For this, we iterated over corpus C t such that for each token w and for each of its context words c within a symmetric window we extracted the word-context pair: (w t ,c) if w is a target word and (w,c) otherwise.
if a model captures stochastic fluctuations in the words' vectors instead of true semantic change, then such a shift in the distribution will be less prominent.