Machine Translation and Automated Post-Editing MTQE-APE

🤖 𝗠𝗮𝘀𝘁𝗲𝗿 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝘁𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗶𝗼𝗻 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀! As modern #localization pipelines adopt #MachineTranslation and #AITranslation at scale, #QualityControl 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹. Learn how to blend 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗼𝗻 and 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗰𝗼𝗿𝗿𝗲𝗰𝘁𝗶𝗼𝗻𝘀 to build reliable, no-touch MT systems that save time while maintaining quality.

🎯 What you’ll learn:
🧠 How 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗧𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗶𝗼𝗻 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗘𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗼𝗻 (𝗠𝗧𝗤𝗘) works to predict and score output confidence
⚙️ What 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗣𝗼𝘀𝘁-𝗘𝗱𝗶𝘁𝗶𝗻𝗴 (𝗔𝗣𝗘) is and how it fixes linguistic errors before human review
📊 How hybrid 𝗠𝗧 + 𝗟𝗟𝗠 systems create robust quality gates for scalable pipelines
🔍 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝘁𝗼 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰𝗮𝗹𝗹𝘆 𝗺𝗼𝗻𝗶𝘁𝗼𝗿 𝗠𝗧 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 and reduce human dependency
🛠 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲: 𝗯𝘂𝗶𝗹𝗱 𝗮𝗻𝗱 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗲 𝗮𝗻 𝗠𝗧𝗤𝗘-𝗔𝗣𝗘 workflow using OpenAI Agent Builder

👨‍🏫 Tutor: Andrés Romero Arcas, Language Technology Expert at Acolad, specializing in MT, LLM workflows, MTQE and automated translation quality solutions.
📅 09–10 February 2026 - 18:00 CET (4 hours)

Whether you’re a 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗿, 𝗹𝗼𝗰𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 or 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹, this course gives you practical, operational skills to implement automated quality control in real translation workflows.