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ETAT: Expository Text Analysis Tool.

Authors :
Vidal-Abarca E
Reyes H
Gilabert R
Calpe J
Soria E
Graesser AC
Source :
Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc [Behav Res Methods Instrum Comput] 2002 Feb; Vol. 34 (1), pp. 93-107.
Publication Year :
2002

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 as conceptual 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.

Details

Language :
English
ISSN :
0743-3808
Volume :
34
Issue :
1
Database :
MEDLINE
Journal :
Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc
Publication Type :
Academic Journal
Accession number :
12060996
Full Text :
https://doi.org/10.3758/bf03195428