Grammatical Inference

Algorithms, Routines and Applications

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Reference & Language, Language Arts, Grammar, General Computing
Cover of the book Grammatical Inference by Wojciech Wieczorek, Springer International Publishing
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Author: Wojciech Wieczorek ISBN: 9783319468013
Publisher: Springer International Publishing Publication: October 25, 2016
Imprint: Springer Language: English
Author: Wojciech Wieczorek
ISBN: 9783319468013
Publisher: Springer International Publishing
Publication: October 25, 2016
Imprint: Springer
Language: English

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.>

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.>

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