Context-Sensitive Word Selection For Single-Tap Text Entry

Predictive text input using a single-tap entry method is currently the standard for text entry in the mobile domain. One problem facing this approach is which word to present to the user when more than one word matches an input sequence. The standard single-tap approach selects words using corpus occurrence frequencies, ignoring linguistic context. This can lead to the selection of words that are unrelated to the current input. In this paper we present an implementation of a context-aware predictive text framework that overrides the frequency-based selection model for words related to the current context.