Malay Lexicon Project 3: The impact of orthographic-semantic consistency on lexical decision latencies

被引:0
|
作者
Mohamed, Mirrah Maziyah [1 ,2 ]
Jared, Debra [1 ]
机构
[1] Univ Western Ontario, Dept Psychol, London, ON, Canada
[2] Univ Western Ontario, Dept Psychol, Interdisciplinary Res Bldg,1151 Richmond St, London, ON N6A 3K7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Psycholinguistics; morphology; visual word recognition; lexical decision; distributional semantics; orthographic-semantic consistency; Malay; MORPHOLOGICAL FAMILY-SIZE; WORD-FREQUENCY; TIME-COURSE; RICHNESS; ENGLISH; SOUND; REPRESENTATION; RECOGNITION; ACQUISITION; COMPUTATION;
D O I
10.1177/17470218241234668
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Theories of word processing propose that readers are sensitive to statistical co-occurrences between spelling and meaning. Orthographic-semantic consistency (OSC) measures provide a continuous estimate of the statistical regularities between spelling and meaning. Here we examined Malay, an Austronesian language that is agglutinative. In Malay, stems are often repeated in other words that share a related meaning (e.g., sunyi/quiet; ke-sunyi-an/silence; makan/eat; makan-an/foods). The first goal was to expand an existing large Malay database by computing OSC estimates for 2,287 monomorphemic words. The second goal was to explore the impact of root family size and OSC on lexical decision latencies for monomorphemic words. Decision latencies were collected for 1,280 Malay words of various morphological structures. Of these, data from 1,000 monomorphemic words were analysed in a series of generalised additive mixed models (GAMMs). Root family size and OSC were significant predictors of decision latencies, particularly for lower frequency words. We found a facilitative effect of root family size and OSC. Furthermore, we observed an interaction between root family size and OSC in that an effect of OSC was only apparent in words with larger root families. This interaction has not yet been explored in English but has the potential to be a new benchmark effect to test distributional models of word processing.
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页数:26
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