“…Distractors across categorically related and mediated phonological-semantic-related conditions were matched closely on a range of lexical properties using the English Lexicon Project normative database (Balota et al, 2007), including log frequency (SUBTLEX; Warriner et al, 2013), the number of letters, phonemes, and syllables, concreteness, age of acquisition (AoA; Kuperman et al, 2012), semantic diversity (Hoffman et al, 2013), orthographic (Yarkoni et al, 2008), and phonological (Suárez et al, 2011). Levenshtein distances (OLD20 and PLD20), spelling-to-sound (feedforward), and sound-tospelling (feedback) consistency measures for first syllable and composite (for multisyllabic words) onsets (Chee et al, 2020; see Table 1). The auditory distractors were recorded by a female native English speaker in an anechoic chamber, and edited and normalised using Audacity (Audacity Team, 2019) and the DC offset removed.…”