SMOG Grading - A New Readability Formula.

By G. Harry, M. Laughlin. 1969

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Citations in the corpus

The Principles of Readability. (2004, methodology): “The SMOG formula G. Harry McLaughlin (1969) published his SMOG formula in the belief that the word length and sentence length should be multiplied rather than added.”
Measuring Readability in Financial Disclosures (2013, unknown): “Other papers have used the number of words as a gauge of readability and complexity (see, Li (2008), You and Zhang (2009), Lawrence (2010), and Miller (2010)).”
Psychology Meets Machine Learning: Interdisciplinary Perspectives on Algorithmic Job Candidate Screening (2018, methodology): “1975), Gunning Fog Index (Gunning 1952), SMOG Index (McLaughlin 1969), Coleman Liau Index (Coleman and Liau 1975), LIX, and RIX (Anderson 1983), as implemented in an open-source contributed library for the Python NLTK toolkit.”
Revisiting Readability: A Unified Framework for Predicting Text Quality (2008, methodology): “link between word frequency/length and readability, such as Flesch-Kincaid (Kincaid, 1975), Automated Readability Index (Kincaid, 1975), Gunning Fog (Gunning, 1952), SMOG (McLaughlin, 1969), and Coleman-Liau (Coleman and Liau, 1975).”
How Readability Shapes Social Media Engagement (2018, background): “Word complexity is often proxied as word length or number of syllables (e.g., Flesch, 1948; Gunning, 1952; McLaughlin, 1969).”
Finding high-quality content in social media (2008, methodology): “Several measures of text readability have been proposed, including the Gunning-Fog Index [15], the Flesch-Kincaid Formula [21], and SMOG Grading [23].”
Human-Explainable Features for Job Candidate Screening Prediction (2017, methodology): “More specifically, we used 8 measures as features for the Readability representation: ARI [22], Flesch Reading Ease [12], FleschKincaid Grade Level [15], Gunning Fog Index [13], SMOG Index [16], Coleman Liau Index [8], LIX, and RIX [2].”
What Makes Online Content Viral? (2012, unknown): “We control for how difficult a piece of writing is to read using the SMOG Complexity Index (McLaughlin 1969). dictors This widely used index variable essen tially measures the grade-level appropriateness of the writ ing. tively ever Alternate complexity measures yield similar results.”
Phonological similarity effects in simple and complex span tasks (2011, methodology): “(Gunning, 1952), and SMOG (McLaughlin, 1969) indices.”
Sarcasm Detection on Twitter: A Behavioral Modeling Approach (2015, methodology): “We use as features: number of words, number of syllables, number of syllables per word in the tweet derived from the Flesch-Kincaid Grade Level Formula [8], number of polysyllables 4 and the number of polysyllables per word in the tweet derived from SMOG [22] (6 features).”