This program suggests possible spelling corrections for input words based on a given text corpus.
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.
This program requires Python 3 and the following libraries:
- tkinter
- re
- collections
These can be installed using pip:
pip install tkinter collections re
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.
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.