A new ontology and taxonomy of compensation strategies for untranslatable cases are introduced, enabling controlled analysis of machine translation. A multilingual dataset pairs untranslatable sentences with strategy-based translations, showing human preference for outputs that include explanatory context, known as the Annotation compensation strategy.