1. A text prediction system, comprising: one or more processors; memory storing instructions that, when executed by the one or more processors, configure the one or more processors to: generate a first sequence prediction based on a first evidence source including a first sequence of characters and a context of the first sequence of characters, and a first model that implements a context model including a first candidate model implementing a conditional distribution of the context for a first particular candidate and a prefix match model implementing a conditional distribution of candidates for a target sequence, wherein the first sequence prediction comprises a first sequence and a first associated probability estimate; generate a second sequence prediction based on a second evidence source including a second sequence of characters and a second model that implements an input model including a second candidate model implementing a conditional distribution of inputs for a second particular candidate and a language model implementing a conditional distribution of sequences in a language for a particular context, wherein the second sequence prediction comprises a second sequence and a second associated probability estimate; and a display coupled to at least one of the one or more processors or the memory, wherein the display is configured to: output the first sequence prediction and the second sequence prediction within a text entry graphical user interface.