other,18-1-P06-4014,bq pipeline </term> that capitalizes on <term> output quality </term> . The demonstrator embodies
tech,26-2-N03-1026,bq maximum-entropy model </term> for <term> stochastic output selection </term> . Furthermore , we propose
sentence-plan-ranker ( SPR ) </term> ranks the list of output <term> sentence plans </term> , and then selects
other,18-6-H01-1041,bq system </term> produces the <term> translation output </term> sufficient for content understanding
</term> are in <term> Arabic </term> , and the output <term> summary </term> is in <term> English </term>
determine whether they believed the sample output to be an <term> expert human translation </term>
directly compare commercial <term> systems </term> outputting <term> unsegmented texts </term> with , for
other,12-4-P05-2016,bq </term> and plan to compare our <term> system 's output </term> with a <term> benchmark system </term>
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