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===Decidability===
===Decidability===
In formal language theory, questions about regular languages are always decidable, but ones about context-free languages are often not. It is decidable whether such a language is finite, but not whether it contains every possible string, is regular, is unambiguous, or is equivalent to a language with a different grammar.<ref>{{cite book|last=Wolfram|first=Stephen|title=A New Kind of Science|publisher=Wolfram Media, Inc.|year=2002|page=1138|isbn=1-57955-008-8}}</ref>

The following problems are [[Undecidable problem|undecidable]] for arbitrarily given [[context-free grammar]]s A and B:
The following problems are [[Undecidable problem|undecidable]] for arbitrarily given [[context-free grammar]]s A and B:
*Equivalence: is <math>L(A)=L(B)</math>?{{sfn|Hopcroft|Ullman|1979|p=203|loc=Theorem 8.12(1)}}
*Equivalence: is <math>L(A)=L(B)</math>?{{sfn|Hopcroft|Ullman|1979|p=203|loc=Theorem 8.12(1)}}

Revision as of 18:36, 4 April 2018

In

formal language theory, a context-free language (CFL) is a language generated by a context-free grammar
(CFG).

Context-free languages have many applications in

programming languages
, in particular, most arithmetic expressions are generated by context-free grammars.

Background

Context-free grammar

Different context-free grammars can generate the same context-free language. Intrinsic properties of the language can be distinguished from extrinsic properties of a particular grammar by comparing multiple grammars that describe the language.

Automata

The set of all context-free languages is identical to the set of languages accepted by

pushdown automata, which makes these languages amenable[how?
] to parsing. Further, for a given CFG, there is a direct way to produce a pushdown automaton for the grammar (and thereby the corresponding language), though going the other way (producing a grammar given an automaton) is not as direct.

Examples

A model context-free language is , the language of all non-empty even-length strings, the entire first halves of which are a's, and the entire second halves of which are b's. L is generated by the grammar . This language is not regular. It is accepted by the pushdown automaton where is defined as follows:[note 1]

Unambiguous CFLs are a proper subset of all CFLs: there are

inherently ambiguous
CFLs. An example of an inherently ambiguous CFL is the union of with . This set is context-free, since the union of two context-free languages is always context-free. But there is no way to unambiguously parse strings in the (non-context-free) subset which is the intersection of these two languages.[1]

Dyck language

The language of all properly matched parentheses is generated by the grammar .

Properties

Context-free parsing

The context-free nature of the language makes it simple to parse with a pushdown automaton.

Determining an instance of the membership problem; i.e. given a string , determine whether where is the language generated by a given grammar ; is also known as recognition. Context-free recognition for Chomsky normal form grammars was shown by Leslie G. Valiant to be reducible to boolean matrix multiplication, thus inheriting its complexity upper bound of O(n2.3728639).[2][3][note 2] Conversely, Lillian Lee has shown O(n3−ε) boolean matrix multiplication to be reducible to O(n3−3ε) CFG parsing, thus establishing some kind of lower bound for the latter.[4]

Practical uses of context-free languages require also to produce a derivation tree that exhibits the structure that the grammar associates with the given string. The process of producing this tree is called parsing. Known parsers have a time complexity that is cubic in the size of the string that is parsed.

Formally, the set of all context-free languages is identical to the set of languages accepted by pushdown automata (PDA). Parser algorithms for context-free languages include the CYK algorithm and Earley's Algorithm.

A special subclass of context-free languages are the deterministic context-free languages which are defined as the set of languages accepted by a deterministic pushdown automaton and can be parsed by a LR(k) parser.[5]

See also parsing expression grammar as an alternative approach to grammar and parser.

Closure

Context-free languages are closed under the following operations. That is, if L and P are context-free languages, the following languages are context-free as well:

  • the union of L and P
  • the reversal of L
  • the concatenation of L and P
  • the Kleene star of L
  • the image of L under a homomorphism
  • the image of L under an inverse homomorphism
  • the
    cyclic shift
    of L (the language )

Context-free languages are not closed under complement, intersection, or difference. This was proved by Scheinberg in 1960.[6] However, if L is a context-free language and D is a regular language then both their intersection and their difference are context-free languages.

Nonclosure under intersection, complement, and difference

The context-free languages are not closed under intersection. This can be seen by taking the languages and , which are both context-free.[note 3] Their intersection is , which can be shown to be non-context-free by the pumping lemma for context-free languages.

Context-free languages are also not closed under complementation, as for any languages A and B: .

Context-free language are also not closed under difference: LC = Σ* \ L.[6]

Decidability

In formal language theory, questions about regular languages are always decidable, but ones about context-free languages are often not. It is decidable whether such a language is finite, but not whether it contains every possible string, is regular, is unambiguous, or is equivalent to a language with a different grammar.[7]

The following problems are undecidable for arbitrarily given context-free grammars A and B:

  • Equivalence: is ?[8]
  • Disjointness: is  ?[9] However, the intersection of a context-free language and a regular language is context-free,[10][11] hence the variant of the problem where B is a regular grammar is decidable (see "Emptiness" below).
  • Containment: is  ?[12] Again, the variant of the problem where B is a regular grammar is decidable,[citation needed] while that where A is regular is generally not.[13]
  • Universality: is  ?[14]

The following problems are decidable for arbitrary context-free languages:

  • Emptiness: Given a context-free grammar A, is  ?[15]
  • Finiteness: Given a context-free grammar A, is finite?[16]
  • Membership: Given a context-free grammar G, and a word , does  ? Efficient polynomial-time algorithms for the membership problem are the CYK algorithm and Earley's Algorithm.

According to Hopcroft, Motwani, Ullman (2003),[17] many of the fundamental closure and (un)decidability properties of context-free languages were shown in the 1961 paper of Bar-Hillel, Perles, and Shamir[18]

Languages that are not context-free

The set is a context-sensitive language, but there does not exist a context-free grammar generating this language.[19] So there exist context-sensitive languages which are not context-free. To prove that a given language is not context-free, one may employ the pumping lemma for context-free languages[18] or a number of other methods, such as Ogden's lemma or Parikh's theorem.[20]

Notes

  1. ^ meaning of 's arguments and results:
  2. Coppersmith–Winograd algorithm
    for bound improvements since then.
  3. ^ A context-free grammar for the language A is given by the following production rules, taking S as the start symbol: SSc | aTb | ε; TaTb | ε. The grammar for B is analogous.

References

  1. ^ Hopcroft & Ullman 1979, p. 100, Theorem 4.7.
  2. ^ Leslie Valiant (Jan 1974). General context-free recognition in less than cubic time (Technical report). Carnegie Mellon University. p. 11.
  3. .
  4. .
  5. doi:10.1016/S0019-9958(65)90426-2. Retrieved 29 May 2011. {{cite journal}}: Invalid |ref=harv (help
    )
  6. ^ a b Stephen Scheinberg, Note on the Boolean Properties of Context Free Languages, Information and Control, 3, 372-375 (1960)
  7. .
  8. ^ Hopcroft & Ullman 1979, p. 203, Theorem 8.12(1).
  9. ^ Hopcroft & Ullman 1979, p. 202, Theorem 8.10.
  10. ^ Salomaa (1973), p. 59, Theorem 6.7
  11. ^ Hopcroft & Ullman 1979, p. 135, Theorem 6.5.
  12. ^ Hopcroft & Ullman 1979, p. 203, Theorem 8.12(2).
  13. ^ Hopcroft & Ullman 1979, p. 203, Theorem 8.12(4).
  14. ^ Hopcroft & Ullman 1979, p. 203, Theorem 8.11.
  15. ^ Hopcroft & Ullman 1979, p. 137, Theorem 6.6(a).
  16. ^ Hopcroft & Ullman 1979, p. 137, Theorem 6.6(b).
  17. ^ John E. Hopcroft; Rajeev Motwani; Jeffrey D. Ullman (2003). Introduction to Automata Theory, Languages, and Computation. Addison Wesley. Here: Sect.7.6, p.304, and Sect.9.7, p.411
  18. ^ a b Yehoshua Bar-Hillel; Micha Asher Perles; Eli Shamir (1961). "On Formal Properties of Simple Phrase-Structure Grammars". Zeitschrift für Phonetik, Sprachwissenschaft und Kommunikationsforschung. 14 (2): 143–172.
  19. ^ Hopcroft & Ullman 1979.
  20. ^ How to prove that a language is not context-free?