Machine Learning for the Strengthening of Ecuadorian Sign Language Communication

Jeneffer Barberán-Moreira, Miguel Mantuano-Casual, Willian Ocampo-Pazos, Angel Sabando-García, Fausto Orozco-Iguasnia

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

Currently, communication between students with hearing disabilities and other actors that make up an educational establishment, has a gap despite the existence of technological resources. The objective of the study is to provide a comprehensive vision on machine learning to strengthen the communication of Ecuadorian sign languages ​​within a career. This study presents an investigation how machine learning through the Predicate Learning algorithm can be applied to relate a word introduced in a chat, send the corresponding pictogram in Ecuadorian sign language instead of the word, this way bridges the gap in communication between listeners and people with educational disabilities. The results show that machine learning significantly influences Ecuadorian Sign Language communication.

Idioma originalInglés
Título de la publicación alojadaInformation Technology and Systems - ICITS 2023
EditoresÁlvaro Rocha, Carlos Ferrás, Waldo Ibarra
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas223-240
Número de páginas18
ISBN (versión impresa)9783031332609
DOI
EstadoPublicada - 2023
EventoInternational Conference on Information Technology and Systems, ICITS 2023 - Cusco, Perú
Duración: 24 abr. 202326 abr. 2023

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen692 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Conference on Information Technology and Systems, ICITS 2023
País/TerritorioPerú
CiudadCusco
Período24/04/2326/04/23

Nota bibliográfica

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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