The English Lexicon Project
By David A. Balota, M. Yap, Keith A Hutchison, Michael J Cortese, Brett Kessler, B. Loftis, J. Neely, D. Nelson, G. Simpson, Rebecca Treiman. Behavior Research Methods, 2007
2,536 citations recorded by the source corpus.
Subfields: Developmental and Educational Psychology, Experimental and Cognitive Psychology, Language and Linguistics
View Paper: https://www.semanticscholar.org/paper/aaa8f3b7504476727e72806e6f9ded01e13cd494
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Developmental and Educational Psychology
- Marc Brysbaert
- Victor Kuperman
- Emmanuel Keuleers
- Scott Andrew Crossley
- Boris New
- Amy Beth Warriner
- Paweł Mandera
- Hans Stadthagen-González
In Experimental and Cognitive Psychology
- Scott Andrew Crossley
- Marc Brysbaert
- Victor Kuperman
- Tal Yarkoni
- Joel Koopman
- J. Havelka
- T. Eilola
- Ton Dijkstra
In Language and Linguistics
- Marc Brysbaert
- Victor Kuperman
- J. Havelka
- T. Eilola
- Boris New
- Ton Dijkstra
- Viorica Marian
- Tal Yarkoni
Citations in the corpus
- Choosing prediction over explanation in psychology: Lessons from machine learning (2017, background): “Indeed, a similar trend is already evident in some 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.”
- Beyond single syllables: large-scale modeling of reading aloud with the Connectionist Dual Process (CDP++) model. (2010, neutral): “Table 3 Percentage of variance (R(2)) explained in different steps of the hierarchical regression analysis on the ELP (Balota et al., 2007), Yap and Balota (2009), and Chateau and Jared (2003) items and by CDP++ (including onset coding).”
- Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation (2018, background): “REAGENT or RESOURCE SOURCE IDENTIFIER Deposited Data Raw and processed MRI data Gordon et al., 2017c https://openfmri.org/dataset/ds000224 Accession # ds000224 Task fMRI activations Gordon et al., 2017c https://neurovault.org/collections/2447/ Psychological Image Collection at Stirling 2D face set h”
- The representation and processing of identical cognates by late bilinguals: RT and ERP effects (2013, background): “Table 3 shows the RTs for all our word stimuli from the English Lexicon Project database (ELP: Balota et al., 2007).”
- REM, not incubation, improves creativity by priming associative networks (2009, background): “log HAL word frequency (40) for all words used in the analogies was 1.”
- Lexical Sophistication as a Multidimensional Phenomenon: Relations to Second Language Lexical Proficiency, Development, and Writing Quality (2018, neutral): “, 2016), words that are contextually less diverse (McDonald & Shillcock, 2001), words with fewer phonological and orthographical neighbors (Balota et al., 2007), words that are more specific (Fellbaum, 1998), words that elicit slower response times in lexical decision tasks (Balota et al.”
- CLEARPOND: Cross-Linguistic Easy-Access Resource for Phonological and Orthographic Neighborhood Densities (2012, background): “While neighborhood information for some languages has been made available in the past [13,15,20,21], the database that we present here provides comparable corpora and analyses across languages.”
- Behavioural and physiological responses to the emotional and taboo Stroop tasks in native and non-native speakers of English (2011, methodology): “The words selected also did not differ in Kucera and Francis frequency, HAL log frequency, mean lexical decision time and mean naming time based on the database in the English Lexicon Project (Balota et al., 2007).”
- Precision functional mapping of individual human brains (2017, neutral): “…Spacek’s Facial Imaging Database cmp.felk.cvut.cz/ spacelib/faces/ English Lexicon Project Balota et al., 2007 http://elexicon.wustl.edu/ Software and Algorithms MATLAB Mathworks RRID: SCR_001622 https://www.mathworks.com/ Connectome…”
- Subtlex-UK: A New and Improved Word Frequency Database for British English (2014, background): “The reaction times come from the English Lexicon Project (ELP; circles; Balota et al., 2007) and the British Lexicon Project (BLP; squares; Keuleers, Lacey, Rastle, & Brysbaert, 2012), which contain lexical decision times to over 40 thousand words of American English (ELP) or over 28 thousand…”
- Age-of-acquisition ratings for 30,000 English words (2012, methodology): “Brysbaert et al. (2011) ran a stepwise regression analysis on the lexical-decision times of the English Lexicon Project (Balota et al., 2007).”
- Getting Explicit About the Implicit (2012, background): “References like the English Lexicon Project (Balota et al., 2007), the Uhlmann et al. 573 Frequency Dictionary of Contemporary American English (Davies & Gardner, 2010), and the University of South Florida Free Association, Rhyme, and Word Fragment Norms (Nelson, McEvoy, & Schreiber, 2004) indicate…”
- Moving beyond Kučera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English (2009, background): “( Balota et al., 2007; http://elexicon.wustl.edu/).”