Machine learning (ML) has become a transformative force in language-related professions, particularly for experienced translators and conference interpreters. The integration of ML technologies into the field of translation and interpreting is rooted in the foundational concept that computers can automatically learn from data, identify patterns, and make decisions with minimal human intervention. This paradigm shift