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Author : Laurent Miclet
Publisher :
ISBN 13 : 9783662200933
Total Pages : 344 pages
Book Rating : 4.37/5 ( download)
Download or read book Grammatical Inference written by Laurent Miclet and published by . This book was released on 2014-01-15 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Laurent Miclet
Publisher : Springer Science & Business Media
ISBN 13 : 9783540617785
Total Pages : 340 pages
Book Rating : 4.87/5 ( download)
Download or read book Grammatical Inference: Learning Syntax from Sentences written by Laurent Miclet and published by Springer Science & Business Media. This book was released on 1996-09-16 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Pieter Adriaans
Publisher : Springer
ISBN 13 : 3540457909
Total Pages : 325 pages
Book Rating : 4.09/5 ( download)
Download or read book Grammatical Inference: Algorithms and Applications written by Pieter Adriaans and published by Springer. This book was released on 2003-08-02 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Jeffrey Heinz
Publisher : Springer Nature
ISBN 13 : 3031021592
Total Pages : 139 pages
Book Rating : 4.96/5 ( download)
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
Author : Georgios Paliouras
Publisher : Springer
ISBN 13 : 354030195X
Total Pages : 300 pages
Book Rating : 4.50/5 ( download)
Download or read book Grammatical Inference: Algorithms and Applications written by Georgios Paliouras and published by Springer. This book was released on 2005-01-11 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Colin de la Higuera
Publisher : Cambridge University Press
ISBN 13 : 1139486683
Total Pages : 432 pages
Book Rating : 4.82/5 ( download)
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.
Author : Vasant Honavar
Publisher : Springer Science & Business Media
ISBN 13 : 9783540647768
Total Pages : 292 pages
Book Rating : 4.67/5 ( download)
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.
Author : Arlindo L. Oliveira
Publisher : Springer
ISBN 13 : 3540452575
Total Pages : 321 pages
Book Rating : 4.77/5 ( download)
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.
Author : Noam Chomsky
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3112316002
Total Pages : 120 pages
Book Rating : 4.09/5 ( download)
Download or read book Syntactic Structures written by Noam Chomsky and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-05-18 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: No detailed description available for "Syntactic Structures".
Author : Pieter Adriaans
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.73/5 ( download)
Download or read book Grammatical Inference written by Pieter Adriaans and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
