This paper describes SYNAPSIS, a parser for performing real-time understanding of spoken utterances in a parallel computational environment. Understanding continuous speech allowi...
Parsing spontaneous speech is a difficult task because of the ungrammatical nature of most spoken utterances. To overpass this problem, we propose in this paper to handle the spok...
This paper presents Delphi, the natural language component of the BBN Spoken Language System. Delphi is a domainindependent natural language question answering system that is soli...
Madeleine Bates, Robert J. Bobrow, Robert Ingria, ...
In this paper, we exploit non-local features as an estimate of long-distance dependencies to improve performance on the statistical spoken language understanding (SLU) problem. Th...
We have been developing a spoken language system to recognize and understand spontaneous speech. It is difficult for such systems to achieve good coverage of the lexicon and gramm...