Agreement attraction error and timing profiles in continuous speech

Margaret Kandel, Cassidy Wyatt, C. Phillips
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引用次数: 3

Abstract

Studies of agreement attraction in language production have shown that speakers systematically produce verb agreement errors in the presence of a local noun whose features differ from that of the agreement controller. However, in attraction experiments, these errors only ever occur in a subset of trials. In the present study, we applied a naturalistic scene-description paradigm to investigate how attraction affects the distribution of errors and the time-course of correctly inflected verbs. We conducted our experiment both in the lab and in an unsupervised web-based setting. The results were strikingly similar across the experimental settings for both the error and timing analyses, demonstrating that it is possible to conduct production experiments via the internet with a high level of similarity to those done in the lab. The experiments replicated the basic number attraction effect, though they elicited comparable interference from both singular and plural local nouns, challenging common assumptions about a strong plural markedness effect in attraction. We observed slowdowns before correct verbs that paralleled the distribution of agreement errors, suggesting that the process resulting in attraction can be active even when no error is produced. Our results are easily captured by a model of agreement attraction in which errors arise at the point of computing agreement, rather than reflecting earlier errors made during initial encoding of the subject number.
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连续讲话中的协议吸引错误和时间特征
对语言生成过程中一致性吸引的研究表明,当局部名词出现时,说话者会系统性地产生动词一致性错误,而局部名词的特征与一致性控制者不同。然而,在吸引力实验中,这些错误只会发生在一小部分实验中。在本研究中,我们采用自然情景描述范式来研究吸引力如何影响错误分布和正确屈折动词的时间过程。我们在实验室和无人监督的网络环境中进行了实验。在误差和时间分析的实验设置中,结果惊人地相似,这表明通过互联网进行生产实验与在实验室中进行的实验高度相似是可能的。这些实验复制了基本的数字吸引效应,尽管它们引起了来自单数和复数本地名词的类似干扰,挑战了关于复数吸引效应的普遍假设。我们观察到,在正确动词出现之前,语速减慢与一致性错误的分布是平行的,这表明,即使没有错误产生,导致吸引力的过程也可能是活跃的。我们的结果很容易被协议吸引力模型捕获,在该模型中,错误出现在计算协议的点上,而不是反映在受试者编号初始编码期间产生的早期错误。
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