Ameel et al. (2009) found that centers of roughly corresponding categories in Dutch and French for bilinguals were located closer to each other than the centers of corresponding categories for monolinguals. Furthermore, the bilingual categories were situated somewhere in between the monolingual categories for French and Dutch monolinguals, because the overlap in corresponding categories for bilinguals drives the two centers toward each other along the lines that connect the monolingual category centers. Furthermore, they found that bilingual categories were situated significantly closer to each other, regardless of whether the centroids were calculated in a boundary-dependent or a boundary-independent way. In order to calculate the boundary-dependent location of a category center, Ameel et al. (2009) calculated a weighted average of the coordinates of the object set, with the weights being the name frequency for that category. In this boundary-dependent way of calculation, all items contribute to the location of the category center, the boundary exemplars included. A boundary-independent location of the category center was calculated by using the weighted median, with the weights again being the name frequency for that category. The median value is not influenced by outliers and hence produces a boundary-independent central tendency measure. The fact that convergence was shown in both category boundaries and centers is an indication that the source of the overall convergence lies in both places. Category centers are mostly determined by high-frequency items, unlike category boundaries that are mainly formed by low-frequency items. Category boundaries could also be more strongly determined by language specific idiosyncrasies (Malt et al., 1999). The data suggested that bilinguals cannot keep the exemplars of each language separate since there is manifestation of convergence even at the level of category centers. Supplementary Figure 1 illustrates the category centers of bilinguals and monolinguals for both languages for the replication data.