Disentangling cross-language orthographic neighborhood from markedness effects in L2 visual word recognition

被引:6
作者
Commissaire, Eva [1 ]
Audusseau, Jean [1 ]
Casalis, Severine [2 ]
机构
[1] Univ Strasbourg, Fac Psychol, EA4440, LPC, 12 Rue Goethe, F-67000 Strasbourg, France
[2] Univ Lille, CNRS, UMR 9193, SCALab, Rue Barreau, F-59653 Villeneuve Dascq, France
关键词
Visual word recognition; Bilingual; Orthographic neighborhood; DATABASE;
D O I
10.3758/s13423-018-1518-6
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
Previous research has reported that lexical access in bilinguals is language non-selective. In the present study, we explored the extent to which cross-language orthographic neighborhood size (N-size) effects, an index of language non-selectivity, should be dissociated from markedness effects, a sub-lexical orthographic variable referring to the degree of language- shared (unmarked) versus specific (marked) orthography. Two proficiency groups of French/English bilinguals performed an English (L2) lexical decision task with three word and non-word conditions: (1) English words with large French N-size/unmarked orthography (price), (2) small French N-size/unmarked orthography (drive), and (3) small French N-size/marked orthography (write). Evidence was found for orthographic markedness effects, albeit with a different pattern for word and non-word processing: while marked words were facilitated (responded to faster and more accurately) compared to unmarked words, the opposite pattern emerged for non-words. The pattern of results was comparable in both proficiency groups. No evidence emerged for the influence of first language (L1) neighborhood on L2 word or non-word processing. Thus, the results emphasize the need to integrate orthographic markedness as a relevant psycholinguistic variable in bilingual models of visual word recognition such as BIA/+ and to take it into account when investigating cross- language effects and the issue of language non-selectivity during visual word recognition.
引用
收藏
页码:353 / 359
页数:7
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