Aim: To detect incorrect words and use one or more models to find suitable corrections for incorrect words

Tasks:
[1] Coordinates the creation of the word dictionary
[2] Creates training and test sets
[3] Executes training and builds up all the models
[4] Compares performance of all models on the test set

Contains all the functions for training according to the Kernighan, Church, Gale probabilistic Noisy Channel

Contains all the functions for training according to Unsupervised rules in Soo and Frieder

Contains all the functions for training according to the Ngram model

(Combination of Unsupervised Rules and N gram characters)

python3 main.py