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Analyzing Rank-Frequency and Type-Token Relationships in Literary Texts

This repository explores the frequency distribution and type-token relationships within an author-based corpus comprised of popular novels by renowned writers. We investigate whether these corpora exhibit Zipfian behavior in frequency distribution, analyze rank-frequency relationships through line fitting, and assess lexical richness using Heaps' law.

For details, refer to the related blog post.

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