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  1. © 2025 National Institute of Technology Kurukshetra. All Rights Reserved.

    CSTC409 Natural Language Processing

    Prerequisites:

    No prerequisites for this course

    Course Nature:
    Objectives:
  1. To learn the fundamentals of Natural Language Processing (NLP) and its algorithms.
  2. To understand machine translation and applications of NLP.
  3. To gain basic understanding of deep learning models for NLP.
    4. Similar Courses:

    Course Coordinator

    Dr. Sushil Kumar Madan
    Dr. Sushil Kumar Madan

    Professor

    skmadan@nitkkr.ac.in

    9416292144

    Content

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    Outcomes

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    1. Understand the algorithmic approach to NLP.
    2. Understand sentence structure and the computational model of natural languages.
    3. Understand the data science approach to machine translation and its applications.
    4. Understand machine learning approaches to NLP.
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    Reference Books

    1. Jalaj Thanaki, 'Python Natural Language Processing', Packt Publishing Ltd, 2017.

    2. Cole Howard, Hannes Max Hapke, and Hobson Lane, 'Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python', Manning, 2019.

    3. Daniel Jurafsky, James H. Martin, 'Speech and Language Processing: An Introduction to Natural Language Processing', Computational Linguistics and Speech, Pearson Publication, 2014.