participants are using . In this presentation , we describe the features of and <term> requirements
infrastructure </term> for this purpose . In this paper we show how two standard outputs from <term>
via a standard <term> text browser </term> . We describe how this information is used in
their <term> industry watch </term> function . We also report results of a preliminary , <term>
browsers </term> . At MIT Lincoln Laboratory , we have been developing a <term> Korean-to-English
machine translation ( MT ) systems </term> . We believe that these <term> evaluation techniques
<term> assessors </term> made their decisions . We tested this to see if similar criteria
human interaction with data sources </term> . We integrate a <term> spoken language understanding
</term> and <term> information sources </term> . We have built and will demonstrate an application
when a <term> request </term> is complete . We have demonstrated this capability in several
the context of <term> dialog systems </term> . We show how research in <term> generation </term>
learning techniques </term> . In this paper , we address the problem of combining several
several <term> language models ( LMs ) </term> . We find that simple <term> interpolation methods
decisions </term> using the <term> reference </term> . We provide experimental results that clearly
improve the <term> performance </term> further . We suggest a method that mimics the behavior
</term> with the best <term> confidence </term> . We describe a three-tiered approach for <term>
</term> and <term> component performance </term> . We describe our use of this approach in numerous
component performance </term> . We describe our use of this approach in numerous fielded
the <term> error-correction rules </term> . Our <term> algorithm </term> reported more than
more <term> sentences </term> . In this paper , we present <term> SPoT </term> , a <term> sentence
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