Context-free language
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 , 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 . 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.Template:Sfn
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(n2.3728596).[1][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.[2]
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.[3]
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:
- the union of L and PTemplate:Sfn
- the reversal of LTemplate:Sfn
- the concatenation of L and PTemplate:Sfn
- the Kleene star of LTemplate:Sfn
- the image of L under a homomorphism Template:Sfn
- the image of L under an inverse homomorphism Template:Sfn
- the circular shift of L (the language )Template:Sfn
- the prefix closure of L (the set of all prefixes of strings from L)Template:Sfn
- the quotient L/R of L by a regular language RTemplate:Sfn
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. 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: . In particular, context-free language cannot be closed under difference, since complement can be expressed by difference: .[4]
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.[5]
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 ?Template:Sfn
- Disjointness: is ?Template:Sfn However, the intersection of a context-free language and a regular language is context-free,[6]Template:Sfn hence the variant of the problem where B is a regular grammar is decidable (see "Emptiness" below).
- Containment: is ?Template:Sfn Again, the variant of the problem where B is a regular grammar is decidable,Template:Citation needed while that where A is regular is generally not.Template:Sfn
- Universality: is ?Template:Sfn
- Regularity: is a regular language?Template:Sfn
- Ambiguity: is every grammar for ambiguous?Template:Sfn
The following problems are decidable for arbitrary context-free languages:
- Emptiness: Given a context-free grammar A, is ?Template:Sfn
- Finiteness: Given a context-free grammar A, is finite?Template:Sfn
- 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),[7] 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[8]
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.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 languages[8] or a number of other methods, such as Ogden's lemma or Parikh's theorem.[9]
Notes
References
Works cited
Further reading
Template:Formal languages and grammars Template:Authority control
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