RT Journal Article
T1 Decision algorithm for the automatic determination of the use of non-inclusive terms in academic texts
A1 Orgeira Crespo, Pedro
A1 Míguez Álvarez, Carla María
A1 Cuevas Alonso, Miguel
A1 Doval Ruiz, María Isabel
K1 1203 Ciencia de Los Ordenadores
K1 5701 Lingüística Aplicada
K1 58 Pedagogía
AB 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.
PB Publications
SN 23046775
YR 2020
FD 2020-08-06
LK http://hdl.handle.net/11093/2399
UL http://hdl.handle.net/11093/2399
LA eng
NO Publications, 8(3): 41 (2020)
NO Xunta de Galicia | Ref. ED431C 2017/50
DS Investigo
RD 11-dic-2024