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What is the term for a parser that constructs a rightmost derivation?

LR Parser

What are the two types of parsing techniques?

  • Left-to-right parsing
  • Right-to-left parsing
  • Top-down parsing (correct)
  • Bottom-up parsing (correct)

Which of the following is NOT a limitation of a syntax analyzer?

  • It cannot determine if a production rule is being used. (correct)
  • It cannot determine if a token is initialized before it is being used.
  • It cannot determine if an operation performed on a token type is valid or not.
  • It cannot determine if a token is valid.
  • It cannot determine if a token is declared before it is being used.

Backtracking is a technique that is commonly used in top-down parsing to find the correct derivation.

<p>True (A)</p> Signup and view all the answers

LL(1) parsers are widely used as they can handle both ambiguous and left-recursive grammars efficiently.

<p>False (B)</p> Signup and view all the answers

What are the two key functions used in the construction of a predictive LL(1) parser?

<p>FIRST and FOLLOW</p> Signup and view all the answers

What is the purpose of the LR(0) parser?

<p>It helps lay the groundwork for more sophisticated parsers by determining the necessary reductions and transitions.</p> Signup and view all the answers

What is the term for a substring that matches a production's right-hand side in a bottom-up parsing process?

<p>Handle</p> Signup and view all the answers

Flashcards

Formal Grammar

A set of rules defining the structure of a language.

Categories of Grammar

Different types of formal grammar systems, each with specific properties.

Ambiguity in CFG

A situation where a grammar can generate more than one parse tree for the same input string.

Capabilities of CFG

Context-free grammars can describe many programming languages' structures.

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Left Recursion

A grammar rule where a non-terminal symbol can derive itself.

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Left Factoring

Grammar technique to make the grammar easier to parse.

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Non-Deterministic

More than one possible parsing path for an input string. Complicates parsing.

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Deterministic

Only one possible parsing path/step for an input string.

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Top-Down Parsing

Parser starts from the start symbol and tries to match the input.

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Bottom-Up Parsing

Parser starts from the input and constructs the parse tree.

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Syntax Analyzer

Part of a compiler that verifies the syntactic structure of the input.

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Parse Tree

A hierarchical representation of a sentence/program based on the grammar rules.

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Terminal Symbol

A symbol in the language that represents a token in the input. Cannot be broken down further.

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Non-terminal Symbol

A symbol representing a syntactic structure/construct.

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Token Stream

Sequence of tokens from the lexical analyzer used by the parser.

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Lexical Analyzer

The part of a compiler that breaks input code into tokens.

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Parse Tree Leaf

Represents a terminal symbol in a parse tree.

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Parse Tree Interior Node

Represents a non-terminal symbol in a parse tree.

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In-order Traversal

Visiting nodes in a parse tree to reconstruct the input string.

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Syntax Error

Violation of the language's grammar rules in the input.

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Semantic Analyzer

Checks the meaning (semantics) of the code after parsing.

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Study Notes

Compiler Design (21CS3001)

  • Unit 3 focuses on formal grammar and its application to syntax analysis.
  • Todays agenda includes formal grammar and its application to syntax analysis.
  • Lexemes and tokens are used for syntax analysis.
  • A parse tree is generated as output from syntax analysis.

Formal Grammar

  • Formal grammar consists of non-terminals (variables), terminals (constants), production rules (a→β), and a start symbol.
  • Non-terminals are represented by angle brackets, e.g., <Noun>, <Verb>, <Adjective>.
  • Terminals are the actual words or symbols in a language, e.g., "Learners," "are," "awesome."
  • Production rules specify how non-terminals can be rewritten in terms of other non-terminals or terminals.
  • Context Free Grammar (CFG): A type of formal grammar where the production rules can rewrite a nonterminal without any surrounding context.
  • Productions are of the format: A → αβ where Α ∈ N, αβ ∈ (N∪T)*
  • N is a set of Non-Terminals
  • T is a set of Terminals
  • S is the Start Symbol
  • P is a set of Productions

Types of Grammars

  • Type-0/Unrestricted Grammar: α→β (no restrictions)
  • Type-1/Context-Sensitive Grammar: αΑβ → αγβ | αΑβ (length of αβ ≤ length of γβ)
  • Type-2/Context-Free Grammar: A → α (A ∈ N, α ∈ (N∪T)*)
  • Type-3/Regular Grammar: A → aB, A → a (A, B ∈ N, a ∈ T)
  • CFGs are useful in describing programming languages.
  • Grammars can be designed well for expressions with associativity and precedence.
  • CFGS describe nested structures (parenthesis, matching begin-end-iff/then/else)

Parsing Techniques

  • A parser analyzes the token stream against the production rules to detect errors.
  • Output is a parse tree.
  • All leaf nodes are terminals
  • All interior nodes are non-terminals
  • In-order traversal produces the original input string.

Top-Down Parsing

  • Parser starts with the start symbol and tries to expand it using production rules.
  • Uses leftmost derivation.
  • Can use backtracking.
  • Problems include backtracking overhead.

Bottom-Up Parsing

  • Parser starts with the given input string and repeatedly reduces substrings to higher-level non-terminals until it reaches the start symbol.
  • Uses rightmost derivation in reverse
  • Handles both ambiguous and left-recursive grammars
  • More powerful than top-down parsing

Shift-Reduce Parsers

  • Parsing algorithm that uses shift and reduce actions.
  • Shift: pushes a terminal onto the stack.
  • Reduce: pops symbols from the stack and replaces them with a non-terminal based on grammar rules.

LL(1) Parsers

  • Predictive parser that uses a parsing table to determine the next action.
  • The input is scanned from left to right and leftmost derivation is used.

Issues in CFGs

  • Ambiguity: Having more than one valid parse tree for the same string.
  • Left-recursion: A rule where a non-terminal can produce itself at the start of the rule.
  • Eliminating left recursion enables top-down parsers.
  • Replacing a→ Aa' with a→ a'α helps eliminate the ambiguity.
  • Left Factoring: Simplifying grammar rules that have common initial prefixes in multiple productions
  • Simplifies decision making in parsing.

Formal Grammars - First() and Follow() Functions

  • FIRST(X): Set of all terminals that can begin a string derived from X.
  • FOLLOW(X): Set of all terminals that can follow X in a string derived from the start symbol.

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