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Carmine DiMascio
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README.md

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![Travis Build](https://travis-ci.org/cdimascio/py-readability-metrics.svg?branch=master) ![Python](https://img.shields.io/badge/python-%203.4%20%7C%203.5%20%7C%203.6-blue.svg) [![MIT license](https://img.shields.io/badge/License-MIT-green.svg)](https://lbesson.mit-license.org/)
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Score the _readability_ of text using popular readability metrics including: Flesch-Kincaid Grade Level, Flesch Reading Ease, Gunning Fog Index, Dale Chall Readability, Automated Readability Index (ARI), Linear Write, SMOG, and Gunning Fog
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Score the _readability_ of text using popular readability metrics including: [Flesch Kincaid Grade Level](#flesch-kincaid-grade-level), [Flesch Reading Ease](#flesch-reading-ease), [Gunning Fog Index](#gunning-fog), [Dale Chall Readability](#dale-chall-readability), [Automated Readability Index (ARI)](#automated-readability-index-ari), [Coleman Liau Index](#coleman-liau-index), [Linear Write](#linear-write), and [SMOG](#smog)
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<p align="center">
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<img src="https://raw.githubusercontent.com/cdimascio/py-readability-metrics/master/assets/py-readability-metrics.png" width="500"></>
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r.dale_chall()
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r.ari()
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r.linear_write()
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r.smog()
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```
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**\*Note:** `text` must contain >= 100 words\*
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## Readability Metric Details
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## Supported Metrics
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- [Flesch Kincaid Grade Level](#flesch-kincaid-grade-level)
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- [Flesch Reading Ease](#flesch-reading-ease)
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- [Dale Chall Readability](#dale-chall-readability)
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- [Automated Readability Index (ARI)](#automated-readability-index-ari)
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- [Coleman Liau Index](#coleman-liau-index)
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- [Gunning Fog](#gunning-fog)
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- [SMOG](#smog)
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- [Linear Write](#linear-write)
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## Readability Metric Details and Properties
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All metrics provide a `score` attribute. See details below to capture additional detail per metric.
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print(dc.grade_levels)
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```
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### Automated Readability Index
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### Automated Readability Index (ARI)
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Unlike the other indices, the ARI, along with the Coleman-Liau, relies on a factor of characters per word, instead of the usual syllables per word. ARI is widely used on all types of texts.
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Contributions are welcome!
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## References
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- [Readability Formulas](http://readabilityformulas.com/)
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## License
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[MIT](LICENSE)

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