Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very...
Starting from first principles, we re-visit the statistical approach and study two forms of the Bayes decision rule: the common rule for minimizing the number of string errors and...
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
We will demonstrate the latest version of an ongoing project to create an intelligent procedure assistant for use by astronauts on the International Space Station (ISS). The syste...
Manny Rayner, Beth Ann Hockey, James Hieronymus, J...
Abstract. This paper describes the work done in developing a real automatic meteorological information system by means of building a VoiceXML framework, or browser, over an open so...