Online Adaptation For Language Models In Spoken Dialogue Systems

The robust estimation of language models for new applications of spoken dialogue systems often suffers from a shortcoming of training material. An alternative to training a language model is to improve an initial language model using material obtained while running the new system, thus adapting it to the new task. In this pape