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WHAT ARE THE FUNCTIONAL UNITS IN READING? EVIDENCE FOR STATISTICAL VARIATION INFLUENCING WORD PROCESSING

机译:阅读中的功能单位是什么?影响文字处理的统计变异证据

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Computational models of reading have differed in terms of whether they propose a single route forming the mapping between orthography and phonology or whether there is a lexical/sublexical route distinction. A critical test of the architecture of the reading system is how it deals with multi-letter graphemes. Rastle and Coltheart (1998) found that the presence of digraphs in nonwords but not in words led to an increase in naming times, suggesting that nonwords were processed via a distinct sequential route to words. In contrast Pagliuca, Monaghan, and Mclntosh (2008) implemented a single route model of reading and showed that under conditions of visual noise the presence of digraphs in words did have an effect on naming accuracy. In this study, we investigated whether such digraph effects could be found in both words and nonwords under conditions of visual noise. If so it would suggest that effects on words and nonwords are comparable. A single route connectionist model of reading showed greater accuracy for both words and nonwords containing digraphs. Experimental results showed participants were more accurate in recognising words if they contained digraphs. However contrary to model predictions they were less accurate in recognising nonwords containing digraphs compared to controls. We discuss the challenges faced by both theoretical perspectives in interpreting these findings and in light of a psycholinguistic grain size theory of reading.
机译:读数的计算模型在术语中是否提出了形成映射与音韵之间的映射的单个路径,或者是否存在词典/芳级路线区别。对阅读系统的架构的关键测试是它如何处理多字母图案。 Rastle和Coltheart(1998)发现,在非词汇中存在数字,但不是单词导致命名时间的增加,这表明通过与单词的不同连续路线处理非字。相比之下的Pagliuca,Monaghan和Mclntosh(2008)实施了一系列读取的读数模型,并显示出在视觉噪声的条件下,词语的存在对命名精度有影响。在这项研究中,我们调查了在视觉噪声条件下可以在单词和非词中找到这种数字效果。如果是这样,它就建议对单词和非字的影响是可比的。单个路由连接仪模型对于包含数字的单词和非字数表示更高的准确性。实验结果表明,如果它们含有上色,参与者更准确地识别出言语。然而,与模型预测相反,与对照相比,它们在识别含有数字的非字符号时不太准确。我们讨论了解释这些发现的理论视角,以及鉴于读取精神语言粒度理论的理论观点面临的挑战。

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