Offline Language Translator: Breaking Communication Barriers Anywhere


Authors : Navya D; Nimitha V R

Volume/Issue : Volume 9 - 2024, Issue 12 - December

Google Scholar : https://tinyurl.com/sv2ejwuf

Scribd : https://tinyurl.com/2v3hk5er

DOI : https://doi.org/10.5281/zenodo.14558069

Abstract : Language barriers remain a challenge in our connected world. This project aims to develop an offline translation tool for seamless communication without internet access. Using localized language data, pre- trained machine learning models, and natural language processing, the app offers bidirectional translation of common phrases in multiple languages. Lightweight and user-friendly, it embeds translation algorithms directly onto devices, ensuring privacy and security. Ideal for travel, education, emergencies, and fostering inclusion, this tool promotes reliable communication and global connectivity.

Keywords : Translation, Offline, App, Technology.

References :

  1. Zhao, L., & Wang, X. (2024). A Preliminary Study on Exploring the Use of Translation Apps and Their Impact on English Learning Strategies. Proceedings of the 2024 IEEE 4th International Conference on Electronic Communications, Internet of Things, and Big Data. IEEE.
  2. Piwowar, H. (2024). The State of AI in Literary Translation. Journal of Literary Translation Studies.J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68–73.
  3. Wang, L., & Zhao, C. (2024). The Impact of Artificial Intelligence on Language Translation: A Review. Journal of Machine Translation and AI Research.
  4. Tuite, T. (2024). Translation Companies Accelerating Adoption of Large Language Models. Journal of Translation Technologies.
  5. Hu, J., & Li, Y. (2023). The Impact of Translation Apps on Translation Students’ Performance. Journal of Educational Technology and Translation Studies, 15(3), 234-245.
  6. Shubha, R. S., & Krithika, S. M. (2023). Survey and Analysis on Language Translator Using Neural Machine Translation. Journal of Computational Linguistics, 31(2), 150-161.
  7. SDL Trados. (2023). Translation Technology Insights 2023. Inbox Translation and Institute of Translation and Interpreting (ITI) Survey Report.
  8. Yeger-Lotem, S. D. T., McKinley, M. D., & Xue, N. (2022). Survey of Low-Resource Machine Translation. Machine Translation Research Review, 29(4), 58-71.
  9. Zhao, L., & Wang, X. (2023). The Impact of Translation Apps on Translation Students' Performance. Journal of Translation Education, 14(1), 103-112.

Language barriers remain a challenge in our connected world. This project aims to develop an offline translation tool for seamless communication without internet access. Using localized language data, pre- trained machine learning models, and natural language processing, the app offers bidirectional translation of common phrases in multiple languages. Lightweight and user-friendly, it embeds translation algorithms directly onto devices, ensuring privacy and security. Ideal for travel, education, emergencies, and fostering inclusion, this tool promotes reliable communication and global connectivity.

Keywords : Translation, Offline, App, Technology.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe