| other,18-1-P06-4014,bq | pipeline </term> that capitalizes on <term> | output | quality </term> . The demonstrator embodies | #11807 The LOGON MT demonstrator assembles independently valuable general-purpose NLP components into a machine translation pipeline that capitalizes onoutput quality. |
| tech,26-2-N03-1026,bq | maximum-entropy model </term> for <term> stochastic | output | selection </term> . Furthermore , we propose | #2835 Our system incorporates a linguistic parser/generator for LFG, a transfer component for parse reduction operating on packed parse forests, and a maximum-entropy model for stochastic output selection. |
| sentence-plan-ranker ( SPR ) </term> ranks the list of | output | <term> sentence plans </term> , and then selects | #1411 Second, the sentence-plan-ranker (SPR) ranks the list of output sentence plans, and then selects the top-ranked plan. | |
| other,18-6-H01-1041,bq | system </term> produces the <term> translation | output | </term> sufficient for content understanding | #534 Having been trained on Korean newspaper articles on missiles and chemical biological warfare, the system produces the translation output sufficient for content understanding of the original document. |
| </term> are in <term> Arabic </term> , and the | output | <term> summary </term> is in <term> English </term> | #7170 We consider the case of multi-document summarization, where the input documents are in Arabic, and the output summary is in English. | |
| determine whether they believed the sample | output | to be an <term> expert human translation </term> | #727 The subjects were given three minutes per extract to determine whether they believed the sample output to be an expert human translation or a machine translation. | |
| directly compare commercial <term> systems </term> | outputting | <term> unsegmented texts </term> with , for | #7769 The use of BLEU at the character level eliminates the word segmentation problem: it makes it possible to directly compare commercial systemsoutputting unsegmented texts with, for instance, statistical MT systems which usually segment their outputs. | |
| other,12-4-P05-2016,bq | </term> and plan to compare our <term> system 's | output | </term> with a <term> benchmark system </term> | #9825 We also refer to an evaluation method and plan to compare our system's output with a benchmark system. |
