Cevasco JY, Barreyro JP, Bechis S, Molinari MC

Language: Spanish
References: 0
Page: 907-928
PDF size: 195.31 Kb.

ABSTRACT

The purpose of this article was to present the implementation of the 'Landscape' Computational Model in a Spanish natural text. The Landscape Model is a connectionist model that represents comprehension as a changing ‘landscape’ of activations of propositions along several reading cycles. The peaks and vallies of this landscape represent the relative contribution of each proposition at any given point in the story, and are the base for the construction of a mental representation for the story. Once the researcher sets the criteria for what inferences are generated during reading, the program calculates an on-line matrix and an off-line matrix. The latter establishes the node strength of each proposition, and the connection strength of each pair of propositions. Given that studies in text comprehension have tended to use artificial texts written in English as materials, our purpose was to describe the implementation of the Landscape Model in a Spanish natural text, in order to advocate for the relevance of this model to study the cognitive processes involved in the comprehension of texts that have not been created by the researchers.