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A generalization of leftmost derivations

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Abstract

A generalization of leftmost derivation called depth-first derivation is defined. The main result, that the depth-first derivations of an arbitrary phrase-structure grammar generate a context-free language, is proved using a new technique in which families of equivalent depth-first derivations of one grammar are represented by single productions in a new grammar. This result is related to several others, including an analogous result for leftmost derivations, through the theorem of B. Baker [1] that every terminal-bounded grammar generates a context-free language.

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References

  1. B. Baker, Non-context-free grammars generating context-free languages,Information and Control 24 (1974), 231–246.

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  2. R. J. Evey, The theory and application of pushdown store machines,Harvard Univ. Comp. Lab. Report NSF-10, May 1963.

  3. S. Ginsburg,The Mathematical Theory of Context-Free Languages, McGraw Hill, New York, 1966.

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  4. S. Ginsburg andE. H. Spanier, Control sets on grammars,Mathematical Systems Theory 2 (1968), 159–177.

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  5. M. Luker, A characterization of the derivation-bounded languages (to be submitted for publication).

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Luker, M. A generalization of leftmost derivations. Math. Systems Theory 11, 317–325 (1977). https://doi.org/10.1007/BF01768484

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  • DOI: https://doi.org/10.1007/BF01768484

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