Chomsky–Schützenberger representation theorem

In formal language theory, the Chomsky–Schützenberger representation theorem is a theorem derived by Noam Chomsky and Marcel-Paul Schützenberger in 1959[1] about representing a given context-free language in terms of two simpler languages. These two simpler languages, namely a regular language and a Dyck language, are combined by means of an intersection and a homomorphism.

The theorem Proofs of this theorem are found in several textbooks, e.g. Autebert, Berstel & Boasson (1997) or Davis, Sigal & Weyuker (1994).

Mathematics

Notation

A few notions from formal language theory are in order.

A context-free language is regular, if it can be described by a regular expression, or, equivalently, if it is accepted by a finite automaton.

A homomorphism is based on a function which maps symbols from an alphabet to words over another alphabet ; If the domain of this function is extended to words over in the natural way, by letting for all words and , this yields a homomorphism .

A matched alphabet is an alphabet with two equal-sized sets; it is convenient to think of it as a set of parentheses types, where contains the opening parenthesis symbols, whereas the symbols in contains the closing parenthesis symbols. For a matched alphabet , the typed Dyck language is given by

For example, the following is a valid sentence in the 3-typed Dyck language:

( [ [ ] { } ] ( ) { ( ) } )

Theorem

A language L over the alphabet is context-free if and only if there exists

  • a matched alphabet
  • a regular language over ,
  • and a homomorphism
such that .

We can interpret this as saying that any CFG language can be generated by first generating a typed Dyck language, filtering it by a regular grammar, and finally converting each bracket into a word in the CFG language.

References

  1. ^ Chomsky, N.; Schützenberger, M. P. (1959-01-01), Braffort, P.; Hirschberg, D. (eds.), "The Algebraic Theory of Context-Free Languages*", Studies in Logic and the Foundations of Mathematics, Computer Programming and Formal Systems, vol. 26, Elsevier, pp. 118–161, doi:10.1016/S0049-237X(09)70104-1, ISBN 978-0-444-53391-3, retrieved 2024-09-28