Designing LL(1) Parser Part-2

Duration: 6 min

This video lesson is available to enrolled students.

Return to /learn/MPPSC-ASSISTANT-PROFESSOR-COMPUTER-SCIENCE-PAPER-2/compiler-design/syntax-analysis-top-down/ll1-parser-table/asset-designing-ll1-parser-part-2 after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. Paper 1 | General Studies: State Wise GK
  3. Paper 1 | Information and Communication Technology: Role of Internet and Web Services, Security in Mobile and Wireless Computing
  4. Paper 1 | Current Affairs: GK- Current Affairs
  5. Paper 2 | Discrete Mathematical Structure: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Probability
  6. Paper 2 | Digital Computer Organization And Architecture: Number System, Number Representation, Sequential Circuits, Combinational Circuit, Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer
  7. Paper 2 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  8. Paper 2 | Programming Languages & Object-Oriented Programming Concepts: Java, OOPS with C++, Java Fundamentals, Array, String, IO & References
  9. Paper 2 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  10. Paper 2 | Data Structure And Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Minimum Spanning Trees, Advanced Algorithms
  11. Paper 2 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS
  12. Paper 2 | Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory
  13. Paper 2 | Compiler Design: Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  14. Paper 2 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, Transaction Management, Concurrency Control, Database Recovery, Database Security & Authorization, Enhanced Data Models
  15. Paper 2 | Computer Network And Information Security: Introduction to CN, Data Communication, Application Layer, Hardware basics, Cyber Threats and Malware Attacks, Network Security, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP
  16. Paper 2 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  17. Paper 2 | Current Trends & Technologies: Emerging Tech Trends, Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Planning, Multi Agent Systems, Fuzzy Sets, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms, Artificial Intelligence, Data Warehousing & Mining, Electronic Data Interchange and E-Commerce, Terms & Abbreviations
  18. Paper 2 | Full Length Mock Tests:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video lecture provides a comprehensive guide to constructing a predictive parsing table for a context-free grammar used in compiler design. The instructor starts by presenting a standard arithmetic expression grammar involving addition, multiplication, parentheses, and identifiers. He demonstrates the critical step of eliminating left recursion to transform the grammar into a form suitable for LL(1) parsing. Following this transformation, he systematically calculates the First and Follow sets for all non-terminals, including E, E', T, T', and F. The core of the lecture involves filling out a parsing table based on these sets, placing production rules into specific cells determined by the terminal symbols. The instructor verifies that the resulting table is conflict-free, confirming the grammar's LL(1) property, which is essential for deterministic top-down parsing.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor begins by writing the original grammar rules on the left side of the board: E -> E + T / T, T -> T * F / F, and F -> (E) / id. He explains the need to remove left recursion to make the grammar suitable for predictive parsing. He then writes the transformed grammar: E -> T E', E' -> + T E' / epsilon, T -> F T', T' -> * F T' / epsilon, and F -> (E) / id. Below this, he systematically calculates the First and Follow sets for each non-terminal. Visible sets include First(E) = {(, id}, Follow(E) = {$, )}, First(E') = {+, epsilon}, and Follow(E') = {$, )}. He also lists First(T) = {(, id}, Follow(T) = {+, *, ), $}, First(T') = {*, epsilon}, Follow(T') = {+, *, ), $}, First(F) = {(, id}, and Follow(F) = {+, *, ), $}. He then begins the process of constructing the parsing table by identifying the terminals +, *, (, ), id, and $. He places the production E -> T E' into the cells corresponding to the First set of E, which are ( and id.

  2. 2:00 – 5:00 02:00-05:00

    The instructor proceeds to fill the remaining cells of the parsing table. For the non-terminal E', he places the production E' -> + T E' in the column for the terminal +. He then places the epsilon production E' -> epsilon in the columns corresponding to the Follow set of E', which are ) and $. Moving to the row for T, he places T -> F T' in the ( and id columns, matching the First set of T. For the non-terminal T', he places T' -> * F T' in the * column. He then fills the epsilon production T' -> epsilon into the columns for +, *, ), and $, which correspond to the Follow set of T'. Finally, for the row F, he places F -> (E) in the ( column and F -> id in the id column.

  3. 5:00 – 6:18 05:00-06:18

    The instructor completes the final entries in the parsing table, ensuring that all epsilon productions are correctly mapped to the Follow sets of their respective non-terminals. He reviews the entire table, pointing out that every cell contains at most one production rule. He states that the absence of conflicts in the table confirms that the grammar is LL(1). He explains that this property allows the parser to make deterministic decisions without backtracking. He concludes the lecture by summarizing the importance of the predictive parsing table in compiler construction.

This lecture connects grammar transformation with parsing table construction. By removing left recursion and calculating First and Follow sets, the instructor shows how to build a predictive parsing table. The final conflict-free table demonstrates that the grammar is LL(1), allowing for efficient parsing without backtracking. This process is fundamental for understanding how compilers analyze and translate source code.

Loading lesson…