In contrast, at the lower left of the figure, where perplexity is small (< 30) and bandwidths has been narrowed at iteration 101-500, correct change occupied only 32% of the whole.
we can conclude that if sufficiently random samples of nearby words are provided, our smoothing model is reliable, though it is trained in an unsupervised fashion.