This paper introduces and summarizes the special issue on megastudies, crowdsourcing,
and large datasets in psycholinguistics. We provide a brief historical overview and show …

Scientific studies of language behavior need to grapple with a large diversity of languages in
the world and, for reading, a further variability in writing systems. Yet, the ability to form …

Word processing studies increasingly make use of regression analyses based on large
numbers of stimuli (the so-called megastudy approach) rather than experimental designs …

Abstract We present the Chinese Lexical Database (CLD): a large-scale lexical database for
simplified Chinese. The CLD provides a wealth of lexical information for 3913 one-character …

Visual word recognition is an integral aspect of reading. Although readers are able to
recognize visually presented words with apparent ease, the processes that map orthography …

Using a megastudy approach, we developed a database of lexical variables and lexical
decision reaction times and accuracy rates for more than 25,000 traditional Chinese two …

Here we report on MELD-SCH (MEgastudy of Lexical Decision in Simplified CHinese), a
dataset that contains the lexical decision data of 1,020 one-character, 10,022 two-character …

Lexical frequency is one of the strongest predictors of word processing time. The
frequencies are often calculated from book-based corpora, or more recently from subtitle …

Psycholinguistic research has been advanced by the development of word recognition
megastudies. For instance, the English Lexicon Project (Balota et al., 2007) provides …

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 …