With zipf's law being originally and most famously observed for word
frequency, it is surprisingly limited in its applicability to human language,
holding over no more than three to four orders of magnitude befor
Zipf's law on word frequencies and meaning distribution can be explained by a biased random walk in mental exploration, based on a single assumption on the joint probability of a word and a meaning.