Unbabel Tackles Metric Bias in AI Translation – slator.com

In a March 11, 2025 paper, Unbabel introduced MINTADJUST, a method for more accurate and reliable machine translation (MT) evaluation.  MINTADJUST addresses metric interference (MINT), a phenomenon where using the same or related metrics for both model optimization and evaluation leads to over-optimistic performance estimates. The researchers identified two scenarios where MINT commonly occurs and […]

Will Podcasts Become the Key Use Case for AI Dubbing? – slator.com

A couple of studies evaluating scientific research (found here and here) published in 2024 concluded that many challenges remain in AI speech translation, such as shortcomings in nuance, prosody, and latency; lack of a single, comprehensive evaluation metric; and a scarcity of annotated training data. But a lot of progress has been made, and AI […]