Recognition times for 62 thousand English words: Data from the English Crowdsourcing Project

Pawel Mandera, Emmanuel Keuleers, Marc Brysbaert

Research output: Contribution to journalArticleScientificpeer-review

40 Citations (Scopus)

Abstract

We present a new dataset of English word recognition times for a total of 62 thousand words, called the English Crowdsourcing Project. The data were collected via an internet vocabulary test in which more than one million people participated. The present dataset is limited to native English speakers. Participants were asked to indicate which words they knew. Their response times were registered, although at no point were the participants asked to respond as quickly as possible. Still, the response times correlate around .75 with the response times of the English Lexicon Project for the shared words. Also, the results of virtual experiments indicate that the new response times are a valid addition to the English Lexicon Project. This not only means that we have useful response times for some 35 thousand extra words, but we now also have data on differences in response latencies as a function of education and age.
Original languageEnglish
Pages (from-to)741-760
JournalBehavior Research Methods
Volume52
DOIs
Publication statusPublished - 2020

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