Quantitatively, the majority of GloVe and fastText vectors fail the Shapiro-Wilk normality test at sig-nificance level 0.05.
while Pearson's r (and thus cosine similarity) may be acceptable for word2vec, it is preferable to resort to more robust non-parametic correlation coefficients such as Spearman's ρ or Kendall's τ as a similarity measure between GloVe and fastText vectors.