Topics In Grammatical Inference

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Topics in Grammatical Inference

Author : Jeffrey Heinz
Publisher : Springer
ISBN 13 : 3662483955
Total Pages : 258 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Topics in Grammatical Inference by : Jeffrey Heinz

Download or read book Topics in Grammatical Inference written by Jeffrey Heinz and published by Springer. This book was released on 2016-05-04 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Grammatical Inference

Author : Colin de la Higuera
Publisher : Cambridge University Press
ISBN 13 : 1139486683
Total Pages : 432 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Grammatical Inference by : Colin de la Higuera

Download or read book Grammatical Inference written by Colin de la Higuera and published by Cambridge University Press. This book was released on 2010-04-01 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Grammatical Inference: Algorithms and Applications

Author : Arlindo L. Oliveira
Publisher : Springer
ISBN 13 : 3540452575
Total Pages : 321 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Grammatical Inference: Algorithms and Applications by : Arlindo L. Oliveira

Download or read book Grammatical Inference: Algorithms and Applications written by Arlindo L. Oliveira and published by Springer. This book was released on 2004-02-13 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

State of the Art on Grammatical Inference Using Evolutionary Method

Author : Hari Mohan Pandey
Publisher : Elsevier
ISBN 13 : 012822116X
Total Pages : 228 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis State of the Art on Grammatical Inference Using Evolutionary Method by : Hari Mohan Pandey

Download or read book State of the Art on Grammatical Inference Using Evolutionary Method written by Hari Mohan Pandey and published by Elsevier. This book was released on 2021-11-17 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: State of the Art on Grammatical Inference Using Evolutionary Method presents an approach for grammatical inference (GI) using evolutionary algorithms. Grammatical inference deals with the standard learning procedure to acquire grammars based on evidence about the language. It has been extensively studied due to its high importance in various fields of engineering and science. The book's prime purpose is to enhance the current state-of-the-art of grammatical inference methods and present new evolutionary algorithms-based approaches for context free grammar induction. The book's focus lies in the development of robust genetic algorithms for context free grammar induction. The new algorithms discussed in this book incorporate Boolean-based operators during offspring generation within the execution of the genetic algorithm. Hence, the user has no limitation on utilizing the evolutionary methods for grammatical inference. Discusses and summarizes the latest developments in Grammatical Inference, with a focus on Evolutionary Methods Provides an understanding of premature convergence as well as genetic algorithms Presents a performance analysis of genetic algorithms as well as a complete look into the wide range of applications of Grammatical Inference methods Demonstrates how to develop a robust experimental environment to conduct experiments using evolutionary methods and algorithms

Grammatical Inference for Computational Linguistics

Author : Jeffrey Heinz
Publisher : Springer Nature
ISBN 13 : 3031021592
Total Pages : 139 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Grammatical Inference for Computational Linguistics by : Jeffrey Heinz

Download or read book Grammatical Inference for Computational Linguistics written by Jeffrey Heinz and published by Springer Nature. This book was released on 2022-06-01 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Grammatical Inference: Theoretical Results and Applications

Author : José Sempere
Publisher : Springer Science & Business Media
ISBN 13 : 3642154875
Total Pages : 328 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Grammatical Inference: Theoretical Results and Applications by : José Sempere

Download or read book Grammatical Inference: Theoretical Results and Applications written by José Sempere and published by Springer Science & Business Media. This book was released on 2010-09-03 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Grammatical Inference

Author : Wojciech Wieczorek
Publisher : Springer
ISBN 13 : 3319468014
Total Pages : 152 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Grammatical Inference by : Wojciech Wieczorek

Download or read book Grammatical Inference written by Wojciech Wieczorek and published by Springer. This book was released on 2016-10-25 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.>

Constraint-based Grammar Formalisms

Author : Stuart M. Shieber
Publisher : MIT Press
ISBN 13 : 9780262193245
Total Pages : 212 pages
Book Rating : 4.1/5 (932 download)

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Book Synopsis Constraint-based Grammar Formalisms by : Stuart M. Shieber

Download or read book Constraint-based Grammar Formalisms written by Stuart M. Shieber and published by MIT Press. This book was released on 1992 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constraint-Based Grammar Formalisms provides the first rigorous mathematical and computational basis for this important area.

Imagination and Convention

Author : Ernest LePore
Publisher :
ISBN 13 : 0198717180
Total Pages : 305 pages
Book Rating : 4.1/5 (987 download)

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Book Synopsis Imagination and Convention by : Ernest LePore

Download or read book Imagination and Convention written by Ernest LePore and published by . This book was released on 2015 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do hearers manage to understand speakers? And how do speakers manage to shape hearers' understanding? Lepore and Stone show that standard views about the workings of semantics and pragmatics are unsatisfactory. They advance an alternative view which better captures what is going on in linguistic communication.

Grammatical Inference

Author : Vasant Honavar
Publisher : Springer Science & Business Media
ISBN 13 : 9783540647768
Total Pages : 292 pages
Book Rating : 4.6/5 (477 download)

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Book Synopsis Grammatical Inference by : Vasant Honavar

Download or read book Grammatical Inference written by Vasant Honavar and published by Springer Science & Business Media. This book was released on 1998-07 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Fourth International Colloquium on Grammatical Inference, ICGI-98, held in Ames, Iowa, in July 1998. The 23 revised full papers were carefully reviewed and selected for inclusion in the book from a total of 35 submissions. The book addresses a wide range of grammatical inference theory such as automata induction, grammar induction, automatic language acquisition, etc. as well as a variety of applications in areas like syntactic pattern recognition, adaptive intelligent agents, diagnosis, computational biology, data mining, and knowledge discovery.

Inference and Generalizability in Applied Linguistics

Author : Micheline Chalhoub-Deville
Publisher : John Benjamins Publishing
ISBN 13 : 9027293686
Total Pages : 256 pages
Book Rating : 4.0/5 (272 download)

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Book Synopsis Inference and Generalizability in Applied Linguistics by : Micheline Chalhoub-Deville

Download or read book Inference and Generalizability in Applied Linguistics written by Micheline Chalhoub-Deville and published by John Benjamins Publishing. This book was released on 2006-03-24 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concepts such as dependability/generalization and inferences are dealt with implicitly or explicitly in any research undertaken in applied linguistics. This volume provides a well-balanced and cross-disciplinary perspective on how researchers conceptualize inferences about learner acquisition and performances as well as dependability and generalizability of findings. The book is a collection of chapters by prominent researchers in applied linguistics, working in diverse domains such as vocabulary, syntax, discourse analysis, SLA, and language testing. The goal of the book is to bring attention to these issues, which underpin much of applied linguistics research and to highlight what is considered good practice so as to buttress confidence in the research claims made. The book represents current thinking on fundamental research concepts in applied linguistics and can be used as a textbook in courses on research methodology in applied linguistics. The book is also an excellent source of in-depth analysis of research conceptualization for applied linguistics researchers and graduate students.

Information Theory, Inference and Learning Algorithms

Author : David J. C. MacKay
Publisher : Cambridge University Press
ISBN 13 : 9780521642989
Total Pages : 694 pages
Book Rating : 4.6/5 (429 download)

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Book Synopsis Information Theory, Inference and Learning Algorithms by : David J. C. MacKay

Download or read book Information Theory, Inference and Learning Algorithms written by David J. C. MacKay and published by Cambridge University Press. This book was released on 2003-09-25 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.

Grammatical Inference: Algorithms and Applications

Author : Yasibumi Sakaibara
Publisher : Springer
ISBN 13 : 3540452656
Total Pages : 370 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Grammatical Inference: Algorithms and Applications by : Yasibumi Sakaibara

Download or read book Grammatical Inference: Algorithms and Applications written by Yasibumi Sakaibara and published by Springer. This book was released on 2006-11-28 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Experimental Pragmatics

Author : Ira Noveck
Publisher : Cambridge University Press
ISBN 13 : 1107084903
Total Pages : 281 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Experimental Pragmatics by : Ira Noveck

Download or read book Experimental Pragmatics written by Ira Noveck and published by Cambridge University Press. This book was released on 2018-10-11 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains the phenomena, theoretical debates, experiments and historical development of experimental pragmatics, which investigates how utterances communicate a speaker's intended meaning.

Representation and Inference for Natural Language

Author : Patrick Blackburn
Publisher : Center for the Study of Language and Information Publica Tion
ISBN 13 : 9781575864969
Total Pages : 0 pages
Book Rating : 4.8/5 (649 download)

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Book Synopsis Representation and Inference for Natural Language by : Patrick Blackburn

Download or read book Representation and Inference for Natural Language written by Patrick Blackburn and published by Center for the Study of Language and Information Publica Tion. This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can computers distinguish the coherent from the unintelligible, recognize new information in a sentence, or draw inferences from a natural language passage? Computational semantics is an exciting new field that seeks answers to these questions, and this volume is the first textbook wholly devoted to this growing subdiscipline. The book explains the underlying theoretical issues and fundamental techniques for computing semantic representations for fragments of natural language. This volume will be an essential text for computer scientists, linguists, and anyone interested in the development of computational semantics.

Information-theoretic causal inference of lexical flow

Author : Johannes Dellert
Publisher : Language Science Press
ISBN 13 : 3961101434
Total Pages : 385 pages
Book Rating : 4.9/5 (611 download)

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Book Synopsis Information-theoretic causal inference of lexical flow by : Johannes Dellert

Download or read book Information-theoretic causal inference of lexical flow written by Johannes Dellert and published by Language Science Press. This book was released on 2019 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume seeks to infer large phylogenetic networks from phonetically encoded lexical data and contribute in this way to the historical study of language varieties. The technical step that enables progress in this case is the use of causal inference algorithms. Sample sets of words from language varieties are preprocessed into automatically inferred cognate sets, and then modeled as information-theoretic variables based on an intuitive measure of cognate overlap. Causal inference is then applied to these variables in order to determine the existence and direction of influence among the varieties. The directed arcs in the resulting graph structures can be interpreted as reflecting the existence and directionality of lexical flow, a unified model which subsumes inheritance and borrowing as the two main ways of transmission that shape the basic lexicon of languages. A flow-based separation criterion and domain-specific directionality detection criteria are developed to make existing causal inference algorithms more robust against imperfect cognacy data, giving rise to two new algorithms. The Phylogenetic Lexical Flow Inference (PLFI) algorithm requires lexical features of proto-languages to be reconstructed in advance, but yields fully general phylogenetic networks, whereas the more complex Contact Lexical Flow Inference (CLFI) algorithm treats proto-languages as hidden common causes, and only returns hypotheses of historical contact situations between attested languages. The algorithms are evaluated both against a large lexical database of Northern Eurasia spanning many language families, and against simulated data generated by a new model of language contact that builds on the opening and closing of directional contact channels as primary evolutionary events. The algorithms are found to infer the existence of contacts very reliably, whereas the inference of directionality remains difficult. This currently limits the new algorithms to a role as exploratory tools for quickly detecting salient patterns in large lexical datasets, but it should soon be possible for the framework to be enhanced e.g. by confidence values for each directionality decision.

Grammatical Inference and Applications

Author : Rafael C. Carrasco
Publisher : Springer Science & Business Media
ISBN 13 : 9783540584735
Total Pages : 308 pages
Book Rating : 4.5/5 (847 download)

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Book Synopsis Grammatical Inference and Applications by : Rafael C. Carrasco

Download or read book Grammatical Inference and Applications written by Rafael C. Carrasco and published by Springer Science & Business Media. This book was released on 1994-09-07 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the Second International Colloquium on Grammatical Inference (ICGI-94), held in Alicante, Spain in September 1994. Besides 25 research papers carefully selected and refereed by the program committee, the book contains a survey by E. Vidal. The book is devoted to all those aspects of automatic learning that explicitly focus on principles, theory, and applications of grammars and languages. The papers are organized in sections on formal aspects; language modelling and linguistic applications; stochastic approaches, applications and performance analysis; and neural networks, genetic algorithms, and artificial intelligence techniques.