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Parsing Algorithms in Compiler Design

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Dr.Deeba K,Jeya R

4:21:15

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  • 1. Context Free Grammar, Derivation, Parse Tree.mp4
    09:51
  • 2. Introduction to parser in Compiler Design.mp4
    07:09
  • 3. Types of parser.mp4
    04:37
  • 1. Recursive Descent Parsing.mp4
    07:00
  • 2. Left Recursion and Left Factoring Elimination.mp4
    05:04
  • 3. FIRST of Variable.mp4
    11:24
  • 4. FOLLOW of Variable.mp4
    14:21
  • 5. Predictive Parser.mp4
    30:06
  • 6. Non LL1 Grammar.mp4
    13:18
  • 7. Non Recursive Predictive Parser.mp4
    13:06
  • 1. Leading and Trailing.mp4
    11:04
  • 2. Operator Precedence Parsing table construction.mp4
    12:31
  • 3. Parsing an input.mp4
    08:56
  • 1. Handle, Handle Pruning.mp4
    04:15
  • 2. Shift Reduce Parser.mp4
    05:39
  • 3. Simple LR Parser (SLR).mp4
    16:36
  • 4. SLR parser Example.mp4
    25:35
  • 5. SLR parser Example.mp4
    28:12
  • 6. Canonical LR Parser.mp4
    21:09
  • 7. LALR Parser.mp4
    11:22
  • Description


    Top down parsing and Bottom up parsing

    What You'll Learn?


    • Different types of parser in compiler
    • Recursive Descent Parsing
    • Predictive Parser
    • Operator Precedence Parser
    • Simple LR Parser
    • LALR and CLR parsers

    Who is this for?


  • Computer science students
  • Students preparing for Gate exams
  • Anyone planing for Government Exams in Computer Science base
  • What You Need to Know?


  • No prerequisites are there for this course.
  • More details


    Description

    Compiler design is a crucial aspect of programming language development, responsible for translating high-level source code into machine code that can be executed by a computer. One of the key phases in this process is parsing, where the compiler analyzes the syntactic structure of the source code to create a parse tree or abstract syntax tree. Various parsing algorithms are employed to achieve this, each with its strengths and weaknesses. This article explores the fundamentals of parsing algorithms in compiler design, shedding light on their significance and characteristics.

    Top-Down Parsing:

    Top-down parsing is an approach where the parsing process begins with the highest-level grammar production and gradually explores the lower-level productions until the entire parse tree is constructed. Common top-down parsing techniques include Recursive Descent Parsing and LL Parsing. Recursive Descent Parsing involves creating recursive procedures to match grammar rules, while LL Parsing utilizes a table-driven approach based on the LL(k) grammar class.

    Bottom-Up Parsing:

    In contrast, bottom-up parsing builds the parse tree from the leaves (tokens) to the root. Shift-Reduce Parsing and LR Parsing are popular bottom-up parsing techniques. Shift-Reduce Parsing involves shifting tokens onto a stack and then reducing them based on predefined grammar rules, while LR Parsing employs a state machine and a lookahead buffer to determine valid reductions.

    LR Parsing is a widely used bottom-up parsing technique with several variants, including SLR, LALR, and LR(1). These variants differ in the complexity of their parsing tables and the amount of lookahead information they consider. SLR (Simple LR) Parsing and LALR (Look-Ahead LR) Parsing are more efficient in terms of table size, while LR(1) Parsing offers greater parsing power at the cost of increased table complexity.

    Who this course is for:

    • Computer science students
    • Students preparing for Gate exams
    • Anyone planing for Government Exams in Computer Science base

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    Hi!! Im Deeba Kannan, working Assistant Professor in SRM Institute of Science and Technology. I completed my Doctorate in the field of IoT and Deep learning  model for Agricultural Enhancement. I love teaching and I am teaching B-Tech students for past 10 years. I do few youtube video lectures for my students in Theory of Computation, Artificial Intelligence and Compiler Design. Im interested more in to the core and base of computer science subjects.
    R.Jeya was born in Tirunelveli, Tamil Nadu, India. She obtained her B.E Degree in Electrical and Electronics Engineering at I.R.T.T Engineering College, Erode, Tamil Nadu affiliated to Bharathiyar University in the year 2003, M.E Degree in Computer Science and Engineering from Mannonmaniam Sundaranar University, Tirunelveli, India in the year 2005. After completing her post-graduation, she joined as a Lecturer in Department of Information Technology at Sri Krishna College of Engineering, Coimbatore during June 2005 to November 2006. Later, She Joined as an Assistant Professor in the Department of Computer Science and Engineering, SRMIST, Chennai
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 20
    • duration 4:21:15
    • Release Date 2024/04/11