Age-of-acquisition ratings for 30,000 English words

By Victor Kuperman, Hans Stadthagen-González, Marc Brysbaert. Behavior Research Methods, 2012

1,162 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Science Applications

View Paper: https://www.semanticscholar.org/paper/a5f62b9202f468d88950bdda4e4c75c3da47ee4b

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Citations in the corpus

Assessing Relative Sentence Complexity using an Incremental CCG Parser (2016, background): “…used psycholinguistic features such as age of acquisition of words, word imagery ratings, word familiarity ratings, and ambiguity of a word, collected from the psycholinguistic repositories Celex (Baayen et al., 1995), MRC (Wilson, 1988), AoA (Kuperman et al., 2012) and Word-Net (Fellbaum, 1998).”
GLUCOSE: GeneraLized and COntextualized Story Explanations (2020, methodology): “com/y2pn5cgl (7)Target age of individual stories was judged by age-ofacquisition and readability tests: Flesch-Kincaid Grade Level, the Coleman-Liau Index, and the Dale-Chall formula (Kuperman et al., 2012).”
Real-world visual statistics and infants' first-learned object names (2017, neutral): “By adult subjective judgment norms [58], the”
Automatically Assessing Lexical Sophistication: Indices, Tools, Findings, and Application (2015, methodology): “AoA values are positively correlated with both response times and accuracy scores on lexical decision tasks, and they add to the variance in these that are explained by traditional measures (e.g., frequency; Kuperman et al., 2012).”
Native Language Cognate Effects on Second Language Lexical Choice (2018, methodology): “Lexical richness was evaluated through typeto-token ratio (TTR), average age-of-acquisition (in years) of lexical items (Kuperman et al., 2012), and”
Digging up the building blocks of language: Age-of-acquisition effects for multiword phrases (2017, methodology): “Importantly, the correlation between the lexical AoA in our participant sample and that in the large-scale lexical AoA study (Kuperman et al., 2012) was very high (r = .”
Frequency in lexical processing (2016, methodology): “…psychologists are undecided on exactly what it means to “learn a word” (Tomasello, 2009), it would be truly remarkable if the magic months at which one learns words like doze (48 months) versus wiggle (96 months, both estimates from Kuperman et al., 2012) indeed affect adult reading times.”
Lexical Sophistication as a Multidimensional Phenomenon: Relations to Second Language Lexical Proficiency, Development, and Writing Quality (2018, neutral): “Additional AoA indices are based on Kuperman et al. (2012), and additional concreteness indices are based on Brysbaert et al. (2014).”
Subtlex-UK: A New and Improved Word Frequency Database for British English (2014, background): “…explained, the difference is nearly 3%, which is high given that many variables explain less than 1% of variance, once the effects of word frequency, word length, and similarity to other words are partialled out (Brysbaert, Buchmeier, et al., 2011; Brysbaert & Cortese, 2011; Kuperman et al., 2012).”
Concreteness ratings for 40 thousand generally known English word lemmas (2014, result): “The high correlation between our ratings and those included in the MRC database (r = .92) attests to both the reliability and the validity of our ratings (see also Kuperman et al., 2012; Warriner et al., in press, for similar findings with AMT vs lab-collected ratings).”
It’s going to be okay: Measuring Access to Support in Online Communities (2018, neutral): “…posting individuals, we include features known to be associated with age such as elongation and capitalization (Goswami et al., 2009; Barbieri, 2008), grammatical differences in sentence construction and length (Hovy and Søgaard, 2015), and a lexicon for age of acquisition (Kuperman et al., 2012).”