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Context-Free Grammars

MA/CSSE 474 Theory of Computation. Context-Free Grammars. Perhaps First Wok should be nicknamed "Mercury".  After all, they get your food to you pretty fast, and it may even give you "the runs". 

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Context-Free Grammars

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  1. MA/CSSE 474 Theory of Computation Context-Free Grammars

  2. Perhaps First Wok should be nicknamed "Mercury".  After all, they get your food to you pretty fast, and it may even give you "the runs".  But a bigger reason is that such a popular establishment may eventually open a franchise in West Terre Haute, such a lovely location that the new restaurant could rightly be called "Venus".   If the second restaurant is also popular, they may consider expanding further west to Paris, Illinois.  And what better nickname for that restaurant than "Earth"? Why? Very early each morning this Paris restaurant would actually be  … What questions do you have?

  3. Context-Free Grammars A context-free grammar (a.k.a. CFG) G is a quadruple, (V, , R, S), where: ● V is the rule alphabet (vocabulary), which contains nonterminals and terminals. ●  (the set of terminals) is a subset of V, ● R (the set of rules) is a finite subset of (V - ) V*, ● S (the start symbol) is an element of V - . Example: ({S, a, b}, {a, b}, {SaSb, S}, S) Rules are also called productions. Note: Some authors say that a CFG is (N, , R, S), where N is the set of nonterminal symbols. In that case V=N . I may sometimes use N in this way. N = V - .

  4. Derivations, Context-free Languages xGyiff x = A and A  is in R y =    w0 Gw1 Gw2 G . . . Gwnis a derivation in G. LetG*be the reflexive, transitive closure of G. Then the language generated by G, denoted L(G), is: {w * : S G* w}. A language L is context-free if there is some context-free grammar G such that L = L(G).

  5. Example Grammars Example: Let G = ({S, a, b}, {a, b}, {S aSb, S },S) S aSbaaSbbaaaSbbbaaabbb S * aaabbb --------------------------- Try to write grammars for Bal (language of balanced parentheses) ambn : m>= n

  6. Regular Grammars A brief side-trip into Chapter 7

  7. Regular Grammars In a regular grammar, every rule (production) in R must have a right-hand side that is: ●, or ●a single terminal, or ●a single terminal followed by a single nonterminal. Regular: Sa, S, and TaS Not regular: SaSa and ST

  8. Regular Grammar Example L = {w {a, b}* : |w| is even} ((aa)  (ab)  (ba)  (bb))* S SaT SbT Ta Tb TaS TbS Derive abbb from this grammar

  9. Regular Languages and Regular Grammars Theorem: A language is regular iff it can be defined by a regular grammar. Proof: By two constructions.

  10. Regular Languages and Regular Grammars Regular grammar  FSM: grammartofsm(G = (V, , R, S)) = 1. Create in M a separate state for each nonterminal in V. 2. Start state is the state corresponding to S . 3. If there are any rules in R of the form Xa, for some a  , create a new state labeled #. 4. For each rule of the form Xa Y, add a transition from X to Y labeled a. 5. For each rule of the form Xa, add a transition from X to # labeled a. 6. For each rule of the form X, mark state X as accepting. 7. Mark state # as accepting. FSM  Regular grammar: Similar. Essentually reverses this procedure. S  bS, S aTT aS, T b, T ε

  11. Recursive Grammar Rules • A rule is recursive iff it is Xw1Yw2, where: Y* w3Xw4 for some w1, w2, w3, and w4 in V*. • A grammar G is recursive iff G contains at least one recursive rule. • Examples:S (S) S (T) T (S) In general, non-recursive grammars are boring!

  12. Self-Embedding Grammar Rules What is the difference between self-embedding and recursive? • A rule in a grammar G is self-embedding iff it is : X w1Yw2, where Y* w3Xw4 and both w1w3 and w4w2 are in +. • A grammar is self-embedding iff it contains at least one self-embedding rule. • Examples: SaSa self-embedding SaS recursive but not self-embedding SaT TSa self-embedding

  13. Where Context-Free Grammars Get Their Power • If a grammar G is not self-embedding then L(G) is regular. • If a language L has the property that every grammar that defines it is self-embedding, then L is not regular.

  14. Equal Numbers of a’s and b’s Let L = {w {a, b}*: #a(w) = #b(w)}. Find a CFG G such that L = L(G)

  15. Arithmetic Expressions G = (V, , R, E), where V = {+, *, (, ), id, E},  = {+, *, (, ), id}, R = { E E + E E E E E  (E) E id } Derive id + id * id

  16. BNF A notation for writing practical context-free grammars • The symbol | should be read as “or”. Example: SaSb | bSa | SS |  • Allow a nonterminal symbol to be any sequence of characters surrounded by angle brackets. Examples of nonterminals: <program> <variable>

  17. BNF for a Java Fragment <block> ::= {<stmt-list>} | {} <stmt-list> ::= <stmt> | <stmt-list> <stmt> <stmt> ::= <block> | while (<cond>) <stmt> | if (<cond>) <stmt> | do <stmt> while (<cond>); | <assignment-stmt>; | return | return <expression> | <method-invocation>;

  18. Spam Generation These production rules yield 1,843,200 possible spellings. How Many Ways Can You Spell V1@gra? By Brian Hayes American Scientist, July-August 2007 http://www.americanscientist.org/template/AssetDetail/assetid/55592

  19. HTML <ul> <li>Item 1, which will include a sublist</li> <ul> <li>First item in sublist</li> <li>Second item in sublist</li> </ul> <li>Item 2</li> </ul> A grammar: /* Text is a sequence of elements. HTMLtextElementHTMLtext |  Element UL | LI| … (and other kinds of elements that are allowed in the body of an HTML document) /* The <ul> and </ul> tags must match. UL <ul>HTMLtext</ul> /* The <li> and </li> tags must match. LI <li>HTMLtext</li>

  20. English S  NPVP NP  theNominal | aNominal | Nominal | ProperNoun | NPPP Nominal  N | Adjs N N  cat | dogs | bear | girl | chocolate | rifle ProperNoun  Chris | Fluffy Adjs  Adj Adjs | Adj Adj  young | older | smart VP  V | V NP | VPPP V  like | likes | thinks | shoots | smells PP  Prep NP Prep  with

  21. Designing Context-Free Grammars ● Generate related regions together. AnBn ● Generate concatenated regions: ABC ●Generate outside in: A aAb

  22. Concatenating Independent Languages Let L = {anbncm : n, m 0}. The cm portion of any string in L is completely independent of the anbn portion, so we should generate the two portions separately and concatenate them together. G = ({S, N, C, a, b, c}, {a, b, c}, R, S} where: R = { SNC NaNb N CcC C }.

  23. L = { : k 0 and i (ni 0)} Examples of strings in L: , abab, aabbaaabbbabab Note that L = {anbn : n 0}*. G = ({S, M, a, b}, {a, b}, R, S} where: R = { SMS S MaMb M }.

  24. Another Example: Unequal a’s and b’s L = {anbm: nm} G = (V, , R, S), where V = {a, b, S, },  = {a, b}, R =

  25. Simplifying Context-Free Grammars Remove non-productive and unreachable non-terminals.

  26. Unproductive Nonterminals removeunproductive(G: CFG) = • G = G. • Mark every nonterminal symbol in G as unproductive. • Mark every terminal symbol in G as productive. • Until one entire pass has been made without any new symbol being marked do: For each rule X  in R do: If every symbol in  has been marked as productive and X has not yet been marked as productive then: Mark X as productive. • Remove from G every unproductive symbol. • Remove from G every rule that contains an unproductive symbol. • Return G.

  27. Unreachable Nonterminals removeunreachable(G: CFG) = • G = G. • Mark S as reachable. • Mark every other nonterminal symbol as unreachable. • Until one entire pass has been made without any new symbol being marked do: For each rule X A (where A V - ) in R do: If X has been marked as reachable and A has not then: Mark A as reachable. • Remove from G every unreachable symbol. • Remove from G every rule with an unreachable symbol on the left-hand side. • Return G.

  28. Proving the Correctness of a Grammar AnBn = {anbn : n 0} G = ({S, a, b}, {a, b}, R, S), R = { S aSb S  } ● Prove that G generates only strings in L. ● Prove that G generates all the strings in L.

  29. Structure Context free languages: We care about structure. E E + E idE * E 3 idid 5 7

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