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Lecture 16 Oct 18 Context-Free Languages (CFL) - basic definitions Examples
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Context-Free Languages (Ch. 2) Context-free languages allow us to describe non-regular languages like { 0 n 1 n | n 0} General idea: CFL’s are languages that can be recognized by automata that have one stack: { 0 n 1 n | n 0} is a CFL { 0 n 1 n 0 n | n 0} is not a CFL
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Context-Free Grammars Start symbol S with rewrite rules: 1) S 0S1 2) S S yields 0 n 1 n : S 0S1 00S11 … 0 n S1 n 0 n 1 n
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Context-Free Grammars (Def.) A context free grammar G=(V, ,R,S) is defined by V: a finite set variables (non-terminals) : finite set terminals (with V = ) R: finite set of substitution rules V (V )* S: start symbol V The language of grammar G is denoted by L(G): L(G) = { w * | S * w }
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Derivation * A single step derivation “ ” consist of the substitution of a variable by a string according to a substitution rule. Example: with the rule “A BB”, we can have the derivation “01AB0 01BBB0”. A sequence of several derivations (or none) is indicated by “ * ” Same example: “0AA * 0BBBB”
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Some Remarks The language L(G) = { w * | S * w } contains only strings of terminals, not variables. Notation: we summarize several rules, like A B A 01 by A B | 01 | AA A AA Unless stated otherwise: topmost rule has the start variable on the left side.
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Context-Free Grammars (Ex.) Consider the CFG G=(V, ,R,S) with V = {S} = {0,1} R: S 0S1 | 0Z1 Z 0Z | Then L(G) = {0 i 1 j | i j and j > 0} S yields 0 j+k 1 j according to: S 0S1 … 0 j S1 j 0 j Z1 j 0 j 0Z1 j … 0 j+k Z1 j 0 j+k 1 j = 0 j+k 1 j
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Importance of CFL Model for natural languages (Chomsky) Specification of programming languages: “parsing of a computer program” parser for HTML (and some special cases of SGML) Describes mathematical structures. Intermediate between regular languages and other language families of Chomsky hierarchy
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Set of boolean expressions is a CFL Consider the CFG G=(V, ,R,S) with V = {S} = {0,1,(,), , , } R: S 0 | 1 | (S) | (S) (S) | (S) (S) Some elements of L(G): 0 (( (0)) (1)) (1) ((0) (0)) Note: Parentheses prevent “1 0 0” confusion. This language requires full-parenthesizing.
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A very small subset of English Rules: | | | … a | the boy | girl | house sees | ignores A string that can be generated by this grammar: the boy sees the girl
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Parse Trees The parse tree of (0) ((0) (1)) via rule S 0 | 1 | (S) | (S) (S) | (S) (S): S ( ) )( S S ( ) )( S S 0 0 1
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Ambiguity A grammar is ambiguous if some strings are derived ambiguously. A string is derived ambiguously if it has more than one leftmost derivations or more than one parse tree. Typical example: rule S 0 | 1 | S+S | S S S S+S S S+S 0 S+S 0 1+S 0 1+1 versus S S S 0 S 0 S+S 0 1+S 0 1+1
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Ambiguity and Parse Trees The ambiguity of 0 1+1 is shown by the two different parse trees: S + S S 1 S 0 S 1 S S + S 1 S 1 S 0
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More on Ambiguity The two different derivations: S S+S 0+S 0+1 and S S+S S+1 0+1 do not constitute an ambiguous string 0+1 (they will have the same parse tree) Languages that can only be generated by ambiguous grammars are “inherently ambiguous”
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Context-Free Languages Any language that can be generated by a context free grammar is a context-free language (CFL). The CFL { 0 n 1 n | n 0 } shows us that certain CFLs are nonregular languages. Q1: Are all regular languages context free? Q2: Which languages are outside the class CFL?
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Example. A context-free grammar for the set of strings over {0,1} with an equal number of 0’s and 1’s. We need a grammar for the language L = { w | w has an equal number of 0’s and 1’s} Consider the grammar: S 0 S 1 | 1 S 0 | This does not cover all the strings. Exhibit a string in L that is not generated by G.
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We need to add the rule S SS The complete grammar is: S 0S1 | 1S0 | | SS How do we get a string like 011010? S SS S S S 0S1SS 01SS 011S0S 0110S 01101S0 011010 How do we show that L = L(G)? We need the following Lemma: Let x be a string in L. Then, (exactly) one of the following holds: (a) x = 0 y 1 for some y in L, (b) x = 1 y 0 for some y in L, or (c) x = yz for some y and z (both of them non-null) such that both y and z are in L.
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Chomsky Normal Form A context-free grammar G = (V, ,R,S) is in Chomsky normal form if every rule is of the form A BC orA x with variables A V and B,C V \{S}, and x For the start variable S we also allow the rule S Advantage: Grammars in this form are far easier to analyze.
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Theorem 2.6 Every context-free language can be described by a grammar in Chomsky normal form. Outline of Proof: We rewrite every CFG in Chomsky normal form. We do this by replacing, one-by-one, every rule that is not in Chomsky Normal Form (CNF). We have to take care of: Starting Symbol, symbol, all other violating rules.
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Proof Theorem 2.6 Given a context-free grammar G = (V, ,R,S), rewrite it to Chomsky Normal Form by 1) New start symbol S 0 (and add rule S 0 S) 2) Remove A rules (from the tail): before: B xAy and A , after: B xAy | xy 3) Remove unit rules A B (by the head): “A B” and “B xCy”, becomes “A xCy” and “B xCy” 4) Shorten all rules to two: before: “A B 1 B 2 …B k ”, after: A B 1 A 1, A 1 B 2 A 2,…, A k-2 B k-1 B k 5) Replace ill-placed terminals “a” by T a with T a a
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Careful Removing of Rules Do not introduce new rules that you removed earlier. Example: A A simply disappears When removing A rules, insert all new replacements: B AaA becomes B AaA | aA | Aa | a
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Example of CNF Initial grammar: S aSb | In Chomsky normal form: S 0 | T a T b | T a X X ST b S T a T b | T a X T a a T b b
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RL CFL Every regular language can be expressed by a context-free grammar. Proof Idea: Given a DFA M = (Q, , ,q 0,F), we construct a corresponding CF grammar G M = (V, ,R,S) with V = Q and S = q 0 Rules of G M : q i x (q i,x) for all q i V and all x q i for all q i F
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Example RL CFL q1q1 q2q2 q3q3 10 01 0,1 The DFA leads to the context-free grammar G M = (Q, ,R,q 1 ) with the rules q 1 0q 1 | 1q 2 q 2 0q 3 | 1q 2 | q 3 0q 2 | 1q 2
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Picture Thus Far Regular languages context-free languages ?? { 0 n 1 n }
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