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首页> 外文期刊>Journal of experimental psychology. Learning, memory, and cognition >Anticipating upcoming words in discourse: Evidence from ERPs and reading times
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Anticipating upcoming words in discourse: Evidence from ERPs and reading times

机译:预测话语中即将出现的单词:来自ERP和阅读时间的证据

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The authors examined whether people can use their knowledge of the wider discourse rapidly enough to anticipate specific upcoming words as a sentence is unfolding. In an event-related brain potential (ERP) experiment, subjects heard Dutch stories that supported the prediction of a specific noun. To probe whether this noun was anticipated at a preceding indefinite article, stories were continued with a gender-marked adjective whose suffix in mismatched the upcoming noun's syntactic gender. Prediction-inconsistant adjectives elicited a differential ERP effect, which disappeared in a no-discourse control experiment. Furthermore, in self-paced reading, prediction-inconsistent adjectives slowed readers down before the noun. These findings suggest that people can indeed predict upcoming words in fluent discourse and, moreover, that these predicted words can immediately begin to participate in incremental parsing operations.
机译:作者研究了人们是否可以足够快地利用他们对更广泛的话语的知识,以期随着句子的发展而预见即将出现的特定单词。在与事件相关的脑电势(ERP)实验中,受试者听到了荷兰语的故事,这些故事支持对特定名词的预测。为了探讨在前一个不定冠词中是否期望使用该名词,我们继续使用带有性别标记的形容词继续讲故事,该形容词的后缀与即将出现的名词的句法性别不匹配。预测不一致的形容词引起了不同的ERP效果,该效果在无话语控制实验中消失了。此外,在自定进度的阅读中,与预测不一致的形容词使读者在名词之前减速。这些发现表明,人们确实可以在流利的话语中预测即将到来的单词,此外,这些预测的单词可以立即开始参与增量解析操作。

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