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 […]

Meet Tradutor, the First Open-Source AI Translation Model for European Portuguese – slator.com

Machine translation (MT) models often struggle with linguistic diversity, favoring dominant dialects and leaving many language varieties underserved. In a February 20, 2025 paper, researchers from the University of Porto, INESC TEC, Heidelberg University, University of Beira Interior, and Ci2 – Smart Cities Research Center introduced Tradutor, the first open-source AI translation model specifically tailored […]