Moving beyond Coltheart’s N: A new measure of orthographic similarity

By Tal Yarkoni, David A. Balota, M. Yap. Psychonomic Bulletin & Review, 2008

650 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology

View Paper: https://www.semanticscholar.org/paper/81ffdfa52852fac3b3f77322b21855b93472f6f7

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In Artificial Intelligence

In Developmental and Educational Psychology

Citations in the corpus

Visual word recognition of multisyllabic words (2009, methodology): “It is very clear that these new measures of orthographic and phonological similarity are powerful predictors compared to traditional measures of orthographic and phonological neighborhoods (see detailed analyses in Yarkoni et al., 2008).”
Choosing prediction over explanation in psychology: Lessons from machine learning (2017, background): “…domains; for example, the development of large psycholinguistic databases such as the English Lexicon Project (Balota et al., 2007) has provided researchers with a powerful and widely used benchmark for evaluating new measures and models (e.g., Brysbaert & New, 2009; Yarkoni, Balota, & Yap, 2008).”
Linguistic Distributional Knowledge and Sensorimotor Grounding both Contribute to Semantic Category Production (2020, methodology): “Step 1 comprised crossed random effects of participant and item (category), and fixed effects relating to lexical properties of the member concept that can influence time required to speak a word aloud: log word frequency (LgSUBTLWF), phonological Levenshtein distance (PLD20; Yarkoni et al., 2008), ”
Age-of-acquisition ratings for 30,000 English words (2012, background): “Yarkoni, Balota, and Yap (2008), however, introduced a measure, OLD20, that captures more variance in both lexical-decision times (Ferrand et al., 2011; Ferrand et al., 2010) and naming latencies (Yarkoni et V. Kuperman (*) Department of Linguistics and Languages, McMaster University, Togo Salmon…”
Effects of primary and secondary morphological family size in monolingual and bilingual word processing (2014, background): “However, Yarkoni, Balota, and Yap (2008) observed that OLD-20 produced a positive coefficient in their monolingual data.”
Phonological Neighborhood Effects in Spoken Word Perception and Production (2016, background): “…complex metrics account for greater proportions of variance in reaction time measures of (visual) lexical decision and (visual) word naming (e.g., Yarkoni et al. 2008; also see Luce & Pisoni 1998, Luce et al. 2000), the simple one-phoneme metric has proven enormously useful in research on the…”
Demythologizing the word frequency effect: A discriminative learning perspective (2010, methodology): “At the word level, four predictors are included: the words’ neighborhood density, gauged either by Coltheart’s N (Ncount, (Coltheart, 1978)) or by the Orthographic Levenshtein Distance measure of Yarkoni, Balota, and Yap (2008).”