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句子理解中的预处理:对可能即将出现的意义和结构的敏感性。

Pre-processing in sentence comprehension: Sensitivity to likely upcoming meaning and structure.

作者信息

DeLong Katherine A, Troyer Melissa, Kutas Marta

机构信息

Department of Cognitive Science, University of California, San Diego, La Jolla, California, USA (UCSD).

Department of Cognitive Science, University of California, San Diego, La Jolla, California, USA (UCSD); Center for Research in Language, University of California, San Diego, La Jolla, California, USA (UCSD); Department of Neurosciences, University of California, San Diego, La Jolla, California, USA (UCSD); Kavli Institute for Brain and Mind, University of California, San Diego, La Jolla, California, USA (UCSD).

出版信息

Lang Linguist Compass. 2014 Dec;8(12):631-645. doi: 10.1111/lnc3.12093. Epub 2014 Dec 8.

Abstract

For more than a decade, views of sentence comprehension have been shifting toward wider acceptance of a role for linguistic pre-processing-that is, anticipation, expectancy, (neural) pre-activation, or prediction-of upcoming semantic content and syntactic structure. In this survey, we begin by examining the implications of each of these "brands" of predictive comprehension, including the issue of potential costs and consequences to not encountering highly constrained sentence input. We then describe a number of studies (many using online methodologies) that provide results consistent with prospective sensitivity to various grains and levels of semantic and syntactic information, acknowledging that such pre-processing is likely to occur in other linguistic and extralinguistic domains, as well. This review of anticipatory findings also includes some discussion on the relationship of priming to prediction. We conclude with a brief examination of some possible limits to prediction, and with a suggestion for future work to probe whether and how various strands of prediction may integrate during real-time comprehension.

摘要

十多年来,句子理解的观点已逐渐转向更广泛地接受语言预处理的作用,即对即将出现的语义内容和句法结构的预期、期望、(神经)预激活或预测。在本次综述中,我们首先考察每种“品牌”的预测性理解的影响,包括未遇到高度受限的句子输入时可能产生的成本和后果问题。然后,我们描述了一些研究(许多采用在线方法),这些研究的结果与对各种粒度和语义及句法信息水平的前瞻性敏感性一致,同时承认这种预处理也可能发生在其他语言和非语言领域。对预期性研究结果的这一综述还包括一些关于启动与预测关系的讨论。我们最后简要考察了预测可能存在的一些限制,并对未来的研究提出了建议,以探究在实时理解过程中各种预测线索是否以及如何整合。

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