Trent University, Peterborough, ON, Canada.
Mem Cognit. 2011 Oct;39(7):1332-47. doi: 10.3758/s13421-011-0095-y.
Computational accounts of reading aloud largely ignore context when stipulating how processing unfolds. One exception to this state of affairs proposes adjusting the breadth of lexical knowledge in such models in response to differing contexts. Three experiments and corresponding simulations, using Coltheart, Rastle, Perry, Langdon, and Ziegler's (2001) dual-route cascaded model, are reported. This work investigates a determinant of when a pseudohomophone such as brane is affected by the frequency of the word from which it is derived (e.g., the base word frequency of brain) by examining performance under conditions where it is read aloud faster than a nonword control such as frane. Reynolds and Besner's (2005a) lexical breadth account makes the novel prediction that when a pseudohomophone advantage is seen, there will also be a base word frequency effect, provided exception words are also present. This prediction was confirmed. Five other accounts of this pattern of results are considered and found wanting. It is concluded that the lexical breadth account provides the most parsimonious account to date of these and related findings.
在规定处理过程如何展开时,计算阅读 aloud 的说明在很大程度上忽略了上下文。这种情况下的一个例外是提出根据不同的上下文调整词汇知识的广度。本文报告了三个实验和相应的模拟,使用了 Coltheart、Rastle、Perry、Langdon 和 Ziegler(2001)的双重路径级联模型。这项工作通过检查在某些条件下,当一个假同音字(如 brane)比非词控制(如 frane)更快地朗读时,它受到其来源词的频率(例如,基词频率 brain)的影响,从而研究了一个决定因素。Reynolds 和 Besner(2005a)的词汇广度解释提出了一个新的预测,即在看到假同音字优势时,只要存在例外词,也会出现基词频率效应。这一预测得到了证实。考虑了其他五种对这种结果模式的解释,发现它们都不成立。结论是,词汇广度解释迄今为止为这些和相关发现提供了最简约的解释。