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Python Natural Language Processing

You're reading from Python Natural Language Processing Advanced machine learning and deep learning techniques for natural language processing

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787121423

Length 486 pages

Edition 1st Edition

Languages

Processing

Tools

Processing

Concepts

Artificial Intelligence

Author (1):

Jalaj Thanaki

View More author details

Table of Contents (21) Chapters

Title Page

Credits

Foreword

About the Author

Acknowledgement

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Introduction FREE CHAPTER

2. Practical Understanding of a Corpus and Dataset

3. Understanding the Structure of a Sentences

4. Preprocessing

5. Feature Engineering and NLP Algorithms

6. Advanced Feature Engineering and NLP Algorithms

7. Rule-Based System for NLP

8. Machine Learning for NLP Problems

9. Deep Learning for NLU and NLG Problems

10. Advanced Tools

11. How to Improve Your NLP Skills

12. Installation Guide

Applications

In this section, I have divided the applications into two sections; one is the NLP application and the other one is the generalized AI application.

NLP applications using the rule-based system

Here, we mention some of the NLP applications that use the RB system:

Sentence boundary detection:
- Sentence boundary detection is easy for general English writing but it will be complicated when you are dealing with research papers or other scientific documents
- So, handcrafted post-processing rules will help us to identify the sentence boundary accurately
- This approach has been used by Grammarly Inc. for the grammar correction system
Machine translation:
- When we think of a machine translation system, in our mind, we think of the Google Neural Machine Translation (GNMT) system
- For many Indian languages, Google used to use a complex rule-based system with a statistical prediction system, so they have an hybrid system
- In 2016, Google launched the neural network based MT system
- Many research projects...

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Authors (1)

Jalaj Thanaki

Jalaj Thanaki

Jalaj Thanaki is an experienced data scientist with a demonstrated history of working in the information technology, publishing, and finance industries. She is author of the book Python Natural Language Processing, Packt publishing. Her research interest lies in Natural Language Processing, Machine Learning, Deep Learning, and Big Data Analytics. Besides being a data scientist, Jalaj is also a social activist, traveler, and nature-lover.

See other products by Jalaj Thanaki

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