</term> ( a <term> verb final language </term> with <term> overt case markers </term> , relatively
. The results of this experiment , along with a preliminary analysis of the factors involved
spoken language understanding system </term> with <term> intelligent mobile agents </term> that
</term> , tactical personnel can converse with their logistics system to place a supply
this capability in several field exercises with the Marines and are currently developing
</term> and selects the <term> word string </term> with the best <term> performance </term> ( typically
acts like a <term> dynamic combiner </term> with <term> hard decisions </term> using the <term>
method amounts to tagging <term> LMs </term> with <term> confidence measures </term> and picking
</term> corresponding to the <term> LM </term> with the best <term> confidence </term> . We describe
fielded <term> user studies </term> conducted with the U.S. military . This paper proposes
word-segmented data </term> , in combination with a range of <term> local segment contiguity
formal analysis </term> that is compatible with the <term> search engine </term> 's <term> operational
</term> of <term> utterances </term> produced with <term> trainable components </term> can compete
<term> trainable components </term> can compete with <term> hand-crafted template-based or rule-based
domain independent acoustic models </term> with off-the-shelf <term> classifiers </term> to
<term> output </term> of <term> recognition </term> with this <term> model </term> is then passed to
for use in <term> error correction </term> , with a focus on <term> post-processing </term> the
<term> system </term> is state-of-the-art , with guaranteed <term> grammaticality </term> of
<term> training data </term> can be supplemented with <term> text </term> from the <term> web </term>
corpus </term> . We conducted experiments with an <term> EBMT system </term> . The two <term>
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