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Formal Languages and Applications

"Formal Languages and Applications" provides an overall course-aid and self-study material for graduates students and researchers in formal language theory and its applications. The main results and techniques are presented in an easily accessible way accompanied with many references and d...

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Bibliographic Details
Other Authors: Martin-Vide, Carlos (Editor), Mitrana, Victor (Editor), Păun, Gheorghe (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2004, 2004
Edition:1st ed. 2004
Series:Studies in Fuzziness and Soft Computing
Subjects:
Compilers (computer Programs)
Compilers And Interpreters
Engineering Mathematics
Mathematical Logic
Artificial Intelligence
Engineering / Data Processing
Natural Language Processing (nlp)
Applications Of Mathematics
Mathematical Logic And Foundations
Mathematics
Mathematical And Computational Engineering Applications
Natural Language Processing (computer Science)
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 1. Basic Notation and Terminology
  • 2. Formal Languages: Foundations, Prehistory, Sources, and Applications
  • 3. Finite Automata
  • 4. Regular Grammars and Languages
  • 5. Context-Free Languages
  • 6. Pushdown Automata
  • 7. On Context-Sensitive Grammars
  • 8. Mildly Context-Sensitive Grammars
  • 9. Parallel Grammars. A Short Phenomenology
  • 10. Equational Axioms for a Theory of Automata
  • 11. Turing Machines: Universality and Limits of Computational Power
  • 12. Computational Complexity
  • 13. Grammars With Regulated Rewriting
  • 14. Grammar Systems
  • 15. Eco-Grammar Systems
  • 16. Miracles, Colonies, and Emergence
  • 17. Marcus Contextual Grammars
  • 18. Patterns
  • 19. Combinatorics on Words
  • 20. Combinatorics on Infinite Words
  • 21. Finite Tree Automata and Regular Tree Automata. An Introduction
  • 22. Two-Dimensional Languages
  • 23. String Models and String Theories
  • 24. Developmental Languages Versus DNA Computing
  • 25. Membrane Computing
  • 26. Dialogues on Quantum Computing
  • 27. Grammatical Inference and Learning
  • 28. Tabular Parsing
  • 29. Weighted Finite-State Transducer Algorithms. An Overview
  • 30. Text Searching: Theory and Practice
  • 31. Cryptography: Basic Theory and Practice

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