2020
DOI: 10.3758/s13428-020-01391-7
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Consistency norms for 37,677 english words

Abstract: Consistency reflects the mapping between spelling and sound. That is, a word is feedforward consistent if its pronunciation matches that of similarly spelled words, and feedback consistent if its spelling matches that of similar pronounced words. For a quasi-regular language such as English, the study of consistency effects on lexical processing has been limited by the lack of readily accessible norms. In order to improve current methodological resources, feedforward (spelling-to-sound) and feedback (sound-to-… Show more

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Cited by 22 publications
(22 citation statements)
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References 69 publications
(124 reference statements)
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“…All words were fully feedforward consistent based on rime according to the database provided by Ziegler et al 98 . When averaging across consistency values for each word’s onset, nucleus, and coda in the database provided by Chee et al 99 , words had an average token feedforward consistency of 0.79. All in all, there were 30 exemplars of each type of stimulus, for 120 exemplars total.…”
Section: Methodsmentioning
confidence: 99%
“…All words were fully feedforward consistent based on rime according to the database provided by Ziegler et al 98 . When averaging across consistency values for each word’s onset, nucleus, and coda in the database provided by Chee et al 99 , words had an average token feedforward consistency of 0.79. All in all, there were 30 exemplars of each type of stimulus, for 120 exemplars total.…”
Section: Methodsmentioning
confidence: 99%
“…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.…”
Section: Methodsmentioning
confidence: 99%
“…Needless to say, each of these two methodological decisions is justifiable. Thus, there is no a priori reason why one would use a type- or a token-based calculation for computing OSC, and it is likely that either mode of calculation provides important information on O-S associations that the other does not (see, e.g., Chee et al, 2020, for a discussion in the context of O-P regularities). Similarly, the decision to include information about the word itself in the calculation of OSC can be defended on a theoretical ground (for example, if a stem X is more frequent than a set of semantically-unrelated neighbors that include this stem—say Xy and Xz —in most cases where the orthographic form X is encountered the same meaning is present, and the original OSC definition captures that).…”
Section: What Are O-s Regularities and How Can They Be Measured?mentioning
confidence: 99%