tech,4-4-H89-1027,ak data </term> . This paper describes the <term> system </term> , and documents its current performance
tech,2-3-H89-1027,ak mathematical tools </term> . In our <term> system </term> , <term> features </term> and <term> decision
tech,18-2-H89-1027,ak whose development requires intense <term> knowledge engineering </term> , our approach attempts to express
tool,15-1-H89-1027,ak understanding system </term> called <term> SUMMIT </term> . In contrast to many of the past
other,34-2-H89-1027,ak </term> within a formal framework using <term> well-defined mathematical tools </term> . In our <term> system </term> , <term>
lr,19-3-H89-1027,ak automatically , using a large body of <term> speech data </term> . This paper describes the <term> system
model,4-3-H89-1027,ak </term> . In our <term> system </term> , <term> features </term> and <term> decision strategies </term>
model,6-3-H89-1027,ak system </term> , <term> features </term> and <term> decision strategies </term> are discovered and trained automatically
tech,9-1-H89-1027,ak we initiated a project to develop a <term> phonetically-based spoken language understanding system </term> called <term> SUMMIT </term> . In contrast
model,12-2-H89-1027,ak the past efforts that make use of <term> heuristic rules </term> whose development requires intense
other,27-2-H89-1027,ak our approach attempts to express the <term> speech knowledge </term> within a formal framework using <term>
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