Context-free language

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Template:Short description Template:Use dmy dates In formal language theory, a context-free language (CFL), also called a Chomsky type-2 language, 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 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

An example context-free language is L={anbn:n1}, the language of all non-empty even-length strings, the entire first halves of which are Template:Mvar's, and the entire second halves of which are Template:Mvar's. Template:Mvar is generated by the grammar SaSb|ab. This language is not regular. It is accepted by the pushdown automaton M=({q0,q1,qf},{a,b},{a,z},δ,q0,z,{qf}) where δ is defined as follows:[note 1]

δ(q0,a,z)=(q0,az)δ(q0,a,a)=(q0,aa)δ(q0,b,a)=(q1,ε)δ(q1,b,a)=(q1,ε)δ(q1,ε,z)=(qf,ε)

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 {anbmcmdn|n,m>0} with {anbncmdm|n,m>0}. 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 {anbncndn|n>0} which is the intersection of these two languages.Template:Sfn

Dyck language

The language of all properly matched parentheses is generated by the grammar SSS|(S)|ε.

Properties

Context-free parsing

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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 w, determine whether wL(G) where L is the language generated by a given grammar G; 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(n2.3728596).Template:Sfn[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.Template:Sfn

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.Template:Sfn

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

Closure properties

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

Nonclosure under intersection, complement, and difference

The context-free languages are not closed under intersection. This can be seen by taking the languages A={anbncmm,n0} and B={ambncnm,n0}, which are both context-free.[note 3] Their intersection is AB={anbncnn0}, which can be shown to be non-context-free by the pumping lemma for context-free languages. As a consequence, context-free languages cannot be closed under complementation, as for any languages A and B, their intersection can be expressed by union and complement: AB=AB. In particular, context-free language cannot be closed under difference, since complement can be expressed by difference: L=Σ*L.Template:Sfn

However, if L is a context-free language and D is a regular language then both their intersection LD and their difference LD are context-free languages.Template:Sfn

Decidability

In formal language theory, questions about regular languages are usually 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.

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

  • Equivalence: is L(A)=L(B)?Template:Sfn
  • Disjointness: is L(A)L(B)= ?Template:Sfn However, the intersection of a context-free language and a regular language is context-free,Template:SfnTemplate:Sfn hence the variant of the problem where B is a regular grammar is decidable (see "Emptiness" below).
  • Containment: is L(A)L(B) ?Template:Sfn Again, the variant of the problem where B is a regular grammar is decidable,Script error: No such module "Unsubst". while that where A is regular is generally not.Template:Sfn
  • Universality: is L(A)=Σ*?Template:Sfn
  • Regularity: is L(A) a regular language?Template:Sfn
  • Ambiguity: is every grammar for L(A) ambiguous?Template:Sfn

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

  • Emptiness: Given a context-free grammar A, is L(A)= ?Template:Sfn
  • Finiteness: Given a context-free grammar A, is L(A) finite?Template:Sfn
  • Membership: Given a context-free grammar G, and a word w, does wL(G) ? Efficient polynomial-time algorithms for the membership problem are the CYK algorithm and Earley's Algorithm.

According to Hopcroft, Motwani, Ullman (2006),Template:Sfn 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.Template:Sfn

Languages that are not context-free

The set {anbncndn|n>0} is a context-sensitive language, but there does not exist a context-free grammar generating this language.Template:Sfn 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 languagesTemplate:Sfn or a number of other methods, such as Ogden's lemma or Parikh's theorem.[1]

Notes

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  1. meaning of δ's arguments and results: δ(state1,read,pop)=(state2,push)
  2. In Valiant's paper, O(n2.81) was the then-best known upper bound. See Matrix multiplication#Computational complexity 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.

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References

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Works cited

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Further reading

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