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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Information Technology and Systems - ICITS 2023
Editors	Álvaro Rocha, Carlos Ferrás, Waldo Ibarra
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	223-240
Number of pages	18
ISBN (Print)	9783031332609
DOIs	https://doi.org/10.1007/978-3-031-33261-6_20
State	Published - 2023
Event	International Conference on Information Technology and Systems, ICITS 2023 - Cusco, Peru Duration: 24 Apr 2023 → 26 Apr 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	692 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Information Technology and Systems, ICITS 2023
Country/Territory	Peru
City	Cusco
Period	24/04/23 → 26/04/23

Bibliographical note

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

Keywords

Ecuadorian sign language
Hearing disability
Machine learning
Predicate learning

Access to Document

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

Cite this

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. In 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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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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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. in 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, Peru, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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. In Rocha Á, Ferrás C, Ibarra W, editors, 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

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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