Designing LL(1) Parser Part-3
Duration: 6 min
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Inside: a video lesson and guided study material.
Module outline
- Discrete Mathematics: Permutation, Combination and Probability / क्रमचय, संचय एवं प्रायिकता, Set Theory, Relations, Functions, Propositional and Predicate Logic, Graph Theory, Group Theory
- Digital Logic: Digital Systems & Boolean Basics, Boolean Expression, Boolean Minimization, Logic Gates & Hardware, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Floating Point Rep
- Computer Organization and Architecture: Basics of COA, Programming the Basic Computer, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Pipelining, Multiprocessors
- Programming: Language Design, C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, OOPS with C++
- Data Structures: Introduction to DS, Array, Linked List, Stack, Queue, Tree, Graphs, Hashing
- Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
- Theory of Computation: Grammar, Regular Language Properties, Moore & Mealy Machines, Turing Machines
- 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, Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Pushdown Automata & CFG, Complexity Theory
- Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS, Linux OS, Security
- Database Management Systems: 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, ORDBMS, NoSQL
- Computer Networks: Introduction to CN, Data Communication, 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, Network Security
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
The video is a lecture on compiler design, specifically focusing on LL(1) parsing. The instructor begins by reviewing the FIRST and FOLLOW sets for a given grammar, which is visible on the left side of the board. He then demonstrates the parsing process using the input string `id + id * id` by constructing a parse tree step-by-step. The lecture progresses from theoretical set calculations to practical application, showing how grammar rules are applied to match input tokens.
Chapters
0:00 – 2:00 00:00-02:00
The video opens with a view of a whiteboard containing compiler design notes. On the left, a grammar is listed: `E -> E + T / T`, `T -> T * F / F`, `F -> (E) / id`. Below the grammar, the instructor has calculated FIRST and FOLLOW sets. Visible text includes `F(E) = { (, id }`, `Fol(E) = { $, ) }`, `F(E') = { +, e }`, `F(T) = { (, id }`, `F(T') = { *, e }`, and `F(F) = { *, +, $ }`. He points to a large red grid representing the LL(1) parsing table. The rows are labeled E, E', T, T', F and columns are +, *, (, ), id, $. He mentions the table dimensions are `m x (n+1)`. He is explaining how to populate this table using the sets. Specific productions like `E -> TE'` are visible in the `(` and `id` columns. `E' -> +TE'` is in the `+` column. `E' -> e` is in the `)` and `$` columns. `T -> FT'` is in `(` and `id`. `T' -> *FT'` is in `*`. `T' -> e` is in `+`, `)`, `$`. `F -> (E)` is in `(`. `F -> id` is in `id`. The instructor's name "Sanchit Jain Sir" is visible at the bottom left.
2:00 – 5:00 02:00-05:00
The instructor begins a practical example. He writes the input string `id + id * id` at the top right. He starts drawing a parse tree below the table using blue ink. He begins with the root `E`. He draws branches for `T` and `E'` based on the production `E -> T E'`. He expands `T` into `F` and `T'`. He expands `F` into `id`. He draws an arrow from the leaf `id` to the first token of the input string. He then looks at the next token `+` and expands `E'` into `+ T E'`. He expands the new `T` into `F T'` and `F` into `id`, matching the second token. He then sees `*` and expands `T'` into `* F T'`. He expands `F` into `id`, matching the third token. He continues to expand the remaining non-terminals. He draws the tree structure carefully, showing the hierarchy of the grammar rules. He uses arrows to link the input string tokens to the corresponding leaves in the tree. The tree has multiple levels, with `E` at the top and terminals at the bottom.
5:00 – 5:48 05:00-05:48
The instructor completes the parse tree. He expands the final `T'` and `E'` into epsilon (`e`) to handle the end of the string `$`. He draws the final branches and leaves. He puts a blue checkmark next to the input string `id + id * id` to signify that the string is successfully parsed by the grammar. He gestures with his hands to emphasize the structure of the tree. The video ends with the completed parse tree visible on the board. The tree shows the derivation of the expression. The leaves of the tree, read from left to right, form the input string.
The lecture progresses from theoretical set calculations to practical application. The instructor first establishes the necessary FIRST and FOLLOW sets for a standard arithmetic grammar. He then uses these sets to guide the construction of an LL(1) parsing table. Finally, he demonstrates the parsing algorithm by manually constructing a parse tree for the expression `id + id * id`, showing how the grammar rules are applied step-by-step to match the input tokens. The visual progression from the table to the tree illustrates the parsing process clearly.

