Learn to build spell checkers and grammar correction models using Python. Explore NLP packages, POS tagging, heuristic methods, and transformer-based spellcheckers for practical use.

Spell Check and Grammar Parsing using Natural Language Processing.png

gector.tar.gz

python3.8

gector job-spa

python 3.7 (no warning)

python3.7

In this course, you’ll learn the details of spell check and grammatical error correction systems by creating them with their basic building blocks. You’ll explore natural language processing packages like NLTK, pandas, spaCy, Fuzz, GECToR, HuggingFace, and more. 

You’ll build the Norvig spellchecker and understand how modern machine learning-based spellcheckers work. This is followed by the mathematical concepts required for identifying part-of-speech (POS) tags for grammatical error checking. You’ll then implement a POS rule-based grammar checker, using a heuristic-based approach to correct grammar mistakes. Finally, you’ll learn to develop a transformer-based spellchecker using HuggingFace’s transformer libraries through a hands-on final project.

After completing this course, you’ll fully understand how modern spellcheckers and grammar correction software work and how these can be integrated into natural language corrector systems such as Grammarly.

Building Grammatical Error Correction Models with Python

They may not handle all possible use cases.

They are effective for fixing common grammatical errors.

They can be created without the need to POS tag sentences.

They can be created without relying on pattern detection.

What is a weakness of rule-based grammar correction?

What is a weakness of rule-based grammar correction?

Utilizing a corpus of known grammar erros

What is *not* a step in creating a rule-based grammar checker? 

What is not a step in creating a rule-based grammar checker?

Checking that a sentence has been POS tagged.

**(Select all that apply.)** Which of the following are examples of grammar objects?

(Select all that apply.) Which of the following are examples of grammar objects?

Which concept is indirectly used during rule-based grammar checking?

Which concept is indirectly used during rule-based grammar checking?

Test your knowledge of a rule-based grammar checker and apply this knowledge to a brief assessment.

Introduction

Edit Distance

Basic Spellchecker

Modern Spell Check Methods

Part-of-Speech Tagging

Basic Grammatical Error Checking

Modern Grammar Error Correction Methods

Project: Simple Transformer

Conclusion

Auto-Tagging System for Content Categorization

Quiz: Basic Grammar Checker