Our results show that term distributional similarity is more predictive of good FSD performance than the scale of common terms; and, thus we demonstrate that a smaller recent domain-related corpus will be more suitable than a very largescale general corpus for FSD.
the ideal background corpus for FSD should be both large-scale and similar in frequency distribution to the assumed target corpus.