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Hands-On Python Natural Language Processing

You're reading from   Hands-On Python Natural Language Processing Explore tools and techniques to analyze and process text with a view to building real-world NLP applications

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781838989590
Length 316 pages
Edition 1st Edition
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Authors (2):
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Mayank Rasu Mayank Rasu
Author Profile Icon Mayank Rasu
Mayank Rasu
Aman Kedia Aman Kedia
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Aman Kedia
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Table of Contents (16) Chapters Close

Preface 1. Section 1: Introduction
2. Understanding the Basics of NLP FREE CHAPTER 3. NLP Using Python 4. Section 2: Natural Language Representation and Mathematics
5. Building Your NLP Vocabulary 6. Transforming Text into Data Structures 7. Word Embeddings and Distance Measurements for Text 8. Exploring Sentence-, Document-, and Character-Level Embeddings 9. Section 3: NLP and Learning
10. Identifying Patterns in Text Using Machine Learning 11. From Human Neurons to Artificial Neurons for Understanding Text 12. Applying Convolutions to Text 13. Capturing Temporal Relationships in Text 14. State of the Art in NLP 15. Other Books You May Enjoy

Phonemes, graphemes, and morphemes

Before we start looking at the steps for building vocabulary, we need to understand phonemes, graphemes, and morphemes:

  • Phonemes can be thought of as the speech sounds, made by the mouth or unit of sound, that can differentiate one word from another in a language.
  • Graphemes are groups of letters of size one or more that can represent these individual sounds or phonemes. The word spoon consists of five letters that actually represent four phonemes, identified by the graphemes s, p, oo, and n.
  • A morpheme is the smallest meaningful unit in a language. The word unbreakable is composed of three morphemes:
    • un—a bound morpheme signifying not
    • break—the root morpheme
    • able—a free morpheme signifying can be done

Now, let's delve into some practical aspects that form the base of every NLP-based system.

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