Fluency and Faithfulness in Human and Machine Literary Translation

This research investigates the balance between fluency and faithfulness in literary translation, comparing human, Google Translate, and TranslateGemma performance across 106 novels in 16 source languages. It reveals a consistent negative correlation between fluency and faithfulness, particularly for human and Google Translate, and indicates that segment length significantly impacts automatic evaluation.