RESEARCH OF NEXT WORD PREDICTION MODEL
Keywords:
Natural language processing, N-gram model, recurrent neural network, next word prediction, and long short-term memory (LSTM).Abstract
Word prediction apps that make typing simpler are made using a variety of methods. By suggesting phrases the user may want to type in a text field, these technologies also make typing on a mobile device easier. Additionally, it makes writing more fluent, which enables kids to produce greater writing abilities. Additionally, it facilitates free text typing on the machine. It also aids in the formation of well-structured language's sequence. It is used in the creation of highly regarded programs like Grammarly and others. In addition to being employed when the user inputs the needed word's letter, the system also shows a list of the most likely words to fit the position. Additionally, it can anticipate words in several languages, like Hindi, Spanish, etc. Predicting a sentence's next word is the primary goal. In order to anticipate the following word more accurately, this research uses recurrent neural networks, convolution neural networks, N-gram modeling, and a few other deep learning approaches. Results, analysis, and approaches are also included in this paper. We can simply guess the following word by going over all of them.
