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. 
• LLM postediting and MTQE combine to deliver top quality at controlled costs. 
• Optimization of terminology extraction tasks. 
• How LLMs support and enhance project instruction adherence and subsequent quality. 
• Enhanced creativity for marketing and transcreation.

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, cost-effective post-editing, improved project instruction adherence and enhanced creativity in marketing.
• Ethical Considerations: while prioritizing quality and interactions with AI.

Audience

• QA managers
• Localization managers
• Program managers