translation systems </term> . This , the first experiment in a series of experiments , looks at the
This , the first experiment in a series of experiments , looks at the <term> intelligibility </term>
other,1-4-H01-1042,bq output </term> . A <term> language learning experiment </term> showed that <term> assessors </term>
criteria could be elicited from duplicating the experiment using <term> machine translation output </term>
made this decision . The results of this experiment , along with a preliminary analysis of
<term> supervised machine learning </term> experiments centering on the construction of <term> statistical
, passage , and/or answer levels </term> . Experiments evaluating the effectiveness of our <term>
other,3-3-N03-1012,bq </term> . We conducted an <term> annotation experiment </term> and showed that <term> human annotators
framework , we carry out a large number of experiments to understand better and explain why <term>
<term> monolingual corpus </term> . We conducted experiments with an <term> EBMT system </term> . The two
kernel function </term> . The results of the experiments demonstrate that the <term> HDAG Kernel </term>
<term> discourse understanding process </term> . Experiment results have shown that a <term> system </term>
evaluated their performance by means of two experiments : coarse-level <term> clustering </term> and
other,2-5-C04-1096,bq </term> . We conducted <term> psychological experiments </term> with 42 subjects to collect <term>
transliteration/back transliteration </term> experiments for <term> English/Chinese and English/Japanese
enough numerous to be of any use . We report experiments conducted on a <term> multilingual corpus
classifiers </term> to form a highly accurate one . Experiments show that this approach is superior to
field , which we address with this work . Experiments with the <term> TREC 2003 and TREC 2004 QA
WSD models </term> . We present controlled experiments showing the <term> WSD </term><term> accuracy
the other <term> models </term> used in the experiments . We propose a <term> method </term> that automatically
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