Unlocking Synergy: The Collaborative Power of LLMs and Human Translators in Localization
In the age of AI, Large Language Models provide sophisticated natural language processing abilities. This can help assessing translations against top-tier text and Neural Machine Translation (NMT), providing enhanced alternatives for more optimized language services. Human translators can concentrate on delivering high-quality work and generate cohesive, context-aware, and goal-oriented texts within transcreation and post-editing workflows.
At Centific, we are actively investigating these possibilities by ensuring quality and ethical interactions with AI and Large Language Models.
Discover how collaboration between LLMs and human translators enables the best of both worlds:
• Our findings on LLM based MTQE and its powerful quality monitoring capabilities.
• Optimization of terminology extraction tasks
• How LLMs support and enhance project instruction adherence and subsequent quality
• Boosted source content analysis
Takeaways
- The Power of AI in Localization: Large Language Models (LLMs) offer advanced natural language processing capabilities, to enhance translation quality and provide optimized services.
- Effective Collaboration: Collaboration between LLMs and human translators seen through LLM-based quality evaluation, optimized term mining, improved project instruction adherence and enhanced source content analysis.
- Evolving role of linguists: job evolution from traditional translators to language SME
Audience
- Product owners
- Localization managers
- Program managers
- QA managers
Host organization: Centific Global Solutions
Event Speakers
Selvaggia Cerquetti
With a rich background in Translation Studies and a diverse European educational journey, I've established a proven track record across various linguistic roles. From excelling as an Italian Language Specialist to leading the Global Language department, my expertise extends to team management and multicultural leadership.
As a proactive and tech-passionate professional, I seamlessly transitioned into the role of Language Quality Manager, overseeing large-scale localization and AI projects (250+ language combinations, 10M+ words/year). My responsibilities included building quality business strategies and implementing QA workflows through leading-edge solutions.
In my current role as Language AI Resource Manager, I actively support the R&D, Production, and Quality departments in exploring innovative applications of Generative AI and Large Language Models. This endeavor contributes to the innovation and optimization of processes for our industry-leading customers, ensuring efficiency with a responsible and ethical AI deployment.
I am genuinely excited about the transformative potential the AI revolution holds for the future and I take pride in actively contributing to its pioneering advancements.