A reading text analysis tool
Text (readability) analysis tool written in Python (2.7 and 3).
Drat is a tool that analyzes reading texts and produces a brief report which gives a readability score (according to the Dale-Chall readability formula) and the number of uncommon words (based on the General Service List) in the text. It also lists all of these uncommon words (if you choose the verbose option).
There is now also support for the Coleman-Liau Readability Index.
Drat supports docx, odt, ods, odp files as well as text files and urls.
You can also analyze multiple texts / links by creating a text file with the filenames / links written in it.
A simple example of how drat can be used in a web application is provided in the webapp directory.
Please read the wiki for information about how to use drat.
Python (2.7 or 3), click and requests.
Drat is a recursive acronym which either stands for Drat is a Readability Analysis Tool or Drat is a Rabid Assessor of Texts.
Drat is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
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