The DOI matches its Crossref record; 44 of the 46 references it cites were found in a registry or an index.
WordGen: A tool for word selection and nonword generation in Dutch, English, German, and French
Open accessAbstract
WordGen is an easy-to-use program that uses the CELEX and Lexique lexical databases for word selection and nonword generation in Dutch, English, German, and French. Items can be generated in these four languages, specifying any combination of seven linguistic constraints: number of letters, neighborhood size, frequency, summated position-nonspecific bigram frequency, minimum position-nonspecific bigram f requency, position-specific frequency of the initial and final bigram, and orthographic relatedness. The program also has a module to calculate the respective values of these variables for items that have already been constructed, either with the program or taken from earlier studies. Stimulus queries can be entered through WordGen's graphical user interface or by means of batch files. WordGen is especially useful for (1) Dutch and German item generation, because no such stimulus-selection tool exists for these languages, (2) the generation of nonwords for all four languages, because our program has some important advantages over previous nonword generation approaches, and (3) psycholinguistic experiments on bilingualism, because the possibility of using the same tool for different languages increases the cross-linguistic comparability of the generated item lists. WordGen is free and available at http://expsy.ugent.be/wordgen.htm.
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“All pseudoword items were checked against the Dutch CELEX corpus using WordGen (Duyck, Desmet, Verbeke, & Brysbaert, 2004) and were found to be nonexisting words.”
From Use of morphological and contextual cues in children’s lexical inferencing in L1 and L2 (2021) · cites this paper as Duyck, Desmet, Verbeke, & Brysbaert, 2004
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The MRC Psycholinguistic Database
Coltheart, M. (1981) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/14640748108400805 · Cited by 2,506
Bergum, B. O., & Dornič, S. (1978) · The American Journal of Psychology · doi:10.2307/1421701 · Cited by 1,778
Access to the Internal Lexicon
Coltheart, M., Davelaar, E., Jónasson, J. T., & Besner, D. (2022) · Routledge eBooks · doi:10.4324/9781003309734-29 · Cited by 1,306
Lexical access and naming time
Forster, K. I., & Chambers, S. M. (1973) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(73)80042-8 · Cited by 1,132
Lexique 2 : A new French lexical database
New, B., Pallier, C., Brysbaert, M., & Ferrand, L. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03195598 · Cited by 1,004
Self-citationSingulars and Plurals in Dutch: Evidence for a Parallel Dual-Route Model
Baayen, R. H., Dijkstra, T., & Schreuder, R. (1997) · Journal of Memory and Language · doi:10.1006/jmla.1997.2509 · Cited by 843
Orthographic Neighborhood Effects in Bilingual Word Recognition
van Heuven, W. J. B., Dijkstra, T., & Grainger, J. (1998) · Journal of Memory and Language · doi:10.1006/jmla.1998.2584 · Cited by 803
Gernsbacher, M. A. (1984) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.113.2.256 · Cited by 698
Foreign language knowledge can influence native language performance in exclusively native contexts
van Hell, J. G., & Dijkstra, T. (2002) · Psychonomic Bulletin & Review · doi:10.3758/bf03196335 · Cited by 651
5.8 The CELEX lexical database
Ooi, V. B. Y. (2019) · Edinburgh University Press eBooks · doi:10.1515/9781474471459-051 · Cited by 651
Flagged first, then by citations
2 of the 46 references couldn’t be matched to a known paper.
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- Baayen, R. H., Piepenbrock, R., &van Run, H. (1993).The CELEX lexical data base [CD-ROM]: Philadelphia: Linguistic Data Consortium, University of Pennsylvania.
- Baayen, R. H., Piepenbrock, R., &van Run, H. (1995).The CELEX lexical data base [CD-ROM 2nd Release]: Philadelphia: Linguistic Data Consortium, University of Pennsylvania.
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Brysbaert, M., & New, B. (2009) · Behavior Research Methods · doi:10.3758/brm.41.4.977 · Cited by 2,821
Self-citationThe representation of abstract words: Why emotion matters.
Kousta, S. T., Vigliocco, G., Vinson, D., Andrews, M. W., & Campo, E. D. (2010) · Journal of Experimental Psychology General · doi:10.1037/a0021446 · Cited by 958
Wuggy: A multilingual pseudoword generator
Keuleers, E., & Brysbaert, M. (2010) · Behavior Research Methods · doi:10.3758/brm.42.3.627 · Cited by 765
Self-citationNew method for fMRI investigations of language: defining ROIs functionally in individual subjects
Fedorenko, E., Hsieh, P.-J., Nieto-Castañón, A., Whitfield-Gabrieli, S., & Kanwisher, N. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00032.2010 · Cited by 686
The Neural Representation of Abstract Words: The Role of Emotion
Vigliocco, G., Kousta, S. T., Rosa, P. A. D., Vinson, D., Tettamanti, M., Devlin, J. T., & Cappa, S. F. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht025 · Cited by 520
Metadata
- Authors
- Duyck, W., Desmet, T., Verbeke, L. P. C., & Brysbaert, M.
- Affiliations
- Ghent University (BE)
- Royal Holloway University of London (GB)
- Corresponding author
- Duyck, Wouter
- Venue
- Behavior Research Methods, Instruments, & Computers
- Published
- 2004-08
- Volume
- 36
- Issue
- 3
- Pages
- 488-499
- ISSN
- 0743-3808 (ISSN-L)
- 1532-5970
- OpenAlex
- W2073556933
- Cited by
- 350
- References
- 46
- Citations by year
- 2026: 9 · 2025: 13 · 2024: 10 · 2023: 19 · 2022: 14 · 2021: 22 · 2020: 24 · 2019: 13 · 2018: 20 · 2017: 20 · 2016: 22 · 2015: 27 · 2014: 22 · 2013: 19 · 2012: 24
- FWCI
- 8.34
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Behavior Research Methods, Instruments, & Computers (publishedVersion)
- PubMed (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Funders
- Vlaamse regering
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Categorization, perception, and language
- Keywords
- word choice, CELEX, lexical databases, bigram frequency, neighborhood size, word frequency, Dutch language, English language, German, French language, bilingualism
- MeSH terms
- Electronic Data Processing, Choice Behavior, Humans, Language, Psycholinguistics, Vocabulary
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