Predicting Sentences using NGram Language Models

We explore the benefit that users in sev-eral application areas can experience from a “tab-complete ” editing assistance func-tion. We develop an evaluation metric and adapt N-gram language models to the problem of predicting the subsequent words, given an initial text fragment. Us-ing an instance-based method as base-line, we empirically study the predictabil-ity of call-center emails, personal emails, weather reports, and cooking recipes.