Adaptive language modeling for word prediction
Keith Trnka · 2008
We present the development and tuning of a topic-adapted language model for word prediction, which improves keystroke savings over a comparable baseline.We outline our plans to develop and integrate style adaptations, building on our experience in topic modeling to dynamically tune the model to both topically and stylistically relevant texts.