HIGHLIGHTS
SUMMARY
Recent studies have used different types of word vectors trained by various models to investigate reading behavior using datasets of eye-tracking, EEG and fMRI signals (Hollenstein, de la Torre, Langer, and amp; Zhang, 2019; Hollenstein et_al, 2021). A few other studies have examined the predictive effect of semantic similarity, a measure of the semantic connections or relations between words, sentences, documents, or concepts, on how words are processed, with the semantic similarity between words quantified as the distance between two word vectors (Rapp, 2002; Sahlgren, 2008); (Roland, Yun, Koenig, and amp; Mauner, 2012 . . .
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