Context-free grammar

In formal language theory, a context-free grammar (CFG), sometimes also called a phrase structure grammar, is a grammar which naturally generates a formal language in which clauses can be nested inside clauses arbitrarily deeply, but where grammatical structures are not allowed to overlap. CFG are expressed by Backus–Naur Form, or BNF. In terms of production rules, every production of a context free grammar is of the form

V → w

where V is a single nonterminal symbol, and w is a string of terminals and/or nonterminals (w can be empty). These rewriting rules applied successively produce a parse tree, where the nonterminal symbols are nodes, the leaves are the terminal symbols, and each node expands by the production into the next level of the tree. The tree describes the nesting structure of the expression. V can therefore change while w is fixed (can't change).

In a context free grammar the left hand side of a production rule is always a single nonterminal symbol. In a general grammar, it could be a string of terminal and/or nonterminal symbols. The grammars are called context free because – since all rules only have a nonterminal on the left hand side – one can always replace that nonterminal symbol with what is on the right hand side of the rule. The context in which the symbol occurs is therefore not important.

Context-free languages are exactly those which can be understood by a finite state computer with a single infinite stack. In order to keep track of nested units, one pushes the current parsing state at the start of the unit, and one recovers it at the end.

Context-free grammars play a central role in the description and design of programming languages and compilers. They are also used for analyzing the syntax of natural languages. Noam Chomsky has posited that all human languages are based on context-free grammars at their core, with additional processes that can manipulate the output of the context-free component (the transformations of early Chomskyan theory).

Background

Since the time of Pāṇini, at least, linguists have described the grammars of languages in terms of their block structure, and described how sentences are recursively built up from smaller phrases, and eventually individual words or word elements.

An essential property of these block structures is that logical units never overlap. For example, the sentence:

John, whose blue car was in the garage, walked to the green store.

can be logically parenthesized as follows:

(John, ((whose blue car) (was (in the garage)))), (walked (to (the green store))).

Natural human languages rarely allow overlapping constructions, such as:

[ John saw (a blue car in an ad yesterday] with bright yellow headlights).

It is hard to find cases of possible overlap and many such cases can be explained in an alternative way that doesn't assume overlap.

The formalism of context-free grammars was developed in the mid-1950s by Noam Chomsky, and also their classification as a special type of formal grammar (which he called phrase-structure grammars).

A context-free grammar provides a simple and precise mechanism for describing the methods by which phrases in some natural language are built from smaller blocks, capturing the "block structure" of sentences in a natural way. Its simplicity makes the formalism amenable to rigorous mathematical study. Important features of natural language syntax such as agreement and reference are not part of the context free grammar, but the basic recursive structure of sentences, the way in which clauses nest inside other clauses, and the way in which lists of adjectives and adverbs are swallowed by nouns and verbs, is described exactly.

Block structure was introduced into computer programming languages by the Algol project, which, as a consequence, also featured a context-free grammar to describe the resulting Algol syntax. This became a standard feature of computer languages, and the notation for grammars used in concrete descriptions of computer languages came to be known as Backus-Naur Form, after two members of the Algol language design committee.

The "block structure" aspect that context-free grammars capture is so fundamental to grammar that the terms syntax and grammar are often identified with context-free grammar rules, especially in computer science. Formal constraints not captured by the grammar are then considered to be part of the "semantics" of the language.

Context-free grammars are simple enough to allow the construction of efficient parsing algorithms which, for a given string, determine whether and how it can be generated from the grammar. An Earley parser is an example of such an algorithm, while the widely used LR and LL parsers are more efficient algorithms that deal only with more restrictive subsets of context-free grammars.

Formal definitions

A context-free grammar G is defined by the 4-tuple:

$G=(V\,,\Sigma \,,R\,,S\,)$ where

1. $V\,$ is a finite set of non-terminal characters or variables. They represent different types of phrase or clause in the sentence. They are sometimes called syntactic categories. Each variable represents a language.

2. $\Sigma \,$ is a finite set of terminals, disjoint from $V\,$, which make up the actual content of the sentence.The set of terminals is the alphabet of the language defined by the grammar.

3. $R\,$ is a relation from $V\,$ to $(V\cup \Sigma )^{*}$ such that $\exists \,w\in (V\cup \Sigma )^{*}:(S,w)\in R$. These relations are called productions or rewrite rules.

4. $S\,$ is the start variable (or start symbol), used to represent the whole sentence (or program). It must be an element of $V\,$.

$R\,$ is a finite set. The members of $R\,$ are called the rules or productions of the grammar. The asterisk represents the Kleene star operation.

Additional Definition 1

For any strings $u,v\in (V\cup \Sigma )^{*}$, we say $u\,$ yields $v\,$, written as $u\Rightarrow v\,$, if $\exists (\alpha ,\beta )\in R$ and $u_{1},u_{2}\in (V\cup \Sigma )^{*}$ such that $u\,=u_{1}\alpha u_{2}$ and $v\,=u_{1}\beta u_{2}$. Thus, $\!v$ is the result of applying the rule $\!(\alpha ,\beta )$ to $\!u$.

Additional Definition 2

For any $u,v\in (V\cup \Sigma )^{*},u{\stackrel {*}{\Rightarrow }}v$ (or $u\Rightarrow \Rightarrow v\,$ in some textbooks) if $\exists u_{1},u_{2},\cdots u_{k}\in (V\cup \Sigma )^{*},k\geq 0$ such that $u\Rightarrow u_{1}\Rightarrow u_{2}\cdots \Rightarrow u_{k}\Rightarrow v$

Additional Definition 3

The language of a grammar $G=(V\,,\Sigma \,,R\,,S\,)$ is the set

$L(G)=\{w\in \Sigma ^{*}:S{\stackrel {*}{\Rightarrow }}w\}$

Additional Definition 4

A language $L\,$ is said to be a context-free language (CFL) if there exists a CFG, $G\,$ such that $L\,=\,L(G)$.

Additional Definition 5

A context-free grammar is said to be proper if it has

• no inaccessible symbols: $\forall N\in V:\exists \alpha ,\beta \in V^{*}:S{\stackrel {*}{\Rightarrow }}\alpha {N}\beta$
• no improductive symbols: $\forall N\in V:\exists w\in \Sigma ^{*}:N{\stackrel {*}{\Rightarrow }}w$
• no ε-productions: $\forall N\in V,w\in \Sigma ^{*}:(N,w)\in R\Rightarrow w\neq$ ε
• no cycles: $\neg \exists N\in V:N{\stackrel {*}{\Rightarrow }}N$

Examples

Example 1

The canonical example of a context free grammar is parenthesis matching, which is representative of the general case. There are two terminal symbols ( and ) and one nonterminal symbol S. The production rules are

S → SS

S → (S)

S → ()

The first rule allows Ss to multiply; the second rule allows Ss to become enclosed by matching parentheses; and the third rule terminates the recursion.

Starting with S, and applying the rules, one can construct:

S → SS → SSS → (S)SS → ((S))SS → ((SS))S(S)

→ ((()S))S(S) → ((()()))S(S) → ((()()))()(S)

→ ((()()))()(())

Example 2

A second canonical example is two different kinds of matching nested parentheses, described by the productions:

S → SS

S → ()

S → (S)

S → []

S → [S]

with terminal symbols [ ] ( ) and nonterminal S.

The following sequence can be derived in that grammar:

([ [ [ ()() [ ][ ] ] ]([ ]) ])

However, there is no context-free grammar for generating all sequences of two different types of parentheses, each separately balanced disregarding the other, but where the two types need not nest inside one another, for example:

[ [ [ [(((( ] ] ] ]))))(([ ))(([ ))([ )( ])( ])( ])

Example 3

S → a

S → aS

S → bS

The terminals here are a and b, while the only non-terminal is S. The language described is all nonempty strings of $a$s and $b$s that end in $a$.

This grammar is regular: no rule has more than one nonterminal in its right-hand side, and each of these nonterminals is at the same end of the right-hand side.

Every regular grammar corresponds directly to a nondeterministic finite automaton, so we know that this is a regular language.

It is common to list all right-hand sides for the same left-hand side on the same line, using | to separate them, like this:

S → a | aS | bS

So that this is the same grammar described in a terser way.

Example 4

In a context-free grammar, we can pair up characters the way we do with brackets. The simplest example:

S → aSb

S → ab

This grammar generates the language $\{a^{n}b^{n}:n\geq 1\}$, which is not regular (according to Pumping Lemma for regular languages).

The special character ε stands for the empty string. By changing the above grammar to

S → aSb | ε

we obtain a grammar generating the language $\{a^{n}b^{n}:n\geq 0\}$ instead. This differs only in that it contains the empty string while the original grammar did not.

Example 5

Here is a context-free grammar for syntactically correct infix algebraic expressions in the variables x, y and z:

1. S → x
2. S → y
3. S → z
4. S → S + S
5. S → S - S
6. S → S * S
7. S → S / S
8. S → ( S )

This grammar can, for example, generate the string

( x + y ) * x - z * y / ( x + x )

as follows:

S (the start symbol)

→ S - S (by rule 5)

→ S * S - S (by rule 6, applied to the leftmost S)

→ S * S - S / S (by rule 7, applied to the rightmost S)

→ ( S ) * S - S / S (by rule 8, applied to the leftmost S)

→ ( S ) * S - S / ( S ) (by rule 8, applied to the rightmost S)

→ ( S + S ) * S - S / ( S ) (etc.)

→ ( S + S ) * S - S * S / ( S )

→ ( S + S ) * S - S * S / ( S + S )

→ ( x + S ) * S - S * S / ( S + S )

→ ( x + y ) * S - S * S / ( S + S )

→ ( x + y ) * x - S * y / ( S + S )

→ ( x + y ) * x - S * y / ( x + S )

→ ( x + y ) * x - z * y / ( x + S )

→ ( x + y ) * x - z * y / ( x + x )

Note that many choices were made underway which S was going to be rewritten next. These choices look quite arbitrary. As a matter of fact, they are.

Also, many choices were made on which rule to apply to the selected S. These do not look so arbitrary: they usually affect which terminal string comes out at the end.

To see this we can look at the parse tree of this derivation:

           S
           |
          /|\
         S - S
        /     \
       /|\    /|\
      S * S  S / S
     /    |  |    \
    /|\   x /|\   /|\
   ( S )   S * S ( S )
    /      |   |    \   
   /|\     z   y   /|\
  S + S           S + S
  |   |           |   |
  x   y           x   x

Starting at the top, step by step, an S in the tree is expanded, until no more unexpanded Ses (non-terminals) remain. Picking a different order of expansion will produce a different derivation, but the same parse tree. The parse tree will only change if we pick a different rule to apply at some position in the tree.

But can a different parse tree still produce the same terminal string, which is ( x + y ) * x - z * y / ( x + x ) in this case? Yes, for this grammar, this is possible. Grammars with this property are called ambiguous.

For example, x + y * z can be produced with these two different parse trees:

         S               S
         |               |
        /|\             /|\
       S * S           S + S    
      /     \         /     \
     /|\     z       x     /|\
    x + y                 y * z

However, the language described by this grammar is not inherently ambiguous: an alternative, unambiguous grammar can be given for the language, for example:

T → x

T → y

T → z

S → S + T

S → S - T

S → S * T

S → S / T

T → ( S )

S → T

(once again picking S as the start symbol).

Example 6

A context-free grammar for the language consisting of all strings over {a,b} containing an unequal number of a's and b's:

S → U | V

U → TaU | TaT

V → TbV | TbT

T → aTbT | bTaT | ε

Here, the nonterminal T can generate all strings with the same number of a's as b's, the nonterminal U generates all strings with more a's than b's and the nonterminal V generates all strings with fewer a's than b's.

Example 7

Another example of a non-regular language is $\{b^{n}a^{m}b^{2n}:n\geq 0,m\geq 0\}$. It is context-free as it can be generated by the following context-free grammar:

S → bSbb | A

A → aA | ε

Other examples

The formation rules for the terms and formulas of formal logic fit the definition of context-free grammar, except that the set of symbols may be infinite and there may be more than one start symbol.

Context-free grammars are not limited in application to mathematical ("formal") languages. For example, it has been suggested that a class of Tamil poetry called Venpa is described by a context-free grammar.

Derivations and syntax trees

There are two common ways to describe how a given string can be shown to be derivable from the start symbol of a given grammar. The simplest way is to list the set of consecutive derivations, beginning with the start symbol and ending with the string itself along with the rules applied to produce each intermediate step. However, if we introduce a strategy such as, "always replace the left-most nonterminal first"; then, for context-free grammars the list of applied grammar rules is by itself sufficient and is called the leftmost derivation of a string. For example, if we take the following grammar:

(1) S → S + S

(2) S → 1

(3) S → a

and the string "1 + 1 + a" then a left derivation of this string is the list [ (1), (1), (2), (2), (3) ]. Analogously the rightmost derivation is defined as the list that we get if we always replace the rightmost nonterminal first. In this case this could be the list [ (1), (3), (1), (2), (2)].

The distinction between leftmost derivation and rightmost derivation is important because in most parsers the transformation of the input is defined by giving a piece of code for every grammar rule that is executed whenever the rule is applied. Therefore it is important to know whether the parser determines a leftmost or a rightmost derivation because this determines the order in which the pieces of code will be executed. See for an example LL parsers and LR parsers.

A derivation also imposes in some sense a hierarchical structure on the string that is derived. For example, if the string "1 + 1 + a" is derived according to the leftmost derivation:

S → S + S (1)

   → S + S + S (1)

   → 1 + S + S (2)

   → 1 + 1 + S (2)

   → 1 + 1 + a (3)

the structure of the string would be:

{ { { 1 }_S + { 1 }_S }_S + { a }_S }_S

where { ... }_S indicates a substring recognized as belonging to S. This hierarchy can also be seen as a tree:

           S
          /|\
         / | \
        /  |  \
       S  '+'  S
      /|\      |
     / | \     |
    S '+' S   'a'
    |     |
   '1'   '1'

This tree is called a concrete syntax tree (see also abstract syntax tree) of the string. In this case the presented leftmost and the rightmost derivations define the same syntax tree; however, there is another (leftmost) derivation of the same string

S → S + S (1)

   → 1 + S (2)

   → 1 + S + S (1)

   → 1 + 1 + S (2)

   → 1 + 1 + a (3)

and this defines the following syntax tree:

           S 
          /|\
         / | \
        /  |  \
       S  '+'  S
       |      /|\
       |     / | \
      '1'   S '+' S
            |     |
           '1'   'a'

If, for certain strings in the language of the grammar, there is more than one parsing tree, then the grammar is said to be an ambiguous grammar. Such grammars are usually hard to parse because the parser cannot always decide which grammar rule it has to apply. Usually, ambiguity is a feature of the grammar, not the language, and an unambiguous grammar can be found which generates the same context-free language. However, there are certain languages which can only be generated by ambiguous grammars; such languages are called inherently ambiguous.

Normal forms

Every context-free grammar that does not generate the empty string can be transformed into one in which no rule has the empty string as a product [a rule with ε as a product is called an ε-production]. If it does generate the empty string, it will be necessary to include the rule $S\rightarrow \epsilon$, but there need be no other ε-rule. Every context-free grammar with no ε-production has an equivalent grammar in Chomsky normal form or Greibach normal form. "Equivalent" here means that the two grammars generate the same language.

Because of the especially simple form of production rules in Chomsky Normal Form grammars, this normal form has both theoretical and practical implications. For instance, given a context-free grammar, one can use the Chomsky Normal Form to construct a polynomial-time algorithm which decides whether a given string is in the language represented by that grammar or not (the CYK algorithm).

Undecidable problems

Some questions that are undecidable for wider classes of grammars become decidable for context-free grammars; e.g. the emptiness problem (whether the grammar generates any terminal strings at all), is undecidable for context-sensitive grammars, but decidable for context-free grammars.

Still, many problems remain undecidable. Examples:

Universality

Given a CFG, does it generate the language of all strings over the alphabet of terminal symbols used in its rules?

A reduction can be demonstrated to this problem from the well-known undecidable problem of determining whether a Turing machine accepts a particular input (the Halting problem). The reduction uses the concept of a computation history, a string describing an entire computation of a Turing machine. We can construct a CFG that generates all strings that are not accepting computation histories for a particular Turing machine on a particular input, and thus it will accept all strings only if the machine doesn't accept that input.

Language equality

Given two CFGs, do they generate the same language?

The undecidability of this problem is a direct consequence of the previous: we cannot even decide whether a CFG is equivalent to the trivial CFG defining the language of all strings.

Language inclusion

Given two CFGs, can the first generate all strings that the second can generate?

Being in a lower level of the Chomsky hierarchy

Given a context-sensitive grammar, does it describe a context-free language? Given a context-free grammar, does it describe a regular language?

Each of these problems is undecidable.

Extensions

An obvious way to extend the context-free grammar formalism is to allow nonterminals to have arguments, the values of which are passed along within the rules. This allows natural language features such as agreement and reference, and programming language analogs such as the correct use and definition of identifiers, to be expressed in a natural way. E.g. we can now easily express that in English sentences, the subject and verb must agree in number.

In computer science, examples of this approach include affix grammars, attribute grammars, indexed grammars, and Van Wijngaarden two-level grammars.

Similar extensions exist in linguistics.

Another extension is to allow additional terminal symbols to appear at the left hand side of rules, constraining their application. This produces the formalism of context-sensitive grammars.

Restrictions

There are a number of important subclasses of the context free grammars:

• Deterministic grammars
• LR(k), Simple LR, and Look-Ahead LR grammars (based on LR, Generalized LR supports the full set of CFGs)
• LL(k) and LL(*) grammars

These classes are important in parsing: they allow string recognition to proceed deterministically, e.g. without backtracking.

• Simple grammars

This subclass of the LL(1) grammars is mostly interesting for its theoretical property that language equality of simple grammars is decidable, while language inclusion is not.

• Bracketed grammars

These have the property that the terminal symbols are divided into left and right bracket pairs that always match up in rules.

• Linear grammars

In linear grammars every right hand side of a rule has at most one nonterminal.

• Regular grammars

This subclass of the linear grammars describes the regular languages, i.e. they correspond to finite automata and regular expressions.

Linguistic applications

Chomsky initially hoped to overcome the limitations of context-free grammars by adding transformation rules.

Such rules are another standard device in traditional linguistics; e.g. passivization in English. Much of generative grammar has been devoted to finding ways of refining the descriptive mechanisms of phrase-structure grammar and transformation rules such that exactly the kinds of things can be expressed that natural language actually allows. Allowing arbitrary transformations doesn't meet that goal: they are much too powerful, being Turing complete unless significant restrictions are added (e.g. no transformations that introduce and then rewrite symbols in a context-free fashion).

Chomsky's general position regarding the non-context-freeness of natural language has held up since then, although his specific examples regarding the inadequacy of context-free grammars (CFGs) in terms of their weak generative capacity were later disproved. Gerald Gazdar and Geoffrey Pullum have argued that despite a few non-context-free constructions in natural language (such as cross-serial dependencies in Swiss German and reduplication in Bambara), the vast majority of forms in natural language are indeed context-free.

Converting a context-free grammar to Greibach Normal Form and Chomsky normal form using CNF/GNF software

CNF / GNF : is a software make the automatic Convertion of a context-free grammar to:

1- Chomsky normal form grammar (CNF).

2- Greibach normal form grammar (GNF).

and also it show you the new grammar in each of the steps of the transformation.

A- Chomsky normal normal grammar (CNF)

1- reduced grammar.

2- epsilon-free grammar.

3- grammar without cycles and unit rules .

4-CNF.

B-Greibach normal form grammar (GNF).

1- reduced grammar.

2- epsilon-free grammar.

3- without cycles and unit rules.

4- non-left recursive grammar.

5- GNF.

with this application you can have CNF and GNF for any context-free grammar just in few steps.

just run the application and create new project and enter your grammar and click done and you will have :

CNF and GNF grammar and the new grammar in each of the steps of the transformation.

See also

• CNF/GNF
• Chomsky normal form software
• Context-sensitive grammar
• Formal grammar
• Parsing
• Parsing expression grammar
• Stochastic context-free grammar
• Algorithms for context-free grammar generation

External links

• Chomsky normal form software
• CNF/GNF Homepage
• CNF/GNF download

Algorithms

• CYK algorithm
• GLR parser
• Earley algorithm

References

• Chomsky, Noam (Sept. 1956). "Three models for the description of language". Information Theory, IEEE Transactions 2 (3).

Further reading

• Michael Sipser (1997). Introduction to the Theory of Computation. PWS Publishing. ISBN 0-534-94728-X. Section 2.1: Context-Free Grammars, pp. 91–101. Section 4.1.2: Decidable problems concerning context-free languages, pp. 156–159. Section 5.1.1: Reductions via computation histories: pp. 176–183.