliography / Author Biographies

Author : Alexander Clark,François Coste,Laurent Miclet
Publisher : Springer Science & Business Media
Page : 314 pages
File Size : 46,6 Mb
Release : 2008-09-11
Category : Computers
ISBN : 9783540880080

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Grammatical Inference: Algorithms and Applications by Alexander Clark,François Coste,Laurent Miclet Pdf

This book constitutes the refereed proceedings of the 9th International Colloquium on Grammatical Inference, ICGI 2008, held in Saint-Malo, France, in September 2008. The 21 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 36 submissions. The topics of the papers presented vary from theoretical results of learning algorithms to innovative applications of grammatical inference, and from learning several interesting classes of formal grammars to applications to natural language processing.

Author : Georgios Paliouras,Yasubumi Sakakibara
Publisher : Springer Science & Business Media
Page : 300 pages
File Size : 43,9 Mb
Release : 2004-10-05
Category : Computers
ISBN : 9783540234104

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Grammatical Inference: Algorithms and Applications by Georgios Paliouras,Yasubumi Sakakibara Pdf

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.

Author : Laurent Miclet,Colin de la Higuera
Publisher : Unknown
Page : 344 pages
File Size : 50,7 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 3662200937

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Grammatical Inference by Laurent Miclet,Colin de la Higuera Pdf

Author : Laurent Miclet,Colin de la Higuera
Publisher : Springer Science & Business Media
Page : 340 pages
File Size : 43,5 Mb
Release : 1996-09-16
Category : Computers
ISBN : 3540617787

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Grammatical Inference: Learning Syntax from Sentences by Laurent Miclet,Colin de la Higuera Pdf

This book constitutes the refereed proceedings of the Third International Colloquium on Grammatical Inference, ICGI-96, held in Montpellier, France, in September 1996. The 25 revised full papers contained in the book together with two invited key papers by Magerman and Knuutila were carefully selected for presentation at the conference. The papers are organized in sections on algebraic methods and algorithms, natural language and pattern recognition, inference and stochastic models, incremental methods and inductive logic programming, and operational issues.

Author : José Sempere,Pedro García
Publisher : Springer Science & Business Media
Page : 328 pages
File Size : 55,8 Mb
Release : 2010-09-03
Category : Computers
ISBN : 9783642154874

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Grammatical Inference: Theoretical Results and Applications by José Sempere,Pedro García Pdf

This book constitutes the refereed proceedings of the 10th International Colloquium on Grammatical Inference, ICGI 2010, held in Valencia, Spain, in September 2010. The 18 revised full papers and 14 revised short papers presented were carefully reviewed and selected from numerous submissions. The topics of the papers presented vary from theoretical results about the learning of different formal language classes (regular, context-free, context-sensitive, etc.) to application papers on bioinformatics, language modelling or software engineering. Furthermore there are two invited papers on the topics grammatical inference and games and molecules, languages, and automata.

Author : Yasibumi Sakaibara,Satoshi Kobayashi,Kengo Sato,Tetsuro Nishino,Etsuji Tomita
Publisher : Springer
Page : 359 pages
File Size : 42,6 Mb
Release : 2009-09-02
Category : Computers
ISBN : 3540830685

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Grammatical Inference: Algorithms and Applications by Yasibumi Sakaibara,Satoshi Kobayashi,Kengo Sato,Tetsuro Nishino,Etsuji Tomita Pdf

This book constitutes the refereed proceedings of the 8th International Colloquium on Grammatical Inference, ICGI 2006. The book presents 25 revised full papers and 8 revised short papers together with 2 invited contributions, carefully reviewed and selected. The topics discussed range from theoretical results of learning algorithms to innovative applications of grammatical inference and from learning several interesting classes of formal grammars to applications to natural language processing.

Author : Wojciech Wieczorek
Publisher : Springer
Page : 145 pages
File Size : 43,7 Mb
Release : 2016-10-25
Category : Technology & Engineering
ISBN : 9783319468013

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Grammatical Inference by Wojciech Wieczorek Pdf

This book focuses on grammatical inference, presenting classic and modern methods of grammatical inference from the perspective of practitioners. To do so, it employs the Python programming language to present all of the methods discussed. Grammatical inference is a field that lies at the intersection of multiple disciplines, with contributions from computational linguistics, pattern recognition, machine learning, computational biology, formal learning theory and many others. divThough the book is largely practical, it also includes elements of learning theory, combinatorics on words, the theory of automata and formal languages, plus references to real-world problems. The listings presented here can be directly copied and pasted into other programs, thus making the book a valuable source of ready recipes for students, academic researchers, and programmers alike, as well as an inspiration for their further development.>