The evolution of language technology has seen a transformative journey from Neural Machine Translation (NMT) to Large Language Models (LLMs). In essence, the journey from NMT to LLMs represents a paradigm shift - from specialized language tasks to comprehensive language understanding and generation, redefining how humans and machines interact with and through language.

In parallel, the evolution of post-editing, from its roots in improving Neural Machine Translation (NMT) to its current intersection with Large Language Models (LLMs), marks a significant shift in translation workflows. Originally conceived as a means of refining NMT-generated translations, post-editing has become more challenging with the advent of LLMs. As LLMs continue to refine their understanding of language nuance and context, post-editing is transforming into a collaborative process where human expertise guides AI-generated translations. This journey underscores the fusion of human skill and AI innovation that is shaping a new era of language translation. How do you safely open the door to MTPE when AI comes knocking? Join us for MTPE outside the box!

Audience

• QA managers
• Localization managers
• MTPE Experts

Takeaways

• Get insight into the transition from NMT to LLMs
• Get insight into the impact of LLMs on MTPE and ethical challenges
• Think outside the box with best MTPE practices for LLMs incorporation

Host organization: Ionian University