The same test confirmed that there are significant differences in the performance of the best model Wmask when using representations of different sizes (p < 0.01   comparisons showed that Wmask model significantly improves its performance (p < 0.01) when using word representations of increasing size (50, 100, 200 and 300 dimensions).
the words in a language can be combined into infinitely many distinct, wellformed phrases and sentences.