Modern Language Models and Computation
Theory with Applications
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This textbook also represents the first systematic treatment of modern language models for computation. It covers all essential theoretical topics concerning them. From a practical viewpoint, it describes various concepts, methods, algorithms, techniques, and software units based upon these models. Based upon them, it describes several applications in biology, linguistics, and computer science.
Advanced-level students studying computer science, mathematics, linguistics and biology will find this textbook a valuable resource. Theoreticians, practitioners and researchers working in today's theory of computation and its applications will also find this book essential as a reference.
Abstract.- Acknowledgments.- Preface.- Mathematical Background.- Classical Rewriting in Language Theory: Basics.- Regulated Generation.- Parallel Generation.- Jumping Generation.- Alternative Generation Based on Algebraic Restrictions.- Regulated Acceptance.- Jumping Acceptance.- Acceptance with Deep Pushdowns.- Alternative Acceptance Based on Algebraic Restrictions.- Generation of Languages by Automata.- Language Multigeneration by Grammar Systems.- Applications and Their Perspectives in General.- Applications in Linguistics.- Applications in Biology.- Concluding and Bibliographical Remarks.- Bibliography.- Index to Special Symbols.- Index to Language Famiolies and Their Models.- Subject Index.
Ondrej Soukup received his PhD from the Brno University of Technology in 2017 under the supervision of Alexander Meduna. He has published several studies on modern language models in such distinguished computer science journals as Fundamenta Informatica, International Journal of Foundations of Computer Science, and Theoretical Computer Science.