It was shown in Table 4 that the performance of our model gradually increased alongside the size of the training data in the target language until surpassing VecMap in the most informed configuration (i.e., EN+2k).
our model seems to show a higher presence of generic words in the output hypernyms, which may be explained by these being closer in the space.