Brysbaert Marc, Keuleers Emmanuel, Mandera Paweł
Department of Experimental Psychology, Ghent University, BE.
Department Cognitive Science and Artificial Intelligence, Tilburg University, NL.
Psychol Belg. 2019 Jul 17;59(1):281-300. doi: 10.5334/pb.491.
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.
我们展示了一个新的荷兰语单词识别时间数据库，其中包含总共54000个单词，称为荷兰众包项目。这些数据是通过互联网词汇测试收集的。该数据库仅限于以荷兰语为母语的人。参与者被要求指出他们认识哪些单词。他们的反应时间被记录下来，尽管没有要求参与者尽可能快地做出反应。尽管如此，对于共享单词，这些反应时间与荷兰词汇项目的反应时间的相关性约为0.7。虚拟实验的结果也表明，新的反应时间是对荷兰词汇项目的有效补充。这不仅意味着我们有了约20000个额外单词的有用反应时间，而且我们现在还拥有了关于反应潜伏期差异随教育程度和年龄变化的数据。新数据与荷兰的单词使用情况更相符。
