#kneser-ney

The word "Kong" is frequent in a corpus, but almost only after "Hong". When a bigram has not been seen, Kneser–Ney smoothing falls back on a continuation probability $P_{\text{cont}}(w)$ instead of the plain unigram frequency. What does $P_{\text{cont}}(w)$ measure, and why does it help?