This is to say, in order to level off the effects of unbalanced sense coverage we assume that, all things being equal, the more senses a translation covers, the stronger the disambiguation evidence it provides in context for specific senses.
the contributions of each translation are weighted differently and we are thus able to dampen the effects of a highly skewed distribution like, for instance, that  We evaluate our approach in two different settings, namely a monolingual all-words WSD task in Section 4.1, as well as two different cross-lingual disambiguation gold standards in Section 4.2.