Cutting the Gordian Knot: The Moving-Average Type–Token Ratio (MATTR)

By Michael A. Covington, Joe D. McFall. Journal of Quantitative Linguistics, 2010

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Capturing the Diversity in Lexical Diversity. (2013, background): “His is one of only two solutions to the sample-size problem that actually do seem to overcome the sample-size dependency problem, though perhaps not fully satisfactorily (see, e.g., Covington & McFall, 2010; Malvern et al., 2004).”
Linguistic Features Identify Alzheimer’s Disease in Narrative Speech (2015, unknown): “Moving-average type-token ratio 418 (MATTR) was proposed by Covington and McFall 419 [58] as an adaptation of TTR that is independent 420 of text length.”
Quality evaluation of product reviews using an information quality framework (2011, methodology): “• The moving-average type/token ratios (MATTR) [4] in a review (f47).”
Assessing the Validity of Lexical Diversity Indices Using Direct Judgements (2020, methodology): “All indices of lexical diversity were calculated using the Tool for the Automatic Analysis of Lexical Diversity (TAALED),2 which calculates a range of classic (e.g., TTR and Guiraud’s index) and more robust indices of lexical variety (e.g., MATTR and MTLD), in addition to other diversity indices suc”