It scales almost as well to large datasets as standard N-Gram models: training requires only two passes over the data as opposed to a single pass required by N-Gram models.
the experiments provide empirical evidence that the VMM is based on a reasonable set of modeling assumptions, which translate into an accurate and scalable model.