Guidance for Machine Translation Pipelines Using Generative AI on AWS
Overview
This Guidance shows how to improve your content localization processes using foundation models. It provides a blueprint for building modern localization capabilities, addressing both real-time and batch translation needs. The Guidance combines established localization practices, such as translation memory management, with newer approaches, such as automated quality prediction and evaluation. Implementing these techniques can help you reduce costs and speed up your time-to-market for localized content. As a result, you'll be able to enhance your global communication efforts and maintain quality content that resonates across different markets and languages.
Benefits
Accelerate multilingual content delivery
Deploy an automated translation pipeline that combines foundation models with quality assessment, reducing manual review cycles. Enable faster time-to-market while maintaining translation quality standards.
Optimize translation quality and costs
Leverage AI-powered quality scoring and assessment to identify which content needs human review. Reduce costly manual reviews while ensuring consistent translation quality across all content.
Enhance operational efficiency securely
Implement a fully managed translation workflow with built-in security controls and automated orchestration. Focus on content strategy while AWS handles infrastructure management and security.
How it works
These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.
Deploy with confidence
Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs.
Disclaimer
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.
References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.
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