Large-scale analysis of literary translations reveals a consistent negative correlation between fluency (measured via POS n-gram translationese classifier) and faithfulness (COMET-KIWI), controlled for length, across human and machine systems.
InProceedings of the 2020 Conference on Empirical Methods in Natural Language Process- ing (EMNLP), pages 2685–2702, Online
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Fluency and Faithfulness in Human and Machine Literary Translation
Large-scale analysis of literary translations reveals a consistent negative correlation between fluency (measured via POS n-gram translationese classifier) and faithfulness (COMET-KIWI), controlled for length, across human and machine systems.