Application of Hidden Markov Model on T9 Keypad

The Hidden Markov Model (HMM) is a statistical model that assumes the system being modeled is a Markov process with unobservable (hidden) states. In this context, HMM is used to analyze sequential or time-series data where the goal is to learn about the hidden parts of the model from observable data. The model consists of hidden states that are not directly visible, and visible states that are…