Age-of-acquisition and subjective frequency estimates for all generally known monosyllabic French words and their relation with other psycholinguistic variables

Ferrand, Ludovic; Bonin, Patrick; Méot, Alain; Augustinova, Maria; New, Boris; Pallier, Christophe; Brysbaert, Marc

doi:10.3758/brm.40.4.1049

Cited by 88 publications

(93 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These results are at odds with those presented by Marques et al (2007), in which familiarity and transformed written-word frequency were significant predictors (but written-word frequency was not analyzed in the model). On the other hand, in Ferrand et al (2008) and Bird et al (2001), frequency was a significant predictor of rated AoA.…”

Section: Methodsmentioning

confidence: 96%

Age-of-acquisition norms for a set of 1,749 Portuguese words

Cameirão

Vicente

2010

Behavior Research Methods

View full text Add to dashboard Cite

In 1973, Carroll and White showed that words acquired earlier in life tend to be processed faster and more accurately than later acquired words in a picture naming task. From that moment on, age of acquisition (AoA) was considered to be a relevant psycholinguistic variable, and several experimental studies have replicated the effect found by Carroll and White in many paradigms (e.g., picture naming-Barry, Holmes & Ellis, 2006;Lambon Ralph & Ehsan, 2006; written-word naming-Brysbaert, Lange, & Van Wijnendaele, 2000;Monaghan & Ellis, 2002a, 2002bMorrison & Ellis, 1995 lexical decision-Gerhand & Barry, 1999;Turner, Valentine, & Ellis, 1998). In fact, AoA seems to be the main variable that influences the speed of lexical processing, and its effect remains even when other variables, such as cumulative frequency, are controlled (Pérez, 2007). Recently, an extensive study conducted by Cortese and Khanna (2007) , and Portuguese (Vicente, 2004;Vicente, Castro, & Walley, 2008). It is also consistent throughout the entire life span, since it has been found in children (D'Amico, Devescovi, & Bates, 2001), young adults, and older subjects (Barry, Johnston, & Wood, 2006). Similarly, early acquired words are the last to deteriorate in neuropsychological disorders such as Alzheimer's disease (Sartori, Lombardi, & Mattiuzzi, 2005) and aphasia (Hirsh & Ellis, 1994). These studies highlight the vital importance of AoA in lexical processing and emphasize the need to control AoA in experimental and neuropsychological studies. For that purpose, researchers need to have access to AoA norms.There are two ways of collecting AoA data: (1) using adult estimates (see, e.g., Bird, Franklin, & Howard, 2001;Marques, Fonseca, Morais, & Pinto, 2007) or (2) analyzing the performance of children in naming tasks (e.g., Chalard, Bonin, Méot, Boyer, & Fayol, 2003). In the first method, adults are asked to estimate the age at which they possibly learned a given word. In the second method, the experimenter presents pictures to children of different age cohorts, and the average AoA is usually calculated when at least 75% of the children can name the picture (Morrison, Chappell, & Ellis, 1997). It has been shown that adult estimates are as valid and reliable as the data collected with children and that the norms provided by the two methods are highly correlated (Ghyselinck, De Moor, & Brysbaert, 2000;Morrison et al., 1997;Pind, Jónsdóttir, Gissurardóttir, & Jónsson, 2000). Moreover, the correlations between the two types of norms are still significant even when other variables, such as familiarity, frequency, and phonological length, are controlled . So, when it is not possible to obtain objective data, adult estimates seem to be a valid and reliable AoA measure.Current lexical databases of AoA norms use both methods. Table 1 summarizes the main AoA norms that have been published since 1997. There is only one published lexical database for Portuguese (Marques et al., 2007). In that database, the authors collected AoA estimates for 834Age-of-acquisit...

show abstract

Section: Methodsmentioning

confidence: 96%

Age-of-acquisition norms for a set of 1,749 Portuguese words

Cameirão

Vicente

2010

Behavior Research Methods

View full text Add to dashboard Cite

show abstract

“…However, the use of rated AoA to investigate agelimited learning effects in lexical processing has been criticized, because AoA should be considered as a behavioral outcome and not as a genuine independent variable (Bonin et al, 2004;Bonin, Méot, Mermillod, Ferrand, & Barry, 2009;Zevin & Seidenberg, 2002. Nevertheless, rated AoA is still used as a factor to investigate current issues in picture naming (e.g., Dent, Johnston, & Humphreys, 2008;Laganaro & Perret, 2011), and work is still being conducted to collect AoA norms for a long list of words (e.g., Cortese & Khanna, 2008;Ferrand et al, 2008). We also included objective frequency in our analyses, and these values are reported for the modal names provided for each object.…”

Section: The Russian Languagementioning

confidence: 99%

Russian norms for name agreement, image agreement for the colorized version of the Snodgrass and Vanderwart pictures and age of acquisition, conceptual familiarity, and imageability scores for modal object names

2011

Self Cite

View full text Add to dashboard Cite

“…; e.g., Balota, Pilotti, & Cortese, 2001;Brysbaert & New, 2009;Cortese & Fugett, 2004;Cortese & Khanna, 2008;Desrochers & Thompson, 2009;Ferrand et al, 2008;New, Pallier, Brysbaert, & Ferrand, 2004;Stadthagen-Gonzalez & Davis, 2006).…”

Section: P Smentioning

confidence: 99%

The French Lexicon Project: Lexical decision data for 38,840 French words and 38,840 pseudowords

Ferrand

New

Brysbaert

et al. 2010

Behavior Research Methods

Self Cite

221

227

View full text Add to dashboard Cite

488 P SUnderstanding the cognitive processes underlying visual word recognition remains a major challenge in psycholinguistics, cognitive psychology, and cognitive science. In fewer than 30 years, a large amount of work has identified a number of relevant variables that affect the speed and accuracy with which words can be processed (for reviews, see Balota, Yap, & Cortese, 2006;Rastle, 2007). However, at the same time, it is becoming clear that the existing approach has its limitations. Nearly all research has been based on small studies involving a limited set of monosyllabic, monomorphemic words selected according to factorial designs with a limited number of independent variables matched on a series of control variables.The emphasis on monosyllabic words can easily be understood by the facts that these words are relatively simple stimuli to work with, that researchers wanted to limit the number of words implemented in their computational models, and that, for these words, a lot of ratings about their lexical characteristics are available (such as subjective frequency, age of acquisition, imageability, etc.; e.g., Balota, Pilotti, & Cortese, 2001;Brysbaert & New, 2009;Cortese & Fugett, 2004;Cortese & Khanna, 2008;Desrochers & Thompson, 2009;Ferrand et al., 2008;New, Pallier, Brysbaert, & Ferrand, 2004;Stadthagen-Gonzalez & Davis, 2006).The strong emphasis on monosyllabic monomorphemic words is a serious limitation, however, given that they represent fewer than 15% of the words known. As Yap and Balota (2009) recently argued, the important next step is to understand the cognitive processes underlying the visual word recognition of more complex words-that is, polysyllabic and polymorphemic words (for such a view, see also Assink & Sandra, 2003;Ferrand & New, 2003;Ferrand & Segui, 2003). The English Lexicon ProjectAn interesting alternative approach was initiated by Balota et al. (2007) The French Lexicon Project involved the collection of lexical decision data for 38,840 French words and the same number of nonwords. It was directly inspired by the English Lexicon Project (Balota et al., 2007) and produced very comparable frequency and word length effects. The present article describes the methods used to collect the data, reports analyses on the word frequency and the word length effects, and describes the Excel files that make the data freely available for research purposes. The word and pseudoword data from this article may be downloaded from http://brm.psychonomic-journals.org/content/supplemental.

show abstract

Age-of-acquisition and subjective frequency estimates for all generally known monosyllabic French words and their relation with other psycholinguistic variables

Cited by 88 publications

References 35 publications

Age-of-acquisition norms for a set of 1,749 Portuguese words

Age-of-acquisition norms for a set of 1,749 Portuguese words

Russian norms for name agreement, image agreement for the colorized version of the Snodgrass and Vanderwart pictures and age of acquisition, conceptual familiarity, and imageability scores for modal object names

The French Lexicon Project: Lexical decision data for 38,840 French words and 38,840 pseudowords

Contact Info

Product

Resources

About