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If the percentage of difficult words is above 5%, then add 3.6365 to the raw score to get the adjusted score, otherwise the adjusted score is equal to the raw score. Difficult words are all words that are not on the word list, but it has to be considered that the word list contains the basic forms of e.g. verbs and nouns.
The highest (easiest) readability score possible is 121.22, but only if every sentence consists of only one-syllable words. "The cat sat on the mat." scores 116. The score does not have a theoretical lower bound; therefore, it is possible to make the score as low as wanted by arbitrarily including words with many syllables.
Extract a 100-word passage from the selection. [2] If the material is long, take a subsample from the beginning, middle, and end. Count the number of sentences in each passage. Count a half sentence as 0.5. Count the number of words in each passage containing six or more letters. Find the point on the Raygor estimate graph.
The automated readability index (ARI) is a readability test for English texts, designed to gauge the understandability of a text. Like the Flesch–Kincaid grade level, Gunning fog index, SMOG index, Fry readability formula, and Coleman–Liau index, it produces an approximate representation of the US grade level needed to comprehend the text.
The number of words per sentence and the percentage of unfamiliar words determine the reading age. The original formula was: Grade Level = ( 0.141 × Average sentence length ) + ( 0.086 × Percentage of unique unfamiliar words ) + 0.839 {\displaystyle {\mbox{Grade Level}}=\left(0.141\times {\mbox{Average sentence length}}\right)+\left(0.086 ...
There are dozens of two-letter words that can be used interchangeably with words already on the board. By creating new words and linking them with existing words you can end up with a very high score.
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The Coleman–Liau index is a readability test designed by Meri Coleman and T. L. Liau to gauge the understandability of a text. Like the Flesch–Kincaid Grade Level, Gunning fog index, SMOG index, and Automated Readability Index, its output approximates the U.S. grade level thought necessary to comprehend the text.