The 'Good Enough' Approach to Language Comprehension

The 'Good Enough' Approach to Language Comprehension
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DOI:
10.1111/j.1749-818x.2007.00007.x
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发表时间:
2007-03-01
影响因子:
2.5
通讯作者:
Patson, Nikole D.
Patson, Nikole D.
中科院分区:
其他
文献类型:
--
作者:
Ferreira, Fernanda;Patson, Nikole D.

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Ferreira及其同事认为,语言理解系统创建的句法和语义表示仅仅是“足够好”(GE)的理解者需要执行的任务。通用电气表示与那些详细,完整和准确的输入相反。在这篇文章中,我们回顾了GE处理的原始论点,我们提出了支持这一概念的新证据:第一,局部解释是计算的,这可能会干扰全局解释;第二,基于事件相关电位记录的新发现表明,使用简单的推理算法而不是组合算法来构建句子意义;最近的研究表明,理解系统有处理不流利的机制,但它们的工作并不完美。我们认为,通用电气公司的语言理解的方法是类似于使用快速和节俭的决策,未来的研究应该更彻底地探讨这种联系。
Ferreira and colleagues argued that the language comprehension system creates syntactic and semantic representations that are merely 'good enough' (GE) given the task that the comprehender needs to perform. GE representations contrast with ones that are detailed, complete, and accurate with respect to the input. In this article, we review the original argument for GE processing, and we present new evidence that supports the concept: first, local interpretations are computed, which can interfere with global ones; second, new findings based on the recording of event-related potentials show the use of simple heuristics rather than compositional algorithms for constructing sentence meaning; and recent studies show that the comprehension system has mechanisms for handling disfluencies, but they work imperfectly. We argue that the GE approach to language comprehension is similar to the use of fast and frugal heuristics for decision-making, and that future research should explore this connection more thoroughly.