We extend that line of work by directly analyzing and quantifying this bias, and by linking the results to methodological concerns in both NLP and psycholinguistics.
we predict human data from three widely used psycholinguistic experimental paradigms-lexical decision, word naming, and picture naming-using unigram frequency estimates from Google n-grams (Brants and Franz, 2006), Switchboard (Godfrey et al., 1992), spoken and written English portions of CELEX (Baayen et al., 1995), and spoken and written portions of the British National Corpus (BNC Consortium, 2007).