Defining Langugae by Grammar

Duration: 6 min

This video lesson is available to enrolled students.

Return to /learn/MPPSC-ASSISTANT-PROFESSOR-COMPUTER-SCIENCE-PAPER-2/compiler-design/grammar-cfg/grammar-basics-chomsky/asset-defining-langugae-by-grammar 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 introduction to formal grammars, specifically focusing on how to determine the language generated by a given context-free grammar. The instructor begins by dissecting a specific grammar problem, identifying its four components: non-terminals, terminals, productions, and the start symbol. He then walks through the step-by-step derivation of strings to reveal the underlying pattern of the language. Finally, the lecture transitions to theoretical definitions, clarifying the rules of production substitution and formally defining the language of a grammar using set notation and derivation closure.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor introduces a specific problem on the whiteboard: "If G = ({S}, {0, 1}, {S -> 0S1, S -> Lambda}, S), find L(G)." He systematically breaks down the grammar tuple, writing labels underneath each part to identify Vn (non-terminals), Sigma (terminals), P (productions), and S (start symbol). He explicitly writes out the production rules S -> 0S1 and S -> Lambda, explaining that Lambda represents the empty string, often denoted as epsilon. He emphasizes that the goal is to find the set of all strings generated by these rules.

  2. 2:00 – 5:00 02:00-05:00

    The instructor demonstrates the generation of strings using derivation trees. He starts with the base case where S -> Lambda produces the empty string. He then applies the rule S -> 0S1 followed by S -> Lambda to generate the string "01". He continues this process, drawing larger trees to show how "0011" and "000111" are formed. By observing these examples, he deduces the general pattern and writes the final language definition on the board as L = {0^n 1^n | n >= 0}. He highlights that n must be greater than or equal to zero.

  3. 5:00 – 6:15 05:00-06:15

    The lecture moves to a slide titled "Some points to note about productions." The instructor explains that reverse substitution is not permitted, illustrating that if S -> AB exists, one cannot replace AB with S. He then presents a slide on "Defining a language by grammar," introducing the formal notation L(G) = {w | w in Sigma*, S =>* w}. He explains that the symbol =>* represents the reflexive, transitive closure, meaning a string w is in the language if it can be derived from the start symbol S in zero or more steps. He briefly compares this to machine language definitions.

The lesson effectively bridges the gap between practical problem-solving and theoretical formalism. It begins with a concrete exercise where students learn to generate strings from a grammar to identify a pattern, reinforcing the concept of derivation. It then solidifies this understanding by defining the formal rules of production and the mathematical notation used to describe the language of a grammar, ensuring a complete grasp of how grammars define languages in formal language theory.

Loading lesson…