Ciklopea Coffee Chat: Machine Translation Models for South Slavic Languages (Video)

In the fast-paced world of localization, maintaining the accuracy and quality of Translation Memories (TMs) is essential for ensuring seamless, consistent translations. As companies scale globally, the size of their TMs grows exponentially, which can lead to inconsistencies, outdated translations, and even redundant content. That’s where AI-powered TM Cleanup comes into play. This innovative solution combines the strengths of AI with prompt engineering, revolutionizing how organizations manage their TMs.

In the evolving landscape of artificial intelligence (AI) and machine learning (ML), the role of linguistic annotation has become more important than ever. As companies and developers work to build smarter systems, from chatbots to translation tools, the need for high-quality language data is paramount. But what exactly is linguistic annotation, and why is it so important?

In an increasingly globalised world, research and clinical trials often span multiple countries and cultures. This expansion necessitates the accurate translation of materials to ensure that all participants, regardless of their native language, can understand and respond appropriately. This is where linguistic validation comes into play.