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the Fog Index is that longer words and sentences make text harder to read. To calculate the Fog Index, one adds the average sentence length to the percentage of polysyllable (more than three syllables) words, and then multiplies that result by 0.4 (Gunning, 1973, as cited by University of Missouri). The answer then indicates the approximate grade
This is a tool that tries to calculate the Gunning Fog Index. It is a weighted average of the number of words per sentence, and the number of long words per word.
12 de nov. de 2023 · This research investigates the influence of the Gunning Fog Index (GFI) on the production of PlantUML use case diagrams by ChatGPT, within the context of software development projects ...
Gunning fog index. In linguistics, the Gunning fog index is a readability test for English writing. The index estimates the years of formal education a person needs to understand the text on the first reading. For instance, a fog index of 12 requires the reading level of a United States high school senior (around 18 years old).
The Gunning Fog Index (Gunning, 1952, revised in Bogert, 1985), finally, attempts to distil a grade-level measure similar to the Flesch-Kincaid formula’s, but places a stronger emphasis on the ratio of polysyllabic (“complex”) to mono- or disyllabic words present in the text.
Using Gunnnig-Fog Index to Assess Instant Messages Readability from ECAs. Arnold Depickere. 2007, Third International Conference on Natural Computation (ICNC 2007) Vol V. See Full PDF. Download PDF.
The Fog Index - the. commonly applied readability measure - is shown to be poorly specified in applications. Of Fog's two components, one is misspecified and the other is. to measure. We report that 10-K document file size provides a simple. proxy that outperforms the Fog Index, does not require document parsing,
