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Data Augmentation with Python

You're reading from   Data Augmentation with Python Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781803246451
Length 394 pages
Edition 1st Edition
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Author (1):
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Duc Haba Duc Haba
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Duc Haba
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Data Augmentation
2. Chapter 1: Data Augmentation Made Easy FREE CHAPTER 3. Chapter 2: Biases in Data Augmentation 4. Part 2: Image Augmentation
5. Chapter 3: Image Augmentation for Classification 6. Chapter 4: Image Augmentation for Segmentation 7. Part 3: Text Augmentation
8. Chapter 5: Text Augmentation 9. Chapter 6: Text Augmentation with Machine Learning 10. Part 4: Audio Data Augmentation
11. Chapter 7: Audio Data Augmentation 12. Chapter 8: Audio Data Augmentation with Spectrogram 13. Part 5: Tabular Data Augmentation
14. Chapter 9: Tabular Data Augmentation 15. Index 16. Other Books You May Enjoy

Character augmenting

Character augmentation substitutes or injects characters into the text. In other words, it creates typing errors. Therefore, the method seems counterintuitive. Still, just like noise injection in image augmentation, scholarly published papers illustrate the benefit of character augmentation in improving AI forecasting accuracy, such as Effective Character-Augmented Word Embedding for Machine Reading Comprehension by Zhuosheng Zhang, Yafang Huang, Pengfei Zhu, and Hai Zhao, from the 2018 CCF International Conference on Natural Language Processing.

The three standard methods for character augmentation are listed as follows:

  • The Optical Character Recognition (OCR) augmenting function substitutes frequent errors in OCR by converting images into text, such as the letter o into the number 0 or the capital letter I into the number 1.
  • The Keyboard augmenting method replaces a character with other characters that are adjacent to it. For example, a typical...
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