Grammatical Inference For Computational Linguistics

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Grammatical Inference for Computational Linguistics

Author : Jeffrey Heinz,Colin de la Higuera,Menno van Zaanen
Publisher : Springer Nature
Page : 139 pages
File Size : 52,5 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

Grammatical Inference: Algorithms and Applications

Author : Arlindo L. Oliveira
Publisher : Springer
Page : 316 pages
File Size : 40,8 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.

Grammatical Inference

Author : Wojciech Wieczorek
Publisher : Springer
Page : 145 pages
File Size : 53,6 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.>

Grammatical Inference

Author : Colin de la Higuera
Publisher : Cambridge University Press
Page : 432 pages
File Size : 46,5 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.

Grammatical Inference: Algorithms and Applications

Author : Arlindo L. Oliveira
Publisher : Springer
Page : 316 pages
File Size : 48,8 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.

Topics in Grammatical Inference

Author : Jeffrey Heinz,José M. Sempere
Publisher : Springer
Page : 247 pages
File Size : 47,8 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.

Grammatical Inference: Algorithms and Applications

Author : Pieter Adriaans,Henning Fernau,Menno van Zaanen
Publisher : Springer
Page : 318 pages
File Size : 44,7 Mb
Release : 2003-08-02
Category : Computers
ISBN : 9783540457909

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Grammatical Inference: Algorithms and Applications by Pieter Adriaans,Henning Fernau,Menno van Zaanen Pdf

The Sixth International Colloquium on Grammatical Inference (ICGI2002) was held in Amsterdam on September 23-25th, 2002. ICGI2002 was the sixth in a series of successful biennial international conferenceson the area of grammatical inference. Previous meetings were held in Essex, U.K.; Alicante, Spain; Mo- pellier, France; Ames, Iowa, USA; Lisbon, Portugal. This series of meetings seeks to provide a forum for the presentation and discussion of original research on all aspects of grammatical inference. Gr- matical inference, the process of inferring grammars from given data, is a ?eld that not only is challenging from a purely scienti?c standpoint but also ?nds many applications in real-world problems. Despite the fact that grammatical inference addresses problems in a re- tively narrow area, it uses techniques from many domains, and is positioned at the intersection of a number of di?erent disciplines. 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. From a practical standpoint, applications in areas like natural language - quisition, computational biology, structural pattern recognition, information - trieval, text processing, data compression and adaptive intelligent agents have either been demonstrated or proposed in the literature. The technical program included the presentation of 23 accepted papers (out of 41 submitted). Moreover, for the ?rst time a software presentation was or- nized at ICGI. Short descriptions of the corresponding software are included in these proceedings, too.

Grammatical Inference

Author : Vasant Honavar
Publisher : Springer Science & Business Media
Page : 292 pages
File Size : 40,9 Mb
Release : 1998-07
Category : Computers
ISBN : 3540647767

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Grammatical Inference by Vasant Honavar Pdf

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.

Grammatical Inference and Applications

Author : Rafael C. Carrasco,Jose Oncina
Publisher : Springer Science & Business Media
Page : 308 pages
File Size : 54,6 Mb
Release : 1994-09-07
Category : Computers
ISBN : 3540584730

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Grammatical Inference and Applications by Rafael C. Carrasco,Jose Oncina Pdf

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.

Grammatical Inference: Algorithms and Applications

Author : Pieter Adriaans,Henning Fernau,Menno van Zaanen
Publisher : Springer
Page : 318 pages
File Size : 41,5 Mb
Release : 2002-09-11
Category : Computers
ISBN : 3540442391

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Grammatical Inference: Algorithms and Applications by Pieter Adriaans,Henning Fernau,Menno van Zaanen Pdf

The Sixth International Colloquium on Grammatical Inference (ICGI2002) was held in Amsterdam on September 23-25th, 2002. ICGI2002 was the sixth in a series of successful biennial international conferenceson the area of grammatical inference. Previous meetings were held in Essex, U.K.; Alicante, Spain; Mo- pellier, France; Ames, Iowa, USA; Lisbon, Portugal. This series of meetings seeks to provide a forum for the presentation and discussion of original research on all aspects of grammatical inference. Gr- matical inference, the process of inferring grammars from given data, is a ?eld that not only is challenging from a purely scienti?c standpoint but also ?nds many applications in real-world problems. Despite the fact that grammatical inference addresses problems in a re- tively narrow area, it uses techniques from many domains, and is positioned at the intersection of a number of di?erent disciplines. 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. From a practical standpoint, applications in areas like natural language - quisition, computational biology, structural pattern recognition, information - trieval, text processing, data compression and adaptive intelligent agents have either been demonstrated or proposed in the literature. The technical program included the presentation of 23 accepted papers (out of 41 submitted). Moreover, for the ?rst time a software presentation was or- nized at ICGI. Short descriptions of the corresponding software are included in these proceedings, too.

State of the Art on Grammatical Inference Using Evolutionary Method

Author : Hari Mohan Pandey
Publisher : Academic Press
Page : 230 pages
File Size : 45,8 Mb
Release : 2021-11-13
Category : Science
ISBN : 9780128221549

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State of the Art on Grammatical Inference Using Evolutionary Method by Hari Mohan Pandey Pdf

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: Learning Syntax from Sentences

Author : Laurent Miclet,Colin de la Higuera
Publisher : Springer Science & Business Media
Page : 340 pages
File Size : 46,6 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.

Constraint-based Grammar Formalisms

Author : Stuart M. Shieber
Publisher : MIT Press
Page : 212 pages
File Size : 47,8 Mb
Release : 1992
Category : Computers
ISBN : 0262193248

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Constraint-based Grammar Formalisms by Stuart M. Shieber Pdf

Constraint-Based Grammar Formalisms provides the first rigorous mathematical and computational basis for this important area.

Grammatical Inference and Applications

Author : Rafael C. Carrasco,Jose Oncina
Publisher : Unknown
Page : 308 pages
File Size : 41,6 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 3662168820

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Grammatical Inference and Applications by Rafael C. Carrasco,Jose Oncina Pdf

Logical Aspects of Computational Linguistics

Author : Sylvain Pogodalla,Jean-Philippe Prost
Publisher : Springer Science & Business Media
Page : 291 pages
File Size : 54,5 Mb
Release : 2011-06-22
Category : Computers
ISBN : 9783642222207

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Logical Aspects of Computational Linguistics by Sylvain Pogodalla,Jean-Philippe Prost Pdf

This book constitutes the refereed proceedings of the 6th International Conference on Logical Aspects of Computational Linguistics, LACL 2011, held in Montpellier, France, in June/July 2011. The 18 revised full papers presented were carefully reviewed and selected from 31 submissions. The papers address a wide range of logical and formal methods in computational linguistics such as type-theoretic grammars, dependency grammars, formal language theory, grammatical inference, minimalism, generation, and lexical and formal semantics.