Multilingual Keyboard Spell Checker

Overview

This project implements a multilingual keyboard-based spell checker that detects typing mistakes and suggests possible corrections using keyboard proximity information.

The system supports English, Persian, and mixed Persian-English input correction and provides ranked suggestions based on similarity distance and word frequency.

Features

• English keyboard spell correction
• Persian keyboard spell correction
• Persian-English mixed spell correction
• Keyboard proximity based candidate generation
• Ranked correction suggestions
• Interactive user interface using ipywidgets
• Display of candidate words with distance and frequency scores

Project Structure

.
├── notebooks/
│   ├── English_Spell_Checker.ipynb
│   ├── FA_EN_Spell_Checker.ipynb
│   └── Persian_Spell_Checker.ipynb
│
├── assets/
│   ├── output_UI_EN.png
│   ├── output_UI_FA.png
│   └── output_UI_mix.png
│
└── README.md

Notebooks

• English_Spell_Checker.ipynb - English keyboard spell correction implementation.
• Persian_Spell_Checker.ipynb - Persian keyboard spell correction implementation.
• FA_EN_Spell_Checker.ipynb - Combined Persian-English spell correction system.

Demo

The interactive interface provides:

• Cleaned input
• Best correction suggestion
• Alternative candidates
• Distance and frequency scores

Technologies

• Python
• Jupyter Notebook
• ipywidgets
• Natural Language Processing concepts
• Keyboard proximity algorithms

Applications

• Smart keyboard systems
• Typing error correction
• Multilingual text input assistance
• NLP educational projects

Author

Computer Engineering - Artificial Intelligence

Project: Multilingual Keyboard Spell Checker