Slator - Language Industry News

Document translation has always been a complex challenge. Traditional methods depend heavily on Optical Character Recognition (OCR) systems followed by machine translation tools. While this approach works, it often struggles with formatting, layout preservation, and accuracy. Thanks to rapid advancements in Document AI translation , we are now seeing a shift toward end-to-end systems that handle OCR, layout, and translation in one streamlined process. This blog explores how researchers and industry leaders are breaking barriers in document image translation and why it matters for businesses, researchers, and global communication. What Is Document AI Translation? Document AI translation is a next-generation approach that goes beyond simple OCR and text conversion. Instead of breaking down the process into multiple steps, end-to-end AI models handle the entire translation workflow in a single system. This means: Faster translation with fewer errors Better preservation of do...

Highlights from SlatorCon Silicon Valley 2024 Slator- Language Industry Intelligence On September 5, 2024, more than 150 language industry and technology leaders gathered at Hotel Nia in Menlo Park, Silicon Valley . The event offered a friendly and relaxed environment, encouraging networking and reconnections among participants. Attendees from over a dozen countries and four continents emphasized the importance of in-person Slator events in addition to virtual ones. The expo hall was also buzzing with activity. Esther Bond , Head of Advisory at Slator, kicked off the event with a warm welcome, outlining the day's presentations and panels, and encouraging delegates to network and engage with each other. Key Takeaways from SlatorCon Silicon Valley 2024 Florian Faes , Managing Director of Slator, opened the sessions by presenting key insights from Slator’s latest research on the language industry's current state. He discussed practical applications of large language models (LLMs)...