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Python Natural Language Processing

You're reading from  Python Natural Language Processing

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781787121423
Pages 486 pages
Edition 1st Edition
Languages
Toc

Table of Contents (13) Chapters close

Preface 1. Introduction 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

Discussing recent trends for the rule-based system

This section is a discussion about how the current market is using the RB system. So many people are asking many questions on different forums and they want to know about the future of the RB system, so I want to discuss with you one important question which will help you to learn the future trends of the NLP market and RB system. I have some of the questions that we will look at.

Are RB systems outdated in the NLP domain? I would like to answer this with NO. The RB system has been used majorly in all NLP applications, grammar correction, speech recognition, machine translation, and so on! This approach is the first step when you start making any new NLP application. If you want to experiment on your idea, then prototypes can be easily developed with the help of the RB approach. For prototyping, you need domain knowledge and basic...

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