pharmaceutical news archive </term> as part of their <term> industry watch </term> function . We
factors on which the <term> assessors </term> made their decisions . We tested this to see if similar
minutes per extract to determine whether they believed the sample output to be an <term>
machine translation </term> . Additionally , they were asked to mark the <term> word </term>
asked to mark the <term> word </term> at which they made this decision . The results of this
</term> , tactical personnel can converse with their logistics system to place a supply or information
instruct the <term> system </term> to notify them when the status of a <term> request </term>
understand more of what the <term> user </term> tells them , they need to be more sophisticated at
of what the <term> user </term> tells them , they need to be more sophisticated at responding
</term> and the decision of how to combine them into one or more <term> sentences </term> .
<term> word N-gram models </term> . Further , in their optimum <term> configuration </term> , <term>
equivalent <term> RCGs </term> without increasing their <term> worst-case parsing time complexity
poorly on <term> queries </term> containing them . I show that the <term> performance </term>
recognition hypotheses ( SRH ) </term> in terms of their <term> semantic coherence </term> . We conducted
</term> . It gives users the ability to spend their time finding more data relevant to their
their time finding more data relevant to their task , and gives them translingual reach
data relevant to their task , and gives them translingual reach into other <term> languages
several levels of both <term> chunks </term> and their <term> relations </term> , and then efficiently
manually sense-tagged data </term> have in their <term> sense coverage </term> . Our analysis
from a corpus-based sample and formulate them as <term> probabilistic Horn clauses </term>
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