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Related Experiment Videos

Using temporal cohesion to predict temporal coherence in narrative and expository texts.

Nicholas D Duran1, Philip M McCarthy, Art C Graesser

  • 1Department of Psychology, University of Memphis, Memphis, Tennessee 38152, USA. nduran@mail.psyc.memphis.edu

Behavior Research Methods
|August 19, 2007
PubMed
Summary
This summary is machine-generated.

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This study reveals that specific linguistic features of temporal cohesion accurately predict text coherence. Computational analysis of temporal cohesion also effectively differentiates between science, history, and narrative genres.

Area of Science:

  • Computational Linguistics
  • Text Analysis
  • Cognitive Science

Background:

  • Temporal cohesion is crucial for understanding text coherence.
  • Existing methods for assessing temporal coherence are limited.
  • Linguistic features offer a quantifiable approach to analyzing temporal aspects of text.

Purpose of the Study:

  • To identify linguistic features that distinguish variations in temporal coherence.
  • To assess the ability of a computational tool (Coh-Metrix) to predict human ratings of temporal coherence.
  • To explore the role of temporal cohesion in differentiating text genres.

Main Methods:

  • Analysis of 150 texts with human expert ratings on temporal coherence.
  • Utilizing Coh-Metrix, a computational tool, to identify five key features of temporal cohesion.

Related Experiment Videos

  • Applying discriminant function analysis with Coh-Metrix temporal indices to classify text genres.

    • Main Results:

    • Coh-Metrix accurately predicted human ratings of temporal coherence with statistically significant correlations.
    • Five specific features of temporal cohesion were identified as strong predictors.
    • Temporal cohesion indices successfully distinguished between science, history, and narrative texts.

    Conclusions:

    • Linguistic analysis of temporal cohesion provides a reliable method for assessing text coherence.
    • Computational tools can effectively measure and predict temporal coherence.
    • History and narrative texts exhibit similar patterns of temporal cohesion, differing from science texts.