Statistical-Language-Modelling-Using-N-grams

Using Natural Language Processing, the model predicts the most probable next word and outputs the correctness of an input English sentence. To achieve the optimum accuracy, a largereliable dataset or corpus is extracted from Wikipedia, preprocessed, and then analyzed before using it to train the model. Analyzing the dataset and its visualization can be an insightful technique to understand the corpus before using it for the model's training. Choosing an appropriate model for any problem is a crucial step. In our case, using a trigram model to train the data proved to be the best trade-of . This trained model is finally used in thecodeto predict the next word and find the perplexity of a given sentence based on the trigram model.