Designing LL(1) Parser Part-2

Duration: 6 min

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Inside: a video lesson and guided study material.

Module outline

  1. General Intelligence & Reasoning: Analogy, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Logical Sequence Of Words, Syllogisms, Venn Diagram, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Data Sufficiency, Puzzle Solving (Puzzles), Data Arrangement, Cubes & Dices, Calendar, Clock, Arithmetic, Number System, HCF LCM, Verbal Analogy (Word Based Analogy), Visual Recognition and Figure Completion, Paper Folding and Cutting, Transformation of Shapes, Clocks and Calendars, Direction Sense, Cubes and Dice, Patterns in Two-Dimensional Figures, Seating Arrangements, Analogy and Classification, Logical Deduction and Induction, Alphabet and Word Tests, Mathematical Operations, Series Completion, Simplification and Approximation, Coding and Decoding, Numerical Reasoning, Assembling and Grouping of Shapes, Three-Dimensional Patterns and Visualization, Vocabulary, Number System, Averages, Mixtures and Alligation, Simple and Compound Interest, Percentages, Algebra, Speed, Time and Distance, Seating and Arrangement Puzzles, Traverse Surveying, Order, Ranking and Sequence, Constraint Puzzles, Syllogisms and Venn Diagrams, Reading Comprehension, Critical Reasoning, Permutations and Combinations, Narrative Sequencing, Project Monitoring, Resources and Safety, Profit, Loss and Discount, Ratio and Proportion, Time and Work, Mensuration, Data Interpretation, Powers, Surds and Logarithms, Sequences and Series, Articles and Determiners, Sentence Completion, Data Sufficiency, Blood Relations, Simple Interest and Compound Interest, Mixture and Alligation, Sequence and Series (Series), Speed Time and Distance, Algebra, Profit and Loss, Powers and Exponents (Surds and Indices), Permutation and Combination
  2. General Awareness: Physics, Chemistry, Biology, History, Geography, Polity, Indian Economy, Environment, Static General Knowledge, GK- Current Affairs, Artificial Intelligence, MS Office Applications, Terms & Abbreviations, Keyboard Shortcuts, Evolution of Indian Banking (Banking & Financial Awareness), Emerging Tech Trends
  3. Engineering Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Linear Algebra, Calculus, Probability, Statistics, Signal Space and Optimum Detection, Probability, Statistics
  4. Digital Logic: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Floating Point Rep, Number Systems and Codes, Registers and Counters, Boolean Algebra and Logic Gates, Microprocessors and Microcontrollers, Logic Families and CMOS Logic, Microprocessors, Logic Gates and Boolean Algebra, Minimization of Boolean Functions, Timing, Hazards and Testing, Logic Families, Combinational Logic Design, Arithmetic Circuits, Waveform Generators and Timer Circuits, Semiconductor Memories and Programmable Logic Devices, Combinational Logic Circuits, Latches and Flip-Flops, Finite State Machines, Sequential Circuits and State Machines, Minimization of Boolean Functions, Arithmetic Circuits, Latches and Flip-Flops, Number Systems and Codes, Registers and Counters
  5. Computer Organisation & Architecture: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Programming the Basic Computer, Register Transfer and Microoperations, Semiconductor Memories and Programmable Logic, Processor Organization and Instructions, Memory Hierarchy and Input/Output, Registers and Counters
  6. Programming & Data Structures: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, HTML Basics, OOPS with C++, Java, Object Oriented Technology
  7. Databases: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, Database Security & Authorization
  8. Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos
  9. 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
  10. 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
  11. Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Security, Windows OS, Distributed Systems, Unix OS, Linux OS
  12. Computer Networks: Introduction to CN, 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, Application Layer, Hardware Basics, Data Communication, Website, Browser & Services, Web Design & Development, Network Security, Cyber Threats and Malware Attacks, Cyber Safety and Security
  13. Full Length Mock Tests:
  14. Sectional 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.

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