Grammatical Inference

Algorithms, Routines and Applications

  • Wojciech¬†Wieczorek

Part of the Studies in Computational Intelligence book series (SCI, volume 673)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Wojciech Wieczorek
    Pages 1-17
  3. Wojciech Wieczorek
    Pages 19-31
  4. Wojciech Wieczorek
    Pages 33-46
  5. Wojciech Wieczorek
    Pages 47-56
  6. Wojciech Wieczorek
    Pages 57-68
  7. Wojciech Wieczorek
    Pages 69-76
  8. Wojciech Wieczorek
    Pages 83-110
  9. Back Matter
    Pages 111-145

About this book

Introduction

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. 

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.>

Keywords

Grammar Induction Greedy Algorithms Computational Intelligence Grammatical Inference Python Grammar Checker Genetic Algorithms Iron Phyton

Authors and affiliations

  • Wojciech¬†Wieczorek
    • 1
  1. 1.Institute of Computer ScienceUniversity of Silesia Faculty of Computer Science and Materials ScienceSosnowiecPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-46801-3
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-46800-6
  • Online ISBN 978-3-319-46801-3
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book