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Context Free Grammars

Context Free Grammars. The Total Language Tree. It is possible to depict the generation of all the words in the language of a CFG simultaneously in one big (possibly infinite) tree. Definition:

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Context Free Grammars

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  1. Context Free Grammars

  2. The Total Language Tree • It is possible to depict the generation of all the words in the language of a CFG simultaneously in one big (possibly infinite) tree. Definition: • For a given CFG, we define a tree with the start symbol S as its root and whose nodes are working strings of terminals and nonterminals. The descendants of each node are all the possible results of applying every applicable production to the working string, one at a time. A string of all terminals is a terminal node in the tree. The resultant tree is called the total language tree of the CFG.

  3. Example • Consider the CFG: S → aa | bX |aXX X → ab |b • The total language tree is

  4. The above total language has only 7 different words. • Four of its words (abb, aabb, abab, aabab) have two different derivations because they appear as terminal nodes in two different places. • However, these words are NOT generated by two different derivation trees. Hence, the CFG is unambiguous. For example,

  5. Example • Consider the CFG: S → aSb | bS | a • The language of this CFG is infinite, so is the total language tree: The tree may get arbitrary wide as well as infinitely long. • Can you draw the beginning part of this total language tree?

  6. Semi Word • For a given CFG, semiword is a string of terminals (may be none) concatenated with with exactly one non-terminal (on the right). • In general semiword has the shape (terminal) (terminal)….(terminal) (Non-Terminal) e.g. aaaX abcY bbY A word is a string of terminals only (zero or more terminals)

  7. Regular Grammar Given an FA, there is a CFG that generates exactly the language accepted by the FA. • In other words, all regular languages are CFLs CFL Regular

  8. a a X y x Creating a CFG from an FA Step-1 The Non-terminals in CFG will be all names of the states in the FA with the start state renamed S. Step-2 For every edge Create productions XaY or XaX Do the same for b-edges Step-3 For every final-state X, create the production XΛ

  9. a,b x Example b a S  aM S  bS M  aF M  bS F  aF F  bF F  Λ a S- M b Note: It is not necessary that each CFG has a corresponding FA. But each FA has an equivalent CFG.

  10. Regular Grammar Theorem 22: If all the productions in a given CFG fit one of the two forms: Non-terminal  semiword or Non-terminal  word (Where the word may be a Λ or string of terminal), then the language generated by the CFG is Regular. Proof: For a CFG to be regular is by constructing a TG from the given CFG.

  11. Proof contd. • Let us consider a general CFG in this form N1 w1N2 N7  w10 N1 w2N3 N18  w23 N2  w3N4 --------------- --------------- --------------- Where N’s are non-terminal and w’s are the string of terminal and part wyNz are semiwords. Let N1=S. Draw a small circle for each N and one extra circle labelled +, the circle for S we label (-) N2 N13 -S …… …… + N3 Nx

  12. wy wq Nx Np Nz + Proof contd. • For each production of the form Nx wyNz, draw a directed edge from state Nx to Nz with label wy. • If Nx = Nz, the path is a loop • For every production of the form Np  wq, draw a directed edge from Np to + and label it with wq even if wq = Λ. • Any path in TG form – to + corresponds to a word in the language of TG (by concatenating symbols) and simultaneously corresponds to sequence of productions on the CFG generating words. • Conversely every production of the word in the CFG: S  wN  wwN  wwwN  …..  wwwww Corresponds to a path in this TG.

  13. aa Λ - + bb Example • Consider the CFG S  aaS | bbS | Λ • The regular expression is given by (aa + bb)*. • Consider the CFG SaaS | bbS | abX | baX | Λ X aaX | bbX | abS | baS • Language accepted? • EVEN-EVEN aa,bb aa,bb ab, ba - X Λ + ab, ba

  14. Killing Λ-Productions Λ-Productions: In a given CFG, we call a non-terminal N null able if there is a production N  Λ, or there is a derivation that starts at N and lead to a Λ. N  ………  Λ • Λ-Productions are undesirable. • We can replace Λ-production with appropriate non-Λ productions.

  15. Theorem 23 • If L is CFL generated by a CFG having Λ-productions, then there is a different CFG that has no Λ-production and still generates either the whole language L (if L does not include Λ) or else generate the language of all the words in L other than Λ. • Replacement Rule. • Delete all Λ-Productions. • Add the following productions: For every production of the X  old string Add new production of the form X  .., where right side will account for every modification of the old string that can be formed by deleting all possible subsets of null-able Non-Terminals, except that we do not allow X  Λ, to be formed if all the character in old string are null-able

  16. Old nullableNew ProductionProduction X  Y nothing X  Λ nothing Y  X nothing S  Xb S  b S  aYa S  aa So the new CFG is S  a | Xb | aa | aYa |b X  Y Y  b | X Example Consider the CFG S  a | Xb | aYa X  Y | Λ Y  b | X

  17. Old nullableNew ProductionProduction S  Xa S  a X  aX X  a X  bX X  b So the new CFG is S  a | Xa X  aX | bX | a | b Example Consider the CFG S  Xa X  aX | bX | Λ

  18. Example S  XY X  Zb Y  bW Z  AB W  Z A  aA | bA | Λ B  Ba | Bb | Λ • Null-able Non-terminals are? • A, B, Z and W

  19. Old nullable New Production Production X  Zb X  b Y  bW Y  b Z  AB Z  A and Z  B W  Z Nothing new A  aA A  a A  bA A  b B  Ba B a B  Bb B  b Example Contd. S  XY X  Zb Y  bW Z  AB W  Z A  aA | bA | Λ B  Ba | Bb | Λ So the new CFG is S  XY X  Zb | b Y  bW | b Z  AB | A | B W  Z A  aA | bA | a | b B  Ba | Ba | a | b

  20. Killing unit-productions • Definition: A production of the form • Nonterminal  one Nonterminal is called a unit production. • The following theorem allows us to get rid of unit productions: Theorem 24: If there is a CFG for the language L that has no Λ-productions, then there is also a CFG for L with no Λ-productions and no unit productions.

  21. Proof of Theorem 24 • This is another proof by constructive algorithm. • Algorithm: For every pair of nonterminals A and B, if the CFG has a unit production A  B, or if there is a chain A  X1 X2 …  B where X1, X2, ... are nonterminals, create new productions as follows: • If the non-unit productions from B are B  s1 | s2| … where s1, s2, ... are strings, we create the productions A  s1| s2| …

  22. Example • Consider the CFG S  A| bb A  B | b B  S | a • The non-unit productions are S  bb, A  b ,B  a • And unit productions are S  A A  B B  S

  23. Example contd. • Let’s list all unit productions and their sequences and create new productions: S  A gives S  b S  A  B gives S  a A  B gives A  a A  B  S gives A  bb B  S gives B  bb B  S  A gives B  b • Eliminating all unit productions, the new CFG is S  bb | b | a A  b | a | bb B  a | bb | b • This CFG generates a finite language since there are no nonterminals in any strings produced from S.

  24. Useless Symbols • Let a CFG G. A symbol X ε (V U ∑) is useful if there is a derivation Where U and V ε (V U ∑) and w ε∑*. A symbol that is not useful is useless • A terminal is useful if it occurs in a string of the language of G. • A variable is useful if it occurs in a derivation that begins from S and generates a terminal string For a variable to be useful two conditions must be satisfied. • The variable must occur in a sentential form of the grammar • There must be a derivation of a terminal string from the variable. • A variable that occurs in a sentential form is said to be reachable from S. • A two part procedure is presented to eliminate useless symbols.

  25. Useless Production Some derivations never terminate... Useless Productions

  26. Useless Production Another grammar: Not reachable from S

  27. contains only terminals In general: if then variable is useful otherwise, variable is useless

  28. Productions useless Variables useless useless useless useless useless useless A production is useless if any of its variables is useless

  29. Removing Useless Productions Example Grammar:

  30. find all variables that can produce strings with only terminals First: Round 1: Round 2:

  31. Keep only the variables that produce terminal symbols: (the rest variables are useless) Remove useless productions

  32. Second: Find all variables reachable from Use a Dependency Graph not reachable

  33. Keep only the variables reachable from S (the rest variables are useless) Final Grammar Remove useless productions

  34. Set of variables that Derive terminal symbols • Input = CFG (V, ∑, P , S) • TERM = { A | there is a rule Aw ε P with w ε∑* • repeat • PREV = TERM • For each variable in A ε V do • If there is a rule A  w and w ε (PREV U ∑)* then TERM = TERM U {A} • Until PREV = TERM

  35. Example • Consider following CFG G: S  AC | BS | B A  aA | aF B  CF | b C cC | D D aD | BD | C E  aA | BSA F  bB | b

  36. New Grammar from • TERM will be • GT: • S BS | B • A  aA | aF • B  b • E  aA | BSA • F  bB | b S  AC | BS | B A  aA | aF B  CF | b C cC | D D aD | BD | C E  aA | BSA F  bB | b Iteration TERM PREV 0 {B, F} {} 1 {B, F, A, S} {B, F} 2 {B, F, A, S, E} {B, F, A, S} 3 {B, F, A, S, E} {B, F, A, S, E}

  37. Construction of set of reachable Variables • Input = CFG (V, ∑, P , S) • REACH = {S} • PREV = null • repeat • NEW = REACH – PREV • PREV = REACH • For each variable A in NEW do • For each rule A  w do add all variables in w to REACH • Until REACH = PREV

  38. Iteration REACH PREV 0 {S} {} 1 {S, B} {S} 2 {S, B} {S, B} 3 {S, B} {S, B} GT: S BS | B A  aA | aF B  b E  aA | BSA F  bB | b

  39. Removing All • Step 1: Remove Nullable Variables • Step 2: Remove Unit-Productions • Step 3: Remove Useless Variables

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