“Foundations of Statistical Natural Language Processing”
The book contains all the theory and algorithms that you will ever need for building NLP tools. It broadly covers mathematical and linguistic foundations and also has statistical methods discussed in details. Thus, this book allows the students and researcher to construct their own implementations.
Why should one learn from this book?
- Covers collocation finding and word sense disambiguation
- Explains Probabilistic parsing , information retrieval, and other applications.
Authors: Christopher D. Manning and Hinrich Schütze
Top Natural Language Processing (NLP) Books
It is important to understand both theoretical foundations and practical applications when it comes to NLP. There are many books available that cover all the key concepts, methods, and tools you need. Whether you are a beginner or a professional, choosing the right book can be challenging.
In this article, we will look at some Top NLP books, Why they are unique, and why you should read them.
Table of Content
- Top 7 Natura Language Books(NLP) Books
- 1. Practical Natural Language Processing
- 2. Speech and Language Processing
- 3. Foundations of Statistical Natural Language Processing
- 4. Neural Network Methods in Natural Language Processing
- 5. Natural Language Understanding
- 6. Natural Language Processing with Python
- 7. Natural Language Processing in Action
- Additional NLP Books to Consider