Department of Psychology, University of South Carolina, Columbia, SC 29208, USA.
Mem Cognit. 2012 May;40(4):628-41. doi: 10.3758/s13421-011-0170-4.
Semantic predictability facilitates word recognition during language processing. One possible explanation for this facilitation is that highly specific predictions generated online during language processing preactivate some features of upcoming words. To explore whether, how, and when these predictions affect visual word recognition, in the two experiments reported here we investigated the influence of semantic predictability on transposed-letter priming. In order to do so, a paradigm that combines self-paced word-by-word reading with masked priming was developed. Transposed-letter priming occurred in nonconstraining contexts but not in constraining contexts, indicating that readers use context to make predictions about both letter identity and position in upcoming words, and that these predictions have an early influence on visual word recognition.
语义可预测性有助于语言处理过程中的单词识别。这种促进作用的一种可能解释是，语言处理过程中在线生成的高度特定的预测预先激活了即将到来的单词的某些特征。为了探索这些预测如何以及何时影响视觉单词识别，在本文报告的两个实验中，我们研究了语义可预测性对转置字母启动的影响。为了做到这一点，我们开发了一种结合自我调整逐字阅读和掩蔽启动的范式。转置字母启动仅在非约束语境中发生，而不在约束语境中发生，这表明读者使用语境来预测即将到来的单词中的字母身份和位置，并且这些预测对视觉单词识别有早期影响。
