This discussion will talk about whether you can in fact manage brand voice and terminology with generative AI and machine translation (MT) and how.
We’ll address questions like:
- How is MT and AI learning tone and voice?
- When is it appropriate to use AI to manage voice and tone?
- Should the mix of MT, MTPE, and human translation be split equally?
Join us to discuss this and more with industry experts. Q&A will follow.
Featured Speakers
Olga Beregovaya
VP, AI & Machine TranslationSmartling
Olga has over 20 years of experience in Language Technology, NLP, Machine Learning, Global Content Transformation and AI Data development and is passionate about growing businesses through driving change and innovation. Olga started her career in language technology building lexicons and rules for Rule-based machine translation, gradually expanding her expertise into other broader applications of NLP and Machine Learning to enterprise translation workflows. Olga has also served as President of AMTA, currently serves as a Vice President and Technology Program Sponsor for Women in Localization and as an Advisor for Engineering Leadership at California State University, Chico. Olga received her MA, Linguistics/Germanic Studies at UC- Berkeley and MA/BA in Linguistics from St. Petersburg State University.
Jennifer Wong
Head of AI Product StrategySmartling
Watch On-Demand
Reality Series: ep3 - GPT and Large Language Models
Reality Series: ep2 - Machine translation quality estimation
