Here is a curated list of Natural Language Processing (NLP) books that are essential reading for anyone looking to dive deeper into the field. These books cover a range of topics from the basics of NLP to advanced techniques and applications.
"Speech and Language Processing" by Daniel Jurafsky and James H. Martin This book is a comprehensive introduction to the field of NLP, covering everything from the fundamentals of linguistics to the latest in machine learning techniques.
Speech and Language Processing"Natural Language Processing with Python" by Steven Bird, Ewan Klein, and Edward Loper This book is perfect for those who want to learn how to apply NLP techniques using Python. It provides a practical introduction to the tools and libraries available for NLP tasks.
Natural Language Processing with Python"Deep Learning for Natural Language Processing" by Colah's Blog Written by a leading researcher in the field, this blog post series is a fantastic resource for understanding the intersection of deep learning and NLP.
Deep Learning for Natural Language Processing"The Hundred-Page Machine Learning Book" by Andriy Burkov This concise book provides a broad overview of machine learning, with a focus on NLP-specific topics. It's an excellent resource for those looking to quickly grasp the core concepts.
The Hundred-Page Machine Learning Book
For further reading on NLP, you might also want to check out our NLP Resources.
If you're interested in learning more about the applications of NLP, we recommend exploring our NLP Applications Guide.