Among the four combinations of our system components, HM+FM+TS, a system with hierarchical WTC models, a filtering model, and synonym expansion, achieved the highest Top-1 Hit Rate, 77%, suggesting the WTC models benefited from sense pre-pruning and synonym expanding.
the high MRR (0.84) pointed out that users (e.g., lexicographers) could often find the suitable word sense for the translation by looking at the first two senses in the ranked sense list generated by our model.