D09-1070 sophisticated data structures or statistical tests for the current ones . In particular
C04-1047 numerical values themselves for statistical tests . In the case of the existing
A00-2020 entire corpus . Then we apply a statistical test which identifies which elements
C04-1136 Conclusion In the past , various statistical tests have been used to assess the
C04-1047 the discipline of non-parametric statistical test , ranks of numerical values are
D08-1020 readability cor - relates . Through statistical tests of associations we identified
D09-1078 Selection The idea of using a statistical test to decide whether to use a higher
C69-4401 identical sentence . In this case , a statistical test will reveal this homogeneity
D09-1019 sentence has opinion or not . Again , statistical test shows that the canonical tense
D11-1093 correlation coefficients , on which statistical tests can be run in order to show the
A00-2020 distribution over the data and applies a statistical test to detect anomalous elements
D09-1078 entropy pruning is based on a statistical test , it is not a significance test
C69-4401 of the counting . The Nature of Statistical Tests The techniques of statistical
C65-1015 then be recognized and tallied . Statistical tests should be applied to see whether
D12-1138 ours on TREC dataset . We perform statistical test and measures where our system
C04-1047 the discipline of non-parametric statistical test . As shown in Section 1 , the
C82-1027 the progressive . The chisquare statistical test returns a highly significant
C04-1047 selves , as in the non-parametric statistical test . Hereafter , ^ eI1 and wIn1
D14-1020 cases , however . We introduce a statistical test which can be used for this purpose
D10-1065 the three baseline systems . The statistical test indicates that both the three
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