EPIC
OVERVIEW
What is EPIC?
The platform in a nutshell
Choosing a QE Model
Match model to content & risk
EPIC FEATURES
Quality Estimation
Score translations automatically
Automated Post-Editing
Clean up MT output at scale
Retrieval-Augmented Generation
Feed context with glossaries
Specialized Models
Language specific models
USE EPIC
Integrations
Connect with your TMS & Tools
API Docs
Technical docs & API references
EPIC APP
Interactive playground & sandbox
Resources
Blogs
Perspectives from our team
Reports
In-depth industry research
Webinars
Live and on-demand sessions
Case Studies
Real results from real teams
Conference Program
Day 1
Wednesday, June 19
Day 2
Thursday, June 20
Day 3
Friday, June 21
Quality Estimation Workshop
Anne-Maj van der Meer
Evolution of the research, use cases and adoption of MTQE research, over time and an overview of the employed models and the scoring techniques.
Amir Kamran (Solution Architect at TAUS)
Christian Federmann (Principal Research Manager at Microsoft)
Amir Kamran (Solution Architect at TAUS)
Coffee and tea (expo is open)
Engage in open discussion, ask questions and exchange insights with presenters and fellow participants to further explore the nuances of MTQE
Amir Kamran (Solution Architect at TAUS)
Christian Federmann (Principal Research Manager at Microsoft)
Coffee and tea (expo is open)
Executive Forum
Anne-Maj van der Meer
Yukako Ueda (NetApp)
Seventy years after the first experiment with Machine Translation at Georgetown University, MT is no longer the holy grail (or the fear) of the translation industry. With GenAI ambitions have become much bigger. The bots create content in any language, answer all our questions, tell us what’s good and what’s false or faulty. MT programs that got fired up in recent years since the breakthrough of Neural MT are losing their funding or are being morphed into new AI programs. We are not here to solve a translation problem, we are here to change the world. The sky's the limit.
In this section we get an overview of the changing landscape from AI innovation executives from around the world.
Farewell MT. Welcome AI.
Christian Federmann (Principal Research Manager at Microsoft)
John Tinsley (VP of AI Solutions at Translated)
Coffee and tea (expo is open)
The research on Speech-to-speech translation (S2S) as a moonshot project was proposed by the Japanese government in 1986. Then, thanks to innovations by a bunch of researchers in the US, Europe and Asia made S2S for daily conversations possible through smartphones and other wearable devices. Now, S2S provides simultaneous interpretation for the business scene.
Dr. Eiichiro Sumita (Director of NICT)
Dr. Rei Miyata (University of Tokyo)
Coffee and tea (expo is open)
hosted by translated