Overview
- Presents classic and modern methods of grammatical inference from the perspective of practitioners
- Offers a valuable source of ready recipes for students, academic researchers, and programmers alike, as well as an inspiration for their further development
- Presents all methods using the Python programming language
- Though practically oriented, also includes elements of learning theory, combinatorics on words, the theory of automata, and formal languages, plus references to real-world problems
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 673)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Though 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.>
Authors and Affiliations
Bibliographic Information
Book Title: Grammatical Inference
Book Subtitle: Algorithms, Routines and Applications
Authors: Wojciech Wieczorek
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-46801-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-46800-6Published: 22 November 2016
Softcover ISBN: 978-3-319-83589-1Published: 29 April 2018
eBook ISBN: 978-3-319-46801-3Published: 25 October 2016
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XI, 145
Number of Illustrations: 18 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Grammar, Natural Language Processing (NLP), Pattern Recognition, Natural Language Processing (NLP)