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Natural Language Understanding with Python

You're reading from   Natural Language Understanding with Python Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781804613429
Length 326 pages
Edition 1st Edition
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Author (1):
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Deborah A. Dahl Deborah A. Dahl
Author Profile Icon Deborah A. Dahl
Deborah A. Dahl
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Getting Started with Natural Language Understanding Technology
2. Chapter 1: Natural Language Understanding, Related Technologies, and Natural Language Applications FREE CHAPTER 3. Chapter 2: Identifying Practical Natural Language Understanding Problems 4. Part 2:Developing and Testing Natural Language Understanding Systems
5. Chapter 3: Approaches to Natural Language Understanding – Rule-Based Systems, Machine Learning, and Deep Learning 6. Chapter 4: Selecting Libraries and Tools for Natural Language Understanding 7. Chapter 5: Natural Language Data – Finding and Preparing Data 8. Chapter 6: Exploring and Visualizing Data 9. Chapter 7: Selecting Approaches and Representing Data 10. Chapter 8: Rule-Based Techniques 11. Chapter 9: Machine Learning Part 1 – Statistical Machine Learning 12. Chapter 10: Machine Learning Part 2 – Neural Networks and Deep Learning Techniques 13. Chapter 11: Machine Learning Part 3 – Transformers and Large Language Models 14. Chapter 12: Applying Unsupervised Learning Approaches 15. Chapter 13: How Well Does It Work? – Evaluation 16. Part 3: Systems in Action – Applying Natural Language Understanding at Scale
17. Chapter 14: What to Do If the System Isn’t Working 18. Chapter 15: Summary and Looking to the Future 19. Index 20. Other Books You May Enjoy

Understanding the basics of natural language

We don’t yet have any technologies that can extract the rich meaning that humans experience when they understand natural language; however, given specific goals and applications, we will find that the current state of the art can help us achieve many practical, useful, and socially beneficial results through NLP.

Both spoken and written languages are ubiquitous and abundant. Spoken language is found in ordinary conversations between people and intelligent systems, as well as in media such as broadcasts, films, and podcasts. Written language is found on the web, in books, and in communications between people such as emails. Written language is also found in the free text fields of forms and databases that may be available online but are not indexed by search engines (the invisible web).

All of these forms of language, when analyzed, can form the basis of countless types of applications. This book will lay the basis for the fundamental analysis techniques that will enable you to make use of natural language in many different applications.

You have been reading a chapter from
Natural Language Understanding with Python
Published in: Jun 2023
Publisher: Packt
ISBN-13: 9781804613429
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