Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting
Table 6: Results of human evaluation of FST. Scores marked with */† are significantly different from the Original data/NMT-MTL scores (p<0.05 in t-test).
['Model', 'Formality', 'Fluency', 'Meaning']
It significantly improves our baseline model trained with only original data in all three aspects, and outperforms the previous state-of-the-art model in terms of fluency (p<0.05 in t-test), confirming that our pre-training & fine-tuning approach with data augmentation is helpful in improving FST task.