Smartphone Autocorrect Explains Its Prediction and Learning

This guide explains how smartphone autocorrect predicts and corrects words by analyzing typing patterns, using n-gram models, probability scoring, context analysis, and machine learning. It describes why errors occur, how personalized feedback and vocabulary expansion improve accuracy over time, and compares approaches used by Apple, Google, Samsung, and third-party keyboards. It ends with practical tips to tune dictionaries, sensitivity, and shortcuts.