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In a series of analyses over mega datasets, Jones, Johns, & Recchia (2012) and Johns et al. (2012) found that a measure of semantic distinctiveness (SD), which takes into account the semantic variability of a word's contexts, provides a better fit to both visual and spoken word data than traditional measures, such as word frequency or raw context counts. The present study offers strong empirical support for this account's extensibility to natural language. In a self-paced reading experiment,doi:10.1037/e633262013-924 fatcat:mnvpcrmtpnbt7oh2mfigprrhg4