Raygor readability estimate
The Raygor estimate graph is a readability metric for English text. It was developed by Alton L. Raygor, who published it in 1977.
A rendition of the Raygor Graph.
The US grade level is calculated by the average number of sentences and letters per hundred words. These averages are plotted onto a specific graph where the intersection of the average number of sentences and the average number of letters/word determines the reading level of the content. Note that this graph is very similar to the Fry readability formula's graph.
This graph is primarily used in secondary education to help classify teaching materials and books into their appropriate reading groups.
The formula
- Extract a 100-word passage from the selection. 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.
gollark: Current AI stuff doesn't have "minds" comparable to that of humans.
gollark: They don't really "think", or at least they don't really do goal-oriented behavior.
gollark: Well, skin isn't a very good thermal conductor, so you would probably have to pump blood into and out of your hand too.
gollark: Programmers are expensive. Compute time is cheap. If they could write reasonably usable code automatically, they could outcompete everyone else.
gollark: It's not that simple, or someone would already have *done* this and taken over the entire software industry.
References
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.