Descriptional Complexity of Context-Free Grammar Forms

@article{CsuhajVarj1993DescriptionalCO,
  title={Descriptional Complexity of Context-Free Grammar Forms},
  author={Erzs{\'e}bet Csuhaj-Varj{\'u} and Alica Kelemenov{\'a}},
  journal={Theor. Comput. Sci.},
  year={1993},
  volume={112},
  pages={277-289}
}

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References

SHOWING 1-10 OF 15 REFERENCES

Complexity of Normal Form Grammars

On a classification of context-free languages

The set E of strings is said to be definable (strongly definable) if there is a context-free grammar G such that E is the set of all terminal strings generated from the initial symbol (from all non­

Grammatical Levels of the Position Restricted Grammars

Structural complexity of context-free languages is studied for the description of context-free languages by position restricted grammars.

Formal languages

  • A. Salomaa
  • Computer Science
    Computer science classics
  • 1987

Grammar and L forms: An introduction

  • D. Wood
  • Linguistics
    Lecture Notes in Computer Science
  • 1980
TLDR
A comparison study of context-free grammar forms for EOL and ETOL forms and their applications in education, research and teaching.

Structural complexity measures on grammar forms

  • Proc. Conf: on Automata, Lunguages and Proyramminy Systems
  • 1988