Eye movements reveal the on-line computation of lexical probabilities during reading
Eye movements reveal the on-line computation of lexical probabilities during reading
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DOI：
10.1046/j.0956-7976.2003.psci_1480.x
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发表时间：
2003-11-01
影响因子：
8.2
通讯作者：
Shillcock, RC
中科院分区：
文献类型：
--
作者：
McDonald, SA;Shillcock, RC
熟练的读者能够从视觉输入流中获得意义，效率非常高。在这篇文章中，我们提出了第一个证据表明，统计信息潜伏在语言环境中可以有助于阅读行为的帐户。在两个眼动跟踪研究中，我们证明了单词之间的过渡概率对固定持续时间有可测量的影响，并使用一个简单的贝叶斯统计模型，我们表明，通过结合过渡概率与单词发生的先验概率得到的词汇概率提供了最简约的眼动数据。我们认为，大脑能够利用统计信息来快速估计即将出现的单词的词汇概率：一种计算成本低廉的机制，可能是熟练阅读的基础。
Skilled readers are able to derive meaning from a stream of visual input with remarkable efficiency. In this article, we present the first evidence that statistical information latent in the linguistic environment can contribute to an account of reading behavior. In two eye-tracking studies, we demonstrate that the transitional probabilities between words have a measurable influence on fixation durations, and using a simple Bayesian statistical model, we show that lexical probabilities derived by combining transitional probability with the prior probability of a word's occurrence provide the most parsimonious account of the eye movement data. We suggest that the brain is able to draw upon statistical information in order to rapidly estimate the lexical probabilities of upcoming words: a computationally inexpensive mechanism that may underlie proficient reading.