The Development and Testing of a Model for Converting American Sign Language (ASL) Sentences Using Natural Language Processing Techniques-Reference-Cited by-同舟云学术

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The Development and Testing of a Model for Converting American Sign Language (ASL) Sentences Using Natural Language Processing Techniques

Published:2024-03-29 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Cybernetics and Innovations (ICCI)
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Author:

Kaewprom Alongkorn¹,Suriyapattanapong Aritat²,Sanmano Smith³,Songmuang Pokpong⁴,Malakul Sivakorn⁵

Affiliation:

1. Suksanareewittaya School,Bangkok,Thailand

2. Streesmutprakan School,Bangkok,Thailand

3. Chitrala School,Bangkok,Thailand

4. Thammasat University,Department of Computer Science,Thailand

5. The Institute for the Promotion of Teaching Science and Technology,Bangkok,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532250/10532227/10532708.pdf?arnumber=10532708

Reference8 articles.

1. Annual report of the disabled people in Thailand

2. Deafness and hearing loss

3. Artificial Intelligence for Sign Language Translation – A Design Science Research Study

4. ASL-Transformer: A Deep Learning Model for American Sign Language Recognition;Yuan,2020

5. Home - Baby Sign Language

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