1. Grammars, Languages and Finite-state automata Languages are described by grammars We need an algorithm that takes as input grammar sentence And gives a result: yes – if the sentence is in the language described by the grammar no - otherwise

2. FSA - Language recognition devices Finite State Automata (FSA) - the simplest model of a computing device - a language recognition device Consists of: a set of internal states, one initial state, one or more - final states. Transition table: (input, state) -> state Input: a string of symbols, written on a tape. Operation: in a given state, FSA reads a symbol and enters some other state.

3. FSA A string is accepted (recognized) by the FSA if when the last symbol is read, the FSA enters one of its final states.

4. Example 1: The laughing machine h a ! h Initial state Final stateq0 q3q1q2 recognizes the strings ha! ha ha ! ha ha ha…ha!

5. Example 2 An FSA that recognizes expressions of the form: E  number E  E + number E  E - number E  E x number number +, -, x Initial state Final state

6. FSAs and Languages The set of all strings over an alphabet, that are accepted by the automaton is the language accepted by the automaton. Thus each automaton describes some language, i.e. it corresponds to a grammar.

7. Grammars and Automata FSA -regular grammars Pushdown automaton - context-free grammars Linear-bound - context sensitive automaton grammars Turing machine - unrestricted grammars

8. Basic characteristics Simple FSA : have no memory Pushdown automata: use a stack Linear bound automata: read and write in both directions on finite tape Computers are linear-bound automata Turing machines: read and write in both directions on infinite tape