A syntax-directed translation scheme is a context-free grammar in which attributes are related to the grammar symbol and semantic actions enclosed within braces ({ }). These semantic actions are the subroutines that are known by the parser at the suitable time for translation. The location of the semantic actions on the right side of production denotes the time when it will be known for implementation by the parser.When it can produce a translation scheme, it should provide that an attribute value is available when the action defines it. This needed thatInherited attributes of a symbol on the right side of ... Read More

There are two types of Syntax directed translation schemes which are as follows −Synthesized TranslationIn this translation, values of variables on L.H.S of a production rule depend on the value of the variable on R.H.S of production rule.For Example, E → E(1) + E(2)     {E. VAL = E(1). VAL + E(2). VAL}Here, E on L.H.S of production rule can be computed by the sum of values of E(1) and E(2) which are on R.H.S of a production rule, i.e., L.H.S variable is dependent on R.H.S variables.In synthesized translation, the value of the synthesized attribute at the node is evaluated ... Read More

In syntax directed translation, along with the grammar it can identify some informal notations and these notations are known as as semantic rules.After implementing the Semantic Analysis, the source program is modified to an intermediate form.There is some information that is required by the Intermediate code generation phase to convert the semantically checked parse tree into intermediate code. But this information or attributes of variables cannot be represented alone by Context- Free Grammar.So, some semantic actions have to be attached with Context-Free grammar which helps the intermediate code generation phase to generate intermediate code.So, Attaching attributes to the variables of ... Read More

SolutionComputation of FIRSTE → E + T|TSince FIRST (E) does not contain ε.∴ FIRST (E) = FIRST(E + T) = FIRST(E)As, E → T∴ FIRST (E) = {FIRST(T)}                                       (1)T → T ∗ F|FAs FIRST (T) does not contain ε or T does not derive ε.∴ FIRST (T) = FIRST(T ∗ F) = {FIRST(T)}As, T → F (FIRST(T) = {FIRST(F)}                      (2)F → (E)|id∴ By Rule (3)of FIRSTFIRST (F) = {(, id}    ... Read More

There are three types of LR Parsers which are as follows −Simple LR Parser (SLR) − SLR represents "Simple LR Parser". It is very easy and costeffective to execute. But it fails to make a parsing table for some class of grammars, i.e., why CLR and LALR are used which implements mainly all class or type of grammars. It constructs parsing tables which helps to perform parsing of input strings. SLR Parsing can be done if context-free Grammar will be given. In LR (0), 0 means there is no Look Ahead symbol.The SLR parsing action and goto function from the ... Read More

LR Parser is a class of Bottom-Up Parser that is used to parse Context-Free Grammars. LR Parsing is known as LR (K) parsing. LR parser is a shift-reduce parser that creates the use of deterministic finite automata, identifying the collection of all applicable prefixes by reading the stack from bottom to top.It decides what handle, if any, is available. A viable prefix of a right sequential form is that prefix that includes a handle, but no symbol to the right of the handle. Thus, if a finite state machine that identifies viable prefixes of the right sentential form is constructed, ... Read More

LR Parsing Tables are a two-dimensional array in which each entry represents an Action or goto entry. A programming language grammar having a large number of productions has a large number of states or items, i.e., I0, I1 … … In.So, due to more states, more Actions & goto entries will be filled, which requires a lot of memory. So, a two-dimensional array is not sufficient to store so many action entries, because each entry requires at least 8 bits to encode.So, we have to use more efficient encoding than a two-dimensional array for encoding, Action & goto field.For example, ... Read More

SolutionStep1− Construct Augmented Grammar(0) E′ → S(1) E → E + E(2) E → E ∗ E(3) E → (E)(4) E → idStep2− Find closure & goto functions to construct LR (0) items.Closure (E′ → ∙ E) =Applying goto on I9∵ goto cannot be applied on I9, as the dot in E → (E). is on the last position.Step3− Computation of FOLLOWApplying Rule (1) FOLLOWFOLLOW(B) = {$}                                                         (1)E → E + EComparing ... Read More

Shift Reduce Parser is a type of Bottom-Up Parser. It generates the Parse Tree from Leaves to the Root. In Shift Reduce Parser, the input string will be reduced to the starting symbol. This reduction can be produced by handling the rightmost derivation in reverse, i.e., from starting symbol to the input string.Shift Reduce Parser requires two Data StructuresInput BufferStackThere are the various steps of Shift Reduce Parsing which are as follows −There are the various steps of Shift Reduce Parsing which are as follows −It uses a stack and an input buffer.Insert $ at the bottom of the stack ... Read More

SolutionStep1 − Construct Augment Grammar(0) S′ → S(1) S → A a(2) S → b A c(3) S → B c(4) S → b B a(5) A → d(6) B → dStep2 − Find Closure & goto. Construct a set of LR (1) items. Here all the boxes represent new states.LR (1) Parsing TableSo, the LR (1) Parsing Table has no several entries. Grammar is LR (1).Construction of LR (1) or Canonical LR Parsing TableInput − An Augmented Grammar G’.Output − The Canonical LR (1) Parsing TableMethodFilling the "shift" Entries(s) − Apply Rule (2a) of construction of CLR Parsing Table.Consider ... Read More