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

Spatial Data Infrastructure Research Group Artificial Intelligence Geoportals and Applied Computing (IDE IA GEO CA)

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

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.

Original language	English
Title of host publication	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
Editors	Tareq Ahram
Publisher	Springer
Pages	369-376
Number of pages	8
ISBN (Print)	9783030513276
DOIs	https://doi.org/10.1007/978-3-030-51328-3_51
State	Published - 2021
Event	AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020 - San Diego, United States Duration: 16 Jul 2020 → 20 Jul 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1213 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020
Country/Territory	United States
City	San Diego
Period	16/07/20 → 20/07/20

Bibliographical note

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.

Keywords

Automata theory
Hearing disability
Lexical analysis
Regular expressions

Access to Document

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

Cite this

Guerra, J., Vallejo-Huanga, D., Jaramillo, N., Macas, R., & Díaz, D. (2021). Nondeterministic Finite Automata for Modeling an Ecuadorian Sign Language Interpreter. In 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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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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Guerra, J, Vallejo-Huanga, D, Jaramillo, N, Macas, R & Díaz, D 2021, Nondeterministic Finite Automata for Modeling an Ecuadorian Sign Language Interpreter. in 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, United States, 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).

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

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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. In 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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