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The measurement of textual coherence with latent semantic analysis

Foltz, Peter W., Kintsch, Walter, Landauer, Thomas K·1998·Discourse Processes

Abstract

Latent Semantic Analysis (LSA) is used as a technique for measuring the coherence of texts. By comparing the vectors for 2 adjoining segments of text in a high‐dimensional semantic space, the method provides a characterization of the degree of semantic relatedness between the segments. We illustrate the approach for predicting coherence through reanalyzing sets of texts from 2 studies that manipulated the coherence of texts and assessed readers’ comprehension. The results indicate that the method is able to predict the effect of text coherence on comprehension and is more effective than simple term‐term overlap measures. In this manner, LSA can be applied as an automated method that produces coherence predictions similar to propositional modeling. We describe additional studies investigating the application of LSA to analyzing discourse structure and examine the potential of LSA as a psychological model of coherence effects in text comprehension.

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Metadata

Authors
Foltz, P. W., Kintsch, W., & Landauer, T. K.
Venue
Discourse Processes
Published
1998-01
Volume
25
Issue
2-3
Pages
285-307
ISSN
  • 0163-853X (ISSN-L)
  • 1532-6950
OpenAlex
W2089150068
Cited by
749
References
3
FWCI
12.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The measurement of textual coherence with latent semantic analysis. https://app.cochat.ai/papers/10.1080/01638539809545029
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Foltz, P. W., Kintsch, W., & Landauer, T. K. (1998). The measurement of textual coherence with latent semantic analysis. Discourse Processes. https://doi.org/10.1080/01638539809545029

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