📝 Spelling Correction Using Closest Match

A simple Python-based spelling correction project developed for BhashaTHON. It uses basic string similarity to suggest the most likely correct sentence for a given misspelled one.

📂 Project Structure

Spelling_Correction/  
├── main.py                   # Main logic for correction  
├── Problems.txt              # File with misspelled sentences  
├── artificial.train.tgt      # File with correct reference sentences  
├── english_eval.corrected.txt # Output: corrected results  
├── requirements.txt          # Dependencies  
└── README.md                 # Project documentation  

🔧 How It Works

• Takes misspelled sentences from Problems.txt.
• Compares each with the reference list from artificial.train.tgt.
• Finds the closest match using string similarity (Levenshtein-like approach via difflib).
• Saves the corrected sentences to english_eval.corrected.txt.

🚀 Getting Started

📦 Prerequisites

• Python 3.x
• pip

🔧 Installation

git clone https://github.com/Ladanividhi/Misspelling-Correction.git
cd Misspelling-Correction
pip install -r requirements.txt

▶️ Run the Project

python main.py

The output will be saved to english_eval.corrected.txt.

🖥️ Environment

• OS: Windows / Linux / macOS
• Python: 3.x
• Libraries: rapidfuzz or built-in difflib (depending on usage)

🎥 Demo

You can find a demo walkthrough of the project in the included video file: Video.mp4.

👨‍💻 Team: Code Crafters

• Ladani Vidhi
• Dhyey Shah
• Palak Kanjiya
• Parth Chandegara

✅ Key Takeaways

This project showcases a straightforward yet impactful method for correcting misspelled sentences using Python's string similarity tools. It is designed to be lightweight, easy to implement, and a great starting point for those exploring the world of natural language processing.

Thank you for taking the time to explore our project. We appreciate your interest and support.
– Team Code Crafters