Fulltext:
63654.pdf
Embargo:
until further notice
Size:
231.6Kb
Format:
PDF
Description:
Publisher’s version
Publication year
2003Source
International Journal of Bilingual Education and Bilingualism, 6, 1, (2003), pp. 2-16ISSN
Publication type
Article / Letter to editor
Display more detailsDisplay less details
Organization
SW OZ DCC CO
SW OZ BSI OLO
Former Organization
SW OZ NICI CO
Journal title
International Journal of Bilingual Education and Bilingualism
Volume
vol. 6
Issue
iss. 1
Page start
p. 2
Page end
p. 16
Subject
PsycholinguisticsAbstract
Current multilingual word recognition models differ in their account of non-linguistic context effects, such as effects due to stimulus list composition and task demands. Several models assume that non-linguistic context can modulate the relative activation of words from different languages. One prominent example of such an approach is the Language Mode view by Grosjean (1997), according to which the relative state of activation of a multilingual's two or more languages and language processing mechanisms not only depends on characteristics of the stimulus input, but also on situational characteristics. However, recent studies do not support this viewpoint. It predicts, for instance, that for Dutch-English bilinguals performing a purely Dutch word recognition task, English word candidates should not be activated. Nevertheless, under precisely those circumstances, Dutch-English and Dutch-French cognates (words with a similar orthography and meaning across languages) were both processed differently from Dutch control words by relatively proficient Dutch-English-French trilinguals. On the basis of this and other studies, we argue in favor of a stimulus-driven model for visual word recognition in which non-linguistic context cannot affect the relative activation of word candidates from different languages.
This item appears in the following Collection(s)
- Academic publications [238441]
- Electronic publications [122537]
- Faculty of Social Sciences [29483]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.