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

doi:10.1007/978-3-031-33261-6_20

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

PUCE Santo Domingo

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión 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 original	Inglés
Título de la publicación alojada	Information Technology and Systems - ICITS 2023
Editores	Álvaro Rocha, Carlos Ferrás, Waldo Ibarra
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	223-240
Número de páginas	18
ISBN (versión impresa)	9783031332609
DOI	https://doi.org/10.1007/978-3-031-33261-6_20
Estado	Publicada - 2023
Evento	International Conference on Information Technology and Systems, ICITS 2023 - Cusco, Perú Duración: 24 abr. 2023 → 26 abr. 2023

Serie de la publicación

Nombre	Lecture Notes in Networks and Systems
Volumen	692 LNNS
ISSN (versión impresa)	2367-3370
ISSN (versión digital)	2367-3389

Conferencia

Conferencia	International Conference on Information Technology and Systems, ICITS 2023
País/Territorio	Perú
Ciudad	Cusco
Período	24/04/23 → 26/04/23

Nota bibliográfica

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

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10.1007/978-3-031-33261-6_20

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Barberán-Moreira, J., Mantuano-Casual, M., Ocampo-Pazos, W., Sabando-García, A., & Orozco-Iguasnia, F. (2023). Machine Learning for the Strengthening of Ecuadorian Sign Language Communication. En Á. Rocha, C. Ferrás, & W. Ibarra (Eds.), Information Technology and Systems - ICITS 2023 (pp. 223-240). (Lecture Notes in Networks and Systems; Vol. 692 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-33261-6_20

Barberán-Moreira, Jeneffer ; Mantuano-Casual, Miguel ; Ocampo-Pazos, Willian et al. / Machine Learning for the Strengthening of Ecuadorian Sign Language Communication. Information Technology and Systems - ICITS 2023. editor / Álvaro Rocha ; Carlos Ferrás ; Waldo Ibarra. Springer Science and Business Media Deutschland GmbH, 2023. pp. 223-240 (Lecture Notes in Networks and Systems).

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title = "Machine Learning for the Strengthening of Ecuadorian Sign Language Communication",

abstract = "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.",

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note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Information Technology and Systems, ICITS 2023 ; Conference date: 24-04-2023 Through 26-04-2023",

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Barberán-Moreira, J, Mantuano-Casual, M, Ocampo-Pazos, W , Sabando-García, A & Orozco-Iguasnia, F 2023, Machine Learning for the Strengthening of Ecuadorian Sign Language Communication. En Á Rocha, C Ferrás & W Ibarra (eds.), Information Technology and Systems - ICITS 2023. Lecture Notes in Networks and Systems, vol. 692 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 223-240, International Conference on Information Technology and Systems, ICITS 2023, Cusco, Perú, 24/04/23. https://doi.org/10.1007/978-3-031-33261-6_20

Machine Learning for the Strengthening of Ecuadorian Sign Language Communication. / Barberán-Moreira, Jeneffer; Mantuano-Casual, Miguel; Ocampo-Pazos, Willian et al.
Information Technology and Systems - ICITS 2023. ed. / Álvaro Rocha; Carlos Ferrás; Waldo Ibarra. Springer Science and Business Media Deutschland GmbH, 2023. p. 223-240 (Lecture Notes in Networks and Systems; Vol. 692 LNNS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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AB - 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.

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Barberán-Moreira J, Mantuano-Casual M, Ocampo-Pazos W , Sabando-García A, Orozco-Iguasnia F. Machine Learning for the Strengthening of Ecuadorian Sign Language Communication. En Rocha Á, Ferrás C, Ibarra W, editores, Information Technology and Systems - ICITS 2023. Springer Science and Business Media Deutschland GmbH. 2023. p. 223-240. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-33261-6_20

Machine Learning for the Strengthening of Ecuadorian Sign Language Communication

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