How machine learning transforms TM from knowledge to context and how this impacts the role of the translator

The webinar "How machine learning transforms TM from knowledge to context and how this impacts the role of the translator" has been rescheduled due to technical issues. Please accept our apologies for the last-minute notice. We will announce the new date a little later

Your training registration has been transferred to the new date automatically.

Please accept our deepest apologies for any inconvenience this could cause.

In an age where technology is rapidly reshaping industries, the field of translation is no exception. This workshop will aid in comprehending fundamental machine learning principles and how generative AI can empower a translator to evolve into a Language Flow Architect.

In this course, we will explore how the translation memory and term base paradigms have worked over the past forty years and how they are fundamentally changing with the advent of Generative Artificial Intelligence and Large Language Models. We will cover basic machine learning fundamentals such as Zero Shot vs. Few Shot learning and how they apply to translation as well as how we will have a critical role in the next few years that will determine whether translators will be relegated to insignificance or gain even more strategic value.