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Building Grammar and Spell Checker App with Python | Python NLP Grammar Spell Check

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Introduction

In today’s video, we are excited to introduce a project focused on Natural Language Processing (NLP) within the realm of Machine Learning. This time, we will embark on creating a Grammar and Spell Checker application using Python. Our application will provide two functionalities: users can either type their text manually or upload a file for analysis.

Working Mechanism of the App

Let's explore how this app operates. When the user enters a sentence, such as “I wants to learn machine learning,” the application will identify spelling and grammar mistakes. For instance, it recognizes that “wants” should be corrected to “want.”

If a user were to input a sentence with intentional spelling mistakes, like “I wan to make a misteak in the spellin of machine learning,” the app will point out both the spelling and grammar errors present. It will display suggestions for corrections and highlight the mistakes.

Upon executing the application, once the user clicks the “correct” button, the app will return a comprehensive analysis of errors. If, for example, a user types “hello world I want to know machine learning," the app will check grammar and spelling and list the corrections required.

For instances where users have lengthy documents, the app is equipped to handle them efficiently. It identifies and corrects multiple mistakes in users' written text and provides personalized feedback.

Setting Up the App

To start building the app, follow these steps to create the necessary file structure and code:

  1. Create a Directory: Start by creating a directory for your project and within it, create an index.html file for the frontend interface.

  2. Install Required Libraries: Make sure to install Flask and related libraries like textblob and gingerit for text correction.

  3. Backend Code (app.py): In the backend, you'll use Flask to handle user requests. Create two separate routes: one for spell checking and another for grammar checking.

  4. Model Creation: You'll establish a model that includes functions for both spell checking and grammar checking. This model utilizes the textblob library for spelling corrections and the gingerit library for identifying grammatical errors.

  5. HTML/CSS: Use Bootstrap for the interface design to make it user-friendly, enabling users to input text or upload files.

  6. Deploy and Test: Run the application and test the grammar and spelling features using different amounts of text and various file types.

Example Output

Using a document with sentences like "One day I was playing with my friends," the app will point out grammar violations and provide corrections. If a user has input errors, the app will correct them efficiently and offer feedback for learning.

The potential errors may include capitalization issues, incorrect verb forms, or spelling mistakes. After the application analyzes the text, it will present a comprehensive list of the mistakes found.

Final Touches

It’s important to note that while the system performs well, it may not catch 100% of errors, providing a detection rate of about 90-95%. To improve your skills and understanding in the world of Machine Learning, I encourage you to explore my playlist dedicated to Machine Learning projects.

If you haven't subscribed to my channel yet, consider doing so. Share the content with fellow learners, and let me know your thoughts in the comments. I am here to assist anyone with queries or suggestions for future projects.

Thank you for watching, and I look forward to seeing you in the next one. Until then, happy coding!


Keywords

  • Grammar Checker
  • Spell Checker
  • Python
  • Natural Language Processing (NLP)
  • Machine Learning
  • Flask
  • Text Correction
  • User Interface
  • TextBlob
  • GingerIt

FAQ

Q1: What is the purpose of the Grammar and Spell Checker App?
A1: The app is designed to detect and correct grammar and spelling mistakes in user-provided text or uploaded documents.

Q2: What libraries does the project utilize?
A2: The project uses Flask for creating the web application, TextBlob for spell checking, and GingerIt for grammar checks.

Q3: Can users upload documents for checking?
A3: Yes, users can either type text manually or upload documents in supported formats for analysis.

Q4: How accurate is the app in detecting mistakes?
A4: The app correctly identifies about 90-95% of spelling and grammar mistakes.

Q5: Where can I find the source code for this project?
A5: The source code can be found in the description of the video or shared directly upon request.

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