</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
tech,9-1-H01-1049,bq new paradigm for <term> human interaction with data sources </term> . We integrate a <term>
</term> and selects the <term> word string </term> with the best <term> performance </term> ( typically
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
domain independent acoustic models </term> with off-the-shelf <term> classifiers </term> 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>
a <term> node </term> in a <term> graph </term> with <term> in-degree </term> greater than one and
<term> planning-based architecture </term> with a variety of <term> language processing modules
dialogue </term> . Our <term> system </term> deals with <term> pronouns </term> with <term> NP - and
</term> results in 87.5 % <term> agreement </term> with a state of the art , proprietary <term> Arabic
re-estimate the <term> model parameters </term> with the expanded <term> vocabulary </term> and <term>
conducted <term> psychological experiments </term> with 42 subjects to collect <term> referring expressions
classification ( maximum entropy ) </term> with <term> linguistic information </term> . Instead
hide detail