What eye movements can tell us about sentence comprehension.
What eye movements can tell us about sentence comprehension.
复制标题
眼球运动可以告诉我们关于句子理解的哪些信息
DOI：
10.1002/wcs.1209
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Felix Engelmann
中科院分区：
文献类型：
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作者：
Shravan Vasishth;Titus von der Malsburg;Felix Engelmann
眼动数据已被证明是非常有用的研究人类的句子处理。眼动研究已经解决了一系列问题，如花园路径后的恢复机制，驱动理解的过程的时间，预期和期望在句法分析中的作用，语义，语用和韵律信息的作用等等，但是，在基于眼动的推理方面存在一些局限性。一个涉及到解析和眼动控制系统之间的非平凡的相互作用，这使得眼动数据的解释变得复杂。详细的计算模型，整合解析与眼动控制理论有可能解开复杂的眼动数据，因此可以帮助解释眼动。另一个局限性是使用传统的基于单词的眼动跟踪测量难以捕获眼动中的时空模式。最近的研究已经证明了这些模式的相关性，并显示了如何分析它们。在这篇综述中，我们专注于阅读，并提出了一些例子，展示了眼动数据如何揭示当解析器遇到困难时会发生什么事件，以及解析系统如何与眼动控制相互作用。doi：10.1002/wcs.1209这篇文章分类下：语言学>语言的计算模型
Eye movement data have proven to be very useful for investigating human sentence processing. Eyetracking research has addressed a wide range of questions, such as recovery mechanisms following garden‐pathing, the timing of processes driving comprehension, the role of anticipation and expectation in parsing, the role of semantic, pragmatic, and prosodic information, and so on. However, there are some limitations regarding the inferences that can be made on the basis of eye movements. One relates to the nontrivial interaction between parsing and the eye movement control system which complicates the interpretation of eye movement data. Detailed computational models that integrate parsing with eye movement control theories have the potential to unpack the complexity of eye movement data and can therefore aid in the interpretation of eye movements. Another limitation is the difficulty of capturing spatiotemporal patterns in eye movements using the traditional word‐based eyetracking measures. Recent research has demonstrated the relevance of these patterns and has shown how they can be analyzed. In this review, we focus on reading, and present examples demonstrating how eye movement data reveal what events unfold when the parser runs into difficulty, and how the parsing system interacts with eye movement control.WIREs Cogn Sci2013, 4:125–134. doi: 10.1002/wcs.1209This article is categorized under:Linguistics > Computational Models of Language