Nondeterministic Finite Automata for Modeling an Ecuadorian Sign Language Interpreter

Jose Guerra; Diego Vallejo-Huanga; Nathaly Jaramillo; Richard Macas; Daniel Díaz

doi:10.1007/978-3-030-51328-3_51

Nondeterministic Finite Automata for Modeling an Ecuadorian Sign Language Interpreter

Jose Guerra, Diego Vallejo-Huanga, Nathaly Jaramillo, Richard Macas, Daniel Díaz

Grupo de Investigación Infraestructura de Datos Espaciales Inteligencia Artificial Geoportales y Computación Aplicada (IDE IA GEO CA)

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

Resumen

This paper presents a stand-alone application for text interpretation to Ecuadorian Sign Language (LSEC), modeled by a nondeterministic finite automaton (NFA), lexical analysis and regular expressions. This application will allow you to interpret a text entered by a user and present it through GIF graphic resources, thus allowing you to establish unidirectional communication between a hearing person and a person with hearing impairment. Our application is developed under MVC architecture. The state machine and lexical analyzer are in the model layer, which will be handled by the controller layer and that will allow the user to receive the inputs and send the outputs through the view layer. We evaluate the effectiveness of the tool using an LSEC dictionary with a total of 275 words and idioms, for different users with hearing impairment, and the results showed that our application is robust and fast.

Idioma original	Inglés
Título de la publicación alojada	Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing
Editores	Tareq Ahram
Editorial	Springer
Páginas	369-376
Número de páginas	8
ISBN (versión impresa)	9783030513276
DOI	https://doi.org/10.1007/978-3-030-51328-3_51
Estado	Publicada - 2021
Evento	AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020 - San Diego, Estados Unidos Duración: 16 jul. 2020 → 20 jul. 2020

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1213 AISC
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conferencia

Conferencia	AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020
País/Territorio	Estados Unidos
Ciudad	San Diego
Período	16/07/20 → 20/07/20

Nota bibliográfica

Funding Information:
This work was supported by IDEIAGEOCA Research Group of Universidad Polit?cnica Salesiana in Quito, Ecuador.

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

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10.1007/978-3-030-51328-3_51

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Guerra, J., Vallejo-Huanga, D., Jaramillo, N., Macas, R., & Díaz, D. (2021). Nondeterministic Finite Automata for Modeling an Ecuadorian Sign Language Interpreter. En T. Ahram (Ed.), Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing (pp. 369-376). (Advances in Intelligent Systems and Computing; Vol. 1213 AISC). Springer. https://doi.org/10.1007/978-3-030-51328-3_51

Guerra, Jose ; Vallejo-Huanga, Diego ; Jaramillo, Nathaly et al. / Nondeterministic Finite Automata for Modeling an Ecuadorian Sign Language Interpreter. Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing. editor / Tareq Ahram. Springer, 2021. pp. 369-376 (Advances in Intelligent Systems and Computing).

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title = "Nondeterministic Finite Automata for Modeling an Ecuadorian Sign Language Interpreter",

abstract = "This paper presents a stand-alone application for text interpretation to Ecuadorian Sign Language (LSEC), modeled by a nondeterministic finite automaton (NFA), lexical analysis and regular expressions. This application will allow you to interpret a text entered by a user and present it through GIF graphic resources, thus allowing you to establish unidirectional communication between a hearing person and a person with hearing impairment. Our application is developed under MVC architecture. The state machine and lexical analyzer are in the model layer, which will be handled by the controller layer and that will allow the user to receive the inputs and send the outputs through the view layer. We evaluate the effectiveness of the tool using an LSEC dictionary with a total of 275 words and idioms, for different users with hearing impairment, and the results showed that our application is robust and fast.",

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note = "Funding Information: This work was supported by IDEIAGEOCA Research Group of Universidad Polit?cnica Salesiana in Quito, Ecuador. Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020 ; Conference date: 16-07-2020 Through 20-07-2020",

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Guerra, J, Vallejo-Huanga, D, Jaramillo, N, Macas, R & Díaz, D 2021, Nondeterministic Finite Automata for Modeling an Ecuadorian Sign Language Interpreter. En T Ahram (ed.), Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing. Advances in Intelligent Systems and Computing, vol. 1213 AISC, Springer, pp. 369-376, AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020, San Diego, Estados Unidos, 16/07/20. https://doi.org/10.1007/978-3-030-51328-3_51

Nondeterministic Finite Automata for Modeling an Ecuadorian Sign Language Interpreter. / Guerra, Jose; Vallejo-Huanga, Diego; Jaramillo, Nathaly et al.
Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing. ed. / Tareq Ahram. Springer, 2021. p. 369-376 (Advances in Intelligent Systems and Computing; Vol. 1213 AISC).

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

TY - GEN

T1 - Nondeterministic Finite Automata for Modeling an Ecuadorian Sign Language Interpreter

AU - Guerra, Jose

AU - Vallejo-Huanga, Diego

AU - Jaramillo, Nathaly

AU - Macas, Richard

AU - Díaz, Daniel

N1 - Funding Information: This work was supported by IDEIAGEOCA Research Group of Universidad Polit?cnica Salesiana in Quito, Ecuador. Publisher Copyright: © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2021

Y1 - 2021

N2 - This paper presents a stand-alone application for text interpretation to Ecuadorian Sign Language (LSEC), modeled by a nondeterministic finite automaton (NFA), lexical analysis and regular expressions. This application will allow you to interpret a text entered by a user and present it through GIF graphic resources, thus allowing you to establish unidirectional communication between a hearing person and a person with hearing impairment. Our application is developed under MVC architecture. The state machine and lexical analyzer are in the model layer, which will be handled by the controller layer and that will allow the user to receive the inputs and send the outputs through the view layer. We evaluate the effectiveness of the tool using an LSEC dictionary with a total of 275 words and idioms, for different users with hearing impairment, and the results showed that our application is robust and fast.

AB - This paper presents a stand-alone application for text interpretation to Ecuadorian Sign Language (LSEC), modeled by a nondeterministic finite automaton (NFA), lexical analysis and regular expressions. This application will allow you to interpret a text entered by a user and present it through GIF graphic resources, thus allowing you to establish unidirectional communication between a hearing person and a person with hearing impairment. Our application is developed under MVC architecture. The state machine and lexical analyzer are in the model layer, which will be handled by the controller layer and that will allow the user to receive the inputs and send the outputs through the view layer. We evaluate the effectiveness of the tool using an LSEC dictionary with a total of 275 words and idioms, for different users with hearing impairment, and the results showed that our application is robust and fast.

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Guerra J, Vallejo-Huanga D, Jaramillo N, Macas R, Díaz D. Nondeterministic Finite Automata for Modeling an Ecuadorian Sign Language Interpreter. En Ahram T, editor, Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing. Springer. 2021. p. 369-376. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51328-3_51

Nondeterministic Finite Automata for Modeling an Ecuadorian Sign Language Interpreter

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