As shown in Table 5, both CL-MSVM and TL-MSVM achieve lower accuracies than other methods, while their inter-category errors are less than that of other experimental methods.
the improvement of CL-MSVM and TL-MSVM implies that, for the subsequent natural language processing, a POS tagger should considers different cost of tagging errors.