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1 CDT314 FABER Formal Languages, Automata and Models of Computation Lecture 8 Mälardalen University 2011
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2 Content Context-Free Languages Push-Down Automata, PDA NPDA: Non-Deterministic PDA Formal Definitions for NPDAs NPDAs Accept Context-Free Languages Converting NPDA to Context-Free Grammar
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3 Regular Languages Context-Free Languages Non-regular languages
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4 Context-Free Languages
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5 Pushdown Automata Context-Free Grammars stack automaton (CF grammars are defined as generalized Regular Grammars)
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6 Definition: Context-Free Grammars Grammar Productions of the form: is string of variables and terminals VariablesTerminal symbols Start variables
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7 Pushdown Automata PDAs
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8 Pushdown Automaton - PDA Input String Stack States
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9 The Stack The stack allows pushdown automata to recognize some non-regular languages. All access to the stack is only on the top! (Stack top is written leftmost in the string, e.g. yxz) A PDA can write symbols on stack and read them later on. A stack is valuable as it can hold an unlimited amount of information (but it is not random access!). POP reading symbol PUSH writing symbol
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10 The States Input symbol Pop old - reading stack symbol Push new - writing stack symbol
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11 top input stack Replace (An alternative is to either start and finish with empty stack or with a stack bottom symbol such as $)
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12 input Push top stack
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13 input Pop top stack
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14 input No Change top stack
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15 Input Stack Example 3.7 Salling: A PDA for simple nested parenthesis strings Time 0
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16 Input Stack Example 3.7 Time 1
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17 Input Stack Example 3.7 Time 2
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18 Input Stack Example 3.7 Time 3
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19 Input Stack Example 3.7 Time 4
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20 Input Stack Example 3.7 Time 5
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21 Input Stack Example 3.7 Time 6
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22 Input Example 3.7 Time 7 Stack
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23 NPDAs Non-deterministic Push-Down Automata
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24 Non-Determinism
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25 A string is accepted if: All the input is consumed The last state is a final state Stack is in the initial condition (either: empty (when we started with empty stack), or: bottom symbol reached, depending on convention)
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26 is the language accepted by the NPDA: Example NPDA
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27 NPDA M (Even-length palindromes) Example NPDA Example : aabaaabbb bbbaaabaa
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28 Pushing Strings Input symbol Pop symbol Push string
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29 top input stack Push pushed string Example
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30 Another NPDA example NPDA M
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31 Time 0 Input Stack Current state Execution Example
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32 Input Stack Time 1
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33 Input Stack Time 2
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34 Input Stack Time 3
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35 Input Stack Time 4
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36 Input Stack Time 5
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37 Input Stack Time 6
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38 Input Stack accept Time 7
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39 Formal Definitions for NPDAs
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40 Transition function
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41 Transition function current state current input symbol current stack top new state new stack top An unspecified transition function is to the null set and represents a dead configuration for the NPDA.
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42 Formal Definition Non-Deterministic Pushdown Automaton NPDA States Input alphabet Stack alphabet Transition function Final states Stack start symbol
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43 Instantaneous Description Current state Remaining input Current stack contents
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44 Input Stack Time 4: ExampleInstantaneous Description
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45 Input Stack Time 5: ExampleInstantaneous Description
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46 We write Time 4Time 5
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47 A computation example
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48 A computation example
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49 A computation example
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50 A computation example
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51 A computation example
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52 A computation example
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53 A computation example
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54 A computation example
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55 For convenience we write A computation example
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56 Formal Definition Language of NPDA M Initial state Final state
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57 Example NPDA M
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58 NPDA M
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59 Therefore: NPDA M
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60 NPDAs Accept Context-Free Languages
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61 Context-Free Languages (Grammars) Languages Accepted by NPDAs Theorem
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62 Context-Free Languages (Grammars) Languages Accepted by NPDAs Proof - Step 1: Convert any context-free grammar G to a NPDA M with L(G) = L(M)
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63 Context-Free Languages (Grammars) Languages Accepted by NPDAs Proof - Step 2: Convert any NPDA M to a context-free grammar G with L(M) = L(G)
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64 Converting Context-Free Grammars to NPDAs
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65 An example grammar: What is the equivalent NPDA?
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66 Grammar NPDA
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67 The NPDA simulates the leftmost derivations of the grammar L(Grammar) = L(NPDA)
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68 Grammar: A leftmost derivation:
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69 NPDA execution: Input Stack Time 0 Start
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70 Input Stack Time 1
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71 Input Stack Time 2
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72 Input Stack Time 3
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73 Input Stack Time 4
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74 Input Stack Time 5
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75 Input Stack Time 6
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76 Input Stack Time 7
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77 Input Stack Time 8
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78 Input Stack Time 9
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79 Input Stack Time 10 accept
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80 In general Given any grammar G we can construct a NPDA M with
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81 For any productionFor any terminal Constructing NPDA M from grammar G Top-down parser
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82 Grammar G generates string w if and only if NPDA M accepts w
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83 For any context-free language there is an NPDA that accepts the same language
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84 Which means Languages Accepted by NPDAs Context-Free Languages (Grammars)
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85 Converting NPDAs to Context-Free Grammars
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86 For any NPDA M we will construct a context-free grammar G with
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87 in NPDA M Input processedStack contents terminals variables A derivation in Grammar The grammar simulates the machine
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88 Some Simplifications First we modify the NPDA so that It has a single final state q f and It empties the stack when it accepts the input Original NPDAEmpty Stack
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89 Second we modify the NPDA transitions. All transitions will have form: or which means that each move increases/decreases stack by a single symbol.
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90 Those simplifications do not affect generality of our argument. It can be shown that for any NPDA there exists an equivalent one having the above two properties i.e. the equivalent NPDA with a single final state which empties its stack when it accepts the input, and which for each move increases/decreases stack by a single symbol.
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91 The Grammar Construction In grammar G Terminals: Input symbols of NPDA states Stack symbol Variables:
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92 For each transition: we add production:
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93 For each transition: we add production: for all states q k, q l
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94 Start Variable Stack bottom symbol Start state (Single) Final state
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95 From NPDA to CFG, in short When we write a grammar, we can use any variable names we choose. As in programming languages, we like to use "meaningful" variable names. When we translate an NPDA into a CFG, we will use variable names that encode information about both the state of the NPDA and the stack contents. Variable names will have the form [qiAqj], where qi and qj are states and A is a variable. The "meaning" of the variable [qiAqj] is that the NPDA can go from state qi with Ax on the stack to state qj with x on the stack. Each transition of the form (qi, a, A) = (qj, ) results in a single grammar rule.
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96 From NPDA to CFG Each transition of the form (qi, a, A) = (qj, BC) results in a multitude of grammar rules, one for each pair of states qx and qy in the NPDA. This algorithm results in a lot of useless (unreachable) productions, but the useful productions define the context-free grammar recognized by the NPDA. http://www.seas.upenn.edu/~cit596/notes/dave/npda-cfg6.html http://www.cs.duke.edu/csed/jflap/tutorial/pda/cfg/index.htmlhttp://www.seas.upenn.edu/~cit596/notes/dave/npda-cfg6.html http://www.cs.duke.edu/csed/jflap/tutorial/pda/cfg/index.html using JFLAP
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97 For any NPDA there is an context-free grammar that generates the same language
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98 Context-Free Languages (Grammars) Languages Accepted by NPDAs We have the procedure to convert any NPDA M to a context-free grammar G with L(M) = L(G) which means
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99 Context-Free Languages (Grammars) Languages Accepted by NPDAs Therefore END OF PROOF
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100 An example of a NPDA in an appropriate form
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101 Example Grammar production:
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102 Grammar productions:
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103 Grammar production:
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104 Resulting Grammar
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105 Resulting Grammar, cont.
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106 Resulting Grammar, cont.
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107 Derivation of string
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108 In general, in grammar: if and only if is accepted by the NPDA
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109 Explanation By construction of Grammar: if and only if in the NPDA going from q i to q j the stack doesn’t change below and A is removed from stack
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110 Example (Sudkamp 8.1.2) Language consisting solely of a’s or an equal number of a´s and b´s.
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111 JFLAP demo Concerning examination in the course: Exercises are voluntary Labs are voluntary Midterms are voluntary Lectures are voluntary… All of them are recommended! http://www.cs.duke.edu/csed/jflap/movies
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