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Computational Analyses of Multilevel Discourse Comprehension

机译:多层次话语理解的计算分析

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The proposed multilevel framework of discourse comprehension includes the surface code, the textbase, the situation model, the genre and rhetorical structure, and the pragmatic communication level. We describe these five levels when comprehension succeeds and also when there are communication misalignments and comprehension breakdowns. A computer tool has been developed, called Coh-Metrix, that scales discourse (oral or print) on dozens of measures associated with the first four discourse levels. The measurement of these levels with an automated tool helps researchers track and better understand multilevel discourse comprehension. Two sets of analyses illustrate the utility of Coh-Metrix in discourse theory and educational practice. First, Coh-Metrix was used to measure the cohesion of the text base and situation model, as well as potential extraneous variables, in a sample of published studies that manipulated text cohesion. This analysis helped us better understand what was precisely manipulated in these studies and the implications for discourse comprehension mechanisms. Second, Coh-Metrix analyses are reported for samples of narrative and science texts in order to advance the argument that traditional text difficulty measures are limited because they fail to accommodate most of the levels of the multilevel discourse comprehension framework.
机译:所提出的话语理解的多层次框架包括表面代码,文本库,情境模型,体裁和修辞结构以及语用交流水平。我们将在理解成功时以及在沟通失调和理解崩溃时描述这五个级别。已经开发了一种称为Coh-Metrix的计算机工具,该工具可以根据与前四个话语级别相关的数十种度量来对话语(口头或打印)进行缩放。使用自动化工具对这些水平进行测量有助于研究人员跟踪和更好地理解多层次话语理解。两组分析说明了Coh-Metrix在话语理论和教育实践中的作用。首先,在已发表的操纵文本内聚的研究样本中,使用Coh-Metrix来测量文本库和情境模型的内聚力以及潜在的无关变量。这种分析有助于我们更好地理解这些研究中精确操纵的内容以及对话语理解机制的影响。其次,报道了叙事和科学文本样本的Coh-Metrix分析,以提出这样的论点,即传统的文本难度度量是有限的,因为它们不能适应多级话语理解框架的大多数层次。

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