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  1. © २०२५ राष्ट्रीय प्रौद्योगिकी संस्थान कुरुक्षेत्र। सर्वाधिकार सुरक्षित।

    CSTC409 Natural Language Processing

    आवश्यकताएँ:

    इस कोर्स के लिए कोई आवश्यकता नहीं

    कोर्स प्रकृति:
    उद्देश्य:
  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. समान कोर्स:

    समन्वयक

    Dr. Sushil Kumar Madan
    Dr. Sushil Kumar Madan

    Professor

    skmadan@nitkkr.ac.in

    9416292144

    सामग्री

    ChariotHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorse

    परिणाम

    ChariotHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorse
    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.
    ChariotHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorse

    संदर्भ पुस्तकें

    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.