What's Changed Add utility to plot empirical voc-D curve (https://github.com/LSYS/LexicalRichness/issues/60) matplotlib is now a requirement (from setup.py) Update docs To install: pip install lexicalrichness Example usage from lexicalrichness import LexicalRichness # text example text = """Measure of textual lexical diversity, computed as the mean length of sequential words in a text that maintains a minimum threshold TTR score. Iterates over words until TTR scores falls below a threshold, then increase factor counter by 1 and start over. McCarthy and Jarvis (2010, pg. 385) recommends a factor threshold in the range of [0.660, 0.750]. (McCarthy 2005, McCarthy and Jarvis 2010)""" lex = LexicalRichness(text) lex.vocd_fig( ntokens=50, # Maximum number for the token/word size in the random samplings within_sample=100, # Number of samples seed=42, # Seed for reproducibility ) GitHub: https://github.com/LSYS/LexicalRichness Example notebook: https://nbviewer.org/github/LSYS/LexicalRichness/blob/master/docs/example.ipynb Docs: https://www.lucasshen.com/software/lexicalrichness/doc Full Changelog: https://github.com/LSYS/LexicalRichness/compare/v0.3.0...v0.4.0

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