An additional problem is the opposite case: If all Normal words and one extraordinarily long word would therefore receive a better score than a sentenceĬontaining only words of roughly the same length. The average word is, the less the amount of difficult words will become. First, the bigger the difference in length between the longest word and The average word length would mark all words as difficult/complex that are longer than this average. Two measurements are important here: The average word length Therefore, Zettlr defines complex and difficult words asīeing longer than two times the standard deviation from the average word length. Readability than word length in syllables.' 'There is no need to estimate syllables since word length in letters is a better predictor of Their seminal paper A Computer Readability Formula Designed for Machine Scoring: Zettlr depends upon a finding by Coleman and Liau from 'complex words' as well as 'difficult words'.

To account for these problems, this implementation of the aforementioned algorithms re-defines both To offer: A fast preview of the readability of your text that can give you a first measure of how Both are ill-designed when it comes to what Zettlr wants Language and would require both algorithms to calculate the syllables for each word as well as forĭetecting the language used in the text. Complex words, on the other hand, areĭefined to consist of more than three or four syllables. Opposite, very much biased towards the English language. The main problem with difficult words therefore is that they are not language-agnostic, but, on the Mostly, difficult words are defined within a dictionary shipped with the algorithm. All of these examples, except Coleman-Liau, further depend upon a count of so-called 'complex' or

Zettlr github