Question 3: Compute FIRST & FOLLOW Sets for the following grammar;  F → for( D ; B ; E ) { S } D → T id | T id , D T → int | long B → id R id R → == | != | < | <= | > | >= E → id O | id O , E O → ++ | -- S → F S | other S | ε   Note: This question is from compiler construction

Q: Provide the rules for context-free grammars that generate the following languages. L5 = {aibjck |…

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A: Since, We know for any grammar we have to do the changes that really do not impact the strings or…

Q: QUESTION 4: CONSIDER THE FOLLOWING GRAMMAR THEN ANSWER THE QUESTIONS BELOW: S -a | bbA | B A → aB_]…

A: A. Removing null productions : Removing A -&gt; λ S -&gt; a | bb | bbA | B A -&gt; aB B -&gt; a | aA…

Q: Using the grammar and parse table below, show every step of an LR parser processing the token…

A: LR parser is a type of bottom-up parser used in computer science to analyze and process context-free…

Q: Regular Grammar to Regular expression

A: To convert a regular grammar into a regular expression, we first need to understand the structure…

Q: We have the following grammar with the start symbol : -> + | -> / | | -> 0|1 | 2 | 3 |…

A: We are given with a grammar and its productions, based on the grammar we have questions. We will…

Q: 2 Context Free Grammars Produce the CFG for the following languages. Σ = {a,b). You do not need to…

A: Answer the above question are as follows

Q: 1. Eliminate the left recursion of the following grammar. S->(x)/x L->L,S/S

A: Answer:- Suppose we have given GrammarA -&gt; Aα / βTo remove Left recursion, following steps are…

Q: Design a DFA for a and c a) All words on Σ = {?, ?} that the last two letters are different.…

A: A DFA (Deterministic Finite Automata) which refers to the one it is a type of machine that can be…

Q: 1. Determine if the following languages are context free. If they are, show a grammar or pda for…

A: Answer

Intelligent Machines

Machines that use artificial intelligence to learn from the environment and past experiences to perform better in the presence of variability and uncertainty are called intelligent machines. Intelligence develops according to environment and experience. It is human-like behavior. When the computer system or any programmed machine learns from the inputs and corresponding outputs, it can be called an intelligent machine.