N-Gram word predictor : SwiftKey

Pushkar Singh Bhauryal
24-04-2016

Overview

If you haven't tried out the app, go here to try it!

  • Predicts next word
  • Shows you top 5 other possibilities
  • Can be used to string together continuous

How To Use the App

Instructions

Underlying Algorithm

  • N-gram model with “Stupid Backoff”
  • Checks if highest-order (in this case, n=4) n-gram has been seen. If not “degrades” to a lower-order model (n=3, 2); we would use even higher orders, but ShinyApps caps app size at 100mb

Further Exploration

  • The code (for processing into a database and prediction) is available on GitHub
  • Further work can expand the main weakness of this approach: long-range context
    1. Current algorithm discards contextual information past 4-grams
    2. We can incorporate this into future work through clustering underlying training corpus/data and predicting what cluster the entire sentence would fall into
    3. This allows us to predict using ONLY the data subset that fits the long-range context of the sentence, while still preserving the performance characteristics of an n-gram and Stupid Backoff model

Thanks

Pushkar Singh Bhauryal