Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit
Table 3: System performance on the coarse level POS for the competing systems Clique-EBM (C-EBM) and Tree-EBM (T-EBM)
['Type', 'WPT Recall T-EBM', 'WPT Recall C-EBM', 'WP3T Recall T-EBM', 'WP3T Recall C-EBM']
Both the systems follow similar trends and the morphological class misprediction is highest among the nouns and compounds (WP3T Recall). It also needs to be noted that the improvement made by Clique-EBM in comparison to Tree-EBM for WP3T was also on prediction of noun and compound morphological classes. Also in Tree-EBM, the mispredictions in compounds were mostly cases of the system getting the compound components confused to one of the morphological classes in nouns.