Literature DB >> 15641437

WordGen: a tool for word selection and nonword generation in Dutch, English, German, and French.

Wouter Duyck1, Timothy Desmet, Lieven P C Verbeke, Marc Brysbaert.   

Abstract

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.

Mesh:

Year:  2004        PMID: 15641437     DOI: 10.3758/bf03195595

Source DB:  PubMed          Journal:  Behav Res Methods Instrum Comput        ISSN: 0743-3808


  61 in total

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8.  The frequency effect in second-language visual word recognition.

Authors:  Wouter Duyck; Dieter Vanderelst; Timothy Desmet; Robert J Hartsuiker
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9.  Selective visual representation of letters and words in the left ventral occipito-temporal cortex with intracerebral recordings.

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Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-23       Impact factor: 11.205

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