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Grammatical Inference


Grammatical Inference
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Grammatical Inference Algorithms And Applications


Grammatical Inference Algorithms And Applications
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Author : Arlindo L. Oliveira
language : en
Publisher: Springer
Release Date : 2004-02-13

Grammatical Inference Algorithms And Applications written by Arlindo L. Oliveira and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-02-13 with Computers categories.


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


Grammatical Inference
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Author : Colin de la Higuera
language : en
Publisher: Cambridge University Press
Release Date : 2010-04-01

Grammatical Inference written by Colin de la Higuera and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-01 with Computers categories.


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 For Computational Linguistics


Grammatical Inference For Computational Linguistics
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Author : Jeffrey Heinz
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2015-10-01

Grammatical Inference For Computational Linguistics written by Jeffrey Heinz and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-01 with Computers categories.


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.



Grammatical Inference


Grammatical Inference
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Author : Wojciech Wieczorek
language : en
Publisher: Springer
Release Date : 2016-10-25

Grammatical Inference written by Wojciech Wieczorek and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-25 with Technology & Engineering categories.


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 Algorithms And Applications


Grammatical Inference Algorithms And Applications
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Author : Georgios Paliouras
language : en
Publisher: Springer
Release Date : 2005-01-11

Grammatical Inference Algorithms And Applications written by Georgios Paliouras and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-11 with Computers categories.




Grammatical Inference Algorithms And Applications


Grammatical Inference Algorithms And Applications
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Author : Pieter Adriaans
language : en
Publisher: Springer
Release Date : 2003-08-02

Grammatical Inference Algorithms And Applications written by Pieter Adriaans and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-02 with Computers categories.


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 And Applications


Grammatical Inference And Applications
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Author : Rafael C. Carrasco
language : en
Publisher: Springer Science & Business Media
Release Date : 1994-09-07

Grammatical Inference And Applications written by Rafael C. Carrasco and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-09-07 with Computers categories.


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.



A Study Of Grammatical Inference


A Study Of Grammatical Inference
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Author : James J. Horning
language : en
Publisher:
Release Date : 1969

A Study Of Grammatical Inference written by James J. Horning and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Generative grammar categories.


Grammatical inference is an inductive process of discovering an acceptable grammar for a language, on the basis of finite samples from the language. The study has the goals of devising useful inference procedures and of demonstrating a sound formal basis for such procedures. It states the general grammatical inference problem for formal languages, reviews previous work, establishes definitions and notation, and states a position on evaluation measures. It indicates a solution for a particular class of grammatical inference problems, based on an assumed probabilistic structure. (Author).



Grammatical Inference Theoretical Results And Applications


Grammatical Inference Theoretical Results And Applications
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Author : José Sempere
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-03

Grammatical Inference Theoretical Results And Applications written by José Sempere and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-03 with Computers categories.


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


Grammatical Inference
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Author : Vasant Honavar
language : en
Publisher: Springer Science & Business Media
Release Date : 1998-07

Grammatical Inference written by Vasant Honavar and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-07 with Computers categories.


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.