Here are some essential books for learning Natural Language Processing:

📚 Classic Textbooks

  • "Speech and Language Processing" by Daniel Jurafsky & James H. Martin
    A comprehensive guide covering foundational concepts and modern techniques.

    Natural Language Processing

  • "Natural Language Understanding" by Stuart Shieber & others
    Focuses on computational models for language comprehension.

    NLP Understanding

  • "Foundations of Statistical Natural Language Processing" by Christopher D. Manning & Hinrich Schütze
    Ideal for understanding statistical methods in NLP.

    Statistical NLP

📚 Advanced Resources

  • "Deep Learning for Natural Language Processing" by Liang et al.
    Explores neural network applications in NLP.

    Deep Learning NLP

  • "Neural Networks for NLP" by Yoav Goldberg
    A modern approach to leveraging deep learning for language tasks.

    Neural Networks NLP

📚 Practical Guides

  • "Hands-On Natural Language Processing with Python" by Bhavana Jain
    Hands-on projects for applying NLP techniques using Python.
    Python NLP

For more resources, check out our NLP Courses or NLP Tools section! 🌐