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6 May 2008: NIST 2008 Arabic-English MT evaluation development 8. Lowercase BLEU scores over three test sets from 2002 through 2006:. ... 8 nist.gov/speech/tests/mt/2006 nist.gov/speech/tests/mt/2008Department of EngineeringUniversity of Cambridge. NIST Open Machine

17 Jan 2008: At each test point, awindow is defined with the point at its centre. ... For this particular data set, the 5% test eliminates all but three of the original twentyseeds.

3 Dec 2008: The ML-SAT test procedure is first run toobtain initial ML speaker transforms. ... There is no need to estimate speaker-specific discriminative transforms on the test data.

6 Mar 2008: As for the roughness penalty, we test the penalty set out in Equation 1. ... Several different methods areapplied in tests in Sections 4.3 and 4.4.

26 Mar 2008: The 2006 are theevaluation results on the entire “NIST” portion of the 2006 test set. ... On these test sets with. 5The 2006 evaluation results are based on mixed case output, the devel-opment results are lower-case.

26 Mar 2008: Two test sets defined by BBN were used for evaluating the sys-tems. ... It was ensured that therewas no overlap between this training and test data.

13 Nov 2008: After each test, theestimated axial displacement field was compared with the known ground truth and the averageabsolute point-wise difference d was recorded.

26 Mar 2008: This paper investigates using the MBR criterion for unsuper-vised discriminative language model adaptation in test-time for speechrecognition and translation systems. ... Unsupervised test-time discriminative adaptation of mixture languagemodels was