MODULE 2
Evaluation & Implementation of AI Technologies in the Translation Workflow
Not all content is equally suited to AI. This session shows you which content types, domains, and languages work best, and how to assess quality both automatically (BLEU, COMET, MQM) and through human review. We’ll also look at practical integration: how AI connects with translation memories and CAT tools, and how automation affects pricing and project structures. This is important as the translator must maintain the role of the trusted expert in their language and domain.
By the end, you’ll have a clear, practical understanding of how to select, evaluate, and implement AI solutions in professional language services.
You’ll gain a roadmap for choosing and implementing AI tools that fit your workflow, so you save time without sacrificing quality, or your income.
Your Competitive Edge
After This Module
1
Learn Which Content Benefits Most from AI
Not every translation project is suitable for AI, and using it in the wrong context can compromise quality. This module teaches you how to evaluate content types, domains, and languages to determine where AI will be most effective.
By understanding these nuances, you’ll be able to make informed decisions that enhance productivity while maintaining the linguistic precision and cultural accuracy your clients rely on.
2
Master Quality Assessment in AI-Enhanced Workflows
AI-generated content still requires careful evaluation. You’ll learn how to measure quality both automatically, using tools like BLEU, COMET, and MQM, and through human review. This dual approach ensures that your work meets the highest standards, demonstrating to clients that you remain the trusted expert even when AI is part of the workflow.
Mastering these assessment techniques protects your reputation and reinforces your professional value.
3
Integrate AI Seamlessly Without Compromising Income
AI tools can streamline workflows, but only if integrated thoughtfully. This course shows you how to connect AI with translation memories, CAT tools, and existing project structures.
By understanding the impact of automation on pricing and project organization, you’ll be able to implement AI in ways that save time, improve efficiency, and maintain your income. The module equips you with a practical roadmap to harness AI while keeping your expertise central to the process.
