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Abstract Previous evidence has implicated personal relevance as a predictive factor in lexical access. Westbury (2014) showed that personally relevant words were rated having higher subjective familiarity than not relevant, suggesting are processed more fluently less words. Here we extend this work by defining measure of does rely on human judgments but is rather derived from first-order co-occurrence with the first-person singular pronoun, I . We show estimated most recognized quickly, named faster, judged familiar, and used infants earlier relevant. Self-relevance also strong predictor several measures usually measured only or their computational estimates, such familiarity, age acquisition, imageability, concreteness, body-object interaction. have made all self-relevance estimates (as well raw data code our experiments) available at https://osf.io/gdb6h/