Parsers: Shift reduce parsing and operator precedence parsing

Parsers: Shift reduce parsing and operator precedence parsing

• 1.
  Shift Reduce Parserin Compiler Design Compilers rely on parsing techniques to translate high-level programming languages into machine-readable code. The shift reduce parsing algorithm is a widely used method for parsing context-free grammars, playing a critical role in the compilation process. BY ABINAYASRI.S
• 2.
  Introduction to Parsing Whatis Parsing? Parsing is the process of analyzing the grammatical structure of a programming language. It involves breaking down source code into a hierarchical representation that can be understood by the compiler. Role in Compilation Parsing is a critical step in the compilation pipeline, converting high-level code into an intermediate representation the compiler can use to generate machine- readable instructions.
• 3.
  Context-Free Grammars Definition Context-free grammarsare a formal system used to specify the syntax of programming languages. They define the rules for generating valid sentences in a language. Production Rules Context-free grammars consist of a set of production rules that map non- terminal symbols to a sequence of terminals and non-terminals. Syntax Trees Parsing a program using a context- free grammar produces a hierarchical syntax tree that represents the grammatical structure of the code.
• 4.
  Shift Reduce ParsingTechnique How it Works Shift-reduce parsing is a technique that constructs the parse tree of a program by repeatedly shifting tokens from the input stream onto a stack, and then reducing the stack contents according to the grammar rules. Parsing Actions The parser alternates between two main actions: shifting a token onto the stack, or reducing a sequence of stack elements into a single nonterminal based on a grammar production. Parsing Table A parsing table guides the shift- reduce process, indicating whether to shift, reduce, or signal an error for each combination of current state and lookahead token.
• 5.
  Parsing Tables andActions Parsing Tables Parsing tables are used to guide the shift-reduce parsing process. They indicate whether to shift a token onto the stack, reduce based on a grammar rule, or signal an error for each state and lookahead token. Shift Action The shift action moves the next input token onto the parse stack, advancing the parser to the next state. Reduce Action The reduce action replaces a sequence of stack symbols matching the right- hand side of a grammar production with the corresponding left-hand side nonterminal. Resolve Conflicts When a parsing table contains both a shift and reduce action for the same state and lookahead, a shift-reduce conflict occurs that must be resolved.
• 6.
  Resolving Shift Reduce Conflicts Precedenceand Associativity Rules Define operator precedence and associativity to disambiguate shift-reduce conflicts. Speculative Parsing Explore multiple parsing paths in parallel to determine the correct action. Grammar Refactoring Modify the grammar to eliminate conflicts by restructuring productions. Conflict Resolution Strategies Prioritize shift over reduce or vice versa based on the specific use case.
• 7.
  Implementing a ShiftReduce Parser 1 Grammar Analysis Analyze the context-free grammar to identify terminals, nonterminals, and production rules. 2 Parsing Table Construction Generate the parsing table that defines the shift, reduce, and error actions for each state and lookahead token. 3 Stack Management Implement the stack data structure to store the sequence of tokens and nonterminals during parsing. 4 Shift-Reduce Logic Execute the core shift-reduce algorithm, alternating between shifting tokens and reducing the stack based on the parsing table. 5 Conflict Resolution Handle any shift-reduce or reduce-reduce conflicts that arise, using techniques like precedence and associativity rules.
• 8.
  Advantages and Limitations Efficiency Shift-reduceparsing is computationally efficient, making it well-suited for real- time or high-volume processing tasks. Simplicity The algorithm is relatively straightforward to implement compared to more complex parsing techniques. Limitation: Conflicts Shift-reduce conflicts can arise, requiring careful grammar design and conflict resolution strategies. Limitation: Expressiveness Shift-reduce parsing may struggle with highly complex or ambiguous grammars, limiting its expressiveness.
• 9.
  Conclusion and FutureDirections 1 Continued Research Ongoing efforts to enhance shift-reduce parsing through advanced conflict resolution strategies and optimizations for modern hardware and software architectures. 2 Integrating ML Exploring the potential of machine learning techniques to improve the adaptability and error-handling capabilities of shift-reduce parsers. 3 Parallelization Developing parallel and distributed shift-reduce parsing algorithms to meet the demands of high-throughput, real-time data processing applications. 4 Targeting New Languages Expanding the applicability of shift-reduce parsing to emerging programming paradigms and domain-specific languages.
• 10.
  Operator Precedence Parsing: Unlockingthe Power of Expression Evaluation Operator precedence parsing is a powerful technique that enables efficient evaluation of complex mathematical expressions. It determines the order in which operations are executed, ensuring accurate and reliable results.
• 11.
  Fundamentals of OperatorPrecedence Order of Operations The standard order of operations, often remembered as PEMDAS, specifies the priority in which mathematical operations are executed. This ensures consistent and predictable results when evaluating complex expressions. Order of Evaluation Operator precedence parsing determines the actual order in which operations are evaluated, considering not just the operation type but also associativity rules. This allows for accurate interpretation of ambiguous expressions.
• 12.
  Parsing Expression Grammars(PEGs) What are PEGs? Parsing Expression Grammars (PEGs) are a formal way to specify and parse programming language syntax. They define the structure of expressions using a recursive descent parsing approach. PEGs and Operator Precedence PEGs inherently capture operator precedence by specifying the order in which expressions are recognized and parsed. This allows for accurate interpretation of complex mathematical and logical expressions.
• 13.
  Constructing the OperatorPrecedence Table Identify Operators Start by listing all the operators that can appear in the expressions you need to parse. Determine Precedence Establish the relative precedence of the operators based on the order of operations rules. Assign Associativity Specify whether each operator is left-associative, right- associative, or non-associative. Construct the Table Organize the operator information into a 2D table to guide the parsing process.
• 14.
  Top-Down Recursive DescentParsing 1 Parse Expression The parser recursively breaks down the input expression into smaller subexpressions, following the rules specified in the operator precedence table. 2 Recognize Operators As the parser encounters operators, it determines their precedence and associativity to properly order the evaluation of the subexpressions. 3 Build Parse Tree The parser constructs a tree-like data structure that represents the syntactic structure of the expression, capturing the precedence and grouping of operations. 4 Evaluate Expression Once the parse tree is built, the parser can efficiently evaluate the expression by traversing the tree and performing the operations in the correct order.
• 15.
  Handling Associativity and Precedence RecognizeAssociativity The parser must correctly identify the associativity of each operator to determine the grouping of subexpressions during evaluation. Apply Precedence Rules By referring to the operator precedence table, the parser can correctly order the execution of operations based on their precedence levels. Resolve Ambiguity Proper handling of associativity and precedence ensures the parser can accurately interpret even the most complex and ambiguous expressions.
• 16.
  Error Handling andDiagnostics Robust Error Handling Operator precedence parsers must be able to gracefully handle syntax errors and unexpected inputs to provide meaningful feedback to users. Diagnostics and Reporting Clear diagnostics, including line numbers and detailed error messages, help users quickly identify and resolve issues in their expressions. Backtracking and Recovery The parser should be able to backtrack and try alternative parsing paths to recover from errors, rather than simply failing. Informative Feedback Providing users with helpful context about the nature of the error and suggestions for correction improves the overall user experience.
• 17.
  Practical Applications ofOperator Precedence Parsing Mathematical Calculations Accurately evaluating complex expressions in calculator apps and programming languages. Compilers and Interpreters Parsing programming language syntax and translating to machine- executable code. Spreadsheet Formulas Ensuring precise evaluation of formulas with mixed operations and parentheses. Formula Editors Providing intuitive interfaces for building and evaluating complex mathematical expressions.
• 18.
  THANK YOU