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Decision algorithm for the automatic determination of the use of non-inclusive terms in academic texts

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Decision algorithm for the automatic determination of the use of non-inclusive terms in academic texts

Orgeira Crespo, Pedro; Míguez Álvarez, Carla María; Cuevas Alonso, Miguel; Doval Ruiz, María Isabel
 
DATE : 2020-08-06
UNIVERSAL IDENTIFIER : http://hdl.handle.net/11093/2399
UNESCO SUBJECT : 1203 Ciencia de Los Ordenadores ; 5701 Lingüística Aplicada ; 58 Pedagogía
DOCUMENT TYPE : article

ABSTRACT :

The use of inclusive language, among many other gender equality initiatives in society, has garnered great attention in recent years. Gender equality offices in universities and public administration cannot cope with the task of manually checking the use of non-inclusive language in the documentation that those institutions generate. In this research, an automated solution for the detection of non-inclusive uses of the Spanish language in doctoral theses generated in Spanish universities is introduced using machine learning techniques. A large dataset has been used to train, validate, and analyze the use of inclusive language; the result is an algorithm that detects, within any Spanish text document, non-inclusive uses of the language with error, false positive, and false negative ratios slightly over 10%, and precision, recall, and F-measure percentages over 86%. Results also show the evolution with time of the ratio of non-inclusive usages per document, having a pronounced reduction in the last years under study.

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