Neural Machine Translation Models Display Bias in Legal Terminology
The rapid integration of Neural Machine Translation (NMT) tools like DeepL and Google Translate into professional workflows has revolutionized the speed of localization. However, a recent comprehensive study analyzing massive data sets has revealed a troubling trend: significant semantic bias when processing complex legal terminology across differing judicial systems. The Data Behind the Algorithmic Bias Legal translation is… Read More »
