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#270 AI Translation State of the Art with Tom Kocmi and Alon Lavie
53 minutes Posted Nov 21, 2025 at 10:00 am.
Intro
Professional Background
Impact of LLMs on AI Translation
Overview and Importance of WMT Conference
Automatic Evaluation Significance
Increasing Difficulty in Test Sets
Implications for Evaluation Systems
Key Findings from This Year
Importance of Regular Evaluation Updates
Comparison with Smaller Models
Pre-trained Models and Need for Dedicated Multilingual Models
Challenges in Human Translation and Evaluation
Deploying AI Translation and Evaluation in Real Workflows
How Practitioners Apply Insights from WMT
Future Directions in AI Translation
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Show notes
Tom Kocmi, Researcher at Cohere, and Alon Lavie, Distinguished Career Professor at Carnegie Mellon University, join Florian and Slator language AI Research Analyst, Maria Stasimioti, on SlatorPod to talk about the state-of-the-art in AI translation and what the latest WMT25 results reveal about progress and remaining challenges. Tom outlines how the WMT conference has become a crucial annual benchmark for assessing AI translation quality and ensuring systems are tested on fresh, demanding dat...