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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

Natural Language Understanding, Related Technologies, and Natural Language Applications

Natural language, in the form of both speech and writing, is how we communicate with other people. The ability to communicate with others using natural language is an important part of what makes us full members of our communities. The first words of young children are universally celebrated. Understanding natural language usually appears effortless, unless something goes wrong. When we have difficulty using language, either because of illness, injury, or just by being in a foreign country, it brings home how important language is in our lives.

In this chapter, we will describe natural language and the kinds of useful results that can be obtained from processing it. We will also situate natural language processing (NLP) within the ecosystem of related conversational AI technologies. We will discuss where natural language occurs (documents, speech, free text fields of databases, etc.), talk about specific natural languages (English, Chinese, Spanish, etc.), and describe the technology of NLP, introducing Python for NLP.

The following topics will be covered in this chapter:

  • Understanding the basics of natural language
  • Global considerations
  • The relationship between conversational AI and NLP
  • Exploring interactive applications
  • Exploring non-interactive applications
  • A look ahead – Python for NLP

Learning these topics will give you a general understanding of the field of NLP. You will learn what it can be used for, how it is related to other conversational AI topics, and the kinds of problems it can address. You will also learn about the many potential benefits of NLP applications for both end users and organizations.

After reading this chapter, you will be prepared to identify areas of NLP technology that are applicable to problems that you’re interested in. Whether you are an entrepreneur, a developer for an organization, a student, or a researcher, you will be able to apply NLP to your specific needs.

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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