Language Translator Web Application

This project explores a language translation solution using AWS Translate, a robust, neural machine translation service provided by Amazon Web Services (AWS). Traditional translation methods often fall short in contextual accuracy, but cloud-based, deep learning powered services like AWS Translate address these limitations by generating translations that are both fluent and contextually appropriate. In this project, we integrate AWS Translate with a user friendly web application, built using Streamlit, allowing users to perform real-time translations across multiple languages. We evaluate translation accuracy and scalability within the AWS ecosystem, highlighting the benefits of cloud-based translation. Additionally, future plans include developing a mobile app for translation, making this tool accessible anytime, anywhere. Experimental results suggest that AWS Translate provides accurate translations across diverse language pairs, reinforcing the model’s applicability in various real world scenarios.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-11-19
DOI
https://doi.org/10.22214/ijraset.2024.65293
Primary Topic
Big Data and Digital Economy
Type
article
Field-Weighted Citation Impact
0.00
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article

Language Translator Web Application

P. Jagadishwar Reddy
International Journal for Research in Applied Science and Engineering Technology
Big Data and Digital Economy
article

Language Translator Web Application

P. Jagadishwar Reddy
article en

Abstract

This project explores a language translation solution using AWS Translate, a robust, neural machine translation service provided by Amazon Web Services (AWS). Traditional translation methods often fall short in contextual accuracy, but cloud-based, deep learning powered services like AWS Translate address these limitations by generating translations that are both fluent and contextually appropriate. In this project, we integrate AWS Translate with a user friendly web application, built using Streamlit, allowing users to perform real-time translations across multiple languages. We evaluate translation accuracy and scalability within the AWS ecosystem, highlighting the benefits of cloud-based translation. Additionally, future plans include developing a mobile app for translation, making this tool accessible anytime, anywhere. Experimental results suggest that AWS Translate provides accurate translations across diverse language pairs, reinforcing the model’s applicability in various real world scenarios.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(11)
Openalex Percentile: Top 68%
Big Data and Digital Economy
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