Auto-Correction Program

This program suggests possible spelling corrections for input words based on a given text corpus.

Project Structure

The project contains the following files and folders:

• data/ This folder contains the unprocessed data used to train the model.
  • shakespeare.txt: This file contains the unprocessed data to generate the spelling suggestions.
• src/: This folder contains the source code for the project.
  • data_preprocessing.py: This module contains functions for processing and cleaning the input data.
  • string_manipulation.py: This module contains functions for manipulating strings.
  • edite_letters.py: This module contains functions for generating all possible words that are one or two edits away from a given word.
  • spelling_suggestions.py: This module contains functions for generating spelling suggestions.
  • app.py: This module contains the code for the user interface.
• README.md: This file provides information about the project.

Prerequisites

This program requires Python 3 and the following libraries:

• tkinter
• re
• collections

These can be installed using pip:

pip install tkinter collections re

Running the Program

To run the program, navigate to the main directory and run the following command:

python app.py

You can specify the number of suggested corrections to display by entering a number in the "Number of suggestions" field. By default, the program will display 5 suggestions.

Enter a word in the "Enter a word" field and click the "Correct" button to see a list of suggested corrections.

Acknowledgments

This program was inspired by the work of Younes Bensouda and his cours on NLP Specialization (the first assignment of Course 2): https://www.coursera.org/specializations/natural-language-processing.