ETAT: Expository Text Analysis Tool |
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| Authors: | Eduardo Vidal-Abarca Héctor Reyes Ramiro Gilabert Javier Calpe Emilio Soria Arthur C Graesser |
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| Institution: | (1) National Chung Cheng University, Chia-Yi, Taiwan;(2) National Kaohsiung Normal University, Kaohsiung, Taiwan;(3) Department of Educational Psychology, University of Minnesota, 178 Pillsbury Drive SE, 55455 Minneapolis, MN; |
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| Abstract: | Qualitative methods that analyze the coherence of expository texts not only are time consuming, but also present challenges
in collecting data on coding reliability. We describe software that analyzes expository texts more rapidly and produces a
notable level of objectivity ETAT (Expository Text Analysis Tool) analyzes the coherence of expository texts. ETAT adopts
a symbolic representational system, known asconceptual graph structures. ETAT follows three steps: segmentation of a text into nodes, classification of the unidentified nodes, and linking the nodes
with relational arcs. ETAT automatically constructs a graph in the form of nodes and their interrelationships, along with
various attendant statistics and information about noninterrelated, isolated nodes. ETAT was developed in Java, so it is compatible
with virtually all computer systems. |
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