When we compared two sets of results in Table 4, the joint count version of VSM and linear mixture of TMs, we found that for Arabic to English, VSM performance is better than linear mixture at the p < 0.01 level; the Chinese to English significance test was inconclusive (VSM found to be superior to linear mixture at p < 0.05 for NIST06 but not for NIST08).
a feature derived from this topicrelated vector space might complement some features derived from the subcorpora which we explored in the experiments above, and which seem to exploit information related to genre and style.