Next Word Prediction While Typing using LSTM

Predicting the next word in a sentence is the basic goal of word prediction. Its benefits, such as auto-correction, which is frequently utilized in emails and text messages, are already well-known to many of us. It is also employed in Google Search and MS Word, where the following word is predicted based on past searches or a worldwide search is performed. One application of natural language processing (NLP), commonly referred to as language modeling, is next-word prediction. This model was created with the intention of swiftly predicting the third word that would come after the input sentence. Long short-term memory (LSTM) equipped recurrent neural networks (RNNs) are able to recognize previous context and anticipate terms that may be useful in generating sentences. This method makes use of letter-by-letter prediction, which assumes that a word will be formed by the letters in the correct order.