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Generate information about text including syllable counts and Flesch-Kincaid, Gunning-Fog, Coleman-Liau, SMOG and Automated Readability scores.

branch: master

Added Dale-Chall and Spache scoring

Initial tests indicate these are working well, but they need some more
formal unit tests. They assumes that the plural of a known easy word is
still easy, which I am not certain is correct. Other tools also include "-
ly", "-d", "-r", "-ing" etc as easy words - need to confirm if that is
correct (and if it is, to modify the calculator).
latest commit 191cf039aa
Dave Child authored
Octocat-spinner-32 resources Formating of resources. February 28, 2014
Octocat-spinner-32 tests Corrected Kipling tests (sentences end with paragraphs) February 28, 2014
Octocat-spinner-32 README Added Dale-Chall and Spache scoring February 28, 2014
Octocat-spinner-32 TextStatistics.php Added Dale-Chall and Spache scoring February 28, 2014
PHP Text Statistics

    The PHP Text Statistics class will help you to indentify issues with your website content, especially with readability.

    It allows you to measure the readability of text using common scoring systems, including:
    Flesch Kincaid Reading Ease
    Flesch Kincaid Grade Level
    Gunning Fog Score
    Coleman Liau Index
    SMOG Index
    Automated Reability Index
    Dale-Chall Readability Score
    Spache Readability Score

    The code that generates the statistics is in a simple class structure. There are also several unit test classes to ensure that changes made don't break existing functionality. There is also a live version of this tool.

    One of the biggest challenges with measuring text readability is the counting of syllables, which can be tricky to work out. There are rules in the statistics file for working out the syllable count of words, and a large list of words to test these rules against.

    Please feel free to add to the test word list, especially if you can find words whose syllable count is not correctly calculated (even more especially if you can also add code to the class so your word is correctly handled!).

    Homographs are going to be impossible to calculate as they depend on context (i.e., "he moped around the house", "she rode her moped to school), but there are few enough of these not to be a concern. There is a by-no-means-comprehensive list of these in the resources folder.

Homepage and Live Version

JavaScript Port

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