|
|
ISSO Y2005 Annual Report | Contents Natural Language Interface Models for Fast Responsiveness
Applications • 41-44,94 Abstract--A fast responsiveness system incurs minimum latency and produces high throughput and quick response. Interacting with these systems using friendly natural language interfaces requires natural language (NL) capability and an NL processing component. Examples of fast responsive systems include mission-critical systems like aerospace applications and real-time text messaging applications. The NL component constitutes an important part of the interface. We propose NL interface models for fast responsiveness systems with a language disambiguation component. The language disambiguation component is based on using supervised Machine Learning (ML) techniques. For that, we designed and implemented a number of language disambiguation techniques for word prediction to be used with such systems that require fast responsiveness. In the experimental evaluation, proposed techniques demonstrated impressive performance in prediction accuracy. |
|
