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DOI: 10.14569/IJACSA.2020.0110168
PDF

Translator System for Peruvian Sign Language Texts through 3D Virtual Assistant

Author 1: Gleny Paola Gamarra Ramos
Author 2: María Elisabeth Farfán Choquehuanca

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 1, 2020.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: The population with hearing impairment in Peru is a community that doesn’t receive the necessary support from the government, nor does it have the necessary resources for the inclusion of its members as active persons in this society. Few initiatives have been launched to achieve this goal and for this reason we will create a resource that will give the deaf community to have greater access to textual information of the listener-speaking community. Our goal is to build a tool that translates general texts and also academic content such as encyclopedias into Peruvian sign language which will be represented by a 3D avatar. This translation will feature different lexical-syntactic processing modules as well as the disambiguation of terms using a small lexicon, similar to Wordnet synsets. The project is developed in collaboration with the deaf community.

Keywords: Peruvian sign language; Lexical-Syntactic Analysis; Avatar 3D

Gleny Paola Gamarra Ramos and María Elisabeth Farfán Choquehuanca, “Translator System for Peruvian Sign Language Texts through 3D Virtual Assistant” International Journal of Advanced Computer Science and Applications(IJACSA), 11(1), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110168

@article{Ramos2020,
title = {Translator System for Peruvian Sign Language Texts through 3D Virtual Assistant},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110168},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110168},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {1},
author = {Gleny Paola Gamarra Ramos and María Elisabeth Farfán Choquehuanca}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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