Computational Analyses of Multilevel Discourse Comprehension

被引:160
|
作者
Graesser, Arthur C. [1 ]
McNamara, Danielle S. [1 ]
机构
[1] Univ Memphis, Dept Psychol, Memphis, TN 38152 USA
基金
美国国家科学基金会;
关键词
Discourse processes; Text comprehension; Coherence; Cohesion; Semantics; Computational linguistics; LATENT SEMANTIC ANALYSIS; INDIVIDUAL-DIFFERENCES; TEXT COMPREHENSION; SITUATION MODEL; PRIOR KNOWLEDGE; COHERENCE; MEMORY; COHESION; INFORMATION; ACQUISITION;
D O I
10.1111/j.1756-8765.2010.01081.x
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
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.
引用
收藏
页码:371 / 398
页数:28
相关论文
共 50 条
  • [31] Context and topic marking affect distinct processes during discourse comprehension in Japanese
    Hirotani, Masako
    Schumacher, Petra B.
    JOURNAL OF NEUROLINGUISTICS, 2011, 24 (03) : 276 - 292
  • [32] Contributions of Causality Processing Models to the Study of Discourse Comprehension and the Facilitation of Student Learning
    Cevasco, Jazmin
    van den Broek, Paul
    PSICOLOGIA EDUCATIVA, 2019, 25 (02): : 159 - 167
  • [33] Effects of Information Status and Uniqueness Status on Referent Management in Discourse Comprehension and Planning
    Brocher, Andreas
    Chiriacescu, Sofiana Iulia
    von Heusinger, Klaus
    DISCOURSE PROCESSES, 2018, 55 (04) : 346 - 370
  • [34] How Children Process Reduced Forms: A Computational Cognitive Modeling Approach to Pronoun Processing in Discourse
    Vogelzang, Margreet
    Guasti, Maria Teresa
    vanRijn, Hedderik
    Hendriks, Petra
    COGNITIVE SCIENCE, 2021, 45 (04)
  • [35] How to do things with (thousands of) words: Computational approaches to discourse analysis in Alzheimer's disease
    Clarke, Natasha
    Foltz, Peter
    Garrard, Peter
    CORTEX, 2020, 129 : 446 - 463
  • [36] What's so simple about simplified texts? A computational and psycholinguistic investigation of text comprehension and text processing
    Crossley, Scott A.
    Yang, Hae Sung
    McNamara, Danielle S.
    READING IN A FOREIGN LANGUAGE, 2014, 26 (01): : 92 - 113
  • [37] Mood-dependent integration in discourse comprehension: Happy and sad moods affect consistency processing via different brain networks
    Egidi, Giovanna
    Caramazza, Alfonso
    NEUROIMAGE, 2014, 103 : 20 - 32
  • [38] How context features modulate the involvement of the working memory system during discourse comprehension
    Yang, Xiaohong
    Zhang, Xiuping
    Yang, Yufang
    Lin, Nan
    NEUROPSYCHOLOGIA, 2018, 111 : 36 - 44
  • [39] Narrative Discourse in Young and Older Adults: Behavioral and NIRS Analyses
    Martin, Charles-Olivier
    Pontbriand-Drolet, Stephanie
    Daoust, Valerie
    Yamga, Eric
    Amiri, Mahnoush
    Hubner, Lilian C.
    Ska, Bernadette
    FRONTIERS IN AGING NEUROSCIENCE, 2018, 10
  • [40] Effects of contrastive accents on children’s discourse comprehension
    Eun-Kyung Lee
    Jesse Snedeker
    Psychonomic Bulletin & Review, 2016, 23 : 1589 - 1595