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Revista signos

versión On-line ISSN 0718-0934

Resumen

GOLDMAN, Susan; GOLDEN, Richard  y  VAN DEN BROEK, Paul. Why are computational models of text comprehension useful?. Rev. signos [online]. 2007, vol.40, n.65, pp.545-572. ISSN 0718-0934.  http://dx.doi.org/10.4067/S0718-09342007000300008.

Computational models have played an important role in unraveling and understanding the psychological complexity of text comprehension. They have done so for three major reasons. First, the process of transforming verbally described theories of text comprehension (conceptual theories) into computational models of text comprehension promotes the development and evolution of the conceptual theories by showing where the models accord with behavioral data and where they do not. Second, computational models can be applied to behavioral data to better understand and test alternative explanatory constructs, especially in cases where patterns of behavioral data are not as expected a priori. In such cases, researchers provide post-hoc explanations, many of which are quite reasonable. Computational models can provide a way to test or enact such explanations. Finally, and partly as a result of the frst two benefts, computational models promote communication among researchers within and across research areas. These claims are illustrated in specific examples of computational models

Palabras clave : Computational models; text comprehension.

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