Calculates the Flesch readability index in Etherpad, client based.
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npm install ep_readability
|75||downloads in the last month|
|Last Published By|
|Version||0.0.20 last updated 4 months ago|
|Keywords||flesch, readability, etherpad, amstad|
Click button to calculate the Flesch readability index
There'll be a button which calculates and displays the Flesch redability index.
Calculation of the Flesch index is triggered by entering !, ?, RETURN or BACKSPACE. Or by pushing the button.
The button shows a tooltip, which provides additional information.
Short sentences and words with only a few syllables ensure the readability of a text.
The original Flesch index is calculated for all languages. German umlauts are replaced (ä = a, ß = ss...).
Numbers are counted as a single syllable (1000,56 = one syllable).
Links are split into subparts (http://aaa-bbb.bla?foo=bar = http aaa bbb bla foo bar).
- -1000: Dissertation, red
- 10: Officialese, red
- 20: AmbitiousNewspaper, orange
- 35: AverageNewspaper, yellow
- 50: YellowPress, green
- 60: SalesLetter, green
- 80: Slogan, green
- 90: Comic, green
On the command line, run
npm install ep_readability.
Alternatively, browse to
http://yourEtherpadliteInstan.ce/admin/plugins, search for
readability and click install.
After restarting the server, the plugin takes effect.
Options to fine tune the counting process
The plugin interprets a line break (paragraph) as the end of a sentence. If text is copied into the pad, the line breaks may be incorrect and manual adjustment may be necessary.
Problematic text, counted as two sentences:
1. All participants 2. are expected to be awake.
Corrected text, counted as one sentence:
1. All participants are expected to be awake. 2.
Rethink the current solution for counting numbers as one syllable.
Rethink time definitions e.g., 20:30.
The internal work is based on a regex orgy. Which could be rewritten, maybe using DOM for additional capabilities like highlighting long words and sentences.
Some code of the TextStatistics package is being used.
TextStatistics.js, Christopher Giffard (2012)