Abstract
As shown at the end of the previous chapter, the rank-frequency relation of Moby Dick almost follows a power law -> with an η value close to 1. The goal of this chapter is to see how well Zipf’s law holds among various kinds of texts and data. A text is typically written by a single author, but other corpora consist of collections (e.g., newspapers, collections of literary texts). Analyses like the one conducted here have also been reported beyond written texts, for speech (including infant utterances) and even program source code and music.
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