I report briefly on some of my own work in each of these areas and elucidate some of the questions that this research has raised. Then I propose as a research agenda the developme...
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
In this paper, we report on an effort to provide a general-purpose spoken language generation tool for Concept-to-Speech (CTS) applications by extending a widely used text generat...
Today, bibliographical information is kept in a variety of digital libraries available on the Internet. The integration of bibliographical data is considered as one of the most im...
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...