Computational analyses of multilevel discourse comprehension

Graesser, Arthur C.; McNamara, Danielle S.

doi:10.1111/j.1756-8765.2010.01081.x

Cited by 325Text Readability and SimplificationReading and Literacy DevelopmentLinguistics and Discourse Analysis

Computational analyses of multilevel discourse comprehension

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Graesser, Arthur C., McNamara, Danielle S.·2011·Topics in Cognitive Science

DOI 10.1111/j.1756-8765.2010.01081.x

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Abstract

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.

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Authors: Graesser, A. C., & McNamara, D. S.
Affiliations: University of Memphis (US)
Corresponding author: Graesser, Arthur C.
ORCID: Graesser, Arthur C.
McNamara, Danielle S.
Venue: Topics in Cognitive Science
Publisher: Wiley
Published: 2011-04
Volume: 3
Issue: 2
Pages: 371-398
ISSN: 1756-8757 (ISSN-L)
1756-8765
DOI: 10.1111/j.1756-8765.2010.01081.x
OpenAlex: W2087016971
Cited by: 325
References: 115
Citations by year: 2026: 8 · 2025: 13 · 2024: 13 · 2023: 24 · 2022: 46 · 2021: 27 · 2020: 22 · 2019: 22 · 2018: 17 · 2017: 13 · 2016: 23 · 2015: 28 · 2014: 27 · 2013: 18 · 2012: 15
FWCI: 3.02
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor, 5 d)
Locations: Topics in Cognitive Science (publishedVersion)
PubMed (publishedVersion)
Funders: National Science Foundation (0904909, DRK12, 0918409, 0834847, 0325428)
U.S. Department of Defense (H9C104-07-0014)
Institute of Education Sciences (R305G020018, R305A080594, R305B070349, R305A080589, R305H050169)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Text Readability and Simplification
Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
Social Sciences › Arts and Humanities › Philosophy › Linguistics and Discourse Analysis
Keywords: Coh-Metrix, textual cohesion, situation model, textbase, pragmatic communication, narrative texts, scientific texts
MeSH terms: Artificial Intelligence, Cognition, Humans, Linguistics, Reading, Semantics, User-Computer Interface, Comprehension

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