v0.4.0

What's Changed

• Add utility to plot empirical voc-D curve (#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: v0.3.0...v0.4.0