Recognition Times for 54 Thousand Dutch Words: Data from the Dutch Crowdsourcing Project. Issue 1 (17th July 2019)
- Record Type:
- Journal Article
- Title:
- Recognition Times for 54 Thousand Dutch Words: Data from the Dutch Crowdsourcing Project. Issue 1 (17th July 2019)
- Main Title:
- Recognition Times for 54 Thousand Dutch Words: Data from the Dutch Crowdsourcing Project
- Authors:
- Brysbaert, Marc
Keuleers, Emmanuel
Mandera, Paweł - Abstract:
- We present a new database of Dutch word recognition times for a total of 54 thousand words, called the Dutch Crowdsourcing Project. The data were collected with an internet vocabulary test. The database is limited to native Dutch speakers. Participants were asked to indicate which words they knew. Their response times were registered, even though the participants were not asked to respond as fast as possible. Still, the response times correlate around .7 with the response times of the Dutch Lexicon Projects for shared words. Also results of virtual experiments indicate that the new response times are a valid addition to the Dutch Lexicon Projects. This not only means that we have useful response times for some 20 thousand extra words, but we now also have data on differences in response latencies as a function of education and age. The new data correspond better to word use in the Netherlands.
- Is Part Of:
- Psychologica belgica. Volume 59:Issue 1(2019)
- Journal:
- Psychologica belgica
- Issue:
- Volume 59:Issue 1(2019)
- Issue Display:
- Volume 59, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 59
- Issue:
- 1
- Issue Sort Value:
- 2019-0059-0001-0000
- Page Start:
- 281
- Page End:
- 300
- Publication Date:
- 2019-07-17
- Subjects:
- word recognition -- megastudy -- open access
- Journal URLs:
- http://www.psychologicabelgica.com/ ↗
- DOI:
- 10.5334/pb.491 ↗
- Languages:
- English
- ISSNs:
- 2054-670X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 14676.xml